National Immunization Survey-Teen

A User’s Guide for the 2022

Public-Use Data File

Centers for Disease Control and Prevention

National Center for Immunization 

and Respiratory Diseases

Presented by: 

NORC at the University of Chicago

December 2023
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page i 

Acknowledgments 

The development and production of the NIS-Teen public-use data files is a team effort that has included 

contributions from many individuals (listed in alphabetical order) in two organizations: 

National Center for Immunization and Respiratory Diseases, CDC – Laurie D. Elam-Evans, Sean Hu, 

Cassandra Pingali, and James A. Singleton. 

NORC at the University of Chicago – Rachel Francis, Benjamin Skalland, Kirk Wolter, and Maggie 

Yarbrough. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page ii

Table of Contents

Convention for Bolding Text .................................................................................................................... vii

1. Introduction........................................................................................................................................ 1

2. Sample Design .................................................................................................................................... 6

2.1. The NIS-Teen RDD Telephone Survey ...................................................................................... 6

2.2. The NIS-Teen Provider Record Check....................................................................................... 9

2.3. Summary of Data Collection .................................................................................................... 10

2.4. Informed Consent, Security, and Confidentiality of Information ............................................. 13

3. Content of NIS-Teen Questionnaires............................................................................................. 14

3.1. Content of the Household Questionnaire .................................................................................. 14

3.2. Content of the Immunization History Questionnaire (IHQ) ..................................................... 16

4. Data Preparation and Processing Procedures............................................................................... 18

4.1. Data Preparation ....................................................................................................................... 18

4.2. Limitations of Data Editing Procedures.................................................................................... 21

4.3. Variable-Naming Conventions ................................................................................................. 22

4.4. Missing Value Codes................................................................................................................ 22

4.5. Imputation for Item Non-Response .......................................................................................... 22

4.6. Vaccine-Specific Recoding of Verbatim Responses................................................................ 23

4.7. Subsets of the NIS-Teen Data................................................................................................... 23

4.8. Confidentiality and Disclosure Avoidance ............................................................................... 24

5. Quality Control and Quality Assurance Procedures.................................................................... 25

6. Sampling Weights............................................................................................................................ 26

6.1. Base Sampling Weight ............................................................................................................. 27

6.2. Adjustments for Non-Resolution of Telephone Numbers and Screener Non-Response .......... 27

6.3. Adjustment for Subsampling of One Teen per Household ....................................................... 28

6.4. Adjustment for Interview Non-Response ................................................................................. 28

6.5. Adjustment for Multiple Cellular Phones and Deriving Annual Weights................................ 29

6.6. Post-Stratification ..................................................................................................................... 29

6.7. Adjustment for Provider Non-Response ................................................................................... 31

7. Contents of the Public-Use Data File ............................................................................................. 34

7.1. Section 1: ID, Weight, and Flag Variables ............................................................................... 35

7.2. Section 2: Household-Reported Vaccination and Health Information ..................................... 35

7.3. Section 3: Demographic, Socio-Economic, and Other Household/Teen Information .............. 38

7.4. Section 4: Geographic Variables.............................................................................................. 40

7.5. Section 5: Number of Providers Identified and Consent Variables .......................................... 40

7.6. Section 6: Number of Responding Providers Variables ........................................................... 41

7.7. Section 7: Characteristics of Providers Variables..................................................................... 41
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page iii

7.8. Section 8: Provider-Reported Up-To-Date Vaccination Variables .......................................... 43

7.9. Section 9: Provider-Reported Age-At-Vaccination Variables.................................................. 47

7.10. Section 10: Health Insurance Module Variables ...................................................................... 48

8. Analytic and Reporting Guidelines................................................................................................ 50

8.1. Use of NIS Sampling Weights .................................................................................................. 50

8.2. Estimation and Analysis ........................................................................................................... 51

8.3. Combining Multiple Years of NIS-Teen Data.......................................................................... 53

9. Summary Tables.............................................................................................................................. 62

10. Assessment of Total Survey Error in the NIS-Teen ..................................................................... 63

10.1 Comparisons of NIS-Teen Data to External Sources................................................................. 63

10.2 Assessment of Total Survey Error for NIS-Teen Vaccination Coverage Estimates.................. 67

11. Limitations........................................................................................................................................ 72

12. Citations for NIS-Teen Data ........................................................................................................... 73

13. References......................................................................................................................................... 88
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page iv

Appendices

Appendix A: Glossary of Abbreviations and Terms ................................................................................... 92

Appendix B: Summary Statistics for Sampling Weights by Estimation Area............................................ 94

Appendix C: Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate 

Vaccination Coverage Rates and Their Standard Errors, and Example of the Production of a CrossTabulation and Chart................................................................................................................................... 98

Appendix D: Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files......................... 131

Appendix E: Summary Tables .................................................................................................................. 254

Appendix F: Vaccine Type Codes ............................................................................................................ 264

Appendix G: Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2022 .... 266

Appendix H: Key NIS-Teen Response Rates by Area.............................................................................. 274
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page v 

List of Tables and Figures 

Table 1: Selected Operational Results (Excluding U.S. Territories), National Immunization Survey – 

Teen, 2022 ...............................................................................................................................12

Table 2: Content of the Household Interview, National Immunization Survey – Teen, 2022 .............. 15

Table 3: Vaccine Categories and Vaccine Types, National Immunization Survey - Teen, 2022 .......... 46

Table 4: Summary of Weights and Stratum Variables, National Immunization Survey - Teen, 2022.. 51

Table 5: Cross-Walk Between Annual Estimation Areas, ESTIAPT08-ESTIAPT22, and Common 

Denominator Estimation Area (CDIAP), National Immunization Survey - Teen, 2022 ......... 58

Figure 1: Scatter Plot of Percentage Point Difference between 2021 NIS-Teen and IISAR Vaccination 

Coverage Rates for One or More Doses of Tdap vs. IIS Adolescent Participation Rate (APR) 

with Regression Line: 56 Estimation Areas ............................................................................ 66

Table 6: Mean and 95% Credible Interval for the Estimated Total Survey Error (TSE) Distribution and 

Component Error Distributions for National Vaccination Coverage Rate Estimates, National 

Immunization Survey - Teen, 2022 ......................................................................................... 70

Table B.1: Distribution of Sampling Weights for Teens with Completed Household Interviews, National 

Immunization Survey - Teen, 2022 ......................................................................................... 94

Table B.2: Distribution of Sampling Weights for Teens with Adequate Provider Data, National 

Immunization Survey - Teen, 2022 ......................................................................................... 96

Table D.1 Alphabetical Listing of Variables in the Public-Use Data Files, National Immunization 

Survey - Teen, 2008-2022 ..................................................................................................... 131

Table E.1: Estimated Population Totals and Sample Sizes of Teens Aged 13-17 Years by State and 

Estimation Area, National Immunization Survey - Teen, 2022 ............................................ 254

Table E.2: Estimated Population Totals and Sample Sizes by Age of Teen by Maternal Education, 

National Immunization Survey - Teen, 2022 ........................................................................ 256

Table E.3: Estimated Population Totals and Sample Sizes by Age of Teen by Poverty Status, National 

Immunization Survey - Teen, 2022 ....................................................................................... 257

Table E.4: Estimated Population Totals and Sample Sizes by Race/Ethnicity by Poverty Status, National 

Immunization Survey - Teen, 2022 ....................................................................................... 258

Table E.5: Estimated Population Totals and Sample Sizes by Age of Teen by Race/Ethnicity, National 

Immunization Survey - Teen, 2022 ....................................................................................... 259

Table E.6: Estimated Population Totals and Sample Sizes by Age and Sex of Teen, National 

Immunization Survey - Teen, 2022 ....................................................................................... 260

Table E.7: Estimated Vaccination Coverage, With Selected Vaccines Among Adolescents Aged 13-17 

Years, by State and Selected Area -- National Immunization Survey - Teen, United States, 

2022 ....................................................................................................................................... 261
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page vi

Table F.1: Vaccine Type Codes, National Immunization Survey - Teen, 2022 ..................................... 264

Table G.1: Key Indicators from Landline Sample Household and Provider Data Collection by Survey 

Year, National Immunization Survey - Teen, 2006-2017 ..................................................... 266

Figure G.1: Trends in Landline Sample Key Indicators from Household and Provider Data Collection by 

Survey Year, National Immunization Survey - Teen, 2006-2017 ......................................... 267

Table G.2: Key Indicators from Cellular Phone Sample Household and Provider Data Collection by 

Survey Year, National Immunization Survey - Teen, 2011-2022 ......................................... 268

Figure G.2: Trends in Cellular Phone Sample Key Indicators from Household and Provider Data 

Collection by Survey Year, National Immunization Survey - Teen, 2011-2022 .................. 268

Table G.3: CASRO Response Rate for the Combined Landline and Cellular Phone Samples by Survey 

Year, National Immunization Survey - Teen, 2011-2017 ..................................................... 270

Figure G.3: Trend in CASRO Response Rate for the Combined Landline and Cellular Phone Samples by 

Survey Year, National Immunization Survey - Teen, 2011-2017 ......................................... 270

Table G.4: Vaccine-Specific Coverage Levels among Teens Age 13-17 Years in the United States by 

Survey Year, National Immunization Survey - Teen, 2006-2022 ......................................... 272

Figure G.4: Trends in Vaccine-Specific Coverage Levels among Teens Aged 13-17 Years in the United 

States by Survey Year, National Immunization Survey - Teen, 2006-2022 ......................... 273

Table H.1: Key Indicators for the Cellular Phone Sample by Estimation Area, National Immunization 

Survey - Teen, 2022 .............................................................................................................. 274

 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page vii

Convention for Bolding Text

The Data User's Guide uses bold font 

to highlight substantive changes in the 

methodology or study design from the 

previous year’s Guide. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page viii

This page intentionally blank.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 1 

1. Introduction 

In 1992, the Childhood Immunization Initiative (CII) (CDC 1994) was established to 1) improve the 

delivery of vaccines to children; 2) reduce the cost of childhood vaccines; 3) enhance awareness, 

partnerships, and community participation; 4) improve vaccinations and their use; and 5) monitor 

vaccination coverage and occurrences of disease. The Healthy People 2020 objectives later established a 

target for adolescents aged 13–15 years of 80% coverage with ≥1 Tdap, ≥1 MenACWY, and ≥3 HPV 

doses in females and males, and 90% coverage for ≥2 varicella vaccine doses. The Healthy People 2030 

objectives for vaccination coverage aim to increase the proportion of adolescents aged 13–15 years who 

have received the recommended number of doses of HPV vaccine (≥2 or ≥3 doses) among females and 

males combined to 80% by 2030. To fulfill the CII mandate of monitoring vaccination coverage and 

marking progress toward achieving those objectives, the National Immunization Survey (NIS) Family of 

Surveys with an adolescent component called the NIS-Teen was implemented by the National Center for 

Immunization and Respiratory Diseases (NCIRD) and the National Center for Health Statistics (NCHS) 

of the Centers for Disease Control and Prevention (CDC) in 2006 (http://www.cdc.gov/vaccines/imzmanagers/nis/about.html).

The target population for the NIS-Teen is non-institutionalized adolescents aged 13–17 years living in 

United States households at the time of the interview. The official coverage estimates reported from the 

NIS-Teen are proportions of adolescents up-to-date with respect to the recommended numbers of doses of 

all routinely recommended vaccines for adolescents and selected catch-up vaccines (Wodi et al. 2022). 

These vaccines and their recommended numbers of doses are: 

• Tetanus, diphtheria, and acellular pertussis vaccine (Tdap) – 1 dose; 

• Quadrivalent meningococcal vaccine (MenACWY) – 2 doses; 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 2 

• Human papillomavirus vaccine (HPV) – 2 or 3 doses, depending on age at first dose1; 

• Measles, mumps, and rubella vaccine (MMR) – 2 doses;

• Hepatitis B vaccine (Hep B) – 3 doses; 

• Varicella zoster (chicken pox) vaccine – 2 doses among adolescents with no varicella disease 

history; 

• Hepatitis A vaccine (Hep A) – 2 doses; and

• Seasonal influenza vaccine – 1 dose annually. 

The NIS-Teen is conducted as an add-on to the National Immunization Survey - Child (NIS-Child), 

which seeks to estimate vaccination coverage rates among children aged 19–35 months. The NIS-Child

uses a random digit dialing (RDD) telephone survey2

 to identify households containing children aged 19–

35 months and interviews the adult who is most knowledgeable about the child’s vaccinations. If an 

eligible household is identified and the NIS-Child interview is completed, the household is then screened 

for the presence of 13–17 year-old adolescents. Households that do not contain a 19–35 month old child 

are not administered the NIS-Child interview but are immediately screened for the presence of a 13–17 

year-old adolescent. If a household containing one or more adolescents aged 13–17 years is identified, a 

13–17 year-old adolescent is randomly chosen, and the adult who is most knowledgeable about the teen's 

vaccinations is interviewed. With consent of the teen's parent or guardian, the NIS-Teen also contacts (by 

mail) the teen's vaccination provider(s) to request information on vaccinations from the teen's medical 

records. NIS-Teen sampling, data collection, and weighting operations are conducted by NORC at the 

University of Chicago. 

1 The 2-dose HPV vaccination schedule was approved in October 2016 for adolescents who received their first dose 

before age 15 (Meites, Kempe, and Markowitz, 2016). Therefore, changes in vaccination due to the new 

recommendation would be reflected in the 2022 NIS-Teen data for adolescents receiving HPV vaccinations after 

that time (see Walker et al., 2018).

2 The NIS-Child used a landline-only sampling frame during 1995–2010, a dual-frame design in 2011–2017 which 

included both landline and cell-phone sampling frames, and a single-frame cell-phone sample since 2018.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 3 

Samples of telephone numbers are drawn independently, for each calendar quarter, within selected 

geographical areas. For the 2022 NIS-Teen, there are 58 geographic strata for which vaccination coverage 

levels can be estimated, including 5 local areas; the remaining 52 are either an entire state, the District of 

Columbia, a U.S. territory (Guam or Puerto Rico), or a “rest of state” area. This design makes it possible 

to produce annual estimates of vaccination coverage levels within each of the 58 estimation areas with a 

specified degree of precision (a coefficient of variation of approximately 6.5%). Further, by using the 

same data collection methodology and survey instruments in all estimation areas and across years, the 

NIS-Teen produces comparable vaccination coverage levels among estimation areas and over time.

When the NIS-Teen was first conducted in Quarter 4 of 2006 and Quarter 4 of 2007, the survey was 

designed to produce estimates at the national level only. Starting in 2008, the NIS-Teen was expanded to 

produce estimates in 56 areas, including the 50 states, District of Columbia, and 5 local areas that receive 

federal Section 317 immunization grants (Bexar County, TX; City of Chicago, IL; City of Houston, TX; 

New York City, NY; Philadelphia County, PA). These areas are called estimation areas. In 2022, the 

NIS-Teen included Guam and Puerto Rico as additional estimation areas. As noted throughout this 

report, some procedures differed for territories when compared to the rest of the United States, including 

the creation of separate survey weight variables for analyses that are to include territories. 

Data for Guam are not included in the 2022 public-use data file to protect respondent confidentiality, as 

the sampling fractions were large in this small-population area. Interested researchers can access data for 

Guam by submitting a proposal and working through the Research Data Center. The link and guidelines 

for developing a proposal are located at https://www.cdc.gov/rdc. 

For the 2022 NIS-Teen, household interviews began on January 6, 2022 and ended on January 30, 

2023. Provider data collection extended from February 2022 through March 2023. A total sample, 

including the territory samples, of approximately 14.2 million telephone numbers yielded household 

interviews for 44,270 teens, 16,954 of whom had adequate provider data (provider-reported 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 4 

vaccination data adequate to determine whether the teen was up-to-date with respect to the 

recommended vaccination schedule). The 2022 NIS-Teen public-use data file (which includes data 

from Puerto Rico but does not include data for Guam) contains data for 43,738 teens with 

completed household interviews, and more extensive data (e.g., provider-reported vaccination 

histories and facility data) for 16,714 teens with adequate provider data (including 129 

unvaccinated teens). Data were collected Guam in 2022, although adolescents in this area are not 

included on the public-use data file in order to protect their confidentiality. 

NIS-Teen vaccination coverage estimates are based on provider-reported vaccination histories from 

adolescents with adequate provider data (APD). In 2014, the household questionnaire was shortened to 

reduce the length of the household interview, decrease respondent burden, and potentially improve survey 

response rates. Questions that were previously used to define APD were no longer available, thus 

necessitating a modification to the APD definition used by the NIS-Teen (for more details, see CDC, 

2015a; CDC, 2015b). NIS-Teen estimates for 2022 will be directly comparable to NIS-Teen estimates 

published since 2014, but not to estimates published prior to 2014. 

The weights included in this public-use data file allow data analysts to conduct several different types of 

analysis, depending on interests and aims. One can choose to analyze all teens with completed household 

interviews or only the subset of teens for whom the provider-reported data are adequate. CDC publishes 

estimates of vaccination coverage based on provider-reported vaccination histories using the subset of 

teens for whom the provider-reported data are adequate. Parental reported vaccination status is subject to 

recall error (Dorell et al. 2011, Ojha et al. 2013). Also, one can choose to include or exclude teens who 

reside in territories in the analysis. Previous NIS-Teen public-use files have provided analysts with these 

capabilities as well. Section 6 of this user’s guide provides information about the creation of the weight 

variables included in the 2022 NIS-Teen public-use data file, and Section 8 provides guidance for their 

use. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 5 

Vaccination coverage estimates for 2022 are available on the TeenVaxView website,

https://www.cdc.gov/vaccines/imz-managers/coverage/teenvaxview/index.html. 

The accompanying codebook (NCIRD, 2023) documents the contents of the 2022 NIS-Teen public-use 

data file, and Section 7 of this user's guide describes these contents in detail. For reference, Appendix D 

(Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files) provides a full list of variables 

in the 2022 and previous public-use data files. NIS-Teen data and documentation for 2015 to the present 

are available at: https://www.cdc.gov/vaccines/imz-managers/nis/datasets-teen.html. 

Additional information on the NIS-Teen is available at: http://www.cdc.gov/vaccines/imzmanagers/nis/about.html. 

For additional information on the NIS-Teen public-use data file, please contact the NCIRD Information 

Dissemination Staff:

Information Dissemination Staff, NCIRD 

1600 Clifton Road 

Atlanta, GA 30333 

E-mail: cdcinfo@cdc.gov

Internet: https://www.cdc.gov/vaccines/imz-managers/nis/index.html
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 6 

2. Sample Design

The NIS-Teen uses two phases of data collection to obtain vaccination information for a large national 

probability sample of teens: (1) a RDD telephone survey designed to identify households with adolescents

aged 13–17 years, followed by (2) the Provider Record Check, a mailed survey to teens’ vaccination

providers. This section summarizes these two phases of data collection. Descriptions of the history and 

general design of the NIS family of surveys are given by Ezzati-Rice et al. (1995), Zell et al. (2000), 

Smith et al. (2001a, 2005), Jain et al. (2009), and Wolter et al. (2017a). 

2.1. The NIS-Teen RDD Telephone Survey 

The NIS-Teen RDD telephone survey phase uses independent, quarterly samples of telephone numbers.

Sampling frames were provided by Marketing Systems Group (MSG). Cellular phone numbers were 

sampled within estimation areas in each quarter of 2022. Table E.1 (in Appendix E) lists the estimation

areas for the 2022 NIS-Teen by state or territory and shows the estimated number of teens living in each 

state or territory and estimation area in 2022.

Because the NIS-Teen is an add-on survey to the NIS-Child, the NIS-Teen uses the same sampling frame 

and sampling methodology as the NIS-Child. In 2022, this was a single-frame cellular phone sampling 

design, with telephone numbers sampled only from a sampling frame of cellular phone numbers. Prior to 

2011, the NIS-Teen was based on a landline telephone sample. A cellular phone sample was added to the 

survey in 2011 in order to address the rapid rise of cellular phone-only households. As cellular phone 

penetration has increased, fewer and fewer households, especially households with children, have relied 

only on a landline telephone. Because the proportion of households with children that are reachable only 

by landline telephone is now very small – only 0.3% in 2022 (Blumberg and Luke 2023) – the landline 

sample was dropped beginning in 2018, and the NIS-Teen now uses only a cellular phone sample. A 

discussion of this change and its impact is given by Nguyen et al. (2019). 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 7 

The target sample size of completed telephone interviews in each estimation area is designed to achieve 

an approximately equal coefficient of variation of 6.5% for an estimator of vaccination coverage derived 

from provider-reported vaccination histories, given a true coverage parameter of 50%. Cellular phone 

sample sizes were chosen to meet the target coefficient of variation of 6.5%.

Since 2019, the NIS sample design has included a modification to increase the efficiency of data 

collection. Immunization Information Systems (IIS) are state or local confidential, computerized, 

population-based data systems that collect and consolidate vaccination doses administered by 

participating vaccination providers to persons residing in a given geopolitical area. In participating 

geographic estimation areas, a two-phase RDD sample of cellular phone numbers is selected, with the 

second-phase sample stratified by the status of the telephone number in the corresponding IIS: 

• Stratum 1: Phone number associated with a 19-35 month old child in the IIS 

• Stratum 2: Phone number associated with a 13-17 year old adolescent in the IIS (but not with a 

19-35 month old child in the IIS) 

• Stratum 3: Phone number associated with a 6-18 month or 3-12 year old child in the IIS (but not 

with a 19-35 month old child or 13-17 year old adolescent in the IIS) 

• Stratum 4: Phone number not associated with a 6 month to 17 year old child in the IIS 

In the second phase of sampling, phone numbers falling into Strata 1, 2, and 3 were oversampled. The 

method was designed to maximize the effective sample sizes for the NIS family of surveys, given a fixed 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 8 

cost for data collection, within each of the participating geographic estimation areas. For the 2022 

sample, 30 areas participated in this two-phase sampling process to increase efficiency of sampling.

3

 

In 2022, including the U.S. territory samples, 38.3% of teens with a completed household interview 

were determined to have adequate provider data. Excluding territories, this proportion was 38.8%. 

The percentage of teens with adequate provider data in 2022 varies among the non-territory 

estimation areas (from 32.4% in TX-City of Houston to 48.7% in Vermont); among the U.S. 

territories, the percentages were 45.1% in Guam and 27.8% in Puerto Rico (see Appendix E). The 

phrase “adequate provider data” means that sufficient vaccination history information was obtained from 

the provider(s) to determine whether the teen is up-to-date with respect to the recommended vaccination 

schedule. In 2014, the definition of adequate provider data was expanded to include all adolescents with 

provider-reported vaccination data (CDC, 2015a; CDC, 2015b). In 2021, the NIS-Teen began collecting 

data on COVID-19 vaccination, and the definition of adequate provider data was further revised to 

exclude adolescents for whom only COVID-19 vaccinations were reported; this change was made to 

maintain consistency in the definition between 2021 and prior years. Unvaccinated teens are also 

considered to have adequate provider data. These are teens for whom either (1) the respondent reported 

during the household interview that the teen had received no vaccinations and has no providers, or (2) the 

respondent reported during the household interview that the adolescent had received no vaccinations but 

has one or more providers, and those providers all reported administering no vaccinations. The number of 

unvaccinated teens in the sample is small (130 in 2022, including the U.S. territory samples).

The design and implementation of the NIS-Teen cellular phone sample involve three procedures. First, 

statistical models predict the number of sample cellular phone numbers needed in each estimation area to 

3 The participating geographic areas in 2022 were Alaska, Arkansas, Connecticut, Florida, Georgia, Idaho, Iowa, 

Kansas, Kentucky, Louisiana, Maryland, Michigan, Mississippi, Missouri, Nebraska, Nevada, New Mexico, New 

York – City of New York, North Carolina, North Dakota, Ohio, Oklahoma, Rhode Island, South Dakota, Tennessee, 

Utah, Vermont, Washington, Wyoming, and Puerto Rico. Not all of these areas utilized the IIS-NIS integration 

design in every quarter of 2022; Georgia used the integration design only in quarter 4. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 9 

meet the target precision requirements, and, from among the entire NIS-Child sample of telephone 

numbers, this number of telephone numbers are “flagged” to be part of the NIS-Teen sample. Second, the 

sample for an estimation area is divided into random sub-samples called replicates. By releasing 

replicates as needed, it is possible to spread the interviews for each sampling area evenly across the entire 

calendar quarter. Third, an automated procedure eliminates numbers on the NIS do-not-call list from the 

sample before the interviewers dial them.

In 2014 and 2015, an automated process was implemented to remove cellular phone numbers flagged as 

having no recent activity and that were therefore very likely to be non-working cellular phone numbers. 

In 2016, a different automated process found to be more efficient in removing non-working cellular phone 

numbers was used. Following a July 2016 Federal Communications Commission (FCC) declaratory 

ruling (FCC 16-72, CG Docket No. 02-278) stating that the federal government and contractors working 

on behalf of the federal government are not subject to the restrictions on cellular phone dialing in the 

Telephone Consumer Protection Act of 1991 (TCPA, 47 U.S.C. 227), the NIS transitioned from manual 

dialing of cellular phones to auto-dialing cellular phones in November 2016. After this transition, the 

automated process to remove non-working cellular phone numbers was no longer cost effective, and 

beginning in 2017 this process was no longer used in the cellular phone sample. 

2.2. The NIS-Teen Provider Record Check

At the end of the household interview, consent to contact the teen’s vaccination provider(s) is requested 

from the parent/guardian. When oral consent is obtained, each provider is mailed an immunization history 

questionnaire (IHQ). This mail survey portion of the NIS-Teen is the Provider Record Check. 

The instructions ask vaccination providers to mail or fax the immunization history questionnaire back 

upon completion. Two weeks after the initial mailing, a telephone call is made to providers who have still 

not responded, to remind and encourage them to complete the form and either mail or fax the information 

back. In some instances, provider-reported vaccination histories are completed over the telephone. The 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 10 

data from the questionnaires are edited, entered, cleaned, and merged with the household information 

from the RDD survey to produce a teen-level record. 

2.3. Summary of Data Collection

Table 1 presents selected operational results of NIS-Teen data collection for calendar year 2022 for the 

NIS-Teen sample. To facilitate comparisons with prior NIS-Teen surveys, the numbers, which are 

presented in Table 1 and discussed in this section, exclude the U.S. territory samples. Adolescents aged 

13–17 years during 2022 data collection were born between January 2004 and January 2010. 

The total cellular phone RDD sample (in replicates that were released for use) consisted of 

14,181,051 telephone numbers. Of these, 21,183 were eliminated before release to the telephone 

centers as numbers on the NIS do-not-call list, and the remaining 14,159,868 were sent to the 

telephone centers to be dialed. A total of 966,705 active personal cellular phone numbers (APCNs)

were identified as shown in Row F. Among the identified APCNs, 756,978 (78.3%) were successfully 

screened. Of these, 61,397 (8.1%) were deemed eligible for the NIS-Teen interview. Respondents

were eligible if the cellular phone belonged to an adult living in a household with at least one ageeligible teen. Among the identified eligible households, 41,234 (67.2%) completed the household 

interview.

A standard approach for measuring response rates in telephone surveys has been defined by the Council 

of American Survey Research Organizations (CASRO 1982). The CASRO response rate is equivalent to 

“RR3” of AAPOR Standard Definitions (AAPOR 2016). In 2022, the CASRO response rate (Row J) 

was 23.0%. The NIS-Teen CASRO response rate equals the product of the resolution rate (43.7%, 

Row E), the screening completion rate (78.3%, Row G), and the interview completion rate among 

eligible households (67.2%, Row I). The resolution rate is the percentage of the total telephone numbers 

selected that are classifiable as non-working, non-residential, or residential. The screening completion 

rate is the percentage of known households that are successfully screened for the presence of age-eligible 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 11 

teens. The interview completion rate is the percentage of households with one or more age-eligible teens 

that complete the household interview.

Row K of Table 1 shows that household interviews were completed for 41,325 age-eligible teens4

. 

Rows L through O give results for the Provider Record Check phase. Specifically, Row L gives the 

rate of obtaining oral consent from household respondents to contact their teen's vaccination 

providers – 49.2% in 2022. The number of immunization history questionnaires mailed to vaccination 

providers exceeds the number of completed interviews for teens with consent because some teens have 

more than one vaccination provider. Of the questionnaires mailed to providers of teens, 29,354 

(88.5%, Row N) were returned. Among the teens with completed household interviews, 16,043 

(38.8%, Row O) had adequate vaccination histories based on provider reporting (17,899) or were 

determined to be unvaccinated (126). The other 61.2% of teens lacked adequate provider data for a 

variety of reasons, such as the parent or guardian did not give consent to contact the teen's 

provider(s), the provider(s) did not respond, or the provider(s) responded but did not report any

vaccinations for the teen despite the parent or guardian indicating that the teen has received 

vaccinations. 

In 2022, data from the Health Insurance Module (HIM) were collected (see Section 3.1). Among the 

41,325 teens with completed household interviews, 21,427 (51.8%, Row P) completed the HIM. 

For each estimation area and each state or territory, Table E.1 (see Appendix E) shows the number of 

teens with completed household interviews and the number of teens with adequate provider data. 

4 This figure may differ from that in Row I because some completed interviews were removed when edits to the 

teen’s date of birth rendered the teen ineligible. Differences may also occur because Row I excludes teens initially 

sampled in the U.S. territories, while row K excludes teens currently living in the U.S. territories. Thus, Row I 

reflects the removal of teens not sampled but currently living in U.S. territories, and the addition of teens sampled 

but not currently living in U.S. territories.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 12 

Table 1: Selected Operational Results (Excluding U.S. Territories), National Immunization 

Survey – Teen, 2022 

Row Key Indicator 

 

Cellular Phone Sample Formula

Number Percent 

Household Phase

A Total Selected Telephone Numbers in Released Replicates 14,181,051 -- -- 

B Phone Numbers Resolved before Computer-Assisted Telephone 

Interviewing 21,183 0.1% B/A 

C Total Phone Numbers Released to Telephone Centers 14,159,868 -- A-B 

D Advance Letters Mailed 0 0.0% D/C

E Resolved Phone Numbers1 – Resolution Rate 6,203,007 43.7% E/A

F Households Identified – APCN Rate2 966,705 15.6% F/E

G Households Successfully Screened3 – Screener Completion Rate 756,978 78.3% G/F

H Eligible Households – Eligibility Rate4 61,397 8.1% H/G

I Households with Completed Household Interviews – Interview 

Completion Rate 41,234 67.2% I/H 

J CASRO5 Response Rate6 -- 23.0% -- 

K Age-Eligible Teens with Completed Household Interviews7 41,325 -- -- 

Provider Phase

L Teens with Consent to Contact Vaccination Providers 20,334 49.2% L/K

M Immunization History Questionnaires Mailed to Providers 33,176 -- -- 

N Immunization History Questionnaires Returned from Providers 29,354 88.5% N/M

O Teens with Adequate Provider Data

16,043 

(includes 126 

unvaccinated 

teens)

38.8% O/K

Modules

P Age-Eligible Teens with Completed Household Interview and 

Completed Health Insurance Module 21,427 51.8% P/K

1 A phone number is resolved if it was determined to be either a non-working number or a working residential number. This 

row includes phone numbers resolved before computer-assisted telephone interviewing (CATI) (Row B). The numbers 

resolved before CATI interviewing are those on the NIS do-not-call list. 2 Active personal cellular phone number (APCN) rate. 3 The household screener screens for non-minor-only cellular phone households with age-eligible children.

4 Of the screened households, the proportion that were non-minor-only cellular phone households with age-eligible children. 5 CASRO, Council of American Survey Research Organizations.

6 The response rate is the number of households with a completed household interview divided by the estimated number of 

eligible households in the sample. The number of eligible households was estimated using the CASRO assumptions; these 

assumptions are that the rate of households among the unresolved telephone numbers is the same as the observed rate of 

households among the resolved telephone numbers, and the rate of eligible households among unscreened households is the 

same as the observed rate of eligible households among screened households. Under these assumptions, the CASRO response 

rate is equal to the product of the resolution rate, the screener completion rate, and the interview completion rate. 

7 Rows K-P reflect the removal of teens with an ineligible best date of birth, the removal of teens who were not sampled but 

reported living in a U.S. territory, and the addition of teens sampled in a U.S. territory who reported living in the non-territory 

United States.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 13 

2.4. Informed Consent, Security, and Confidentiality of Information

The introduction to the telephone survey and oral consent assure the respondent of the confidentiality of 

his/her responses and the voluntary nature of the survey. Informed consent is obtained from the person in 

the household most knowledgeable about the eligible teen’s vaccination history (generally the parent or 

guardian of the teen). Informed consent to contact the teen’s vaccination provider(s) is obtained at the end 

of the interview.

Information in the NIS-Teen is collected and processed under high security. To ensure privacy of the 

respondents and confidentiality of sensitive information, standards have been established for release of 

data from this survey. All CDC staff and contractor staff involved with the NIS-Teen sign confidentiality 

agreements and follow instructions to prevent disclosure. 

All information in the NIS-Teen is collected under strict confidentiality and can be used only for research 

[Section 308(d) of the Public Health Service Act, 42 U.S. Code 242m(d), the Privacy Act of 1974 (5 U.S. 

Code 552a)]. Prior to public release, the contents of the public-use data file go through extensive review 

by the NCIRD Disclosure Review Board to protect participant privacy as well as data confidentiality.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 14 

3. Content of NIS-Teen Questionnaires 

This section describes the questionnaires used in the 2022 NIS-Teen telephone interview of households 

and in the NIS-Teen Provider Record Check. 

3.1. Content of the Household Questionnaire 

The computer-assisted telephone interview (CATI) questionnaire used in the RDD phase of NIS-Teen

data collection consists of two parts: a screener to identify households with adolescents aged 13—17 

years and an interview portion. The questionnaire is modeled on the Immunization Supplement to the 

National Health Interview Survey (NHIS) (NCHS 1999). The NIS-Teen CATI questionnaire has been 

translated into Spanish, and LanguageLine Solutions® (formerly part of AT&T) is used for real-time 

translation into many other languages (Wall et al. 1995). Table 2 summarizes the content of each section 

of the NIS-Teen household interview. The CATI questionnaire is available at

http://www.cdc.gov/vaccines/imz-managers/nis/datasets-teen.html.

In the first section, the household is initially screened to ensure that the cellular phone is used by an adult 

(i.e., to ensure it is not a minor-only cellular phone), and then screened for the presence of children aged

19-35 months. If the household contains such a child, the NIS-Child interview is conducted before the 

household is screened for the NIS-Teen survey; if the household does not contain such a child, the 

household immediately proceeds to the NIS-Teen screener. 

In the next section with the NIS-Teen screener, the purpose of the survey is explained to the respondent, 

and the ages of all the children in the household are obtained. If the household contains one or more 

adolescents aged 13—17 years, a 13—17 year-old adolescent is randomly chosen to be the subject of the 

interview, this teen’s date of birth is collected, and the respondent is asked whether he/she is the most 

knowledgeable person for this teen’s vaccination history. If the respondent indicates that another person 

in the household is more knowledgeable, the interviewer asks to speak to him/her at that time. If that 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 15 

person is unavailable to be interviewed, the name of the most knowledgeable person is recorded, and a 

callback is scheduled for a later date. 

Table 2: Content of the Household Interview, National Immunization Survey – Teen, 2022 

Questionnaire 

Section

Content of Section

Section S Screening questions to determine NIS-Child eligibility

NIS-Teen Screener Screening questions to roster children and to determine NIS-Teen eligibility 

Section B Ever vaccinated and flu, Td/Tdap, meningococcal, and HPV vaccination 

questions 

Section C Teen and household health questions, demographic and socioeconomic questions

Section D Provider information and request for consent to contact the teen’s vaccination 

provider(s) 

Section E Health Insurance Module (HIM)

The standard NIS-Teen questionnaire formerly included Section A following the NIS-Teen Screener, 

which asked about vaccinations recorded on a paper “shot card” sometimes given to families to track 

vaccination dates and dosages. After asking whether the respondent has a shot card of the teen’s 

vaccination history, he/she was asked whether the shot card was easily accessible. If so, the interview 

proceeded with Section A (which asked respondents with shot cards about the shots on the card), 

followed by Section C; if not, it proceeded with Section B followed by Section C. Beginning in Q1/2014, 

Section A was eliminated from the regular household questionnaire and all respondents were

administered Section B. Section B was also shortened. The remaining Section B questions are a limited 

set of questions regarding flu, Td/Tdap, meningococcal, and HPV vaccinations; questions about measles, 

varicella, hepatitis A, and hepatitis B vaccines were removed. In 2015 and 2016, Section A was reinstated 

for Guam respondents, but was discontinued for all respondents beginning in 2017. 

Section C collects information about the health of the selected teen, including recent doctor visits and 

history of chicken pox disease, asthma, and other health conditions. Section C also obtains information 

that includes the relationship of respondent to the teen, race and Hispanic origin of the teen, household 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 16 

income, educational attainment of the mother, and other information on the socioeconomic characteristics 

of the household and the teen. 

In the Provider Section (Section D) of the NIS-Teen household interview, identifying information (such 

as name, address, and telephone number) for the teen’s vaccination provider(s) is requested, as well as the 

full names of the teen and the respondent, so that NIS-Teen personnel can contact the provider(s) and 

identify the teen whose vaccination information the NIS-Teen is requesting. After this information is 

obtained, consent to contact the teen’s vaccination provider(s) is requested. When oral consent and 

sufficient identifying information are obtained, the immunization history questionnaire is mailed to the 

teen’s vaccination provider(s). 

A Health Insurance Module (HIM) (Section E) is administered upon completion of the Provider Section 

to collect data regarding the types of medical insurance coverage the teen has had since age 11 years. If a 

respondent provided consent to contact medical providers and completed the Provider Section, he/she 

flowed directly into the HIM. If, however, consent or any other critical provider question was refused, the 

call was terminated and the respondent was called back later to attempt to complete the Provider Section

and obtain consent. Only upon callback on which consent was granted or a second refusal given within 

the Provider Section was the respondent asked the HIM. 

3.2. Content of the Immunization History Questionnaire (IHQ)

The IHQ mailed to the vaccination providers is designed to be simple and brief, to minimize provider 

burden and encourage survey participation. The structure and content of this form were initially derived 

from the National Immunization Provider Record Check Study (NHIS/NIPRCS), which collected and 

reconciled vaccination data from the providers of respondents to the Immunization Supplement to the 

National Health Interview Survey (Bartlett et al., 2001). The IHQ consists of two double-sided pages. 

Page 1 includes space for the label that gives the teen’s name, date of birth, and sex. The remainder of 

page 1 contains questions about the facility and vaccination provider. Page 2 gives instructions for filling 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 17 

out the shot grid, which appears on page 3. Page 4 thanks the vaccination provider for providing the 

information, and lists websites and telephone numbers that can be used to obtain more information about 

the NIS-Teen and the National Center for Immunization and Respiratory Diseases. The IHQ is available 

at http://www.cdc.gov/vaccines/imz-managers/nis/datasets-teen.html.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 18 

4. Data Preparation and Processing Procedures

The household and provider data collection in the NIS-Teen incorporate extensive data preparation and 

processing procedures. During the household interview, the CATI system supports reconciliation of 

critical errors as interviewers enter the data. After completion of interviewing for a quarter, post-CATI 

editing and data cleaning produce a final interview data file. The editing of the provider data begins with 

a manual review of returned immunization history questionnaires, data entry of the questionnaires, and 

cleaning of the provider data file. After the provider data are merged with the household interview data 

and responses from multiple providers for a teen are consolidated into a single vaccination history, the 

editing continues. A quality assurance check is performed based on the name, sex, and date of birth of the 

teen to ensure that the provider completed the questionnaire for the correct teen and to confirm ageeligibility (age 13—17 years at time of interview). Editing of the provider-reported vaccination dates then 

attempts to resolve specific types of discrepancies in the provider data. The end product is an analytic file 

containing household and provider data for use in estimating vaccination coverage. 

4.1. Data Preparation

The editing and cleaning of NIS-Teen data involve several steps. First, the CATI system enables 

interviewers to reconcile potential errors while the respondent is on the telephone. Further cleaning and 

editing take place in a post-CATI clean-up stage, involving an extensive review of data values, cross 

tabulations, and the coding of verbatim responses for race and ethnicity. The next step involves the 

creation of numerous composite variables. Provider data are cleaned in a separate step. After these steps 

have been completed, imputations are performed for item non-response on selected variables, and weights 

are calculated. The procedures and rules of the National Health Interview Survey serve as the standard in 

all stages of data editing and cleaning (http://www.cdc.gov/nchs/nhis.htm).
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 19 

4.1.1. Editing in the CATI System 

The CATI software checks consistency across data elements and does not allow interviewers to enter 

invalid values. Catching potential errors early increases the efficiency of post-survey data cleaning and 

processing. 

To prevent an overly complicated CATI system, out-of-range and inconsistent responses produce a 

warning screen, allowing the interviewer to correct errors in real time. This allows the interviewer to 

reconcile errors while the respondent is on the telephone. CATI warning screens focus on items critical to 

the survey, such as those that determine a teen’s eligibility (e.g., date of birth). 

A CATI system cannot simultaneously incorporate every possible type of error check and maximize 

system performance. To reconcile this trade-off, post-CATI edits are used to resolve problems that do not 

require access to the respondent, as well as unanticipated logic problems that appear in the data.

4.1.2. Post-CATI Edits

The post-CATI editing process produces final, cleaned data files for each quarter. The steps in this 

process, implemented after all data collection activities for a quarter are completed, are described below.

Initial Post-CATI Edits and File Creation

After completion of interviewing each quarter, the raw data are extracted from the CATI data system and 

used to create two files: the sample file and the interview data file. The sample file contains one record for 

each sampled telephone number and summary information for telephone numbers and households. The 

interview data file contains one record for each eligible sampled teen and all data the household reported 

for the teen. 

Following creation of these two files, a preliminary analysis of each file identifies out-of-range values and 

extraneous codes. The first check verifies the eligibility status of teens, based on date of birth and date of 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 20 

interview. Once the required corrections are verified, invalid values are replaced with either an 

appropriate data value or a missing value code. 

Frequency Review

After the pre-programmed edits are run, frequency distributions of all variables in each file are produced 

and reviewed. Each variable’s range of values is examined for any invalid values or unusual distributions. 

If blank values exist for a variable, they are checked to see whether they are allowable and whether they 

occur in excessive numbers. Any problems are investigated and corrected as appropriate. 

File Crosschecks

Crosscheck programs ensure that cases exist across files in a consistent manner. Specifically, checks 

ensure that each case in the interview data file is also present in the sample file and that each case in the 

sample file was released to the telephone centers. Checks also ensure that no duplicate households exist in 

the sample file and no duplicate teens exist in the interview data file. 

When all checks have been performed, the final quarterly interview data file is created. Programmers and 

statisticians then create composite variables constructed from basic variables for each teen. Sampling 

weights (described in Section 6 of this Guide) are added to each record.

4.1.3. Editing of Provider Data 

Six to eight weeks after the close of household data collection for a quarter, the majority of the

immunization history questionnaires have been collected from providers. The data from the hard-copy 

questionnaires are entered and independently re-entered to provide 100% verification. The provider data 

file is cleaned, in a similar fashion to the household data file, for out-of-range values and consistency. A 

computer program back-codes all “other shot” verbatim responses into the proper vaccine category (e.g., 

Recombivax counts as Hep B). These translations come from a file that contains all such verbatim 

responses ever encountered in the NIS-Teen. Also, the provider data file is checked for duplicate records, 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 21 

and exact duplicates are removed. If the provider data contain a date of birth, sex, or name for the teen

that differs from the household interview for that teen, the questionnaire is re-examined to determine

whether it may have been filled out for the incorrect teen. Provider data that appear to have been filled out 

for the wrong teen are removed from the provider database. When a teen has data from multiple 

providers, decision rules are applied to produce the most complete picture of the teen’s vaccination 

history. 

Once these data have been cleaned, they are combined with the household data file. Information from up 

to eight providers can be added to a teen’s record. If more than one provider reported vaccination data for 

the teen, the data from the multiple provider reports are combined into a single history for the teen, called 

the “synthesized provider-reported vaccination history.” The determination of whether the teen is up-todate for recommended vaccines and vaccine series is based on the teen’s synthesized provider-reported 

vaccination history. 

Many variables in the household data file are checked against or verified with the provider data file. For 

example, a teen’s date of birth as recorded by the provider is checked against the date of birth as given by 

the household, to verify that the provider was reporting for that specific teen and to form a “best” date of 

birth for the teen. 

4.2. Limitations of Data Editing Procedures

Although data editing procedures were used for the NIS-Teen, the data user should be aware that some 

inconsistent data might remain in the public-use data file. The variables that indicate whether a teen is upto-date on each vaccine or series (on which the estimates of vaccination coverage are based) are derived 

from provider-reported data, and the NIS-Teen does not re-contact households or providers to attempt to 

reconcile potential discrepancies in provider-reported vaccination dates or to resolve date-of-birth 

reporting errors. However, the provider-reported data are manually reviewed and edited to correct specific 

reporting errors. Some adolescents considered to have adequate provider data may have incomplete 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 22 

vaccination histories. These incomplete histories arise from three primary sources: 1) the household does 

not identify all vaccination providers, 2) some but not all providers respond with vaccination data, and 3) 

providers respond with vaccination data but fail to list all the vaccinations in the teen’s medical record.

Even with these limitations, the NIS-Teen overall is a rich source of data for assessment of up-to-date 

status and age-appropriate vaccination. Also, NIS-Teen is the only source to provide comparable 

provider-reported vaccination data across states and local areas in the United States. 

4.3. Variable-Naming Conventions

The names of variables follow a systematic pattern as much as possible. The codebook for the public-use 

data file groups the variables into ten broad categories according to the source of the data (household or 

provider) and the content of the variable (NCIRD, 2023). See Section 7 of this report for detailed 

information on the contents of the public-use data file.

4.4. Missing Value Codes

Missing value codes for each variable can be found in the codebook (NCIRD, 2023). For household 

variables, the missing value codes usually are 77 for DON’T KNOW and 99 for REFUSED. Some 

household variables may also contain blanks, if the question was not asked. The variables developed from 

the immunization history questionnaire generally do not have specific missing value codes.

4.5. Imputation for Item Non-Response

The NIS-Teen uses imputation primarily to replace missing values in the socioeconomic and demographic 

variables used in weighting. Missing values of these variables are imputed for all teens with a completed 

household interview – i.e., all teens appearing on the public-use data file. Missing values of health 

insurance variables are also imputed for teens with adequate provider data. A sequential hot-deck method 

is used to assign imputed values (Ford 1983). Class variables are used to separate respondents into cells. 

Donors and recipients must agree on the categories of the class variables, which include the estimation

area. Within the categories of the class variables, respondents are sorted by variables related to the 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 23 

variable to be imputed. The last case with an observed value is used as the donor for up to four recipients. 

The variable labels in the codebook (NCIRD, 2023) identify variables that contain imputed values. These 

variables include the sex, Hispanic origin, race, and health insurance status of the teen; the education 

level, age group, marital status, and mobility status of the mother; and the income-to-poverty ratio of the 

household. Codebooks from 2015 to present are available at: https://www.cdc.gov/vaccines/imzmanagers/nis/datasets-teen.html. 

4.6. Vaccine-Specific Recoding of Verbatim Responses

On the IHQ, providers can list vaccinations in the “other” section of the IHQ shot grid. After data 

collection, these vaccinations are reclassified into the listed categories, if possible, using a vaccination 

recoding table. This table is reviewed by NCIRD personnel to ensure the vaccinations are recoded into the 

appropriate category or categories (for combination vaccinations).

 4.7. Subsets of the NIS-Teen Data

The NIS-Teen public-use data file contains data for all adolescents aged 13–17 years who have a 

completed household interview. An interview is considered complete if the respondent completed Section 

C of the questionnaire. As explained in Section 6 of this guide, each teen with a completed household 

interview is assigned a weight (RDDWT_C for the United States, excluding territories;

RDDWT_C_TERR for the United States, including territories) for use in estimation. 

The NIS-Teen uses the synthesized provider-reported vaccination histories to form the estimates of 

vaccination coverage because the provider data are considered more accurate than household-reported 

data. Thus, the most important sub-set of the data consists of teens with adequate provider data. For these 

teens, one or more providers returned the immunization history questionnaire that included vaccination 

data. Unvaccinated teens are also considered to have adequate provider data. As discussed in Section 7

below, the PDAT2 variable identifies the teens with adequate provider data (PDAT2=1). These teens

have a separate weight (PROVWT_C for the United States, excluding territories; PROVWT_C_TERR 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 24 

for the United States, including territories), which should be used to form estimates of vaccination 

coverage (see Section 6).

4.8. Confidentiality and Disclosure Avoidance

To prevent identification of participants in the NIS-Teen and the resulting disclosure of information, 

certain items from the questionnaires are not included in the public-use data file. In addition, some of the 

released variables either are top- or bottom-coded, or have their categories collapsed. Variable labels 

indicate which variables have been collapsed or recoded. These decisions are reviewed by the NCHS 

Disclosure Review Board to ensure the public-use data files meet acceptable levels of disclosure risk. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 25 

5. Quality Control and Quality Assurance Procedures

A major contributor to NIS-Teen data quality is its sample management system, which in 2022 managed 

over 220 estimation area by quarter samples and used a number of performance measures to track their 

progress toward completion. Important aspects of the quality assurance program for the RDD component 

of the NIS-Teen included on-line interviewer monitoring; on-line provider look-ups in a database system

integrated with the CATI system, including names, addresses, and telephone numbers of vaccination 

providers; and automated range-edits and consistency checks. These and other quality assurance 

procedures contributed to a reduction in total data collection cost by minimizing interviewer labor and 

overall burden to respondents. Khare et al. (2000), Khare et al. (2001), and the National Immunization 

Survey: Guide to Quality Control Procedures (CDC 2002) address quality assurance procedures. 

The Provider Record Check component used quality control measures at four junctions: prior to mailing 

packets to providers; during the telephone prompting effort; during the editing of returned questionnaires; 

and during and after their data entry. The final quality assurance activities were implemented during postprocessing of the returned questionnaires or vaccination records. All returned questionnaires were

examined to identify and correct any obvious errors prior to data entry and then key-entered with 100% 

verification. The keying error rate is estimated, by way of a second verification process, to be less than 

1%. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 26 

6. Sampling Weights

The two phases (RDD-phase and provider-phase) of data collection result in a separate sampling weight 

for each teen that has data at that phase. The RDD-phase sampling weights permit analyses of data from 

teens with completed household interviews. Each teen with adequate provider data (the subset of teens 

with completed household interviews on which official estimates of vaccination coverage are based) has a 

provider-phase sampling weight. In 2022, the RDD-phase sampling weight variable for producing 

estimates for teens with completed household interviews in the United States excluding territories is 

called RDDWT_C, and the RDD-phase weight variable for producing estimates for the United States 

including territories is called RDDWT_C_TERR. The provider-phase sampling weight variable for 

producing estimates for teens with adequate provider data in the United States excluding territories is 

called PROVWT_C, and the provider-phase weight variable for producing estimates for the United 

States including territories is called PROVWT_C_TERR. See Section 8 of this user’s guide for more 

information about the weights included in the data file and the proper way to use them. 

A sampling weight may be interpreted as the approximate number of teens in the target population that a 

teen in the sample represents. Thus, for example, the sum of the sampling weights of teens that are up-todate (on a particular vaccine or series of vaccines) yields an estimate of the total number of teens in the 

target population who are up-to-date. Dividing this sum by the total of the sampling weights for all teens

gives an estimate of the corresponding vaccination coverage rate. 

This section describes how these weights are developed and adjusted so as to achieve an accurate 

representation of the target population. The base weights reflect each telephone number’s probability of 

being selected into the sample; the adjustments take into account non-resolution of residential/nonresidential/non-working status of a telephone number, non-response to the screener, subsampling of one 

eligible teen in the household, non-response to the household interview, number of telephone lines in the 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 27 

household, raking for differential coverage rates, non-response by providers, and a final raking 

adjustment. 

6.1. Base Sampling Weight

In each quarterly NIS-Teen sample, each teen with a completed household interview receives a base 

sampling weight. The base sampling weight is equal to the inverse of the probability the phone number 

was sampled from the sampling frame for the quarter and estimation area.

6.2. Adjustments for Non-Resolution of Telephone Numbers and 

Screener Non-Response 

Non-response occurs in population-based surveys when respondents cannot be reached during the survey 

period, are not available at the time of the interview, or refuse to participate. Thus, the sum of the base 

sampling weights of teens with completed household interviews will underestimate the size of the target 

population in the estimation area, because not all sampled households respond to all stages of data 

collection up to the household interview. As a result, the base sampling weights must be adjusted so they 

can accurately reflect the number of teens in the target population that each sampled teen with a 

completed household interview represents. 

Some sampled households with age-eligible teens fail to complete the household interview because of 

unit non-response: for some telephone numbers, it is never determined whether or not the number is a 

working residential number despite multiple call attempts; for some households it is never determined 

whether or not the household contains age-eligible teens; and some households with age-eligible teens do 

not complete the household interview. To compensate for these types of unit non-response, the sampling 

weights of teens with a completed household interview are adjusted to account for the estimated number 

of age-eligible teens in households whose telephone numbers are never resolved; the estimated number of 

age-eligible teens in households that fail to complete the screening interview; and the estimated number 

of age-eligible teens in households that fail to complete the household interview because of unit non-
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 28 

response. Each of these adjustments is carried out within each estimation area by forming weighting cells 

based on the Metropolitan Statistical Area (MSA) status of the wire center associated with the cellular 

phone number (MSA/non-MSA). Each of the non-response adjustments for territories was done at the 

estimation area level. That is, no weighting cells were formed for territories. Each cell in each stage of 

adjustment is ensured to have sufficient resolved/responding cases (usually 20) at that stage of 

adjustment. The cells with a deficient number of responding cases are collapsed into neighboring cells, 

i.e., both MSA categories are collapsed if either of the cells have a deficient number of responding cases. 

