-

 

Robert Wood Johnson Foundation
= shadac

STATE HEALTH ACCESS DATA ASSISTANCE CENTER

Collection and Availability of Data on Race, Ethnicity
and Immigrant Groups in Federal Surveys that Measure
Health Insurance Coverage and Access to Care

INTRODUCTION

Measurement of race and ethnicity is a critical component of research used to
inform policy. However, the standards for measuring race and ethnicity are often
confusing for analysts. This brief is intended to assist state and federal analysts with
survey development and/or analysis of existing survey data to generate estimates
of health insurance coverage and access to care across racial and ethnic groups
and according to nativity and/or immigrant status. We discuss the collection and
classification of survey data for populations defined by race, ethnicity, and nativity/
immigrant status and the availability of these data in public use files.

This brief focuses on surveys that are conducted by federal agencies and that collect
information about health insurance coverage and access to care on an annual

or periodic basis for the general population of the United States. While tracking
national trends is important, policy decisions and funding priorities are typically
made at the state and local level. Thus, our emphasis will be on federal sources that
afford both national and state-level estimates through public use files. Selected
surveys and their associated agencies are listed in Exhibit 1.

Exhibit 1. Federal Surveys Examined in this Issue Brief

eetea Mort National Center for J Centers for Disease Agency for Healthcare
Health Statistics Control and Prevention §j Research and Quality

American Community Survey (ACS) National Health Behavioral Risk Factor Medical Expenditure Panel
Current Population Survey (CPS) Interview Survey Surveillance System Survey-Household Com-

NHIS BRFSS t (MEPS
National Survey of Children's Health (NSCH) ponent (

Survey of Income and Program
Participation (SIPP)

  

 

Note: The Census Bureau's COVID-19-related Household Pulse Survey (HPS) also provides estimates of insurance coverage at the state level. However, we did
not include the HPS in this analysis as it is scheduled to be discontinued after October 2021.

Background
Standards for the collection and classification of race and ethnicity in federal surveys were first developed by the Office of
Management and Budget (OMB) in 1977 and were revised in 1997. These standards were not meant to define the concepts

of race or ethnicity; they were intended only to establish uniform guidelines for collecting and publishing data on race and
ethnicity across federal agencies.

Major 1997 OMB directives related to collecting data on race and ethnicity were threefold:

1) Rely on self-identification of race and ethnicity rather than on interviewer observation;
2) Include two separate questions on race and ethnicity, with ethnicity coming first; and
3) Allow for identification of more than one race.

State Health Access Data Assistance Center 1
Collection and Availability of Data on Race, Ethnicity and Immigrant Groups in

Federal Surveys that Measure Health Insurance Coverage and Access to Care

 

It is important to note that the OMB standards represent minimum requirements, and

surveys can collect more detailed information as long as these basic standards are Sl

met. As a result, while all federal surveys are governed by the same OMB guidelines, Maite Laine tascam
many surveys-including the ones examined here-implement these guidelines guidelines in "Collection of Race
differently, resulting in race and ethnicity data that are not always comparable across Ethnicity, Language (REL) Data in
surveys. In addition, the U.S. Census Bureau research has specified optimal ways of Medicaid Applications," prepared
collecting race and ethnicity information that do not always agree with the OMB by SHADAC for State Health & Value

 

standards; for instance, the race/ethnicity optimal question format should, according Seley

to Census Bureau recommendations, be in one question rather than two (Matthews

et al., 2017). The surveys in this brief also differ from one another on design components such as target population, sample
design and size, and year and frequency of data collection. Exhibit 2 provides an overview of each survey with respect to fre-
quency of data collection, target population, the most recent public use data available, and overall sample size.

