National Immunization Survey-Teen

A User’s Guide for the 2017

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

October 2018
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page i 

Acknowledgments 

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

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

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

Singleton, and Tanja Y. Walker.

NORC – Rachel Bavley, Benjamin Skalland, Xian Tao, and Kirk Wolter. 
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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..................................................................................... 10

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

2.4. Informed Consent, Security, and Confidentiality of Information............................................. 15

3. Content of NIS-Teen Questionnaires............................................................................................. 17

3.1. Content of the Household Questionnaire.................................................................................. 17

3.2. Content of the Immunization History Questionnaire (IHQ)..................................................... 19

4. Data Preparation and Processing Procedures............................................................................... 21

4.1. Data Preparation ....................................................................................................................... 21

4.1.1. Editing in the CATI System ........................................................................................ 22

4.1.2. Post-CATI Edits .......................................................................................................... 22

4.1.3. Editing of Provider Data.............................................................................................. 23

4.2. Limitations of Data Editing Procedures.................................................................................... 24

4.3. Variable-Naming Conventions................................................................................................. 25

4.4. Missing Value Codes................................................................................................................ 25

4.5. Imputation for Item Non-Response .......................................................................................... 25

4.6. Vaccine-Specific Recoding of Verbatim Responses................................................................ 26

4.7. Subsets of the NIS-Teen Data................................................................................................... 26

4.8. Confidentiality and Disclosure Avoidance ............................................................................... 27

5. Quality Control and Quality Assurance Procedures.................................................................... 28

6. Sampling Weights............................................................................................................................ 29

6.1. Base Sampling Weight ............................................................................................................. 30

6.2. Adjustments for Non-Resolution of Telephone Numbers and Screener Non-Response .......... 30

6.3. Adjustment for Subsampling of One Teen per Household....................................................... 31

6.4. Adjustment for Interview Non-Response ................................................................................. 32

6.5. Adjustment for Multiple Telephone Lines and Deriving Annual Weights............................... 32

6.6. Post-Stratification ..................................................................................................................... 33

6.7. Adjustment for Provider Non-Response................................................................................... 35

7. Contents of the Public-Use Data File ............................................................................................. 38

7.1. Section 1: ID, Weight, and Flag Variables............................................................................... 39

7.2. Section 2: Household-Reported Vaccination and Health Information ..................................... 39

7.2.1. Household-Reported Tetanus Vaccine Variables........................................................ 40

7.2.2. Household-Reported Meningococcal Vaccine Variables............................................ 40

7.2.3. Household-Reported Human Papillomavirus (HPV) Vaccine Variables.................... 41
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7.2.4. Household-Reported Health Variables........................................................................ 41

7.3. Section 3: Demographic, Socio-Economic, and Other Household/Teen Information.............. 42

7.4. Section 4: Geographic Variables.............................................................................................. 43

7.5. Section 5: Number of Providers Identified and Consent Variables.......................................... 44

7.6. Section 6: Number of Responding Providers Variables........................................................... 44

7.7. Section 7: Characteristics of Providers Variables..................................................................... 44

7.8. Section 8: Provider-Reported Up-To-Date Vaccination Variables .......................................... 47

7.9. Section 9: Provider-Reported Age-At-Vaccination Variables.................................................. 51

7.10. Section 10: Health Insurance Module Variables ...................................................................... 52

8. Analytic and Reporting Guidelines................................................................................................ 54

8.1. Use of NIS Sampling Weights.................................................................................................. 54

8.2. Estimation and Analysis........................................................................................................... 55

8.2.1. Estimating Vaccination Coverage Rates ..................................................................... 55

8.2.2. Estimating Standard Errors of Vaccination Coverage Rates....................................... 56

8.3. Combining Multiple Years of NIS-Teen Data.......................................................................... 57

8.3.1. Estimation of Multi-Year Means................................................................................. 57

8.3.2. Estimation of Multi-Year Contrasts............................................................................. 60

9. Summary Tables.............................................................................................................................. 65

10. Assessment of Total Survey Error in the NIS-Teen...................................................................... 66

11. Limitations........................................................................................................................................ 70

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

13. References......................................................................................................................................... 81
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Appendices

Appendix A: Glossary of Abbreviations and Terms................................................................................... 85

Appendix B: Summary Statistics for Sampling Weights by Estimation Area............................................ 87

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................................................................................................................................... 91

Appendix D: Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files......................... 126

Appendix E: Summary Tables.................................................................................................................. 200

Appendix F: Vaccine Type Codes............................................................................................................ 210

Appendix G: Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2017..... 212

Appendix H: Key NIS-Teen Response Rates by Area.............................................................................. 220
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List of Tables and Figures 

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

Teen, 2017............................................................................................................................... 14

Table 2: Content of the Household Interview, National Immunization Survey – Teen, 2017 .............. 18

Table 3: Vaccine Categories and Vaccine Types, National Immunization Survey - Teen, 2017.......... 50

Table 4: Summary of Weights and Stratum Variables, National Immunization Survey - Teen, 2017.. 55

Table 5: Cross-Walk Between ESTIAPT08-ESTIAPT17 and Common Denominator Estimation 

Area (CDIAP), National Immunization Survey - Teen, 2017................................................. 62

Figure 1: Comparison of Estimated Mean Total Error for ≥1 Tdap, ≥1 MenACWY, and ≥1 HPV 

Vaccine Dose among Females by Survey Year, Including Components for Coverage 

Error, Nonresponse Error, and Sampling Error, National Immunization Survey - Teen, 

2009-2013................................................................................................................................ 68

Figure 2: Comparison of Estimated Mean Total Error for ≥1 Tdap, ≥1 MenACWY, and ≥1 HPV 

Vaccine Dose among Females by Survey Year, Including Components for Coverage 

Error, Nonresponse Error, Under-Reporting Error, and Sampling Error, National 

Immunization Survey - Teen, 2012-2013................................................................................ 69

Table B.1: Distribution of Dual-Frame Sampling Weights for Teens with Completed Household 

Interviews, National Immunization Survey - Teen, 2017 ....................................................... 87

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

National Immunization Survey - Teen, 2017 .......................................................................... 89

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

Survey - Teen, 2008-2017..................................................................................................... 126

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, 2017 ..................................... 200

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

National Immunization Survey - Teen, 2017 ........................................................................ 202

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

National Immunization Survey - Teen, 2017 ........................................................................ 203

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

National Immunization Survey - Teen, 2017 ........................................................................ 204

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

National Immunization Survey - Teen, 2017 ........................................................................ 205

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

Immunization Survey - Teen, 2017....................................................................................... 206
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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, 2017................................................................................................................ 207

Table F.1: Vaccine Type Codes, National Immunization Survey - Teen, 2017 ..................................... 210

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

Year, National Immunization Survey - Teen, 2006-2017 ..................................................... 212

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

Survey Year, National Immunization Survey - Teen, 2006-2017......................................... 213

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

Year, National Immunization Survey - Teen, 2011-2017 ..................................................... 214

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

Collection by Survey Year, National Immunization Survey - Teen, 2011-2017 .................. 214

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

Year, National Immunization Survey - Teen, 2011-2017 ..................................................... 215

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.................................... 215

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

by Survey Year, National Immunization Survey - Teen, 2006-2017.................................... 217

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, 2006-2017.............. 218

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

Survey - Teen, 2017 .............................................................................................................. 220

Table H.2: Key Indicators for the Cell-Phone Sample by Estimation Area, National Immunization 

Survey - Teen, 2017 .............................................................................................................. 222

Table H.3: CASRO Response Rate for the Combined Landline and Cell-Phone Samples by 

Estimation Area, National Immunization Survey - Teen, 2017 ............................................ 224

 
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Convention for Bolding Text 

The Data User's Guide uses bold font 

to highlight substantive changes in the 

methodology or study design from the 

previous year’s Guide. 
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1. Introduction 

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

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

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

vaccination coverage and occurrences of disease. Subsequently, the Healthy People 2020 objectives 

established a target for adolescents aged 13–15 years of 80% coverage with ≥ 1 Tdap, ≥ 1 MenACWY, 

and ≥ 3 HPV doses in females and males, and 90% coverage for ≥ 2 varicella vaccine doses. To fulfill the 

CII mandate of monitoring vaccination coverage and marking progress toward achieving those objectives, 

the National Immunization Survey (NIS) Family of Surveys with an adolescent component called the 

NIS-Teen was implemented by the National Center for Immunization and Respiratory Diseases (NCIRD) 

and the National Center for Health Statistics (NCHS) of the Centers for Disease Control and Prevention 

(CDC) in 2006 (http://www.cdc.gov/vaccines/imz-managers/nis/about.html). 

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

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

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

all routinely recommended vaccines for adolescents and selected catch-up vaccines (Robinson et al.

2017). 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 2017 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 2017 NIS-Teen, there are 60 geographic strata for which vaccine coverage 

levels can be estimated, including 8 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 60 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 2017 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 2017, the 

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

Travis 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 2017 public-use data file to protect respondent confidentiality, as 

the sampling fractions were large in these small-population areas. Interested researchers can access data 

for 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 2017 as data collection in these areas was 

suspended due to Hurricane Maria.

In 2017, the NIS-Teen utilized a dual-frame sampling design with independent samples drawn from 

landline and cell-phone sampling frames. The cell-phone component was added to the survey in 2011 in 

order to address the rapid rise of cell-phone-only households. Published estimates from the JulyDecember 2017 National Health Interview Survey (NHIS) indicate that the number of households 

with only wireless telephones continues to increase. Approximately 61.8% of all children under 18

years of age—over 45 million children—live in households with only wireless telephones (Blumberg 

and Luke 2018). Several of the sampling, data collection, and estimation procedures differ for the cellphone sample as compared to the landline sample, as noted throughout this report.
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For the 2017 NIS-Teen landline sample, household interviews began on January 5, 2017 and ended 

on January 19, 2018; for the 2017 NIS-Teen cell-phone sample, household interviews began on 

January 5, 2017, and ended on January 26, 2018. Provider data collection extended from February

2017 through April 2018 for the landline sample and from January 2017 through April 2018 for the 

cell-phone sample. A total sample (including sample from Guam) of approximately 18.2 million 

telephone numbers (5.2 million landline and 13.1 million cell-phone) yielded household interviews 

for 44,237 teens (6,966 landline and 37,271 cell-phone), 21,331 of whom (3,761 landline and 17,570

cell-phone) 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 2017 

NIS-Teen public-use data file (which does not include data for Guam) contains data for 43,591

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

vaccination histories and facility data) for 20,949 teens with adequate provider data (including 141

unvaccinated teens). Data were collected in Guam in 2017, although children 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 included on the 2017 public-use data file as data collection in 

these areas was suspended due to Hurricane Maria.

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 2017 

will be directly comparable to NIS-Teen estimates published since 2014, but not to estimates published

prior to 2014. 
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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. 

The 2017 public-use data file includes only dual-frame weights. The CDC has determined that the dualframe estimates are the best estimates for 2017 in terms of minimizing any bias due to the incompleteness 

of the landline sampling frame. Section 6 of this user’s guide provides information about the creation of 

the weight variables included in the 2017 NIS-Teen public-use data file, and Section 8 provides guidance 

for their use. 

Vaccination coverage estimates for 2017 are available on the TeenVaxView website,

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

The accompanying codebook (NCIRD 2018) documents the contents of the 2017 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 2017 and previous public-use data files. 

Additional information on the NIS-Teen is available at: http://www.cdc.gov/vaccines/imzmanagers/nis/about.html. 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 6 

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

Dissemination Staff: 

Information Dissemination Staff, NCIRD 

1600 Clifton Road

Atlanta, GA 30333

E-mail: cdcinfo@cdc.gov

Internet: https://www.cdc.gov/vaccines/imz-managers/nis/index.html
Data User’s Guide for the 2017 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), and Jain et al. 

(2009).

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). Landline telephone and cell-phone 

numbers were sampled within estimation areas in each quarter of 2017. Table E.1 (in Appendix E) lists 

the estimation areas for the 2017 NIS-Teen by state and shows the estimated number of teens living in 

each state and estimation area in 2017.

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. The NIS-Child uses the list-assisted method of RDD 

(Lepkowski 1988) to sample landline telephone numbers. This method selects a random sample of 

telephone numbers from “banks” of 100 consecutive telephone numbers (e.g., 773-256-0000 to 773-256-

0099) that contain at least one directory-listed residential telephone number. The sampling frame of 

telephone numbers is updated each quarter to reflect new telephone exchanges and area codes. Because 

directory listings are not available for cell phones, the NIS-Child cell-phone sample did not use the listassisted method of RDD, but rather used RDD without list-assistance. That is, the cell-phone sample was 

selected from all banks of cell-phone numbers, not just those containing at least one directory-listed 

residential telephone number. Directory listings were also unavailable for landline sample in Guam, so the 

landline and cell-phone samples for this area were selected without list-assistance.
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The target sample size of completed telephone interviews in each estimation area is designed to achieve 

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

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

sample sizes and cell-phone sample sizes were chosen such that they can be combined to meet the target 

coefficient of variation of 6.5%.

In 2017, including Guam sample, 48.2% of teens (54.0% of landline sample teens and 47.1% of cellphone sample teens) with a completed household interview were determined to have adequate 

provider data. Excluding Guam, these proportions were similar: 48.1% (53.6% for the landline 

sample and 47.1% for the cell-phone sample). The percentage of teens with adequate provider data 

varies among the non-territory estimation areas (from 38.6% in City of Houston, TX to 60.0% 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 (142 in 2017, including Guam).

The design and implementation of the NIS-Teen landline sample involve four 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 
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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 a portion of the non-working and non-residential telephone 

numbers, plus numbers on the NIS do-not-call list, from the sample before the interviewers dial them.

Fourth, the sample telephone numbers are matched against a national database of residential landline 

telephone numbers in order to obtain usable mailing addresses for as many sample households as 

possible. To promote participation in the NIS-Child and NIS-Teen, an advance letter is sent to identifiable

mailing addresses approximately two weeks prior to the household interview. 

The design and implementation of the cell-phone sample differs from that of the landline sample in two

ways:

• Prior to 2014, there was no process to remove non-working and non-residential cell-phone 

numbers before dialing them. Beginning in 2014 and 2015, an automated process was 

implemented to remove cell-phone numbers flagged as having no recent activity and that were 

therefore very likely to be non-working cell phones. In 2016, a different automated process found 

to be more efficient in removing non-working cell-phone numbers was used. Following a July 

2016 Federal Communications Commission (FCC) declaratory ruling (FCC 16-72, CG 

Docket No. 02-278) stating that the federal government and contractors working on behalf 

of the federal government are not subject to the restrictions on cell-phone dialing in the 

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

from manual dialing of cell phones to auto-dialing cell phones in November 2016. After this 

transition, the automated process to remove non-working cell-phone numbers was no 

longer cost effective, and beginning in 2017 this process was no longer used in the cell-phone 

sample.
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• Cell-phone numbers were not matched to an external database to obtain mailing addresses. Cellphone sample cases were not sent advance letters.

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 

Provider Record Check is conducted in the same manner for both landline and cell-phone sample cases. 

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 2017 for the 

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

discussed in this section are presented separately for the landline and cell-phone samples, and exclude the 

U.S. territory samples. Adolescents aged 13–17 years during 2017 data collection were born between 

January 1999 and January 2005.

The total landline RDD sample (in replicates that were released for use) consisted of 5,048,198

telephone numbers. Of those, 3,019,871 were eliminated before release to the telephone centers by 

the automated procedure as non-working numbers, non-residential numbers, or numbers on the 

NIS do-not-call list. The remaining 2,028,327 numbers were sent to the telephone centers to be 
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dialed and 230,815 households were identified as shown in Rows C and F. Among the identified 

households, 182,130 (78.9%) were successfully screened. Of these, 8,296 (4.6%) contained an ageeligible teen. Among these households, 6,678 (80.5%) completed the household interview.

The cell-phone sample (in replicates that were released for use) consisted of 12,965,953 telephone 

numbers. Of these, 21,484 were eliminated before release to the telephone centers as numbers on 

the NIS do-not-call list, and the remaining 12,944,469 were sent to the telephone centers to be 

dialed. A total of 1,055,168 active personal cell-phone numbers (APCNs) were identified as shown 

in Row F. Among the identified APCNs, 813,498 (77.1%) were successfully screened. Of these, 

52,226 (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 age-eligible teen. Among the 

identified eligible households, 37,007 (70.9%) 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 2017, the CASRO response rate (Row J) 

for the landline sample was 51.5%. The NIS-Teen CASRO response rate equals the product of the 

resolution rate (81.1%, Row E), the screening completion rate (78.9%, Row G), and the interview 

completion rate among eligible households (80.5%, Row I). The resolution rate is the percentage of the 

total telephone numbers selected that are classifiable as non-working, non-residential, or residential. The 

screening completion rate is the percentage of known households that are successfully screened for the 

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

more age-eligible teens that complete the household interview.

The CASRO response rate (Row J) for the cell-phone sample in 2017 was 23.5%. As with the 

landline sample, it equals the product of the resolution rate (43.1%, Row E), the screening 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 12

completion rate (77.1%, Row G), and the interview completion rate among eligible households 

(70.9%, Row I). 

The CASRO response rate (Row J) for the combined landline and cell-phone sample was 25.7% in 

2017. See footnote 6 of Table 1 for a description of the calculation of the combined CASRO 

response rate.

Row K of Table 1 shows that household interviews were completed for 6,663 age-eligible teens in 

the landline sample and 36,928 teens in the cell-phone sample (or 43,591 age-eligible teens in total). 

These figures are smaller than those 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 – 61.8% for landline sample 

cases and 58.1% for cell-phone sample cases in 2017. 

The number of immunization history questionnaires mailed to vaccination providers exceeds the number 

of completed interviews for teens with consent because some teens have more than one vaccination 

provider. Of the questionnaires mailed to providers of teens from the landline sample, 5,610 (93.8%, 

Row N) were returned. Among the landline-sample teens with completed household interviews, 

3,572 (53.6%, Row O) had adequate vaccination histories based on provider reporting (3,562) or 

were determined to be unvaccinated (10). The other 46.4% 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. 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 13

Of the questionnaires mailed to providers of teens from the cell-phone sample, 28,638 (92.4%, Row 

N) were returned. Among the cell-phone-sample teens with completed household interviews, 17,377 

(47.1%, Row O) had adequate vaccination histories based on provider reporting (17,246) or had no 

vaccinations based on household reporting (131).
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 14

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

Survey – Teen, 2017

Row Key Indicator Landline Sample Cell-Phone Sample Combined Samples Formula 

 Number Percent Number Percent Number Percent 

Household Phase

A 

Total Selected 

Telephone Numbers in 

Released Replicates

 5,048,198 -- 12,965,953 -- 18,014,151 -- 

B 

Phone Numbers 

Resolved before 

Computer-Assisted 

Telephone Interviewing

 3,019,871 59.8% 21,484 0.2% 3,041,355 16.9% B/A 

C 

Total Phone Numbers 

Released to Telephone 

Centers 

 2,028,327 -- 12,944,469 -- 14,972,796 A-B 

D Advance Letters Mailed 700,540 34.5% 0 0.0% 700,540 4.7% D/C

E 

Resolved Phone 

Numbers1 – Resolution 

Rate

 4,094,968 81.1% 5,586,257 43.1% 9,681,225 53.7% E/A

F Households Identified – 

WRN/APCN Rate2 230,815 5.6% 1,055,168 18.9% 1,285,983 13.3% F/E

G 

Households Successfully 

Screened3 – Screener 

Completion Rate

 182,130 78.9% 813,498 77.1% 995,628 77.4% G/F

H Eligible Households – 

Eligibility Rate4 8,296 4.6% 52,226 6.4% 60,522 6.1% H/G

I 

Households with 

Completed Household 

Interviews – Interview 

Completion Rate

 6,678 80.5% 37,007 70.9% 43,685 72.2% I/H 

J CASRO Response Rate5 -- 51.5% -- 23.5% -- 25.7% E*G*I6

K 

Age-Eligible Teens with 

Completed Household 

Interviews7

 6,663 -- 36,928 -- 43,591 -- 

Provider Phase

L 

Teens with Consent to 

Contact Vaccination 

Providers 

4,119 61.8% 21,458 58.1% 25,577 58.7% L/K

M 

Immunization History 

Questionnaires Mailed to 

Providers 

5,979 -- 30,989 -- 36,968 -- 

N 

Immunization History 

Questionnaires Returned 

from Providers

5,610 93.8% 28,638 92.4% 34,248 92.6% N/M

O Teens with Adequate 

Provider Data

3,572 

(includes 10 

unvaccinated 

teens)

53.6% 

17,377 

(includes 131 

unvaccinated 

teens)

47.1% 

20,949 

(includes 141 

unvaccinated 

teens)

48.1% O/K

Modules

P 

Age-Eligible Teens with 

Completed Household 

Interview and 

Completed Health 

Insurance Module

 4,393 65.9% 22,586 61.2% 26,979 61.9% P/K
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 15

1 Includes phone numbers resolved before CATI (Row 2).

2 For the landline sample, this is the working residential number (WRN) rate; for the cell-phone sample, it is the active personal cell-phone number 

(APCN) rate.

3 For the landline sample, this is the age-eligibility screener; for the cell-phone sample, it is a combination of the screener for non-minor-only cell phone 

status and the age-eligibility screener.

4 For the landline sample, this is the age-eligibility rate; for the cell-phone sample, it reflects a combination of the non-minor-only cell-phone rate and 

the age-eligibility rate.

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. 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 households in the cell-phone sample (using CASRO assumptions).

7 Rows K-P reflect the removal of teens with an ineligible best date of birth.

In 2017, data from the Health Insurance Module (HIM) were collected. Among the 6,663 teens in the 

landline sample with completed household interviews, 4,393 (65.9%, Row P) completed the HIM. 

Among the 36,928 teens in the cell-phone sample with completed household interviews, 22,586

(61.2%, 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.

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.
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 16

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 NCHS Disclosure Review Board to protect participant privacy as well as data confidentiality.
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 17

3. Content of NIS-Teen Questionnaires 

This section describes the questionnaires used in the 2017 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.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 2017 NIS-Teen Public-Use Data File Page 18

“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, 2017

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 not administered to 

any respondents 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 2017 NIS-Teen Public-Use Data File Page 19

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 2017 NIS-Teen Public-Use Data File Page 20

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.html.
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 21

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 2017 NIS-Teen Public-Use Data File Page 22

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 2017 NIS-Teen Public-Use Data File Page 23

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 2017 NIS-Teen Public-Use Data File Page 24

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 2017 NIS-Teen Public-Use Data File Page 25

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 2018). 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 2018). 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 2017 NIS-Teen Public-Use Data File Page 26

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 2018) 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_D) 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 2017 NIS-Teen Public-Use Data File Page 27

have a separate weight (PROVWT_D), 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 2017 NIS-Teen Public-Use Data File Page 28

5. Quality Control and Quality Assurance Procedures 

A major contributor to NIS-Teen data quality is its sample management system, which in 2017 managed 

over 490 sample frame by 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 lookups 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 2017 NIS-Teen Public-Use Data File Page 29

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 2017, the dual-frame RDD-phase sampling weight 

variable for producing estimates for teens with completed household interviews is called RDDWT_D. 