Once the adjustment cells are formed, the weights of the unresolved/non-responding records from the 

previous adjustment step are distributed to the weights of the resolved/responding records within each 

cell.

6.3. Adjustment for Subsampling of One Teen per Household

In households with more than one teen, only one teen is selected randomly per household for the NISTeen interview. The non-response adjusted age screener weight is adjusted to account for the teens that 

are not selected. Each household’s age screener weight is adjusted by multiplying it by the total number 

of eligible teens reported in the household (up to a maximum of 3). 

6.4. Adjustment for Interview Non-Response 

Some households that are determined to be eligible fail to complete the household interview for the 

selected teen. To compensate for this third type of unit non-response, the sampling weights of teens with a 

completed household interview are adjusted to account for teens who live in households that failed to 

complete the household interview. Similar to the first two types of unit non-response, the adjustment is 

carried out within estimation areas by forming weighting cells based on MSA status. For territories, the 

interview non-response adjustment was done at the estimation area level, i.e., no weighting cells were 

formed for the territory interview non-response adjustment. Each weighting cell for the interview nonresponse adjustment must have sufficient responding cases (usually 15); cells with a deficient number of 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 29 

responding cases are collapsed with neighboring cells, i.e., both MSA categories are collapsed if either of 

the cells have a deficient number of responding cases. Once the adjustment cells are formed, the weights 

of the non-responding records from the previous adjustment step are distributed to the weights of the 

responding records within each cell. 

6.5. Adjustment for Multiple Cellular Phones and Deriving Annual 

Weights

Once the non-response-adjusted interview weights for teens are computed, these weights are adjusted for 

additional cellular phones in the household. Because households with multiple cellular phones have a 

greater chance of being sampled, each teen’s household interview weight is adjusted by dividing it by the 

total number of cellular phones used by parents or guardians (up to a maximum of 3). 

Up to the previous step, the sampling weights are adjusted separately for each quarter, and the weights in 

each quarter pertain to the target population. However, annual vaccination coverage estimates are 

obtained from data for four consecutive quarters, so the weights in each quarterly file are adjusted when 

the data from the four quarters are combined. The adjustment factor is proportional to the number of 

households with completed household interviews in each quarter and estimation area. 

6.6. Post-Stratification 

Survey weights must be adjusted to provide weights for the full target population of teens aged 13—17 

years. Weights are first adjusted to population control totals by telephone status. Teens in dual landline 

and cellular phone households are adjusted to the population estimate of teens living in dual user 

households within each estimation area, and teens in cellular phone-only households within each 

estimation area are weighted to represent teens in cellular phone-only households. Teens in landline-only 

and phoneless households, which are excluded from the sample, are accounted for in the raking step 

described below. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 30 

The control totals used for the 2022 NIS-Teen are derived from a combination of 2021 census population 

estimates and the combined 2019, 2020, and 2021 one-year American Community Survey (ACS) data for 

the United States and Puerto Rico, with adjustments for mortality, foreign immigration, and migration 

between states to produce population totals as of July 1, 2022. For Guam, the control totals are derived 

from the 2010 Census data. The proportion of teens by detailed telephone status (landline-only, landline 

and cellular phone dual-user, cellular phone-only, phoneless) within each estimation area in the United 

States were derived using a similar small area modeling approach as described in Blumberg et al. (2011). 

These modeled telephone status estimates are applied to the control total for the total number of teens age 

13—17 years in the estimation area to estimate the number of teens age 13—17 years by telephone status 

within the estimation area.

To reduce sampling variability and improve the precision of estimation, extreme weights are trimmed 

within an estimation area. RDD sampling weight values exceeding the median weight plus three times the 

interquartile range of the weights within an estimation area are truncated to that threshold. This weight 

trimming prevents teens with unusually large weights from having an unusually large impact on 

vaccination coverage estimates.

The final step in adjusting the RDD sampling weights is a raking adjustment (Deming 1943) of the 

trimmed, telephone status adjusted weights. The raking procedure uses estimation area-level control totals 

for maternal education categories, teen’s race/ethnicity, age group of the teen, sex of the teen, and 

telephone status. Raking makes it possible to incorporate additional variables into the weighting and to 

use more detailed categories for those variables. Briefly, raking takes each variable in turn and applies a 

proportional adjustment to the current weights of the teens who belong to the same category of the 

variable. After a number of iterations over all the variables, the raked weights have totals that match all 

the desired control totals. At this point, as before, the weights that exceed the median weight plus three 

times the interquartile range of the weights within an estimation area are truncated to that threshold. The 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 31 

raking step is applied again after the truncation of the weights and the weights are rechecked for extreme 

weights and truncated as before. The process is iterated up to five times. 

The sampling weights after all the foregoing adjustments constitute the “RDD sampling weights” 

(RDDWT_C for the United States excluding territories; RDDWT_C_TERR for the United States 

including territories). 

6.7. Adjustment for Provider Non-Response

Among the 41,325 teens with a completed household interview (excluding territories), 16,043 

(38.8%) had adequate provider data. To maintain consistency with the adequate provider data 

definition used in previous years prior to the introduction of COVID-19 vaccines, adolescents were not 

considered as having adequate provider data if the only vaccinations reported were COVID-19 

vaccinations. The definition of teens with adequate provider data includes unvaccinated teens. These are 

teens for whom the respondent reported during the household interview that the teen had received no 

vaccinations and has no providers, or for whom one or more providers were reported but those providers 

reported administering no vaccinations. Among the 16,043 teens with adequate provider data, 126 

were unvaccinated teens. Failure to obtain adequate provider data for the remaining 25,282 teens 

(61.2%) was attributable to: 

• parent or guardian not giving consent to contact the teen’s vaccination provider(s) (50.6%);

• consent to contact vaccination providers obtained but no providers returned the immunization 

history questionnaire (5.3%); and

• one or more providers returned the immunization history questionnaire, but no providers reported 

any non-COVID-19 vaccination data, despite the parent or guardian indicating that the teen has 

received vaccinations (4.0%).
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 32 

The 25,282 teens for whom a household interview was completed but adequate provider data were not 

obtained are classified as “partial non-responders” because they have only a partial response to the NISTeen as a whole.

Empirical results for the NIS-Child suggest that children with adequate provider data have characteristics 

believed to be associated with a greater likelihood of being up-to-date, compared with children who had 

missing provider data. Specifically, children with adequate provider data are more likely to live in 

households that have higher total family income, have a white mother, and live outside a principal city of 

an MSA. Also, a child with missing provider data is less likely to live in the state where the mother lived 

when the child was born. These factors indicate a potential lack of continuity of health care, and are 

associated with lower vaccination rates (Coronado et al. 2000). An adjustment is made to the RDD 

sampling weights of the NIS-Child to account for these differences; otherwise, estimated vaccination 

coverage rates may be biased. A similar adjustment is also made to the RDD sampling weights of the 

NIS-Teen.

To reduce potential bias in estimators of vaccination coverage attributable to partial non-response, a 

weighting-class adjustment is used in each estimation area (Brick and Kalton, 1996). This adjustment 

involves three steps. In the first step, sampled teens are classified according to the quintile of their 

estimated probabilities of having adequate provider data. In the statistical literature these probabilities are 

called response propensities (Rosenbaum and Rubin 1983, 1984; Rosenbaum 1987). Teens that have 

similar response propensities will also be similar with respect to variables that are strongly associated 

with the probability of having adequate provider data. In this important respect, teens in each class are 

comparable. Because of this comparability, any sub-sample of teens in a class may represent all teens in 

the class. Therefore, the weighting-class adjustment uses the teens with adequate provider data to 

represent all teens in the class. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 33 

In the second step of this weighting-class adjustment, within each class an adjustment factor redistributes 

the RDD sample weights of the teens with missing provider data to the weights of the teens that have 

adequate provider data. These adjusted sampling weights of teens with adequate provider data are initial 

non-response-adjusted provider-phase weights.

Within an estimation area, the sums of non-response adjusted weights of teens with adequate provider 

data for the various levels of important socio-demographic variables (such as race/ethnicity) may not be 

equal to corresponding population totals. To reduce bias attributable to these differences, raking was used 

in the third step to adjust the non-response adjusted weights to match estimation area control totals. 

Control totals for these variables were estimated using the weighted totals from the sample of teens with 

completed household interviews. Smith et al. (2001b, 2005) describe the development of this approach in 

more detail. These raked weights of teens with adequate provider data are called “final provider-phase 

weights” (PROVWT_C for the United States excluding territories and PROVWT_C_TERR for the 

United States including territories). Because of the comparability of teens within each weighting class, 

any estimate that uses data only from the teens with adequate provider data, along with their providerphase sampling weights, will have less bias attributable to differences between teens with adequate 

provider data and teens with missing provider data. 

Appendix B summarizes the distribution of the sampling weights in each estimation area.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 34 

7. Contents of the Public-Use Data File

The NIS-Teen public-use data file contains a record for each eligible teen for whom Section C of the 

household interview was completed, along with household-reported vaccination information and 

demographic information about the teen and the teen’s mother. For teens with immunization history 

questionnaires containing vaccination data returned by one or more providers, the file also contains 

provider characteristic variables, as well as variables based on the teen’s synthesized provider-reported 

vaccination history: the age of the teen at each vaccination, the number of each type of vaccination 

received, and indicators of whether the teen is up-to-date with respect to various recommended vaccines 

and vaccine series.

The public-use data file consists of ten sections, the contents of which are described below in detail. For 

additional information, users are encouraged to consult the codebook (NCIRD, 2023). The codebook is 

divided into the ten sections described below and contains variable names, labels, and response 

frequencies (for categorical variables). The codebook also indicates the questionnaire item or items that

serve as the ultimate source for each variable and, for selected variables, gives additional information 

about the variable in the “Notes” field. Codebooks and Household Interview Questionnaires from 2015 to 

present are located at: https://www.cdc.gov/vaccines/imz-managers/nis/datasets-teen.html. 

Before describing the sections of the public-use data file below, we first summarize the differences 

between the 2021 and 2022 NIS-Teen public-use data files:

• A new 2022 estimation area variable (ESTIAPT22) has been added and the 2021 estimation 

area variable (ESTIAPT21) has been dropped (see Table 5). Although data were collected 

for Guam in 2022, teens in this area are not included on the public-use data file in order to 

protect confidentiality. 

• The following new up-to-date indicators have been added to the file:

o P_UTDCOV1: Up-to-date indicator for 1+ COVID-19 vaccination. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 35 

o P_UTDCOV_FULL: Up-to-date indicator for fully vaccinated with 2+ COVID-19 

doses or 1+ Johnson & Johnson/Janssen COVID-19 doses.

o P_UTDCOV_BOOST: Up-to-date indicator for fully vaccinated and boosted with 

2+ COVID-19 doses or 1+ Johnson & Johnson/Janssen COVID-19 doses, followed 

by 1+ dose of any type. 

o P_UTDMENB_S: Up-to-date indicator for 2+ MenB shots with age and interval 

restrictions and strict treatment of meningococcal shots of unknown type.

o P_UTDMENB_L: Up-to-date indicator for 2+ MenB shots with age and interval 

restrictions and lenient treatment of meningococcal shots of unknown type.

o P_U131132: Up-to-date indicator for 1+ Tdap since age 10, 1+ MenACWY, and upto-date for HPV (2+ or 3+ doses depending on schedule, with age and interval 

restrictions), all before age 13 years.

7.1. Section 1: ID, Weight, and Flag Variables

SEQNUMT is the unique teen identifier. (Because only one teen is selected per household, SEQNUMT

is also a unique household identifier.) PDAT2 indicates which teens are considered to have adequate 

provider data. As described in Section 6 of this report, RDDWT_C/RDDWT_C_TERR and 

PROVWT_C/PROVWT_C_TERR are the final household- and provider-phase weights, respectively. 

PROVWT_C/PROVWT_C_TERR should be used when analyzing the provider-reported data, i.e., the 

variables in Sections 7, 8, and 9 of the public-use data file.

7.2. Section 2: Household-Reported Vaccination and Health Information

As of 2017, all respondents are administered Section B of the household questionnaire, where they are 

asked whether they recall the teen getting flu, Td/Tdap, meningococcal, and HPV vaccinations, and for 

the number of meningococcal and HPV vaccinations. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 36 

Respondents are then administered Section C of the household interview, wherein information about the 

health of the selected teen and the teen's family, as well as demographic information about the teen and 

the teen’s mother, is collected.

Section 2 of the public-use data file contains vaccination information collected in Section B, and the 

health information collected in Section C of the household questionnaire. IMM_ANY indicates whether 

the respondent reported that the teen has had a vaccination of any type. For each type of vaccine asked 

about in Section B (excluding seasonal influenza), a set of variables stores the information collected about 

that vaccine type; additional variables store the responses to the health questions in Section C. 

The household-reported vaccination and health variables are described in more detail below. Household 

Interview Questionnaires from 2015 to present are located at: https://www.cdc.gov/vaccines/imzmanagers/nis/datasets-teen.html. 

7.2.1. Household-Reported Tetanus Vaccine Variables 

Section B respondents that said the teen has received a vaccination of any type (IMM_ANY=1) are asked 

whether they recall the teen getting any Tetanus booster vaccinations. Variable TET_ANY indicates 

whether any Tetanus booster vaccinations were reported for the teen. All respondents reporting that the 

teen has not received any Tetanus booster vaccinations are then asked the reason the teen didn't receive 

Tetanus booster vaccinations. Variables TET_REAS_1-TET_REAS_5, TET_REAS_7, and 

TET_REAS_10-TET_REAS_27 store the answers to this choose-all-that-apply question and reflect the 

coding of open-ended responses into the reason categories existing on the questionnaire as well as into 

newly-created reason categories. 

7.2.2. Household-Reported Meningococcal Vaccine Variables 

Section B respondents who said the teen has received a vaccination of any type (IMM_ANY=1) are asked 

whether they recall the teen getting any meningococcal vaccinations, and if so, they are asked for the 

number of meningococcal vaccinations they recall. Variable MEN_ANY indicates whether any 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 37 

meningococcal vaccinations were reported for the teen. Variable MEN_NUM_TOT stores the total 

number of meningococcal vaccinations reported by the respondent. All respondents reporting that the teen 

has not received any meningococcal vaccinations, are then asked the reason the teen didn't receive 

meningococcal vaccinations. Variables MEN_REAS_1-MEN_REAS_7 and MEN_REAS_10-

MEN_REAS_26 store the answers to this choose-all-that-apply question and reflect the coding of openended responses into the reason categories existing on the questionnaire as well as into newly-created 

reason categories. 

7.2.3. Household-Reported Human Papillomavirus (HPV) Vaccine Variables 

Section B respondents that said the teen has received a vaccination of any type (IMM_ANY=1) are asked 

whether they recall the teen getting any HPV vaccinations, and if so, they are asked for the number of 

HPV vaccinations they recall. Variable HPVI_ANY indicates whether any HPV vaccinations were 

reported for the teen. Variable HPVI_NUM_TOT stores the total number of HPV vaccinations reported 

by the respondent.

All respondents reporting that the teen has received a vaccination of any type (IMM_ANY=1), regardless 

of whether they reported the teen has received an HPV vaccination, are asked whether a doctor or other 

health care professional has ever recommended that the teen receive HPV vaccinations 

(HPVI_RECOM), and if so, the respondent is asked at what age the doctor recommended the teen should 

start receiving HPV shots (variable not included on the public-use file). 

All respondents reporting that the teen received fewer than the recommended number of HPV 

vaccinations (two if the teen is under 15 years of age, three if the teen is 15 years or older) are asked how 

likely it is that the teen will receive HPV vaccinations in the next twelve months (HPVI_INTENTR).

Those responding "Not too likely", "Not likely at all", or “Not Sure/Don’t Know” are asked the reason the 

teen won't receive HPV vaccinations in the next twelve months. Variables HPVI_REAS_1-

HPVI_REAS_3, HPVI_REAS_5-HPVI_REAS_6, and HPVI_REAS_9-HPVI_REAS_32 store the 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 38 

answers to this choose-all-that-apply question and reflect the coding of open-ended responses into the 

reason categories existing on the questionnaire as well as into newly-created reason categories.

7.2.4. Household-Reported Health Variables 

All respondents are asked whether the selected teen has ever had the chicken pox (CPOX_HAD) and, if 

so, they are asked the age of the teen in years at the time when the teen had the chicken pox 

(CPOX_AGE). Those unable to give an exact age are asked to report an age range (CPOX_AGER).

All respondents are then asked the age of the teen at the time of his or her last check-up (CKUP_AGE).

If the teen's age at the last check-up was 13 years or more, the respondent is asked whether the teen had 

an 11-12 year old well-child exam (CKUP_11_12); if the respondent is unable or unwilling to answer 

this question he or she is asked whether or not the teen's last check-up was more than, exactly, or less than 

[age of teen - 12] years ago (CKUP_LAST).

All respondents are asked the number of times the teen has seen a health care professional in the last 12 

months (VISITS); whether the teen has been told by a health professional that he or she has asthma 

(ASTHMA); whether the teen has ever been told by a health professional that he or she has a lung 

condition other than asthma, a heart condition, diabetes, a kidney condition, sickle cell anemia or other 

anemia, or a weakened immune system caused by a chronic illness or by medicines taken for a chronic 

illness (RISK_EVER); whether the teen currently has any of these conditions (RISK_NOW); and 

whether any other members of the teen's household currently have any of these conditions (RISK_HH).

Finally, the respondent is asked the number of times in the past 12 months the teen has missed school due 

to illness or injury (NOSCHOOLR).

7.3. Section 3: Demographic, Socio-Economic, and Other 

Household/Teen Information

Section 3 of the NIS-Teen public-use data file consists of information collected during the household 

screening interview and the demographic information collected in Section C of the household main 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 39 

interview. To protect confidentiality, many of these variables have been collapsed, top-coded, or bottomcoded from the original, fully-detailed versions; the variable labels (see the public-use date file codebook) 

indicate which variables have been collapsed or recoded. Codebooks and Household Interview 

Questionnaires from 2015 to present are located at: https://www.cdc.gov/vaccines/imzmanagers/nis/datasets-teen.html. 

AGE is the age of the selected teen in years based on the teen's best date of birth and the screener 

completion date, and SEX gives the sex of the selected teen, with missing values imputed. The language 

in which the interview was conducted is stored in variable LANGUAGE, and C5R gives the relationship 

of the respondent to the selected teen. 

C1R and CHILDNM give the number of people and children, respectively, in the household. 

The teen's Hispanic origin indicator, race with three categories, and race/ethnicity with four categories are 

presented in variables I_HISP_K, RACE_K, and RACEETHK, respectively; for each of these 

variables, missing values have been imputed. EDUC_TR gives the teen's grade in school at the time of 

the interview.

The age, education level, and marital status of the mother of the selected teen are stored in variables 

AGEGRP_M_I, EDUC1, and MARITAL2 (married vs. not married), with missing values imputed.

The categorized total combined income for the teen's family is given by INCQ298A; INCPOV1 gives 

the family's poverty status (at or above poverty, income > $75,000; at or above poverty, income <= 

$75,000; below poverty; unknown), and INCPORAR gives the ratio of the family's income to the 

poverty level. INCPORAR_I gives the same ratio after missing values of family income have been 

imputed. Household tenure is given by RENT_OWN.

The number of landline telephone numbers in the household, the number of working cellular phones 

household members have available for personal use, and the number of these cellular phones that are 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 40 

usually used by parents or guardians are given by NUM_PHONE, NUM_CELLS_HH, and 

NUM_CELLS_PARENTS, respectively.

Variable CEN_REG gives the census region of the respondent's current residence, and MOBIL_Iindicates 

whether the mother's current state of residence is the same as her state of residence at the time of the teen's 

birth. 

7.4. Section 4: Geographic Variables

Variables ESTIAPT22 and STATE give the 2022 estimation area and state of residence, respectively, for 

each teen. EST_GRANT indicates which of the 50 states, District of Columbia, and 5 local areas that 

receive federal Section 317 immunization grants (Bexar County, TX; City of Chicago, IL; City of 

Houston, TX; New York City, NY; Philadelphia County, PA) the teen resides in. 

7.5. Section 5: Number of Providers Identified and Consent Variables

Variable D7 indicates whether the respondent gave consent to contact the teen's providers. If D7=1, then 

consent was granted; if D7=2 then consent was explicitly denied; and if D7 is missing, consent was not 

granted because the respondent broke off the interview before being explicitly asked for consent. 

Variable D6R gives the number of providers identified by the respondent. Note that sometimes 

respondents report erroneous provider counts and sometimes report the same provider more than one 

time, and D6R does not reflect the cleaning or de-duplication of the initially-reported provider count. 

Variable NUM_PROVR gives the number of providers identified for teens with consent to contact the 

providers and reflects the cleaning and de-duplication of the initially-reported provider count. For teens 

without consent, NUM_PROVR is set to 0.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 41 

7.6. Section 6: Number of Responding Providers Variables

Variable N_PRVR indicates the number of providers returning IHQs with vaccination information for the 

teen. That is, N_PRVR is the number of IHQs that were returned for the teen that contain information on 

the IHQ shot grid. 

7.7. Section 7: Characteristics of Providers Variables

This section summarizes the information collected in IHQ questions 4, 5b, 6, and 7 across the teen's 

providers who returned IHQs. 

WELLCHILD indicates whether the teen had an 11-12 year old well child exam or check-up based on 

responses to IHQ question 4. If any of the teen's providers that returned IHQs reported that the teen had a 

well child exam, then WELLCHILD=1. If all of the teen's providers that returned IHQs reported that the 

teen did not have a well child exam, then WELLCHILD=2. If none of the teen's providers that returned 

IHQs reported that the teen had a well child exam, but at least one provider left the question blank or 

selected “Don’t Know”, or if no IHQs were returned for the teen, then WELLCHILD=3 (unknown). 

FACILITY indicates the facility type of the teen's vaccination providers based on responses to IHQ 

question 5b. If all of the teen's providers who returned IHQs containing vaccination (i.e. shot grid) data 

(see Section 6 variable N_PRVR) reported their facility type to be: 

● a public health department-operated clinic, community health center, rural health clinic, migrant 

health center, Indian Health Service-operated center, tribal health facility, or urban Indian health 

care facility, then FACILITY=1 (all public facilities);

● a hospital-based clinic, then FACILITY=2 (all hospital facilities);

● a private practice, then FACILITY=3 (all private facilities); 

● a military health care facility, WIC clinic, school-based health center, pharmacy, or other type of 

facility, then FACILITY=4 (all military/WIC/school/pharmacy or other facilities). 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 42 

If the responses of providers that returned IHQs containing shot grid data fell into more than one of the 

above bulleted categories, FACILITY=5 (mixed); otherwise, if at least one of the teen's providers 

returned an IHQ containing shot grid data, FACILITY=6 (unknown). If none of the teen's providers 

returned an IHQ containing shot grid data, FACILITY is set to missing.

The Vaccines For Children (VFC) program is a federally-funded program that provides vaccines at no 

cost to children who might not otherwise be vaccinated because of inability to pay 

(http://www.cdc.gov/vaccines/programs/vfc/index.html). CDC buys vaccines at a discount and distributes 

them to awardees—i.e., state health departments and certain local and territorial public health agencies—

which in turn distribute them at no charge to those private physicians' offices and public health clinics 

registered as VFC providers. VFC_ORDER, based on responses to IHQ question 6, indicates whether the 

teen's vaccination providers order vaccines from a state or local health department to administer to 

children. If all of the teen's providers that returned IHQs containing shot grid data (see Section 6 variable 

N_PRVR) reported that they order vaccines from a state or local health department to administer to 

children, then VFC_ORDER=1 (all providers); if at least one of the teen's providers that returned an IHQ 

containing shot grid data reported that the practice orders vaccines from a state or local health department 

to administer to children and the teen's other providers that returned IHQs containing shot grid data 

reported either that they did not order such vaccines or that they did not know whether or not they did, 

then VFC_ORDER=2 (some but possibly or definitely not all providers); if all of the teen's providers that 

returned IHQs containing shot grid data reported that they do not order vaccines from a state or local 

health department to administer to children, then VFC_ORDER=3 (no providers); if none of the 

conditions for VFC_ORDER=1, 2, or 3 was met but at least one of the teen's providers returned an IHQ 

containing shot grid data, VFC_ORDER=4 (unknown). If none of the teen's providers returned an IHQ 

containing shot grid data, VFC_ORDER is set to missing. Note that having a provider that orders VFC 

vaccine does not imply that the child is VFC-entitled; providers enrolled in the VFC program could also 

vaccinate children who are not VFC-entitled. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 43 

REGISTRY is based on responses to IHQ question 7 and indicates whether the teen's vaccination 

providers reported the teen's vaccinations to a community or state immunization registry (also known as 

an Immunization Information System, or IIS). If all of the teen's providers that returned IHQs containing 

shot grid data (see Section 6 variable N_PRVR) indicated that they reported to a registry, then 

REGISTRY=1 (all providers); if at least one of the teen's providers that returned an IHQ containing shot 

grid data indicated that the practice reported to a registry and the teen's other providers that returned IHQs 

containing shot grid data indicated that they did not report to a registry, that they did not know whether or 

not they reported to a registry, or that the question is not applicable, then REGISTRY=2 (some but 

possibly or definitely not all providers); if all of the teen's providers that returned IHQs containing shot 

grid data indicated that they did not report to a registry or that the question is not applicable, then 

REGISTRY=3 (no providers); if none of the conditions for REGISTRY=1, 2, or 3 was met but at least 

one of the teen's providers returned an IHQ containing shot grid data, REGISTRY=4 (unknown). If none 

of the teen's providers returned an IHQ containing shot grid data, REGISTRY is set to missing.

7.8. Section 8: Provider-Reported Up-To-Date Vaccination Variables

This section contains vaccination count and up-to-date variables based on the teen's synthesized providerreported vaccination history. To facilitate data processing and to accommodate the large and continually 

growing number of vaccination types covered by the NIS-Teen, the provider-reported vaccination data are 

organized around the concept of vaccine categories and vaccine types within vaccine category. The 

vaccine categories correspond to the sections of the IHQ shot grid, and the vaccine types correspond to 

the type boxes on the IHQ shot grid. For each vaccine category, an "unknown" vaccine type is created for 

vaccinations that are reported without a type box being checked. Table 3 shows the vaccine categories 

and types for the 2022 NIS-Teen public-use data file. 

For each vaccine category (except for COVID-19, see below), Section 8 of the public-use data file 

contains a variable named P_NUMYYY – where "YYY" is the vaccine category abbreviation given in 

Table 3 – that stores the number of vaccinations in that vaccine category in the teen's synthesized 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 44 

provider-reported vaccination history. For each vaccine category and type combination, Section 8 also 

contains a variable named P_NUMYYY_TT – where "YYY" is the vaccine category abbreviation and 

"TT" is the vaccine type code given in Table 3 – that stores the number of vaccinations in that vaccine 

category of that vaccine type in the teen's synthesized provider-reported vaccination history.

For each P_NUMYYY and P_NUMYYY_TT variable described above, there are corresponding variables 

of the form P_N13YYY and P_N13YYY_TT that count only vaccinations that the teen received prior to 

age 13 years.

This section of the public-use data file also contains up-to-date indicators for a variety of recommended 

vaccines and vaccine series. These variables' names begin with "P_UTD"; the variable labels indicate 

what is needed to be considered up-to-date for each variable, and the "Notes" field in the codebook shows 

the vaccine type codes (see Table 3) being included when determining whether the teen is up-to-date. For 

each "P_UTD" variable there is a corresponding variable whose name begins with "P_U13" that indicates 

whether the teen was up-to-date for the particular vaccine or vaccine series by age 13 years.

Note that it is possible that the administration of the NIS-Teen interview itself prompts some respondents 

to vaccinate their teens following the interview; to ensure that the vaccination rate estimates aren't 

artificially boosted because of this, the "P_NUM", "P_N13", "P_UTD", and "P_U13" variables in this 

section of the public-use data file count only vaccinations received before the date the household 

interview was completed.

Provider-reported COVID-19 vaccination data have been collected in the NIS-Teen since 2021, but 

detailed information about the number, type(s), and age(s) of COVID-19 doses are not included on 

the NIS-Teen public-use data file to protect respondent confidentiality. However, beginning in 2022, 

the following three up-to-date indicators are included on the file: P_UTDCOV1 identifies teens who 

have received at least 1 dose of COVID-19 vaccination, P_UTDCOV_FULL identifies teens who are 

considered “fully vaccinated” with 2+ doses (or 1+ dose of Johnson & Johnson/Janssen), and 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 45 

P_UTDCOV_BOOST identifies teens who are “fully vaccinated” and have also received at least one 

booster dose. 

This section also contains some additional UTD variables specific to human papillomavirus (HPV) 

vaccines. P_UTDHPV11, P_UTDHPV12, and P_UTDHPV13 are conditional up-to-date indicators 

showing whether a teen has received exactly 1, exactly 2, or 3 or more HPV vaccinations, given that the 

teen has received at least one. Teens that have received no HPV vaccinations will have missing values for 

these variables. P_UTDHPV3C is the conditional HPV vaccination series completion indicator for the 3-

dose series. It indicates, among teens that have received at least one HPV vaccination, whether the teen 

completed the series of three doses. This variable is limited to teens with at least one HPV vaccination 

where the interview completion date follows the date of the first HPV vaccination by at least 6 months, as 

6 months is the minimum amount of time required to complete the 3-dose HPV vaccine series.

P_UTDHPV_15 indicates teens that either have received 3 or more HPV doses or have received 2 or 

more HPV doses with the 1st dose before age 15 years. P_UTDHPV_15INT indicates teens that either 

have received 3 or more HPV doses or have received 2 or more HPV doses with the 1st dose before age 

15 years and at least 5 months minus 4 days between the 1st and 2nd doses. P_UTDHPV3C_15INT is 

the conditional HPV vaccination series completion indicator for either the 3-dose or 2-dose series. This 

variable uses the same criteria as P_UTDHPV_15INT but is limited to teens with at least one HPV 

vaccination and 6 months between the first HPV dose date and the household interview date.

Finally, this section includes two UTD variables specific to Meningococcal Serogroup B (MenB), both of 

which identify teens who have received at least 2 doses of MenB at age 10 or later with the appropriate 

interval between doses dependent on brand (4 weeks apart for Bexeros, or 6 months apart for Trumenba). 

The two variables differ in the treatment of Meningococcal doses of unknown type: P_UTDMENB_S

uses a strict definition of UTD status which excludes all doses of unknown type, while P_UTDMENB_L

uses a lenient definition of UTD status in which doses of unknown type are assumed to be the type most 

likely to result in the teen meeting the UTD criteria.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 46 

Table 3: Vaccine Categories and Vaccine Types, National Immunization Survey - Teen, 2022 

Vaccine 

Category 

Abbreviation1

Vaccine Category Description

Vaccine 

Type 

Code

Vaccine Type Description

TDP Td/Tdap-containing, given after age 6 years 11 Td

TDP Td/Tdap-containing, given after age 6 years 14 Tdap

TDP Td/Tdap-containing, given after age 6 years 15 Td/Tdap-containing, unknown type

HEPB Hepatitis B-containing 61 0.5 ml Recombivax

HEPB Hepatitis B-containing 62 1.0 ml Recombivax

HEPB Hepatitis B-containing 63 Engerix

HEPB Hepatitis B-containing 64 Hepatitis B-only, unknown type

HEPB Hepatitis B-containing 43 HepB-Hib

HEPB Hepatitis B-containing HB Hepatitis B-containing, unknown type

FLU Seasonal influenza-containing FZ Fluzone

FLU Seasonal influenza-containing FV Fluvirin

FLU Seasonal influenza-containing FN Injected influenza, other/unknown type

FLU Seasonal influenza-containing FM Flumist

FLU Seasonal influenza-containing FL Influenza-containing, unknown type

MCV Measles-containing 30 MMR-only

MCV Measles-containing 31 Measles-only

MCV Measles-containing 32 Measles-Mumps (through backcoding)

MCV Measles-containing 33 Measles-Rubella (through backcoding)

MCV Measles-containing VM MMR-Varicella

MCV Measles-containing MM Measles-containing, unknown type

VAR Varicella-containing VO Varicella-only

VAR Varicella-containing VM MMR-Varicella

VAR Varicella-containing VA Varicella-containing, unknown type

HEPA Hepatitis A-containing HO HepA-only (Havrix or Vaqta)

HEPA Hepatitis A-containing HA HepA-containing, unknown type

MEN Meningococcal serogroup ACWY 80 MenACWY (Menactra or Menveo)

MEN Meningococcal serogroup ACWY 81 MPSV4 (Menomune)

MEN Meningococcal serogroup ACWY 82 Meningococcal serogroup ACWY, 

unknown type

MENB Meningococcal serogroup B BT MenB-FHbp

MENB Meningococcal serogroup B BB MenB-4C

MENB Meningococcal serogroup B BU Meningococcal serogroup B, unknown type

MENU Meningococcal, unknown serogroup - - 

HPV Human Papillomavirus CV Cervarix (2vHPV)

HPV Human Papillomavirus 4V Gardasil 4 (4vHPV)

HPV Human Papillomavirus 9V Gardasil 9 (9vHPV)

HPV Human Papillomavirus UV Gardasil, unknown valency

HPV Human Papillomavirus HP HPV, unknown type

COV COVID-19 CP Pfizer-BioNTech

COV COVID-19 CM Moderna
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 47 

Vaccine 

Category 

Abbreviation1

Vaccine Category Description

Vaccine 

Type 

Code

Vaccine Type Description

COV COVID-19 CJ Johnson & Johnson/Janssen

COV COVID-19 CN Novavax

COV COVID-19 CX COVID-19, unknown type

1 If another vaccine type is reported that is not on this list, it is either coded with the appropriate shot category with "unknown 

type" code (if it belongs in one of the existing NIS-Teen shot categories), or in an "Other" shot category (if it does not belong to 

an existing NIS-Teen shot category). Shots in the "Other" shot category are not included in the synthesized vaccination history 

variables, while shots coded to the shot category-specific "unknown type" codes are included except where variables are restricted 

to specific subtypes (as described in the variable labels/notes).

7.9. Section 9: Provider-Reported Age-At-Vaccination Variables

This section contains variables storing the teen's age in years, months, and days at each vaccination in the 

synthesized provider-reported vaccination history, along with the vaccine types of those vaccinations. 

For each vaccine category, variables YYY_AGE1 - YYY_AGE9 store the age in years of the teen when 

the vaccination was administered for up to nine vaccinations in the teen's synthesized provider-reported 

vaccination history, where "YYY" is the vaccine category abbreviation given in Table 3. Variables 

YYY_MAGE1 - YYY_MAGE9 store the age in months of the teen when each vaccination was 

administered. Variables YYY_DAGE1 - YYY_DAGE9 store the age in days of the teen when each 

vaccination was administered. For vaccine categories that contain multiple vaccine types, variables 

XYYYTY1 - XYYYTY9 give the corresponding vaccine type code (see Table 3).

Unlike the vaccination count and up-to-date variables in Section 8 of the public-use data file, the 

variables in Section 9 include vaccinations given both before and after the household interview was 

completed. If desired, users can limit the Section 9 variables to only those before the household interview 

date by examining the corresponding Section 8 “P_NUM” variable and limiting the analysis of the 

Section 9 variables to only the first n variables, where n is equal to the number of vaccinations in the 

vaccine category before the household interview date as indicated by the corresponding “P_NUM” 

variable. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 48 

Users of the NIS-Teen public-use data file should be aware that the age-at-vaccination variables included 

in Section 9 may contain a small number of vaccination ages that are implausible according to the 

recommended immunization schedules (http://www.cdc.gov/vaccines/schedules/hcp/childadolescent.html). Such ages may arise if a medical provider inadvertently records an erroneous 

vaccination date or if a vaccination date is incorrectly transcribed onto an IHQ. The quality control 

procedures of the NIS-Teen address implausible ages to every extent possible. Suspicious dates are 

manually reviewed and corrected if there is evidence either from the household interview or from another 

provider that the date is incorrect. In rare cases, however, when there is no further information with which 

to correct the reported vaccination date, the vaccination is treated as having actually occurred and the 

implausible age at vaccination persists on the data file. The data user should consider these issues in 

deciding how to analyze the NIS-Teen data.

7.10. Section 10: Health Insurance Module Variables

The Health Insurance Module (HIM) (Section E) gathers information on the health insurance coverage of 

the selected teen. Prior to 2016, seven variables containing HIM data were included in the NIS-Teen 

public-use data file: 

• TIS_INS_1: “Is the teen covered by health insurance provided through employer or union?”; 

• TIS_INS_2: “Is the teen covered by any MEDICAID plan?”;

• TIS_INS_3: “Is the teen covered by CHIP?”;

• TIS_INS_3A: “Is the teen covered by any MEDICAID plan or CHIP?”; 

• TIS_INS_4_5: “Is the teen covered by Indian Health Service, Military Health Care, TRICARE, 

CHAMPUS, or CHAMP-VA?”; 

• TIS_INS_6: “Is the teen covered by any other health insurance or health care plan?”; and

• TIS_INS_11: “Since age 11, was there any time when the teen was not covered by health 

insurance?”
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 49 

In 2016, these variables were replaced by two health insurance variables, INS_STAT_I and 

INS_BREAK_I, which summarize the teen’s health insurance status and history across all of the 

insurance questions listed above, while also incorporating the imputation of missing values and coding of 

open-ended responses. In 2017, INS_STAT_I was replaced with INS_STAT2_I, which provides a 

different categorization of teens with both private and non-private, non-Medicaid insurance. 

INS_STAT2_I identifies the teen’s current health insurance coverage status. If the teen has a form of 

private health insurance and is not covered by any other type of health insurance, he/she is classified as 

(1) Private only. If the teen is on any form of Medicaid, alone or in addition to other forms of insurance, 

he/she is classified as (2) Any Medicaid. If the teen is not covered by Medicaid but is covered by some 

other type of health insurance (including, but not limited to, CHIP, Indian Health Service, Military Health 

Care, TRICARE, CHAMPUS, or CHAMP-VA), either alone or in combination with private insurance, 

he/she is classified as (3) Other. If the teen is not covered by any kind of health insurance, he/she is 

classified as (4) Uninsured. 

INS_BREAK_I describes the teen’s coverage history since age 11 and indicates whether there have been 

any breaks in coverage during this period. A teen may be (1) currently insured but uninsured at some 

point since age 11, (2) currently insured and never uninsured since age 11, (3) currently uninsured but 

insured at some point since age 11, or (4) currently uninsured and never insured since age 11.

Both variables are available only for teens with adequate provider data. Beginning in 2022, these 

variables are available for teens from all estimation areas, whereas prior to 2022, they were not 

available from teens residing in U.S. territories. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 50 

8. Analytic and Reporting Guidelines

Data from the NIS-Teen public-use data file can be used to produce national, state, and estimation-area 

estimates of vaccination coverage rates using the PROVWT_C weight (PROVWT_C_TERR if 

territories are to be included). 

Information in the data file can also be used to calculate standard errors of the estimated vaccination 

coverage rates that reflect the complex sample design of the NIS-Teen. The file includes estimation area 

and state identifiers (ESTIAPT22 and STATE) as well as a stratum identifier, STRATUM. The sample 

is stratified by the 58 geographic estimation areas. 

Demographic and socioeconomic variables in the file can be used to obtain national vaccination coverage 

rates for sub-groups of the population. Data users should, however, be aware that estimates for such subgroups at the state or estimation area level will generally have large standard errors because of small 

sample sizes. The CDC standard for precision of sub-group estimates is that relative standard error (the 

ratio of the standard error to the estimate) should be less than 0.3, and each analytic cell should contain at 

least 30 respondents. 

8.1. Use of NIS Sampling Weights

The 2022 NIS-Teen public-use data file contains two teen-level sets of weights. The RDDWT_C variable 

gives the household-phase weight for all teens in the United States excluding territories

(RDDWT_C_TERR if territories are to be included). These weights should be used to form estimates 

from teens with completed household interviews. The weights reflect the stratified sample design and also 

have been adjusted for unit non-response, for the selection of one teen per household, for the number of 

telephone lines in the household, for calibration to population control totals, and for the exclusion of nontelephone and landline-only teens. The weight variables PROVWT_C/PROVWT_C_TERR apply to 

teens with adequate provider data. These weights should be used to form estimates of vaccination 

coverage using variables from Sections 7, 8, and 9 of the public-use data file (see Section 7 of this user's 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 51 

guide). Table 4 presents a summary of the appropriate weights and stratum variables to use for various 

types of analyses.

Table 4: Summary of Weights and Stratum Variables, National Immunization Survey - Teen,

2022 

Weight Variable Population* Sample Frame Strata Stratum 

Variable 

RDDWT_C United States excluding 

territories

Single Frame 

Cellular Phone

Estimation 

Area STRATUM

RDDWT_C_TERR United States including 

territories

Single Frame 

Cellular Phone

Estimation 

Area STRATUM

PROVWT_C 

United States excluding 

territories, teens with 

adequate provider data

Single Frame 

Cellular Phone

Estimation 

Area STRATUM

PROVWT_C_TERR

United States including 

territories, teens with 

adequate provider data

Single Frame 

Cellular Phone

Estimation 

Area STRATUM

* Each weight will contain a missing value for all records that are not included in the population covered by the weight.

The NIS-Teen public-use data file does not contain any provider-level weights. The NIS-Teen does not 

sample providers directly; rather, they are included in the survey through the teens they vaccinate. A user 

of the file should not attempt provider-level analyses (e.g., estimate the percentage of providers in the 

United States that are private providers), because the NIS-Teen sample was not designed for that purpose. 

8.2. Estimation and Analysis

8.2.1. Estimating Vaccination Coverage Rates 

Vaccination coverage rates are ratio estimators, as described in the statistical literature on methods for 

complex sample surveys. Because of the adjustment to the sampling weights for provider-phase nonresponse, statistical analyses require only data from teens with adequate provider data (PDAT2 = 1), 

along with their final provider sampling weights (PROVWT_C/PROVWT_C_TERR). To summarize 

the statistical methodology by which vaccination coverage rates and their standard errors are obtained 

from these data, let Yhi be an indicator, for the ith teen with adequate provider data in the hth stratum of 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 52 

the NIS-Teen sampling design, equal to 1 if the teen is up-to-date according to the provider data and 0 

otherwise. Also, let Whi denote the value of PROVWT_C/PROVWT_C_TERR for this teen. Then, 

letting and , the national estimator of the vaccination coverage rate may be 

expressed as

where L denotes the number of strata, and nh denotes the number of sampled teens with adequate 

provider data in the hth stratum. 

Letting L instead denote the number of strata in a state, the above formula can also be used to calculate 

vaccination coverage rates for states (regardless of whether the state contains only one or more than one

stratum). 

8.2.2. Estimating Standard Errors of Vaccination Coverage Rates 

The Taylor series method can be used to estimate the sampling variance of vaccination coverage rates for 

the U.S., the states, and estimation areas. Letting and

yields an estimator of the variance of the estimated vaccination coverage rate, , equal to

 . 

The standard error is the square root of the variance. The estimation of standard errors for estimates of 

vaccination coverage rates in the NIS-Teen can be implemented in specialized statistical software such as 

SUDAAN (Research Triangle Institute 2008), SAS (SAS Institute Inc. 2009), R (Lumley 2010), and Stata 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 53 

(Stata Corporation 2009). Appendix C gives several examples of the use of SAS, R, and SUDAAN to 

estimate vaccination coverage rates and their standard errors for estimation areas and states. For all 

procedures, the option of with-replacement sampling of primary sampling units within stratum is used, 

because the sampling fractions for households within an estimation area are all quite small. For all 

estimates, the variable STRATUM is used as the stratum variable and the household/teen identifier 

(SEQNUMT) is used as the primary sampling unit identifier. The data file should be sorted first on 

STRATUM and then on SEQNUMT within STRATUM before running the programs for SUDAAN and 

SAS. 

8.3. Combining Multiple Years of NIS-Teen Data

8.3.1. Estimation of Multi-Year Means

With release of the 2022 NIS-Teen public-use data file, fourteen years of public-use NIS-Teen data are 

now available. The precision of estimates of vaccination coverage for sub-domains (e.g., by race/ethnicity 

of teen) within estimation areas or states can be improved by combining multiple years of NIS-Teen data.

Data users should, however, be aware that estimates from combined years of NIS-Teen data represent an 

average over multiple years. Although combining multiple years of NIS-Teen data will yield a larger 

sample size for estimation areas and states, the composition of the population in a geographic area may 

change over time, making interpretation of the results difficult. Furthermore, if vaccination administration 

schedules or vaccination coverage changes over time, the estimate of vaccination coverage for the 

combined time period applies to a hypothetical population that existed at the middle of the time period, 

making interpretation of the results even more difficult. Given the use of independent RDD samples in the 

NIS-Teen, it is also possible that a teen could appear in more than one public-use data file. Finally, given 

the change to the definition of adequate provider data in 2014 and its effect on NIS-Teen vaccination 

coverage rate estimates as described in the introduction, users should exercise caution when interpreting 

results from a combination of years prior to 2014 with years 2014 and later. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 54 

To estimate a multi-year mean for a given NIS-Teen variable, the weights in each participating file 

(RDD-phase weights RDDWT in 2008-2011, RDDWT_D in 2012-2017, and RDDWT_C in 2018-2022; 

and provider-phase weights PROVWT in 2008-2011, PROVWT_D in 2012-2017, and PROVWT_C in 

2018-2022) should be divided by the number of years being combined. For example, if data for 2017-

2022 for teens with adequate provider data are to be combined, then the weights in the six files – 

PROVWT_D in 2017 and PROVWT_C in 2018-2022 – should be divided by 6 to obtain revised 

weights, which should be saved as a new variable, say NEWWT. It is necessary to use NEWWT in the 

analysis to obtain correct weighted estimates for teens aged 13—17 years. Furthermore, the teen ID 

numbers (SEQNUMT) in the files are unique only within a year, not across years. It is important for the 

user to create revised, unique ID numbers when combining data from multiple years. 

The following SAS code can be used: 

YRSEQT = 1 * (YEAR || SEQNUMT);

YEAR is the 4-digit year variable for the NIS-Teen data year (e.g., 2022).

To produce valid estimates of sampling variability and valid confidence intervals for multi-year coverage 

rates and other multi-year means, it is necessary to use specialized software such as SAS, SUDAAN, R, 

or Stata. 

There is an important complication for variance estimation when combining multiple years, because some 

estimation areas are removed and other new areas are added each year (see Section 2 above for more 

information about rotating estimation areas). The variance strata for 2011-2022 are defined by the 

variables STRATUM_D (for 2011) and STRATUM (for 2012-2022), with STRATUM_D and 

STRATUM being a combination of the estimation area variable for that year and the sampling frame 

(landline or cellular phone). The estimation area variables ESTIAPT11-ESTIAPT22 define mutually 

exclusive and exhaustive geographic areas. However, they are not exactly the same areas. For example, 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 55 

Dallas County, TX, was a separate estimation area in 2011, 2016, and 2019 but not in 2012-2015, 

2018, and 2020-2022. Tarrant County, TX, was a separate estimation area in 2018, but not in 2011-

2017 and 2019-2022. Other areas, such as New York City, NY and Rest of New York, are estimation 

areas in all years.

To make inferences concerning multi-year means, the user must take two actions. First, he/she must 

define and save a new stratum variable with a common name for all years included in the analysis. 

Second, he/she must define a common set of estimation domains that can be supported by each of the files 

included in the multi-year analysis. To take these actions, the user should follow the following seven-step 

procedure (or its equivalent): 

i. Compute and save the new, common variance-stratum variable for each year participating in the 

analysis. The variable should be defined by the equation

STRATUMV = STRATUM_D, for teens in the 2011 public-use data file

= STRATUM, for teens in the 2012-2022 public-use data files 

ii. Compute and save the new, common weight variable, NEWWT, as instructed above for each year 

participating in the analysis.

iii. Compute and save the new, unique teen identification numbers, YRSEQT, as instructed above for 

each year participating in the analysis.

iv. Compute and save a variable defining the common estimation domains to be studied for each year 

participating in the analysis. For example, one could use the CDIAP (Common Denominator 

Estimation Area) variable set forth in Table 5 or states as geographic domains.

v. Merge the multiple files into one consolidated file in a format compatible with the specialized 

software to be used.

vi. Sort the consolidated file by YEAR, STRATUMV, and YRSEQT. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 56 

vii. Run the specialized software on the consolidated file, computing estimates, variance estimates, and 

confidence intervals. For SUDAAN users, sampling levels or stages may be specified by the 

statement

NEST YEAR STRATUMV YRSEQT / PSULEV = 3;

the specification of weights by 

WEIGHT NEWWT;

and the specification of estimation domains, for example, by the two statements 

CLASS YEAR CDIAP STATE;

TABLES CDIAP; 

or 

CLASS YEAR CDIAP STATE;

TABLES STATE;

8.3.2. Estimation of Multi-Year Contrasts 

Considerations similar to those for multi-year means arise in the estimation of contrasts between NISTeen years. For example, a typical contrast of interest would be the difference between the vaccination 

coverage parameters in 2021 and in 2022. As when combining multiple years of NIS-Teen data to 

estimate multi-year means, users should exercise caution when combining multiple years of data to 

estimate multi-year contrasts. The composition of the population in a geographic area may change over 

time, and it is possible that a teen could appear in more than one public-use data file. Furthermore, given

the change in the definition of adequate provider data in 2014, users should be aware that NIS-Teen 

vaccination coverage estimates from 2014 and later, which use the revised definition, are not directly 

comparable to those from NIS-Teen 2013 and prior, which used the previous adequate provider data 

definition.

To make inferences concerning a multi-year contrast, the user will need to work with the original weights 

reported on the files and store them in a common variable. One must not divide the original weights by 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 57 

the number of years included in the contrast. For the example, one may define the new, common weight 

variable as

NEWWT2 = PROVWT, if the teen is in the 2011 public-use data file

= PROVWT_D, if the teen is in the 2012-2017 public-use data files

= PROVWT_C, if the teen is in the 2018-2022 public-use data files. 

