National Immunization Survey-Teen

A User’s Guide for the 2019 

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 2020
Data User’s Guide for the 2019 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, James A. 

Singleton, and Natalie Sterrett. 

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

Yarbrough. 
Data User’s Guide for the 2019 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

4.1.1. Editing in the CATI System ........................................................................................ 19

4.1.2. Post-CATI Edits .......................................................................................................... 19

4.1.3. Editing of Provider Data .............................................................................................. 20

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 Cell 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

7.2.1. Household-Reported Tetanus Vaccine Variables........................................................ 36

7.2.2. Household-Reported Meningococcal Vaccine Variables............................................ 36

7.2.3. Household-Reported Human Papillomavirus (HPV) Vaccine Variables.................... 37
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7.2.4. Household-Reported Health Variables ........................................................................ 38

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 ........................................................... 40

7.7. Section 7: Characteristics of Providers Variables..................................................................... 41

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

8.2.1. Estimating Vaccination Coverage Rates ..................................................................... 51

8.2.2. Estimating Standard Errors of Vaccination Coverage Rates....................................... 52

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

8.3.1. Estimation of Multi-Year Means................................................................................. 53

8.3.2. Estimation of Multi-Year Contrasts............................................................................. 56

9. Summary Tables.............................................................................................................................. 61

10. Assessment of Total Survey Error in the NIS-Teen ..................................................................... 62

11. Limitations........................................................................................................................................ 71

12. Citations for NIS-Teen Data ........................................................................................................... 72

13. References......................................................................................................................................... 84
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Appendices

Appendix A: Glossary of Abbreviations and Terms ................................................................................... 88

Appendix B: Summary Statistics for Sampling Weights by Estimation Area............................................ 90

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 ................................................................................................................................... 94

Appendix D: Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files......................... 127

Appendix E: Summary Tables .................................................................................................................. 227

Appendix F: Vaccine Type Codes............................................................................................................ 237

Appendix G: Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2019 .... 239

Appendix H: Key NIS-Teen Response Rates by Area.............................................................................. 247
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List of Tables and Figures 

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

Teen, 2019 ...............................................................................................................................12

Table 2: Content of the Household Interview, National Immunization Survey – Teen, 2019 .............. 15

Table 3: Vaccine Categories and Vaccine Types, National Immunization Survey - Teen, 2019 .......... 46

Table 4: Summary of Weights and Stratum Variables, National Immunization Survey - Teen, 2019.. 51

Table 5: Cross-Walk Between ESTIAPT08-ESTIAPT19 and Common Denominator Estimation Area 

(CDIAP), National Immunization Survey - Teen, 2019 .......................................................... 58

Figure 1: Scatter Plot of Difference between NIS-Teen and IISAR Vaccination Coverage Rates for One 

or More Doses of Tdap vs. IIS Adolescent Participation Rate (APR) with Regression Line: 53 

Estimation Areas, 2018 ........................................................................................................... 65

Table 6: Mean and 95% Credible Interval for the Estimated TSE Distribution and Component Error 

Distributions for National Vaccination Coverage Rate Estimates, National Immunization 

Survey - Teen, 2019 ................................................................................................................ 69

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

Immunization Survey - Teen, 2019 ......................................................................................... 90

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

Immunization Survey - Teen, 2019 ......................................................................................... 92

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

Survey - Teen, 2008-2019 ..................................................................................................... 127

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

Estimation Area, National Immunization Survey - Teen, 2019 ............................................ 227

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

National Immunization Survey - Teen, 2019 ........................................................................ 229

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

Immunization Survey - Teen, 2019 ....................................................................................... 230

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

Immunization Survey - Teen, 2019 ....................................................................................... 231

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

Immunization Survey - Teen, 2019 ....................................................................................... 232

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

Immunization Survey - Teen, 2019 ....................................................................................... 233

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, 

2019 ....................................................................................................................................... 234
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Table F.1: Vaccine Type Codes, National Immunization Survey - Teen, 2019 ..................................... 237

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

Year, National Immunization Survey - Teen, 2006-2017 ..................................................... 239

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

Survey Year, National Immunization Survey - Teen, 2006-2017 ......................................... 240

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

Year, National Immunization Survey - Teen, 2011-2019 ..................................................... 241

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

by Survey Year, National Immunization Survey - Teen, 2011-2019 .................................... 242

Table G.3: CASRO Response Rate for the Combined Landline and Cell-Phone Samples by Survey Year, 

National Immunization Survey - Teen, 2011-2017 ............................................................... 243

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

Survey Year, National Immunization Survey - Teen, 2011-2017 ......................................... 243

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

Survey Year, National Immunization Survey - Teen, 2006-2019 ......................................... 245

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, 2006-2019 ......................... 246

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

Survey - Teen, 2019 .............................................................................................................. 247

 
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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. 
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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. Subsequently, the Healthy People 2020 objectives 

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. 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/imz-managers/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 (Robinson et al.

2019). These vaccines and their recommended numbers of doses are: 

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

• Quadrivalent meningococcal vaccine (MenACWY) – 2 doses; 

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

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

 

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 2019 NIS-Teen data only for adolescents receiving HPV vaccinations 

after that time (see Walker et al., 2018).
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• 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 19–35 month-old children. The NIS-Child uses 

a random digit dialing (RDD) telephone survey to identify households containing children aged 19–35 

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

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. 

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

geographical areas. For the 2019 NIS-Teen, there are 61 geographic strata for which vaccine coverage 

levels can be estimated, including 7 local areas; the remaining 54 are either an entire state, the District of 

Columbia, a territory (the U.S. Virgin Islands, 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 61 

estimation areas with a specified degree of precision (a coefficient of variation of approximately 6.5%).
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 3 

Further, by using the same data collection methodology and survey instruments in all estimation areas, 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 2019, the 

NIS-Teen included five additional estimation areas: Dallas County, TX; El Paso County, TX; the 

U.S. Virgin Islands; Guam; and Puerto Rico. 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 analysis that is to include territories. 

Data for the U.S. Virgin Islands and Guam are not included in the 2019 public-use data file to protect 

respondent confidentiality, as the sampling fractions were large in these small-population areas. Interested 

researchers can access data for the U.S. Virgin Islands and Guam by submitting a proposal and working 

through the Research Data Center. The link and guidelines for developing a proposal are located at the 

following URL: www.cdc.gov/rdc. 

For the 2019 NIS-Teen, household interviews began on January 3, 2019 and ended on February 6, 

2020. Provider data collection extended from January 2019 through March 2020. A total sample, 

including the territory samples, of approximately 18.5 million telephone numbers yielded household 

interviews for 44,604 teens, 19,500 of whom had adequate provider data (provider-reported 

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

recommended vaccination schedule). The 2019 NIS-Teen public-use data file (which includes data 

from Puerto Rico but does not include data for the U.S. Virgin Islands and Guam) contains data for 

43,503 teens with completed household interviews, and more extensive data (e.g., provider-reported 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 4 

vaccination histories and facility data) for 19,004 teens with adequate provider data (including 135

unvaccinated teens). Data were collected in the U.S. Virgin Islands and Guam in 2019, although 

adolescents in these areas 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. See the Data User’s Guide for 

the 2014 NIS-Teen Public-Use Data File for a description of this change. NIS-Teen estimates for 2019 

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 the capability of conducting 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 2019 NIS-Teen public-use data file, and Section 8 

provides guidance for their use. 

Vaccination coverage estimates for 2019 are available on the TeenVaxView website,

https://www.cdc.gov/vaccines/imz-managers/coverage/teenvaxview/index.html. 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 5 

The accompanying codebook (NCIRD 2020) documents the contents of the 2019 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 2019 and previous public-use data files. 

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 2019 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

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

providers. This section summarizes these two phases of data collection. Other descriptions of the sample 

design 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). Cell-phone numbers were sampled 

within estimation areas in each quarter of 2019. Table E.1 (in Appendix E) lists the estimation areas for 

the 2019 NIS-Teen by state or territory and shows the estimated number of teens living in each state or 

territory and estimation area in 2019.

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

and sampling methodology as the NIS-Child. In 2019, the NIS-Teen utilized a single-frame cell-phone 

sampling design, with telephone numbers sampled only from a sampling frame of cell-phone numbers. 

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

the survey in 2011 in order to address the rapid rise of cell-phone-only households. As cell-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 0.6% in 2019 (Blumberg and Luke 2020) – the landline 

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

discussion of this change and its impact is given by Nguyen et al. (2019). 
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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%. Cell-phone sample 

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

The 2019 NIS-Teen sample design 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 to 

individuals by participating vaccination providers. In 12 of the geographic estimation areas,

2

 a twophase RDD sample of cell-phone numbers was 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

 

2 The geographic areas were Arkansas, Florida, Kansas, Louisiana, Maryland, Michigan, Missouri, New York – City 

of New York, Nevada, New Mexico, Vermont, and Washington. Not all of these areas utilized the IIS-NIS 

integration design in every quarter of 2019. Arkansas, New York – City of New York, Vermont, and Washington

used the integration design only in Quarters 2, 3, and 4; Michigan and Missouri used the integration design only in 

Quarter 4. 
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In the second-phase of sampling, phone numbers falling into Stratum 2 were oversampled. The 

method was designed to maximize the NIS-Teen effective sample size, given fixed cost of data 

collection, within each of the 12 geographic estimation areas. 

In 2019, including the U.S. territory samples, 43.7% of teens with a completed household interview 

were determined to have adequate provider data. Excluding territories, this proportion was 44.0%. 

These rates are lower than were achieved in 2018 (48%) due to the COVID-19 pandemic, which 

forced an early end to Provider Record Check data collection operations – data collection ceased on 

March 19, 2020 whereas it usually extends into April. The percentage of teens with adequate 

provider data in 2019 varies among the non-territory estimation areas (from 33.9% in the District 

of Columbia to 54.7% in Alaska). Among the U.S. territories, the percentages were 25.9% in Puerto 

Rico, 42.8% in the U.S. Virgin Islands, and 47.0% in Guam. 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. Beginning in 2014, 

the definition of adequate provider data was expanded to include all adolescents with provider-reported 

vaccination data; see the Data User’s Guide for the 2014 NIS-Teen Public-Use Data File for a description 

of this change. 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 (140 in 2019, 

including the U.S. territory samples).

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

statistical models predict the number of sample telephone numbers needed in each estimation area to meet 

the target precision requirements, and, from among the entire NIS-Child sample of telephone numbers, 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 9 

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 cell-phone numbers flagged as 

having no recent activity and that were therefore very likely to be non-working cell phones. In 2016, a 

different automated process found to be more efficient in removing non-working cell-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 cell-phone dialing in the Telephone Consumer 

Protection Act of 1991 (TCPA, 47 U.S.C. 227), the NIS transitioned from manual dialing of cell phones 

to auto-dialing cell phones in November 2016. After this transition, the automated process to remove nonworking cell-phone numbers was no longer cost effective, and beginning in 2017 this process was no 

longer used in the cell-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 2019 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 2019 for the 

NIS-Teen sample. To facilitate comparisons with prior NIS-Teen surveys, the numbers in Table 1 and 

discussed in this section exclude the U.S. territory samples. Adolescents aged 13–17 years during 2019 

data collection were born between January 2001 and January 2007. 

The total cell-phone RDD sample (in replicates that were released for use) consisted of 17,627,395 

telephone numbers. Of these, 69,080 were eliminated before release to the telephone centers as 

numbers on the NIS do-not-call list, and the remaining 17,558,315 were sent to the telephone 

centers to be dialed. A total of 1,137,116 active personal cell-phone numbers (APCNs) were 

identified as shown in Row F. Among the identified APCNs, 896,724 (78.9%) were successfully 

screened. Of these, 59,721 (6.7%) were deemed eligible for the NIS-Teen interview. Respondents

were eligible if the cell phone belonged to an adult living in a household with at least one ageeligible teen. Among the identified eligible households, 42,695 (71.5%) 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 2019, the CASRO response rate (Row J) 

was 19.7%. The NIS-Teen CASRO response rate equals the product of the resolution rate (34.9%, 

Row E), the screening completion rate (78.9%, Row G), and the interview completion rate among 

eligible households (71.5%, 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 2019 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 42,668 age-eligible teens. 

This figure is smaller than that in Row I because some completed interviews were removed when 

edits to the teen’s date of birth rendered the teen ineligible. 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 – 56.2% in 2019. 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, 30,623 (85.6%, Row N) were returned. Among the 

teens with completed household interviews, 18,788 (44.0%, Row O) had adequate vaccination 

histories based on provider reporting (18,656) or were determined to be unvaccinated (132). The 

other 56.0% 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 2019, data from the Health Insurance Module (HIM) were collected. Among the 42,668 teens with 

completed household interviews, 25,170 (59.0%, 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.
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 12 

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

Survey – Teen, 2019 

Row Key Indicator 

 

 Cell-Phone Sample Formula

Number Percent 

Household Phase

A Total Selected Telephone Numbers in Released Replicates 17,627,395 -- -- 

B Phone Numbers Resolved before Computer-Assisted Telephone Interviewing 69,080 0.4% B/A 

C Total Phone Numbers Released to Telephone Centers 17,558,315 -- A-B 

D Advance Letters Mailed 0 0.0% D/C

E Resolved Phone Numbers1 – Resolution Rate 6,159,830 34.9% E/A

F Households Identified – APCN Rate2 1,137,116 18.5% F/E

G Households Successfully Screened3 – Screener Completion Rate 896,724 78.9% G/F

H Eligible Households – Eligibility Rate4 59,721 6.7% H/G

I Households with Completed Household Interviews – Interview Completion Rate 42,695 71.5% I/H 

J CASRO5 Response Rate6 -- 19.7% E*G*I

K Age-Eligible Teens with Completed Household Interviews7 42,668 -- -- 

Provider Phase

L Teens with Consent to Contact Vaccination Providers 23,994 56.2% L/K

M Immunization History Questionnaires Mailed to Providers 35,765 -- -- 

N Immunization History Questionnaires Returned from Providers 30,623 85.6% N/M

O Teens with Adequate Provider Data

18,788 

(includes 132 

unvaccinated 

teens)

44.0% O/K

Modules

P Age-Eligible Teens with Completed Household Interview and Completed 

Health Insurance Module 25,170 59.0% P/K

1 Includes phone numbers resolved before CATI (Row B).

2 Active personal cell-phone number (APCN) rate.

3 The household screener screens for non-minor-only cell phone households with age-eligible children.

4 Of the screened households, the proportion that were non-minor-only cell-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 in the sample 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 a completed interview that were later found to be ineligible based on post-survey data 

cleaning operations.. 
Data User’s Guide for the 2019 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 2019 NIS-Teen Public-Use Data File Page 14 

3. Content of NIS-Teen Questionnaires 

This section describes the questionnaires used in the 2019 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 through 

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.

The household is first screened for the presence of children aged 19 through 35 months. If the household 

contains such a child, the NIS-Child interview is conducted before the household is screened for the NISTeen survey; if the household does not contain such a child, the household immediately proceeds to the 

NIS-Teen screener.

In 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 

through 17 years, a 13 through 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 

person is unavailable to be interviewed, the name of the most knowledgeable person is recorded, and a 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 15 

callback is scheduled for a later date. Prior to screening for age-eligibility the household is screened to 

ensure that the cell phone is used by an adult (i.e., to ensure it is not a minor-only cell phone).

Table 2: Content of the Household Interview, National Immunization Survey – Teen, 2019 

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. 

After asking whether the respondent has a shot card of the teen’s vaccination history, he/she was formerly 

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 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 2019 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; 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. 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 out the shot grid, which 

appears on page 3. Page 4 thanks the vaccination provider for providing the information, and lists 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 17 

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 2019 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 through 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 2019 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 2019 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 2019 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 2019 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 2020). 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 2020). 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
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 23 

area. Within the categories of the class variables, respondents are sorted by variables related to the 

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 2020) 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. 

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 National Center for Immunization and Respiratory Diseases 

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
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 24 

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 

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. 
Data User’s Guide for the 2019 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 2019 managed 

over 240 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 2019 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 2019, 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 2019 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 2019 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 cell-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 

responding cases are collapsed with neighboring cells, i.e., both MSA categories are collapsed if either of 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 29 

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 Cell Phones and Deriving Annual Weights

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

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

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

number of cell 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 to 17 

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

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

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

weighted to represent teens in cell-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. 