Exhibit 2. Public Use Data Files Examined in this Brief

Most Recent Total Unweighted State Data Available
Year of Data Sample Size'? in Public Use Files

Periodicity Target Population

 

Civilian, non-institutionalized
U.S. population

BRFSS Annual U.S. children > 18 years 2019 416,193 Yes

Civilian, non-institutionalized

ACS Annual 2019 3,239,553 Yes

CPS Annual U.S. population 2019 157,681 Yes

MEPS-Household Panel Civilian, non-institutionalized 2018 30,245 No, Restricted
U.S. population

NHIS Annual Civilian, non-institutionalized 2019 41,054 No, Restricted
U.S. population

NSCH Periodic U.S. children <18 years 2019 28,973 Yes

SIPP Panel Civilian, non-institutionalized 2018 63,841 Yes

U.S. population

' Number of total observations with non-missing data on race/ethnicity and Medicaid/coverage status
2;When examining these surveys, we utilize a sample threshold of a numerator of 5 and denominator of 50.

Race Measures

In accordance with the 1997 OMB revisions, all seven surveys examined here allow respondents to select one or more races.
For those who select more than one race response, two surveys (BRFSS and NHIS) ask a follow-up question regarding which of
the multiple races "best" identifies the respondent.

The following summarizes the collection of race data by the seven surveys of interest according to the five minimum standard
OMB categories (Exhibit 3).

e White: All seven surveys have a single comparable response option for this group.

e Black: All seven surveys have a single comparable response option for this group.

e AIAN: None of the surveys delineate between American Indian and Alaska Native. There are options to name the en-
rolled tribe in the ACS race question.

e Asian: All seven surveys provide the principle Asian sub-categories (Asian Indian, Chinese, Filipino, Japanese, Korean,
Vietnamese, and Other Asian), though in some cases these sub-categories are contained in the original race question
and in other cases they are contained in follow-up questions.

e NHOPI: All seven surveys provide the four principle NHOPI sub-categories, though in some cases these sub-categories
are contained in the original race question and in other cases they are contained in follow-up questions.

e Other: "Other" is an OMB-mandated category, but specification is not required. However, five of the seven surveys of in-
terest--the ACS, CPS, MEPS, NHIS, and SIPP--allow for write-in of what the "other" classification is, with the ACS including
this option within the original race question.

State Health Access Data Assistance Center 2
Collection and Availability of Data on Race, Ethnicity and Immigrant Groups in
Federal Surveys that Measure Health Insurance Coverage and Access to Care

 

Exhibit 3. Race Group Categories Collected in Selected Federal Surveys

 

eee ei ACS ET aS CPS ae NHIS NSCH
2019 2019 2019 2018 2019 2019
White X Xx X X X X X
Black or African American X X X X X X X
AIAN X Xx X X xX X X
American Indian
Alaska Native
Asian X X X
Asian Indian X x* x* X X* X X
Chinese X x* x* X X* X X
Filipino X x* xX* X xX* X X
Japanese X x* x* X Xx* Xx X
Korean X X* X* X xX* X X
Vietnamese X X* X* X X* X X
Other Asian X x* x* X X X X
NHOPI X X
Native Hawaiian X x* xX* X X X X
Pacific Islander
Guamanian or Chamorro X x* x* X X* X X
Samoan Xx xX* x* X X* X X
Other Pacific Islander X x* x* X Xx X xX
Other X X X X X X X
Other Race specified X xX* x* X* X*

 

* These subcategories were not provided as response options to the initial race question; they were provided to respondents only on follow-up when the
major category was selected.

Race Data Availability

Federal surveys may measure race at a higher level of detail than required by OMB standards, but this level of detail is not
always be publicly available for data analysis because of data confidentiality rules. Exhibit 4 shows race groups identified in
the public use data for the seven surveys of interest along with unweighted sample sizes for each group. In order to provide
roughly comparable information on available sample size across the surveys, we recoded information to reflect com-
monly used race categories. Note that some surveys do not support analysis by all of the categories; for example, the
BRFSS does not break out NHOPI.

