GeographyUS census tract
Release2025
Available records83,522
What you can build
40 modeled health measures, native crude estimates and 95% confidence intervals; published measure coverage varies by state and tract. Use this dataset as a sourced input to an application, analytical model or retrieval tool. Retain its native dimensions when joining it with your own records.
Query CDC PLACES tract health estimates
The example below is a real bounded request against the available release. Replace the environment variable with your server-side API credential. Review endpoint parameters and response schemas before changing selectors.
Verified API request
curl --fail --get "https://api.geoamcan.com/v1/health?dataset=cdc-places&limit=1&geo_type=tract&geoid=01001020100" \
-H "Authorization: Bearer $GEOAMCAN_API_KEY"Saved response excerpt
{
"source_attribution": {
"cdc-places": "CDC PLACES modeled estimates"
},
"requested_area": {
"geo_type": "tract",
"geoid": "01001020100"
},
"data": [
{
"dataset": "cdc-places",
"source": "CDC",
"release": "2025",
"geographic_resolution": "tract",
"geoid": "01001020100",
"geography_vintage": "2023",
"period": "2025",
"naics": "",
"component": "crude",
"metrics": {
"CHD": 7.2,
"LPA": 27.8,
"COPD": 8.2,
"BINGE": 14.8,
"BPMED": 77.8,
"GHLTH": 22.5,
"MHLTH": 17.9,
"PHLTH": 14.7,
"SLEEP": 37.9,
"BPHIGH": 41.4,
"CANCER": 8.5,
"DENTAL": 57.3
},
"margins_of_error": {},
"flags": {
"missing": {},
"modeled": true,
"estimate_type": "crude",
"adult_population": 1370,
"total_population": 1775,
"observation_years": {
"CHD": "2023",
"LPA": "2023",
"COPD": "2023",
"BINGE": "2023",
"BPMED": "2023",
"GHLTH": "2023",
"MHLTH": "2023",
"PHLTH": "2023",
"SLEEP": "2022",
"BPHIGH": "2023",
"CANCER": "2023",
"DENTAL": "2022"
},
"confidence_intervals": {
"CHD": {
"raw": "( 6.2, 8.1)",
"lower": 6.2,
"upper": 8.1,
"confidence_level": 0.95
},
"LPA": {
"raw": "(22.7, 32.9)",
"lower": 22.7,
"upper": 32.9,
"confidence_level": 0.95
},
"COPD": {
"raw": "( 6.8, 9.8)",
"lower": 6.8,
"upper": 9.8,
"confidence_level": 0.95
},
"BINGE": {
"raw": "(12.1, 17.7)",
"lower": 12.1,
"upper": 17.7,
"confidence_level": 0.95
},
"BPMED": {
"raw": "(74.9, 80.4)",
"lower": 74.9,
"upper": 80.4,
"confidence_level": 0.95
},
"GHLTH": {
"raw": "(18.8, 26.4)",
"lower": 18.8,
"upper": 26.4,
"confidence_level": 0.95
},
"MHLTH": {
"raw": "(15.5, 20.4)",
"lower": 15.5,
"upper": 20.4,
"confidence_level": 0.95
},
"PHLTH": {
"raw": "(12.5, 16.8)",
"lower": 12.5,
"upper": 16.8,
"confidence_level": 0.95
},
"SLEEP": {
"raw": "(31.6, 44.4)",
"lower": 31.6,
"upper": 44.4,
"confidence_level": 0.95
},
"BPHIGH": {
"raw": "(37.1, 45.7)",
"lower": 37.1,
"upper": 45.7,
"confidence_level": 0.95
},
"CANCER": {
"raw": "( 7.6, 9.4)",
"lower": 7.6,
"upper": 9.4,
"confidence_level": 0.95
},
"DENTAL": {
"raw": "(53.2, 61.2)",
"lower": 53.2,
"upper": 61.2,
"confidence_level": 0.95
}
}
}
}
],
"availability": {
"cdc-places": {
"native_records_returned": 1,
"measure_coverage_this_page": {
"ACCESS2": {
"published_estimates": 1,
"not_published": 0,
"other_missing": 0
},
"ARTHRITIS": {
"published_estimates": 1,
"not_published": 0,
"other_missing": 0
},
"BINGE": {
"published_estimates": 1,
"not_published": 0,
"other_missing": 0
},
"BPHIGH": {
"published_estimates": 1,
"not_published": 0,
"other_missing": 0
},
"BPMED": {
"published_estimates": 1,
"not_published": 0,
"other_missing": 0
},
"CANCER": {
"published_estimates": 1,
"not_published": 0,
"other_missing": 0
},
"CASTHMA": {
"published_estimates": 1,
"not_published": 0,
"other_missing": 0
},
"CHD": {
"published_estimates": 1,
"not_published": 0,
"other_missing": 0
},
"CHECKUP": {
"published_estimates": 1,
"not_published": 0,
"other_missing": 0
},
"CHOLSCREEN": {
"published_estimates": 1,
