National Immunization Survey-Teen

A User’s Guide for the 2015 

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

September 2016
Data User’s Guide for the 2015 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, Sarah ReaganSteiner, Zhen Zhao, and James A. Singleton. 

NORC – Ken Copeland, Nicholas Davis, Can Geng, Vicki Pineau, Benjamin Skalland, Xian Tao, Kirk 

Wolter, and Michael Zeddies. 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page ii

Table of Contents 

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

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

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

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

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

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

2.4. Informed Consent, Security, and Confidentiality of Information............................................. 14

3. Content of NIS-Teen Questionnaires............................................................................................. 16

3.1. Content of the Household Questionnaire.................................................................................. 16

3.2. Content of the Immunization History Questionnaire (IHQ)..................................................... 18

4. Data Preparation and Processing Procedures............................................................................... 20

4.1. Data Preparation ....................................................................................................................... 20

4.1.1. Editing in the CATI System ........................................................................................ 21

4.1.2. Post-CATI Edits .......................................................................................................... 21

4.1.3. Editing of Provider Data.............................................................................................. 22

4.2. Limitations of Data Editing Procedures.................................................................................... 23

4.3. Variable-Naming Conventions................................................................................................. 24

4.4. Missing Value Codes................................................................................................................ 24

4.5. Imputation for Item Non-Response .......................................................................................... 24

4.6. Vaccine-Specific Recoding of Verbatim Responses................................................................ 25

4.7. Sub-Sets of the NIS-Teen Data................................................................................................. 25

4.8. Confidentiality and Disclosure Avoidance ............................................................................... 26

5. Quality Control and Quality Assurance Procedures.................................................................... 27

6. Sampling Weights............................................................................................................................ 28

6.1. Base Sampling Weight ............................................................................................................. 29

6.2. Adjustments for Non-Resolution of Telephone Numbers and Screener Non-Response .......... 29

6.3. Adjustment for Subsampling of One Teen per Household....................................................... 30

6.4. Adjustment for Interview Non-Response ................................................................................. 31

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

6.6. Post-Stratification ..................................................................................................................... 32

6.7. Adjustment for Provider Non-Response................................................................................... 34

7. Contents of the Public-Use Data File ............................................................................................. 37

7.1. Section 1: ID, Weight, and Flag Variables............................................................................... 40

7.2. Section 2: Household-Reported Vaccination and Health Information ..................................... 41

7.2.1. Household-Reported Tetanus Vaccine Variables........................................................ 41

7.2.2. Household-Reported Meningococcal Vaccine Variables............................................ 42

7.2.3. Household-Reported Human Papillomavirus (HPV) Vaccine Variables.................... 42
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7.2.4. Household-Reported Health Variables........................................................................ 43

7.3. Section 3: Demographic, Socio-Economic, and Other Household/Teen Information.............. 44

7.4. Section 4: Geographic Variables.............................................................................................. 46

7.5. Section 5: Number of Providers Identified and Consent Variables.......................................... 46

7.6. Section 6: Number of Responding Providers Variables........................................................... 46

7.7. Section 7: Characteristics of Providers Variables..................................................................... 46

7.8. Section 8: Provider-Reported Up-To-Date Vaccination Variables .......................................... 49

7.9. Section 9: Provider-Reported Age-At-Vaccination Variables.................................................. 52

7.10. Section 10: Health Insurance Module Variables ...................................................................... 53

8. Analytic and Reporting Guidelines................................................................................................ 57

8.1. Use of NIS Sampling Weights.................................................................................................. 57

8.2. Estimation and Analysis........................................................................................................... 58

8.2.1. Estimating Vaccination Coverage Rates ..................................................................... 58

8.2.2. Estimating Standard Errors of Vaccination Coverage Rates....................................... 59

8.3. Combining Multiple Years of NIS-Teen Data.......................................................................... 60

8.3.1. Estimation of Multi-Year Means................................................................................. 60

8.3.2. Estimation of Multi-Year Contrasts............................................................................. 63

9. Summary Tables.............................................................................................................................. 68

10. Assessment of Total Survey Error in the NIS-Teen...................................................................... 69

11. Limitations........................................................................................................................................ 73

12. Citations for NIS-Teen Data ........................................................................................................... 74

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

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

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

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

Vaccination Coverage Rates and Their Standard Errors, and Example of the Production of a CrossTabulation and Chart................................................................................................................................... 92

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

Appendix E: Summary Tables.................................................................................................................. 174

Appendix F: Vaccine Type Codes............................................................................................................ 184

Appendix G: Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2015..... 186

Appendix H: Key NIS-Teen Response Rates by Area.............................................................................. 193
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List of Tables and Figures 

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

Teen, 2015............................................................................................................................... 13

Table 2: Content of the Household Interview, National Immunization Survey – Teen, 2015 .............. 17

Table 3: Renamed Gardasil (4vHPV) Count Variables on the Public-Use Data File, National 

Immunization Survey - Teen, 2015......................................................................................... 38

Table 4: New 9V and UV Provider HPV Variables on the Public-Use Data File, National 

Immunization Survey - Teen, 2015......................................................................................... 39

Table 5: Household-Reported Meningitis, HPV, and Tetanus Variables on the Public-Use Data File, 

National Immunization Survey - Teen, 2015 .......................................................................... 39

Table 6: Vaccine Categories and Vaccine Types, National Immunization Survey - Teen, 2015.......... 51

Figure 1: Question Flow for the Eight Health Insurance Questions Used to Create the Health 

Insurance Variables Included in the Public-Use Data File, National Immunization Survey - 

Teen, 2015............................................................................................................................... 56

Table 7: Summary of Weights and Stratum Variables, National Immunization Survey - Teen, 2015.. 58

Table 8: Cross-Walk Between ESTIAPT08-ESTIAPT15 and Common Denominator Estimation Area 

(CDIAP), National Immunization Survey - Teen, 2015.......................................................... 65

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

Vaccine Dose among Females by Survey Year, National Immunization Survey - Teen, 2009-

2012......................................................................................................................................... 71

Figure 3: Comparison of Estimated Mean Total Error for ≥1 Tdap, ≥1 MenACWY, and ≥1 HPV 

Vaccine Dose among Females, Excluding and Including the Under-Reporting Error 

Component, National Immunization Survey - Teen, 2012...................................................... 72

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

Interviews, National Immunization Survey - Teen, 2015 ....................................................... 88

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

National Immunization Survey - Teen, 2015 .......................................................................... 90

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

Survey - Teen, 2008-2015..................................................................................................... 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, 2015 ............................................ 174

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

National Immunization Survey - Teen, 2015 ........................................................................ 176

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

Immunization Survey - Teen, 2015....................................................................................... 177
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Table E.4: Estimated Population Totals and Sample Sizes by Race/Ethnicity by Poverty Status, National 

Immunization Survey - Teen, 2015....................................................................................... 178

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

Immunization Survey - Teen, 2015....................................................................................... 179

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

Immunization Survey - Teen, 2015....................................................................................... 180

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, 

2015....................................................................................................................................... 181

Table F.1: Vaccine Type Codes, National Immunization Survey - Teen, 2015 ..................................... 184

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

Year, National Immunization Survey - Teen, 2006-2015 ..................................................... 186

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

Survey Year, National Immunization Survey - Teen, 2006-2015......................................... 187

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

Year, National Immunization Survey - Teen, 2011-2015 ..................................................... 188

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

by Survey Year, National Immunization Survey - Teen, 2011-2015.................................... 188

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

National Immunization Survey - Teen, 2011-2015............................................................... 190

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

Survey Year, National Immunization Survey - Teen, 2011-2015......................................... 190

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

Survey Year, National Immunization Survey - Teen, 2006-2015......................................... 191

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, 2006-2015 ......................... 192

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

Teen, 2015............................................................................................................................. 193

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

Survey - Teen, 2015 .............................................................................................................. 195

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

Area, National Immunization Survey - Teen, 2015............................................................... 197

 
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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 last 

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 vaccines for parents; 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 the 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) 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 adolescents aged 13–17 years living in non-institutionalized 

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

the NIS-Teen are rates of being up-to-date with respect to the recommended numbers of doses of all 

recommended and selected catch-up vaccines (Strikas 2015). 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) – 3 doses; 

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

• Hepatitis B vaccine (Hep B) – 3 doses;
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• Varicella zoster virus (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 (NIS), which seeks to 

estimate vaccination coverage rates among 19–35 month-old children. The NIS 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 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 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 2015 NIS-Teen, there are 61 geographic strata for which vaccine 

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

the District of Columbia, a territory (the U.S. Virgin Islands, Guam, or Puerto Rico), or a “rest of 

state” area. This design makes it possible to produce annual estimates of vaccination coverage levels 

within each of the 61 estimation areas with a specified degree of precision (a coefficient of variation 

of approximately 6.5%). Further, by using the same data collection methodology and survey instruments 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 3 

in all estimation areas, the NIS-Teen produces comparable vaccination coverage levels among estimation 

areas and over time.

Data for the U.S. Virgin Islands and Guam are not included in the 2015 public-use data file to 

protect respondent confidentiality, as the sampling fractions were large in these small-population 

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

proposal and working through the NCHS Research Data Center. The link and guidelines for 

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

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; Philadelphia County, PA). These areas are called estimation areas. In 2015, the NISTeen included five additional estimation areas: El Paso County, TX; Hidalgo County, TX; the U.S. 

Virgin Islands; Guam; and Puerto Rico. As noted throughout this report, some procedures differed for 

territories when compared to the rest of the United States, including the creation of separate survey 

weight variables for analysis that is to include territories. 

In 2015, the NIS 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 July-December 

2015 National Health Interview Survey (NHIS) indicate that the number of households with only 

wireless telephones continues to increase. Approximately 57.7% of all children under 18 years of 

age—over 42 million children—live in households with only wireless telephones (Blumberg and 

Luke 2016). 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. 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 4 

For the 2015 NIS-Teen landline sample, household interviews began on January 26, 2015 and ended 

on February 14, 2016; for the 2015 NIS-Teen cell phone sample, household interviews began on 

January 26, 2015, and ended on February 15, 2016. Provider data collection extended from March

2015 through April 2016 for both sample sources. A total sample, including the territory samples, 

of approximately 10.1 million telephone numbers (3.2 million landline and 6.8 million cell-phone)

yielded household interviews for 46,243 teens (9,546 landline and 36,697 cell-phone), 23,091 of 

whom (5,107 landline and 17,984 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 2015 NIS-Teen public-use data file (which does not 

include data for the U.S. Virgin Islands and Guam) contains data for the 44,773 teens with 

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

histories and facility data) for the 22,214 teens with adequate provider data (including 133

unvaccinated teens). 

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 

2015 will be directly comparable to 2014 NIS-Teen estimates, but not to estimates published prior 

to 2014. 

The weights included in this public-use data file allow data analysts the capability of conducting several 

different types of analysis, depending on interests and aims. One can choose to analyze all teens with 

completed household interviews or only the subset of teens for whom the provider-reported data are 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 5 

adequate. CDC publishes estimates of vaccination coverage based on provider-reported vaccination 

histories using the subset of teens for whom the provider-reported data are adequate. Parental reported 

vaccination status is subject to recall error (Dorell et al. 2011, Ojha et al. 2013). Also, one can choose to 

include or exclude teens who reside in territories in the analysis. Previous NIS-Teen public-use files have 

provided analysts with these capabilities.

The 2015 public-use data file includes only dual-frame weights. The CDC has determined that the dualframe estimates are the best estimates for 2015 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 2015 NIS-Teen public-use data file, and Section 8 provides guidance 

for their use. 

Published tables of vaccination coverage estimates for 2015 will be available on the National Center for 

Immunization and Respiratory Diseases website, http://www.cdc.gov/vaccines/imzmanagers/coverage/nis/teen/index.html. 

The accompanying codebook (NCIRD 2016) documents the contents of the 2015 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 2015 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 2015 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: http://www.cdc.gov/vaccines/nis
Data User’s Guide for the 2015 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 2015. Table E.1 (in Appendix E) lists 

the 61 estimation areas for the 2015 NIS-Teen by state or territory and shows the estimated number 

of teens living in each state or territory and estimation area in 2015. 

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

sampling methodology as the NIS. The NIS 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 cell-phone sample did not use the list-assisted 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 the U.S. Virgin Islands, Guam, and 
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Puerto Rico, so the landline and cell-phone samples for these areas were selected without listassistance.

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 2015, including the U.S. territory samples, 49.9% of teens (53.5% of landline sample teens and 

49.0% of cell-phone sample teens) with a completed household interview were determined to have 

adequate provider data. Excluding territories, this proportion was 49.8% (53.4% for the landline 

sample and 48.9% for the cell-phone sample). The percentage of teens with adequate provider data 

varies among the non-territory estimation areas (from 42.8% in New York City to 58.6% in 

Vermont). Among the U.S. territories, the percentages were 58.7% in the U.S. Virgin Islands, 

60.7% in Guam, and 40.0% in Puerto Rico. The phrase “adequate provider data” means that sufficient 

vaccination history information was obtained from the provider(s) to determine whether the teen is up-todate with respect to the recommended vaccination schedule. The definition of teens with adequate 

provider data includes unvaccinated teens. 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 (137 in 2015, including the U.S. territory samples).

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

area is divided into random sub-samples called replicates. By releasing replicates as needed, it is possible 

to spread the interviews for each sampling area evenly across the entire calendar quarter. Third, an 

automated procedure eliminates 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 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 continuing in 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. 

• 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. 
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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 2015 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 2015 data collection were born between 

January 1997 and February 2003. 

The total landline RDD sample (in replicates that were released for use) consisted of 3,092,053

telephone numbers. Of those, 1,820,338 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 1,271,715 numbers were sent to the telephone centers to be 

dialed and 230,848 households were identified as shown in Rows C and F. Among the identified 

households, 194,814 (84.4%) were successfully screened. Of these, 11,059 (5.7%) contained an ageeligible teen. Among these households, 8,987 (81.3%) completed the household interview.

The cell-phone sample (in replicates that were released for use) consisted of 6,609,456 telephone 

numbers. Of these, 1,679,763 were eliminated before release to the telephone centers by the 

automated procedure as inactive cell phones or numbers on the NIS do-not-call list and the 

remaining 4,929,693 were sent to the telephone centers to be dialed. A total of 961,957 active 

personal cell-phone numbers (APCNs) were identified as shown in Row F. Among the identified 
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APCNs, 706,261 (73.4%) were successfully screened. Of these, 48,838 (6.9%) 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, 35,023

(71.7%) 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 2015). In 2015, the CASRO response rate (Row J) 

for the landline sample was 56.4%. The NIS-Teen CASRO response rate equals the product of the 

resolution rate (82.2%, Row E), the screening completion rate (84.4%, Row G), and the interview 

completion rate among eligible households (81.3%, 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 2015 was 29.8%. As with the 

landline sample, it equals the product of the resolution rate (56.6%, Row E), the screening 

completion rate (73.4%, Row G), and the interview completion rate among eligible households 

(71.7%, Row I). 

The CASRO response rate (Row J) for the combined landline and cell-phone sample was 33.0% in 

2015. 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 8,961 age-eligible teens in 

the landline sample and 34,965 teens in the cell-phone sample (or 43,926 age-eligible teens in total). 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 12

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 – 61.4% for landline sample 

cases and 58.1% for cell-phone sample cases in 2015. 

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, 7,834 (93.4%, 

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

4,784 (53.4%, Row O) had adequate vaccination histories based on provider reporting (5,766) or 

were determined to be unvaccinated (18). The other 46.6% of teens lacked adequate provider data 

for a variety of reasons, such as the parent 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. 

Of the questionnaires mailed to providers of teens from the cell-phone sample, 28,686 (93.6%, Row 

N) were returned. Among the cell-phone-sample teens with completed household interviews, 17,091

(48.9%, Row O) had adequate vaccination histories based on provider reporting (16,979) or had no 

vaccinations based on household reporting (112). 

In 2015, data from the Health Insurance Module (HIM) were collected. Among the 8,961 teens in the 

landline sample with completed household interviews, 5,855 (65.3%, Row P) completed the HIM.

Among the 34,965 teens in the cell-phone sample with completed household interviews, 21,297

(60.9%, Row P) completed the HIM.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 13

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

Survey – Teen, 2015

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

 3,092,053 -- 6,609,456 -- 9,701,509 -- -- 

B 

Phone Numbers Resolved 

before Computer-Assisted 

Telephone Interviewing

 1,820,338 58.9% 1,679,763 25.4% 3,500,101 36.1% B/A 

C 

Total Phone Numbers 

Released to Telephone 

Centers 

 1,271,715 -- 4,929,693 -- 6,201,408 -- A-B 

D Advance Letters Mailed 490,923 38.6% 0 0.0% 490,923 7.9% D/C

E Resolved Phone Numbers1 – 

Resolution Rate 2,541,943 82.2% 3,737,589 56.6% 6,279,532 64.7% E/A

F Households Identified – 

WRN/APCN Rate2 230,848 9.1% 961,957 25.7% 1,192,805 19.0% F/E

G 

Households Successfully 

Screened3 – Screener 

Completion Rate

 194,814 84.4% 706,261 73.4% 901,075 75.5% G/F

H Eligible Households – 

Eligibility Rate4 11,059 5.7% 48,838 6.9% 59,897 6.7% H/G

I 

Households with Completed 

Household Interviews – 

Interview Completion Rate

 8,987 81.3% 35,023 71.7% 44,010 73.5% I/H 

J CASRO Response Rate5 -- 56.4% -- 29.8% -- 33.0% E*G*I6

K 

Age-Eligible Teens with 

Completed Household 

Interviews7

 8,961 -- 34,965 -- 43,926 -- -- 

Provider Phase

L 

Teens with Consent to 

Contact Vaccination 

Providers 

5,506 61.4% 20,315 58.1% 25,821 58.8% L/K

M 

Immunization History 

Questionnaires Mailed to 

Providers 

8,385 -- 30,639 -- 39,024 -- -- 

N 

Immunization History 

Questionnaires Returned 

from Providers

7,834 93.4% 28,686 93.6% 36,520 93.6% N/M

O Teens with Adequate 

Provider Data

4,784 

(includes 18 

unvaccinated 

teens)

53.4% 

17,091 

(includes 

112 

unvaccinated 

teens)

48.9% 

21,875 

(includes 

130 

unvaccinated 

teens)

49.8% O/K

Modules

P 

Age-Eligible Teens with 

Completed Household 

Interview and Completed 

Health Insurance Module

 5,855 65.3% 21,297 60.9% 27,152 61.8% P/K
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 14

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.

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.

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

respondents and confidentiality of sensitive information, NCHS and NCIRD have established standards 

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

the NCHS and NCIRD confidentiality agreements and follow instructions to prevent disclosure. 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 15

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 2015 NIS-Teen Public-Use Data File Page 16

3. Content of NIS-Teen Questionnaires 

This section describes the questionnaires used in the 2015 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 Language Line Services (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 interview is conducted before the household is screened for the NIS-Teen 

survey; if the household does not contain such a child, the household immediately proceeds to the NISTeen 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 2015 NIS-Teen Public-Use Data File Page 17

“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, 2015 

Questionnaire 

Section

Content of Section

Section S Screening questions to determine NIS eligibility

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

Section A 

(Guam only) Vaccination history (asked if shot records are available)

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 ask 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, Section A was reinstated for Guam respondents; however, as described above in 

the Introduction, Guam and U.S. Virgin Islands data are not included in the 2015 public-use data 

file.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 18

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 

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. See Section 7.10 of this user’s guide for 

information on the HIM variables included on the NIS-Teen public-use data file.

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 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 19

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 gender. 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 

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 2015 NIS-Teen Public-Use Data File Page 20

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, gender, 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 recoding 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 2015 NIS-Teen Public-Use Data File Page 21

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 2015 NIS-Teen Public-Use Data File Page 22

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 2015 NIS-Teen Public-Use Data File Page 23

and exact duplicates are removed. If the provider data contain a date of birth, gender, 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 2015 NIS-Teen Public-Use Data File Page 24

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 2016). 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 2016). 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. A sequential hot-deck method is 

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

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

area. Within the categories of the class variables, respondents are sorted by variables related to the 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 25

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 2016) identify variables that contain imputed values. These 

variables include the gender, Hispanic origin, and race of the teen, and the education level, age group, 

marital status, and mobility status of the mother.

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. Sub-Sets 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 the United States, excluding territories; 

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

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

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

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

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

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

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

have a separate weight (PROVWT_D for the United States, excluding territories; 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 26

PROVWT_D_TERR for the United States, including territories), which should be used to form 

estimates of vaccination coverage (see Section 6).

4.8. Confidentiality and Disclosure Avoidance

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

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

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

indicate which variables have collapsed or recoded. 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 27

5. Quality Control and Quality Assurance Procedures 

A major contributor to NIS-Teen data quality is its sample management system, which in 2015 managed 

over 480 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 2015 NIS-Teen Public-Use Data File Page 28

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 sub-set of teens 

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

at least one provider-phase sampling weight. In 2015, the dual-frame RDD-phase sampling weight 

variable for producing estimates for teens with completed household interviews in the United States 

excluding territories is called RDDWT_D; and the dual-frame RDD-phase weight variable for 

producing estimates for the United States including territories is called RDDWT_D_TERR. The 

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

adequate provider data in the United States excluding territories is called PROVWT_D; and the 

dual-frame provider-phase weight variable for producing estimates for the United States including 

territories is called PROVWT_D_TERR. See Section 8 of this user’s guide for more information about 

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

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

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

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

gives an estimate of the corresponding vaccination coverage rate. 

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

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

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

eligible teen in the household, non-response to the household interview, number of telephone lines in the 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 29

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.

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 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 30

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

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

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

of age-eligible teens in households that fail to complete the household interview because of unit nonresponse. 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 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 with 

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 cellphone 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 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 31

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.

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.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 32

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 

(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-phones households from the landline sample are combined with teens in 

landline-only 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-phoneonly 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 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 33

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 NIS-Teen are derived from a combination of 2014 census population 

estimates and the combined 2011, 2012, and 2013 one-year American Community Survey (ACS) data for 

the United States and Puerto Rico. For the U.S Virgin Islands and Guam, the control totals are derived 

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

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

were derived using a similar small area modeling approach as described in Blumberg et al. (2012). 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, gender 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 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 34

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

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

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

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

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

(RDDWT_D for the United States excluding territories; RDDWT_D_TERR for the United States 

including territories). 

6.7. Adjustment for Provider Non-Response

Among the 43,926 teens with a completed household interview from the landline and cell-phone 

samples (excluding territories), 21,875 (49.8%) 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 21,875 teens with adequate provider data, 130 were unvaccinated teens. 

Failure to obtain adequate provider data for the remaining 50.2% was attributable to: 

• parent or guardian not giving consent to contact the teen's vaccination provider(s) (41.1%); 

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

immunization history questionnaire (4.1%); and

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

reported any vaccination data (5.0%). 

The 22,051 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.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 35

Empirical results for the NIS 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 central city of a 

Metropolitan Statistical Area. 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 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 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 36

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 

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 for the United States excluding territories and PROVWT_D_TERR for the 

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

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

provider data and teens with missing provider data.

Appendix B summarizes the distribution of the sampling weights in each estimation area.

After sampling weights were calculated for all children in the 50 states, the District of Columbia, 

and the territories, they were stored in the variables RDDWT_D_TERR and PROVWT_D_TERR. 

These weight variables permit one to conduct analysis for all estimation areas, including territories. 