Exhibit 4. Unweighted Sample Size' for OMB Race Groups in Public Use Data for Selected Federal Surveys

eee teat ACS Ty CPS MEPS NTT NSCH SIPP
2019 2019 2019 2018 2019 2019 2018
White, non-Hispanic 2,196,229 317,177 94,780 15,714 26,766 20,144 38,884
Black, non-Hispanic 293,243 31,549 17,074 4,504 4,476 1,834 7,298
AIAN, non-Hispanic 27,538 6,639 1,875 138 278 170 457
Asian, non-Hispanic 177,390 9,243 9,973 940 2,152 1,386 3,448
NHOPI, non-Hispanic 4,773 N/A 625 696 331 74 17]
Other, Multiple Races, non-Hispanic 81,873 14,303 3,475 983 751 1,918 1,541

 

Note: Some groups are double-counted in this table. The ACS, CPS, and MEPS have variables that provide detailed subcategories of "Asian.'The CPS has
detailed identifiers for multiple race combinations.

' Number of total observations with non-missing data on race/ethnicity and Medicaid/coverage status.

State Health Access Data Assistance Center 3
Collection and Availability of Data on Race, Ethnicity and Immigrant Groups in
Federal Surveys that Measure Health Insurance Coverage and Access to Care

 

Ethnicity Measures

In federal surveys, ethnicity refers to Hispanic ethnicity. The minimum OMB standard for collecting data on ethnicity includes
the options: 1) Hispanic/Latino or 2) Not Hispanic/ Latino. All seven surveys examined here specifically ask about Hispanic

or Latino origin (and in some cases, Spanish as well), using three main formulations for the ethnicity question: whether the
respondent is Hispanic, Latino, or Spanish origin; what Hispanic/Latino group represents the respondent's ethnic background;
or whether the person considers themselves to be Hispanic or Latino. All seven surveys also include further identifying cate-
gories of Hispanic origin as a follow-up question to the primary ethnicity question (Exhibit 5).

Exhibit 5. Ethnicity Group Categories Collected in Selected Federal Surveys

 

Ethnicity Group Xe.) BRFSS CPS MEPS NHIS NSCH BY | dd
2019 2019 2019 2018 2019 2019 2018

Not Hispanic or Latino X X X X Xx X X
Hispanic or Latino X X X X X X X
Mexican, Mexican-Am., Chicano X X X xX X

Mexican X X X

Mexican-American X Xx

Chicano X X
Puerto Rican X x X X X X x
Cuban/Cuban-American X

Cuban X xX X X X xX

Cuban-American X X
Dominican X* x* X xX
Central or South American X

Central American xX

Central American, exc. Salv. X*

Costa Rican x*

Guatemalan x*

Honduran x*

Nicaraguan X*

Panamanian xX*

Salvadoran x* X*

Other Central American x*

South American X* X

Argentinean x*

Bolivian X*

Chilean x*

Colombian X*

Ecuadorian x*

Paraguayan X*

Peruvian x*

Uruguayan X*

Venezuelan x*

Other South American x*
Spaniard x*
Other Latin American X
Other Hispanic/Latino/Spanish X X Xx X Xx X xX
Multiple Categories Allowed X X X X
Other Category Specified X X X X

 

*Asterisks denote categories that are not specified in survey questions but are reported as open-ended "other" responses.

State Health Access Data Assistance Center 4
Collection and Availability of Data on Race, Ethnicity and Immigrant Groups in
Federal Surveys that Measure Health Insurance Coverage and Access to Care

 

Ethnicity Data Availability

As with race, federal surveys may measure ethnicity at a high level of detail, but this level of detail may not always be publicly
available for data analysis because of data confidentiality rules. Exhibit 6 shows ethnicity group identifiers in the public use
data and corresponding unweighted sample sizes for each of the seven surveys of interest.