"not_published": 0,
"other_missing": 0
},
"COGNITION": {
"published_estimates": 1,
"not_published": 0,
"other_missing": 0
},
"COLON_SCREEN": {
"published_estimates": 1,
"not_published": 0,
"other_missing": 0
}
},
"coverage": "United States; ACS includes Puerto Rico where published",
"custom_area_method": "intersecting native tracts; no aggregation",
"boundary_joins": [
{
"records": 83522,
"vintage": "2023",
"geo_type": "tract",
"missing_boundaries": 0
}
],
"release_metadata": {
"passed": true,
"source_urls": [
"https://data.cdc.gov/api/views/yjkw-uj5s/rows.csv?accessType=DOWNLOAD"
],
"model_inputs": {
"BRFSS_years": [
2022
],
"ACS_covariate_periods": [
"2018-2022"
],
"decennial_population_year": 2020
},
"retrieved_at": "2026-10-30T00:09:30.982447+00:00",
"coverage_gaps": [
"US only; no Canadian coverage"
],
"release_dates": [
"2025-12"
],
"boundary_joins": [
{
"records": 83522,
"vintage": "2023",
"geo_type": "tract",
"missing_boundaries": 0
}
],
"storage_method": "Measured pg_column_size of release rows; shared indexes excluded",
"geographic_counts": [
{
"areas": 83522,
"states": [
"01"
],
"records": 83522,
"row_key": "crude",
"geo_type": "tract"
}
],
"release_notes_url": "https://www.cdc.gov/places/current-release-notes/index.html",
"source_attribution": "CDC PLACES modeled estimates",
"missing_value_counts": [
{
"state": "01",
"row_key": "crude",
"records_with_missing_values": 1
}
]
}
}
},
"next_offset": null,
"returned_count": 1,
"complete": true,
"snapshot": {
"cdc-places": {
"release_id": 54,
"release": "2025",
"fingerprint": "bf52d427b4b4be1834e91dd3ce60bf21"
},
"tiger": {
"release_id": 1,
"release": "2026 + native 2024/2020",
"fingerprint": "0400658a689c0c2b04db479935dae54a"
},
"geography-extended": {
"release_id": 29,
"release": "2026 + native 2024",
"fingerprint": "e63402f6d0af12bc02df1e39a93b9fb8"
}
},
"metric_definitions": {
"cdc-places": {
"BINGE": {
"label": "Binge drinking among adults",
"unit": "%",
"universe": "All Adults",
"source_definition": {
"year": "2023",
"measure": "Binge drinking among adults",
"modeled": true,
"measureid": "BINGE",
"definition_url": "https://www.cdc.gov/places/measure-definitions/index.html",
"data_value_type": "Crude prevalence",
"data_value_unit": "%",
"datavaluetypeid": "CrdPrv",
"population_base": "Measure-specific eligible adult population; totalpop18plus is context, not a universal denominator",
"confidence_level": 0.95,
"official_definition": {
"url": "https://www.cdc.gov/places/measure-definitions/health-risk-behaviors.html",
"title": "Binge drinking among adults",
"fields": {
"Notes": "The measure does not convey the frequency or intensity of binge drinking or the specific amount of alcohol consumed, all of which affect the risks of alcohol-related harms.",
"Summary": "In 2022, the age-standardized binge drinking prevalence among adults was 17.7%. 1 Binge drinking prevalence was significantly higher among men (21.7%) than among women (13.8%) and was highest among non-Hispanic White adults (20.0%). 1 Previously, higher binge drinking prevalence has been observed among adults with higher annual household incomes, those who were never married or were divorced/separated/widowed, younger adults, and veterans. 2 Binge drinking prevalence was significantly higher among adults with a college degree than among adults with less than a high school diploma. 2 States with higher binge drinking prevalence estimates cluster in the Midwest and Northeast. 1 Excessive drinking\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n—which includes binge drinking\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n—is associated with many health problems including unintentional injuries, violence, sexually transmitted diseases, poor pregnancy outcomes, fetal alcohol spectrum disorders, and chronic diseases (e.g., high blood pressure, cancer). 3 Evidence-based alcohol policies, such as those recommended in the Community Guide, can be effective in preventing excessive alcohol use, including binge drinking. 4",