The weight variables RDDWT_D and PROVWT_D are equal to RDDWT_D_TERR and 

PROVWT_D_TERR for all teens except for teens in territories, for whom the values of RDDWT_D 

and PROVWT_D are blank or missing. RDDWT_D and PROVWT_D permit one to conduct 

analysis of all estimation areas, excluding territories. 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 37

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 2016). 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 2014 and 2015 NIS-Teen public-use data files:

• A new 2015 estimation area variable (ESTIAPT15) has been added and the 2014 estimation 

area variable (ESTIAPT14) has been dropped. (See Table 8.) Note that Puerto Rico teens 

are identified by ESTIAPT15=106 and Hidalgo County, Texas teens are identified by 

ESTIAPT15=107. Although data were collected for the U.S. Virgin Islands and Guam in 

2015, teens in these areas are not included on the public-use data file in order to protect 

confidentiality.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 38

• On the 2015 public-use data file, RDDWT_D_TERR and PROVWT_D_TERR are the 

weights producing dual-frame estimates in the United States including Puerto Rico. See 

Section 8 of this user’s guide for more information about the appropriate weights to use for 

various analyses.

• A new response option was added for marital status, “Living with partner”. A value of “2” 

on the recoded marital variable MARITAL2 now represents “never married; widowed; 

divorced; separated; deceased; living with partner”.

• Beginning in Q1/2015 a new response option, “Gardasil 9”, was added to the HPV section of 

the IHQ shotgrid. This has resulted in changes to the vaccine type codes for the HPV 

vaccine cateogry, as found Appendix F. It has also required changes to the definitions and 

labels for several HPV vaccination variables, as found in Appendix D. Two HPV shot 

counter variables have also been renamed, as indicated in Table 3 below, to be consistent 

with the new vaccine type codes. Finally, new variables that count the number of HPV doses 

for the new HPV vaccine types and new up-to-date indicator variables have been added and

are listed in Table 4.

Table 3: Renamed Gardasil (4vHPV) Count Variables on the Public-Use Data File, National 

Immunization Survey - Teen, 2015

Old Name Label New Name

P_NUMHPV_GD

 

NUMBER OF HPV-GARDASIL (4vHPV) SHOTS 

DETERMINED FROM PROVIDER INFO, EXCLUDING 

VACCINATIONS AFTER THE HOUSEHOLD 

INTERVIEW DATE.

P_NUMHPV_4V

P_N13HPV_GD NUMBER OF HPV-GARDASIL (4vHPV) SHOTS BY 

AGE 13 YEARS DETERMINED FROM PROVIDER 

INFO, EXCLUDING VACCINATIONS AFTER THE 

HOUSEHOLD INTERVIEW DATE.

P_N13HPV_4V
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 39

Table 4: New 9V and UV Provider HPV Variables on the Public-Use Data File, National 

Immunization Survey - Teen, 2015

Variable Name Label

P_N13HPV_9V NUMBER OF HPV-GARDASIL 9 (9vHPV) SHOTS BY AGE 13 YEARS 

DETERMINED FROM PROVIDER INFO, EXCLUDING VACCINATIONS 

AFTER THE HOUSEHOLD INTERVIEW DATE.

P_NUMHPV_9V NUMBER OF HPV-GARDASIL 9 (9vHPV) SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING VACCINATIONS AFTER THE 

HOUSEHOLD INTERVIEW DATE.

P_N13HPV_UV NUMBER OF HPV-GARDASIL, UNKNOWN VALENCY SHOTS BY AGE 13 

YEARS DETERMINED FROM PROVIDER INFO, EXCLUDING 

VACCINATIONS AFTER THE HOUSEHOLD INTERVIEW DATE.

P_NUMHPV_UV NUMBER OF HPV-GARDASIL, UNKNOWN VALENCY SHOTS 

DETERMINED FROM PROVIDER INFO, EXCLUDING VACCINATIONS 

AFTER THE HOUSEHOLD INTERVIEW DATE.

P_UTDHPV_9V UP-TO-DATE FLAG (PROV INFO): 1+ HUMAN PAPILLOMAVIRUS SHOT 

OF TYPE GARDASIL 9 (9vHPV), EXCLUDING VACCINATIONS AFTER 

THE HOUSEHOLD INTERVIEW DATE.

P_UTDHPV2_9V UP-TO-DATE FLAG (PROV INFO): 2+ HUMAN PAPILLOMAVIRUS SHOTS 

OF TYPE GARDASIL 9 (9vHPV), EXCLUDING VACCINATIONS AFTER 

THE HOUSEHOLD INTERVIEW DATE.

P_UTDHPV3_9V UP-TO-DATE FLAG (PROV INFO): 3+ HUMAN PAPILLOMAVIRUS SHOTS 

OF TYPE GARDASIL 9 (9vHPV), EXCLUDING VACCINATIONS AFTER 

THE HOUSEHOLD INTERVIEW DATE.

P_UTDHPV3C_9V UP-TO-DATE FLAG (PROV INFO): HPV CONDITIONAL COMPLETION 

RATE, COUNTING ONLY SHOTS OF TYPE GARDASIL 9 (9vHPV), 

EXCLUDING VACCINATIONS AFTER THE HOUSEHOLD INTERVIEW 

DATE.

Table 5: Household-Reported Meningitis, HPV, and Tetanus Variables on the Public-Use Data 

File, National Immunization Survey - Teen, 2015

Variable Name Label

MEN_ANY HH-REPORT: HAS TEEN EVER RECEIVED ANY MENINGITIS SHOTS? 

(SHOTCARD OR RECALL)

HPVI_ANY HH-REPORT: HAS TEEN EVER RECEIVED ANY HUMAN 

PAPILLOMAVIRUS SHOTS? (SHOTCARD OR RECALL)

TET_ANY HH-REPORT: HAS TEEN EVER RECEIVED ANY TETANUS BOOSTER 

SHOTS? (SHOTCARD OR RECALL)

MEN_NUM_TOT NUMBER OF HH-REPORTED MENINGITIS SHOTS RECEIVED 

(SHOTCARD OR RECALL)

HPV_NUM_TOT NUMBER OF HH-REPORTED HUMAN PAPILLOMAVIRUS SHOTS 

RECEIVED (SHOTCARD OR RECALL)
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 40

• A new up-to-date series completion indicator, P_U13113, was added, which indicates 1 or 

more doses of Tdap on or after the teen’s 10th birthday, 1 or more doses of MenACWY, 

and 3 or more doses of HPV (of any type), all before the age of 13 years, excluding shots 

received after the interview date. This was added as a Healthcare Effectiveness Data and 

Information Set (HEDIS1

) measure for 2017 (http://www.ncqa.org/newsroom/details/ncqaupdates-quality-measures-for-hedis-2017).

• The variable HPVI_ANY_REC was replaced with HPVI_ANY to indicate a household 

report of any HPV shots received, and HPVI_NUM_REC was replaced with 

HPVI_NUM_TOT to record the total number of household-reported HPV shots received; 

MEN_ANY_REC was replaced with MEN_ANY to indicate a household report of any 

Meningitis shots received, and MEN_NUM_REC was replaced with MEN_NUM_TOT to 

record the total number of household-reported Meningitis shots received; and 

TET_ANY_REC was replaced with TET_ANY to indicate a household report of any 

Tetanus booster (Td/Tdap) shots received. These variables are listed in Table 5.

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/RDDWT_D_TERR and 

PROVWT_D /PROVWT_D_TERR are the final household- and provider-phase weights, respectively. 

PROVWT_D/PROVWT_D_TERR should be used when analyzing the provider-reported data, i.e., the 

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

 

1 HEDIS® is a registered trademark of the National Committee for Quality Assurance (NCQA).
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 41

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

Guam respondents who have a shot card available for the selected teen are administered Section A 

of the household questionnaire. However, because Guam and U.S. Virgin Islands data are not 

included on the 2015 public-use data file, as described above in the Introduction, and because 

Section A was administered only for Guam respondents, Section A variables are not included on 

the 2015 public-use data file.

All non-Guam 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 all of the information collected in Section B, and the 

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

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

vaccine asked about in Section B, 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 

also asked whether they recall the teen getting any Tetanus booster vaccinations.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 42

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 (both 

from the shot card and from recall), 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_24 store the answers to this choose-all-that-apply question and reflect the coding of openended responses into the reason categories existing on the questionnaire as well as into newly-created 

reason categories. 

7.2.2. 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 (both from 

the shot card and from recall), 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_23 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. 

7.2.3. 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.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 43

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 (both 

from the shot card and from recall), 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_29 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.

Because Guam and U.S. Virgin Islands data are not included on 2015 public-use data file, and 

because only Guam respondents were administered Section A, the household-reported HPV 

vaccination variables on the 2015 public-use data file are based only on Section B responses.

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). 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 44

All respondents are then asked the age of the teen at the time of his or her last check-up (CKUP_AGE). 

If the teen's age at the last check-up was 13 years or more, the respondent is asked whether the teen had 

an 11-12 year old well-child exam (CKUP_11_12); if the respondent is unable or unwilling to answer 

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

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

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

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

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

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

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

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

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

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

to illness or injury (NOSCHOOLR). 

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

Household/Teen Information

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

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

interview. To protect confidentiality, many of these variables have been collapsed, top-coded, or 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 gender of the selected teen, with missing values imputed. The 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 45

language in which the interview was conducted is stored in variable LANGUAGE, and C5R gives the 

relationship of the respondent to the selected teen. 

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

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

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

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

the interview.

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

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

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

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

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

poverty level. 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.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 46

7.4. Section 4: Geographic Variables

Variables ESTIAPT15 and STATE give the 2015 estimation area and state of residence, respectively, for 

each teen. EST_GRANT indicates which of the 50 states, District of Columbia, and 5 local areas that 

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

Houston, TX; New York City; 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.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 47

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:

● 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 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 48

children, then VFC_ORDER=1 (all providers); if at least one of the teen's providers that returned an IHQ 

containing shot grid data reported that the practice orders vaccines from a state or local health department 

to administer to children and the teen's other providers that returned IHQs containing shot grid data 

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

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

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

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

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

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

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

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

vaccinate children who are not VFC-entitled. 

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 

Immunization Information Systems, 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 2015 NIS-Teen Public-Use Data File Page 49

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 6 shows the vaccine categories and types for the 2015 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 6 – 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 6 – 

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 2015 NIS-Teen Public-Use Data File Page 50

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 6) 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. It 

indicates, among teens that have received at least one HPV vaccination, whether the teen completed the 

recommended 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 24 weeks, as 

24 weeks is the minimum amount of time required to complete the HPV vaccine series.

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 2015 NIS-Teen Public-Use Data File Page 51

Table 6: Vaccine Categories and Vaccine Types, National Immunization Survey - Teen, 2015 

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

VRC Varicella-containing VO Varicella-only

VRC Varicella-containing VM MMR-Varicella

VRC 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-containing 80 MenACWY (Menactra or Menveo) 

MEN Meningococcal-containing 81 MPSV4 (Menomune)

MEN Meningococcal-containing 82 Meningococcal-containing, unknown type

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 2015 NIS-Teen Public-Use Data File Page 52

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 6. 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 6). 

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 2015 NIS-Teen Public-Use Data File Page 53

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. Seven variables containing HIM data are 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 S-CHIP?”;

• TIS_INS_3A: “Is the teen covered by any MEDICAID plan or S-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?”

Note that TIS_INS_4_5 combines the responses at questions TIS_INS_4 and TIS_INS_5. Each variable

has “Yes”, “No”, “Don’t Know”, and “Refused” as response options. Also, users will encounter blanks or 

missing values in each variable. There are several reasons for the missingness. First, in order to reach the 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 54

HIM section, the respondent must first finish Section D. Since the NIS-Teen public-use data file contains 

records for all respondents completing the demographics section, and because some of these 

demographics section respondents did not complete Section D, some records are for respondents who did 

not reach the HIM. Second, there is a possibility that the respondent began the HIM but broke off the 

interview before finishing. Finally, there are skip patterns in the module. That is, depending on the 

respondent's answers to previous questions, certain questions may be skipped. Figure 1 illustrates the flow 

of the eight questions used to create the seven HIM variables included in the NIS-Teen public-use data 

file. 

The first question (TIS_INS_1) was asked of all respondents who reached the HIM. If the name of the 

Medicaid and S-CHIP programs were the same in the teen's state, the respondent skipped to 

TIS_INS_3A; if the names of the Medicaid and S-CHIP programs were different in the teen's state, the 

respondent was instead asked questions TIS_INS_2 and TIS_INS_3. Puerto Rico respondents were 

asked TIS_INS_2, but then skipped to TIS_INS_5 ; U.S. Virgin Islands and Guam respondents 

skipped from TIS_INS_1 to TIS_INS_5. Thus, question TIS_INS_4 was asked of all HIM 

respondents outside the territories, whereas TIS_INS_5 and TIS_INS_6 were asked of all HIM 

respondents. Based on the respondent's answers to previous HIM questions (some of which are not 

included in the public-use file), if it was determined that the teen currently had health insurance or if the 

teen’s insurance status was unknown, the respondent was asked if the teen was ever uninsured at question 

TIS_INS_11. 

Prior to the 2012 TLAF, the variable VFC_I indicated VFC-eligibility. The variable VFC_I was dropped 

from the public-use data file beginning 2012 due to changes to Page 1 of the NIS-Teen IHQ. Entitlement 

to the Vaccines for Children (VFC) program is determined by a number of factors. A teen is entitled if 1) 

the teen is covered by Medicaid, 2) the teen is uninsured, 3) the teen is of American Indian or Alaska 

Native race, or 4) the teen is underinsured and has received vaccinations from a Federally Qualified 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 55

Health Center (FQHC) (http://www.cdc.gov/vaccines/programs/vfc/providers/eligibility.html). The first 

three criteria were unaffected by the change to Page 1 of the IHQ. For the fourth criterion, the approach 

for ascertaining if a provider was a FQHC was changed on the IHQ in 2012. While CDC evaluates the 

accuracy of the provider-reported FQHC status, the VFC_I variable remains dropped from the public-use 

data file. Medicaid and uninsured components of VFC entitlement can be analyzed using other health 

insurance module variables.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 56

Figure 1: Question Flow for the Eight Health Insurance Questions Used to Create the Health 

Insurance Variables Included in the Public-Use Data File, National Immunization 

Survey - Teen, 2015
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 57

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

(PROVWT_D_TERR if territories are to be included). 

Information in the data file can also be used to calculate standard errors of the estimated vaccination 

coverage rates that reflect the complex sample design of the NIS-Teen. The file includes estimation area 

and state identifiers (ESTIAPT15 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 61

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 2015 NIS-Teen public-use data file contains two teen-level sets of weights. The RDDWT_D 

variable gives the household-phase weight for all teens in the United States excluding territories

(RDDWT_D_TERR if territories are to be included). These weights should be used to form estimates 

from teens with completed household interviews. The weights reflect the stratified sample design and also 

have been adjusted for unit non-response, for the selection of one teen per household, for the number of 

telephone lines in the household, for combining the landline and cell-phone samples, for calibration to 

population control totals, and for the exclusion of non-telephone teens. The weight variables 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 58

PROVWT_D/PROVWT_D_TERR apply to teens with adequate provider data. These weights should 

be used to form estimates of vaccination coverage using variables from Sections 7, 8, and 9 of the publicuse data file (see Section 7 of this user's guide). Table 7 presents a summary of the appropriate weights 

and stratum variables to use for various types of analyses.

Table 7: Summary of Weights and Stratum Variables, National Immunization Survey - Teen,

2015 

Weight Variable Population* Sample Frame Strata Stratum 

Variable

RDDWT_D United States excluding

territories

Dual Frame 

(Landline/Cell)

Sample Frame

by Estimation 

Area

STRATUM

RDDWT_D_TERR United States including

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

PROVWT_D_TERR

United States including

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 

U.S. 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 non-
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 59

response, statistical analyses require only data from teens with adequate provider data (PDAT2 = 1), 

along with their final provider sampling weights (PROVWT_D/PROVWT_D_TERR). To summarize 

the statistical methodology by which vaccination coverage rates and their standard errors are obtained 

from these data, let Yhi be an indicator, for the ith teen with adequate provider data in the hth stratum of 

the NIS-Teen sampling design, equal to 1 if the teen is up-to-date according to the provider data and 0 

otherwise. Also, let Whi denote the value of PROVWT_D/PROVWT_D_TERR for this teen. Then, 

letting and , 

the national estimator of the vaccination coverage rate may be expressed as

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

provider data in the hth stratum. 

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

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

stratum). 

8.2.2. Estimating Standard Errors of Vaccination Coverage Rates 

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

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

yields an estimator of the variance of the estimated vaccination coverage rate, , equal to
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 60

 . 

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

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

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

(Stata Corporation 2009). Appendix C gives several examples of the use of SAS, R, and SUDAAN to 

estimate vaccination coverage rates and their standard errors for estimation areas and states. For all 

procedures, the option of with-replacement sampling of primary sampling units within stratum is used, 

because the sampling fractions for households within an estimation area are all quite small. For all 

estimates, the variable STRATUM is used as the stratum variable and the household/teen identifier 

(SEQNUMT) is used as the primary sampling unit identifier. The data file should be sorted first on 

STRATUM and then on SEQNUMT within STRATUM before running the programs for SUDAAN and 

SAS. 

8.3. Combining Multiple Years of NIS-Teen Data

8.3.1. Estimation of Multi-Year Means

With release of the 2015 NIS-Teen public-use data file, eight 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 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 61

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.

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 2012-2015; and provider-phase weights 

PROVWT in 2008-2011 and PROVWT_D in 2012-2015) should be divided by the number of years 

being combined. For example, if data for 2011, 2012, and 2013 for teens with adequate provider data are 

to be combined, then the weights in the three files – PROVWT in 2011 and PROVWT_D in 2012-2013

– 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., 2013). 

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 or SUDAAN. 

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 2011-2015 are defined by the 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 62

variables STRATUM_D (for 2011), and STRATUM (for 2012-2015), 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, and ESTIAPT15 define mutually exclusive and exhaustive geographic areas. However, 

they are not exactly the same areas. For example, Dallas County, TX, was a separate estimation area 

in 2011 but not in 2012-2015. El Paso County, TX, was a separate estimation area in 2011, 2014,

and 2015, but not in 2012 or 2013. Other areas, such as New York City 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, 2013, 2014, and 2015 public-use 

data file

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.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 63

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 8 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. 

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 2014 and in 2015. 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 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 64

the change in the definition of adequate provider data in 2014, users should be aware that 2014 and 

2015 NIS-Teen vaccination coverage estimates, 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 

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, 2013, 2014, or 2015 public-use data file. 

The user should follow the seven-step procedure set forth in the section on multi-year means, using 

NEWWT2 in lieu of NEWWT. In SUDAAN, the user should also specify the contrast of interest 

through use of a CONTRAST statement or an appropriate regression model. For example, to compare the 

measles-containing vaccine up-to-date estimate from 2014 to the 2015 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 2015 NIS-Teen Public-Use Data File Page 65

Table 8: Cross-Walk Between ESTIAPT08-ESTIAPT15 and Common Denominator Estimation Area (CDIAP), National 

Immunization Survey - Teen, 2015 

CDIAP Area Name ESTIAPT08 

(2008) 

ESTIAPT09 

(2009) 

ESTIAPT10 

(2010) 

ESTIAPT11 

(2011) 

ESTIAPT12 

(2012) 

ESTIAPT13 

(2013) 

ESTIAPT14 

(2014) 

ESTIAPT15 

(2015) 

20 Alabama 20 20 20 20 20 20 20 20

74 Alaska 74 74 74 74 74 74 74 74

66 Arizona 66 66 66 66 66 66 66 66

46 Arkansas 46 46 46 46 46 46 46 46

California

68

CA-Los Angeles 

County 68 69 68 68 68 68 68 68

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

60 Colorado 60 60 60 60 60 60 60 60

1 Connecticut 1 1 1 1 1 1 1 1 

13 Delaware 13 13 13 13 13 13 13 13

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

22 Florida 22 22 22 22 22 22 22 22

25 Georgia 25 25 25 25 25 25 25 25

72 Hawaii 72 72 72 72 72 72 72 72

75 Idaho 75 75 75 75 75 75 75 75

Illinois

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

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

Indiana

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

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

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

56 Iowa 56 56 56 56 56 56 56 56

57 Kansas 57 57 57 57 57 57 57 57

27 Kentucky 27 27 27 27 27 27 27 27

47 Louisiana 47 47 47 47 47 47 47 47
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 66

CDIAP Area Name ESTIAPT08 

(2008) 

ESTIAPT09 

(2009) 

ESTIAPT10 

(2010) 

ESTIAPT11 

(2011) 

ESTIAPT12 

(2012) 

ESTIAPT13 

(2013) 

ESTIAPT14 

(2014) 

ESTIAPT15 

(2015) 

4 Maine 4 4 4 4 4 4 4 4 

14 Maryland 14 14 14 14 14 14 14 14

2 Massachusetts 2 2 2 2 2 2 2 2 

38 Michigan 38 38 38 38 38 38 38 38

40 Minnesota 40 40 40 40 40 40 40 40

28 Mississippi 28 28 28 28 28 28 28 28

58 Missouri 58 58 58 58 58 58 58 58

61 Montana 61 61 61 61 61 61 61 61 

59 Nebraska 59 59 59 59 59 59 59 59

73 Nevada 73 73 73 73 73 73 73 73

5 New Hampshire 5 5 5 5 5 5 5 5 

8 New Jersey 8 8 8 8 8 8 8 8 

49 New Mexico 49 49 49 49 49 49 49 49

New York

11

NY-City of New 

York 11 11 11 11 11 11 11 11

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

29 North Carolina 29 29 29 29 29 29 29 29

62 North Dakota 62 62 62 62 62 62 62 62

41 Ohio 41 41 41 41 41 41 41 41

50 Oklahoma 50 50 50 50 50 50 50 50

76 Oregon 76 76 76 76 76 76 76 76

Pennsylvania

17

PA-Philadelphia 

County 17 17 17 17 17 17 17 17

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

6 Rhode Island 6 6 6 6 6 6 6 6 

30 South Carolina 30 30 30 30 30 30 30 30

63 South Dakota 63 63 63 63 63 63 63 63

31 Tennessee 31 31 31 31 31 31 31 31
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 67

CDIAP Area Name ESTIAPT08 

(2008) 

ESTIAPT09 

(2009) 

ESTIAPT10 

(2010) 

ESTIAPT11 

(2011) 

ESTIAPT12 

(2012) 

ESTIAPT13 

(2013) 

ESTIAPT14 

(2014) 

ESTIAPT15 

(2015) 

Texas

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

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

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

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

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

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

64 Utah 64 64 64 64 64 64 64 64

7 Vermont 7 7 7 7 7 7 7 7 

18 Virginia 18 18 18 18 18 18 18 18

77 Washington 77 77 77 77 77 77 77 77

19 West Virginia 19 19 19 19 19 19 19 19

44 Wisconsin 44 44 44 44 44 44 44 44

65 Wyoming 65 65 65 65 65 65 65 65

- Puerto Rico - - - - - - 106 106
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 68

9. Summary Tables 

Appendix E contains seven tables. Appendix Table E.1 lists the 61 estimation areas for the 2015 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 2015 and (from 2015 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 gender 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 2015 NIS-Teen public-use data file. 

Appendix F shows the vaccine type codes used in the 2015 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 2015 NIS-Teen Public-Use Data File Page 69

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

the 2015 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 2015. 

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 10 years, and the 

NIS transitioned from a single-frame landline RDD sampling design to a dual-frame 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 2009-2012 NIS and NIS-Teen data (Molinari et al. 2011, Pineau et al. 2012; Pineau et al. 

2013; NORC 2011; Wolter et al. 2017 expected), including components for coverage error and 

nonresponse error. Figure 2 charts the estimated mean total error for 2009-2012 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 2011 and 2012 than in 2009 and 2010, but this finding does not appear to hold for ≥1 HPV 

among females. Final weights appear to reduce bias for all NIS-Teen vaccination coverage rate estimators 

examined, except for ≥1 HPV in 2011.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 70

For 2012, the TSE model was extended to include a form of measurement error called “provider underreporting” error, in addition to the coverage and nonresponse error components previously included in the 

model (Wolter et al. 2017 expected). Sometimes also called “underascertainment,” provider underreporting 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 3 presents the estimated mean total error for 2012 NIS-Teen vaccination coverage 

rate estimators first excluding and then including the under-reporting error component in the TSE model.

