Georgia Civic DataPreventive Care and Health Insurance Among Adults
Estimated share of adults with checkups, screenings, dental visits or blood pressure medication, or without health insurance, by county and tract.
- 2022–2023
- annual
- 1.0.0
- 68d33ef8f318
Overview
Model-based estimates of how many adults use preventive health care, and how many lack health insurance, in every Georgia county and census tract, from CDC PLACES (2025 release): the crude share with its 95% confidence interval for seven measures (lack of health insurance among adults aged 18-64; taking blood pressure medication among adults with high blood pressure; a routine checkup in the past year; cholesterol screening in the past 5 years; colorectal cancer screening among adults aged 45-75; a dental visit in the past year; a mammogram in the past 2 years among women aged 50-74), plus the age-adjusted share for counties. Modeled from the Behavioral Risk Factor Surveillance System survey, 2023 for four measures and 2022 for three.
Row grain: One row per year, county_fips, tract_geoid, measure.
pct_adults — Share of Adults (Crude Prevalence) (proportion)
The single headline value most answers want.
Variables
Every column in the fact table. The code is the exact field name the API returns.
| Column | Type | Unit | Range | Null? | Description |
|---|---|---|---|---|---|
year | integer | — | — | no | BRFSS survey year the estimate is modeled from, as CDC serves it (2022 for colorectal_cancer_screening, dental_visit and mammography; 2023 for every other measure). Every row is from CDC's 2025 PLACES release and each measure has one year (see year_meaning).Full description▾BRFSS survey year the estimate is modeled from, as CDC serves it (2022 for colorectal_cancer_screening, dental_visit and mammography; 2023 for every other measure). Every row is from CDC's 2025 PLACES release and each measure has one year (see year_meaning). |
county_fips | string | — | — | yes | 5-digit county FIPS code (FK to the counties dimension), set on county rows. NULL on tract rows: the tracts dimension gives each tract's county.Full description▾5-digit county FIPS code (FK to the counties dimension), set on county rows. NULL on tract rows: the tracts dimension gives each tract's county. |
tract_geoid | string | — | — | yes | 11-digit 2020 census tract GEOID (FK to the tracts dimension), set on tract rows. NULL on county rows. The 12 special-use and water tracts of the dimension have no estimates.Full description▾11-digit 2020 census tract GEOID (FK to the tracts dimension), set on tract rows. NULL on county rows. The 12 special-use and water tracts of the dimension have no estimates. |
measure | string | — | — | no | CDC PLACES prevention measure; pick one (measures never add).Full description▾PLACES measure in CDC's Prevention category (CDC's measureid and full measure name, which names the adults the share is of, in parentheses): lack_of_health_insurance (ACCESS2: Current lack of health insurance among adults aged 18-64 years; BRFSS 2023); taking_blood_pressure_medication (BPMED: Taking medicine to control high blood pressure among adults with high blood pressure; BRFSS 2023); annual_checkup (CHECKUP: Visits to doctor for routine checkup within the past year among adults; BRFSS 2023); cholesterol_screening (CHOLSCREEN: Cholesterol screening among adults; BRFSS 2023); colorectal_cancer_screening (COLON_SCREEN: Colorectal cancer screening among adults aged 45–75 years; BRFSS 2022); dental_visit (DENTAL: Visited dentist or dental clinic in the past year among adults; BRFSS 2022); mammography (MAMMOUSE: Mammography use among women aged 50-74 years; BRFSS 2022). Every measure rests on BRFSS respondents' own answers; CDC's measure definitions: https://www.cdc.gov/places/measure-definitions/index.html. No total value: pick one measure; measures never add (one adult can count in several, and they cover different adults). Definitions: lack_of_health_insurance: adults aged 18-64 with no current health insurance coverage, of all adults aged 18-64 (the measure leaves out adults 65 and older, nearly all of whom have Medicare). The one measure where higher is worse; CDC notes it may underestimate the lack of insurance. taking_blood_pressure_medication: adults who have been told they have high blood pressure and currently take medicine for it, of adults told they have high blood pressure (not of all adults); it counts only people who recall the diagnosis. annual_checkup: adults with a routine checkup by a doctor in the past year (not an exam for a specific injury, illness or condition), of all adults. cholesterol_screening: adults who had their cholesterol checked in the past 5 years, of all adults; CDC notes the validity of this self-report can be low. colorectal_cancer_screening: adults aged 45-75 with a recommended colorectal cancer screening test within its interval (for example a colonoscopy in the past 10 years or a stool test in the past year), of adults aged 45-75. The range follows the U.S. Preventive Services Task Force's 2021 change (screening from 45, previously 50), so it does not compare with estimates for ages 50-75 from before the change. dental_visit: adults who visited a dentist or dental clinic in the past year, for any reason, of all adults. mammography: women aged 50-74 with a mammogram in the past 2 years, of women aged 50-74 (the Task Force's 2024 recommendation starts screening at 40; this measure still covers 50-74). 7 allowed values▾
