National Immunization Survey-Teen

A User’s Guide for the 2018

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

January 2020
Data User’s Guide for the 2018 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 – Michael Chen, Laurie D. Elam-Evans,

James A. Singleton, and Tanja Y. Walker.

NORC at the University of Chicago – Rachel Bavley, Benjamin Skalland, Xian Tao, and Kirk Wolter. 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page ii

Table of Contents

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

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

2. Sample Design .................................................................................................................................... 7

2.1. The NIS-Teen RDD Telephone Survey ...................................................................................... 7

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

2.3. Summary of Data Collection ...................................................................................................... 9

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 ..................................... 36

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

7.2.2. Household-Reported Meningococcal Vaccine Variables............................................ 37

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 .............. 39

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

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

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

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

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

7.9. Section 9: Provider-Reported Age-At-Vaccination Variables.................................................. 46

7.10. Section 10: Health Insurance Module Variables ...................................................................... 47

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........................................................................................................................................ 70

12. Citations for NIS-Teen Data ........................................................................................................... 71

13. References......................................................................................................................................... 82
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Appendices

Appendix A: Glossary of Abbreviations and Terms ................................................................................... 86

Appendix B: Summary Statistics for Sampling Weights by Estimation Area............................................ 88

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................................................................................................................................... 92

Appendix D: Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files......................... 125

Appendix E: Summary Tables .................................................................................................................. 212

Appendix F: Vaccine Type Codes............................................................................................................ 222

Appendix G: Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2018 .... 224

Appendix H: Key NIS-Teen Response Rates by Area.............................................................................. 234
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List of Tables and Figures 

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

Teen, 2018 ...............................................................................................................................12

Table 2: Content of the Household Interview, National Immunization Survey – Teen, 2018 .............. 15

Table 3: Vaccine Categories and Vaccine Types, National Immunization Survey - Teen, 2018 .......... 46

Table 4: Summary of Weights and Stratum Variables, National Immunization Survey - Teen, 2018.. 51

Table 5: Cross-Walk Between ESTIAPT08-ESTIAPT18 and Common Denominator Estimation Area 

(CDIAP), National Immunization Survey - Teen, 2018 .......................................................... 58

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, 2018 ................................................................................................................ 68

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

Immunization Survey - Teen, 2018 ......................................................................................... 88

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

Immunization Survey - Teen, 2018 ......................................................................................... 90

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

Survey - Teen, 2008-2018 ..................................................................................................... 125

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, 2018 ............................................ 212

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

National Immunization Survey - Teen, 2018 ........................................................................ 214

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

Immunization Survey - Teen, 2018 ....................................................................................... 215

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

Immunization Survey - Teen, 2018 ....................................................................................... 216

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

Immunization Survey - Teen, 2018 ....................................................................................... 217

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

Immunization Survey - Teen, 2018 ....................................................................................... 218

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, 

2018 ....................................................................................................................................... 219

Table F.1: Vaccine Type Codes, National Immunization Survey - Teen, 2018 ..................................... 222
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Table G.1: Key Indicators from Landline Sample Household and Provider Data Collection by Survey 

Year, National Immunization Survey - Teen, 2006-2017 ..................................................... 224

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

Survey Year, National Immunization Survey - Teen, 2006-2017 ......................................... 225

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

Year, National Immunization Survey - Teen, 2011-2018 ..................................................... 226

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

by Survey Year, National Immunization Survey - Teen, 2011-2018 .................................... 226

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

National Immunization Survey - Teen, 2011-2017 ............................................................... 227

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 ......................................... 228

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

Survey Year, National Immunization Survey - Teen, 2006-2018 ......................................... 230

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, 2006-2018 ......................... 232

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

Survey - Teen, 2018 .............................................................................................................. 234

 
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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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Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 1 

1. Introduction 

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

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

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

vaccination coverage and occurrences of disease. 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.

2018). 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 2018 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 2018 NIS-Teen, there are 59 geographic strata for which vaccine coverage 

levels can be estimated, including 7 local areas; the remaining 52 are either an entire state, the District of 

Columbia, a territory (Guam), or a “rest of state” area. This design makes it possible to produce annual 

estimates of vaccination coverage levels within each of the 59 estimation areas with a specified degree of 

precision (a coefficient of variation of approximately 6.5%). Further, by using the same data collection 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 3 

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 2018, the 

NIS-Teen included three additional estimation areas: Hidalgo County, TX; Tarrant County, TX; 

and Guam. As noted throughout this report, several of the sampling, data collection, and estimation 

procedures differed for Guam when compared to the rest of the United States.

Data for Guam are not included in the 2018 public-use data file to protect respondent confidentiality, as 

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

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

guidelines for developing a proposal are located at the following URL: www.cdc.gov/rdc. Data for the 

U.S. Virgin Islands and Puerto Rico are not available for 2018, as data collection did not occur in 

these areas due to hurricane damage sustained the previous year.

In 2018, 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 2% in 2018 (Blumberg and Luke 2019) – the landline sample was dropped 

beginning in 2018, and the 2018 NIS-Teen used only a cell-phone sample. Data from the 2016 and 
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2017 NIS-Teen, which included both a landline and a cell-phone sample, were used to evaluate the 

impact of removing the landline sample on estimates of vaccination coverage (Nguyen et al. 2019). 

Dropping the landline sample did not change any of the national vaccination coverage estimates in 

2016 and changed only 3 of the 15 vaccination measures examined among adolescents 13-17 years 

in 2017. At the state level, the median difference between single-frame and dual-frame design 

estimates of vaccination coverage was 0.5 in 2016 and 0.3 in 2017 for ≥1 dose HPV vaccination, -0.3 

in 2016 and 0.1 in 2017 for ≥1 dose MenACWY, and -0.3 in 2016 and -0.1 in 2017 for ≥1 dose Tdap. 

For the 2018 NIS-Teen, household interviews began on January 11, 2018 and ended on January 31, 

2019. Provider data collection extended from February 2018 through April 2019. A total sample

(including sample from Guam) of approximately 15.5 million telephone numbers yielded household 

interviews for 39,268 teens, 19,009 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 2018 NIS-Teen public-use data file (which does not 

include data for Guam) contains data for 38,706 teens with completed household interviews, and 

more extensive data (e.g., provider-reported vaccination histories and facility data) for 18,700 teens 

with adequate provider data (including 133 unvaccinated teens). Data were collected in Guam in 

2018, although children in this area are not included on the public-use data file in order to protect 

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 2018 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 5 

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). 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 2018 NIS-Teen public-use 

data file, and Section 8 provides guidance for their use. 

Vaccination coverage estimates for 2018 are available on the TeenVaxView website,

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

The accompanying codebook (NCIRD 2020) documents the contents of the 2018 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 2018 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 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 6 

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 2018 NIS-Teen Public-Use Data File Page 7 

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 2018. Table E.1 (in Appendix E) lists the estimation areas for 

the 2018 NIS-Teen by state and shows the estimated number of teens living in each state and estimation

area in 2018.

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. Prior to 2011, the NIS-Child used a single-frame landline 

RDD sample design. In 2011, a cell-phone sample was added, and from 2011-2017, the NIS-Child used a 

dual-frame landline and cell-phone RDD sample design. In 2018, the landline sample was dropped, and 

the NIS-Child now uses a single-frame cell-phone RDD sample design. 

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%.
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 8 

In 2018, including Guam sample, 48.4% of teens with a completed household interview were 

determined to have adequate provider data. Excluding Guam, this proportions was 48.3%. The 

percentage of teens with adequate provider data varies among the non-territory estimation areas 

(from 39.4% in New York City to 58.7% in Vermont). 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 (136 in 2018, 

including Guam).

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, 

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 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 9 

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 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 2018 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 2018 

data collection were born between January 2000 and January 2006.
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The total cell-phone RDD sample (in replicates that were released for use) consisted of 15,245,878 

telephone numbers. Of these, 48,756 were eliminated before release to the telephone centers as 

numbers on the NIS do-not-call list, and the remaining 15,197,122 were sent to the telephone 

centers to be dialed. A total of 1,067,896 active personal cell-phone numbers (APCNs) were 

identified as shown in Row F. Among the identified APCNs, 845,263 (79.2%) were successfully 

screened. Of these, 53,974 (6.4%) 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, 38,834 (71.9%) 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 2018, the CASRO response rate (Row J) 

was 23.3%. The NIS-Teen CASRO response rate equals the product of the resolution rate (40.9%, 

Row E), the screening completion rate (79.2%, Row G), and the interview completion rate among 

eligible households (71.9%, 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 

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 38,706 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 – 58.2% in 2018. The number of 
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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, 30,536 (92.5%, Row N) were returned. Among the 

teens with completed household interviews, 18,700 (48.3%, Row O) had adequate vaccination 

histories based on provider reporting (18,567) or were determined to be unvaccinated (133). The 

other 51.7% 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 2018, data from the Health Insurance Module (HIM) were collected. Among the 38,706 teens with 

completed household interviews, 23,778 (61.4%, Row P) completed the HIM.

For each estimation area and each state, 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 2018 NIS-Teen Public-Use Data File Page 12 

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

Survey – Teen, 2018 

Row Key Indicator 

 

 Cell-Phone Sample Formula

Number Percent 

Household Phase

A Total Selected Telephone Numbers in Released Replicates 15,245,878 -- -- 

B Phone Numbers Resolved before Computer-Assisted Telephone Interviewing 48,756 0.3% B/A 

C Total Phone Numbers Released to Telephone Centers 15,197,122 -- A-B 

D Advance Letters Mailed 0 0.0% D/C

E Resolved Phone Numbers1 – Resolution Rate 6,234,599 40.9% E/A

F Households Identified – APCN Rate2 1,067,896 17.1% F/E

G Households Successfully Screened3 – Screener Completion Rate 845,263 79.2% G/F

H Eligible Households – Eligibility Rate4 53,974 6.4% H/G

I Households with Completed Household Interviews – Interview Completion Rate 38,834 71.9% I/H 

J CASRO5 Response Rate6 -- 23.3% -- 

K Age-Eligible Teens with Completed Household Interviews7 38,706 -- -- 

Provider Phase

L Teens with Consent to Contact Vaccination Providers 22,537 58.2% L/K

M Immunization History Questionnaires Mailed to Providers 33,015 -- -- 

N Immunization History Questionnaires Returned from Providers 30,536 92.5% N/M

O Teens with Adequate Provider Data

18,700

(includes 133 

unvaccinated 

teens)

48.3% O/K

Modules

P Age-Eligible Teens with Completed Household Interview and Completed 

Health Insurance Module 23,778 61.4% 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 an ineligible best date of birth.
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 13 

2.4. Informed Consent, Security, and Confidentiality of Information

The advance letter, 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 2018 NIS-Teen Public-Use Data File Page 14 

3. Content of NIS-Teen Questionnaires 

This section describes the questionnaires used in the 2018 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 2018 NIS-Teen Public-Use Data File Page 15 

“callback” is scheduled for a later date. For cell-phone sample, 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 minoronly cell phone).

Table 2: Content of the Household Interview, National Immunization Survey – Teen, 2018 

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 2018 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 2018 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 2018 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 2018 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 2018 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 2018 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 2018 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) 

all identified 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 2018 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 use in estimation. 

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

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

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

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

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

below, the PDAT2 variable identifies the teens with adequate provider data (PDAT2=1). These teens
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 24 

have a separate weight (PROVWT_C), 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 2018 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 2018 managed 

over 230 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 2018 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 

at least one provider-phase sampling weight. In 2018, the single-frame cell-phone RDD-phase sampling 

weight variable for producing estimates for teens with completed household interviews is called 

RDDWT_C. The single-frame cell-phone provider-phase sampling weight variable for producing 

estimates for teens with adequate provider data is called PROVWT_C. 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 

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

adjustment. 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 27 

6.1. Base Sampling Weight

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

sampling weight. For all four quarters, the base sampling weight is equal to the total number of telephone 

numbers in the sampling frame for the estimation area divided by the total of telephone numbers that were 

randomly sampled from that sampling frame and released for interview during that quarter. 

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 nonresponse. Each of these adjustments is carried out within each estimation area by forming weighting cells 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 28 

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 

assured of having 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 

the cells have a deficient number of responding cases. Once the adjustment cells are formed, the weights 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 29 

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 2018 NIS-Teen are derived from a combination of 2017 census population 

estimates and the combined 2015, 2016, and 2017 one-year American Community Survey (ACS) data for 

the United States, with adjustments for mortality, foreign immigration, and migration between states to 

produce population totals as of July 1, 2018. For Guam, the control totals are derived from the 2010 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 30 

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. 

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

(RDDWT_C). 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 31 

6.7. Adjustment for Provider Non-Response

Among the 38,706 teens with a completed household interview (excluding Guam), 18,700 (48.3%) 

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 18,700 teens with adequate 

provider data, 133 were unvaccinated teens. Failure to obtain adequate provider data for the remaining 

51.7% was attributable to: 

• parent or guardian not giving consent to contact the teen's vaccination provider(s) (41.6%);

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

history questionnaire (5.2%); 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 20,006 teens for whom a household interview was completed but adequate provider data were not 

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

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

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

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

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

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

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

associated with lower vaccination rates (Coronado et al. 2000). An adjustment is made to the RDD 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 32 

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 

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 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 33 

weights” (PROVWT_C). 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 provider-phase 

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 2018 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 2017 and 2018 NIS-Teen public-use data files:

• A new 2018 estimation area variable (ESTIAPT18) has been added and the 2017 estimation 

area variable (ESTIAPT17) has been dropped. (See Table 5.) Note that two new estimation 

areas have been added for 2018: Hidalgo County, TX is identified by ESTIAPT18=107, and 

Tarrant County, TX is identified by ESTIAPT18=109. Although data were collected for 

Guam in 2018, teens in this area are not included on the public-use data file in order to 

protect confidentiality. Data for the U.S. Virgin Islands and Puerto Rico are also not 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 35 

included on the 2018 public-use data file as data collection did not occur in these areas in 

2018. 

• In 2018, the NIS switched from a dual-frame landline and cell-phone RDD sample design to 

a single-frame cell-phone RDD sample design. With the removal of the landline sample, 

dual-frame landline and cell-phone combined weights are no longer produced, and instead 

only single-frame cell-phone sample weights are created. Consequently, the previous dualframe weight variables RDDWT_D and PROVWT_D have been dropped, and replaced 

with single-frame cell-phone weight variables RDDWT_C and PROVWT_C. 

• A new variable WELLCHILD has been added which indicates whether each teen had an 

11-12 year old well child exam or check-up based on provider reporting at IHQ Question 4 

across all returned IHQs for the teen.

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

approximately 140 adolescents, we determined the NIS-Teen provider-reported vaccination 

data for certain vaccines to be incomplete. 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) have been dropped from the 2018 NISTeen public-use data file (see Appendix D for a complete list of such variables), while 

variables derived using data for vaccines that were unaffected by this issue (Td/Tdap, 

Meningococcal, and HPV) have been retained. 

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 and PROVWT_C are the final 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 36 

household- and provider-phase weights, respectively. PROVWT_C 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. 

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 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 37 

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 

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). 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 38 

All respondents reporting that the teen received fewer than three HPV vaccinations in total 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.

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).
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 39 

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

indicate which variables have been collapsed or recoded. 

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 <= 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 40 

$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.

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 ESTIAPT18 and STATE give the 2018 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. 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 41 

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. 

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);
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 42 

● 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 

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 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 43 

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. 

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 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 44 

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 2018 NIS-Teen public-use data file. Due to an error in reporting vaccination 

histories by one respondent provider covering approximately 140 adolescents, we determined the 

NIS-Teen provider-reported vaccination data for certain vaccines (Hep A, Hep B, Varicella, 

Measles, Pneumoccocal, and Influenza) to be incomplete. Provider-reported data for these vaccines 

are not included on the 2018 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 

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.
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 45 

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 

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 2018 NIS-Teen Public-Use Data File Page 46 

Table 3: Vaccine Categories and Vaccine Types, National Immunization Survey - Teen, 2018 

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

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

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 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 47 

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 

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?”;
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 48 

• 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 

(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. 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 49 

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 2018 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. 

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 (ESTIAPT18 and STATE) as well as a stratum identifier, STRATUM. The sample 

is stratified by a combination of the sample frame (as of 2018, all sample is from the cell-phone sample 

frame) and the 59 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 2018 NIS-Teen public-use data file contains two teen-level weights. The RDDWT_C variable gives 

the household-phase weight for all teens in the United States. 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 non-telephone and landline-only teens. The weight variable PROVWT_C applies to teens

with adequate provider data. These weights should be used to form estimates of vaccination coverage

using variables from Sections 7, 8, and 9 of the public-use data file (see Section 7 of this user's guide). 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 51 

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,

2018 

Weight Variable Population* Sample Frame Strata Stratum 

Variable 

RDDWT_C United States excluding 

territories

Single Frame 

Cell-Phone 

Sample Frame 

by Estimation 

Area

STRATUM

PROVWT_C 

United States excluding 

territories, teens with 

adequate provider data

Single Frame 

Cell-Phone 

Sample Frame 

by 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). To summarize the statistical 

methodology by which vaccination coverage rates and their standard errors are obtained from these data, 

let Yhi be an indicator, for the ith teen with adequate provider data in the hth stratum of the NIS-Teen

sampling design, equal to 1 if the teen is up-to-date according to the provider data and 0 otherwise. Also, 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 52 

let Whi denote the value of PROVWT_C for this teen. Then, letting and , the 

national estimator of the vaccination coverage rate may be expressed as

where L denotes the number of strata, and nh denotes the number of sampled teens with adequate 

provider data in the hth stratum.

Letting L instead denote the number of strata in a state, the above formula can also be used to calculate 

vaccination coverage rates for states (regardless of whether the state contains only one or more than one 

stratum). 

8.2.2. Estimating Standard Errors of Vaccination Coverage Rates 

The Taylor series method can be used to estimate the sampling variance of vaccination coverage rates for 

the U.S., the states, and estimation areas. Letting and

yields an estimator of the variance of the estimated vaccination coverage rate, , equal to

. 

The standard error is the square root of the variance. The estimation of standard errors for estimates of 

vaccination coverage rates in the NIS-Teen can be implemented in specialized statistical software such as 

SUDAAN (Research Triangle Institute 2008), SAS (SAS Institute Inc. 2009), R (Lumley 2010), and Stata 

(Stata Corporation 2009). Appendix C gives several examples of the use of SAS, R, and SUDAAN to 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 53 

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 2018 NIS-Teen public-use data file, eleven years of public-use NIS-Teen data are now 

available. The precision of estimates of vaccination coverage for sub-domains (e.g., by race/ethnicity of 

teen) within estimation areas or states can be improved by combining multiple years of NIS-Teen data.

Data users should, however, be aware that estimates from combined years of NIS-Teen data represent an 

average over multiple years. Although combining multiple years of NIS-Teen data will yield a larger 

sample size for estimation areas and states, the composition of the population in a geographic area may 

change over time, making interpretation of the results difficult. Furthermore, if vaccination administration 

schedules or vaccination coverage changes over time, the estimate of vaccination coverage for the 

combined time period applies to a hypothetical population that existed at the middle of the time period, 

making interpretation of the results even more difficult. Given the use of independent RDD samples in the 

NIS-Teen, it is also possible that a teen could appear in more than one public-use data file. Finally, given 

the change to the definition of adequate provider data in 2014 and its effect on NIS-Teen vaccination 

coverage rate estimates as described in the introduction, users should exercise caution when interpreting 

results from a combination of years prior to 2014 with years 2014 and later. 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 54 

To estimate a multi-year mean for a given NIS-Teen variable, the weights in each participating file 

(RDD-phase weights RDDWT in 2008-2011, RDDWT_D in 2012-2017, and RDDWT_C in 2018; and 

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

2018) should be divided by the number of years being combined. For example, if data for 2016, 2017, and 

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

PROVWT_D in 2016 and 2017, and PROVWT_C in 2018 – 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., 2018).