"Population": "All Adults",
"Measure type": "Prevalence (crude and age-adjusted)",
"Model-based measure": "A multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults who report having ≥5 drinks (men) or ≥4 drinks (women) on ≥1 occasion during the previous 30 days. The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Detailed methods are available here .",
"Time Period of Case Definition": "Past 30 days",
"Related Objectives or Recommendations": "Healthy People 2030 objective: SU-10. Reduce the proportion of people aged 21 years and over who engaged in binge drinking in the past month."
}
},
"definition_retrieved_at": "2026-10-29T23:56:05.340378+00:00"
}
},
"BPHIGH": {
"label": "High blood pressure among adults",
"unit": "%",
"universe": "All Adults",
"source_definition": {
"year": "2023",
"measure": "High blood pressure among adults",
"modeled": true,
"measureid": "BPHIGH",
"definition_url": "https://www.cdc.gov/places/measure-definitions/index.html",
"data_value_type": "Crude prevalence",
"data_value_unit": "%",
"datavaluetypeid": "CrdPrv",
"population_base": "Measure-specific eligible adult population; totalpop18plus is context, not a universal denominator",
"confidence_level": 0.95,
"official_definition": {
"url": "https://www.cdc.gov/places/measure-definitions/health-outcomes.html",
"title": "High blood pressure among adults",
"fields": {
"Notes": "Indicator does not measure the proportion of adults who currently have undiagnosed high blood pressure and thus likely results in an underestimate of the prevalence of high blood pressure. Indicator is based on having been told that one has high blood pressure and is subject to recall and actually having been told. Additionally, reports are not validated against actual blood pressure measurements or medical records. Survey questions are part of the BRFSS Rotating Core (odd years).",
"Summary": "According to the American College of Cardiology/American Heart Association (ACC/AHA) 2017 hypertension guideline, hypertension is defined as a blood pressure ≥130/≥80 mmHg. 14 An estimated 120 million American adults (48.1%) have hypertension—nearly 1 in 2 adults 18 years of age and older. 15 Of those with hypertension, an estimated 59.2% are aware they have hypertension. 16 The financial costs are significant with an estimated $79 billion dollars in 2016. 17 High blood pressure is the number one modifiable risk factor for stroke. In addition to stroke, high blood pressure also contributes to heart attacks, heart failure, kidney failure, and atherosclerosis. Evidence-based interventions can be implemented, adapted, and expanded in diverse settings across the United States to avert the negative health effects of high blood pressure. 18",
"Population": "All Adults",
"Measure Type": "Prevalence (crude and age-adjusted)",
"Model-based measure": "A multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults who report ever having been told by a doctor, nurse, or other health professional that they have high blood pressure. Women who were told they had high blood pressure only during pregnancy and those who were told they had borderline hypertension are not included. The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Detailed methods are available here .",
"Time Period of Case Definition": "Past 12 months",
"Related Objectives or Recommendations": "Healthy People 2030 objective: HDS-04. Reduce the proportion of adults with high blood pressure."