|
pct_adults | number | — | yes | Estimated share of the measure's adults in the county or tract (CDC model-based crude prevalence).Full description▾Crude prevalence: CDC PLACES' model-based estimate of the share of adults in the county or tract with the measure, among the adults the measure covers (lack_of_health_insurance: adults aged 18-64; taking_blood_pressure_medication: adults with high blood pressure; colorectal_cancer_screening: adults aged 45-75; mammography: women aged 50-74; every other measure: adults 18 and older), as a proportion (CDC's percent divided by 100; 0.313 = 31.3%). It estimates how widely the area's adults actually use the care (for lack_of_health_insurance, how common lacking coverage actually is) and is the only statistic CDC publishes for tracts, so it is on every row; tract and county figures come from separate models, so compare a tract with its county only with both intervals in view. An estimate, not a survey count: modeled from BRFSS answers with multilevel regression and post-stratification; read it with its 95% confidence interval. Never add across measures or average across places. Direction differs: for lack_of_health_insurance higher is worse; for the six service measures higher means more of the measure's adults got the service. | |
pct_adults_ci_lower | number | — | yes | Lower bound of the 95% confidence interval of pct_adults, as CDC publishes it (a proportion, rounded to 0.001): the range CDC's model gives for the estimate. A wide interval is an uncertain estimate; two places whose intervals overlap may not differ.Full description▾Lower bound of the 95% confidence interval of pct_adults, as CDC publishes it (a proportion, rounded to 0.001): the range CDC's model gives for the estimate. A wide interval is an uncertain estimate; two places whose intervals overlap may not differ. | |
pct_adults_ci_upper | number | — | yes | Upper bound of the 95% confidence interval of pct_adults, as CDC publishes it (a proportion, rounded to 0.001): the range CDC's model gives for the estimate. A wide interval is an uncertain estimate; two places whose intervals overlap may not differ.Full description▾Upper bound of the 95% confidence interval of pct_adults, as CDC publishes it (a proportion, rounded to 0.001): the range CDC's model gives for the estimate. A wide interval is an uncertain estimate; two places whose intervals overlap may not differ. | |
pct_adults_age_adjusted | number | — | yes | Age-adjusted prevalence, county rows only: CDC's model-based estimate of the share the county would have with a standard U.S. adult age distribution, as a proportion. Use it to compare counties whose populations differ in age (a county with more older adults shows a higher crude share for checkups, screenings and blood pressure medication, which older adults use more, and a lower one for lack_of_health_insurance); use pct_adults for the actual share. NULL on tract rows: CDC publishes it for counties only.Full description▾Age-adjusted prevalence, county rows only: CDC's model-based estimate of the share the county would have with a standard U.S. adult age distribution, as a proportion. Use it to compare counties whose populations differ in age (a county with more older adults shows a higher crude share for checkups, screenings and blood pressure medication, which older adults use more, and a lower one for lack_of_health_insurance); use pct_adults for the actual share. NULL on tract rows: CDC publishes it for counties only. | |
pct_adults_age_adjusted_ci_lower | number | — | yes | Lower bound of the 95% confidence interval of pct_adults_age_adjusted (county rows only), as CDC publishes it (a proportion, rounded to 0.001): the range CDC's model gives for the estimate. A wide interval is an uncertain estimate; two places whose intervals overlap may not differ.Full description▾Lower bound of the 95% confidence interval of pct_adults_age_adjusted (county rows only), as CDC publishes it (a proportion, rounded to 0.001): the range CDC's model gives for the estimate. A wide interval is an uncertain estimate; two places whose intervals overlap may not differ. | |
pct_adults_age_adjusted_ci_upper | number | — | yes | Upper bound of the 95% confidence interval of pct_adults_age_adjusted (county rows only), as CDC publishes it (a proportion, rounded to 0.001): the range CDC's model gives for the estimate. A wide interval is an uncertain estimate; two places whose intervals overlap may not differ.Full description▾Upper bound of the 95% confidence interval of pct_adults_age_adjusted (county rows only), as CDC publishes it (a proportion, rounded to 0.001): the range CDC's model gives for the estimate. A wide interval is an uncertain estimate; two places whose intervals overlap may not differ. |
Filters
Query parameters the fact endpoint accepts. Comma-separated values are OR within a parameter; multiple parameters AND together.