The dual-frame provider-phase sampling weight variable for producing estimates for teens with adequate 

provider data is called PROVWT_D. 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, combination of landline and cell-phone sample sources, raking for differential coverage rates, 

non-response by providers, and a final raking adjustment. Note that when deriving dual-frame weights, 

initial adjustments are performed separately for the landline and cell-phones samples, and then both 

samples are combined and further adjustments are performed on the combined samples.
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 30 

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 of the landline sample and cell-phone sample, 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 non-
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 31

response. For the landline sample, each of these adjustments is carried out within each estimation area by 

forming weighting cells based on the residential directory-listed status of the sample telephone number, 

percent of the population that is white in the telephone exchange, and Metropolitan Statistical Area 

(MSA) status of the telephone exchange (i.e., weighting cells were formed from directory-listed versus 

non-directory-listed telephone number; by telephone exchanges with 75% or higher white population 

versus telephone exchanges with less than 75% white population; and MSA/non-MSA status). For the 

cell-phone sample, each of these adjustments is carried out within estimation area by forming weighting 

cells based on MSA/non-MSA status of the wire center associated with the cell-phone number. 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. The order of the variables in cell collapsing for the 

landline sample is MSA status, percent of population that is white, and directory listed status of the 

telephone number, and for the cell-phone sample, 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). This adjustment is performed in an 

identical manner for both the landline and cell-phone samples.
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 32

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, for the landline 

sample, the adjustment is carried out within estimation areas by forming weighting cells based on the 

residential directory-listed status of the sample telephone number, percent of the population that is white 

in the telephone exchange, and MSA status of the telephone exchange. For the cell-phone sample, the 

adjustment is carried out within estimation area 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 non-response adjustment must have sufficient responding cases (usually 15); cells with a 

deficient number of responding cases are collapsed with neighboring cells. The priority of the variables in 

cell collapsing for the landline sample is MSA status, percent of population that is white, and directory 

listed status of the telephone number, and for the cell-phone sample, both MSA categories are collapsed if 

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

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

the responding records within each cell.

6.5. Adjustment for Multiple Telephone Lines and Deriving Annual 

Weights

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

additional telephone lines in the household. Because households with multiple telephone lines have a 

greater chance of being sampled, for the landline sample each teen’s household interview weight is 

adjusted by dividing it by the total number of residential telephone landlines reported in the household 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 33

(up to a maximum of 3), and for the cell-phone sample 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 sample type 

(landline, cell-phone), 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 of the landline and cell-phone 

samples are combined. The adjustment factor is proportional to the number of households with completed 

household interviews in each quarter within sample type (landline, cell-phone) and estimation area. 

6.6. Post-Stratification 

Survey weights for the landline and cell-phone samples must be combined to provide weights for the full 

target population of teens aged 13 to 17 years. Since the proportion of teens living in landline-only 

households is continually decreasing (and thus, the number of landline-only sample cases is small), teens 

in dual landline and cell-phone households from the landline sample are combined with teens in landlineonly households and then adjusted to the combined population estimate of teens living in dual user and 

landline-only households within each estimation area. Teens in cell-phone-only households (from the 

cell-phone sample) within each estimation area are weighted to represent teens in cell-phone-only 

households. Next, since the landline and cell-phone sampling frames overlap in coverage of teens in 

landline and cell-phone dual-use households, teens in dual-user households from both samples are 

combined based on the effective number of teens with a completed household interview within each 

sample type (landline, cell-phone), and are weighted to represent teens in dual-use households within each 

estimation area. Finally, teens in phoneless households, which are excluded from the dual-frame sample, 

are accounted for in the raking step described below.

The control totals used for the 2017 NIS-Teen are derived from a combination of 2016 census population 

estimates and the combined 2014, 2015, and 2016 one-year American Community Survey (ACS) data for 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 34

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

produce population totals as of July 1, 2017. For Guam, the control totals are derived from the 2010 

Census data. The proportion of teens by detailed telephone status (landline-only, landline and cell-phone

dual-user, cell-phone-only, phoneless) within each estimation area in the United States were derived using 

a similar small area modeling approach as described in Blumberg et al. (2011). These modeled telephone 

status estimates are applied to the control total for the total number of teens age 13 through 17 years in the

estimation area to estimate the number of teens age 13 through 17 years by telephone status within the 

estimation area.

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

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

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

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

vaccination coverage estimates.

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

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

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

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

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

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

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

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

times the interquartile range of the weights within an estimation area are truncated to that threshold. The 

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

weights and truncated as before. The process is iterated up to five times. 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 35

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

(RDDWT_D). 

6.7. Adjustment for Provider Non-Response

Among the 43,591 teens with a completed household interview from the landline and cell-phone 

samples (excluding Guam), 20,949 (48.1%) 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 20,949 teens with adequate provider data, 141 were unvaccinated teens. Failure to obtain 

adequate provider data for the remaining 51.9% was attributable to: 

• parent or guardian not giving consent to contact the teen's vaccination provider(s) (41.2%);

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

history questionnaire (5.0%); 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 (5.8%).

The 22,642 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 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 36

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

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

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

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

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

NIS-Teen.

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

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

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

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

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

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

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

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

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

represent all teens in the class. 

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

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

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

non-response-adjusted provider-phase weights. The model for teens with adequate provider data includes 

significant main effects and significant two-way interactions between sample type (landline, cell-phone) 

and all other variables.

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 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 37

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

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

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

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

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

weights” (PROVWT_D). 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 2017 NIS-Teen Public-Use Data File Page 38

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 2018). 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 2016 and 2017 NIS-Teen public-use data files:

• A new 2017 estimation area variable (ESTIAPT17) has been added and the 2016 estimation 

area variable (ESTIAPT16) has been dropped. (See Table 5.) Note that Travis County, 

Texas, a new estimation area added for 2017, is identified by ESTIAPT17=108. Although 

data were collected for Guam in 2017, 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 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 39

are also not included on the 2017 public-use data file as data collection in these areas was 

suspended due to Hurricane Maria.

• The health insurance status variable INS_STAT_I was replaced by a new variable 

INS_STAT2_I, which provides the same information except that teens with both private 

insurance and another non-private, non-Medicaid type of insurance are now categorized as 

(3) Other insurance, instead of (1) Private insurance, and category (1) now designates teens 

with private insurance only.

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_D and PROVWT_D are the final 

household- and provider-phase weights, respectively. PROVWT_D 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 

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

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

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

7.2.1. Household-Reported Tetanus Vaccine Variables 

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

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

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

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

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

TET_REAS_10-TET_REAS_26 store the answers to this choose-all-that-apply question and reflect the 

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

newly-created reason categories. 

7.2.2. Household-Reported Meningococcal Vaccine Variables 

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

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

number of meningococcal vaccinations they recall. Variable MEN_ANY indicates whether any 

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

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

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. 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 41

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

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

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

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

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

by the respondent.

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

of whether they reported the teen has received an HPV vaccination, are asked whether a doctor or other 

health care professional has ever recommended that the teen receive HPV vaccinations 

(HPVI_RECOM), and if so, the respondent is asked at what age the doctor recommended the teen should 

start receiving HPV shots (variable not included on the public-use file). 

All respondents reporting that the teen received fewer than 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 
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an 11-12 year old well-child exam (CKUP_11_12); if the respondent is unable or unwilling to answer 

this question he or she is asked whether or not the teen's last check-up was more than, exactly, or less than 

[age of teen - 12] years ago (CKUP_LAST). 

All respondents are asked the number of times the teen has seen a health care professional in the last 12 

months (VISITS); whether the teen has been told by a health professional that he or she has asthma 

(ASTHMA); whether the teen has ever been told by a health professional that he or she has a lung 

condition other than asthma, a heart condition, diabetes, a kidney condition, sickle cell anemia or other 

anemia, or a weakened immune system caused by a chronic illness or by medicines taken for a chronic 

illness (RISK_EVER); whether the teen currently has any of these conditions (RISK_NOW); and 

whether any other members of the teen's household currently have any of these conditions (RISK_HH). 

Finally, the respondent is asked the number of times in the past 12 months the teen has missed school due 

to illness or injury (NOSCHOOLR). 

7.3. Section 3: Demographic, Socio-Economic, and Other 

Household/Teen Information

Section 3 of the NIS-Teen public-use data file consists of information collected during the household 

screening interview and the demographic information collected in Section C of the household main 

interview. To protect confidentiality, many of these variables have been collapsed, top-coded, or 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. 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 43

C1R and CHILDNM give the number of people and children, respectively, in the household. 

The teen's Hispanic origin indicator, race with three categories, and race/ethnicity with four categories are 

presented in variables I_HISP_K, RACE_K, and RACEETHK, respectively; for each of these 

variables, missing values have been imputed. EDUC_TR gives the teen's grade in school at the time of 

the interview.

The age, education level, and marital status of the mother of the selected teen are stored in variables 

AGEGRP_M_I, EDUC1, and MARITAL2 (married vs. not married), with missing values imputed.

The categorized total combined income for the teen's family is given by INCQ298A; INCPOV1 gives 

the family's poverty status (at or above poverty, income > $75,000; at or above poverty, income <= 

$75,000; below poverty; unknown), and INCPORAR gives the ratio of the family's income to the 

poverty level. INCPORAR_I gives the same ratio after missing values of family income have been 

imputed. Household tenure is given by RENT_OWN.

The number of landline telephone numbers in the household, the number of working cell phones 

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

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

NUM_CELLS_PARENTS, respectively.

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 ESTIAPT17 and STATE give the 2017 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 
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receive federal Section 317 immunization grants (Bexar County, TX; City of Chicago, IL; City of 

Houston, TX; New York City, NY; Philadelphia County, PA) the teen resides in. 

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

Variable D7 indicates whether the respondent gave consent to contact the teen's providers. If D7=1, then 

consent was granted; if D7=2 then consent was explicitly denied; and if D7 is missing, consent was not 

granted because the respondent broke off the interview before being explicitly asked for consent. 

Variable D6R gives the number of providers identified by the respondent. Note that sometimes 

respondents report erroneous provider counts and sometimes report the same provider more than one 

time, and D6R does not reflect the cleaning or de-duplication of the initially-reported provider count.

Variable NUM_PROVR gives the number of providers identified for teens with consent to contact the 

providers and reflects the cleaning and de-duplication of the initially-reported provider count. For teens 

without consent, NUM_PROVR is set to 0.

7.6. Section 6: Number of Responding Providers Variables

Variable N_PRVR indicates the number of providers returning IHQs with vaccination information for the 

teen. That is, N_PRVR is the number of IHQs that were returned for the teen that contain information on 

the IHQ shot grid.

7.7. Section 7: Characteristics of Providers Variables

This section summarizes the information collected in IHQ questions 5c, 6, and 7 across the teen's 

providers who returned IHQs containing vaccination (i.e., shot grid) data.

FACILITY indicates the facility type of the teen's vaccination providers based on responses to IHQ 

question 5c. If all of the teen's providers that returned IHQs containing shot grid data (see Section 6 

variable N_PRVR) reported their facility type to be:
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● a public health department-operated clinic, community health center, rural health clinic, migrant 

health center, Indian Health Service-operated center, tribal health facility, or urban Indian health 

care facility, then FACILITY=1 (all public facilities);

● a hospital-based clinic, then FACILITY=2 (all hospital facilities);

● a private practice, then FACILITY=3 (all private facilities); 

● a military health care facility, WIC clinic, school-based health center, pharmacy, or other type of 

facility, then FACILITY=4 (all military/WIC/school/pharmacy or other facilities). 

If the responses of providers that returned IHQs containing shot grid data fell into more than one of the 

above bulleted categories, FACILITY=5 (mixed); otherwise, if at least one of the teen's providers 

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 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 46

reported either that they did not order such vaccines or that they did not know whether or not they did, 

then VFC_ORDER=2 (some but possibly or definitely not all providers); if all of the teen's providers that 

returned IHQs containing shot grid data reported that they do not order vaccines from a state or local 

health department to administer to children, then VFC_ORDER=3 (no providers); if none of the 

conditions for VFC_ORDER=1, 2, or 3 was met but at least one of the teen's providers returned an IHQ 

containing shot grid data, VFC_ORDER=4 (unknown). If none of the teen's providers returned an IHQ 

containing shot grid data, VFC_ORDER is set to missing. Note that having a provider that orders VFC 

vaccine does not imply that the child is VFC-entitled; providers enrolled in the VFC program could also 

vaccinate children who are not VFC-entitled. 

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.
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 47

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

This section contains vaccination count and up-to-date variables based on the teen's synthesized providerreported vaccination history. To facilitate data processing and to accommodate the large and continually 

growing number of vaccination types covered by the NIS-Teen, the provider-reported vaccination data are 

organized around the concept of vaccine categories and vaccine types within vaccine category. The 

vaccine categories correspond to the sections of the IHQ shot grid, and the vaccine types correspond to 

the type boxes on the IHQ shot grid. For each vaccine category, an "unknown" vaccine type is created for 

vaccinations that are reported without a type box being checked. Also, a few vaccine types, such as 

Measles/Mumps, arise through the backcoding of shots initially reported in the "other" section of the IHQ 

shot grid. Table 3 shows the vaccine categories and types for the 2017 NIS-Teen. Note that a single 

vaccination can fall into more than one vaccine category; for example, an MMR-Varicella vaccination is 

part of both the measles-containing and varicella-containing vaccine categories.

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 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 48

what is needed to be considered up-to-date for each variable, and the "Notes" field in the codebook shows 

the vaccine type codes (see Table 3) being included when determining whether the teen is up-to-date. For 

each "P_UTD" variable there is a corresponding variable whose name begins with "P_U13" that indicates 

whether the teen was up-to-date for the particular vaccine or vaccine series by age 13 years.

Note that it is possible that the administration of the NIS-Teen interview itself prompts some respondents 

to vaccinate their teens following the interview; to ensure that the vaccination rate estimates aren't 

artificially boosted because of this, the "P_NUM", "P_N13", "P_UTD", and "P_U13" variables in this 

section of the public-use data file count only vaccinations received before the date the household 

interview was completed.

This section also contains some additional UTD variables specific to human papillomavirus (HPV) 

vaccines. P_UTDHPV11, P_UTDHPV12, and P_UTDHPV13 are conditional up-to-date indicators 

showing whether a teen has received exactly 1, exactly 2, or 3 or more HPV vaccinations, given that the 

teen has received at least one. Teens that have received no HPV vaccinations will have missing values for 

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 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 49

variable uses the same criteria as P_UTDHPV_15INT, but is limited to teens with at least one HPV 

vaccination and 6 months between the first HPV dose date and the household interview date.

Finally, this section of the public-use data file contains variable VRC_HIST, which indicates whether the 

household respondent or any of the providers reported that the teen has had a history of chicken pox 

disease.
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 50

Table 3: Vaccine Categories and Vaccine Types, National Immunization Survey - Teen, 2017

Vaccine 

Category 

Abbreviation

Vaccine Category Description

Vaccine 

Type 

Code

Vaccine Type Description

TDP Td/Tdap-containing, given after age 6 years 11 Td 

TDP Td/Tdap-containing, given after age 6 years 14 Tdap

TDP Td/Tdap-containing, given after age 6 years 15 Td/Tdap-containing, unknown type

HEPB Hepatitis B-containing 61 0.5 ml Recombivax

HEPB Hepatitis B-containing 62 1.0 ml Recombivax

HEPB Hepatitis B-containing 63 Engerix

HEPB Hepatitis B-containing 64 Hepatitis B-only, unknown type

HEPB Hepatitis B-containing 43 HepB-Hib

HEPB Hepatitis B-containing HB Hepatitis B-containing, unknown type

FLU Seasonal influenza-containing FZ Fluzone

FLU Seasonal influenza-containing FV Fluvirin

FLU Seasonal influenza-containing FN Injected influenza, other/unknown type

FLU Seasonal influenza-containing FM Flumist

FLU Seasonal influenza-containing FL Influenza-containing, unknown type

MCV Measles-containing 30 MMR-only

MCV Measles-containing 31 Measles-only

MCV Measles-containing 32 Measles-Mumps (through backcoding)

MCV Measles-containing 33 Measles-Rubella (through backcoding)

MCV Measles-containing VM MMR-Varicella

MCV Measles-containing MM Measles-containing, unknown type

VAR Varicella-containing VO Varicella-only

VAR Varicella-containing VM MMR-Varicella

VAR Varicella-containing VA Varicella-containing, unknown type

HEPA Hepatitis A-containing HO HepA-only (Havrix or Vaqta)

HEPA Hepatitis A-containing HA HepA-containing, unknown type

PPS Pneumococcal Polysaccharide - - 

MEN Meningococcal serogroup ACWY 80 MenACWY (Menactra or Menveo) 

MEN Meningococcal serogroup ACWY 81 MPSV4 (Menomune)

MEN Meningococcal serogroup ACWY 82 Meningococcal serogroup ACWY, unknown type

MENB Meningococcal serogroup B BT MenB-FHbp

MENB Meningococcal serogroup B BB MenB-4C

MENB Meningococcal serogroup B BU Meningococcal serogroup B, unknown type

MENU Meningococcal, unknown serogroup - - 

HPV Human Papillomavirus CV Cervarix (2vHPV)

HPV Human Papillomavirus 4V Gardasil 4 (4vHPV)

HPV Human Papillomavirus 9V Gardasil 9 (9vHPV)

HPV Human Papillomavirus UV Gardasil, unknown valency

HPV Human Papillomavirus HP HPV, unknown type
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 51

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). 

For synthesized provider-reported seasonal influenza vaccinations, in addition to FLU_AGE1 - 

FLU_AGE9 which give the age of the teen in years at the time of the vaccinations, variables 

FLU_MONTH1 - FLU_MONTH9 and FLU_YEAR1 - FLU_YEAR9 give the month and year for each 

vaccination, allowing users to assign a teen's seasonal influenza vaccinations to a particular flu season. 

Unlike the vaccination count and up-to-date variables in Section 8 of the public-use data file, the variables 

in Section 9 include vaccinations given both before and after the household interview was completed. If 

desired, users can limit the Section 9 variables to only those before the household interview date by 

examining the corresponding Section 8 “P_NUM” variable and limiting the analysis of the Section 9 

variables to only the first n variables, where n is equal to the number of vaccinations in the vaccine 

category before the household interview date as indicated by the corresponding “P_NUM” variable. 

Users of the NIS-Teen public-use data file should be aware that the age-at-vaccination variables included 

in Section 9 may contain a small number of vaccination ages that are implausible according to the 

recommended immunization schedules (http://www.cdc.gov/vaccines/schedules/hcp/child-
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 52

adolescent.html). Such ages may arise if a medical provider inadvertently records an erroneous 

vaccination date or if a vaccination date is incorrectly transcribed onto an IHQ. The quality control 

procedures of the NIS-Teen address implausible ages to every extent possible. Suspicious dates are 

manually reviewed and corrected if there is evidence either from the household interview or from another 

provider that the date is incorrect. In rare cases, however, when there is no further information with which 

to correct the reported vaccination date, the vaccination is treated as having actually occurred and the 

implausible age at vaccination persists on the data file. The data user should consider these issues in 

deciding how to analyze the NIS-Teen data.

7.10. Section 10: Health Insurance Module Variables

The Health Insurance Module (HIM) (Section E) gathers information on the health insurance coverage of 

the selected teen. Prior to 2016, seven variables containing HIM data were included in the NIS-Teen 

public-use data file: 

• TIS_INS_1: “Is the teen covered by health insurance provided through employer or union?”;

• TIS_INS_2: “Is the teen covered by any MEDICAID plan?”;

• TIS_INS_3: “Is the teen covered by CHIP?”;

• TIS_INS_3A: “Is the teen covered by any MEDICAID plan or CHIP?”;

• TIS_INS_4_5: “Is the teen covered by Indian Health Service, Military Health Care, TRICARE, 

CHAMPUS, or CHAMP-VA?”; 

• TIS_INS_6: “Is the teen covered by any other health insurance or health care plan?”; and

• TIS_INS_11: “Since age 11, was there any time when the teen was not covered by health 

insurance?”

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 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 53

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.

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 2017 NIS-Teen Public-Use Data File Page 54

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_D weight to obtain dual-frame estimates. 

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 (ESTIAPT17 and STATE) as well as a stratum identifier, STRATUM. The sample 

is stratified by a combination of the sample frame (landline, cell-phone) and the 62 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 2017 NIS-Teen public-use data file contains two teen-level weights. The RDDWT_D 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 combining the landline and cell-phone samples, for 

calibration to population control totals, and for the exclusion of non-telephone teens. The weight variable

PROVWT_D 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 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 55

Section 7 of this user's guide). Table 4 presents a summary of the appropriate weights and stratum 

variables to use for various types of analyses.

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

2017

Weight Variable Population* Sample Frame Strata Stratum 

Variable

RDDWT_D United States excluding 

territories

Dual Frame 

(Landline/Cell)

Sample Frame 

by Estimation 

Area

STRATUM

PROVWT_D

United States excluding 

territories, teens with 

adequate provider data

Dual Frame 

(Landline/Cell)

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_D). 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 2017 NIS-Teen Public-Use Data File Page 56

let Whi denote the value of PROVWT_D 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 2017 NIS-Teen Public-Use Data File Page 57

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 2017 NIS-Teen public-use data file, ten 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 2017 NIS-Teen Public-Use Data File Page 58

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 and RDDWT_D in 2012-2017; and provider-phase weights 

PROVWT in 2008-2011 and PROVWT_D in 2012-2017) should be divided by the number of years 

being combined. For example, if data for 2015, 2016, and 2017 for teens with adequate provider data are 

to be combined, then the weights in the three files –PROVWT_D in each of 2015-2017 – 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., 2017). 

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 2011-2017 are defined by the 

variables STRATUM_D (for 2011), and STRATUM (for 2012-2017), 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, and ESTIAPT17 define mutually exclusive and exhaustive 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 59

geographic areas. However, they are not exactly the same areas. For example, Dallas County, TX, was a

separate estimation area in 2011, 2016, and 2017 but not in 2012-2015. El Paso County, TX, was a 

separate estimation area in 2011 and 2014-2017, but not in 2012 or 2013. 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 2012-2017 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 2017 NIS-Teen Public-Use Data File Page 60

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 2016 and in 2017. 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 2017 NIS-Teen Public-Use Data File Page 61

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. 

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 

measles-containing vaccine up-to-date estimate from 2016 to the 2017 estimate, SUDAAN users can use 

the following WEIGHT, VAR, and CONTRAST statements:

WEIGHT NEWWT2;

VAR P_UTDMCV; 

CONTRAST YEAR = (-1 1);
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 62

Table 5: Cross-Walk Between ESTIAPT08-ESTIAPT17 and Common Denominator Estimation Area (CDIAP), National 

Immunization Survey - Teen, 2017

CDIAP Area Name ESTIAPT08 

(2008) 

ESTIAPT09 

(2009) 

ESTIAPT10 

(2010) 

ESTIAPT11 

(2011) 

ESTIAPT12 

(2012) 

ESTIAPT13 

(2013) 

ESTIAPT14 

(2014) 

ESTIAPT15 

(2015) 

ESTIAPT16 

(2016) 

ESTIAPT17 

(2017) 

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

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

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

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

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

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

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

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

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

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

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

75 Idaho 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

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

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

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

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

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

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

4 Maine 4 4 4 4 4 4 4 4 4 4 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 63

CDIAP Area Name ESTIAPT08 

(2008) 

ESTIAPT09 

(2009) 

ESTIAPT10 

(2010) 

ESTIAPT11 

(2011) 

ESTIAPT12 

(2012) 

ESTIAPT13 

(2013) 

ESTIAPT14 

(2014) 

ESTIAPT15 

(2015) 

ESTIAPT16 

(2016) 

ESTIAPT17 

(2017) 

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

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

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

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

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

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

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

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

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

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

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

49 New Mexico 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

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

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

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

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

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

76 Oregon 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

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

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

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

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

31 Tennessee 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
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 64

CDIAP Area Name ESTIAPT08 

(2008) 

ESTIAPT09 

(2009) 

ESTIAPT10 

(2010) 

ESTIAPT11 

(2011) 

ESTIAPT12 

(2012) 

ESTIAPT13 

(2013) 

ESTIAPT14 

(2014) 

ESTIAPT15 

(2015) 

ESTIAPT16 

(2016) 

ESTIAPT17 

(2017) 

54 TX-City of Houston 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 TX-El Paso County 51 53 53 53 51 51 53 53 53 53

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

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

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

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

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

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

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

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

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

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

- Puerto Rico - - - - - - 106 106 106 - 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 65

9. Summary Tables 

Appendix E contains seven tables. Appendix Table E.1 lists the 62 estimation areas for the 2017 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 2017 and (from 2017 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 2017 NIS-Teen public-use data file. 