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 2011-2018 are defined by the 

variables STRATUM_D (for 2011), and STRATUM (for 2012-2018), with STRATUM_D and 

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, and ESTIAPT18 define mutually exclusive and 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 55 

exhaustive geographic areas. However, they are not exactly the same areas. For example, Dallas County, 

TX, was a separate estimation area in 2011 and 2016 but not in 2012-2015 and 2018. Tarrant 

County, TX, was a separate estimation area in 2018, but not in 2011-2017. 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 2012-2018 public-use data files 

ii. Compute and save the new, common weight variable, NEWWT, as instructed above for each year 

participating in the analysis.

iii. Compute and save the new, unique teen identification numbers, YRSEQT, as instructed above for 

each year participating in the analysis.

iv. Compute and save a variable defining the common estimation domains to be studied for each year 

participating in the analysis. For example, one could use the CDIAP (Common Denominator 

Estimation Area) variable set forth in Table 5 or states as geographic domains.

v. Merge the multiple files into one consolidated file in a format compatible with the specialized 

software to be used. 

vi. Sort the consolidated file by YEAR, STRATUMV, and YRSEQT. 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 56 

vii. Run the specialized software on the consolidated file, computing estimates, variance estimates, and 

confidence intervals. For SUDAAN users, sampling levels or stages may be specified by the 

statement

NEST YEAR STRATUMV YRSEQT / PSULEV = 3;

the specification of weights by 

WEIGHT NEWWT;

and the specification of estimation domains, for example, by the two statements 

CLASS YEAR CDIAP STATE;

TABLES CDIAP; 

or 

CLASS YEAR CDIAP STATE;

TABLES STATE;

8.3.2. Estimation of Multi-Year Contrasts

Considerations similar to those for multi-year means arise in the estimation of contrasts between NISTeen years. For example, a typical contrast of interest would be the difference between the vaccination

coverage parameters in 2017 and in 2018. As when combining multiple years of NIS-Teen data to 

estimate multi-year means, users should exercise caution when combining multiple years of data to 

estimate multi-year contrasts. The composition of the population in a geographic area may change over 

time, and it is possible that a teen could appear in more than one public-use data file. Furthermore, given 

the change in the definition of adequate provider data in 2014, users should be aware that NIS-Teen 

vaccination coverage estimates from 2014 and later, which use the revised definition, are not directly 

comparable to those from NIS-Teen 2013 and prior, which used the previous adequate provider data 

definition.

To make inferences concerning a multi-year contrast, the user will need to work with the original weights 

reported on the files and store them in a common variable. One must not divide the original weights by 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 57 

the number of years included in the contrast. For the example, one may define the new, common weight 

variable as

NEWWT2 = PROVWT, if the teen is in the 2011 public-use data file

= PROVWT_D, if the teen is in the 2012-2017 public-use data files 

= PROVWT_C, if the teen is in the 2018 public-use data file. 

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 2017 to the 2018 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 2018 NIS-Teen Public-Use Data File Page 58 

Table 5: Cross-Walk Between ESTIAPT08-ESTIAPT18 and Common Denominator Estimation Area (CDIAP), National 

Immunization Survey - Teen, 2018 

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) 

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

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

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

46 Arkansas 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 CA-Rest of State 68 68 68 68 68 68 68 68 68 68 68

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

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

13 Delaware 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

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

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

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

75 Idaho 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

34 IL-Rest of State 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 IN-Marion County 36 37 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

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

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

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

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

4 Maine 4 4 4 4 4 4 4 4 4 4 4 
Data User’s Guide for the 2018 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) 

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

2 Massachusetts 2 2 2 2 2 2 2 2 2 2 2 

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

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

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

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

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

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

73 Nevada 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 

8 New Jersey 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

New York

11 NY-City of New York 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

29 North Carolina 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

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

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

76 Oregon 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

16 PA-Rest of State 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 

30 South Carolina 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

31 Tennessee 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
Data User’s Guide for the 2018 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) 

54 TX-City of Houston 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

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

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

51 TX-Travis County 51 51 51 51 51 51 51 51 51 108 51

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

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

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

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

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

77 Washington 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

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

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

- Puerto Rico - - - - - - 106 106 106 - - 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 61 

9. Summary Tables

Appendix E contains seven tables. Appendix Table E.1 lists the 59 estimation areas for the 2018 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 2018 and (from 2018 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 2018 NIS-Teen public-use data file. 

Appendix F shows the vaccine type codes used in the 2018 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 2018 NIS-Teen.
Data User’s Guide for the 2018 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 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), 

An assessment based on 2018 NIS-Teen data was conducted in 2019, with results summarized in 

this report.

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

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

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

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

weights that have not been adjusted for nonresponse or calibrated to external population totals, 

demographic distributions as estimated in the NIS-Child were generally close to the population 

distributions. Before calibration, the NIS-Teen somewhat under-represented non-Hispanic Black-
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 63 

only adolescents, and overestimated adolescents whose mothers are college graduates or are age 45 

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

demographic differences between survey and population narrowed, but the 2018 NIS-Teen still 

over-represented adolescents whose mothers are college graduates (41.7% in survey, 32.9% in 

population) or are age 45 or greater (48.7% in survey, 44.6% 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). The IISAR is an annual assessment sponsored and conducted by 

NCIRD of Immunization Information Systems (IIS)2 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 and web-based questionnaire asking for demographic and immunization information, 

public and private provider site participation levels, and information about fulfillment of IIS 

functional standards. NCIRD provides competitive supplemental funds to awardees that have 

achieved consistently high standards. During the period 2013-2017 six awardees have been 

recognized as sentinel sites, including Michigan, Minnesota, North Dakota, New York City, Oregon, 

and Wisconsin. Because of the higher standards they achieve, vaccination coverage rates reported 

in IISAR by sentinel 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 six sentinel sites, reasonably good agreement was observed between 

 

2 State IIS’s 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’s vary in their completeness 

of both children and the doses they received.
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 64 

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

coverage rate in 2017 ranging from about -7 to -2 percentage points for ≥1 Tdap across the sentinel 

sites of Minnesota, North Carolina, Wisconsin, and Michigan.3 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 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.

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 (43.3% in 2017, 41.9% in 2018) were higher than the corresponding 

benchmark estimates (34.7% (NHIS), 38.9% (CPS), and 36.5% (ACS) in 2017; 35.2% (NHIS) and 

35.3% (CPS) in 2018), and the NIS-Teen estimates of uninsured adolescents (4.3% in 2017, 4.5% in 

2018) were lower than the estimates from the benchmark surveys (7.9% (NHIS), 5.0% (CPS), and 

5.6 % (ACS) in 2017; 8.2% (NHIS) and 6.3% (CPS) in 2018). 

 

3 The IISAR vaccination coverage rate for ≥1 Tdap for the other two sentinel sites, New York City and Oregon, was 

reported to be over 100%.
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 65 

Comparison to State Immunization Surveys. A comparison of NIS-Teen vaccination coverage rate 

estimates to estimates from the Georgia Adolescent Immunization Survey (GIS) and the Kansas 

Behavioral Risk Factor Surveillance Survey (KIS) was undertaken. GIS and NIS-Teen, and KIS 

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 KIS. 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 KIS, to 

incomplete reporting by the parental respondents in the KIS. 

Next, an assessment of all sources of error in the 2018 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 2017 NIS-Teen

and 2018 NIS-Teen was also estimated. 

Coverage Error. The NIS-Teen cell-phone RDD sampling frame fails to cover only 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 

population covered by the sampling-frame were found to be slightly higher than the vaccination 

rates in the uncovered 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 less than about 0.5 percentage points for Tdap, MenACWY, and HPV. 

Nonresponse Error. Nonresponse error in the 2018 NIS-Teen was assessed through comparison to 

the cell-phone domain within the 2018 NHIS. NHIS does not offer direct estimates of vaccination 

coverage rates. Instead, a model-based technique was used to impute NHIS vaccination status, and 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 66 

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 2018 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 (-1.3 to 1.8 percentage 

points when using design weights for NIS-Teen, -0.7 to 2.2 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 in the 

adolescent’s provider-reported vaccination history. Under-reporting error can occur if the 

household respondent fails to nominate all of the adolescent’s vaccination providers, if one or more 

of the adolescent’s nominated vaccination providers fails to report a vaccination history for the 

adolescent, or if one or more of the adolescent’s nominated providers reports a vaccination history 

but fails to report all of the vaccinations the adolescent has received. Underreporting error was 

estimated using data from projects sponsored by CDC in which the 2017 NIS-Teen sample of 

adolescents in selected states was matched to the state IIS. 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 NIS-Teen vaccination coverage rate estimates for most vaccines. 

Similar conclusions were reached for the 2018 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 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 67 

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 -5.7 percentage points with a 95% credible interval of (-8.1, -2.0) 

percentage points. That is, the NIS-Teen vaccination coverage rate was on average about 5.7

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

distribution was found to be -2.1 percentage points with a 95% credible interval of (-4.7, 1.1) 

percentage points. For HPV4

, the mean of the TSE distribution was found to be –1.6 (-4.8, 1.6) 

percentage points overall, -0.9 (-5.5, 3.8) percentage points for males, and -2.2 (-6.8, 2.5) percentage 

points for females. Under-ascertainment of the provider-reported vaccination history was found to 

be the largest source of error for all vaccines except HPV for females. 

 

4 ≥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 2018 NIS-Teen Public-Use Data File Page 68 

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, 2018

Vaccine or 

Series Component

Mean TSE

(percentage

points)

95% Credible Interval

(percentage points)

1+ Tdap

TSE (final weighted) -5.7 (-8.1, -2.0)

TSE (design weighted) -6.3 (-8.7, -2.6)

Noncoverage error 0.2 (-0.3, 1.4)

Nonresponse error -1.1 (-4.3, 3.0)

Measurement error -5.3 (-7.0, -3.4)

Sampling error 0.1 (-2.0, 2.5)

1+ MenACWY

TSE (final weighted) -2.1 (-4.7, 1.1)

TSE (design weighted) -2.7 (-5.4, 0.4)

Noncoverage error 0.1 (-0.4, 0.8)

Nonresponse error 1.5 (-1.8, 5.3)

Measurement error -4.4 (-6.0, -2.5)

Sampling error 0.1 (-2.1, 2.5)

UTD for HPV*

TSE (final weighted) -1.6 (-4.8, 1.6)

TSE (design weighted) -0.6 (-3.8, 2.6)

Noncoverage error 0.4 (0.0, 0.9)

Nonresponse error 1.3 (-2.4, 5.1)

Measurement error -2.3 (-4.0, -0.7)

Sampling error 0.0 (-1.6, 1.7)

UTD for HPV* 

among females

TSE (final weighted) -0.9 (-5.5, 3.8)

TSE (design weighted) 0.5 (-4.1, 5.2)

Noncoverage error 0.2 (-0.3, 0.7)

Nonresponse error 1.9 (-3.4, 7.3)

Measurement error -1.5 (-3.8, 0.7)

Sampling error 0.1 (-2.2, 2.4)

UTD for HPV* 

among males

TSE (final weighted) -2.2 (-6.8, 2.5)

TSE (design weighted) -1.6 (-6.2, 3.1)

Noncoverage error 0.5 (-0.1, 1.2)

Nonresponse error 0.9 (-4.4, 6.4)

Measurement error -3.0 (-5.4, -0.7)

Sampling error 0.1 (-2.2, 2.4)

* ≥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 2018 NIS-Teen Public-Use Data File Page 69 

Change in Total Survey Error. Change in TSE between the 2017 and 2018 NIS-Teen was measured 

using the bridging cohort method pioneered by Yankey, Hill, Elam-Evans, et al. (2015). Each 

survey quarter includes adolescents born within 21 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 2017 and 2018, the bridging 

cohort extends from adolescents born in January 2015 through adolescents born in May 2016. 

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 2017 NIS-Teen sample and the second using the corresponding sample 

of adolescents within the 2018 NIS-Teen sample. Ideally, the two estimators should exhibit the same 

expectation. A large difference between the two estimates may signal a change in the expectation 

from one survey year to the next, which could result from a change in the distribution of samplingframe 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, of the 

differences between 2017 and 2018 in national-level vaccination coverage rate estimates for the 

bridging cohort, only the difference for HPV among females (-3.5 percentage points) was found to 

be statistically significant at the 0.05 level. The differences for ≥1 Tdap (-0.6 percentage points), ≥1 

MenACWY (0.0 percentage points), HPV among males (-0.4 percentage points), and HPV overall (-

2.0 percentage points) were not statistically significant. Overall, the results suggest there is little 

statistical evidence of a change in the expectation of total survey error between 2017 and 2018.
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 70 

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 are subject to potential bias 

that may remain after weighting adjustments because of the switch from landline to dual landline and cellphone 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 2018 NIS-Teen Public-Use Data File Page 71 

12. Citations for NIS-Teen Data 

In publications please acknowledge the original data source. The citation for the 2018 NIS-Teen publicuse data file is:

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

Respiratory Diseases. The 2018 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:

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. 

Attanasio L, McAlpine D. Accuracy of parental reports of children's HPV vaccine status: implications for 

estimates of disparities, 2009-2010. Public Health Rep 2014;129(3):237-44. 

Beachler DC, Gonzales FA, Kobrin SC, Kreimer AR. HPV vaccination initiation after the routinerecommended ages of 11–12 in the United States. Papillomavirus Research 2016;2:11-16. 

Beavis A, Krakow M, Levinson K, Rositch AF. Reasons for Lack of HPV Vaccine Initiation in NIS-Teen 

Over Time: Shifting the Focus From Gender and Sexuality to Necessity and Safety. Journal of Adolescent 

Health 2018 Nov;63(5):652-656. 

Bednarczyk RA, Curran EA, Orenstein WA, Omer SB. Health Disparities in Human Papillomavirus 

Vaccine Coverage: Trends Analysis From the National Immunization Survey–Teen, 2008–2011. Clin 

Infect Dis. 2014 Jan;58(2):238-41. 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 72 

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 2015. Epub ahead of print.

Bednarczyk RA, Orenstein WA, Omer SB. Estimating the Number of Measles-Susceptible Children and 

Adolescents in the United States Using Data From the National Immunization Survey-Teen (NIS-Teen). 

Am J Epidemiol 2016;184(2):148-56. 

Robert AB, Mallory KE, Saad BO. Human Papillomavirus Vaccination Before 13 and 15 Years of Age: 

Analysis of National Immunization Survey Teen Data. The Journal of Infectious Diseases 2019 

Sep;220(5):730–734. Available at: http://doi.org/10.1093/infdis/jiy682

Boakye EA, Tobo BB, Osazuwa-Peters N, Mohammed KA, Geneus CJ, Schootman M. A comparison of 

parent- and provider-reported human papillomavirus vaccination of adolescents. Am J Prev Med 

2017;52(6):742–752. 

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. 

Bugenske E, Stokley S, Kennedy A, Dorell C. Middle School Vaccination Requirements and Adolescent 

Vaccination Coverage. Pediatrics 2012;129(6):1056-1063. 

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. 

Burdette A, Jokinen-Gordon H, Hill T. Social Determinates of HPV Vaccination Delay: Results from the 

National Immunization Survey of Teens. In: American Public Health Association 142nd Annual Meeting 

and Exposition. New Orleans, LA; 2014. 

Cardemil CV, Cullen KA, Harris L, Greby SM, Santibanez TA. Factors Associated With Provider 

Reporting of Child and Adolescent Vaccination History to Immunization Information Systems: Results 

From the National Immunization Survey, 2006-2012. J Public Health Manag Pract 2015. 

Centers for Disease Control and Prevention. National vaccination coverage among adolescents aged 13-

17 years – United States, 2006. MMWR. 2007;56:885-8. Available at:

http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5634a3.htm 

Centers for Disease Control and Prevention. Vaccination coverage among adolescents aged 13-17 yearsUnited States, 2007. MMWR. 2008:57(40):1100-1103. Available at:

http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5740a2.htm 

Centers for Disease Control and Prevention. National, state, and local area vaccination coverage among 

adolescents aged 13-17 years – United States, 2008. MMWR. 2009;58(36):997-1001. Available at: 

http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5836a2.htm 

Centers for Disease Control and Prevention. National, State, and Local Area Vaccination Coverage 

among Adolescents Aged 13-17 years – United States, 2009. MMWR. 2010; 59 (32):1018-1023. 

Available at: http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5932a3.htm
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 73 

Centers for Disease Control and Prevention. National, State, and Local Area Vaccination Coverage 

among Adolescents Aged 13-17 years – United States, 2010. MMWR. 2011;60(33):1117-1123. Available 

at: http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6033a1.htm

Centers for Disease Control and Prevention. National, State, and Local Area Vaccination Coverage 

among Adolescents Aged 13-17 years – United States, 2011. MMWR. 2012;61(34):671-677. Available 

at: http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6134a3.htm

Centers for Disease Control and Prevention. Human Papillomavirus Vaccination Coverage Among 

Adolescent Girls, 2007-2013, and Postlicensure Vaccine Safety Monitoring, 2006–2014 – United States 

MMWR. 2013; 63(29):620-624. Available at: 

http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6329a3.htm

Centers for Disease Control and Prevention. National and State Vaccination Coverage among 

Adolescents Aged 13-17 years – United States, 2012. MMWR. 2013;62(34):685-693. Available at: 

http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6234a1.htm 

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. 

Choi Y, Eworuke E, Segal R. What explains the different rates of human papillomavirus vaccination 

among adolescent males and females in the United States? Papillomavirus Research 2016;2:46–51. 

Choi N, Curtis CR, Loharikar A, Fricchione M, Jones E, Balzer E, et al. Successful Use of Interventions 

in Combination to Improve Human Papillomavirus Vaccination Coverage Rates Among Adolescents—

Chicago, 2013 to 2015. Academic Pediatrics 2018;18(2):S21-S22. 

Cloessner EA, Stokley S, Yankey D, Markowitz LE. Timing of HPV vaccine intervals among United 

States teens with consideration to the current ACIP schedule and the WHO 2-dose schedule. Hum Vaccin 

Immunother 2016;12(6):1375-80. 

Curtis CR, Dorell C, Yankey D, Jeyarajah J, Chesson H, Saraiya M, et al. National human papillomavirus 

vaccination coverage among adolescents aged 13-17 years – National Immunization Survey - Teen, 

United States, 2011. MMWR Surveill Summ 2014;63:61-70. 

Darden PM, Thompson DM, Roberts JR, Hale JJ, Pope C, Naifeh M, Jacobson RM. Reasons for not 

vaccinating adolescents: National Immunization Survey of Teens, 2008-2010. Pediatrics. 2013. Volume 

131, issue 4, p. 645-51. Responses to article: Dorell C, Stokley S, Yankey D, Jeyarajah J, Parental 

Intentions for HPV Vaccination of their Daughters, Pediatrics published online June 13, 2013; Rohit P, 

Ojha RP, The importance of considering changes in the eligible population over time when interpreting 

human papillomavirus vaccination trends, Pediatrics published online March 23, 2013 

Dorell C, Jain N, Yankey D. Validity of Parent-Reported Vaccination Status for Adolescents Aged 13-17 

Years, National Immunization Survey-Teen, 2008. Public Health Reports 2011; 126 Suppl 2:60-69. 

Dorell C, Yankey D, Strasser S. Parent-Reported Reasons for Nonreceipt of Recommended Adolescent 

Vaccinations, National Immunization Survey: Teen, 2009. Clinical Pediatrics (Philadelphia) 2011 

Dec;50(12):1116-24. 
Data User’s Guide for the 2018 NIS-Teen Public-Use Data File Page 74 

Dorell C, Stokley S, Yankey D, Markowitz L. Compliance with Recommended Dosing Intervals for HPV 

Vaccination among Females, 13-17 Years, National Immunization Survey-Teen, 2008-2009. Vaccine. 

2012;30(3):503-505. 

Dorell C, Yankey D, Byrd K, Murphy T. Hepatitis A Vaccination Coverage among Adolescents in the 

United States. Pediatrics 2012;129(2): 213-221. 

Dorell C, Yankey D, Santibanez T, Markowitz L. Human Papillomavirus Vaccination Series Initiation 

and Completion, 2008-2009. Pediatrics 2012;128(5):830-839. 

Dorell C, Yankey D, Strasser. Parent-reported Reasons for Nonreceipt of Recommended Adolescent 

Vaccinations, National Immunization Survey-Teen, 2009. Clinical Pediatrics 2012;50(12):1116-1124. 

Dorell C, Yankey D, Kennedy A, Stokley S. Factors that influence parental vaccination decisions for 

adolescents, 13 to 17 years old: National Immunization Survey-Teen, 2010. Clin Pediatr (Phila). 

2013;52(2):162-70. 

Dorell C, Yankey D, Jeyarajah J, Stokley S, Fisher A, Markowitz L, Smith PJ. Delay and refusal of 

human papillomavirus vaccine for girls, National Immunization Survey-Teen, 2010. Clin Pediatr (Phila). 

2014 Mar;53(3):261-9. 

Elam-Evans LD, Yankey D, Jeyarajah J, Singleton JA, Curtis RC, MacNeil J, Hariri S. National, regional, 

state, and selected local area vaccination coverage among adolescents aged 13-17 years – United States, 

2013. MMWR. 2014 Jul 25;63(29):625-33. Available at: 

http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6329a4.htm

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. 