The control totals used for the 2019 NIS-Teen are derived from a combination of 2018 census population 

estimates and the combined 2016, 2017, and 2018 one-year American Community Survey (ACS) data for 

the United States and Puerto Rico, with adjustments for mortality, foreign immigration, and migration 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 30 

between states to produce population totals as of July 1, 2019. For the U.S. Virgin Islands and Guam, the 

control totals are derived from the 2010 Census data. The proportion of teens by detailed telephone status 

(landline-only, landline and cell-phone dual-user, cell-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 through 17 years in the estimation area to estimate the number of teens age 13 

through 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 

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. 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 31 

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 42,668 teens with a completed household interview (excluding territories), 18,788 

(44.0%) had adequate provider data. 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 18,788 teens with 

adequate provider data, 132 were unvaccinated teens. Failure to obtain adequate provider data for the 

remaining 56.0% was attributable to: 

• parent or guardian not giving consent to contact the teen's vaccination provider(s) (43.6%);

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

history questionnaire (7.4%); and

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

any vaccination data, despite the parent or guardian indicating that the teen has received 

vaccinations (4.9%).

The 23,880 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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 32 

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. 

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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 33 

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 2019 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 2020). 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.

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

between the 2018 and 2019 NIS-Teen public-use data files:

• A new 2019 estimation area variable (ESTIAPT19) has been added and the 2018 estimation 

area variable (ESTIAPT18) has been dropped. (See Table 5.) Note that three new 

estimation areas have been added for 2019: Dallas County, TX is identified by 

ESTIAPT19=52, El Paso County, TX is identified by ESTIAPT19=53, and Puerto Rico is 

identified by ESTIAPT19=106. Although data were collected for the U.S. Virgin Islands and 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 35 

Guam in 2019, teens in these areas are not included on the public-use data file in order to 

protect confidentiality. 

• Due to an error in reporting vaccination histories by one large vaccination provider 

covering approximately 140 adolescents in 2018, the NIS-Teen provider-reported 

vaccination data for certain vaccines was determined to be incomplete for that year. To 

avoid publishing incomplete data, all variables derived from provider-reported data for the 

affected vaccines (Hep A, Hep B, Varicella, Measles, Pneumoccocal, and Influenza) were 

dropped from the 2018 NIS-Teen public-use data file. Because this vaccination provider 

resumed reporting vaccinations for these vaccines for 2019, these variables have been 

restored for the 2019 NIS-Teen public-use data file (see Appendix D for a complete list of 

such variables). 

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 2019 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. 

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_26 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 that 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 

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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 37 

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_25 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_31 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.
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 38 

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 

interview. To protect confidentiality, many of these variables have been collapsed, top-coded, or bottom-
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 39 

coded from the original, fully-detailed versions; the variable labels (see the public-use date file codebook) 

indicate which variables have been collapsed or recoded. 

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 cell phones 

household members have available for personal use, and the number of these cell phones that are usually 

used by parents or guardians are given by NUM_PHONE, NUM_CELLS_HH, and 

NUM_CELLS_PARENTS, respectively.
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 40 

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 ESTIAPT19 and STATE give the 2019 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.

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. 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 41 

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 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 that 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). 

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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 42 

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 2019 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 2019 NIS-Teen public-use data file. 

For each vaccine category, 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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 44 

vaccinations in that vaccine category in the teen's synthesized 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. 

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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 45 

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.
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 46 

Table 3: Vaccine Categories and Vaccine Types, National Immunization Survey - Teen, 2019 

Vaccine 

Category 

Abbreviation

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

PPS Pneumococcal Polysaccharide - - 

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
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 47 

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.

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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 48 

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?”

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 recoding 

of verbatim 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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 49 

(1) Private only. If the teen is on any form of Medcaid, alone or in addition to other forms of insurance, 

he/she is classified as (2) Any Medicaid. If the teen is not covered 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 who live in the non-territory 

United States.
Data User’s Guide for the 2019 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 (ESTIAPT19 and STATE) as well as a stratum identifier, STRATUM. The sample 

is stratified by the 61 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 the ratio of the standard error 

to the estimate should be less than or equal to 0.3, and each analytic cell should contain at least 30 

respondents. 

8.1. Use of NIS Sampling Weights

The 2019 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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 51 

coverage using variables from Sections 7, 8, and 9 of the public-use data file (see Section 7 of this user's 

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,

2019 

Weight Variable Population* Sample Frame Strata Stratum 

Variable 

RDDWT_C United States excluding 

territories

Single Frame 

Cell-Phone 

Estimation 

Area STRATUM

RDDWT_C_TERR United States including 

territories

Single Frame 

Cell-Phone 

Estimation 

Area STRATUM

PROVWT_C 

United States excluding 

territories, teens with 

adequate provider data

Single Frame 

Cell-Phone 

Estimation 

Area STRATUM

PROVWT_C_TERR

United States including 

territories, teens with 

adequate provider data

Single Frame 

Cell-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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 52 

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 

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

 . 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 53 

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 

(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 2019 NIS-Teen public-use data file, twelve 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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 54 

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. 

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 2018-2019; 

and provider-phase weights PROVWT in 2008-2011, PROVWT_D in 2012-2017, and PROVWT_C in 

2018-2019) should be divided by the number of years being combined. For example, if data for 2017, 

2018, and 2019 for teens with adequate provider data are to be combined, then the weights in the three

files – PROVWT_D in 2017 and PROVWT_C in 2018 and 2019 – should be divided by 3 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 to 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., 2019).

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 2011-2019 are defined by the 

variables STRATUM_D (for 2011) and STRATUM (for 2012-2019), with STRATUM_D and 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 55 

STRATUM being a combination of the estimation area variable for that year and the sampling frame 

(landline or cell-phone). The estimation area variables ESTIAPT11, ESTIAPT12, ESTIAPT13, 

ESTIAPT14, ESTIAPT15, ESTIAPT16, ESTIAPT17, ESTIAPT18, and ESTIAPT19 define mutually 

exclusive and exhaustive geographic areas. However, they are not exactly the same areas. For example, 

Dallas County, TX, was a separate estimation area in 2011, 2016, and 2019 but not in 2012-2015 

and 2018. Tarrant County, TX, was a separate estimation area in 2018, but not in 2011-2017 and 

2019. 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 2012-2019 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.
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 56 

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. 

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 2018 and in 2019. 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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 57 

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 

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 2018-2019 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 2018 to the 2019 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 2019 NIS-Teen Public-Use Data File Page 58 

Table 5: Cross-Walk Between ESTIAPT08-ESTIAPT19 and Common Denominator Estimation Area (CDIAP), National 

Immunization Survey - Teen, 2019 

CDIAP Area Name ESTIAPT08 

(2008)

ESTIAPT09 

(2009)

ESTIAPT10 

(2010)

ESTIAPT11 

(2011)

ESTIAPT12 

(2012)

ESTIAPT13 

(2013)

ESTIAPT14 

(2014)

ESTIAPT15 

(2015)

ESTIAPT16 

(2016)

ESTIAPT17 

(2017)

ESTIAPT18 

(2018)

ESTIAPT19 

(2019)

20 Alabama 20 20 20 20 20 20 20 20 20 20 20 20

74 Alaska 74 74 74 74 74 74 74 74 74 74 74 74

66 Arizona 66 66 66 66 66 66 66 66 66 66 66 66

46 Arkansas 46 46 46 46 46 46 46 46 46 46 46 46

California

68 CA-Los Angeles County 68 69 68 68 68 68 68 68 68 68 68 68

68 CA-Rest of State 68 68 68 68 68 68 68 68 68 68 68 68

60 Colorado 60 60 60 60 60 60 60 60 60 60 60 60

1 Connecticut 1 1 1 1 1 1 1 1 1 1 1 1 

13 Delaware 13 13 13 13 13 13 13 13 13 13 13 13

12 District of Columbia 12 12 12 12 12 12 12 12 12 12 12 12

22 Florida 22 22 22 22 22 22 22 22 22 22 22 22

25 Georgia 25 25 25 25 25 25 25 25 25 25 25 25

72 Hawaii 72 72 72 72 72 72 72 72 72 72 72 72

75 Idaho 75 75 75 75 75 75 75 75 75 75 75 75

Illinois

35 IL-City of Chicago 35 35 35 35 35 35 35 35 35 35 35 35

34 IL-Rest of State 34 34 34 34 34 34 34 34 34 34 34 34

Indiana

36 IN-Lake County 36 96 36 36 36 36 36 36 36 36 36 36

36 IN-Marion County 36 37 36 36 36 36 36 36 36 36 36 36

36 IN-Rest of State 36 36 36 36 36 36 36 36 36 36 36 36

56 Iowa 56 56 56 56 56 56 56 56 56 56 56 56

57 Kansas 57 57 57 57 57 57 57 57 57 57 57 57

27 Kentucky 27 27 27 27 27 27 27 27 27 27 27 27

47 Louisiana 47 47 47 47 47 47 47 47 47 47 47 47

4 Maine 4 4 4 4 4 4 4 4 4 4 4 4 

14 Maryland 14 14 14 14 14 14 14 14 14 14 14 14

2 Massachusetts 2 2 2 2 2 2 2 2 2 2 2 2 
Data User’s Guide for the 2019 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)

ESTIAPT16 

(2016)

ESTIAPT17 

(2017)

ESTIAPT18 

(2018)

ESTIAPT19 

(2019)

38 Michigan 38 38 38 38 38 38 38 38 38 38 38 38

40 Minnesota 40 40 40 40 40 40 40 40 40 40 40 40

28 Mississippi 28 28 28 28 28 28 28 28 28 28 28 28

58 Missouri 58 58 58 58 58 58 58 58 58 58 58 58

61 Montana 61 61 61 61 61 61 61 61 61 61 61 61

59 Nebraska 59 59 59 59 59 59 59 59 59 59 59 59

73 Nevada 73 73 73 73 73 73 73 73 73 73 73 73

5 New Hampshire 5 5 5 5 5 5 5 5 5 5 5 5 

8 New Jersey 8 8 8 8 8 8 8 8 8 8 8 8 

49 New Mexico 49 49 49 49 49 49 49 49 49 49 49 49

New York

11 NY-City of New York 11 11 11 11 11 11 11 11 11 11 11 11

10 NY-Rest of State 10 10 10 10 10 10 10 10 10 10 10 10

29 North Carolina 29 29 29 29 29 29 29 29 29 29 29 29

62 North Dakota 62 62 62 62 62 62 62 62 62 62 62 62

41 Ohio 41 41 41 41 41 41 41 41 41 41 41 41

50 Oklahoma 50 50 50 50 50 50 50 50 50 50 50 50

76 Oregon 76 76 76 76 76 76 76 76 76 76 76 76

Pennsylvania

17 PA-Philadelphia County 17 17 17 17 17 17 17 17 17 17 17 17

16 PA-Rest of State 16 16 16 16 16 16 16 16 16 16 16 16

6 Rhode Island 6 6 6 6 6 6 6 6 6 6 6 6 

30 South Carolina 30 30 30 30 30 30 30 30 30 30 30 30

63 South Dakota 63 63 63 63 63 63 63 63 63 63 63 63

31 Tennessee 31 31 31 31 31 31 31 31 31 31 31 31

Texas

55 TX-Bexar County 55 55 55 55 55 55 55 55 55 55 55 55

54 TX-City of Houston 54 54 54 54 54 54 54 54 54 54 54 54

51 TX-Dallas County 51 52 52 52 51 51 51 51 52 52 51 52

51 TX-El Paso County 51 53 53 53 51 51 53 53 53 53 51 53

51 TX-Hidalgo County 51 51 51 51 51 51 51 107 51 51 107 51

51 TX-Travis County 51 51 51 51 51 51 51 51 51 108 51 51
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 60 

CDIAP Area Name ESTIAPT08 

(2008)

ESTIAPT09 

(2009)

ESTIAPT10 

(2010)

ESTIAPT11 

(2011)

ESTIAPT12 

(2012)

ESTIAPT13 

(2013)

ESTIAPT14 

(2014)

ESTIAPT15 

(2015)

ESTIAPT16 

(2016)

ESTIAPT17 

(2017)

ESTIAPT18 

(2018)

ESTIAPT19 

(2019)

51 TX-Tarrant County 51 51 51 51 51 51 51 51 51 51 109 51

51 TX-Rest of State 51 51 51 51 51 51 51 51 51 51 51 51

64 Utah 64 64 64 64 64 64 64 64 64 64 64 64

7 Vermont 7 7 7 7 7 7 7 7 7 7 7 7 

18 Virginia 18 18 18 18 18 18 18 18 18 18 18 18

77 Washington 77 77 77 77 77 77 77 77 77 77 77 77

19 West Virginia 19 19 19 19 19 19 19 19 19 19 19 19

44 Wisconsin 44 44 44 44 44 44 44 44 44 44 44 44

65 Wyoming 65 65 65 65 65 65 65 65 65 65 65 65

- Puerto Rico - - - - - - 106 106 106 - - 106
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 61 

9. Summary Tables

Appendix E contains seven tables. Appendix Table E.1 lists the 61 estimation areas for the 2019 NISTeen by state. At the national level and for each state and estimation area, it provides the estimated 

population total of teens 13 to 17 years of age in 2019 and (from 2019 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 2019 NIS-Teen public-use data file. 

Appendix F shows the vaccine type codes used in the 2019 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 cell-phone sample response 

rates and the cell-phone sample CASRO response rates. Table G.3 and Figure G.3 show the CASRO 

response rates for the combined landline and cell-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 2019 NIS-Teen.
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 62 

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 cell 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 cell-phone RDD design and then to a single-frame cell-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 

NIS-Child and NIS-Teen data (see the Data User’s Guides for the 2018 NIS-Child and NIS-Teen public 

use data files). 

An assessment based on 2019 NIS-Teen data was conducted in 2020, with results summarized in 

this report.

Comparison of Demographic Distributions. Demographic distributions (age, sex, race/ethnicity, 

mother’s education, mother’s age) among adolescents with adequate provider data were compared 

to benchmark values for adolescents age 13-17 derived from the U.S. Census Bureau’s Population 

Estimates Program (PEP) and American Community Survey (ACS) data. When using design 

weights that have not been calibrated to external population totals, demographic distributions as 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 63 

estimated by the survey are generally close to the benchmark distributions. Before calibration, the 

NIS-Teen somewhat over-represented non-Hispanic White-only adolescents, under-represented 

non-Hispanic Black-only adolescents, and over-represented adolescents whose mothers are college 

graduates. When using final weights that have been calibrated to external population totals, the 

demographic differences between survey estimates and population values narrowed, but the 2019 

NIS-Teen still over-represented adolescents whose mothers are college graduates (43.1% in survey, 

33.2% in population) and under-represented adolescents whose mothers have some college but not 

a four-year degree (23.6% in survey, 32.6% in population). 

Comparison to IISAR Vaccination Coverage Rates. Next, NIS-Teen vaccination coverage rate 

estimates were compared to vaccination coverage rates set forth in the Immunization Information 

Systems Annual Report (IISAR). Sponsored and conducted by NCIRD, the IISAR is an annual 

assessment of immunization information systems (IIS)3 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 selfadministered, 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 and 

asdolescent saturation levels in the IIS, vaccination coverage rates reported in IISAR by sentinel 

 

3 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. It is known that different state IIS vary in their completeness of 

both children included and the doses they received.
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 64 

sites are thought to be relatively more accurate than vaccination rates reported by non-sentinel 

sites.

NIS-Teen vaccination coverage rate estimates were found to be generally higher than IISAR 

vaccination coverage rates. For four sentinel sites, reasonably good agreement was observed 

between NIS-Teen and IISAR rates, with the absolute difference between the NIS-Child and IISAR 

vaccination coverage rate in 2018 ranging between 0 and 8 percentage points for ≥1 Tdap for 

Minnesota, North Carolina, Wisconsin, and Michigan. For the remaining two sites, New York City 

and Oregon, the absolute differences were larger, primarily because these sites reported 

vaccination coverage rates over 100%.4 Further, it was established that the adolescent participation 

rate – the proportion of adolescents in the IIS jurisdiction with two or more vaccine doses in the IIS 

database – is 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 increases. 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.