Appendix F shows the vaccine type codes used in the 2017 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. 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 66

Appendix H presents key response rate components and the CASRO response rate by estimation area in 

the 2017 NIS-Teen landline and cell-phone samples and presents the CASRO response rate for the 

combined landline and cell-phone samples by estimation area for 2017. 

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 as

the NIS Family of Surveys transitioned from a single-frame landline RDD sampling design to a dualframe landline and cell phone RDD design, CDC has monitored the NIS 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. 2017), including components for coverage 

error, nonresponse error, and sampling error. Figure 1 charts the estimated mean total error for 2009-2013 

NIS-Teen vaccination coverage rate estimators using the base/design weights (i.e., unadjusted for 

nonresponse and not calibrated to population totals) and using the final weights. For ≥1 Tdap and ≥1 

MenACWY, total error is smaller in the 2011-2013 period than in the 2009-2010, but this finding does 

not appear to hold for ≥1 HPV among females. Error estimates have tended to be lower when final 

weights are used than when base/design-weighted are used for for ≥1 Tdap and ≥1 MenACWY, but the 

results are mixed for ≥1 HPV among females. 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 67

For 2012 and 2013, the TSE model was extended to include a form of measurement error called “provider 

under-reporting” error, in addition to the coverage and nonresponse error components previously included 

in the model (Wolter et al. 2017). Sometimes also called “under-ascertainment,” provider under-reporting 

error arises when a teen with adequate provider data is truly vaccinated but is reported as unvaccinated in 

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

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

vaccination providers fails to report a vaccination history for the teen, or if one or more of the teen’s 

nominated providers reports a vaccination history but fails to report all of the vaccinations the teen has 

received. Figure 2 presents the estimated mean total error for 2012-2013 NIS-Teen vaccination coverage 

rate estimators, including components for coverage error, nonresponse error, under-reporting error, and 

sampling error, using the design weights and using the final weights. The addition of under-reporting 

error into the TSE model results in small, negative estimates of TSE for ≥1 Tdap and ≥1 MenACWY in 

2013; the estimate of TSE for ≥1 HPV among females is small and positive when under-reporting error is 

included, but lower than when under-reporting error is not included in the TSE model. None of the mean 

TSE estimates for 2013 NIS-Teen in Figure 2 is statistically significantly different from zero.
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 68

Figure 1: Comparison of Estimated Mean Total Error for ≥1 Tdap, ≥1 MenACWY, and ≥1 HPV 

Vaccine Dose among Females by Survey Year, Including Components for Coverage 

Error, Nonresponse Error, and Sampling Error, National Immunization Survey - 

Teen, 2009-2013 
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 69

Figure 2: Comparison of Estimated Mean Total Error for ≥1 Tdap, ≥1 MenACWY, and ≥1 HPV 

Vaccine Dose among Females by Survey Year, Including Components for Coverage 

Error, Nonresponse Error, Under-Reporting Error, and Sampling Error, National 

Immunization Survey - Teen, 2012-2013 
Data User’s Guide for the 2017 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 telephones, 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 are subject to potential bias that may remain after weighting 

adjustments because of the switch from landline to dual landline and cell-phone frames in 2011. 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 2017 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 2017 NIS-Teen publicuse data file is:

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

Respiratory Diseases. The 2017 National Immunization Survey - Teen, Atlanta, GA: Centers for Disease 

Control and Prevention, 2018. 

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/imzmanagers/nis/datasets.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. 

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. 

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.
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 72

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.

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. Volume 129, Issue 6, p. 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

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
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 73

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 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.

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

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. 2011. Public Health Reports. Volume 126, 

Supplement 2, p. 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. 

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. Volume 30, Issue 3, p. 503-505.

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

United States. Pediatrics. 2012. Volume 129, Issue 2, p. 213-221.
Data User’s Guide for the 2017 NIS-Teen Public-Use Data File Page 74

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

and Completion, 2008-2009. Pediatrics. 2012. Volume 128, Issue 5, p. 830-839.

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

Vaccinations, National Immunization Survey-Teen, 2009. Clinical Pediatrics. 2012. Volume 50, Issue 12, 

p. 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. 

Volume 52, issue 2, p. 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

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. 

Volume 30, Issue 9, p. 1682-1689.

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. 

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. 
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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. 

Public Health Reports. 2009; 124:642-51.

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 

(8):1468-1478.

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 Volume 105, issue 3, p. 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.

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

Morbidity and Mortality and Associated Behavioral Risk and Protective Factors-United States, 2005-

2013. MMWR Surveill Summ 2014;63:3-27.

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

HPV vaccine in US male adolescents include Hispanic ethnicity and receipt of other vaccines. Prev Med 

Rep 2016;4:98-102.

Kepka D, Ding Q, Warner EL, Spigarelli MG, Mooney K. High school females and those with other 

vaccinations most likely to complete the Human Papillomavirus vaccine. Prev Med Rep 2015;2:79-83.

Klosky JL, Hudson MM, Chen Y, Connelly JA, Wasilewski-Masker K, Sun CL, et al. Human 

papillomavirus vaccination rates in young cancer survivors. Journal of Clinical Oncology 2017; 35(31): 

3582-3590.

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

Lai D, Ding Q, Bodson J, Warner EL, Kepka D. Factors Associated with Increased HPV Vaccine Use in 

Rural-Frontier U.S. States. Public Health Nurs 2016;33(4):283-94.
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Landis K, Bednarczyk RA, Gaydos LM. Correlates of HPV vaccine initiation and provider 

recommendation among male adolescents, 2014 NIS-Teen. Vaccine 2018; 36(24):3498-3504.

Kawai K, O’Brien MA, Conway JH, Marshall GS, Kuter BJ. Factors associated with receipt of two doses 

of varicella vaccine among adolescents in the United States. Pediatr Infect Dis J. 2013. Volume 32, issue 

5, p. 538-42.

Khare M, Montgomery M, Wouhib A, Singleton JA. Assessment of Bias in the National Immunization 

Survey–Teen: Benchmarking to the National Health Interview Survey, 2009, Presented at the Centers for 

Disease Control and Prevention Statistical Symposium, Atlanta, GA

Leung J, Reagan-Steiner S, Lopez A, Jeyarajah J, Marin M. Varicella Vaccination Among US 

Adolescents: Coverage and Missed Opportunities, 2007-2014. Journal of Public Health Management 

Practice 2018; [Epub ahead of print]. 

Lindley MD, Smith PH, Rodewald LE. Vaccination Coverage among U.S. Adolescents Aged 13-17 

Years Eligible for the Vaccines for Children Program, 2009. 2011. Public Health Reports. Volume 126, 

supplement 2, p. 124-126. 

Lindley MC, Jeyarajah J, Yankey D, Curtis CR, Markowitz LE, Stokley S. Comparing human 

papillomavirus vaccine knowledge and intentions among parents of boys and girls. Hum Vaccin 

Immunother 2016;12(6):1519-27.Lu PJ, Dorell, C, Yankey D, Santibanez T, Singleton J. A Comparison 

of Parent and Provider Reported Influenza Vaccination Status of Adolescents. Vaccine. 2012. Volume 30, 

Issue 22, p. 3278-3285.

Lu PJ, Jain N, Cohn AC. Meningococcal conjugate vaccination among adolescents aged 13-17 years, 

United States, 2007. Vaccine. 2010. 28(11):2350-2355.

Lu PJ, Santibanez TA, Williams WW, Zhang J, Ding H, Bryan L, et al. Surveillance of influenza 

vaccination coverage--United States, 2007-08 through 2011-12 influenza seasons. MMWR Surveill 

Summ 2013;62(4):1-28.

Lu PJ, Yankey D, Jeyarajah J, O'Halloran A, Elam-Evans L, Greby SM, et al. Hepatitis B vaccination 

among adolescents 13-17 years, United States, 2006-2012. Vaccine 2015;33(15):1855-64.

Lu PJ, Yankey D, Jeyarajah J, O'Halloran A, Elam-Evans LD, Smith PJ, et al. HPV Vaccination 

Coverage of Male Adolescents in the United States. Pediatrics 2015;136(5):839-49.

Lu PJ, Yankey D, Jeyarajah J, O’Halloran A, Fredua B, Elam-Evans LD, Reagan-Steiner S. Association 

of Health Insurance Status and Vaccination Coverage among Adolescents 13-17 Years of Age. Journal of 

Pediatrics 2018; 195:256-262.e1.

Lu PJ, Yankey D, Jeyarajah J, O’Halloran A, Meyer SA, Elam-Evans LD, Reagan-Steiner S. Impact of 

Provider Recommendation on Tdap Vaccination of Adolescents Aged 13–17 Years. American Journal of 

Preventive Medicine 2017 Sept; 53(3):373-384.Mohammed KA, Geneus CJ, Osazuwa-Peters N, Boakye 

EA, Tobo BB, Burroughs TE. Disparities in provider recommendation of human papillomavirus 

vaccination for US adolescents. Journal of Adolescent Health 2016;59:592-598. 
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Mohammed KA, Vivian E, Loux TM, Arnold LD. Factors associated with parents’ intent to vaccinate 

adolescents for human papillomavirus: findings from the 2014 National Immunization Survey–Teen. Prev 

Chronic Dis 2017;14:160314. DOI: https://doi.org/10.5888/pcd14.160314.

Montgomery M, Jain N, Singleton JA, Khare M. Assessment of Bias in the National Immunization 

Survey-Teen: Benchmarking to the National Health Interview Survey, 2008, Presented at the American 

Association for Public Opinion Research Annual Conference. Miami, FL

Moss JL, Reiter PL, Brewer NT. Correlates of human papillomavirus vaccine coverage: a state-level 

analysis. Sex Transm Dis 2015;42(2):71-5.

Moss JL, Gilkey MB, Rimer BK, Brewer NT. Disparities in collaborative patient-provider 

communication about human papillomavirus (HPV) vaccination. Hum Vaccin Immunother 

2016;12(6):1476-83.

Moss JL, Reiter PL, Brewer NT. Concomitant Adolescent Vaccination in the U.S., 2007-2012. Am J Prev 

Med 2016. Epub ahead of print. 

Moss JL, Reiter PL, Rimer BK, Brewer NT. Collaborative patient-provider communication and uptake of 

adolescent vaccines. Soc Sci Med 2016;159:100-7.

Moss JL, Reiter PL, Truong YK, Rimer BK, Brewer NT. School entry requirements and coverage of 

nontargeted adolescent vaccines. Pediatrics. 2016;138(6):e20161414. 

Moss JL, Reiter PL, Rimer BK, Ribisl KM, Brewer NT. Summer Peaks in Uptake of Human 

Papillomavirus and Other Adolescent Vaccines in the United States. Cancer Epidemiol Biomarkers Prev 

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Glossary of Abbreviations and Terms APPENDIX A 

85

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 

86

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 

87

Appendix B: Summary Statistics for Sampling Weights by 

Estimation Area 

Table B.1: Distribution of Dual-Frame Sampling Weights* for Teens with Completed Household

Interviews, National Immunization Survey - Teen, 2017 

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

U.S. National† 43,591 20,833,181.39 2.33 12,727.88 477.92 148.32

Alabama 795 312,726.08 53.52 1,258.98 393.37 64.14

Alaska 673 48,246.84 9.00 213.30 71.69 59.26

Arizona 758 464,064.44 14.34 2,052.29 612.22 69.42

Arkansas 711 199,026.08 25.22 880.95 279.92 66.53

California 779 2,534,878.71 13.49 12,727.88 3,254.02 83.14

Colorado 703 357,017.86 7.35 1,545.21 507.85 66.08

Connecticut 704 231,174.11 15.58 1,011.45 328.37 64.30

Delaware 692 57,643.68 17.68 250.72 83.30 65.19

District of Columbia 745 25,398.62 4.54 119.60 34.09 92.35

Florida 968 1,180,162.36 3.39 4,600.07 1,219.18 89.93

Georgia 766 720,278.90 7.84 2,941.81 940.31 76.65

Hawaii 654 79,469.97 18.26 344.61 121.51 55.93

Idaho 674 124,441.69 10.08 555.06 184.63 64.81

Illinois 1,437 840,260.49 7.31 2,073.85 584.73 70.54

 IL-City of Chicago 400 148,250.12 7.31 1,245.29 370.63 73.35

 IL-Rest of State 1,037 692,010.38 15.38 2,073.85 667.32 64.08

Indiana 691 450,659.04 16.06 2,029.81 652.18 63.86

Iowa 615 203,088.58 16.92 923.56 330.23 56.98

Kansas 652 198,706.70 11.00 914.67 304.76 66.15

Kentucky 726 284,358.85 45.64 1,198.36 391.68 64.48

Louisiana 730 305,761.40 6.54 1,294.89 418.85 70.53

Maine 658 75,010.25 23.19 332.35 114.00 55.79

Maryland 1,081 380,263.55 6.18 1,604.10 351.77 134.17

Massachusetts 803 406,334.49 19.93 1,576.63 506.02 66.59

Michigan 681 644,685.74 12.80 2,684.46 946.68 60.26

Minnesota 722 360,589.48 7.51 1,482.72 499.43 65.33

Mississippi 726 204,421.31 23.48 869.18 281.57 65.22

Missouri 716 391,861.27 15.01 1,689.87 547.29 64.96

Montana 605 62,165.81 11.48 313.50 102.75 63.70

Nebraska 630 130,067.87 10.42 648.73 206.46 58.80

Nevada 791 191,303.97 6.54 765.05 241.85 67.48

New Hampshire 682 79,286.62 26.06 337.59 116.26 57.05

New Jersey 872 574,278.49 22.70 1,963.05 658.58 62.91

New Mexico 688 137,299.72 13.87 569.75 199.56 61.70

New York 1,529 1,170,573.60 13.89 2,533.12 765.58 65.74

 NY-City of New York 718 457,566.86 13.89 2,099.61 637.28 65.25

 NY-Rest of State 811 713,006.75 19.35 2,533.12 879.17 62.01

North Carolina 726 661,312.58 13.68 2,701.49 910.90 66.79

North Dakota 668 43,702.78 13.73 195.34 65.42 57.77

Ohio 790 755,374.84 15.62 2,926.47 956.17 65.70

Oklahoma 699 264,826.70 18.19 1,163.27 378.87 62.57

Oregon 709 242,645.06 6.78 967.52 342.24 57.12
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

88

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

Pennsylvania 1,668 774,307.34 9.50 2,764.94 464.21 107.02

 PA-Philadelphia County 684 90,979.82 9.50 408.52 133.01 67.79

 PA-Rest of State 984 683,327.52 54.47 2,764.94 694.44 76.68

Rhode Island 579 60,604.94 29.09 300.04 104.67 60.40

South Carolina 747 310,089.07 15.14 1,303.28 415.11 68.49

South Dakota 593 56,123.96 23.85 279.83 94.64 61.94

Tennessee 690 425,788.75 16.70 1,947.74 617.09 73.54

Texas 5,003 2,034,276.34 2.33 2,608.52 406.61 124.83

 TX-Bexar County 745 141,259.82 21.97 557.95 189.61 61.61

 TX-City of Houston 485 134,170.60 2.33 916.81 276.64 72.65

 TX-Dallas County 632 181,807.29 52.52 964.04 287.67 66.56

 TX-El Paso County 580 69,620.49 8.67 384.40 120.04 72.62

 TX-Travis County 637 66,523.91 10.14 312.74 104.43 57.86

 TX-Rest of State 1,924 1,440,894.23 9.88 2,608.52 748.91 88.54

Utah 703 251,932.58 5.53 1,072.10 358.37 59.72

Vermont 610 35,315.32 12.30 173.91 57.89 66.73

Virginia 961 526,871.90 3.64 2,584.25 548.25 135.63

Washington 694 448,848.63 6.66 1,905.52 646.76 63.58

West Virginia 723 106,871.87 23.78 472.32 147.82 65.92

Wisconsin 635 372,010.02 12.87 1,778.11 585.84 62.19

Wyoming 736 36,772.17 9.18 148.01 49.96 61.30

*Distribution of RDDWT.

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

89

Table B.2: Distribution of Dual-Frame Sampling Weights* for Teens with Adequate Provider 

Data, National Immunization Survey - Teen, 2017 

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

U.S. National† 20,949 20,833,181.39 5.91 31,752.99 994.47 161.81

Alabama 367 312,726.08 122.36 2,498.93 852.11 65.38

Alaska 349 48,246.84 30.07 402.70 138.24 60.64

Arizona 335 464,064.44 46.96 4,862.24 1,385.27 75.18

Arkansas 357 199,026.08 46.54 1,802.18 557.50 71.46

California 306 2,534,878.71 49.05 31,752.99 8,283.92 80.11

Colorado 354 357,017.86 27.63 3,213.89 1,008.53 67.71

Connecticut 330 231,174.11 21.99 2,141.35 700.53 70.77

Delaware 350 57,643.68 25.40 519.84 164.70 75.03

District of Columbia 318 25,398.62 5.91 293.59 79.87 95.36

Florida 415 1,180,162.36 15.62 11,358.21 2,843.76 94.77

Georgia 343 720,278.90 13.38 7,529.39 2,099.94 81.32

Hawaii 314 79,469.97 59.66 743.96 253.09 59.32

Idaho 353 124,441.69 19.10 1,244.81 352.53 78.83

Illinois 683 840,260.49 10.49 4,515.07 1,230.25 72.43

 IL-City of Chicago 204 148,250.12 10.49 2,691.06 726.72 81.74

 IL-Rest of State 479 692,010.38 35.10 4,515.07 1,444.70 63.02

Indiana 334 450,659.04 68.72 4,529.84 1,349.28 72.61

Iowa 343 203,088.58 25.44 1,714.18 592.09 57.98

Kansas 338 198,706.70 21.59 1,856.91 587.89 68.96

Kentucky 372 284,358.85 88.65 2,425.09 764.41 65.92

Louisiana 341 305,761.40 7.89 2,756.69 896.66 65.39

Maine 347 75,010.25 41.53 591.27 216.17 55.75

Maryland 470 380,263.55 10.35 3,657.64 809.07 131.68

Massachusetts 412 406,334.49 34.63 3,040.55 986.25 70.10

Michigan 328 644,685.74 27.28 5,856.27 1,965.51 64.02

Minnesota 356 360,589.48 21.51 3,269.29 1,012.89 69.35

Mississippi 347 204,421.31 63.72 1,837.75 589.11 64.62

Missouri 335 391,861.27 38.55 3,531.71 1,169.74 65.59

Montana 326 62,165.81 16.73 644.00 190.69 70.50

Nebraska 324 130,067.87 31.42 1,219.32 401.44 64.77

Nevada 344 191,303.97 61.79 1,864.71 556.12 71.95

New Hampshire 333 79,286.62 45.83 717.94 238.10 58.60

New Jersey 366 574,278.49 112.92 4,669.47 1,569.07 68.01

New Mexico 362 137,299.72 46.30 1,194.20 379.28 65.26

New York 651 1,170,573.60 34.34 5,797.80 1,798.12 70.86

 NY-City of New York 281 457,566.86 34.34 5,360.58 1,628.35 71.04

 NY-Rest of State 370 713,006.75 44.62 5,797.80 1,927.05 69.73

North Carolina 336 661,312.58 23.67 6,252.65 1,968.19 73.15

North Dakota 379 43,702.78 26.46 334.82 115.31 61.26

Ohio 408 755,374.84 30.34 5,478.06 1,851.41 64.70

Oklahoma 338 264,826.70 88.16 2,441.93 783.51 66.28

Oregon 359 242,645.06 42.16 2,010.25 675.89 63.50

Pennsylvania 851 774,307.34 19.43 4,984.98 909.88 116.91

 PA-Philadelphia County 362 90,979.82 19.43 801.91 251.33 72.56

 PA-Rest of State 489 683,327.52 127.22 4,984.98 1,397.40 84.26

Rhode Island 319 60,604.94 42.07 547.69 189.98 62.05

South Carolina 328 310,089.07 23.95 2,981.30 945.39 76.39
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

90

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

South Dakota 333 56,123.96 31.40 524.81 168.54 67.00

Tennessee 338 425,788.75 40.76 4,195.42 1,259.73 78.22

Texas 2,256 2,034,276.34 15.90 6,380.53 901.72 132.51

 TX-Bexar County 336 141,259.82 40.42 1,273.69 420.42 61.48

 TX-City of Houston 187 134,170.60 24.26 2,431.03 717.49 83.00

 TX-Dallas County 263 181,807.29 66.97 2,425.46 691.28 76.21

 TX-El Paso County 320 69,620.49 15.90 833.00 217.56 80.59

 TX-Travis County 304 66,523.91 54.59 653.46 218.83 61.27

 TX-Rest of State 846 1,440,894.23 19.71 6,380.53 1,703.18 92.83

Utah 356 251,932.58 11.00 2,146.53 707.68 66.05

Vermont 366 35,315.32 20.30 283.73 96.49 67.69

Virginia 413 526,871.90 6.00 6,291.14 1,275.72 133.75

Washington 339 448,848.63 22.50 4,007.17 1,324.04 65.53

West Virginia 343 106,871.87 36.91 1,009.26 311.58 66.81

Wisconsin 324 372,010.02 20.11 3,751.80 1,148.18 65.06

Wyoming 360 36,772.17 15.71 291.80 102.14 66.30

* Distribution of PROVWT_D.

† 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 

91

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 91 

II. SAS (SAS, 2008) Page 105 

III. ‘R’ (Lumley, 2009) Page 118

I. SUDAAN

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

title1 'SUD_IAP.SAS'; 

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

THIS PROGRAM WILL PRODUCE ESTIMATION AREA ESTIMATES AND STANDARD ERRORS

FOR 2+ MMR VACCINATIONS (P_UTDMMR) 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:\nisteenpuf17'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf17'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf17; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt17; * --- ESTIMATION AREA VARIABLE TO USE ---*;

%let wt=provwt_d; * --- WEIGHT TO USE (PROVWT_D is the dual-frame weight excluding territories. 

Use PROVWT_D_TERR to include territories) ---*;

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

STRATUM for all estimates.) ---*;

Proc format; 

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

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

92

THE FOLLOWING FORMAT WILL BE USED FOR P_UTDMMR.

ORIGINAL VALUES OF P_UTDMMR ARE 1,0.

MUST BE CONVERTED TO 1,2 IN SUDAAN.

*/

value p_utdmmrf

1='2+ MMR Up-to-Date'

2='Not 2+ MMR 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 

93

52 = "TX-Dallas County" 

53 = "TX-El Paso County"

54 = "TX-City of Houston"

55 = "TX-Bexar County"

56 = "IA"

57 = "KS"

58 = "MO"

59 = "NE"

60 = "CO"

61 = "MT"

62 = "ND"

63 = "SD"

64 = "UT"

65 = "WY"

66 = "AZ"

68 = "CA"

72 = "HI"

73 = "NV"

74 = "AK"

75 = "ID"

76 = "OR"

77 = "WA"

108 = "TX-Travis County"

; 

Run; 

data sud_file;

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

if P_UTDMMR=0 then P_UTDMMR=2; *--- CONVERT P_UTDMMR=0 TO P_UTDMMR=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_UTDMMR ;

levels 108 2 ; 

tables &estiap. * P_UTDMMR ;

print nsum wsum rowper serow/style=nchs ;

rtitle "2+ MMR Estimates by Estimation Area"; 

rformat &estiap. estiapf.; 

rformat P_UTDMMR p_utdmmrf.; 

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 

94

proc print data=sud_est(where=(P_UTDMMR=1 and rowper ne .)) noobs label; 

format &estiap. estiapf.; 

var &estiap. rowper serow ;

label

rowper='Percent 2+ MMR Up-to-Date'

serow='Standard Error'

; 

title "2+ MMR Estimates by Estimation Area"; 

run; 

 

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

title1 'SUDSTATE.SAS'; 

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

THIS PROGRAM WILL PRODUCE STATE ESTIMATES AND STANDARD ERRORS

FOR 2+ MMR VACCINATIONS (P_UTDMMR) 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:\nisteenpuf17'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf17'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf17; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt17; * --- ESTIMATION AREA VARIABLE TO USE ---*;

%let wt=provwt_d; * --- WEIGHT TO USE (PROVWT_D is the dual-frame weight excluding territories. 