The user should follow the seven-step procedure set forth in the section on multi-year means, using 

NEWWT2 in lieu of NEWWT. In SUDAAN, the user should also specify the contrast of interest 

through use of a CONTRAST statement or an appropriate regression model. For example, to compare the 

Td/Tdap-containing vaccine up-to-date estimate from 2021 to the 2022 estimate, SUDAAN users can use 

the following WEIGHT, VAR, and CONTRAST statements:

WEIGHT NEWWT2;

VAR P_UTDTD; 

CONTRAST YEAR = (-1 1);
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 58 

Table 5: Cross-Walk Between Annual Estimation Areas, ESTIAPT08-ESTIAPT22, and Common Denominator Estimation Area (CDIAP), National 

Immunization Survey - Teen, 2022*

CDIAP Area Name ESTIAPT08 

(2008)

ESTIAPT09 

(2009)

ESTIAPT10 

(2010)

ESTIAPT11 

(2011)

ESTIAPT12 

(2012)

ESTIAPT13 

(2013)

ESTIAPT14 

(2014)

ESTIAPT15 

(2015)

20 Alabama 20 20 20 20 20 20 20 20

74 Alaska 74 74 74 74 74 74 74 74

66 Arizona 66 66 66 66 66 66 66 66

46 Arkansas 46 46 46 46 46 46 46 46

California 

68 CA-Los Angeles County 68 69 68 68 68 68 68 68

68 CA-Rest of State 68 68 68 68 68 68 68 68

60 Colorado 60 60 60 60 60 60 60 60

1 Connecticut 1 1 1 1 1 1 1 1 

13 Delaware 13 13 13 13 13 13 13 13

12 District of Columbia 12 12 12 12 12 12 12 12

22 Florida 22 22 22 22 22 22 22 22

25 Georgia 25 25 25 25 25 25 25 25

72 Hawaii 72 72 72 72 72 72 72 72

75 Idaho 75 75 75 75 75 75 75 75

Illinois

35 IL-City of Chicago 35 35 35 35 35 35 35 35

34 IL-Rest of State 34 34 34 34 34 34 34 34

Indiana

36 IN-Lake County 36 96 36 36 36 36 36 36

36 IN-Marion County 36 37 36 36 36 36 36 36

36 IN-Rest of State 36 36 36 36 36 36 36 36

56 Iowa 56 56 56 56 56 56 56 56

57 Kansas 57 57 57 57 57 57 57 57

27 Kentucky 27 27 27 27 27 27 27 27

47 Louisiana 47 47 47 47 47 47 47 47

4 Maine 4 4 4 4 4 4 4 4 

14 Maryland 14 14 14 14 14 14 14 14

2 Massachusetts 2 2 2 2 2 2 2 2 

38 Michigan 38 38 38 38 38 38 38 38

40 Minnesota 40 40 40 40 40 40 40 40

28 Mississippi 28 28 28 28 28 28 28 28

58 Missouri 58 58 58 58 58 58 58 58

61 Montana 61 61 61 61 61 61 61 61

59 Nebraska 59 59 59 59 59 59 59 59

73 Nevada 73 73 73 73 73 73 73 73

5 New Hampshire 5 5 5 5 5 5 5 5 

8 New Jersey 8 8 8 8 8 8 8 8 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 59 

CDIAP Area Name ESTIAPT08 

(2008)

ESTIAPT09 

(2009)

ESTIAPT10 

(2010)

ESTIAPT11 

(2011)

ESTIAPT12 

(2012)

ESTIAPT13 

(2013)

ESTIAPT14 

(2014)

ESTIAPT15 

(2015)

49 New Mexico 49 49 49 49 49 49 49 49

New York

11 NY-City of New York 11 11 11 11 11 11 11 11

10 NY-Rest of State 10 10 10 10 10 10 10 10

29 North Carolina 29 29 29 29 29 29 29 29

62 North Dakota 62 62 62 62 62 62 62 62

41 Ohio 41 41 41 41 41 41 41 41

50 Oklahoma 50 50 50 50 50 50 50 50

76 Oregon 76 76 76 76 76 76 76 76

Pennsylvania

17 PA-Philadelphia County 17 17 17 17 17 17 17 17

16 PA-Rest of State 16 16 16 16 16 16 16 16

6 Rhode Island 6 6 6 6 6 6 6 6 

30 South Carolina 30 30 30 30 30 30 30 30

63 South Dakota 63 63 63 63 63 63 63 63

31 Tennessee 31 31 31 31 31 31 31 31

Texas

55 TX-Bexar County 55 55 55 55 55 55 55 55

54 TX-City of Houston 54 54 54 54 54 54 54 54

51 TX-Dallas County 51 52 52 52 51 51 51 51

51 TX-El Paso County 51 53 53 53 51 51 53 53

51 TX-Hidalgo County 51 51 51 51 51 51 51 107

51 TX-Travis County 51 51 51 51 51 51 51 51

51 TX-Tarrant County 51 51 51 51 51 51 51 51

51 TX-Rest of State 51 51 51 51 51 51 51 51

64 Utah 64 64 64 64 64 64 64 64

7 Vermont 7 7 7 7 7 7 7 7 

18 Virginia 18 18 18 18 18 18 18 18

77 Washington 77 77 77 77 77 77 77 77

19 West Virginia 19 19 19 19 19 19 19 19

44 Wisconsin 44 44 44 44 44 44 44 44

65 Wyoming 65 65 65 65 65 65 65 65

- Puerto Rico - - - - - - 106 106
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 60 

Table 5 (continued): Cross-Walk Between ESTIAPT08-ESTIAPT22 and Common Denominator Estimation Area (CDIAP), National Immunization 

Survey - Teen, 2022 

CDIAP Area Name ESTIAPT16 

(2016)

ESTIAPT17 

(2017)

ESTIAPT18 

(2018)

ESTIAPT19 

(2019)

ESTIAPT20 

(2020) ESTIAPT21 (2021) ESTIAPT22 (2022)

20 Alabama 20 20 20 20 20 20 20

74 Alaska 74 74 74 74 74 74 74

66 Arizona 66 66 66 66 66 66 66

46 Arkansas 46 46 46 46 46 46 46

California 

68 CA-Los Angeles County 68 68 68 68 68 68 68

68 CA-Rest of State 68 68 68 68 68 68 68

60 Colorado 60 60 60 60 60 60 60

1 Connecticut 1 1 1 1 1 1 1 

13 Delaware 13 13 13 13 13 13 13

12 District of Columbia 12 12 12 12 12 12 12

22 Florida 22 22 22 22 22 22 22

25 Georgia 25 25 25 25 25 25 25

72 Hawaii 72 72 72 72 72 72 72

75 Idaho 75 75 75 75 75 75 75

Illinois

35 IL-City of Chicago 35 35 35 35 35 35 35

34 IL-Rest of State 34 34 34 34 34 34 34

Indiana

36 IN-Lake County 36 36 36 36 36 36 36

36 IN-Marion County 36 36 36 36 36 36 36

36 IN-Rest of State 36 36 36 36 36 36 36

56 Iowa 56 56 56 56 56 56 56

57 Kansas 57 57 57 57 57 57 57

27 Kentucky 27 27 27 27 27 27 27

47 Louisiana 47 47 47 47 47 47 47

4 Maine 4 4 4 4 4 4 4 

14 Maryland 14 14 14 14 14 14 14

2 Massachusetts 2 2 2 2 2 2 2 

38 Michigan 38 38 38 38 38 38 38

40 Minnesota 40 40 40 40 40 40 40

28 Mississippi 28 28 28 28 28 28 28

58 Missouri 58 58 58 58 58 58 58

61 Montana 61 61 61 61 61 61 61

59 Nebraska 59 59 59 59 59 59 59

73 Nevada 73 73 73 73 73 73 73

5 New Hampshire 5 5 5 5 5 5 5 

8 New Jersey 8 8 8 8 8 8 8 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 61 

CDIAP Area Name ESTIAPT16 

(2016)

ESTIAPT17 

(2017)

ESTIAPT18 

(2018)

ESTIAPT19 

(2019)

ESTIAPT20 

(2020) ESTIAPT21 (2021) ESTIAPT22 (2022)

49 New Mexico 49 49 49 49 59 59 59

New York

11 NY-City of New York 11 11 11 11 11 11 11

10 NY-Rest of State 10 10 10 10 10 10 10

29 North Carolina 29 29 29 29 39 39 39

62 North Dakota 62 62 62 62 62 62 62

41 Ohio 41 41 41 41 41 41 41

50 Oklahoma 50 50 50 50 50 50 50

76 Oregon 76 76 76 76 76 76 76

Pennsylvania

17 PA-Philadelphia County 17 17 17 17 17 17 17

16 PA-Rest of State 16 16 16 16 16 16 16

6 Rhode Island 6 6 6 6 6 6 6 

30 South Carolina 30 30 30 30 30 30 30

63 South Dakota 63 63 63 63 63 63 63

31 Tennessee 31 31 31 31 31 31 31

Texas

55 TX-Bexar County 55 55 55 55 55 55 55

54 TX-City of Houston 54 54 54 54 54 54 54

51 TX-Dallas County 52 52 51 52 51 51 51

51 TX-El Paso County 53 53 51 53 51 51 51

51 TX-Hidalgo County 51 51 107 51 51 51 51

51 TX-Travis County 51 108 51 51 51 51 51

51 TX-Tarrant County 51 51 109 51 51 51 51

51 TX-Rest of State 51 51 51 51 51 51 51

64 Utah 64 64 64 64 64 64 64

7 Vermont 7 7 7 7 7 7 7 

18 Virginia 18 18 18 18 18 18 18

77 Washington 77 77 77 77 77 77 77

19 West Virginia 19 19 19 19 19 19 19

44 Wisconsin 44 44 44 44 44 44 44

65 Wyoming 65 65 65 65 65 65 65

- Puerto Rico 106 - - 106 106 106 106

*This table can be used to derive a Common Denominator Estimation Area (CDIAP) variable for use in multi-year NIS-Teen analyses. This is necessary because certain areas may be included as 

separate estimation areas in one year but subsumed within other estimation areas in another year. The CDIAP variable can be derived for each year by mapping the codes in the year-specific 

estimation area variable column (e.g., ESTIAP08 for the 2008 NIS-Teen) to the corresponding codes in the CDIAP column.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 62 

9. Summary Tables

Appendix E contains seven tables. Appendix Table E.1 lists the 58 estimation areas for the 2022 NISTeen by state. At the national level and for each state and estimation area, it provides the estimated 

population total of teens aged 13—17 years in 2022 and (from 2022 NIS-Teen data collection) the 

number of teens with completed household interviews and number of teens with adequate provider data. 

Appendix Tables E.2 through E.5 summarize pairs of variables: age of teen by maternal education 

(Appendix Table E.2), age of teen by family poverty status (Appendix Table E.3), race/ethnicity of teen 

by family poverty status (Appendix Table E.4), age of teen by race/ethnicity of teen (Appendix Table 

E.5), and age of teen by sex of teen (Appendix Table E.6). Each of these tables gives the unweighted and 

weighted counts of teens for whom the household interview was completed and the unweighted and 

weighted counts of teens with adequate provider data. 

Appendix Table E.7 presents estimates of vaccination coverage and 95% confidence intervals obtained 

from SAS. The data user should obtain the same estimates from the 2022 NIS-Teen public-use data file. 

Appendix F shows the vaccine type codes used in the 2022 NIS-Teen public-use data file. 

Appendix G contains four tables and time-series charts. Table G.1 and Figure G.1 show key components 

of the NIS-Teen landline sample response rates and the landline sample CASRO response rates by year of 

the survey. Table G.2 and Figure G.2 show key components of the NIS-Teen cellular phone sample

response rates and the cellular phone sample CASRO response rates. Table G.3 and Figure G.3 show the 

CASRO response rates for the combined landline and cellular phone samples. Table G.4 and Figure G.4 

show vaccination coverage rate estimates since 2006. 

Appendix H presents key response rate components and the CASRO response rate by estimation area in 

the 2022 NIS-Teen.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 63 

10. Assessment of Total Survey Error in the NIS-Teen

Assessing the validity of the NIS-Teen estimates of vaccination coverage is a critical and ongoing aspect 

of the NIS surveillance program. CDC frequently conducts evaluation studies and controlled experiments 

to understand the causes and impacts of sampling and nonsampling errors on the estimates and enable

formulation of methodological refinements that have the demonstrated capacity to improve data quality. 

As landline phone use decreased and cellular phone use increased dramatically over the past decade, and 

the NIS-Teen transitioned first from a single-frame landline RDD sampling design to a dual-frame 

landline and cellular phone RDD design and then to a single-frame cellular phone RDD design, CDC has 

monitored the NIS-Teen estimates utilizing a Total Survey Error (TSE) approach. 

TSE is the sum of the errors that arise at every step of a survey, including both sampling error and 

nonsampling errors such as sampling-frame coverage, nonresponse, and measurement errors (Mulry and 

Spencer, 1991). Pooling information from multiple evaluations of their precision and accuracy, we have 

conducted TSE analyses for the 2009-2013 NIS-Child and NIS-Teen data (Molinari et al. 2011; NORC 

2011; Pineau et al. 2012; Pineau et al. 2013; Skalland et al. 2016; Wolter et al. 2017b) and for the 2018-

2021 NIS-Child and NIS-Teen data (see the Data User’s Guides for the 2018-2021 NIS-Child and NISTeen public use data files). Data User’s Guides from 2015 to present are located at: 

https://www.cdc.gov/vaccines/imz-managers/nis/datasets-teen.html. 

An assessment based on 2022 NIS-Teen data was conducted in 2023 (CDC, 2023), with results 

summarized in this report. The full report is available at: www.cdc.gov/vaccines/imzmanagers/coverage/teenvaxview/downloads/error-profile-2022-nis-teen.pdf.

10.1 Comparisons of NIS-Teen Data to External Sources

Comparison of Demographic Distributions. Demographic distributions (age, sex, race/ethnicity, mother’s 

education, and mother’s age) among adolescents with adequate provider data were compared to 

benchmark values for adolescents aged 13—17 years derived from the U.S. Census Bureau’s Population 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 64 

Estimates Program (PEP) and American Community Survey (ACS) data. ACS data are located at: 

https://www.census.gov/programs-surveys/acs. When using design weights that have not been 

calibrated to external population totals, demographic distributions as estimated by the survey are 

generally close to the benchmark distributions. Before calibration, the NIS-Teen somewhat overrepresented non-Hispanic White-only adolescents, under-represented Hispanic adolescents, and 

over-represented adolescents whose mothers are college graduates. When using final weights that 

have been calibrated to external population totals, the differences between survey estimates and 

population values narrowed, but the 2022 NIS-Teen still over-represented adolescents whose 

mothers are college graduates (59.1% in survey, 37.4% in population) and under-represented 

adolescents whose mothers have some college but not a four-year degree (23.3% in survey, 30.3% 

in population). 

Comparison to IISAR Vaccination Coverage Rates. Next, NIS-Teen vaccination coverage rate estimates 

were compared to vaccination coverage rates reported in the Immunization Information Systems Annual 

Report (IISAR). Sponsored and conducted by NCIRD, the IISAR is an annual assessment of 

immunization information systems (IIS)5 activity among the 64 immunization program awardees, which 

include the 50 states, 6 cities (Chicago, District of Columbia, Houston, New York City, Philadelphia, and 

San Antonio), and 8 U.S. territories. To evaluate each awardee’s performance, the immunization program 

manager in the awardee area is asked to complete a self-administered, web-based questionnaire asking for 

demographic and immunization information, public and private provider site participation levels, and 

information about achievement of IIS functional standards. NCIRD provides competitive supplemental 

funds to awardees that met high data timeliness and participation (child and adolescent) in the IIS. During 

the period 2013-2017, six awardees were recognized as IIS sentinel sites, including Michigan, Minnesota, 

North Dakota, New York City, Oregon, and Wisconsin. Because of increased timeliness and higher child 

5 State IIS are computer databases that aspire to contain information about all of the doses of all vaccines 

administered to all children resident within the state. State IIS vary in their completeness of both children included 

and the doses they received.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 65 

and adolescent saturation levels in the IIS, vaccination coverage rates reported in IISAR by sentinel sites 

are thought to be relatively more accurate than vaccination rates reported by non-sentinel sites.

Information about the IISAR can be found at: https://www.cdc.gov/vaccines/programs/iis/annual-reportiisar/index.html. 

Vaccination coverage rate estimates from the 2021 NIS-Teen were compared to those from the 2021 

IISAR. The 2021 IISAR was the most recent available, and so the 2021 comparison served as the 

most current information available about the relative accuracy of the 2022 NIS-Teen. NIS-Teen 

vaccination coverage rate estimates were found to be generally higher than IISAR vaccination 

coverage rates, but for five of the six sentinel sites reasonably good agreement was observed 

between NIS-Teen and IISAR rates. (For the sixth sentinel site, the IISAR estimate was over 100 

percent and therefore a clear over-estimate.) Further, the adolescent participation rate – the 

proportion of adolescents in the IIS jurisdiction with two or more vaccine doses in the IIS database6

– was determined to be a reasonable indicator of the quality of the corresponding IIS database, as 

the IIS vaccination coverage rate was found to increase as the adolescent participation rate 

increased. It was also observed (Figure 1) that the difference between NIS-Teen and IISAR 

vaccination coverage rates declines as the adolescent participation rate increases (i.e., as the quality 

of the IIS increases). These findings are consistent with the view that IIS vaccination coverage rates

converge towards NIS-Teen vaccination coverage rates as the quality of the IIS increases.

6 When setting the denominator for the participation rate calculation, some IIS use an external estimate of the 

number of adolescents living in the jurisdiction rather than a count of adolescents in the IIS itself; this results in 

some IIS reporting a participation rate of over 100 percent.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 66 

Figure 1: Scatter Plot of Percentage Point Difference between 2021 NIS-Teen and IISAR 

Vaccination Coverage Rates for One or More Doses of Tdap vs. IIS Adolescent 

Participation Rate (APR) with Regression Line: 56 Estimation Areas 

Note for Figure 1: A positive difference indicates the NIS-Teen vaccination coverage rate estimate was 

higher than the corresponding IISAR estimate, and a negative difference indicates the NIS-Teen vaccination 

coverage rate estimate was lower than the corresponding IISAR estimate.

Comparison of Health Insurance Distributions. NIS-Teen health insurance distributions were compared 

to similar distributions produced by the Current Population Survey (CPS) 

(https://www.census.gov/programs-surveys/cps.html), the National Health Interview Survey (NHIS) 

(https://www.cdc.gov/nchs/nhis/index.htm), and the American Community Survey (ACS) 

(https://www.census.gov/programs-surveys/acs). All of these surveys use somewhat different definitions 

of insurance status and report for different age ranges of adolescents. Nevertheless, we found the NISTeen distributions to be broadly similar to those from the CPS, NHIS, and ACS, but with some 

differences. NIS-Teen estimates of percent of adolescents with any public insurance (41.0% in 2021, 

44.1% in 2022) were higher than most of the corresponding benchmark estimates (41.4% (NHIS), 

34.8% (CPS), and 38.8% (ACS) in 2021; 36.5% (CPS) in 2022), and the NIS-Teen estimates of 

uninsured adolescents (3.0% in 2021, 3.4% in 2022) were lower than the estimates from the 

benchmark surveys (4.8% (NHIS), 6.7% (CPS), and 5.8% (ACS) in 2021; 5.5% (CPS) in 2022).
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 67 

Comparison to State Immunization Surveys. A comparison was undertaken of NIS-Teen vaccination 

coverage rate estimates to estimates from immunization surveys in two states: the 2017 and 2018 

Georgia Adolescent Immunization Survey (GIS) (Machado, 2017; Machado, 2018) and the 2011-

2016 Kansas Behavioral Risk Factor Surveillance Survey (Kansas BRFSS) (Gillespie, 2018). GIS 

and NIS-Teen, and Kansas BRFSS and NIS-Teen, displayed reasonably similar vaccination 

coverage rates for 1+ Tdap and 1+ MenACWY. For males and females both separately and 

combined, NIS-Teen vaccination coverage rates for up-to-date (UTD) HPV7 were substantially and 

statistically significantly higher than the corresponding rates from GIS and Kansas BRFSS. In the 

case of GIS, this finding is likely due to differences between the GIS and NIS-Teen in adolescent age 

at HPV assessment, and in the case of Kansas BRFSS, to incomplete reporting by the parental 

respondents and inclusion of younger children for estimates in the Kansas BRFSS. 

10.2 Assessment of Total Survey Error for NIS-Teen Vaccination Coverage 

Estimates

Next, an assessment of all sources of error in the 2022 NIS-Teen was conducted, including sampleframe coverage error, nonresponse error, and measurement error; the component errors were then 

combined to assess total survey error. The change in total survey error between the 2021 NIS-Teen

and 2022 NIS-Teen was also estimated. 

Coverage Error. The NIS-Teen cellular phone RDD sampling frame fails to cover the landline-only and 

phoneless populations; vaccination coverage rates in the former were estimated using data collected in the 

2017 NIS-Teen and vaccination coverage rates in the latter were estimated using data collected in the 

2012 NHIS Provider Record Check. The vaccination coverage rates in the landline-only population 

tended to be less than the vaccination coverage rates in the population covered by the cellular phone 

7 Throughout this section, UTD HPV is defined as receiving at least three doses of HPV vaccine, or at least two 

doses if the first dose was before age 15 and at least 5 months minus 4 days elapsed between the first and second 

doses.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 68 

sampling-frame, and the results were somewhat mixed with regard to the phoneless population. Because 

the sampling-frame uncovered population is so small relative to the covered population, however, 

mean sampling-frame coverage error was estimated to be 0.1 percentage points or less for 1+ Tdap, 

1+ MenACWY, and UTD HPV. 

Nonresponse Error. Nonresponse error in the 2022 NIS-Teen was assessed through comparison of 

the 2022 NIS-Teen to the cellular phone domain within the 2021 NHIS. NHIS does not offer direct 

estimates of vaccination coverage rates. Instead, a model-based technique was used to impute NHIS 

vaccination status, and then the resulting NHIS vaccination coverage rates (treated as vaccination 

coverage rates void of nonresponse error) were compared to NIS-Teen vaccination coverage rates, with 

the difference treated as nonresponse error in the NIS-Teen. Despite nonresponse in the 2022 NIS-Teen, 

including household nonresponse, non-consent to contact vaccination providers, and provider 

nonresponse, mean nonresponse error in vaccination rates was estimated to be modest and not 

statistically significant at the 0.05 level when using either design weights or final weights that 

account for the survey’s nonresponse adjustment.

Measurement Error. A form of measurement error called “provider under-reporting” was assessed. 

Sometimes called “under-ascertainment,” provider under-reporting error arises when an adolescent with 

adequate provider data is truly vaccinated but is reported as unvaccinated for one or more recommended 

doses in the adolescent’s provider-reported vaccination history. Under-reporting error can occur if the 

household respondent fails to nominate all of the adolescent’s vaccination providers, if one or more of the 

adolescent’s nominated vaccination providers fails to report a vaccination history for the adolescent, or if 

one or more of the adolescent’s nominated providers reports a vaccination history but fails to report all of 

the vaccinations the adolescent has received. Underreporting error was estimated using data from 

projects sponsored by CDC in which the 2017 NIS-Teen sample of adolescents in 19 jurisdictions 

and the 2019 NIS-Teen sample of adolescents in six jurisdictions were matched to the state or local

IIS for the jurisdiction. In this work, the standard of truth for a given adolescent is taken to be the 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 69 

synthesis of the NIS-Teen and IIS vaccination histories. In prior studies conducted in 2012, 2013, 2018, 

2019, 2020, and 2021 using similar methods, measurement error was found to be the largest component 

of error in the NIS-Teen vaccination coverage rate estimates for most vaccines. Similar conclusions 

were reached for the 2022 NIS-Teen, where it was estimated that measurement error decreased

observed vaccination coverage rates by about 2 to 5 percentage points.

Total Survey Error. Finally, all of the component errors were combined to assess the distribution of total 

error in the NIS-Teen vaccination coverage rates, using a Monte Carlo technique. The mean of the 

distribution is an estimate of the total error, and the 2.5 and 97.5 percentiles of the distribution form a 

95% credible interval for the total error. The estimated component errors and total survey errors are 

presented in Table 6. For the ≥1 Tdap vaccination coverage rate, the mean of the TSE distribution 

was found to be -5.0 percentage points with a 95% credible interval of (-6.8, -2.6) percentage points. 

That is, the NIS-Teen ≥1 Tdap vaccination coverage rate was on average about 5.0 percentage 

points too low. For the ≥1 MenACWY vaccination coverage rate, the mean of the TSE distribution

was found to be -4.4 percentage points with a 95% credible interval of (-6.3, -2.1) percentage points.

For UTD HPV, the mean of the TSE distribution was found to be -3.9 (-6.7, 0.8) percentage points

overall, -4.2 (-8.5, 0.4) percentage points for females, and -3.5 (-7.5, 0.7) percentage points for males. 

Under-ascertainment of the provider-reported vaccination history is the largest source of error for 

all vaccines. 

Change in Total Survey Error. Change in TSE between the 2021 and 2022 NIS-Teen was measured 

using the bridging cohort method introduced by NCIRD (Yankey, Hill, Elam-Evans, et al. 2015). 

Each survey year includes adolescents born within 24 quarterly birth cohorts. Every pair of adjacent 

survey years spans 28 quarterly birth cohorts, of which 20 are in common and 8 are not in common. The

set of quarterly birth cohorts in common comprise the bridging cohort, and for 2021 and 2022, the 

bridging cohort extends from adolescents born in January 2004 through adolescents born in 

December 2008.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 70 

Table 6: Mean and 95% Credible Interval for the Estimated Total Survey Error (TSE) 

Distribution and Component Error Distributions for National Vaccination Coverage 

Rate Estimates, National Immunization Survey - Teen, 2022 

Vaccine or Series Component Mean TSE

(percentage points)

95% Credible Interval

(percentage points)

1+ Tdap

TSE (final weighted) -5.0 (-6.8, -2.6)**

TSE (design weighted) -4.2 (-5.9, -1.8)**

Noncoverage error 0.1 (-0.1, 0.6)

Nonresponse error 0.4 (-1.6, 3.0)

Measurement error -4.7 (-5.6, -3.6)**

Sampling error 0.0 (-1.1, 1.4)

1+ MenACWY

TSE (final weighted) -4.4 (-6.3, -2.1)**

TSE (design weighted) -3.7 (-5.6, -1.4)**

Noncoverage error 0.1 (-0.1, 0.6)

Nonresponse error 0.3 (-1.8, 2.8)

Measurement error -4.1 (-5.1, -3.0)**

Sampling error 0.0 (-1.2, 1.3)

UTD HPV*

TSE (final weighted) -3.9 (-6.7, -0.8)**

TSE (design weighted) -3.2 (-6.1, -0.2)**

Noncoverage error 0.2 (-0.1, 0.4)

Nonresponse error -0.9 (-4.1, 2.4)

Measurement error -2.5 (-3.8, -1.0)**

Sampling error 0.0 (-1.4, 1.5)

UTD HPV* among 

females

TSE (final weighted) -4.2 (-8.5, 0.4)

TSE (design weighted) -3.2 (-7.4, 1.4)

Noncoverage error 0.1 (-0.1, 0.4)

Nonresponse error -1.0 (-5.7, 3.9)

Measurement error -2.3 (-4.2, -0.3)**

Sampling error 0.0 (-2.0, 2.0)

UTD HPV* among 

males

TSE (final weighted) -3.5 (-7.5, 0.7)

TSE (design weighted) -3.0 (-7.0, 1.2)

Noncoverage error 0.2 (-0.1, 0.4)

Nonresponse error -0.6 (-5.2, 4.1)

Measurement error -2.6 (-4.6, -0.6)**

Sampling error 0.0 (-2.0, 2.1)

* ≥3 doses, or ≥2 doses if 1st dose before age 15 and at least 5 months – 4 days between 1st and 2nd doses.

** 95% credible interval does not include zero.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 71 

Consider a vaccination coverage rate estimated from the bridging cohort as of a given adolescent age, 

such as 13 years. Two estimates are possible, one using the sample of adolescents in the bridging cohort 

within the 2021 NIS-Teen sample and the second using the corresponding sample of adolescents within 

the 2022 NIS-Teen sample. Ideally, the two estimators should exhibit the same statistical expectation (i.e., 

average value in hypothetical repeated sampling). A large difference between the two estimates may 

signal a change in the statistical expectation from one survey year to the next, which could result from a 

change in the distribution of sampling-frame coverage error, nonresponse error, or measurement error. 

Differences may also result simply from the effects of random sampling error.

For 1+ Tdap by age 13 years, 1+ MenACWY by age 13 years, and UTD HPV by age 13 years, the 

differences between the 2021 and 2022 national-level vaccination coverage rate estimates for the 

bridging cohort were small, and no differences were found to be statistically significant at the 0.05 

level. The difference between the 2022 estimate and the 2021 estimate for the bridging cohort was -

0.8 percentage points for 1+ Tdap, 0.4 percentage points for 1+ MenACWY, 0.1 percentage points 

for UTD HPV overall, 0.4 percentage points for UTD HPV among females, and 0.5 percentage 

points for UTD HPV among males. Overall, the results suggest there is little statistical evidence of a 

change in total survey error between 2021 and 2022. The full assessment of change in total survey 

error is available at: www.cdc.gov/vaccines/imz-managers/coverage/teenvaxview/downloads/errorprofile-2022-nis-teen.pdf.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 72 

11. Limitations 

The findings in this report are subject to at least four limitations. First, because NIS-Teen is a telephone 

survey, results are weighted to be representative of all adolescents aged 13—17 years. Although statistical 

adjustments were made to account for non-response and households without cellular phones, some bias 

might remain. Second, underestimates of vaccination coverage might have resulted from the exclusive use 

of provider-reported vaccination histories because completeness of these records is unknown. Third, 

although national estimates of vaccination coverage are precise, estimates for state and local areas should 

be interpreted with caution because their sample sizes are smaller and their confidence intervals generally 

are wider than those for national estimates. Finally, analysis of trends across data years that span from

2010 and earlier to 2011-2017 and from 2011-2017 to 2018-2022 are subject to potential bias that may 

remain after weighting adjustments because of the switch from landline to dual landline and cellular 

phone frames in 2011, and from dual landline and cellular phone frames to a single cellular phone frame 

in 2018 (Nguyen et al. 2019). In addition, analysis of trends across data years that span from 2011 to 2017 

are subject to potential bias that may remain after weighting adjustments because of the expansions and 

reductions of the share of the total sample that came from the cellular phone frame across these years and 

because of the change in the definition of adequate provider data in 2014. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 73 

12. Citations for NIS-Teen Data 

In publications please acknowledge the original data source. The citation for the 2022 NIS-Teen publicuse data file is:

U.S. Department of Health and Human Services (DHHS). National Center for Immunization and 

Respiratory Diseases. The 2022 National Immunization Survey - Teen, Atlanta, GA: Centers for Disease 

Control and Prevention, 2023. 

Information about the NIS-Teen is located at http://www.cdc.gov/vaccines/imz-managers/nis/about.html.

The NIS-Teen public-use data file is located at http://www.cdc.gov/vaccines/imz-managers/nis/datasetsteen.html.

Please place the acronym “NIS-Teen” in the titles, keywords, or abstracts of journal articles and other 

publications in order to facilitate retrieval of such materials in bibliographic searches.

The following publications use past and current NIS-Teen data:

2022 

Abouelella, D. K., Canick, J. E., Barnes, J. M., Rohde, R. L., Watts, T. L., Adjei Boakye, E., & OsazuwaPeters, N. (2022). Human papillomavirus vaccine uptake among teens before and during the COVID-19 

pandemic in the United States. Human Vaccines & Immunotherapeutics, 18(7), 

doi: 10.1080/21645515.2022.2148825 

Agana-Norman, D. F., Berenson, A. B., & Chang, M. (2022). Impact assessment of a provider-targeted 

national vaccine messaging campaign on human papillomavirus vaccination rates among US adolescent 

males. Preventive Medicine, 164, 107228.

Chido-Amajuoyi, O. G., Talluri, R., Jackson, I., Shete, S. S., Domgue, J. F., & Shete, S. (2022). The 

influence of parent–child gender on intentions to refuse HPV vaccination due to safety concerns/side 

effects, National Immunization Survey–Teen, 2010–2019. Human Vaccines & 

Immunotherapeutics, 18(5), 2086762. 

Chido-Amajuoyi, O., Talluri, R., Jackson, I., Shete, S., Domgue, J. F., & Shete, S. (2022). HPV nonvaccination due to safety concerns/side effects: Variations in vaccination intentions by Parent-Child 

Gender, National Immunization Survey-Teen, 2010-2019. Cancer Research, 82(12_Supplement), 2209-

2209. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 74 

Choi, Y., Bhatti, A., Liu, Z., Ruch, A., Skolnik, A., Carias, C., Goveia, M. G., & Simon, J. K. (2022). 

Association Between State Hepatitis A Vaccination Requirements and Hepatitis A Vaccination 

Rates. Journal of the Pediatric Infectious Diseases Society, 11(6), 295-299. 

Choi, S. S., & Choi, B. (2022). Comparison of Social Inequality in Human Papillomavirus (HPV) 

Vaccination among Teenagers with Parental Reports and Healthcare Providers’ Records in the 2019 

National Immunization Survey-Teen. Vaccines, 10(2), 178.

Cortright, L., Buckman, C., Tumin, D., Syed, S., & Beeninga, F. T. (2022). Influence of measles-mumpsrubella vaccine series initiation and completion on influenza vaccination among adolescents. 

International Journal of Pediatrics and Adolescent Medicine, 9, 11-15. 

Ejezie, C. L., Osaghae, I., Ayieko, S., & Cuccaro, P. (2022). Adherence to the recommended HPV 

vaccine dosing schedule among adolescents aged 13 to 17 years: findings from the national immunization 

survey-teen, 2019–2020. Vaccines, 10(4), 577. 

Elam-Evans, L. D., Valier, M. R., Fredua, B., Zell, E., Murthy, B. P., Sterrett, N., ... & Marin, M. (2022). 

Celebrating 25 years of varicella vaccination coverage for children and adolescents in the United States: a 

success story. The Journal of Infectious Diseases, 226(Supplement_4), S416-S424. 

Gambrell, A., Sundaram, M., & Bednarczyk, R. A. (2022). Estimating the number of US children 

susceptible to measles resulting from COVID-19-related vaccination coverage declines. Vaccine, 40(32), 

4574-4579. 

Hartman, K. C., Ancha, S., & McLaughlin, M. J. (2022). Human papillomavirus vaccination rates in 

adolescents with cerebral palsy compared to the general population. Journal of Pediatric Rehabilitation 

Medicine, (Preprint), 1-8. 

Lu, P. J., Yankey, D., Fredua, B., Hung, M. C., Sterrett, N., Markowitz, L. E., & Elam–Evans, L. D. 

(2022). Human papillomavirus vaccination trends among adolescents: 2015 to 2020. Pediatrics, 150(1), 

e2022056597.

Luna, M., & Upadhyay, S. (2022, June). Trends in the Utilization of Human Papillomavirus Vaccines and 

the Incidence of Malignant Cervical Cancer in Women and Teenagers: A Secondary Analysis. 

Healthcare, 10(7), 1211. 

Nasserie, T., & Bendavid, E. (2022). Systematic identification and replication of factors associated with 

human papillomavirus vaccine initiation among adolescents in the United States using an environmentwide association study approach. Sexually Transmitted Infections, 98(3), 203-209.

Pruitt, S. L., Tiro, J. A., Kepka, D., & Henry, K. (2022). Missed Vaccination Opportunities Among US 

Adolescents by Area Characteristics. American Journal of Preventive Medicine, 62(4), 538-547. 

Rositch, A. F., Liu, T., Chao, C., Moran, M., & Beavis, A. L. (2022). Levels of parental human 

papillomavirus vaccine hesitancy and their reasons for not intending to vaccinate: insights from the 2019 

National Immunization Survey-Teen. Journal of Adolescent Health, 71(1), 39-46. 

Sundaram, M. E., & Bednarczyk, R. A. (2022). Toward a Deeper Understanding of the Spectrum of 

Parental Human Papillomavirus Vaccine Hesitancy. Journal of Adolescent Health, 71(1), 4-5. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 75 

Torres, A. R., Johnson, N. P., Ellingson, M. K., Hansen, C. E., Oliveira, C. R., Niccolai, L. M., & Sheth, 

S. S. (2022). State laws permitting adolescent consent to human papillomavirus vaccination and rates of 

immunization. JAMA pediatrics, 176(2), 203-205. 

Tran, N., Cortright, L., Buckman, C., Tumin, D., & Syed, S. (2022). Association between asthma and 

influenza vaccine uptake among US adolescents: a retrospective survey study. Journal of Asthma, 59(6), 

1256-1262.

2021 

Caldwell, A. C., Madden, C. A., Thompson, D. M., Garbe, M. C., Roberts, J. R., Jacobson, R. M., & 

Darden, P. M. (2021). The impact of provider recommendation on human papillomavirus vaccine and 

other adolescent vaccines. Human vaccines & immunotherapeutics, 17(4), 1059-1067.

Carrera, M., Lawler, E. C., & White, C. (2021). Population mortality and laws encouraging influenza 

vaccination for hospital workers. Annals of Internal Medicine, 174(4), 444-452. 

Chido-Amajuoyi OG, Talluri R, Shete SS, Shete S. Safety Concerns or Adverse Effects as the Main 

Reason for Human Papillomavirus Vaccine Refusal: National Immunization Survey–Teen, 2008 to 

2019. JAMA Pediatr. 2021;175(10):1074–1076. doi:10.1001/jamapediatrics.2021.1585 

Churchill, B. F. (2021). How important is the structure of school vaccine requirement opt-out provisions? 

Evidence from Washington, DC's HPV vaccine requirement. Journal of Health Economics, 78, 102480. 

Churchill, B. F. (2021). Insurance Coverage, Provider Contact, and Take-Up of the HPV 

Vaccine. American Journal of Health Economics, 7(2), 222-247. 

Daniels, V., Prabhu, V. S., Palmer, C., Samant, S., Kothari, S., Roberts, C., & Elbasha, E. (2021). Public 

health impact and cost-effectiveness of catch-up 9-valent HPV vaccination of individuals through age 45 

years in the United States. Human vaccines & immunotherapeutics, 17(7), 1943-1951. 

Gogineni, V. (2021). Exposure to Health Care Economics and Policy in Medical School Curricula as an 

Avenue to Improve Patient Advocacy. Academic Medicine, 96(1), 12-13. 

Hansen, C. E., & Niccolai, L. M. (2021). Factors Associated With Receipt of Meningococcal B Vaccine 

Among United States Adolescents, National Immunization Survey-Teen, 2017–2018. Journal of 

Adolescent Health, 69(5), 769-773. 

Kong, W. Y., Bustamante, G., Pallotto, I. K., Margolis, M. A., Carlson, R., McRee, A. L., & Gilkey, M. 

B. (2021). Disparities in healthcare providers' recommendation of HPV vaccination for US adolescents: A 

systematic review. Cancer Epidemiology and Prevention Biomarkers, 30(11), 1981-1992. 

La, E. M., Garbinsky, D., Hunter, S., Poston, S., Novy, P., & Ghaswalla, P. (2021). Meningococcal B 

vaccination coverage among older adolescents in the United States. Vaccine, 39(19), 2660-2667. 

La, E. M., Garbinsky, D., Hunter, S., Poston, S., Novy, P., & Ghaswalla, P. (2021). National and StateLevel Composite Completion of Recommended Vaccines Among Adolescents in the United States, 

2015–2018. Journal of Adolescent Health, 69(5), 762-768. 

Lu, P. J., Yankey, D., Fredua, B., Hung, M. C., Walker, T. Y., Markowitz, L. E., & Elam-Evans, L. D. 

(2021). National and State-Specific Estimates of Settings of Receiving Human Papillomavirus 

Vaccination Among Adolescents in the United States. Journal of Adolescent Health, 69(4), 597-603. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 76 

Nasserie, T., & Bendavid, E. (2021). Systematic identification and replication of factors associated with 

human papillomavirus vaccine initiation among adolescents in the United States using an environmentwide association study approach. Sexually transmitted infections

Nguyen, K. H., Santibanez, T. A., Stokley, S., Lindley, M. C., Fisher, A., Kim, D., ... & Singleton, J. 

(2021). Parental vaccine hesitancy and its association with adolescent HPV vaccination. Vaccine, 39(17), 

2416. 

Pingali, C., Yankey, D., Elam-Evans, L. D., Markowitz, L. E., Williams, C. L., Fredua, B., McNamara, L. 

A., Stokley, S., & Singleton, J. A. (2021). National, regional, state, and selected local area vaccination 

coverage among adolescents aged 13–17 years—United States, 2020. Morbidity and Mortality Weekly 

Report, 70(35), 1183.

Oh, N. L., Biddell, C. B., Rhodes, B. E., & Brewer, N. T. (2021). Provider communication and HPV 

vaccine uptake: a meta-analysis and systematic review. Preventive Medicine, 148, 106554.

Reiter, P. L., Pennell, M. L., Martinez, G. A., & Katz, M. L. (2021). Provider recommendation for HPV 

vaccination across Hispanic/Latinx subgroups in the United States. Human Vaccines & 

Immunotherapeutics, 17(4), 1083-1088. 

Sonawane, K., Zhu, Y., Lin, Y. Y., Damgacioglu, H., Lin, Y., Montealegre, J. R., & Deshmukh, A. A. 

(2021). HPV vaccine recommendations and parental intent. Pediatrics, 147(3): e2020026286. 

10.1542/peds.2020-026286 

Sonawane, K., Lin, Y. Y., Damgacioglu, H., Zhu, Y., Fernandez, M. E., Montealegre, J. R., ... & 

Deshmukh, A. A. (2021). Trends in human papillomavirus vaccine safety concerns and adverse event 

reporting in the United States. JAMA network open, 4(9), e2124502-e2124502.

Tran, N., Cortright, L., Buckman, C., Tumin, D., & Syed, S. (2021). Association between asthma and 

influenza vaccine uptake among US adolescents: a retrospective survey study. Journal of Asthma, 1-7. 

Vasudevan, L., Ostermann, J., Wang, Y., Harrison, S. E., Yelverton, V., McDonald, J. A., ... & Walter, E. 

B. (2021). Predictors of HPV vaccination in the southern US: A survey of caregivers from 13 

states. Vaccine, 39(51), 7485-7493. 

Wood, M. L., Hoke, A. M., Schaefer, E. W., & Sekhar, D. L. (2021). The association between state-based 

provisional attendance periods and adolescent middle school-entry vaccination coverage. Preventive 

Medicine, 153, 106733.

Zhang, Y., Fakhry, C., & D’Souza, G. (2021). Projected association of human papillomavirus vaccination 

with oropharynx cancer incidence in the US, 2020-2045. JAMA oncology, 7(10), e212907-e212907. 

Weatherer, A. C., Pritzl, S. L., Kerch, S., Li, Z., & LoConte, N. K. (2021). Current Trends in HPV 

Vaccine Uptake: Wisconsin and United States, 2016-2019. WMJ: official publication of the State Medical 

Society of Wisconsin, 120(1), 62-65. 

2020 

Beeninga FT, Cortright L, Buckman C, Tumin D, Syed S. Influence of measles-mumps-rubella vaccine 

series initiation and completion on influenza vaccination among adolescents. International Journal of 

Pediatrics and Adolescent Medicine. 2020. doi: https://doi.org/10.1016/j.ijpam.2020.12.001 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 77 

Burger EA, Smith MA, Killen J, Sy S, Simms KT, Canfell K, Kim JJ. Projected time to elimination of 

cervical cancer in the USA: a comparative modelling study. The Lancet Public Health. 2020;5(4):e213-

e222.

Caldwell AC, Madden CA, Thompson DM, Garbe MC, Roberts JR, Jacobson RM, Darden PM. The 

impact of provider recommendation on human papillomavirus vaccine and other adolescent 

vaccines. Human vaccines & immunotherapeutics. 2020;17:4:1059-1067. 

Conrey R, Valencia V, Cioletti A, Williams-Brown MY. Regional variation in human papillomavirus 

vaccination uptake and completion among adolescents 13-17 in the state of Texas. Vaccine. 

2020;38(25):4119-4124. doi:10.1016/j.vaccine.2020.03.059 

Elam-Evans LD, Yankey D, Singleton JA, Sterrett N, Markowitz LE, Williams CL, Fredua B, McNamara 

L, Stokley S. National, Regional, State, and Selected Local Area Vaccination Coverage Among 

Adolescents Aged 13–17 Years — United States, 2019. MMWR Morb Mortal Wkly Rep 

2020;69(33):1109-1116. 

Hoff BM, Livingston MD 3rd, Thompson EL. The association between state Medicaid expansion and 

human papillomavirus vaccination. Vaccine. 2020;38(38):5963-5965. doi:10.1016/j.vaccine.2020.07.024 

Khan N, Tomar SL. The incidence of oropharyngeal cancer and rate of human papillomavirus vaccination 

coverage in Florida, 2011 through 2015. J Am Dent Assoc. 2020;151(1):51-58. 

doi:10.1016/j.adaj.2019.08.022 

Ko JS, Goldbeck CS, Baughan EB, Klausner JD. Association Between Human Papillomavirus 

Vaccination School-Entry Requirements and Vaccination Initiation [published online ahead of print, 2020 

Jun 29]. JAMA Pediatr. 2020;e201852. doi:10.1001/jamapediatrics.2020.1852 

Newcomer SR, Caringi J, Jones B, Coyle E, Schehl T, Daley MF. A Mixed-Methods Analysis of Barriers 

to and Facilitators of Human Papillomavirus Vaccination Among Adolescents in Montana. Public Health 

Reports. 2020;135(6):842-850.

Reiter PL, Pennell ML, Martinez GA, Perkins RB, Katz ML. HPV vaccine coverage across 

Hispanic/Latinx subgroups in the United States. Cancer Causes Control. 2020;31(10):905-914. 

doi:10.1007/s10552-020-01331-y 

Sonawane K, Zhu Y, Montealegre JR, et al. Parental intent to initiate and complete the human 

papillomavirus vaccine series in the USA: a nationwide, cross-sectional survey. Lancet Public Health. 

2020;5(9):e484-e492. doi:10.1016/S2468-2667(20)30139-0 

Thompson EL, Livingston MD 3rd, Daley EM, Saslow D, Zimet GD. Rhode Island Human 

Papillomavirus Vaccine School Entry Requirement Using Provider-Verified Report. Am J Prev Med. 

2020;59(2):274-277. doi:10.1016/j.amepre.2020.02.022 

Walker TY, Elam-Evans LD, Williams CL, Fredua B, Yankey D, Markowitz LE, Stokley S. Trends in 

human papillomavirus (HPV) vaccination initiation among adolescents aged 13–17 by metropolitan 

statistical area (MSA) status, National Immunization Survey–Teen, 2013–2017. Human vaccines & 

immunotherapeutics. 2020;16(3):554-561.

Yankey D, Elam-Evans LD, Bish CL, Stokley SK. Human Papillomavirus Vaccination Estimates Among 

Adolescents in the Mississippi Delta Region: National Immunization Survey‐Teen, 2015-2017. Prev 

Chronic Dis. 2020;17:E31. Published 2020 Apr 16. doi:10.5888/pcd17.190234 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 78 

Yoo W, Koskan A, Scotch M, Pottinger H, Huh WK, Helitzer D. Patterns and Disparities in Human 

Papillomavirus (HPV) Vaccine Uptake for Young Female Adolescents among U.S. States: NIS-Teen 

(2008-2016). Cancer Epidemiol Biomarkers Prev. 2020;29(7):1458-1467. doi:10.1158/1055-9965.EPI19-1103 

2019 

Bednarczyk RA, Ellingson MK, Omer SB. Human Papillomavirus Vaccination Before 13 and 15 Years of 

Age: Analysis of National Immunization Survey Teen Data. JID 2019 Sept; 220:730–4. 

Cheng WY, Chang R, Novy P, O'Connor C, Duh MS, Hogea CS. Determinants of Meningococcal 

ACWY vaccination in adolescents in the US: completion and compliance with the CDC 

recommendations. Hum Vaccin Immunother. 2020;16(1):176-188. doi:10.1080/21645515.2019.1632679 

Franco M, Mazzucca S, Padek M, Brownson RC. Going beyond the individual: how state-level 

characteristics relate to HPV vaccine rates in the United States. BMC public health. 2019 Dec;19(1):246. 

Hirth JM, Fuchs EL, Chang M, Fernandez ME, Berenson AB. Variations in reason for intention not to 

vaccinate across time, region, and by race/ethnicity, NIS-Teen (2008–2016). Vaccine. 2019 Jan 

21;37(4):595-601. 

Lu PJ, Yankey D, Fredua B, O’Halloran AS, Williams C, Markowitz LE, Elam-Evans LD. Association of 

Provider Recommendation and Human Papillomavirus Vaccination Initiation among Male Adolescents 

Aged 13-17 Years—United States. The Journal of pediatrics Volume 206, March 2019, Pages 33-41.e1. 

Niccolai LM, Yakely AE, Hansen CE. Up-to-date coverage with meningococcal vaccine among 

adolescents age 17 years: Patterns and correlates in the United States, 2017. Vaccine. 2019;37(40):5934-

5938. doi:10.1016/j.vaccine.2019.08.015 

Sriram S, Ranganathan R. Why human papilloma virus vaccination coverage is low among adolescents in 

the US? A study of barriers for vaccination uptake. J Family Med Prim Care. 2019;8(3):866-870. 

doi:10.4103/jfmpc.jfmpc_107_19 

Suryadevara M, Bonville CA, Cibula DA, Domachowske JB, Suryadevara AC. Associations between 

population based voting trends during the 2016 US presidential election and adolescent vaccination rates. 

Vaccine. 2019 Jan 26. 

Swiecki‐Sikora AL, Henry KA, Kepka D. HPV Vaccination Coverage Among US Teens Across the 

Rural‐Urban Continuum. The Journal of Rural Health. 2019 Jan 31.

Walker TY; Elam-Evans LD; Yankey D; Markowitz LE; Williams CL; Fredua B; Singleton JA; Stokley 

S. National, Regional, State, and Selected Local Area Vaccination Coverage Among Adolescents Aged 

13–17 Years — United States, 2018. MMWR Morb Mortal Wkly Rep 2019;68(33):718-723. 

Walker TY, Elam-Evans LD, Williams CL, Fredua B, Yankey D, Markowitz LE, Stokley S. Trends in 

Human Papillomavirus (HPV) Vaccination Initiation among Adolescents Aged 13-17 by Metropolitan 

Statistical Area (MSA) Status, National Immunization Survey – Teen, 2013 – 2017. Hum Vaccin 

Immunother 2019;Epub ahead of publication DOI: 10.1080/21645515.2019.1671765 

Williams CL, Walker TY, Elam-Evans LD, Yankey D, Fredua B, Saraiya M, Stokley S. Factors 

associated with not receiving HPV vaccine among adolescents by metropolitan statistical area status, 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 79 

United States, National Immunization Survey–Teen, 2016–2017Hum Vaccin Immunother 2019; Epub 

ahead of publication DOI:10.1080/21645515.2019.1670036 

2018 

Beavis A, Krakow M, Levinson K, Rositch AF. "Reasons for Lack of HPV Vaccine Initiation in NISTeen Over Time: Shifting the Focus From Gender and Sexuality to Necessity and Safety." Journal of 

Adolescent Health 63.5 (2018): 652-656. 

Fedewa SA, Preiss AJ, Fisher‐Borne M, Goding Sauer A, Jemal A, Saslow D. Reaching 80% human 

papillomavirus vaccination prevalence by 2026: How many adolescents need to be vaccinated and what 

are their characteristics?. Cancer. 2018 Dec 15;124(24):4720-30. 

Hanson KE, Koch B, Bonner K, McRee AL, Basta NE. National trends in parental human papillomavirus 

vaccination intentions and reasons for hesitancy, 2010–2015. Clinical Infectious Diseases. 2018 Mar 

27;67(7):1018-26. 

Healy J, Rodriguez-Lainz A, Elam-Evans L, Hill HA, Reagan-Steiner S, Yankey D (2018). Vaccination 

coverage among foreign-born and U.S.-born adolescents in the United States: Successes and gaps – 

National Immunization Survey-Teen, 2012–2014. Vaccine 2018; 36(13):1743-1750. 

Landis K, Bednarczyk RA, Gaydos LM. Correlates of HPV vaccine initiation and provider 

recommendation among male adolescents, 2014 NIS-Teen. Vaccine. 2018 Jun 7;36(24):3498-504. 

Leung J, Reagan-Steiner S, Lopez A, Jeyarajah J, Marin M. Varicella Vaccination Among US 

Adolescents: Coverage and Missed Opportunities, 2007-2014. Journal of Public Health Management 

Practice 2018; [Epub ahead of print]. 

Lu PJ, Yankey D, Jeyarajah J, O’Halloran A, Fredua B, Elam-Evans LD, Reagan-Steiner S. Association 

of Health Insurance Status and Vaccination Coverage among Adolescents 13-17 Years of Age. Journal of 

Pediatrics 2018; 195:256-262.e1. 

Nelson NP, Yankey D, Singleton JA, Elam-Evans LD. Hepatitis A vaccination coverage among 

adolescents (13-17 years) in the United States, 2008-2016.Vaccine 2018; 36(12):1650-1659. 

Odoh C, Sanderson M, Williams EA, Hull PC. Operationalizing outcome measures of human 

papillomavirus vaccination among adolescents. Public Health 2018; 159:129-132. 

Roberts MC, Murphy T, Moss JL, Wheldon CW, Psek W. A qualitative comparative analysis of 

combined state health policies related to human papillomavirus vaccine uptake in the United States. 

American Journal of Public Health 2018; 108(4):493-499.

Thompson EL, Livingston MD, Daley EM, Zimet GD. Human Papillomavirus Vaccine Initiation for 

Adolescents Following Rhode Island's School-Entry Requirement, 2010-2016. American Journal of 

Public Health 2018. e1-e3. doi: 10.2105/AJPH.2018.304552. [Epub ahead of print]. 

Walker TY, Elam-Evans LD., Singleton JA., Yankey, D, Markowitz LE, Fredua B, et al. National, 

Regional, State, and Selected Local Area Vaccination Coverage Among Adolescents Aged 13–17 Years 

— United States, 2017. MMWR 2018 Aug 24; 67:909-917. 

Webb NS, Dowd-Arrow B, Taylor MG, Burdette AM. Racial/Ethnic Disparities in Influenza Vaccination 

Coverage Among US Adolescents, 2010-2016. Public Health Reports. 2018 Nov;133(6):667-76. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 80 

2017 

Adjei BE, Tobo BB, Osazuwa PN, Mohammed KA, Geneus CJ, Schootman M. A Comparison of Parentand Provider-Reported Human Papillomavirus Vaccination of Adolescents. American Journal of 

Preventive Medicine 2017; 52(6):742-752. 

Bednarczyk RA, Orenstein WA, Omer SB. Impact of Gender-Specific Human Papillomavirus Vaccine 

Recommendations on Uptake of Other Adolescent Vaccines: Analysis of the NIS-Teen (2008-2012). J 

Public Health Manag Pract. 2017;23(2):122-125. doi:10.1097/PHH.0000000000000335 

Bodson J, Ding Q, Warner EL, Hawkins AJ, Henry KA, Kepka D. Sub-Regional Assessment of HPV 

Vaccination Among Female Adolescents in the Intermountain West and Implications for Intervention 

Opportunities. Maternal and Child Health Journal 2017; 21(7):1500-1511.

Burdette AM, Webb NS, Hill TD, Jokinen-Gordon H. Race-specific trends in HPV vaccinations and 

provider recommendations: persistent disparities or social progress? Public Health 2017; 142:167-176. 

Cheruvu VK, Bhatta MP, Drinkard LN. Factors associated with parental reasons for "no-intent" to 

vaccinate female adolescents with human papillomavirus vaccine: National Immunization Survey - Teen 

2008-2012. BMC Pediatrics 2017; 17(1):52. 

Henry KA, Swiecki-Sikoria AL, Stroup AM, Warner EL, Kepka D. Area-based socioeconomic factors 

and Human Papillomavirus (HPV) vaccination among teen boys in the United States. BMC Public Health 

2017 Jul 14;18(1):19.

Johnson KL, Lin MY, Cabral H, Kazis LE, Katz IT. Variation in human papillomavirus vaccine uptake 

and acceptability between female and male adolescents and their caregivers. J Community Health 

2017;42:522–532. 

Klosky JL, Hudson MM, Chen Y, Connelly JA, Wasilewski-Masker K, Sun CL, et al. Human 

papillomavirus vaccination rates in young cancer survivors. Journal of Clinical Oncology 2017; 35(31): 

3582-3590. 

Krakow M, Beavis A, Cosides O, Rositch AF. Characteristics of adolescents lacking providerrecommended human papillomavirus vaccination. Journal of Adolescent Health 2017; 60:619-622. 

Lu PJ, Yankey D, Jeyarajah J, O’Halloran A, Meyer SA, Elam-Evans LD, Reagan-Steiner S. Impact of 

Provider Recommendation on Tdap Vaccination of Adolescents Aged 13–17 Years. American Journal of 

Preventive Medicine 2017 Sept; 53(3):373-384. 

Mohammed KA, Vivian E, Loux TM, Arnold LD. Factors associated with parents’ intent to vaccinate 

adolescents for human papillomavirus: findings from the 2014 National Immunization Survey–Teen. Prev 

Chronic Dis 2017;14:160314. DOI: https://doi.org/10.5888/pcd14.160314. 

Pierre-Victor D, Trepka MJ, Page TF, Li T, Stephens DP, Madhivanan P. Impact of Louisiana’s HPV 

vaccine awareness policy on HPV vaccination among 13- to 17-year-old females. Health Education & 

Behavior 2017; 44(4): 548–558. 