 

4 The denominator of the vaccination coverage rate is the size of the age-eligible population of adolescents. For 

purposes of the IISAR, New York City and Oregon chose denominators that resulted in vaccination rates over 

100%. Adjusting for this problem in these sites leaves differences between IISAR and NIS-Teen vaccination 

coverage rates of less than 10 percentage points.
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 65 

Figure 1: Scatter Plot of Difference between NIS-Teen and IISAR Vaccination Coverage Rates 

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

Regression Line: 53 Estimation Areas, 2018 

Comparison of Health Insurance Distributions. NIS-Teen health insurance distributions were 

compared to similar distributions produced by the Current Population Survey (CPS), the National 

Health Interview Survey (NHIS), and the American Community Survey (ACS). All of these surveys 

use somewhat different definitions of insurance status and report for different age ranges of 

adolescents. Nevertheless, we found the NIS-Teen 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 (42.0% in 2018, 40.3% in 2019) were higher than the corresponding 

benchmark estimates (36.6% (NHIS), 35.5% (CPS), and 36.8% (ACS) in 2018; 34.3% (CPS) in 

2019), and the NIS-Teen estimates of uninsured adolescents (4.5% in 2018, 4.0% in 2019) were 

lower than the estimates from the benchmark surveys (6.9% (NHIS), 6.0% (CPS), and 5.7% (ACS) 

in 2018; 7.7% (CPS) in 2019).
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 66 

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, n.d.) 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 UTD for HPV 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 in the Kansas BRFSS. 

Next, an assessment of all sources of error in the 2019 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 2018 NIS-Teen

and 2019 NIS-Teen was also estimated.

Coverage Error. The NIS-Teen cell-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 landlineonly population tended to be less than the vaccination coverage rates in the population covered by 

the cell-phone 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 0.6 percentage 

points or less for Tdap, MenACWY, and HPV. 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 67 

Nonresponse Error. Nonresponse error in the 2019 NIS-Teen was assessed through comparison of 

the 2019 NIS-Teen to the cell-phone domain within the 2018 NHIS. (The assessment was made 

using 2018 NHIS because the 2019 NHIS data were not available at the time of the analysis.) 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 2019 NIS-Teen, including household nonresponse, non-consent to 

contact vaccination providers, and provider nonresponse, mean nonresponse error in vaccination 

rates was estimated to be quite small (-0.9 to 1.5 percentage points when using design weights for 

NIS-Teen, -0.9 to 2.0 percentage when using final weights that account for the survey’s nonresponse 

adjustments) and not statistically significant.

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. Underreporting 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 16 jurisdictions was 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 

synthesis of the NIS-Teen and IIS vaccination histories. In prior studies conducted in 2012 and 2013 

using similar methods, measurement error was found to be the largest component of error in the 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 68 

NIS-Teen vaccination coverage rate estimates for most vaccines. Similar conclusions were reached 

for the 2019 NIS-Teen, where it was estimated that measurement error depressed 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 -5.3 percentage points with a 95% credible interval of (-7.1, -2.6) 

percentage points. That is, the NIS-Teen ≥1 Tdap vaccination coverage rate was on average about 

5.3 percentage points too low. For the ≥1 MenACWY vaccination coverage rate, the mean of the 

TSE distribution was found to be -2.0 percentage points with a 95% credible interval of (-4.4, 1.0) 

percentage points. For HPV5

, the mean of the TSE distribution was found to be –2.7 (-6.3, 0.9) 

percentage points overall, -1.5 (-6.6, 3.7) percentage points for females, and -3.7 (-8.5, 1.2) 

percentage points for males. The credible intervals for MenACWY and HPV actually all contain 

zero, which signifies that the statistical evidence is not inconsistent with the hypothesis that mean 

total error is near zero. Nevertheless, according to best estimates, under-ascertainment of the 

provider-reported vaccination history is the largest source of error for all vaccines. 

 

5 ≥3 doses, or ≥2 doses if 1st dose before age 15 and at least 5 months – 4 days between 1st and 2nd doses.
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 69 

Table 6: Mean and 95% Credible Interval for the Estimated TSE Distribution and 

Component Error Distributions for National Vaccination Coverage Rate 

Estimates, National Immunization Survey - Teen, 2019 

Vaccine or 

Series Component

Mean TSE

(percentage

points)

95% Credible Interval

(percentage points)

1+ Tdap

TSE (final weighted) -5.3 (-7.1, -2.6)**

TSE (design weighted) -5.6 (-7.5, -2.9)**

Noncoverage error 0.2 (-0.2, 1.4)

Nonresponse error -0.9 (-3.4, 2.2)

Measurement error -5.0 (-6.4, -3.2)**

Sampling error 0.1 (-1.6, 2.0)

1+ MenACWY

TSE (final weighted) -2.0 (-4.4, 1.0)

TSE (design weighted) -2.5 (-4.9, 0.5)

Noncoverage error 0.1 (-0.3, 1.0)

Nonresponse error 1.5 (-1.3, 4.8)

Measurement error -4.2 (-5.6, -2.5)**

Sampling error 0.1 (-1.6, 1.9)

UTD for HPV*

TSE (final weighted) -2.7 (-6.3, 0.9)

TSE (design weighted) -2.7 (-6.2, 1.0)

Noncoverage error 0.5 (-0.2, 1.2)

Nonresponse error -0.9 (-4.9, 3.3)

Measurement error -2.2 (-4.1, -0.4)**

Sampling error 0.0 (-1.8, 1.9)

UTD for HPV*

among females

TSE (final weighted) -1.5 (-6.6, 3.7)

TSE (design weighted) -2.3 (-7.3, 3.0)

Noncoverage error 0.2 (-0.5, 1.0)

Nonresponse error -0.9 (-6.6, 4.9)

Measurement error -1.6 (-3.8, 0.7)

Sampling error 0.0 (-2.3, 2.4)

UTD for HPV*

among males

TSE (final weighted) -3.7 (-8.5, 1.2)

TSE (design weighted) -2.8 (-7.6, 2.1)

Noncoverage error 0.6 (-0.2, 1.4)

Nonresponse error -0.5 (-6.3, 5.1)

Measurement error -2.8 (-5.7, 0.0)

Sampling error 0.0 (-2.8, 2.9)

* ≥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 excludes zero.
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 70 

Change in Total Survey Error. Change in TSE between the 2018 and 2019 NIS-Teen was measured 

using the bridging cohort method pioneered 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 common birth cohorts are the bridging cohort, and for 2018 and 2019, the bridging 

cohort extends from adolescents born in January 2001 through adolescents born in December 2005. 

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 2018 NIS-Teen sample and the second using the corresponding sample 

of adolescents within the 2019 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 HPV by age 13 years, the 

differences between the 2018 and 2019 national-level vaccination coverage rate estimates for the 

bridging cohort were all small, and no differences were found to be statistically significant at the 

0.05 level. The difference between the 2019 estimate and the 2018 estimate for the bridging cohort 

was 0.8 percentage points for ≥1 Tdap, -0.6 percentage points for ≥1 MenACWY, -0.7 percentage 

points for HPV overall, 0.3 percentage points for HPV among females, and -1.5 percentage points 

for HPV among males. Overall, the results suggest there is little statistical evidence of a change in 

total survey error between 2018 and 2019. 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 71 

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 through 17 years. Although 

statistical adjustments were made to account for non-response and households without cell 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 2018-2019 are subject to potential 

bias that may remain after weighting adjustments because of the switch from landline to dual landline and 

cell-phone frames in 2011, and from dual landline and cell-phone frames to a single cell-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 cell-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 2019 NIS-Teen Public-Use Data File Page 72 

12. Citations for NIS-Teen Data 

In publications please acknowledge the original data source. The citation for the 2019 NIS-Teen publicuse data file is:

U.S. Department of Health and Human Services (DHHS). National Center for Immunization and 

Respiratory Diseases. The 2019 National Immunization Survey - Teen, Atlanta, GA: Centers for Disease 

Control and Prevention, 2020. 

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:

2020 

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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 73 

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 

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 

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 

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 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 74 

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, 

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]. 
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 75 

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, T.Y., Elam-Evans, L.D., Singleton, J.A., Yankey, D., Markowitz, L.E., 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. 

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.
Data User’s Guide for the 2019 NIS-Teen Public-Use Data File Page 76 

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 

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Glossary of Abbreviations and Terms APPENDIX A 

88

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 Cell-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
Glossary of Abbreviations and Terms APPENDIX A 

89

MenACWY Quadrivalent meningococcal conjugate vaccine

MenB Serogroup B meningococcal vaccine 

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

PPSV23 Pneumococcal polysaccharide vaccine

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 

90

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, 2019 

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

U.S. National† 42,668 20,800,341.50 1.67 17,412.20 487.49 174.28

Alabama 730 311,071.91 26.18 1,249.98 426.13 68.58

Alaska 779 48,328.35 12.31 201.26 62.04 66.12

Arizona 726 472,322.49 8.24 2,143.76 650.58 74.49

Arkansas 682 197,978.12 25.64 868.41 290.29 66.48

California 686 2,517,263.47 3.10 17,412.20 3,669.48 108.33

Colorado 656 363,000.24 2.84 1,909.74 553.35 81.42

Connecticut 656 223,657.76 4.54 1,077.80 340.94 75.77

Delaware 635 57,823.72 18.09 267.03 91.06 62.31

District of Columbia 833 25,187.64 1.67 109.51 30.24 98.61

Florida 845 1,210,865.26 1.85 5,789.65 1,432.98 114.28

Georgia 741 724,262.86 5.89 3,511.92 977.41 76.96

Hawaii 681 78,849.03 8.60 397.57 115.78 72.85

Idaho 682 130,430.23 3.45 631.68 191.25 86.17

Illinois 1,434 817,412.12 3.96 1,974.00 570.02 76.27

 IL-City of Chicago 403 140,762.64 3.96 1,044.29 349.29 82.48

 IL-Rest of State 1,031 676,649.48 11.47 1,974.00 656.30 68.83

Indiana 641 446,923.63 5.10 1,952.91 697.23 60.36

Iowa 568 205,385.92 18.33 1,068.55 361.59 61.86

Kansas 706 197,405.91 13.37 975.87 279.61 86.19

Kentucky 620 283,756.73 45.02 1,391.35 457.67 62.71

Louisiana 828 299,770.43 13.51 1,419.63 362.04 95.58

Maine 668 74,277.84 17.28 370.39 111.19 77.37

Maryland 1,228 377,552.46 22.36 1,274.84 307.45 109.97

Massachusetts 627 400,019.19 2.57 2,516.79 637.99 90.02

Michigan 698 631,757.97 18.69 2,926.45 905.10 67.12

Minnesota 632 366,125.32 6.87 2,117.29 579.31 85.44

Mississippi 647 201,033.70 8.78 1,037.28 310.72 70.00

Missouri 709 391,683.56 16.39 1,991.93 552.45 79.01

Montana 594 64,676.25 9.00 326.45 108.88 65.93

Nebraska 604 132,698.69 8.11 663.69 219.70 65.19

Nevada 783 193,574.06 11.93 913.10 247.22 85.09

New Hampshire 700 78,697.76 10.93 412.95 112.43 81.77

New Jersey 885 563,650.72 10.15 2,261.13 636.89 80.80

New Mexico 933 138,266.18 11.02 492.96 148.20 77.79

New York 1,244 1,125,173.48 3.19 4,163.42 904.48 81.84

 NY-City of New York 659 440,464.99 4.25 2,041.82 668.38 68.21

 NY-Rest of State 585 684,708.50 3.19 4,163.42 1,170.44 76.34

North Carolina 718 661,755.77 6.89 3,155.05 921.67 73.76

North Dakota 627 45,807.46 13.14 213.57 73.06 63.71

Ohio 673 739,821.30 23.56 3,306.34 1,099.29 65.34

Oklahoma 794 266,384.10 29.30 1,010.66 335.50 66.93

Oregon 564 245,918.18 8.88 1,344.00 436.03 70.87
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

91

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

Pennsylvania 1,752 761,271.31 14.63 2,281.23 434.52 122.52

 PA-Philadelphia County 658 88,170.59 18.70 416.76 134.00 67.59

 PA-Rest of State 1,094 673,100.73 14.63 2,281.23 615.27 97.79

Rhode Island 634 59,998.83 5.84 334.39 94.64 77.93

South Carolina 749 314,226.96 7.98 1,315.58 419.53 76.24

South Dakota 631 58,688.88 17.41 268.95 93.01 64.33

Tennessee 589 425,944.01 6.08 2,139.87 723.16 66.92

Texas 4,697 2,078,929.57 3.49 2,416.69 442.61 112.80

 TX-Bexar County 676 142,594.98 24.64 661.94 210.94 62.61

 TX-City of Houston 432 130,453.49 3.49 1,171.29 301.98 75.38

 TX-Dallas County 775 204,977.85 24.30 894.72 264.49 73.46

 TX-El Paso County 587 78,340.30 9.81 399.16 133.46 59.85

 TX-Rest of State 2,227 1,522,562.96 14.90 2,416.69 683.68 90.30

Utah 629 263,297.62 3.73 1,395.48 418.60 75.36

Vermont 941 34,277.16 4.69 111.98 36.43 69.82

Virginia 895 525,740.96 22.78 2,872.06 587.42 127.33

Washington 658 456,290.21 8.95 2,554.99 693.45 96.10

West Virginia 714 104,641.82 32.17 437.58 146.56 59.50

Wisconsin 700 369,371.74 7.40 1,616.20 527.67 64.92

Wyoming 622 37,092.58 13.41 178.74 59.63 62.04

Puerto Rico 835 186,750.19 3.16 806.33 223.65 97.97

U.S. Virgin Islands 509 6,860.00 1.41 50.54 13.48 87.52

Guam 592 13,990.00 3.49 76.65 23.63 72.90

*Distribution of RDDWT_C_TERR. 

† Excludes U.S. territories. 
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

92

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

Immunization Survey - Teen, 2019 

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

U.S. National† 18,788 20,800,341.50 3.33 40,363.42 1,107.11 189.78

Alabama 296 311,071.91 67.61 3,377.15 1,050.92 72.78

Alaska 426 48,328.35 16.34 349.95 113.45 65.47

Arizona 308 472,322.49 17.19 5,296.05 1,533.51 79.48

Arkansas 329 197,978.12 95.65 1,886.15 601.76 72.29

California 274 2,517,263.47 20.09 40,363.42 9,187.09 114.85

Colorado 262 363,000.24 4.45 4,852.64 1,385.50 88.77

Connecticut 294 223,657.76 13.65 2,467.58 760.74 81.80

Delaware 308 57,823.72 41.19 614.08 187.74 68.22

District of Columbia 282 25,187.64 3.33 403.57 89.32 117.31

Florida 329 1,210,865.26 19.44 18,114.01 3,680.44 122.67

Georgia 315 724,262.86 14.62 8,354.86 2,299.25 79.62

Hawaii 304 78,849.03 36.66 773.85 259.37 72.42

Idaho 332 130,430.23 11.81 1,465.88 392.86 86.18

Illinois 602 817,412.12 33.23 4,981.58 1,357.83 76.48

 IL-City of Chicago 160 140,762.64 49.20 3,203.03 879.77 87.93

 IL-Rest of State 442 676,649.48 33.23 4,981.58 1,530.88 69.78

Indiana 289 446,923.63 9.37 4,762.40 1,546.45 64.72

Iowa 302 205,385.92 36.27 1,892.42 680.09 57.56

Kansas 381 197,405.91 43.63 1,830.91 518.13 84.82

Kentucky 292 283,756.73 113.86 3,008.09 971.77 61.12

Louisiana 336 299,770.43 28.80 3,738.08 892.17 107.04

Maine 316 74,277.84 36.23 772.70 235.06 74.07

Maryland 524 377,552.46 30.15 3,199.05 720.52 115.67

Massachusetts 300 400,019.19 23.87 4,780.80 1,333.40 96.32

Michigan 297 631,757.97 29.26 6,696.31 2,127.13 74.95

Minnesota 276 366,125.32 13.09 4,658.93 1,326.54 90.64

Mississippi 270 201,033.70 92.04 2,500.95 744.57 79.20

Missouri 288 391,683.56 36.57 4,952.39 1,360.01 84.93

Montana 297 64,676.25 37.22 640.22 217.77 67.26

Nebraska 285 132,698.69 17.01 1,560.32 465.61 74.72

Nevada 313 193,574.06 29.24 2,128.93 618.45 82.78

New Hampshire 333 78,697.76 22.73 810.31 236.33 83.28

New Jersey 331 563,650.72 24.10 5,885.50 1,702.87 81.56

New Mexico 405 138,266.18 21.26 1,141.98 341.40 78.69

New York 498 1,125,173.48 10.78 9,778.02 2,259.38 85.45

 NY-City of New York 257 440,464.99 23.47 5,864.58 1,713.87 71.02

 NY-Rest of State 241 684,708.50 10.78 9,778.02 2,841.11 82.40

North Carolina 305 661,755.77 42.99 7,326.23 2,169.69 75.14

North Dakota 319 45,807.46 28.23 447.80 143.60 73.15

Ohio 302 739,821.30 61.19 7,111.52 2,449.74 69.48

Oklahoma 369 266,384.10 64.39 2,296.82 721.91 72.52

Oregon 270 245,918.18 17.72 2,790.60 910.81 73.41

Pennsylvania 734 761,271.31 35.03 5,056.67 1,037.15 117.38

 PA-Philadelphia County 242 88,170.59 35.03 1,209.85 364.34 77.65

 PA-Rest of State 492 673,100.73 93.02 5,056.67 1,368.09 99.17

Rhode Island 319 59,998.83 25.39 633.91 188.08 74.28

South Carolina 319 314,226.96 41.85 3,570.25 985.04 80.33
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