The addition of under-reporting error into the TSE model results in negative estimates of TSE for each 

vaccine; that is, the results suggest that the NIS-Teen vaccination coverage rate estimates may be lower 

than the true vaccination coverage rates for these vaccines due to under-reporting error.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 71

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

Vaccine Dose among Females by Survey Year, National Immunization Survey - Teen, 

2009-2012 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 72

Figure 3: Comparison of Estimated Mean Total Error for ≥1 Tdap, ≥1 MenACWY, and ≥1 HPV 

Vaccine Dose among Females, Excluding and Including the Under-Reporting Error 

Component, National Immunization Survey - Teen, 2012 
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 73

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 2011-2015 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 2015 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 2015 NIS-Teen Public-Use Data File Page 74

12. Citations for NIS-Teen Data 

In publications please acknowledge the original data source. The citation for the 2015 NIS-Teen publicuse data file is:

U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 2015 

National Immunization Survey - Teen, Hyattsville, MD: Centers for Disease Control and Prevention, 

2015. 

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:

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.

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.

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.

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.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 75

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

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 

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.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 76

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.

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.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 77

Gowda C, Dempsey A. Medicaid Reimbursement and the Uptake of Adolescent Vaccines. Vaccine. 2012. 

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

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.

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. 

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 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.
Data User’s Guide for the 2015 NIS-Teen Public-Use Data File Page 78

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.

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

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

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

Lu PJ, Dorell, C, Yankey D, Santibanez T, Singleton J. A Comparison of Parent and Provider Reported 

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Glossary of Abbreviations and Terms APPENDIX A 

86

Appendix A: Glossary of Abbreviations and Terms 

1:3:2:1 The series of 1 or more Td/Tdap vaccinations, 3 or more Hep B vaccinations (or 2 or 

more Hep B 1.0 ml Recombivax vaccinations), 2 or more MMR vaccinations, and 1 or 

more VRC 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 VRC vaccinations (or a history of chicken pox disease)

1:3:1 The series of 1 or more Tdap vaccinations at or after age 10 years, 3 or more HPV 

vaccinations and 1 or more MenACWY 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 vaccine

IAP Immunization Action Plan

IHQ Immunization history questionnaire

MCV Measles-containing vaccine
Glossary of Abbreviations and Terms APPENDIX A 

87

MenACWY Quadrivalent meningococcal conjugate vaccine

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-Teen National Immunization Survey - Teen

NHIS National Health Interview Survey

NIP National Immunization Program

PPS 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 vaccine

Tdap Tetanus, diphtheria, and acellular pertussis vaccine

UTD Up-to-date

WRN Working Residential Number

VFC Vaccines for Children program

VRC Varicella vaccine
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

88

Appendix B: Summary Statistics for Sampling Weights by 

Estimation Area 

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

Interviews, National Immunization Survey - Teen, 2015 

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

U.S. National† 43,926 20,819,525.55 2.87 12,815.13 473.97 156.70

Alabama 735 318,673.62 24.48 1,301.99 433.57 62.10

Alaska 719 46,140.70 7.44 197.99 64.17 62.11

Arizona 911 457,189.88 23.77 1,615.14 501.85 70.07

Arkansas 704 199,106.64 24.55 839.68 282.82 62.89

California 752 2,549,499.24 5.56 12,815.13 3,390.29 89.22

Colorado 721 347,668.03 15.76 1,404.62 482.20 64.09

Connecticut 715 236,879.45 13.37 1,074.10 331.30 63.23

Delaware 716 57,504.71 20.81 224.66 80.31 57.96

District of Columbia 878 25,315.38 3.45 98.24 28.83 82.52

Florida 731 1,173,543.84 10.69 5,472.52 1,605.40 76.60

Georgia 770 708,216.70 14.95 2,874.13 919.76 69.45

Hawaii 683 79,171.52 27.22 314.62 115.92 55.19

Idaho 674 121,709.91 19.30 518.12 180.58 59.49

Illinois 1,637 854,063.09 12.64 1,810.05 521.72 73.36

 IL-City of Chicago 558 152,885.12 16.67 837.55 273.99 64.08

 IL-Rest of State 1,079 701,177.97 12.64 1,810.05 649.84 61.20

Indiana 658 452,437.62 19.87 2,043.99 687.60 63.28

Iowa 716 203,164.35 13.50 808.27 283.75 63.18

Kansas 728 198,172.18 20.10 848.41 272.21 63.82

Kentucky 680 285,204.38 31.66 1,224.68 419.42 59.06

Louisiana 776 307,063.11 14.20 1,171.71 395.70 64.62

Maine 695 77,575.31 24.34 312.77 111.62 61.97

Maryland 884 380,245.82 7.30 1,539.26 430.14 89.68

Massachusetts 698 410,783.75 14.43 1,838.76 588.52 69.46

Michigan 724 661,833.58 11.85 2,785.90 914.13 64.99

Minnesota 760 355,066.45 22.37 1,424.53 467.19 68.70

Mississippi 777 206,953.93 29.54 833.01 266.35 60.66

Missouri 669 394,099.33 13.30 1,891.62 589.09 69.26

Montana 734 62,693.87 11.58 256.83 85.41 64.11

Nebraska 723 126,296.40 16.33 491.01 174.68 59.92

Nevada 791 187,816.12 22.05 733.26 237.44 67.67

New Hampshire 587 82,191.83 18.34 407.82 140.02 58.81

New Jersey 843 580,517.11 11.92 1,937.95 688.63 64.98

New Mexico 778 139,100.68 24.48 523.26 178.79 57.40

New York 1,504 1,192,325.59 11.06 2,683.04 792.77 63.19

 NY-City of New York 731 465,928.67 11.06 1,939.99 637.39 58.10

 NY-Rest of State 773 726,396.93 20.78 2,683.04 939.71 59.67

North Carolina 748 651,689.36 10.64 2,789.11 871.24 69.04

North Dakota 620 43,190.71 9.98 196.47 69.66 58.67

Ohio 713 769,043.53 11.91 3,762.12 1,078.60 70.79

Oklahoma 578 261,147.56 23.14 1,310.01 451.81 62.82

Oregon 671 242,728.65 11.31 1,130.57 361.74 64.52
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

89

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

Pennsylvania 1,668 781,528.77 11.66 2,536.49 468.54 110.84

 PA-Philadelphia County 667 90,692.44 11.66 393.20 135.97 59.16

 PA-Rest of State 1,001 690,836.33 29.07 2,536.49 690.15 82.27

Rhode Island 723 61,643.29 17.75 245.75 85.26 54.08

South Carolina 749 308,566.25 16.36 1,302.39 411.97 67.28

South Dakota 639 55,732.55 8.25 252.07 87.22 62.37

Tennessee 648 425,570.39 14.16 1,953.97 656.74 62.76

Texas 5,051 1,977,147.61 4.54 3,035.16 391.44 145.40

 TX-Bexar County 777 135,369.56 17.89 546.61 174.22 68.56

 TX-City of Houston 555 128,421.75 23.98 718.68 231.39 62.55

 TX-El Paso County 989 68,776.82 4.54 207.46 69.54 68.21

 TX-Hidalgo County 870 77,848.68 12.00 245.64 89.48 53.36

 TX-Rest of State 1,860 1,566,730.81 13.64 3,035.16 842.33 86.99

Utah 675 241,401.08 6.37 1,098.16 357.63 63.52

Vermont 690 36,546.86 7.68 167.75 52.97 59.32

Virginia 848 524,770.91 2.87 2,937.57 618.83 119.94

Washington 764 443,688.35 10.39 1,766.21 580.74 63.18

West Virginia 709 106,943.56 10.98 439.50 150.84 60.60

Wisconsin 670 373,951.47 9.09 1,690.84 558.14 62.13

Wyoming 691 36,010.51 11.42 161.87 52.11 62.05

U.S. Virgin Islands 780 7,230.00 2.04 28.02 9.27 61.09

Guam 690 14,510.00 5.04 59.74 21.03 63.16

Puerto Rico 847 235,623.09 46.71 789.10 278.19 71.08

*Distribution of RDDWT_D_TERR. 

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

90

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

Data, National Immunization Survey - Teen, 2015 

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

U.S. National† 21,875 20,819,525.55 5.27 26,661.40 951.75 165.37

Alabama 361 318,673.62 126.23 2,708.42 882.75 71.53

Alaska 350 46,140.70 30.64 389.02 131.83 62.60

Arizona 444 457,189.88 64.09 3,491.25 1,029.71 75.94

Arkansas 362 199,106.64 79.52 1,682.10 550.02 61.25

California 350 2,549,499.24 10.59 26,661.40 7,284.28 89.31

Colorado 354 347,668.03 35.96 3,118.78 982.11 67.42

Connecticut 358 236,879.45 33.05 2,172.14 661.67 64.17

Delaware 360 57,504.71 41.06 459.32 159.74 61.41

District of Columbia 418 25,315.38 6.82 213.10 60.56 90.29

Florida 321 1,173,543.84 19.06 13,470.96 3,655.90 80.70

Georgia 374 708,216.70 35.14 6,105.64 1,893.63 74.63

Hawaii 340 79,171.52 49.49 653.84 232.86 55.58

Idaho 356 121,709.91 36.63 1,067.64 341.88 71.89

Illinois 779 854,063.09 37.66 4,303.40 1,096.36 77.54

 IL-City of Chicago 283 152,885.12 95.56 1,671.00 540.23 61.23

 IL-Rest of State 496 701,177.97 37.66 4,303.40 1,413.67 63.11

Indiana 328 452,437.62 57.47 4,084.58 1,379.38 62.72

Iowa 383 203,164.35 42.21 1,668.24 530.46 69.91

Kansas 375 198,172.18 41.74 1,706.36 528.46 65.91

Kentucky 330 285,204.38 62.63 2,378.34 864.26 57.11

Louisiana 382 307,063.11 72.37 2,467.20 803.83 63.68

Maine 374 77,575.31 39.89 606.37 207.42 64.94

Maryland 403 380,245.82 12.81 3,424.68 943.54 93.37

Massachusetts 338 410,783.75 33.90 3,790.22 1,215.34 75.03

Michigan 373 661,833.58 25.59 5,783.22 1,774.35 69.53

Minnesota 366 355,066.45 40.30 2,933.22 970.13 68.74

Mississippi 364 206,953.93 68.73 1,641.20 568.55 61.00

Missouri 300 394,099.33 31.47 4,246.53 1,313.66 75.25

Montana 406 62,693.87 17.26 492.66 154.42 65.86

Nebraska 393 126,296.40 42.40 900.28 321.36 61.76

Nevada 372 187,816.12 78.76 1,667.62 504.88 76.53

New Hampshire 295 82,191.83 27.86 803.73 278.62 62.36

New Jersey 364 580,517.11 43.94 4,753.93 1,594.83 68.99

New Mexico 396 139,100.68 38.27 1,029.33 351.26 61.02

New York 665 1,192,325.59 25.98 6,155.45 1,792.97 64.11

 NY-City of New York 313 465,928.67 25.98 4,694.08 1,488.59 56.46

 NY-Rest of State 352 726,396.93 54.10 6,155.45 2,063.63 63.48

North Carolina 358 651,689.36 21.21 5,832.46 1,820.36 66.77

North Dakota 323 43,190.71 20.51 377.11 133.72 62.30

Ohio 332 769,043.53 35.23 7,802.83 2,316.40 75.26

Oklahoma 291 261,147.56 42.57 2,669.22 897.41 61.08

Oregon 353 242,728.65 48.37 2,052.73 687.62 65.59

Pennsylvania 832 781,528.77 54.74 5,085.20 939.34 118.06

 PA-Philadelphia County 340 90,692.44 54.74 770.85 266.74 64.61

 PA-Rest of State 492 690,836.33 58.91 5,085.20 1,404.14 88.13

Rhode Island 419 61,643.29 26.80 461.99 147.12 54.50

South Carolina 360 308,566.25 76.59 2,740.52 857.13 67.68
Summary Statistics for Sampling Weights by Estimation Area APPENDIX B 

91

State/Estimation Area n Sum Minimum Maximum Mean

Coefficient 

of Variation

South Dakota 349 55,732.55 12.65 448.39 159.69 66.12

Tennessee 325 425,570.39 22.71 3,906.21 1,309.45 63.22

Texas 2,617 1,977,147.61 6.64 6,370.32 755.50 158.82

 TX-Bexar County 368 135,369.56 49.42 1,191.89 367.85 71.43

 TX-City of Houston 259 128,421.75 52.22 1,535.72 495.84 68.89

 TX-El Paso County 558 68,776.82 6.64 383.10 123.26 75.00

 TX-Hidalgo County 486 77,848.68 30.04 469.45 160.18 55.07

 TX-Rest of State 946 1,566,730.81 49.34 6,370.32 1,656.16 97.56

Utah 357 241,401.08 19.79 2,146.91 676.19 72.55

Vermont 404 36,546.86 11.19 265.47 90.46 62.57

Virginia 385 524,770.91 5.27 6,491.19 1,363.04 123.93

Washington 396 443,688.35 17.79 3,524.58 1,120.43 63.01

West Virginia 344 106,943.56 28.10 855.07 310.88 58.08

Wisconsin 365 373,951.47 37.81 3,022.02 1,024.52 61.82

Wyoming 331 36,010.51 24.22 359.70 108.79 70.64

U.S. Virgin Islands 458 7,230.00 3.19 48.06 15.79 62.98

Guam 419 14,510.00 6.85 102.84 34.63 64.45

Puerto Rico 339 235,623.09 115.14 2,308.63 695.05 74.59

* Distribution of PROVWT_D_TERR. 

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

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

92

Appendix C: Programs for Estimation: Examples of the Use 

of SUDAAN, SAS, and R to Estimate 

Vaccination Coverage Rates and Their 

Standard Errors, and Example of the 

Production of a Cross-Tabulation and Chart 

I. SUDAAN (RTI, 2009) Page 92

II. SAS (SAS, 2008) Page 106 

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:\nisteenpuf15'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf15'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf15; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt15; * --- 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 

93

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 

94

53 = "TX-El Paso County"

54 = "TX-City of Houston"

55 = "TX-Bexar County"

56 = "IA"

57 = "KS"

58 = "MO"

59 = "NE"

60 = "CO"

61 = "MT"

62 = "ND"

63 = "SD"

64 = "UT"

65 = "WY"

66 = "AZ"

68 = "CA"

72 = "HI"

73 = "NV"

74 = "AK"

75 = "ID"

76 = "OR"

77 = "WA"

106 = "Puerto Rico" 

107 = "TX-Hidalgo 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 107 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 

95

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:\nisteenpuf15'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf15'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf15; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt15; * --- 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 

96

/*

THE FOLLOWING FORMAT WILL BE USED FOR STATE.

*/

value statef

0 ='U.S. Total'

1 ='Alabama '

2 ='Alaska '

4 ='Arizona '

5 ='Arkansas '

6 ='California '

8 ='Colorado '

9 ='Connecticut '

10 ='Delaware '

11 ='District of Columbia'

12 ='Florida '

13 ='Georgia '

15 ='Hawaii '

16 ='Idaho '

17 ='Illinois '

18 ='Indiana '

19 ='Iowa '

20 ='Kansas '

21 ='Kentucky '

22 ='Louisiana '

23 ='Maine '

24 ='Maryland '

25 ='Massachusetts '

26 ='Michigan '

27 ='Minnesota '

28 ='Mississippi '

29 ='Missouri '

30 ='Montana '

31 ='Nebraska '

32 ='Nevada '

33 ='New Hampshire '

34 ='New Jersey '

35 ='New Mexico '

36 ='New York '

37 ='North Carolina '

38 ='North Dakota '

39 ='Ohio '

40 ='Oklahoma '

41 ='Oregon '

42 ='Pennsylvania '

44 ='Rhode Island '

45 ='South Carolina '

46 ='South Dakota '

47 ='Tennessee '

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 

97

49 ='Utah '

50 ='Vermont '

51 ='Virginia '

53 ='Washington '

54 ='West Virginia '

55 ='Wisconsin '

56 ='Wyoming '

72 ='Puerto Rico '

; 

run; 

data sud_file;

set &in_file. (keep= SEQNUMT P_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 78 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 3,7,14,43,52,57-71,73-78 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) and 

not(57<=STATE<=71) and not(73<=state<=78))) 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; 

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

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

98

title1 'PROG_3.SAS'; 

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

THIS PROGRAM WILL PRODUCE A TABLE OF HOUSEHOLD REPORT OF 

THE TEEN HAVING ASTHMA BY STATE FOR ALL HOUSEHOLD COMPLETES USING 

RDDWT. 

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:\nisteenpuf15'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf15'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf15; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt15; * --- 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 '
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

11 ='District of Columbia'

12 ='Florida '

13 ='Georgia '

15 ='Hawaii '

16 ='Idaho '

17 ='Illinois '

18 ='Indiana '

19 ='Iowa '

20 ='Kansas '

21 ='Kentucky '

22 ='Louisiana '

23 ='Maine '

24 ='Maryland '

25 ='Massachusetts '

26 ='Michigan '

27 ='Minnesota '

28 ='Mississippi '

29 ='Missouri '

30 ='Montana '

31 ='Nebraska '

32 ='Nevada '

33 ='New Hampshire '

34 ='New Jersey '

35 ='New Mexico '

36 ='New York '

37 ='North Carolina '

38 ='North Dakota '

39 ='Ohio '

40 ='Oklahoma '

41 ='Oregon '

42 ='Pennsylvania '

44 ='Rhode Island '

45 ='South Carolina '

46 ='South Dakota '

47 ='Tennessee '

48 ='Texas '

49 ='Utah '

50 ='Vermont '

51 ='Virginia '

53 ='Washington '

54 ='West Virginia '

55 ='Wisconsin '

56 ='Wyoming '

72 ='Puerto Rico ' 

; 

run; 

data sud_file;

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

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

***;

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

NUMERIC ***;

run; 

*=== SORT BY NEST VARIABLES: ESTIAP (STRATUM) NSEQNUMT (PRIMARY SAMPLING 

UNIT) ===*;

proc sort data=sud_file;

by &strat. NSEQNUMT;

run; 

proc crosstab data=sud_file filetype=sas design=wr;

weight &wt.; 

nest &strat. NSEQNUMT;

subgroup STATE ASTHMA ;

levels 78 2 ; 

tables STATE * ASTHMA ;

print nsum wsum rowper serow/style=nchs ;

rtitle "ASTHMA ESTIMATES BY STATE"; 

rtitle "WEIGHT = &WT."; 

rformat STATE statef.; 

rformat ASTHMA asthmaf.; 

output rowper serow / filename=sud_est3 filetype=sas;

run; 

*** EXCLUDE 3,7,14,43,52,57-71,73-78 THERE ARE NO STATES WITH THESE FIPS CODES *** ;

proc print data=sud_est3(where=(ASTHMA=1 and STATE notin (3,7,14,43,52) and not(57<=STATE

<=71) and not(73<=state<=78))) label noobs; 

format STATE statef.; 

var STATE rowper serow ;

label

rowper='Percent ASTHMA = Yes'

serow='Standard Error'

; 

title "HH REPORT OF TEEN HAVING ASTHMA BY STATE"; 

run; 

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

title1 'PROG_4.SAS'; 

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

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

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

101

(STRATUM AND PRIMARY SAMPLING UNIT), SPECIFIED IN THE

NEST STATEMENT.

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

options ps=78 ls=90 obs= max;

libname dd 'c:\nisteenpuf15'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf15'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

libname out 'c:\nisteenpuf15'; 

%let in_file=dd.nisteenpuf15; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt15; * --- 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=Q1/2015 - Q4/2015; *--- 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.); 
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

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; 

*=== 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; 

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

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:\nisteenpuf15'; *--- SPECIFY PATH TO SAS DATASET ---*;

%let out='c:\nisteenpuf15'; *--- 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=Q1/2015 - Q4/2015; *--- 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"; 
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

TITLE2 HEIGHT=3 "by Race and Poverty Status, National Immunization Survey - Teen, 2015"; 

footnote j=r 'graph_4sud'; 

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=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 

105
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

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:\nisteenpuf15'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf15'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf15; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt15; * --- 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 

107

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"

53 = "TX-El Paso County"

54 = "TX-City of Houston"

55 = "TX-Bexar County"

56 = "IA"

57 = "KS"

58 = "MO"

59 = "NE"

60 = "CO"

61 = "MT"

62 = "ND"

63 = "SD"

64 = "UT"

65 = "WY"

66 = "AZ"

68 = "CA"

72 = "HI"

73 = "NV"

74 = "AK"

75 = "ID"

76 = "OR"

77 = "WA"

106 = "Puerto Rico" 

107 = "TX-Hidalgo 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 

108

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:\nisteenpuf15'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf15'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf15; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt15; * --- ESTIMATION AREA VARIABLE TO USE ---*;
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

%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 

110

41 ='Oregon '

42 ='Pennsylvania '

44 ='Rhode Island '

45 ='South Carolina '

46 ='South Dakota '

47 ='Tennessee '

48 ='Texas '

49 ='Utah '

50 ='Vermont '

51 ='Virginia '

53 ='Washington '

54 ='West Virginia '

55 ='Wisconsin '

56 ='Wyoming '

72 ='Puerto Rico ' 

; 

run; 

data sas_file;

set &in_file. (keep= SEQNUMT P_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; 
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

var STATE mean stderr;

label

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:\nisteenpuf15'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf15'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

%let in_file=dd.nisteenpuf15; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt15; * --- 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 '
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

18 ='Indiana '

19 ='Iowa '

20 ='Kansas '

21 ='Kentucky '

22 ='Louisiana '

23 ='Maine '

24 ='Maryland '

25 ='Massachusetts '

26 ='Michigan '

27 ='Minnesota '

28 ='Mississippi '

29 ='Missouri '

30 ='Montana '

31 ='Nebraska '

32 ='Nevada '

33 ='New Hampshire '

34 ='New Jersey '

35 ='New Mexico '

36 ='New York '

37 ='North Carolina '

38 ='North Dakota '

39 ='Ohio '

40 ='Oklahoma '

41 ='Oregon '

42 ='Pennsylvania '

44 ='Rhode Island '

45 ='South Carolina '

46 ='South Dakota '

47 ='Tennessee '

48 ='Texas '

49 ='Utah '

50 ='Vermont '

51 ='Virginia '

53 ='Washington '

54 ='West Virginia '

55 ='Wisconsin '

56 ='Wyoming '

72 ='Puerto Rico ' 

; 

run; 

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; 
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

title1 'ASTHMA ESTIMATES BY STATE'; 

ods output Statistics=sas_est3;

proc surveymeans data = sas_file nobs sum mean stderr;

stratum &strat.; 

cluster SEQNUMT;

weight &wt.; 

class ASTHMA;

var ASTHMA;

by STATE;

format ASTHMA asthmaf.; 

format state statef.; 

run; 

data sas_est3;

set sas_est3;

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

stderr = stderr*100; 

run; 

proc print data=sas_est3(where=(varlevel='Yes')) noobs label; 

format STATE statef.; 

format mean stderr 5.2; 

var STATE mean stderr;

label

mean='Percent ASTHMA = Yes'

stderr='Standard Error'; 

title "HH REPORT OF TEEN HAVING ASTHMA BY STATE"; 

run; 

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

title1 'SAS_PROG_4.SAS'; 

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

TABLE OF P_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:\nisteenpuf15'; *--- SPECIFY PATH TO SAS DATASET ---*;

libname library 'c:\nisteenpuf15'; *--- IF DATASET WAS CREATED WITH FORMATS STORED ---*;

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

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

libname out 'c:\nisteenpuf15'; *--- SPECIFY THE PATH FOR WHERE YOU WANT THE CHART 

OUTPUT TO GO ---*;

%let in_file=dd.nisteenpuf15; *--- NAME OF SAS DATASET ---*;