}
},
"definition_retrieved_at": "2026-10-29T23:56:05.356455+00:00"
}
},
"HOUSINSECU": {
"label": "Housing insecurity in the past 12 months among adults",
"unit": "%",
"universe": null,
"source_definition": {
"year": "2023",
"measure": "Housing insecurity in the past 12 months among adults",
"modeled": true,
"measureid": "HOUSINSECU",
"definition_url": "https://www.cdc.gov/places/measure-definitions/index.html",
"data_value_type": "Crude prevalence",
"data_value_unit": "%",
"datavaluetypeid": "CrdPrv",
"population_base": "Measure-specific eligible adult population; totalpop18plus is context, not a universal denominator",
"confidence_level": 0.95,
"official_definition": {
"url": "https://www.cdc.gov/places/measure-definitions/health-related-social-needs.html",
"title": "Housing insecurity in the past 12 months among adults",
"fields": {
"All Adults": "A multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults who were not able to pay mortgage, rent, or utility bill in the past 12 months. The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Detailed methods are available here .",
"Prevalence (crude and age-adjusted)": "Past 12 months",
"Literature has shown that housing insecurity or instability is associated with limited access to health care 23 and poor health outcomes 24 . Housing cost burden (spending more than 30% income on housing) is one challenge of housing instability, which also includes housing quality, overcrowding, and moving frequently 25 26 . In 2022, 42.1 million households were cost-burdened 25 . People who are renters, people living in urban areas, and some racial and ethnic minority groups are more likely to experience a housing cost burden 27 28 . Living in unaffordable housing is associated with overall poor health and increased risk of disease, including hypertension and cardiovascular disease 25 26 . Programs that make housing more affordable for both renters and homeowners and housing subsidies that provide financial assistance to pay rent can help improve housing cost burden 25 28 . Recent systematic reviews show that permanent supportive housing interventions increased long-term housing stability, reduced homelessness 29 , and improved health outcomes related to human immunodeficiency virus, anxiety, and depression among people experiencing homelessness 30 .": "Indicator does not convey a comprehensive measure of housing instability. The indicator does not include housing and neighborhood safety, housing quality, crowding, or residential stability (moving frequently). This measure used the survey question that is part of the Social Determinants and Health Equity optional module of the Behavioral Risk Factor Surveillance System. This measure is only available for states that chose to administer the module."
}
},
"definition_retrieved_at": "2026-10-29T23:56:05.358635+00:00"
}
},
"TEETHLOST": {
"label": "All teeth lost among adults aged >=65 years",
"unit": "%",
"universe": "Adults aged 65 years and older",
"source_definition": {
"year": "2022",
"measure": "All teeth lost among adults aged >=65 years",
"modeled": true,
"measureid": "TEETHLOST",
"definition_url": "https://www.cdc.gov/places/measure-definitions/index.html",
"data_value_type": "Crude prevalence",
"data_value_unit": "%",
"datavaluetypeid": "CrdPrv",
"population_base": "Measure-specific eligible adult population; totalpop18plus is context, not a universal denominator",
"confidence_level": 0.95,
"official_definition": {
"url": "https://www.cdc.gov/places/measure-definitions/health-outcomes.html",
"title": "All teeth lost among adults aged ≥65 years",
"fields": {
"Notes": "Questions are part of the rotating core, currently collected in even years.",
"Summary": "Estimates from the Behavioral Risk Factor Surveillance System (BRFSS) indicated the prevalence of edentulism (i.e., having lost all natural teeth or complete tooth loss) among U.S. adults aged ≥ 65 years decreased from 16.2% in 2012 to 12.1% in 2022. 30 Despite improvement in tooth retention over the past decades, disparities remain across some populations, such as a higher prevalence of edentulism in adults with lower income and lower educational levels, and current smokers. 47 Dental caries (tooth decay or cavities) and periodontal (gum) disease are leading causes of tooth loss. Complete tooth loss substantially limits food choices and eating and chewing ability and affects the quality of life. 48 Older adults with chronic conditions (e.g., diabetes and heart disease) had a significantly higher prevalence of severe and complete tooth loss than those without the condition. 49 Personal, professional, and population-based strategies to prevent and control gum disease and tooth decay can help ensure tooth retention. 50 51",
"Population": "Adults aged 65 years and older",
"Measure Type": "Prevalence (crude and age-adjusted)",
"Model-based measure": "A multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults aged 65 years and older who report having lost all of their natural teeth due to tooth decay or gum disease. The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Detailed methods are available here .",
"Time Period of Case Definition": "Current",
"Related Objectives or Recommendations": "Healthy People 2030 objective: OH-05. Reduce the proportion of adults aged 45 years and over who have lost all their teeth."