93

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

South Dakota 313 58,688.88 32.79 597.49 187.50 64.94

Tennessee 261 425,944.01 6.08 4,914.91 1,631.97 67.15

Texas 1,850 2,078,929.57 13.47 6,991.12 1,123.75 121.35

 TX-Bexar County 293 142,594.98 68.49 1,598.07 486.67 69.28

 TX-City of Houston 174 130,453.49 86.86 2,649.47 749.73 83.87

 TX-Dallas County 271 204,977.85 65.36 2,405.93 756.38 72.76

 TX-El Paso County 280 78,340.30 13.47 841.76 279.79 65.12

 TX-Rest of State 832 1,522,562.96 61.78 6,991.12 1,830.00 93.85

Utah 325 263,297.62 4.76 2,995.01 810.15 89.67

Vermont 472 34,277.16 6.74 224.22 72.62 74.99

Virginia 363 525,740.96 72.58 6,699.66 1,448.32 124.94

Washington 304 456,290.21 13.67 6,060.93 1,500.95 99.58

West Virginia 309 104,641.82 67.98 1,034.50 338.65 63.35

Wisconsin 331 369,371.74 54.26 3,351.18 1,115.93 61.44

Wyoming 329 37,092.58 24.68 334.49 112.74 66.55

Puerto Rico 216 186,750.19 11.99 3,680.36 864.58 118.93

U.S. Virgin Islands 218 6,860.00 3.88 116.69 31.47 86.15

Guam 278 13,990.00 6.62 162.15 50.32 70.36

* Distribution of PROVWT_C_TERR. 

† Excludes U.S. territories. 
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 

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 Cross-Tabulation and Chart

I. SUDAAN (RTI, 2009) Page 94 

II. SAS (SAS, 2008) Page 107 

III. ‘R’ (Lumley, 2009) Page 119 

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:\nisteenpuf19'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf19'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

%let in_file=dd.nisteenpuf19; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt19; * --- ESTIMATION AREA VARIABLE TO USE ---*;

%let wt=provwt_c; * --- WEIGHT TO USE (PROVWT_C is the single-frame cell-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; 

/*
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 

95

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"

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"
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96

52 = "TX-Dallas County"

53 = "TX-El Paso County"

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 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;
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97

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.

*************************************************************************;

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf19'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf19'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

%let in_file=dd.nisteenpuf19; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt19; * --- ESTIMATION AREA VARIABLE TO USE ---*;

%let wt=provwt_c; * --- WEIGHT TO USE (PROVWT_C is the single-frame cell-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'
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and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

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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 '

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 '
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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"; 

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"; 
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100

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:\nisteenpuf19'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf19'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

%let in_file=dd.nisteenpuf19; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt19; * --- ESTIMATION VARIABLE TO USE ---*;

%let wt=rddwt_c; * --- WEIGHT TO USE (RDDWT_C is the single-frame cell-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

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 '
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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 '

72 ='Puerto Rico '

; 

run; 
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and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

102

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'; 

************************************************************************* 

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
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

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103

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:\nisteenpuf19'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf19'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- SPECIFY THE PATH FOR WHERE YOU WANT THE CHART OUTPUT TO GO ---*;

libname out 'c:\nisteenpuf19'; 

%let in_file=dd.nisteenpuf19; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt19; * --- ESTIMATION VARIABLE TO USE ---*;

%let wt=provwt_c; * --- WEIGHT TO USE (PROVWT_C is the single-frame cell-phone weight 

excluding territories. Use PROVWT_C_TERR to include territories) ---*;

%let qtr_lab=Q1/2019 - Q4/2019; *--- 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"

4 = "UNKNOWN"

; 

run; 
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and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

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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; 
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**********************;

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:\nisteenpuf19'; *--- SPECIFY PATH TO SAS DATASET ---*;

%let out='c:\nisteenpuf19'; *--- 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=Q1/2019 - Q4/2019; *--- 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

; 
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106

ods html body='graph_4_sud.html' path=odsout; 

run; 

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, 2019"; 

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 

107 

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:\nisteenpuf19'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf19'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

%let in_file=dd.nisteenpuf19; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt19; * --- ESTIMATION AREA VARIABLE TO USE ---*;

%let wt=provwt_c; * --- WEIGHT TO USE (PROVWT_C is the single-frame cell-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"
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and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

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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"

52 = "TX-Dallas County"

53 = "TX-El Paso County"

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.; 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

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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.; 

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:\nisteenpuf19'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf19'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

%let in_file=dd.nisteenpuf19; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt19; * --- ESTIMATION AREA VARIABLE TO USE ---*;
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%let wt=provwt_c; * --- WEIGHT TO USE (PROVWT_C is the single-frame cell-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

. ="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 '
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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 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;
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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:\nisteenpuf19'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf19'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

%let in_file=dd.nisteenpuf19; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt19; * --- ESTIMATION VARIABLE TO USE ---*;

%let wt=rddwt_c; * --- WEIGHT TO USE (RDDWT_C is the single-frame cell-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 '
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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 '

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; 
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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;

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:\nisteenpuf19'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf19'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

*--- PERMANENTLY SPECIFY PATH TO LIBRARY ---*;

*--- OTHERWISE COMMENT THIS STATEMENT OUT ---*;

libname out 'c:\nisteenpuf19'; *--- SPECIFY THE PATH FOR WHERE YOU WANT THE CHART 

OUTPUT TO GO ---*;

%let in_file=dd.nisteenpuf19; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt19; * --- ESTIMATION VARIABLE TO USE ---*;
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%let wt=provwt_c; * --- WEIGHT TO USE (PROVWT_C is the single-frame cell-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=Q1/2019 - Q4/2019; *--- 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; 

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;
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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; 

**********************;

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:\nisteenpuf19'; *--- SPECIFY PATH TO SAS DATASET ---*;

%let out='c:\nisteenpuf19'; *--- 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=Q1/2019 - Q4/2019; *--- NIS-TEEN 4 QUARTER PERIOD ---*;

proc format; 
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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; 

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, 2019"; 

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; 
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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:/nisteenpuf19" #"path-to-dataset"

#--- NAME OF R DATASET ---# 

in.file <- paste(dd,"/NISTEENPUF19.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, 52, 53, 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", "TXDallas County", "TX-El Paso County", "TX-City 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 CELL-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(NISTEENPUF19, select=c(SEQNUMT, P_UTDTD, ESTIAPT19, 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)) 
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#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"

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:/nisteenpuf19" #"path-to-data"

#--- NAME OF R DATASET ---# 

in.file <- paste(dd,"/NISTEENPUF19.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",
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"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”

) 

#--- PROVWT_C WILL BE USED AS A WEIGHT (PROVWT_C IS THE SINGLE-FRAME CELL-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(NISTEENPUF19, select=c(SEQNUMT, P_UTDTD, ESTIAPT19, 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()
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library(prettyR) #TO USE freq()

dd <- "c:/nisteenpuf19" #"path-to-dataset"

#--- NAME OF R DATASET ---# 

in.file <- paste(dd,"/NISTEENPUF19.RData",sep="")

#---READ R DATASET---# 

load(in.file)

#---FORMAT---# 

ASTHMAlevels=c(1,2,77,99)

ASTHMAlabels=c("YES", "NO", "DON'T KNOW", "REFUSED")

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",
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

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123

"VERMONT",

"VIRGINIA", 

"WASHINGTON",

"WEST VIRGINIA",

"WISCONSIN", 

"WYOMING", 

“PUERTO RICO”

) 

#--- RDDWT_C WILL BE USED AS A WEIGHT (RDDWT_C IS THE SINGLE-FRAME CELL-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(NISTEENPUF19, select=c(SEQNUMT, ESTIAPT19, STATE, ASTHMA, RDDWT_C, STRATUM)) 

names(R_FILE) <- c("SEQNUMT", "ESTIAP", "STATE", "ASTHMA", "WT", "STRATUM")

#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:/nisteenpuf19" #"path-to-dataset"

out <-"c:/nisteenpuf19" #"path where output will go"
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

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124

#--- NAME OF R DATASET ---# 

in.file <- paste(dd,"/NISTEENPUF19.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 CELL-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(NISTEENPUF19, select=c(SEQNUMT, P_UTDTD, ESTIAPT19, RACE_K, INCPOV1, PROVWT_C, 

STRATUM, PDAT2)) 

names(R_FILE) <- c("SEQNUMT", "P_UTDTD", "ESTIAP", "RACE_K", "INCPOV1", "WT", "STRATUM", "PDAT2")

#---ASSIGN LABELS---# 

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. Q1/2019 - Q4/2019', '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. Q1/2019 - Q4/2019, 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_19", 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(/)

#########################################################################
APPENDIX C 

125

library(survey) #TO USE svydesign(), svymean(), and svyby()

library(Hmisc) #TO USE prn()

dd <- "c:/nisteenpuf19" #---SPECIFY PATH TO R DATASET THAT WAS THE OUTPUT OF R_PROG_4---# 

out <- "c:/nisteenpuf19" #---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_19",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)

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, 2019\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
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and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

126
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

127

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, 2008-2019 

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

AGE AGE IN YEARS OF SELECTED 

TEEN 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 -

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 

-

C1R NUMBER OF PEOPLE IN 

HOUSEHOLD (RECODE) 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 -

CEN_REG CENSUS REGION BASED ON 

TRUE STATE OF RESIDENCE 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 -

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 -

CKUP_AGE AGE IN YEARS AT LAST 

CHECK-UP 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 -

CPOX_AGE AGE IN YEARS WHEN HAD 

CHICKEN POX DISEASE 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 -

CPOX_HAD TEEN EVER HAD CHICKEN 

POX DISEASE? 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 

128

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

D6R

NUMBER OF PROVIDERS 

IDENTIFIED BY RESPONDENT 

(NOT DE-DUPLICATED) 

(RECODE)

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 -

EDUC_TR TEEN'S CURRENT GRADE IN 

SCHOOL (RECODE) 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 -

EST_GRANT AREA OF RESIDENCE PER THE 

56 CORE NIS GRANTEE AREAS - - - - 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 

129

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 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. 

FACILITY FACILITY TYPES FOR TEEN'S 

PROVIDERS 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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

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

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

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

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 

130

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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

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

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

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

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

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.

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

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

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

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 

131

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

FLU_DAGE4

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_DAGE5

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_DAGE6

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_DAGE7

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_DAGE8

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_DAGE9

AGE IN DAYS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MAGE1

AGE IN MONTHS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MAGE2

AGE IN MONTHS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MAGE3

AGE IN MONTHS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.
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 Notes

FLU_MAGE4

AGE IN MONTHS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MAGE5

AGE IN MONTHS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MAGE6

AGE IN MONTHS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MAGE7

AGE IN MONTHS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MAGE8

AGE IN MONTHS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MAGE9

AGE IN MONTHS OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MONTH

MONTH OF HH-REPORTED 

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

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

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

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 

133

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

FLU_MONTH4

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MONTH5

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MONTH6

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MONTH7

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MONTH8

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

FLU_MONTH9

MONTH OF PROVREPORTED SEASONAL 

INFLUENZA VACCINATION 

IN PAST THREE YEARS #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.

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 PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #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.

FLU_YEAR2

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #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.
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 Notes

FLU_YEAR3

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #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.

FLU_YEAR4

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #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.

FLU_YEAR5

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #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.

FLU_YEAR6

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #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.

FLU_YEAR7

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #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.

FLU_YEAR8

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #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.

FLU_YEAR9

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #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.

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 

135

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 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 

136

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 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 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_MAGE2

AGE IN MONTHS 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_MAGE3

AGE IN MONTHS 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 

137

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

H1N_MAGE4

AGE IN MONTHS 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_MAGE5

AGE IN MONTHS 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_MAGE6

AGE IN MONTHS 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_MAGE7

AGE IN MONTHS 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_MAGE8

AGE IN MONTHS 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_MAGE9

AGE IN MONTHS 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_MONTH1

MONTH OF PROV-REPORTED 

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 PROV-REPORTED 

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 PROV-REPORTED 

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 

138

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

H1N_MONTH4

MONTH OF PROV-REPORTED 

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 PROV-REPORTED 

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 PROV-REPORTED 

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 PROV-REPORTED 

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 PROV-REPORTED 

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 PROV-REPORTED 

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 PROV-REPORTED 

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 PROV-REPORTED 

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 PROV-REPORTED 

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 

139

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

H1N_YEAR4

YEAR OF PROV-REPORTED 

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 PROV-REPORTED 

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 PROV-REPORTED 

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 PROV-REPORTED 

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 PROV-REPORTED 

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 PROV-REPORTED 

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.

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.
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 Notes

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

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

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

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

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

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

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

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

HEPA_AGE9

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING 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.

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.
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 Notes

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

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

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

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

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

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

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_DAGE7

AGE IN DAYS OF PROVREPORTED HEPATITIS ACONTAINING 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.

HEPA_DAGE8

AGE IN DAYS OF PROVREPORTED HEPATITIS ACONTAINING 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.
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 Notes

HEPA_DAGE9

AGE IN DAYS OF PROVREPORTED HEPATITIS ACONTAINING 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.

HEPA_MAGE1

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING 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.

HEPA_MAGE2

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING 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.

HEPA_MAGE3

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING 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.

HEPA_MAGE4

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING 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.

HEPA_MAGE5

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING 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.

HEPA_MAGE6

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING 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.

HEPA_MAGE7

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING 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.

HEPA_MAGE8

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING 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.
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 Notes

HEPA_MAGE9

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING 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.

HEPA_NUM_REC

NUMBER OF HH-REPORTED 

HEPATITIS A SHOTS 

RECEIVED (RECALL)

Y Y Y Y Y Y - - - - - - Dropped in 2014 due to shortened 

questionnaire. 

HEPA_NUM_SC

NUMBER OF HH-REPORTED 

HEPATITIS A SHOTS 

RECEIVED (SHOTCARD)

Y Y Y Y Y Y - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPA_NUM_TOT

NUMBER OF HH-REPORTED 

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.

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.
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 Notes

HEPB_AGE1

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_AGE2

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_AGE3

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_AGE4

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_AGE5

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_AGE6

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_AGE7

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_AGE8

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_AGE9

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING 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.

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

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

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 

145

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

HEPB_DAGE3

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_DAGE4

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_DAGE5

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_DAGE6

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_DAGE7

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_DAGE8

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_DAGE9

AGE IN DAYS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_MAGE1

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_MAGE2

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING 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.
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 Notes

HEPB_MAGE3

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_MAGE4

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_MAGE5

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_MAGE6

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_MAGE7

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_MAGE8

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_MAGE9

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING 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.

HEPB_NUM_REC

NUMBER OF HH-REPORTED 

HEPATITIS B SHOTS 

RECEIVED (RECALL)

Y Y Y Y Y Y - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_NUM_SC

NUMBER OF HH-REPORTED 

HEPATITIS B SHOTS 

RECEIVED (SHOTCARD)

Y Y Y Y Y Y - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HEPB_NUM_TOT

NUMBER OF HH-REPORTED 

HEPATITIS B SHOTS 

RECEIVED (TOTAL)

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 

147

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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.