%let estiap=estiapt15; * --- ESTIMATION VARIABLE TO USE ---*;
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

%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) ---*;

%let qtr_lab=Q1/2015 - Q4/2015; *--- 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;
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

set sas_est4 (rename=(INCPOV1=INCPOV1_char RACE_K=RACE_K_char));

*CONVERT TO PERCENT ESTIMATES;

mean = mean*100; 

stderr = stderr*100; 

*CONVERT BACK TO NUMERIC;

INCPOV1=1*INCPOV1_char;

RACE_K=1*RACE_K_char;

run; 

proc print data=sas_est4(where=(varlevel='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:\nisteenpuf15'; *--- SPECIFY PATH TO SAS DATASET ---*;

%let out='c:\nisteenpuf15'; *--- 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=Q1/2015 - Q4/2015; *--- NIS-TEEN 4 QUARTER PERIOD ---*;
Programs for Estimation: Examples of the Use of SUDAAN, SAS, and R to Estimate Vaccination Coverage Rates 

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

116

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 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, 2015"; 

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

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

117

raxis = axis

name = 'graph_4'

patternid = midpoint

; 

run; 

quit; 

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 

118

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:/nisteenpuf15" #"path-to-dataset"

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

in.file <- paste(dd,"/NISTEENPUF15.RData",sep="")

#---READ R DATASET---# 

load(in.file) 

#---FORMAT---# 

UTDMMRlevels=c(0,1)

UTDMMRlabels=c("NOT 2+ MMR UTD", "2+ MMR UTD")

ESTIAPlevels=c(1, 10, 106, 107, 11, 12, 13, 14, 16, 17, 18, 19, 2, 20, 22, 25, 27, 28, 29, 30, 31, 34, 35, 36, 38, 4, 40, 41, 44, 46, 

47, 49, 5, 50, 51, 53, 54, 55, 56, 57, 58, 59, 6, 60, 61, 62, 63, 64, 65, 66, 68, 7, 72, 73, 74, 75, 76, 77, 8)

ESTIAPlabels=c("CT", "NY-Rest of State", "Puerto Rico", "TX-Hidalgo County", "NY-City of New York", "DC", "DE", "MD", 

"PA-Rest of State", "PA-Philadelphia County", "VA", "WV", "MA", "AL", "FL", "GA", "KY", "MS", "NC", "SC", "TN", "ILRest of State", "IL-City of Chicago", "IN", "MI", "ME", "MN", "OH", "WI", "AR", "LA", "NM", "NH", "OK", "TX-Rest of 

State", "TX-El Paso County", "TX-City of Houston", "TX-Bexar County", "IA", "KS", "MO", "NE", "RI", "CO", "MT", "ND", 

"SD", "UT", "WY", "AZ", "CA", "VT", "HI", "NV", "AK", "ID", "OR", "WA", "NJ")

#---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(NISTEENPUF15, select=c(SEQNUMT, P_UTDMMR, ESTIAPT15, 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:/nisteenpuf15" #"path-to-data"

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

in.file <- paste(dd,"/NISTEENPUF15.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, 72)

STATElabels=c(

"ALABAMA",

"ALASKA",

"ARIZONA",

"ARKANSAS",

"CALIFORNIA",

"COLORADO",

"CONNECTICUT",

"DELAWARE",

"DISTRICT OF COLUMBIA",

"FLORIDA",

"GEORGIA",

"HAWAII",

"IDAHO",

"ILLINOIS", 

"INDIANA",

"IOWA",

"KANSAS",

"KENTUCKY",

"LOUISIANA",

"MAINE",

"MARYLAND",

"MASSACHUSETTS",

"MICHIGAN",

"MINNESOTA",

"MISSISSIPPI",
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"MISSOURI",

"MONTANA",

"NEBRASKA",

"NEVADA",

"NEW HAMPSHIRE",

"NEW JERSEY",

"NEW MEXICO",

"NEW YORK",

"NORTH CAROLINA",

"NORTH DAKOTA",

"OHIO",

"OKLAHOMA",

"OREGON",

"PENNSYLVANIA",

"RHODE ISLAND",

"SOUTH CAROLINA",

"SOUTH DAKOTA",

"TENNESSEE",

"TEXAS",

"UTAH",

"VERMONT",

"VIRGINIA", 

"WASHINGTON",

"WEST VIRGINIA",

"WISCONSIN",

"WYOMING",

"PUERTO RICO"

) 

#--- PROVWT_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(NISTEENPUF15, select=c(SEQNUMT, P_UTDMMR, ESTIAPT15, 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()
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library(prettyR) #TO USE freq()

dd <- "c:/nisteenpuf15" #"path-to-dataset"

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

in.file <- paste(dd,"/NISTEENPUF15.RData",sep="")

#---READ R DATASET---# 

load(in.file) 

#---FORMAT---# 

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

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

STATElevels=c(1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15, 16, 17,

18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,

36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 53,

54, 55, 56, 72)

STATElabels=c(

"ALABAMA",

"ALASKA",

"ARIZONA",

"ARKANSAS",

"CALIFORNIA",

"COLORADO",

"CONNECTICUT",

"DELAWARE",

"DISTRICT OF COLUMBIA",

"FLORIDA",

"GEORGIA",

"HAWAII",

"IDAHO",

"ILLINOIS", 

"INDIANA",

"IOWA",

"KANSAS",

"KENTUCKY",

"LOUISIANA",

"MAINE",

"MARYLAND",

"MASSACHUSETTS",

"MICHIGAN",

"MINNESOTA",

"MISSISSIPPI",

"MISSOURI",

"MONTANA",

"NEBRASKA",

"NEVADA",

"NEW HAMPSHIRE",

"NEW JERSEY",

"NEW MEXICO",

"NEW YORK",

"NORTH CAROLINA",

"NORTH DAKOTA",

"OHIO",

"OKLAHOMA",

"OREGON",

"PENNSYLVANIA",

"RHODE ISLAND",

"SOUTH CAROLINA",

"SOUTH DAKOTA",

"TENNESSEE",

"TEXAS",

"UTAH",
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"VERMONT",

"VIRGINIA", 

"WASHINGTON",

"WEST VIRGINIA",

"WISCONSIN",

"WYOMING",

"PUERTO RICO"

) 

#--- 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(NISTEENPUF15, select=c(SEQNUMT, ESTIAPT15, 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:/nisteenpuf15" #"path-to-dataset"

out <-"c:/nisteenpuf15" #"path where output will go"
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#--- NAME OF R DATASET ---# 

in.file <- paste(dd,"/NISTEENPUF15.RData",sep="")

#---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(NISTEENPUF15, select=c(SEQNUMT, P_UTDMMR, ESTIAPT15, 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. Q1/2015 - Q4/2015', '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. Q1/2015 - Q4/2015, 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_15", 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(/)

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

library(Hmisc) #TO USE prn()

dd <- "c:/nisteenpuf15" #---SPECIFY PATH TO R DATASET THAT WAS THE OUTPUT OF R_PROG_4---# 

out <- "c:/nisteenpuf15" #---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_15",sep="")

#---READ R DATASET---# 

load(in.file) 

#---BARCHART---# 

#NOTE:R DOES NOT SUPPORT CREATING A HTML FILE CONTAINING A BARCHART#

#CREATE A DATA MATRIX FOR DRAWING A BARCHART#

utdmmr <- matrix(r_est4$PERCENT_UTD, nrow=3, ncol=4, byrow=F, dimnames=list(levels(r_est4$RACE), 

levels(r_est4$INCOME))) 

#CREATE GRAPH_4.GIF#

barplot(utdmmr, beside=TRUE, space=c(0.2,1),

col = c("wheat", "lightpink2", "forestgreen"),

axis.lty = 1,

sub="(Graph 4 using 'R')", cex.sub=1, ylim=c(0,120),

xlab="Poverty Status",

ylab="2+ MMR Up-To-Date (%)", cex=1, cex.names=1, border=NA)

legend("top", rownames(utdmmr), col=c("wheat", "lightpink2",

"forestgreen"), title="Race of Teen", pch=15, cex=1)

title1 <- "Percentage of Teens Up-to-date with 2+ MMR \n" 

title2 <- "by Race and Poverty Status, National Immunization Survey - Teen, 2015\n" 

mtext(paste(title1,title2), cex=1.3)
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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, 2008-2015 

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

AGE AGE IN YEARS OF SELECTED TEEN Y Y Y Y Y Y Y Y 

AGEGRP_M_I MOTHER'S AGE CATEGORIES (RECODE) 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 

C1R NUMBER OF PEOPLE IN HOUSEHOLD (RECODE) Y Y Y Y Y Y Y Y 

C5R RELATIONSHIP OF RESPONDENT TO TEEN (RECODE) 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 

CHILDNM NUMBER OF CHILDREN UNDER 18 YEARS OF AGE IN HH (RECODE) Y Y Y Y Y Y Y Y 

CKUP_11_12 DID TEEN HAVE AN 11-12 YEAR OLD WELL-CHILD EXAM OR CHECKUP? 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 

CKUP_LAST WAS TEEN'S LAST CHECK-UP MORE OR LESS THAN (AGE - 12) YEARS 

AGO? 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 

CPOX_AGER AGE RANGE WHEN HAD CHICKEN POX DISEASE Y Y Y Y Y Y Y Y 

CPOX_HAD TEEN EVER HAD CHICKEN POX DISEASE? Y Y Y Y Y Y Y Y 

D6R NUMBER OF PROVIDERS IDENTIFIED BY RESPONDENT (NOT DEDUPLICATED) (RECODE) Y Y Y Y Y Y Y Y 

D7 CONSENT TO OBTAIN VACCINATION RECORDS FROM PROVIDERS 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 

EDUC1 EDUCATION LEVEL OF MOTHER WITH 4 CATEGORIES (RECODE) Y Y Y Y Y Y Y Y 

ESTIAPT08 ESTIMATION AREA OF RESIDENCE Y 

ESTIAPT09 ESTIMATION AREA OF RESIDENCE Y 

ESTIAPT10 ESTIMATION AREA OF RESIDENCE Y 

ESTIAPT11 ESTIMATION AREA OF RESIDENCE Y 

ESTIAPT12 ESTIMATION AREA OF RESIDENCE Y 

ESTIAPT13 ESTIMATION AREA OF RESIDENCE Y 

ESTIAPT14 ESTIMATION AREA OF RESIDENCE Y 

ESTIAPT15 ESTIMATION AREA OF RESIDENCE 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 Notes

EST_GRANT NIS CORE AWARDEE ESTIMATION AREA Y Y Y Y 

Added in 2012. 

Includes the 56 

core NIS 

awardee areas. 

FACILITY FACILITY TYPES FOR TEEN'S PROVIDERS 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. 

FLU_AGE1 AGE IN YEARS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #1 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 

FLU_AGE3 AGE IN YEARS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #3 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 

FLU_AGE5 AGE IN YEARS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #5 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 

FLU_AGE7 AGE IN YEARS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #7 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 

FLU_AGE9 AGE IN YEARS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #9 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 

FLU_DAGE2 AGE IN DAYS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #2 Y Y Y Y Y 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

128

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

FLU_DAGE3 AGE IN DAYS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #3 Y Y Y Y Y 

FLU_DAGE4 AGE IN DAYS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #4 Y Y Y Y Y 

FLU_DAGE5 AGE IN DAYS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #5 Y Y Y Y Y 

FLU_DAGE6 AGE IN DAYS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #6 Y Y Y Y Y 

FLU_DAGE7 AGE IN DAYS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #7 Y Y Y Y Y 

FLU_DAGE8 AGE IN DAYS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #8 Y Y Y Y Y 

FLU_DAGE9 AGE IN DAYS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #9 Y Y Y Y Y 

FLU_MAGE1 AGE IN MONTHS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #1 Y Y Y Y Y 

FLU_MAGE2 AGE IN MONTHS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #2 Y Y Y Y Y 

FLU_MAGE3 AGE IN MONTHS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #3 Y Y Y Y Y 

FLU_MAGE4 AGE IN MONTHS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #4 Y Y Y Y Y 

FLU_MAGE5 AGE IN MONTHS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #5 Y Y Y Y Y 

FLU_MAGE6 AGE IN MONTHS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #6 Y Y Y Y Y 

FLU_MAGE7 AGE IN MONTHS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #7 Y Y Y Y Y 

FLU_MAGE8 AGE IN MONTHS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #8 Y Y Y Y Y 

FLU_MAGE9 AGE IN MONTHS OF PROV-REPORTED SEASONAL INFLUENZA 

VACCINATION IN PAST THREE YEARS #9 Y Y Y Y Y 

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 

FLU_MONTH2 MONTH OF PROV-REPORTED SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #2 Y Y Y Y Y Y Y Y 
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 Notes

FLU_MONTH3 MONTH OF PROV-REPORTED SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #3 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 

FLU_MONTH5 MONTH OF PROV-REPORTED SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #5 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 

FLU_MONTH7 MONTH OF PROV-REPORTED SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #7 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 

FLU_MONTH9 MONTH OF PROV-REPORTED SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #9 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. 

FLU_YEAR1 YEAR OF PROV-REPORTED SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #1 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 

FLU_YEAR3 YEAR OF PROV-REPORTED SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #3 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 

FLU_YEAR5 YEAR OF PROV-REPORTED SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #5 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 
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 Notes

FLU_YEAR7 YEAR OF PROV-REPORTED SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #7 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 

FLU_YEAR9 YEAR OF PROV-REPORTED SEASONAL INFLUENZA VACCINATION IN 

PAST THREE YEARS #9 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 

H1N_AGE2 AGE IN YEARS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #2 Y Y Y 

H1N_AGE3 AGE IN YEARS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #3 Y Y Y 

H1N_AGE4 AGE IN YEARS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #4 Y Y Y 

H1N_AGE5 AGE IN YEARS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #5 Y Y Y 

H1N_AGE6 AGE IN YEARS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #6 Y Y Y 

H1N_AGE7 AGE IN YEARS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #7 Y Y Y 

H1N_AGE8 AGE IN YEARS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #8 Y Y Y 

H1N_AGE9 AGE IN YEARS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #9 Y Y Y 

H1N_DAGE1 AGE IN DAYS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #1 Y Y 

H1N_DAGE2 AGE IN DAYS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #2 Y Y 

H1N_DAGE3 AGE IN DAYS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #3 Y Y 

H1N_DAGE4 AGE IN DAYS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #4 Y Y 

H1N_DAGE5 AGE IN DAYS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #5 Y Y 

H1N_DAGE6 AGE IN DAYS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #6 Y Y 

H1N_DAGE7 AGE IN DAYS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #7 Y Y 

H1N_DAGE8 AGE IN DAYS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #8 Y Y 
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 Notes

H1N_DAGE9 AGE IN DAYS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #9 Y Y 

H1N_MAGE1 AGE IN MONTHS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #1 Y Y 

H1N_MAGE2 AGE IN MONTHS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #2 Y Y 

H1N_MAGE3 AGE IN MONTHS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #3 Y Y 

H1N_MAGE4 AGE IN MONTHS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #4 Y Y 

H1N_MAGE5 AGE IN MONTHS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #5 Y Y 

H1N_MAGE6 AGE IN MONTHS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #6 Y Y 

H1N_MAGE7 AGE IN MONTHS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #7 Y Y 

H1N_MAGE8 AGE IN MONTHS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #8 Y Y 

H1N_MAGE9 AGE IN MONTHS OF PROV-REPORTED MONOVALENT 2009 H1N1 

INFLUENZA VACCINATION #9 Y Y 

H1N_MONTH1 MONTH OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #1 Y Y Y 

H1N_MONTH2 MONTH OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #2 Y Y Y 

H1N_MONTH3 MONTH OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #3 Y Y Y 

H1N_MONTH4 MONTH OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #4 Y Y Y 

H1N_MONTH5 MONTH OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #5 Y Y Y 

H1N_MONTH6 MONTH OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #6 Y Y Y 

H1N_MONTH7 MONTH OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #7 Y Y Y 

H1N_MONTH8 MONTH OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #8 Y Y Y 

H1N_MONTH9 MONTH OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #9 Y Y Y 

H1N_YEAR1 YEAR OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #1 Y Y Y 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

132

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

H1N_YEAR2 YEAR OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #2 Y Y Y 

H1N_YEAR3 YEAR OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #3 Y Y Y 

H1N_YEAR4 YEAR OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #4 Y Y Y 

H1N_YEAR5 YEAR OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #5 Y Y Y 

H1N_YEAR6 YEAR OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #6 Y Y Y 

H1N_YEAR7 YEAR OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #7 Y Y Y 

H1N_YEAR8 YEAR OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #8 Y Y Y 

H1N_YEAR9 YEAR OF PROV-REPORTED MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATION #9 Y Y Y 

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 

133

Variable Name Variable Label 2008 2009 2010 2011 2012 2013 2014 2015 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 

HEPA_AGE2 AGE IN YEARS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT #2 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 

HEPA_AGE4 AGE IN YEARS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT #4 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 

HEPA_AGE6 AGE IN YEARS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT #6 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 

HEPA_AGE8 AGE IN YEARS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT #8 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 

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 

HEPA_DAGE2 AGE IN DAYS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT #2 Y Y Y Y Y 

HEPA_DAGE3 AGE IN DAYS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT #3 Y Y Y Y Y 

HEPA_DAGE4 AGE IN DAYS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT #4 Y Y Y Y Y 

HEPA_DAGE5 AGE IN DAYS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT #5 Y Y Y Y Y 

HEPA_DAGE6 AGE IN DAYS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT #6 Y Y Y Y Y 

HEPA_DAGE7 AGE IN DAYS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT #7 Y Y Y Y Y 

HEPA_DAGE8 AGE IN DAYS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT #8 Y Y Y Y Y 

HEPA_DAGE9 AGE IN DAYS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT #9 Y Y Y Y Y 

HEPA_MAGE1 AGE IN MONTHS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT 

#1 Y Y Y Y Y 

HEPA_MAGE2 AGE IN MONTHS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT 

#2 Y Y Y Y Y 
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 Notes

HEPA_MAGE3 AGE IN MONTHS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT 

#3 Y Y Y Y Y 

HEPA_MAGE4 AGE IN MONTHS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT 

#4 Y Y Y Y Y 

HEPA_MAGE5 AGE IN MONTHS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT 

#5 Y Y Y Y Y 

HEPA_MAGE6 AGE IN MONTHS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT 

#6 Y Y Y Y Y 

HEPA_MAGE7 AGE IN MONTHS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT 

#7 Y Y Y Y Y 

HEPA_MAGE8 AGE IN MONTHS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT 

#8 Y Y Y Y Y 

HEPA_MAGE9 AGE IN MONTHS OF PROV-REPORTED HEPATITIS A-CONTAINING SHOT 

#9 Y Y Y Y Y 

HEPA_NUM_REC NUMBER OF HH-REPORTED HEPATITIS A SHOTS RECEIVED (RECALL) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HEPA_NUM_SC NUMBER OF HH-REPORTED HEPATITIS A SHOTS RECEIVED 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HEPA_NUM_TOT NUMBER OF HH-REPORTED HEPATITIS A SHOTS RECEIVED (TOTAL) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HEPA_RECOM HAD OR HAS DOCTOR OR OTHER HEALTH CARE PROFESSIONAL EVER 

RECOMMENDED HEPATITIS A SHOTS? Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HEPB_AGE_SC1 AGE OF TEEN IN YEARS AT HH-REPORTED HEPATITIS B SHOT #1 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HEPB_AGE_SC2 AGE OF TEEN IN YEARS AT HH-REPORTED HEPATITIS B SHOT #2 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HEPB_AGE_SC3 AGE OF TEEN IN YEARS AT HH-REPORTED HEPATITIS B SHOT #3 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 
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 Notes

HEPB_AGE_SC4 AGE OF TEEN IN YEARS AT HH-REPORTED HEPATITIS B SHOT #4 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HEPB_AGE_SC5 AGE OF TEEN IN YEARS AT HH-REPORTED HEPATITIS B SHOT #5 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HEPB_AGE_SC6 AGE OF TEEN IN YEARS AT HH-REPORTED HEPATITIS B SHOT #6 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HEPB_AGE_SC7 AGE OF TEEN IN YEARS AT HH-REPORTED HEPATITIS B SHOT #7 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HEPB_AGE_SC8 AGE OF TEEN IN YEARS AT HH-REPORTED HEPATITIS B SHOT #8 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HEPB_AGE1 AGE IN YEARS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT #1 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 

HEPB_AGE3 AGE IN YEARS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT #3 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 

HEPB_AGE5 AGE IN YEARS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT #5 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 

HEPB_AGE7 AGE IN YEARS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT #7 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 

HEPB_AGE9 AGE IN YEARS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT #9 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 

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 

HEPB_DAGE2 AGE IN DAYS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT #2 Y Y Y Y Y 

HEPB_DAGE3 AGE IN DAYS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT #3 Y Y Y Y Y 

HEPB_DAGE4 AGE IN DAYS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT #4 Y Y Y Y Y 
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 Notes

HEPB_DAGE5 AGE IN DAYS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT #5 Y Y Y Y Y 

HEPB_DAGE6 AGE IN DAYS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT #6 Y Y Y Y Y 

HEPB_DAGE7 AGE IN DAYS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT #7 Y Y Y Y Y 

HEPB_DAGE8 AGE IN DAYS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT #8 Y Y Y Y Y 

HEPB_DAGE9 AGE IN DAYS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT #9 Y Y Y Y Y 

HEPB_MAGE1 AGE IN MONTHS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT 

#1 Y Y Y Y Y 

HEPB_MAGE2 AGE IN MONTHS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT 

#2 Y Y Y Y Y 

HEPB_MAGE3 AGE IN MONTHS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT 

#3 Y Y Y Y Y 

HEPB_MAGE4 AGE IN MONTHS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT 

#4 Y Y Y Y Y 

HEPB_MAGE5 AGE IN MONTHS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT 

#5 Y Y Y Y Y 

HEPB_MAGE6 AGE IN MONTHS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT 

#6 Y Y Y Y Y 

HEPB_MAGE7 AGE IN MONTHS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT 

#7 Y Y Y Y Y 

HEPB_MAGE8 AGE IN MONTHS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT 

#8 Y Y Y Y Y 

HEPB_MAGE9 AGE IN MONTHS OF PROV-REPORTED HEPATITIS B-CONTAINING SHOT 

#9 Y Y Y Y Y 

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 
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 Notes

HH_H1N 

HH REPORT OF NUMBER OF MONOVALENT 2009 H1N1 INFLUENZA 

VACCINATIONS RECEIVED IN THE TWELVE MONTHS PRIOR TO 

INTERVIEW

 Y 

HPV_AGE1 AGE IN YEARS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT #1 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 

HPV_AGE3 AGE IN YEARS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT #3 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 

HPV_AGE5 AGE IN YEARS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT #5 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 

HPV_AGE7 AGE IN YEARS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT #7 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 

HPV_AGE9 AGE IN YEARS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT #9 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 

HPV_DAGE2 AGE IN DAYS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT #2 Y Y Y Y Y 

HPV_DAGE3 AGE IN DAYS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT #3 Y Y Y Y Y 

HPV_DAGE4 AGE IN DAYS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT #4 Y Y Y Y Y 

HPV_DAGE5 AGE IN DAYS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT #5 Y Y Y Y Y 

HPV_DAGE6 AGE IN DAYS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT #6 Y Y Y Y Y 

HPV_DAGE7 AGE IN DAYS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT #7 Y Y Y Y Y 

HPV_DAGE8 AGE IN DAYS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT #8 Y Y Y Y Y 

HPV_DAGE9 AGE IN DAYS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT #9 Y Y Y Y Y 

HPV_MAGE1 AGE IN MONTHS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT 

#1 Y Y Y Y Y 

HPV_MAGE2 AGE IN MONTHS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT 

#2 Y Y Y Y Y 

HPV_MAGE3 AGE IN MONTHS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT 

#3 Y Y Y Y Y 

HPV_MAGE4 AGE IN MONTHS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT 

#4 Y Y Y Y Y 

HPV_MAGE5 AGE IN MONTHS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT 

#5 Y Y Y Y Y 

HPV_MAGE6 AGE IN MONTHS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT 

#6 Y Y Y Y Y 

HPV_MAGE7 AGE IN MONTHS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT 

#7 Y Y Y Y Y 

HPV_MAGE8 AGE IN MONTHS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT 

#8 Y Y Y Y Y 
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 Notes

HPV_MAGE9 AGE IN MONTHS OF PROV-REPORTED HUMAN PAPILLOMAVIRUS SHOT 

#9 Y Y Y Y Y 

HPVI_AGE_SC1 AGE OF TEEN IN YEARS AT HH-REPORTED HUMAN PAPILLOMAVIRUS 

SHOT #1 (SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HPVI_AGE_SC2 AGE OF TEEN IN YEARS AT HH-REPORTED HUMAN PAPILLOMAVIRUS 

SHOT #2 (SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HPVI_AGE_SC3 AGE OF TEEN IN YEARS AT HH-REPORTED HUMAN PAPILLOMAVIRUS 

SHOT #3 (SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HPVI_AGE_SC4 AGE OF TEEN IN YEARS AT HH-REPORTED HUMAN PAPILLOMAVIRUS 

SHOT #4 (SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HPVI_AGE_SC5 AGE OF TEEN IN YEARS AT HH-REPORTED HUMAN PAPILLOMAVIRUS 

SHOT #5 (SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HPVI_AGE_SC6 AGE OF TEEN IN YEARS AT HH-REPORTED HUMAN PAPILLOMAVIRUS 

SHOT #6 (SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HPVI_AGE_SC7 AGE OF TEEN IN YEARS AT HH-REPORTED HUMAN PAPILLOMAVIRUS 

SHOT #7 (SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

HPVI_AGE_SC8 AGE OF TEEN IN YEARS AT HH-REPORTED HUMAN PAPILLOMAVIRUS 

SHOT #8 (SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

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? (SHOTCARD OR RECALL) Y Added in 2015.
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 Notes

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 

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 Dropped 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 

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 

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 

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 

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 

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 

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 

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 

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 

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 
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 Notes

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

I_HISP_K IS TEEN HISPANIC OR LATINO? 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 
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 Notes

INCPORAR INCOME TO POVERTY RATIO (RECODE) Y Y Y Y Y Y Y Y 

INCPOV1 POVERTY STATUS Y Y Y Y Y Y Y Y 

INCQ298A FAMILY INCOME CATEGORIES (RECODE) Y Y Y Y Y Y Y Y 

LANGUAGE LANGUAGE IN WHICH INTERVIEW WAS CONDUCTED Y Y Y Y Y Y Y Y 

MARITAL MARITAL STATUS OF MOTHER: IMPUTED (COLLAPSED) Y 

Replaced by 

MARITAL2 

starting 2009.