Use PROVWT_D_TERR to include territories) ---*;

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

STRATUM for all estimates) ---*;

PROC FORMAT; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR P_UTDMMR.

ORIGINAL VALUES OF P_UTDMMR ARE 1,0.

MUST BE CONVERTED TO 1,2 IN SUDAAN.

*/

value putmmrf

1='2+ MMR Up-to-Date'

2='Not 2+ MMR 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 

95

/*

THE FOLLOWING FORMAT WILL BE USED FOR STATE.

*/

value statef

0 ='U.S. Total'

1 ='Alabama '

2 ='Alaska '

4 ='Arizona '

5 ='Arkansas '

6 ='California '

8 ='Colorado '

9 ='Connecticut '

10 ='Delaware '

11 ='District of Columbia'

12 ='Florida '

13 ='Georgia '

15 ='Hawaii '

16 ='Idaho '

17 ='Illinois '

18 ='Indiana '

19 ='Iowa '

20 ='Kansas '

21 ='Kentucky '

22 ='Louisiana '

23 ='Maine '

24 ='Maryland '

25 ='Massachusetts '

26 ='Michigan '

27 ='Minnesota '

28 ='Mississippi '

29 ='Missouri '

30 ='Montana '

31 ='Nebraska '

32 ='Nevada '

33 ='New Hampshire '

34 ='New Jersey '

35 ='New Mexico '

36 ='New York '

37 ='North Carolina '

38 ='North Dakota '

39 ='Ohio '

40 ='Oklahoma '

41 ='Oregon '

42 ='Pennsylvania '

44 ='Rhode Island '

45 ='South Carolina '

46 ='South Dakota '

47 ='Tennessee '

48 ='Texas '
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

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_UTDMMR &estiap. STATE &wt. &strat.);

if P_UTDMMR=0 then P_UTDMMR=2; *** CONVERT P_UTDMMR=0 TO P_UTDMMR=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_UTDMMR ;

levels 56 2 ; 

tables state * P_UTDMMR ;

print nsum wsum rowper serow/style=nchs ;

rtitle "2+ MMR ESTIMATES BY STATE"; 

rformat state statef.; 

rformat P_UTDMMR p_utdmmrf.; 

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_UTDMMR=1 and state notin (3,7,14,43,52))) label noobs; 

format state statef.; 

var state rowper serow ;

label

rowper='Percent 2+ MMR Up-to-Date'

serow='Standard Error'

; 

title "2+ MMR ESTIMATES BY STATE"; 

run; 

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

title1 'PROG_3.SAS'; 

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

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

97

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 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;

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf17'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf17'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf17; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt17; * --- ESTIMATION VARIABLE TO USE ---*;

%let wt=rddwt_d; * --- WEIGHT TO USE (RDDWT_D is the dual-frame weight excluding territories. 

Use RDDWT_D_TERR to include territories) ---*;

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

STRATUM for all estimation) ---*;

PROC FORMAT; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR ASTHMA.

*/

value asthmaf

1='Yes'

2='No'

; 

/*

THE FOLLOWING FORMAT WILL BE USED FOR STATE.

*/

value statef

0 ='U.S. Total '

1 ='Alabama '

2 ='Alaska '

4 ='Arizona '

5 ='Arkansas '

6 ='California '

8 ='Colorado '

9 ='Connecticut '

10 ='Delaware '

11 ='District of Columbia'

12 ='Florida '
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

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 ***;

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 

99

*=== 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_UTDMMR BY INCPOV1 BY RACE_K. SAVE % UTD

ESTIMATES (NOT S.E.'S) FOR USE IN THE PROGRAM CHART_4.

THIS PROGRAM WILL PRODUCE ESTIMATES USING SAS CALLABLE SUDAAN.

SUDAAN NOTES:

1. ALL VARIABLES USED MUST BE NUMERIC.

2. VARIABLES IN THE SUBGROUP STATEMENT MUST HAVE VALUES 1,2,..K

WHERE K IS THE NUMBER OF LEVELS FOR EACH VARIABLE.

3. DATA MUST BE SORTED ACCORDING TO THE SAMPLE DESIGN VARIABLES

(STRATUM AND PRIMARY SAMPLING UNIT), SPECIFIED IN THE

NEST STATEMENT.

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

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf17'; *--- SPECIFY PATH TO SAS DATASET ---*;
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

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

100

libname library 'c:\nisteenpuf17'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

libname out 'c:\nisteenpuf17'; 

%let in_file=dd.nisteenpuf17; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt17; * --- ESTIMATION VARIABLE TO USE ---*;

%let wt=provwt_d; * --- WEIGHT TO USE (PROVWT_D is the dual-frame weight excluding territories. 

Use PROVWT_D_TERR to include territories) ---*;

%let qtr_lab=Q1/2017 - Q4/2017; *--- 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_UTDMMR.

ORIGINAL VALUES OF P_UTDMMR ARE 1,0.

MUST BE CONVERTED TO 1,2 IN SUDAAN.

*/

value p_utdmmrf

1='2+ MMR Up-to-date'

2='Not 2+ MMR 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, > $75,000"

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

3 = "BELOW"

4 = "UNKNOWN"

; 

run; 

data sud_file;

set &in_file. (keep= SEQNUMT P_UTDMMR &estiap. RACE_K INCPOV1 PDAT2 &wt. &strat.); 

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

NUMERIC ***;

if P_UTDMMR=0 then P_UTDMMR=2; *** CONVERT P_UTDMMR=0 TO P_UTDMMR=2 ***;

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

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101

*=== 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_UTDMMR INCPOV1 RACE_K;

title3 "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_UTDMMR ;

levels 4 3 2 ; 

tables (INCPOV1 * RACE_K * P_UTDMMR) ;

print nsum wsum rowper="2+ MMR Up-to-Date (ROWPER)"

serow="Standard Error (SEROW)" /style=nchs ;

rtitle "Table 4B. &qtr_lab., Percent 2+ MMR Up-to-Date and Estimated Standard Errors"; 

rtitle "WEIGHT = &WT."; 

rformat P_UTDMMR p_utdmmrf.; 

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_UTDMMR=1 and INCPOV1 > 0 and RACE_K > 0)); 

keep INCPOV1 RACE_K rowper serow;

label rowper='2+ MMR 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.: 2+ MMR 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_UTDMMR 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 

102

END.

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

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf17'; *--- SPECIFY PATH TO SAS DATASET ---*;

%let out='c:\nisteenpuf17'; *--- 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=Q1/2017 - Q4/2017; *--- NIS-TEEN 4 QUARTER PERIOD ---*;

PROC FORMAT; 

VALUE INCPVR2F 

1 = "ABOVE, > $75,000"

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

3 = "BELOW"

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;

TITLE1 HEIGHT=3 "Percentage of Teens Up-to-date with 2+ MMR"; 

TITLE2 HEIGHT=3 "by Race and Poverty Status, National Immunization Survey - Teen, 2017"; 

footnote j=r 'graph_4sud'; 

pattern1 value = solid color = blue;

pattern2 value = x3 color = green;

pattern3 value = l3 color = red;
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

pattern4 value = empty color = lib;

axis width = 3; 

run; 

proc gchart data=sud_est4;

vbar RACE_K 

/frame

discrete

sumvar=rowper

group=incpov1

gspace = 5

gaxis = axis

raxis = axis

name = 'graph_4_sud'

patternid = midpoint

; 

run; 

quit; 

ods html close; 

ods listing; 

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 

104
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 2+ MMR VACCINATIONS (P_UTDMMR) USING SAS.

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

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf17'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf17'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf17; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt17; * --- ESTIMATION AREA VARIABLE TO USE ---*;

%let wt=provwt_d; * --- WEIGHT TO USE (PROVWT_D is the dual-frame weight excluding territories. 

Use PROVWT_D_TERR to include territories) ---*;

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

STRATUM for all estimation) ---*;

proc format; 

value p_utdmmrf

0='Not 2+ MMR Up-To-Date'

1='2+ MMR 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"
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

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

106

25 = "GA"

27 = "KY"

28 = "MS"

29 = "NC"

30 = "SC"

31 = "TN"

34 = "IL-Rest of State"

35 = "IL-City of Chicago"

36 = "IN"

38 = "MI"

40 = "MN"

41 = "OH"

44 = "WI"

46 = "AR"

47 = "LA"

49 = "NM"

50 = "OK"

51 = "TX-Rest of State"

52 = "TX-Dallas County"

53 = "TX-El Paso County"

54 = "TX-City of Houston"

55 = "TX-Bexar County"

56 = "IA"

57 = "KS"

58 = "MO"

59 = "NE"

60 = "CO"

61 = "MT"

62 = "ND"

63 = "SD"

64 = "UT"

65 = "WY"

66 = "AZ"

68 = "CA"

72 = "HI"

73 = "NV"

74 = "AK"

75 = "ID"

76 = "OR"

77 = "WA"

108 = "TX-Travis County"

; 

run; 

data sas_file;

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

run; 

proc sort data = sas_file;

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

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

107

run; 

title1 '2+ MMR 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_UTDMMR;

var P_UTDMMR;

by &estiap.; 

format P_UTDMMR p_utdmmrf.; 

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='2+ MMR Up-To-Date')) noobs

label; 

format &estiap. estiapf.; 

format mean stderr 5.2; 

var &estiap. mean stderr;

label

mean='Percent 2+ MMR Up-to-Date'

stderr='Standard Error'; 

title "2+ MMR Estimates by Estimation Area"; 

run; 

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

title1 'SASSTATE.SAS'; 

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

THIS PROGRAM WILL PRODUCE STATE ESTIMATES AND STANDARD ERRORS

FOR 2+ MMR VACCINATIONS (P_UTDMMR) 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:\nisteenpuf17'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf17'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf17; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt17; * --- ESTIMATION AREA VARIABLE TO USE ---*;
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

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108

%let wt=provwt_d; * --- WEIGHT TO USE (PROVWT_D is the dual-frame weight excluding territories. 

Use PROVWT_D_TERR to include territories) ---*;

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

STRATUM for all estimation) ---*;

proc format; 

value p_utdmmrf

0='Not 2+ MMR Up-To-Date'

1='2+ MMR 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 '
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

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

109

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_UTDMMR &estiap. STATE &wt. &strat.);

run; 

proc sort data = sas_file;

by state;

run; 

title1 '2+ MMR 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_UTDMMR;

var P_UTDMMR;

by STATE;

format P_UTDMMR p_utdmmrf.; 

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='2+ MMR 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 2+ MMR Up-to-Date'

stderr='Standard Error'; 

title "2+ MMR 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:\nisteenpuf17'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf17'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf17; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt17; * --- ESTIMATION VARIABLE TO USE ---*;

%let wt=rddwt_d; * --- WEIGHT TO USE (RDDWT_D is the dual-frame weight excluding territories. 

Use RDDWT_D_TERR to include territories) ---*;

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

STRATUM for all estimation) ---*;

PROC FORMAT; 

value asthmaf

1='Yes'

2='No'

; 

value statef

0 ='U.S. Total '

1 ='Alabama '

2 ='Alaska '

4 ='Arizona '

5 ='Arkansas '

6 ='California '

8 ='Colorado '

9 ='Connecticut '

10 ='Delaware '

11 ='District of Columbia'

12 ='Florida '

13 ='Georgia '

15 ='Hawaii '

16 ='Idaho '

17 ='Illinois '

18 ='Indiana '

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

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

111

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_UTDMMR 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:\nisteenpuf17'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf17'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

libname out 'c:\nisteenpuf17'; *--- SPECIFY THE PATH FOR WHERE YOU WANT THE CHART 

OUTPUT TO GO ---*;

%let in_file=dd.nisteenpuf17; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt17; * --- ESTIMATION VARIABLE TO USE ---*;

%let wt=provwt_d; * --- WEIGHT TO USE (PROVWT_D is the dual-frame weight excluding territories. 

Use PROVWT_D_TERR to include 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 

113

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

STRATUM for all estimation) ---*;

%let qtr_lab=Q1/2017 - Q4/2017; *--- NIS-TEEN 4 QUARTER PERIOD ---*;

PROC FORMAT; 

value p_utdmmrf

0='Not 2+ MMR Up-To-Date'

1='2+ MMR Up-To-Date'

; 

VALUE RACE_KF

1 = "WHITE ONLY"

2 = "BLACK ONLY"

3 = "OTHER AND MULTIPLE RACE"

; 

VALUE INCPVR2F 

1 = "ABOVE, > $75,000"

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

3 = "BELOW"

4 = "UNKNOWN"

; 

run; 

data sas_file;

set &in_file. (keep= SEQNUMT P_UTDMMR &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_UTDMMR 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_UTDMMR;

var P_UTDMMR;

domain INCPOV1*RACE_K;

format P_UTDMMR p_utdmmrf.; 

run; 

data sas_est4;

set sas_est4 (rename=(INCPOV1=INCPOV1_char RACE_K=RACE_K_char));
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

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

114

*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='2+ MMR 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='2+ MMR Up-To-Date'

stderr='Standard Error'; 

title1 "Table 4B. &qtr_lab.: 2+ MMR ESTIMATES BY INCPOV1 BY RACE_K"; 

run; 

data out.sas_est4;

set sas_est4(where=(varlevel='2+ MMR Up-To-Date')); 

keep INCPOV1 RACE_K mean;

label mean='2+ MMR 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_UTDMMR 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:\nisteenpuf17'; *--- SPECIFY PATH TO SAS DATASET ---*;

%let out='c:\nisteenpuf17'; *--- 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=Q1/2017 - Q4/2017; *--- NIS-TEEN 4 QUARTER PERIOD ---*;

PROC FORMAT; 

VALUE INCPVR2F 
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

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

115

1 = "ABOVE, > $75,000"

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

3 = "BELOW"

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;

TITLE1 HEIGHT=3 "Percentage of Teens Up-to-date with 2+ MMR"; 

TITLE2 HEIGHT=3 "by Race and Poverty Status, National Immunization Survey - Teen, 2017"; 

footnote j=r 'graph_4'; 

pattern1 value = solid color = blue;

pattern2 value = x3 color = green;

pattern3 value = l3 color = red;

pattern4 value = empty color = lib;

axis width = 3; 

run; 

proc gchart data=sas_est4;

vbar RACE_K 

/frame

discrete

sumvar=mean

group=INCPOV1

gspace = 5

gaxis = axis

raxis = axis

name = 'graph_4'
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patternid = midpoint

; 

run; 

quit; 

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 2+ MMR VACCINATIONS (P_UTDMMR) 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:/nisteenpuf17" #"path-to-dataset"

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

in.file <- paste(dd,"/NISTEENPUF17.RData",sep="")

#---READ R DATASET---# 

load(in.file) 

#---FORMAT---# 

UTDMMRlevels=c(0,1)

UTDMMRlabels=c("NOT 2+ MMR UTD", "2+ MMR UTD")

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

46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 72, 73, 74, 75, 76, 77, 108) 

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

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

"IL-Rest of State", "IL-City of Chicago", "IN", "MI", "MN", "OH", "WI", "AR", "LA", "NM", "OK", "TX-Rest of State", "TXDallas County", "TX-El Paso County", "TX-City of Houston", "TX-Bexar County", "IA", "KS", "MO", "NE", "CO", "MT", 

"ND", "SD", "UT", "WY", "AZ", "CA", "HI", "NV", "AK", "ID", "OR", "WA", "TX-Travis County")

#---PROVWT_D WILL BE USED AS A WEIGHT (PROVWT_D IS THE DUAL-FRAME WEIGHT EXCLUDING 

TERRITORIES USE PROVWT_D_TERR TO INCLUDE TERRITORIES---# 

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

ALL ESTIMATION ---# 

R_FILE <- subset(NISTEENPUF17, select=c(SEQNUMT, P_UTDMMR, ESTIAPT17, PROVWT_D, STRATUM)) 

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

R_FILE <- na.omit(R_FILE) 

#---ASSIGN LABELS---# 

R_FILE$P_UTDMMR <- factor(R_FILE$P_UTDMMR, levels=UTDMMRlevels, labels=UTDMMRlabels)

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_UTDMMR, 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 2+ MMR ESTIMATES AT A NATIONWIDE LEVEL"

prn(r_nation_est, title)

#---ESTIMATION AREA ESTIMATES AND STANDARD ERRORS---# 

r_est <- svyby(~P_UTDMMR, ~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 2+ MMR UTD", "STANDARD ERROR UTD")

title <- "PERCENT 2+ MMR ESTIMATES BY ESTIMATION AREA"

prn(r_est, title)

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

title <- "R_STATE.R"

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

#THIS PROGRAM WILL PRODUCE STATE ESTIMATES AND STANDARD ERRORS

#FOR 2+ MMR VACCINATIONS (P_UTDMMR) 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:/nisteenpuf17" #"path-to-data"

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

in.file <- paste(dd,"/NISTEENPUF17.RData",sep="")

#---READ R DATASET---# 

load(in.file) 

#---FORMAT---# 

UTDMMRlevels=c(0,1)

UTDMMRlabels=c("NOT 2+ MMR UTD", "2+ MMR 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_D WILL BE USED AS A WEIGHT (PROVWT_D IS THE DUAL-FRAME WEIGHT EXCLUDING

TERRITORIES; USE PROVWT_D_TERR TO INCLUDE TERRITORIES ---# 

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

ALL ESTIMATION ---# 

R_FILE <- subset(NISTEENPUF17, select=c(SEQNUMT, P_UTDMMR, ESTIAPT17, STATE, PROVWT_D, STRATUM)) 

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

R_FILE <- na.omit(R_FILE) 

#---ASSIGN LABELS---# 

R_FILE$P_UTDMMR <- factor(R_FILE$P_UTDMMR, levels=UTDMMRlevels, labels=UTDMMRlabels)

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_UTDMMR, ~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 2+ MMR UTD", "STANDARD ERROR UTD")

prn(r_est2, '2+ MMR 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. 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:/nisteenpuf17" #"path-to-dataset"

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

in.file <- paste(dd,"/NISTEENPUF17.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_D WILL BE USED AS A WEIGHT (RDDWT_D IS THE DUAL-FRAME WEIGHT EXCLUDING

TERRITORIES; USE RDDWT_D_TERR TO INCLUDE TERRITORIES---# 

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

ALL ESTIMATION ---# 

R_FILE <- subset(NISTEENPUF17, select=c(SEQNUMT, ESTIAPT17, STATE, ASTHMA, RDDWT_D, 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_UTDMMR 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:/nisteenpuf17" #"path-to-dataset"

out <-"c:/nisteenpuf17" #"path where output will go"

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

in.file <- paste(dd,"/NISTEENPUF17.RData",sep="")
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#---READ R DATASET---# 

load(in.file) 

#---FORMAT---# 

UTDMMRlevels=c(0,1)

UTDMMRlabels=c("NOT 2+ MMR UTD", "2+ MMR 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_D WILL BE USED AS A WEIGHT (PROVWT_D IS THE DUAL-FRAME WEIGHT EXCLUDING 

TERRITORIES; USE PROVWT_D_TERR TO INCLUDE TERRITORIES ---# 

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

ALL ESTIMATION ---# 

R_FILE <- subset(NISTEENPUF17, select=c(SEQNUMT, P_UTDMMR, ESTIAPT17, RACE_K, INCPOV1, PROVWT_D, 

STRATUM, PDAT2)) 

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

#---ASSIGN LABELS---# 

R_FILE$P_UTDMMR <- factor(R_FILE$P_UTDMMR, levels=UTDMMRlevels, labels=UTDMMRlabels, 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. Q1/2017 - Q4/2017', 'UNWEIGHTED FREQUENCIES', label(UNWT.VAR), sep="\n")

label(unwtd.freq) <- unwtd.title 

print(unwtd.freq) 

} 

unwt_freq(R_FILE$P_UTDMMR[R_FILE$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 2+ MMR UP-TO-DATE AND ESTIMATED STANDARD ERRORS---# 

r_est4 <- svyby(~P_UTDMMR, ~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. Q1/2017 - Q4/2017, 2+ MMR 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_UTDMMR 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:/nisteenpuf17" #---SPECIFY PATH TO R DATASET THAT WAS THE OUTPUT OF R_PROG_4---# 

out <- "c:/nisteenpuf17" #---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=0.75, ylim=c(0,120),

 xlab="Poverty Status",

 ylab="2+ MMR Up-To-Date (%)", cex=0.75, cex.names=0.75, border=NA)

legend("top", rownames(utdmmr), col=c("wheat", "lightpink2",

 "forestgreen"), title="Race of Teen", pch=15, cex=0.75)

title1 <- "Percentage of Teens Up-to-date with 2+ MMR \n" 

title2 <- "by Race and Poverty Status, National Immunization Survey - Teen, 2017\n" 

mtext(paste(title1,title2), cex=1)
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Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

126

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, 2008-2017

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

AGE AGE IN YEARS OF SELECTED TEEN Y Y Y Y Y Y Y Y Y Y 

AGEGRP_M_I MOTHER'S AGE CATEGORIES (RECODE) 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 

C1R NUMBER OF PEOPLE IN HOUSEHOLD 

(RECODE) 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 

CEN_REG CENSUS REGION BASED ON TRUE STATE 

OF RESIDENCE 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 

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 

CKUP_AGE AGE IN YEARS AT LAST CHECK-UP 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 

CPOX_AGE AGE IN YEARS WHEN HAD CHICKEN POX 

DISEASE 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 

CPOX_HAD TEEN EVER HAD CHICKEN POX DISEASE? Y Y Y Y Y Y Y Y Y Y 

D6R 

NUMBER OF PROVIDERS IDENTIFIED BY 

RESPONDENT (NOT DE-DUPLICATED) 

(RECODE)

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 

EDUC_TR TEEN'S CURRENT GRADE IN SCHOOL 

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

EDUC1 EDUCATION LEVEL OF MOTHER WITH 4 

CATEGORIES (RECODE) Y Y Y Y Y Y Y Y Y Y 
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 Notes

EST_GRANT AREA OF RESIDENCE PER THE 56 CORE NIS 

GRANTEE AREAS 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. 

FACILITY FACILITY TYPES FOR TEEN'S PROVIDERS Y Y Y Y Y Y Y Y Y Y 

FLU_AGE 

AGE OF TEEN IN YEARS AT HH-REPORTED 

INFLUENZA VACCINATION RECEIVED 

MOST RECENTLY

Y Dropped in 2009 due to mid-year 

questionnaire changes.
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 Notes

FLU_AGE1 

AGE IN YEARS OF PROV-REPORTED 

SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #1

Y Y Y Y Y Y Y Y Y Y 

FLU_AGE2 

AGE IN YEARS OF PROV-REPORTED 

SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #2

Y Y Y Y Y Y Y Y Y Y 

FLU_AGE3 

AGE IN YEARS OF PROV-REPORTED 

SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #3

Y Y Y Y Y Y Y Y Y Y 

FLU_AGE4 

AGE IN YEARS OF PROV-REPORTED 

SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #4

Y Y Y Y Y Y Y Y Y Y 

FLU_AGE5 

AGE IN YEARS OF PROV-REPORTED 

SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #5

Y Y Y Y Y Y Y Y Y Y 

FLU_AGE6 

AGE IN YEARS OF PROV-REPORTED 

SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #6

Y Y Y Y Y Y Y Y Y Y 

FLU_AGE7 

AGE IN YEARS OF PROV-REPORTED 

SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #7

Y Y Y Y Y Y Y Y Y Y 

FLU_AGE8 

AGE IN YEARS OF PROV-REPORTED 

SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #8

Y Y Y Y Y Y Y Y Y Y 

FLU_AGE9 

AGE IN YEARS OF PROV-REPORTED 

SEASONAL INFLUENZA VACCINATION IN

PAST THREE YEARS #9

Y Y Y Y Y Y Y Y Y Y 

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.

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.