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 -

HPV_AGE2

AGE IN YEARS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #2

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 -

HPV_AGE4

AGE IN YEARS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #4

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 -

HPV_AGE6

AGE IN YEARS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #6

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 -

HPV_AGE8

AGE IN YEARS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #8

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 -
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 Notes

HPV_DAGE1

AGE IN DAYS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #1

- - - 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 

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 

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 

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 

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 

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 

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 

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 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

HPV_MAGE1

AGE IN MONTHS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #1

- - - 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_MAGE2

AGE IN MONTHS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #2

- - - 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 PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #3

- - - 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 PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #4

- - - 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 PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #5

- - - 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 

149

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

HPV_MAGE6

AGE IN MONTHS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #6

- - - 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 PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #7

- - - 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 PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #8

- - - 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 PROVREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #9

- - - 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.

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.
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150

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

HPVI_ANY

HH-REPORT: HAS TEEN EVER 

RECEIVED ANY HUMAN 

PAPILLOMAVIRUS SHOTS?

- - - - - - - 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.

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 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 HH-REPORTED 

HUMAN PAPILLOMAVIRUS 

SHOTS RECEIVED (RECALL)

Y Y Y Y Y Y Y - - - - - Replaced by HPVI_NUM_TOT 

in 2015.

HPVI_NUM_SC

NUMBER OF HH-REPORTED 

HUMAN PAPILLOMAVIRUS 

SHOTS RECEIVED 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - Dropped in 2014 due to shortened 

questionnaire.

HPVI_NUM_TOT

NUMBER OF HH-REPORTED 

HUMAN PAPILLOMAVIRUS 

SHOTS RECEIVED (TOTAL)

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 -

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 

-
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151

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 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 

-

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 

-

HPVI_REAS_13

MAIN REASON TEEN WILL 

NOT RECEIVE HUMAN 

PAPILLOMAVIRUS SHOTS IN 

THE NEXT 12 MONTHS: CHILD 

FEARFUL

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: CHILD 

SHOULD MAKE DECISION

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 

-

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 

-

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 

-

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 

-
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152

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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 

-

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 

-

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 

-

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 

-

HPVI_REAS_22

MAIN REASON TEEN WILL 

NOT RECEIVE HUMAN 

PAPILLOMAVIRUS SHOTS IN 

THE NEXT 12 MONTHS: 

ALREADY UP-TO-DATE

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 

-

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 

-

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 

-

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 

-
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153

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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 

-

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 

-

HPVI_REAS_29

MAIN REASON TEEN WILL 

NOT RECEIVE HUMAN 

PAPILLOMAVIRUS SHOTS IN 

THE NEXT 12 MONTHS: CHILD 

IS MALE

- - 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 -

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 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/TRANSPORTA

TION PROBLEMS

- - - - - - - - Y Y Y Y Additional reason flag added in 

2016.

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 

-
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154

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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 

-

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 

-

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 

-

I_HISP_K IS TEEN HISPANIC OR 

LATINO?: IMPUTED 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 -

INCPORAR INCOME TO POVERTY RATIO 

(RECODE) Y Y Y Y Y Y Y Y Y Y Y Y -

INCPORAR_I INCOME TO POVERTY RATIO: 

IMPUTED (RECODE) - - - - - - - - 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 -

INCQ298A FAMILY INCOME 

CATEGORIES (RECODE) 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 Replaced TIS_INS_1-

TIS_INS_11 starting in 2016.

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 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 -
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155

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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 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.

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

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

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

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.
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156

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

MCV_AGE5

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_AGE6

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_AGE7

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_AGE8

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_AGE9

AGE IN YEARS OF PROVREPORTED MEASLESCONTAINING 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.

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.

MCV_DAGE1

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_DAGE2

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_DAGE3

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_DAGE4

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING 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.
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157

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

MCV_DAGE5

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_DAGE6

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_DAGE7

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_DAGE8

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_DAGE9

AGE IN DAYS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_MAGE1

AGE IN MONTHS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_MAGE2

AGE IN MONTHS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_MAGE3

AGE IN MONTHS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_MAGE4

AGE IN MONTHS OF PROVREPORTED MEASLESCONTAINING 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.
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158

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

MCV_MAGE5

AGE IN MONTHS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_MAGE6

AGE IN MONTHS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_MAGE7

AGE IN MONTHS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_MAGE8

AGE IN MONTHS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_MAGE9

AGE IN MONTHS OF PROVREPORTED MEASLESCONTAINING 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.

MCV_NUM_REC

NUMBER OF HH-REPORTED 

MMR/MEASLES SHOTS 

RECEIVED (RECALL)

Y Y Y Y Y Y - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MCV_NUM_SC

NUMBER OF HH-REPORTED 

MMR/MEASLES SHOTS 

RECEIVED (SHOTCARD)

Y Y Y Y Y Y - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MCV_NUM_TOT

NUMBER OF HH-REPORTED 

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.
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159

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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.

MEN_AGE1

AGE IN YEARS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #1

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 -

MEN_AGE3

AGE IN YEARS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #3

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 -

MEN_AGE5

AGE IN YEARS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #5

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 -
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 Notes

MEN_AGE7

AGE IN YEARS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #7

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 -

MEN_AGE9

AGE IN YEARS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #9

Y Y Y Y Y Y Y Y Y Y Y Y -

MEN_ANY

HH-REPORT: HAS TEEN EVER 

RECEIVED ANY MENINGITIS 

SHOTS?

- - - - - - - 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 

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 

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 

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 

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 

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 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

MEN_DAGE7

AGE IN DAYS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #7

- - - 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 

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 

161

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

MEN_DAGE9

AGE IN DAYS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #9

- - - 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 PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #1

- - - 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 PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #2

- - - 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 PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #3

- - - 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 PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #4

- - - 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 PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #5

- - - 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 PROVREPORTED MENINGOCOCCAL

SEROGROUP ACWY SHOT #6

- - - 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_MAGE7

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #7

- - - 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 PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #8

- - - 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 PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY SHOT #9

- - - 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 HH-REPORTED 

MENINGITIS SHOTS 

RECEIVED (RECALL)

Y Y Y Y Y Y Y - - - - - Replaced with MEN_NUM_TOT 

in 2015. 

MEN_NUM_SC

NUMBER OF HH-REPORTED 

MENINGITIS SHOTS 

RECEIVED (SHOTCARD)

Y Y Y Y Y Y - - - - - - Dropped in 2014 due to shortened 

questionnaire.

MEN_NUM_TOT

NUMBER OF HH-REPORTED 

MENINGITIS SHOTS 

RECEIVED (TOTAL)

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 -
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 Notes

MEN_REAS_10

MAIN REASON TEEN DID NOT 

RECEIVE MENINGITIS SHOTS: 

COSTS

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 

-

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 -

MEN_REAS_13

MAIN REASON TEEN DID NOT 

RECEIVE MENINGITIS SHOTS: 

CHILD FEARFUL

Y Y Y Y Y Y Y Y Y Y Y Y -

MEN_REAS_14

MAIN REASON TEEN DID NOT 

RECEIVE MENINGITIS SHOTS: 

CHILD SHOULD MAKE 

DECISION

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 -

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 

-

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 -

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 

-

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 -

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 -

MEN_REAS_20

MAIN REASON TEEN DID NOT 

RECEIVE MENINGITIS SHOTS: 

TIME

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 -
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 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 -

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 -

MEN_REAS_24 MAIN REASON TEEN DID NOT 

RECEIVE MENINGITIS SHOTS: 

INTEND TO COMPLETE BUT 

HAVE NOT YET/ALREADY 

PLANNED

- - - - - - - - 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/TRANSPORTA

TION PROBLEMS

- - - - - - - - Y Y Y Y Additional reason flag added in 

2016.

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 

-

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 -

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 -

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 -

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 -

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 

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 

164

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

MENB_AGE2

AGE IN YEARS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP B SHOT #2

- - - - - - - - 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 

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 

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 

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 

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 

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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_AGE9

AGE IN YEARS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP B SHOT #9

- - - - - - - - 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 

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 

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 

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 

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 

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 

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 

165

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

MENB_DAGE7

AGE IN DAYS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP B SHOT #7

- - - - - - - - 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 

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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE1

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP B SHOT #1

- - - - - - - - Y Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE2

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP B SHOT #2

- - - - - - - - Y Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE3

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP B SHOT #3

- - - - - - - - Y Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE4

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP B SHOT #4

- - - - - - - - Y Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE5

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP B SHOT #5

- - - - - - - - Y Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE6

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP B SHOT #6

- - - - - - - - Y Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE7

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP B SHOT #7

- - - - - - - - Y Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE8

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP B SHOT #8

- - - - - - - - Y Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE9

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP B SHOT #9

- - - - - - - - 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 

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 

166

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

MENU_AGE2

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #2

- - - - - - - - Y Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_AGE3

AGE IN YEARS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #3

- - - - - - - - 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 

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 

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 

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 

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 

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 

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 

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 

167

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

MENU_DAGE2

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #2

- - - - - - - - Y Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_DAGE3

AGE IN DAYS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #3

- - - - - - - - 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 

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 

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 

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 

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 

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 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE1

AGE IN MONTHS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #1

- - - - - - - - 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 

168

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

MENU_MAGE2

AGE IN MONTHS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #2

- - - - - - - - Y Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE3

AGE IN MONTHS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #3

- - - - - - - - Y Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE4

AGE IN MONTHS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #4

- - - - - - - - Y Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE5

AGE IN MONTHS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #5

- - - - - - - - Y Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE6

AGE IN MONTHS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #6

- - - - - - - - Y Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE7

AGE IN MONTHS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #7

- - - - - - - - Y Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE8

AGE IN MONTHS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #8

- - - - - - - - Y Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE9

AGE IN MONTHS OF PROVREPORTED 

MENINGOCOCCALUNKNOWN SEROGROUP 

SHOT #9

- - - - - - - - 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 

-
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 Notes

N_PRVR

NUMBER OF IHQS WITH 

VACCINATION INFORMATION 

FOR THE TEEN (RECODE)

Y Y Y Y Y Y Y Y Y Y Y Y -

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 

-

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 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 Question added to household 

questionnaire in 2009.

NUM_PHONE

NUMBER OF RESIDENTIAL 

TELEPHONE NUMBERS IN 

HOUSEHOLD (EXCLUDING 

CELL PHONES)

- 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 -

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.
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170

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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

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

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

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

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.
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 Notes

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.

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 ACONTAINING 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.
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 Notes

P_N13HEPA_HA

NUMBER OF HEPATITIS ACONTAINING 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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

P_N13HEPA_HO

NUMBER OF HEPATITIS AONLY 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.

P_N13HEPB

NUMBER OF HEPATITIS BCONTAINING 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.

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

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

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

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 

173

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

P_N13HEPB_64

NUMBER OF HEPATITIS BONLY 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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

P_N13HEPB_HB

NUMBER OF HEPATITIS BCONTAINING 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

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 -

P_N13HPV_4V

NUMBER OF HPV-GARDASIL 

(4vHPV) SHOTS BY AGE 13 

YEARS DETERMINED FROM 

PROVIDER INFO, EXCLUDING 

ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

- - - - - - - Y Y Y Y Y Renamed from P_N13HPV_ GD 

in 2015.

P_N13HPV_9V

NUMBER OF HPV-GARDASIL 9 

(9vHPV) SHOTS BY AGE 13 

YEARS DETERMINED FROM 

PROVIDER INFO, EXCLUDING 

ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

- - - - - - - Y Y Y Y Y 

HPV Gardasil 9-valent shot type 

added to the IHQ shotgrid in 

2015.
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 Notes

P_N13HPV_CV

NUMBER OF HPV-CERVARIX 

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 shot type variables added to 

the PUF in 2012.

P_N13HPV_GD

NUMBER OF HPV-GARDASIL 

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 HPV shot type variables added to 

the PUF in 2012.

P_N13HPV_UV

NUMBER OF HPV-GARDASIL, 

UNKNOWN VALENCY SHOTS 

BY AGE 13 YEARS 

DETERMINED FROM 

PROVIDER INFO, EXCLUDING 

ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

- - - - - - - Y Y Y Y Y 

Added in 2015 to account for 

reported HPV Gardasil shots with 

unknown valence.

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

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

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 

175

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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

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

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

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

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

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 

-
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 Notes

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 

-

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 

-

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 

-

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 

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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

P_N13MENB_BT NUMBER OF 

MENINGOCOCCAL MENBFHPB SHOTS BY AGE 13 

YEARS DETERMINED FROM 

PROVIDER INFO, EXCLUDING 

ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

- - - - - - - - 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 

177

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 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 

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 

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

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.

P_N13TDAP_POST1

0 

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 -

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 Up-to-date variable added to the 

PUF in 2010.
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 Notes

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 

-

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 

-

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 

-

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 

-

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 

-

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

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 

179

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

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

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

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

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

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 

180

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

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

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

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

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 

181

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 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.

P_NUMHEPA

NUMBER OF HEPATITIS ACONTAINING 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.

P_NUMHEPA_HA

NUMBER OF HEPATITIS ACONTAINING 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

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 Notes

P_NUMHEPA_HO

NUMBER OF HEPATITIS AONLY 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.

P_NUMHEPB

NUMBER OF HEPATITIS BCONTAINING 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.

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

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

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

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

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 

183

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

P_NUMHEPB_64

NUMBER OF HEPATITIS BONLY 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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

P_NUMHEPB_HB

NUMBER OF HEPATITIS BCONTAINING 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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

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 -

P_NUMHPV_4V

NUMBER OF HPV-GARDASIL 

(4vHPV) SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER THE 

RDD INTERVIEW DATE.

- - - - - - - Y Y Y Y Y Renamed from P_NUMHPV_GD 

in 2015.

P_NUMHPV_9V

NUMBER OF HPV-GARDASIL 9 

(9vHPV) SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER THE 

RDD INTERVIEW DATE.

- - - - - - - Y Y Y Y Y 

HPV Gardasil 9-valent shot type 

added to the IHQ shotgrid in 

2015.

P_NUMHPV_CV

NUMBER OF HPV-CERVARIX 

SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING 

ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

- - - - Y Y Y Y Y Y Y Y HPV shot type variables added to 

the PUF in 2012.

P_NUMHPV_GD

NUMBER OF HPV-GARDASIL 

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 

184

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 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 HPV shot type variables added to 

the PUF in 2012.

P_NUMHPV_UV

NUMBER OF HPV-GARDASIL, 

UNKNOWN VALENCY SHOTS 

DETERMINED FROM 

PROVIDER INFO, EXCLUDING 

ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

- - - - - - - 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

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

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

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

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

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 Notes

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

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

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 -

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 

-

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 

-

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 

-
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 Notes

P_NUMMENB NUMBER OF 

MENINGOCOCCAL 

SEROGROUP B SHOTS 

DETERMINED FROM 

PROVIDER INFO, EXCLUDING 

ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

- - - - - - - - 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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

P_NUMMENB_BT NUMBER OF 

MENINGOCOCCAL MENBFHPB SHOTS DETERMINED 

FROM PROVIDER INFO, 

EXCLUDING ANY 

VACCINATIONS AFTER THE 

RDD INTERVIEW DATE.

- - - - - - - - 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 

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 

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

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 

187

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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.

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 -

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 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 

-

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 

-

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 

-

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 

-
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 Notes

P_NUMTDP_POST1

0 

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 

-

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

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

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

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

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

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 Up-to-date variable added to the 

PUF in 2015. 
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 Notes

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

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

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 

provider-reported 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 

provider-reported 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 

provider-reported 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 

190

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 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.

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.
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 Notes

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 to reflect 

provider-reported flu 

vaccinations from previous 3 flu 

seasons. Dropped in 2018 due to 

a provider reporting issue. 

Added back in 2019.

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

Added in 2019 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

Added in 2019 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 

192

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

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 B-CONTAINING 

SHOTS 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.

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 -
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 Notes

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 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 

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 -

P_U13MMR

UP-TO-DATE FLAG (PROV 

INFO): 2+ MMR-CONTAINING 

SHOTS 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.

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.

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 -
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 Notes

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 -

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 Up-to-date variable added to PUF 

in 2010.

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

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

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

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

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 

195

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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 

provider-reported 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 

provider-reported 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 

provider-reported flu vaccinations 

from previous 3 flu seasons.

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.
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 Notes

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.

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 to reflect 

provider-reported flu 

vaccinations from previous 3 flu 

seasons. 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 Notes

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 

Added in 2019 to reflect 

provider-reported flu 

vaccinations from previous 3 flu 

seasons. 

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 

Added in 2019 to reflect 

provider-reported flu 

vaccinations from previous 3 flu 

seasons.