MARITAL2 MARITAL STATUS OF MOTHER (RECODE) Y Y Y Y Y Y Y 

Replaces 

MARITAL2 

starting 2009.

MCV_AGE_SC1 AGE OF TEEN IN YEARS AT HH-REPORTED MEASLES OR MMR SHOT #1 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

MCV_AGE_SC2 AGE OF TEEN IN YEARS AT HH-REPORTED MEASLES OR MMR SHOT #2 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

MCV_AGE_SC3 AGE OF TEEN IN YEARS AT HH-REPORTED MEASLES OR MMR SHOT #3 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

MCV_AGE_SC4 AGE OF TEEN IN YEARS AT HH-REPORTED MEASLES OR MMR SHOT #4 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

MCV_AGE_SC5 AGE OF TEEN IN YEARS AT HH-REPORTED MEASLES OR MMR SHOT #5 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

MCV_AGE_SC6 AGE OF TEEN IN YEARS AT HH-REPORTED MEASLES OR MMR SHOT #6 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

MCV_AGE_SC7 AGE OF TEEN IN YEARS AT HH-REPORTED MEASLES OR MMR SHOT #7 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

MCV_AGE_SC8 AGE OF TEEN IN YEARS AT HH-REPORTED MEASLES OR MMR SHOT #8 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

MCV_AGE1 AGE IN YEARS OF PROV-REPORTED MEASLES-CONTAINING SHOT #1 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 Notes

MCV_AGE2 AGE IN YEARS OF PROV-REPORTED MEASLES-CONTAINING SHOT #2 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 

MCV_AGE4 AGE IN YEARS OF PROV-REPORTED MEASLES-CONTAINING SHOT #4 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 

MCV_AGE6 AGE IN YEARS OF PROV-REPORTED MEASLES-CONTAINING SHOT #6 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 

MCV_AGE8 AGE IN YEARS OF PROV-REPORTED MEASLES-CONTAINING SHOT #8 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 

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 

MCV_DAGE2 AGE IN DAYS OF PROV-REPORTED MEASLES-CONTAINING SHOT #2 Y Y Y Y Y 

MCV_DAGE3 AGE IN DAYS OF PROV-REPORTED MEASLES-CONTAINING SHOT #3 Y Y Y Y Y 

MCV_DAGE4 AGE IN DAYS OF PROV-REPORTED MEASLES-CONTAINING SHOT #4 Y Y Y Y Y 

MCV_DAGE5 AGE IN DAYS OF PROV-REPORTED MEASLES-CONTAINING SHOT #5 Y Y Y Y Y 

MCV_DAGE6 AGE IN DAYS OF PROV-REPORTED MEASLES-CONTAINING SHOT #6 Y Y Y Y Y 

MCV_DAGE7 AGE IN DAYS OF PROV-REPORTED MEASLES-CONTAINING SHOT #7 Y Y Y Y Y 

MCV_DAGE8 AGE IN DAYS OF PROV-REPORTED MEASLES-CONTAINING SHOT #8 Y Y Y Y Y 

MCV_DAGE9 AGE IN DAYS OF PROV-REPORTED MEASLES-CONTAINING SHOT #9 Y Y Y Y Y 

MCV_MAGE1 AGE IN MONTHS OF PROV-REPORTED MEASLES-CONTAINING SHOT #1 Y Y Y Y Y 

MCV_MAGE2 AGE IN MONTHS OF PROV-REPORTED MEASLES-CONTAINING SHOT #2 Y Y Y Y Y 

MCV_MAGE3 AGE IN MONTHS OF PROV-REPORTED MEASLES-CONTAINING SHOT #3 Y Y Y Y Y 

MCV_MAGE4 AGE IN MONTHS OF PROV-REPORTED MEASLES-CONTAINING SHOT #4 Y Y Y Y Y 

MCV_MAGE5 AGE IN MONTHS OF PROV-REPORTED MEASLES-CONTAINING SHOT #5 Y Y Y Y Y 

MCV_MAGE6 AGE IN MONTHS OF PROV-REPORTED MEASLES-CONTAINING SHOT #6 Y Y Y Y Y 

MCV_MAGE7 AGE IN MONTHS OF PROV-REPORTED MEASLES-CONTAINING SHOT #7 Y Y Y Y Y 

MCV_MAGE8 AGE IN MONTHS OF PROV-REPORTED MEASLES-CONTAINING SHOT #8 Y Y Y Y Y 

MCV_MAGE9 AGE IN MONTHS OF PROV-REPORTED MEASLES-CONTAINING SHOT #9 Y Y Y Y Y 

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 
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 Notes

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-CONTAINING 

SHOT #1 Y Y Y Y Y Y Y Y 

MEN_AGE2 AGE IN YEARS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #2 Y Y Y Y Y Y Y Y 
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 Notes

MEN_AGE3 AGE IN YEARS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #3 Y Y Y Y Y Y Y Y 

MEN_AGE4 AGE IN YEARS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #4 Y Y Y Y Y Y Y Y 

MEN_AGE5 AGE IN YEARS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #5 Y Y Y Y Y Y Y Y 

MEN_AGE6 AGE IN YEARS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #6 Y Y Y Y Y Y Y Y 

MEN_AGE7 AGE IN YEARS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #7 Y Y Y Y Y Y Y Y 

MEN_AGE8 AGE IN YEARS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #8 Y Y Y Y Y Y Y Y 

MEN_AGE9 AGE IN YEARS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #9 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? 

(SHOTCARD OR RECALL) Y Added in 2015

MEN_DAGE1 AGE IN DAYS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #1 Y Y Y Y Y 

MEN_DAGE2 AGE IN DAYS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #2 Y Y Y Y Y 

MEN_DAGE3 AGE IN DAYS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #3 Y Y Y Y Y 

MEN_DAGE4 AGE IN DAYS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #4 Y Y Y Y Y 

MEN_DAGE5 AGE IN DAYS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #5 Y Y Y Y Y 

MEN_DAGE6 AGE IN DAYS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #6 Y Y Y Y Y 

MEN_DAGE7 AGE IN DAYS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #7 Y Y Y Y Y 

MEN_DAGE8 AGE IN DAYS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #8 Y Y Y Y Y 

MEN_DAGE9 AGE IN DAYS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #9 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 Notes

MEN_MAGE1 AGE IN MONTHS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #1 Y Y Y Y Y 

MEN_MAGE2 AGE IN MONTHS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #2 Y Y Y Y Y 

MEN_MAGE3 AGE IN MONTHS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #3 Y Y Y Y Y 

MEN_MAGE4 AGE IN MONTHS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #4 Y Y Y Y Y 

MEN_MAGE5 AGE IN MONTHS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #5 Y Y Y Y Y 

MEN_MAGE6 AGE IN MONTHS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #6 Y Y Y Y Y 

MEN_MAGE7 AGE IN MONTHS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #7 Y Y Y Y Y 

MEN_MAGE8 AGE IN MONTHS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #8 Y Y Y Y Y 

MEN_MAGE9 AGE IN MONTHS OF PROV-REPORTED MENINGOCOCCAL-CONTAINING 

SHOT #9 Y Y Y Y Y 

MEN_NUM_REC NUMBER OF HH-REPORTED MENINGITIS SHOTS RECEIVED 

(RECALL) Y Y Y Y Y Y Y Dropped 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 

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 

MEN_REAS_10 MAIN REASON TEEN DID NOT RECEIVE MENINGITIS SHOTS: COSTS 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 

MEN_REAS_12 MAIN REASON TEEN DID NOT RECEIVE MENINGITIS SHOTS: 

EFFECTIVENESS CONCERN 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 

MEN_REAS_14 MAIN REASON TEEN DID NOT RECEIVE MENINGITIS SHOTS: CHILD 

SHOULD MAKE DECISION 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 Notes

MEN_REAS_15 MAIN REASON TEEN DID NOT RECEIVE MENINGITIS SHOTS: COLLEGE 

SHOT 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 

MEN_REAS_17 MAIN REASON TEEN DID NOT RECEIVE MENINGITIS SHOTS: 

FAMILY/PARENTAL DECISION 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 

MEN_REAS_19 MAIN REASON TEEN DID NOT RECEIVE MENINGITIS SHOTS: 

RELIGION/ORTHODOX 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 

MEN_REAS_20 MAIN REASON TEEN DID NOT RECEIVE MENINGITIS SHOTS: TIME 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 

MEN_REAS_22 MAIN REASON TEEN DID NOT RECEIVE MENINGITIS SHOTS: ALREADY 

UP-TO-DATE 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 

MEN_REAS_3 MAIN REASON TEEN DID NOT RECEIVE MENINGITIS SHOTS: NOT 

NEEDED OR NOT NECESSARY 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 

MEN_REAS_5 MAIN REASON TEEN DID NOT RECEIVE MENINGITIS SHOTS: NOT 

AVAILABLE 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 

MEN_REAS_7 MAIN REASON TEEN DID NOT RECEIVE MENINGITIS SHOTS: OTHER 

REASON 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 

MOBIL_I GEOGRAPHIC MOBILITY STATUS: STATE OF RESIDENCE AT BIRTH 

VERSUS CURRENT STATE 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 

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 

NUM_CELLS_HH NUMBER OF WORKING CELL PHONES HOUSEHOLD MEMBERS HAVE 

AVAILABLE FOR PERSONAL USE 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 Notes

NUM_CELLS_PARENTS NUMBER OF WORKING CELL PHONES USUALLY USED BY PARENTS OR 

GUARDIANS Y Y Y Y Y Y Y 

NUM_PHONE NUMBER OF RESIDENTIAL TELEPHONE NUMBERS IN HOUSEHOLD 

(EXCLUDING CELL PHONES) Y Y Y Y Y Y Y 

NUM_PROVR NUMBER OF VALID, UNIQUE PROVIDERS IDENTIFIED BY RESPONDENT 

(FOR TEENS WITH CONSENT) (RECODE) 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 

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 

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 

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 

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 

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 

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 

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 

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 
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 Notes

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 

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 

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 

P_N13HEPA_HO 

NUMBER OF HEPATITIS A-ONLY SHOTS DETERMINED BY AGE 13 YEARS 

FROM PROVIDER INFO, EXCLUDING ANY VACCINATIONS AFTER THE 

RDD INTERVIEW DATE.

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 

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 

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 

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 

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 

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 

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 

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 

P_N13HPV_CV 

NUMBER OF HPV-CERVARIX SHOTS BY AGE 13 YEARS DETERMINED 

FROM PROVIDER INFO, EXCLUDING VACCINATIONS AFTER THE 

HOUSEHOLD INTERVIEW DATE.

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

149

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

P_N13HPV_4V

NUMBER OF HPV-GARDASIL (4vHPV) SHOTS BY AGE 13 YEARS 

DETERMINED FROM PROVIDER INFO, EXCLUDING VACCINATIONS 

AFTER THE HOUSEHOLD INTERVIEW DATE.

Y Y Y Y 

Renamed 

from 

P_N13HPV_ 

GD in 2015.

P_N13HPV_9V

NUMBER OF HPV-GARDASIL 9 (9vHPV) SHOTS BY AGE 13 YEARS 

DETERMINED FROM PROVIDER INFO, EXCLUDING VACCINATIONS 

AFTER THE HOUSEHOLD INTERVIEW DATE.

Y Added in 

2015.

P_N13HPV_UV

NUMBER OF HPV-GARDASIL, UNKNOWN VALENCY SHOTS BY AGE 13 

YEARS DETERMINED FROM PROVIDER INFO, EXCLUDING 

VACCINATIONS AFTER THE HOUSEHOLD INTERVIEW DATE.

Y Added in 

2015.

P_N13HPV_HP 

NUMBER OF HPV SHOTS OF UNKNOWN TYPE BY AGE 13 YEARS 

DETERMINED FROM PROVIDER INFO, EXCLUDING VACCINATIONS 

AFTER THE HOUSEHOLD INTERVIEW DATE.

Y Y Y Y 

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 

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 

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 

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 

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 

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 

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 

P_N13MEN

NUMBER OF MENINGOCOCCAL-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 

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 

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 
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 Notes

P_N13MEN_82

NUMBER OF MENINGOCOCCAL-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 

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 

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 

P_N13TDAP_POST10 

NUMBER OF TDAP SHOTS SINCE AGE 10 YEARS AND BY AGE 13 YEARS 

DETERMINED FROM PROVIDER INFO, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 
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 Notes

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 
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 Notes

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

P_NUMHPV_CV 

NUMBER OF CERVARIX HUMAN PAPILLOMAVIRUS SHOTS 

DETERMINED FROM PROVIDER INFO, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y 

P_NUMHPV_4V

NUMBER OF GARDASIL HUMAN PAPILLOMAVIRUS SHOTS 

DETERMINED FROM PROVIDER INFO, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y 

Renamed 

from 

P_NUMHPV_

GD in 2015.

P_NUMHPV_9V

NUMBER OF HPV-GARDASIL 9 (9vHPV) SHOTS DETERMINED FROM 

PROVIDER INFO, EXCLUDING VACCINATIONS AFTER THE 

HOUSEHOLD INTERVIEW DATE.

Y Added in 

2015.

P_NUMHPV_UV

NUMBER OF HPV-GARDASIL, UNKNOWN VALENCY SHOTS 

DETERMINED FROM PROVIDER INFO, EXCLUDING VACCINATIONS 

AFTER THE HOUSEHOLD INTERVIEW DATE.

Y Added in 

2015.
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 Notes

P_NUMHPV_HP 

NUMBER OF HUMAN PAPILLOMAVIRUS SHOTS OF UNKNOWN TYPE 

DETERMINED FROM PROVIDER INFO, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y 

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 

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 

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 

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 

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 

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 

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 

P_NUMMEN 

NUMBER OF MENINGOCOCCAL-CONTAINING SHOTS DETERMINED 

FROM PROVIDER INFO, EXCLUDING ANY VACCINATIONS AFTER THE 

RDD INTERVIEW DATE.

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 

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 

P_NUMMEN_82 

NUMBER OF MENINGOCOCCAL-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 

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 

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 
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 Notes

P_NUMTDAP_POST10 

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 

P_NUMTDAP_POST7 

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 

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 

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 

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 

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 

P_NUMTDP_POST10 

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 

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 

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 

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 

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 

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 

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 Added in 

2015.

P_U131321 UP-TO-DATE FLAG (PROV INFO): 1:3:2:1 SERIES BEFORE AGE 13 YEARS, 

EXCLUDING ANY VACCINATIONS AFTER THE RDD INTERVIEW DATE. Y Y Y Y Y Y Y Y 

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 
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 Notes

P_U13FLU0607

UP-TO-DATE FLAG (PROV INFO): 1+ INFLUENZA VACCINATION 

BETWEEN SEPT 1, 2006 AND JAN 31, 2007, BEFORE AGE 13 YEARS, 

EXCLUDING ANY VACCINATIONS AFTER THE RDD INTERVIEW DATE.

Y 

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 

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 

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 

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 

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 

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 

Removed to 

reflect 

providerreported 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 

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 

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 

Added to 

reflect 

providerreported flu 

vaccinations 

from previous 

3 flu seasons.
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 Notes

P_U13H1N_1

UP-TO-DATE FLAG (PROV INFO): 1+ MONOVALENT 2009 H1N1 FLU 

VACCINATION BEFORE AGE 13 YEARS, EXCLUDING VACCINATIONS 

AFTER THE HOUSEHOLD INTERVIEW DATE AND EXCLUDING 

VACCINATIONS GIVEN PRIOR TO 10/5/2009.

 Y Y Y 

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 

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 

P_U13HEPB 

UP-TO-DATE FLAG (PROV INFO): 2+ HEPB 1.0 ML RECOMBIVAX SHOTS 

BEFORE AGE 13 YEARS, OR 3+ ANY COMBINATION OF HEPATITIS BCONTAINING SHOTS BEFORE AGE 13 YEARS, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y 

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 

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 

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 

P_U13MEN

UP-TO-DATE FLAG (PROV INFO): 1+ MENINGOCOCCAL-CONTAINING 

SHOT BEFORE AGE 13 YEARS, EXCLUDING ANY VACCINATIONS AFTER 

THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y 

P_U13MMR

UP-TO-DATE FLAG (PROV INFO): 2+ MMR-CONTAINING SHOTS BEFORE 

AGE 13 YEARS, EXCLUDING ANY VACCINATIONS AFTER THE RDD 

INTERVIEW DATE.

Y Y Y Y Y Y Y Y 

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 

P_U13TD UP-TO-DATE FLAG (PROV INFO) FOR TD/TDAP BEFORE AGE 13 YEARS, 

EXCLUDING ANY VACCINATIONS AFTER THE RDD INTERVIEW DATE. Y Y Y Y Y Y Y Y 

P_U13TDAP 

UP-TO-DATE FLAG (PROV INFO): 1+ TDAP-ONLY SHOT SINCE AGE 10 

YEARS AND BEFORE AGE 13 YEARS, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y 

P_U13TDAP7 

UP-TO-DATE FLAG (PROV INFO): 1+ TDAP-ONLY SHOT SINCE AGE 7 

YEARS AND BEFORE AGE 13 YEARS, EXCLUDING ANY VACCINATIONS 

AFTER THE RDD INTERVIEW DATE.

 Y Y Y Y Y Y 
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 Notes

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 
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 Notes

P_UTDH1N_1 

UP-TO-DATE FLAG (PROV INFO): 1+ MONOVALENT 2009 H1N1 FLU 

VACCINATION, EXCLUDING VACCINATIONS AFTER THE HOUSEHOLD 

INTERVIEW DATE AND EXCLUDING VACCINATIONS GIVEN PRIOR TO 

10/5/2009.

 Y Y Y 

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 

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 

P_UTDHEPA1 

UP-TO-DATE FLAG (PROV INFO): 1+ HEPATITIS A-CONTAINING SHOTS, 

EXCLUDING VACCINATIONS AFTER THE HOUSEHOLD INTERVIEW 

DATE. 

 Y Y Y Y Y 

P_UTDHEPB 

UP-TO-DATE FLAG (PROV INFO): 2+ HEPB 1.0 ML RECOMBIVAX SHOTS, 

OR 3+ ANY COMBINATION OF HEPATITIS B-CONTAINING SHOTS, 

EXCLUDING ANY VACCINATIONS AFTER THE RDD INTERVIEW DATE.

Y Y Y Y Y Y Y Y 

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 

P_UTDHPV_9V

UP-TO-DATE FLAG (PROV INFO): 1+ HUMAN PAPILLOMAVIRUS SHOT 

OF TYPE GARDASIL 9 (9vHPV), EXCLUDING VACCINATIONS AFTER 

THE HOUSEHOLD INTERVIEW DATE.

Y Added in 

2015.

P_UTDHPV11 

UP-TO-DATE FLAG (PROV INFO): 1 HUMAN PAPILLOMAVIRUS SHOT 

GIVEN 1+ SHOT, EXCLUDING VACCINATIONS AFTER THE HOUSEHOLD 

INTERVIEW DATE.

 Y Y Y Y Y 

P_UTDHPV12 

UP-TO-DATE FLAG (PROV INFO): 2 HUMAN PAPILLOMAVIRUS SHOTS 

GIVEN 1+ SHOT, EXCLUDING VACCINATIONS AFTER THE HOUSEHOLD 

INTERVIEW DATE.

 Y Y Y Y Y 

P_UTDHPV13 

UP-TO-DATE FLAG (PROV INFO): 3+ HUMAN PAPILLOMAVIRUS SHOTS 

GIVEN 1+ SHOT, EXCLUDING VACCINATIONS AFTER THE HOUSEHOLD 

INTERVIEW DATE.

 Y Y Y Y Y 

P_UTDHPV2 

UP-TO-DATE FLAG (PROV INFO): 2+ HUMAN PAPILLOMAVIRUS SHOTS, 

EXCLUDING VACCINATIONS AFTER THE HOUSEHOLD INTERVIEW 

DATE. 

 Y Y Y Y Y 

P_UTDHPV2_9V

UP-TO-DATE FLAG (PROV INFO): 2+ HUMAN PAPILLOMAVIRUS 

SHOTS OF TYPE GARDASIL 9 (9vHPV), EXCLUDING VACCINATIONS 

AFTER THE HOUSEHOLD INTERVIEW DATE.

Y Added 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 

P_UTDHPV3_9V

UP-TO-DATE FLAG (PROV INFO): 3+ HUMAN PAPILLOMAVIRUS 

SHOTS OF TYPE GARDASIL 9 (9vHPV), EXCLUDING VACCINATIONS 

AFTER THE HOUSEHOLD INTERVIEW DATE.

Y Added in 

2015.
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 Notes

P_UTDHPV3C 

UP-TO-DATE FLAG (PROV INFO): HPV CONDITIONAL COMPLETION 

RATE, EXCLUDING VACCINATIONS AFTER THE HOUSEHOLD 

INTERVIEW DATE.

 Y Y Y Y Y 

P_UTDHPV3C_9V

UP-TO-DATE FLAG (PROV INFO): HPV CONDITIONAL COMPLETION 

RATE, COUNTING ONLY SHOTS OF TYPE GARDASIL 9 (9vHPV), 

EXCLUDING VACCINATIONS AFTER THE HOUSEHOLD INTERVIEW 

DATE. 