Exhibit 6. Unweighted Sample Size for Ethnicity Groups in Public Use Data for Selected Federal Surveys
ACS Le} hy fat ae NHIS NSCH SIPP

  
 

 
 

Ethnicity Group

 

2019 2019 2019 2018 2019 2019 2018

Not Hispanic or Latino 2,781,046 378,911 127,802 22,975 34,754 25,526 51,799
Hispanic or Latino 458,507 37,282 29,879 7,270 6,300 3,447 12,042
Hispanic, Mexican, Mexican-Am 3,669
Mexican, Mexican-Am., Chicano 4,760

Mexican 282,466 18,485
Puerto Rican 43,766 2,421 576
Cuban/Cuban-American 301

Cuban 19,721 1,046
Dominican 13,598 942 188
Central or South American 927
Central American, exc. Salv. 1,850

Costa Rican 1,400

Guatemalan 10,737

Honduran 6,675

Nicaraguan 3,482

Panamanian 1,611

Salvadoran 15,941 1,050
Other Central American 334
South American 2,013

Argentinean 2,690

Bolivian 1,020

Chilean 1,436

Colombian 9,890

Ecuadorian 5,115

Paraguayan 242

Peruvian 5,252

Uruguayan 556

Venezuelan 4,105
Other South American 169
Spaniard 7,660
Other Hispanic/Latino/Spanish 20,641 2,072 405 2,540
Multiple Hispanic 113
Unknown 31

 

*Some groups are double-counted in this table.

Immigrant Status Measures

There are no OMB standards for the collection of data on immigrant groups. We reviewed survey questionnaires to determine
what data are collected related to immigrant status, with particular attention to information that will allow analysts to distin-
guish specific immigrant groups or, at a minimum, identify foreign-born respondents for subgroup analyses. Across surveys,
three main concepts related to immigrant status are captured: nativity (country of birth), time lived in the U.S., and path to
U.S. citizenship. Exhibit 7 shows summarizes the collection of data around these three immigration concepts by the seven
surveys of interest.

State Health Access Data Assistance Center 5
Collection and Availability of Data on Race, Ethnicity and Immigrant Groups in

Federal Surveys that Measure Health Insurance Coverage and Access to Care

 

Exhibit 7. Immigrant-Status Related Concepts Collected in Selected Federal Surveys

 
 
               

cers ACS Tt Sy CPS MEPS NHIS NSCH
2019 2019 2019 2018 2019 2019 2018

Nativity xX X X xX X X
Respondent X X X X X X
Other Household Members X X Xx
Mother X X X
Father X Xx X
Time Lived in the U.S. X X X X X X
Respondent xX X Xx X xX X
Other Household Members X X X
Mother X

Father X

Path to U.S. Citizenship xX X X X
Are you a citizen? X X X X

 

Immigrant Group Data Availability

We reviewed data files for each of the seven federal surveys examined here to determine whether respondents could be
grouped as U.S. or foreign born and whether detailed information on country of origin was available for those identified as
foreign born. Exhibit 8 shows the immigrant group data availability and corresponding unweighted sample sizes for each
group within surveys.

Exhibit 8. Unweighted Sample Size for Immigrant Groups in Public Use Data for Selected Federal Surveys
ACS ed) fad) ae Tas NSCH SIPP

    
  

Immigrant Group

 

2019 2019 2019 2018 PA) 2019 2018
U.S. Born 2,862,760 136,813 25,494 34,971 28,251 54,466
Foreign Born 376,793 20,868 4,607 5,225 433 9,375
Latin America 166,219 11,004
Europe 49,188 1,711
Africa 17,079 1,124
Asia 132,556 6,534
Other North America 9,105 296
Oceania and at Sea 2,437 152
Puerto Rico and U.S. Island Areas 209
Elsewhere 47
Unknown 144 858 289 0

 

Note: The 2019 CPS specifies 161 countries and areas of the world. These are collapsed into larger geographic areas for this table.

State and Local Level Data

Sample sizes for race, ethnic, or immigrant groups vary depending on the state or the REI group of interest. Even with pub-
licly available geographic identifiers, the sample sizes for specific REI groups at lower levels of geography may be compro-
mised. For example, BRFSS has relatively large samples of AIAN (n=6,639) and Asian (n=8,531) subpopulations. However, in
Minnesota there are only 170 AIAN and 287 Asian respondents in the 2019 sample, precluding comprehensive research on
health equity for these groups in this state that has a large Asian population and one of the larger American Indian popu-
lations. Appendix A to this brief shows unweighted sample sizes for selected REI groups by state for the five surveys that
contain state identifiers in the public use files (ACS, BRFSS, CPS, NSCH, and SIPP).