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.
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 Notes

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.

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.

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.

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.

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.

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.

FLU_MAGE1

AGE IN MONTHS 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.

FLU_MAGE2

AGE IN MONTHS 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.

FLU_MAGE3

AGE IN MONTHS 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.

FLU_MAGE4

AGE IN MONTHS 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.

FLU_MAGE5

AGE IN MONTHS 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.

FLU_MAGE6

AGE IN MONTHS 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.

FLU_MAGE7

AGE IN MONTHS 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.

FLU_MAGE8

AGE IN MONTHS 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.
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 Notes

FLU_MAGE9

AGE IN MONTHS 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.

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 

FLU_MONTH2 

MONTH OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #2

Y Y Y Y Y Y Y Y Y Y 

FLU_MONTH3 

MONTH OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #3

Y Y Y Y Y Y Y Y Y Y 

FLU_MONTH4 

MONTH OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #4

Y Y Y Y Y Y Y Y Y Y 

FLU_MONTH5 

MONTH OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #5

Y Y Y Y Y Y Y Y Y Y 

FLU_MONTH6 

MONTH OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #6

Y Y Y Y Y Y Y Y Y Y 

FLU_MONTH7 

MONTH OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #7

Y Y Y Y Y Y Y Y Y Y 

FLU_MONTH8 

MONTH OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #8

Y Y Y Y Y Y Y Y Y Y 

FLU_MONTH9 

MONTH OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #9

Y Y Y Y Y Y Y Y Y Y 

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.
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 Notes

FLU_YEAR1 

YEAR OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #1

Y Y Y Y Y Y Y Y Y Y 

FLU_YEAR2 

YEAR OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #2

Y Y Y Y Y Y Y Y Y Y 

FLU_YEAR3 

YEAR OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #3

Y Y Y Y Y Y Y Y Y Y 

FLU_YEAR4 

YEAR OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #4

Y Y Y Y Y Y Y Y Y Y 

FLU_YEAR5 

YEAR OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #5

Y Y Y Y Y Y Y Y Y Y 

FLU_YEAR6 

YEAR OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #6

Y Y Y Y Y Y Y Y Y Y 

FLU_YEAR7 

YEAR OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #7

Y Y Y Y Y Y Y Y Y Y 

FLU_YEAR8 

YEAR OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #8

Y Y Y Y Y Y Y Y Y Y 

FLU_YEAR9 

YEAR OF PROV-REPORTED SEASONAL 

INFLUENZA VACCINATION IN PAST THREE 

YEARS #9

Y Y Y Y Y Y Y Y Y Y 

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.
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 Notes

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.

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.
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 Notes

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.

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 PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #1

Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_MAGE2 

AGE IN MONTHS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #2

Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_MAGE3 

AGE IN MONTHS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #3

Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

134

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

H1N_MAGE4 

AGE IN MONTHS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #4

Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_MAGE5 

AGE IN MONTHS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #5

Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_MAGE6 

AGE IN MONTHS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #6

Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_MAGE7 

AGE IN MONTHS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #7

Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_MAGE8 

AGE IN MONTHS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #8

Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_MAGE9 

AGE IN MONTHS OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #9

Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011. H1N1 influenza was 

removed from the IHQ and the 

PUF in 2013.

H1N_MONTH1 

MONTH OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #1

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_MONTH2 

MONTH OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #2

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_MONTH3 

MONTH OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #3

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

135

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

H1N_MONTH4 

MONTH OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #4

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_MONTH5 

MONTH OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #5

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_MONTH6 

MONTH OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #6

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_MONTH7 

MONTH OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #7

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_MONTH8 

MONTH OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #8

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_MONTH9 

MONTH OF PROV-REPORTED 

MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #9

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_YEAR1 YEAR OF PROV-REPORTED MONOVALENT 

2009 H1N1 INFLUENZA VACCINATION #1 Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_YEAR2 YEAR OF PROV-REPORTED MONOVALENT 

2009 H1N1 INFLUENZA VACCINATION #2 Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_YEAR3 YEAR OF PROV-REPORTED MONOVALENT 

2009 H1N1 INFLUENZA VACCINATION #3 Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

136

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

H1N_YEAR4 YEAR OF PROV-REPORTED MONOVALENT 

2009 H1N1 INFLUENZA VACCINATION #4 Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_YEAR5 YEAR OF PROV-REPORTED MONOVALENT 

2009 H1N1 INFLUENZA VACCINATION #5 Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_YEAR6 YEAR OF PROV-REPORTED MONOVALENT 

2009 H1N1 INFLUENZA VACCINATION #6 Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_YEAR7 YEAR OF PROV-REPORTED MONOVALENT 

2009 H1N1 INFLUENZA VACCINATION #7 Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_YEAR8 YEAR OF PROV-REPORTED MONOVALENT 

2009 H1N1 INFLUENZA VACCINATION #8 Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

H1N_YEAR9 YEAR OF PROV-REPORTED MONOVALENT 

2009 H1N1 INFLUENZA VACCINATION #9 Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

HEPA_AGE_SC1 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS A SHOT #1 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPA_AGE_SC2 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS A SHOT #2 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPA_AGE_SC3 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS A SHOT #3 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPA_AGE_SC4 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS A SHOT #4 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPA_AGE_SC5 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS A SHOT #5 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPA_AGE_SC6 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS A SHOT #6 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 
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 Notes

HEPA_AGE_SC7 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS A SHOT #7 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPA_AGE_SC8 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS A SHOT #8 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPA_AGE1 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #1 Y Y Y Y Y Y Y Y Y Y 

HEPA_AGE2 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #2 Y Y Y Y Y Y Y Y Y Y 

HEPA_AGE3 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #3 Y Y Y Y Y Y Y Y Y Y 

HEPA_AGE4 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #4 Y Y Y Y Y Y Y Y Y Y 

HEPA_AGE5 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #5 Y Y Y Y Y Y Y Y Y Y 

HEPA_AGE6 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #6 Y Y Y Y Y Y Y Y Y Y 

HEPA_AGE7 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #7 Y Y Y Y Y Y Y Y Y Y 

HEPA_AGE8 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #8 Y Y Y Y Y Y Y Y Y Y 

HEPA_AGE9 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS A-CONTAINING SHOT #9 Y Y Y Y Y Y Y Y Y Y 

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.

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.

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.

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.

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.
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 Notes

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.

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.

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.

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.

HEPA_MAGE1 AGE IN MONTHS 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.

HEPA_MAGE2 AGE IN MONTHS 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.

HEPA_MAGE3 AGE IN MONTHS 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.

HEPA_MAGE4 AGE IN MONTHS 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.

HEPA_MAGE5 AGE IN MONTHS 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.

HEPA_MAGE6 AGE IN MONTHS 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.

HEPA_MAGE7 AGE IN MONTHS 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.

HEPA_MAGE8 AGE IN MONTHS 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.

HEPA_MAGE9 AGE IN MONTHS 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.

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. 
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 Notes

HEPA_NUM_TOT NUMBER OF HH-REPORTED HEPATITIS A 

SHOTS RECEIVED (TOTAL) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPA_RECOM 

HAD OR HAS DOCTOR OR OTHER HEALTH 

CARE PROFESSIONAL EVER 

RECOMMENDED HEPATITIS A SHOTS?

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

questionnaire. 

HEPB_AGE_SC1 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS B SHOT #1 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPB_AGE_SC2 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS B SHOT #2 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPB_AGE_SC3 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS B SHOT #3 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPB_AGE_SC4 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS B SHOT #4 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPB_AGE_SC5 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS B SHOT #5 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPB_AGE_SC6 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS B SHOT #6 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPB_AGE_SC7 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS B SHOT #7 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPB_AGE_SC8 AGE OF TEEN IN YEARS AT HH-REPORTED 

HEPATITIS B SHOT #8 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

HEPB_AGE1 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #1 Y Y Y Y Y Y Y Y Y Y 

HEPB_AGE2 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #2 Y Y Y Y Y Y Y Y Y Y 

HEPB_AGE3 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #3 Y Y Y Y Y Y Y Y Y Y 

HEPB_AGE4 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #4 Y Y Y Y Y Y Y Y Y Y 

HEPB_AGE5 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #5 Y Y Y Y Y Y Y Y Y Y 

HEPB_AGE6 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #6 Y Y Y Y Y Y Y Y Y Y 

HEPB_AGE7 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #7 Y Y Y Y Y Y Y Y Y Y 

HEPB_AGE8 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #8 Y Y Y Y Y Y Y Y Y Y 

HEPB_AGE9 AGE IN YEARS OF PROV-REPORTED 

HEPATITIS B-CONTAINING SHOT #9 Y Y Y Y Y Y Y Y Y Y 

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. 
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 Notes

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.

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.

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.

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.

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.

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.

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.

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.

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.

HEPB_MAGE1 AGE IN MONTHS 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.

HEPB_MAGE2 AGE IN MONTHS 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.

HEPB_MAGE3 AGE IN MONTHS 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.

HEPB_MAGE4 AGE IN MONTHS 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.
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 Notes

HEPB_MAGE5 AGE IN MONTHS 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.

HEPB_MAGE6 AGE IN MONTHS 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.

HEPB_MAGE7 AGE IN MONTHS 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.

HEPB_MAGE8 AGE IN MONTHS 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.

HEPB_MAGE9 AGE IN MONTHS 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.

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 

INFLUENZA-CONTAINING 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 

HPV_AGE2 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #2 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 

HPV_AGE4 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #4 Y Y Y Y Y Y Y Y Y Y 
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 Notes

HPV_AGE5 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #5 Y Y Y Y Y Y Y Y Y Y 

HPV_AGE6 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #6 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 

HPV_AGE8 AGE IN YEARS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #8 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 

HPV_DAGE1 AGE IN DAYS OF PROV-REPORTED HUMAN 

PAPILLOMAVIRUS SHOT #1 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 

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 

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 

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 

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 

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 

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 

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 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

HPV_MAGE1 AGE IN MONTHS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #1 Y Y Y Y Y Y Y 

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 

143

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

HPV_MAGE2 AGE IN MONTHS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #2 Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

HPV_MAGE3 AGE IN MONTHS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #3 Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

HPV_MAGE4 AGE IN MONTHS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #4 Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

HPV_MAGE5 AGE IN MONTHS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #5 Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

HPV_MAGE6 AGE IN MONTHS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #6 Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

HPV_MAGE7 AGE IN MONTHS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #7 Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

HPV_MAGE8 AGE IN MONTHS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #8 Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

HPV_MAGE9 AGE IN MONTHS OF PROV-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #9 Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

HPVI_AGE_SC1 

AGE OF TEEN IN YEARS AT HH-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #1 

(SHOTCARD) 

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

questionnaire. 

HPVI_AGE_SC2 

AGE OF TEEN IN YEARS AT HH-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #2 

(SHOTCARD) 

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

questionnaire. 

HPVI_AGE_SC3 

AGE OF TEEN IN YEARS AT HH-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #3 

(SHOTCARD) 

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

questionnaire. 

HPVI_AGE_SC4 

AGE OF TEEN IN YEARS AT HH-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #4 

(SHOTCARD) 

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

questionnaire. 

HPVI_AGE_SC5 

AGE OF TEEN IN YEARS AT HH-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #5 

(SHOTCARD) 

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

questionnaire. 

HPVI_AGE_SC6 

AGE OF TEEN IN YEARS AT HH-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #6 

(SHOTCARD) 

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

questionnaire. 
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 Notes

HPVI_AGE_SC7 

AGE OF TEEN IN YEARS AT HH-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #7 

(SHOTCARD) 

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

questionnaire. 

HPVI_AGE_SC8 

AGE OF TEEN IN YEARS AT HH-REPORTED 

HUMAN PAPILLOMAVIRUS SHOT #8 

(SHOTCARD) 

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

questionnaire. 

HPVI_ANY_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 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 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 

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 

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 

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 
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 Notes

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 
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 Notes

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 

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 

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 

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 

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 

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 

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 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 

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 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 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 

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 
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 Notes

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 

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 

I_HISP_K IS TEEN HISPANIC OR LATINO? 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 

INCPORAR INCOME TO POVERTY RATIO (RECODE) Y Y Y Y Y Y Y Y Y Y 

INCPORAR_I INCOME TO POVERTY RATIO: IMPUTED 

(RECODE) Y Y Imputed version of INCPORAR added in 2016.

INCPOV1 POVERTY STATUS 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 

INS_BREAK_I CONTINUITY OF INSURANCE COVERAGE 

SINCE AGE 11: IMPUTED 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 Replaced INS_STAT_I starting 

in 2017.

LANGUAGE LANGUAGE IN WHICH INTERVIEW WAS 

CONDUCTED Y Y Y Y Y Y Y Y Y Y 

MARITAL MARITAL STATUS OF MOTHER: IMPUTED 

(COLLAPSED) Y Replaced by MARITAL2 startingin 2009.

MARITAL2 MARITAL STATUS OF MOTHER (RECODE) Y Y Y Y Y Y Y Y Y Replaced MARITAL2 starting in 

2009.

MCV_AGE_SC1 AGE OF TEEN IN YEARS AT HH-REPORTED 

MEASLES OR MMR SHOT #1 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MCV_AGE_SC2 AGE OF TEEN IN YEARS AT HH-REPORTED 

MEASLES OR MMR SHOT #2 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MCV_AGE_SC3 AGE OF TEEN IN YEARS AT HH-REPORTED 

MEASLES OR MMR SHOT #3 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MCV_AGE_SC4 AGE OF TEEN IN YEARS AT HH-REPORTED 

MEASLES OR MMR SHOT #4 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MCV_AGE_SC5 AGE OF TEEN IN YEARS AT HH-REPORTED 

MEASLES OR MMR SHOT #5 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 
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 Notes

MCV_AGE_SC6 AGE OF TEEN IN YEARS AT HH-REPORTED 

MEASLES OR MMR SHOT #6 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MCV_AGE_SC7 AGE OF TEEN IN YEARS AT HH-REPORTED 

MEASLES OR MMR SHOT #7 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MCV_AGE_SC8 AGE OF TEEN IN YEARS AT HH-REPORTED 

MEASLES OR MMR SHOT #8 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MCV_AGE1 AGE IN YEARS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #1 Y Y Y Y Y Y Y Y Y Y 

MCV_AGE2 AGE IN YEARS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #2 Y Y Y Y Y Y Y Y Y Y 

MCV_AGE3 AGE IN YEARS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #3 Y Y Y Y Y Y Y Y Y Y 

MCV_AGE4 AGE IN YEARS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #4 Y Y Y Y Y Y Y Y Y Y 

MCV_AGE5 AGE IN YEARS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #5 Y Y Y Y Y Y Y Y Y Y 

MCV_AGE6 AGE IN YEARS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #6 Y Y Y Y Y Y Y Y Y Y 

MCV_AGE7 AGE IN YEARS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #7 Y Y Y Y Y Y Y Y Y Y 

MCV_AGE8 AGE IN YEARS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #8 Y Y Y Y Y Y Y Y Y Y 

MCV_AGE9 AGE IN YEARS OF PROV-REPORTED 

MEASLES-CONTAINING SHOT #9 Y Y Y Y Y Y Y Y Y Y 

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.

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.

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.

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.
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 Notes

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.

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.

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.

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.

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.

MCV_MAGE1 AGE IN MONTHS 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.

MCV_MAGE2 AGE IN MONTHS 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.

MCV_MAGE3 AGE IN MONTHS 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.

MCV_MAGE4 AGE IN MONTHS 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.

MCV_MAGE5 AGE IN MONTHS 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.

MCV_MAGE6 AGE IN MONTHS 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.

MCV_MAGE7 AGE IN MONTHS 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.

MCV_MAGE8 AGE IN MONTHS 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.

MCV_MAGE9 AGE IN MONTHS 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.
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 Notes

MCV_NUM_REC

NUMBER OF HH-REPORTED 

MMR/MEASLES SHOTS RECEIVED 

(RECALL)

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

questionnaire. 

MCV_NUM_SC 

NUMBER OF HH-REPORTED 

MMR/MEASLES SHOTS RECEIVED 

(SHOTCARD) 

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

questionnaire. 

MCV_NUM_TOT NUMBER OF HH-REPORTED 

MMR/MEASLES SHOTS RECEIVED (TOTAL) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MEN_AGE_SC1 AGE OF TEEN IN YEARS AT HH-REPORTED 

MENINGOCOCCAL SHOT #1 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MEN_AGE_SC2 AGE OF TEEN IN YEARS AT HH-REPORTED 

MENINGOCOCCAL SHOT #2 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MEN_AGE_SC3 AGE OF TEEN IN YEARS AT HH-REPORTED 

MENINGOCOCCAL SHOT #3 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MEN_AGE_SC4 AGE OF TEEN IN YEARS AT HH-REPORTED 

MENINGOCOCCAL SHOT #4 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MEN_AGE_SC5 AGE OF TEEN IN YEARS AT HH-REPORTED 

MENINGOCOCCAL SHOT #5 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MEN_AGE_SC6 AGE OF TEEN IN YEARS AT HH-REPORTED 

MENINGOCOCCAL SHOT #6 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MEN_AGE_SC7 AGE OF TEEN IN YEARS AT HH-REPORTED 

MENINGOCOCCAL SHOT #7 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MEN_AGE_SC8 AGE OF TEEN IN YEARS AT HH-REPORTED 

MENINGOCOCCAL SHOT #8 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

MEN_AGE1

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #1

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 

MEN_AGE3

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #3

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 

MEN_AGE5

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #5

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 
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 Notes

MEN_AGE7

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #7

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 

MEN_AGE9

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #9

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 Replaced MEN_ANY_REC in2015. 

MEN_DAGE1

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #1

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 

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 

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 

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 

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 

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 

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 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

MEN_DAGE9

AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #9

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 

152

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

MEN_MAGE1

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #1

Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

MEN_MAGE2

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #2

Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

MEN_MAGE3

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #3

Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

MEN_MAGE4

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #4

Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

MEN_MAGE5

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #5

Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

MEN_MAGE6

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #6

Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

MEN_MAGE7

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #7

Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

MEN_MAGE8

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #8

Y Y Y Y Y Y Y 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

MEN_MAGE9

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP ACWY 

SHOT #9

Y Y Y Y Y Y Y 

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 

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 

MEN_REAS_10 MAIN REASON TEEN DID NOT RECEIVE 

MENINGITIS SHOTS: COSTS 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 
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 Notes

MEN_REAS_12 

MAIN REASON TEEN DID NOT RECEIVE 

MENINGITIS SHOTS: EFFECTIVENESS 

CONCERN

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 

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 

MEN_REAS_15 MAIN REASON TEEN DID NOT RECEIVE 

MENINGITIS SHOTS: COLLEGE SHOT 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 

MEN_REAS_17 

MAIN REASON TEEN DID NOT RECEIVE 

MENINGITIS SHOTS: FAMILY/PARENTAL 

DECISION

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 

MEN_REAS_19 MAIN REASON TEEN DID NOT RECEIVE 

MENINGITIS SHOTS: RELIGION/ORTHODOX 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 

MEN_REAS_20 MAIN REASON TEEN DID NOT RECEIVE 

MENINGITIS SHOTS: TIME 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 

MEN_REAS_22 

MAIN REASON TEEN DID NOT RECEIVE 

MENINGITIS SHOTS: ALREADY UP-TODATE Y Y Y Y Y Y Y Y Y Y 

MEN_REAS_23 

MAIN REASON TEEN DID NOT RECEIVE 

MENINGITIS SHOTS: NO DOCTOR OR 

DOCTOR'S VISIT NOT SCHEDULED

Y Y Y Y Y Y Y Y Y Y 

MEN_REAS_24 MAIN REASON TEEN DID NOT RECEIVE 

MENINGITIS SHOTS: INTEND TO 

COMPLETE BUT HAVE NOT YET/ALREADY 

PLANNED 

Y Y Additional reason flag added in 

2016.
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 Notes

MEN_REAS_25 MAIN REASON TEEN DID NOT RECEIVE 

MENINGITIS SHOTS: DIFFICULTY MAKING 

OR GETTING TO 

APPOINTMENT/TRANSPORTATION 

PROBLEMS

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 

MEN_REAS_4 

MAIN REASON TEEN DID NOT RECEIVE 

MENINGITIS SHOTS: NOT SCHOOL 

REQUIREMENT

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 

MEN_REAS_6 

MAIN REASON TEEN DID NOT RECEIVE 

MENINGITIS SHOTS: NOT APPROPRIATE 

AGE 

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 

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 

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 

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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_AGE4 AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B SHOT #4 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 

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 

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 

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 

155

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

MENB_AGE8 AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B SHOT #8 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 

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 

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 

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 

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 

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 

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 

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 

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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_DAGE9 AGE IN DAYS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B SHOT #9 Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE1 AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B SHOT #1 Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE2 AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B SHOT #2 Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE3 AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B SHOT #3 Y Y 

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 

156

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

MENB_MAGE4 AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B SHOT #4 Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE5 AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B SHOT #5 Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE6 AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B SHOT #6 Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE7 AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B SHOT #7 Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE8 AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B SHOT #8 Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016. 

MENB_MAGE9 AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL SEROGROUP B SHOT #9 Y Y 

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 

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 

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 

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 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_AGE5

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #5

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 

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 

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 

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 

157

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

MENU_AGE9

AGE IN YEARS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #9

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 

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 

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 

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 

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 

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 

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 

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 

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 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE1

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #1

Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE2

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #2

Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE3

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #3

Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE4

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #4

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 

158

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

MENU_MAGE5

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #5

Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE6

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #6

Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE7

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #7

Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE8

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #8

Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

MENU_MAGE9

AGE IN MONTHS OF PROV-REPORTED 

MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOT #9

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

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 

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 

NUM_CELLS_HH

NUMBER OF WORKING CELL PHONES 

HOUSEHOLD MEMBERS HAVE AVAILABLE 

FOR PERSONAL USE

Y Y Y Y Y Y Y Y Y Question added to household 

questionnaire in 2009.

NUM_CELLS_PARE

NTS

NUMBER OF WORKING CELL PHONES 

USUALLY USED BY PARENTS OR 

GUARDIANS 

Y Y Y Y Y Y Y Y Y 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 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 

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 
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 Notes

P_N13FLU_FL 

NUMBER OF SEASONAL INFLUENZA 

VACCINATIONS OF UNKNOWN TYPE IN 

PAST THREE YEARS BY AGE 13 YEARS 

DETERMINED FROM PROVIDER INFO, 

EXCLUDING ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

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 

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 

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 

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 

P_N13H1N

NUMBER OF MONOVALENT 2009 H1N1 

INFLUENZA VACCINATIONS BY AGE 13 

YEARS DETERMINED FROM PROVIDER 

INFO, EXCLUDING VACCINATIONS AFTER 

THE HOUSEHOLD INTERVIEW DATE AND 

EXCLUDING VACCINATIONS GIVEN PRIOR 

TO 10/5/2009.

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

P_N13H1N_1L

NUMBER OF MONOVALENT 2009 H1N1 

INFLUENZA VACCINATIONS OF UNKNOWN 

TYPE BY AGE 13 YEARS DETERMINED 

FROM PROVIDER INFO, EXCLUDING 

VACCINATIONS AFTER THE HOUSEHOLD 

INTERVIEW DATE AND EXCLUDING 

VACCINATIONS GIVEN PRIOR TO 10/5/2009.

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

160

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

P_N13H1N_1M

NUMBER OF INHALED NASAL 

MONOVALENT 2009 H1N1 INFLUENZA 

SPRAY VACCINATIONS BY AGE 13 YEARS 

DETERMINED FROM PROVIDER INFO, 

EXCLUDING VACCINATIONS AFTER THE 

HOUSEHOLD INTERVIEW DATE AND 

EXCLUDING VACCINATIONS GIVEN PRIOR 

TO 10/5/2009.

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

P_N13H1N_1N

NUMBER OF INJECTED MONOVALENT 2009 

H1N1 INFLUENZA VACCINATIONS BY AGE 

13 YEARS DETERMINED FROM PROVIDER 

INFO, EXCLUDING VACCINATIONS AFTER 

THE HOUSEHOLD INTERVIEW DATE AND 

EXCLUDING VACCINATIONS GIVEN PRIOR 

TO 10/5/2009.