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. 

Gilkey MB, Magnus BE, Reiter PL, McRee AL, Dempsey AF, Brewer NT. The Vaccination Confidence 

Scale: a brief measure of parents' vaccination beliefs. Vaccine 2014;32(47):6259-65. 

Gilkey MB, Reiter PL, Magnus BE, McRee AL, Dempsey AF, Brewer NT. Validation of the Vaccination 

Confidence Scale: A Brief Measure to Identify Parents at Risk for Refusing Adolescent Vaccines. Acad 

Pediatr 2016;16(1):42-9. 

Gowda C, Dempsey A. Medicaid Reimbursement and the Uptake of Adolescent Vaccines. Vaccine

2012;30(9):1682-1689. 

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. 
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Henry KA, Warner EL, Ding Q, Kepka D. The Role of Geographic Factors in Human Papillomavirus 

(HPV) Vaccine Uptake Among Adolescent Girls in the United States. Cancer Epidemiol Biomarkers Prev 

2015;24(4):758. 

Henry KA, Stroup AM, Warner EL, Kepka D. Geographic Factors and Human Papillomavirus (HPV) 

Vaccination Initiation among Adolescent Girls in the United States. Cancer Epidemiol Biomarkers Prev 

2016;25(2):309-17. 

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.

Hirth J, Kuo YF, Laz TH, Starkey JM, Rupp RE, Rahman M, et al. Concordance of adolescent human 

papillomavirus vaccination parental report with provider report in the National Immunization SurveyTeen (2008-2013). Vaccine 2016. Epub ahead of print. 

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. 

Jacobson RM, Rogacki B, Thompson DM, Roberts JR, Margolis B, Darden PM. Vaccination Rates 

among Adolescents in Minnesota as Compared with the United States: Not "Above Average". Minn Med 

2015;98(11-12):38-43. 

Jain N, Hennessey K. Hepatitis B Vaccination Coverage among U.S. Adolescents, National Immunization 

Survey–Teen, 2006. Journal of Adolescent Health. 2009;44:561-7 (Epub Dec 23 2008). 

Jain N, Singleton JA, Montgomery M, Skalland B. Determining accurate vaccination coverage rates for 

adolescents: an overview of the methodology used in the National Immunization Survey-Teen 2006. 

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Jain N, Stokley S, Cohn A. Receipt of Tetanus-Containing Vaccinations among Adolescents Aged 13-17 

Years in the United States: National Immunization Survey-Teen, 2007. Clinical Therapeutics. 2010;32 

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Jemal A, Simard EP, Dorell C, Noone Am, Markowitz LE, Kohler B, Eheman C, Saraiya M, Bandi P, 

Saslow D, Cronin KA, Watson M, Schiffman M, Henley SJ, Schymura MJ, Anderson RN, Yankey D, 

Edwards BK. Annual report to the nation on the status of cancer, 1975-2009, featuring the burden and 

trends in human papillomavirus (HPV)-associated cancers and HPV vaccination coverage levels. J Natl 

Cancer Inst. 2013;105(3):175-201. 

Jeyarajah J, Elam-Evans LD, Stokley S, Smith PJ, Singleton JA. Human Papillomavirus Vaccination 

Coverage Among Girls Before 13 Years: A Birth Year Cohort Analysis of the National Immunization 

Survey-Teen, 2008-2013. Clin Pediatr (Phila) 2015. Epub ahead of print. 

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. 
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Johnson NB, Hayes LD, Brown K, Hoo EC, Ethier KA. CDC National Health Report: Leading Causes of 

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Kepka D, Ding Q, Hawkins AJ, Warner EL, Boucher KM. Factors associated with early adoption of the 

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Rep 2016;4:98-102. 

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papillomavirus vaccination rates in young cancer survivors. Journal of Clinical Oncology 

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Krakow M, Beavis A, Cosides O, Rositch AF. Characteristics of adolescents lacking providerrecommended human papillomavirus vaccination. Journal of Adolescent Health 2017;60:619-622. 

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Rural-Frontier U.S. States. Public Health Nurs 2016;33(4):283-94. 

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National, Regional, State, and Selected Local Area Vaccination Coverage Among Adolescents Aged 13–

17 Years — United States, 2017. MMWR, 67:909-917. 

Wolter, K., Smith, P., Khare, M., Welch, B., Copeland, K., Pineau, V., and Davis, N. (2017a). Statistical 

Methodology of the National Immunization Survey, 2005-2014. National Center for Health Statistics. 

Vital Health Stat 1(61): 1-96. 

Wolter, K., Pineau, V., Skalland, B., Zeng, W., Singleton, J., Khare, M., Zhao, Z., Yankey, D., and Smith, 

P. (2017b). Total survey error assessment for socio-demographic subgroups in the 2012 U.S. National 

Immunization Survey. In Biemer, P., De Leeuw, E., Edwards, B., Kreuter, F., Lyberg, L., Tucker, C., and 

West, B. (Eds.) Total Survey Error in Practice, John Wiley & Sons, Inc., Hoboken, NJ, USA. 

Zell, E.R., Ezzati-Rice, T.M., Battaglia, M.P., and Wright, R.A. (2000). National Immunization Survey: 

The methodology of a vaccination surveillance system. Public Health Reports, 115(1):65-77. 
Glossary of Abbreviations and Terms APPENDIX A 

86

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 

87

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 

88

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, 2018 

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

U.S. National† 38,706 20,795,755.17 2.62 14,705.13 537.27 153.36

Alabama 691 311,649.20 28.10 1,413.26 451.01 65.69

Alaska 705 48,072.01 16.31 212.44 68.19 61.18

Arizona 682 466,531.94 23.86 2,147.32 684.06 64.93

Arkansas 637 197,850.38 37.72 861.09 310.60 64.10

California 754 2,526,784.73 12.25 14,705.13 3,351.17 95.78

Colorado 571 360,302.96 10.39 2,118.11 631.00 78.49

Connecticut 601 226,551.51 23.12 1,047.04 376.96 61.76

Delaware 601 58,092.99 23.91 287.22 96.66 59.96

District of Columbia 647 25,276.52 2.62 131.53 39.07 91.28

Florida 788 1,194,803.86 18.76 5,494.41 1,516.25 81.53

Georgia 713 721,868.82 23.00 3,285.77 1,012.44 67.02

Hawaii 639 78,555.92 29.15 401.67 122.94 64.45

Idaho 567 127,825.06 14.36 782.76 225.44 64.29

Illinois 1,531 826,962.58 5.99 1,785.63 540.15 68.03

 IL-City of Chicago 422 144,403.64 5.99 1,152.46 342.19 85.99

 IL-Rest of State 1,109 682,558.94 21.84 1,785.63 615.47 59.25

Indiana 620 447,568.62 22.56 2,163.15 721.88 60.81

Iowa 503 203,328.75 20.05 1,198.58 404.23 59.57

Kansas 591 197,586.28 19.55 1,020.14 334.33 64.54

Kentucky 541 283,347.11 35.73 1,446.22 523.75 57.70

Louisiana 625 300,742.79 29.17 1,660.66 481.19 71.57

Maine 639 74,159.74 16.09 364.88 116.06 69.94

Maryland 920 379,952.56 21.84 1,593.09 412.99 94.81

Massachusetts 656 402,170.92 11.41 2,169.73 613.07 81.58

Michigan 627 636,562.83 29.72 2,930.09 1,015.25 64.21

Minnesota 555 363,820.65 8.57 2,228.15 655.53 81.81

Mississippi 615 201,247.85 51.82 979.28 327.23 64.42

Missouri 652 390,438.79 14.12 1,751.78 598.83 64.14

Montana 555 63,771.47 20.18 327.04 114.90 62.79

Nebraska 582 132,155.31 21.17 684.06 227.07 67.24

Nevada 789 192,414.60 28.21 699.28 243.87 59.99

New Hampshire 626 78,569.41 18.21 429.03 125.51 72.60

New Jersey 832 571,260.72 26.51 2,251.17 686.61 73.49

New Mexico 564 136,854.49 26.12 730.84 242.65 62.47

New York 1,229 1,151,626.52 16.83 4,465.96 937.04 80.02

 NY-City of New York 663 452,339.02 36.79 2,211.96 682.26 65.90

 NY-Rest of State 566 699,287.50 16.83 4,465.96 1,235.49 73.28

North Carolina 708 661,238.05 20.61 2,907.37 933.95 71.71

North Dakota 568 44,151.37 18.37 232.01 77.73 61.30

Ohio 665 745,905.40 20.56 3,456.36 1,121.66 63.28

Oklahoma 776 264,583.80 59.19 1,003.19 340.96 57.90

Oregon 557 244,775.63 18.88 1,398.53 439.45 66.48
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

89

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

Pennsylvania 1,361 765,382.59 28.04 3,522.88 562.37 139.63

 PA-Philadelphia County 520 88,504.50 33.58 516.75 170.20 66.45

 PA-Rest of State 841 676,878.10 28.04 3,522.88 804.85 113.62

Rhode Island 600 60,009.83 17.13 298.58 100.02 62.59

South Carolina 686 310,863.74 33.63 1,271.49 453.15 66.12

South Dakota 626 57,364.99 24.72 263.49 91.64 57.31

Tennessee 585 425,285.81 15.70 2,330.86 726.98 64.61

Texas 4,439 2,058,116.56 13.54 2,932.48 463.64 128.99

 TX-Bexar County 661 142,772.62 23.59 713.14 215.99 63.85

 TX-City of Houston 464 132,718.00 20.00 931.75 286.03 64.85

 TX-Hidalgo County 592 79,762.04 13.54 489.85 134.73 80.98

 TX-Tarrant County 835 155,014.44 23.81 602.65 185.65 70.92

 TX-Rest of State 1,887 1,547,849.46 58.59 2,932.48 820.27 93.67

Utah 568 256,187.00 7.16 1,620.88 451.03 69.25

Vermont 552 34,811.38 13.31 198.01 63.06 65.77

Virginia 738 524,006.56 6.55 3,886.59 710.04 152.80

Washington 571 452,137.04 13.56 2,849.47 791.83 78.13

West Virginia 672 105,500.72 18.84 452.55 157.00 59.93

Wisconsin 674 370,070.03 20.70 1,532.22 549.07 55.04

Wyoming 512 36,656.79 16.66 220.21 71.60 62.06

*Distribution of RDDWT_C. 

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

90

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

Immunization Survey - Teen, 2018 

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

U.S. National† 18,700 20,795,755.17 5.30 33,405.51 1,112.07 159.07

Alabama 327 311,649.20 57.79 3,122.83 953.06 74.57

Alaska 392 48,072.01 21.70 378.34 122.63 65.65

Arizona 288 466,531.94 58.44 4,804.65 1,619.90 66.67

Arkansas 308 197,850.38 113.41 1,853.94 642.37 69.48

California 356 2,526,784.73 48.68 33,405.51 7,097.71 97.96

Colorado 278 360,302.96 14.81 4,351.45 1,296.05 79.73

Connecticut 293 226,551.51 70.97 2,381.86 773.21 66.99

Delaware 306 58,092.99 25.55 640.33 189.85 74.64

District of Columbia 283 25,276.52 5.30 303.37 89.32 88.16

Florida 337 1,194,803.86 36.81 12,344.98 3,545.41 82.51

Georgia 345 721,868.82 60.79 6,987.95 2,092.37 73.47

Hawaii 327 78,555.92 32.30 758.45 240.23 65.63

Idaho 291 127,825.06 57.10 1,417.57 439.26 64.26

Illinois 721 826,962.58 25.31 4,193.72 1,146.97 72.12

 IL-City of Chicago 192 144,403.64 25.31 2,670.66 752.10 98.29

 IL-Rest of State 529 682,558.94 47.97 4,193.72 1,290.28 62.87

Indiana 296 447,568.62 46.02 4,514.00 1,512.06 62.05

Iowa 280 203,328.75 47.33 2,199.50 726.17 61.57

Kansas 297 197,586.28 56.32 1,966.63 665.27 64.35

Kentucky 270 283,347.11 140.54 3,045.86 1,049.43 56.32

Louisiana 284 300,742.79 113.29 3,408.33 1,058.95 75.43

Maine 317 74,159.74 22.28 728.73 233.94 73.70

Maryland 393 379,952.56 53.76 3,789.94 966.80 94.81

Massachusetts 328 402,170.92 23.23 4,428.43 1,226.13 87.38

Michigan 313 636,562.83 64.62 6,682.96 2,033.75 67.30

Minnesota 285 363,820.65 15.00 4,662.82 1,276.56 85.84

Mississippi 285 201,247.85 105.38 2,312.83 706.13 63.00

Missouri 319 390,438.79 25.21 4,080.86 1,223.95 68.56

Montana 290 63,771.47 43.98 650.31 219.90 64.09

Nebraska 295 132,155.31 41.89 1,339.87 447.98 74.80

Nevada 334 192,414.60 80.12 1,670.19 576.09 64.08

New Hampshire 303 78,569.41 47.97 919.25 259.30 78.29

New Jersey 351 571,260.72 46.68 5,730.53 1,627.52 79.59

New Mexico 295 136,854.49 38.26 1,579.92 463.91 66.31

New York 535 1,151,626.52 34.56 8,378.42 2,152.57 79.18

 NY-City of New York 261 452,339.02 83.94 5,824.22 1,733.10 74.94

 NY-Rest of State 274 699,287.50 34.56 8,378.42 2,552.14 75.85

North Carolina 341 661,238.05 27.08 6,164.03 1,939.11 77.18

North Dakota 287 44,151.37 36.07 475.56 153.84 64.29

Ohio 329 745,905.40 47.28 7,429.66 2,267.19 69.54

Oklahoma 360 264,583.80 107.98 2,352.49 734.96 63.52

Oregon 297 244,775.63 32.63 2,551.68 824.16 70.81

Pennsylvania 649 765,382.59 64.32 6,911.98 1,179.33 142.82

 PA-Philadelphia County 237 88,504.50 74.04 1,080.98 373.44 65.44

 PA-Rest of State 412 676,878.10 64.32 6,911.98 1,642.91 119.40

Rhode Island 337 60,009.83 23.11 535.23 178.07 62.14

South Carolina 318 310,863.74 98.08 3,336.53 977.56 70.26
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

91

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

South Dakota 340 57,364.99 35.85 467.19 168.72 59.19

Tennessee 284 425,285.81 46.33 4,928.08 1,497.49 71.55

Texas 2,079 2,058,116.56 18.46 6,270.60 989.96 129.94

 TX-Bexar County 298 142,772.62 56.61 1,556.49 479.10 69.41

 TX-City of Houston 186 132,718.00 61.31 2,387.09 713.54 63.97

 TX-Hidalgo County 314 79,762.04 18.46 946.41 254.02 97.45

 TX-Tarrant County 364 155,014.44 40.32 1,459.52 425.86 76.44

 TX-Rest of State 917 1,547,849.46 101.56 6,270.60 1,687.95 97.57

Utah 310 256,187.00 17.19 3,051.56 826.41 74.03

Vermont 324 34,811.38 20.87 327.57 107.44 59.70

Virginia 327 524,006.56 21.93 7,755.99 1,602.47 143.12

Washington 286 452,137.04 30.99 5,639.24 1,580.90 79.54

West Virginia 337 105,500.72 55.95 902.54 313.06 56.02

Wisconsin 332 370,070.03 44.20 3,416.23 1,114.67 56.59

Wyoming 241 36,656.79 35.49 453.95 152.10 65.52

* Distribution of PROVWT_C. 

† 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 

92

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 92 

II. SAS (SAS, 2008) Page 105 

III. ‘R’ (Lumley, 2009) Page 117 

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:\nisteenpuf18'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf18'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf18; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt18; * --- ESTIMATION AREA VARIABLE TO USE ---*;

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

excluding 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 

93

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"
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

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"

107 = "TX-Hidalgo County" 

109 = "TX-Tarrant County"

; 

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 109 2 ; 

tables &estiap. * P_UTDTD ; 

print nsum wsum rowper serow/style=nchs ; 

rtitle "1+ Td/Tdap Estimates by Estimation Area"; 

rformat &estiap. estiapf.; 

rformat P_UTDTD p_utdtdf.; 

output rowper serow/filename=sud_est filetype=sas;

run; 
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

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:\nisteenpuf18'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf18'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf18; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt18; * --- ESTIMATION AREA VARIABLE TO USE ---*;

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

excluding territories) ---*;

%let strat=stratum; * --- STRATUM VARIABLE TO USE FOR VARIANCE ESTIMATION (Use 

STRATUM for all estimates) ---*;

proc format; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR P_UTDTD. 

ORIGINAL VALUES OF P_UTDTD ARE 1,0. 

MUST BE CONVERTED TO 1,2 IN SUDAAN.

*/

value putmmrf

1='1+ Td/Tdap Up-to-Date'

2='Not 1+ Td/Tdap Up-to-Date'
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 

96

; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR STATE.

*/

value statef

0 ='U.S. Total'

1 ='Alabama '

2 ='Alaska '

4 ='Arizona '

5 ='Arkansas '

6 ='California '

8 ='Colorado '

9 ='Connecticut '

10 ='Delaware '

11 ='District of Columbia'

12 ='Florida '

13 ='Georgia '

15 ='Hawaii '

16 ='Idaho '

17 ='Illinois '

18 ='Indiana '

19 ='Iowa '

20 ='Kansas '

21 ='Kentucky '

22 ='Louisiana '

23 ='Maine '

24 ='Maryland '

25 ='Massachusetts '

26 ='Michigan '

27 ='Minnesota '

28 ='Mississippi '

29 ='Missouri '

30 ='Montana '

31 ='Nebraska '

32 ='Nevada '

33 ='New Hampshire '

34 ='New Jersey '

35 ='New Mexico '

36 ='New York '

37 ='North Carolina '

38 ='North Dakota '

39 ='Ohio '

40 ='Oklahoma '

41 ='Oregon '

42 ='Pennsylvania '

44 ='Rhode Island '

45 ='South Carolina '

46 ='South Dakota '

47 ='Tennessee '
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 

97

48 ='Texas '

49 ='Utah '

50 ='Vermont '

51 ='Virginia '

53 ='Washington '

54 ='West Virginia '

55 ='Wisconsin '

56 ='Wyoming '

; 

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 56 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 THERE ARE NO STATES WITH THESE FIPS CODES *** ;

proc print data=sud_est2(where=(P_UTDTD=1 and state notin (3,7,14,43,52))) label noobs; 

format state statef.; 

var state rowper serow ;

label

rowper='Percent 1+ Td/Tdap Up-to-Date'

serow='Standard Error'

; 

title "1+ TD/TDAP ESTIMATES BY STATE"; 

run; 

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

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

98

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:\nisteenpuf18'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf18'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf18; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt18; * --- ESTIMATION VARIABLE TO USE ---*;

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

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 '

8 ='Colorado '

9 ='Connecticut '

10 ='Delaware '

11 ='District of Columbia'
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99

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 '; 

run; 

data sud_file; 

set &in_file. (keep= SEQNUMT &estiap. STATE ASTHMA &wt. &strat.);

where ASTHMA in (1,2); *** KEEP ONLY CASES WITH NON-MISSING VALUES FOR ASTHMA 

***;

NSEQNUMT=1*SEQNUMT; *** CONVERT TEEN ID SEQNUMT FROM CHARACTER TO 

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

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100

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 56 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 THERE ARE NO STATES WITH THESE FIPS CODES *** ;

proc print data=sud_est3(where=(ASTHMA=1 and STATE notin (3,7,14,43,52))) 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

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

101

libname dd 'c:\nisteenpuf18'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf18'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

libname out 'c:\nisteenpuf18'; 

%let in_file=dd.nisteenpuf18; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt18; * --- ESTIMATION VARIABLE TO USE ---*;

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

excluding territories) ---*;

%let qtr_lab=Q1/2018 - Q4/2018; *--- 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; 

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; 
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102

*=== 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; 

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

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

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

103

END.

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

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf18'; *--- SPECIFY PATH TO SAS DATASET ---*;

%let out='c:\nisteenpuf18'; *--- 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=Q1/2018 - Q4/2018; *--- NIS-TEEN 4 QUARTER PERIOD ---*;

proc format; 

value incpvr2f

1 = "ABOVE POVERTY, > $75,000"

2 = "ABOVE POVERTY, <= $75,000"

3 = "BELOW POVERTY"

4 = "UNKNOWN"

; 

value race_kf

1 = "WHITE ONLY"

2 = "BLACK ONLY"

3 = "OTHER/MULT RACE"

; 

run; 

data sud_est4;

set &in_file.; 

format rowper 3.