a

State Health Access Data Assistance Center
Collection and Availability of Data on Race, Ethnicity and Immigrant Groups in

Federal Surveys that Measure Health Insurance Coverage and Access to Care

 

CONCLUSIONS

This brief is intended to draw attention to the way in which data on race, ethnicity, and immigrant groups are measured, col-
lected, and available in federal surveys that measure health insurance coverage. Since all of the surveys reviewed are conduct-
ed by federal agencies, they are all governed by the same OMB standards for the collection and classification of data on race
and ethnicity. Even so, there are some differences in the implementation of the minimum standards, and while the surveys
reviewed are rich with questions on race, ethnicity, and immigrant groups, not all data collected are available in public use
files. Given that many decisions regarding coverage and access to care are made at the state and local levels, having good
data to inform practice and policy recommendations and to evaluate the impact for local REI populations is critical. This pauci-
ty of state and local data for REI groups from the federal surveys underscores the need for renewed initiatives to improve data
collection and data availability to support state and local level activities to eliminate health inequities.

Suggested Citation

Bernard, S., and Au-Yeung, C. (2021). "Collection and Availability of Data on Race, Ethnicity, and Immigrant Groups in Federal
Surveys that Measure Health Insurance Coverage and Access to Care.' SHADAC Issue Brief. Minneapolis, MN: State Health Ac-
cess Data Assistance Center (SHADAC). Available at https://www.shadac.org/publications/fed-survey-data-REI.

References
Mathews, K., Phelan, J., Jones, N.A., Konya, S, Marks, R., Pratt, B.M., Coombs, J., & Bentley, M. (2017)."2015 National Content
Test Race and Ethnicity Analysis Report: A New Design for the 21% Century.' Washington, DC: U.S. Census Bureau. Available at

https://s3.documentcloud.org/documents/4316468/2015nct-Race-Ethnicity-Analysis.pdf

Office of Management and Budget (OMB). (1997). "Revisions to the Standards for the Classification of Federal Data on Race
and Ethnicity." Federal Register Notice. Washington, DC: Office of Information and Regulatory Affairs, OMB. Available at: Revi-
sions-to-the-Standards-for-the-Classification-of-Federal-Data-on-Race-and-Ethnicity-October30-1997.pdf (whitehouse.gov).

 

Office of Management and Budget (OMB). (1977). "Directive No. 15: Race and Ethnic Standards for Federal Statistics and Ad-
ministrative Reporting.' Available at 1195.pdf (fcc.gov),

State Health Access Data Assistance Center (SHADAC). (2021)."Collection of Race, Ethnicity, Language (REL) Data in Medicaid
Applications: A 50-State Review of the Current Landscape.' Princeton, NJ: State Health and Value Strategies.

State Health Access Data Assistance Center 7
Collection and Availability of Data on Race, Ethnicity and Immigrant Groups in

eC eeI LUAU AM UMC Ree CMEC eG IAC Mle Pee eXe ON 61K

 

Appendix A. Unweighted Sample Size for Selected REI Groups by Survey and State
Black, Non-Hispanic AIAN, Non-Hispanic

    