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

P_N13HEPA 

NUMBER OF HEPATITIS A-CONTAINING 

SHOTS BY AGE 13 YEARS DETERMINED 

FROM PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

P_N13HEPA_HA 

NUMBER OF HEPATITIS A-CONTAINING 

SHOTS OF UNKNOWN TYPE BY AGE 13 

YEARS DETERMINED FROM PROVIDER 

INFO, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

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 

P_N13HEPB 

NUMBER OF HEPATITIS B-CONTAINING 

SHOTS BY AGE 13 YEARS DETERMINED 

FROM PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

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 

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 
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 Notes

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 

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 

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 

P_N13HEPB_HB 

NUMBER OF HEPATITIS B-CONTAINING 

SHOTS OF UNKNOWN TYPE BY AGE 13 

YEARS DETERMINED FROM PROVIDER 

INFO, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

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 

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 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 

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 HPV shot type variables added to 

the PUF in 2012.
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 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 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 

Added in 2015 to account for 

reported HPV Gardasil shots with 

unknown valence. 

P_N13MCV

NUMBER OF MEASLES-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 

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 

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 

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 

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 

P_N13MCV_MM

NUMBER OF MEASLES-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 

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 
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 Notes

P_N13MEN

NUMBER OF MENINGOCOCCAL 

SEROGROUP ACWY 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 

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 

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 

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 

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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

P_N13MENB_BB NUMBER OF MENINGOCOCCAL MENB-4C 

SHOTS BY AGE 13 YEARS DETERMINED 

FROM PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

P_N13MENB_BT NUMBER OF MENINGOCOCCAL MENBFHPB SHOTS BY AGE 13 YEARS 

DETERMINED FROM PROVIDER INFO, 

EXCLUDING ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

Y Y 

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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

164

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

P_N13MENU NUMBER OF MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOTS BY AGE 13 YEARS 

DETERMINED FROM PROVIDER INFO, 

EXCLUDING ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

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 

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 

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 

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 Up-to-date variable added to the 

PUF in 2010.

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 

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 

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 

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 
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 Notes

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 

P_N13VRC 

NUMBER OF VARICELLA-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 

P_N13VRC_POST1 

NUMBER OF VARICELLA-CONTAINING 

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 

P_N13VRC_VA 

NUMBER OF VARICELLA-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 

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 

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 

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 

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 
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 Notes

P_NUMFLU_FM 

NUMBER OF SEASONAL FLUMIST 

VACCINATIONS IN PAST THREE YEARS 

DETERMINED FROM PROVIDER INFO, 

EXCLUDING ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

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 

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 

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 

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.
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 Notes

P_NUMH1N_1N 

NUMBER OF INJECTED MONOVALENT 2009 

H1N1 INFLUENZA VACCINATIONS 

DETERMINED FROM PROVIDER INFO, 

EXCLUDING VACCINATIONS AFTER THE 

HOUSEHOLD INTERVIEW DATE AND 

EXCLUDING VACCINATIONS GIVEN PRIOR 

TO 10/5/2009.

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

P_NUMHEPA 

NUMBER OF HEPATITIS A-CONTAINING 

SHOTS DETERMINED FROM PROVIDER 

INFO, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

P_NUMHEPA_HA 

NUMBER OF HEPATITIS A-CONTAINING 

SHOTS OF UNKNOWN TYPE DETERMINED 

FROM PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

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 

P_NUMHEPB 

NUMBER OF HEPATITIS B-CONTAINING 

SHOTS DETERMINED FROM PROVIDER 

INFO, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

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 

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 

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 

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 
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 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 

P_NUMHEPB_HB 

NUMBER OF HEPATITIS B-CONTAINING 

SHOTS OF UNKNOWN TYPE DETERMINED 

FROM PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

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 

P_NUMHPV_4V 

NUMBER OF HPV-GARDASIL (4vHPV) 

SHOTS DETERMINED FROM PROVIDER 

INFO, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

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 

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 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 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 

Added in 2015 to account for 

reported HPV Gardasil shots with 

unknown valence.

P_NUMMCV 

NUMBER OF MEASLES-CONTAINING 

SHOTS DETERMINED FROM PROVIDER 

INFO, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

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

169

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

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 

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 

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 

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 

P_NUMMCV_MM 

NUMBER OF MEASLES-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 

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 

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 

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 

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 

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 
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 Notes

P_NUMMENB NUMBER OF MENINGOCOCCAL 

SEROGROUP B SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

P_NUMMENB_BT NUMBER OF MENINGOCOCCAL MENBFHPB SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y 

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 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

P_NUMMENU NUMBER OF MENINGOCOCCAL-UNKNOWN 

SEROGROUP SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y 

Meningococcal - unknown 

serogroup added to the IHQ 

shotgrid starting in 2016.

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 

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 

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 

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 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 
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 Notes

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 

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 

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 

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 

P_NUMVRC 

NUMBER OF VARICELLA-CONTAINING 

SHOTS DETERMINED FROM PROVIDER 

INFO, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

P_NUMVRC_POST1 

NUMBER OF VARICELLA-CONTAINING 

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 

P_NUMVRC_VA 

NUMBER OF VARICELLA-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 

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 

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 

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 Up-to-date variable added to the 

PUF in 2015.
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 Notes

P_U131321

UP-TO-DATE FLAG (PROV INFO): 1:3:2:1 

SERIES BEFORE AGE 13 YEARS, 

EXCLUDING ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

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 

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 

173

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 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 providerreported 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 providerreported flu vaccinations from 

previous 3 flu seasons.

P_U13FLU1617

UP-TO-DATE FLAG (PROV INFO): 1+ 

SEASONAL INFLUENZA VACCINATION 

BETWEEN SEPT 1, 2016 AND JAN 31, 2017, 

BEFORE AGE 13 YEARS, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y 

Added in 2016 to reflect providerreported flu vaccinations from 

previous 3 flu seasons.

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.

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.
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 Notes

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 

P_U13HEPB 

UP-TO-DATE FLAG (PROV INFO): 2+ HEPB 

1.0 ML RECOMBIVAX SHOTS BEFORE AGE 

13 YEARS, OR 3+ ANY COMBINATION OF 

HEPATITIS B-CONTAINING SHOTS BEFORE 

AGE 13 YEARS, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

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 

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 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 

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 

P_U13MMR

UP-TO-DATE FLAG (PROV INFO): 2+ MMRCONTAINING SHOTS BEFORE AGE 13 

YEARS, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 
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 Notes

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 

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 

P_U13TDAP 

UP-TO-DATE FLAG (PROV INFO): 1+ TDAPONLY 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 

P_U13TDAP7 

UP-TO-DATE FLAG (PROV INFO): 1+ TDAPONLY 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 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 

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 

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 

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 

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.
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 Notes

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.

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 providerreported 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 providerreported flu vaccinations from 

previous 3 flu seasons.
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 Notes

P_UTDFLU1617 

UP-TO-DATE FLAG (PROV INFO): 1+ 

SEASONAL INFLUENZA VACCINATION 

BETWEEN SEPT 1, 2016 AND JAN 31, 2017, 

EXCLUDING ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

Y Y 

Added in 2016 to reflect providerreported flu vaccinations from 

previous 3 flu seasons.

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.

P_UTDH1N_1 

UP-TO-DATE FLAG (PROV INFO): 1+ 

MONOVALENT 2009 H1N1 FLU 

VACCINATION, EXCLUDING 

VACCINATIONS AFTER THE HOUSEHOLD 

INTERVIEW DATE AND EXCLUDING 

VACCINATIONS GIVEN PRIOR TO 10/5/2009.

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

P_UTDH1N_2 

UP-TO-DATE FLAG (PROV INFO): 2+ 

MONOVALENT 2009 H1N1 FLU 

VACCINATIONS, EXCLUDING 

VACCINATIONS AFTER THE HOUSEHOLD 

INTERVIEW DATE AND EXCLUDING 

VACCINATIONS GIVEN PRIOR TO 10/5/2009.

Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

P_UTDHEPA 

UP-TO-DATE FLAG (PROV INFO): 2+ 

HEPATITIS A-CONTAINING SHOTS, 

EXCLUDING ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

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.

P_UTDHEPB 

UP-TO-DATE FLAG (PROV INFO): 2+ HEPB 

1.0 ML RECOMBIVAX SHOTS, OR 3+ ANY 

COMBINATION OF HEPATITIS BCONTAINING SHOTS, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

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 
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 Notes

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 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 Up-to-date variable added to the 

PUF in 2016.

P_UTDHPV_9V 

UP-TO-DATE FLAG (PROV INFO): 1+ 

HUMAN PAPILLOMAVIRUS SHOT OF TYPE 

GARDASIL 9 (9vHPV), EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y 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 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 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 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 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 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 Up-to-date variable added to the 

PUF in 2010.
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 Notes

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 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 Up-to-date variable added to the 

PUF in 2011.

P_UTDHPV3C_15IN

T 

UP-TO-DATE FLAG (PROV INFO): HPV 

CONDITIONAL COMPLETION RATE, 

INCLUDING COMPLETION VIA 3-SHOT OR 

2-SHOT SERIES, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y 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 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 

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 

P_UTDMENACWY 

UP-TO-DATE FLAG (PROV INFO): 1+ 

MENINGOCOCCAL SEROGROUP ACWYCONJUGATE SHOT OR MENINGOCOCCAL 

SEROGROUP ACWY-UNKNOWN TYPE 

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.

P_UTDMMR 

UP-TO-DATE FLAG (PROV INFO): 2+ MMRCONTAINING SHOTS, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

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 
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 Notes

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 

P_UTDTD_POST10 

UP-TO-DATE FLAG (PROV INFO): 1+ TDONLY SHOT SINCE AGE 10 YEARS, 

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.

P_UTDTDAP 

UP-TO-DATE FLAG (PROV INFO): 1+ TDAPONLY SHOT SINCE AGE 10 YEARS, 

EXCLUDING ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y Y Y 

P_UTDTDAP7 

UP-TO-DATE FLAG (PROV INFO): 1+ TDAPONLY SHOT SINCE AGE 7 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 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 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 

P_UTDVRC_NOHIS

T4

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.

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 

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.

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 

181

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

PDAT2 ADEQUATE PROVIDER DATA FLAG Y Y Y Y Added in 2014 due to change in 

adequate provider data definition. 

PPS_AGE1 

AGE IN YEARS OF PROV-REPORTED 

PNEUMOCOCCAL POLYSACCHARIDE SHOT 

#1

Y Y Y Y Y Y Y Y Y Y 

PPS_AGE2 

AGE IN YEARS OF PROV-REPORTED 

PNEUMOCOCCAL POLYSACCHARIDE SHOT 

#2

Y Y Y Y Y Y Y Y Y Y 

PPS_AGE3 

AGE IN YEARS OF PROV-REPORTED 

PNEUMOCOCCAL POLYSACCHARIDE SHOT 

#3

Y Y Y Y Y Y Y Y Y Y 

PPS_AGE4 

AGE IN YEARS OF PROV-REPORTED 

PNEUMOCOCCAL POLYSACCHARIDE SHOT 

#4

Y Y Y Y Y Y Y Y Y Y 

PPS_AGE5 

AGE IN YEARS OF PROV-REPORTED 

PNEUMOCOCCAL POLYSACCHARIDE SHOT 

#5

Y Y Y Y Y Y Y Y Y Y 

PPS_AGE6 

AGE IN YEARS OF PROV-REPORTED 

PNEUMOCOCCAL POLYSACCHARIDE SHOT 

#6

Y Y Y Y Y Y Y Y Y Y 

PPS_AGE7 

AGE IN YEARS OF PROV-REPORTED 

PNEUMOCOCCAL POLYSACCHARIDE SHOT 

#7

Y Y Y Y Y Y Y Y Y Y 

PPS_AGE8 

AGE IN YEARS OF PROV-REPORTED 

PNEUMOCOCCAL POLYSACCHARIDE SHOT 

#8

Y Y Y Y Y Y Y Y Y Y 

PPS_AGE9 

AGE IN YEARS OF PROV-REPORTED 

PNEUMOCOCCAL POLYSACCHARIDE SHOT 

#9

Y Y Y Y Y Y Y Y Y Y 

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.

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.

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.

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.
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 Notes

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.

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.

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.

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.

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.

PPS_MAGE1 

AGE IN MONTHS 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.

PPS_MAGE2 

AGE IN MONTHS 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.

PPS_MAGE3 

AGE IN MONTHS 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.

PPS_MAGE4 

AGE IN MONTHS 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.

PPS_MAGE5 

AGE IN MONTHS 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.

PPS_MAGE6 

AGE IN MONTHS 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.

PPS_MAGE7 

AGE IN MONTHS 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.

PPS_MAGE8 

AGE IN MONTHS 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.

PPS_MAGE9 

AGE IN MONTHS 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.
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 Notes

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_D FINAL DUAL-FRAME PROVIDER-PHASE 

WEIGHT (EXCLUDES TERRITORIES) Y Y Y Y Y Y Y Added in 2011 as dual-frame weight. 

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

RACEETHK RACE/ETHNICITY OF TEEN WITH 

MULTIRACE CATEGORY (RECODE) 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_D FINAL DUAL-FRAME RDD-PHASE WEIGHT 

(EXCLUDES TERRITORIES) Y Y Y Y Y Y Y Added in 2011 as dual-frame 

weight. 

RDDWT_LL

FINAL LANDLINE HOUSEHOLD-PHASE 

WEIGHT (EXCLUDING U.S. VIRGIN 

ISLANDS) 

Y 

Replaced RDDWT in 2011 to 

distinguish from new dual-frame 

weight RDDWT_D. Removed in 

2012.
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 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 HOUSEHOLD-PHASE 

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 

RENT_OWN

IS HOME OWNED/BEING BOUGHT, RENTED, 

OR OCCUPIED BY SOME OTHER 

ARRANGEMENT? 

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 

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 

RISK_NOW DOES TEEN STILL HAVE ANY OF THESE 

CONDITIONS? Y Y Y Y Y Y Y Y Y Y 

SEQNUMT UNIQUE TEEN IDENTIFIER Y Y Y Y Y Y Y Y Y Y 

SEX SEX OF TEEN Y Y Y Y Y Y Y Y Y Y 

SHOTCARD_ALL HH-REPORT: DOES SHOT RECORD 

INCLUDE ALL VACCINATIONS? Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

STATE TRUE STATE OF RESIDENCE (STATE FIPS 

CODE) Y Y Y Y Y Y Y Y Y Y 
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 Notes

STRATUM STRATUM VARIABLE FOR VARIANCE 

ESTIMATION Y Y Y Y Y Y 

Replaced STRATUM_D in 2012. 

Equal to sample frame by 

estimation area.

STRATUM_D STRATUM VARIABLE FOR DUAL-FRAME 

VARIANCE ESTIMATION Y 

Added in 2011. Equal to sample 

frame by estimation area. 

Replaced by STRATUM in 2012.

TDP_AGE1 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #1 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 

TDP_AGE3 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #3 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 

TDP_AGE5 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #5 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 

TDP_AGE7 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #7 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 

TDP_AGE9 AGE IN YEARS OF PROV-REPORTED 

TD/TDAP-CONTAINING SHOT #9 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 

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 

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 

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 

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 

Age-in-days and age-in-months 

variables were added to the PUF 

in 2011.

TDP_DAGE6 AGE IN DAYS OF PROV-REPORTED 

TD/TDAP-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.
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 Notes

TDP_DAGE7 AGE IN DAYS OF PROV-REPORTED 

TD/TDAP-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.

TDP_DAGE8 AGE IN DAYS OF PROV-REPORTED 

TD/TDAP-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.

TDP_DAGE9 AGE IN DAYS OF PROV-REPORTED 

TD/TDAP-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.

TDP_MAGE1 AGE IN MONTHS OF PROV-REPORTED 

TD/TDAP-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.

TDP_MAGE2 AGE IN MONTHS OF PROV-REPORTED 

TD/TDAP-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.

TDP_MAGE3 AGE IN MONTHS OF PROV-REPORTED 

TD/TDAP-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.

TDP_MAGE4 AGE IN MONTHS OF PROV-REPORTED 

TD/TDAP-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.

TDP_MAGE5 AGE IN MONTHS OF PROV-REPORTED 

TD/TDAP-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.

TDP_MAGE6 AGE IN MONTHS OF PROV-REPORTED 

TD/TDAP-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.

TDP_MAGE7 AGE IN MONTHS OF PROV-REPORTED 

TD/TDAP-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.

TDP_MAGE8 AGE IN MONTHS OF PROV-REPORTED 

TD/TDAP-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.

TDP_MAGE9 AGE IN MONTHS OF PROV-REPORTED 

TD/TDAP-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.

TEL_SAMPFRAME SAMPLE FRAME INDICATOR (LANDLINE 

OR CELL-PHONE) Y 

Added in 2011. Dropped in 2012 

due to use of only dual-frame 

weights. 

TET_AGE_SC1 AGE OF TEEN IN YEARS AT HH-REPORTED 

TETANUS BOOSTER SHOT #1 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_AGE_SC2 AGE OF TEEN IN YEARS AT HH-REPORTED 

TETANUS BOOSTER SHOT #2 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 
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 Notes

TET_AGE_SC3 AGE OF TEEN IN YEARS AT HH-REPORTED 

TETANUS BOOSTER SHOT #3 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_AGE_SC4 AGE OF TEEN IN YEARS AT HH-REPORTED 

TETANUS BOOSTER SHOT #4 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_AGE_SC5 AGE OF TEEN IN YEARS AT HH-REPORTED 

TETANUS BOOSTER SHOT #5 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_AGE_SC6 AGE OF TEEN IN YEARS AT HH-REPORTED 

TETANUS BOOSTER SHOT #6 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_AGE_SC7 AGE OF TEEN IN YEARS AT HH-REPORTED 

TETANUS BOOSTER SHOT #7 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_AGE_SC8 AGE OF TEEN IN YEARS AT HH-REPORTED 

TETANUS BOOSTER SHOT #8 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_ANY_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 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. 

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. 
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 Notes

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 MEDICALLY-RELATED PLACE

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

questionnaire. 

TET_PLACE_7

KIND OF PLACE TEEN RECEIVED TETANUS 

BOOSTER SHOT AFTER AGE 7 YEARS: 

PHARMACY OR DRUG STORE

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

questionnaire. 

TET_PLACE_8

KIND OF PLACE TEEN RECEIVED TETANUS 

BOOSTER SHOT AFTER AGE 7 YEARS: 

WORKPLACE 

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

questionnaire. 

TET_PLACE_9

KIND OF PLACE TEEN RECEIVED TETANUS 

BOOSTER SHOT AFTER AGE 7 YEARS: 

OTHER NON-MEDICALLY-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 

TET_REAS_10 MAIN REASON TEEN DID NOT RECEIVE 

TETANUS BOOSTER SHOTS: COSTS 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 

TET_REAS_12

MAIN REASON TEEN DID NOT RECEIVE 

TETANUS BOOSTER SHOTS: 

EFFECTIVENESS CONCERN

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 

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 

TET_REAS_15

MAIN REASON TEEN DID NOT RECEIVE 

TETANUS BOOSTER SHOTS: COLLEGE 

SHOT 

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 Notes

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 

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 

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 

TET_REAS_19

MAIN REASON TEEN DID NOT RECEIVE 

TETANUS BOOSTER SHOTS: 

RELIGION/ORTHODOX 

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 

TET_REAS_20 MAIN REASON TEEN DID NOT RECEIVE 

TETANUS BOOSTER SHOTS: TIME 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 

TET_REAS_22

MAIN REASON TEEN DID NOT RECEIVE 

TETANUS BOOSTER SHOTS: ALREADY UPTO-DATE Y Y Y Y Y Y Y Y Y Y 

TET_REAS_23

MAIN REASON TEEN DID NOT RECEIVE 

TETANUS BOOSTER SHOTS: NOT 

AVAILABLE 

Y Y Y Y Y Y Y Y Y Y 

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 

TET_REAS_25 MAIN REASON TEEN DID NOT RECEIVE 

TETANUS BOOSTER SHOTS: INTEND TO 

COMPLETE BUT HAVE NOT YET/ALREADY 

PLANNED 

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 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 
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 Notes

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 

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 

TET_REAS_7

MAIN REASON TEEN DID NOT RECEIVE 

TETANUS BOOSTER SHOTS: OTHER 

REASON 

Y Y Y Y Y Y Y Y Y Y 

TET_RECOM

HAD OR HAS DOCTOR OR OTHER HEALTH 

CARE PROFESSIONAL EVER 

RECOMMENDED THAT TEEN RECEIVE 

TETANUS BOOSTER SHOTS?

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

questionnaire. 

TET_TYPE1 TYPE OF HH-REPORTED TETANUS 

BOOSTER SHOT #1 Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_TYPE2 TYPE OF HH-REPORTED TETANUS 

BOOSTER SHOT #2 Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_TYPE3 TYPE OF HH-REPORTED TETANUS 

BOOSTER SHOT #3 Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_TYPE4 TYPE OF HH-REPORTED TETANUS 

BOOSTER SHOT #4 Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_TYPE5 TYPE OF HH-REPORTED TETANUS 

BOOSTER SHOT #5 Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_TYPE6 TYPE OF HH-REPORTED TETANUS 

BOOSTER SHOT #6 Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_TYPE7 TYPE OF HH-REPORTED TETANUS 

BOOSTER SHOT #7 Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TET_TYPE8 TYPE OF HH-REPORTED TETANUS 

BOOSTER SHOT #8 Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

TIS_INS_1

IS TEEN COVERED BY HEALTH 

INSURANCE PROVIDED THROUGH 

EMPLOYER OR UNION?

Y Y Y Y Y Y Y Y Replaced with INS_STAT_I and 

INS_BREAK_I in 2016.

TIS_INS_11

SINCE AGE 11, ANY TIME WHEN TEEN WAS 

NOT COVERED BY ANY HEALTH 

INSURANCE? 

Y Y Y Y Y Y Y Y Replaced with INS_STAT_I and 

INS_BREAK_I in 2016.

TIS_INS_2 IS TEEN COVERED BY ANY MEDICAID 

PLAN? Y Y Y Y Y Y Y Y Replaced with INS_STAT_I and INS_BREAK_I in 2016.

TIS_INS_3 IS TEEN COVERED BY CHIP? Y Y Y Y Y Y Y Y Replaced with INS_STAT_I and 

INS_BREAK_I in 2016.

TIS_INS_3A IS TEEN COVERED BY ANY MEDICAID 

PLAN OR CHIP? Y Y Y Y Y Y Y Y Replaced with INS_STAT_I and INS_BREAK_I in 2016.
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 Notes

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 CHAMPVA? Y Replaced by TIS_INS_4_5 

starting 2009.

TIS_INS_6

IS TEEN COVERED BY ANY OTHER 

HEALTH INSURANCE OR HEALTH CARE 

PLAN? 

Y Y Y Y Y Y Y Y Replaced with INS_STAT_I and 

INS_BREAK_I in 2016.

VFC_I DERIVED: IS TEEN VFC ELIGIBLE? Y Y Y 

Added in 2009 to aid analysis. 

Dropped starting in 2012 due to a 

change in the IHQ.

VFC_ORDER DO TEEN'S PROVIDERS ORDER VACCINES 

FROM STATE/LOCAL HEALTH DEPT? Y Y Y Y Y Y Y Y Y Y 

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 

VRC_AGE_SC1 AGE OF TEEN IN YEARS AT HH-REPORTED 

VARICELLA SHOT #1 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

VRC_AGE_SC2 AGE OF TEEN IN YEARS AT HH-REPORTED 

VARICELLA SHOT #2 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

VRC_AGE_SC3 AGE OF TEEN IN YEARS AT HH-REPORTED 

VARICELLA SHOT #3 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

VRC_AGE_SC4 AGE OF TEEN IN YEARS AT HH-REPORTED 

VARICELLA SHOT #4 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

VRC_AGE_SC5 AGE OF TEEN IN YEARS AT HH-REPORTED 

VARICELLA SHOT #5 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

VRC_AGE_SC6 AGE OF TEEN IN YEARS AT HH-REPORTED 

VARICELLA SHOT #6 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

VRC_AGE_SC7 AGE OF TEEN IN YEARS AT HH-REPORTED 

VARICELLA SHOT #7 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

VRC_AGE_SC8 AGE OF TEEN IN YEARS AT HH-REPORTED 

VARICELLA SHOT #8 (SHOTCARD) Y Y Y Y Y Y Dropped in 2014 due to shortened questionnaire. 