}
},
"definition_retrieved_at": "2026-10-29T23:56:05.321736+00:00"
}
},
"DISABILITY": {
"label": "Any disability among adults",
"unit": "%",
"universe": "All Adults",
"source_definition": {
"year": "2023",
"measure": "Any disability among adults",
"modeled": true,
"measureid": "DISABILITY",
"definition_url": "https://www.cdc.gov/places/measure-definitions/index.html",
"data_value_type": "Crude prevalence",
"data_value_unit": "%",
"datavaluetypeid": "CrdPrv",
"population_base": "Measure-specific eligible adult population; totalpop18plus is context, not a universal denominator",
"confidence_level": 0.95,
"official_definition": {
"url": "https://www.cdc.gov/places/measure-definitions/disability.html",
"title": "Any disability among adults",
"fields": {
"Population": "All Adults",
"Measure Type": "Prevalence (crude and age-adjusted)",
"Model-based measure": "A multi-level regression, post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults who said yes to at least one of six disability questions below: \r\n “Are you deaf or do you have serious difficulty hearing?” “Are you blind or do you have serious difficulty seeing, even when wearing glasses?” “Because of a physical, mental, or emotional condition, do you have serious difficulty concentrating, remembering, or making decisions?” “Do you have serious difficulty walking or climbing stairs?” “Do you have difficulty dressing or bathing?” “Because of a physical, mental, or emotional condition, do you have difficulty doing errands alone, such as visiting a doctor´s office or shopping?”. \r\n The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Detailed methods are available here .",
"Time Period of Case Definition": "Current"
}
},
"definition_retrieved_at": "2026-10-29T23:56:05.335663+00:00"
}
},
"ARTHRITIS": {
"label": "Arthritis among adults",
"unit": "%",
"universe": "All Adults",
"source_definition": {
"year": "2023",
"measure": "Arthritis among adults",
"modeled": true,
"measureid": "ARTHRITIS",
"definition_url": "https://www.cdc.gov/places/measure-definitions/index.html",
"data_value_type": "Crude prevalence",
"data_value_unit": "%",
"datavaluetypeid": "CrdPrv",
"population_base": "Measure-specific eligible adult population; totalpop18plus is context, not a universal denominator",
"confidence_level": 0.95,
"official_definition": {
"url": "https://www.cdc.gov/places/measure-definitions/health-outcomes.html",
"title": "Arthritis among adults",
"fields": {
"Notes": "Doctor-diagnosed arthritis is self-reported and is not confirmed by a health care provider or objective monitoring.",
"Summary": "During 2016–2018, an estimated 58.5 million U.S. adults aged ≥18 years had arthritis, 25.7 million of whom reported an arthritis-attributable activity limitation. 1 Projections suggest that by 2040, an estimated 78 million adults will have arthritis. 2 Arthritis has a profound economic, personal, and societal impact in the United States. In 2013, the total national arthritis-attributable medical care costs and earnings losses among adults with arthritis were $303.5 billion. 3 Monitoring the burden of arthritis is important for estimating the state-specific need for interventions that reduce symptoms, improve physical function, and improve the quality of life for people with arthritis.",
"Population": "All Adults",
"Measure Type": "Prevalence (crude and age-adjusted)",
"Model-based measure": "A multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability of having arthritis (reporting ‘yes’ to the question: “Have you ever been told by a doctor or other health professional that you have some form of arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia?”) The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Detailed methods are available here .",
"Time Period of Case Definition": "Lifetime",
"Related Objectives or Recommendations": "None"
}
},
"definition_retrieved_at": "2026-10-29T23:56:05.339240+00:00"
}
},
"CANCER": {
"label": "Cancer (non-skin) or melanoma among adults",
"unit": "%",
"universe": "All Adults",
"source_definition": {
"year": "2023",
"measure": "Cancer (non-skin) or melanoma among adults",
"modeled": true,
"measureid": "CANCER",