Pierre-Victor D, Page TF, Trepka MJ, Stephens DP, Li T, Madhivanan P. Impact of Virginia’s schoolentry vaccine mandate on human papillomavirus vaccination among 13–17-year-old Females. JOURNAL 

OF WOMEN’S HEALTH 2017; 26(3): 266-275. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 81 

Rahman M, Hirth JM, Berenson AB. Adherence to ACIP recommendation for human papillomavirus 

vaccine among US adolescent girls. J Community Health 2017;42:385–389. 

Thompson EL, Rosen BL, Vamos CA, Kadono M, Daley EM. Human papillomavirus vaccination: what 

are the reasons for nonvaccination among US adolescents? Journal of Adolescent Health 2017;61:288-

293. 

Waldrop AR, Moss JL, Liu B, Zhu L. Ranking states on coverage of cancer-preventing vaccines among 

adolescents: The influence of imprecision. Public Health Reports 2017; 132(6):627-636. 

Walker TY, Elam-Evans LD, Singleton JA, Yankey D, Markowitz LE, Fredua B, Williams CL, Meyer 

SA, Stokley S. National, regional, state, and selected local area vaccination coverage among adolescents 

aged 13-17 years – United States, 2016. MMWR. 2017 Aug 25;66(33):874-82. DOI: 

http://dx.doi.org/10.15585/mmwr.mm6633a2. 

Warner EL, Ding Q, Pappas LM, Henry K, Kepka D. White, affluent, educated parents are least likely to 

choose HPV vaccination for their children: A cross-sectional study of the National Immunization Study – 

teen. BMC Pediatrics 2017; 17(1),200. 

2016 

Beachler DC, Gonzales FA, Kobrin SC, Kreimer AR. HPV vaccination initiation after the routinerecommended ages of 11-12 in the United States. Papillomavirus Res. 2016;2:11-16. 

doi:10.1016/j.pvr.2015.12.001 

Bednarczyk RA, Orenstein WA, Omer SB. Estimating the Number of Measles-Susceptible Children and 

Adolescents in the United States Using Data From the National Immunization Survey-Teen (NIS-Teen). 

Am J Epidemiol. 2016;184(2):148-156. doi:10.1093/aje/kwv320 

Cardemil CV, Cullen KA, Harris L, Greby SM, Santibanez TA. Factors Associated With Provider 

Reporting of Child and Adolescent Vaccination History to Immunization Information Systems: Results 

From the National Immunization Survey, 2006-2012. J Public Health Manag Pract. 2016;22(3):245-254. 

doi:10.1097/PHH.0000000000000278 

Choi Y, Eworuke E, Segal R. What explains the different rates of human papillomavirus vaccination 

among adolescent males and females in the United States?. Papillomavirus Res. 2016;2:46-51. 

doi:10.1016/j.pvr.2016.02.001 

Cloessner EA, Stokley S, Yankey D, Markowitz LE. Timing of HPV vaccine intervals among United 

States teens with consideration to the current ACIP schedule and the WHO 2-dose schedule. Hum Vaccin 

Immunother. 2016;12(6):1375-1380. doi:10.1080/21645515.2015.1110659 

Gilkey MB, Reiter PL, Magnus BE, McRee AL, Dempsey AF, Brewer NT. Validation of the Vaccination 

Confidence Scale: A Brief Measure to Identify Parents at Risk for Refusing Adolescent Vaccines. Acad 

Pediatr. 2016;16(1):42-49. doi:10.1016/j.acap.2015.06.007

Henry KA, Stroup AM, Warner EL, Kepka D. Geographic Factors and Human Papillomavirus (HPV) 

Vaccination Initiation among Adolescent Girls in the United States. Cancer Epidemiol Biomarkers Prev. 

2016;25(2):309-317. doi:10.1158/1055-9965.EPI-15-0658 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 82 

Hirth J, Kuo YF, Laz TH, et al. Concordance of adolescent human papillomavirus vaccination parental 

report with provider report in the National Immunization Survey-Teen (2008-2013). Vaccine. 

2016;34(37):4415-4421. doi:10.1016/j.vaccine.2016.07.014 

Jeyarajah J, Elam-Evans LD, Stokley S, Smith PJ, Singleton JA. Human Papillomavirus Vaccination 

Coverage Among Girls Before 13 Years: A Birth Year Cohort Analysis of the National Immunization 

Survey-Teen, 2008-2013. Clin Pediatr (Phila). 2016;55(10):904-914. doi:10.1177/0009922815616245

Kepka D, Ding Q, Hawkins AJ, Warner EL, Boucher KM. Factors associated with early adoption of the 

HPV vaccine in US male adolescents include Hispanic ethnicity and receipt of other vaccines. Prev Med 

Rep. 2016;4:98-102. Published 2016 May 25. doi:10.1016/j.pmedr.2016.05.014 

Lai D, Ding Q, Bodson J, Warner EL, Kepka D. Factors Associated with Increased HPV Vaccine Use in 

Rural-Frontier U.S. States. Public Health Nurs. 2016;33(4):283-294. doi:10.1111/phn.12223

Lindley MC, Jeyarajah J, Yankey D, Curtis CR, Markowitz LE, Stokley S. Comparing human 

papillomavirus vaccine knowledge and intentions among parents of boys and girls. Hum Vaccin 

Immunother. 2016;12(6):1519-1527. doi:10.1080/21645515.2016.1157673 

Mohammed KA, Geneus CJ, Osazuwa-Peters N, Adjei Boakye E, Tobo BB, Burroughs TE. Disparities in 

Provider Recommendation of Human Papillomavirus Vaccination for U.S. Adolescents. J Adolesc 

Health. 2016;59(5):592-598. doi:10.1016/j.jadohealth.2016.06.005 

Moss JL, Gilkey MB, Rimer BK, Brewer NT. Disparities in collaborative patient-provider 

communication about human papillomavirus (HPV) vaccination. Hum Vaccin Immunother. 

2016;12(6):1476-1483. doi:10.1080/21645515.2015.1128601 

Moss JL, Reiter PL, Brewer NT. Concomitant Adolescent Vaccination in the U.S., 2007-2012. Am J Prev 

Med. 2016;51(5):693-705. doi:10.1016/j.amepre.2016.05.013

Moss JL, Reiter PL, Rimer BK, Brewer NT. Collaborative patient-provider communication and uptake of 

adolescent vaccines. Soc Sci Med. 2016;159:100-107. doi:10.1016/j.socscimed.2016.04.030

Moss JL, Reiter PL, Rimer BK, Ribisl KM, Brewer NT. Summer Peaks in Uptake of Human 

Papillomavirus and Other Adolescent Vaccines in the United States. Cancer Epidemiol Biomarkers Prev. 

2016;25(2):274-281. doi:10.1158/1055-9965.EPI-15-0574 

Moss JL, Reiter PL, Truong YK, Rimer BK, Brewer NT. School Entry Requirements and Coverage of 

Nontargeted Adolescent Vaccines. Pediatrics. 2016;138(6):e20161414. doi:10.1542/peds.2016-1414 

Perkins RB, Lin M, Wallington SF, Hanchate AD. Impact of school-entry and education mandates by 

states on HPV vaccination coverage: Analysis of the 2009-2013 National Immunization Survey-Teen. 

Hum Vaccin Immunother. 2016;12(6):1615-1622. doi:10.1080/21645515.2016.1150394 

Reagan-Steiner S, Yankey D, Jeyarajah J, et al. National, Regional, State, and Selected Local Area 

Vaccination Coverage Among Adolescents Aged 13-17 Years - United States, 2015. MMWR Morb 

Mortal Wkly Rep. 2016;65(33):850-858. Published 2016 Aug 26. doi:10.15585/mmwr.mm6533a4 

Setse RW, Siberry GK, Moss WJ, et al. Meningococcal Conjugate and Tetanus Toxoid, Reduced 

Diphtheria Toxoid and Acellular Pertussis Vaccination Among HIV-infected Youth. Pediatr Infect Dis J. 

2016;35(5):e152-e157. doi:10.1097/INF.0000000000001078
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 83 

Smith PJ, Stokley S, Bednarczyk RA, Orenstein WA, Omer SB. HPV vaccination coverage of teen girls: 

the influence of health care providers. Vaccine. 2016;34(13):1604-1610. 

doi:10.1016/j.vaccine.2016.01.061 

Trogdon JG, Shafer PR, Shah PD, Calo WA. Are state laws granting pharmacists authority to vaccinate 

associated with HPV vaccination rates among adolescents?. Vaccine. 2016;34(38):4514-4519. 

doi:10.1016/j.vaccine.2016.07.056 

2015 

Jacobson RM, Rogacki B, Thompson DM, Roberts JR, Margolis B, Darden PM. Vaccination Rates 

among Adolescents in Minnesota as Compared with the United States: Not "Above Average". Minn Med. 

2015;98(11-12):38-43. 

Kepka D, Ding Q, Warner EL, Spigarelli MG, Mooney K. High school females and those with other 

vaccinations most likely to complete the Human Papillomavirus vaccine. Prev Med Rep. 2015;2:79-83. 

Published 2015 Jan 6. doi:10.1016/j.pmedr.2014.12.008

Lu PJ, Yankey D, Jeyarajah J, et al. Hepatitis B vaccination among adolescents 13-17 years, United 

States, 2006-2012. Vaccine. 2015;33(15):1855-1864. doi:10.1016/j.vaccine.2015.02.021

Lu PJ, Yankey D, Jeyarajah J, et al. HPV Vaccination Coverage of Male Adolescents in the United States. 

Pediatrics. 2015;136(5):839-849. doi:10.1542/peds.2015-1631 

Perkins RB, Lin M, Silliman RA, Clark JA, Hanchate A. Why are U.S. girls getting meningococcal but 

not human papilloma virus vaccines? Comparison of factors associated with human papilloma virus and 

meningococcal vaccination among adolescent girls 2008 to 2012. Womens Health Issues. 2015;25(2):97-

104. doi:10.1016/j.whi.2014.12.005 

Rahman M, Laz TH, McGrath CJ, Berenson AB. Provider recommendation mediates the relationship 

between parental human papillomavirus (HPV) vaccine awareness and HPV vaccine initiation and 

completion among 13- to 17-year-old U.S. adolescent children. Clin Pediatr (Phila). 2015;54(4):371-375. 

doi:10.1177/0009922814551135 

Rahman M, McGrath CJ, Hirth JM, Berenson AB. Age at HPV vaccine initiation and completion among 

US adolescent girls: trend from 2008 to 2012. Vaccine. 2015;33(5):585-587. 

doi:10.1016/j.vaccine.2014.12.021 

Reagan-Steiner S, Yankey D, Jeyarajah J, et al. National, Regional, State, and Selected Local Area 

Vaccination Coverage Among Adolescents Aged 13-17 Years--United States, 2014. MMWR Morb 

Mortal Wkly Rep. 2015;64(29):784-792. doi:10.15585/mmwr.mm6429a3

Roberts JR, Naifeh M, Jacobson RM, et al. Adolescent Vaccination Performance in South Carolina 

Compared to the United States. J S C Med Assoc. 2015;111(4):117-121. 

Smith PJ, Marcuse EK, Seward JF, Zhao Z, Orenstein WA. Children and Adolescents Unvaccinated 

Against Measles: Geographic Clustering, Parents' Beliefs, and Missed Opportunities. Public Health Rep. 

2015;130(5):485-504. doi:10.1177/003335491513000512 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 84 

2014 

Attanasio L, McAlpine D. Accuracy of parental reports of children's HPV vaccine status: implications for 

estimates of disparities, 2009-2010. Public Health Rep. 2014;129(3):237-244. 

doi:10.1177/003335491412900305 

Bednarczyk RA, Curran EA, Orenstein WA, Omer SB. Health disparities in human papillomavirus 

vaccine coverage: trends analysis from the National Immunization Survey-Teen, 2008-2011. Clin Infect 

Dis. 2014;58(2):238-241. doi:10.1093/cid/cit707 

Burdette AM, Gordon-Jokinen H, Hill TD. Social determinants of HPV vaccination delay rationales: 

Evidence from the 2011 National Immunization Survey-Teen. Prev Med Rep. 2014;1:21-26. Published 

2014 Oct 2. doi:10.1016/j.pmedr.2014.09.003 

Curtis CR, Dorell C, Yankey D, et al. National human papillomavirus vaccination coverage among 

adolescents aged 13-17 years-National Immunization Survey--teen, United States, 2011. MMWR Suppl. 

2014;63(2):61-70. 

Dorell C, Yankey D, Jeyarajah J, et al. Delay and refusal of human papillomavirus vaccine for girls, 

national immunization survey-teen, 2010. Clin Pediatr (Phila). 2014;53(3):261-269. 

doi:10.1177/0009922813520070 

Elam-Evans LD, Yankey D, Jeyarajah J, et al. National, regional, state, and selected local area 

vaccination coverage among adolescents aged 13-17 years--United States, 2013. MMWR Morb Mortal 

Wkly Rep. 2014;63(29):625-633. 

Gilkey MB, Magnus BE, Reiter PL, McRee AL, Dempsey AF, Brewer NT. The Vaccination Confidence 

Scale: a brief measure of parents' vaccination beliefs. Vaccine. 2014;32(47):6259-6265. 

doi:10.1016/j.vaccine.2014.09.007 

Johnson NB, Hayes LD, Brown K, Hoo EC, Ethier KA; Centers for Disease Control and Prevention 

(CDC). CDC National Health Report: leading causes of morbidity and mortality and associated 

behavioral risk and protective factors--United States, 2005-2013. MMWR Suppl. 2014;63(4):3-27. 

Myers J. Kentucky's improvement in administering Tdap for adolescents: The National Immunization 

Survey-Teen 2008-2012. Ky Nurse. 2014;62(4):8. 

Naifeh MM, Roberts JR, Margolis B, et al. Adolescent vaccination in Oklahoma: a work in progress. J 

Okla State Med Assoc. 2014;107(9-10):510-516. 

Rahman M, McGrath CJ, Berenson AB. Geographic variation in human papillomavirus vaccination 

uptake among 13-17 year old adolescent girls in the United States. Vaccine. 2014;32(21):2394-2398. 

doi:10.1016/j.vaccine.2014.02.097 

Reiter PL, Brewer NT, Gilkey MB, Katz ML, Paskett ED, Smith JS. Early adoption of the human 

papillomavirus vaccine among Hispanic adolescent males in the United States. Cancer. 

2014;120(20):3200-3207. doi:10.1002/cncr.28871

Reiter PL, Gupta K, Brewer NT, et al. Provider-verified HPV vaccine coverage among a national sample 

of Hispanic adolescent females. Cancer Epidemiol Biomarkers Prev. 2014;23(5):742-754. 

doi:10.1158/1055-9965.EPI-13-0979 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 85 

Stokley S, Jeyarajah J, Yankey D, et al. Human papillomavirus vaccination coverage among adolescents, 

2007-2013, and postlicensure vaccine safety monitoring, 2006-2014--United States. MMWR Morb 

Mortal Wkly Rep. 2014;63(29):620-624. 

2013 

Centers for Disease Control and Prevention (CDC). Human papillomavirus vaccination coverage among 

adolescent girls, 2007-2012, and postlicensure vaccine safety monitoring, 2006-2013 - United States. 

MMWR Morb Mortal Wkly Rep. 2013;62(29):591-595. 

Centers for Disease Control and Prevention (CDC). National and state vaccination coverage among 

adolescents aged 13-17 years--United States, 2012. MMWR Morb Mortal Wkly Rep. 2013;62(34):685-

693. 

Darden PM, Thompson DM, Roberts JR, et al. Reasons for not vaccinating adolescents: National 

Immunization Survey of Teens, 2008-2010. Pediatrics. 2013;131(4):645-651. doi:10.1542/peds.2012-

2384 

Dorell C, Yankey D, Kennedy A, Stokley S. Factors that influence parental vaccination decisions for 

adolescents, 13 to 17 years old: National Immunization Survey-Teen, 2010. Clin Pediatr (Phila). 

2013;52(2):162-170. doi:10.1177/0009922812468208 

Kawai K, O'Brien MA, Conway JH, Marshall GS, Kuter BJ. Factors associated with receipt of two doses 

of varicella vaccine among adolescents in the United States. Pediatr Infect Dis J. 2013;32(5):538-542. 

doi:10.1097/INF.0b013e31827f4c3c 

Ojha RP, Tota JE, Offutt-Powell TN, Klosky JL, Ashokkumar R, Gurney JG. The accuracy of human 

papillomavirus vaccination status based on adult proxy recall or household immunization records for 

adolescent females in the United States: results from the National Immunization Survey-Teen. Ann 

Epidemiol. 2013;23(5):281-285. doi:10.1016/j.annepidem.2013.02.002 

Polonijo AN, Carpiano RM. Social inequalities in adolescent human papillomavirus (HPV) vaccination: a 

test of fundamental cause theory. Soc Sci Med. 2013;82:115-125. doi:10.1016/j.socscimed.2012.12.020

Reiter PL, Gilkey MB, Brewer NT. HPV vaccination among adolescent males: results from the National 

Immunization Survey-Teen. Vaccine. 2013;31(26):2816-2821. doi:10.1016/j.vaccine.2013.04.010 

Reiter PL, Katz ML, Paskett ED. Correlates of HPV vaccination among adolescent females from 

Appalachia and reasons why their parents do not intend to vaccinate. Vaccine. 2013;31(31):3121-3125. 

doi:10.1016/j.vaccine.2013.04.068 

Ylitalo KR, Lee H, Mehta NK. Health care provider recommendation, human papillomavirus vaccination, 

and race/ethnicity in the US National Immunization Survey. Am J Public Health. 2013;103(1):164-169. 

doi:10.2105/AJPH.2011.300600 

2012 

Bugenske E, Stokley S, Kennedy A, Dorell C. Middle school vaccination requirements and adolescent 

vaccination coverage. Pediatrics. 2012;129(6):1056-1063. doi:10.1542/peds.2011-2641 

Centers for Disease Control and Prevention (CDC). National and state vaccination coverage among 

adolescents aged 13-17 years--United States, 2011 [published correction appears in MMWR Morb Mortal 

Wkly Rep. 2012 Oct 19;61(41):844]. MMWR Morb Mortal Wkly Rep. 2012;61(34):671-677. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 86 

Dorell CG, Stokley S, Yankey D, Markowitz LE. Compliance with recommended dosing intervals for 

HPV vaccination among females, 13-17 years, National Immunization Survey-Teen, 2008-2009. Vaccine. 

2012;30(3):503-505. doi:10.1016/j.vaccine.2011.11.042 

Dorell CG, Yankey D, Byrd KK, Murphy TV. Hepatitis a vaccination coverage among adolescents in the 

United States. Pediatrics. 2012;129(2):213-221. doi:10.1542/peds.2011-2197 

Gowda C, Dempsey AF. Medicaid reimbursement and the uptake of adolescent vaccines. Vaccine. 

2012;30(9):1682-1689. doi:10.1016/j.vaccine.2011.12.097 

Lu PJ, Dorell C, Yankey D, Santibanez TA, Singleton JA. A comparison of parent and provider reported 

influenza vaccination status of adolescents. Vaccine. 2012;30(22):3278-3285. 

doi:10.1016/j.vaccine.2012.03.015 

Reiter PL, Katz ML, Paskett ED. HPV vaccination among adolescent females from Appalachia: 

implications for cervical cancer disparities. Cancer Epidemiol Biomarkers Prev. 2012;21(12):2220-2230. 

doi:10.1158/1055-9965.EPI-12-0850 

2011 

Centers for Disease Control and Prevention (CDC). National and state vaccination coverage among 

adolescents aged 13 through 17 years--United States, 2010. MMWR Morb Mortal Wkly Rep. 

2011;60(33):1117-1123. 

Dorell CG, Jain N, Yankey D. Validity of parent-reported vaccination status for adolescents aged 13-17 

years: National Immunization Survey-Teen, 2008. Public Health Rep. 2011;126 Suppl 2(Suppl 2):60-69. 

doi:10.1177/00333549111260S208 

Dorell CG, Yankey D, Santibanez TA, Markowitz LE. Human papillomavirus vaccination series initiation 

and completion, 2008-2009 [published correction appears in Pediatrics. 2012 Jul;130(1):166-8. Dosage 

error in article text]. Pediatrics. 2011;128(5):830-839. doi:10.1542/peds.2011-0950 

Dorell C, Yankey D, Strasser S. Parent-reported reasons for nonreceipt of recommended adolescent 

vaccinations, national immunization survey: teen, 2009. Clin Pediatr (Phila). 2011;50(12):1116-1124. 

doi:10.1177/0009922811415104 

Lindley MC, Smith PJ, Rodewald LE. Vaccination coverage among U.S. adolescents aged 13-17 years 

eligible for the Vaccines for Children program, 2009. Public Health Rep. 2011;126 Suppl 2(Suppl 2):124-

134. doi:10.1177/00333549111260S214 

Niccolai LM, Mehta NR, Hadler JL. Racial/Ethnic and poverty disparities in human papillomavirus 

vaccination completion. Am J Prev Med. 2011;41(4):428-433. doi:10.1016/j.amepre.2011.06.032 

Stokley S, Cohn A, Dorell C, et al. Adolescent vaccination-coverage levels in the United States: 2006-

2009. Pediatrics. 2011;128(6):1078-1086. doi:10.1542/peds.2011-1048 

Stokley S, Cohn A, Jain N, McCauley MM. Compliance with recommendations and opportunities for 

vaccination at ages 11 to 12 years: evaluation of the 2009 national immunization survey-teen. Arch 

Pediatr Adolesc Med. 2011;165(9):813-818. doi:10.1001/archpediatrics.2011.138 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 87 

2010 

Centers for Disease Control and Prevention (CDC). National, state, and local area vaccination coverage 

among adolescents aged 13-17 years --- United States, 2009. MMWR Morb Mortal Wkly Rep. 

2010;59(32):1018-1023. 

Jain N, Stokley S, Cohn A. Receipt of tetanus-containing vaccinations among adolescents aged 13 to 17 

years in the United States: National Immunization Survey-Teen 2007. Clin Ther. 2010;32(8):1468-1478. 

doi:10.1016/j.clinthera.2010.07.016 

Lu PJ, Jain N, Cohn AC. Meningococcal conjugate vaccination among adolescents aged 13-17 years, 

United States, 2007. Vaccine. 2010;28(11):2350-2355. doi:10.1016/j.vaccine.2009.12.032 

2009 

Centers for Disease Control and Prevention (CDC). National, state, and local area vaccination coverage 

among adolescents aged 13-17 years--United States, 2008. MMWR Morb Mortal Wkly Rep. 

2009;58(36):997-1001. 

Jain N, Hennessey K. Hepatitis B vaccination coverage among U.S. adolescents, National Immunization 

Survey-Teen, 2006. J Adolesc Health. 2009;44(6):561-567. doi:10.1016/j.jadohealth.2008.10.143 

Smith PJ, Lindley MC, Shefer A, Rodewald LE. Underinsurance and adolescent immunization delivery in 

the United States. Pediatrics. 2009;124 Suppl 5:S515-S521. doi:10.1542/peds.2009-1542K 

2008 

Centers for Disease Control and Prevention (CDC). Vaccination coverage among adolescents aged 13-17 

years - United States, 2007 [published correction appears in MMWR Morb Mortal Wkly Rep. 2009 Jan 

16;58(1):10]. MMWR Morb Mortal Wkly Rep. 2008;57(40):1100-1103. 

2007 

Centers for Disease Control and Prevention (CDC). National vaccination coverage among adolescents 

aged 13-17 years--United States, 2006. MMWR Morb Mortal Wkly Rep. 2007;56(34):885-888. 
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 88 

13. References

American Association for Public Opinion Research (2016). Standard Definitions: Final Dispositions of 

Case Codes and Outcome Rates for Surveys. 9th edition. https://aapor.org/wpcontent/uploads/2022/11/Standard-Definitions20169theditionfinal.pdf

Bartlett, D. L., Ezzati-Rice, T. M., Stokley, S., & Zhao, Z. (2001). Comparison of NIS and 

NHIS/NIPRCS vaccination coverage estimates. National Immunization Survey. National Health 

Interview Survey/National Immunization Provider Record Check Study. American Journal of Preventive 

Medicine, 20(4 Suppl), 25–27. https://doi.org/10.1016/s0749-3797(01)00284-7

Blumberg, S. J. and Luke, J. V. (2023). Wireless substitution: Early release of estimates from the National 

Health Interview Survey, July-December 2022. National Center for Health Statistics. 

https://www.cdc.gov/nchs/data/nhis/earlyrelease/wireless202305.pdf 

Blumberg, S. J., Luke, J. V., Ganesh, N., Davern, M. E., Boudreaux, M. H., and Soderberg, K. (2011). 

Wireless substitution: State-level estimates from the National Health Interview Survey, January 2007–

June 2011. National Center for Health Statistics. http://www.cdc.gov/nchs/data/nhsr/nhsr039.pdf

Brick, J. M. and Kalton, G. (1996). Handling missing data in survey research. Statistical Methods in 

Medical Research, 5(3):215–238. https://doi.org/10.1177/096228029600500302

Centers for Disease Control and Prevention (CDC) (1994). Reported vaccine-preventable diseases - 

United States, 1993, and the childhood immunization initiative. MMWR, 43(4):57-60. 

https://www.cdc.gov/mmwr/preview/mmwrhtml/00023738.htm

Centers for Disease Control and Prevention (CDC) (2002). National Immunization Survey: Guide to 

Quality Control Procedures. http://www.cdc.gov/nchs/data/nis/qcman.pdf 

Centers for Disease Control and Prevention (CDC) (2015a). National Immunization Survey-Teen: A 

User’s Guide for the 2014 Public-Use Data File.

https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NIS/NISTEENPUF14_DUG.pdf

Centers for Disease Control and Prevention (CDC) (2015b). NIS-Teen: Revised Definition of Adequate 

Provider Data (APD). https://www.cdc.gov/vaccines/imz-managers/coverage/nis/teen/apd-report.html

Centers for Disease Control and Prevention (CDC) (2023). Error profile for the 2022 NIS-Teen: National 

Immunization Survey. Atlanta, GA: US Department of Health and Human Services, CDC; 

2023. https://www.cdc.gov/vaccines/imz-managers/coverage/teenvaxview/downloads/error-profile-2022-

nis-teen.pdf

Coronado, V. G., Maes, E. F., Rodewald, L. E., Chu, S., Battaglia, M. P., Hoaglin, D. C., Merced, N. L., 

Yusuf, H., Cordero, J. F., and Orenstein, W. A. (2000). Risk factors for underimmunization among 19-35 

month-old children in the United States: National Immunization Survey, July 1996-June 1998. 

Unpublished manuscript, Centers for Disease Control and Prevention, Atlanta. 

Council of American Survey Research Organizations (CASRO) (1982). On the Definition of Response 

Rates: A Special Report of the CASRO Task Force on Completion Rates. Council of American Survey 

Research Organizations.
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 89 

Deming, W. E. (1943). Statistical Adjustment of Data. New York: Wiley.

Dorell, C., Jain, N., and Yankey, D. (2011). Validity of parent-reported vaccination status for adolescents 

aged 13-17 years: National Immunization Survey-Teen, 2008. Public Health Reports, 126(Suppl 2), 60-

69. https://doi.org/10.1177/00333549111260S208

Ezzati-Rice, T. M., Zell, E. R., Battaglia, M. P., Ching, P. L. Y. H., and Wright, R. A. (1995). The design 

of the National Immunization Survey. 1995 Proceedings of the Section on Survey Research Methods,

Alexandria, VA: American Statistical Association, 668-672. 

https://www.cdc.gov/nchs/data/nis/sample_design/ezzati1995.pdf

Ford, B. L. (1983). An overview of hot-deck procedures, in: Incomplete data in sample surveys, Madow 

W. G., Olkin I., Rubin D. B. (Eds.), Academic Press, New York, pp. 185-207. 

Gillespie, K. (2018). Adolescent vaccination coverage in Kansas, an analysis of BRFSS Surveys 2011-

2016. Kansas Department of Health and Environment, Topeka, KS. 

https://www.kdheks.gov/immunize/download/BRFSS_Adolescent_Coverage_2016.pdf 

Jain, N., Singleton, J., Montgomery, M., and Skalland, B. (2009). Determining accurate vaccination 

coverage rates for adolescents: The National Immunization Survey-Teen 2006. Public Health Reports, 

124(5): 642-651. https://doi.org/10.1177/003335490912400506

Khare, M., Battaglia, M. P., Huggins, V. J., Stokley, S., Hoaglin, D. C., Wright, R. A., and Rodén, A. S. 

(2000). Accuracy of vaccination dates reported by immunization providers in the National Immunization 

Survey. 2000 Proceedings of the Section on Survey Research Methods. Alexandria, VA: American 

Statistical Association, 665-670. https://www.cdc.gov/nchs/data/nis/data_collection/khare2000.pdf

Khare, M., Battaglia, M. P., Stokley, S., Wright, R. A., and Huggins, V. J. (2001). Quality of 

immunization histories reported in the National Immunization Survey. Proceedings of the International 

Conference on Quality in Official Statistics (CD-ROM). Stockholm: Statistics Sweden.

Lumley, T. (2010). Survey Analysis in R. http://r-survey.r-forge.r-project.org/survey/index.html

Machado, F. R. (2017). Georgia Adolescent Immunization Study 2017, edited by Tuttle, J., Drenzek, C., 

and Lovett, S. Georgia Department of Public Health, Immunization Program / Acute Disease 

Epidemiology Section, Atlanta, GA. Available at: 

https://dph.georgia.gov/sites/dph.georgia.gov/files/Adolescent%20Immunization%20Study%202017%20

Final%20Report_Georgia.pdf

Machado, F. R. (2018). Georgia Adolescent Immunization Study 2018, edited by Tuttle, J., Drenzek, C., 

and Lovett, S. Georgia Department of Public Health, Immunization Program / Acute Disease 

Epidemiology Section, Atlanta, GA. 

https://dph.georgia.gov/sites/dph.georgia.gov/files/Immunizations/2018%20GAIS%20final_web.pdf

Meites, E., Kempe, A., and Markowitz, L. E. (2016). Use of a 2-dose schedule for human papillomavirus 

vaccination — Updated recommendations of the Advisory Committee on Immunization Practices. 

MMWR, 65(49), 1405-1408. https://doi.org/10.15585/mmwr.mm6549a5

Molinari, N., Wolter, K., Skalland, B., Montgomery, R., Khare, M., Smith, P., and Singleton, J. (2011). 

Quanitfying bias in a health survey: Modeling total survey error in the National Immunization Survey. 

Statistics in Medicine, 30, 505-515. https://doi.org/10.1002/sim.3911
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 90 

Mulry, M. H. and Spencer, B. C. (1991). Total error in PES estimates of population. Journal of the 

American Statistical Association, 86(416), 839-863. https://doi.org/10.1080/01621459.1991.10475122

National Center for Health Statistics (NCHS) (1999). National Health Interview Survey: Research for the 

1995-2004 redesign. Vital and Health Statistics, Series 2, Data Evaluation and Methods Research (126), 

1-119. https://www.cdc.gov/nchs/data/series/sr_02/sr02_126.pdf

National Center for Immunization and Respiratory Diseases (NCIRD) (2023). National Immunization 

Survey - Teen 2022 Public-Use Data File: Documentation, Codebook and Frequencies. Atlanta, GA. 

Available at: https://www.cdc.gov/vaccines/imz-managers/nis/datasets-teen.html

Nguyen, K. H., Singleton, J., Elam-Evans, L. D., Hill, H. A., Walker, T., Yankey, D., et al. (2019). 

Impact of a methodological change from a dual-frame landline and cell-phone sample design to a singleframe cell-phone sample design on vaccination coverage estimates among adolescents 13-17 years, 

National Immunization Survey-Teen, 2016-2017. Centers for Disease Control and Prevention. Available 

at: https://www.cdc.gov/vaccines/imz-managers/coverage/teenvaxview/pubs-presentations/dual-to-singleframe-teen.html

NORC at the University of Chicago (NORC) (2011). Modeling Total Survey Error in the 2009 and 2010 

NIS: Young Children and Teens. Report submitted to the Centers for Disease Control and Prevention. 

Chicago, IL: NORC.

Ojha, R. P., Tota, J. E., Offut-Powell, T. N., Kloskey, J. L., Ashokkumar, R., and Gurney, J. G. (2013). 

The accuracy of human papillomavirus vaccination status based on adult proxy recall or household 

immunization records for adolescent females in the United States: results from the National Immunization 

Survey-Teen. Annals of Epidemiology, 23(5), 281-285. 

Pineau, V., Wolter, K., Skalland, B., Zeng, W., Zhao, Z., and Khare, M. (2012). Modeling Total Survey 

Error in the 2010 National Immunization Survey (NIS): Pre-School Children and Teens. Presented at the 

2012 American Statistical Association (ASA) Joint Statistical Meetings, San Diego, CA. 

Pineau, V., Wolter, K., Skalland, B., Zeng, W., Black, C., Dorell, C., Khare, M., and Yankey, D. (2013). 

Modeling Total Surey Error in the 2011 National Immunization Survey (NIS): Pre-School Children and 

Teens. Presented at the 2013 American Statistical Association (ASA) Joint Statistical Meetings, Montreal, 

Canada. https://www.cdc.gov/vaccines/imz-managers/coverage/downloads/total-survey-error.pdf

Research Triangle Institute (2008). SUDAAN Language Manual, Release 9.0. Research Triangle Park, 

NC: Research Triangle Institute.

Rosenbaum, P.R. (1987). Model-based direct adjustment. Journal of the American Statistical Association, 

82, 387-394. https://doi.org/10.1080/01621459.1987.10478441

Rosenbaum, P.R. and Rubin, D.B. (1983). The central role of the propensity score in observational 

studies for causal effects. Biometrika, 70(1), 41-55. https://doi.org/10.1093/biomet/70.1.41

Rosenbaum, P.R. and Rubin, D.B. (1984). Reducing bias in observational studies using subclassification 

on the propensity score. Journal of the American Statistical Association, 79(387), 516-534. 

https://doi.org/10.1080/01621459.1984.10478078

SAS Institute Inc. (2009). SAS/STAT 9.2 User’s Guide, Second Edition. Cary, NC: SAS Institute Inc. 

https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm
Data User’s Guide for the 2022 NIS-Teen Public-Use Data File Page 91 

Skalland, B., Wolter, K., Ma, Q., Pineau, V., Singleton, J., Yankey, D., and Smith, P. (2016). A total 

survey error framework and assessment for the 2013 National Immunization Survey. Presented at the 

International Total Survey Error Workshop, Sydney, Australia, October, 2016. 

Smith, P. J., Battaglia, M. P., Huggins, V. J., Hoaglin, D. C., Rodén, A. S., Khare, M., Ezzati-Rice, T. M., 

and Wright, R. A. (2001a). Overview of the sampling design and statistical methods used in the National 

Immunization Survey. American Journal of Preventive Medicine, 20(4 Suppl), 17-24. 

https://doi.org/10.1016/s0749-3797(01)00285-9

Smith, P. J., Rao, J. N. K., Battaglia, M. P., Ezzati-Rice, T. M., Daniels, D., and Khare, M. (2001b). 

Compensating for provider non-response using response propensities to form adjustment cells: The 

National Immunization Survey. Vital and Health Statistics, Series 2, Data Evaluation and Methods 

Research, 133, 1-17. 

Smith, P. J., Hoaglin, D. C., Battaglia, M. P., Khare, M., and Barker, L. E. (2005). Statistical 

Methodology of the National Immunization Survey: 1994-2002. Vital and Health Statistics, Series 2, Data 

Evaluation and Methods Research (138), 1-64. https://www.cdc.gov/nchs/data/series/sr_02/sr02_138.pdf

StataCorp (2009). Stata Statistical Software: Release 9. College Station, TX: StataCorp LP. 

Walker, T. Y., Elam-Evans, L. D., Singleton, J. A., Yankey, D., Markowitz, L. E., Fredua, B., et al. 

(2018). National, regional, state, and selected local area vaccination coverage among adolescents aged 

13–17 years — United States, 2017. MMWR, 67(33), 909-917. 

https://doi.org/10.15585/mmwr.mm6733a1

Wall, T. P., Kochanek, K. M., Fitti, J. E., and Zell, E. R. (1995). The use of real time translation services 

in RDD telephone surveys. Presented at the 1995 Conference of the American Association for Public 

Opinion Research, Fort Lauderdale, FL. 

Wodi, A. P., Murthy, N., Bernstein, H., McNally, V., Cineas, S., and Ault, K. (2022). Advisory 

committee on immunization practices recommended immunization schedule for children and adolescents

aged 18 years or younger – United States, 2022. MMWR, 71(7):234-237. 

http://dx.doi.org/10.15585/mmwr.mm7107a2

Wolter, K., Smith, P., Khare, M., Welch, B., Copeland, K., Pineau, V., and Davis, N. (2017a). Statistical 

methodology of the National Immunization Survey, 2005-2014. Vital Health Statistics, Series 1, 

Programs and Collection Procedures, (61), 1-107. 

Wolter, K., Pineau, V., Skalland, B., Zeng, W., Singleton, J., Khare, M., Zhao, Z., Yankey, D., and Smith, 

P. (2017b). Total survey error assessment for socio-demographic subgroups in the 2012 U.S. National 

Immunization Survey. In Biemer, P., De Leeuw, E., Edwards, B., Kreuter, F., Lyberg, L., Tucker, C., and 

West, B. (Eds.) Total Survey Error in Practice, John Wiley & Sons, Inc., Hoboken, NJ, USA. 

Yankey D., Hill H. A., Elam-Evans L. D., et al. (2015). Estimating change in telephone survey bias in an 

era of declining response rates and transition to wireless telephones—evidence from the National 

Immunization Survey (NIS), 1995–2013. Presented at the 2015 American Association for Public Opinion 

Research (AAPOR) 70th Annual Conference, Hollywood, FL; May 14–17, 2015. 

Zell, E. R., Ezzati-Rice, T. M., Battaglia, M. P., and Wright, R. A. (2000). National Immunization 

Survey: The methodology of a vaccination surveillance system. Public Health Reports, 115(1), 65-77. 

https://doi.org/10.1093/phr/115.1.65
Glossary of Abbreviations and Terms APPENDIX A 

92

Appendix A: Glossary of Abbreviations and Terms

1:3:2:1 The series of 1 or more Td/Tdap vaccinations, 3 or more Hep B vaccinations (or 2 or 

more Hep B 1.0 ml Recombivax vaccinations), 2 or more MMR vaccinations, and 1 or 

more VAR vaccinations (or a history of chicken pox disease) 

1:3:2:1:2 The series of 1 or more Td/Tdap vaccinations, 3 or more Hep B vaccinations (or 2 or 

more Hep B 1.0 ml Recombivax vaccinations), 2 or more MMR vaccinations, 1 or more 

MEN vaccinations, and 2 or more VAR vaccinations (or a history of chicken pox disease) 

1:1:3 The series of 1 or more Tdap vaccinations at or after age 10 years, 1 or more MenACWY 

vaccinations and 3 or more HPV vaccinations prior to age 13 years. 

AAPOR American Association for Public Opinion Research

ACS American Community Survey 

APCN Active Personal Cellular Phone Number 

CASRO Council of American Survey Research Organizations 

CATI Computer-assisted telephone interviewing

CDC Centers for Disease Control and Prevention

CII Childhood Immunization Initiative 

CPS Current Population Survey 

DHHS U.S. Department of Health and Human Services 

DOB Date of birth

FLU Seasonal influenza vaccine 

H1N1 Monovalent 2009 H1N1 Influenza Vaccine 

Hep A Hepatitis A vaccine

Hep B Hepatitis B vaccine

HIM Health insurance module 

HPV Human papillomavirus 

IAP Immunization Action Plan

IHQ Immunization history questionnaire 

MCV Measles-containing vaccine 

MenACWY Quadrivalent meningococcal conjugate vaccine 

MenB Serogroup B meningococcal vaccine
Glossary of Abbreviations and Terms APPENDIX A 

93

MPSV4 Quadrivalent meningococcal polysaccharide vaccine

MEN Meningococcal vaccine

MMR Measles, mumps, and rubella vaccine

MSA Metropolitan Statistical Area

NCHS National Center for Health Statistics

NCIRD National Center for Immunization and Respiratory Diseases

NIPRCS National Immunization Provider Record Check Study 

NIS National Immunization Survey

NIS-Child National Immunization Survey - Child

NIS-Teen National Immunization Survey - Teen

NHIS National Health Interview Survey

NIP National Immunization Program

PRC Provider Record Check 

PUF Public-use data file

PUMS Public-Use Microdata Sample

RDD Random digit dialing

SC Shot card 

Td Tetanus and diphtheria toxoids adsorbed 

Tdap Tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis vaccine, adsorbed 

UTD Up-to-date 

WRN Working Residential Number

VFC Vaccines for Children program

VAR Varicella vaccine
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

94

Appendix B: Summary Statistics for Sampling Weights by 

Estimation Area

Table B.1: Distribution of Sampling Weights* for Teens with Completed Household Interviews, 

National Immunization Survey - Teen, 2022 

State/Estimation Area n Sum§ Minimum Maximum Mean

Coefficient 

of Variation

U.S. National† 41,325 21,831,327.31 1.77 9,181.37 528.28 145.55

Alabama 756 333,290.99 61.92 1,264.55 440.86 61.96

Alaska 550 48,430.99 11.33 262.76 88.06 67.81

Arizona 798 491,381.61 9.75 2,068.31 615.77 71.55

Arkansas 785 208,990.00 51.31 821.69 266.23 68.61

California 982 2,599,903.88 14.16 9,181.37 2,647.56 78.97

Colorado 770 374,085.89 6.44 1,382.78 485.83 64.13

Connecticut 654 224,624.03 11.11 1,131.60 343.46 79.53

Delaware 665 60,306.55 25.25 282.66 90.69 62.61

District of Columbia 653 28,640.84 4.59 132.80 43.86 84.33

Florida 912 1,285,015.07 13.59 5,598.45 1,409.01 98.13

Georgia 839 767,112.10 5.21 3,074.87 914.32 83.09

Hawaii 647 81,267.05 14.79 373.27 125.61 55.73

Idaho 542 145,072.96 11.71 812.33 267.66 68.19

Illinois 1,710 838,318.23 18.85 2,235.11 490.24 94.64

 IL-City of Chicago 713 151,184.73 18.85 751.14 212.04 81.36

 IL-Rest of State 997 687,133.49 22.11 2,235.11 689.20 72.99

Indiana 690 469,278.13 21.72 1,996.37 680.11 59.82

Iowa 458 218,107.96 20.29 1,398.94 476.22 65.48

Kansas 759 208,564.16 19.57 883.09 274.79 70.48

Kentucky 688 298,538.63 53.41 1,388.13 433.92 66.25

Louisiana 898 314,593.07 25.63 1,202.72 350.33 77.33

Maine 612 77,277.00 11.07 353.42 126.27 57.73

Maryland 864 398,807.86 10.67 2,006.41 461.58 120.92

Massachusetts 698 408,246.40 7.22 1,973.54 584.88 77.64

Michigan 621 641,303.97 12.53 3,244.45 1,032.70 70.88

Minnesota 799 389,121.75 12.92 1,498.51 487.01 64.86

Mississippi 706 210,561.99 25.21 988.37 298.25 68.66

Missouri 735 411,320.33 15.96 1,862.97 559.62 68.71

Montana 685 69,922.49 20.73 298.80 102.08 57.90

Nebraska 571 140,984.19 21.82 731.18 246.91 62.61

Nevada 794 208,790.14 9.92 814.45 262.96 73.75

New Hampshire 566 79,580.55 20.38 414.08 140.60 61.02

New Jersey 880 601,028.99 12.91 2,119.82 682.99 73.22

New Mexico 633 144,285.11 6.13 682.46 227.94 64.22

New York 1,466 1,165,589.62 8.61 2,500.57 795.08 66.16

 NY-City of New York 632 466,032.98 11.74 2,330.84 737.39 70.09

 NY-Rest of State 834 699,556.64 8.61 2,500.57 838.80 63.08

North Carolina 878 695,008.56 11.03 2,773.26 791.58 75.47

North Dakota 635 50,949.96 8.67 272.02 80.24 77.72

Ohio 650 769,147.94 12.85 4,155.80 1,183.30 77.43

Oklahoma 655 283,129.97 34.52 1,374.19 432.26 65.90

Oregon 659 258,747.55 13.21 1,173.95 392.64 64.93

Pennsylvania 2,017 796,452.87 19.47 1,851.39 394.87 92.72

 PA-Philadelphia County 676 93,026.65 24.94 411.65 137.61 68.20

 PA-Rest of State 1,341 703,426.22 19.47 1,851.39 524.55 73.09

Rhode Island 662 62,449.32 13.10 340.54 94.33 80.01
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

95

State/Estimation Area n Sum§ Minimum Maximum Mean

Coefficient 

of Variation

South Carolina 765 339,529.63 31.33 1,363.94 443.83 66.00

South Dakota 585 63,083.25 13.89 316.53 107.83 68.27

Tennessee 587 458,785.56 4.24 2,409.72 781.58 75.35

Texas 2,335 2,215,046.86 15.19 7,216.01 948.63 150.83

 TX-Bexar County 669 151,603.08 32.18 612.52 226.61 67.75

 TX-City of Houston 484 142,756.24 28.38 881.98 294.95 69.40

 TX-Rest of State 1,182 1,920,687.54 15.19 7,216.01 1,624.95 108.13

Utah 578 286,417.30 1.77 1,639.48 495.53 73.10

Vermont 597 36,405.23 4.69 189.94 60.98 67.54

Virginia 1,694 554,432.90 9.01 1,123.31 327.29 78.41

Washington 688 485,710.00 10.29 2,513.93 705.97 82.60

West Virginia 579 107,579.56 11.45 547.91 185.80 54.99

Wisconsin 662 385,385.56 56.26 1,606.89 582.15 57.67

Wyoming 713 40,722.78 6.79 185.43 57.11 70.93

Guam 532 14,540.00 4.01 91.58 27.33 81.45

Puerto Rico 2,413 180,796.28 6.49 250.77 74.93 89.48

*Distribution of RDDWT_C_TERR. 

† Excludes U.S. territories. 

§ The sum of the weights is an estimate of the total number of adolescents age 13-17 in the population.
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

96

Table B.2: Distribution of Sampling Weights* for Teens with Adequate Provider Data, National 

Immunization Survey - Teen, 2022 

State/Estimation Area n Sum§ Minimum Maximum Mean

Coefficient 

of Variation

U.S. National† 16,043 21,831,327.31 5.31 30,574.82 1,360.80 159.99

Alabama 269 333,290.99 94.26 3,566.73 1,239.00 66.34

Alaska 240 48,430.99 18.42 629.22 201.80 75.26

Arizona 273 491,381.61 59.85 6,329.38 1,799.93 73.74

Arkansas 332 208,990.00 75.87 2,008.01 629.49 71.58

California 321 2,599,903.88 42.00 30,574.82 8,099.39 83.74

Colorado 342 374,085.89 23.62 3,233.48 1,093.82 57.42

Connecticut 258 224,624.03 97.65 2,872.00 870.64 77.18

Delaware 250 60,306.55 57.74 769.15 241.23 68.61

District of Columbia 237 28,640.84 15.00 472.76 120.85 89.52

Florida 307 1,285,015.07 43.88 17,135.51 4,185.72 95.97

Georgia 333 767,112.10 34.21 8,104.75 2,303.64 85.04

Hawaii 237 81,267.05 59.97 968.05 342.90 55.98

Idaho 251 145,072.96 41.13 1,879.70 577.98 79.29

Illinois 630 838,318.23 60.79 6,407.06 1,330.66 99.42

 IL-City of Chicago 256 151,184.73 72.66 2,193.56 590.57 88.77

 IL-Rest of State 374 687,133.49 60.79 6,407.06 1,837.26 79.44

Indiana 258 469,278.13 125.66 5,294.78 1,818.91 64.73

Iowa 207 218,107.96 40.26 3,426.64 1,053.66 67.63

Kansas 310 208,564.16 81.53 2,218.43 672.79 72.38

Kentucky 276 298,538.63 119.61 3,383.81 1,081.66 66.55

Louisiana 330 314,593.07 55.19 3,323.17 953.31 84.51

Maine 268 77,277.00 22.30 862.27 288.35 62.25

Maryland 346 398,807.86 27.07 5,372.93 1,152.62 116.11

Massachusetts 268 408,246.40 65.08 5,066.72 1,523.31 77.03

Michigan 257 641,303.97 26.83 8,523.51 2,495.35 81.34

Minnesota 331 389,121.75 43.46 3,774.22 1,175.59 68.96

Mississippi 232 210,561.99 80.04 3,036.59 907.59 81.92

Missouri 284 411,320.33 86.55 4,651.74 1,448.31 71.77

Montana 297 69,922.49 49.76 711.82 235.43 67.93

Nebraska 247 140,984.19 41.71 1,892.95 570.79 65.83

Nevada 259 208,790.14 75.03 2,576.28 806.14 67.22

New Hampshire 225 79,580.55 69.83 1,107.90 353.69 57.31

New Jersey 289 601,028.99 50.10 7,410.06 2,079.69 85.52

New Mexico 276 144,285.11 25.10 1,646.42 522.77 69.13

New York 536 1,165,589.62 17.27 6,917.49 2,174.61 70.44

 NY-City of New York 222 466,032.98 33.16 6,859.26 2,099.25 73.90

 NY-Rest of State 314 699,556.64 17.27 6,917.49 2,227.89 68.14

North Carolina 361 695,008.56 48.70 6,830.49 1,925.23 87.79

North Dakota 280 50,949.96 17.63 622.35 181.96 80.25

Ohio 269 769,147.94 45.32 9,861.28 2,859.29 87.08

Oklahoma 249 283,129.97 197.86 3,325.55 1,137.07 72.42

Oregon 263 258,747.55 48.98 3,192.79 983.83 62.95

Pennsylvania 752 796,452.87 51.58 4,914.40 1,059.11 99.18

 PA-Philadelphia County 267 93,026.65 51.58 1,159.54 348.41 75.89

 PA-Rest of State 485 703,426.22 65.01 4,914.40 1,450.36 76.82

Rhode Island 285 62,449.32 17.84 772.55 219.12 76.25

South Carolina 269 339,529.63 49.45 4,489.44 1,262.19 75.29

South Dakota 252 63,083.25 26.86 810.49 250.33 73.20

Tennessee 244 458,785.56 5.72 6,370.51 1,880.27 85.17

Texas 794 2,215,046.86 37.86 21,002.03 2,789.73 153.35

 TX-Bexar County 253 151,603.08 50.82 1,950.91 599.22 91.49
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

97

State/Estimation Area n Sum§ Minimum Maximum Mean

Coefficient 

of Variation

 TX-City of Houston 157 142,756.24 93.79 3,200.30 909.28 87.54

 TX-Rest of State 384 1,920,687.54 37.86 21,002.03 5,001.79 105.63

Utah 271 286,417.30 5.31 3,418.94 1,056.89 75.61

Vermont 291 36,405.23 7.58 422.46 125.10 71.45

Virginia 595 554,432.90 26.73 3,281.10 931.82 83.37

Washington 280 485,710.00 27.40 6,450.74 1,734.68 83.35

West Virginia 244 107,579.56 101.80 1,334.39 440.90 58.63

Wisconsin 274 385,385.56 196.04 4,398.82 1,406.52 67.74

Wyoming 294 40,722.78 16.15 480.63 138.51 81.73

Guam 240 14,540.00 7.32 202.23 60.58 83.86

Puerto Rico 671 180,796.28 17.85 857.13 269.44 92.72

* Distribution of PROVWT_C_TERR. 

† Excludes U.S. territories. 

§ The sum of the weights is an estimate of the total number of adolescents age 13-17 in the population.
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

98

Appendix C: Programs for Estimation: Examples of the Use 

of SUDAAN, SAS, and R to Estimate 

Vaccination Coverage Rates and Their 

Standard Errors, and Example of the 

Production of a Cross-Tabulation and Chart

I. SUDAAN (RTI, 2008) Page 99

II. SAS (SAS, 2009) Page 111 

III. ‘R’ (Lumley, 2009) Page 123 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

99

I. SUDAAN

**********************************************************************;

title1 'SUD_IAP.SAS'; 

********************************************************************** 

THIS PROGRAM WILL PRODUCE ESTIMATION AREA ESTIMATES AND STANDARD ERRORS

FOR 1+ TD/TDAP VACCINATIONS (P_UTDTD) USING SAS CALLABLE SUDAAN.

SUDAAN NOTES:

1. ALL VARIABLES USED MUST BE NUMERIC.

2. VARIABLES IN THE SUBGROUP STATEMENT MUST HAVE VALUES 1,2,..K

WHERE K IS THE NUMBER OF LEVELS FOR EACH VARIABLE.

3. DATA MUST BE SORTED ACCORDING TO THE SAMPLE DESIGN VARIABLES

(STRATUM AND PRIMARY SAMPLING UNIT), SPECIFIED IN THE

NEST STATEMENT.

**********************************************************************;

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf22'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf22'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

%let in_file=dd.nisteenpuf22; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt22; * --- ESTIMATION AREA VARIABLE TO USE ---*;

%let wt=provwt_c; * --- WEIGHT TO USE (PROVWT_C is the single-frame cellular phone weight 

excluding territories. Use PROVWT_C_TERR to include territories) ---*;

%let strat=stratum; * --- STRATUM VARIABLE TO USE FOR VARIANCE ESTIMATION (Use 

STRATUM for all estimates.) ---*;

proc format; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR P_UTDTD. 

ORIGINAL VALUES OF P_UTDTD ARE 1,0. 

MUST BE CONVERTED TO 1,2 IN SUDAAN.

*/

value p_utdtdf 

1='1+ Td/Tdap Up-to-Date'

2='Not 1+ Td/Tdap Up-to-Date'; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR THE ESTIMATION AREA.