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 

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 

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 

198

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

P_UTDHEPB

UP-TO-DATE FLAG (PROV 

INFO): 2+ HEPB 1.0 ML 

RECOMBIVAX SHOTS, OR 3+ 

ANY COMBINATION OF 

HEPATITIS B-CONTAINING 

SHOTS, 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.

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 -

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 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 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 Up-to-date variable added to the 

PUF 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 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 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 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 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 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 Up-to-date variable added to the 

PUF in 2015.

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 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 Up-to-date variable added to the 

PUF in 2015.
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 Notes

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 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 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 Up-to-date variable added to the 

PUF in 2015.

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 

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 -

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 Up-to-date variable added to the 

PUF in 2011.
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 Notes

P_UTDMMR

UP-TO-DATE FLAG (PROV 

INFO): 2+ MMR-CONTAINING 

SHOTS, 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.

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.

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 -

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 Up-to-date variable added to the 

PUF in 2011.

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 -

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 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 Up-to-date variable added to the 

PUF in 2011.
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 Notes

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

P_UTDVRC_NOHI

ST4

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

Up-to-date variable added to 

the PUF in 2011. Dropped in 

2018 due to a provider 

reporting issue. Added back in 

2019.

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

P_UTDVRC2_NOHI

ST4

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

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 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.

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.
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 Notes

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.
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 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.

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.

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.

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.

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.

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.

PPS_MAGE1

AGE IN MONTHS 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.

PPS_MAGE2

AGE IN MONTHS 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.

PPS_MAGE3

AGE IN MONTHS 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.
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 Notes

PPS_MAGE4

AGE IN MONTHS 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.

PPS_MAGE5

AGE IN MONTHS 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.

PPS_MAGE6

AGE IN MONTHS 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.

PPS_MAGE7

AGE IN MONTHS 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.

PPS_MAGE8

AGE IN MONTHS 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.

PPS_MAGE9

AGE IN MONTHS 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.

PROVWT

FINAL PROVIDER-PHASE 

WEIGHT (EXCLUDING U.S. 

VIRGIN ISLANDS)

Y Y Y - - - - - - - - - 

Replaced by PROVWT_LL in 

2011 due to addition of dualframe weights.

PROVWT_C

FINAL SINGLE-FRAME CELLPHONE PROVIDER-PHASE 

WEIGHT (EXCLUDES 

TERRITORIES)

- - - - - - - - - - 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

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.
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 Notes

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. 

PROVWT_LL

FINAL LANDLINE PROVIDERPHASE 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 PROVIDERPHASE 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 -

RACEETHK

RACE/ETHNICITY OF TEEN 

WITH MULTIRACE 

CATEGORY: IMPUTED

(RECODE)

Y Y Y Y Y Y Y Y Y Y Y Y 

-

RDDWT

FINAL HOUSEHOLD-PHASE 

WEIGHT (EXCLUDING U.S. 

VIRGIN ISLANDS)

Y Y Y - - - - - - - - - 

Replaced by RDDWT_LL in 

2011 due to addition of dualframe weights.

RDDWT_C

FINAL SINGLE-FRAME CELLPHONE RDD-PHASE WEIGHT 

(EXCLUDES TERRITORIES)

- - - - - - - - - - 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

Added in 2019 to replace 

RDDWT_D_TERR due to 

removal of the landline sample.
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 Notes

RDDWT_D

FINAL DUAL-FRAME RDDPHASE 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.

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 HOUSEHOLD-PHASE 

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 HOUSEHOLD-PHASE 

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 HOUSEHOLD-PHASE 

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 -

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 

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 -
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 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 

-

RISK_NOW DOES TEEN STILL HAVE ANY 

OF THESE CONDITIONS? 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 -

SEX SEX OF TEEN: IMPUTED 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 -

STRATUM STRATUM VARIABLE FOR 

VARIANCE ESTIMATION - - - - 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 -

TDP_AGE2

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #2

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 -

TDP_AGE4

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #4

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 -

TDP_AGE6

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #6

Y Y Y Y Y Y Y Y Y Y Y Y -

TDP_AGE7

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #7

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 

209

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

TDP_AGE8

AGE IN YEARS OF PROVREPORTED TD/TDAPCONTAINING SHOT #8

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 -

TDP_DAGE1

AGE IN DAYS OF PROVREPORTED TD/TDAPCONTAINING SHOT #1

- - - 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 

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 

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 

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 

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 

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 

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 

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 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

TDP_MAGE1

AGE IN MONTHS OF PROVREPORTED TD/TDAPCONTAINING SHOT #1

- - - 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 PROVREPORTED TD/TDAPCONTAINING SHOT #2

- - - 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_MAGE3

AGE IN MONTHS OF PROVREPORTED TD/TDAPCONTAINING SHOT #3

- - - 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 

210

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

TDP_MAGE4

AGE IN MONTHS OF PROVREPORTED TD/TDAPCONTAINING SHOT #4

- - - 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 PROVREPORTED TD/TDAPCONTAINING SHOT #5

- - - 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 PROVREPORTED TD/TDAPCONTAINING SHOT #6

- - - 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 PROVREPORTED TD/TDAPCONTAINING SHOT #7

- - - 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 PROVREPORTED TD/TDAPCONTAINING SHOT #8

- - - 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 PROVREPORTED TD/TDAPCONTAINING SHOT #9

- - - 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.

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.
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 Notes

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 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 HH-REPORTED 

TETANUS BOOSTER SHOTS 

RECEIVED (SHOTCARD)

Y Y Y Y Y Y - - - - - - Dropped in 2014 due to shortened 

questionnaire.

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: HOSPITAL-BASED 

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.
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 Notes

TET_PLACE_12

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER AGE 7 

YEARS: 

ELEMENTARY/MIDDLE/HIGH 

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.

TET_PLACE_6

KIND OF PLACE TEEN 

RECEIVED TETANUS 

BOOSTER SHOT AFTER AGE 7 

YEARS: OTHER MEDICALLYRELATED 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 NONMEDICALLY-RELATED PLACE

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 

213

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

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 -

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 -

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 

-

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 

-

TET_REAS_13

MAIN REASON TEEN DID NOT 

RECEIVE TETANUS BOOSTER 

SHOTS: CHILD FEARFUL

Y Y Y Y Y Y Y Y Y Y Y Y -

TET_REAS_14

MAIN REASON TEEN DID NOT 

RECEIVE TETANUS BOOSTER 

SHOTS: CHILD SHOULD MAKE 

DECISION

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 -

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 

-

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 

-

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 

-

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 -

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 

-
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 Notes

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 -

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 

-

TET_REAS_22

MAIN REASON TEEN DID NOT 

RECEIVE TETANUS BOOSTER 

SHOTS: ALREADY UP-TODATE

Y Y Y Y Y Y Y Y Y Y Y Y 

-

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 -

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 

-

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 Additional reason flag added in 

2016.

TET_REAS_26 MAIN REASON TEEN DID NOT 

RECEIVE TETANUS BOOSTER 

SHOTS: DIFFICULTY MAKING 

OR GETTING TO 

APPOINTMENT/TRANSPORTA

TION PROBLEMS

- - - - - - - - Y Y Y Y Additional reason flag added in 

2016.

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 

-

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 

-

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 

-
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 Notes

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 -

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.

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.
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 Notes

TIS_INS_4_5

IS TEEN COVERED BY INDIAN 

HEALTH SERVICE, MILITARY 

HEALTH CARE, TRICARE, 

CHAMPUS, OR CHAMP-VA?

- 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 

CHAMP-VA?

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 -

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 

-

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.

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.
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 Notes

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

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

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

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

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

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

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

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

VRC_AGE9

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING 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.

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

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 

218

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

VRC_DAGE2

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_DAGE3

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_DAGE4

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_DAGE5

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_DAGE6

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_DAGE7

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_DAGE8

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_DAGE9

AGE IN DAYS OF PROVREPORTED VARICELLACONTAINING 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.

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

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 

219

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

VRC_MAGE1

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_MAGE2

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_MAGE3

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_MAGE4

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_MAGE5

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_MAGE6

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_MAGE7

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_MAGE8

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING 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.

VRC_MAGE9

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING 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.
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 Notes

VRC_NUM_REC

NUMBER OF HH-REPORTED 

VARICELLA SHOTS RECEIVED 

(RECALL)

Y Y Y Y Y Y - - - - - - Dropped in 2014 due to shortened 

questionnaire.

VRC_NUM_SC

NUMBER OF HH-REPORTED 

VARICELLA SHOTS RECEIVED 

(SHOTCARD)

Y Y Y Y Y Y - - - - - - Dropped in 2014 due to shortened 

questionnaire.

VRC_NUM_TOT

NUMBER OF HH-REPORTED 

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 CHECK-UP?

- - - - - - - - - - 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

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

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

XFLUTY3

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #3 TYPE 

CODE

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

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

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

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

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

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 

221

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

XFLUTY9

SEASONAL INFLUENZA 

VACCINATION IN PAST 

THREE YEARS #9 TYPE 

CODE

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.

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.
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 Notes

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 A-CONTAINING 

VACCINATION #1 TYPE 

CODE

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 A-CONTAINING 

VACCINATION #2 TYPE 

CODE

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 A-CONTAINING 

VACCINATION #3 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

XHEPATY4

HEPATITIS A-CONTAINING 

VACCINATION #4 TYPE 

CODE

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 A-CONTAINING 

VACCINATION #5 TYPE 

CODE

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 A-CONTAINING 

VACCINATION #6 TYPE 

CODE

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 A-CONTAINING 

VACCINATION #7 TYPE 

CODE

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 A-CONTAINING 

VACCINATION #8 TYPE 

CODE

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 A-CONTAINING 

VACCINATION #9 TYPE 

CODE

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 B-CONTAINING 

VACCINATION #1 TYPE 

CODE

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 B-CONTAINING 

VACCINATION #2 TYPE 

CODE

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 B-CONTAINING 

VACCINATION #3 TYPE 

CODE

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 

223

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

XHEPBTY4

HEPATITIS B-CONTAINING 

VACCINATION #4 TYPE 

CODE

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 B-CONTAINING 

VACCINATION #5 TYPE 

CODE

Y Y Y Y Y Y Y Y Y Y - Y

Dropped in 2018 due to a 

provider reporting issue. Added 

back in 2019.

XHEPBTY6

HEPATITIS B-CONTAINING 

VACCINATION #6 TYPE 

CODE

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 B-CONTAINING 

VACCINATION #7 TYPE 

CODE

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 B-CONTAINING 

VACCINATION #8 TYPE 

CODE

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 B-CONTAINING 

VACCINATION #9 TYPE 

CODE

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 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 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 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 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 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 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 HPV shot type variables added to 

the PUF in 2012.

XHPVTY8 HUMAN PAPILLOMAVIRUS 

VACCINATION #8 TYPE CODE - - - - 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 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

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

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 

224

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

XMCVTY3

MEASLES-CONTAINING 

VACCINATION #3 TYPE 

CODE

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

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

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

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

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

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

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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY2

MENINGOCOCCAL 

SEROGROUP B VACCINATION 

#2 TYPE CODE

- - - - - - - - Y Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY3

MENINGOCOCCAL 

SEROGROUP B VACCINATION 

#3 TYPE CODE

- - - - - - - - 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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY5

MENINGOCOCCAL 

SEROGROUP B VACCINATION 

#5 TYPE CODE

- - - - - - - - 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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY7

MENINGOCOCCAL 

SEROGROUP B VACCINATION 

#7 TYPE CODE

- - - - - - - - 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 

225

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

XMENBTY8

MENINGOCOCCAL 

SEROGROUP B VACCINATION 

#8 TYPE CODE

- - - - - - - - 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 

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 -

XMENTY2

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #2 TYPE CODE

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 -

XMENTY4

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #4 TYPE CODE

Y Y Y Y Y Y Y Y Y Y Y Y -

XMENTY5

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #5 TYPE CODE

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 -

XMENTY7

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #7 TYPE CODE

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 -

XMENTY9

MENINGOCOCCAL 

SEROGROUP ACWY 

VACCINATION #9 TYPE CODE

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 -

XTDPTY2 TD/TDAP-CONTAINING 

VACCINATION #2 TYPE CODE 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 -

XTDPTY4 TD/TDAP-CONTAINING 

VACCINATION #4 TYPE CODE 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 

226

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Notes

XTDPTY5 TD/TDAP-CONTAINING 

VACCINATION #5 TYPE CODE 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 -

XTDPTY7 TD/TDAP-CONTAINING 

VACCINATION #7 TYPE CODE 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 -

XTDPTY9 TD/TDAP-CONTAINING 

VACCINATION #9 TYPE CODE Y Y Y Y Y Y Y Y Y Y Y Y -

XVRCTY1

VARICELLA-CONTAINING 

VACCINATION #1 TYPE 

CODE

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

VARICELLA-CONTAINING 

VACCINATION #2 TYPE 

CODE

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

VARICELLA-CONTAINING 

VACCINATION #3 TYPE 

CODE

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

VARICELLA-CONTAINING 

VACCINATION #4 TYPE 

CODE

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

VARICELLA-CONTAINING 

VACCINATION #5 TYPE 

CODE

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

VARICELLA-CONTAINING 

VACCINATION #6 TYPE 

CODE

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

VARICELLA-CONTAINING 

VACCINATION #7 TYPE 

CODE

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

VARICELLA-CONTAINING 

VACCINATION #8 TYPE 

CODE

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

VARICELLA-CONTAINING 

VACCINATION #9 TYPE 

CODE

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 -
Summary Tables APPENDIX E 

227

Appendix E: Summary Tables

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

and Estimation Area, National Immunization Survey - Teen, 2019 

State/Estimation Area ESTIAPT19 

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* 20,800,342 42,668 18,788 44.0

Alabama 20 311,072 730 296 40.5

Alaska 74 48,328 779 426 54.7

Arizona 66 472,322 726 308 42.4

Arkansas 46 197,978 682 329 48.2

California 68 2,517,263 686 274 39.9

Colorado 60 363,000 656 262 39.9

Connecticut 1 223,658 656 294 44.8

Delaware 13 57,824 635 308 48.5

District of Columbia 12 25,188 833 282 33.9

Florida 22 1,210,865 845 329 38.9

Georgia 25 724,263 741 315 42.5

Hawaii 72 78,849 681 304 44.6

Idaho 75 130,430 682 332 48.7

Illinois 817,412 1,434 602 42.0

 IL-City of Chicago 35 140,763 403 160 39.7

 IL-Rest of State 34 676,649 1,031 442 42.9

Indiana 36 446,924 641 289 45.1

Iowa 56 205,386 568 302 53.2

Kansas 57 197,406 706 381 54.0

Kentucky 27 283,757 620 292 47.1

Louisiana 47 299,770 828 336 40.6

Maine 4 74,278 668 316 47.3

Maryland 14 377,552 1,228 524 42.7

Massachusetts 2 400,019 627 300 47.8

Michigan 38 631,758 698 297 42.6

Minnesota 40 366,125 632 276 43.7

Mississippi 28 201,034 647 270 41.7

Missouri 58 391,684 709 288 40.6

Montana 61 64,676 594 297 50.0

Nebraska 59 132,699 604 285 47.2

Nevada 73 193,574 783 313 40.0

New Hampshire 5 78,698 700 333 47.6

New Jersey 8 563,651 885 331 37.4

New Mexico 49 138,266 933 405 43.4

New York 1,125,173 1,244 498 40.0

 NY-City of New York 11 440,465 659 257 39.0

 NY-Rest of State 10 684,708 585 241 41.2

North Carolina 29 661,756 718 305 42.5

North Dakota 62 45,807 627 319 50.9

Ohio 41 739,821 673 302 44.9

Oklahoma 50 266,384 794 369 46.5
Summary Tables APPENDIX E 

228

State/Estimation Area ESTIAPT19 

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

Oregon 76 245,918 564 270 47.9

Pennsylvania 761,271 1,752 734 41.9

 PA-Philadelphia County 17 88,171 658 242 36.8

 PA-Rest of State 16 673,101 1,094 492 45.0

Rhode Island 6 59,999 634 319 50.3

South Carolina 30 314,227 749 319 42.6

South Dakota 63 58,689 631 313 49.6

Tennessee 31 425,944 589 261 44.3

Texas 2,078,930 4,697 1,850 39.4

 TX-Bexar County 55 142,595 676 293 43.3

 TX-City of Houston 54 130,453 432 174 40.3

 TX-Dallas County 52 204,978 775 271 35.0

 TX-El Paso County 53 78,340 587 280 47.7

 TX-Rest of State 51 1,522,563 2,227 832 37.4

Utah 64 263,298 629 325 51.7

Vermont 7 34,277 941 472 50.2

Virginia 18 525,741 895 363 40.6

Washington 77 456,290 658 304 46.2

West Virginia 19 104,642 714 309 43.3

Wisconsin 44 369,372 700 331 47.3

Wyoming 65 37,093 622 329 52.9

Puerto Rico 106 186,750 835 216 25.9

U.S. Virgin Islands 95 6,860 509 218 42.8

Guam 105 13,990 592 278 47.0

* Excludes U.S. territories. 
Summary Tables APPENDIX E 

229

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

National Immunization Survey - Teen, 2019 

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 874 468,554 394 454,002 

13 12 Years 1,307 816,874 570 848,128 

13 >12, Non College Graduate 2,269 973,816 1,044 976,677 

13 College Graduate 4,050 1,694,523 1,919 1,645,842 

14 <12 Years 870 530,273 391 502,160 

14 12 Years 1,335 988,373 550 1,030,346 

14 >12, Non College Graduate 2,332 1,041,107 1,065 996,031 

14 College Graduate 4,252 1,847,918 2,001 1,908,253 

15 <12 Years 898 495,688 404 536,755 

15 12 Years 1,332 895,362 540 929,833 

15 >12, Non College Graduate 2,257 996,207 961 1,026,600 

15 College Graduate 4,148 1,786,592 1,848 1,864,856 

16 <12 Years 791 487,068 320 460,233 

16 12 Years 1,286 910,114 518 817,920 

16 >12, Non College Graduate 2,280 958,232 1,000 938,735 

16 College Graduate 4,346 1,847,708 1,915 1,826,073 

17 <12 Years 674 413,197 269 442,785 

17 12 Years 1,325 928,459 502 911,833 

17 >12, Non College Graduate 2,061 943,050 851 963,532 

17 College Graduate 3,981 1,777,225 1,726 1,719,747 

Total 42,668 20,800,342 18,788 20,800,342 

* Excludes U.S. territories. 