RACE_K race_kf.

INCPOV1 incpvr2f.

; 

label

RACE_K = 'Race of Teen'

INCPOV1 = 'Poverty Status'

; 

filename odsout &out.; 

ods listing close; 

/* SET THE GRAPHICS ENVIRONMENT */

goptions reset=global gunit=pct border

ftext=swissb htitle=4 htext=1.5

device=gif

; 

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

run; 

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, 2018"; 

footnote j=r 'graph_4sud'; 
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104

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 

105

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:\nisteenpuf18'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf18'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf18; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt18; * --- ESTIMATION AREA VARIABLE TO USE ---*;

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

excluding 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 

106

25 = "GA"

27 = "KY"

28 = "MS"

29 = "NC"

30 = "SC"

31 = "TN"

34 = "IL-Rest of State"

35 = "IL-City of Chicago"

36 = "IN"

38 = "MI"

40 = "MN"

41 = "OH"

44 = "WI"

46 = "AR"

47 = "LA"

49 = "NM"

50 = "OK"

51 = "TX-Rest of State"

54 = "TX-City of Houston"

55 = "TX-Bexar County"

56 = "IA"

57 = "KS"

58 = "MO"

59 = "NE"

60 = "CO"

61 = "MT"

62 = "ND"

63 = "SD"

64 = "UT"

65 = "WY"

66 = "AZ"

68 = "CA"

72 = "HI"

73 = "NV"

74 = "AK"

75 = "ID"

76 = "OR"

77 = "WA"

107 = "TX-Hidalgo County" 

109 = "TX-Tarrant County"

; 

run; 

data sas_file;

set &in_file. (keep= SEQNUMT P_UTDTD &estiap. &wt. &strat.);

run; 

proc sort data = sas_file;

by &estiap.; 

run; 
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107

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:\nisteenpuf18'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf18'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf18; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt18; * --- ESTIMATION AREA VARIABLE TO USE ---*;
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108

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

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

109

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 '

; 

run; 

data sas_file;

set &in_file. (keep= SEQNUMT P_UTDTD &estiap. STATE &wt. &strat.);

run; 

proc sort data = sas_file;

by state;

run; 

title1 '1+ Td/Tdap ESTIMATES BY STATE'; 

ods output Statistics=sas_est2;

proc surveymeans data = sas_file nobs sum mean stderr;

stratum &strat.; 

cluster SEQNUMT;

weight &wt.; 

class P_UTDTD; 

var P_UTDTD; 

by STATE;

format P_UTDTD p_utdtdf.; 

format STATE statef.; 

run; 

data sas_est2;

set sas_est2;

mean = mean*100; *CONVERT TO PERCENT ESTIMATES;

stderr = stderr*100; 

run; 

proc print data=sas_est2(where=(varlevel='1+ Td/Tdap Up-To-Date')) noobs

label; 

format STATE statef.; 

format mean stderr 5.2; 

var STATE mean stderr;

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

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

110

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:\nisteenpuf18'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf18'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf18; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt18; * --- ESTIMATION VARIABLE TO USE ---*;

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

territories) ---*;

%let strat=stratum; * --- STRATUM VARIABLE TO USE FOR VARIANCE ESTIMATION (Use 

STRATUM for all estimation) ---*;

proc format; 

value asthmaf

1='Yes'

2='No'

; 

value statef

0 ='U.S. Total '

1 ='Alabama '

2 ='Alaska '

4 ='Arizona '

5 ='Arkansas '

6 ='California '

8 ='Colorado '

9 ='Connecticut '

10 ='Delaware '

11 ='District of Columbia'

12 ='Florida '

13 ='Georgia '

15 ='Hawaii '

16 ='Idaho '

17 ='Illinois '

18 ='Indiana '

19 ='Iowa '
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and Their Standard Errors, and Example of the Production of a Cross-Tabulation and Chart APPENDIX C 

111

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 ' 

; 

run; 

data sas_file;

set &in_file. (keep= SEQNUMT &estiap. STATE ASTHMA &wt. &strat.);

where ASTHMA in (1,2); *** KEEP ONLY CASES WITH NON-MISSING VALUES FOR ASTHMA 

***;

run; 

proc sort data = sas_file;

by state;

run; 

title1 'ASTHMA ESTIMATES BY STATE'; 

ods output Statistics=sas_est3;
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

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

112

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:\nisteenpuf18'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf18'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

libname out 'c:\nisteenpuf18'; *--- SPECIFY THE PATH FOR WHERE YOU WANT THE CHART 

OUTPUT TO GO ---*;

%let in_file=dd.nisteenpuf18; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt18; * --- ESTIMATION VARIABLE TO USE ---*;

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

excluding territories) ---*;
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%let strat=stratum; * --- STRATUM VARIABLE TO USE FOR VARIANCE ESTIMATION (Use 

STRATUM for all estimation) ---*;

%let qtr_lab=Q1/2018 - Q4/2018; *--- 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;

set sas_est4 (rename=(INCPOV1=INCPOV1_char RACE_K=RACE_K_char));
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*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:\nisteenpuf18'; *--- SPECIFY PATH TO SAS DATASET ---*;

%let out='c:\nisteenpuf18'; *--- 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=Q1/2018 - Q4/2018; *--- NIS-TEEN 4 QUARTER PERIOD ---*;

proc format; 

value incpvr2f

1 = "ABOVE POVERTY, > $75,000"
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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, 2018"; 

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:/nisteenpuf18" #"path-to-dataset"

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

in.file <- paste(dd,"/NISTEENPUF18.RData",sep="")

#---READ R DATASET---# 

load(in.file)

#---FORMAT---# 

UTDTDlevels=c(0,1)

UTDTDlabels=c("NOT 1+ TD/TDAP UTD", "1+ TD/TDAP UTD")

ESTIAPlevels=c(0, 1, 2, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 22, 25, 27, 28, 29, 30, 31, 34, 35, 36, 38, 40, 41, 44, 

46, 47, 49, 50, 51, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 72, 73, 74, 75, 76, 77, 107, 109) 

ESTIAPlabels=c("US Total", "CT", "MA", "ME", "NH", "RI", "VT", "NJ", "NY-Rest of State", "NY-City of New York", "DC", 

"DE", "MD", "PA-Rest of State", "PA-Philadelphia County", "VA", "WV", "AL", "FL", "GA", "KY", "MS", "NC", "SC", "TN",

"IL-Rest of State", "IL-City of Chicago", "IN", "MI", "MN", "OH", "WI", "AR", "LA", "NM", "OK", "TX-Rest of State", "TXCity of Houston", "TX-Bexar County", "IA", "KS", "MO", "NE", "CO", "MT", "ND", "SD", "UT", "WY", "AZ", "CA", "HI", 

"NV", "AK", "ID", "OR", "WA", "TX-Hidalgo County", "TX-Tarrant County") 

#---PROVWT_C WILL BE USED AS A WEIGHT (PROVWT_C IS THE SINGLE-FRAME CELL-PHONE WEIGHT 

EXCLUDING TERRITORIES) ---# 

#---STRATUM WILL BE USED AS A STRATUM VARIABLE FOR VARIANCE ESTIMATION (USE STRATUM FOR 

ALL ESTIMATION ---# 

R_FILE <- subset(NISTEENPUF18, select=c(SEQNUMT, P_UTDTD, ESTIAPT18, 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:/nisteenpuf18" #"path-to-data"

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

in.file <- paste(dd,"/NISTEENPUF18.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)

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" 

) 

#--- PROVWT_C WILL BE USED AS A WEIGHT (PROVWT_C IS THE SINGLE-FRAME CELL-PHONE WEIGHT 

EXCLUDING TERRITORIES) ---# 

#---STRATUM WILL BE USED AS A STRATUM VARIABLE FOR VARIANCE ESTIMATION (USE STRATUM FOR 

ALL ESTIMATION ---# 

R_FILE <- subset(NISTEENPUF18, select=c(SEQNUMT, P_UTDTD, ESTIAPT18, STATE, PROVWT_C, STRATUM)) 

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

R_FILE <- na.omit(R_FILE) 

#---ASSIGN LABELS---# 

R_FILE$P_UTDTD <- factor(R_FILE$P_UTDTD, levels=UTDTDlevels, labels=UTDTDlabels)

R_FILE$STATE <- factor(R_FILE$STATE, levels=STATElevels,

labels=STATElabels)

#---SPECIFY A SAMPLING DESIGN---# 

svydsg <- svydesign(id=~SEQNUMT, strata=~STRATUM, weights=~WT, data=R_FILE)

#---STATE ESTIMATES AND STANDARD ERRORS---# 

r_est2 <- svyby(~P_UTDTD, ~STATE, svydsg, svymean)

r_est2[,-c(1)] <- round(r_est2[,-c(1)]*100,2) #CONVERT INTO PERCENT ESTIMATES

r_est2 <- subset(r_est2, select=c(1,3,5)) #SELECT ESTIMATES FOR UP-TO-DATE CASES

names(r_est2) <- c("STATE", "PERCENT 1+ TD/TDAP UTD", "STANDARD ERROR UTD")

prn(r_est2, '1+ TD/TDAP ESTIMATES BY STATE')

######################

title <- "R_PROG_3.R" 

######################################################################

#THIS PROGRAM WILL PRODUCE A TABLE OF TEEN HAVING ASTHMA BY STATE FOR 

#ALL HOUSEHOLD COMPLETES USING RDDWT_C. THE PROGRAM USES R.

# 

#R NOTES:

#1. R IS CASE SENSITIVE.

#2. A FILE PATH IS SEPERATED BY SLASH(/)

######################################################################

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

library(Hmisc) #TO USE prn()

library(prettyR) #TO USE freq()
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dd <- "c:/nisteenpuf18" #"path-to-dataset"

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

in.file <- paste(dd,"/NISTEENPUF18.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)

STATElabels=c(

"ALABAMA",

"ALASKA",

"ARIZONA",

"ARKANSAS",

"CALIFORNIA",

"COLORADO",

"CONNECTICUT",

"DELAWARE",

"DISTRICT OF COLUMBIA",

"FLORIDA",

"GEORGIA",

"HAWAII",

"IDAHO",

"ILLINOIS", 

"INDIANA",

"IOWA",

"KANSAS",

"KENTUCKY",

"LOUISIANA",

"MAINE",

"MARYLAND",

"MASSACHUSETTS",

"MICHIGAN",

"MINNESOTA",

"MISSISSIPPI",

"MISSOURI", 

"MONTANA",

"NEBRASKA",

"NEVADA",

"NEW HAMPSHIRE",

"NEW JERSEY",

"NEW MEXICO",

"NEW YORK",

"NORTH CAROLINA",

"NORTH DAKOTA",

"OHIO",

"OKLAHOMA",

"OREGON",

"PENNSYLVANIA",

"RHODE ISLAND",

"SOUTH CAROLINA",

"SOUTH DAKOTA",

"TENNESSEE",

"TEXAS",

"UTAH",

"VERMONT",
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"VIRGINIA", 

"WASHINGTON",

"WEST VIRGINIA",

"WISCONSIN", 

"WYOMING"

) 

#--- RDDWT_C WILL BE USED AS A WEIGHT (RDDWT_C IS THE SINGLE-FRAME CELL-PHONE WEIGHT 

EXCLUDING TERRITORIES) ---# 

#---STRATUM WILL BE USED AS A STRATUM VARIABLE FOR VARIANCE ESTIMATION (USE STRATUM FOR 

ALL ESTIMATION ---# 

R_FILE <- subset(NISTEENPUF18, select=c(SEQNUMT, ESTIAPT18, 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:/nisteenpuf18" #"path-to-dataset"

out <-"c:/nisteenpuf18" #"path where output will go"

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

in.file <- paste(dd,"/NISTEENPUF18.RData",sep="")
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#---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) ---# 

#---STRATUM WILL BE USED AS A STRATUM VARIABLE FOR VARIANCE ESTIMATION (USE STRATUM FOR 

ALL ESTIMATION ---# 

R_FILE <- subset(NISTEENPUF18, select=c(SEQNUMT, P_UTDTD, ESTIAPT18, 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. Q1/2018 - Q4/2018', '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. Q1/2018 - Q4/2018, 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_16", sep=""))

######################

title <- "GRAPH_4.R"

#########################################################################

#THIS PROGRAM BUILDS OFF OF THE PROGRAM PROG_4. IT PRODUCES A CHART OF

#P_UTDTD BY INCPOV1 BY RACE_K. IT CREATES A BAR GRAPH IN R

#FOR THE 4X3 = 12 CELLS.

#R NOTES:

#1. R IS CASE SENSITIVE.

#2. A FILE PATH IS SEPERATED BY SLASH(/)

#########################################################################

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

library(Hmisc) #TO USE prn()
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dd <- "c:/nisteenpuf18" #---SPECIFY PATH TO R DATASET THAT WAS THE OUTPUT OF R_PROG_4---# 

out <- "c:/nisteenpuf18" #---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_16",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, 2018\n"

mtext(paste(title1,title2), cex=1.5)
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

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

124
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

125

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, 2008-2018 

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

AGE AGE IN YEARS OF SELECTED TEEN 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 -

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 -

C1R NUMBER OF PEOPLE IN HOUSEHOLD 

(RECODE) 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 -

CEN_REG CENSUS REGION BASED ON TRUE 

STATE OF RESIDENCE 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 -

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 -

CKUP_AGE AGE IN YEARS AT LAST CHECK-UP 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 -

CPOX_AGE AGE IN YEARS WHEN HAD CHICKEN 

POX DISEASE 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 -

CPOX_HAD TEEN EVER HAD CHICKEN POX 

DISEASE? Y Y Y Y Y Y Y Y Y Y Y -

D6R

NUMBER OF PROVIDERS IDENTIFIED 

BY RESPONDENT (NOT DEDUPLICATED) (RECODE)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 -

EDUC_TR TEEN'S CURRENT GRADE IN SCHOOL 

(RECODE) 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 

126

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

EDUC1

EDUCATION LEVEL OF MOTHER 

WITH 4 CATEGORIES: IMPUTED

(RECODE)

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 

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. 

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

127

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

ESTIAPT18 ESTIMATION AREA OF RESIDENCE - - - - - - - - - - Y

Replaced ESTIAPT17 in 2018 

because estimation areas were 

modified. 

FACILITY FACILITY TYPES FOR TEEN'S 

PROVIDERS Y Y Y Y Y Y Y Y Y Y Y -

FLU_AGE

AGE OF TEEN IN YEARS AT HHREPORTED INFLUENZA 

VACCINATION RECEIVED MOST 

RECENTLY

Y 

- - - - - - - - - - Dropped in 2009 due to mid-year 

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

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 - Dropped in 2018 due to a 

provider reporting issue.

FLU_ANY_REC

HH-REPORT: HAS TEEN RECEIVED 

ANY INFLUENZA VACCINATIONS IN 

PAST 12 MONTHS? (RECALL)

Y - - - - - - - - - - Dropped in 2009 due to mid-year 

questionnaire changes.

FLU_ANY_SC

HH-REPORT: HAS TEEN RECEIVED 

ANY INFLUENZA VACCINATIONS IN 

PAST 12 MONTHS? (SHOTCARD)

Y - - - - - - - - - - Dropped in 2009 due to mid-year 

questionnaire changes.

FLU_DAGE1

AGE IN DAYS OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #1

- - -

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.

FLU_DAGE2

AGE IN DAYS OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #2

- - -

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.

FLU_DAGE3

AGE IN DAYS OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #3

- - -

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.

FLU_DAGE4

AGE IN DAYS OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #4

- - -

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.

FLU_DAGE5

AGE IN DAYS OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #5

- - -

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.

FLU_DAGE6

AGE IN DAYS OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #6

- - -

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.

FLU_DAGE7

AGE IN DAYS OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #7

- - -

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.
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 Notes

FLU_DAGE8

AGE IN DAYS OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #8

- - -

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.

FLU_DAGE9

AGE IN DAYS OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #9

- - -

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.

FLU_MAGE1

AGE IN MONTHS OF PROVREPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #1

- - -

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.

FLU_MAGE2

AGE IN MONTHS OF PROVREPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #2

- - -

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.

FLU_MAGE3

AGE IN MONTHS OF PROVREPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #3

- - -

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.

FLU_MAGE4

AGE IN MONTHS OF PROVREPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #4

- - -

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.

FLU_MAGE5

AGE IN MONTHS OF PROVREPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #5

- - -

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.

FLU_MAGE6

AGE IN MONTHS OF PROVREPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #6

- - -

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.

FLU_MAGE7

AGE IN MONTHS OF PROVREPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #7

- - -

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.
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 Notes

FLU_MAGE8

AGE IN MONTHS OF PROVREPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #8

- - -

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.

FLU_MAGE9

AGE IN MONTHS OF PROVREPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #9

- - -

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.

FLU_MONTH

MONTH OF HH-REPORTED 

INFLUENZA VACCINATION 

RECEIVED MOST RECENTLY

Y - - - - - - - - - - Dropped in 2009 due to mid-year 

questionnaire changes.

FLU_MONTH1

MONTH OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #1

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_MONTH2

MONTH OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #2

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_MONTH3

MONTH OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #3

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_MONTH4

MONTH OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #4

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_MONTH5

MONTH OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #5

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_MONTH6

MONTH OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #6

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_MONTH7

MONTH OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #7

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

FLU_MONTH8

MONTH OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #8

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_MONTH9

MONTH OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #9

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_PLACE KIND OF PLACE TEEN RECEIVED 

MOST RECENT FLU SHOT OR SPRAY Y - - - - - - - - - - Dropped in 2009 due to mid-year 

questionnaire changes.

FLU_TYPE

TYPE OF HH-REPORTED INFLUENZA 

VACCINATION RECEIVED MOST 

RECENTLY

Y - - - - - - - - - - Dropped in 2009 due to mid-year 

questionnaire changes.

FLU_YEAR

YEAR OF HH-REPORTED INFLUENZA 

VACCINATION RECEIVED MOST 

RECENTLY

Y - - - - - - - - - - Dropped in 2009 due to mid-year 

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 - Dropped in 2018 due to a 

provider reporting issue.

FLU_YEAR2

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #2

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_YEAR3

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #3

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_YEAR4

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #4

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_YEAR5

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #5

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_YEAR6

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #6

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_YEAR7

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #7

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

FLU_YEAR8

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #8

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

FLU_YEAR9

YEAR OF PROV-REPORTED 

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #9

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

H1N_AGE1

AGE IN YEARS 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_AGE2

AGE IN YEARS 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_AGE3

AGE IN YEARS 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.

H1N_AGE4

AGE IN YEARS 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_AGE5

AGE IN YEARS 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_AGE6

AGE IN YEARS 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_AGE7

AGE IN YEARS 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.
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 Notes

H1N_AGE8

AGE IN YEARS 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_AGE9

AGE IN YEARS 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_DAGE1

AGE IN DAYS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #1

- - -

Y Y 

- - - - - - Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_DAGE2

AGE IN DAYS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #2

- - -

Y Y 

- - - - - - Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_DAGE3

AGE IN DAYS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #3

- - -

Y Y 

- - - - - - Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_DAGE4

AGE IN DAYS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #4

- - -

Y Y 

- - - - - - Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_DAGE5

AGE IN DAYS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #5

- - -

Y Y 

- - - - - - Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_DAGE6

AGE IN DAYS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #6

- - -

Y Y 

- - - - - - Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_DAGE7

AGE IN DAYS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #7

- - -

Y Y 

- - - - - - Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.
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 Notes

H1N_DAGE8

AGE IN DAYS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #8

- - -

Y Y 

- - - - - - Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_DAGE9

AGE IN DAYS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #9

- - -

Y Y 

- - - - - - Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_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.

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.
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 Notes

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.

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.
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 Notes

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.

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.
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 Notes

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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED HEPATITIS A SHOT #4 

(SHOTCARD)

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

questionnaire.

HEPA_AGE_SC5

AGE OF TEEN IN YEARS AT HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 - Dropped in 2018 due to a 

provider reporting issue.

HEPA_AGE2

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #2

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPA_AGE3

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #3

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

HEPA_AGE4

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #4

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPA_AGE5

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #5

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPA_AGE6

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #6

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPA_AGE7

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #7

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPA_AGE8

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #8

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPA_AGE9

AGE IN YEARS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #9

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPA_ANY_REC

HH-REPORT: HAS TEEN EVER 

RECEIVED ANY HEPATITIS A SHOTS?

(RECALL)

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

questionnaire.