*/

value estiapf

. = "Missing"

0 = "US Total"

1 = "CT"

2 = "MA"

4 = "ME"

5 = "NH"

6 = "RI"

7 = "VT"
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

100

8 = "NJ"

10 = "NY-Rest of State"

11 = "NY-City of New York"

12 = "DC"

13 = "DE"

14 = "MD"

16 = "PA-Rest of State"

17 = "PA-Philadelphia County"

18 = "VA"

19 = "WV"

20 = "AL"

22 = "FL"

25 = "GA"

27 = "KY"

28 = "MS"

29 = "NC"

30 = "SC"

31 = "TN"

34 = "IL-Rest of State"

35 = "IL-City of Chicago"

36 = "IN"

38 = "MI"

40 = "MN"

41 = "OH"

44 = "WI"

46 = "AR"

47 = "LA"

49 = "NM"

50 = "OK"

51 = "TX-Rest of State"

54 = "TX-City of Houston"

55 = "TX-Bexar County"

56 = "IA"

57 = "KS"

58 = "MO"

59 = "NE"

60 = "CO"

61 = "MT"

62 = "ND"

63 = "SD"

64 = "UT"

65 = "WY"

66 = "AZ"

68 = "CA"

72 = "HI"

73 = "NV"

74 = "AK"

75 = "ID"

76 = "OR"

77 = "WA"

106 = "Puerto Rico" 

; 

run; 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

101

data sud_file; 

set &in_file. (keep= SEQNUMT P_UTDTD &estiap. &wt. &strat.);

if P_UTDTD=0 then P_UTDTD=2; *--- CONVERT P_UTDTD=0 TO P_UTDTD=2 ---*; 

NSEQNUMT=1*SEQNUMT; *---CONVERT TEEN ID SEQNUMT FROM CHARACTER TO 

NUMERIC ---*;

run; 

*=== SORT BY NEST VARIABLES: ESTIAP (STRATUM) NSEQNUMT (PRIMARY SAMPLING 

UNIT) ===*;

proc sort data=sud_file; 

by &strat. nseqnumt; 

run; 

proc crosstab data=sud_file filetype=sas design=wr; 

weight &wt.; 

nest &strat. nseqnumt; 

subgroup &estiap. P_UTDTD ; 

levels 106 2 ; 

tables &estiap. * P_UTDTD ; 

print nsum wsum rowper serow/style=nchs ; 

rtitle "1+ Td/Tdap Estimates by Estimation Area"; 

rformat &estiap. estiapf.; 

rformat P_UTDTD p_utdtdf.; 

output rowper serow/filename=sud_est filetype=sas;

run; 

proc print data=sud_est(where=(P_UTDTD=1 and rowper ne .)) noobs label; 

format &estiap. estiapf.; 

var &estiap. rowper serow ; 

label

rowper='Percent 1+ Td/Tdap Up-to-Date'

serow='Standard Error'

; 

title "1+ TD/TDAP ESTIMATES BY ESTIMATION AREA"; 

run; 

**********************;

title1 'SUDSTATE.SAS'; 

************************************************************************* 

THIS PROGRAM WILL PRODUCE STATE ESTIMATES AND STANDARD ERRORS

FOR 1+ Td/Tdap VACCINATIONS (P_UTDTD) USING SAS CALLABLE SUDAAN.

NOTE : THE STATE VARIABLE IS BASED ON STATE FIPS CODES. THERE ARE

NO STATES WITH FIPS CODES 3,7,14,43,52,57-71,73-78. 

SUDAAN NOTES:

1. ALL VARIABLES USED MUST BE NUMERIC.

2. VARIABLES IN THE SUBGROUP STATEMENT MUST HAVE VALUES 1,2,..K

WHERE K IS THE NUMBER OF LEVELS FOR EACH VARIABLE.

3. DATA MUST BE SORTED ACCORDING TO THE SAMPLE DESIGN VARIABLES

(STRATUM AND PRIMARY SAMPLING UNIT), SPECIFIED IN THE

NEST STATEMENT.

*************************************************************************;
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

102

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf22'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf22'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

%let in_file=dd.nisteenpuf22; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt22; * --- ESTIMATION AREA VARIABLE TO USE ---*;

%let wt=provwt_c; * --- WEIGHT TO USE (PROVWT_C is the single-frame cellular phone weight 

excluding territories. Use PROVWT_C_TERR to include territories) ---*;

%let strat=stratum; * --- STRATUM VARIABLE TO USE FOR VARIANCE ESTIMATION (Use 

STRATUM for all estimates) ---*;

proc format; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR P_UTDTD. 

ORIGINAL VALUES OF P_UTDTD ARE 1,0. 

MUST BE CONVERTED TO 1,2 IN SUDAAN.

*/

value putmmrf

1='1+ Td/Tdap Up-to-Date'

2='Not 1+ Td/Tdap Up-to-Date'

; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR STATE.

*/

value statef

0 ='U.S. Total'

1 ='Alabama '

2 ='Alaska '

4 ='Arizona '

5 ='Arkansas '

6 ='California '

8 ='Colorado '

9 ='Connecticut '

10 ='Delaware '

11 ='District of Columbia'

12 ='Florida '

13 ='Georgia '

15 ='Hawaii '

16 ='Idaho '

17 ='Illinois '

18 ='Indiana '

19 ='Iowa '

20 ='Kansas '

21 ='Kentucky '

22 ='Louisiana '

23 ='Maine '

24 ='Maryland '

25 ='Massachusetts '

26 ='Michigan '
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

103

27 ='Minnesota '

28 ='Mississippi '

29 ='Missouri '

30 ='Montana '

31 ='Nebraska '

32 ='Nevada '

33 ='New Hampshire '

34 ='New Jersey '

35 ='New Mexico '

36 ='New York '

37 ='North Carolina '

38 ='North Dakota '

39 ='Ohio '

40 ='Oklahoma '

41 ='Oregon '

42 ='Pennsylvania '

44 ='Rhode Island '

45 ='South Carolina '

46 ='South Dakota '

47 ='Tennessee '

48 ='Texas '

49 ='Utah '

50 ='Vermont '

51 ='Virginia '

53 ='Washington '

54 ='West Virginia '

55 ='Wisconsin '

56 ='Wyoming '

72 ='Puerto Rico '

; 

run; 

data sud_file; 

set &in_file. (keep= SEQNUMT P_UTDTD &estiap. STATE &wt. &strat.);

if P_UTDTD=0 then P_UTDTD=2; *** CONVERT P_UTDTD=0 TO P_UTDTD=2 ***;

NSEQNUMT=1*SEQNUMT; *** CONVERT TEEN ID SEQNUMT FROM CHARACTER TO 

NUMERIC ***;

run; 

*=== SORT BY NEST VARIABLES: ESTIAP (STRATUM) NSEQNUMT (PRIMARY SAMPLING 

UNIT) ===*;

proc sort data=sud_file; 

by &strat. nseqnumt; 

run; 

proc crosstab data=sud_file filetype=sas design=wr; 

weight &wt.; 

nest &strat. nseqnumt; 

subgroup state P_UTDTD ; 

levels 72 2 ; 

tables state * P_UTDTD ; 

print nsum wsum rowper serow/style=nchs ; 

rtitle "1+ Td/Tdap ESTIMATES BY STATE"; 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

104

rformat state statef.; 

rformat P_UTDTD p_utdtdf.; 

output rowper serow / filename=sud_est2 filetype=sas;

run; 

*** EXCLUDE 3,7,14,43,52,57-71,73-78 THERE ARE NO STATES WITH THESE FIPS CODES *** 

;

proc print data=sud_est2(where=(P_UTDTD=1 and rowper ne . and state notin (3,7,14,43,52) and 

not(57<=STATE<=71) and not(73<=state<=78))) label noobs; 

format state statef.; 

var state rowper serow ;

label

rowper='Percent 1+ Td/Tdap Up-to-Date'

serow='Standard Error'

; 

title "1+ TD/TDAP ESTIMATES BY STATE"; 

run; 

**********************;

title1 'PROG_3.SAS'; 

************************************************************************* 

THIS PROGRAM WILL PRODUCE A TABLE OF HOUSEHOLD REPORT OF 

THE TEEN HAVING ASTHMA BY STATE FOR ALL HOUSEHOLD COMPLETES USING 

RDDWT_C. 

THE PROGRAM USES SAS CALLABLE SUDAAN.

SUDAAN NOTES:

1. ALL VARIABLES USED MUST BE NUMERIC.

2. VARIABLES IN THE SUBGROUP STATEMENT MUST HAVE VALUES 1,2,..K

WHERE K IS THE NUMBER OF LEVELS FOR EACH VARIABLE.

3. DATA MUST BE SORTED ACCORDING TO THE SAMPLE DESIGN VARIABLES

(STRATUM AND PRIMARY SAMPLING UNIT), SPECIFIED IN THE

NEST STATEMENT.

*************************************************************************;

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf22'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf22'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

%let in_file=dd.nisteenpuf22; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt22; * --- ESTIMATION VARIABLE TO USE ---*;

%let wt=rddwt_c; * --- WEIGHT TO USE (RDDWT_C is the single-frame cellular phone weight 

excluding territories. Use RDDWT_C_TERR to include territories) ---*;

%let strat=stratum; * --- STRATUM VARIABLE TO USE FOR VARIANCE ESTIMATION (Use 

STRATUM for all estimation) ---*;

proc format; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR ASTHMA.

*/

value asthmaf
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

105

1='Yes'

2='No'

; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR STATE.

*/

value statef

0 ='U.S. Total '

1 ='Alabama '

2 ='Alaska '

4 ='Arizona '

5 ='Arkansas '

6 ='California '

8 ='Colorado '

9 ='Connecticut '

10 ='Delaware '

11 ='District of Columbia'

12 ='Florida '

13 ='Georgia '

15 ='Hawaii '

16 ='Idaho '

17 ='Illinois '

18 ='Indiana '

19 ='Iowa '

20 ='Kansas '

21 ='Kentucky '

22 ='Louisiana '

23 ='Maine '

24 ='Maryland '

25 ='Massachusetts '

26 ='Michigan '

27 ='Minnesota '

28 ='Mississippi '

29 ='Missouri '

30 ='Montana '

31 ='Nebraska '

32 ='Nevada '

33 ='New Hampshire '

34 ='New Jersey '

35 ='New Mexico '

36 ='New York '

37 ='North Carolina '

38 ='North Dakota '

39 ='Ohio '

40 ='Oklahoma '

41 ='Oregon '

42 ='Pennsylvania '

44 ='Rhode Island '

45 ='South Carolina '

46 ='South Dakota '

47 ='Tennessee '

48 ='Texas '

49 ='Utah '
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

106

50 ='Vermont '

51 ='Virginia '

53 ='Washington '

54 ='West Virginia '

55 ='Wisconsin '

56 ='Wyoming '

72 ='Puerto Rico '

; 

run; 

data sud_file; 

set &in_file. (keep= SEQNUMT &estiap. STATE ASTHMA &wt. &strat.);

where ASTHMA in (1,2); *** KEEP ONLY CASES WITH NON-MISSING VALUES FOR ASTHMA 

***;

NSEQNUMT=1*SEQNUMT; *** CONVERT TEEN ID SEQNUMT FROM CHARACTER TO 

NUMERIC ***;

run; 

*=== SORT BY NEST VARIABLES: ESTIAP (STRATUM) NSEQNUMT (PRIMARY SAMPLING 

UNIT) ===*;

proc sort data=sud_file; 

by &strat. NSEQNUMT;

run; 

proc crosstab data=sud_file filetype=sas design=wr; 

weight &wt.; 

nest &strat. NSEQNUMT;

subgroup STATE ASTHMA ;

levels 72 2 ; 

tables STATE * ASTHMA ;

print nsum wsum rowper serow/style=nchs ;

rtitle "ASTHMA ESTIMATES BY STATE"; 

rtitle "WEIGHT = &WT."; 

rformat STATE statef.; 

rformat ASTHMA asthmaf.; 

output rowper serow / filename=sud_est3 filetype=sas;

run; 

*** EXCLUDE 3,7,14,43,52,57-71,73-78 THERE ARE NO STATES WITH THESE FIPS CODES *** ;

proc print data=sud_est3(where=(ASTHMA=1 and rowper ne . and STATE notin (3,7,14,43,52) and 

not(57<=STATE <=71) and not(73<=state<=78))) label noobs; 

format STATE statef.; 

var STATE rowper serow ;

label

rowper='Percent ASTHMA = Yes'

serow='Standard Error'

; 

title "HH REPORT OF TEEN HAVING ASTHMA BY STATE"; 

run; 

**********************;

title1 'PROG_4.SAS'; 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

107

************************************************************************* 

TABLE OF P_UTDTD BY INCPOV1 BY RACE_K. SAVE % UTD

ESTIMATES (NOT S.E.'S) FOR USE IN THE PROGRAM CHART_4.

THIS PROGRAM WILL PRODUCE ESTIMATES USING SAS CALLABLE SUDAAN.

SUDAAN NOTES:

1. ALL VARIABLES USED MUST BE NUMERIC.

2. VARIABLES IN THE SUBGROUP STATEMENT MUST HAVE VALUES 1,2,..K

WHERE K IS THE NUMBER OF LEVELS FOR EACH VARIABLE.

3. DATA MUST BE SORTED ACCORDING TO THE SAMPLE DESIGN VARIABLES

(STRATUM AND PRIMARY SAMPLING UNIT), SPECIFIED IN THE

NEST STATEMENT.

*************************************************************************;

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf22'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf22'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- SPECIFY THE PATH FOR WHERE YOU WANT THE CHART OUTPUT TO GO ---*;

libname out 'c:\nisteenpuf22'; 

%let in_file=dd.nisteenpuf22; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt22; * --- ESTIMATION VARIABLE TO USE ---*;

%let wt=provwt_c; * --- WEIGHT TO USE (PROVWT_C is the single-frame cellular phone weight 

excluding territories. Use PROVWT_C_TERR to include territories) ---*;

%let qtr_lab=Q1/2022 - Q4/2022; *--- NIS-TEEN 4 QUARTER PERIOD ---*;

%let strat=stratum; * --- STRATUM VARIABLE TO USE FOR VARIANCE ESTIMATION (Use 

STRATUM for all estimation) ---*;

proc format; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR P_UTDTD. 

ORIGINAL VALUES OF P_UTDTD ARE 1,0. 

MUST BE CONVERTED TO 1,2 IN SUDAAN.

*/

value p_utdtdf 

1='1+ Td/Tdap Up-to-Date'

2='Not 1+ Td/Tdap Up-to-Date'

; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR RACE_K.

*/

VALUE RACE_KF

1 = "WHITE ONLY"

2 = "BLACK ONLY"

3 = "OTHER AND MULTIPLE RACE"

; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR INCPOV1.

*/

VALUE INCPVR2F

1 = "ABOVE POVERTY, > $75,000"

2 = "ABOVE POVERTY, <= $75,000"

3 = "BELOW POVERTY"
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

108

4 = "UNKNOWN"

; 

run; 

data sud_file; 

set &in_file. (keep= SEQNUMT P_UTDTD &estiap. RACE_K INCPOV1 PDAT2 &wt. &strat.);

NSEQNUMT=1*SEQNUMT; *** CONVERT TEEN ID SEQNUMT FROM CHARACTER TO 

NUMERIC ***;

if P_UTDTD=0 then P_UTDTD=2; *** CONVERT P_UTDTD=0 TO P_UTDTD=2 ***;

run; 

*=== SORT BY NEST VARIABLES: ESTIAP (STRATUM) NSEQNUMT (PRIMARY SAMPLING 

UNIT) ===*;

proc sort data=sud_file; 

by &strat. NSEQNUMT;

run; 

proc freq data=sud_file; 

where PDAT2=1; 

tables P_UTDTD INCPOV1 RACE_K;

title "Table 4A. &qtr_lab.: Unweighted Frequencies"; 

run; 

proc crosstab data=sud_file filetype=sas design=wr; 

weight &wt.; 

nest &strat. NSEQNUMT;

subgroup INCPOV1 RACE_K P_UTDTD; 

levels 4 3 2 ; 

tables (INCPOV1 * RACE_K * P_UTDTD) ;

print nsum wsum rowper="1+ Td/Tdap Up-to-Date (ROWPER)"

serow="Standard Error (SEROW)" /style=nchs ;

rtitle "Table 4B. &qtr_lab., Percent 1+ Td/Tdap Up-to-Date and Estimated Standard Errors"; 

rtitle "WEIGHT = &WT."; 

rformat P_UTDTD p_utdtdf.; 

rformat INCPOV1 incpvr2f.; 

rformat RACE_K race_kf.; 

output rowper serow / filename=sud_est4 filetype=sas;

run; 

data out.sud_est4; 

set sud_est4 (where=(P_UTDTD=1 and INCPOV1 > 0 and RACE_K > 0));

keep INCPOV1 RACE_K rowper serow;

label rowper='1+ Td/Tdap Up-to-Date'

serow='Standard Error'; 

format rowper 5.2

serow 5.2; 

run; 

proc print data=out.sud_est4 label; 

format RACE_K race_kf.; 

format INCPOV1 incpvr2f.; 

title "Table 4B. &qtr_lab.: 1+ TD/TDAP ESTIMATES BY INCPOV1 BY RACE_K"; 

run; 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

109

**********************;

title1 'SAS_GRAPH_4.SAS'; 

************************************************************************* 

THIS PROGRAM BUILDS OFF OF THE PROGRAM SAS_PROG_4. IT PRODUCES A CHART OF

P_UTDTD BY INCPOV1 BY RACE_K. IT CREATES A BAR CHART IN SAS GRAPH FOR

THE 4X3 = 12 CELLS. THE OUTPUT OF THE FOLLOWING EXAMPLE IS ATTACHED AT THE

END.

*************************************************************************;

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf22'; *--- SPECIFY PATH TO SAS DATASET ---*;

%let out='c:\nisteenpuf22'; *--- SPECIFY THE PATH FOR WHERE YOU WANT THE CHART 

OUTPUT TO GO ---*;

%let in_file=dd.sud_est4; *--- NAME OF SAS DATASET OUTPUT FROM PROG_4 ---*;

%let qtr_lab=Q1/2022 - Q4/2022; *--- NIS-TEEN 4 QUARTER PERIOD ---*;

proc format; 

value incpvr2f 

1 = "ABOVE POVERTY, > $75,000"

2 = "ABOVE POVERTY, <= $75,000"

3 = "BELOW POVERTY"

4 = "UNKNOWN"

; 

value race_kf

1 = "WHITE ONLY"

2 = "BLACK ONLY"

3 = "OTHER/MULT RACE"

; 

run; 

data sud_est4;

set &in_file.; 

format rowper 3.

RACE_K race_kf.

INCPOV1 incpvr2f.

; 

label

RACE_K = 'Race of Teen'

INCPOV1 = 'Poverty Status'

; 

filename odsout &out.; 

ods listing close; 

/* SET THE GRAPHICS ENVIRONMENT */

goptions reset=global gunit=pct border

ftext=swissb htitle=4 htext=1.5

device=gif

; 

ods html body='graph_4_sud.html' path=odsout;

run; 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

110

title1 h=12pt "Percentage of Teens Up-to-Date with 1+ Td/Tdap"; 

title2 h=12pt "by Race and Poverty Status, National Immunization Survey - Teen, 2022"; 

footnote j=r 'graph_4sud'; 

proc sgplot data=sud_est4;

styleattrs datacolors=(wheat lightpink forestgreen) datacontrastcolors=(wheat lightpink forestgreen) 

datalinepatterns=(solid);

vbar INCPOV1 / response=rowper group=RACE_K groupdisplay=cluster stat=mean barwidth=0.8; 

xaxis display=(noticks); 

yaxis grid; 

keylegend / across=1 position=top;

run; 

ods html close; 

ods listing; 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

111

II. SAS

**********************;

title1 'SAS_IAP.SAS'; 

********************************************************************** 

THIS PROGRAM WILL PRODUCE ESTIMATION AREA ESTIMATES AND STANDARD ERRORS

FOR 1+ TD/TDAP VACCINATIONS (P_UTDTD) USING SAS.

**********************************************************************;

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf22'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf22'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

%let in_file=dd.nisteenpuf22; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt22; * --- ESTIMATION AREA VARIABLE TO USE ---*;

%let wt=provwt_c; * --- WEIGHT TO USE (PROVWT_C is the single-frame cellular phone weight 

excluding territories. Use PROVWT_C_TERR to include territories) ---*;

%let strat=stratum; * --- STRATUM VARIABLE TO USE FOR VARIANCE ESTIMATION (Use 

STRATUM for all estimation) ---*;

proc format; 

value p_utdtdf 

0='Not 1+ Td/Tdap Up-To-Date'

1='1+ Td/Tdap Up-To-Date'; 

value estiapf

. = "Missing"

0 = "US Total"

1 = "CT"

2 = "MA"

4 = "ME"

5 = "NH"

6 = "RI"

7 = "VT"

8 = "NJ"

10 = "NY-Rest of State"

11 = "NY-City of New York"

12 = "DC"

13 = "DE"

14 = "MD"

16 = "PA-Rest of State"

17 = "PA-Philadelphia County"

18 = "VA"

19 = "WV"

20 = "AL"

22 = "FL"

25 = "GA"

27 = "KY"

28 = "MS"
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

112

29 = "NC"

30 = "SC"

31 = "TN"

34 = "IL-Rest of State"

35 = "IL-City of Chicago"

36 = "IN"

38 = "MI"

40 = "MN"

41 = "OH"

44 = "WI"

46 = "AR"

47 = "LA"

49 = "NM"

50 = "OK"

51 = "TX-Rest of State"

54 = "TX-City of Houston"

55 = "TX-Bexar County"

56 = "IA"

57 = "KS"

58 = "MO"

59 = "NE"

60 = "CO"

61 = "MT"

62 = "ND"

63 = "SD"

64 = "UT"

65 = "WY"

66 = "AZ"

68 = "CA"

72 = "HI"

73 = "NV"

74 = "AK"

75 = "ID"

76 = "OR"

77 = "WA"

106 = "Puerto Rico" 

; 

run; 

data sas_file;

set &in_file. (keep= SEQNUMT P_UTDTD &estiap. &wt. &strat.);

run; 

proc sort data = sas_file;

by &estiap.; 

run; 

title1 '1+ Td/Tdap Estimates by Estimation Area'; 

ods output Statistics=sas_est;

proc surveymeans data = sas_file nobs sum mean stderr;

stratum &strat.; 

cluster SEQNUMT;

weight &wt.; 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

113

class P_UTDTD; 

var P_UTDTD; 

by &estiap.; 

format P_UTDTD p_utdtdf.; 

format &estiap. estiapf.; 

run; 

data sas_est;

set sas_est;

mean = mean*100; *CONVERT TO PERCENT ESTIMATES;

stderr = stderr*100; 

run; 

proc print data=sas_est(where=(varlevel='1+ Td/Tdap Up-To-Date')) noobs

label; 

format &estiap. estiapf.; 

format mean stderr 5.2; 

var &estiap. mean stderr;

label

mean='Percent 1+ Td/Tdap Up-to-Date'

stderr='Standard Error'; 

title "1+ TD/TDAP ESTIMATES BY ESTIMATION AREA"; 

run; 

**********************;

title1 'SASSTATE.SAS'; 

********************************************************************** 

THIS PROGRAM WILL PRODUCE STATE ESTIMATES AND STANDARD ERRORS

FOR 1+ TD/TDAP VACCINATIONS (P_UTDTD) USING SAS.

NOTE : THE STATE VARIABLE IS BASED ON STATE FIPS CODES. THERE ARE

NO STATES WITH FIPS CODES 3,7,14,43,52,57-71,73-78. 

**********************************************************************;

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf22'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf22'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

%let in_file=dd.nisteenpuf22; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt22; * --- ESTIMATION AREA VARIABLE TO USE ---*;

%let wt=provwt_c; * --- WEIGHT TO USE (PROVWT_C is the single-frame cellular phone weight 

excluding territories. Use PROVWT_C_TERR to include territories) ---*;

%let strat=stratum; * --- STRATUM VARIABLE TO USE FOR VARIANCE ESTIMATION (Use 

STRATUM for all estimation) ---*;

proc format; 

value p_utdtdf 

0='Not 1+ Td/Tdap Up-To-Date'

1='1+ Td/Tdap Up-To-Date'; 

value statef
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

114

. ="Missing"

0 ='U.S. Total '

1 ='Alabama '

2 ='Alaska '

4 ='Arizona '

5 ='Arkansas '

6 ='California '

8 ='Colorado '

9 ='Connecticut '

10 ='Delaware '

11 ='District of Columbia'

12 ='Florida '

13 ='Georgia '

15 ='Hawaii '

16 ='Idaho '

17 ='Illinois '

18 ='Indiana '

19 ='Iowa '

20 ='Kansas '

21 ='Kentucky '

22 ='Louisiana '

23 ='Maine '

24 ='Maryland '

25 ='Massachusetts '

26 ='Michigan '

27 ='Minnesota '

28 ='Mississippi '

29 ='Missouri '

30 ='Montana '

31 ='Nebraska '

32 ='Nevada '

33 ='New Hampshire '

34 ='New Jersey '

35 ='New Mexico '

36 ='New York '

37 ='North Carolina '

38 ='North Dakota '

39 ='Ohio '

40 ='Oklahoma '

41 ='Oregon '

42 ='Pennsylvania '

44 ='Rhode Island '

45 ='South Carolina '

46 ='South Dakota '

47 ='Tennessee '

48 ='Texas '

49 ='Utah '

50 ='Vermont '

51 ='Virginia '

53 ='Washington '

54 ='West Virginia '

55 ='Wisconsin '

56 ='Wyoming '
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

115

72 ='Puerto Rico '

; 

run; 

data sas_file;

set &in_file. (keep= SEQNUMT P_UTDTD &estiap. STATE &wt. &strat.);

run; 

proc sort data = sas_file;

by state;

run; 

title1 '1+ Td/Tdap ESTIMATES BY STATE'; 

ods output Statistics=sas_est2;

proc surveymeans data = sas_file nobs sum mean stderr;

stratum &strat.; 

cluster SEQNUMT;

weight &wt.; 

class P_UTDTD; 

var P_UTDTD; 

by STATE;

format P_UTDTD p_utdtdf.; 

format STATE statef.; 

run; 

data sas_est2;

set sas_est2;

mean = mean*100; *CONVERT TO PERCENT ESTIMATES;

stderr = stderr*100; 

run; 

proc print data=sas_est2(where=(varlevel='1+ Td/Tdap Up-To-Date')) noobs

label; 

format STATE statef.; 

format mean stderr 5.2; 

var STATE mean stderr;

label

mean='Percent 1+ Td/Tdap Up-to-Date'

stderr='Standard Error'; 

title "1+ TD/TDAP ESTIMATES BY STATE"; 

run; 

**********************;

title1 'SAS_PROG_3.SAS'; 

************************************************************************* 

THIS PROGRAM WILL PRODUCE A TABLE OF HOUSEHOLD REPORT OF 

THE TEEN HAVING ASTHMA BY STATE FOR ALL HOUSEHOLD

COMPLETES USING RDDWT. THE PROGRAM USES SAS.

*************************************************************************;

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf22'; *--- SPECIFY PATH TO SAS DATASET ---*;
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

116

libname library 'c:\nisteenpuf22'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

%let in_file=dd.nisteenpuf22; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt22; * --- ESTIMATION VARIABLE TO USE ---*;

%let wt=rddwt_c; * --- WEIGHT TO USE (RDDWT_C is the single-frame cellular phone weight 

excluding territories. Use RDDWT_C_TERR to include territories) ---*;

%let strat=stratum; * --- STRATUM VARIABLE TO USE FOR VARIANCE ESTIMATION (Use 

STRATUM for all estimation) ---*;

proc format; 

value asthmaf

1='Yes'

2='No'

; 

value statef

0 ='U.S. Total '

1 ='Alabama '

2 ='Alaska '

4 ='Arizona '

5 ='Arkansas '

6 ='California '

8 ='Colorado '

9 ='Connecticut '

10 ='Delaware '

11 ='District of Columbia'

12 ='Florida '

13 ='Georgia '

15 ='Hawaii '

16 ='Idaho '

17 ='Illinois '

18 ='Indiana '

19 ='Iowa '

20 ='Kansas '

21 ='Kentucky '

22 ='Louisiana '

23 ='Maine '

24 ='Maryland '

25 ='Massachusetts '

26 ='Michigan '

27 ='Minnesota '

28 ='Mississippi '

29 ='Missouri '

30 ='Montana '

31 ='Nebraska '

32 ='Nevada '

33 ='New Hampshire '

34 ='New Jersey '

35 ='New Mexico '

36 ='New York '

37 ='North Carolina '

38 ='North Dakota '
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

117

39 ='Ohio '

40 ='Oklahoma '

41 ='Oregon '

42 ='Pennsylvania '

44 ='Rhode Island '

45 ='South Carolina '

46 ='South Dakota '

47 ='Tennessee '

48 ='Texas '

49 ='Utah '

50 ='Vermont '

51 ='Virginia '

53 ='Washington '

54 ='West Virginia '

55 ='Wisconsin '

56 ='Wyoming '

72 ='Puerto Rico '

; 

run; 

data sas_file;

set &in_file. (keep= SEQNUMT &estiap. STATE ASTHMA &wt. &strat.);

where ASTHMA in (1,2); *** KEEP ONLY CASES WITH NON-MISSING VALUES FOR ASTHMA 

***;

run; 

proc sort data = sas_file;

by state;

run; 

title1 'ASTHMA ESTIMATES BY STATE'; 

ods output Statistics=sas_est3;

proc surveymeans data = sas_file nobs sum mean stderr;

stratum &strat.; 

cluster SEQNUMT;

weight &wt.; 

class ASTHMA;

var ASTHMA;

by STATE;

format ASTHMA asthmaf.; 

format state statef.; 

run; 

data sas_est3;

set sas_est3;

mean = mean*100; *CONVERT TO PERCENT ESTIMATES;

stderr = stderr*100; 

run; 

proc print data=sas_est3(where=(varlevel='Yes')) noobs label; 

format STATE statef.; 

format mean stderr 5.2; 

var STATE mean stderr;
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

118

label

mean='Percent ASTHMA = Yes'

stderr='Standard Error'; 

title "HH REPORT OF TEEN HAVING ASTHMA BY STATE"; 

run; 

**********************;

title1 'SAS_PROG_4.SAS'; 

************************************************************************* 

TABLE OF P_UTDTD BY INCPOV1 BY RACE_K. SAVE % UTD

ESTIMATES (NOT S.E.'S) FOR USE IN THE PROGRAM SAS_GRAPH_4.

THIS PROGRAM WILL PRODUCE ESTIMATES USING SAS.

*************************************************************************;

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf22'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf22'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

libname out 'c:\nisteenpuf22'; *--- SPECIFY THE PATH FOR WHERE YOU WANT THE CHART 

OUTPUT TO GO ---*;

%let in_file=dd.nisteenpuf22; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt22; * --- ESTIMATION VARIABLE TO USE ---*;

%let wt=provwt_c; * --- WEIGHT TO USE (PROVWT_C is the single-frame cellular phone weight 

excluding territories. Use PROVWT_C_TERR to include territories) ---*;

%let strat=stratum; * --- STRATUM VARIABLE TO USE FOR VARIANCE ESTIMATION (Use 

STRATUM for all estimation) ---*;

%let qtr_lab=Q1/2022 - Q4/2022; *--- NIS-TEEN 4 QUARTER PERIOD ---*;

proc format; 

value p_utdtdf 

0='Not 1+ Td/Tdap Up-To-Date'

1='1+ Td/Tdap Up-To-Date'

; 

value race_kf

1 = "WHITE ONLY"

2 = "BLACK ONLY"

3 = "OTHER AND MULTIPLE RACE"

; 

value incpvr2f 

1 = "ABOVE POVERTY, > $75,000"

2 = "ABOVE POVERTY, <= $75,000"

3 = "BELOW POVERTY"

4 = "UNKNOWN"

; 

run; 

data sas_file;

set &in_file. (keep= SEQNUMT P_UTDTD &estiap. RACE_K INCPOV1 &wt. &strat. PDAT2);

run; 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

119

proc sort data = sas_file;

by incpov1 race_k;

run; 

proc freq; 

where PDAT2=1; 

tables P_UTDTD INCPOV1 RACE_K;

title1 "Table 4A. &qtr_lab.: Unweighted Frequencies"; 

run; 

proc surveymeans data = sas_file nobs sum mean stderr;

ods output Domain=sas_est4; 

stratum &strat.; 

cluster SEQNUMT;

weight &wt.; 

class P_UTDTD; 

var P_UTDTD; 

domain INCPOV1*RACE_K;

format P_UTDTD p_utdtdf.; 

run; 

data sas_est4;

set sas_est4 (rename=(INCPOV1=INCPOV1_char RACE_K=RACE_K_char));

*CONVERT TO PERCENT ESTIMATES;

mean = mean*100; 

stderr = stderr*100; 

*CONVERT BACK TO NUMERIC;

INCPOV1=1*INCPOV1_char; 

RACE_K=1*RACE_K_char; 

run; 

proc print data=sas_est4(where=(varlevel='1+ Td/Tdap Up-To-Date')) noobs

label; 

format INCPOV1 incpvr2f.; 

format RACE_K race_kf.; 

format mean stderr 5.2; 

var INCPOV1 RACE_K mean stderr;

label

mean='1+ Td/Tdap Up-To-Date'

stderr='Standard Error'; 

title1 "Table 4B. &qtr_lab.: 1+ TD/TDAP ESTIMATES BY INCPOV1 BY RACE_K"; 

run; 

data out.sas_est4; 

set sas_est4(where=(varlevel='1+ Td/Tdap Up-To-Date'));

keep INCPOV1 RACE_K mean;

label mean='1+ Td/Tdap Up-to-Date'; 

format mean 5.2; 

run; 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

120

**********************;

title1 'SAS_GRAPH_4.SAS'; 

************************************************************************* 

THIS PROGRAM BUILDS OFF OF THE PROGRAM SAS_PROG_4. IT PRODUCES A CHART OF

P_UTDTD BY INCPOV1 BY RACE_K. IT CREATES A BAR CHART IN SAS GRAPH FOR

THE 4X3 = 12 CELLS. THE OUTPUT OF THE FOLLOWING EXAMPLE IS ATTACHED AT THE

END.

*************************************************************************;

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf22'; *--- SPECIFY PATH TO SAS DATASET ---*;

%let out='c:\nisteenpuf22'; *--- SPECIFY THE PATH FOR WHERE YOU WANT THE CHART 

OUTPUT TO GO ---*;

%let in_file=dd.sas_est4; *--- NAME OF SAS DATASET OUTPUT FROM PROG_4 ---*;

%let qtr_lab=Q1/2022 - Q4/2022; *--- NIS-TEEN 4 QUARTER PERIOD ---*;

proc format; 

value incpvr2f 

1 = "ABOVE POVERTY, > $75,000"

2 = "ABOVE POVERTY, <= $75,000"

3 = "BELOW POVERTY"

4 = "UNKNOWN"

; 

value race_kf

1 = "WHITE ONLY"

2 = "BLACK ONLY"

3 = "OTHER/MULT RACE"

; 

run; 

data sas_est4;

set &in_file.; 

format mean 3.

RACE_K race_kf.

INCPOV1 incpvr2f.

; 

label

RACE_K = 'Race of Teen'

INCPOV1 = 'Poverty Status'

; 

filename odsout &out.; 

ods listing close; 

/* SET THE GRAPHICS ENVIRONMENT */

goptions reset=global gunit=pct border

ftext=swissb htitle=4 htext=1.5

device=gif

; 

ods html body='graph_4.html' path=odsout;

run; 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

121

title1 h=12pt "Percentage of Teens Up-to-Date with 1+ Td/Tdap"; 

title2 h=12pt "by Race and Poverty Status, National Immunization Survey - Teen, 2022"; 

footnote j=r 'graph_4'; 

proc sgplot data=sas_est4;

styleattrs datacolors=(wheat lightpink forestgreen) datacontrastcolors=(wheat lightpink forestgreen) 

datalinepatterns=(solid);

vbar INCPOV1 / response=mean group=RACE_K groupdisplay=cluster stat=mean barwidth=0.8; 

xaxis display=(noticks); 

yaxis grid; 

keylegend / across=1 position=top;

run; 

ods html close; 

ods listing; 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

122
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

123

III. ‘R’

######################

title <- "R_IAP.R" 

######################################################################

#THIS PROGRAM WILL PRODUCE ESTIMATION AREA ESTIMATES AND STANDARD ERRORS

#FOR 1+ TD/TDAP VACCINATIONS (P_UTDTD) USING R.

# 

#R NOTES:

#1. R IS CASE SENSITIVE.

#2. A FILE PATH IS SEPARATED BY SLASH(/)

######################################################################

library(survey) #TO USE svydesign(), svymean(), and svyby()

library(Hmisc) #TO USE prn()

dd <- "c:/nisteenpuf22" #"path-to-dataset"

#--- NAME OF R DATASET ---# 

in.file <- paste(dd,"/NISTEENPUF22.RData",sep="")

#---READ R DATASET---# 

load(in.file)

#---FORMAT---# 

UTDTDlevels=c(0,1)

UTDTDlabels=c("NOT 1+ TD/TDAP UTD", "1+ TD/TDAP UTD")

ESTIAPlevels=c(0, 1, 2, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 22, 25, 27, 28, 29, 30, 31, 34, 35, 36, 38, 40, 41, 44, 

46, 47, 49, 50, 51, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 72, 73, 74, 75, 76, 77, 106) 

ESTIAPlabels=c("US Total", "CT", "MA", "ME", "NH", "RI", "VT", "NJ", "NY-Rest of State", "NY-City of New York", "DC", 

"DE", "MD", "PA-Rest of State", "PA-Philadelphia County", "VA", "WV", "AL", "FL", "GA", "KY", "MS", "NC", "SC", "TN", 

"IL-Rest of State", "IL-City of Chicago", "IN", "MI", "MN", "OH", "WI", "AR", "LA", "NM", "OK", "TX-Rest of State", "TXCity of Houston", "TX-Bexar County", "IA", "KS", "MO", "NE", "CO", "MT", "ND", "SD", "UT", "WY", "AZ", "CA", "HI", 

"NV", "AK", "ID", "OR", "WA", "Puerto Rico") 

#---PROVWT_C WILL BE USED AS A WEIGHT (PROVWT_C IS THE SINGLE-FRAME CELLULAR PHONE WEIGHT 

EXCLUDING TERRITORIES; USE PROVWT_C_TERR TO INCLUDE TERRITORIES) ---# 

#---STRATUM WILL BE USED AS A STRATUM VARIABLE FOR VARIANCE ESTIMATION (USE STRATUM FOR 

ALL ESTIMATION ---# 

R_FILE <- subset(NISTEENPUF22, select=c(SEQNUMT, P_UTDTD, ESTIAPT22, PROVWT_C, STRATUM)) 

names(R_FILE) <- c("SEQNUMT", "P_UTDTD", "ESTIAP", "WT", "STRATUM")

R_FILE <- na.omit(R_FILE)

#---ASSIGN LABELS---# 

R_FILE$P_UTDTD <- factor(R_FILE$P_UTDTD, levels=UTDTDlevels, labels=UTDTDlabels) 

R_FILE$ESTIAP <- factor(R_FILE$ESTIAP, levels=ESTIAPlevels, labels=ESTIAPlabels)

#---SPECIFY A SAMPLING DESIGN---# 

svydsg <- svydesign(id=~SEQNUMT, strata=~STRATUM, weights=~WT, data=R_FILE)

#---U.S. TOTAL ESTIMATES AND STANDARD ERRORS---# 

r_nation <- svymean(~P_UTDTD, svydsg)

PERCENT_UTD <- round(r_nation*100,2) #CONVERT INTO PERCENT ESTIMATES(MEAN)

SE_UTD <- round(SE(r_nation)*100,2) #CONVERT INTO PERCENT ESTIMATES(SE)

r_nation_est <- cbind(PERCENT_UTD, SE_UTD)

title <- "PERCENT 1+ TD/TDAP ESTIMATES AT A NATIONWIDE LEVEL"

prn(r_nation_est, title)

#---ESTIMATION AREA ESTIMATES AND STANDARD ERRORS---# 

r_est <- svyby(~P_UTDTD, ~ESTIAP, svydsg, svymean)

r_est[,-c(1)] <- round(r_est[,-c(1)]*100,2) #CONVERT INTO PERCENT ESTIMATES

r_est <- subset(r_est, select=c(1,3,5))

#SELECT ESTIMATES FOR UP-TO-DATE CASES

names(r_est) <- c("ESTIMATION AREA", "PERCENT 1+ TD/TDAP UTD", "STANDARD ERROR UTD")

title <- "PERCENT 1+ TD/TDAP ESTIMATES BY ESTIMATION AREA"
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

124

prn(r_est, title)

######################

title <- "R_STATE.R"

######################################################################

#THIS PROGRAM WILL PRODUCE STATE ESTIMATES AND STANDARD ERRORS

#FOR 1+ TD/TDAP VACCINATIONS (P_UTDTD) USING R.

# 

#NOTE : THE STATE VARIABLE IS BASED ON STATE FIPS CODES. THERE ARE

#NO STATES WITH FIPS CODES 3,7,14,43,52,57-71,73-78. 

# 

#R NOTES:

#1. R IS CASE SENSITIVE.

#2. A FILE PATH IS SEPERATED BY SLASH(/)

######################################################################

library(survey) #TO USE svydesign(), svymean(), and svyby()

library(Hmisc) #TO USE prn()

dd <- "c:/nisteenpuf22" #"path-to-data"

#--- NAME OF R DATASET ---# 

in.file <- paste(dd,"/NISTEENPUF22.RData",sep="")

#---READ R DATASET---# 

load(in.file)

#---FORMAT---# 

UTDTDlevels=c(0,1)

UTDTDlabels=c("NOT 1+ TD/TDAP UTD", "1+ TD/TDAP UTD")

STATElevels=c(1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15, 16, 17,

18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,

36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 53,

54, 55, 56,72) 

STATElabels=c(

"ALABAMA",

"ALASKA",

"ARIZONA",

"ARKANSAS",

"CALIFORNIA",

"COLORADO",

"CONNECTICUT",

"DELAWARE",

"DISTRICT OF COLUMBIA",

"FLORIDA",

"GEORGIA",

"HAWAII",

"IDAHO",

"ILLINOIS", 

"INDIANA",

"IOWA",

"KANSAS",

"KENTUCKY",

"LOUISIANA",

"MAINE",

"MARYLAND",

"MASSACHUSETTS",

"MICHIGAN",

"MINNESOTA",

"MISSISSIPPI",

"MISSOURI", 

"MONTANA",

"NEBRASKA",

"NEVADA",

"NEW HAMPSHIRE",

"NEW JERSEY",

"NEW MEXICO",
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

125

"NEW YORK",

"NORTH CAROLINA",

"NORTH DAKOTA",

"OHIO",

"OKLAHOMA",

"OREGON",

"PENNSYLVANIA",

"RHODE ISLAND",

"SOUTH CAROLINA",

"SOUTH DAKOTA",

"TENNESSEE",

"TEXAS",

"UTAH",

"VERMONT",

"VIRGINIA", 

"WASHINGTON",

"WEST VIRGINIA",

"WISCONSIN",

"WYOMING", 

"PUERTO RICO" 

) 

#--- PROVWT_C WILL BE USED AS A WEIGHT (PROVWT_C IS THE SINGLE-FRAME CELLULAR PHONE WEIGHT 

EXCLUDING TERRITORIES; USE PROVWT_C_TERR TO INCLUDE TERRITORIES) ---# 

#---STRATUM WILL BE USED AS A STRATUM VARIABLE FOR VARIANCE ESTIMATION (USE STRATUM FOR 

ALL ESTIMATION ---# 

R_FILE <- subset(NISTEENPUF22, select=c(SEQNUMT, P_UTDTD, ESTIAPT22, STATE, PROVWT_C, STRATUM)) 

names(R_FILE) <- c("SEQNUMT", "P_UTDTD", "ESTIAP", "STATE", "WT", "STRATUM")

R_FILE <- na.omit(R_FILE)

#---ASSIGN LABELS---# 

R_FILE$P_UTDTD <- factor(R_FILE$P_UTDTD, levels=UTDTDlevels, labels=UTDTDlabels)

R_FILE$STATE <- factor(R_FILE$STATE, levels=STATElevels,

labels=STATElabels)

#---SPECIFY A SAMPLING DESIGN---# 

svydsg <- svydesign(id=~SEQNUMT, strata=~STRATUM, weights=~WT, data=R_FILE)

#---STATE ESTIMATES AND STANDARD ERRORS---# 

r_est2 <- svyby(~P_UTDTD, ~STATE, svydsg, svymean)

r_est2[,-c(1)] <- round(r_est2[,-c(1)]*100,2) #CONVERT INTO PERCENT ESTIMATES

r_est2 <- subset(r_est2, select=c(1,3,5)) #SELECT ESTIMATES FOR UP-TO-DATE CASES

names(r_est2) <- c("STATE", "PERCENT 1+ TD/TDAP UTD", "STANDARD ERROR UTD")

prn(r_est2, '1+ TD/TDAP ESTIMATES BY STATE')

######################

title <- "R_PROG_3.R" 

######################################################################

#THIS PROGRAM WILL PRODUCE A TABLE OF TEEN HAVING ASTHMA BY STATE FOR 

#ALL HOUSEHOLD COMPLETES USING RDDWT_C. THE PROGRAM USES R.

# 

#R NOTES:

#1. R IS CASE SENSITIVE.

#2. A FILE PATH IS SEPERATED BY SLASH(/)

######################################################################

library(survey) #TO USE svydesign(), svymean(), and svyby()

library(Hmisc) #TO USE prn()

library(prettyR) #TO USE freq()

dd <- "c:/nisteenpuf22" #"path-to-dataset"

#--- NAME OF R DATASET ---# 

in.file <- paste(dd,"/NISTEENPUF22.RData",sep="")

#---READ R DATASET---# 

load(in.file)

#---FORMAT---# 

ASTHMAlevels=c(1,2,77,99)

ASTHMAlabels=c("YES", "NO", "DON'T KNOW", "REFUSED")
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

126

STATElevels=c(1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15, 16, 17,

18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,

36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 53,

54, 55, 56,72) 

STATElabels=c(

"ALABAMA",

"ALASKA",

"ARIZONA",

"ARKANSAS",

"CALIFORNIA",

"COLORADO",

"CONNECTICUT",

"DELAWARE",

"DISTRICT OF COLUMBIA",

"FLORIDA",

"GEORGIA",

"HAWAII",

"IDAHO",

"ILLINOIS", 

"INDIANA",

"IOWA",

"KANSAS",

"KENTUCKY",

"LOUISIANA",

"MAINE",

"MARYLAND",

"MASSACHUSETTS",

"MICHIGAN",

"MINNESOTA",

"MISSISSIPPI",

"MISSOURI", 

"MONTANA",

"NEBRASKA",

"NEVADA",

"NEW HAMPSHIRE",

"NEW JERSEY",

"NEW MEXICO",

"NEW YORK",

"NORTH CAROLINA",

"NORTH DAKOTA",

"OHIO",

"OKLAHOMA",

"OREGON",

"PENNSYLVANIA",

"RHODE ISLAND",

"SOUTH CAROLINA",

"SOUTH DAKOTA",

"TENNESSEE",

"TEXAS",

"UTAH",

"VERMONT",

"VIRGINIA", 

"WASHINGTON",

"WEST VIRGINIA",

"WISCONSIN",

"WYOMING", 

"PUERTO RICO" 

) 

#--- RDDWT_C WILL BE USED AS A WEIGHT (RDDWT_C IS THE SINGLE-FRAME CELLULAR PHONE WEIGHT 

EXCLUDING TERRITORIES; USE RDDWT_C_TERR TO INCLUDE TERRITORIES) ---# 

#---STRATUM WILL BE USED AS A STRATUM VARIABLE FOR VARIANCE ESTIMATION (USE STRATUM FOR 

ALL ESTIMATION ---# 

R_FILE <- subset(NISTEENPUF22, select=c(SEQNUMT, ESTIAPT22, STATE, ASTHMA, RDDWT_C, STRATUM)) 

names(R_FILE) <- c("SEQNUMT", "ESTIAP", "STATE", "ASTHMA", "WT", "STRATUM")
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

127

#LIMIT FILE TO CASES WITH NON-MISSING VALUES OF ASTHMA

R_FILE <- subset(R_FILE, ASTHMA %in% c(1,2))

#---ASSIGN LABELS---# 

R_FILE$ASTHMA <- factor(R_FILE$ASTHMA, levels=ASTHMAlevels, labels=ASTHMAlabels)

R_FILE$STATE <- factor(R_FILE$STATE, levels=STATElevels, labels=STATElabels)

R_FILE <- na.omit(R_FILE)

summary(R_FILE$ASTHMA)

#---SPECIFY A SAMPLING DESIGN---# 

svydsg <- svydesign(id=~SEQNUMT, strata=~STRATUM, weights=~WT, data=R_FILE)

#---U.S. TOTAL ESTIMATES AND STANDARD ERRORS---# 

r_nation <- svymean(~ASTHMA, svydsg)

PERCENT_UTD <- round(r_nation*100,2) #CONVERT INTO PERCENT ESTIMATES(MEAN)

SE_UTD <- round(SE(r_nation)*100,2) #CONVERT INTO PERCENT ESTIMATES(SE)

r_nation_est3 <- cbind(PERCENT_UTD, SE_UTD)

prn(r_nation_est3, "PERCENT ASTHMA = YES ESTIMATES AT A NATIONWIDE LEVEL\n")

#---ASTHMA = YES ESTIMATES BY STATE---# 

r_est3 <- svyby(~ASTHMA, ~STATE, svydsg, svymean)

r_est3[,-c(1)] <- round(r_est3[,-c(1)]*100,2) #CONVERT INTO PERCENT ESTIMATES

r_est3 <- subset(r_est3, select=c(1,2,6)) #SELECT ESTIMATES FOR ASTHMA=YES

names(r_est3) <- c("STATE", "PERCENT ASTHMA=YES", "STANDARD ERROR ASTHMA=Y")

prn(r_est3, 'PERCENT ASTHMA ESTIMATES BY STATE') 

######################

title <- "PROG_4.R" 

#########################################################################

#TABLE OF P_UTDTD BY INCPOV1 BY RACE_K. SAVE % UTD

#ESTIMATES (NOT S.E.'S) FOR USE IN THE PROGRAM GRAPH_4.

# 

#THIS PROGRAM WILL PRODUCE ESTIMATES USING R.

# 

#R NOTES:

#1. R IS CASE SENSITIVE.

#2. A FILE PATH IS SEPERATED BY SLASH(/)

#########################################################################

library(survey) #TO USE svydesign(), svymean(), and svyby()

library(Hmisc) #TO USE prn()

dd <- "c:/nisteenpuf22" #"path-to-dataset"

out <-"c:/nisteenpuf22" #"path where output will go"

#--- NAME OF R DATASET ---# 

in.file <- paste(dd,"/NISTEENPUF22.RData",sep="")

#---READ R DATASET---# 

load(in.file)

#---FORMAT---# 

UTDTDlevels=c(0,1)

UTDTDlabels=c("NOT 1+ TD/TDAP UTD", "1+ TD/TDAP UTD")

RACE_PUFlevels=c(1,2,3)

RACE_PUFlabels=c("WHITE ONLY", "BLACK ONLY", "OTHER + MULTIPLE RACE")

INCPOVlevels=c(1,2,3,4)

INCPOVlabels=c("ABOVE POVERTY, > $75K", "ABOVE POVERTY, <= $75K", "BELOW POVERTY", "UNKNOWN")

#--- PROVWT_C WILL BE USED AS A WEIGHT (PROVWT_C IS THE SINGLE-FRAME CELLULAR PHONE WEIGHT 

EXCLUDING TERRITORIES; USE PROVWT_C_TERR TO INCLUDE TERRITORIES) ---# 

#---STRATUM WILL BE USED AS A STRATUM VARIABLE FOR VARIANCE ESTIMATION (USE STRATUM FOR 

ALL ESTIMATION ---# 

R_FILE <- subset(NISTEENPUF22, select=c(SEQNUMT, P_UTDTD, ESTIAPT22, RACE_K, INCPOV1, PROVWT_C, 

STRATUM, PDAT2)) 

names(R_FILE) <- c("SEQNUMT", "P_UTDTD", "ESTIAP", "RACE_K", "INCPOV1", "WT", "STRATUM", "PDAT2")

#---ASSIGN LABELS---# 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

128

R_FILE$P_UTDTD <- factor(R_FILE$P_UTDTD, levels=UTDTDlevels, labels=UTDTDlabels, exclude=NULL)

R_FILE$RACE_K <- factor(R_FILE$RACE_K, levels=RACE_PUFlevels, labels=RACE_PUFlabels, exclude=NULL)

R_FILE$INCPOV1 <- factor(R_FILE$INCPOV1, levels=INCPOVlevels,labels=INCPOVlabels, exclude=NULL)

#---UNWEIGHTED FREQUENCIES---# 

unwt_freq <- function(UNWT.VAR){#FUNCTION TO PRINT UNWEIGHTED FREQUENCIES

unwt.tab <- wtd.table(UNWT.VAR, weights= NULL, type='table')

unwtd.freq <- data.frame(cbind(

unwt.tab, round(unwt.tab/sum(unwt.tab)*100,2),

cumsum(unwt.tab), cumsum(round(unwt.tab/sum(unwt.tab)*100,2))))

names(unwtd.freq) <- c("Frequency", "Percent", "Cumulative Frequency", "Cumulative Percent")

unwtd.title <- paste('Table 4A. Q1/2022 - Q4/2022', 'UNWEIGHTED FREQUENCIES', label(UNWT.VAR), sep="\n")

label(unwtd.freq) <- unwtd.title

print(unwtd.freq)

} 

unwt_freq(R_FILE$P_UTDTD[R_FILE$PDAT2 == 1])

unwt_freq(R_FILE$INCPOV1[R_FILE$PDAT2 == 1])

unwt_freq(R_FILE$RACE_K[R_FILE$PDAT2 == 1])

R_FILE <- na.omit(R_FILE)

#---SPECIFY A SAMPLING DESIGN---# 

svydsg <- svydesign(id=~SEQNUMT, strata=~STRATUM, weights=~WT, data=R_FILE)

#---PERCENT 1+ TD/TDAP UP-TO-DATE AND ESTIMATED STANDARD ERRORS---# 

r_est4 <- svyby(~P_UTDTD, ~RACE_K+INCPOV1, svydsg, svymean)

r_est4[,-c(1,2)] <- round(r_est4[,-c(1,2)]*100,2) #CONVERT INTO PERCENT ESTIMATES

r_est4 <- subset(r_est4, select=c(1,2,4,6)) #SELECT ESTIMATES FOR UP-TO-DATE CASES

names(r_est4) <- c("RACE", "INCOME", "PERCENT_UTD", "STANDARD_ERROR_UTD")

title <- "Table 4B. Q1/2022 - Q4/2022, 1+ TD/TDAP ESTIMATES BY INCPOV1 BY RACE_K"

prn(r_est4, title)

#---SAVE PERCENT UP-TO-DATE ESTIMATES FOR USE IN THE PROGRAM GRAPH_4---# 

r_est4 <- subset(r_est4, select=c(RACE, INCOME, PERCENT_UTD))

save(r_est4, file=paste(out, "/r_est4_20", sep=""))

######################

title <- "GRAPH_4.R"

#########################################################################

#THIS PROGRAM BUILDS OFF OF THE PROGRAM PROG_4. IT PRODUCES A CHART OF

#P_UTDTD BY INCPOV1 BY RACE_K. IT CREATES A BAR GRAPH IN R

#FOR THE 4X3 = 12 CELLS.