ACS BRFSS CPS NSCH is] (a) NSCH Sed

2019 2019 2020 2019 2019 2020 2019 2018
Alabama 10,241 1,817 879 105 276 193 102 10 3 2
Alaska 112 52 38 8 2 1,982 339 346 26 68
Arizona 2,379 203 129 17 51 3,908 628 47 2 32
Arkansas 3,605 752 365 52 98 153 61 13 6 8
California 17,283 588 755 19 418 1,807 83 66 3 36
Colorado 1,525 249 50 11 44 286 79 6 0 8
Connecticut 2,544 633 122 20 94 52 39 1 1 0
Delaware 1,441 492 269 71 22 31 32 2 1 1
Dist. Columbia 2,292 1,302 926 128 57 11 18 2 1 0
Florida 23,226 1,643 1,070 57 508 404 175 20 0 1
Georgia 24,318 1,632 1,098 105 659 172 54 4 4 13
Hawaii 207 71 23 4 1 21 27 7 0 0
Idaho 84 18 39 3 6 242 58 36 1 12
Illinois 11,799 656 550 37 249 104 23 0 0 1
Indiana 4,112 594 248 31 113 100 57 9 0 1
lowa 684 185 81 17 34 85 37 2 1 4
Kansas 1,119 427 83 11 24 210 121 33 4 3
Kentucky 2,616 665 137 31 91 61 59 6 0 0
Louisiana 11,307 1,166 1,123 125 317 301 71 11 6 9
Maine 146 58 20 11 0 115 65 4 1 1
Maryland 13,822 3,448 589 101 300 91 98 3 1 1
Massachusetts 3,576 401 262 23 68 76 34 9 0 1
Michigan 8,326 870 412 33 232 619 84 7 0 16
Minnesota 1,433 513 102 20 59 646 170 20 2 7
Mississippi 9,423 1,958 1,051 171 273 159 46 3 4 0
Missouri 4,823 682 261 34 159 224 74 5 1 5
Montana 39 15 20 1 0 677 494 97 10 6
Nebraska 562 314 84 13 9 251 173 38 3 4
Nevada 2,080 160 210 25 84 483 41 24 2 3
New Hampshire 151 42 22 6 0 19 30 1 1 0
New Jersey 8,374 N/A 328 32 155 113 N/A 0 0 1
New Mexico 308 74 66 8 8 2,766 532 248 16 40
New York 21,042 1,289 883 44 466 435 102 9 0 19
North Carolina 17,176 859 709 61 381 1,383 110 59 3 13
North Dakota 89 48 75 10 3 421 193 95 5 0
Ohio 10,423 797 357 31 195 133 92 9 0 1
Oklahoma 1,931 328 125 20 75 3,710 454 228 39 69
Oregon 581 66 36 12 13 509 87 29 2 7
Pennsylvania 7,691 689 358 26 249 125 31 14 0 7
Rhode Island 435 231 70 28 2 21 42 2 0 0
South Carolina 10,405 1,536 669 70 229 184 55 5 0 3
South Dakota 92 35 29 6 1 726 834 133 7 2
Tennessee 7,959 726 394 48 234 132 83 7 2 4
Texas 24,339 1,008 1,045 41 541 840 108 38 1 14
Utah 230 65 27 4 0 375 123 18 1 1
Vermont 54 28 32 7 1 19 48 5 0 0
Virginia 12,539 1,530 543 59 328 179 53 7 1 1
Washington 1,901 251 93 10 56 1,274 147 57 3 22
West Virginia 571 93 90 10 19 26 34 4 0 1
Wisconsin 1,790 230 113 9 94 437 83 18 1 9
Wyoming 38 28 14 8 0 247 56 58 5 0
U.S. Territories N/A 32 N/A N/A N/A N/A 0 N/A N/A N/A
Total 293,243 31,517 17,074 1,834 7,298 27,538 6,639 1,875 170 457

 

State Health Access Data Assistance Center 8
Collection and Availability of Data on Race, Ethnicity and Immigrant Groups in

eCTeeI AUER UMC Ree CME Kea KCle (Mele ee tXe CO 61K

 

Appendix A. Unweighted Sample Size for Selected REI Groups by Survey and State (Continued)
Asian, Non-Hispanic NHOPI, Non-Hispanic

    