† Weighted by single-frame cell-phone weight RDDWT_C. 

§ Weighted by single-frame cell-phone weight PROVWT_C. 
Summary Tables APPENDIX E 

230

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

National Immunization Survey - Teen, 2019 

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 4,257 1,822,853 2,018 1,712,512 

13 Above poverty, <= $75K 2,371 1,121,264 1,090 1,153,888 

13 Below poverty 1,293 740,297 672 790,996 

13 Unknown 579 269,355 147 267,253 

14 Above poverty, > $75K 4,468 1,938,653 2,129 2,010,438 

14 Above poverty, <= $75K 2,484 1,296,336 1,152 1,308,607 

14 Below poverty 1,270 885,933 597 877,073 

14 Unknown 567 286,749 129 240,672 

15 Above poverty, > $75K 4,432 1,969,124 1,999 2,030,945 

15 Above poverty, <= $75K 2,406 1,149,918 1,063 1,306,589 

15 Below poverty 1,211 722,857 559 774,253 

15 Unknown 586 331,951 132 246,257 

16 Above poverty, > $75K 4,464 1,948,096 2,018 1,997,271 

16 Above poverty, <= $75K 2,457 1,235,294 1,053 1,118,711 

16 Below poverty 1,187 725,659 547 670,954 

16 Unknown 595 294,073 135 256,025 

17 Above poverty, > $75K 4,270 1,885,606 1,897 1,934,225 

17 Above poverty, <= $75K 2,236 1,216,577 906 1,176,094 

17 Below poverty 924 635,769 428 688,408 

17 Unknown 611 323,978 117 239,171 

Total 42,668 20,800,342 18,788 20,800,342 

* Excludes U.S. territories. 

† Weighted by single-frame cell-phone weight RDDWT_C.

§ Weighted by single-frame cell-phone weight PROVWT_C.
Summary Tables APPENDIX E 

231

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

National Immunization Survey - Teen, 2019 

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 2,310 1,372,717 986 1,342,181 

Hispanic Above poverty, <= $75K 2,504 1,539,380 1,096 1,630,323 

Hispanic Below poverty 2,570 1,744,613 1,176 1,660,874 

Hispanic Unknown 784 476,577 208 504,435 

Non-Hispanic 

White Only Above poverty, > $75K 15,881 6,321,581 7,542 6,487,784 

Non-Hispanic 

White Only Above poverty, <= $75K 6,713 2,910,741 3,056 2,843,805 

Non-Hispanic 

White Only Below poverty 1,836 933,648 955 959,860 

Non-Hispanic 

White Only Unknown 1,584 712,112 330 527,652 

Non-Hispanic 

Black Only Above poverty, > $75K 1,264 854,898 449 837,657 

Non-Hispanic 

Black Only Above poverty, <= $75K 1,354 1,038,689 508 1,037,703 

Non-Hispanic 

Black Only Below poverty 818 712,464 351 834,349 

Non-Hispanic 

Black Only Unknown 294 209,319 57 129,697 

Non-Hispanic 

Other & 

Multiple Race

Above poverty, > $75K 

2,436 1,015,137 1,084 1,017,768 

Non-Hispanic 

Other & 

Multiple Race

Above poverty, <= $75K 

1,383 530,579 604 552,058 

Non-Hispanic 

Other & 

Multiple Race

Below poverty 

661 319,788 321 346,603 

Non-Hispanic 

Other & 

Multiple Race

Unknown 

276 108,098 65 87,594 

Total 42,668 20,800,342 18,788 20,800,342 

* Excludes U.S. territories. 

† Race/ethnicity is respondent-reported and the categories presented here are mutually exclusive. 

§ Weighted by single-frame cell-phone weight RDDWT_C.

¶ Weighted by single-frame cell-phone weight PROVWT_C.
Summary Tables APPENDIX E 

232

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

National Immunization Survey - Teen, 2019 

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 1,724 976,827 784 1,041,847 

13 Non-Hispanic White Only 5,027 2,025,714 2,399 1,969,428 

13 Non-Hispanic Black Only 765 557,583 304 554,577 

13 

Non-Hispanic Other & 

Multiple Races 984 393,643 440 358,798 

14 Hispanic 1,714 1,151,001 721 1,108,072 

14 Non-Hispanic White Only 5,296 2,222,888 2,535 2,230,761 

14 Non-Hispanic Black Only 769 600,639 281 628,710 

14 

Non-Hispanic Other & 

Multiple Races 1,010 433,143 470 469,247 

15 Hispanic 1,700 1,012,618 749 1,114,157 

15 Non-Hispanic White Only 5,233 2,222,866 2,312 2,283,121 

15 Non-Hispanic Black Only 744 561,353 277 592,137 

15 

Non-Hispanic Other & 

Multiple Races 958 377,014 415 368,629 

16 Hispanic 1,637 1,006,075 680 955,963 

16 Non-Hispanic White Only 5,356 2,246,057 2,420 2,178,319 

16 Non-Hispanic Black Only 772 543,207 261 476,837 

16 

Non-Hispanic Other & 

Multiple Races 938 407,783 392 431,843 

17 Hispanic 1,393 986,767 532 917,775 

17 Non-Hispanic White Only 5,102 2,160,557 2,217 2,157,473 

17 Non-Hispanic Black Only 680 552,588 242 587,145 

17 

Non-Hispanic Other & 

Multiple Races 866 362,020 357 375,505 

Total 42,668 20,800,342 18,788 20,800,342 

* Excludes U.S. territories. 

† Race/ethnicity is respondent-reported and the categories presented here are mutually exclusive. 

§ Weighted by single-frame cell-phone weight RDDWT_C.

¶ Weighted by single-frame cell-phone weight PROVWT_C.
Summary Tables APPENDIX E 

233

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

Immunization Survey - Teen, 2019 

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 4,419 1,970,645 2,080 1,904,633 

13 Female 4,081 1,983,123 1,847 2,020,016 

14 Male 4,589 2,271,654 2,098 2,268,749 

14 Female 4,200 2,136,017 1,909 2,168,041 

15 Male 4,604 2,149,933 2,009 2,217,574 

15 Female 4,031 2,023,917 1,744 2,140,470 

16 Male 4,482 2,134,186 1,924 2,067,555 

16 Female 4,221 2,068,935 1,829 1,975,406 

17 Male 4,199 2,087,586 1,761 2,155,493 

17 Female 3,842 1,974,345 1,587 1,882,405 

Total 42,668 20,800,342 18,788 20,800,342 

* Excludes U.S. territories. 

† Weighted by single-frame cell-phone weight RDDWT_C.

§ Weighted by single-frame cell-phone weight PROVWT_C.
Summary Tables APPENDIX E 

234

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, 2019 

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††† 91.9(±0.9) 90.2(±1.0) 88.9(±0.9) 73.2(±1.9) 56.8(±2.2) 69.8(±1.9) 51.8(±2.1) 71.5(±1.3) 54.2(±1.5)

Alabama 94.0(±3.1) 91.8(±3.8) 86.8(±4.6) 69.6(±9.0) 52.2(±9.8) 61.6(±9.8) 42.5(±9.8) 65.6(±6.7) 47.3(±7.0)

Alaska 82.9(±4.5) 81.7(±4.6) 74.9(±5.0) 69.0(±7.7) 57.8(±8.0) 68.1(±7.4) 47.5(±8.0) 68.6(±5.3) 52.6(±5.7)

Arizona 92.7(±3.0) 89.9(±3.6) 87.2(±4.9) 70.6(±8.4) 57.4(±9.5) 73.0(±9.0) 56.3(±10.2) 71.8(±6.2) 56.9(±7.0)

Arkansas 96.0(±2.1) 93.4(±3.3) 95.6(±2.3) 71.0(±8.8) 55.2(±9.7) 64.9(±8.5) 46.1(±9.1) 67.9(±6.1) 50.5(±6.7)

California 87.8(±6.1) 86.3(±6.2) 89.4(±5.2) 79.7(±10.0) 61.5(±12.8) 77.8(±10.5) 51.4(±12.3) 78.7(±7.3) 56.4(±9.0)

Colorado 92.1(±4.3) 91.3(±4.4) 89.4(±4.5) 85.1(±8.0) 70.4(±11.1) 75.6(±9.5) 56.9(±11.0) 80.2(±6.3) 63.5(±7.9)

Connecticut 96.5(±2.4) 96.5(±2.4) 93.7(±3.9) 69.1(±10.2) 56.3(±10.8) 72.0(±8.8) 51.3(±10.0) 70.6(±6.7) 53.8(±7.4)

Delaware 90.6(±4.1) 89.7(±4.3) 89.0(±4.4) 75.6(±8.5) 60.7(±9.5) 75.2(±7.7) 57.7(±9.3) 75.4(±5.7) 59.2(±6.6)

Dist. of Columbia 88.1(±5.7) 86.0(±5.9) 88.7(±5.8) 84.0(±9.6) 73.0(±11.4) 89.6(±6.5) 78.0(±9.5) 86.8(±5.8) 75.5(±7.4)

Florida 97.2(±1.8) 95.6(±3.0) 82.9(±6.3) 71.5(±10.7) 55.5(±12.0) 64.4(±11.5) 56.4(±12.0) 67.9(±7.9) 56.0(±8.5)

Georgia 96.3(±2.5) 92.5(±3.8) 95.5(±2.5) 68.5(±9.4) 56.1(±9.8) 63.4(±9.5) 43.5(±10.0) 65.9(±6.7) 49.7(±7.1)

Hawaii 84.4(±5.3) 83.4(±5.4) 82.5(±5.5) 76.3(±9.0) 66.2(±9.9) 82.4(±7.0) 65.8(±9.0) 79.4(±5.7) 66.0(±6.7)

Idaho 89.3(±4.4) 88.0(±4.6) 91.3(±3.6) 67.8(±9.7) 47.6(±10.3) 60.5(±9.9) 40.7(±9.4) 64.0(±7.0) 44.1(±7.0)

Illinois 91.9(±2.9) 90.4(±3.1) 91.0(±2.9) 72.1(±6.9) 55.2(±7.3) 71.3(±6.2) 54.5(±6.9) 71.7(±4.6) 54.9(±5.0)

IL-City of Chicago 92.1(±6.2) 90.4(±6.3) 92.9(±5.0) 80.7(±12.6) 64.1(±14.7) 81.5(±10.7) 64.3(±14.0) 81.1(±8.2) 64.2(±10.1)

IL-Rest of State 91.8(±3.3) 90.4(±3.6) 90.6(±3.3) 70.2(±7.9) 53.4(±8.3) 69.2(±7.2) 52.5(±7.8) 69.7(±5.3) 52.9(±5.7)

Indiana 94.0(±3.7) 93.1(±3.8) 92.8(±3.8) 67.4(±9.9) 41.5(±10.4) 65.2(±8.7) 40.9(±8.7) 66.3(±6.6) 41.2(±6.8)

Iowa 94.8(±2.6) 94.1(±2.8) 93.6(±3.1) 74.2(±8.2) 60.4(±8.9) 76.0(±7.7) 61.4(±9.1) 75.1(±5.6) 60.9(±6.4)

Kansas 93.0(±2.8) 91.9(±3.0) 80.7(±5.1) 61.7(±9.5) 46.6(±9.6) 70.0(±8.0) 52.3(±9.0) 65.9(±6.2) 49.5(±6.6)

Kentucky 91.2(±3.8) 89.2(±4.2) 90.6(±4.0) 79.8(±7.7) 61.8(±9.2) 69.3(±8.6) 48.3(±9.5) 74.4(±5.8) 54.9(±6.7)

Louisiana 94.6(±3.2) 94.1(±3.3) 92.0(±3.7) 76.6(±9.3) 58.2(±11.1) 71.4(±9.3) 60.7(±10.4) 73.9(±6.6) 59.5(±7.6)

Maine 93.8(±3.2) 91.9(±3.4) 89.1(±4.0) 64.9(±9.7) 56.6(±9.9) 65.2(±9.1) 48.9(±9.5) 65.1(±6.6) 52.6(±6.9)

Maryland 93.6(±3.0) 91.6(±3.7) 94.9(±2.7) 78.3(±8.0) 68.6(±8.9) 79.4(±7.5) 69.1(±8.3) 78.9(±5.5) 68.9(±6.1)

Massachusetts 97.4(±2.4) 95.7(±3.2) 96.2(±2.5) 89.8(±5.7) 74.0(±9.5) 86.0(±7.3) 74.6(±9.5) 87.9(±4.7) 74.3(±6.7)

Michigan 94.0(±2.9) 89.2(±4.3) 95.4(±2.6) 72.2(±9.0) 57.7(±10.2) 75.2(±7.9) 61.1(±9.5) 73.7(±6.0) 59.4(±7.0)

Minnesota 91.7(±4.8) 90.0(±5.4) 86.9(±5.8) 75.8(±10.0) 64.0(±11.0) 71.9(±10.3) 50.0(±11.1) 73.8(±7.2) 56.8(±8.0)
Summary Tables APPENDIX E 

235

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 90.4(±4.8) 90.4(±4.8) 60.3(±7.5) 56.3(±10.8) 32.1(±11.1) 43.1(±10.3) 29.0(±9.6) 49.5(±7.6) 30.5(±7.3)

Missouri 85.2(±5.1) 82.4(±5.5) 84.8(±5.1) 74.2(±9.1) 55.2(±10.9) 64.1(±9.9) 53.5(±10.3) 69.0(±6.8) 54.3(±7.5)

Montana 92.2(±3.6) 90.1(±4.1) 73.1(±6.1) 70.0(±8.9) 51.3(±10.0) 57.6(±9.4) 42.3(±9.1) 63.7(±6.6) 46.7(±6.8)

Nebraska 92.7(±4.3) 91.2(±4.5) 86.3(±5.5) 74.0(±9.7) 62.1(±10.3) 73.9(±9.4) 59.0(±10.0) 73.9(±6.8) 60.5(±7.2)

Nevada 89.7(±4.5) 89.0(±4.5) 87.0(±4.9) 68.3(±9.5) 55.6(±10.1) 69.4(±9.4) 50.3(±10.2) 68.9(±6.7) 52.9(±7.2)