#R NOTES:

#1. R IS CASE SENSITIVE.

#2. A FILE PATH IS SEPERATED BY SLASH(/)

#########################################################################

library(survey) #TO USE svydesign(), svymean(), and svyby()

library(Hmisc) #TO USE prn()

dd <- "c:/nisteenpuf22" #---SPECIFY PATH TO R DATASET THAT WAS THE OUTPUT OF R_PROG_4---# 

out <- "c:/nisteenpuf22" #---SPECIFY THE PATH FOR WHERE YOU WANT THE CHART OUTPUT TO GO---# 

#---NAME OF R DATASET OUTPUT FROM R_PROG_4---# 

in.file <- paste(dd,"/r_est4_20",sep="")

#---READ R DATASET---# 

load(in.file)

#---BARCHART---# 

#NOTE:R DOES NOT SUPPORT CREATING A HTML FILE CONTAINING A BARCHART#

#CREATE A DATA MATRIX FOR DRAWING A BARCHART#

utdmmr <- matrix(r_est4$PERCENT_UTD, nrow=3, ncol=4, byrow=F, dimnames=list(levels(r_est4$RACE), 

levels(r_est4$INCOME))) 

#CREATE GRAPH_4.GIF#

barplot(utdmmr, beside=TRUE, space=c(0.2,1),

 col = c("wheat", "lightpink2", "forestgreen"),

 axis.lty = 1,

 sub="(Graph 4 using 'R')", cex.sub=1, ylim=c(0,120),

 xlab="Poverty Status",

 ylab="1+ TD/TDAP Up-To-Date (%)", cex=1.1, cex.names=1, cex.lab=1.5, border=NA)
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

129

legend("top", rownames(utdmmr), col=c("wheat", "lightpink2",

 "forestgreen"), title="Race of Teen", pch=10, cex=1.25)

title1 <- "Percentage of Teens Up-to-Date with 1+ TD/TDAP \n"

title2 <- "by Race and Poverty Status, National Immunization Survey - Teen, 2022\n"

mtext(paste(title1,title2), cex=1.5)
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

130
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

131

Appendix D: Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files 

Table D.1 Alphabetical Listing of Variables in the Public-Use Data Files, National Immunization Survey - Teen, 2008-2022 

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

AGE AGE IN YEARS OF 

SELECTED TEEN Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

AGEGRP_M_I

MOTHER'S AGE 

CATEGORIES: IMPUTED 

(RECODE)

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

-

ASTHMA

HAS TEEN BEEN TOLD 

BY DOCTOR OR OTHER 

HEALTH PROFESSIONAL 

THAT HE/SHE HAS 

ASTHMA?

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

-

C1R NUMBER OF PEOPLE IN 

HOUSEHOLD (RECODE) Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

C5R

RELATIONSHIP OF 

RESPONDENT TO TEEN 

(RECODE)

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

-

CEN_REG

CENSUS REGION BASED 

ON TRUE STATE OF 

RESIDENCE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

-

CHILDNM

NUMBER OF CHILDREN 

UNDER 18 YEARS OF AGE 

IN HH (RECODE)

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

-

CKUP_11_12

DID TEEN HAVE AN 11-12 

YEAR OLD WELL-CHILD 

EXAM OR CHECK-UP?

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

-

CKUP_AGE AGE IN YEARS AT LAST 

CHECK-UP Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

CKUP_LAST

WAS TEEN'S LAST 

CHECK-UP MORE OR 

LESS THAN (AGE - 12) 

YEARS AGO?

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

-

CPOX_AGE

AGE IN YEARS WHEN 

HAD CHICKEN POX 

DISEASE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

-

CPOX_AGER AGE RANGE WHEN HAD 

CHICKEN POX DISEASE Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

CPOX_HAD TEEN EVER HAD 

CHICKEN POX DISEASE? Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

132

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

D6R

NUMBER OF PROVIDERS 

IDENTIFIED BY 

RESPONDENT (NOT DEDUPLICATED) (RECODE)

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

D7

CONSENT TO OBTAIN 

VACCINATION RECORDS 

FROM PROVIDERS

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

EDUC_TR TEEN'S CURRENT GRADE 

IN SCHOOL (RECODE) Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y - 

EDUC1

EDUCATION LEVEL OF 

MOTHER WITH 4 

CATEGORIES: IMPUTED 

(RECODE)

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y - 

EST_GRANT

AREA OF RESIDENCE 

PER THE 56 CORE NIS 

GRANTEE AREAS

- - - - Y Y Y Y Y Y Y Y Y Y Y 

Added in 2012 to facilitate 

production of estimates for the 56 

core areas.

ESTIAPT08 ESTIMATION AREA OF 

RESIDENCE Y - - - - - - - - - - - - - - Replaced by ESTIAPT09 in 2009.

ESTIAPT09 ESTIMATION AREA OF 

RESIDENCE - Y - - - - - - - - - - - - -

Replaced ESTIAPT08 in 2009 

because estimation areas were 

modified. Replaced by ESTIAPT10 

in 2010.

ESTIAPT10 ESTIMATION AREA OF 

RESIDENCE - - Y - - - - - - - - - - - -

Replaced ESTIAPT09 in 2010 

because estimation areas were 

modified. Replaced by ESTIAPT11 

in 2011.

ESTIAPT11 ESTIMATION AREA OF 

RESIDENCE - - - Y - - - - - - - - - - -

Replaced ESTIAPT10 in 2011 

because estimation areas were 

modified. Replaced by ESTIAPT12 

in 2012.

ESTIAPT12 ESTIMATION AREA OF 

RESIDENCE - - - - Y - - - - - - - - - -

Replaced ESTIAPT11 in 2012 

because estimation areas were 

modified. Replaced by ESTIAPT13 

in 2013.

ESTIAPT13 ESTIMATION AREA OF 

RESIDENCE - - - - - Y - - - - - - - - -

Replaced ESTIAPT12 in 2013 

because estimation areas were 

modified. Replaced by ESTIAPT14 

in 2014.

ESTIAPT14 ESTIMATION AREA OF 

RESIDENCE - - - - - - Y - - - - - - - -

Replaced ESTIAPT13 in 2014 

because estimation areas were 

modified. Replaced by ESTIAPT15 

in 2015.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

133

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

ESTIAPT15 ESTIMATION AREA OF 

RESIDENCE - - - - - - - Y - - - - - - -

Replaced ESTIAPT14 in 2015 

because estimation areas were 

modified. Replaced by ESTIAPT16 

in 2016.

ESTIAPT16 ESTIMATION AREA OF 

RESIDENCE - - - - - - - - Y - - - - - -

Replaced ESTIAPT15 in 2016 

because estimation areas were 

modified. Replaced by ESTIAPT17 

in 2017.

ESTIAPT17 ESTIMATION AREA OF 

RESIDENCE - - - - - - - - - Y - - - - -

Replaced ESTIAPT16 in 2017 

because estimation areas were 

modified. Replaced by ESTIAPT18 

in 2018.

ESTIAPT18 ESTIMATION AREA OF 

RESIDENCE - - - - - - - - - - Y - - - -

Replaced ESTIAPT17 in 2018 

because estimation areas were 

modified. Replaced by ESTIAPT19 

in 2019.

ESTIAPT19 ESTIMATION AREA OF 

RESIDENCE - - - - - - - - - - - Y 

Replaced ESTIAPT18 in 2019 

because estimation areas were 

modified. Replaced by ESTIAPT20 

in 2020.

ESTIAPT20 ESTIMATION AREA OF 

RESIDENCE Y 

Replaced ESTIAPT19 in 2020 

because estimation areas were 

modified. Replaced by ESTIAPT21 

in 2021.

ESTIAPT21 ESTIMATION AREA OF 

RESIDENCE Y 

Replaced ESTIAPT20 in 2021 

because estimation areas were 

modified. Replaced by ESTIAPT22 

in 2022.

ESTIAPT22 ESTIMATION AREA OF 

RESIDENCE Y

Replaced ESTIAPT21 in 2022 

because estimation areas were 

modified.

FACILITY FACILITY TYPES FOR 

TEEN'S PROVIDERS Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

FLU_AGE

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

INFLUENZA 

VACCINATION 

RECEIVED MOST 

RECENTLY

Y - - - - - - - - - - - - - - Dropped in 2009 due to midYear 

questionnaire changes.

FLU_AGE1

AGE IN YEARS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #1

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

134

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

FLU_AGE2

AGE IN YEARS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #2

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_AGE3

AGE IN YEARS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #3

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_AGE4

AGE IN YEARS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #4

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_AGE5

AGE IN YEARS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #5

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_AGE6

AGE IN YEARS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #6

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_AGE7

AGE IN YEARS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #7

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_AGE8

AGE IN YEARS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #8

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_AGE9

AGE IN YEARS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #9

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_ANY_REC

HH-REPORT: HAS TEEN 

RECEIVED ANY 

INFLUENZA 

VACCINATIONS IN PAST 

12 MONTHS? (RECALL)

Y - - - - - - - - - - - - - - Dropped in 2009 due to midYear 

questionnaire changes.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

135

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

FLU_ANY_SC

HH-REPORT: HAS TEEN 

RECEIVED ANY 

INFLUENZA 

VACCINATIONS IN PAST 

12 MONTHS? 

(SHOTCARD)

Y - - - - - - - - - - - - - - Dropped in 2009 due to midYear 

questionnaire changes.

FLU_DAGE1

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #1

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_DAGE2

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #2

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_DAGE3

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #3

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_DAGE4

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #4

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_DAGE5

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #5

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_DAGE6

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #6

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_DAGE7

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #7

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

136

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

FLU_DAGE8

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #8

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_DAGE9

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #9

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_MAGE1

AGE IN MONTHS OF 

PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #1

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_MAGE2

AGE IN MONTHS OF 

PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #2

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_MAGE3

AGE IN MONTHS OF 

PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #3

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_MAGE4

AGE IN MONTHS OF 

PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #4

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_MAGE5

AGE IN MONTHS OF 

PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #5

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_MAGE6

AGE IN MONTHS OF 

PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #6

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_MAGE7

AGE IN MONTHS OF 

PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #7

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

137

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

FLU_MAGE8

AGE IN MONTHS OF 

PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #8

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_MAGE9

AGE IN MONTHS OF 

PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #9

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

FLU_MONTH

MONTH OF HHREPORTED INFLUENZA 

VACCINATION 

RECEIVED MOST 

RECENTLY

Y - - - - - - - - - - - - - - Dropped in 2009 due to midYear 

questionnaire changes.

FLU_MONTH1

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #1

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_MONTH2

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #2

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_MONTH3

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #3

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_MONTH4

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #4

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_MONTH5

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #5

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_MONTH6

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #6

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

138

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

FLU_MONTH7

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #7

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_MONTH8

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #8

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_MONTH9

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #9

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_PLACE

KIND OF PLACE TEEN 

RECEIVED MOST 

RECENT FLU SHOT OR 

SPRAY

Y - - - - - - - - - - - - - - Dropped in 2009 due to midYear 

questionnaire changes.

FLU_TYPE

TYPE OF HH-REPORTED 

INFLUENZA 

VACCINATION 

RECEIVED MOST 

RECENTLY

Y - - - - - - - - - - - - - - Dropped in 2009 due to midYear 

questionnaire changes.

FLU_YEAR

YEAR OF HH-REPORTED 

INFLUENZA 

VACCINATION 

RECEIVED MOST 

RECENTLY

Y - - - - - - - - - - - - - - Dropped in 2009 due to midYear 

questionnaire changes.

FLU_YEAR1

YEAR OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #1

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_YEAR2

YEAR OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #2

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_YEAR3

YEAR OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #3

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

139

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

FLU_YEAR4

YEAR OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #4

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_YEAR5

YEAR OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #5

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_YEAR6

YEAR OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #6

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_YEAR7

YEAR OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #7

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_YEAR8

YEAR OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #8

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

FLU_YEAR9

YEAR OF PROVREPORTED SEASONAL 

INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #9

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

H1N_AGE1

AGE IN YEARS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #1

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_AGE2

AGE IN YEARS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #2

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_AGE3

AGE IN YEARS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #3

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

140

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

H1N_AGE4

AGE IN YEARS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #4

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_AGE5

AGE IN YEARS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #5

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_AGE6

AGE IN YEARS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #6

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_AGE7

AGE IN YEARS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #7

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_AGE8

AGE IN YEARS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #8

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_AGE9

AGE IN YEARS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #9

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_DAGE1

AGE IN DAYS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #1

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_DAGE2

AGE IN DAYS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #2

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_DAGE3

AGE IN DAYS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #3

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

141

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

H1N_DAGE4

AGE IN DAYS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #4

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_DAGE5

AGE IN DAYS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #5

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_DAGE6

AGE IN DAYS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #6

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_DAGE7

AGE IN DAYS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #7

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_DAGE8

AGE IN DAYS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #8

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_DAGE9

AGE IN DAYS OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #9

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_MAGE1

AGE IN MONTHS OF 

PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #1

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_MAGE2

AGE IN MONTHS OF 

PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #2

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_MAGE3

AGE IN MONTHS OF 

PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #3

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

142

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

H1N_MAGE4

AGE IN MONTHS OF 

PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #4

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_MAGE5

AGE IN MONTHS OF 

PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #5

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_MAGE6

AGE IN MONTHS OF 

PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #6

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_MAGE7

AGE IN MONTHS OF 

PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #7

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_MAGE8

AGE IN MONTHS OF 

PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #8

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_MAGE9

AGE IN MONTHS OF 

PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #9

- - - Y Y - - - - - - - - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. H1N1 influenza was removed 

from the IHQ and the PUF in 2013.

H1N_MONTH1

MONTH OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #1

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_MONTH2

MONTH OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #2

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_MONTH3

MONTH OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #3

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

143

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

H1N_MONTH4

MONTH OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #4

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_MONTH5

MONTH OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #5

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_MONTH6

MONTH OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #6

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_MONTH7

MONTH OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #7

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_MONTH8

MONTH OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #8

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_MONTH9

MONTH OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #9

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_YEAR1

YEAR OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #1

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_YEAR2

YEAR OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #2

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_YEAR3

YEAR OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #3

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

144

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

H1N_YEAR4

YEAR OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #4

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_YEAR5

YEAR OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #5

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_YEAR6

YEAR OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #6

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_YEAR7

YEAR OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #7

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_YEAR8

YEAR OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #8

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

H1N_YEAR9

YEAR OF PROVREPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #9

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

HEPA_AGE_SC1

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS A SHOT #1 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPA_AGE_SC2

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS A SHOT #2 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPA_AGE_SC3

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS A SHOT #3 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

145

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HEPA_AGE_SC4

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS A SHOT #4 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPA_AGE_SC5

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS A SHOT #5 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPA_AGE_SC6

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS A SHOT #6 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPA_AGE_SC7

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS A SHOT #7 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPA_AGE_SC8

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS A SHOT #8 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPA_AGE1

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #1

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPA_AGE2

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #2

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPA_AGE3

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #3

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPA_AGE4

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #4

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPA_AGE5

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #5

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPA_AGE6

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #6

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPA_AGE7

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #7

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPA_AGE8

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #8

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

146

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HEPA_AGE9

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #9

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPA_ANY_REC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

HEPATITIS A SHOTS? 

(RECALL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPA_ANY_SC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

HEPATITIS A SHOTS? 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPA_DAGE1

AGE IN DAYS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #1

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_DAGE2

AGE IN DAYS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #2

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_DAGE3

AGE IN DAYS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #3

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_DAGE4

AGE IN DAYS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #4

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_DAGE5

AGE IN DAYS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #5

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_DAGE6

AGE IN DAYS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #6

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

147

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HEPA_DAGE7

AGE IN DAYS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #7

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_DAGE8

AGE IN DAYS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #8

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_DAGE9

AGE IN DAYS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #9

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_MAGE1

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS ACONTAINING SHOT #1

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_MAGE2

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS ACONTAINING SHOT #2

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_MAGE3

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS ACONTAINING SHOT #3

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_MAGE4

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS ACONTAINING SHOT #4

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_MAGE5

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS ACONTAINING SHOT #5

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_MAGE6

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS ACONTAINING SHOT #6

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

148

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HEPA_MAGE7

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS ACONTAINING SHOT #7

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_MAGE8

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS ACONTAINING SHOT #8

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_MAGE9

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS ACONTAINING SHOT #9

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPA_NUM_REC

NUMBER OF HHREPORTED HEPATITIS A 

SHOTS RECEIVED 

(RECALL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire. 

HEPA_NUM_SC

NUMBER OF HHREPORTED HEPATITIS A 

SHOTS RECEIVED 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPA_NUM_TOT

NUMBER OF HHREPORTED HEPATITIS A 

SHOTS RECEIVED 

(TOTAL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPA_RECOM

HAD OR HAS DOCTOR OR 

OTHER HEALTH CARE 

PROFESSIONAL EVER 

RECOMMENDED 

HEPATITIS A SHOTS?

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_AGE_SC1

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS B SHOT #1 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_AGE_SC2

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS B SHOT #2 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_AGE_SC3

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS B SHOT #3 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

149

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HEPB_AGE_SC4

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS B SHOT #4 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_AGE_SC5

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS B SHOT #5 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_AGE_SC6

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS B SHOT #6 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_AGE_SC7

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS B SHOT #7 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_AGE_SC8

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HEPATITIS B SHOT #8 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_AGE1

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #1

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPB_AGE2

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #2

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPB_AGE3

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #3

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPB_AGE4

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #4

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPB_AGE5

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #5

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPB_AGE6

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #6

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPB_AGE7

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #7

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPB_AGE8

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #8

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

150

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HEPB_AGE9

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #9

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

HEPB_ANY_REC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

HEPATITIS B SHOTS? 

(RECALL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_ANY_SC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

HEPATITIS B SHOTS? 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_DAGE1

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #1

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_DAGE2

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #2

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_DAGE3

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #3

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_DAGE4

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #4

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_DAGE5

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #5

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_DAGE6

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #6

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

151

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HEPB_DAGE7

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #7

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_DAGE8

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #8

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_DAGE9

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #9

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_MAGE1

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS BCONTAINING SHOT #1

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_MAGE2

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS BCONTAINING SHOT #2

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_MAGE3

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS BCONTAINING SHOT #3

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_MAGE4

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS BCONTAINING SHOT #4

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_MAGE5

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS BCONTAINING SHOT #5

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_MAGE6

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS BCONTAINING SHOT #6

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

152

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HEPB_MAGE7

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS BCONTAINING SHOT #7

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_MAGE8

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS BCONTAINING SHOT #8

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_MAGE9

AGE IN MONTHS OF 

PROV-REPORTED 

HEPATITIS BCONTAINING SHOT #9

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

HEPB_NUM_REC

NUMBER OF HHREPORTED HEPATITIS B 

SHOTS RECEIVED 

(RECALL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_NUM_SC

NUMBER OF HHREPORTED HEPATITIS B 

SHOTS RECEIVED 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_NUM_TOT

NUMBER OF HHREPORTED HEPATITIS B 

SHOTS RECEIVED 

(TOTAL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_SCH

DID TEEN RECEIVE 

HEPATITIS B SHOTS 

BECAUSE OF SCHOOL 

REQUIREMENT?

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HH_FLU

HH REPORT OF NUMBER 

OF SEASONAL 

INFLUENZACONTAINING 

VACCINATIONS 

RECEIVED IN THE 12 

MONTHS PRIOR TO 

INTERVIEW

- - Y - - - - - - - - - - - -

Added in 2010 to replace previous 

influenza variables dropped in 2009. 

Dropped in 2011 due to midYear 

questionnaire changes.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

153

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HH_H1N

HH REPORT OF NUMBER 

OF MONOVALENT 2009 

H1N1 INFLUENZA 

VACCINATIONS 

RECEIVED IN THE 

TWELVE MONTHS PRIOR 

TO INTERVIEW

- - Y - - - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Dropped in 2011 due to midYear 

questionnaire changes.

HPV_AGE1

AGE IN YEARS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#1

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPV_AGE2

AGE IN YEARS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#2

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPV_AGE3

AGE IN YEARS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#3

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPV_AGE4

AGE IN YEARS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#4

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPV_AGE5

AGE IN YEARS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#5

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPV_AGE6

AGE IN YEARS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#6

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPV_AGE7

AGE IN YEARS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#7

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPV_AGE8

AGE IN YEARS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#8

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPV_AGE9

AGE IN YEARS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#9

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

154

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HPV_DAGE1

AGE IN DAYS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#1

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_DAGE2

AGE IN DAYS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#2

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_DAGE3

AGE IN DAYS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#3

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_DAGE4

AGE IN DAYS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#4

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_DAGE5

AGE IN DAYS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#5

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_DAGE6

AGE IN DAYS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#6

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_DAGE7

AGE IN DAYS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#7

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_DAGE8

AGE IN DAYS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#8

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_DAGE9

AGE IN DAYS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT 

#9

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_MAGE1

AGE IN MONTHS OF 

PROV-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#1

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

155

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HPV_MAGE2

AGE IN MONTHS OF 

PROV-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#2

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_MAGE3

AGE IN MONTHS OF 

PROV-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#3

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_MAGE4

AGE IN MONTHS OF 

PROV-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#4

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_MAGE5

AGE IN MONTHS OF 

PROV-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#5

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_MAGE6

AGE IN MONTHS OF 

PROV-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#6

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_MAGE7

AGE IN MONTHS OF 

PROV-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#7

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_MAGE8

AGE IN MONTHS OF 

PROV-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#8

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPV_MAGE9

AGE IN MONTHS OF 

PROV-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#9

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

HPVI_AGE_SC1

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#1 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

156

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HPVI_AGE_SC2

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#2 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HPVI_AGE_SC3

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#3 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HPVI_AGE_SC4

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#4 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HPVI_AGE_SC5

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#5 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HPVI_AGE_SC6

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#6 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HPVI_AGE_SC7

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#7 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HPVI_AGE_SC8

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

HUMAN 

PAPILLOMAVIRUS SHOT 

#8 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HPVI_ANY

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

HUMAN 

PAPILLOMAVIRUS 

SHOTS?

- - - - - - - Y Y Y Y Y Y Y Y Replaced HPVI_ANY_REC in 2015.

HPVI_ANY_REC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

HUMAN 

PAPILLOMAVIRUS 

SHOTS? (RECALL)

Y Y Y Y Y Y Y - - - - - - - - Replaced by HPVI_ANY in 2015.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

157

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HPVI_ANY_SC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

HUMAN 

PAPILLOMAVIRUS 

SHOTS? (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HPVI_HEARD

HAVE YOU EVER HEARD 

OF HUMAN 

PAPILLOMAVIRUS?

Y Y Y Y - - - - - - - - - - - Dropped in 2012 due to questionnaire 

changes.

HPVI_INTENTR

HOW LIKELY IS IT TEEN 

WILL RECEIVE HPV 

SHOTS IN NEXT 12 

MONTHS?

- - Y Y Y Y Y Y Y Y Y Y Y Y Y Added to the PUF in 2010.

HPVI_KNOW

HAVE YOU EVER HEARD 

OF THE CERVICAL 

CANCER VACCINE, HPV 

SHOT, OR GARDASIL?

Y Y Y Y - - - - - - - - - - - Dropped in 2012 due to questionnaire 

changes.

HPVI_NUM_REC

NUMBER OF HHREPORTED HUMAN 

PAPILLOMAVIRUS 

SHOTS RECEIVED 

(RECALL)

Y Y Y Y Y Y Y - - - - - - - - Replaced by HPVI_NUM_TOT in 

2015.

HPVI_NUM_SC

NUMBER OF HHREPORTED HUMAN 

PAPILLOMAVIRUS 

SHOTS RECEIVED 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HPVI_NUM_TOT

NUMBER OF HHREPORTED HUMAN 

PAPILLOMAVIRUS 

SHOTS RECEIVED 

(TOTAL)

Y Y Y Y Y Y - Y Y Y Y Y Y Y Y Dropped in 2014 due to shortened 

questionnaire; added back in 2015.

HPVI_REAS_1

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: NOT 

RECOMMENDED

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

HPVI_REAS_10

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: COSTS

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

158

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HPVI_REAS_11

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: SAFETY 

CONCERN/SIDE EFFECTS

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_12

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: 

EFFECTIVENESS 

CONCERN

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_13

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: TEEN FEARFUL

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_14

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: TEEN SHOULD 

MAKE DECISION

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_15

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: COLLEGE 

SHOT

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_16

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: DON'T 

BELIEVE IN 

IMMUNIZATIONS

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

159

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HPVI_REAS_17

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: 

FAMILY/PARENTAL 

DECISION

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_18

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: 

HANDICAPPED/SPECIAL 

NEEDS/ILLNESS

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_19

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: 

RELIGION/ORTHODOX

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_2

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: NOT NEEDED 

OR NOT NECESSARY

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_20

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: TIME

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_21

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: MORE 

INFO/NEW VACCINE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

160

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HPVI_REAS_22

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: ALREADY UPTO-DATE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_23

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: NOT 

AVAILABLE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_24

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: NOT A SCHOOL 

REQUIREMENT

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_25

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: INCREASED 

SEXUAL ACTIVITY 

CONCERN

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_26

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: NO OB/GYN

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_27

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: ALREADY 

SEXUALLY ACTIVE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

161

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HPVI_REAS_28

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: NO DOCTOR 

OR DOCTOR'S VISIT NOT 

SCHEDULED

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_29

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: TEEN IS MALE

- - Y Y Y Y Y Y Y Y Y Y Y Y Y Additional reason flag added in 2010.

HPVI_REAS_3

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: LACK OF 

KNOWLEDGE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

HPVI_REAS_30

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: INTEND TO 

COMPLETE BUT HAVE 

NOT YET/ALREADY 

PLANNED

- - - - - - - - Y Y Y Y Y Y Y Additional reason flag added in 2016.

HPVI_REAS_31

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: DIFFICULTY 

MAKING OR GETTING TO 

APPOINTMENT/TRANSPO

RTATION PROBLEMS

- - - - - - - - Y Y Y Y Y Y Y Additional reason flag added in 2016.

HPVI_REAS_32

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: COVID-19 

PANDEMIC

Y Y Y Additional reason flag added in 2020.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

162

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

HPVI_REAS_5

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: NOT 

SEXUALLY ACTIVE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_6

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: NOT 

APPROPRIATE AGE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_REAS_9

MAIN REASON TEEN 

WILL NOT RECEIVE 

HUMAN 

PAPILLOMAVIRUS 

SHOTS IN THE NEXT 12 

MONTHS: OTHER 

REASON

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

HPVI_RECOM

HAD OR HAS DOCTOR OR 

OTHER HEALTH CARE 

PROFESSIONAL EVER 

RECOMMENDED THAT 

TEEN RECEIVE HPV 

SHOTS?

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

I_HISP_K IS TEEN HISPANIC OR 

LATINO?: IMPUTED Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y - 

IMM_ANY

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

VACCINATIONS?

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

INCPORAR INCOME TO POVERTY 

RATIO (RECODE) Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y - 

INCPORAR_I

INCOME TO POVERTY 

RATIO: IMPUTED 

(RECODE)

- - - - - - - - Y Y Y Y Y Y Y Imputed version of INCPORAR 

added in 2016.

INCPOV1 POVERTY STATUS Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y - 

INCQ298A FAMILY INCOME 

CATEGORIES (RECODE) Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y - 

INS_BREAK_I

CONTINUITY OF 

INSURANCE COVERAGE 

SINCE AGE 11: IMPUTED

- - - - - - - - Y Y Y Y Y Y Y Replaced TIS_INS_1-TIS_INS_11 

starting in 2016.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

163

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

INS_STAT_I

INSURANCE STATUS 

(ANY PRIVATE/ANY 

MEDICAID/OTHER 

INSURANCE/UNINSURED

): IMPUTED

- - - - - - - - Y - - - - - -

Replaced TIS_INS_1-TIS_INS_11 

starting in 2016. Replaced by 

INS_STAT2_I in 2017.

INS_STAT2_I

INSURANCE STATUS 

(PRIVATE ONLY/ANY 

MEDICAID/OTHER 

INSURANCE/UNINSURED

): IMPUTED

- - - - - - - - - Y Y Y Y Y Y Replaced INS_STAT_I starting in 

2017.

LANGUAGE

LANGUAGE IN WHICH 

INTERVIEW WAS 

CONDUCTED

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

MARITAL

MARITAL STATUS OF 

MOTHER: IMPUTED 

(COLLAPSED)

Y - - - - - - - - - - - - - - Replaced by MARITAL2 starting in 

2009.

MARITAL2

MARITAL STATUS OF 

MOTHER: IMPUTED 

(RECODE)

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Replaced MARITAL starting in 

2009.

MCV_AGE_SC1

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MEASLES OR MMR SHOT 

#1 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MCV_AGE_SC2

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MEASLES OR MMR SHOT 

#2 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MCV_AGE_SC3

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MEASLES OR MMR SHOT 

#3 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MCV_AGE_SC4

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MEASLES OR MMR SHOT 

#4 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MCV_AGE_SC5

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MEASLES OR MMR SHOT 

#5 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MCV_AGE_SC6

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MEASLES OR MMR SHOT 

#6 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

164

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MCV_AGE_SC7

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MEASLES OR MMR SHOT 

#7 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MCV_AGE_SC8

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MEASLES OR MMR SHOT 

#8 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MCV_AGE1

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING SHOT #1

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

MCV_AGE2

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING SHOT #2

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

MCV_AGE3

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING SHOT #3

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

MCV_AGE4

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING SHOT #4

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

MCV_AGE5

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING SHOT #5

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

MCV_AGE6

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING SHOT #6

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

MCV_AGE7

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING SHOT #7

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

MCV_AGE8

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING SHOT #8

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

MCV_AGE9

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING SHOT #9

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

MCV_ANY_REC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

MMR/MEASLES SHOTS? 

(RECALL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MCV_ANY_SC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

MMR/MEASLES SHOTS? 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

165

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MCV_DAGE1

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING SHOT #1

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_DAGE2

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING SHOT #2

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_DAGE3

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING SHOT #3

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_DAGE4

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING SHOT #4

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_DAGE5

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING SHOT #5

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_DAGE6

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING SHOT #6

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_DAGE7

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING SHOT #7

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_DAGE8

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING SHOT #8

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_DAGE9

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING SHOT #9

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

166

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MCV_MAGE1

AGE IN MONTHS OF 

PROV-REPORTED 

MEASLES-CONTAINING 

SHOT #1

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_MAGE2

AGE IN MONTHS OF 

PROV-REPORTED 

MEASLES-CONTAINING 

SHOT #2

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_MAGE3

AGE IN MONTHS OF 

PROV-REPORTED 

MEASLES-CONTAINING 

SHOT #3

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_MAGE4

AGE IN MONTHS OF 

PROV-REPORTED 

MEASLES-CONTAINING 

SHOT #4

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_MAGE5

AGE IN MONTHS OF 

PROV-REPORTED 

MEASLES-CONTAINING 

SHOT #5

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_MAGE6

AGE IN MONTHS OF 

PROV-REPORTED 

MEASLES-CONTAINING 

SHOT #6

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_MAGE7

AGE IN MONTHS OF 

PROV-REPORTED 

MEASLES-CONTAINING 

SHOT #7

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_MAGE8

AGE IN MONTHS OF 

PROV-REPORTED 

MEASLES-CONTAINING 

SHOT #8

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

MCV_MAGE9

AGE IN MONTHS OF 

PROV-REPORTED 

MEASLES-CONTAINING 

SHOT #9

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

167

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MCV_NUM_REC

NUMBER OF HHREPORTED 

MMR/MEASLES SHOTS 

RECEIVED (RECALL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MCV_NUM_SC

NUMBER OF HHREPORTED 

MMR/MEASLES SHOTS 

RECEIVED (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MCV_NUM_TOT

NUMBER OF HHREPORTED 

MMR/MEASLES SHOTS 

RECEIVED (TOTAL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MEN_AGE_SC1

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MENINGOCOCCAL SHOT 

#1 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MEN_AGE_SC2

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MENINGOCOCCAL SHOT 

#2 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MEN_AGE_SC3

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MENINGOCOCCAL SHOT 

#3 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MEN_AGE_SC4

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MENINGOCOCCAL SHOT 

#4 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MEN_AGE_SC5

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MENINGOCOCCAL SHOT 

#5 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MEN_AGE_SC6

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MENINGOCOCCAL SHOT 

#6 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MEN_AGE_SC7

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MENINGOCOCCAL SHOT 

#7 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MEN_AGE_SC8

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

MENINGOCOCCAL SHOT 

#8 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

168

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MEN_AGE1

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #1

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_AGE2

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #2

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_AGE3

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #3

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_AGE4

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #4

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_AGE5

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #5

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_AGE6

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #6

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_AGE7

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #7

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_AGE8

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #8

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_AGE9

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #9

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

169

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MEN_ANY

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

MENINGITIS SHOTS?

- - - - - - - Y Y Y Y Y Y Y Y Replaced MEN_ANY_REC in 2015.

MEN_ANY_REC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

MENINGITIS SHOTS? 

(RECALL)

Y Y Y Y Y Y Y - - - - - - - - Replaced by MEN_ANY in 2015.

MEN_ANY_SC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

MENINGITIS SHOTS? 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MEN_DAGE1

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #1

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_DAGE2

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #2

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_DAGE3

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #3

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_DAGE4

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #4

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_DAGE5

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #5

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_DAGE6

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #6

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

170

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MEN_DAGE7

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #7

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_DAGE8

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #8

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_DAGE9

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #9

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_MAGE1

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #1

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_MAGE2

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #2

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_MAGE3

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #3

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_MAGE4

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #4

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_MAGE5

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #5

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_MAGE6

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #6

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

171

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MEN_MAGE7

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #7

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_MAGE8

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #8

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_MAGE9

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT #9

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

MEN_NUM_REC

NUMBER OF HHREPORTED MENINGITIS 

SHOTS RECEIVED 

(RECALL)

Y Y Y Y Y Y Y - - - - - - - - Replaced with MEN_NUM_TOT in 

2015. 

MEN_NUM_SC

NUMBER OF HHREPORTED MENINGITIS 

SHOTS RECEIVED 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MEN_NUM_TOT

NUMBER OF HHREPORTED MENINGITIS 

SHOTS RECEIVED 

(TOTAL)

Y Y Y Y Y Y - Y Y Y Y Y Y Y Y Dropped in 2014 due to shortened 

questionnaire; added back in 2015.

MEN_REAS_1

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: NOT 

RECOMMENDED

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

MEN_REAS_10

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

COSTS

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_11

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

SAFETY CONCERN/SIDE 

EFFECTS

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_12

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

EFFECTIVENESS 

CONCERN

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

172

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MEN_REAS_13

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

TEEN FEARFUL

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_14

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

TEEN SHOULD MAKE 

DECISION

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_15

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

COLLEGE SHOT

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_16

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

DON'T BELIEVE IN 

VACCINATIONS

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_17

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

FAMILY/PARENTAL 

DECISION

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_18

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

HANDICAPPED/SPECIAL 

NEEDS/ILLNESS

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_19

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

RELIGION/ORTHODOX

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_2

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

LACK OF KNOWLEDGE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_20

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

TIME

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_21

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

MORE INFO/NEW 

VACCINE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

173

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MEN_REAS_22

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

ALREADY UP-TO-DATE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_23

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: NO 

DOCTOR OR DOCTOR'S 

VISIT NOT SCHEDULED

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

MEN_REAS_24 MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

INTEND TO COMPLETE 

BUT HAVE NOT 

YET/ALREADY PLANNED

- - - - - - - - Y Y Y Y Y Y Y Additional reason flag added in 2016.

MEN_REAS_25 MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

DIFFICULTY MAKING OR 

GETTING TO 

APPOINTMENT/TRANSPO

RTATION PROBLEMS

- - - - - - - - Y Y Y Y Y Y Y Additional reason flag added in 2016.

MEN_REAS_26

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

COVID-19 PANDEMIC

Y Y Y Additional reason flag added in 2020.

MEN_REAS_3

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: NOT 

NEEDED OR NOT 

NECESSARY

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_4

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: NOT 

SCHOOL REQUIREMENT

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_5

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: NOT 

AVAILABLE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_REAS_6

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: NOT 

APPROPRIATE AGE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

174

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MEN_REAS_7

MAIN REASON TEEN DID 

NOT RECEIVE 

MENINGITIS SHOTS: 

OTHER REASON

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

MEN_RECOM

HAD OR HAS DOCTOR OR 

OTHER HEALTH CARE 

PROFESSIONAL EVER 

RECOMMENDED THAT 

TEEN RECEIVE 

MENINGITIS SHOTS?

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MENB_AGE1

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #1

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_AGE2

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #2

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_AGE3

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #3

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_AGE4

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #4

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_AGE5

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #5

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_AGE6

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #6

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_AGE7

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #7

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_AGE8

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #8

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

175

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MENB_AGE9

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #9

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_DAGE1

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #1

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_DAGE2

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #2

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_DAGE3

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #3

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_DAGE4

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #4

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_DAGE5

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #5

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_DAGE6

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #6

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_DAGE7

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #7

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_DAGE8

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #8

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_DAGE9

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #9

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_MAGE1

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #1

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

176

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MENB_MAGE2

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #2

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_MAGE3

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #3

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_MAGE4

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #4

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_MAGE5

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #5

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_MAGE6

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #6

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_MAGE7

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #7

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_MAGE8

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #8

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENB_MAGE9

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCAL 

SEROGROUP B SHOT #9

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016. 

MENU_AGE1

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #1

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_AGE2

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #2

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

177

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MENU_AGE3

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #3

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_AGE4

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #4

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_AGE5

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #5

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_AGE6

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #6

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_AGE7

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #7

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_AGE8

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #8

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_AGE9

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #9

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_DAGE1

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #1

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_DAGE2

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #2

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

178

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MENU_DAGE3

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #3

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_DAGE4

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #4

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_DAGE5

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #5

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_DAGE6

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #6

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_DAGE7

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #7

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_DAGE8

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #8

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_DAGE9

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #9

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_MAGE1

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #1

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_MAGE2

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #2

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

179

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

MENU_MAGE3

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #3

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_MAGE4

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #4

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_MAGE5

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #5

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_MAGE6

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #6

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_MAGE7

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #7

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_MAGE8

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #8

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MENU_MAGE9

AGE IN MONTHS OF 

PROV-REPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #9

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

MOBIL_I

GEOGRAPHIC MOBILITY 

STATUS: STATE OF 

RESIDENCE AT BIRTH 

VERSUS CURRENT 

STATE: IMPUTED

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

N_PRVR

NUMBER OF IHQS WITH 

VACCINATION 

INFORMATION FOR THE 

TEEN (RECODE)

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

180

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

NOSCHOOLR

DURING PAST 12 

MONTHS, ABOUT HOW 

MANY DAYS DID TEEN 

MISS SCHOOL BECAUSE 

OF ILLNESS OR INJURY? 

(RECODE)

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

NUM_CELLS_HH

NUMBER OF WORKING 

CELL PHONES 

HOUSEHOLD MEMBERS 

HAVE AVAILABLE FOR 

PERSONAL USE

- Y Y Y Y Y Y Y Y Y Y Y Y Y Y Question added to household 

questionnaire in 2009.

NUM_CELLS_PARE

NTS

NUMBER OF WORKING 

CELL PHONES USUALLY 

USED BY PARENTS OR 

GUARDIANS

- Y Y Y Y Y Y Y Y Y Y Y Y Y Y Question added to household 

questionnaire in 2009.

NUM_PHONE

NUMBER OF 

RESIDENTIAL LANDLINE 

TELEPHONE NUMBERS 

IN HOUSEHOLD

- Y Y Y Y Y Y Y Y Y Y Y Y Y Y Question added to household 

questionnaire in 2009.

NUM_PROVR

NUMBER OF VALID, 

UNIQUE PROVIDERS 

IDENTIFIED BY 

RESPONDENT (FOR 

TEENS WITH CONSENT) 

(RECODE)

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

P_N13FLU

NUMBER OF SEASONAL 

INFLUENZA 

VACCINATIONS IN THE 

PAST THREE YEARS BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

181

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_N13FLU_FL

NUMBER OF SEASONAL 

INFLUENZA 

VACCINATIONS OF 

UNKNOWN TYPE IN PAST 

THREE YEARS BY AGE 13 

YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13FLU_FM

NUMBER OF SEASONAL 

FLUMIST VACCINATIONS 

IN PAST THREE YEARS 

BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13FLU_FN

NUMBER OF INJECTED 

SEASONAL INFLUENZA 

SHOTS OF 

OTHER/UNKNOWN TYPE 

IN PAST THREE YEARS 

BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13FLU_FV

NUMBER OF SEASONAL 

FLUVIRIN SHOTS IN 

PAST THREE YEARS BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

182

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_N13FLU_FZ

NUMBER OF SEASONAL 

FLUZONE SHOTS IN PAST 

THREE YEARS BY AGE 13 

YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13H1N

NUMBER OF 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATIONS BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE AND 

EXCLUDING 

VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

P_N13H1N_1L

NUMBER OF 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATIONS OF 

UNKNOWN TYPE BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE AND 

EXCLUDING 

VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

183

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_N13H1N_1M

NUMBER OF INHALED 

NASAL MONOVALENT 

2009 H1N1 INFLUENZA 

SPRAY VACCINATIONS 

BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE AND 

EXCLUDING 

VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

P_N13H1N_1N

NUMBER OF INJECTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATIONS BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE AND 

EXCLUDING 

VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

P_N13HEPA

NUMBER OF HEPATITIS 

A-CONTAINING SHOTS 

BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13HEPA_HA

NUMBER OF HEPATITIS 

A-CONTAINING SHOTS 

OF UNKNOWN TYPE BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

184

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_N13HEPA_HO

NUMBER OF HEPATITIS 

A-ONLY SHOTS BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13HEPB

NUMBER OF HEPATITIS 

B-CONTAINING SHOTS 

BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13HEPB_43

NUMBER OF HEPB/HIB 

COMBO SHOTS BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13HEPB_61

NUMBER OF HEPATITIS B 

0.5 ML RECOMBIVAX 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13HEPB_62

NUMBER OF HEPATITIS B 

1.0 ML RECOMBIVAX 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

185

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_N13HEPB_63

NUMBER OF HEPATITIS B 

ENGERIX SHOTS BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13HEPB_64

NUMBER OF HEPATITIS 

B-ONLY SHOTS OF 

UNKNOWN TYPE BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13HEPB_HB

NUMBER OF HEPATITIS 

B-CONTAINING SHOTS 

OF UNKNOWN TYPE BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13HPV

NUMBER OF HUMAN 

PAPILLOMAVIRUS 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

P_N13HPV_4V

NUMBER OF HPVGARDASIL (4vHPV) 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - Y Y Y Y Y Y Y Y Renamed from P_N13HPV_ GD in 

2015.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

186

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_N13HPV_9V

NUMBER OF HPVGARDASIL 9 (9vHPV) 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - Y Y Y Y Y Y Y Y HPV Gardasil 9-valent shot type 

added to the IHQ shotgrid in 2015.

P_N13HPV_CV

NUMBER OF HPVCERVARIX SHOTS BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - Y Y Y Y Y Y Y Y Y Y Y HPV shot type variables added to the 

PUF in 2012.

P_N13HPV_GD

NUMBER OF HPVGARDASIL SHOTS BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE.

- - - - Y Y Y - - - - - - - -

HPV shot type variables added to the 

PUF in 2012. Replaced with 

P_N13HPV_4V in 2015.

P_N13HPV_HP

NUMBER OF HPV SHOTS 

OF UNKNOWN TYPE BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - Y Y Y Y Y Y Y Y Y Y Y HPV shot type variables added to the 

PUF in 2012.

P_N13HPV_UV

NUMBER OF HPVGARDASIL, UNKNOWN 

VALENCY SHOTS BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - Y Y Y Y Y Y Y Y 

Added in 2015 to account for 

reported HPV Gardasil shots with 

unknown valence.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

187

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_N13MCV

NUMBER OF MEASLESCONTAINING SHOTS BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13MCV_30

NUMBER OF MMR-ONLY 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13MCV_31

NUMBER OF MEASLESONLY SHOTS BY AGE 13 

YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13MCV_32

NUMBER OF MEASLESMUMPS SHOTS BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13MCV_33

NUMBER OF MEASLESRUBELLA SHOTS BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

188

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_N13MCV_MM

NUMBER OF MEASLESCONTAINING SHOTS OF 

UNKNOWN TYPE BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13MCV_VM

NUMBER OF 

MMR/VARICELLA SHOTS 

BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13MEN

NUMBER OF 

MENINGOCOCCAL 

SEROGROUP ACWYCONTAINING SHOTS BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_N13MEN_80

NUMBER OF 

MENINGOCOCCAL MCV4 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_N13MEN_81

NUMBER OF 

MENINGOCOCCAL 

MPSV4 SHOTS BY AGE 13 

YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

189

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_N13MEN_82

NUMBER OF 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOTS OF UNKNOWN 

TYPE BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_N13MENB NUMBER OF 

MENINGOCOCCAL 

SEROGROUP B SHOTS BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

P_N13MENB_BB NUMBER OF 

MENINGOCOCCAL 

MENB-4C SHOTS BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

P_N13MENB_BT NUMBER OF 

MENINGOCOCCAL 

MENB-FHPB SHOTS BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

190

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_N13MENB_BU NUMBER OF 

MENINGOCOCCAL 

SEROGROUP B SHOTS OF 

UNKNOWN TYPE BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

P_N13MENU NUMBER OF 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

P_N13MMR

NUMBER OF MMRCONTAINING SHOTS BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13PPS

NUMBER OF 

PNEUMOCOCCAL 

POLYSACCHARIDE 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y

Dropped in 2018 due to a provider 

reporting issue. Added back in 2019. 

Dropped in 2020 due to shot category 

being removed from the NIS-Teen 

IHQ.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

191

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_N13TDAP_POST10

NUMBER OF TDAP 

SHOTS SINCE AGE 10 

YEARS AND BY AGE 13 

YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

P_N13TDAP_POST7

NUMBER OF TDAP 

SHOTS SINCE AGE 7 

YEARS AND BY AGE 13 

YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - Y Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2010.

P_N13TDP

NUMBER OF TD/TDAPCONTAINING SHOTS BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_N13TDP_11

NUMBER OF TD-ONLY 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_N13TDP_14

NUMBER OF TDAP-ONLY 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

192

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_N13TDP_15

NUMBER OF TD/TDAPCONTAINING SHOTS OF 

UNKNOWN TYPE BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_N13TDP_POST10

NUMBER OF TD/TDAPCONTAINING SHOTS 

SINCE AGE 10 YEARS 

AND BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_N13VRC

NUMBER OF VARICELLACONTAINING SHOTS BY 

AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13VRC_POST1

NUMBER OF VARICELLACONTAINING SHOTS AT 

12+ MONTHS OF AGE 

AND BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13VRC_VA

NUMBER OF VARICELLACONTAINING SHOTS OF 

UNKNOWN TYPE BY AGE 

13 YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

193

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_N13VRC_VM

NUMBER OF 

MMR/VARICELLA SHOTS 

BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_N13VRC_VO

NUMBER OF VARICELLAONLY SHOTS BY AGE 13 

YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMFLU

NUMBER OF SEASONAL 

INFLUENZA 

VACCINATIONS IN THE 

PAST THREE YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMFLU_FL

NUMBER OF SEASONAL 

INFLUENZA 

VACCINATIONS OF 

UNKNOWN TYPE IN PAST 

THREE YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMFLU_FM

NUMBER OF SEASONAL 

FLUMIST VACCINATIONS 

IN PAST THREE YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

194

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_NUMFLU_FN

NUMBER OF INJECTED 

SEASONAL INFLUENZA 

SHOTS OF 

OTHER/UNKNOWN TYPE 

IN PAST THREE YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMFLU_FV

NUMBER OF SEASONAL 

FLUVIRIN SHOTS IN 

PAST THREE YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMFLU_FZ

NUMBER OF SEASONAL 

FLUZONE SHOTS IN PAST 

THREE YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMH1N

NUMBER OF 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATIONS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE AND 

EXCLUDING 

VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

195

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_NUMH1N_1L

NUMBER OF 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATIONS OF 

UNKNOWN TYPE 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE AND 

EXCLUDING 

VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

P_NUMH1N_1M

NUMBER OF INHALED 

NASAL MONOVALENT 

2009 H1N1 INFLUENZA 

SPRAY VACCINATIONS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE AND 

EXCLUDING 

VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

P_NUMH1N_1N

NUMBER OF INJECTED 

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATIONS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE AND 

EXCLUDING 

VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

196

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_NUMHEPA

NUMBER OF HEPATITIS 

A-CONTAINING SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMHEPA_HA

NUMBER OF HEPATITIS 

A-CONTAINING SHOTS 

OF UNKNOWN TYPE 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMHEPA_HO

NUMBER OF HEPATITIS 

A-ONLY SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMHEPB

NUMBER OF HEPATITIS 

B-CONTAINING SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMHEPB_43

NUMBER OF HEPB/HIB 

COMBO SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

197

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_NUMHEPB_61

NUMBER OF HEPATITIS B 

0.5 ML RECOMBIVAX 

SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMHEPB_62

NUMBER OF HEPATITIS B 

1.0 ML RECOMBIVAX 

SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMHEPB_63

NUMBER OF HEPATITIS B 

ENGERIX SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMHEPB_64

NUMBER OF HEPATITIS 

B-ONLY SHOTS OF 

UNKNOWN TYPE 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMHEPB_HB

NUMBER OF HEPATITIS 

B-CONTAINING SHOTS 

OF UNKNOWN TYPE 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

198

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_NUMHPV

NUMBER OF HUMAN 

PAPILLOMAVIRUS 

SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

P_NUMHPV_4V

NUMBER OF HPVGARDASIL (4vHPV) 

SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - Y Y Y Y Y Y Y Y Renamed from P_NUMHPV_GD in 

2015.

P_NUMHPV_9V

NUMBER OF HPVGARDASIL 9 (9vHPV) 

SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - Y Y Y Y Y Y Y Y HPV Gardasil 9-valent shot type 

added to the IHQ shotgrid in 2015.

P_NUMHPV_CV

NUMBER OF HPVCERVARIX SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - Y Y Y Y Y Y Y Y Y Y Y HPV shot type variables added to the 

PUF in 2012.

P_NUMHPV_GD

NUMBER OF HPVGARDASIL SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE.

- - - - Y Y Y - - - - - - - -

HPV shot type variables added to the 

PUF in 2012. Replaced with 

P_N13HPV_4V in 2015.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

199

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_NUMHPV_HP

NUMBER OF HPV SHOTS 

OF UNKNOWN TYPE 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - Y Y Y Y Y Y Y Y Y Y Y HPV shot type variables added to the 

PUF in 2012.

P_NUMHPV_UV

NUMBER OF HPVGARDASIL, UNKNOWN 

VALENCY SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - Y Y Y Y Y Y Y Y 

Added in 2015 to account for 

reported HPV Gardasil shots with 

unknown valence.

P_NUMMCV

NUMBER OF MEASLESCONTAINING SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMMCV_30

NUMBER OF MMR-ONLY 

SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMMCV_31

NUMBER OF MEASLESONLY SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

200

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_NUMMCV_32

NUMBER OF MEASLESMUMPS SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMMCV_33

NUMBER OF MEASLESRUBELLA SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMMCV_MM

NUMBER OF MEASLESCONTAINING SHOTS OF 

UNKNOWN TYPE 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMMCV_VM

NUMBER OF 

MMR/VARICELLA SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMMEN

NUMBER OF 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

201

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_NUMMEN_80

NUMBER OF 

MENINGOCOCCAL MCV4 

SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_NUMMEN_81

NUMBER OF 

MENINGOCOCCAL 

MPSV4 SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_NUMMEN_82

NUMBER OF 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOTS OF UNKNOWN 

TYPE DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_NUMMENB NUMBER OF 

MENINGOCOCCAL 

SEROGROUP B SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

P_NUMMENB_BB NUMBER OF 

MENINGOCOCCAL 

MENB-4C SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

202

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_NUMMENB_BT NUMBER OF 

MENINGOCOCCAL 

MENB-FHPB SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

P_NUMMENB_BU NUMBER OF 

MENINGOCOCCAL 

SEROGROUP B SHOTS OF 

UNKNOWN TYPE 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

P_NUMMENU NUMBER OF 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y Y Y Y Y Y 

Meningococcal - unknown serogroup 

added to the IHQ shotgrid starting in 

2016.