3] assy ads NSCH Syl BRFSS CPS NSCH Side

2019 2020 2019 2018 2019 2020 2019 2018
Alabama 593 37 57 10 20 18 N/A 6 0 0
Alaska 226 48 150 35 10 41 N/A 43 8 6
Arizona 2,159 84 99 24 18 120 N/A 11 1 14
Arkansas 332 24 49 14 6 47 N/A 2 2 0
California 61,290 943 2,445 89 1,135 1,064 N/A 86 0 33
Colorado 1,757 160 52 22 23 44 N/A 6 1 1
Connecticut 1,601 203 100 33 34 11 N/A 0 0 0
Delaware 336 70 65 41 17 1 N/A 6 1 0
Dist. Columbia 320 65 121 13 4 1 N/A 5 0 0
Florida 5,547 154 210 20 84 105 N/A 10 1 6
Georgia 3,990 111 209 36 75 45 N/A 4 1 7
Hawaii 5,232 2,312 1,056 147 101 1,485 N/A 287 26 41
Idaho 174 24 32 14 4 22 N/A 8 1 0
Illinois 6,049 211 311 41 112 29 N/A 4 0 7
Indiana 1,213 71 84 25 18 19 N/A 4 0 0
lowa 408 82 100 16 18 16 N/A 0 0 1
Kansas 600 121 59 22 14 11 N/A 6 0 0
Kentucky 663 27 27 9 20 21 N/A 2 1 3
Louisiana 745 33 64 12 35 15 N/A 9 0 0
Maine 138 31 23 6 2 4 N/A 0 0 0
Maryland 3,911 372 212 47 83 23 N/A 0 0 0
Massachusetts 4,908 271 294 47 36 37 N/A 0 0 0
Michigan 2,440 153 168 16 45 19 N/A 0 1 3
Minnesota 1,567 287 125 33 52 9 N/A 1 1 0
Mississippi 323 15 18 6 3 3 N/A 0 1 0
Missouri 990 50 40 16 21 68 N/A 6 0 2
Montana 56 33 26 2 1 2 N/A 1 1 0
Nebraska 291 98 66 15 13 9 N/A 3 0 0
Nevada 2,433 67 221 49 68 177 N/A 13 8 9
New Hampshire 266 52 91 28 6 6 N/A 0 0 0
New Jersey 9,159 N/A 384 80 136 18 N/A 1 0 2
New Mexico 326 42 48 8 3 7 N/A 3 0 2
New York 17,867 475 718 51 315 37 N/A 2 1 4
North Carolina 2,861 58 161 24 72 58 N/A 3 0 2
North Dakota 63 42 36 9 4 8 N/A 5 2 0
Ohio 2,184 86 122 7 44 30 N/A 6 1 1
Oklahoma 627 60 72 21 23 46 N/A 1 0 0
Oregon 1,621 92 129 23 33 129 N/A 21 3 0
Pennsylvania 3,356 146 182 24 99 24 N/A 2 1 0
Rhode Island 296 88 48 24 6 2 N/A 2 3 1
South Carolina 782 40 39 13 14 37 N/A 5 0 1
South Dakota 89 13 51 12 3 8 N/A 1 1 1
Tennessee 1,071 40 43 17 26 36 N/A 7 0 0
Texas 12,802 263 644 40 277 184 N/A 8 0 10
Utah 617 113 70 7 31 178 N/A 21 5 9
Vermont 62 33 23 11 4 1 N/A 0 0 0
Virginia 5,568 208 244 54 104 51 N/A 5 0 0
Washington 6,242 461 281 45 127 418 N/A 3 0 3
West Virginia 147 12 17 8 3 1 N/A 2 0 1
Wisconsin 1,060 40 69 16 43 22 N/A 2 1 1
Wyoming 32 10 18 4 3 6 N/A 2 1 0
U.S. Territories N/A 712 N/A N/A N/A N/A N/A N/A N/A N/A
Total 177,390 8,531 9,973 1,386 3,448 4,773 N/A 625 74 171

 

State Health Access Data Assistance Center 9
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Appendix A. Unweighted Sample Size for Selected REI Groups by Survey and State (Continued)
Hispanic Foreign

    