| Parameter | Kind | Allowed values | Notes |
|---|---|---|---|
year | year_exact | any value | — |
year_min | year_range | any value | — |
year_max | year_range | any value | — |
detail | detail | countiestracts | enum-enforced, default: counties |
county_fips | foreign_key | any value | multi-value |
tract_geoid | foreign_key | any value | multi-value |
measure | categorical | 7 allowed values▾
| multi-value, enum-enforced, pick one |
Example requests
Run these against the base URL — they return live data.
All rows (first page), counties level
curl "https://georgiacivicdata.org/api/v1/health/prevention_services"counties data for 2023
curl "https://georgiacivicdata.org/api/v1/health/prevention_services?year=2023"Filtered to measure = lack_of_health_insurance for 2023
curl "https://georgiacivicdata.org/api/v1/health/prevention_services?year=2023&measure=lack_of_health_insurance"One county (FIPS 13121), 2023
curl "https://georgiacivicdata.org/api/v1/health/prevention_services?county_fips=13121&year=2023&detail=counties"Download 2023 as CSV
curl "https://georgiacivicdata.org/api/v1/health/prevention_services?year=2023&format=csv"Notes & limitations
NULL handling
- Zero is a real, reported value.
Limitations
Model-based estimates, not survey counts: CDC PLACES (2025 release) estimates each county's and census tract's share of adults for each measure from BRFSS 2023 and 2022 survey answers with multilevel regression and post-stratification on Census population data and American Community Survey estimates, so a figure is not a survey result for that tract or county. CDC cautions against using them to evaluate programs or policies (the model cannot detect the effects of local interventions). Releases are not comparable year to year: each is a new model, so a future release is not a trend point against this one. County rows: all 159 counties, each of the 7 measures, with crude and age-adjusted prevalence. Tract rows: 2,784 of Georgia's 2,796 2020 census tracts, crude prevalence only (CDC publishes age-adjusted prevalence for counties only, so those columns are NULL on tract rows); the 12 special-use and water tracts (13029980000, 13039990000, 13051980000, 13051990000, 13063980000, 13089980000, 13121980000, 13127990000, 13179990000, 13183980000, 13191980000, 13191990000) have no estimates and no rows. No state row: the source publishes none, and modeled shares are never added or averaged into one here; never average tract figures into a county (use the county row) or county figures into Georgia. Measures never add up: each is a different estimate, one adult can count in several, and each covers its own adults (lack_of_health_insurance: adults aged 18-64; taking_blood_pressure_medication: adults with high blood pressure; colorectal_cancer_screening: adults aged 45-75; mammography: women aged 50-74; every other measure: adults 18 and older), so denominators differ by measure. Estimates and their 95% confidence intervals are CDC's, rounded to 0.1 percentage point (0.001 here). CDC models counties and tracts separately (counties on Census 2023 county population estimates, tracts on the 2020 Census), so a county's estimate can fall outside the range of its own tracts' estimates (103 of 1,113 county figures here): compare a tract with its county only with both intervals in view. CDC publishes no counts of adults: a share times a population is only an approximation (the tracts dimension's population_2020 counts all ages). Prevention measures rest on self-reports in a telephone survey, which can run higher than medical records for screenings and checkups (CDC notes cholesterol screening's validity can be low). Each measure also has its own time window (see measure); colorectal_cancer_screening uses the 2021 screening ages, 45-75, so it is not comparable with older estimates for ages 50-75. lack_of_health_insurance is PLACES' modeled estimate from BRFSS answers; Census Bureau uninsured figures (the American Community Survey and SAHIE) come from different surveys and models and will not match it.