Y Added 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 

P_UTDMEN 

UP-TO-DATE FLAG (PROV INFO): 1+ MENINGOCOCCAL-CONTAINING 

SHOT, EXCLUDING ANY VACCINATIONS AFTER THE RDD INTERVIEW 

DATE. 

Y Y Y Y Y Y Y Y 

P_UTDMENACWY 

UP-TO-DATE FLAG (PROV INFO): 1+ MENINGOCOCCAL-CONJUGATE 

SHOT OR MENINGOCOCCAL-UNKNOWN TYPE SHOT, EXCLUDING 

VACCINATIONS AFTER THE HOUSEHOLD INTERVIEW DATE.

 Y Y Y Y Y 

P_UTDMMR UP-TO-DATE FLAG (PROV INFO): 2+ MMR-CONTAINING SHOTS, 

EXCLUDING ANY VACCINATIONS AFTER THE RDD INTERVIEW DATE. Y Y Y Y Y Y Y Y 

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 

P_UTDTD UP-TO-DATE FLAG (PROV INFO) FOR TD/TDAP, EXCLUDING ANY 

VACCINATIONS AFTER THE RDD INTERVIEW DATE. Y Y Y Y Y Y Y Y 

P_UTDTD_POST10 

UP-TO-DATE FLAG (PROV INFO): 1+ TD-ONLY SINCE AGE 10 YEARS, 

EXCLUDING VACCINATIONS AFTER THE HOUSEHOLD INTERVIEW 

DATE. 

 Y Y Y Y Y 

P_UTDTDAP 

UP-TO-DATE FLAG (PROV INFO): 1+ TDAP-ONLY SHOT SINCE AGE 10 

YEARS, EXCLUDING ANY VACCINATIONS AFTER THE RDD INTERVIEW 

DATE. 

Y Y Y Y Y Y Y Y 

P_UTDTDAP7 

UP-TO-DATE FLAG (PROV INFO): 1+ TDAP-ONLY SHOT SINCE AGE 7 

YEARS, EXCLUDING ANY VACCINATIONS AFTER THE RDD INTERVIEW 

DATE. 

 Y Y Y Y Y Y 

P_UTDTDP_POST10 

UP-TO-DATE FLAG (PROV INFO): 1+ TD/TDAP-CONTAINING SINCE AGE 

10 YEARS, EXCLUDING VACCINATIONS AFTER THE HOUSEHOLD 

INTERVIEW DATE.

 Y Y Y Y Y 

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 

P_UTDVRC_NOHIST4 

UP-TO-DATE FLAG (PROV INFO): 1+ VARICELLA-CONTAINING SHOT AT 

4+ YEARS OF AGE, NO HISTORY OF CHICKEN POX DISEASE, 

EXCLUDING VACCINATIONS AFTER THE HOUSEHOLD INTERVIEW 

DATE. 

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

160

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

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 

P_UTDVRC2_NOHIST4 

UP-TO-DATE FLAG (PROV INFO): 2+ VARICELLA-CONTAINING SHOT AT 

4+ YEARS OF AGE, NO HISTORY OF CHICKEN POX DISEASE, 

EXCLUDING VACCINATIONS AFTER THE HOUSEHOLD INTERVIEW 

DATE. 

 Y Y Y Y Y 

PDAT ADEQUATE PROVIDER DATA FLAG Y Y Y Y Y Y 

Dropped in 

2014 due to 

change in 

adequate 

provider data 

definition 

PDAT2 ADEQUATE PROVIDER DATA FLAG Y Y 

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 

PPS_AGE2 AGE IN YEARS OF PROV-REPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #2 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 

PPS_AGE4 AGE IN YEARS OF PROV-REPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #4 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 

PPS_AGE6 AGE IN YEARS OF PROV-REPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #6 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 

PPS_AGE8 AGE IN YEARS OF PROV-REPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #8 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 

PPS_DAGE1 AGE IN DAYS OF PROV-REPORTED PNEUMOCOCCAL POLYSACCHARIDE 

SHOT #1 Y Y Y Y Y 

PPS_DAGE2 AGE IN DAYS OF PROV-REPORTED PNEUMOCOCCAL POLYSACCHARIDE 

SHOT #2 Y Y Y Y Y 

PPS_DAGE3 AGE IN DAYS OF PROV-REPORTED PNEUMOCOCCAL POLYSACCHARIDE 

SHOT #3 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 Notes

PPS_DAGE4 AGE IN DAYS OF PROV-REPORTED PNEUMOCOCCAL POLYSACCHARIDE 

SHOT #4 Y Y Y Y Y 

PPS_DAGE5 AGE IN DAYS OF PROV-REPORTED PNEUMOCOCCAL POLYSACCHARIDE 

SHOT #5 Y Y Y Y Y 

PPS_DAGE6 AGE IN DAYS OF PROV-REPORTED PNEUMOCOCCAL POLYSACCHARIDE 

SHOT #6 Y Y Y Y Y 

PPS_DAGE7 AGE IN DAYS OF PROV-REPORTED PNEUMOCOCCAL POLYSACCHARIDE 

SHOT #7 Y Y Y Y Y 

PPS_DAGE8 AGE IN DAYS OF PROV-REPORTED PNEUMOCOCCAL POLYSACCHARIDE 

SHOT #8 Y Y Y Y Y 

PPS_DAGE9 AGE IN DAYS OF PROV-REPORTED PNEUMOCOCCAL POLYSACCHARIDE 

SHOT #9 Y Y Y Y Y 

PPS_MAGE1 AGE IN MONTHS OF PROV-REPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #1 Y Y Y Y Y 

PPS_MAGE2 AGE IN MONTHS OF PROV-REPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #2 Y Y Y Y Y 

PPS_MAGE3 AGE IN MONTHS OF PROV-REPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #3 Y Y Y Y Y 

PPS_MAGE4 AGE IN MONTHS OF PROV-REPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #4 Y Y Y Y Y 

PPS_MAGE5 AGE IN MONTHS OF PROV-REPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #5 Y Y Y Y Y 

PPS_MAGE6 AGE IN MONTHS OF PROV-REPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #6 Y Y Y Y Y 

PPS_MAGE7 AGE IN MONTHS OF PROV-REPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #7 Y Y Y Y Y 

PPS_MAGE8 AGE IN MONTHS OF PROV-REPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #8 Y Y Y Y Y 

PPS_MAGE9 AGE IN MONTHS OF PROV-REPORTED PNEUMOCOCCAL 

POLYSACCHARIDE SHOT #9 Y Y Y Y Y 

PROVWT FINAL PROVIDER-PHASE WEIGHT (EXCLUDING U.S. VIRGIN ISLANDS) Y Y Y 

PROVWT_D FINAL DUAL-FRAME PROVIDER-PHASE WEIGHT Y Y Y Y Y 

PROVWT_LL FINAL LANDLINE PROVIDER-PHASE WEIGHT (EXCLUDING U.S. VIRGIN 

ISLANDS) Y 

PROVWTVI FINAL PROVIDER-PHASE WEIGHT (INCLUDING U.S. VIRGIN ISLANDS) Y Y 

PROVWTVI_D FINAL PROVIDER-PHASE WEIGHT (INCLUDING U.S. VIRGIN ISLANDS) Y 

PROVWTVIGU_D FINAL PROVIDER-PHASE WEIGHT (INCLUDING U.S. VIRGIN ISLANDS 

AND GUAM) Y 

PROVWT_D_TERR FINAL PROVIDER-PHASE WEIGHT (INCLUDING TERRITORIES) Y Y 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

162

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

PROVWTVI_LL FINAL LANDLINE PROVIDER-PHASE WEIGHT (INCLUDING U.S. VIRGIN 

ISLANDS) Y 

RACE_K RACE OF TEEN WITH MULTIRACE CATEGORY (RECODE) 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 

RDDWT FINAL HOUSEHOLD-PHASE WEIGHT (EXCLUDING U.S. VIRGIN ISLANDS) Y Y Y 

RDDWT_D FINAL DUAL-FRAME HOUSEHOLD-PHASE WEIGHT Y Y Y Y Y 

RDDWT_LL FINAL LANDLINE HOUSEHOLD-PHASE WEIGHT (EXCLUDING U.S. 

VIRGIN ISLANDS) Y 

RDDWTVI FINAL HOUSEHOLD-PHASE WEIGHT (INCLUDING U.S. VIRGIN ISLANDS) Y Y 

RDDWTVI_D FINAL HOUSEHOLD-PHASE WEIGHT (INCLUDING U.S. VIRGIN ISLANDS) Y 

RDDWTVIGU_D FINAL HOUSEHOLD-PHASE WEIGHT (INCLUDING U.S. VIRGIN ISLANDS

AND GUAM) Y 

RDDWT_D_TERR FINAL HOUSEHOLD-PHASE WEIGHT (INCLUDING TERRITORIES) Y Y 

RDDWTVI_LL FINAL LANDLINE HOUSEHOLD-PHASE WEIGHT (INCLUDING U.S. 

VIRGIN ISLANDS) Y 

REGISTRY DID TEEN'S PROVIDERS REPORT TEEN'S IMMUNIZATIONS TO 

IMMUNIZATION REGISTRY? 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 

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 

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 

RISK_NOW DOES TEEN STILL HAVE ANY OF THESE CONDITIONS? Y Y Y Y Y Y Y Y 

SEQNUMT UNIQUE TEEN IDENTIFIER Y Y Y Y Y Y Y Y 

SEX GENDER OF TEEN 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 

STRATUM STRATUM VARIABLE FOR ALL VARIANCE ESTIMATION Y Y Y Y 

STRATUM_D STRATUM VARIABLE FOR DUAL-FRAME VARIANCE ESTIMATION Y 

TDP_AGE1 AGE IN YEARS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #1 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 

TDP_AGE3 AGE IN YEARS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #3 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 
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 Notes

TDP_AGE5 AGE IN YEARS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #5 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 

TDP_AGE7 AGE IN YEARS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #7 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 

TDP_AGE9 AGE IN YEARS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #9 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 

TDP_DAGE2 AGE IN DAYS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #2 Y Y Y Y Y 

TDP_DAGE3 AGE IN DAYS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #3 Y Y Y Y Y 

TDP_DAGE4 AGE IN DAYS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #4 Y Y Y Y Y 

TDP_DAGE5 AGE IN DAYS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #5 Y Y Y Y Y 

TDP_DAGE6 AGE IN DAYS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #6 Y Y Y Y Y 

TDP_DAGE7 AGE IN DAYS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #7 Y Y Y Y Y 

TDP_DAGE8 AGE IN DAYS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #8 Y Y Y Y Y 

TDP_DAGE9 AGE IN DAYS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #9 Y Y Y Y Y 

TDP_MAGE1 AGE IN MONTHS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #1 Y Y Y Y Y 

TDP_MAGE2 AGE IN MONTHS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #2 Y Y Y Y Y 

TDP_MAGE3 AGE IN MONTHS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #3 Y Y Y Y Y 

TDP_MAGE4 AGE IN MONTHS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #4 Y Y Y Y Y 

TDP_MAGE5 AGE IN MONTHS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #5 Y Y Y Y Y 

TDP_MAGE6 AGE IN MONTHS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #6 Y Y Y Y Y 

TDP_MAGE7 AGE IN MONTHS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #7 Y Y Y Y Y 

TDP_MAGE8 AGE IN MONTHS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #8 Y Y Y Y Y 

TDP_MAGE9 AGE IN MONTHS OF PROV-REPORTED TD/TDAP-CONTAINING SHOT #9 Y Y Y Y Y 

TEL_SAMPFRAME SAMPLE FRAME INDICATOR (LANDLINE OR CELL-PHONE) Y 

TET_AGE_SC1 AGE OF TEEN IN YEARS AT HH-REPORTED TETANUS BOOSTER SHOT #1 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_AGE_SC2 AGE OF TEEN IN YEARS AT HH-REPORTED TETANUS BOOSTER SHOT #2 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_AGE_SC3 AGE OF TEEN IN YEARS AT HH-REPORTED TETANUS BOOSTER SHOT #3 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

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

164

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

TET_AGE_SC4 AGE OF TEEN IN YEARS AT HH-REPORTED TETANUS BOOSTER SHOT #4 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_AGE_SC5 AGE OF TEEN IN YEARS AT HH-REPORTED TETANUS BOOSTER SHOT #5 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_AGE_SC6 AGE OF TEEN IN YEARS AT HH-REPORTED TETANUS BOOSTER SHOT #6 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_AGE_SC7 AGE OF TEEN IN YEARS AT HH-REPORTED TETANUS BOOSTER SHOT #7 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_AGE_SC8 AGE OF TEEN IN YEARS AT HH-REPORTED TETANUS BOOSTER SHOT #8 

(SHOTCARD) Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_ANY_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? (SHOTCARD OR RECALL) Y Added 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 
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 Notes

TET_PLACE_1 KIND OF PLACE TEEN RECEIVED TETANUS BOOSTER SHOT AFTER AGE 

7 YEARS: DOCTOR'S OFFICE Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_PLACE_10 KIND OF PLACE TEEN RECEIVED TETANUS BOOSTER SHOT AFTER AGE 

7 YEARS: HOSPITAL-BASED CLINIC Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_PLACE_11 KIND OF PLACE TEEN RECEIVED TETANUS BOOSTER SHOT AFTER AGE 

7 YEARS: WHILE HOSPITALIZED Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_PLACE_12 KIND OF PLACE TEEN RECEIVED TETANUS BOOSTER SHOT AFTER AGE 

7 YEARS: ELEMENTARY/MIDDLE/HIGH SCHOOL Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_PLACE_2 KIND OF PLACE TEEN RECEIVED TETANUS BOOSTER SHOT AFTER AGE 

7 YEARS: EMERGENCY ROOM Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_PLACE_3 KIND OF PLACE TEEN RECEIVED TETANUS BOOSTER SHOT AFTER AGE 

7 YEARS: HEALTH DEPARTMENT Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_PLACE_4 KIND OF PLACE TEEN RECEIVED TETANUS BOOSTER SHOT AFTER AGE 

7 YEARS: CLINIC OR HEALTH CENTER Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_PLACE_5 KIND OF PLACE TEEN RECEIVED TETANUS BOOSTER SHOT AFTER AGE 

7 YEARS: HOSPITAL Y Y Y Y Y Y 

Dropped in 

2014 due to 

shortened 

questionnaire 

TET_PLACE_6 KIND OF PLACE TEEN RECEIVED TETANUS BOOSTER SHOT AFTER AGE 

7 YEARS: OTHER 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 
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 Notes

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 

TET_REAS_10 MAIN REASON TEEN DID NOT RECEIVE TETANUS BOOSTER SHOTS: 

COSTS 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 

TET_REAS_12 MAIN REASON TEEN DID NOT RECEIVE TETANUS BOOSTER SHOTS: 

EFFECTIVENESS CONCERN 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 

TET_REAS_14 MAIN REASON TEEN DID NOT RECEIVE TETANUS BOOSTER SHOTS: 

CHILD SHOULD MAKE DECISION 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 

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 

TET_REAS_17 MAIN REASON TEEN DID NOT RECEIVE TETANUS BOOSTER SHOTS: 

FAMILY/PARENTAL DECISION 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 

TET_REAS_19 MAIN REASON TEEN DID NOT RECEIVE TETANUS BOOSTER SHOTS: 

RELIGION/ORTHODOX 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 

TET_REAS_20 MAIN REASON TEEN DID NOT RECEIVE TETANUS BOOSTER SHOTS: 

TIME 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 

TET_REAS_22 MAIN REASON TEEN DID NOT RECEIVE TETANUS BOOSTER SHOTS: 

ALREADY UP-TO-DATE 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 

TET_REAS_24 MAIN REASON TEEN DID NOT RECEIVE TETANUS BOOSTER SHOTS: 

NOT A SCHOOL REQUIREMENT Y Y Y Y Y Y Y Y 

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 
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 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 

TET_REAS_5 MAIN REASON TEEN DID NOT RECEIVE TETANUS BOOSTER SHOTS: 

NOT APPROPRIATE AGE 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 

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 
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 Notes

TIS_INS_1 IS TEEN COVERED BY HEALTH INSURANCE PROVIDED THROUGH 

EMPLOYER OR UNION? Y Y Y Y Y Y Y Y 

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 

TIS_INS_2 IS TEEN COVERED BY ANY MEDICAID PLAN? Y Y Y Y Y Y Y Y 

TIS_INS_3 IS TEEN COVERED BY S-CHIP? Y Y Y Y Y Y Y Y 

TIS_INS_3A IS TEEN COVERED BY ANY MEDICAID PLAN OR S-CHIP? Y Y Y Y Y Y Y Y 

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 

Replaces 

TIS_INS_4 and 

TIS_INS_5 

starting 2009.

TIS_INS_5 IS TEEN COVERED BY MILITARY HEALTH CARE, TRICARE, CHAMPUS, 

OR CHAMP-VA? Y 

Replaced by 

TIS_INS_4_5 

starting 2009.

TIS_INS_6 IS TEEN COVERED BY ANY OTHER HEALTH INSURANCE OR HEALTH 

CARE PLAN? Y Y Y Y Y Y Y Y 

VFC_I DERIVED: IS TEEN VFC ELIGIBLE? Y Y Y 

VFC_ORDER DO TEEN'S PROVIDERS ORDER VACCINES FROM STATE/LOCAL HEALTH 

DEPT? 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 

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 
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 Notes

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 

VRC_AGE2 AGE IN YEARS OF PROV-REPORTED VARICELLA-CONTAINING SHOT #2 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 

VRC_AGE4 AGE IN YEARS OF PROV-REPORTED VARICELLA-CONTAINING SHOT #4 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 

VRC_AGE6 AGE IN YEARS OF PROV-REPORTED VARICELLA-CONTAINING SHOT #6 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 

VRC_AGE8 AGE IN YEARS OF PROV-REPORTED VARICELLA-CONTAINING SHOT #8 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 

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 

VRC_DAGE2 AGE IN DAYS OF PROV-REPORTED VARICELLA-CONTAINING SHOT #2 Y Y Y Y Y 

VRC_DAGE3 AGE IN DAYS OF PROV-REPORTED VARICELLA-CONTAINING SHOT #3 Y Y Y Y Y 

VRC_DAGE4 AGE IN DAYS OF PROV-REPORTED VARICELLA-CONTAINING SHOT #4 Y Y Y Y Y 

VRC_DAGE5 AGE IN DAYS OF PROV-REPORTED VARICELLA-CONTAINING SHOT #5 Y Y Y Y Y 

VRC_DAGE6 AGE IN DAYS OF PROV-REPORTED VARICELLA-CONTAINING SHOT #6 Y Y Y Y Y 

VRC_DAGE7 AGE IN DAYS OF PROV-REPORTED VARICELLA-CONTAINING SHOT #7 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 Notes

VRC_DAGE8 AGE IN DAYS OF PROV-REPORTED VARICELLA-CONTAINING SHOT #8 Y Y Y Y Y 

VRC_DAGE9 AGE IN DAYS OF PROV-REPORTED VARICELLA-CONTAINING SHOT #9 Y Y Y Y Y 

VRC_HIST HISTORY OF CHICKEN POX REPORTED BY THE HOUSEHOLD OR BY 

ANY PROVIDER Y Y Y Y Y Y Y Y 

VRC_MAGE1 AGE IN MONTHS OF PROV-REPORTED VARICELLA-CONTAINING SHOT 

#1 Y Y Y Y Y 

VRC_MAGE2 AGE IN MONTHS OF PROV-REPORTED VARICELLA-CONTAINING SHOT 

#2 Y Y Y Y Y 

VRC_MAGE3 AGE IN MONTHS OF PROV-REPORTED VARICELLA-CONTAINING SHOT 

#3 Y Y Y Y Y 

VRC_MAGE4 AGE IN MONTHS OF PROV-REPORTED VARICELLA-CONTAINING SHOT 

#4 Y Y Y Y Y 

VRC_MAGE5 AGE IN MONTHS OF PROV-REPORTED VARICELLA-CONTAINING SHOT 

#5 Y Y Y Y Y 

VRC_MAGE6 AGE IN MONTHS OF PROV-REPORTED VARICELLA-CONTAINING SHOT 

#6 Y Y Y Y Y 

VRC_MAGE7 AGE IN MONTHS OF PROV-REPORTED VARICELLA-CONTAINING SHOT 

#7 Y Y Y Y Y 

VRC_MAGE8 AGE IN MONTHS OF PROV-REPORTED VARICELLA-CONTAINING SHOT 

#8 Y Y Y Y Y 

VRC_MAGE9 AGE IN MONTHS OF PROV-REPORTED VARICELLA-CONTAINING SHOT 

#9 Y Y Y Y Y 

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 

XFLUTY2 SEASONAL INFLUENZA VACCINATION IN PAST THREE YEARS #2 TYPE 

CODE 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 
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 Notes

XFLUTY4 SEASONAL INFLUENZA VACCINATION IN PAST THREE YEARS #4 TYPE 

CODE 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 

XFLUTY6 SEASONAL INFLUENZA VACCINATION IN PAST THREE YEARS #6 TYPE 

CODE 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 

XFLUTY8 SEASONAL INFLUENZA VACCINATION IN PAST THREE YEARS #8 TYPE 

CODE 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 

XH1NTY1 MONOVALENT 2009 H1N1 INFLUENZA VACCINATION #1 TYPE CODE Y Y Y 

XH1NTY2 MONOVALENT 2009 H1N1 INFLUENZA VACCINATION #2 TYPE CODE Y Y Y 

XH1NTY3 MONOVALENT 2009 H1N1 INFLUENZA VACCINATION #3 TYPE CODE Y Y Y 

XH1NTY4 MONOVALENT 2009 H1N1 INFLUENZA VACCINATION #4 TYPE CODE Y Y Y 

XH1NTY5 MONOVALENT 2009 H1N1 INFLUENZA VACCINATION #5 TYPE CODE Y Y Y 

XH1NTY6 MONOVALENT 2009 H1N1 INFLUENZA VACCINATION #6 TYPE CODE Y Y Y 

XH1NTY7 MONOVALENT 2009 H1N1 INFLUENZA VACCINATION #7 TYPE CODE Y Y Y 

XH1NTY8 MONOVALENT 2009 H1N1 INFLUENZA VACCINATION #8 TYPE CODE Y Y Y 

XH1NTY9 MONOVALENT 2009 H1N1 INFLUENZA VACCINATION #9 TYPE CODE Y Y Y 

XHEPATY1 HEPATITIS A-CONTAINING VACCINATION #1 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPATY2 HEPATITIS A-CONTAINING VACCINATION #2 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPATY3 HEPATITIS A-CONTAINING VACCINATION #3 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPATY4 HEPATITIS A-CONTAINING VACCINATION #4 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPATY5 HEPATITIS A-CONTAINING VACCINATION #5 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPATY6 HEPATITIS A-CONTAINING VACCINATION #6 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPATY7 HEPATITIS A-CONTAINING VACCINATION #7 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPATY8 HEPATITIS A-CONTAINING VACCINATION #8 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPATY9 HEPATITIS A-CONTAINING VACCINATION #9 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPBTY1 HEPATITIS B-CONTAINING VACCINATION #1 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPBTY2 HEPATITIS B-CONTAINING VACCINATION #2 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPBTY3 HEPATITIS B-CONTAINING VACCINATION #3 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPBTY4 HEPATITIS B-CONTAINING VACCINATION #4 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPBTY5 HEPATITIS B-CONTAINING VACCINATION #5 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPBTY6 HEPATITIS B-CONTAINING VACCINATION #6 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPBTY7 HEPATITIS B-CONTAINING VACCINATION #7 TYPE CODE Y Y Y Y Y Y Y Y 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