HEPA_ANY_SC

HH-REPORT: HAS TEEN EVER 

RECEIVED ANY HEPATITIS A SHOTS? 

(SHOTCARD)

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

questionnaire.

HEPA_DAGE1 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #1

- - -

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.

HEPA_DAGE2 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #2

- - -

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.

HEPA_DAGE3 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #3

- - -

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.

HEPA_DAGE4 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #4

- - -

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.
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 Notes

HEPA_DAGE5 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #5

- - -

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.

HEPA_DAGE6 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #6

- - -

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.

HEPA_DAGE7 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #7

- - -

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.

HEPA_DAGE8 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #8

- - -

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.

HEPA_DAGE9 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #9

- - -

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.

HEPA_MAGE1

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #1

- - -

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.

HEPA_MAGE2

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #2

- - -

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.

HEPA_MAGE3

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #3

- - -

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.

HEPA_MAGE4

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #4

- - -

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.
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 Notes

HEPA_MAGE5

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #5

- - -

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.

HEPA_MAGE6

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #6

- - -

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.

HEPA_MAGE7

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #7

- - -

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.

HEPA_MAGE8

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #8

- - -

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.

HEPA_MAGE9

AGE IN MONTHS OF PROVREPORTED HEPATITIS ACONTAINING SHOT #9

- - -

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.

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 HHREPORTED 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 HHREPORTED HEPATITIS B SHOT #2 

(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 

141

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

HEPB_AGE_SC3

AGE OF TEEN IN YEARS AT HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED HEPATITIS B SHOT #8 

(SHOTCARD)

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

questionnaire.

HEPB_AGE1

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #1

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPB_AGE2

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #2

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPB_AGE3

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #3

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPB_AGE4

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #4

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPB_AGE5

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #5

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPB_AGE6

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #6

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPB_AGE7

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #7

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

HEPB_AGE8

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #8

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

HEPB_AGE9

AGE IN YEARS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #9

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

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 PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #1

- - -

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.

HEPB_DAGE2 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #2

- - -

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.

HEPB_DAGE3 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #3

- - -

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.

HEPB_DAGE4 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #4

- - -

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.

HEPB_DAGE5 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #5

- - -

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.

HEPB_DAGE6 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #6

- - -

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.

HEPB_DAGE7 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #7

- - -

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.
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 Notes

HEPB_DAGE8 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #8

- - -

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.

HEPB_DAGE9 AGE IN DAYS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #9

- - -

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.

HEPB_MAGE1

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #1

- - -

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.

HEPB_MAGE2

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #2

- - -

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.

HEPB_MAGE3

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #3

- - -

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.

HEPB_MAGE4

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #4

- - -

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.

HEPB_MAGE5

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #5

- - -

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.

HEPB_MAGE6

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #6

- - -

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.

HEPB_MAGE7

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #7

- - -

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.
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 Notes

HEPB_MAGE8

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #8

- - -

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.

HEPB_MAGE9

AGE IN MONTHS OF PROVREPORTED HEPATITIS BCONTAINING SHOT #9

- - -

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.

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.

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 mid-year 

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 mid-year 

questionnaire changes.

HPV_AGE1 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #1 Y Y Y Y Y Y Y Y Y Y Y -

HPV_AGE2 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #2 Y Y Y Y Y Y Y Y Y Y Y -

HPV_AGE3 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #3 Y Y Y Y Y Y Y Y Y Y Y -

HPV_AGE4 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #4 Y Y Y Y Y Y Y Y Y Y Y -

HPV_AGE5 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #5 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 

145

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

HPV_AGE6 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #6 Y Y Y Y Y Y Y Y Y Y Y -

HPV_AGE7 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #7 Y Y Y Y Y Y Y Y Y Y Y -

HPV_AGE8 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #8 Y Y Y Y Y Y Y Y Y Y Y -

HPV_AGE9 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #9 Y Y Y Y Y Y Y Y Y Y Y -

HPV_DAGE1 AGE IN DAYS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS 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.

HPV_DAGE2 AGE IN DAYS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS 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.

HPV_DAGE3 AGE IN DAYS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS 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.

HPV_DAGE4 AGE IN DAYS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS 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.

HPV_DAGE5 AGE IN DAYS OF PROV-REPORTED

HUMAN PAPILLOMAVIRUS 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.

HPV_DAGE6 AGE IN DAYS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS 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.

HPV_DAGE7 AGE IN DAYS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS 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.

HPV_DAGE8 AGE IN DAYS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS 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.

HPV_DAGE9 AGE IN DAYS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS 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.

HPV_MAGE1

AGE IN MONTHS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS 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.

HPV_MAGE2

AGE IN MONTHS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS 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.
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 Notes

HPV_MAGE3

AGE IN MONTHS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS 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.

HPV_MAGE4

AGE IN MONTHS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS 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.

HPV_MAGE5

AGE IN MONTHS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS 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.

HPV_MAGE6

AGE IN MONTHS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS 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.

HPV_MAGE7

AGE IN MONTHS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS 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.

HPV_MAGE8

AGE IN MONTHS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS 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.

HPV_MAGE9

AGE IN MONTHS OF PROVREPORTED HUMAN 

PAPILLOMAVIRUS 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.

HPVI_AGE_SC1

AGE OF TEEN IN YEARS AT HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED HUMAN 

PAPILLOMAVIRUS 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 

147

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

HPVI_AGE_SC6

AGE OF TEEN IN YEARS AT HHREPORTED 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 HHREPORTED 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 HHREPORTED HUMAN 

PAPILLOMAVIRUS SHOT #8 

(SHOTCARD)

Y Y Y Y Y Y 

- - - - - Dropped in 2014 due to shortened 

questionnaire.

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_ANY

HH-REPORT: HAS TEEN EVER 

RECEIVED ANY HUMAN 

PAPILLOMAVIRUS SHOTS?

- - - - - - - Y Y Y Y Replaced HPVI_ANY_REC in 

2015.

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 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 

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 -
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 Notes

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 

-

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 

-

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 

-

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 

-

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 

-

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 

-

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 

-

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 

-

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 

-

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 

-
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 Notes

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 

-

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 

-

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 

-

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 

-

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 

-

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 

-

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 

-

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 

-

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 

-

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 

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

150

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

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 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 -

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 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/TRANSPORTATION 

PROBLEMS

- - - - - - - -

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 

-

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 

-

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 

-

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 

-

I_HISP_K IS TEEN HISPANIC OR LATINO?: 

IMPUTED 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 -

INCPORAR INCOME TO POVERTY RATIO 

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

INCPORAR_I INCOME TO POVERTY RATIO: 

IMPUTED (RECODE) - - - - - - - - Y Y Y Imputed version of INCPORAR 

added in 2016.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

151

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

INCPOV1 POVERTY STATUS 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 -

INS_BREAK_I CONTINUITY OF INSURANCE 

COVERAGE SINCE AGE 11: IMPUTED - - - - - - - - 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 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 -

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 Replaced MARITAL starting in 

2009.

MCV_AGE_SC1

AGE OF TEEN IN YEARS AT HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED MEASLES OR MMR 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 

152

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

MCV_AGE1

AGE IN YEARS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #1

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

MCV_AGE2

AGE IN YEARS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #2

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

MCV_AGE3

AGE IN YEARS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #3

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

MCV_AGE4

AGE IN YEARS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #4

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

MCV_AGE5

AGE IN YEARS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #5

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

MCV_AGE6

AGE IN YEARS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #6

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

MCV_AGE7

AGE IN YEARS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #7

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

MCV_AGE8

AGE IN YEARS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #8

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

MCV_AGE9

AGE IN YEARS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #9

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

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 PROV-REPORTED 

MEASLES-CONTAINING SHOT #1

- - -

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.

MCV_DAGE2 AGE IN DAYS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #2

- - -

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

153

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

MCV_DAGE3 AGE IN DAYS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #3

- - -

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.

MCV_DAGE4 AGE IN DAYS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #4

- - -

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.

MCV_DAGE5 AGE IN DAYS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #5

- - -

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.

MCV_DAGE6 AGE IN DAYS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #6

- - -

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.

MCV_DAGE7 AGE IN DAYS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #7

- - -

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.

MCV_DAGE8 AGE IN DAYS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #8

- - -

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.

MCV_DAGE9 AGE IN DAYS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #9

- - -

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.

MCV_MAGE1

AGE IN MONTHS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #1

- - -

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.

MCV_MAGE2

AGE IN MONTHS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #2

- - -

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

154

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

MCV_MAGE3

AGE IN MONTHS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #3

- - -

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.

MCV_MAGE4

AGE IN MONTHS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #4

- - -

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.

MCV_MAGE5

AGE IN MONTHS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #5

- - -

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.

MCV_MAGE6

AGE IN MONTHS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #6

- - -

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.

MCV_MAGE7

AGE IN MONTHS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #7

- - -

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.

MCV_MAGE8

AGE IN MONTHS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #8

- - -

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.

MCV_MAGE9

AGE IN MONTHS OF PROVREPORTED MEASLES-CONTAINING 

SHOT #9

- - -

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.

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

155

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

MEN_AGE_SC1

AGE OF TEEN IN YEARS AT HHREPORTED 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 HHREPORTED MENINGOCOCCAL SHOT 

#2 (SHOTCARD)

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

questionnaire.

MEN_AGE_SC3

AGE OF TEEN IN YEARS AT HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED MENINGOCOCCAL SHOT 

#8 (SHOTCARD)

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

questionnaire.

MEN_AGE1

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY SHOT #1

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

MEN_AGE2

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY SHOT #2

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

MEN_AGE3

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY SHOT #3

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

MEN_AGE4

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY SHOT #4

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

MEN_AGE5

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY SHOT #5

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

MEN_AGE6

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY SHOT #6

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 

156 

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

MEN_AGE7

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY SHOT #7

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

MEN_AGE8

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY SHOT #8

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

MEN_AGE9

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY SHOT #9

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

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_ANY HH-REPORT: HAS TEEN EVER 

RECEIVED ANY MENINGITIS SHOTS? - - - - - - - Y Y Y Y Replaced MEN_ANY_REC in 

2015.

MEN_DAGE1

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY 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.

MEN_DAGE2

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY 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.

MEN_DAGE3

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY 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.

MEN_DAGE4

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY 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.

MEN_DAGE5

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY 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.

MEN_DAGE6

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY 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.

MEN_DAGE7

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY 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.

MEN_DAGE8

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

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

157

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

MEN_DAGE9

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP 

ACWY 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.

MEN_MAGE1

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY 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.

MEN_MAGE2

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY 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.

MEN_MAGE3

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY 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.

MEN_MAGE4

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY 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.

MEN_MAGE5

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY 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.

MEN_MAGE6

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY 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.

MEN_MAGE7

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY 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.

MEN_MAGE8

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY 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.

MEN_MAGE9

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCAL 

SEROGROUP ACWY 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.

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 

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

158

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

MEN_REAS_10 MAIN REASON TEEN DID NOT 

RECEIVE MENINGITIS SHOTS: COSTS 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 -

MEN_REAS_12

MAIN REASON TEEN DID NOT 

RECEIVE MENINGITIS SHOTS: 

EFFECTIVENESS CONCERN

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 -

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 -

MEN_REAS_15

MAIN REASON TEEN DID NOT 

RECEIVE MENINGITIS SHOTS: 

COLLEGE SHOT

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 -

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 -

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 

-

MEN_REAS_19

MAIN REASON TEEN DID NOT 

RECEIVE MENINGITIS SHOTS: 

RELIGION/ORTHODOX

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 -

MEN_REAS_20 MAIN REASON TEEN DID NOT 

RECEIVE MENINGITIS SHOTS: TIME 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 -

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

159

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

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 -

MEN_REAS_24 MAIN REASON TEEN DID NOT 

RECEIVE MENINGITIS SHOTS: 

INTEND TO COMPLETE BUT HAVE 

NOT YET/ALREADY PLANNED

- - - - - - - - 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/TRANSPORTATION 

PROBLEMS

- - - - - - - -

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 -

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 -

MEN_REAS_5

MAIN REASON TEEN DID NOT 

RECEIVE MENINGITIS SHOTS: NOT 

AVAILABLE

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 -

MEN_REAS_7

MAIN REASON TEEN DID NOT 

RECEIVE MENINGITIS SHOTS: OTHER 

REASON

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 PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #1

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_AGE2

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #2

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_AGE3

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #3

- - - - - - - - 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 

160

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

MENB_AGE4

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #4

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_AGE5

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #5

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_AGE6

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #6

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_AGE7

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #7

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_AGE8

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #8

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_AGE9

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #9

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_DAGE1

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #1

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_DAGE2

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #2

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_DAGE3

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #3

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_DAGE4

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #4

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_DAGE5

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #5

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_DAGE6

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #6

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_DAGE7

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #7

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_DAGE8

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #8

- - - - - - - - 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 

161

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

MENB_DAGE9

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B 

SHOT #9

- - - - - - - - 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 

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 

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 

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 

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 

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 

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 

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 

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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENU_AGE1

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #1

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_AGE2

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #2

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_AGE3

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #3

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_AGE4

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #4

- - - - - - - - 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 

162

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

MENU_AGE5

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #5

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_AGE6

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #6

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_AGE7

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #7

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_AGE8

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #8

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_AGE9

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #9

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_DAGE1

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #1

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_DAGE2

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #2

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_DAGE3

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #3

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_DAGE4

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #4

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_DAGE5

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #5

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_DAGE6

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #6

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_DAGE7

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #7

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_DAGE8

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #8

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_DAGE9

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #9

- - - - - - - - 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 

163

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

MENU_MAGE1

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCALUNKNOWN SEROGROUP SHOT #1

- - - - - - - - Y Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE2

AGE IN MONTHS OF PROVREPORTED MENINGOCOCCALUNKNOWN SEROGROUP SHOT #2

- - - - - - - - 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 

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 

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 

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 

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 

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 

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 

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 -

N_PRVR

NUMBER OF IHQS WITH 

VACCINATION INFORMATION FOR 

THE TEEN (RECODE)

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 

-

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 Question added to household 

questionnaire in 2009.
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 Notes

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 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 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 -

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

P_N13H1N

NUMBER OF MONOVALENT 2009 

H1N1 INFLUENZA VACCINATIONS 

BY AGE 13 YEARS DETERMINED 

FROM PROVIDER INFO, EXCLUDING 

VACCINATIONS AFTER THE 

HOUSEHOLD INTERVIEW DATE AND 

EXCLUDING VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- -

Y Y Y 

- - - - - - H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

P_N13H1N_1L

NUMBER OF MONOVALENT 2009 

H1N1 INFLUENZA VACCINATIONS OF 

UNKNOWN TYPE BY AGE 13 YEARS 

DETERMINED FROM PROVIDER INFO, 

EXCLUDING VACCINATIONS AFTER 

THE HOUSEHOLD INTERVIEW DATE 

AND EXCLUDING VACCINATIONS 

GIVEN PRIOR TO 10/5/2009.

- -

Y Y Y 

- - - - - - H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

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.
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 Notes

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

P_N13HEPA_HO

NUMBER OF HEPATITIS A-ONLY 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM PROVIDER 

INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.
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 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 - Dropped in 2018 due to a 

provider reporting issue.

P_N13HEPB_64

NUMBER OF HEPATITIS B-ONLY 

SHOTS OF UNKNOWN TYPE BY AGE 

13 YEARS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 -

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_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 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 

HPV Gardasil 9-valent shot type 

added to the IHQ shotgrid in 

2015.

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 HPV shot type variables added to 

the PUF in 2012.
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 Notes

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 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 

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 - Dropped in 2018 due to a 

provider reporting issue.

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

-

Dropped in 2018 due to a 

provider reporting issue.

P_N13MCV_31

NUMBER OF MEASLES-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

-

Dropped in 2018 due to a 

provider reporting issue.

P_N13MCV_32

NUMBER OF MEASLES-MUMPS 

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

-

Dropped in 2018 due to a 

provider reporting issue.

P_N13MCV_33

NUMBER OF MEASLES-RUBELLA 

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

-

Dropped in 2018 due to a 

provider reporting issue.
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 Notes

P_N13MCV_MM

NUMBER OF MEASLESCONTAINING SHOTS OF UNKNOWN 

TYPE BY AGE 13 YEARS 

DETERMINED FROM PROVIDER 

INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

P_N13MEN

NUMBER OF MENINGOCOCCAL 

SEROGROUP ACWY-CONTAINING 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM PROVIDER INFO, 

EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y Y 

-

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 

-

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 

-

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 

-

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 

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 

170

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

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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

P_N13MENB_BT NUMBER OF MENINGOCOCCAL 

MENB-FHPB SHOTS BY AGE 13 

YEARS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

- - - - - - - -

Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

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 

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 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

P_N13MMR

NUMBER OF MMR-CONTAINING 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM PROVIDER 

INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 -

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 Up-to-date variable added to the 

PUF in 2010.
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 Notes

P_N13TDP

NUMBER OF TD/TDAP-CONTAINING 

SHOTS BY AGE 13 YEARS 

DETERMINED FROM PROVIDER INFO, 

EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y Y 

-

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 

-

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 

-

P_N13TDP_15

NUMBER OF TD/TDAP-CONTAINING 

SHOTS OF UNKNOWN TYPE BY AGE 

13 YEARS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y Y 

-

P_N13TDP_POST10

NUMBER OF TD/TDAP-CONTAINING 

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 

-

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

P_N13VRC_VO

NUMBER OF VARICELLA-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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

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

-

Dropped in 2018 due to a 

provider reporting issue.

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

-

Dropped in 2018 due to a 

provider reporting issue.

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.

P_NUMH1N_1L

NUMBER OF MONOVALENT 2009 

H1N1 INFLUENZA VACCINATIONS OF 

UNKNOWN TYPE DETERMINED 

FROM PROVIDER INFO, EXCLUDING 

VACCINATIONS AFTER THE 

HOUSEHOLD INTERVIEW DATE AND 

EXCLUDING VACCINATIONS GIVEN 

PRIOR TO 10/5/2009.

- -

Y Y Y 

- - - - - - H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

P_NUMH1N_1M

NUMBER OF INHALED NASAL 

MONOVALENT 2009 H1N1 

INFLUENZA SPRAY VACCINATIONS 

DETERMINED FROM PROVIDER INFO, 

EXCLUDING VACCINATIONS AFTER 

THE HOUSEHOLD INTERVIEW DATE 

AND EXCLUDING VACCINATIONS 

GIVEN PRIOR TO 10/5/2009.

- -

Y Y Y 

- - - - - - H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

P_NUMH1N_1N

NUMBER OF INJECTED 

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATIONS 

DETERMINED FROM PROVIDER INFO, 

EXCLUDING VACCINATIONS AFTER 

THE HOUSEHOLD INTERVIEW DATE 

AND EXCLUDING VACCINATIONS 

GIVEN PRIOR TO 10/5/2009.

- -

Y Y Y 

- - - - - - H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

174

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

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

-

Dropped in 2018 due to a 

provider reporting issue.

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

-

Dropped in 2018 due to a 

provider reporting issue.

P_NUMHEPA_HO

NUMBER OF HEPATITIS A-ONLY 

SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y

-

Dropped in 2018 due to a 

provider reporting issue.

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

-

Dropped in 2018 due to a 

provider reporting issue.

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

-

Dropped in 2018 due to a 

provider reporting issue.

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

-

Dropped in 2018 due to a 

provider reporting issue.

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

-

Dropped in 2018 due to a 

provider reporting issue.

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

-

Dropped in 2018 due to a 

provider reporting issue.
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 Notes

P_NUMHEPB_64

NUMBER OF HEPATITIS B-ONLY 

SHOTS OF UNKNOWN TYPE 

DETERMINED FROM PROVIDER 

INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y

-

Dropped in 2018 due to a 

provider reporting issue.

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

-

Dropped in 2018 due to a 

provider reporting issue.

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 -

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 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 

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 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.

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 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 

Added in 2015 to account for 

reported HPV Gardasil shots with 

unknown valence.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

176

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

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

-

Dropped in 2018 due to a 

provider reporting issue.

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

-

Dropped in 2018 due to a 

provider reporting issue.

P_NUMMCV_31

NUMBER OF MEASLES-ONLY 

SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y

-

Dropped in 2018 due to a 

provider reporting issue.

P_NUMMCV_32

NUMBER OF MEASLES-MUMPS 

SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y

-

Dropped in 2018 due to a

provider reporting issue.

P_NUMMCV_33

NUMBER OF MEASLES-RUBELLA 

SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y

-

Dropped in 2018 due to a 

provider reporting issue.