P_NUMMMR

NUMBER OF MMRCONTAINING SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMPPS

NUMBER OF 

PNEUMOCOCCAL 

POLYSACCHARIDE 

SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y

Dropped in 2018 due to a provider 

reporting issue. Added back in 2019. 

Dropped in 2020 due to shot category 

being removed from the NIS-Teen 

IHQ.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

203

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_NUMTDAP_POST

10

NUMBER OF TDAP 

SHOTS SINCE AGE 10 

YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

P_NUMTDAP_POST

7 

NUMBER OF TDAP 

SHOTS SINCE AGE 7 

YEARS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - Y Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2010.

P_NUMTDP

NUMBER OF TD/TDAPCONTAINING SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_NUMTDP_11

NUMBER OF TD-ONLY 

SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_NUMTDP_14

NUMBER OF TDAP-ONLY 

SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

204

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_NUMTDP_15

NUMBER OF TD/TDAPCONTAINING SHOTS OF 

UNKNOWN TYPE 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_NUMTDP_POST10

NUMBER OF TD/TDAPCONTAINING SHOTS 

SINCE AGE 10 YEARS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

P_NUMVRC

NUMBER OF VARICELLACONTAINING SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMVRC_POST1

NUMBER OF VARICELLACONTAINING SHOTS AT 

12+ MONTHS OF AGE 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMVRC_VA

NUMBER OF VARICELLACONTAINING SHOTS OF 

UNKNOWN TYPE 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

205

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_NUMVRC_VM

NUMBER OF 

MMR/VARICELLA SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_NUMVRC_VO

NUMBER OF VARICELLAONLY SHOTS 

DETERMINED FROM 

PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_U13113

UP-TO-DATE FLAG (PROV 

INFO): 1:1:3 SERIES 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2015. 

P_U131132

UP-TO-DATE FLAG 

(PROV INFO): 1+ TDAP 

SINCE AGE 10, 1+ 

MENACWY, AND UTD 

FOR HPV, ALL BEFORE 

AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Up-to-date variable added to the 

PUF in 2022. 

P_U131321

UP-TO-DATE FLAG (PROV 

INFO): 1:3:2:1 SERIES 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

206

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_U1313212

UP-TO-DATE FLAG (PROV 

INFO): 1:3:2:1:2 SERIES 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_U13FLU0607

UP-TO-DATE FLAG (PROV 

INFO): 1+ INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2006 AND JAN 31, 

2007, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y - - - - - - - - - - - - - -

Dropped in 2009 to reflect providerreported flu vaccinations from 

previous 3 flu seasons.

P_U13FLU0708

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2007 AND JAN 31, 

2008, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y - - - - - - - - - - - - -

Dropped in 2010 to reflect providerreported flu vaccinations from 

previous 3 flu seasons.

P_U13FLU0809

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2008 AND JAN 31, 

2009, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y - - - - - - - - - - - -

Dropped in 2011 to reflect providerreported flu vaccinations from 

previous 3 flu seasons.

P_U13FLU0910

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2009 AND JAN 31, 

2010, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- Y Y Y - - - - - - - - - - -

Added in 2009 and dropped in 2012 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

207

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_U13FLU1011

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2010 AND JAN 31, 

2011, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - Y Y Y - - - - - - - - - -

Added in 2010 and dropped in 2013 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.

P_U13FLU1112

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2011 AND JAN 31, 

2012, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - Y Y Y - - - - - - - - -

Added in 2011 and dropped in 2014 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.

P_U13FLU1213

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2012 AND JAN 31, 

2013, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - Y Y Y - - - - - - - -

Added in 2012 and dropped in 2015 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.

P_U13FLU1314

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2013 AND JAN 31, 

2014, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - Y Y Y - - - - - - -

Added in 2013 and dropped in 2016 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

208

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_U13FLU1415

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2014 AND JAN 31, 

2015, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - Y Y Y - - - - - -

Added in 2014 and dropped in 2017 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.

P_U13FLU1516

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2015 AND JAN 31, 

2016, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - Y Y Y - - - - -

Added in 2015 and dropped in 2018 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.

P_U13FLU1617

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2016 AND JAN 31, 

2017, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y - - - - -

Added in 2016 to reflect providerreported flu vaccinations from 

previous 3 flu seasons. Dropped in 

2018 due to a provider reporting 

issue. 

P_U13FLU1718

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2017 AND JAN 31, 

2018, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - - Y - Y 

Added in 2017 and dropped in 2020 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons. Not available in 2018 due to 

a provider reporting issue.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

209

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_U13FLU1819

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2018 AND JAN 31, 

2019, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - - - - Y Y 

Added in 2019 and dropped in 2021 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons. 

P_U13FLU1920

UP-TO-DATE FLAG 

(PROV INFO): 1+ 

SEASONAL INFLUENZA 

VACCINATION 

BETWEEN SEPT 1, 2019 

AND JAN 31, 2020, 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - - - - Y Y Y 

Added in 2019 and dropped in 2022 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons. 

P_U13FLU2021

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2020 AND JAN 31, 

2021, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - - - - Y Y Y 

Added in 2020 to reflect providerreported flu vaccinations from 

previous 3 flu seasons. 

P_U13FLU2122

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2021 AND JAN 31, 

2022, BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - - - - Y Y 

Added in 2021 to reflect providerreported flu vaccinations from 

previous 3 flu seasons. 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

210

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_U13FLU2223

UP-TO-DATE FLAG 

(PROV INFO): 1+ 

SEASONAL INFLUENZA 

VACCINATION 

BETWEEN SEPT 1, 2022 

AND JAN 31, 2023, 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - - - - Y 

Added in 2022 to reflect providerreported flu vaccinations from 

previous 3 flu seasons. 

P_U13H1N_1

UP-TO-DATE FLAG (PROV 

INFO): 1+ MONOVALENT 

2009 H1N1 FLU 

VACCINATION BEFORE 

AGE 13 YEARS, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE AND 

EXCLUDING 

VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

P_U13H1N_2

UP-TO-DATE FLAG (PROV 

INFO): 2+ MONOVALENT 

2009 H1N1 FLU 

VACCINATIONS BEFORE 

AGE 13 YEARS, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE AND 

EXCLUDING 

VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

P_U13HEPA

UP-TO-DATE FLAG (PROV 

INFO): 2+ HEPATITIS ACONTAINING SHOTS 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

211

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_U13HEPB

UP-TO-DATE FLAG (PROV 

INFO): 2+ HEPB 1.0 ML 

RECOMBIVAX SHOTS 

BEFORE AGE 13 YEARS, 

OR 3+ ANY 

COMBINATION OF 

HEPATITIS BCONTAINING SHOTS 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_U13HPV

UP-TO-DATE FLAG (PROV 

INFO): 1+ HUMAN 

PAPILLOMAVIRUS SHOT 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

P_U13HPV3

UP-TO-DATE FLAG (PROV 

INFO): 3+ HUMAN 

PAPILLOMAVIRUS 

SHOTS BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - Y Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to PUF in 

2010.

P_U13MCV

UP-TO-DATE FLAG (PROV 

INFO): 2+ MEASLESCONTAINING SHOTS 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_U13MEN

UP-TO-DATE FLAG (PROV 

INFO): 1+ 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

212

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_U13MMR

UP-TO-DATE FLAG (PROV 

INFO): 2+ MMRCONTAINING SHOTS 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_U13PPS

UP-TO-DATE FLAG (PROV 

INFO): 1+ 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y

Dropped in 2018 due to a provider 

reporting issue. Added back in 2019. 

Dropped in 2020 due to shot category 

being removed from the NIS-Teen 

IHQ.

P_U13TD

UP-TO-DATE FLAG (PROV 

INFO): 1+ TD/TDAPCONTAINING SHOT 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y - 

P_U13TDAP

UP-TO-DATE FLAG (PROV 

INFO): 1+ TDAP-ONLY 

SHOT SINCE AGE 10 

YEARS AND BEFORE 

AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y - 

P_U13TDAP7

UP-TO-DATE FLAG (PROV 

INFO): 1+ TDAP-ONLY 

SHOT SINCE AGE 7 

YEARS AND BEFORE 

AGE 13 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - Y Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to PUF in 

2010.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

213

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_U13VRC

UP-TO-DATE FLAG (PROV 

INFO): 1+ VARICELLACONTAINING SHOT AT 

12+ MONTHS OF AGE 

AND BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_U13VRC2

UP-TO-DATE FLAG (PROV 

INFO): 2+ VARICELLACONTAINING SHOTS AT 

12+ MONTHS OF AGE 

AND BEFORE AGE 13 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_UTD1321

UP-TO-DATE FLAG (PROV 

INFO): 1:3:2:1 SERIES, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_UTD13212

UP-TO-DATE FLAG (PROV 

INFO): 1:3:2:1:2 SERIES, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_UTDCOV_BOOST

UP-TO-DATE FLAG 

(PROV INFO): FULLY 

VACCINATED AND 

BOOSTED WITH 2+ 

COVID-19 SHOTS, OR 1+ 

J&J/JANSSEN SHOT, 

PLUS 1+ ADDITIONAL 

COVID-19 SHOT OF ANY 

TYPE, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Up-to-date variable added to PUF 

in 2022.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

214

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_UTDCOV_FULL

UP-TO-DATE FLAG 

(PROV INFO): FULLY 

VACCINATED WITH 2+ 

COVID-19 SHOTS, OR 1+ 

J&J/JANSSEN SHOT, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y

Up-to-date variable added to PUF 

in 2022.

P_UTDCOV1

UP-TO-DATE FLAG 

(PROV INFO): 1+ COVID19 VACCINATION, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y

Up-to-date variable added to PUF 

in 2022.

P_UTDFLU0607

UP-TO-DATE FLAG (PROV 

INFO): 1+ INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2006 AND JAN 31, 

2007, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y - - - - - - - - - - - - - -

Dropped in 2009 to reflect providerreported flu vaccinations from 

previous 3 flu seasons.

P_UTDFLU0708

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2007 AND JAN 31, 

2008, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y - - - - - - - - - - - - -

Dropped in 2010 to reflect providerreported flu vaccinations from 

previous 3 flu seasons.

P_UTDFLU0809

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2008 AND JAN 31, 

2009, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y - - - - - - - - - - - -

Dropped in 2011 to reflect providerreported flu vaccinations from 

previous 3 flu seasons.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

215

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_UTDFLU0910

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2009 AND JAN 31, 

2010, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- Y Y Y - - - - - - - - - - -

Added in 2009 and dropped in 2012 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.

P_UTDFLU1011

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2010 AND JAN 31, 

2011, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - Y Y Y - - - - - - - - - -

Added in 2010 and dropped in 2013 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.

P_UTDFLU1112

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2011 AND JAN 31, 

2012, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - Y Y Y - - - - - - - - -

Added in 2011 and dropped in 2014 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.

P_UTDFLU1213

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2012 AND JAN 31, 

2013, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - Y Y Y - - - - - - - -

Added in 2012 and dropped in 2015 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.

P_UTDFLU1314

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2013 AND JAN 31, 

2014, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - Y Y Y - - - - - - -

Added in 2013 and dropped in 2016 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

216

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_UTDFLU1415

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2014 AND JAN 31, 

2015, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - Y Y Y - - - - - -

Added in 2014 and dropped in 2017 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.

P_UTDFLU1516

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2015 AND JAN 31, 

2016, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - Y Y Y - - - - -

Added in 2015 and dropped in 2018 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.

P_UTDFLU1617

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2016 AND JAN 31, 

2017, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y - - - - -

Added in 2016 to reflect providerreported flu vaccinations from 

previous 3 flu seasons. Dropped in 

2018 due to a provider reporting 

issue.

P_UTDFLU1718

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2017 AND JAN 31, 

2018, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - - Y - Y 

Added in 2017 and dropped in 2020 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons. Not available in 2018 due to 

a provider reporting issue.

P_UTDFLU1819

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2018 AND JAN 31, 

2019, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - - - - Y Y 

Added in 2019 and dropped in 2021 

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons. 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

217

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_UTDFLU1920

UP-TO-DATE FLAG 

(PROV INFO): 1+ 

SEASONAL INFLUENZA 

VACCINATION 

BETWEEN SEPT 1, 2019 

AND JAN 31, 2020, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - - - - Y Y Y 

Added in 2019 and dropped in 2022

to reflect provider-reported flu 

vaccinations from previous 3 flu 

seasons.

P_UTDFLU2021

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2020 AND JAN 31, 

2021, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - - - - - Y Y Y 

Added in 2020 to reflect providerreported flu vaccinations from the 

previous 3 flu seasons.

P_UTDFLU2122

UP-TO-DATE FLAG (PROV 

INFO): 1+ SEASONAL 

INFLUENZA 

VACCINATION BETWEEN 

SEPT 1, 2021 AND JAN 31, 

2022, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - - - - - Y Y 

Added in 2021 to reflect providerreported flu vaccinations from the 

previous 3 flu seasons.

P_UTDFLU2223

UP-TO-DATE FLAG 

(PROV INFO): 1+ 

SEASONAL INFLUENZA 

VACCINATION 

BETWEEN SEPT 1, 2022

AND JAN 31, 2023, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - - - - - Y

Added in 2022 to reflect providerreported flu vaccinations from the 

previous 3 flu seasons.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

218

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_UTDH1N_1

UP-TO-DATE FLAG (PROV 

INFO): 1+ MONOVALENT 

2009 H1N1 FLU 

VACCINATION, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE AND 

EXCLUDING 

VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

P_UTDH1N_2

UP-TO-DATE FLAG (PROV 

INFO): 2+ MONOVALENT 

2009 H1N1 FLU 

VACCINATIONS, 

EXCLUDING 

VACCINATIONS AFTER 

THE HOUSEHOLD 

INTERVIEW DATE AND 

EXCLUDING 

VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

P_UTDHEPA

UP-TO-DATE FLAG (PROV 

INFO): 2+ HEPATITIS ACONTAINING SHOTS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_UTDHEPA1

UP-TO-DATE FLAG (PROV 

INFO): 1+ HEPATITIS ACONTAINING SHOT, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Up-to-date variable added to the PUF 

in 2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

P_UTDHEPB

UP-TO-DATE FLAG (PROV 

INFO): 2+ HEPB 1.0 ML 

RECOMBIVAX SHOTS, OR 

3+ ANY COMBINATION 

OF HEPATITIS BCONTAINING SHOTS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

219

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_UTDHPV

UP-TO-DATE FLAG (PROV 

INFO): 1+ HUMAN 

PAPILLOMAVIRUS SHOT, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

P_UTDHPV_15

UP-TO-DATE FLAG (PROV 

INFO): 3+ HUMAN 

PAPILLOMAVIRUS 

SHOTS, OR 2+ HUMAN 

PAPILLOMAVIRUS 

SHOTS WITH FIRST SHOT 

RECEIVED BEFORE AGE 

15, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2016.

P_UTDHPV_15INT

UP-TO-DATE FLAG (PROV 

INFO): 3+ HUMAN 

PAPILLOMAVIRUS 

SHOTS, OR 2+ HUMAN 

PAPILLOMAVIRUS 

SHOTS WITH FIRST SHOT 

RECEIVED BEFORE AGE 

15 AND INTERVAL 

BETWEEN 1ST AND 2ND 

SHOTS AT LEAST 5 

MONTHS-4 DAYS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2016.

P_UTDHPV_9V

UP-TO-DATE FLAG (PROV 

INFO): 1+ HUMAN 

PAPILLOMAVIRUS SHOT 

OF TYPE GARDASIL 9 

(9vHPV), EXCLUDING 

ANY VACCINATIONS 

AFTER THE RDD 

INTERVIEW DATE.

- - - - - - - Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2015.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

220

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_UTDHPV11

UP-TO-DATE FLAG (PROV 

INFO): 1 HUMAN 

PAPILLOMAVIRUS SHOT 

GIVEN 1+ SHOT, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2011.

P_UTDHPV12

UP-TO-DATE FLAG (PROV 

INFO): 2 HUMAN 

PAPILLOMAVIRUS 

SHOTS GIVEN 1+ SHOT, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2011.

P_UTDHPV13

UP-TO-DATE FLAG (PROV 

INFO): 3+ HUMAN 

PAPILLOMAVIRUS 

SHOTS GIVEN 1+ SHOT, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2011.

P_UTDHPV2

UP-TO-DATE FLAG (PROV 

INFO): 2+ HUMAN 

PAPILLOMAVIRUS 

SHOTS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2011.

P_UTDHPV2_9V

UP-TO-DATE FLAG (PROV 

INFO): 2+ HUMAN 

PAPILLOMAVIRUS 

SHOTS OF TYPE 

GARDASIL 9 (9vHPV), 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2015.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

221

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_UTDHPV3

UP-TO-DATE FLAG (PROV 

INFO): 3+ HUMAN 

PAPILLOMAVIRUS 

SHOTS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - Y Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2010.

P_UTDHPV3_9V

UP-TO-DATE FLAG (PROV 

INFO): 3+ HUMAN 

PAPILLOMAVIRUS 

SHOTS OF TYPE 

GARDASIL 9 (9vHPV), 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2015.

P_UTDHPV3C

UP-TO-DATE FLAG (PROV 

INFO): HPV 

CONDITIONAL 

COMPLETION RATE, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2011.

P_UTDHPV3C_15IN

T 

UP-TO-DATE FLAG (PROV 

INFO): HPV 

CONDITIONAL 

COMPLETION RATE, 

INCLUDING 

COMPLETION VIA 3-

SHOT OR 2-SHOT SERIES, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - - - - - - Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2016.

P_UTDHPV3C_9V

UP-TO-DATE FLAG (PROV 

INFO): HPV 

CONDITIONAL 

COMPLETION RATE, 

COUNTING ONLY SHOTS 

OF TYPE GARDASIL 9 

(9vHPV), EXCLUDING 

ANY VACCINATIONS 

AFTER THE RDD 

INTERVIEW DATE.

- - - - - - - Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2015.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

222

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_UTDMCV

UP-TO-DATE FLAG (PROV 

INFO): 2+ MEASLESCONTAINING SHOTS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_UTDMEN

UP-TO-DATE FLAG (PROV 

INFO): 1+ 

MENINGOCOCCAL 

SEROGROUP ACWY 

SHOT, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

P_UTDMENACWY

UP-TO-DATE FLAG (PROV 

INFO): 1+ 

MENINGOCOCCAL 

SEROGROUP ACWYCONJUGATE SHOT OR 

MENINGOCOCCAL 

SEROGROUP ACWYUNKNOWN TYPE SHOT, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2011.

P_UTDMENB_L

UP-TO-DATE FLAG 

(PROV INFO): 2+ 

MENINGOCOCCAL 

SEROGROUP B SHOTS 

WITH AGE AND 

INTERVAL 

RESTRICTIONS, 

LENIENT TREATMENT 

OF MENINGOCOCCAL 

SHOTS OF UNKNOWN 

TYPE, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Up-to-date variable added to the 

PUF in 2022.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

223

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_UTDMENB_S

UP-TO-DATE FLAG 

(PROV INFO): 2+ 

MENINGOCOCCAL 

SEROGROUP B SHOTS 

WITH AGE AND 

INTERVAL 

RESTRICTIONS, STRICT 

TREATMENT OF 

MENINGOCOCCAL 

SHOTS OF UNKNOWN 

TYPE, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Up-to-date variable added to the 

PUF in 2022.

P_UTDMMR

UP-TO-DATE FLAG (PROV 

INFO): 2+ MMRCONTAINING SHOTS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_UTDPPS

UP-TO-DATE FLAG (PROV 

INFO): 1+ 

PNEUMOCOCCAL 

POLYSACCHARIDE 

SHOT, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y

Dropped in 2018 due to a provider 

reporting issue. Added back in 2019. 

Dropped in 2020 due to shot category 

being removed from the NIS-Teen 

IHQ.

P_UTDTD

UP-TO-DATE FLAG (PROV 

INFO): 1+ TD/TDAPCONTAINING SHOT, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

P_UTDTD_POST10

UP-TO-DATE FLAG (PROV 

INFO): 1+ TD-ONLY SHOT 

SINCE AGE 10 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2011.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

224

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_UTDTDAP

UP-TO-DATE FLAG (PROV 

INFO): 1+ TDAP-ONLY 

SHOT SINCE AGE 10 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

P_UTDTDAP7

UP-TO-DATE FLAG (PROV 

INFO): 1+ TDAP-ONLY 

SHOT SINCE AGE 7 

YEARS, EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - Y Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2010.

P_UTDTDP_POST10

UP-TO-DATE FLAG (PROV 

INFO): 1+ TD/TDAPCONTAINING SHOT 

SINCE AGE 10 YEARS, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - Y Y Y Y Y Y Y Y Y Y Y Y Up-to-date variable added to the PUF 

in 2011.

P_UTDVRC

UP-TO-DATE FLAG (PROV 

INFO): 1+ VARICELLACONTAINING SHOT AT 

12+ MONTHS OF AGE, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_UTDVRC_NOHIST

4 

UP-TO-DATE FLAG (PROV 

INFO): 1+ VARICELLACONTAINING SHOT AT 4+ 

YEARS OF AGE, NO 

HISTORY OF CHICKEN 

POX DISEASE, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Up-to-date variable added to the PUF 

in 2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

225

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

P_UTDVRC2

UP-TO-DATE FLAG (PROV 

INFO): 2+ VARICELLACONTAINING SHOTS AT 

12+ MONTHS OF AGE, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

P_UTDVRC2_NOHIS

T4

UP-TO-DATE FLAG (PROV 

INFO): 2+ VARICELLACONTAINING SHOTS AT 

4+ YEARS OF AGE, NO 

HISTORY OF CHICKEN 

POX DISEASE, 

EXCLUDING ANY 

VACCINATIONS AFTER 

THE RDD INTERVIEW 

DATE.

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Up-to-date variable added to the PUF 

in 2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

PDAT ADEQUATE PROVIDER 

DATA FLAG Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to change in adequate provider data definition.

PDAT2 ADEQUATE PROVIDER 

DATA FLAG - - - - - - Y Y Y Y Y Y Y Y Y Added in 2014 due to change in adequate provider data definition.

PPS_AGE1

AGE IN YEARS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#1

Y Y Y Y Y Y Y Y Y Y - Y - - -

Dropped in 2018 due to a provider 

reporting issue. Added back in 2019. 

Dropped in 2020 due to shot category 

being removed from the NIS-Teen 

IHQ.

PPS_AGE2

AGE IN YEARS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#2

Y Y Y Y Y Y Y Y Y Y - Y - - -

Dropped in 2018 due to a provider 

reporting issue. Added back in 2019. 

Dropped in 2020 due to shot category 

being removed from the NIS-Teen 

IHQ.

PPS_AGE3

AGE IN YEARS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#3

Y Y Y Y Y Y Y Y Y Y - Y - - -

Dropped in 2018 due to a provider 

reporting issue. Added back in 2019. 

Dropped in 2020 due to shot category 

being removed from the NIS-Teen 

IHQ.

PPS_AGE4

AGE IN YEARS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#4

Y Y Y Y Y Y Y Y Y Y - Y - - -

Dropped in 2018 due to a provider 

reporting issue. Added back in 2019. 

Dropped in 2020 due to shot category 

being removed from the NIS-Teen 

IHQ.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

226

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

PPS_AGE5

AGE IN YEARS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#5

Y Y Y Y Y Y Y Y Y Y - Y - - -

Dropped in 2018 due to a provider 

reporting issue. Added back in 2019. 

Dropped in 2020 due to shot category 

being removed from the NIS-Teen 

IHQ.

PPS_AGE6

AGE IN YEARS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#6

Y Y Y Y Y Y Y Y Y Y - Y - - -

Dropped in 2018 due to a provider 

reporting issue. Added back in 2019. 

Dropped in 2020 due to shot category 

being removed from the NIS-Teen 

IHQ.

PPS_AGE7

AGE IN YEARS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#7

Y Y Y Y Y Y Y Y Y Y - Y - - -

Dropped in 2018 due to a provider 

reporting issue. Added back in 2019. 

Dropped in 2020 due to shot category 

being removed from the NIS-Teen 

IHQ.

PPS_AGE8

AGE IN YEARS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#8

Y Y Y Y Y Y Y Y Y Y - Y - - -

Dropped in 2018 due to a provider 

reporting issue. Added back in 2019. 

Dropped in 2020 due to shot category 

being removed from the NIS-Teen 

IHQ.

PPS_AGE9

AGE IN YEARS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#9

Y Y Y Y Y Y Y Y Y Y - Y - - -

Dropped in 2018 due to a provider 

reporting issue. Added back in 2019. 

Dropped in 2020 due to shot category 

being removed from the NIS-Teen 

IHQ.

PPS_DAGE1

AGE IN DAYS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#1

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_DAGE2

AGE IN DAYS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#2

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_DAGE3

AGE IN DAYS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#3

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

227

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

PPS_DAGE4

AGE IN DAYS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#4

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_DAGE5

AGE IN DAYS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#5

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_DAGE6

AGE IN DAYS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#6

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_DAGE7

AGE IN DAYS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#7

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_DAGE8

AGE IN DAYS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#8

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_DAGE9

AGE IN DAYS OF PROVREPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#9

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

228

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

PPS_MAGE1

AGE IN MONTHS OF 

PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#1

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_MAGE2

AGE IN MONTHS OF 

PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#2

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_MAGE3

AGE IN MONTHS OF 

PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#3

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_MAGE4

AGE IN MONTHS OF 

PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#4

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_MAGE5

AGE IN MONTHS OF 

PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#5

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_MAGE6

AGE IN MONTHS OF 

PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#6

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

229

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

PPS_MAGE7

AGE IN MONTHS OF 

PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#7

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_MAGE8

AGE IN MONTHS OF 

PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#8

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PPS_MAGE9

AGE IN MONTHS OF 

PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT 

#9

- - - Y Y Y Y Y Y Y - Y - - -

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019. Dropped in 2020 due to shot 

category being removed from the 

NIS-Teen IHQ.

PROVWT

FINAL PROVIDER-PHASE 

WEIGHT (EXCLUDING 

U.S. VIRGIN ISLANDS)

Y Y Y - - - - - - - - - - - -

Replaced by PROVWT_LL in 2011 

due to addition of dual-frame 

weights.

PROVWT_C

FINAL SINGLE-FRAME 

CELL-PHONE PROVIDERPHASE WEIGHT 

(EXCLUDES 

TERRITORIES)

- - - - - - - - - - Y Y Y Y Y Replaced PROVWT_D in 2018 due 

to removal of the landline sample.

PROVWT_C_TERR

FINAL SINGLE-FRAME 

CELL-PHONE PROVIDERPHASE WEIGHT 

(INCLUDING 

TERRITORIES)

- - - - - - - - - - - Y Y Y Y 

Added in 2019 to replace 

PROVWT_D_TERR due to removal 

of the landline sample.

PROVWT_D

FINAL DUAL-FRAME 

PROVIDER-PHASE 

WEIGHT (EXCLUDES 

TERRITORIES)

- - - Y Y Y Y Y Y Y - - - - -

Added in 2011 as dual-frame weight. 

Replaced by PROVWT_C in 2018 

due to removal of the landline 

sample.

PROVWT_D_TERR

FINAL PROVIDER-PHASE 

WEIGHT (INCLUDING 

TERRITORIES)

- - - - - - Y Y Y - - - - - -

Replaced PROVWTVIGU_D in 2014 

due to addition of Puerto Rico 

sample. Dropped in 2017 as no data 

from U.S. territories were included on 

the PUF.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

230

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

PROVWT_LL

FINAL LANDLINE 

PROVIDER-PHASE 

WEIGHT (EXCLUDING 

U.S. VIRGIN ISLANDS)

- - - Y - - - - - - - - - - -

Replaced PROVWT in 2011 to 

distinguish from new dual-frame 

weight PROVWT_D. Removed in 

2012.

PROVWTVI

FINAL PROVIDER-PHASE 

WEIGHT (INCLUDING 

U.S. VIRGIN ISLANDS)

- Y Y - - - - - - - - - - - -

Added in 2009 to include U.S. Virgin 

Island sample. Replaced by 

PROVWTVI_LL in 2011 due to 

addition of dual-frame weights. 

PROVWTVI_D

FINAL PROVIDER-PHASE 

WEIGHT (INCLUDING 

U.S. VIRGIN ISLANDS)

- - - - Y - - - - - - - - - -

Replaced PROVWTVI_LL in 2012.

Replaced with PROVWTVIGU_D in 

2013 due to the addition of Guam 

sample.

PROVWTVI_LL

FINAL LANDLINE 

PROVIDER-PHASE 

WEIGHT (INCLUDING 

U.S. VIRGIN ISLANDS)

- - - Y - - - - - - - - - - -

Replaced PROVWTVI in 2011. 

Replaced with dual-frame weight 

PROVWTVI_D in 2012.

PROVWTVIGU_D

FINAL PROVIDER-PHASE 

WEIGHT (INCLUDING 

U.S. VIRGIN ISLANDS 

AND GUAM)

- - - - - Y - - - - - - - - -

Replaced PROVWTVI_D in 2013 

due to the addition of Guam sample. 

Replaced with PROVWT_D_TERR 

in 2014 due to addition of Puerto 

Rico sample.

RACE_K

RACE OF TEEN WITH 

MULTIRACE CATEGORY: 

IMPUTED (RECODE)

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

RACEETHK

RACE/ETHNICITY OF 

TEEN WITH MULTIRACE 

CATEGORY: IMPUTED 

(RECODE)

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

RDDWT

FINAL HOUSEHOLDPHASE WEIGHT 

(EXCLUDING U.S. VIRGIN 

ISLANDS)

Y Y Y - - - - - - - - - - - -

Replaced by RDDWT_LL in 2011 

due to addition of dual-frame 

weights.

RDDWT_C

FINAL SINGLE-FRAME 

CELL-PHONE RDD-PHASE 

WEIGHT (EXCLUDES 

TERRITORIES)

- - - - - - - - - - Y Y Y Y Y Replaced RDDWT_D in 2018 due to 

removal of the landline sample.

RDDWT_C_TERR

FINAL SINGLE-FRAME 

CELL-PHONE RDD-PHASE 

WEIGHT (INCLUDING 

TERRITORIES)

- - - - - - - - - - - Y Y Y Y 

Added in 2019 to replace 

RDDWT_D_TERR due to removal 

of the landline sample.

RDDWT_D

FINAL DUAL-FRAME 

RDD-PHASE WEIGHT 

(EXCLUDES 

TERRITORIES)

- - - Y Y Y Y Y Y Y - - - - -

Added in 2011 as dual-frame weight. 

Replaced by RDDWT_C in 2018 due 

to removal of the landline sample.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

231

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

RDDWT_D_TERR

FINAL RDD-PHASE 

WEIGHT (INCLUDING 

TERRITORIES)

- - - - - - Y Y Y - - - - - -

Replaced RDDWTVIGU_D in 2014 

due to addition of Puerto Rico 

sample. Dropped in 2017 as no data 

from U.S. territories were included on 

the PUF.

RDDWT_LL

FINAL LANDLINE 

HOUSEHOLD-PHASE 

WEIGHT (EXCLUDING 

U.S. VIRGIN ISLANDS)

- - - Y - - - - - - - - - - -

Replaced RDDWT in 2011 to 

distinguish from new dual-frame 

weight RDDWT_D. Removed in 

2012.

RDDWTVI

FINAL HOUSEHOLDPHASE WEIGHT 

(INCLUDING U.S. VIRGIN 

ISLANDS)

- Y Y - - - - - - - - - - - -

Added in 2009 to include U.S. Virgin 

Island sample. Replaced by 

RDDWTVI_LL in 2011 due to 

addition of dual-frame weights.

RDDWTVI_D

FINAL HOUSEHOLDPHASE WEIGHT 

(INCLUDING U.S. VIRGIN 

ISLANDS)

- - - - Y - - - - - - - - - -

Replaced RDDWTVI_LL in 2012. 

Replaced with RDDWTVIGU_D in 

2013 due to the addition of Guam 

sample.

RDDWTVI_LL

FINAL LANDLINE 

HOUSEHOLD-PHASE 

WEIGHT (INCLUDING 

U.S. VIRGIN ISLANDS)

- - - Y - - - - - - - - - - -

Replaced RDDWTVI in 2011. 

Replaced with dual-frame weight 

RDDWTVI_D in 2012.

RDDWTVIGU_D

FINAL HOUSEHOLDPHASE WEIGHT 

(INCLUDING U.S. VIRGIN 

ISLANDS AND GUAM) 

- - - - - Y - - - - - - - - -

Replaced RDDWTVI_D in 2013 due 

to the addition of Guam sample. 

Replaced with RDDWT_D_TERR in 

2014 due to addition of Puerto Rico 

sample.

REGISTRY

DID TEEN'S PROVIDERS 

REPORT TEEN'S 

IMMUNIZATIONS TO 

IMMUNIZATION 

REGISTRY?

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

RENT_OWN

IS HOME OWNED/BEING 

BOUGHT, RENTED, OR 

OCCUPIED BY SOME 

OTHER ARRANGEMENT?

Y Y Y Y Y Y Y Y Y Y Y Y Y Y 

Question added to the questionnaire 

starting in late 2008, and introduced 

in the PUF in 2009.

RISK_EVER

HAS DOCTOR, NURSE, OR 

OTHER HEALTH CARE 

PROFESSIONAL EVER 

SAID THAT TEEN HAS 

HAD ANY OF THE 

FOLLOWING HEALTH 

CONDITIONS?

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y - 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

232

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

RISK_HH

DO ANY OTHER 

MEMBERS OF TEEN'S 

HOUSEHOLD HAVE ANY 

OF THE FOLLOWING 

HEALTH CONDITIONS?

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

RISK_NOW

DOES TEEN STILL HAVE 

ANY OF THESE 

CONDITIONS?

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

SEQNUMT UNIQUE TEEN 

IDENTIFIER Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y - 

SEX SEX OF TEEN: IMPUTED Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y - 

SHOTCARD_ALL

HH-REPORT: DOES SHOT 

RECORD INCLUDE ALL 

VACCINATIONS?

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

STATE

TRUE STATE OF 

RESIDENCE (STATE FIPS 

CODE)

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

STRATUM

STRATUM VARIABLE 

FOR VARIANCE 

ESTIMATION

- - - - Y Y Y Y Y Y Y Y Y Y Y 

Replaced STRATUM_D in 2012. 

Equal to sample frame by estimation 

area.

STRATUM_D

STRATUM VARIABLE 

FOR DUAL-FRAME 

VARIANCE ESTIMATION

- - - Y - - - - - - - - - - -

Added in 2011. Equal to sample 

frame by estimation area. Replaced 

by STRATUM in 2012.

TDP_AGE1

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #1

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TDP_AGE2

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #2

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TDP_AGE3

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #3

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TDP_AGE4

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #4

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TDP_AGE5

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #5

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TDP_AGE6

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #6

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

233

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

TDP_AGE7

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #7

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TDP_AGE8

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #8

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TDP_AGE9

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #9

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TDP_DAGE1

AGE IN DAYS OF PROVREPORTED TD/TDAPCONTAINING SHOT #1

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_DAGE2

AGE IN DAYS OF PROVREPORTED TD/TDAPCONTAINING SHOT #2

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_DAGE3

AGE IN DAYS OF PROVREPORTED TD/TDAPCONTAINING SHOT #3

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_DAGE4

AGE IN DAYS OF PROVREPORTED TD/TDAPCONTAINING SHOT #4

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_DAGE5

AGE IN DAYS OF PROVREPORTED TD/TDAPCONTAINING SHOT #5

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_DAGE6

AGE IN DAYS OF PROVREPORTED TD/TDAPCONTAINING SHOT #6

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_DAGE7

AGE IN DAYS OF PROVREPORTED TD/TDAPCONTAINING SHOT #7

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_DAGE8

AGE IN DAYS OF PROVREPORTED TD/TDAPCONTAINING SHOT #8

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_DAGE9

AGE IN DAYS OF PROVREPORTED TD/TDAPCONTAINING SHOT #9

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_MAGE1

AGE IN MONTHS OF 

PROV-REPORTED 

TD/TDAP-CONTAINING 

SHOT #1

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_MAGE2

AGE IN MONTHS OF 

PROV-REPORTED 

TD/TDAP-CONTAINING 

SHOT #2

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

234

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

TDP_MAGE3

AGE IN MONTHS OF 

PROV-REPORTED 

TD/TDAP-CONTAINING 

SHOT #3

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_MAGE4

AGE IN MONTHS OF 

PROV-REPORTED 

TD/TDAP-CONTAINING 

SHOT #4

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_MAGE5

AGE IN MONTHS OF 

PROV-REPORTED 

TD/TDAP-CONTAINING 

SHOT #5

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_MAGE6

AGE IN MONTHS OF 

PROV-REPORTED 

TD/TDAP-CONTAINING 

SHOT #6

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_MAGE7

AGE IN MONTHS OF 

PROV-REPORTED 

TD/TDAP-CONTAINING 

SHOT #7

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_MAGE8

AGE IN MONTHS OF 

PROV-REPORTED 

TD/TDAP-CONTAINING 

SHOT #8

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TDP_MAGE9

AGE IN MONTHS OF 

PROV-REPORTED 

TD/TDAP-CONTAINING 

SHOT #9

- - - Y Y Y Y Y Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011.

TEL_SAMPFRAME

SAMPLE FRAME 

INDICATOR (LANDLINE 

OR CELL-PHONE)

- - - Y - - - - - - - - - - - Added in 2011. Dropped in 2012 due 

to use of only dual-frame weights.

TET_AGE_SC1

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

TETANUS BOOSTER 

SHOT #1 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_AGE_SC2

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

TETANUS BOOSTER 

SHOT #2 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_AGE_SC3

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

TETANUS BOOSTER 

SHOT #3 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

235

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

TET_AGE_SC4

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

TETANUS BOOSTER 

SHOT #4 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_AGE_SC5

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

TETANUS BOOSTER 

SHOT #5 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_AGE_SC6

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

TETANUS BOOSTER 

SHOT #6 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_AGE_SC7

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

TETANUS BOOSTER 

SHOT #7 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_AGE_SC8

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

TETANUS BOOSTER 

SHOT #8 (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_ANY

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

TETANUS BOOSTER 

SHOTS?

- - - - - - - Y Y Y Y Y Y Y Y Replaced TET_ANY_REC in 2015.

TET_ANY_REC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

TETANUS BOOSTER 

SHOTS? (RECALL)

Y Y Y Y Y Y Y - - - - - - - - Replaced by TET_ANY in 2015. 

TET_ANY_SC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

TETANUS BOOSTER 

SHOTS? (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_LAST_AGE

AGE IN YEARS AT LAST 

TETANUS BOOSTER 

SHOT (RECALL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_LAST_TYPE

TYPE OF LAST TETANUS 

BOOSTER SHOT 

(RECALL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_NUM_SC

NUMBER OF HHREPORTED TETANUS 

BOOSTER SHOTS 

RECEIVED (SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

236

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

TET_PLACE_1

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER 

AGE 7 YEARS: DOCTOR'S 

OFFICE

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_PLACE_10

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER 

AGE 7 YEARS: HOSPITALBASED CLINIC

- - - - Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_PLACE_11

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER 

AGE 7 YEARS: WHILE 

HOSPITALIZED

- - - - Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_PLACE_12

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER 

AGE 7 YEARS: 

ELEMENTARY/MIDDLE/H

IGH SCHOOL

- - - - Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_PLACE_2

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER 

AGE 7 YEARS: 

EMERGENCY ROOM

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_PLACE_3

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER 

AGE 7 YEARS: HEALTH 

DEPARTMENT

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_PLACE_4

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER 

AGE 7 YEARS: CLINIC OR 

HEALTH CENTER

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_PLACE_5

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER 

AGE 7 YEARS: HOSPITAL

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

237

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

TET_PLACE_6

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER 

AGE 7 YEARS: OTHER 

MEDICALLY-RELATED 

PLACE

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_PLACE_7

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER 

AGE 7 YEARS: 

PHARMACY OR DRUG 

STORE

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_PLACE_8

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER 

AGE 7 YEARS: 

WORKPLACE

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_PLACE_9

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER 

AGE 7 YEARS: OTHER 

NON-MEDICALLYRELATED PLACE

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_REAS_1

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: NOT 

RECOMMENDED

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -

TET_REAS_10

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: COSTS

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_11

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: 

SAFETY CONCERN/SIDE 

EFFECTS

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_12

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: 

EFFECTIVENESS 

CONCERN

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_13

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: TEEN 

FEARFUL

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

238

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

TET_REAS_14

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: TEEN 

SHOULD MAKE 

DECISION

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_15

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: 

COLLEGE SHOT

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_16

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: DON'T 

BELIEVE IN 

VACCINATIONS

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_17

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: 

FAMILY/PARENTAL 

DECISION

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_18

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: 

HANDICAPPED/SPECIAL 

NEEDS/ILLNESS

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_19

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: 

RELIGION/ORTHODOX

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_2

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: LACK 

OF KNOWLEDGE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_20

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: TIME

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_21

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: MORE 

INFO/NEW VACCINE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_22

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: 

ALREADY UP-TO-DATE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

239

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

TET_REAS_23

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: NOT 

AVAILABLE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_24

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: NOT A 

SCHOOL REQUIREMENT

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_25

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: 

INTEND TO COMPLETE 

BUT HAVE NOT 

YET/ALREADY PLANNED

- - - - - - - - Y Y Y Y Y Y Y Additional reason flag added in 2016.

TET_REAS_26

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: 

DIFFICULTY MAKING OR 

GETTING TO 

APPOINTMENT/TRANSPO

RTATION PROBLEMS

- - - - - - - - Y Y Y Y Y Y Y Additional reason flag added in 2016.

TET_REAS_27

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: COVID19 PANDEMIC

- - - - - - - - - - - - Y Y Y Additional reason flag added in 2020.

TET_REAS_3

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: NOT 

NEEDED OR NOT 

NECESSARY

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_4

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: NO 

DOCTOR OR DOCTOR'S 

VISIT NOT SCHEDULED

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_5

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: NOT 

APPROPRIATE AGE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

TET_REAS_7

MAIN REASON TEEN DID 

NOT RECEIVE TETANUS 

BOOSTER SHOTS: OTHER 

REASON

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

240

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

TET_RECOM

HAD OR HAS DOCTOR OR 

OTHER HEALTH CARE 

PROFESSIONAL EVER 

RECOMMENDED THAT 

TEEN RECEIVE TETANUS 

BOOSTER SHOTS?

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_TYPE1

TYPE OF HH-REPORTED 

TETANUS BOOSTER 

SHOT #1

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_TYPE2

TYPE OF HH-REPORTED 

TETANUS BOOSTER 

SHOT #2

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_TYPE3

TYPE OF HH-REPORTED 

TETANUS BOOSTER 

SHOT #3

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_TYPE4

TYPE OF HH-REPORTED 

TETANUS BOOSTER 

SHOT #4

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_TYPE5

TYPE OF HH-REPORTED 

TETANUS BOOSTER 

SHOT #5

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_TYPE6

TYPE OF HH-REPORTED 

TETANUS BOOSTER 

SHOT #6

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_TYPE7

TYPE OF HH-REPORTED 

TETANUS BOOSTER 

SHOT #7

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TET_TYPE8

TYPE OF HH-REPORTED 

TETANUS BOOSTER 

SHOT #8

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

TIS_INS_1

IS TEEN COVERED BY 

HEALTH INSURANCE 

PROVIDED THROUGH 

EMPLOYER OR UNION?

Y Y Y Y Y Y Y Y - - - - - - - Replaced with INS_STAT_I and 

INS_BREAK_I in 2016.

TIS_INS_11

SINCE AGE 11, ANY TIME 

WHEN TEEN WAS NOT 

COVERED BY ANY 

HEALTH INSURANCE?

Y Y Y Y Y Y Y Y - - - - - - - Replaced with INS_STAT_I and 

INS_BREAK_I in 2016.

TIS_INS_2 IS TEEN COVERED BY 

ANY MEDICAID PLAN? Y Y Y Y Y Y Y Y - - - - - - - Replaced with INS_STAT_I and INS_BREAK_I in 2016.

TIS_INS_3 IS TEEN COVERED BY 

CHIP? Y Y Y Y Y Y Y Y - - - - - - - Replaced with INS_STAT_I and INS_BREAK_I in 2016.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

241

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

TIS_INS_3A

IS TEEN COVERED BY 

ANY MEDICAID PLAN OR 

CHIP?

Y Y Y Y Y Y Y Y - - - - - - - Replaced with INS_STAT_I and 

INS_BREAK_I in 2016.

TIS_INS_4

IS TEEN COVERED BY 

INDIAN HEALTH 

SERVICE?

Y - - - - - - - - - - - - - - Replaced by TIS_INS_4_5 starting 

2009.

TIS_INS_4_5

IS TEEN COVERED BY 

INDIAN HEALTH 

SERVICE, MILITARY 

HEALTH CARE, TRICARE, 

CHAMPUS, OR CHAMPVA?

- Y Y Y Y Y Y Y - - - - - - -

Replaced TIS_INS_4 and TIS_INS_5 

starting 2009. Replaced with 

INS_STAT_I and INS_BREAK_I in 

2016.

TIS_INS_5

IS TEEN COVERED BY 

MILITARY HEALTH 

CARE, TRICARE, 

CHAMPUS, OR CHAMPVA?

Y - - - - - - - - - - - - - - Replaced by TIS_INS_4_5 starting 

2009.

TIS_INS_6

IS TEEN COVERED BY 

ANY OTHER HEALTH 

INSURANCE OR HEALTH 

CARE PLAN?

Y Y Y Y Y Y Y Y - - - - - - - Replaced with INS_STAT_I and 

INS_BREAK_I in 2016.

VFC_I DERIVED: IS TEEN VFC 

ELIGIBLE? - Y Y Y - - - - - - - - - - -

Added in 2009 to aid analysis. 

Dropped starting in 2012 due to a 

change in the IHQ.

VFC_ORDER

DO TEEN'S PROVIDERS 

ORDER VACCINES FROM 

STATE/LOCAL HEALTH 

DEPT?

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

VISITS

IN PAST 12 MONTHS 

NUMBER OF TIMES TEEN 

HAS SEEN A DOCTOR OR 

OTHER HEALTH CARE 

PROFESSIONAL

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

VRC_AGE_SC1

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

VARICELLA SHOT #1 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

VRC_AGE_SC2

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

VARICELLA SHOT #2 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

VRC_AGE_SC3

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

VARICELLA SHOT #3 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

242

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

VRC_AGE_SC4

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

VARICELLA SHOT #4 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

VRC_AGE_SC5

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

VARICELLA SHOT #5 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

VRC_AGE_SC6

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

VARICELLA SHOT #6 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

VRC_AGE_SC7

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

VARICELLA SHOT #7 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

VRC_AGE_SC8

AGE OF TEEN IN YEARS 

AT HH-REPORTED 

VARICELLA SHOT #8 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

VRC_AGE1

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #1

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

VRC_AGE2

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #2

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

VRC_AGE3

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #3

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

VRC_AGE4

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #4

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

VRC_AGE5

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #5

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

VRC_AGE6

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #6

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

VRC_AGE7

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #7

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

VRC_AGE8

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #8

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

243

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

VRC_AGE9

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #9

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

VRC_ANY_REC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

VARICELLA SHOTS? 

(RECALL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

VRC_ANY_SC

HH-REPORT: HAS TEEN 

EVER RECEIVED ANY 

VARICELLA SHOTS? 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

VRC_DAGE1

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING SHOT #1

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_DAGE2

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING SHOT #2

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_DAGE3

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING SHOT #3

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_DAGE4

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING SHOT #4

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_DAGE5

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING SHOT #5

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_DAGE6

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING SHOT #6

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

244

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

VRC_DAGE7

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING SHOT #7

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_DAGE8

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING SHOT #8

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_DAGE9

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING SHOT #9

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_HIST

HISTORY OF CHICKEN 

POX REPORTED BY THE 

HOUSEHOLD OR BY ANY 

PROVIDER

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_MAGE1

AGE IN MONTHS OF 

PROV-REPORTED 

VARICELLACONTAINING SHOT #1

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_MAGE2

AGE IN MONTHS OF 

PROV-REPORTED 

VARICELLACONTAINING SHOT #2

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_MAGE3

AGE IN MONTHS OF 

PROV-REPORTED 

VARICELLACONTAINING SHOT #3

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_MAGE4

AGE IN MONTHS OF 

PROV-REPORTED 

VARICELLACONTAINING SHOT #4

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_MAGE5

AGE IN MONTHS OF 

PROV-REPORTED 

VARICELLACONTAINING SHOT #5

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

245

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

VRC_MAGE6

AGE IN MONTHS OF 

PROV-REPORTED 

VARICELLACONTAINING SHOT #6

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_MAGE7

AGE IN MONTHS OF 

PROV-REPORTED 

VARICELLACONTAINING SHOT #7

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_MAGE8

AGE IN MONTHS OF 

PROV-REPORTED 

VARICELLACONTAINING SHOT #8

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_MAGE9

AGE IN MONTHS OF 

PROV-REPORTED 

VARICELLACONTAINING SHOT #9

- - - Y Y Y Y Y Y Y - Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF in 

2011. Dropped in 2018 due to a 

provider reporting issue. Added back 

in 2019.

VRC_NUM_REC

NUMBER OF HHREPORTED VARICELLA 

SHOTS RECEIVED 

(RECALL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

VRC_NUM_SC

NUMBER OF HHREPORTED VARICELLA 

SHOTS RECEIVED 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

VRC_NUM_TOT

NUMBER OF HHREPORTED VARICELLA 

SHOTS RECEIVED 

(TOTAL)

Y Y Y Y Y Y - - - - - - - - - Dropped in 2014 due to shortened 

questionnaire.

WELLCHILD

DID TEEN RECEIVE AN 

11-12 YEAR OLD WELL 

CHILD EXAM OR CHECKUP?

- - - - - - - - - - Y Y Y Y Y Added in 2018.

XFLUTY1

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #1 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XFLUTY2

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #2 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

246

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

XFLUTY3

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #3 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XFLUTY4

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #4 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XFLUTY5

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #5 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XFLUTY6

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #6 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XFLUTY7

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #7 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XFLUTY8

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #8 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XFLUTY9

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #9 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XH1NTY1

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #1 TYPE 

CODE

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

XH1NTY2

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #2 TYPE 

CODE

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

XH1NTY3

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #3 TYPE 

CODE

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

247

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

XH1NTY4

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #4 TYPE 

CODE

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

XH1NTY5

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #5 TYPE 

CODE

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

XH1NTY6

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #6 TYPE 

CODE

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

XH1NTY7

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #7 TYPE 

CODE

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

XH1NTY8

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #8 TYPE 

CODE

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

XH1NTY9

MONOVALENT 2009 H1N1 

INFLUENZA 

VACCINATION #9 TYPE 

CODE

- - Y Y Y - - - - - - - - - -

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the PUF 

in 2013.

XHEPATY1

HEPATITIS ACONTAINING 

VACCINATION #1 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPATY2

HEPATITIS ACONTAINING 

VACCINATION #2 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPATY3

HEPATITIS ACONTAINING 

VACCINATION #3 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

248

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

XHEPATY4

HEPATITIS ACONTAINING 

VACCINATION #4 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPATY5

HEPATITIS ACONTAINING 

VACCINATION #5 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPATY6

HEPATITIS ACONTAINING 

VACCINATION #6 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPATY7

HEPATITIS ACONTAINING 

VACCINATION #7 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPATY8

HEPATITIS ACONTAINING 

VACCINATION #8 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPATY9

HEPATITIS ACONTAINING 

VACCINATION #9 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPBTY1

HEPATITIS BCONTAINING 

VACCINATION #1 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPBTY2

HEPATITIS BCONTAINING 

VACCINATION #2 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPBTY3

HEPATITIS BCONTAINING 

VACCINATION #3 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPBTY4

HEPATITIS BCONTAINING 

VACCINATION #4 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPBTY5

HEPATITIS BCONTAINING 

VACCINATION #5 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

249

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

XHEPBTY6

HEPATITIS BCONTAINING 

VACCINATION #6 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPBTY7

HEPATITIS BCONTAINING 

VACCINATION #7 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPBTY8

HEPATITIS BCONTAINING 

VACCINATION #8 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHEPBTY9

HEPATITIS BCONTAINING 

VACCINATION #9 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XHPVTY1 HUMAN 

PAPILLOMAVIRUS 

VACCINATION #1 TYPE 

CODE

- - - - Y Y Y Y Y Y Y Y Y Y Y HPV shot type variables added to the 

PUF in 2012.

XHPVTY2 HUMAN 

PAPILLOMAVIRUS 

VACCINATION #2 TYPE 

CODE

- - - - Y Y Y Y Y Y Y Y Y Y Y HPV shot type variables added to the 

PUF in 2012.

XHPVTY3 HUMAN 

PAPILLOMAVIRUS 

VACCINATION #3 TYPE 

CODE

- - - - Y Y Y Y Y Y Y Y Y Y Y HPV shot type variables added to the 

PUF in 2012.

XHPVTY4 HUMAN 

PAPILLOMAVIRUS 

VACCINATION #4 TYPE 

CODE

- - - - Y Y Y Y Y Y Y Y Y Y Y HPV shot type variables added to the 

PUF in 2012.

XHPVTY5 HUMAN 

PAPILLOMAVIRUS 

VACCINATION #5 TYPE 

CODE

- - - - Y Y Y Y Y Y Y Y Y Y Y HPV shot type variables added to the 

PUF in 2012.

XHPVTY6 HUMAN 

PAPILLOMAVIRUS 

VACCINATION #6 TYPE 

CODE

- - - - Y Y Y Y Y Y Y Y Y Y Y HPV shot type variables added to the 

PUF in 2012.