172

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

XHEPBTY8 HEPATITIS B-CONTAINING VACCINATION #8 TYPE CODE Y Y Y Y Y Y Y Y 

XHEPBTY9 HEPATITIS B-CONTAINING VACCINATION #9 TYPE CODE Y Y Y Y Y Y Y Y 

XMCVTY1 MEASLES-CONTAINING VACCINATION #1 TYPE CODE Y Y Y Y Y Y Y Y 

XMCVTY2 MEASLES-CONTAINING VACCINATION #2 TYPE CODE Y Y Y Y Y Y Y Y 

XMCVTY3 MEASLES-CONTAINING VACCINATION #3 TYPE CODE Y Y Y Y Y Y Y Y 

XMCVTY4 MEASLES-CONTAINING VACCINATION #4 TYPE CODE Y Y Y Y Y Y Y Y 

XMCVTY5 MEASLES-CONTAINING VACCINATION #5 TYPE CODE Y Y Y Y Y Y Y Y 

XMCVTY6 MEASLES-CONTAINING VACCINATION #6 TYPE CODE Y Y Y Y Y Y Y Y 

XMCVTY7 MEASLES-CONTAINING VACCINATION #7 TYPE CODE Y Y Y Y Y Y Y Y 

XMCVTY8 MEASLES-CONTAINING VACCINATION #8 TYPE CODE Y Y Y Y Y Y Y Y 

XMCVTY9 MEASLES-CONTAINING VACCINATION #9 TYPE CODE Y Y Y Y Y Y Y Y 

XMENTY1 MENINGOCOCCAL-CONTAINING VACCINATION #1 TYPE CODE Y Y Y Y Y Y Y Y 

XMENTY2 MENINGOCOCCAL-CONTAINING VACCINATION #2 TYPE CODE Y Y Y Y Y Y Y Y 

XMENTY3 MENINGOCOCCAL-CONTAINING VACCINATION #3 TYPE CODE Y Y Y Y Y Y Y Y 

XMENTY4 MENINGOCOCCAL-CONTAINING VACCINATION #4 TYPE CODE Y Y Y Y Y Y Y Y 

XMENTY5 MENINGOCOCCAL-CONTAINING VACCINATION #5 TYPE CODE Y Y Y Y Y Y Y Y 

XMENTY6 MENINGOCOCCAL-CONTAINING VACCINATION #6 TYPE CODE Y Y Y Y Y Y Y Y 

XMENTY7 MENINGOCOCCAL-CONTAINING VACCINATION #7 TYPE CODE Y Y Y Y Y Y Y Y 

XMENTY8 MENINGOCOCCAL-CONTAINING VACCINATION #8 TYPE CODE Y Y Y Y Y Y Y Y 

XMENTY9 MENINGOCOCCAL-CONTAINING VACCINATION #9 TYPE CODE Y Y Y Y Y Y Y Y 

XTDPTY1 TD/TDAP-CONTAINING VACCINATION #1 TYPE CODE Y Y Y Y Y Y Y Y 

XTDPTY2 TD/TDAP-CONTAINING VACCINATION #2 TYPE CODE Y Y Y Y Y Y Y Y 

XTDPTY3 TD/TDAP-CONTAINING VACCINATION #3 TYPE CODE Y Y Y Y Y Y Y Y 

XTDPTY4 TD/TDAP-CONTAINING VACCINATION #4 TYPE CODE Y Y Y Y Y Y Y Y 

XTDPTY5 TD/TDAP-CONTAINING VACCINATION #5 TYPE CODE Y Y Y Y Y Y Y Y 

XTDPTY6 TD/TDAP-CONTAINING VACCINATION #6 TYPE CODE Y Y Y Y Y Y Y Y 

XTDPTY7 TD/TDAP-CONTAINING VACCINATION #7 TYPE CODE Y Y Y Y Y Y Y Y 

XTDPTY8 TD/TDAP-CONTAINING VACCINATION #8 TYPE CODE Y Y Y Y Y Y Y Y 

XTDPTY9 TD/TDAP-CONTAINING VACCINATION #9 TYPE CODE Y Y Y Y Y Y Y Y 

XVRCTY1 VARICELLA-CONTAINING VACCINATION #1 TYPE CODE Y Y Y Y Y Y Y Y 

XVRCTY2 VARICELLA-CONTAINING VACCINATION #2 TYPE CODE Y Y Y Y Y Y Y Y 

XVRCTY3 VARICELLA-CONTAINING VACCINATION #3 TYPE CODE Y Y Y Y Y Y Y Y 

XVRCTY4 VARICELLA-CONTAINING VACCINATION #4 TYPE CODE Y Y Y Y Y Y Y Y 

XVRCTY5 VARICELLA-CONTAINING VACCINATION #5 TYPE CODE Y Y Y Y Y Y Y Y 

XVRCTY6 VARICELLA-CONTAINING VACCINATION #6 TYPE CODE Y Y Y Y Y Y Y Y 
Alphabetical Listing of Variables in the NIS-Teen Public-Use Data Files APPENDIX D 

173

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

XVRCTY7 VARICELLA-CONTAINING VACCINATION #7 TYPE CODE Y Y Y Y Y Y Y Y 

XVRCTY8 VARICELLA-CONTAINING VACCINATION #8 TYPE CODE Y Y Y Y Y Y Y Y 

XVRCTY9 VARICELLA-CONTAINING VACCINATION #9 TYPE CODE Y Y Y Y Y Y Y Y 

YEAR SAMPLING YEAR Y Y Y Y Y Y Y Y 
Summary Tables APPENDIX E 

174

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, 2015 

State/Estimation Area ESTIAPT15 

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* 20,819,526 43,926 21,875 49.80

Alabama 20 318,674 735 361 49.12

Alaska 74 46,141 719 350 48.68

Arizona 66 457,190 911 444 48.74

Arkansas 46 199,107 704 362 51.42

California 68 2,549,499 752 350 46.54

Colorado 60 347,668 721 354 49.10

Connecticut 1 236,879 715 358 50.07

Delaware 13 57,505 716 360 50.28

District of Columbia 12 25,315 878 418 47.61

Florida 22 1,173,544 731 321 43.91

Georgia 25 708,217 770 374 48.57

Hawaii 72 79,172 683 340 49.78

Idaho 75 121,710 674 356 52.82

Illinois 854,063 1,637 779 47.59

 IL-City of Chicago 35 152,885 558 283 50.72

 IL-Rest of State 34 701,178 1,079 496 45.97

Indiana 36 452,438 658 328 49.85

Iowa 56 203,164 716 383 53.49

Kansas 57 198,172 728 375 51.51

Kentucky 27 285,204 680 330 48.53

Louisiana 47 307,063 776 382 49.23

Maine 4 77,575 695 374 53.81

Maryland 14 380,246 884 403 45.59

Massachusetts 2 410,784 698 338 48.42

Michigan 38 661,834 724 373 51.52

Minnesota 40 355,066 760 366 48.16

Mississippi 28 206,954 777 364 46.85

Missouri 58 394,099 669 300 44.84

Montana 61 62,694 734 406 55.31

Nebraska 59 126,296 723 393 54.36

Nevada 73 187,816 791 372 47.03

New Hampshire 5 82,192 587 295 50.26

New Jersey 8 580,517 843 364 43.18

New Mexico 49 139,101 778 396 50.90

New York 1,192,326 1,504 665 44.22

 NY-City of New York 11 465,929 731 313 42.82

 NY-Rest of State 10 726,397 773 352 45.54

North Carolina 29 651,689 748 358 47.86

North Dakota 62 43,191 620 323 52.10

Ohio 41 769,044 713 332 46.56

Oklahoma 50 261,148 578 291 50.35
Summary Tables APPENDIX E 

175

State/Estimation Area ESTIAPT15 

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 76 242,729 671 353 52.61

Pennsylvania 781,529 1,668 832 49.88

 PA-Philadelphia County 17 90,692 667 340 50.97

 PA-Rest of State 16 690,836 1,001 492 49.15

Rhode Island 6 61,643 723 419 57.95

South Carolina 30 308,566 749 360 48.06

South Dakota 63 55,733 639 349 54.62

Tennessee 31 425,570 648 325 50.15

Texas 1,977,148 5,051 2,617 51.81

 TX-Bexar County 55 135,370 777 368 47.36

 TX-City of Houston 54 128,422 555 259 46.67

 TX-El Paso County 53 68,777 989 558 56.42

 TX-Hidalgo County 107 77,849 870 486 55.86

 TX-Rest of State 51 1,566,731 1,860 946 50.86

Utah 64 241,401 675 357 52.89

Vermont 7 36,547 690 404 58.55

Virginia 18 524,771 848 385 45.40

Washington 77 443,688 764 396 51.83

West Virginia 19 106,944 709 344 48.52

Wisconsin 44 373,951 670 365 54.48

Wyoming 65 36,011 691 331 47.90

U.S. Virgin Islands 95 7,230 780 458 58.72

Guam 105 14,510 690 419 60.72

Puerto Rico 106 235,623 847 339 40.02

* Excludes territories. 
Summary Tables APPENDIX E 

176

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

National Immunization Survey - Teen, 2015 

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 1,060 583,440 614 567,962

13 12 Years 1,443 868,570 730 841,655

13

>12, Non College 

Graduate 2,356 1,081,222 1,209 1,125,432

13 College Grad 3,730 1,526,953 1,923 1,573,890

14 <12 Years 1,074 575,155 646 621,014

14 12 Years 1,512 973,676 769 1,051,503

14

>12, Non College 

Graduate 2,409 1,049,853 1,176 962,206

14 College Grad 4,043 1,607,798 1,976 1,523,007

15 <12 Years 1,101 611,828 606 633,334

15 12 Years 1,513 950,430 694 918,647

15

>12, Non College 

Graduate 2,417 1,088,804 1,160 1,122,649

15 College Grad 3,958 1,639,583 1,985 1,690,440

16 <12 Years 1,028 519,488 586 502,264

16 12 Years 1,556 1,008,622 728 961,613

16

>12, Non College 

Graduate 2,427 1,102,174 1,185 1,135,394

16 College Grad 3,884 1,584,760 1,904 1,630,020

17 <12 Years 915 513,110 491 478,662

17 12 Years 1,492 962,941 714 990,791

17

>12, Non College 

Graduate 2,264 1,003,077 1,051 1,021,677

17 College Grad 3,744 1,568,041 1,728 1,467,367

Total 43,926 20,819,526 21,875 20,819,526

* Excludes territories. 

† Weighted by dual-frame weight RDDWT_D. 

§ Weighted by dual-frame weight PROVWT_D. 
Summary Tables APPENDIX E 

177

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

National Immunization Survey - Teen, 2015 

Age of 

Teen in 

Years Poverty Status

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Unweighted 

Completes

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Weighted 

Completes†

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Unweighted 

Completes

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Weighted 

Completes§

13

Above poverty, > 

$75K 3,641 1,469,395 1,914 1,514,072

13

Above poverty, <= 

$75K 2,814 1,349,963 1,443 1,418,604

13 Below poverty 1,655 962,944 980 974,020

13 Unknown 479 277,884 139 202,243

14

Above poverty, > 

$75K 3,874 1,570,996 1,956 1,477,906

14

Above poverty, <= 

$75K 2,951 1,346,022 1,438 1,377,477

14 Below poverty 1,629 965,756 1,003 985,351

14 Unknown 584 323,708 170 316,995

15

Above poverty, > 

$75K 3,886 1,601,015 1,957 1,658,496

15

Above poverty, <= 

$75K 2,939 1,416,831 1,421 1,459,343

15 Below poverty 1,598 978,647 917 1,012,433

15 Unknown 566 294,152 150 234,799

16

Above poverty, > 

$75K 3,803 1,569,869 1,894 1,615,995

16

Above poverty, <= 

$75K 3,018 1,436,928 1,468 1,459,247

16 Below poverty 1,510 901,037 886 910,782

16 Unknown 564 307,210 155 243,267

17

Above poverty, > 

$75K 3,712 1,538,518 1,795 1,543,863

17

Above poverty, <= 

$75K 2,814 1,388,886 1,278 1,352,162

17 Below poverty 1,316 836,378 758 830,617

17 Unknown 573 283,387 153 231,855

Total 43,926 20,819,526 21,875 20,819,526

* Excludes territories. 

† Weighted by dual-frame weight RDDWT_D. 

§ Weighted by dual-frame weight PROVWT_D. 
Summary Tables APPENDIX E 

178

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

National Immunization Survey - Teen, 2015 

Race/Ethnicity of 

Teen† Poverty Status

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS* 

Unweighted 

Completes

TEENS WITH 

COMPLETED 

HOUSEHOLD 

INTERVIEWS*

Weighted 

Completes§

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Unweighted 

Completes

TEENS WITH 

ADEQUATE 

PROVIDER 

DATA*

Weighted 

Completes¶

Hispanic

Above poverty, 

> $75K 1,869 889,027 921 893,475

Hispanic

Above poverty, 

<= $75K 2,874 1,511,077 1,441 1,503,460

Hispanic Below poverty 3,412 1,990,531 2,038 1,950,168

Hispanic Unknown 597 371,235 213 394,010

Non-Hispanic White 

Only

Above poverty, 

> $75K 14,007 5,502,133 7,174 5,607,901

Non-Hispanic White 

Only

Above poverty, 

<= $75K 8,416 3,646,133 4,035 3,679,226

Non-Hispanic White 

Only Below poverty 2,135 1,244,664 1,234 1,290,861

Non-Hispanic White 

Only Unknown 1,569 755,392 392 568,730

Non-Hispanic Black 

Only

Above poverty, 

> $75K 1,153 592,091 521 582,546

Non-Hispanic Black 

Only

Above poverty, 

<= $75K 1,738 1,107,132 818 1,169,688

Non-Hispanic Black 

Only Below poverty 1,352 978,188 797 1,015,223

Non-Hispanic Black 

Only Unknown 316 233,985 89 151,654

Non-Hispanic Other 

& Multiple Race

Above poverty, 

> $75K 1,887 766,543 900 726,409

Non-Hispanic Other 

& Multiple Race

Above poverty, 

<= $75K 1,508 674,288 754 714,459

Non-Hispanic Other 

& Multiple Race Below poverty 809 431,380 475 456,950

Non-Hispanic Other 

& Multiple Race Unknown 284 125,728 73 114,764

Total 43,926 20,819,526 21,875 20,819,526

* Excludes 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 

179

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

National Immunization Survey - Teen, 2015 

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 1,840 944,297 1,017 881,197

13 Non-Hispanic White Only 4,922 2,108,570 2,545 2,197,240

13 Non-Hispanic Black Only 914 620,374 441 608,721

13

Non-Hispanic Other & 

Multi-Racial 913 386,944 473 421,780

14 Hispanic 1,793 987,824 988 1,066,063

14 Non-Hispanic White Only 5,348 2,242,322 2,647 2,130,064

14 Non-Hispanic Black Only 924 578,061 468 573,899

14

Non-Hispanic Other & 

Multi-Racial 973 398,274 464 387,702

15 Hispanic 1,807 999,634 918 1,045,224

15 Non-Hispanic White Only 5,332 2,283,830 2,630 2,297,286

15 Non-Hispanic Black Only 935 578,557 443 576,997

15

Non-Hispanic Other & 

Multi-Racial 915 428,624 454 445,563

16 Hispanic 1,743 966,940 900 985,969

16 Non-Hispanic White Only 5,362 2,257,606 2,631 2,255,805

16 Non-Hispanic Black Only 909 572,318 445 582,893

16

Non-Hispanic Other & 

Multi-Racial 881 418,180 427 404,625

17 Hispanic 1,569 863,174 790 762,660

17 Non-Hispanic White Only 5,163 2,255,994 2,382 2,266,323

17 Non-Hispanic Black Only 877 562,086 428 576,601

17

Non-Hispanic Other & 

Multi-Racial 806 365,915 384 352,912

Total 43,926 20,819,526 21,875 20,819,526

* Excludes 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 

180

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

Immunization Survey - Teen, 2015 

Age of Teen 

in Years Gender

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 4,518 2,092,567 2,369 2,108,771

13 Female 4,071 1,967,619 2,107 2,000,167

14 Male 4,742 2,174,889 2,384 2,193,429

14 Female 4,296 2,031,593 2,183 1,964,300

15 Male 4,715 2,161,653 2,340 2,228,153

15 Female 4,274 2,128,993 2,105 2,136,917

16 Male 4,572 2,094,965 2,232 2,130,144

16 Female 4,323 2,120,079 2,171 2,099,147

17 Male 4,387 2,112,112 2,042 1,975,688

17 Female 4,028 1,935,057 1,942 1,982,809

Total 43,926 20,819,526 21,875 20,819,526

* Excludes territories. 

† Weighted by dual-frame weight RDDWT_D. 

§ Weighted by dual-frame weight PROVWT_D. 
Summary Tables APPENDIX E 

181

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, 2015 

BOTH 

SEXES

≥ 1 Td or 

Tdap¶

BOTH 

SEXES

≥ 1 Tdap**

BOTH 

SEXES

≥ 1 

MenACWY††

FEMALE

≥1 dose

HPV§§

FEMALE 

≥ 3 doses 

HPV¶¶

FEMALE

HPV 3 dose 

series 

completion***

MALE

≥1 dose 

HPV§§

MALE 

≥ 3 doses 

HPV¶¶

MALE

HPV 3 dose 

series 

completion***

 % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI)

US National††† 89.6(±0.8) 86.4(±1.0) 81.3(±1.0) 62.8(±1.8) 41.9(±1.8) 70.5(±2.2) 49.8(±1.8) 28.1(±1.6) 60.9(±2.7)

Alabama 94.6(±2.8) 93.3(±3.2) 72.1(±5.8) 57.7(±9.2) 40.8(±9.3) 73.3(±10.5) 39.4(±8.6) 22.6(±7.9) 60.6(±14.5)

Alaska 74.5(±5.5) 69.7(±5.8) 55.7(±6.2) 57.0(±8.7) 36.9(±8.4) 71.3(±11.3) 41.6(±8.5) 18.8(±6.4) 47.9(±13.7)

Arizona 88.4(±3.6) 86.6(±3.8) 87.6(±3.8) 68.3(±7.4) 44.2(±8.3) 68.0(±9.6) 51.3(±8.2) 27.0(±7.3) 56.8(±12.4)

Arkansas 91.9(±3.3) 91.2(±3.4) 81.5(±4.6) 63.5(±8.4) 34.0(±8.4) 57.3(±11.6) 44.2(±8.1) 16.4(±5.8) 41.5(±12.6)

California 88.3(±4.6) 82.5(±5.6) 77.2(±5.9) 66.7(±9.6) 48.4(±9.9) 73.8(±10.6) 58.5(±9.8) 29.5(±9.0) 53.8(±13.3)

Colorado 95.3(±2.2) 93.3(±2.9) 85.6(±4.3) 65.3(±8.2) 46.0(±8.7) 72.9(±10.4) 63.2(±8.4) 37.1(±8.8) 62.0(±12.1)

Connecticut 95.3(±2.6) 93.7(±3.0) 93.5(±3.1) 70.9(±8.2) 55.2(±9.1) 80.8(±8.4) 65.3(±7.8) 42.0(±8.3) 67.8(±9.7)

Delaware 90.4(±3.6) 88.7(±3.8) 87.5(±4.1) 67.6(±8.4) 52.8(±9.1) 80.7(±9.6) 62.9(±7.6) 43.0(±8.0) 74.2(±9.5)

Dist. of Columbia 87.4(±4.1) 81.3(±5.0) 90.9(±3.4) 76.5(±7.7) 58.8(±9.2) 80.9(±9.1) 73.0(±7.8) 40.9(±8.7) 63.3(±10.8)

Florida 90.1(±4.5) 87.3(±4.9) 70.4(±6.4) 62.5(±9.6) 36.8(±9.3) 61.3(±13.1) 45.3(±9.9) 19.8(±6.9) 48.0(±14.8)

Georgia 91.6(±3.8) 90.2(±4.0) 87.0(±4.6) 54.4(±9.5) 32.3(±8.4) 66.5(±11.7) 51.0(±8.5) 27.5(±7.6) 56.4(±11.7)

Hawaii 82.1(±4.7) 79.6(±4.9) 78.7(±5.0) 71.3(±8.0) 52.4(±8.8) 78.5(±9.1) 62.5(±8.0) 36.2(±8.1) 62.7(±11.1)

Idaho 84.3(±5.0) 82.5(±5.2) 81.4(±5.2) 57.3(±8.9) 30.3(±8.2) 54.6(±12.6) 44.2(±8.9) 26.4(±7.9) 62.5(±13.2)

Illinois 91.4(±2.7) 89.1(±3.0) 79.0(±3.8) 62.0(±5.9) 40.2(±6.0) 68.4(±7.5) 44.3(±6.3) 26.8(±5.6) 64.5(±9.5)

IL-City of Chicago 90.4(±4.0) 87.2(±4.7) 82.8(±5.1) 70.8(±8.2) 47.7(±9.6) 71.7(±11.0) 68.1(±9.0) 41.6(±9.7) 65.5(±11.9)

IL-Rest of State 91.6(±3.2) 89.5(±3.5) 78.1(±4.4) 60.0(±7.0) 38.6(±7.0) 67.5(±9.0) 39.1(±7.4) 23.6(±6.4) 64.1(±12.2)

Indiana 91.8(±3.6) 89.7(±4.0) 92.3(±3.4) 53.7(±9.0) 30.9(±8.0) 62.9(±12.3) 43.2(±9.0) 27.5(±8.1) 67.8(±13.4)

Iowa 89.6(±4.0) 85.5(±4.6) 75.0(±5.3) 66.7(±8.0) 49.8(±8.6) 77.6(±8.8) 48.0(±8.7) 23.9(±7.2) 59.0(±13.2)

Kansas 89.6(±3.8) 87.3(±4.2) 63.7(±5.9) 50.9(±8.8) 31.7(±8.0) 66.3(±11.4) 36.0(±8.1) 18.5(±6.7) 55.6(±14.9)

Kentucky 86.1(±4.4) 84.0(±4.7) 79.0(±5.2) 57.4(±8.6) 36.2(±8.5) 69.4(±11.4) 34.8(±8.2) 17.1(±6.1) 54.0(±14.9)

Louisiana 93.5(±2.9) 91.0(±3.4) 90.9(±3.6) 60.3(±8.6) 39.3(±8.8) 65.7(±11.3) 49.5(±7.9) 30.5(±7.4) 69.8(±11.2)

Maine 91.0(±3.3) 87.7(±4.0) 77.7(±5.3) 66.0(±8.3) 44.1(±8.6) 72.0(±10.0) 65.8(±7.9) 46.7(±8.4) 77.3(±9.9)

Maryland 88.8(±4.3) 86.5(±4.5) 87.3(±4.4) 66.0(±9.0) 43.7(±9.3) 69.0(±11.3) 55.0(±9.4) 31.3(±8.9) 62.4(±13.4)

Massachusetts 93.5(±3.3) 91.2(±4.1) 89.5(±4.4) 73.5(±8.6) 52.8(±9.7) 81.2(±9.6) 63.0(±8.8) 35.2(±8.5) 63.6(±12.2)

Michigan 76.1(±5.4) 74.0(±5.5) 95.0(±2.5) 67.6(±8.3) 47.2(±9.2) 78.2(±9.3) 52.3(±8.3) 28.6(±7.2) 60.2(±11.8)

Minnesota 92.6(±3.4) 90.4(±3.9) 83.6(±4.8) 65.5(±8.8) 44.5(±8.8) 72.1(±9.2) 57.1(±8.7) 22.4(±6.6) 45.3(±11.8)

Mississippi 76.8(±5.2) 74.7(±5.3) 55.3(±6.0) 52.4(±8.0) 24.4(±6.6) 48.4(±11.2) 38.9(±8.9) 21.4(±8.0) 59.0(±15.2)

Missouri 86.6(±4.8) 85.7(±4.9) 69.7(±6.5) 59.3(±10.0) 31.5(±9.7) 57.2(±14.9) 44.7(±9.8) 25.1(±9.1) 61.2(±15.6)