VRC_AGE1 AGE IN YEARS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #1 Y Y Y Y Y Y Y Y Y Y 

VRC_AGE2 AGE IN YEARS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #2 Y Y Y Y Y Y Y Y Y Y 

VRC_AGE3 AGE IN YEARS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #3 Y Y Y Y Y Y Y Y Y Y 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

192

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

VRC_AGE4 AGE IN YEARS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #4 Y Y Y Y Y Y Y Y Y Y 

VRC_AGE5 AGE IN YEARS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #5 Y Y Y Y Y Y Y Y Y Y 

VRC_AGE6 AGE IN YEARS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #6 Y Y Y Y Y Y Y Y Y Y 

VRC_AGE7 AGE IN YEARS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #7 Y Y Y Y Y Y Y Y Y Y 

VRC_AGE8 AGE IN YEARS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #8 Y Y Y Y Y Y Y Y Y Y 

VRC_AGE9 AGE IN YEARS OF PROV-REPORTED 

VARICELLA-CONTAINING SHOT #9 Y Y Y Y Y Y Y Y Y Y 

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.

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.

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.

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.

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.

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.

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.

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.
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 Notes

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.

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.

VRC_MAGE1 AGE IN MONTHS 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.

VRC_MAGE2 AGE IN MONTHS 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.

VRC_MAGE3 AGE IN MONTHS 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.

VRC_MAGE4 AGE IN MONTHS 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.

VRC_MAGE5 AGE IN MONTHS 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.

VRC_MAGE6 AGE IN MONTHS 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.

VRC_MAGE7 AGE IN MONTHS 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.

VRC_MAGE8 AGE IN MONTHS 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.

VRC_MAGE9 AGE IN MONTHS 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.

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. 

XFLUTY1 SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #1 TYPE CODE Y Y Y Y Y Y Y Y Y Y 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

194

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

XFLUTY2 SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #2 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XFLUTY3 SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #3 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XFLUTY4 SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #4 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XFLUTY5 SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #5 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XFLUTY6 SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #6 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XFLUTY7 SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #7 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XFLUTY8 SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #8 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XFLUTY9 SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #9 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XH1NTY1 MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #1 TYPE CODE Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

XH1NTY2 MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #2 TYPE CODE Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

XH1NTY3 MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #3 TYPE CODE Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

XH1NTY4 MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #4 TYPE CODE Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.

XH1NTY5 MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #5 TYPE CODE Y Y Y 

H1N1 influenza added to the IHQ 

shotgrid starting in late 2009, and 

introduced in the PUF in 2010. 

Removed from the IHQ and the 

PUF in 2013.
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 Notes

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 

XHEPATY2 HEPATITIS A-CONTAINING VACCINATION 

#2 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPATY3 HEPATITIS A-CONTAINING VACCINATION 

#3 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPATY4 HEPATITIS A-CONTAINING VACCINATION 

#4 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPATY5 HEPATITIS A-CONTAINING VACCINATION 

#5 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPATY6 HEPATITIS A-CONTAINING VACCINATION 

#6 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPATY7 HEPATITIS A-CONTAINING VACCINATION 

#7 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPATY8 HEPATITIS A-CONTAINING VACCINATION 

#8 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPATY9 HEPATITIS A-CONTAINING VACCINATION 

#9 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPBTY1 HEPATITIS B-CONTAINING VACCINATION 

#1 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPBTY2 HEPATITIS B-CONTAINING VACCINATION 

#2 TYPE CODE Y Y Y Y Y Y Y Y Y Y 
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 Notes

XHEPBTY3 HEPATITIS B-CONTAINING VACCINATION 

#3 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPBTY4 HEPATITIS B-CONTAINING VACCINATION 

#4 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPBTY5 HEPATITIS B-CONTAINING VACCINATION 

#5 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPBTY6 HEPATITIS B-CONTAINING VACCINATION 

#6 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPBTY7 HEPATITIS B-CONTAINING VACCINATION 

#7 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPBTY8 HEPATITIS B-CONTAINING VACCINATION 

#8 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHEPBTY9 HEPATITIS B-CONTAINING VACCINATION 

#9 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XHPVTY1 HUMAN PAPILLOMAVIRUS VACCINATION 

#1 TYPE CODE 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 HPV shot type variables added to the PUF in 2012.

XHPVTY3 HUMAN PAPILLOMAVIRUS VACCINATION 

#3 TYPE CODE 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 HPV shot type variables added to the PUF in 2012.

XHPVTY5 HUMAN PAPILLOMAVIRUS VACCINATION 

#5 TYPE CODE 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 HPV shot type variables added to the PUF in 2012.

XHPVTY7 HUMAN PAPILLOMAVIRUS VACCINATION 

#7 TYPE CODE 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 HPV shot type variables added to the PUF in 2012.

XHPVTY9 HUMAN PAPILLOMAVIRUS VACCINATION 

#9 TYPE CODE 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 

XMCVTY2 MEASLES-CONTAINING VACCINATION #2 

TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XMCVTY3 MEASLES-CONTAINING VACCINATION #3 

TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XMCVTY4 MEASLES-CONTAINING VACCINATION #4 

TYPE CODE Y Y Y Y Y Y Y Y Y Y 
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 Notes

XMCVTY5 MEASLES-CONTAINING VACCINATION #5 

TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XMCVTY6 MEASLES-CONTAINING VACCINATION #6 

TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XMCVTY7 MEASLES-CONTAINING VACCINATION #7 

TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XMCVTY8 MEASLES-CONTAINING VACCINATION #8 

TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XMCVTY9 MEASLES-CONTAINING VACCINATION #9 

TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XMENBTY1 MENINGOCOCCAL SEROGROUP B 

VACCINATION #1 TYPE CODE Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY2 MENINGOCOCCAL SEROGROUP B 

VACCINATION #2 TYPE CODE Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY3 MENINGOCOCCAL SEROGROUP B 

VACCINATION #3 TYPE CODE Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY4 MENINGOCOCCAL SEROGROUP B 

VACCINATION #4 TYPE CODE Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY5 MENINGOCOCCAL SEROGROUP B 

VACCINATION #5 TYPE CODE Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY6 MENINGOCOCCAL SEROGROUP B 

VACCINATION #6 TYPE CODE Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY7 MENINGOCOCCAL SEROGROUP B 

VACCINATION #7 TYPE CODE Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY8 MENINGOCOCCAL SEROGROUP B 

VACCINATION #8 TYPE CODE Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENBTY9 MENINGOCOCCAL SEROGROUP B 

VACCINATION #9 TYPE CODE Y Y 

Meningococcal Serogroup B 

added to the IHQ shotgrid starting 

in 2016.

XMENTY1 MENINGOCOCCAL SEROGROUP ACWY 

VACCINATION #1 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XMENTY2 MENINGOCOCCAL SEROGROUP ACWY 

VACCINATION #2 TYPE CODE Y Y Y Y Y Y Y Y Y Y 
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 Notes

XMENTY3 MENINGOCOCCAL SEROGROUP ACWY 

VACCINATION #3 TYPE CODE 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 

XMENTY5 MENINGOCOCCAL SEROGROUP ACWY 

VACCINATION #5 TYPE CODE 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 

XMENTY7 MENINGOCOCCAL SEROGROUP ACWY 

VACCINATION #7 TYPE CODE 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 

XMENTY9 MENINGOCOCCAL SEROGROUP ACWY 

VACCINATION #9 TYPE CODE 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 

XTDPTY2 TD/TDAP-CONTAINING VACCINATION #2 

TYPE CODE 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 

XTDPTY4 TD/TDAP-CONTAINING VACCINATION #4 

TYPE CODE 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 

XTDPTY6 TD/TDAP-CONTAINING VACCINATION #6 

TYPE CODE 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 

XTDPTY8 TD/TDAP-CONTAINING VACCINATION #8 

TYPE CODE 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 

XVRCTY1 VARICELLA-CONTAINING VACCINATION 

#1 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XVRCTY2 VARICELLA-CONTAINING VACCINATION 

#2 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XVRCTY3 VARICELLA-CONTAINING VACCINATION 

#3 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XVRCTY4 VARICELLA-CONTAINING VACCINATION 

#4 TYPE CODE 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 Notes

XVRCTY5 VARICELLA-CONTAINING VACCINATION 

#5 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XVRCTY6 VARICELLA-CONTAINING VACCINATION 

#6 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XVRCTY7 VARICELLA-CONTAINING VACCINATION 

#7 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XVRCTY8 VARICELLA-CONTAINING VACCINATION 

#8 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

XVRCTY9 VARICELLA-CONTAINING VACCINATION 

#9 TYPE CODE Y Y Y Y Y Y Y Y Y Y 

YEAR SAMPLING YEAR Y Y Y Y Y Y Y Y Y Y 
Summary Tables APPENDIX E 

200

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, 2017 

State/Estimation Area ESTIAPT17 

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* 20,833,181 43,591 20,949 48.1

Alabama 20 312,726 795 367 46.2

Alaska 74 48,247 673 349 51.9

Arizona 66 464,064 758 335 44.2

Arkansas 46 199,026 711 357 50.2

California 68 2,534,879 779 306 39.3

Colorado 60 357,018 703 354 50.4

Connecticut 1 231,174 704 330 46.9

Delaware 13 57,644 692 350 50.6

District of Columbia 12 25,399 745 318 42.7

Florida 22 1,180,162 968 415 42.9

Georgia 25 720,279 766 343 44.8

Hawaii 72 79,470 654 314 48.0

Idaho 75 124,442 674 353 52.4

Illinois 840,260 1,437 683 47.5

 IL-City of Chicago 35 148,250 400 204 51.0

 IL-Rest of State 34 692,010 1,037 479 46.2

Indiana 36 450,659 691 334 48.3

Iowa 56 203,089 615 343 55.8

Kansas 57 198,707 652 338 51.8

Kentucky 27 284,359 726 372 51.2

Louisiana 47 305,761 730 341 46.7

Maine 4 75,010 658 347 52.7

Maryland 14 380,264 1,081 470 43.5

Massachusetts 2 406,334 803 412 51.3

Michigan 38 644,686 681 328 48.2

Minnesota 40 360,589 722 356 49.3

Mississippi 28 204,421 726 347 47.8

Missouri 58 391,861 716 335 46.8

Montana 61 62,166 605 326 53.9

Nebraska 59 130,068 630 324 51.4

Nevada 73 191,304 791 344 43.5

New Hampshire 5 79,287 682 333 48.8

New Jersey 8 574,278 872 366 42.0

New Mexico 49 137,300 688 362 52.6

New York 1,170,574 1,529 651 42.6

 NY-City of New York 11 457,567 718 281 39.1

 NY-Rest of State 10 713,007 811 370 45.6

North Carolina 29 661,313 726 336 46.3

North Dakota 62 43,703 668 379 56.7

Ohio 41 755,375 790 408 51.6

Oklahoma 50 264,827 699 338 48.4
Summary Tables APPENDIX E 

201

State/Estimation Area ESTIAPT17 

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 76 242,645 709 359 50.6

Pennsylvania 774,307 1,668 851 51.0

 PA-Philadelphia County 17 90,980 684 362 52.9

 PA-Rest of State 16 683,328 984 489 49.7

Rhode Island 6 60,605 579 319 55.1

South Carolina 30 310,089 747 328 43.9

South Dakota 63 56,124 593 333 56.2

Tennessee 31 425,789 690 338 49.0

Texas 2,034,276 5,003 2,256 45.1

 TX-Bexar County 55 141,260 745 336 45.1

 TX-City of Houston 54 134,171 485 187 38.6

 TX-Dallas County 52 181,807 632 263 41.6

 TX-El Paso County 53 69,620 580 320 55.2

 TX-Travis County 108 66,524 637 304 47.7

 TX-Rest of State 51 1,440,894 1,924 846 44.0

Utah 64 251,933 703 356 50.6

Vermont 7 35,315 610 366 60.0

Virginia 18 526,872 961 413 43.0

Washington 77 448,849 694 339 48.8

West Virginia 19 106,872 723 343 47.4

Wisconsin 44 372,010 635 324 51.0

Wyoming 65 36,772 736 360 48.9

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

202

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

National Immunization Survey - Teen, 2017

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 1,011 561,110 538 540,180

13 12 Years 1,321 920,751 649 958,354

13 >12, Non College Graduate 2,170 952,482 1,080 988,473

13 College Grad 4,041 1,697,085 2,016 1,689,567

14 <12 Years 1,073 540,653 571 512,169

14 12 Years 1,375 913,536 648 905,062

14 >12, Non College Graduate 2,200 963,640 1,037 985,273

14 College Grad 4,312 1,732,001 2,173 1,702,180

15 <12 Years 1,036 581,197 516 618,797

15 12 Years 1,379 895,723 633 940,289

15 >12, Non College Graduate 2,182 1,009,035 1,027 969,651

15 College Grad 4,055 1,665,437 2,036 1,841,680

16 <12 Years 1,017 543,171 481 521,868

16 12 Years 1,458 1,038,492 651 1,024,393

16 >12, Non College Graduate 2,372 1,069,268 1,072 1,068,582

16 College Grad 4,194 1,722,301 2,014 1,722,572

17 <12 Years 941 528,751 453 549,966

17 12 Years 1,301 830,449 558 782,764

17 >12, Non College Graduate 2,178 987,940 957 951,626

17 College Grad 3,975 1,680,159 1,839 1,559,736

Total 43,591 20,833,181 20,949 20,833,181

* Excludes U.S. territories. 

† Weighted by dual-frame weight RDDWT_D. 

§ Weighted by dual-frame weight PROVWT_D. 
Summary Tables APPENDIX E 

203

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

National Immunization Survey - Teen, 2017

Age of 

Teen in 

Years Poverty Status

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Unweighted 

Completes

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Weighted 

Completes†

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Unweighted 

Completes

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Weighted 

Completes§

13 Above poverty, > $75K 4,001 1,643,101 2,077 1,683,218

13 Above poverty, <= $75K 2,596 1,290,405 1,279 1,313,679

13 Below poverty 1,389 885,533 776 938,180

13 Unknown 557 312,389 151 241,497

14 Above poverty, > $75K 4,239 1,678,491 2,185 1,712,653

14 Above poverty, <= $75K 2,656 1,267,030 1,297 1,295,811

14 Below poverty 1,473 906,566 773 864,829

14 Unknown 592 297,742 174 231,391

15 Above poverty, > $75K 4,043 1,656,871 2,067 1,771,769

15 Above poverty, <= $75K 2,646 1,334,599 1,239 1,391,493

15 Below poverty 1,382 837,054 753 853,572

15 Unknown 581 322,869 153 353,581

16 Above poverty, > $75K 4,229 1,729,398 2,077 1,758,373

16 Above poverty, <= $75K 2,840 1,435,493 1,287 1,443,933

16 Below poverty 1,363 883,900 687 852,181

16 Unknown 609 324,442 167 282,928

17 Above poverty, > $75K 3,992 1,645,847 1,894 1,628,801

17 Above poverty, <= $75K 2,648 1,331,201 1,189 1,223,645

17 Below poverty 1,177 754,493 590 766,679

17 Unknown 578 295,758 134 224,967

Total 43,591 20,833,181 20,949 20,833,181

* Excludes U.S. territories. 

† Weighted by dual-frame weight RDDWT_D. 

§ Weighted by dual-frame weight PROVWT_D. 
Summary Tables APPENDIX E 

204

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

National Immunization Survey - Teen, 2017

Race/Ethnicity 

of Teen† Poverty Status

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS* 

Unweighted 

Completes

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Weighted 

Completes§

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Unweighted 

Completes

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Weighted 

Completes¶

Hispanic Above poverty, > $75K 2,004 980,709 893 955,590

Hispanic Above poverty, <= $75K 2,614 1,529,544 1,234 1,627,270

Hispanic Below poverty 2,855 1,886,521 1,480 1,767,569

Hispanic Unknown 755 529,834 275 576,968

Non-Hispanic 

White Only Above poverty, > $75K 15,131 5,854,200 7,859 6,018,475

Non-Hispanic 

White Only Above poverty, <= $75K 7,763 3,391,013 3,700 3,290,306

Non-Hispanic 

White Only Below poverty 2,057 1,092,593 1,113 1,122,123

Non-Hispanic 

White Only Unknown 1,498 626,088 339 467,030

Non-Hispanic 

Black Only Above poverty, > $75K 1,155 679,993 457 654,454

Non-Hispanic 

Black Only Above poverty, <= $75K 1,517 1,071,579 643 1,070,837

Non-Hispanic 

Black Only Below poverty 1,075 888,734 561 982,645

Non-Hispanic 

Black Only Unknown 318 219,609 81 171,095

Non-Hispanic 

Other & 

Multiple Race

Above poverty, > $75K 2,214 838,806 1,091 926,296

Non-Hispanic 

Other & 

Multiple Race

Above poverty, <= $75K 1,492 666,592 714 680,149

Non-Hispanic 

Other & 

Multiple Race

Below poverty 797 399,697 425 403,105

Non-Hispanic 

Other & 

Multiple Race

Unknown 346 177,668 84 119,270

Total 43,591 20,833,181 20,949 20,833,181

* Excludes U.S. territories. 

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

§ Weighted by dual-frame weight RDDWT_D. 

¶ Weighted by dual-frame weight PROVWT_D. 
Summary Tables APPENDIX E 

205

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

National Immunization Survey - Teen, 2017

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 1,622 1,007,609 795 1,006,067

13 Non-Hispanic White Only 5,089 2,101,964 2,608 2,118,429

13 Non-Hispanic Black Only 825 596,650 368 592,905

13

Non-Hispanic Other & 

Multiple Races 1,007 425,204 512 459,173

14 Hispanic 1,760 993,915 885 1,033,308

14 Non-Hispanic White Only 5,404 2,213,661 2,717 2,171,563

14 Non-Hispanic Black Only 794 522,359 345 496,926

14

Non-Hispanic Other & 

Multiple Races 1,002 419,894 482 402,888

15 Hispanic 1,681 1,037,669 775 1,077,325

15 Non-Hispanic White Only 5,201 2,120,308 2,626 2,268,221

15 Non-Hispanic Black Only 816 581,310 357 594,052

15

Non-Hispanic Other & 

Multiple Races 954 412,105 454 430,818

16 Hispanic 1,693 1,016,873 778 944,523

16 Non-Hispanic White Only 5,538 2,319,456 2,636 2,295,398

16 Non-Hispanic Black Only 824 596,256 347 678,778

16

Non-Hispanic Other & 

Multiple Races 986 440,647 457 418,717

17 Hispanic 1,472 870,542 649 866,175

17 Non-Hispanic White Only 5,217 2,208,504 2,424 2,044,322

17 Non-Hispanic Black Only 806 563,339 325 516,370

17

Non-Hispanic Other & 

Multiple Races 900 384,914 409 417,225

Total 43,591 20,833,181 20,949 20,833,181

* Excludes U.S. territories. 

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

§ Weighted by dual-frame weight RDDWT_D. 

¶ Weighted by dual-frame weight PROVWT_D. 
Summary Tables APPENDIX E 

206

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

Immunization Survey - Teen, 2017

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 4,465 2,097,817 2,267 2,128,257

13 Female 4,078 2,033,611 2,016 2,048,316

14 Male 4,691 2,057,529 2,369 2,085,390

14 Female 4,269 2,092,301 2,060 2,019,294

15 Male 4,540 2,120,141 2,212 2,211,960

15 Female 4,112 2,031,251 2,000 2,158,456

16 Male 4,781 2,271,210 2,248 2,253,390

16 Female 4,260 2,102,023 1,970 2,084,025

17 Male 4,435 2,084,502 2,008 1,952,202

17 Female 3,960 1,942,797 1,799 1,891,890

Total 43,591 20,833,181 20,949 20,833,181

* Excludes U.S. territories. 

† Weighted by dual-frame weight RDDWT_D. 

§ Weighted by dual-frame weight PROVWT_D. 
Summary Tables APPENDIX E 

207

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, 2017

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††† 90.7(±0.8) 88.7(±0.9) 85.1(±0.9) 68.6(±1.7) 53.1(±1.9) 62.6(±1.6) 44.3(±1.7) 65.5(±1.2) 48.6(±1.3)

Alabama 89.7(±3.7) 88.7(±3.8) 78.3(±4.9) 61.1(±8.3) 47.2(±8.5) 55.1(±8.6) 33.7(±8.5) 58.0(±6.0) 40.3(±6.0)

Alaska 80.5(±5.1) 78.9(±5.2) 68.4(±5.6) 61.1(±8.6) 45.7(±8.6) 67.6(±7.8) 39.8(±8.6) 64.5(±5.8) 42.6(±6.1)

Arizona 84.1(±4.9) 82.4(±5.1) 83.8(±4.9) 68.9(±9.1) 57.9(±9.7) 61.4(±9.0) 48.4(±9.2) 65.0(±6.4) 53.0(±6.7)

Arkansas 93.0(±3.0) 92.4(±3.1) 91.7(±3.6) 66.7(±8.7) 46.6(±9.5) 55.7(±8.5) 24.3(±6.7) 61.1(±6.2) 35.2(±6.0)

California 85.5(±5.2) 83.5(±5.5) 82.2(±5.6) 75.6(±8.8) 60.9(±10.6) 68.2(±8.4) 46.3(±9.4) 71.9(±6.1) 53.4(±7.1)

Colorado 90.2(±3.9) 88.6(±4.2) 82.4(±4.7) 74.4(±7.8) 53.1(±9.1) 69.8(±7.9) 54.4(±8.7) 72.1(±5.6) 53.8(±6.3)

Connecticut 95.2(±2.4) 94.9(±2.4) 94.9(±2.7) 75.4(±8.3) 63.5(±9.1) 67.3(±8.5) 52.7(±9.0) 71.3(±6.0) 58.0(±6.5)

Delaware 90.8(±4.1) 89.6(±4.3) 90.5(±4.0) 76.2(±8.2) 59.6(±9.3) 74.5(±7.7) 56.7(±9.0) 75.3(±5.6) 58.1(±6.5)

Dist. of Columbia 90.2(±4.4) 86.1(±5.1) 91.3(±4.4) 91.8(±5.5) 79.4(±8.7) 92.1(±4.4) 76.6(±9.1) 91.9(±3.5) 78.0(±6.3)

Florida 92.2(±3.3) 91.1(±3.4) 80.2(±5.4) 62.4(±9.2) 45.3(±9.4) 57.2(±9.3) 39.4(±9.1) 59.8(±6.5) 42.3(±6.6)

Georgia 96.1(±2.4) 93.3(±3.2) 95.3(±2.6) 64.5(±9.3) 45.0(±9.5) 64.2(±9.3) 46.4(±9.7) 64.3(±6.6) 45.7(±6.7)

Hawaii 85.9(±4.7) 84.8(±4.9) 85.9(±4.6) 78.7(±7.6) 62.7(±9.1) 60.6(±8.9) 47.2(±8.8) 69.4(±6.0) 54.7(±6.4)

Idaho 90.1(±4.0) 87.3(±4.5) 90.5(±4.1) 68.4(±9.2) 52.1(±9.8) 56.7(±9.0) 36.5(±8.6) 62.4(±6.5) 44.1(±6.6)

Illinois 94.6(±2.2) 92.4(±2.6) 89.2(±2.9) 62.3(±6.8) 48.9(±6.8) 69.6(±5.7) 51.8(±6.3) 66.1(±4.4) 50.4(±4.6)