XHPVTY7 HUMAN 

PAPILLOMAVIRUS 

VACCINATION #7 TYPE 

CODE

- - - - Y Y Y Y Y Y Y Y Y Y Y HPV shot type variables added to the 

PUF in 2012.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

250

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

XHPVTY8 HUMAN 

PAPILLOMAVIRUS 

VACCINATION #8 TYPE 

CODE

- - - - Y Y Y Y Y Y Y Y Y Y Y HPV shot type variables added to the 

PUF in 2012.

XHPVTY9 HUMAN 

PAPILLOMAVIRUS 

VACCINATION #9 TYPE 

CODE

- - - - Y Y Y Y Y Y Y Y Y Y Y HPV shot type variables added to the 

PUF in 2012.

XMCVTY1

MEASLES-CONTAINING 

VACCINATION #1 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XMCVTY2

MEASLES-CONTAINING 

VACCINATION #2 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XMCVTY3

MEASLES-CONTAINING 

VACCINATION #3 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XMCVTY4

MEASLES-CONTAINING 

VACCINATION #4 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XMCVTY5

MEASLES-CONTAINING 

VACCINATION #5 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XMCVTY6

MEASLES-CONTAINING 

VACCINATION #6 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XMCVTY7

MEASLES-CONTAINING 

VACCINATION #7 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XMCVTY8

MEASLES-CONTAINING 

VACCINATION #8 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XMCVTY9

MEASLES-CONTAINING 

VACCINATION #9 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XMENBTY1

MENINGOCOCCAL 

SEROGROUP B 

VACCINATION #1 TYPE 

CODE

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

XMENBTY2

MENINGOCOCCAL 

SEROGROUP B 

VACCINATION #2 TYPE 

CODE

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

251

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

XMENBTY3

MENINGOCOCCAL 

SEROGROUP B 

VACCINATION #3 TYPE 

CODE

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

XMENBTY4

MENINGOCOCCAL 

SEROGROUP B 

VACCINATION #4 TYPE 

CODE

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

XMENBTY5

MENINGOCOCCAL 

SEROGROUP B 

VACCINATION #5 TYPE 

CODE

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

XMENBTY6

MENINGOCOCCAL 

SEROGROUP B 

VACCINATION #6 TYPE 

CODE

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

XMENBTY7

MENINGOCOCCAL 

SEROGROUP B 

VACCINATION #7 TYPE 

CODE

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

XMENBTY8

MENINGOCOCCAL 

SEROGROUP B 

VACCINATION #8 TYPE 

CODE

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

XMENBTY9

MENINGOCOCCAL 

SEROGROUP B 

VACCINATION #9 TYPE 

CODE

- - - - - - - - Y Y Y Y Y Y Y Meningococcal Serogroup B added to 

the IHQ shotgrid starting in 2016.

XMENTY1

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #1 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XMENTY2

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #2 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XMENTY3

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #3 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XMENTY4

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #4 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

252

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

XMENTY5

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #5 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XMENTY6

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #6 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XMENTY7

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #7 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XMENTY8

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #8 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XMENTY9

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #9 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XTDPTY1

TD/TDAP-CONTAINING 

VACCINATION #1 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XTDPTY2

TD/TDAP-CONTAINING 

VACCINATION #2 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XTDPTY3

TD/TDAP-CONTAINING 

VACCINATION #3 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XTDPTY4

TD/TDAP-CONTAINING 

VACCINATION #4 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XTDPTY5

TD/TDAP-CONTAINING 

VACCINATION #5 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XTDPTY6

TD/TDAP-CONTAINING 

VACCINATION #6 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XTDPTY7

TD/TDAP-CONTAINING 

VACCINATION #7 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XTDPTY8

TD/TDAP-CONTAINING 

VACCINATION #8 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

253

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Notes

XTDPTY9

TD/TDAP-CONTAINING 

VACCINATION #9 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y

- 

XVRCTY1

VARICELLACONTAINING 

VACCINATION #1 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XVRCTY2

VARICELLACONTAINING 

VACCINATION #2 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XVRCTY3

VARICELLACONTAINING 

VACCINATION #3 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XVRCTY4

VARICELLACONTAINING 

VACCINATION #4 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XVRCTY5

VARICELLACONTAINING 

VACCINATION #5 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XVRCTY6

VARICELLACONTAINING 

VACCINATION #6 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XVRCTY7

VARICELLACONTAINING 

VACCINATION #7 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XVRCTY8

VARICELLACONTAINING 

VACCINATION #8 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

XVRCTY9

VARICELLACONTAINING 

VACCINATION #9 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y Y Y Y Dropped in 2018 due to a provider 

reporting issue. Added back in 2019.

YEAR SAMPLING YEAR Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y -
Summary Tables APPENDIX E 

254

Appendix E: Summary Tables

Table E.1: Estimated Population Totals and Sample Sizes of Teens Aged 13-17 Years by State and 

Estimation Area, National Immunization Survey - Teen, 2022 

State/Estimation Area

Estimation

Area Number

(ESTIAPT22) 

Estimated 

Population Total 

of Teens

Number 

of Teens 

with 

Complete 

Household 

Interviews

Number 

of Teens 

with 

Adequate 

Provider 

Data

Percent 

of Teens 

with 

Adequate 

Provider 

Data

U.S. National* 21,831,327 41,325 16,043 38.8

Alabama 20 333,291 756 269 35.6

Alaska 74 48,431 550 240 43.6

Arizona 66 491,382 798 273 34.2

Arkansas 46 208,990 785 332 42.3

California 68 2,599,904 982 321 32.7

Colorado 60 374,086 770 342 44.4

Connecticut 1 224,624 654 258 39.4

Delaware 13 60,307 665 250 37.6

District of Columbia 12 28,641 653 237 36.3

Florida 22 1,285,015 912 307 33.7

Georgia 25 767,112 839 333 39.7

Hawaii 72 81,267 647 237 36.6

Idaho 75 145,073 542 251 46.3

Illinois 838,318 1,710 630 36.8

 IL-City of Chicago 35 151,185 713 256 35.9

 IL-Rest of State 34 687,133 997 374 37.5

Indiana 36 469,278 690 258 37.4

Iowa 56 218,108 458 207 45.2

Kansas 57 208,564 759 310 40.8

Kentucky 27 298,539 688 276 40.1

Louisiana 47 314,593 898 330 36.7

Maine 4 77,277 612 268 43.8

Maryland 14 398,808 864 346 40.0

Massachusetts 2 408,246 698 268 38.4

Michigan 38 641,304 621 257 41.4

Minnesota 40 389,122 799 331 41.4

Mississippi 28 210,562 706 232 32.9

Missouri 58 411,320 735 284 38.6

Montana 61 69,922 685 297 43.4

Nebraska 59 140,984 571 247 43.3

Nevada 73 208,790 794 259 32.6

New Hampshire 5 79,581 566 225 39.8

New Jersey 8 601,029 880 289 32.8

New Mexico 49 144,285 633 276 43.6

New York 1,165,590 1,466 536 36.6

 NY-City of New York 11 466,033 632 222 35.1

 NY-Rest of State 10 699,557 834 314 37.6

North Carolina 29 695,009 878 361 41.1

North Dakota 62 50,950 635 280 44.1

Ohio 41 769,148 650 269 41.4

Oklahoma 50 283,130 655 249 38.0

Oregon 76 248,839 659 263 39.9

Pennsylvania 796,453 2,017 752 37.3

 PA-Philadelphia County 17 93,027 676 267 39.5

 PA-Rest of State 16 703,426 1,341 485 36.2
Summary Tables APPENDIX E 

255

State/Estimation Area

Estimation

Area Number

(ESTIAPT22) 

Estimated 

Population Total 

of Teens

Number 

of Teens 

with 

Complete 

Household 

Interviews

Number 

of Teens 

with 

Adequate 

Provider 

Data

Percent 

of Teens 

with 

Adequate 

Provider 

Data

Rhode Island 6 62,449 662 285 43.1

South Carolina 30 339,530 765 269 35.2

South Dakota 63 63,083 585 252 43.1

Tennessee 31 458,786 587 244 41.6

Texas 2,215,047 2,335 794 34.0

 TX-Bexar County 55 151,603 669 253 37.8

 TX-City of Houston 54 142,756 484 157 32.4

 TX-Rest of State 51 1,920,688 1,182 384 32.5

Utah 64 286,417 578 271 46.9

Vermont 7 36,405 597 291 48.7

Virginia 18 554,433 1,694 595 35.1

Washington 77 485,710 688 280 40.7

West Virginia 19 107,580 579 244 42.1

Wisconsin 44 385,386 662 274 41.4

Wyoming 65 40,723 713 294 41.2

Puerto Rico 106 180,796 2,413 671 27.8

* Excludes U.S. territories. 
Summary Tables APPENDIX E 

256

Table E.2: Estimated Population Totals and Sample Sizes by Age of Teen by Maternal Education, 

National Immunization Survey - Teen, 2022 

Age of 

Teen in 

Years Maternal Education 

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Unweighted 

Completes

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Weighted 

Completes†

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Unweighted 

Completes

TEENS WITH 

ADEQUATE 

PROVIDER DATA*

Weighted 

Completes§

13 <12 Years 479 539,877 192 568,867 

13 12 Years 1,265 930,185 461 928,510 

13 >12, Non College Graduate 1,988 984,413 803 1,045,212 

13 College Grad 4,102 1,880,154 1,742 1,977,397 

14 <12 Years 531 518,520 196 474,252 

14 12 Years 1,405 906,495 503 836,496 

14 >12, Non College Graduate 2,136 1,066,123 847 1,013,764 

14 College Grad 4,306 1,921,538 1,853 1,902,807 

15 <12 Years 489 496,770 205 507,509 

15 12 Years 1,400 922,398 470 981,855 

15 >12, Non College Graduate 2,110 911,632 826 1,029,115 

15 College Grad 4,308 1,907,203 1,718 1,889,950 

16 <12 Years 462 543,874 165 517,943 

16 12 Years 1,346 860,152 487 958,813 

16 >12, Non College Graduate 2,156 1,090,029 796 1,018,303 

16 College Grad 4,457 1,958,471 1,760 1,996,292 

17 <12 Years 465 534,324 169 446,610 

17 12 Years 1,343 844,738 456 876,480 

17 >12, Non College Graduate 2,142 988,678 762 970,051 

17 College Grad 4,435 2,025,753 1,632 1,891,102 

Total 41,325 21,831,327 16,043 21,831,327 

* Excludes U.S. territories. 

† Weighted by single-frame cellular phone weight RDDWT_C. 

§ Weighted by single-frame cellular phone weight PROVWT_C. 
Summary Tables APPENDIX E 

257

Table E.3: Estimated Population Totals and Sample Sizes by Age of Teen by Poverty Status, 

National Immunization Survey - Teen, 2022 

Age of 

Teen in 

Years Poverty Status

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Unweighted 

Completes

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Weighted 

Completes†

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Unweighted 

Completes

TEENS WITH 

ADEQUATE 

PROVIDER DATA*

Weighted 

Completes§

13 Above poverty, > $75K 4,401 2,096,670 1,874 2,250,801 

13 Above poverty, <= $75K 2,060 1,240,725 827 1,260,543 

13 Below poverty 930 742,212 402 757,695 

13 Unknown 443 255,023 95 250,947 

14 Above poverty, > $75K 4,637 2,138,909 1,927 1,987,213 

14 Above poverty, <= $75K 2,300 1,312,189 965 1,339,093 

14 Below poverty 936 661,907 414 670,004 

14 Unknown 505 299,671 93 231,010 

15 Above poverty, > $75K 4,592 2,006,159 1,825 2,113,161 

15 Above poverty, <= $75K 2,279 1,256,961 937 1,375,040 

15 Below poverty 899 686,903 375 721,302 

15 Unknown 537 287,979 82 198,925 

16 Above poverty, > $75K 4,748 2,100,501 1,875 2,199,754 

16 Above poverty, <= $75K 2,287 1,334,085 901 1,364,054 

16 Below poverty 844 717,749 351 738,057 

16 Unknown 542 300,191 81 189,487 

17 Above poverty, > $75K 4,899 2,201,114 1,822 2,116,440 

17 Above poverty, <= $75K 2,122 1,225,696 772 1,226,865 

17 Below poverty 818 675,752 341 664,585 

17 Unknown 546 290,930 84 176,353 

Total 41,325 21,831,327 16,043 21,831,327 

* Excludes U.S. territories. 

† Weighted by single-frame cellular phone weight RDDWT_C.

§ Weighted by single-frame cellular phone weight PROVWT_C.
Summary Tables APPENDIX E 

258

Table E.4: Estimated Population Totals and Sample Sizes by Race/Ethnicity by Poverty Status, 

National Immunization Survey - Teen, 2022 

Race/Ethnicity of Teen† Poverty Status

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Unweighted 

Completes

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Weighted 

Completes§

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Unweighted 

Completes

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Weighted 

Completes¶

Hispanic Above poverty, > $75K 2,754 1,841,360 1,060 1,859,212

Hispanic Above poverty, <= $75K 2,330 1,931,484 883 1,895,690

Hispanic Below poverty 1,449 1,475,922 615 1,487,077

Hispanic Unknown 495 372,661 101 342,183

Non-Hispanic White Only Above poverty, > $75K 15,891 6,418,622 6,581 6,530,348

Non-Hispanic White Only Above poverty, <= $75K 5,753 2,710,664 2,357 2,715,919

Non-Hispanic White Only Below poverty 1,519 898,817 667 904,567

Non-Hispanic White Only Unknown 1,391 627,586 226 441,961

Non-Hispanic Black Only Above poverty, > $75K 1,695 978,268 563 903,154

Non-Hispanic Black Only Above poverty, <= $75K 1,574 1,077,519 581 1,190,480

Non-Hispanic Black Only Below poverty 837 711,540 347 758,056

Non-Hispanic Black Only Unknown 308 219,160 42 124,067

Non-Hispanic Other & 

Multiple Race Above poverty, > $75K 2,937 1,305,104 1,119 1,374,654

Non-Hispanic Other & 

Multiple Race Above poverty, <= $75K 1,391 649,990 581 763,505

Non-Hispanic Other & 

Multiple Race Below poverty 622 398,244 254 401,943

Non-Hispanic Other & 

Multiple Race Unknown 379 214,389 66 138,510

Total 41,325 21,831,327 16,043 21,831,327

* Excludes U.S. territories. 

† Race/ethnicity is respondent-reported and the categories presented here are mutually exclusive. 

§ Weighted by single-frame cellular phone weight RDDWT_C.

¶ Weighted by single-frame cellular phone weight PROVWT_C.
Summary Tables APPENDIX E 

259

Table E.5: Estimated Population Totals and Sample Sizes by Age of Teen by Race/Ethnicity, 

National Immunization Survey - Teen, 2022 

Age of 

Teen in 

Years Race/Ethnicity of Teen†

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Unweighted 

Completes

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Weighted 

Completes§

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Unweighted 

Completes

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Weighted 

Completes¶

13 Hispanic 1,375 1,138,038 556 1,257,157

13 Non-Hispanic White Only 4,607 2,065,504 1,944 2,109,589

13 Non-Hispanic Black Only 857 608,815 305 607,084

13 Non-Hispanic Other & Multiple Races 995 522,273 393 546,156

14 Hispanic 1,452 1,102,099 549 982,865

14 Non-Hispanic White Only 4,942 2,216,724 2,069 2,151,359

14 Non-Hispanic Black Only 859 572,091 325 530,075

14 Non-Hispanic Other & Multiple Races 1,125 521,762 456 563,020

15 Hispanic 1,431 1,129,942 565 1,287,691

15 Non-Hispanic White Only 4,858 2,011,335 1,946 2,044,163

15 Non-Hispanic Black Only 920 600,582 320 626,747

15 Non-Hispanic Other & Multiple Races 1,098 496,144 388 449,827

16 Hispanic 1,401 1,143,740 511 1,127,445

16 Non-Hispanic White Only 5,130 2,198,192 2,000 2,223,734

16 Non-Hispanic Black Only 856 587,415 283 577,256

16 Non-Hispanic Other & Multiple Races 1,034 523,179 414 562,916

17 Hispanic 1,369 1,107,608 478 929,004

17 Non-Hispanic White Only 5,017 2,163,933 1,872 2,063,950

17 Non-Hispanic Black Only 922 617,584 300 634,596

17 Non-Hispanic Other & Multiple Races 1,077 504,368 369 556,693

Total 41,325 21,831,327 16,043 21,831,327

* Excludes U.S. territories. 

† Race/ethnicity is respondent-reported and the categories presented here are mutually exclusive. 

§ Weighted by single-frame cellular phone weight RDDWT_C.

¶ Weighted by single-frame cellular phone weight PROVWT_C.
Summary Tables APPENDIX E 

260

Table E.6: Estimated Population Totals and Sample Sizes by Age and Sex of Teen, National 

Immunization Survey - Teen, 2022 

Age of Teen 

in Years Sex

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Unweighted 

Completes

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Weighted 

Completes†

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Unweighted 

Completes

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Weighted 

Completes§

13 Male 4,097 2,204,540 1,673 2,239,897

13 Female 3,737 2,130,090 1,525 2,280,089

14 Male 4,338 2,245,854 1,763 2,118,225

14 Female 4,040 2,166,821 1,636 2,109,094

15 Male 4,366 2,158,441 1,736 2,270,131

15 Female 3,941 2,079,561 1,483 2,138,297

16 Male 4,300 2,305,131 1,672 2,365,824

16 Female 4,121 2,147,396 1,536 2,125,528

17 Male 4,294 2,261,539 1,576 2,181,429

17 Female 4,091 2,131,953 1,443 2,002,814

Total 41,325 21,831,327 16,043 21,831,327

* Excludes U.S. territories. 

† Weighted by single-frame cellular phone weight RDDWT_C.

§ Weighted by single-frame cellular phone weight PROVWT_C.
Summary Tables APPENDIX E 

261

Table E.7: Estimated Vaccination Coverage*†, With Selected Vaccines Among Adolescents Aged 13-17 Years§, by State and Selected Area -- National 

Immunization Survey - Teen, United States, 2022 

BOTH 

SEXES

≥ 1 Td or 

Tdap¶

BOTH 

SEXES

≥ 1 Tdap**

BOTH 

SEXES

≥ 1 

MenACWY††

FEMALE

≥1 dose

HPV§§

FEMALE

≥ 3 doses HPV, 

or ≥ 2 doses 

HPV with age 

and interval 

restriction***

MALE

≥1 dose 

HPV§§

MALE

≥ 3 doses HPV, 

or ≥ 2 doses 

HPV with age 

and interval 

restriction***

BOTH 

SEXES

≥1 dose 

HPV§§

BOTH 

SEXES

≥ 3 doses HPV, 

or ≥ 2 doses 

HPV with age 

and interval 

restriction***

 % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI)

US National††† 91.7(±0.9) 89.9(±1.0) 88.6(±1.0) 77.8(±1.9) 64.6(±2.1) 74.4(±1.8) 60.6(±2.0) 76.0(±1.3) 62.6(±1.4)

Alabama 94.2(±3.1) 93.4(±3.4) 84.4(±4.8) 77.2(±8.0) 59.8(±9.5) 76.4(±8.4) 58.7(±10.1) 76.8(±5.8) 59.2(±6.9)

Alaska 85.0(±5.8) 83.0(±6.1) 81.3(±6.0) 78.3(±10.0) 61.9(±11.8) 74.2(±8.8) 54.1(±10.3) 76.1(±6.6) 57.8(±7.8)

Arizona 86.6(±5.3) 85.2(±5.4) 86.7(±5.0) 74.0(±9.4) 59.2(±10.5) 78.8(±7.5) 64.8(±9.4) 76.5(±6.0) 62.1(±7.1)

Arkansas 94.4(±2.7) 93.6(±2.8) 95.4(±2.4) 78.8(±7.5) 56.9(±9.6) 70.8(±8.1) 54.5(±9.1) 74.7(±5.5) 55.7(±6.6)

California 88.1(±4.7) 82.7(±5.9) 81.5(±5.8) 70.1(±9.9) 60.8(±10.3) 74.1(±8.4) 60.4(±9.5) 72.2(±6.5) 60.6(±7.0)

Colorado 92.8(±3.1) 92.4(±3.1) 83.6(±4.4) 81.1(±7.2) 69.4(±8.4) 78.3(±6.8) 62.3(±8.0) 79.7(±4.9) 65.7(±5.8)

Connecticut 93.5(±3.8) 92.7(±3.9) 92.4(±4.4) 83.3(±7.8) 74.3(±9.1) 76.8(±9.4) 69.5(±9.9) 80.0(±6.2) 71.9(±6.7)

Delaware 89.1(±5.2) 88.2(±5.3) 89.3(±5.3) 82.6(±8.2) 67.5(±10.4) 85.8(±7.5) 68.8(±10.1) 84.2(±5.6) 68.2(±7.2)

Dist. of Columbia 91.3(±4.3) 89.7(±4.6) 92.9(±3.6) 88.0(±6.8) 75.1(±10.9) 85.1(±8.6) 80.6(±9.5) 86.5(±5.5) 77.8(±7.2)

Florida 97.2(±1.8) 96.0(±2.2) 86.9(±5.2) 77.3(±8.8) 64.4(±10.3) 73.9(±9.5) 53.5(±10.9) 75.6(±6.5) 58.9(±7.6)

Georgia 92.2(±4.1) 91.1(±4.2) 93.0(±3.8) 76.8(±8.5) 65.9(±9.4) 65.1(±9.4) 57.2(±9.6) 70.8(±6.4) 61.5(±6.7)

Hawaii 92.3(±3.7) 90.6(±4.0) 88.9(±4.6) 88.6(±6.6) 79.4(±8.5) 84.2(±7.7) 69.3(±9.3) 86.4(±5.1) 74.2(±6.4)

Idaho 90.7(±4.7) 89.9(±4.8) 90.5(±4.8) 84.9(±7.4) 75.0(±9.0) 77.0(±8.6) 59.2(±10.7) 80.8(±5.7) 66.9(±7.1)

Illinois 94.6(±2.6) 93.6(±2.7) 93.9(±2.6) 81.5(±6.2) 67.1(±7.4) 79.1(±6.4) 64.3(±7.4) 80.3(±4.5) 65.7(±5.3)

IL-City of Chicago 92.1(±4.1) 90.5(±4.4) 89.1(±5.3) 81.2(±10.1) 69.6(±11.5) 84.7(±8.3) 68.9(±10.7) 83.0(±6.5) 69.2(±7.8)

IL-Rest of State 95.1(±3.0) 94.3(±3.2) 94.9(±3.0) 81.6(±7.3) 66.6(±8.6) 77.9(±7.6) 63.3(±8.8) 79.7(±5.3) 64.9(±6.2)

Indiana 95.3(±2.8) 94.2(±3.2) 92.8(±3.7) 77.5(±9.3) 63.5(±10.5) 73.6(±9.1) 55.8(±9.8) 75.5(±6.5) 59.6(±7.2)

Iowa 97.3(±3.3) 97.3(±3.3) 97.9(±2.2) 88.6(±7.6) 74.4(±11.2) 87.2(±7.3) 75.4(±9.1) 87.9(±5.3) 74.9(±7.2)

Kansas 89.5(±4.6) 89.2(±4.6) 85.9(±5.1) 73.5(±9.1) 61.9(±9.9) 73.4(±8.1) 59.5(±9.0) 73.4(±6.1) 60.7(±6.7)

Kentucky 88.7(±5.1) 86.4(±5.5) 90.4(±4.8) 70.6(±9.5) 57.5(±9.9) 62.3(±9.8) 52.6(±10.2) 66.4(±6.8) 55.0(±7.1)

Louisiana 94.3(±3.3) 94.1(±3.3) 90.4(±4.3) 81.6(±7.8) 69.3(±9.3) 78.2(±7.8) 65.5(±9.0) 79.8(±5.5) 67.3(±6.5)

Maine 97.1(±1.9) 94.4(±3.3) 96.3(±2.4) 81.3(±8.6) 65.6(±9.8) 74.6(±8.1) 66.8(±8.7) 77.9(±5.9) 66.2(±6.5)

Maryland 89.0(±5.6) 89.0(±5.6) 92.4(±4.6) 85.5(±8.5) 78.6(±9.3) 82.5(±8.6) 65.7(±10.8) 84.0(±6.1) 72.0(±7.3)

Massachusetts 94.5(±3.4) 94.1(±3.5) 93.9(±3.9) 86.7(±7.9) 76.3(±9.7) 84.5(±7.5) 77.8(±8.3) 85.6(±5.5) 77.1(±6.4)

Michigan 94.4(±3.4) 92.7(±3.7) 91.2(±4.7) 82.5(±8.1) 72.6(±9.3) 70.5(±10.2) 52.4(±11.2) 76.3(±6.6) 62.2(±7.7)

Minnesota 94.2(±3.0) 93.8(±3.0) 94.6(±2.9) 85.8(±6.3) 65.6(±9.2) 88.0(±5.2) 71.5(±8.2) 86.9(±4.1) 68.6(±6.2)
Summary Tables APPENDIX E 

262

BOTH 

SEXES

≥ 1 Td or 

Tdap¶

BOTH 

SEXES

≥ 1 Tdap**

BOTH 

SEXES

≥ 1 

MenACWY††

FEMALE

≥1 dose

HPV§§

FEMALE

≥ 3 doses HPV, 

or ≥ 2 doses 

HPV with age 

and interval 

restriction***

MALE

≥1 dose 

HPV§§

MALE

≥ 3 doses HPV, 

or ≥ 2 doses 

HPV with age 

and interval 

restriction***

BOTH 

SEXES

≥1 dose 

HPV§§

BOTH 

SEXES

≥ 3 doses HPV, 

or ≥ 2 doses 

HPV with age 

and interval 

restriction***

 % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI)

Mississippi 87.4(±5.6) 87.0(±5.6) 55.5(±8.3) 60.6(±11.5) 37.0(±11.3) 61.4(±10.9) 39.8(±11.8) 61.0(±7.9) 38.5(±8.2)

Missouri 91.9(±3.6) 90.0(±4.0) 90.1(±4.5) 80.3(±7.4) 63.8(±9.4) 68.0(±9.8) 55.9(±10.4) 74.0(±6.3) 59.8(±7.1)

Montana 90.5(±4.2) 89.6(±4.3) 81.6(±5.4) 80.0(±8.0) 59.5(±10.0) 83.4(±6.7) 61.0(±9.1) 81.8(±5.2) 60.3(±6.8)

Nebraska 91.5(±4.1) 90.1(±4.3) 88.3(±4.9) 76.2(±9.1) 56.5(±10.2) 85.7(±7.7) 73.9(±9.1) 81.1(±6.0) 65.4(±7.1)

Nevada 90.3(±4.2) 89.2(±4.4) 85.9(±5.1) 78.2(±8.9) 63.8(±10.4) 72.0(±8.6) 55.4(±9.8) 75.0(±6.2) 59.5(±7.2)

New Hampshire 93.4(±3.6) 92.8(±3.8) 90.5(±4.6) 85.8(±7.8) 76.6(±9.1) 85.7(±7.3) 75.9(±8.8) 85.7(±5.3) 76.2(±6.3)

New Jersey 89.6(±4.4) 86.0(±5.2) 91.0(±4.1) 73.4(±9.5) 61.3(±10.4) 77.5(±8.4) 66.0(±9.6) 75.5(±6.3) 63.7(±7.1)

New Mexico 87.2(±5.2) 84.1(±5.7) 84.4(±5.5) 83.3(±7.8) 63.8(±10.0) 75.7(±9.0) 57.8(±10.4) 79.4(±6.0) 60.8(±7.2)

New York 92.0(±2.8) 90.4(±3.0) 96.5(±1.8) 81.6(±5.6) 69.0(±6.7) 82.0(±5.6) 72.3(±6.4) 81.8(±3.9) 70.7(±4.6)

NY-City of New York 93.1(±4.0) 91.7(±4.4) 95.7(±3.4) 82.7(±8.3) 67.3(±10.6) 85.9(±7.6) 79.0(±8.6) 84.3(±5.6) 73.3(±6.9)

NY-Rest of State 91.3(±3.7) 89.5(±4.1) 97.1(±1.9) 80.9(±7.4) 70.2(±8.6) 79.3(±7.7) 67.8(±8.8) 80.1(±5.3) 69.0(±6.2)

North Carolina 93.8(±3.4) 91.2(±4.0) 92.8(±3.8) 70.9(±9.3) 53.5(±9.9) 75.3(±8.4) 56.0(±9.5) 73.1(±6.3) 54.8(±6.9)

North Dakota 94.3(±3.5) 93.8(±3.6) 96.0(±2.9) 81.3(±8.7) 74.4(±9.6) 84.5(±7.9) 74.4(±9.0) 82.9(±5.9) 74.4(±6.6)

Ohio 92.1(±4.5) 91.7(±4.5) 92.1(±4.6) 81.9(±9.4) 65.1(±11.3) 71.9(±10.2) 60.5(±10.7) 76.8(±7.0) 62.7(±7.8)

Oklahoma 91.6(±3.5) 89.6(±4.2) 82.2(±5.7) 70.4(±10.3) 46.5(±11.5) 67.9(±9.6) 45.8(±10.2) 69.1(±7.0) 46.2(±7.6)

Oregon 91.9(±3.6) 90.7(±3.8) 80.3(±5.8) 82.2(±8.3) 67.0(±10.1) 79.4(±7.8) 64.2(±9.3) 80.7(±5.7) 65.6(±6.8)

Pennsylvania 94.1(±2.6) 93.9(±2.6) 94.5(±2.3) 76.1(±6.7) 67.2(±7.1) 76.7(±6.2) 66.3(±6.7) 76.4(±4.6) 66.7(±4.8)

PA-Philadelphia 94.3(±3.6) 93.2(±3.9) 93.1(±4.1) 90.3(±7.6) 77.2(±10.2) 91.8(±5.9) 72.9(±9.2) 91.1(±4.8) 75.0(±6.8)

PA-Rest of State 94.0(±2.9) 94.0(±2.9) 94.7(±2.5) 74.2(±7.5) 65.9(±7.9) 74.7(±7.0) 65.4(±7.4) 74.5(±5.1) 65.6(±5.4)

Rhode Island 96.4(±2.6) 95.1(±2.9) 96.2(±2.7) 93.3(±4.2) 85.2(±7.9) 95.8(±4.2) 85.2(±7.7) 94.6(±3.0) 85.2(±5.5)

South Carolina 93.8(±3.9) 93.6(±3.9) 85.3(±5.4) 75.5(±9.9) 64.7(±10.5) 64.5(±10.1) 44.3(±10.0) 69.9(±7.2) 54.4(±7.5)

South Dakota 93.5(±3.7) 93.5(±3.7) 93.0(±3.8) 74.9(±10.0) 64.3(±10.9) 82.8(±7.3) 72.1(±9.0) 79.0(±6.2) 68.3(±7.1)

Tennessee 92.2(±4.1) 90.6(±4.8) 82.9(±5.9) 74.4(±9.9) 65.9(±10.9) 73.9(±9.4) 62.9(±10.5) 74.1(±6.8) 64.4(±7.6)

Texas 86.3(±4.3) 85.0(±4.5) 86.5(±4.3) 77.8(±8.2) 63.5(±9.2) 63.0(±8.4) 53.7(±8.5) 70.3(±5.9) 58.5(±6.3)

TX-Bexar County 88.2(±5.4) 88.1(±5.4) 91.2(±4.6) 85.9(±7.5) 71.6(±10.6) 66.0(±11.2) 55.6(±11.5) 75.9(±7.1) 63.6(±8.0)

TX-City of Houston 89.1(±6.3) 89.1(±6.3) 87.4(±6.5) 82.2(±10.4) 57.8(±14.3) 79.8(±11.4) 68.9(±14.0) 81.0(±7.7) 63.2(±10.2)

TX-Rest of State 86.0(±5.0) 84.5(±5.2) 86.0(±4.9) 76.8(±9.4) 63.3(±10.6) 61.6(±9.5) 52.5(±9.7) 69.0(±6.8) 57.8(±7.2)

Utah 94.0(±4.1) 93.5(±4.2) 91.5(±4.5) 75.2(±9.7) 62.5(±10.3) 71.0(±9.8) 48.3(±10.4) 73.0(±6.9) 55.2(±7.5)

Vermont 95.1(±3.0) 92.1(±4.0) 91.2(±4.0) 89.4(±6.6) 73.7(±9.1) 86.6(±6.3) 70.3(±9.0) 88.0(±4.6) 71.9(±6.4)

Virginia 91.9(±3.0) 89.7(±3.4) 85.0(±3.9) 80.4(±6.0) 64.4(±7.4) 74.7(±6.8) 61.0(±7.2) 77.5(±4.6) 62.7(±5.2)
Summary Tables APPENDIX E 

263

BOTH 

SEXES

≥ 1 Td or 

Tdap¶

BOTH 

SEXES

≥ 1 Tdap**

BOTH 

SEXES

≥ 1 

MenACWY††

FEMALE

≥1 dose

HPV§§

FEMALE

≥ 3 doses HPV, 

or ≥ 2 doses 

HPV with age 

and interval 

restriction***

MALE

≥1 dose 

HPV§§

MALE

≥ 3 doses HPV, 

or ≥ 2 doses 

HPV with age 

and interval 

restriction***

BOTH 

SEXES

≥1 dose 

HPV§§

BOTH 

SEXES

≥ 3 doses HPV, 

or ≥ 2 doses 

HPV with age 

and interval 

restriction***

 % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI)

Washington 96.3(±2.4) 94.9(±2.8) 90.1(±4.1) 88.3(±6.3) 71.0(±10.3) 82.7(±7.4) 71.1(±8.8) 85.4(±4.9) 71.1(±6.7)

West Virginia 93.1(±3.3) 92.7(±3.4) 94.2(±3.2) 71.9(±9.5) 62.4(±10.3) 68.0(±9.5) 41.2(±9.6) 69.9(±6.7) 51.5(±7.3)

Wisconsin 92.8(±4.0) 90.2(±4.3) 90.3(±4.4) 77.9(±9.0) 67.6(±9.8) 82.9(±7.8) 70.4(±9.4) 80.5(±6.0) 69.0(±6.8)

Wyoming 90.4(±4.3) 89.1(±4.5) 73.2(±6.7) 66.9(±10.5) 52.4(±11.0) 64.1(±9.8) 46.2(±9.8) 65.5(±7.2) 49.2(±7.4)

Guam 76.7(±7.2) 72.6(±7.6) 65.2(±8.2) 63.5(±12.4) 42.7(±11.6) 75.1(±9.3) 46.2(±11.1) 69.8(±7.8) 44.6(±8.1)

Puerto Rico 89.9(±2.9) 85.5(±3.5) 89.8(±2.9) 86.4(±5.0) 68.9(±6.8) 90.2(±3.6) 71.6(±6.2) 88.4(±3.1) 70.3(±4.6)

* Estimate presented as point estimate (%) ± 95% confidence interval (CI). Estimate=NA (Not Available) if the unweighted sample size for the denominator was <30 or (95% CI half width)/Estimate 

> 0.6.

† Estimates with 95% CI half-widths >10 may not be reliable. 

§ Adolescents in the 2022 NIS-Teen were born between January 2004 and January 2010. Vaccination coverage estimates include only adolescents who had adequate provider-reported immunization 

records. 

¶ ≥1 dose of tetanus toxoid-diphtheria vaccine (Td) or tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) at or after age ten years.

** ≥1 dose of tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) at or after age ten years.

†† ≥1 dose of quadrivalent meningococcal conjugate vaccine or meningococcal-unknown type vaccine.

§§ ≥1 dose of human papillomavirus vaccine, either 9-valent (9vHPV), quadrivalent (4vHPV), or bivalent (2vHPV). 

*** ≥3 doses of human papillomavirus vaccine, or ≥ 2 doses with the first dose before age 15 and at least 5 months minus 4 days between the first and second dose. 

††† Excludes U.S. territories. 
Vaccine Type Codes APPENDIX F 

264

Appendix F: Vaccine Type Codes

Table F.1: Vaccine Type Codes, National Immunization Survey - Teen, 2022 

Vaccine Code Description

11 Td

14 Tdap

15 Td/Tdap-containing, unknown subtype 

30 MMR-only 

31 Measles-only 

32 Measles-Mumps 

33 Measles-Rubella 

43 HepB-Hib

4V Human Papillomavirus, Gardasil (quadrivalent) 

61 0.5 ml Recombivax 

62 1.0 ml Recombivax 

63 Engerix 

64 Hepatitis B-only, unknown subtype checked 

80 MenACWY (Menactra, Menveo) 

81 MPSV4 (Menomune) 

82 Meningococcal serogroup ACWY, unknown subtype 

9V Human Papillomavirus, Gardasil (9-valent) 

BB MenB-4C 

BT MenB-FHbp

BU Meningococcal serogroup B, unknown subtype 

CJ Johnson & Johnson/Janssen

CM Moderna 

CN Novavax 

CP Pfizer-BioNTech

CX COVID-19, unknown subtype 

CV Human Papillomavirus, Cervarix (bivalent)

FL Seasonal Flu-containing, unknown subtype 

FM Seasonal Flumist

FN Injected Seasonal Flu, other/unknown subtype 

FV Seasonal Fluvirin

FZ Seasonal Fluzone

HA Hepatitis A-containing, unknown subtype 

HB Hepatitis B-containing, unknown subtype 

HO Hepatitis A-only (Havrix or Vaqta)
Vaccine Type Codes APPENDIX F 

265

Vaccine Code Description

HP Human Papillomavirus, unknown subtype 

MM Measles-containing, unknown subtype 

VA Varicella-containing, unknown subtype 

VM MMR-Varicella

VO Varicella-only 

UV Human Papillomavirus, Gardasil (unknown valency) 
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2022 APPENDIX G 

 266

Appendix G: Trends in the NIS-Teen Response Rates and 

Vaccination Coverage Rates, 2006-2022 

Table G.1: Key Indicators* from Landline Sample Household and Provider Data Collection by 

Survey Year, National Immunization Survey - Teen, 2006-2017†

Survey Year

Resolution 

Rate (%) 

Screener 

Completion 

Rate (%) 

Interview 

Completion 

Rate (%) 

CASRO 

Response 

Rate (%) 

Teens with 

Adequate 

Provider 

Data (%) 

2006§ 82.4 81.4 83.7 56.2 52.7 

2007§ 82.2 81.5 83.5 55.9 53.8 

2008 82.2 83.8 85.2 58.7 58.1 

2009 82.7 85.0 82.5 58.0 57.4 

2010 83.1 85.4 81.6 57.9 59.4 

2011 82.9 84.7 81.5 57.2 61.5 

2012 84.0 84.9 77.2 55.1 62.0 

2013 83.5 86.1 71.1 51.1 59.5 

2014 82.6 87.2 83.8 60.3 57.1 

2015 82.2 84.4 81.3 56.4 53.4 

2016 82.0 83.2 81.3 55.5 53.9 

2017 81.1 78.9 80.5 51.5 53.6 

* For the definitions of the key indicators see Table 1 of NIS-Teen Data User’s Guides for the survey year of interest.

† Excludes U.S. territories. The landline sample was removed from the NIS sample design beginning in 2018.

§ In 2006 and 2007, NIS-Teen was conducted only in Quarter 4.
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2022 APPENDIX G 

 267

Figure G.1: Trends in Landline Sample Key Indicators from Household and Provider Data 

Collection by Survey Year, National Immunization Survey - Teen, 2006-2017* 

 

* Excludes U.S. territories. The landline sample was removed from the NIS sample design beginning in 2018.

† In 2006 and 2007, NIS-Teen was conducted only in Quarter 4.

Figure G.1 presents a graphical representation of the data contained in Table G.1. It shows how selected 

key indicators from landline sample household and provider data collection performed throughout the 

years, from 2006 to 2017. Note that these data apply to the landline sample only, which was removed 

from the NIS sample design beginning in 2018. 

40

50

60

70

80

90

100

2006† 2007† 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

Percent

Year

Resolution Rate (%) Screener Completion Rate (%)

Interview Completion Rate (%) CASRO Response Rate (%)

Teens with Adequate Provider Data (%)
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2022 APPENDIX G 

 268

Table G.2: Key Indicators* from Cellular Phone Sample Household and Provider Data Collection 

by Survey Year, National Immunization Survey - Teen, 2011-2022†

Survey Year§

Resolution 

Rate (%) 

Screener 

Completion 

Rate (%) 

Interview 

Completion 

Rate (%) 

CASRO 

Response 

Rate (%) 

Teens with 

Adequate 

Provider 

Data (%) 

2011 46.9 70.2 68.0 22.4 54.6 

2012 52.0 70.6 64.0 23.6 56.4 

2013 53.9 73.1 59.1 23.3 54.5 

2014 58.9 72.9 72.7 31.2 52.3 

2015 56.6 73.4 71.7 29.8 48.9 

2016 54.4 76.8 70.7 29.5 47.4 

2017 43.1 77.1 70.9 23.5 47.1 

2018 40.9 79.2 71.9 23.3 48.3 

2019 34.9 78.9 71.5 19.7 44.0 

2020 36.8 79.4 70.9 20.7 45.9 

2021 39.6 77.7 68.4 21.0 41.2 

2022 43.7 78.3 67.2 23.0 38.8 

* For the definitions of the key indicators see Table 1 of NIS-Teen Data User’s Guides for the survey year of interest.

† Excludes U.S. territories. 

§ Cellular phone sample was added to the NIS-Teen in 2011.

Figure G.2: Trends in Cellular Phone Sample Key Indicators from Household and Provider Data 

Collection by Survey Year, National Immunization Survey - Teen, 2011-2022* 

* Excludes U.S. territories. 

0

10

20

30

40

50

60

70

80

90

100

2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022

Percent

Year

Resolution Rate (%) Screener Completion Rate (%)

Interview Completion Rate (%) CASRO Response Rate (%)

Teens with Adequate Provider Data (%)
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2022 APPENDIX G 

 269

Figure G.2 presents a graphical representation of the data contained in Table G.2. It shows how selected 

key indicators from cellular phone sample household and provider data collection performed from 2011 to 

present. Note that these data apply to the cellular phone sample only. Cellular phone sample was added to 

the NIS in 2011. 
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2022 APPENDIX G 

 270

Table G.3: CASRO Response Rate for the Combined Landline and Cellular Phone Samples by 

Survey Year, National Immunization Survey - Teen, 2011-2017*

Survey Year† CASRO Response Rate (%)

2011 47.7 

2012 40.0 

2013 28.0 

2014 41.6 

2015 32.9 

2016 32.7 

2017 25.7 

* Excludes U.S. territories. 

† Cellular phone sample was added to the NIS-Teen in 2011. The NIS-Teen transitioned from a dual-frame landline and cellular 

phone RDD sample design to a single-frame cellular phone RDD sample design beginning in 2018.

Figure G.3: Trend in CASRO Response Rate for the Combined Landline and Cellular Phone

Samples by Survey Year, National Immunization Survey - Teen, 2011-2017*

* Excludes U.S. territories. The landline sample was removed from the NIS sample design beginning in 2018.

The response rate is the number of households with a completed household interview divided by the 

estimated number of eligible households in the sample. Within each sample type (landline or cellular

phone), the number of eligible households was estimated using the CASRO assumptions; these 

assumptions are that the rate of households among the unresolved telephone numbers is the same as the 

observed rate of households among the resolved telephone numbers, and the rate of eligible households 

among unscreened households is the same as the observed rate of eligible households among screened 

0

10

20

30

40

50

60

70

80

90

100

2011 2012 2013 2014 2015 2016 2017

Percent

Year

CASRO Response Rate (%)
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2022 APPENDIX G 

 271

households. Under these assumptions, within each sample type the CASRO response rate is equal to the 

product of the resolution rate, the screener completion rate, and the interview completion rate. For the 

combined samples, we have defined the CASRO response rate as the total number of households with a 

completed interview divided by the estimated total number of eligible households across both sample 

types, where the estimated total number of eligible households is equal to the sum of the estimated 

number of eligible households in the landline sample (using CASRO assumptions) and the estimated 

number of eligible households in the cellular phone sample (using CASRO assumptions). Table G.3 

presents the CASRO response rate calculated in this way for the combined landline and cellular phone

samples, by survey year, and Figure G.3 presents a graphical representation. Because the CASRO 

response rate is lower for the cellular phone sample than for the landline sample, the CASRO response 

rate for the combined landline and cellular phone samples was lower in years with a larger cellular phone 

sample and higher in years with a smaller cellular phone sample.
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2022 APPENDIX G 

 272

Table G.4: Vaccine-Specific Coverage Levels among Teens Age 13-17 Years in the United States 

by Survey Year, National Immunization Survey - Teen, 2006-2022*

Survey 

Year

≥ 1 Td 

or 

Tdap†

≥ 1 Tdap 

Since Age 

10§

≥ 1 

MenACWY¶

FEMALE 

HPV 

UTD**

MALE

HPV 

UTD**

≥2 

MMR§§ ≥ 3 HepB¶¶

VARICELLA

History of 

Varicella 

Disease***

VARICELLA

≥ 2 Doses Varicella 

Vaccine if Had No 

History of 

Varicella Disease

2006††† 60.1 10.8 11.7 - - 86.9 81.3 69.9 - 

2007††† 72.3 30.4 32.4 - - 88.9 87.6 65.8 18.8

2008 72.2 40.8 41.8 17.9 - 89.3 87.9 59.8 34.1

2009 76.2 55.6 53.6 26.7 - 89.1 89.9 52.7 48.6

2010 81.2 68.7 62.6 31.9 - 90.4 91.6 44.7 58.1

2011§§§ 85.3 78.2 70.5 34.8 1.3 91.1 92.3 36.6 68.3

2012 88.5 84.6 74.0 33.4 6.8 91.4 92.8 30.6 74.9

2013 89.1 86.0 77.8 37.6 13.9 91.8 93.2 25.4 78.5

2014¶¶¶ 89.8 87.6 79.3 39.7 21.6 90.7 91.4 21.0 81.0

2015 89.6 86.4 81.3 41.9 28.1 90.7 91.1 17.8 86.1

2016 90.6 88.0 82.2 43.0 31.5 90.9 91.4 15.2 85.6

2017 90.7 88.7 85.1 53.1 44.3 92.1 91.9 13.2 88.6

2018**** 91.2 88.9 86.6 53.7 48.7 - - - - 

2019 91.9 90.2 88.9 56.8 51.8 91.9 91.6 9.1 90.6

2020 92.0 90.1 89.3 61.4 56.0 92.4 92.6 8.4 91.9

2021 92.2 89.6 89.0 63.8 59.8 92.2 92.3 7.3 91.5

2022 91.7 89.9 88.6 64.6 60.6 91.2 91.2 7.0 90.8

* Excludes U.S. territories. 

† ≥1 dose of tetanus toxoid-diphtheria vaccine (Td) or tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) at 

or after age ten years.

§ ≥1 tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) since at or after age ten years.

¶ ≥1 quadrivalent meningococcal conjugate vaccine or meningococcal -unknown type vaccine.

** Prior to 2017, ≥3 doses were required to be considered UTD. Beginning in 2017, adolescents are considered UTD if they have 

≥3 doses, or 2 doses when the first HPV vaccine dose was initiated at age <15 years and there was at least 5 months minus 4 days 

between the first and second dose. This update to the HPV recommendation occurred in December 2016. Doses may be 9-valent 

(9vHPV), quadrivalent (4vHPV) or bivalent (2vHPV). 

§§ ≥ 2 doses of measles-mumps-rubella vaccine.

¶¶ ≥3 doses of hepatitis B vaccine.

*** By parent/guardian report or provider records.

††† In 2006 and 2007, NIS-Teen was conducted only in Quarter 4.

§§§ Prior to 2011, estimates are single-frame, landline-sample estimates. From 2011-2017, estimates are dual-frame (landline plus 

cellular phone) estimates. From 2018 onward, estimates are single-frame, cellular phone estimates.

Source: http://www.cdc.gov/vaccines/imz-managers/coverage/nis/teen/index.html

¶¶¶ Revised definition of adequate provider data (APD) implemented. 

**** MMR, Hep B, and Varicella estimates are not available for 2018 due to a provider reporting error. 
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2022 APPENDIX G 

 273

Figure G.4: Trends in Vaccine-Specific Coverage Levels among Teens Aged 13-17 Years in the 

United States by Survey Year, National Immunization Survey - Teen, 2006-2022*

 

* Excludes U.S. territories. 

† In 2006 and 2007, NIS-Teen was conducted only in Quarter 4.

§ Prior to 2011, estimates are single-frame, landline-sample estimates. From 2011-2017, estimates are dual-frame (landline plus 

cellular phone) estimates, and from 2018 onward estimates are single-frame, cellular phone sample estimates.

¶ Revised definition of adequate provider data (APD) implemented. 

** MMR, Hep B, and Varicella estimates are not available for 2018 due to a provider reporting error

Figure G.4 presents a graphical representation of selected data contained in Table G.4. It displays the 

trend in selected vaccine-specific coverage levels among teens aged 13-17 years from 2006 to 2022. Note 

that these data apply to the landline sample only from 2006-2010, to the dual-frame sample from 2011-

2017, and to the cellular phone sample only from 2018 forward.

0

10

20

30

40

50

60

70

80

90

100

2006† 2008 2010 2012 2014¶ 2016 2018** 2020 2022

Percent

Year

≥ 1 Td or Tdap ≥ 1 Tdap since age 10

≥ 1 MenACWY HPV UTD (females)

HPV UTD (males) ≥2 MMR

≥ 3 HepB ≥ 2 Varicella
Key NIS-Teen Response Rates by Area APPENDIX H 

 274

Appendix H: Key NIS-Teen Response Rates by Area

Table H.1: Key Indicators* for the Cellular Phone Sample by Estimation Area, National 

Immunization Survey - Teen, 2022 

Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Adolescents with 

Adequate Provider 

Data (%)

U.S. National† 43.7 78.3 67.2 23.0 38.8

Alabama 47.8 78.2 65.4 24.4 35.6

Alaska 50.6 77.2 72.9 28.5 43.6

Arizona 38.8 78.8 65.2 20.0 34.2

Arkansas 52.1 76.8 67.3 26.9 42.3

California 38.1 78.4 60.9 18.2 32.7

Colorado 37.2 82.3 68.5 21.0 44.4

Connecticut 34.4 77.8 68.5 18.3 39.4

Delaware 41.3 77.7 64.4 20.7 37.6

District of Columbia 42.6 77.7 69.0 22.8 36.3

Florida 36.8 74.1 70.1 19.1 33.7

Georgia 42.3 76.4 62.9 20.4 39.7

Hawaii 33.3 77.8 62.7 16.2 36.6

Idaho 34.0 75.6 76.5 19.7 46.3

Illinois 47.0 78.3 65.3 24.0 36.8

 IL-City of Chicago 47.8 77.7 63.5 23.6 35.9

 IL-Rest of State 45.9 79.2 67.4 24.5 37.5

Indiana 43.6 79.0 67.8 23.4 37.4

Iowa 49.8 79.8 70.4 28.0 45.2

Kansas 46.4 80.2 72.5 27.0 40.8

Kentucky 45.4 77.3 68.2 23.9 40.1

Louisiana 49.1 77.2 61.8 23.4 36.7

Maine 42.3 80.9 69.3 23.7 43.8

Maryland 40.0 71.7 69.9 20.1 40.0

Massachusetts 45.9 81.1 68.1 25.4 38.4

Michigan 48.0 78.2 67.2 25.2 41.4

Minnesota 39.8 82.7 69.1 22.7 41.4

Mississippi 49.0 74.1 63.8 23.2 32.9

Missouri 47.2 78.8 72.7 27.0 38.6

Montana 41.2 80.1 71.2 23.5 43.4

Nebraska 42.7 78.9 72.8 24.5 43.3

Nevada 37.2 77.1 62.5 17.9 32.6

New Hampshire 39.8 80.2 67.1 21.5 39.8

New Jersey 41.9 78.7 62.0 20.4 32.8

New Mexico 40.7 80.3 66.8 21.9 43.6

New York 41.2 77.4 63.2 20.2 36.6
Key NIS-Teen Response Rates by Area APPENDIX H 

 275

Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Adolescents with 

Adequate Provider 

Data (%)

 NY-City of New York 38.5 75.1 60.0 17.4 35.1

 NY-Rest of State 43.1 79.4 66.4 22.7 37.6

North Carolina 39.8 78.6 67.9 21.3 41.1

North Dakota 47.4 77.5 69.0 25.3 44.1

Ohio 44.3 76.5 71.3 24.1 41.4

Oklahoma 50.8 77.1 69.9 27.3 38.0

Oregon 39.2 82.2 72.1 23.2 39.9

Pennsylvania 41.5 78.8 63.4 20.7 37.3

 PA-Philadelphia County 41.0 76.8 60.3 19.0 39.5

 PA-Rest of State 42.1 80.8 66.0 22.5 36.2

Rhode Island 39.2 79.1 66.2 20.5 43.1

South Carolina 41.0 79.5 68.1 22.2 35.2

South Dakota 47.2 77.4 71.9 26.2 43.1

Tennessee 41.2 73.9 69.5 21.1 41.6

Texas 40.4 77.2 63.9 19.9 34.0

 TX-Bexar County 38.0 77.0 66.4 19.4 37.8

 TX-City of Houston 41.0 77.1 60.7 19.2 32.4

 TX-Rest of State 41.9 77.4 64.6 21.0 32.5

Utah 38.7 73.5 73.5 20.9 46.9

Vermont 38.4 78.0 72.3 21.6 48.7

Virginia 43.1 80.9 67.5 23.6 35.1

Washington 34.8 75.2 72.9 19.1 40.7

West Virginia 54.1 78.2 66.1 28.0 42.1

Wisconsin 43.5 81.4 66.4 23.5 41.4

Wyoming 66.4 76.8 73.3 37.4 41.2

Guam 37.0 69.2 57.6 14.7 45.1

Puerto Rico 44.5 83.2 59.7 22.1 27.8

* For the definition of the key indicators see Table 1.

† Excludes U.S. territories.