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

-

Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 -
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 Notes

P_NUMMEN_80

NUMBER OF MENINGOCOCCAL 

MCV4 SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y Y 

-

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 

-

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 

-

P_NUMMENB NUMBER OF MENINGOCOCCAL 

SEROGROUP B SHOTS DETERMINED 

FROM PROVIDER INFO, EXCLUDING 

ANY VACCINATIONS AFTER THE 

RDD INTERVIEW DATE.

- - - - - - - -

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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

P_NUMMENB_BT NUMBER OF MENINGOCOCCAL 

MENB-FHPB SHOTS DETERMINED 

FROM PROVIDER INFO, EXCLUDING 

ANY VACCINATIONS AFTER THE 

RDD INTERVIEW DATE.

- - - - - - - -

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 

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 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

178

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

P_NUMMMR

NUMBER OF MMR-CONTAINING 

SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y

-

Dropped in 2018 due to a 

provider reporting issue.

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

-

Dropped in 2018 due to a 

provider reporting issue.

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 -

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 Up-to-date variable added to the 

PUF in 2010.

P_NUMTDP

NUMBER OF TD/TDAP-CONTAINING 

SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y Y 

-

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 

-

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 

-

P_NUMTDP_15

NUMBER OF TD/TDAP-CONTAINING 

SHOTS OF UNKNOWN TYPE 

DETERMINED FROM PROVIDER INFO, 

EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y Y 

-

P_NUMTDP_POST1

0 

NUMBER OF TD/TDAP-CONTAINING 

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 

-
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 Notes

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 

-

Dropped in 2018 due to a 

provider reporting issue.

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 

-

Dropped in 2018 due to a 

provider reporting issue.

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 

-

Dropped in 2018 due to a 

provider reporting issue.

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 

-

Dropped in 2018 due to a 

provider reporting issue.

P_NUMVRC_VO

NUMBER OF VARICELLA-ONLY 

SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

-

Dropped in 2018 due to a 

provider reporting issue.

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 Up-to-date variable added to the 

PUF in 2015. 

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

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.

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.
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 Notes

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.

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 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 

provider-reported 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 -

Added in 2017 to reflect 

provider-reported flu 

vaccinations from previous 3 flu 

seasons. Dropped in 2018 due to 

a provider reporting issue.
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 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 A-CONTAINING SHOTS 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

P_U13HEPB

UP-TO-DATE FLAG (PROV INFO): 2+ 

HEPB 1.0 ML RECOMBIVAX SHOTS 

BEFORE AGE 13 YEARS, OR 3+ ANY 

COMBINATION OF HEPATITIS BCONTAINING SHOTS BEFORE AGE 

13 YEARS, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

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 -

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 Up-to-date variable added to PUF 

in 2010.

P_U13MCV

UP-TO-DATE FLAG (PROV INFO): 2+ 

MEASLES-CONTAINING SHOTS 

BEFORE AGE 13 YEARS, 

EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

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 -

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

P_U13TD

UP-TO-DATE FLAG (PROV INFO): 1+ 

TD/TDAP-CONTAINING SHOT 

BEFORE AGE 13 YEARS, EXCLUDING 

ANY VACCINATIONS AFTER THE 

RDD INTERVIEW DATE.

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

P_U13TDAP

UP-TO-DATE FLAG (PROV INFO): 1+ 

TDAP-ONLY SHOT SINCE AGE 10 

YEARS AND BEFORE AGE 13 YEARS, 

EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

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

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 Up-to-date variable added to PUF 

in 2010.

P_U13VRC

UP-TO-DATE FLAG (PROV INFO): 1+ 

VARICELLA-CONTAINING 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 - Dropped in 2018 due to a 

provider reporting issue.

P_U13VRC2

UP-TO-DATE FLAG (PROV INFO): 2+ 

VARICELLA-CONTAINING 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 - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

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

- Dropped in 2018 due to a 

provider reporting issue.

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

- Dropped in 2018 due to a 

provider reporting issue.

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 

185

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

provider-reported 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 -

Added in 2017 to reflect 

provider-reported flu 

vaccinations from previous 3 flu 

seasons. Dropped in 2018 due to 

a provider reporting issue.

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.
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 Notes

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 A-CONTAINING SHOTS, 

EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

P_UTDHEPA1

UP-TO-DATE FLAG (PROV INFO): 1+ 

HEPATITIS A-CONTAINING SHOT, 

EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

- - -

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.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 -

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 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 Up-to-date variable added to the 

PUF in 2016.
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 Notes

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 Up-to-date variable added to the 

PUF in 2015.

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 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 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 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 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 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 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 Up-to-date variable added to the 

PUF in 2015.

P_UTDHPV3C

UP-TO-DATE FLAG (PROV INFO): HPV 

CONDITIONAL COMPLETION RATE, 

EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

- - - Y Y Y Y Y Y Y Y Up-to-date variable added to the 

PUF in 2011.
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 Notes

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 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 Up-to-date variable added to the 

PUF in 2015.

P_UTDMCV

UP-TO-DATE FLAG (PROV INFO): 2+ 

MEASLES-CONTAINING SHOTS, 

EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y Dropped in 2018 due to a 

provider reporting issue.

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 -

P_UTDMENACWY

UP-TO-DATE FLAG (PROV INFO): 1+ 

MENINGOCOCCAL SEROGROUP 

ACWY-CONJUGATE SHOT OR 

MENINGOCOCCAL SEROGROUP 

ACWY-UNKNOWN TYPE 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.

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 - Dropped in 2018 due to a 

provider reporting issue.

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 - Dropped in 2018 due to a 

provider reporting issue.

P_UTDTD

UP-TO-DATE FLAG (PROV INFO): 1+ 

TD/TDAP-CONTAINING SHOT, 

EXCLUDING ANY VACCINATIONS

AFTER THE RDD INTERVIEW DATE.

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

189

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

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 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 -

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 Up-to-date variable added to the 

PUF in 2010.

P_UTDTDP_POST10

UP-TO-DATE FLAG (PROV INFO): 1+ 

TD/TDAP-CONTAINING SHOT SINCE 

AGE 10 YEARS, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

- - -

Y Y Y Y Y Y Y Y Up-to-date variable added to the 

PUF in 2011.

P_UTDVRC

UP-TO-DATE FLAG (PROV INFO): 1+ 

VARICELLA-CONTAINING SHOT AT 

12+ MONTHS OF AGE, EXCLUDING 

ANY VACCINATIONS AFTER THE 

RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

P_UTDVRC_NOHI

ST4

UP-TO-DATE FLAG (PROV INFO): 1+ 

VARICELLA-CONTAINING 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 -

Up-to-date variable added to 

the PUF in 2011. Dropped in 

2018 due to a provider 

reporting issue.

P_UTDVRC2

UP-TO-DATE FLAG (PROV INFO): 2+ 

VARICELLA-CONTAINING SHOTS 

AT 12+ MONTHS OF AGE, 

EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

P_UTDVRC2_NOHI

ST4

UP-TO-DATE FLAG (PROV INFO): 2+ 

VARICELLA-CONTAINING 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 -

Up-to-date variable added to 

the PUF in 2011. Dropped in 

2018 due to a provider 

reporting issue.

PDAT ADEQUATE PROVIDER DATA FLAG Y Y Y Y Y Y - - - - - Dropped in 2014 due to change in 

adequate provider data definition.
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 Notes

PDAT2 ADEQUATE PROVIDER DATA FLAG - - - - - - 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 - Dropped in 2018 due a 

childhood vaccine reporting 

issue.

PPS_AGE2

AGE IN YEARS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #2

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

PPS_AGE3

AGE IN YEARS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #3

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

PPS_AGE4

AGE IN YEARS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #4

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

PPS_AGE5

AGE IN YEARS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #5

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

PPS_AGE6

AGE IN YEARS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #6

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

PPS_AGE7

AGE IN YEARS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #7

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

PPS_AGE8

AGE IN YEARS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #8

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

PPS_AGE9

AGE IN YEARS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #9

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

PPS_DAGE1

AGE IN DAYS OF PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #1

- - -

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.

PPS_DAGE2

AGE IN DAYS OF PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #2

- - -

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.
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 Notes

PPS_DAGE3

AGE IN DAYS OF PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #3

- - -

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.

PPS_DAGE4

AGE IN DAYS OF PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #4

- - -

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.

PPS_DAGE5

AGE IN DAYS OF PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #5

- - -

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.

PPS_DAGE6

AGE IN DAYS OF PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #6

- - -

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.

PPS_DAGE7

AGE IN DAYS OF PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #7

- - -

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.

PPS_DAGE8

AGE IN DAYS OF PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #8

- - -

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.

PPS_DAGE9

AGE IN DAYS OF PROV-REPORTED 

PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #9

- - -

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.

PPS_MAGE1

AGE IN MONTHS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #1

- - -

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.

PPS_MAGE2

AGE IN MONTHS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #2

- - -

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.
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 Notes

PPS_MAGE3

AGE IN MONTHS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #3

- - -

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.

PPS_MAGE4

AGE IN MONTHS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #4

- - -

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.

PPS_MAGE5

AGE IN MONTHS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #5

- - -

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.

PPS_MAGE6

AGE IN MONTHS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #6

- - -

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.

PPS_MAGE7

AGE IN MONTHS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #7

- - -

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.

PPS_MAGE8

AGE IN MONTHS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #8

- - -

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.

PPS_MAGE9

AGE IN MONTHS OF PROVREPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #9

- - -

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.

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

Replaced PROVWT_D in 2018 

due to removal of the landline 

sample.

PROVWT_D

FINAL DUAL-FRAME PROVIDERPHASE 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 

193

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

PROVWT_LL

FINAL LANDLINE PROVIDER-PHASE 

WEIGHT (EXCLUDING U.S. VIRGIN 

ISLANDS)

- - - Y - - - - - - - Replaced PROVWT in 2011 to 

distinguish from new dual-frame 

weight PROVWT_D. Removed 

in 2012.

PROVWTVI FINAL PROVIDER-PHASE WEIGHT 

(INCLUDING U.S. VIRGIN ISLANDS) - Y Y 

- - - - - - - - Added in 2009 to include U.S. 

Virgin Island sample. Replaced 

by PROVWTVI_LL in 2011 due 

to addition of dual-frame weights. 

PROVWTVI_D FINAL PROVIDER-PHASE WEIGHT 

(INCLUDING U.S. VIRGIN ISLANDS) -

- - - Y - - - - - - Replaced PROVWTVI_LL in 

2012. Replaced with 

PROVWTVIGU_D in 2013 due 

to the addition of Guam sample.

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.

PROVWT_D_TERR FINAL PROVIDER-PHASE WEIGHT 

(INCLUDING TERRITORIES)

- - - - - -

Y Y Y 

- - Replaced PROVWTVIGU_D in 

2014 due to addition of Puerto 

Rico sample. Not available on the 

2017 PUF as no data from U.S. 

territories were included.

PROVWTVI_LL

FINAL LANDLINE PROVIDER-PHASE 

WEIGHT (INCLUDING U.S. VIRGIN 

ISLANDS)

- - - Y - - - - - - - Replaced PROVWTVI in 2011. 

Replaced with dual-frame weight 

PROVWTVI_D in 2012.

RACE_K RACE OF TEEN WITH MULTIRACE 

CATEGORY: IMPUTED (RECODE) 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 -

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

Replaced RDDWT_D in 2018 

due to removal of the landline 

sample.

RDDWT_D

FINAL DUAL-FRAME RDD-PHASE 

WEIGHT (EXCLUDES 

TERRITORIES)

- - -

Y Y Y Y Y Y Y -

Added in 2011 as dual-frame 

weight. Replaced by 

RDDWT_C in 2018 due to 

removal of the landline sample.

RDDWT_LL

FINAL LANDLINE HOUSEHOLDPHASE WEIGHT (EXCLUDING U.S. 

VIRGIN ISLANDS)

- - - Y - - - - - - - Replaced RDDWT in 2011 to 

distinguish from new dual-frame 

weight RDDWT_D. Removed in 

2012.
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 Notes

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.

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.

RDDWT_D_TERR FINAL RDD-PHASE WEIGHT 

(INCLUDING TERRITORIES)

- - - - - -

Y Y Y 

- - Replaced RDDWTVIGU_D in 

2014 due to addition of Puerto 

Rico sample. Not available on the 

2017 PUF as no data from U.S. 

territories were included.

RDDWTVI_LL

FINAL LANDLINE HOUSEHOLDPHASE WEIGHT (INCLUDING U.S. 

VIRGIN ISLANDS)

- - - Y - - - - - - - Replaced RDDWTVI in 2011. 

Replaced with dual-frame weight 

RDDWTVI_D in 2012.

REGISTRY

DID TEEN'S PROVIDERS REPORT 

TEEN'S IMMUNIZATIONS TO 

IMMUNIZATION REGISTRY?

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 

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 -

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 -

RISK_NOW DOES TEEN STILL HAVE ANY OF 

THESE CONDITIONS? 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 -

SEX SEX OF TEEN: IMPUTED 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.
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 Notes

STATE TRUE STATE OF RESIDENCE (STATE 

FIPS CODE) Y Y Y Y Y Y Y Y Y Y Y -

STRATUM STRATUM VARIABLE FOR 

VARIANCE ESTIMATION

- - - - Y Y Y Y Y Y Y 

Replaced STRATUM_D in 2012. 

Equal to sample frame by 

estimation area.

STRATUM_D STRATUM VARIABLE FOR DUALFRAME VARIANCE ESTIMATION

- - - Y - - - - - - - Added in 2011. Equal to sample 

frame by estimation area. 

Replaced by STRATUM in 2012.

TDP_AGE1 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #1 Y Y Y Y Y Y Y Y Y Y Y -

TDP_AGE2 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #2 Y Y Y Y Y Y Y Y Y Y Y -

TDP_AGE3 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #3 Y Y Y Y Y Y Y Y Y Y Y -

TDP_AGE4 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #4 Y Y Y Y Y Y Y Y Y Y Y -

TDP_AGE5 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #5 Y Y Y Y Y Y Y Y Y Y Y -

TDP_AGE6 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #6 Y Y Y Y Y Y Y Y Y Y Y -

TDP_AGE7 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #7 Y Y Y Y Y Y Y Y Y Y Y -

TDP_AGE8 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #8 Y Y Y Y Y Y Y Y Y Y Y -

TDP_AGE9 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #9 Y Y Y Y Y Y Y Y Y Y Y -

TDP_DAGE1 AGE IN DAYS OF PROV-REPORTED 

TD/TDAP-CONTAINING 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.

TDP_DAGE2 AGE IN DAYS OF PROV-REPORTED 

TD/TDAP-CONTAINING 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.

TDP_DAGE3 AGE IN DAYS OF PROV-REPORTED 

TD/TDAP-CONTAINING 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.

TDP_DAGE4 AGE IN DAYS OF PROV-REPORTED 

TD/TDAP-CONTAINING 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.

TDP_DAGE5 AGE IN DAYS OF PROV-REPORTED 

TD/TDAP-CONTAINING 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.
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 Notes

TDP_DAGE6 AGE IN DAYS OF PROV-REPORTED 

TD/TDAP-CONTAINING 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.

TDP_DAGE7 AGE IN DAYS OF PROV-REPORTED 

TD/TDAP-CONTAINING 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.

TDP_DAGE8 AGE IN DAYS OF PROV-REPORTED 

TD/TDAP-CONTAINING 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.

TDP_DAGE9 AGE IN DAYS OF PROV-REPORTED 

TD/TDAP-CONTAINING 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.

TDP_MAGE1

AGE IN MONTHS OF PROVREPORTED TD/TDAP-CONTAINING 

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.

TDP_MAGE2

AGE IN MONTHS OF PROVREPORTED TD/TDAP-CONTAINING 

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.

TDP_MAGE3

AGE IN MONTHS OF PROVREPORTED TD/TDAP-CONTAINING 

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.

TDP_MAGE4

AGE IN MONTHS OF PROVREPORTED TD/TDAP-CONTAINING 

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.

TDP_MAGE5

AGE IN MONTHS OF PROVREPORTED TD/TDAP-CONTAINING 

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.

TDP_MAGE6

AGE IN MONTHS OF PROVREPORTED TD/TDAP-CONTAINING 

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.

TDP_MAGE7

AGE IN MONTHS OF PROVREPORTED TD/TDAP-CONTAINING 

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.

TDP_MAGE8

AGE IN MONTHS OF PROVREPORTED TD/TDAP-CONTAINING 

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.

TDP_MAGE9

AGE IN MONTHS OF PROVREPORTED TD/TDAP-CONTAINING 

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.

TEL_SAMPFRAME SAMPLE FRAME INDICATOR 

(LANDLINE OR CELL-PHONE)

- - - Y - - - - - - - Added in 2011. Dropped in 2012 

due to use of only dual-frame 

weights.
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 Notes

TET_AGE_SC1

AGE OF TEEN IN YEARS AT HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED TETANUS BOOSTER SHOT 

#5 (SHOTCARD)

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

questionnaire.

TET_AGE_SC6

AGE OF TEEN IN YEARS AT HHREPORTED 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 HHREPORTED 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 HHREPORTED TETANUS BOOSTER SHOT 

#8 (SHOTCARD)

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

questionnaire.

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_ANY

HH-REPORT: HAS TEEN EVER 

RECEIVED ANY TETANUS BOOSTER 

SHOTS?

- - - - - - - Y Y Y Y Replaced TET_ANY_REC in 

2015.

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.
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 Notes

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.

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.

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 -
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 Notes

TET_REAS_10

MAIN REASON TEEN DID NOT 

RECEIVE TETANUS BOOSTER SHOTS: 

COSTS

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 -

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 -

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 -

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 -

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 -

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 -

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 -

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 

-

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 -

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 -

TET_REAS_20

MAIN REASON TEEN DID NOT 

RECEIVE TETANUS BOOSTER SHOTS: 

TIME

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 -

TET_REAS_22

MAIN REASON TEEN DID NOT 

RECEIVE TETANUS BOOSTER SHOTS: 

ALREADY UP-TO-DATE

Y Y Y Y Y Y Y Y Y Y Y -
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 Notes

TET_REAS_23

MAIN REASON TEEN DID NOT 

RECEIVE TETANUS BOOSTER SHOTS: 

NOT AVAILABLE

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

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 -

TET_REAS_25 MAIN REASON TEEN DID NOT 

RECEIVE TETANUS BOOSTER SHOTS: 

INTEND TO COMPLETE BUT HAVE 

NOT YET/ALREADY PLANNED

- - - - - - - - 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/TRANSPORTATION 

PROBLEMS

- - - - - - - -

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 -

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 

-

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 -

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 -

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.
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 Notes

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.

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 -

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 

-
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 Notes

VRC_AGE_SC1

AGE OF TEEN IN YEARS AT HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED 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 HHREPORTED VARICELLA SHOT #7 

(SHOTCARD)

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

questionnaire.

VRC_AGE_SC8

AGE OF TEEN IN YEARS AT HHREPORTED 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 - Dropped in 2018 due to a 

provider reporting issue.

VRC_AGE2

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #2

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

VRC_AGE3

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #3

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

VRC_AGE4

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #4

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

VRC_AGE5

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #5

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

VRC_AGE6

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #6

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

VRC_AGE7

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #7

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

VRC_AGE8

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #8

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

VRC_AGE9

AGE IN YEARS OF PROVREPORTED VARICELLACONTAINING SHOT #9

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

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 PROV-REPORTED 

VARICELLA-CONTAINING SHOT #1

- - -

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.

VRC_DAGE2 AGE IN DAYS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #2

- - -

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.

VRC_DAGE3 AGE IN DAYS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #3

- - -

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.

VRC_DAGE4 AGE IN DAYS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #4

- - -

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.

VRC_DAGE5 AGE IN DAYS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #5

- - -

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.
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 Notes

VRC_DAGE6 AGE IN DAYS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #6

- - -

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.

VRC_DAGE7 AGE IN DAYS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #7

- - -

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.

VRC_DAGE8 AGE IN DAYS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #8

- - -

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.

VRC_DAGE9 AGE IN DAYS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #9

- - -

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.

VRC_HIST

HISTORY OF CHICKEN POX 

REPORTED BY THE HOUSEHOLD 

OR BY ANY PROVIDER

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.

VRC_MAGE1

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING SHOT #1

- - -

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.

VRC_MAGE2

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING SHOT #2

- - -

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.

VRC_MAGE3

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING SHOT #3

- - -

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.