CPS NSCH BRFSS (es) NSCH Syed

2020 2019 2019 2020 2019 2018
Alabama 1,484 96 199 20 64 1,405 N/A 136 51 0
Alaska 299 73 154 50 0 358 N/A 147 10 12
Arizona 17,371 1,295 1,178 197 469 7,741 N/A 441 188 9
Arkansas 1,753 156 265 59 66 1,079 N/A 150 30 3
California 128,159 4,028 6,810 194 3,520 98,573 N/A 4,325 2,433 20
Colorado 8,992 1,413 524 88 251 4,155 N/A 231 144 7
Connecticut 4,495 719 264 76 158 4,554 N/A 273 148 11
Delaware 661 444 174 55 13 766 N/A 139 26 16
Dist. Columbia 630 146 261 63 0 756 N/A 346 11 7
Florida 43,955 1,903 2,268 153 971 37,875 N/A 1,774 769 16
Georgia 7,502 567 451 71 235 8,688 N/A 435 239 10
Hawaii 1,217 567 183 65 14 2,443 N/A 445 52 15
Idaho 1,581 319 343 56 57 711 N/A 172 26 2
Illinois 14,977 814 978 81 328 13,832 N/A 703 289 5
Indiana 3,403 381 193 45 75 2,593 N/A 132 67 9
lowa 1,379 459 167 39 38 1,064 N/A 179 35 4
Kansas 2,449 558 291 51 108 1,409 N/A 139 60 6
Kentucky 1,361 103 72 19 31 1,541 N/A 70 53 3
Louisiana 2,050 138 282 41 82 1,723 N/A 196 62 3
Maine 207 161 36 19 2 440 N/A 69 11 6
Maryland 4,721 720 235 50 108 7,983 N/A 382 192 16
Massachusetts 6,256 690 510 71 125 10,421 N/A 653 181 15
Michigan 3,626 272 247 29 91 5,212 N/A 262 135 7
Minnesota 1,775 663 140 31 25 2,487 N/A 186 66 5
Mississippi 726 42 101 23 18 632 N/A 53 14 4
Missouri 2,090 150 112 28 57 2,024 N/A 68 58 3
Montana 297 137 84 32 17 200 N/A 46 8 1
Nebraska 1,359 1,161 271 60 33 779 N/A 210 29 12
Nevada 7,067 535 690 151 218 5,279 N/A 421 167 14
New Hampshire 373 60 101 34 8 729 N/A 139 18 3
New Jersey 13,249 N/A 648 115 282 18,130 N/A 755 323 26
New Mexico 7,675 1,932 1,466 310 256 1,478 N/A 323 52 7
New York 26,205 1,597 1,433 107 504 38,247 N/A 1,656 750 16
North Carolina 7,446 405 539 55 148 7,099 N/A 430 166 11
North Dakota 250 76 79 19 7 172 N/A 88 10 8
Ohio 3,726 216 183 34 70 4,358 N/A 190 97 6
Oklahoma 3,245 405 362 76 73 1,696 N/A 165 46 6
Oregon 3,870 524 416 75 131 3,195 N/A 256 113 5
Pennsylvania 5,766 293 327 45 193 6,242 N/A 318 209 8
Rhode Island 1,001 457 247 67 21 1,100 N/A 180 31 13
South Carolina 2,195 180 193 48 35 2,341 N/A 142 51 4
South Dakota 220 96 88 26 6 223 N/A 60 5 7
Tennessee 2,964 133 255 38 130 3,031 N/A 164 111 9
Texas 88,902 3,155 4,128 188 2,475 38,723 N/A 1,808 1,175 17
Utah 3,109 999 454 63 63 2,033 N/A 226 63 4
Vermont 103 67 33 18 6 216 N/A 74 9 4
Virginia 6,031 533 380 48 167 9,228 N/A 436 242 14
Washington 7,382 932 540 56 158 9,550 N/A 457 227 11
West Virginia 223 44 86 16 14 261 N/A 53 7 6
Wisconsin 2,279 144 169 33 113 1,860 N/A 111 111 4
Wyoming 451 196 269 59 8 158 N/A 54 5 3
U.S. Territories N/A 6,128 N/A N/A N/A N/A N/A N/A N/A N/A
Total 458,507 31,154 29,879 3,447 12,042 376,793 N/A 20,868 9,375 433

 

State Health Access Data Assistance Center 10