"definition_url": "https://www.cdc.gov/places/measure-definitions/index.html",
"data_value_type": "Crude prevalence",
"data_value_unit": "%",
"datavaluetypeid": "CrdPrv",
"population_base": "Measure-specific eligible adult population; totalpop18plus is context, not a universal denominator",
"confidence_level": 0.95,
"official_definition": {
"url": "https://www.cdc.gov/places/measure-definitions/health-outcomes.html",
"title": "Cancer (non-skin) or melanoma among adults",
"fields": {
"Notes": "Doctor-diagnosed cancer is self-reported and is not confirmed by a healthcare provider or objective monitoring. This measure is not specific to cancer type.",
"Summary": "Malignant neoplasms (ICD-10: C00-C97) accounted for 608,371 deaths (18.5 % of total deaths) among U.S. adults in 2022. 19 Overall cancer death rates continued to decline among men, women, children, and adolescents and young adults in every major racial and ethnic group in the United States from 2015 to 2019. 20 Among people who develop cancer, more than 69% will be alive in 5 years. 21 Yet, cancer remains a leading cause of death in the United States, second only to heart disease. 19",
"Population": "All Adults",
"Measure Type": "Prevalence (crude and age-adjusted)",
"Model-based measure": "A multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability of having cancer (reporting ‘yes’ to the question: “Have you ever been told by a doctor, nurse, or other health professional that you had melanoma or any other types of cancer?” and “no” to the question, “Have you ever been told by a doctor, nurse, or other health professional that you had skin cancer that is not melanoma?”). The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Detailed methods are available here .",
"Time Period of Case Definition": "Past year",
"Related Objectives or Recommendations": "Healthy People 2030 objectives C-01, C-02, C-04, C-06, and C-08. 22"
}
},
"definition_retrieved_at": "2026-10-29T23:56:05.342759+00:00"
}
},
"CHOLSCREEN": {
"label": "Cholesterol screening among adults",
"unit": "%",
"universe": null,
"source_definition": {
"year": "2023",
"measure": "Cholesterol screening among adults",
"modeled": true,
"measureid": "CHOLSCREEN",
"definition_url": "https://www.cdc.gov/places/measure-definitions/index.html",
"data_value_type": "Crude prevalence",
"data_value_unit": "%",
"datavaluetypeid": "CrdPrv",
"population_base": "Measure-specific eligible adult population; totalpop18plus is context, not a universal denominator",
"confidence_level": 0.95,
"official_definition": {
"url": "https://www.cdc.gov/places/measure-definitions/prevention.html",
"title": "Cholesterol screening among adults",
"fields": {
"All Adults": "A multilevel regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among respondents aged ≥18 years who report having their cholesterol checked within the previous 5 years. The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Detailed methods are available here .",
"Prevalence (crude and age-adjusted)": "Previous 5 years",
"In 2023, among U.S. states, the District of Columbia, and territories, a median of 12.9% of adults aged ≥18 years had not had their cholesterol checked within the past 5 years or never had their cholesterol checked. 18 In 2017–2020, about 10% of adults aged 20 years and older had total cholesterol above 240 mg/dL. About 17% had high-density lipoprotein (HDL, or “good”) cholesterol levels below 40 mg/dL. 19 Slightly more than half of U.S. adults (54.5%, or 47 million people) who could benefit from cholesterol medicine are currently taking it. 20 High cholesterol commonly has no symptoms, so many people don’t know that their cholesterol is too high. Having high blood cholesterol raises the risk for heart disease, the nation's leading cause of death in 2021, and for stroke, the fifth leading cause of death. Lifestyle changes and medications can reduce cholesterol and prevent heart disease among people with elevated serum cholesterol. 21": "The validity and reliability of this measure can be low because patients might not be aware of the specific tests conducted on their blood samples collected in clinical settings."