VRC_MAGE4

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING SHOT #4

- - -

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.
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 Notes

VRC_MAGE5

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING SHOT #5

- - -

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.

VRC_MAGE6

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING SHOT #6

- - -

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.

VRC_MAGE7

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING SHOT #7

- - -

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.

VRC_MAGE8

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING SHOT #8

- - -

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.

VRC_MAGE9

AGE IN MONTHS OF PROVREPORTED VARICELLACONTAINING SHOT #9

- - -

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.

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 Added in 2018.

XFLUTY1

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #1 TYPE CODE

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XFLUTY2

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #2 TYPE CODE

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

XFLUTY3

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #3 TYPE CODE

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XFLUTY4

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #4 TYPE CODE

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XFLUTY5

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #5 TYPE CODE

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XFLUTY6

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #6 TYPE CODE

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XFLUTY7

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #7 TYPE CODE

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XFLUTY8

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #8 TYPE CODE

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XFLUTY9

SEASONAL INFLUENZA 

VACCINATION IN PAST THREE 

YEARS #9 TYPE CODE

Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

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.
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 Notes

XH1NTY5

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #5 TYPE 

CODE

- -

Y Y Y 

- - - - - - H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

XH1NTY6

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #6 TYPE 

CODE

- -

Y Y Y 

- - - - - - H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

XH1NTY7

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #7 TYPE 

CODE

- -

Y Y Y 

- - - - - - H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

XH1NTY8

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #8 TYPE 

CODE

- -

Y Y Y 

- - - - - - H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

XH1NTY9

MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #9 TYPE 

CODE

- -

Y Y Y 

- - - - - - H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

XHEPATY1 HEPATITIS A-CONTAINING 

VACCINATION #1 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPATY2 HEPATITIS A-CONTAINING 

VACCINATION #2 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPATY3 HEPATITIS A-CONTAINING 

VACCINATION #3 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPATY4 HEPATITIS A-CONTAINING 

VACCINATION #4 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPATY5 HEPATITIS A-CONTAINING 

VACCINATION #5 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPATY6 HEPATITIS A-CONTAINING 

VACCINATION #6 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPATY7 HEPATITIS A-CONTAINING 

VACCINATION #7 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPATY8 HEPATITIS A-CONTAINING 

VACCINATION #8 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPATY9 HEPATITIS A-CONTAINING 

VACCINATION #9 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

XHEPBTY1 HEPATITIS B-CONTAINING 

VACCINATION #1 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPBTY2 HEPATITIS B-CONTAINING 

VACCINATION #2 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPBTY3 HEPATITIS B-CONTAINING 

VACCINATION #3 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPBTY4 HEPATITIS B-CONTAINING 

VACCINATION #4 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPBTY5 HEPATITIS B-CONTAINING 

VACCINATION #5 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPBTY6 HEPATITIS B-CONTAINING 

VACCINATION #6 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPBTY7 HEPATITIS B-CONTAINING 

VACCINATION #7 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPBTY8 HEPATITIS B-CONTAINING 

VACCINATION #8 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHEPBTY9 HEPATITIS B-CONTAINING 

VACCINATION #9 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XHPVTY1 HUMAN PAPILLOMAVIRUS 

VACCINATION #1 TYPE CODE - - - - 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 HPV shot type variables added to 

the PUF in 2012.

XHPVTY3 HUMAN PAPILLOMAVIRUS 

VACCINATION #3 TYPE CODE - - - - 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 HPV shot type variables added to 

the PUF in 2012.

XHPVTY5 HUMAN PAPILLOMAVIRUS 

VACCINATION #5 TYPE CODE - - - - 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 HPV shot type variables added to 

the PUF in 2012.

XHPVTY7 HUMAN PAPILLOMAVIRUS 

VACCINATION #7 TYPE CODE - - - - 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 HPV shot type variables added to 

the PUF in 2012.

XHPVTY9 HUMAN PAPILLOMAVIRUS 

VACCINATION #9 TYPE CODE - - - - 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 - Dropped in 2018 due to a 

provider reporting issue.

XMCVTY2 MEASLES-CONTAINING 

VACCINATION #2 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

209

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

XMCVTY3 MEASLES-CONTAINING 

VACCINATION #3 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XMCVTY4 MEASLES-CONTAINING 

VACCINATION #4 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XMCVTY5 MEASLES-CONTAINING 

VACCINATION #5 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a

provider reporting issue.

XMCVTY6 MEASLES-CONTAINING 

VACCINATION #6 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XMCVTY7 MEASLES-CONTAINING 

VACCINATION #7 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XMCVTY8 MEASLES-CONTAINING 

VACCINATION #8 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XMCVTY9 MEASLES-CONTAINING 

VACCINATION #9 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XMENBTY1 MENINGOCOCCAL SEROGROUP B 

VACCINATION #1 TYPE CODE

- - - - - - - - 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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY3 MENINGOCOCCAL SEROGROUP B 

VACCINATION #3 TYPE CODE

- - - - - - - - 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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY5 MENINGOCOCCAL SEROGROUP B 

VACCINATION #5 TYPE CODE

- - - - - - - - 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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY7 MENINGOCOCCAL SEROGROUP B 

VACCINATION #7 TYPE CODE

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY8 MENINGOCOCCAL SEROGROUP B 

VACCINATION #8 TYPE CODE

- - - - - - - - Y Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY9 MENINGOCOCCAL SEROGROUP B 

VACCINATION #9 TYPE CODE

- - - - - - - - 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 

210

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

XMENTY1 MENINGOCOCCAL SEROGROUP 

ACWY VACCINATION #1 TYPE CODE 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 -

XMENTY3 MENINGOCOCCAL SEROGROUP 

ACWY VACCINATION #3 TYPE CODE 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 -

XMENTY5 MENINGOCOCCAL SEROGROUP 

ACWY VACCINATION #5 TYPE CODE 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 -

XMENTY7 MENINGOCOCCAL SEROGROUP 

ACWY VACCINATION #7 TYPE CODE 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 -

XMENTY9 MENINGOCOCCAL SEROGROUP 

ACWY VACCINATION #9 TYPE CODE 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 -

XTDPTY2 TD/TDAP-CONTAINING 

VACCINATION #2 TYPE CODE 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 -

XTDPTY4 TD/TDAP-CONTAINING 

VACCINATION #4 TYPE CODE Y Y Y Y Y Y Y Y Y Y Y -

XTDPTY5 TD/TDAP-CONTAINING 

VACCINATION #5 TYPE CODE Y Y Y Y Y Y Y Y Y Y Y -

XTDPTY6 TD/TDAP-CONTAINING 

VACCINATION #6 TYPE CODE 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 -

XTDPTY8 TD/TDAP-CONTAINING 

VACCINATION #8 TYPE CODE 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 -

XVRCTY1 VARICELLA-CONTAINING 

VACCINATION #1 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XVRCTY2 VARICELLA-CONTAINING 

VACCINATION #2 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.
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 Notes

XVRCTY3 VARICELLA-CONTAINING 

VACCINATION #3 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XVRCTY4 VARICELLA-CONTAINING 

VACCINATION #4 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XVRCTY5 VARICELLA-CONTAINING 

VACCINATION #5 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XVRCTY6 VARICELLA-CONTAINING 

VACCINATION #6 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XVRCTY7 VARICELLA-CONTAINING 

VACCINATION #7 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XVRCTY8 VARICELLA-CONTAINING 

VACCINATION #8 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

XVRCTY9 VARICELLA-CONTAINING 

VACCINATION #9 TYPE CODE Y Y Y Y Y Y Y Y Y Y - Dropped in 2018 due to a 

provider reporting issue.

YEAR SAMPLING YEAR Y Y Y Y Y Y Y Y Y Y Y -
Summary Tables APPENDIX E 

212

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, 2018 

State/Estimation Area ESTIAPT18 

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* 20,795,755 38,706 18,700 48.3

Alabama 20 311,649 691 327 47.3

Alaska 74 48,072 705 392 55.6

Arizona 66 466,532 682 288 42.2

Arkansas 46 197,850 637 308 48.4

California 68 2,526,785 754 356 47.2

Colorado 60 360,303 571 278 48.7

Connecticut 1 226,552 601 293 48.8

Delaware 13 58,093 601 306 50.9

District of Columbia 12 25,277 647 283 43.7

Florida 22 1,194,804 788 337 42.8

Georgia 25 721,869 713 345 48.4

Hawaii 72 78,556 639 327 51.2

Idaho 75 127,825 567 291 51.3

Illinois 826,963 1,531 721 47.1

 IL-City of Chicago 35 144,404 422 192 45.5

 IL-Rest of State 34 682,559 1,109 529 47.7

Indiana 36 447,569 620 296 47.7

Iowa 56 203,329 503 280 55.7

Kansas 57 197,586 591 297 50.3

Kentucky 27 283,347 541 270 49.9

Louisiana 47 300,743 625 284 45.4

Maine 4 74,160 639 317 49.6

Maryland 14 379,953 920 393 42.7

Massachusetts 2 402,171 656 328 50.0

Michigan 38 636,563 627 313 49.9

Minnesota 40 363,821 555 285 51.4

Mississippi 28 201,248 615 285 46.3

Missouri 58 390,439 652 319 48.9

Montana 61 63,771 555 290 52.3

Nebraska 59 132,155 582 295 50.7

Nevada 73 192,415 789 334 42.3

New Hampshire 5 78,569 626 303 48.4

New Jersey 8 571,261 832 351 42.2

New Mexico 49 136,854 564 295 52.3

New York 1,151,627 1,229 535 43.5

 NY-City of New York 11 452,339 663 261 39.4

 NY-Rest of State 10 699,287 566 274 48.4

North Carolina 29 661,238 708 341 48.2

North Dakota 62 44,151 568 287 50.5

Ohio 41 745,905 665 329 49.5

Oklahoma 50 264,584 776 360 46.4
Summary Tables APPENDIX E 

213

State/Estimation Area ESTIAPT18 

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 76 244,776 557 297 53.3

Pennsylvania 765,383 1,361 649 47.7

 PA-Philadelphia County 17 88,504 520 237 45.6

 PA-Rest of State 16 676,878 841 412 49.0

Rhode Island 6 60,010 600 337 56.2

South Carolina 30 310,864 686 318 46.4

South Dakota 63 57,365 626 340 54.3

Tennessee 31 425,286 585 284 48.5

Texas 2,058,117 4,439 2,079 46.8

 TX-Bexar County 55 142,773 661 298 45.1

 TX-City of Houston 54 132,718 464 186 40.1

 TX-Hidalgo County 107 79,762 592 314 53.0

 TX-Tarrant County 109 155,014 835 364 43.6

 TX-Rest of State 51 1,547,849 1,887 917 48.6

Utah 64 256,187 568 310 54.6

Vermont 7 34,811 552 324 58.7

Virginia 18 524,007 738 327 44.3

Washington 77 452,137 571 286 50.1

West Virginia 19 105,501 672 337 50.1

Wisconsin 44 370,070 674 332 49.3

Wyoming 65 36,657 512 241 47.1

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

214

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

National Immunization Survey - Teen, 2018 

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 912 519,873 506 525,785 

13 12 Years 1,245 848,739 600 877,298 

13 >12, Non College Graduate 1,902 1,010,083 973 1,076,348 

13 College Graduate 3,609 1,771,479 1,773 1,770,938 

14 <12 Years 980 529,637 522 545,981 

14 12 Years 1,244 903,439 605 919,383 

14 >12, Non College Graduate 1,971 1,005,965 968 973,951 

14 College Graduate 3,646 1,745,286 1,780 1,644,816 

15 <12 Years 947 549,375 474 569,491 

15 12 Years 1,309 915,420 594 950,223 

15 >12, Non College Graduate 1,928 935,529 910 920,990 

15 College Graduate 3,626 1,755,804 1,763 1,808,357 

16 <12 Years 903 479,959 474 471,027 

16 12 Years 1,310 941,359 609 954,616 

16 >12, Non College Graduate 2,006 1,015,111 962 1,052,752 

16 College Graduate 3,615 1,687,342 1,706 1,721,809 

17 <12 Years 817 469,884 390 435,531 

17 12 Years 1,245 941,427 521 849,738 

17 >12, Non College Graduate 1,983 1,067,037 907 999,521 

17 College Graduate 3,508 1,703,007 1,663 1,727,200 

Total 38,706 20,795,755 18,700 20,795,755 

* 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 

215

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

National Immunization Survey - Teen, 2018 

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 3,649 1,768,312 1,847 1,890,991 

13 Above poverty, <= $75K 2,293 1,232,924 1,128 1,209,721 

13 Below poverty 1,283 864,557 739 917,260 

13 Unknown 443 284,379 138 232,397 

14 Above poverty, > $75K 3,754 1,806,306 1,876 1,721,682 

14 Above poverty, <= $75K 2,368 1,285,446 1,171 1,308,580 

14 Below poverty 1,243 818,164 697 845,687 

14 Unknown 476 274,411 131 208,182 

15 Above poverty, > $75K 3,726 1,795,776 1,851 1,853,667 

15 Above poverty, <= $75K 2,367 1,306,800 1,099 1,315,603 

15 Below poverty 1,228 792,303 662 854,463 

15 Unknown 489 261,249 129 225,329 

16 Above poverty, > $75K 3,743 1,763,503 1,816 1,783,697 

16 Above poverty, <= $75K 2,358 1,297,769 1,124 1,324,230 

16 Below poverty 1,226 751,348 674 760,236 

16 Unknown 507 311,151 137 332,042 

17 Above poverty, > $75K 3,693 1,859,455 1,766 1,825,669 

17 Above poverty, <= $75K 2,297 1,349,791 1,038 1,273,279 

17 Below poverty 1,108 709,263 555 658,535 

17 Unknown 455 262,847 122 254,507 

Total 38,706 20,795,755 18,700 20,795,755 

* 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 

216

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

National Immunization Survey - Teen, 2018 

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 1,894 1,127,175 892 1,067,915 

Hispanic Above poverty, <= $75K 2,575 1,595,749 1,230 1,612,077 

Hispanic Below poverty 2,998 1,897,481 1,625 1,912,462 

Hispanic Unknown 766 409,018 275 435,905 

Non-Hispanic 

White Only Above poverty, > $75K 13,590 6,184,514 6,912 6,324,299 

Non-Hispanic 

White Only Above poverty, <= $75K 6,268 3,003,034 3,026 2,950,298 

Non-Hispanic 

White Only Below poverty 1,634 984,839 926 1,008,899 

Non-Hispanic 

White Only Unknown 1,133 645,239 264 505,554 

Non-Hispanic 

Black Only Above poverty, > $75K 1,058 744,326 389 710,461 

Non-Hispanic 

Black Only Above poverty, <= $75K 1,395 1,192,651 607 1,213,103 

Non-Hispanic 

Black Only Below poverty 833 694,314 443 798,869 

Non-Hispanic 

Black Only Unknown 213 175,601 48 118,011 

Non-Hispanic 

Other & 

Multiple Race

Above poverty, > $75K 2,023 937,338 963 973,030 

Non-Hispanic 

Other & 

Multiple Race

Above poverty, <= $75K 1,445 681,296 697 655,935 

Non-Hispanic 

Other & 

Multiple Race

Below poverty 623 359,002 333 315,950 

Non-Hispanic 

Other & 

Multiple Race

Unknown 258 164,179 70 192,986 

Total 38,706 20,795,755 18,700 20,795,755 

* 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 

217

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

National Immunization Survey - Teen, 2018 

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 1,688 1,056,086 880 1,116,513 

13 Non-Hispanic White Only 4,409 2,125,711 2,251 2,150,070 

13 Non-Hispanic Black Only 682 560,605 298 587,737 

13 

Non-Hispanic Other & 

Multiple Races 889 407,772 423 396,049 

14 Hispanic 1,674 1,044,182 852 1,042,093 

14 Non-Hispanic White Only 4,564 2,179,245 2,284 2,082,258 

14 Non-Hispanic Black Only 694 522,376 310 552,157 

14 

Non-Hispanic Other & 

Multiple Races 909 438,523 429 407,623 

15 Hispanic 1,701 1,016,050 790 1,022,763 

15 Non-Hispanic White Only 4,553 2,203,673 2,241 2,274,176 

15 Non-Hispanic Black Only 690 531,511 280 543,800 

15 

Non-Hispanic Other & 

Multiple Races 866 404,895 430 408,321 

16 Hispanic 1,646 957,054 808 995,769 

16 Non-Hispanic White Only 4,595 2,114,348 2,228 2,177,322 

16 Non-Hispanic Black Only 709 585,559 309 577,944 

16 

Non-Hispanic Other & 

Multiple Races 884 466,810 406 449,169 

17 Hispanic 1,524 956,052 692 851,221 

17 Non-Hispanic White Only 4,504 2,194,648 2,124 2,105,223 

17 Non-Hispanic Black Only 724 606,840 290 578,807 

17 

Non-Hispanic Other & 

Multiple Races 801 423,816 375 476,739 

Total 38,706 20,795,755 18,700 20,795,755 

* 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 

218

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

Immunization Survey - Teen, 2018 

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 4,019 2,132,002 2,007 2,188,845 

13 Female 3,649 2,018,171 1,845 2,061,524 

14 Male 4,064 2,064,569 1,988 1,976,962 

14 Female 3,777 2,119,758 1,887 2,107,169 

15 Male 4,033 2,050,829 1,891 2,082,728 

15 Female 3,777 2,105,299 1,850 2,166,333 

16 Male 4,135 2,167,535 1,994 2,217,537 

16 Female 3,699 1,956,237 1,757 1,982,667 

17 Male 4,050 2,195,677 1,892 2,144,539 

17 Female 3,503 1,985,678 1,589 1,867,450 

Total 38,706 20,795,755 18,700 20,795,755 

* 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 

219

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, 2018 

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††† 91.2(±0.8) 88.9(±0.8) 86.6(±0.9) 69.9(±1.8) 53.7(±1.9) 66.3(±1.7) 48.7(±1.9) 68.1(±1.2) 51.1(±1.3)

Alabama 92.3(±3.9) 89.4(±4.5) 80.0(±5.3) 69.1(±8.6) 52.0(±9.6) 60.4(±9.2) 48.4(±9.5) 64.7(±6.3) 50.2(±6.8)

Alaska 80.6(±4.8) 79.6(±4.9) 69.2(±5.4) 65.7(±8.1) 45.3(±8.5) 67.1(±7.5) 42.9(±8.1) 66.4(±5.5) 44.1(±5.9)

Arizona 89.8(±3.9) 82.9(±5.3) 89.1(±4.2) 65.3(±9.9) 51.0(±10.1) 69.1(±8.4) 50.4(±9.6) 67.2(±6.5) 50.7(±6.9)

Arkansas 92.0(±3.6) 90.2(±4.0) 91.7(±3.9) 65.9(±8.9) 46.4(±9.7) 56.0(±9.5) 39.0(±9.5) 60.8(±6.6) 42.6(±6.8)

California 91.9(±4.1) 89.7(±4.5) 85.6(±5.1) 68.4(±9.6) 50.1(±10.1) 78.4(±8.2) 55.1(±10.3) 73.5(±6.4) 52.6(±7.2)

Colorado 93.2(±3.9) 90.3(±4.2) 84.9(±5.4) 72.3(±9.8) 59.0(±10.8) 81.9(±7.6) 65.8(±9.7) 77.2(±6.2) 62.5(±7.3)

Connecticut 95.7(±2.8) 95.4(±2.8) 92.1(±4.3) 70.1(±9.1) 54.7(±9.7) 70.8(±9.1) 51.6(±9.7) 70.5(±6.4) 53.1(±6.9)

Delaware 90.7(±4.2) 89.1(±4.4) 85.9(±5.2) 77.3(±8.6) 63.9(±9.8) 70.7(±9.2) 53.1(±9.8) 73.9(±6.3) 58.4(±7.0)

Dist. of Columbia 89.1(±5.0) 86.1(±5.6) 93.8(±3.8) 83.1(±8.3) 73.5(±9.6) 88.9(±7.1) 69.2(±10.6) 86.0(±5.5) 71.3(±7.2)

Florida 92.7(±3.4) 90.1(±3.9) 76.3(±5.8) 66.0(±9.4) 52.9(±10.1) 62.3(±9.2) 40.5(±9.2) 64.1(±6.6) 46.5(±6.9)

Georgia 94.5(±2.7) 94.2(±2.8) 94.8(±2.7) 70.7(±8.3) 53.7(±9.3) 65.6(±8.7) 45.6(±9.1) 68.1(±6.0) 49.6(±6.6)