Montana 91.2(±3.2) 89.5(±3.7) 65.8(±5.4) 55.0(±8.5) 34.8(±8.0) 69.0(±11.2) 46.0(±8.0) 21.7(±6.8) 52.7(±12.9)
Summary Tables APPENDIX E 

182

BOTH 

SEXES

≥ 1 Td or 

Tdap¶

BOTH 

SEXES

≥ 1 Tdap**

BOTH 

SEXES

≥ 1 

MenACWY††

FEMALE

≥1 dose

HPV§§

FEMALE 

≥ 3 doses 

HPV¶¶

FEMALE

HPV 3 dose 

series 

completion***

MALE

≥1 dose 

HPV§§

MALE 

≥ 3 doses 

HPV¶¶

MALE

HPV 3 dose 

series 

completion***

 % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI)

Nebraska 90.5(±3.7) 87.7(±4.1) 78.1(±4.8) 67.3(±7.9) 48.2(±8.6) 75.1(±9.9) 54.3(±7.9) 32.2(±7.2) 61.8(±10.6)

Nevada 89.3(±4.1) 88.3(±4.3) 78.0(±5.3) 72.0(±7.8) 42.5(±9.2) 61.3(±11.3) 44.5(±8.8) 23.7(±7.2) 58.9(±13.0)

New Hampshire 94.3(±3.4) 92.4(±3.9) 87.7(±4.4) 74.2(±8.8) 51.4(±10.0) 74.8(±11.0) 69.8(±7.9) 47.1(±9.1) 72.4(±10.8)

New Jersey 95.1(±2.5) 87.2(±4.4) 95.7(±2.4) 69.0(±7.8) 45.0(±8.8) 70.8(±10.8) 50.9(±8.8) 30.9(±8.3) 63.4(±12.0)

New Mexico 91.4(±3.4) 85.9(±4.2) 72.5(±5.3) 66.7(±7.6) 40.6(±7.5) 65.5(±9.2) 54.3(±8.5) 40.3(±8.2) 77.7(±9.9)

New York 91.7(±2.6) 89.0(±2.9) 86.2(±3.1) 62.3(±6.4) 47.3(±6.6) 83.4(±6.1) 60.3(±6.1) 38.1(±5.8) 68.3(±7.8)

NY-City of New York 92.0(±3.4) 90.6(±3.5) 84.8(±4.6) 65.3(±8.7) 46.1(±9.3) 78.7(±10.5) 72.3(±7.4) 47.9(±8.7) 70.8(±10.5)

NY-Rest of State 91.5(±3.7) 88.0(±4.2) 87.1(±4.0) 60.3(±8.8) 48.0(±9.1) 86.6(±7.2) 52.6(±8.5) 31.7(±7.6) 66.1(±11.5)

North Carolina 94.3(±2.7) 93.4(±3.0) 78.5(±5.1) 65.7(±8.5) 37.8(±8.7) 59.6(±11.4) 48.0(±8.6) 29.8(±8.0) 66.2(±12.2)

North Dakota 90.4(±4.4) 88.9(±4.5) 91.6(±4.0) 70.5(±8.2) 47.1(±9.1) 71.7(±10.8) 62.3(±8.9) 38.4(±8.6) 72.1(±10.9)

Ohio 90.0(±4.6) 86.7(±5.1) 76.1(±6.0) 61.0(±9.9) 37.8(±9.4) 67.2(±12.0) 43.7(±9.0) 21.0(±6.7) 53.2(±14.1)

Oklahoma 86.3(±4.6) 84.4(±4.8) 68.1(±6.4) 58.1(±10.0) 32.2(±9.1) 57.2(±13.3) 52.9(±8.9) 35.7(±8.9) 69.6(±11.4)

Oregon 91.4(±3.5) 89.4(±3.8) 75.2(±5.5) 70.0(±8.1) 48.9(±9.0) 73.2(±9.9) 58.6(±8.4) 35.7(±8.5) 64.5(±11.4)

Pennsylvania 94.0(±2.2) 91.7(±2.7) 94.7(±2.1) 62.2(±7.7) 47.8(±7.7) 79.6(±7.7) 55.9(±7.1) 38.3(±6.9) 72.3(±7.8)

PA-Philadelphia 90.9(±3.5) 86.1(±4.6) 91.2(±3.5) 79.3(±6.8) 58.6(±8.5) 79.1(±7.4) 79.5(±7.1) 43.4(±9.1) 57.7(±10.6)

PA-Rest of State 94.4(±2.5) 92.5(±3.0) 95.2(±2.3) 60.0(±8.6) 46.4(±8.7) 79.6(±8.9) 52.8(±8.0) 37.7(±7.8) 75.2(±9.0)

Rhode Island 98.0(±1.3) 97.1(±1.6) 97.7(±1.5) 87.9(±4.9) 68.0(±7.4) 83.0(±6.8) 80.6(±5.8) 58.1(±7.4) 80.8(±6.8)

South Carolina 82.4(±5.2) 77.8(±5.5) 69.0(±5.9) 53.7(±9.0) 34.3(±8.5) 71.9(±11.6) 35.1(±8.3) 21.0(±7.5) 64.0(±13.8)

South Dakota 75.6(±5.5) 72.4(±5.8) 55.5(±6.3) 53.2(±9.1) 32.4(±8.7) 65.2(±12.2) 39.2(±8.5) 22.0(±7.2) 62.7(±14.0)

Tennessee 85.9(±4.8) 79.7(±5.4) 76.7(±5.6) 59.7(±8.7) 38.9(±8.8) 67.5(±11.6) 38.2(±8.9) 16.0(±6.7) 45.7(±15.6)

Texas 89.2(±2.2) 85.1(±2.6) 89.6(±2.2) 60.1(±5.1) 40.9(±5.0) 70.7(±5.9) 41.4(±4.8) 24.0(±3.8) 61.1(±6.9)

TX-Bexar County 87.5(±4.4) 85.7(±4.5) 88.5(±4.3) 56.2(±8.5) 32.8(±8.2) 61.7(±11.5) 40.3(±9.0) 19.9(±7.2) 51.5(±15.1)

TX-City of Houston 86.4(±5.0) 83.3(±5.3) 87.2(±4.8) 66.9(±10.1) 42.8(±10.8) 64.0(±13.5) 58.6(±9.6) 22.7(±8.0) 39.3(±12.9)

TX-El Paso County 86.7(±3.6) 83.4(±3.9) 85.5(±3.8) 75.4(±6.6) 52.2(±7.4) 70.9(±7.9) 60.7(±7.2) 34.4(±6.6) 57.8(±9.2)

TX-Hidalgo County 85.5(±3.7) 81.3(±4.0) 88.8(±3.3) 66.9(±6.7) 40.7(±7.0) 62.3(±8.7) 52.3(±7.3) 34.1(±6.8) 68.3(±9.4)

TX-Rest of State 89.9(±2.6) 85.4(±3.2) 90.1(±2.7) 58.9(±6.4) 41.0(±6.3) 72.6(±7.5) 38.7(±5.8) 23.5(±4.7) 64.5(±9.0)

Utah 83.6(±5.0) 82.0(±5.2) 71.5(±5.8) 47.8(±9.4) 24.6(±7.7) 55.7(±13.9) 40.9(±8.9) 19.9(±7.6) 50.2(±15.3)

Vermont 97.1(±1.9) 95.8(±2.4) 84.4(±4.3) 68.7(±8.1) 54.4(±8.4) 83.9(±7.1) 66.1(±7.6) 41.1(±7.8) 69.2(±9.4)

Virginia 85.7(±6.1) 82.2(±6.4) 66.8(±7.7) 61.2(±11.1) 38.5(±11.0) 66.2(±15.5) 40.1(±10.6) 25.7(±9.3) 73.8(±16.1)

Washington 89.3(±3.9) 85.3(±4.5) 75.4(±5.1) 65.8(±8.1) 45.1(±8.4) 72.7(±8.8) 46.8(±8.0) 28.0(±7.1) 64.0(±11.1)

West Virginia 87.8(±3.9) 85.8(±4.1) 86.0(±4.3) 62.0(±8.6) 39.2(±8.6) 64.8(±11.0) 45.3(±8.5) 27.1(±7.6) 61.9(±13.0)

Wisconsin 91.5(±3.5) 88.0(±4.1) 81.6(±4.6) 60.5(±8.7) 47.3(±8.9) 83.4(±7.9) 46.4(±8.1) 33.5(±7.8) 78.4(±10.0)
Summary Tables APPENDIX E 

183

BOTH 

SEXES

≥ 1 Td or 

Tdap¶

BOTH 

SEXES

≥ 1 Tdap**

BOTH 

SEXES

≥ 1 

MenACWY††

FEMALE

≥1 dose

HPV§§

FEMALE 

≥ 3 doses 

HPV¶¶

FEMALE

HPV 3 dose 

series 

completion***

MALE

≥1 dose 

HPV§§

MALE 

≥ 3 doses 

HPV¶¶

MALE

HPV 3 dose 

series 

completion***

 % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI)

Wyoming 90.8(±3.4) 87.9(±4.1) 58.7(±6.4) 47.7(±9.6) 26.5(±8.7) 64.0(±14.9) 37.1(±8.8) 18.8(±6.9) 56.9(±16.2)

U.S. Virgin Islands 83.1(±3.9) 82.0(±4.0) 56.0(±5.4) 40.4(±7.7) 16.4(±5.9) 47.2(±13.4) 35.5(±7.1) 11.8(±4.6) 41.2(±13.1)

Guam 82.8(±4.3) 79.6(±4.6) 76.2(±4.8) 68.9(±7.8) 37.0(±7.9) 56.2(±10.2) 52.2(±7.8) 22.4(±6.4) 45.0(±11.0)

Puerto Rico 87.2(±4.5) 82.5(±5.2) 87.9(±4.3) 77.4(±7.8) 42.0(±9.4) 55.7(±11.4) 68.1(±8.6) 30.8(±8.7) 46.9(±11.4)

* 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 2015 NIS-Teen were born between January 1997 and February 2003. 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 of 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, either 9-valent (9vHPV), quadrivalent (4vHPV), or bivalent (2vHPV). Some adolescents may have received more than the three 

recommended HPV doses. 

*** Percent who received three or more HPV vaccine doses among those who had at least one HPV dose and at least 24 weeks between the first dose and the interview date.

††† Excludes territories. 
Vaccine Type Codes APPENDIX F 

184

Appendix F: Vaccine Type Codes 

Table F.1: Vaccine Type Codes, National Immunization Survey - Teen, 2015

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-containing, unknown subtype

9V Human Papillomavirus, Gardasil (9-valent)

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

VA Varicella-containing, unknown subtype

VM MMR-Varicella

VO Varicella-only
Vaccine Type Codes APPENDIX F 

185

Vaccine Code Description

UV Human Papillomavirus, Gardasil (unknown valency)
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2015 APPENDIX G 

 186

Appendix G: Trends in the NIS-Teen Response Rates and 

Vaccination Coverage Rates, 2006-2015 

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

Survey Year, National Immunization Survey - Teen, 2006-2015†

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

* For the definitions of the key indicators see Table 1 of NIS-Teen Data User’s Guides for the survey year of interest.

† Excludes territories. 

§ In 2006 and 2007, NIS-Teen was conducted only in Quarter 4.
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2015 APPENDIX G 

 187

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

Collection by Survey Year, National Immunization Survey - Teen, 2006-2015* 

 

* Excludes 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, 2006-2015 APPENDIX G 

 188

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

Survey Year, National Immunization Survey - Teen, 2011-2015†

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

* For the definitions of the key indicators see Table 1 of NIS-Teen Data User’s Guides for the survey year of interest.

† Excludes 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, 2011-2015* 

* Excludes territories. 
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2015 APPENDIX G 

 189

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.

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, 2006-2015 APPENDIX G 

 190

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

Year, National Immunization Survey - Teen, 2011-2015*

Survey Year†

CASRO Response Rate 

(%) 

2011 22.4

2012 23.6

2013 23.3

2014 31.2

2015 29.8

* Excludes 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, 2011-2015*

* Excludes territories.

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 2015. Note 

that these data apply to the landline sample only from 2006-2010, and to the dual-frame sample from 

2011 forward.
Trends in the NIS-Teen Response Rates and Vaccination Coverage Rates, 2006-2015 APPENDIX G 

 191

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

Immunization Survey - Teen, 2006-2015* 

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 N.A. N.A. 86.9 81.3 69.9 N.A

2007††† 72.3 30.4 32.4 25.1 N.A. 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

* Excludes 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, 2006-2015 APPENDIX G 

 192

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, 2006-2015* 

 

* Excludes 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. 
Key NIS-Teen Response Rates by Area APPENDIX H 

 193

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, 2015 

State/Estimation Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Teens with 

Adequate Provider 

Data (%)

U.S. National† 82.2 84.4 81.3 56.4 53.4

Alabama 83.6 84.8 77.2 54.7 59.7

Alaska 88.0 83.7 88.9 65.5 46.7

Arizona 83.5 85.3 83.4 59.4 52.9

Arkansas 85.7 87.5 83.0 62.3 56.3

California 81.1 81.4 80.1 52.9 52.9

Colorado 84.0 83.8 81.5 57.4 52.7

Connecticut 77.2 82.5 78.6 50.0 53.9

Delaware 71.5 82.8 76.2 45.1 51.5

District of Columbia 82.1 84.9 80.4 56.0 49.8

Florida 81.8 84.8 73.4 50.9 45.9

Georgia 82.8 82.6 80.1 54.8 53.7

Hawaii 85.6 82.3 73.3 51.7 54.2

Idaho 86.5 86.9 82.7 62.2 57.4

Illinois 86.3 83.9 80.3 58.1 47.6

 IL-City of Chicago 86.7 83.5 78.0 56.5 50.9

 IL-Rest of State 84.3 85.3 86.4 62.1 40.0

Indiana 85.8 87.8 80.2 60.4 49.7

Iowa 87.4 88.6 88.7 68.7 48.0

Kansas 85.5 86.9 87.9 65.3 55.2

Kentucky 83.6 87.2 83.2 60.7 53.1

Louisiana 84.9 84.4 85.4 61.2 56.3

Maine 81.7 88.7 84.6 61.3 57.0

Maryland 77.7 82.9 82.9 53.5 58.5

Massachusetts 74.0 81.7 84.0 50.8 48.0

Michigan 84.3 85.7 82.2 59.4 59.2

Minnesota 85.3 86.0 79.6 58.4 55.1

Mississippi 85.8 83.8 77.1 55.5 37.8

Missouri 84.3 85.5 87.3 62.9 48.0

Montana 86.7 88.0 82.5 62.9 52.1

Nebraska 84.1 85.1 86.7 62.1 62.0

Nevada 78.7 84.8 81.3 54.2 51.1
Key NIS-Teen Response Rates by Area APPENDIX H 

 194

State/Estimation Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Teens with 

Adequate Provider 

Data (%)

New Hampshire 78.1 85.4 80.9 54.0 48.3

New Jersey 76.1 79.5 78.0 47.2 46.3

New Mexico 86.6 86.6 81.2 60.9 58.5

New York 76.8 78.9 73.8 44.7 41.6

 NY-City of New York 76.5 78.2 70.8 42.3 41.7

 NY-Rest of State 77.5 80.3 78.4 48.8 41.5

North Carolina 81.1 84.7 83.5 57.3 46.3

North Dakota 87.9 88.3 89.5 69.5 55.5

Ohio 83.9 85.0 82.9 59.1 56.2

Oklahoma 84.5 85.7 75.6 54.7 51.4

Oregon 86.0 87.2 85.1 63.8 57.4

Pennsylvania 74.6 84.0 79.4 49.8 53.5

 PA-Philadelphia County 73.6 83.1 71.4 43.6 54.2

 PA-Rest of State 75.9 84.9 85.2 54.9 53.1

Rhode Island 69.2 83.9 80.9 46.9 63.8

South Carolina 82.4 85.4 78.2 55.0 59.0

South Dakota 88.6 86.8 86.3 66.4 59.5

Tennessee 84.2 87.2 87.2 64.0 53.3

Texas 84.5 82.8 78.3 54.8 55.5

 TX-Bexar County 82.2 83.8 81.3 56.0 54.5

 TX-City of Houston 85.8 81.2 74.6 51.9 56.9

 TX-El Paso County 84.9 84.4 81.8 58.5 56.7

 TX-Hidalgo County 85.0 81.0 72.5 49.9 58.5

 TX-Rest of State 83.5 83.8 81.6 57.1 50.8

Utah 86.0 82.0 82.5 58.2 61.3

Vermont 81.4 87.1 89.3 63.3 63.8

Virginia 78.8 85.2 81.8 55.0 50.6

Washington 83.7 84.8 84.8 60.2 60.4

West Virginia 77.1 87.0 87.6 58.7 53.9

Wisconsin 82.9 86.9 86.0 62.0 66.4

Wyoming 85.8 87.0 85.7 64.0 51.3

U.S. Virgin Islands 92.0 89.6 84.5 69.6 61.5

Guam 91.5 81.3 70.1 52.1 60.2

Puerto Rico 90.0 90.3 71.1 57.8 42.3

* For the definition of the key indicators see Table 1.

† Excludes territories.
Key NIS-Teen Response Rates by Area APPENDIX H 

 195

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

Immunization Survey - Teen, 2015 

Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Children with 

Adequate Provider 

Data (%)

U.S. National† 56.6 73.4 71.7 29.8 48.9

Alabama 60.2 73.3 71.9 31.7 46.9

Alaska 77.8 77.2 76.3 45.8 49.1

Arizona 51.3 73.9 69.4 26.3 47.1

Arkansas 64.5 75.5 71.5 34.8 50.7

California 51.2 71.9 68.9 25.4 42.9

Colorado 53.8 72.2 71.7 27.9 47.9

Connecticut 42.0 71.8 69.2 20.9 48.9

Delaware 48.3 73.2 74.3 26.2 50.0

District of Columbia 53.7 73.9 72.2 28.7 46.4

Florida 51.2 72.9 65.8 24.6 43.4

Georgia 55.3 73.8 72.2 29.5 47.6

Hawaii 51.4 70.8 68.3 24.8 48.9

Idaho 52.2 74.9 77.9 30.5 51.7

Illinois 61.8 74.2 70.6 32.4 47.6

 IL-City of Chicago 67.3 74.2 69.1 34.5 50.6

 IL-Rest of State 58.7 74.2 71.4 31.1 46.6

Indiana 54.2 75.7 75.3 30.9 49.9

Iowa 58.2 78.1 75.4 34.3 54.7

Kansas 69.5 75.2 75.6 39.5 50.6

Kentucky 57.4 73.9 71.3 30.2 47.8

Louisiana 64.6 73.2 70.1 33.2 47.7

Maine 52.0 77.1 72.6 29.1 53.0

Maryland 53.1 71.3 69.7 26.4 42.5

Massachusetts 50.6 72.2 72.1 26.3 48.6

Michigan 58.3 75.0 72.0 31.5 49.6

Minnesota 54.0 74.3 74.6 29.9 46.9

Mississippi 63.2 74.0 69.2 32.4 48.6

Missouri 59.2 75.2 76.5 34.0 44.6

Montana 61.9 78.3 77.1 37.4 56.1

Nebraska 63.9 75.9 74.8 36.3 52.1

Nevada 53.3 72.4 71.5 27.6 45.0
Key NIS-Teen Response Rates by Area APPENDIX H 

 196

Area Resolution 

Rate (%)

Screener 

Completion 

Rate (%)

Interview 

Completion 

Rate (%)

CASRO 

Response 

Rate (%)

Children with 

Adequate Provider 

Data (%)

New Hampshire 48.6 74.4 74.1 26.8 50.6

New Jersey 48.5 70.6 63.4 21.7 42.2

New Mexico 59.7 74.9 73.6 32.9 49.0

New York 50.8 71.7 65.7 23.9 45.1

 NY-City of New York 53.0 70.9 61.0 22.9 43.3

 NY-Rest of State 47.8 72.9 71.9 25.1 46.6

North Carolina 54.0 72.2 67.9 26.5 48.2

North Dakota 66.6 77.5 73.3 37.8 51.2

Ohio 52.2 73.8 71.4 27.5 44.1

Oklahoma 63.9 73.5 76.2 35.8 50.2

Oregon 51.6 76.6 75.7 29.9 50.9

Pennsylvania 51.2 71.4 70.5 25.7 49.0

 PA-Philadelphia County 51.4 71.1 69.8 25.5 50.3

 PA-Rest of State 46.6 75.7 81.1 28.6 48.1

Rhode Island 47.0 72.7 73.8 25.2 55.9

South Carolina 54.2 73.0 68.6 27.1 45.7

South Dakota 63.2 77.2 77.5 37.8 53.4

Tennessee 54.6 74.9 74.4 30.4 49.7

Texas 58.4 69.4 68.3 27.7 51.1

 TX-Bexar County 56.9 71.5 71.6 29.2 46.0

 TX-City of Houston 52.8 69.2 69.0 25.3 44.2

 TX-El Paso County 56.2 69.6 68.9 26.9 56.3

 TX-Hidalgo County 65.3 67.5 65.2 28.8 55.2

 TX-Rest of State 56.3 72.7 64.3 26.3 50.9

Utah 58.0 70.9 77.2 31.7 50.0

Vermont 49.2 76.9 76.5 28.9 56.9

Virginia 52.3 74.0 74.0 28.6 44.0

Washington 48.9 74.5 74.6 27.2 49.9

West Virginia 57.5 74.0 72.9 31.0 47.2

Wisconsin 58.5 75.5 74.5 32.9 51.9

Wyoming 78.1 77.7 77.1 46.8 46.9

U.S. Virgin Islands 78.4 79.6 66.5 41.5 57.9

Guam 61.9 69.5 52.6 22.6 61.0

Puerto Rico 69.3 80.5 66.9 37.4 39.4

* For the definition of the key indicators see Table 1.

† Excludes territories. 
Key NIS-Teen Response Rates by Area APPENDIX H 

 197

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

Estimation Area, National Immunization Survey - Teen, 2015

Area CASRO Response Rate 

(%)

U.S. National† 32.9

Alabama 34.3

Alaska 48.5

Arizona 31.2

Arkansas 36.7

California 33.2

Colorado 32.3

Connecticut 24.0

Delaware 28.2

District of Columbia 31.3

Florida 28.1

Georgia 32.0

Hawaii 27.0

Idaho 33.7

Illinois 35.5

 IL-City of Chicago 39.7

 IL-Rest of State 32.7

Indiana 35.6

Iowa 37.6

Kansas 42.9

Kentucky 32.5

Louisiana 35.9

Maine 32.6

Maryland 39.1

Massachusetts 31.4

Michigan 34.9

Minnesota 32.6

Mississippi 34.7

Missouri 35.2

Montana 40.5

Nebraska 39.9

Nevada 32.7

New Hampshire 28.9

New Jersey 25.3
Key NIS-Teen Response Rates by Area APPENDIX H 

 198

Area CASRO Response Rate 

(%)

New Mexico 36.5

New York 26.9

 NY-City of New York 26.0

 NY-Rest of State 28.1

North Carolina 29.2

North Dakota 41.3

Ohio 31.2

Oklahoma 37.3

Oregon 34.7

Pennsylvania 28.4

 PA-Philadelphia County 26.5

 PA-Rest of State 43.1

Rhode Island 28.3

South Carolina 29.8

South Dakota 41.3

Tennessee 32.4

Texas 30.1

 TX-Bexar County 30.9

 TX-City of Houston 26.8

 TX-El Paso County 30.3

 TX-Hidalgo County 30.3

 TX-Rest of State 49.2

Utah 36.1

Vermont 33.1

Virginia 34.9

Washington 30.5

West Virginia 34.0

Wisconsin 35.9

Wyoming 49.6

U.S. Virgin Islands 45.6

Guam 28.0

Puerto Rico 40.2

* For the definition of the CASRO response rate for the combined landline and cell-phone samples, see footnote 6 of Table 1.

† Excludes territories.