IL-City of Chicago 93.7(±4.0) 90.5(±4.5) 90.9(±5.7) 84.9(±8.5) 73.0(±10.5) 78.8(±10.8) 60.2(±12.6) 81.9(±6.9) 66.6(±8.4)

IL-Rest of State 94.9(±2.5) 92.8(±3.0) 88.9(±3.4) 57.4(±7.9) 43.6(±7.7) 67.7(±6.5) 50.1(±7.2) 62.7(±5.2) 46.9(±5.3)

Indiana 95.7(±2.2) 95.1(±2.3) 93.1(±3.3) 68.0(±9.0) 48.4(±10.0) 51.0(±8.7) 33.5(±8.5) 59.3(±6.4) 40.8(±6.6)

Iowa 94.2(±2.8) 93.4(±2.9) 83.6(±4.6) 80.0(±7.1) 65.5(±8.6) 63.2(±7.9) 42.6(±8.2) 71.4(±5.5) 53.7(±6.1)

Kansas 91.4(±3.5) 89.7(±4.0) 72.1(±5.9) 55.2(±9.8) 38.5(±9.3) 49.8(±8.5) 30.4(±7.9) 52.4(±6.5) 34.4(±6.1)

Kentucky 88.5(±3.9) 86.4(±4.1) 83.3(±4.5) 54.9(±8.8) 44.7(±8.7) 44.4(±8.3) 31.1(±7.7) 49.6(±6.1) 37.7(±5.8)

Louisiana 93.2(±3.1) 90.1(±3.9) 89.0(±4.1) 73.8(±7.8) 64.3(±8.5) 64.6(±7.9) 41.9(±8.7) 69.1(±5.6) 52.9(±6.3)

Maine 86.0(±4.7) 85.1(±4.7) 83.9(±4.6) 79.6(±6.9) 61.5(±8.5) 72.2(±7.7) 57.0(±8.2) 75.8(±5.2) 59.2(±5.9)

Maryland 89.2(±4.8) 88.3(±5.1) 91.8(±4.2) 73.2(±9.3) 57.5(±10.5) 65.4(±9.8) 48.4(±10.5) 69.2(±6.8) 52.9(±7.4)

Massachusetts 98.3(±1.3) 96.2(±2.1) 94.0(±2.7) 85.4(±5.9) 67.4(±8.3) 78.5(±6.7) 63.7(±7.5) 81.9(±4.5) 65.5(±5.6)

Michigan 94.6(±3.1) 93.4(±3.3) 93.5(±3.2) 71.0(±7.9) 60.4(±8.7) 63.8(±8.9) 48.5(±9.2) 67.3(±6.0) 54.3(±6.4)

Minnesota 91.1(±3.9) 87.5(±4.6) 87.5(±4.4) 66.0(±8.8) 48.6(±9.0) 70.1(±8.0) 45.4(±8.9) 68.1(±5.9) 46.9(±6.3)
Summary Tables APPENDIX E 

208

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 94.9(±2.3) 92.4(±3.2) 63.0(±5.9) 56.0(±9.0) 34.4(±8.6) 43.6(±8.6) 23.4(±7.4) 49.6(±6.3) 28.8(±5.7)

Missouri 80.1(±5.4) 80.1(±5.4) 74.3(±5.6) 62.7(±8.6) 45.2(±8.8) 53.1(±9.2) 34.2(±8.6) 57.8(±6.4) 39.6(±6.2)

Montana 91.0(±3.8) 90.4(±3.9) 71.2(±6.0) 64.5(±9.4) 50.1(±9.6) 66.4(±8.4) 48.1(±9.2) 65.5(±6.3) 49.1(±6.7)

Nebraska 95.3(±3.0) 92.3(±3.8) 84.8(±4.8) 72.0(±8.7) 61.4(±9.4) 70.0(±7.9) 55.3(±8.5) 71.0(±5.9) 58.3(±6.3)

Nevada 84.8(±5.0) 82.5(±5.3) 77.3(±5.7) 70.6(±8.5) 52.9(±9.3) 59.3(±9.1) 45.3(±9.1) 64.9(±6.3) 49.0(±6.5)

New Hampshire 95.6(±2.6) 95.1(±2.7) 87.9(±4.3) 75.2(±7.2) 63.0(±8.2) 73.3(±7.9) 56.9(±9.0) 74.2(±5.4) 59.9(±6.1)

New Jersey 93.1(±3.4) 90.0(±4.0) 93.3(±3.2) 71.6(±8.0) 53.8(±8.9) 60.3(±8.2) 45.5(±8.6) 65.8(±5.8) 49.6(±6.2)

New Mexico 86.9(±4.5) 85.5(±4.6) 78.0(±5.2) 73.6(±7.8) 55.0(±9.1) 60.3(±8.1) 41.9(±8.1) 66.9(±5.8) 48.3(±6.2)

New York 94.9(±1.9) 92.9(±2.2) 89.3(±3.0) 71.2(±6.4) 58.2(±6.8) 66.0(±6.0) 49.1(±6.4) 68.5(±4.4) 53.6(±4.7)

NY-City of New York 95.9(±2.1) 92.9(±3.2) 88.8(±4.4) 82.4(±7.3) 69.9(±9.2) 64.5(±9.1) 52.4(±9.6) 73.3(±6.0) 61.0(±6.8)

NY-Rest of State 94.3(±2.8) 92.8(±3.1) 89.5(±3.9) 64.0(±9.0) 50.7(±9.1) 66.9(±7.9) 47.0(±8.4) 65.5(±6.0) 48.8(±6.2)

North Carolina 93.7(±2.9) 91.9(±3.4) 84.8(±4.8) 66.8(±9.2) 50.0(±9.9) 66.8(±8.2) 53.7(±8.8) 66.8(±6.1) 51.9(±6.6)

North Dakota 92.4(±2.9) 90.6(±3.3) 91.9(±3.0) 74.7(±7.2) 62.6(±8.2) 70.4(±7.5) 53.2(±8.2) 72.5(±5.2) 57.8(±5.8)

Ohio 93.1(±2.7) 90.6(±3.2) 87.3(±3.4) 69.5(±7.4) 54.9(±8.1) 58.8(±7.9) 39.3(±8.1) 64.1(±5.5) 47.0(±5.8)

Oklahoma 87.5(±4.3) 86.7(±4.3) 71.1(±5.9) 56.0(±9.2) 45.6(±9.3) 60.9(±8.6) 37.5(±8.5) 58.5(±6.3) 41.4(±6.3)

Oregon 88.4(±3.9) 86.3(±4.2) 77.0(±5.1) 70.1(±7.7) 55.1(±8.5) 72.3(±7.8) 54.4(±8.8) 71.2(±5.5) 54.8(±6.1)

Pennsylvania 91.1(±3.4) 90.6(±3.4) 93.4(±2.6) 69.2(±7.4) 56.1(±7.8) 65.6(±6.8) 49.1(±6.9) 67.3(±5.0) 52.5(±5.2)

PA-Philadelphia 93.9(±2.9) 91.6(±3.5) 91.1(±3.6) 84.6(±6.3) 69.2(±8.3) 85.2(±6.0) 69.8(±8.0) 84.9(±4.3) 69.5(±5.8)

PA-Rest of State 90.7(±3.8) 90.5(±3.8) 93.7(±2.9) 67.1(±8.3) 54.4(±8.8) 63.0(±7.6) 46.4(±7.7) 65.0(±5.6) 50.3(±5.8)

Rhode Island 95.0(±2.8) 94.6(±2.8) 94.1(±3.1) 88.5(±6.3) 76.8(±8.3) 88.7(±6.4) 78.4(±7.5) 88.6(±4.5) 77.7(±5.6)

South Carolina 90.3(±4.0) 89.4(±4.1) 78.6(±5.7) 59.8(±9.6) 47.4(±9.6) 59.3(±9.2) 38.0(±9.4) 59.6(±6.7) 42.7(±6.8)

South Dakota 80.3(±5.4) 79.5(±5.4) 74.5(±5.8) 67.9(±8.9) 48.8(±9.5) 58.8(±8.8) 40.9(±8.6) 63.2(±6.3) 44.8(±6.4)

Tennessee 91.0(±3.8) 89.4(±4.0) 75.0(±6.0) 62.8(±9.0) 47.7(±9.6) 49.6(±9.6) 31.1(±8.9) 56.1(±6.7) 39.2(±6.7)

Texas 86.3(±2.4) 83.2(±2.6) 85.1(±2.5) 60.4(±5.0) 43.5(±4.9) 55.2(±4.7) 36.0(±4.4) 57.8(±3.4) 39.7(±3.3)

TX-Bexar County 86.9(±4.9) 83.7(±5.2) 86.0(±4.9) 68.8(±8.5) 55.6(±8.9) 57.1(±8.7) 37.2(±8.4) 62.9(±6.1) 46.4(±6.2)

TX-City of Houston 89.9(±5.8) 87.9(±6.2) 91.4(±4.9) 73.6(±12.2) 50.6(±13.9) 72.4(±11.2) 59.7(±12.1) 73.0(±8.3) 55.2(±9.3)

TX-El Paso County 91.5(±3.8) 89.6(±4.1) 89.5(±4.2) 84.8(±7.0) 65.4(±9.5) 80.9(±7.1) 54.6(±9.8) 82.8(±5.0) 60.0(±6.9)

TX-Dallas County 83.3(±5.7) 77.0(±6.6) 85.1(±5.4) 64.3(±10.3) 41.7(±10.7) 45.2(±10.5) 29.9(±9.4) 54.5(±7.6) 35.7(±7.2)

TX-Travis County 88.7(±4.0) 85.9(±4.4) 89.1(±4.0) 76.8(±8.2) 57.0(±9.5) 62.6(±8.8) 46.9(±9.0) 69.7(±6.1) 52.0(±6.6)

TX-Rest of State 85.9(±3.2) 83.1(±3.5) 84.1(±3.4) 55.9(±6.7) 40.2(±6.5) 53.2(±6.3) 33.1(±5.8) 54.5(±4.6) 36.6(±4.4)
Summary Tables APPENDIX E 

209

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)

Utah 91.6(±3.3) 91.6(±3.3) 85.1(±4.3) 63.1(±8.9) 42.1(±9.0) 54.7(±8.4) 32.9(±8.2) 58.8(±6.1) 37.4(±6.1)

Vermont 93.1(±2.9) 92.8(±3.0) 84.2(±4.7) 83.8(±6.4) 68.5(±8.5) 73.9(±7.6) 60.8(±8.3) 78.7(±5.0) 64.5(±5.9)

Virginia 93.3(±3.9) 89.3(±5.0) 80.0(±6.5) 82.5(±8.3) 68.0(±10.7) 69.0(±9.9) 50.4(±11.1) 75.6(±6.6) 59.0(±7.8)

Washington 91.6(±3.4) 88.6(±4.1) 82.6(±4.9) 72.6(±8.1) 56.8(±8.8) 71.2(±8.2) 53.7(±9.1) 71.9(±5.7) 55.2(±6.3)

West Virginia 89.4(±3.8) 87.5(±4.1) 87.9(±4.2) 67.5(±8.7) 48.6(±9.4) 54.7(±8.6) 39.3(±8.4) 60.9(±6.2) 43.9(±6.3)

Wisconsin 92.0(±3.4) 90.3(±3.8) 83.8(±4.9) 73.5(±8.4) 56.0(±9.5) 65.1(±8.4) 48.8(±8.8) 69.2(±5.9) 52.3(±6.5)

Wyoming 88.7(±4.2) 86.4(±4.5) 60.7(±6.0) 50.0(±8.9) 33.6(±8.3) 44.1(±8.6) 28.4(±7.8) 46.9(±6.2) 30.9(±5.7)

* 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 2017 NIS-Teen were born between January 1999 and January 2005. 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 

210

Appendix F: Vaccine Type Codes 

Table F.1: Vaccine Type Codes, National Immunization Survey - Teen, 2017 

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 

211

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, 2006-2017 APPENDIX G 

 212

Appendix G: Trends in the NIS-Teen Response Rates and 

Vaccination Coverage Rates, 2006-2017 

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, 2006-2017 APPENDIX G 

213

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.
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2017 APPENDIX G 

214

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

Survey Year, National Immunization Survey - Teen, 2011-2017†

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

* 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, 2011-2017* 

* Excludes U.S. territories.
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2017 APPENDIX G 

215

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.

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.
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2017 APPENDIX G 

 216

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 

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, 2006-2017 APPENDIX G 

 217

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

Immunization Survey - Teen, 2006-2017* 

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

* 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 onward, estimates are dual-frame (landline plus 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, 2006-2017 APPENDIX G 

218

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, 2006-2017* 

* 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 onward, estimates are dual-frame (landline plus

cell-phone) estimates.

¶ Revised definition of adequate provider data (APD) implemented. 
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2017 APPENDIX G 

 219

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 2017. Note 

that these data apply to the landline sample only from 2006-2010, and to the dual-frame sample from 

2011 forward.
Key NIS-Teen Response Rates by Area APPENDIX H 

 220

Appendix H: Key NIS-Teen Response Rates by Area 

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

Survey - Teen, 2017

State/Estimation Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Teens with 

Adequate Provider 

Data (%)

U.S. National† 81.1 78.9 80.5 51.5 53.6

Alabama 83.2 80.1 81.3 54.2 53.8

Alaska 87.3 82.8 83.6 60.3 55.6

Arizona 83.6 79.6 79.9 53.1 54.0

Arkansas 84.7 85.4 72.2 52.2 57.9

California 80.8 76.3 75.1 46.3 44.6

Colorado 83.7 75.4 88.4 55.7 61.2

Connecticut 76.6 75.3 77.4 44.7 52.1

Delaware 70.3 73.3 78.6 40.5 54.3

District of Columbia 82.4 75.9 80.8 50.6 40.9

Florida 82.6 79.0 81.3 53.0 51.0

Georgia 82.7 78.2 89.9 58.1 52.4

Hawaii 82.8 75.3 76.9 47.9 47.6

Idaho 86.0 82.6 85.5 60.7 63.8

Illinois 84.6 81.0 83.1 56.9 46.7

 IL-City of Chicago 85.7 79.5 87.7 59.8 43.8

 IL-Rest of State 83.3 82.2 80.3 55.0 48.5

Indiana 84.3 81.3 78.3 53.7 61.9

Iowa 85.9 84.7 79.0 57.5 53.0

Kansas 83.6 84.9 83.9 59.5 60.8

Kentucky 82.0 81.6 75.5 50.5 62.2

Louisiana 84.3 81.5 70.8 48.6 49.6

Maine 79.5 82.4 82.7 54.2 57.6

Maryland 77.6 75.6 84.1 49.4 51.9

Massachusetts 74.5 76.0 82.1 46.4 58.8

Michigan 84.4 80.2 75.7 51.3 50.0

Minnesota 84.3 85.2 86.7 62.3 58.2

Mississippi 85.4 82.7 75.7 53.4 49.1

Missouri 82.9 82.2 85.3 58.2 49.2

Montana 83.9 82.0 87.1 59.9 56.2

Nebraska 82.8 82.0 86.5 58.7 53.7

Nevada 79.4 78.8 76.6 48.0 43.8
Key NIS-Teen Response Rates by Area APPENDIX H 

 221

State/Estimation Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Teens with 

Adequate Provider 

Data (%)

New Hampshire 77.9 78.8 86.8 53.3 54.8

New Jersey 76.3 70.5 75.8 40.8 50.5

New Mexico 85.9 83.3 85.6 61.3 64.0

New York 76.5 77.0 75.4 44.4 47.7

 NY-City of New York 76.4 74.7 69.3 39.6 47.7

 NY-Rest of State 76.7 79.8 80.8 49.4 47.6

North Carolina 79.1 79.5 79.0 49.7 49.4

North Dakota 86.3 84.2 85.4 62.0 60.9

Ohio 82.7 79.7 71.8 47.3 57.0

Oklahoma 83.8 79.8 71.1 47.5 51.6

Oregon 85.5 83.4 83.5 59.5 52.7

Pennsylvania 73.7 77.3 79.6 45.3 51.7

 PA-Philadelphia County 73.5 78.0 77.3 44.3 47.1

 PA-Rest of State 73.9 76.6 81.4 46.1 55.0

Rhode Island 74.6 74.1 86.4 47.8 62.6

South Carolina 81.7 80.4 83.8 55.0 60.2

South Dakota 87.5 80.8 83.5 59.1 69.7

Tennessee 83.7 82.8 84.5 58.5 58.0

Texas 84.1 78.4 81.9 54.0 52.3

 TX-Bexar County 80.3 78.1 82.4 51.7 43.6

 TX-City of Houston 86.0 78.0 81.8 54.9 39.1

 TX-Dallas County 85.0 77.6 79.2 52.3 54.8

 TX-El Paso County 84.0 78.6 82.9 54.7 69.2

 TX-Travis County 82.0 79.1 91.0 59.0 60.9

 TX-Rest of State 82.7 79.8 76.1 50.2 53.2

Utah 85.3 80.8 85.8 59.2 57.4

Vermont 80.1 81.6 87.6 57.2 69.7

Virginia 77.9 78.1 75.2 45.7 49.0

Washington 82.8 79.5 82.0 53.9 60.2

West Virginia 76.7 82.0 79.7 50.1 50.5

Wisconsin 81.4 82.4 81.9 54.9 59.3

Wyoming 84.0 81.0 88.4 60.1 56.6

* For the definition of the key indicators see Table 1.

† Excludes U.S. territories.
Key NIS-Teen Response Rates by Area APPENDIX H 

 222

Table H.2: Key Indicators* for the Cell-Phone Sample by Estimation Area, National 

Immunization Survey - Teen, 2017

Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Children with 

Adequate Provider 

Data (%)

U.S. National† 43.1 77.1 70.9 23.5 47.1

Alabama 48.6 77.4 69.2 26.1 45.5

Alaska 64.1 80.8 77.6 40.1 51.0

Arizona 38.9 78.5 71.1 21.7 42.3

Arkansas 53.2 78.6 70.1 29.3 49.5

California 39.8 77.8 69.6 21.6 37.6

Colorado 35.6 80.7 73.6 21.1 48.9

Connecticut 33.1 75.3 68.8 17.1 45.3

Delaware 39.1 71.4 69.2 19.3 49.5

District of Columbia 40.1 74.9 73.4 22.0 43.1

Florida 39.5 78.1 68.3 21.1 41.5

Georgia 42.4 78.5 63.7 21.2 43.8

Hawaii 39.3 74.1 66.8 19.4 48.1

Idaho 36.8 80.7 75.3 22.3 49.6

Illinois 49.1 77.0 69.1 26.2 47.7

 IL-City of Chicago 54.6 76.8 69.7 29.2 53.6

 IL-Rest of State 46.7 77.2 68.8 24.8 45.7

Indiana 40.0 78.2 69.1 21.6 46.5

Iowa 47.7 81.2 75.1 29.1 56.2

Kansas 44.9 79.2 73.2 26.0 50.6

Kentucky 48.2 78.4 73.6 27.8 50.0

Louisiana 50.4 77.5 69.1 27.0 46.1

Maine 39.7 77.1 77.6 23.7 52.0

Maryland 39.9 76.8 74.9 22.9 42.0

Massachusetts 40.1 75.8 68.4 20.8 48.5

Michigan 41.8 79.3 69.6 23.0 47.9

Minnesota 38.0 79.9 72.5 22.0 48.0

Mississippi 46.9 75.9 68.9 24.5 47.6

Missouri 41.1 80.1 72.9 24.0 46.5

Montana 45.9 82.5 72.8 27.6 53.3

Nebraska 53.8 78.7 75.0 31.8 51.1

Nevada 40.8 78.5 66.9 21.5 43.4

New Hampshire 40.0 74.0 73.2 21.7 47.2

New Jersey 38.3 73.7 67.2 19.0 39.5

New Mexico 44.6 80.4 73.3 26.3 50.7
Key NIS-Teen Response Rates by Area APPENDIX H 

 223

Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Children with 

Adequate Provider 

Data (%)

New York 39.9 75.5 65.0 19.6 41.0

 NY-City of New York 41.6 74.8 62.4 19.4 36.9

 NY-Rest of State 37.6 76.7 69.0 19.9 44.9

North Carolina 40.1 77.9 70.7 22.1 45.9

North Dakota 52.9 79.7 77.0 32.5 56.3

Ohio 37.7 79.0 72.4 21.5 50.9

Oklahoma 52.6 77.4 72.0 29.3 48.0

Oregon 35.0 82.2 74.3 21.3 50.3

Pennsylvania 38.6 74.4 66.0 19.0 50.9

 PA-Philadelphia County 38.9 74.1 65.8 18.9 54.2

 PA-Rest of State 35.3 78.4 69.2 19.1 48.6

Rhode Island 38.9 72.4 69.0 19.5 53.4

South Carolina 42.6 78.1 70.2 23.4 41.4

South Dakota 44.5 78.7 76.7 26.9 54.2

Tennessee 42.0 78.5 73.3 24.2 47.7

Texas 41.3 76.3 69.1 21.7 44.4

 TX-Bexar County 46.0 76.3 71.0 24.9 45.2

 TX-City of Houston 39.6 75.5 65.5 19.6 38.4

 TX-Dallas County 38.1 75.6 68.7 19.8 39.9

 TX-El Paso County 42.0 77.4 67.0 21.8 53.4

 TX-Travis County 40.2 77.0 71.1 22.0 46.2

 TX-Rest of State 50.6 73.8 75.8 28.3 43.5

Utah 38.7 80.2 73.9 22.9 49.4

Vermont 41.0 74.5 77.2 23.6 57.0

Virginia 37.8 75.8 66.5 19.0 40.9

Washington 34.3 80.0 72.6 19.9 46.9

West Virginia 45.1 77.0 71.7 24.9 46.9

Wisconsin 43.1 79.1 73.8 25.2 49.7

Wyoming 66.7 78.5 76.1 39.8 47.9

* For the definition of the key indicators see Table 1.

† Excludes U.S. territories. 
Key NIS-Teen Response Rates by Area APPENDIX H 

 224

Table H.3: CASRO Response Rate for the Combined Landline and Cell-Phone Samples* by 

Estimation Area, National Immunization Survey - Teen, 2017

Area CASRO Response Rate 

(%)

U.S. National† 25.7

Alabama 27.2

Alaska 42.7

Arizona 24.2

Arkansas 30.4

California 25.6

Colorado 23.0

Connecticut 20.0

Delaware 21.4

District of Columbia 23.1

Florida 23.7

Georgia 22.9

Hawaii 20.9

Idaho 25.3

Illinois 29.2

 IL-City of Chicago 32.8

 IL-Rest of State 27.6

Indiana 23.4

Iowa 31.3

Kansas 27.9

Kentucky 29.1

Louisiana 29.1

Maine 25.5

Maryland 28.6

Massachusetts 25.0

Michigan 24.6

Minnesota 24.1

Mississippi 26.7

Missouri 25.4

Montana 30.7

Nebraska 33.7

Nevada 24.0

New Hampshire 24.5

New Jersey 21.8

New Mexico 28.7
Key NIS-Teen Response Rates by Area APPENDIX H 

 225

Area CASRO Response Rate 

(%)

New York 22.5

 NY-City of New York 21.3

 NY-Rest of State 24.1

North Carolina 23.8

North Dakota 34.0

Ohio 23.1

Oklahoma 30.4

Oregon 23.7

Pennsylvania 21.0

 PA-Philadelphia County 20.0

 PA-Rest of State 29.2

Rhode Island 21.6

South Carolina 25.3

South Dakota 28.8

Tennessee 26.2

Texas 23.0

 TX-Bexar County 25.6

 TX-City of Houston 21.6

 TX-Dallas County 20.6

 TX-El Paso County 23.2

 TX-Travis County 22.9

 TX-Rest of State 38.3

Utah 25.4

Vermont 27.1

Virginia 27.7

Washington 22.3

West Virginia 26.8

Wisconsin 27.3

Wyoming 41.3

* For the definition of the CASRO response rate for the combined landline and cell-phone samples, see footnote 6 of Table 1.

† Excludes U.S. territories.