Hawaii 86.5(±4.4) 85.8(±4.5) 83.6(±4.9) 77.4(±7.5) 62.5(±8.7) 76.1(±8.0) 58.9(±9.2) 76.7(±5.5) 60.7(±6.4)

Idaho 89.3(±4.4) 86.7(±4.8) 89.4(±4.3) 67.7(±9.3) 47.9(±9.9) 59.8(±9.5) 39.2(±8.9) 63.6(±6.7) 43.4(±6.7)

Illinois 93.8(±2.1) 91.7(±2.4) 91.5(±2.4) 73.2(±5.7) 55.9(±6.4) 65.8(±6.0) 51.0(±6.3) 69.4(±4.1) 53.4(±4.5)

IL-City of Chicago 95.8(±4.0) 93.0(±5.3) 93.7(±4.0) 85.4(±9.7) 63.6(±14.0) 82.9(±11.1) 66.3(±13.2) 84.1(±7.4) 65.0(±9.6)

IL-Rest of State 93.4(±2.5) 91.5(±2.7) 91.0(±2.8) 70.6(±6.5) 54.3(±7.1) 62.3(±6.8) 47.9(±7.1) 66.3(±4.7) 51.0(±5.0)

Indiana 92.3(±3.5) 88.5(±4.4) 89.3(±3.9) 66.9(±9.3) 55.7(±9.9) 63.3(±8.3) 42.5(±8.9) 65.0(±6.2) 48.9(±6.7)

Iowa 95.7(±2.6) 94.0(±2.9) 89.2(±4.4) 78.6(±7.5) 61.9(±9.4) 68.4(±9.1) 48.6(±9.7) 73.4(±6.0) 55.1(±6.9)

Kansas 90.2(±4.2) 89.4(±4.3) 75.3(±5.8) 60.5(±9.8) 38.1(±9.5) 64.0(±8.7) 43.2(±9.2) 62.3(±6.6) 40.7(±6.6)

Kentucky 86.6(±5.0) 84.9(±5.1) 84.4(±5.3) 58.6(±9.6) 45.4(±9.9) 55.2(±9.5) 39.9(±9.3) 56.9(±6.8) 42.6(±6.8)

Louisiana 91.1(±4.4) 90.8(±4.4) 84.9(±5.3) 70.4(±9.2) 52.9(±10.7) 64.0(±9.2) 40.8(±9.7) 67.2(±6.6) 46.7(±7.3)

Maine 88.1(±4.6) 85.8(±4.9) 83.1(±5.2) 68.8(±9.0) 52.0(±9.8) 61.4(±9.5) 49.5(±9.6) 65.0(±6.6) 50.7(±6.8)

Maryland 91.3(±3.5) 88.4(±4.2) 91.8(±3.9) 76.4(±8.3) 60.9(±9.6) 73.1(±8.6) 55.4(±9.5) 74.7(±6.0) 58.1(±6.8)

Massachusetts 93.7(±3.4) 91.2(±4.1) 94.7(±3.4) 82.8(±8.3) 66.6(±9.9) 87.6(±6.6) 70.6(±9.0) 85.2(±5.3) 68.7(±6.7)

Michigan 94.7(±3.0) 93.8(±3.1) 95.9(±2.6) 76.4(±8.4) 56.9(±9.9) 68.6(±8.6) 53.3(±9.0) 72.5(±6.1) 55.0(±6.7)

Minnesota 94.3(±3.1) 90.7(±4.4) 88.9(±4.6) 84.9(±6.9) 62.2(±10.8) 68.8(±9.6) 55.6(±10.3) 76.7(±6.2) 58.8(±7.5)
Summary Tables APPENDIX E 

220

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 91.8(±4.0) 90.0(±4.3) 64.0(±6.6) 59.2(±9.6) 38.1(±9.8) 44.7(±9.5) 27.3(±8.6) 51.7(±6.9) 32.6(±6.6)

Missouri 82.0(±5.4) 80.6(±5.6) 78.3(±5.8) 67.0(±9.0) 51.1(±9.6) 56.4(±9.2) 33.5(±8.7) 61.6(±6.5) 42.1(±6.6)

Montana 89.8(±4.0) 86.7(±4.8) 75.6(±5.9) 66.5(±9.4) 53.0(±9.7) 66.2(±9.0) 43.9(±9.6) 66.4(±6.5) 48.4(±6.8)

Nebraska 91.1(±4.4) 89.0(±4.7) 84.0(±5.3) 80.6(±8.4) 66.6(±9.7) 70.9(±9.0) 59.0(±9.7) 75.6(±6.2) 62.7(±6.9)

Nevada 87.2(±4.2) 85.2(±4.6) 80.6(±5.0) 66.0(±8.5) 49.4(±9.2) 66.0(±8.3) 52.7(±8.8) 66.0(±5.9) 51.1(±6.4)

New Hampshire 98.5(±1.0) 97.5(±1.8) 86.2(±4.5) 79.7(±8.1) 66.4(±9.5) 75.1(±8.9) 68.5(±9.5) 77.4(±6.0) 67.4(±6.7)

New Jersey 93.1(±3.5) 88.4(±4.2) 91.9(±3.5) 69.7(±8.9) 51.5(±9.5) 61.3(±9.4) 45.7(±9.3) 65.4(±6.5) 48.5(±6.7)

New Mexico 90.9(±3.8) 88.1(±4.2) 79.7(±5.6) 70.7(±9.4) 58.4(±10.0) 72.8(±7.8) 55.6(±9.1) 71.8(±6.1) 57.0(±6.7)

New York 93.1(±2.4) 91.7(±2.6) 94.9(±2.3) 67.3(±8.0) 56.4(±8.1) 67.2(±6.9) 58.1(±7.1) 67.3(±5.3) 57.3(±5.4)

NY-City of New York 89.6(±4.0) 88.5(±4.2) 93.9(±3.4) 70.0(±11.0) 54.9(±11.3) 74.1(±8.7) 61.6(±9.8) 72.1(±7.0) 58.3(±7.5)

NY-Rest of State 95.3(±2.9) 93.8(±3.3) 95.5(±3.1) 65.6(±11.2) 57.5(±11.2) 62.8(±9.7) 55.9(±9.8) 64.1(±7.4) 56.7(±7.4)

North Carolina 90.4(±4.0) 89.1(±4.1) 86.1(±4.6) 72.2(±8.3) 53.7(±9.4) 65.2(±9.1) 50.5(±9.5) 68.6(±6.2) 52.1(±6.7)

North Dakota 91.1(±4.2) 90.2(±4.3) 92.5(±4.0) 82.9(±7.8) 72.2(±9.2) 70.7(±9.1) 55.5(±9.7) 76.7(±6.1) 63.6(±6.8)

Ohio 91.5(±3.3) 89.1(±3.9) 85.2(±4.3) 69.7(±8.2) 59.1(±9.0) 66.9(±8.6) 57.3(±9.2) 68.3(±6.0) 58.2(±6.4)

Oklahoma 87.6(±4.5) 87.1(±4.5) 72.9(±5.6) 66.3(±8.7) 43.9(±9.1) 52.3(±8.2) 32.1(±7.4) 59.1(±6.1) 37.9(±5.9)

Oregon 89.3(±4.6) 86.1(±4.9) 83.0(±5.1) 80.1(±6.7) 59.0(±9.5) 70.7(±9.5) 57.5(±9.9) 75.3(±6.0) 58.2(±6.9)

Pennsylvania 92.5(±3.8) 90.0(±4.2) 94.3(±2.6) 75.9(±7.6) 62.3(±8.8) 68.3(±9.0) 46.3(±9.5) 72.0(±6.0) 54.1(±6.7)

PA-Philadelphia 94.2(±3.6) 90.1(±4.7) 93.0(±4.2) 86.3(±7.7) 67.1(±10.8) 93.1(±4.6) 75.7(±8.5) 89.8(±4.5) 71.5(±6.9)

PA-Rest of State 92.3(±4.3) 90.0(±4.8) 94.5(±2.9) 74.5(±8.6) 61.6(±9.9) 65.1(±10.2) 42.5(±10.6) 69.7(±6.7) 51.8(±7.5)

Rhode Island 98.5(±1.2) 96.3(±2.3) 98.7(±1.1) 87.0(±6.0) 76.1(±7.7) 91.5(±5.5) 80.0(±7.3) 89.3(±4.1) 78.1(±5.3)

South Carolina 90.9(±3.7) 88.9(±4.1) 79.7(±5.2) 66.7(±9.0) 44.8(±9.5) 60.7(±9.2) 37.7(±9.3) 63.7(±6.4) 41.2(±6.7)

South Dakota 88.4(±4.0) 86.6(±4.4) 85.3(±4.2) 66.5(±8.4) 46.3(±8.7) 70.8(±7.9) 52.5(±8.7) 68.7(±5.7) 49.5(±6.2)

Tennessee 92.1(±3.5) 90.7(±3.7) 85.2(±4.8) 60.9(±10.0) 47.5(±10.3) 63.7(±9.1) 41.5(±9.7) 62.3(±6.8) 44.4(±7.1)

Texas 86.4(±2.4) 83.4(±2.6) 86.7(±2.4) 64.6(±4.9) 47.8(±5.1) 55.5(±4.9) 39.4(±4.7) 59.9(±3.5) 43.5(±3.5)

TX-Bexar County 89.9(±3.9) 86.2(±4.8) 89.1(±4.1) 71.1(±9.0) 52.5(±9.7) 59.7(±9.8) 43.6(±9.8) 65.4(±6.7) 48.0(±6.9)

TX-City of Houston 85.8(±6.2) 82.8(±6.6) 86.7(±5.6) 77.1(±10.6) 54.2(±12.5) 63.6(±11.6) 47.8(±11.7) 70.1(±8.0) 50.9(±8.6)

TX-Hidalgo County 88.8(±5.4) 83.8(±6.0) 88.2(±5.4) 69.4(±11.0) 49.7(±11.6) 63.5(±9.9) 49.2(±10.3) 66.3(±7.4) 49.4(±7.7)

TX-Tarrant County 87.6(±4.4) 84.7(±4.8) 87.6(±4.3) 63.8(±8.9) 45.5(±9.4) 61.7(±8.7) 46.4(±8.9) 62.8(±6.2) 45.9(±6.4)

TX-Rest of State 85.9(±3.1) 83.1(±3.4) 86.3(±3.1) 62.7(±6.3) 46.9(±6.5) 53.3(±6.3) 37.0(±5.9) 58.0(±4.5) 41.9(±4.4)

Utah 90.4(±4.0) 89.9(±4.1) 85.2(±5.0) 76.7(±7.6) 48.6(±10.1) 57.2(±9.3) 38.1(±9.5) 66.7(±6.2) 43.2(±6.9)
Summary Tables APPENDIX E 

221

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 96.0(±2.2) 95.1(±2.6) 90.0(±3.6) 82.9(±6.5) 59.6(±9.1) 73.9(±7.3) 64.3(±8.1) 78.3(±4.9) 62.0(±6.1)

Virginia 91.5(±5.0) 90.3(±5.2) 79.7(±7.3) 70.6(±12.0) 59.1(±13.1) 64.0(±12.6) 50.8(±13.3) 67.2(±8.7) 54.9(±9.4)

Washington 86.6(±5.4) 82.0(±6.1) 83.7(±5.5) 74.6(±8.8) 56.3(±10.0) 68.2(±10.1) 47.0(±10.8) 71.3(±6.7) 51.6(±7.4)

West Virginia 90.8(±3.9) 87.9(±4.3) 88.7(±4.0) 69.3(±8.0) 52.9(±8.9) 53.7(±8.4) 33.5(±7.8) 61.3(±5.9) 42.9(±6.0)

Wisconsin 91.7(±3.6) 87.2(±4.4) 85.8(±4.3) 72.8(±8.0) 61.0(±8.7) 67.1(±7.8) 50.7(±8.6) 69.8(±5.6) 55.7(±6.1)

Wyoming 90.6(±4.2) 89.1(±4.4) 65.1(±7.0) 67.2(±10.1) 54.4(±10.8) 40.7(±10.1) 30.3(±9.6) 53.5(±7.5) 42.0(±7.6)

* Estimate presented as point estimate (%) ± 95% confidence interval (CI). Estimate=NA (Not Available) if the unweighted sample size for the denominator was <30 or (95% 

CI half width)/Estimate > 0.6.

† Estimates with 95% CI half-widths >10 may not be reliable. 

§ Adolescents in the 2018 NIS-Teen were born between January 2000 and January 2006. 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 

222

Appendix F: Vaccine Type Codes

Table F.1: Vaccine Type Codes, National Immunization Survey - Teen, 2018 

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 

223

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, 2006-2018 APPENDIX G 

 224

Appendix G: Trends in the NIS-Teen Response Rates and 

Vaccination Coverage Rates, 2006-2018 

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. 

§ In 2006 and 2007, NIS-Teen was conducted only in Quarter 4.
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2018 APPENDIX G 

 225

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. 

† 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 present. Note that these data apply to the landline sample only.

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, 2006-2018 APPENDIX G 

 226

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

Survey Year, National Immunization Survey - Teen, 2011-2018†

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 

* 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.

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

Collection by Survey Year, National Immunization Survey - Teen, 2011-2018* 

* Excludes U.S. territories. 

20

30

40

50

60

70

80

90

100

2011 2012 2013 2014 2015 2016 2017 2018

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, 2006-2018 APPENDIX G 

 227

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. 

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.
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2018 APPENDIX G 

 228

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 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 

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 

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, 2006-2018 APPENDIX G 

 229

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, 2006-2018 APPENDIX G 

 230

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

Immunization Survey - Teen, 2006-2018* 

Survey Year

≥ 1 Td 

or 

Tdap†

≥ 1 Tdap 

Since Age 

10§

≥ 1 

MenACWY¶

FEMALE

≥ 1 Dose 

HPV**

FEMALE

≥ 3 Doses 

HPV††

MALE

≥ 1 Dose 

HPV**

MALE

≥ 3 Doses 

HPV††

≥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 25.1 88.9 87.6 65.8 18.8

2008 72.2 40.8 41.8 37.2 17.9 89.3 87.9 59.8 34.1

2009 76.2 55.6 53.6 44.3 26.7 89.1 89.9 52.7 48.6

2010 81.2 68.7 62.6 48.7 31.9 90.4 91.6 44.7 58.1

2011§§§ 85.3 78.2 70.5 53.0 34.8 8.3 1.3 91.1 92.3 36.6 68.3

2012 88.5 84.6 74.0 53.8 33.4 20.8 6.8 91.4 92.8 30.6 74.9

2013 89.1 86.0 77.8 57.3 37.6 34.6 13.9 91.8 93.2 25.4 78.5

2014¶¶¶ 89.8 87.6 79.3 60.0 39.7 41.7 21.6 90.7 91.4 21.0 81.0

2015 89.6 86.4 81.3 62.8 41.9 49.8 28.1 90.7 91.1 17.8 86.1

2016 90.6 88.0 82.2 65.1 43.0 56.0 31.5 90.9 91.4 15.2 85.6

2017 90.7 88.7 85.1 68.6 44.0 62.6 34.8 92.1 91.9 13.2 88.6

2018**** 91.2 88.9 86.6 69.9 37.9 66.3 32.1 

* 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.

** ≥1 human papillomavirus vaccine, 9-valent (9vHPV), quadrivalent (4vHPV) or bivalent (2vHPV). 

†† ≥3 human papillomavirus vaccine, 9-valent (9vHPV), quadrivalent (4vHPV) or bivalent (2vHPV). Some adolescents may have received more than the three recommended 

HPV doses. 

§§ ≥ 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. 
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2018 APPENDIX G 

 231

**** 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, 2006-2018 APPENDIX G 

 232

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, 2006-2018* 

 

* 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.

0

10

20

30

40

50

60

70

80

90

100

2006† 2007† 2008 2009 2010 2011§ 2012 2013 2014¶ 2015 2016 2017 2018**

Percent

Year

≥ 1 Td or Tdap

≥ 1 Tdap since age 10

≥ 1 MenACWY

≥ 1 HPV (females)

≥ 3 doses HPV (females)

≥ 1 HPV (males)

≥ 3 doses HPV (males)

≥2 MMR

≥ 3 HepB

≥ 2 doses varicella vaccine if had no history of varicella disease
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2018 APPENDIX G 

 233

¶ 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 2018. 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 

 234

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, 2018 

Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Children with 

Adequate Provider 

Data (%)

U.S. National† 40.9 79.2 71.9 23.3 48.3

Alabama 47.7 80.6 71.0 27.3 47.3

Alaska 61.1 81.5 79.0 39.3 55.6

Arizona 36.3 81.8 72.7 21.6 42.2

Arkansas 52.0 81.1 70.9 29.9 48.4

California 37.9 80.2 68.9 21.0 47.2

Colorado 33.1 83.1 72.8 20.0 48.7

Connecticut 30.8 79.6 72.4 17.8 48.8

Delaware 35.2 71.8 70.3 17.8 50.9

District of Columbia 31.6 73.3 74.1 17.2 43.7

Florida 37.2 82.4 68.3 20.9 42.8

Georgia 40.4 81.1 69.9 22.9 48.4

Hawaii 35.9 74.1 70.9 18.9 51.2

Idaho 36.0 81.8 77.5 22.8 51.3

Illinois 47.5 80.7 68.3 26.2 47.1

 IL-City of Chicago 52.0 78.5 63.5 25.9 45.5

 IL-Rest of State 45.4 82.1 71.4 26.6 47.7

Indiana 40.0 83.3 72.9 24.3 47.7

Iowa 48.2 84.2 77.0 31.2 55.7

Kansas 36.9 83.0 74.9 23.0 50.3

Kentucky 47.6 81.5 72.3 28.0 49.9

Louisiana 50.0 81.1 68.6 27.8 45.4

Maine 38.4 77.7 76.2 22.8 49.6

Maryland 31.3 82.3 71.2 18.3 42.7

Massachusetts 36.0 81.3 68.7 20.1 50.0

Michigan 40.6 83.9 73.9 25.1 49.9

Minnesota 36.3 83.5 75.8 23.0 51.4

Mississippi 45.4 77.9 70.7 25.0 46.3

Missouri 39.0 83.1 71.3 23.1 48.9

Montana 45.3 81.7 80.4 29.8 52.3

Nebraska 52.6 81.4 75.3 32.2 50.7

Nevada 38.9 79.1 68.7 21.1 42.3
Key NIS-Teen Response Rates by Area APPENDIX H 

 235

Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Children with 

Adequate Provider 

Data (%)

New Hampshire 36.9 75.1 75.7 21.0 48.4

New Jersey 34.9 79.5 68.2 18.9 42.2

New Mexico 44.2 81.5 74.3 26.8 52.3

New York 36.0 78.3 64.7 18.2 43.5

 NY-City of New York 35.8 77.0 62.8 17.3 39.4

 NY-Rest of State 36.2 81.5 68.9 20.3 48.4

North Carolina 37.0 81.9 71.8 21.7 48.2

North Dakota 50.6 78.5 76.3 30.3 50.5

Ohio 37.1 83.1 74.4 22.9 49.5

Oklahoma 50.8 82.1 73.3 30.6 46.4

Oregon 33.3 84.7 75.5 21.3 53.3

Pennsylvania 33.6 77.0 69.8 18.1 47.7

 PA-Philadelphia County 33.6 76.3 69.6 17.9 45.6

 PA-Rest of State 33.5 83.7 71.7 20.1 49.0

Rhode Island 38.3 70.5 70.8 19.1 56.2

South Carolina 41.1 80.8 72.0 23.9 46.4

South Dakota 46.3 78.7 76.1 27.7 54.3

Tennessee 40.3 82.6 72.8 24.2 48.5

Texas 42.0 79.5 68.5 22.9 46.8

 TX-Bexar County 44.1 79.3 68.5 24.0 45.1

 TX-City of Houston 37.6 79.6 69.2 20.7 40.1

 TX-Hidalgo County 49.4 77.8 66.1 25.4 53.0

 TX-Tarrant County 35.8 81.1 69.9 20.3 43.6

 TX-Rest of State 42.8 79.8 74.3 25.4 48.6

Utah 37.2 81.1 77.9 23.5 54.6

Vermont 39.4 69.1 80.4 21.9 58.7

Virginia 35.9 82.4 69.6 20.6 44.3

Washington 33.4 82.4 79.5 21.9 50.1

West Virginia 43.6 76.3 73.8 24.5 50.1

Wisconsin 41.9 84.0 72.1 25.4 49.3

Wyoming 66.4 73.9 74.1 36.3 47.1

* For the definition of the key indicators see Table 1.

† Excludes U.S. territories.