New Hampshire 95.1(±3.1) 94.2(±3.3) 86.0(±4.9) 80.0(±7.4) 67.4(±9.0) 70.4(±9.4) 59.1(±9.7) 75.1(±6.1) 63.2(±6.7)

New Jersey 92.1(±3.9) 89.0(±4.6) 90.6(±4.3) 71.6(±8.6) 52.5(±9.7) 62.8(±9.7) 50.3(±9.9) 67.1(±6.5) 51.4(±6.9)

New Mexico 89.9(±3.7) 87.8(±3.9) 83.5(±4.7) 64.5(±8.8) 53.8(±8.9) 81.7(±6.2) 65.7(±7.9) 73.3(±5.5) 59.8(±6.0)

New York 94.9(±2.2) 93.4(±2.4) 95.0(±2.2) 73.5(±7.6) 59.7(±8.5) 68.2(±7.7) 54.5(±7.9) 70.8(±5.4) 57.0(±5.8)

NY-City of New York 92.3(±3.9) 88.9(±4.6) 95.3(±2.4) 72.3(±9.7) 60.6(±10.5) 74.2(±10.0) 65.4(±10.4) 73.3(±7.0) 63.0(±7.4)

NY-Rest of State 96.5(±2.6) 96.2(±2.6) 94.8(±3.2) 74.3(±10.8) 59.1(±12.2) 64.5(±10.8) 47.6(±10.8) 69.3(±7.7) 53.2(±8.2)

North Carolina 92.0(±4.1) 92.0(±4.1) 93.2(±3.8) 73.7(±9.0) 53.4(±10.2) 68.9(±9.3) 45.8(±9.5) 71.3(±6.5) 49.5(±7.0)

North Dakota 97.3(±1.6) 96.7(±1.7) 95.8(±2.1) 88.1(±5.0) 76.6(±7.6) 89.5(±5.5) 77.2(±8.0) 88.8(±3.7) 76.9(±5.5)

Ohio 94.7(±2.6) 94.2(±2.7) 91.9(±3.4) 73.7(±8.5) 52.4(±10.0) 66.0(±8.8) 46.8(±9.4) 69.7(±6.1) 49.6(±6.9)

Oklahoma 89.8(±3.5) 88.0(±3.8) 77.3(±5.3) 70.8(±8.2) 42.4(±9.1) 60.7(±8.2) 41.2(±8.5) 65.6(±5.8) 41.8(±6.2)

Oregon 91.1(±4.3) 90.2(±4.4) 85.0(±5.2) 73.8(±9.5) 63.7(±10.4) 75.3(±9.0) 58.0(±10.1) 74.6(±6.5) 60.8(±7.3)

Pennsylvania 94.9(±2.5) 93.8(±2.8) 94.0(±2.8) 78.9(±6.5) 61.2(±7.8) 75.2(±6.7) 59.1(±7.8) 77.0(±4.7) 60.1(±5.5)

PA-Philadelphia 95.2(±3.4) 92.9(±4.3) 93.4(±3.7) 91.2(±5.3) 78.8(±9.6) 88.7(±7.6) 76.2(±9.5) 90.0(±4.7) 77.5(±6.8)

PA-Rest of State 94.9(±2.8) 93.9(±3.1) 94.0(±3.1) 77.3(±7.3) 58.9(±8.7) 73.4(±7.5) 56.9(±8.7) 75.3(±5.2) 57.9(±6.2)

Rhode Island 96.7(±2.0) 96.4(±2.0) 98.2(±1.2) 93.4(±5.7) 77.8(±9.3) 90.5(±4.8) 80.0(±7.2) 91.9(±3.7) 78.9(±5.9)

South Carolina 93.2(±3.2) 91.9(±3.4) 86.4(±4.6) 75.7(±8.2) 59.2(±9.9) 68.0(±8.7) 47.0(±9.8) 71.8(±6.0) 53.0(±7.0)

South Dakota 91.4(±3.7) 90.0(±4.0) 86.2(±4.6) 71.8(±9.1) 59.2(±10.1) 75.3(±7.6) 63.0(±8.2) 73.6(±5.9) 61.2(±6.5)

Tennessee 91.0(±4.5) 89.1(±4.7) 79.3(±5.9) 69.9(±9.7) 50.5(±10.5) 54.3(±10.2) 35.8(±9.8) 61.9(±7.2) 43.0(±7.3)

Texas 86.5(±2.6) 84.8(±2.7) 85.9(±2.6) 64.2(±5.1) 50.6(±5.1) 65.9(±4.7) 46.3(±5.0) 65.1(±3.4) 48.4(±3.6)

TX-Bexar County 87.2(±5.1) 83.8(±5.7) 87.4(±4.9) 65.7(±9.7) 47.7(±10.2) 68.8(±8.8) 47.3(±9.4) 67.2(±6.5) 47.5(±6.9)

TX-City of Houston 93.5(±4.4) 91.8(±4.7) 92.0(±5.3) 84.2(±10.2) 61.6(±13.6) 75.8(±11.6) 54.2(±13.7) 79.9(±7.8) 57.8(±9.7)

TX-El Paso County 93.0(±3.4) 89.1(±4.3) 93.5(±3.2) 85.4(±6.3) 71.4(±8.7) 82.3(±7.3) 56.3(±9.9) 83.9(±4.8) 63.7(±6.7)

TX-Dallas County 86.6(±5.0) 84.6(±5.1) 86.6(±5.1) 68.5(±10.0) 52.7(±10.6) 67.6(±9.2) 48.3(±10.3) 68.1(±6.8) 50.5(±7.4)

TX-Rest of State 85.5(±3.4) 84.1(±3.5) 84.8(±3.4) 60.7(±6.6) 48.6(±6.7) 63.7(±6.2) 44.8(±6.5) 62.2(±4.5) 46.7(±4.7)

Utah 88.4(±5.0) 86.8(±5.2) 86.6(±5.0) 75.0(±9.0) 48.0(±10.2) 63.0(±10.0) 41.4(±10.0) 68.8(±6.8) 44.6(±7.2)
Summary Tables APPENDIX E 

236

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)

Vermont 95.3(±2.7) 94.3(±2.8) 93.6(±2.7) 85.9(±5.3) 67.0(±7.8) 78.3(±6.5) 60.3(±7.7) 82.0(±4.3) 63.6(±5.5)

Virginia 91.4(±4.9) 89.1(±5.4) 86.7(±5.6) 71.3(±10.9) 52.5(±11.9) 78.9(±9.1) 57.8(±11.3) 75.2(±7.1) 55.2(±8.2)

Washington 90.8(±3.8) 89.8(±4.0) 83.3(±5.5) 75.2(±8.9) 60.4(±10.6) 69.1(±9.9) 46.5(±11.1) 72.0(±6.7) 53.3(±7.9)

West Virginia 92.4(±3.8) 89.4(±4.2) 91.0(±4.1) 67.5(±9.6) 51.3(±10.2) 62.0(±8.2) 43.8(±8.4) 64.7(±6.3) 47.4(±6.6)

Wisconsin 92.1(±3.7) 90.7(±3.8) 90.6(±3.7) 78.2(±7.9) 67.2(±8.7) 66.4(±8.3) 54.1(±8.7) 72.2(±5.8) 60.5(±6.2)

Wyoming 92.7(±3.7) 90.7(±4.0) 73.9(±5.6) 63.2(±9.1) 42.6(±9.3) 55.2(±8.9) 40.4(±8.8) 59.1(±6.4) 41.5(±6.4)

U.S. Virgin Islands 91.8(±0.9) 90.1(±1.0) 88.9(±0.9) 73.2(±1.8) 56.8(±2.2) 69.9(±1.9) 51.8(±2.1) 71.5(±1.3) 54.3(±1.5)

Guam 81.8(±6.6) 79.2(±7.1) 75.0(±7.3) 52.0(±12.3) 33.3(±11.8) 45.9(±12.4) 35.9(±12.1) 48.8(±8.8) 34.6(±8.5)

Puerto Rico 79.1(±5.8) 78.7(±5.8) 73.2(±6.3) 60.5(±10.0) 45.2(±10.0) 65.8(±9.5) 42.6(±10.0) 63.3(±6.9) 43.8(±7.1)

* 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 2019 NIS-Teen were born between January 2001 and January 2007. Vaccination coverage estimates include only adolescents who had adequate providerreported 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 

237

Appendix F: Vaccine Type Codes

Table F.1: Vaccine Type Codes, National Immunization Survey - Teen, 2019 

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 

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) 

HP Human Papillomavirus, unknown subtype 

MM Measles-containing, unknown subtype 
Vaccine Type Codes APPENDIX F 

238

Vaccine Code Description

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, 2006-2019 APPENDIX G 

 239

Appendix G: Trends in the NIS-Teen Response Rates and 

Vaccination Coverage Rates, 2006-2019 

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, 2006-2019 APPENDIX G 

 240

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, 2006-2019 APPENDIX G 

 241

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

Survey Year, National Immunization Survey - Teen, 2011-2019†

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 

* 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. 

§ Cell-phone sample was added to the NIS-Teen in 2011.
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2019 APPENDIX G 

 242

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

Collection by Survey Year, National Immunization Survey - Teen, 2011-2019* 

* Excludes U.S. territories. 

Figure G.2 presents a graphical representation of the data contained in Table G.2. It shows how selected 

key indicators from cell-phone sample household and provider data collection performed from 2011 to 

present. Note that these data apply to the cell-phone sample only. Cell-phone sample was added to the 

NIS in 2011. 

0

10

20

30

40

50

60

70

80

90

100

2011 2012 2013 2014 2015 2016 2017 2018 2019

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, 2006-2019 APPENDIX G 

 243

Table G.3: CASRO Response Rate for the Combined Landline and Cell-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. 

† Cell-phone sample was added to the NIS-Teen in 2011. The NIS-Teen transitioned from a dual-frame landline and cell-phone 

RDD sample design to a single-frame cell phone RDD sample design beginning in 2018.

Figure G.3: Trend in CASRO Response Rate for the Combined Landline and Cell-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 cell phone), 

the number of eligible households was estimated using the CASRO assumptions; these assumptions are 

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, 2006-2019 APPENDIX G 

 244

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, 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 cell-phone sample (using CASRO assumptions). Table G.3 presents the CASRO 

response rate calculated in this way for the combined landline and cell-phone samples, by survey year, 

and Figure G.3 presents a graphical representation. Because the CASRO response rate is lower for the 

cell-phone sample than for the landline sample, the CASRO response rate for the combined landline and 

cell-phone samples was lower in years with a larger cell-phone sample and higher in years with a smaller 

cell-phone sample. 
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2019 APPENDIX G 

 245

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

Immunization Survey - Teen, 2006-2019* 

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 89.3 87.9 59.8 34.1

2009 76.2 55.6 53.6 89.1 89.9 52.7 48.6

2010 81.2 68.7 62.6 90.4 91.6 44.7 58.1

2011§§§ 85.3 78.2 70.5 91.1 92.3 36.6 68.3

2012 88.5 84.6 74.0 91.4 92.8 30.6 74.9

2013 89.1 86.0 77.8 91.8 93.2 25.4 78.5

2014¶¶¶ 89.8 87.6 79.3 90.7 91.4 21.0 81.0

2015 89.6 86.4 81.3 90.7 91.1 17.8 86.1

2016 90.6 88.0 82.2 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

* 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.

** ≥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 cell-phone) estimates. From 2018 onward, 

estimates are single-frame, cell-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, 2006-2019 APPENDIX G 

 246

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, 2006-2019* 

 

* 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 

cell-phone) estimates, and from 2018 onward estimates are single-frame, cell-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 2019. Note 

that these data apply to the landline sample only from 2006-2010, to the dual-frame sample from 2011-

2017, and to the cell-phone only sample from 2018 forward. 
Key NIS-Teen Response Rates by Area APPENDIX H 

 247

Appendix H: Key NIS-Teen Response Rates by Area

Table H.1: Key Indicators* for the Cell-Phone Sample by Estimation Area, National 

Immunization Survey - Teen, 2019 

Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Children with 

Adequate Provider 

Data (%)

U.S. National† 34.9 78.9 71.5 19.7 44.0

Alabama 39.4 81.4 70.4 22.6 40.5

Alaska 61.1 82.2 75.3 37.9 54.7

Arizona 32.4 82.4 70.0 18.7 42.4

Arkansas 44.5 81.4 69.4 25.2 48.2

California 31.2 81.6 65.0 16.5 39.9

Colorado 30.2 84.1 74.2 18.9 39.9

Connecticut 25.1 80.5 70.8 14.3 44.8

Delaware 31.0 68.3 69.6 14.7 48.5

District of Columbia 27.3 70.5 73.4 14.1 33.9

Florida 29.1 78.5 72.5 16.6 38.9

Georgia 34.3 81.4 65.1 18.2 42.5

Hawaii 29.8 74.4 69.9 15.5 44.6

Idaho 32.3 82.0 76.0 20.2 48.7

Illinois 37.2 81.8 68.5 20.8 42.0

 IL-City of Chicago 37.1 80.1 68.5 20.3 39.7

 IL-Rest of State 37.3 83.0 68.4 21.2 42.9

Indiana 35.6 82.7 71.6 21.1 45.1

Iowa 43.1 85.7 72.6 26.8 53.2

Kansas 32.8 82.7 75.6 20.5 54.0

Kentucky 41.3 82.3 73.9 25.1 47.1

Louisiana 38.7 80.9 72.6 22.7 40.6

Maine 37.8 77.6 79.0 23.2 47.3

Maryland 29.5 76.1 74.1 16.6 42.7

Massachusetts 28.2 83.5 71.3 16.8 47.8

Michigan 34.5 84.0 70.6 20.4 42.6

Minnesota 33.0 84.9 71.0 19.9 43.7

Mississippi 42.2 77.1 68.1 22.2 41.7

Missouri 35.5 83.4 74.6 22.1 40.6

Montana 44.3 82.9 77.7 28.5 50.0

Nebraska 30.5 83.4 74.6 19.0 47.2

Nevada 30.4 79.1 68.6 16.5 40.0
Key NIS-Teen Response Rates by Area APPENDIX H 

 248

Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Children with 

Adequate Provider 

Data (%)

New Hampshire 34.0 74.7 73.8 18.7 47.6

New Jersey 29.8 80.0 64.1 15.3 37.4

New Mexico 38.7 80.3 73.0 22.7 43.4

New York 27.6 79.5 66.2 14.5 40.0

 NY-City of New York 26.1 77.9 64.2 13.0 39.0

 NY-Rest of State 30.3 82.9 70.2 17.7 41.2

North Carolina 32.3 82.7 69.1 18.4 42.5

North Dakota 51.8 78.0 74.9 30.3 50.9

Ohio 33.4 83.7 72.7 20.3 44.9

Oklahoma 43.0 81.6 74.2 26.0 46.5

Oregon 30.7 85.2 76.3 20.0 47.9

Pennsylvania 30.8 77.2 69.1 16.5 41.9

 PA-Philadelphia County 30.8 76.7 68.8 16.2 36.8

 PA-Rest of State 31.9 84.6 72.5 19.6 45.0

Rhode Island 28.3 71.2 73.3 14.8 50.3

South Carolina 34.7 81.9 71.1 20.2 42.6

South Dakota 46.9 79.3 79.1 29.4 49.6

Tennessee 34.5 82.6 67.5 19.2 44.3

Texas 32.0 79.8 68.2 17.4 39.4

 TX-Bexar County 37.2 79.4 70.2 20.7 43.3

 TX-City of Houston 29.6 80.1 65.9 15.6 40.3

 TX-Dallas County 29.6 79.6 67.8 15.9 35.0

 TX-El Paso County 31.9 80.6 69.5 17.9 47.7

 TX-Rest of State 38.7 81.5 69.9 22.1 37.4

Utah 30.3 81.4 76.8 19.0 51.7

Vermont 37.0 71.1 74.2 19.5 50.2

Virginia 27.3 85.3 67.6 15.7 40.6

Washington 29.3 81.8 79.0 19.0 46.2

West Virginia 37.9 74.6 72.7 20.5 43.3

Wisconsin 39.1 85.2 75.2 25.1 47.3

Wyoming 65.4 73.6 76.0 36.6 52.9

Puerto Rico 49.3 86.0 64.1 27.2 25.9

U.S. Virgin Islands 64.7 85.0 64.3 35.4 42.8

Guam 52.3 70.2 55.6 20.4 47.0

* For the definition of the key indicators see Table 1.

† Excludes U.S. territories.