}
},
"definition_retrieved_at": "2026-10-29T23:56:05.343613+00:00"
}
},
"COPD": {
"label": "Chronic obstructive pulmonary disease among adults",
"unit": "%",
"universe": "All Adults",
"source_definition": {
"year": "2023",
"measure": "Chronic obstructive pulmonary disease among adults",
"modeled": true,
"measureid": "COPD",
"definition_url": "https://www.cdc.gov/places/measure-definitions/index.html",
"data_value_type": "Crude prevalence",
"data_value_unit": "%",
"datavaluetypeid": "CrdPrv",
"population_base": "Measure-specific eligible adult population; totalpop18plus is context, not a universal denominator",
"confidence_level": 0.95,
"official_definition": {
"url": "https://www.cdc.gov/places/measure-definitions/health-outcomes.html",
"title": "Chronic obstructive pulmonary disease among adults",
"fields": {
"Notes": "The measure is based on being diagnosed by a physician and respondent recall of the diagnosis and may underestimate the true prevalence.",
"Summary": "In 2022, more than 17 million Americans (6.8%) reported that they have been diagnosed with COPD. 30 Major risk factors include tobacco smoking, occupational and environmental exposures, respiratory infections, and genetics. 31 Although there is no cure for COPD, it can be treated and managed to slow declining lung function, improve exercise tolerance, and prevent and treat exacerbations. 31",
"Population": "All Adults",
"Measure Type": "Prevalence (crude and age-adjusted)",
"Model-based measure": "A multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults who report having ever been told by a doctor, nurse, or other health professional they had chronic obstructive pulmonary disease (COPD), emphysema, or chronic bronchitis. The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Detailed methods are available here .",
"Time Period of Case Definition": "Lifetime",
"Related Objectives or Recommendations": "None"
}
},
"definition_retrieved_at": "2026-10-29T23:56:05.344409+00:00"
}
},
"COGNITION": {
"label": "Cognitive disability among adults",
"unit": "%",
"universe": "All Adults",
"source_definition": {
"year": "2023",
"measure": "Cognitive disability among adults",
"modeled": true,
"measureid": "COGNITION",
"definition_url": "https://www.cdc.gov/places/measure-definitions/index.html",
"data_value_type": "Crude prevalence",
"data_value_unit": "%",
"datavaluetypeid": "CrdPrv",
"population_base": "Measure-specific eligible adult population; totalpop18plus is context, not a universal denominator",
"confidence_level": 0.95,
"official_definition": {
"url": "https://www.cdc.gov/places/measure-definitions/disability.html",
"title": "Cognitive disability among adults",
"fields": {
"Population": "All Adults",
"Measure Type": "Prevalence (crude and age-adjusted)",
"Model-based measure": "A multi-level regression, post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability of having a cognitive disability (reporting ‘yes’ to the question: “Because of a physical, mental, or emotional condition, do you have serious difficulty concentrating, remembering, or making decisions?”). The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Detailed methods are available here .",
"Time Period of Case Definition": "Lifetime"
}
},
"definition_retrieved_at": "2026-10-29T23:56:05.345228+00:00"
}
},
"COLON_SCREEN": {
"label": "Colorectal cancer screening among adults aged 45–75 years",
"unit": "%",
"universe": null,
"source_definition": {
"year": "2022",
"measure": "Colorectal cancer screening among adults aged 45–75 years",
"modeled": true,
"measureid": "COLON_SCREEN",
"definition_url": "https://www.cdc.gov/places/measure-definitions/index.html",
"data_value_type": "Crude prevalence",
"data_value_unit": "%",
"datavaluetypeid": "CrdPrv",
"population_base": "Measure-specific eligible adult population; totalpop18plus is context, not a universal denominator",
"confidence_level": 0.95,
"official_definition": {
"url": "https://www.cdc.gov/places/measure-definitions/prevention.html",
"title": "Colorectal cancer screening among adults aged 45–75 years",
"fields": {
"Adults aged 45–75 years": "A multilevel regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults aged 45–75 years who report having one of the following: a fecal occult blood test (FOBT) within the previous year, a fecal immunochemical test (FIT)-DNA test within the previous 3 years, a sigmoidoscopy within the previous 5 years, a sigmoidoscopy within the previous 10 years with a FIT in the past year, a colonoscopy within the previous 10 years, or a CT colonography (virtual colonoscopy) within the previous 5 years. The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Detailed methods are available here .",
"Prevalence (crude and age-adjusted)": "Previous year for FOBT alone, previous 3 years for FIT-DNA test alone, previous 5 years for sigmoidoscopy alone, 10 years for a sigmoidoscopy combined with a FIT in the past year, 10 years for a colonoscopy alone, and every 5 years for CT colonography (virtual colonoscopy) alone.",
"Colorectal cancer is a leading cause of cancer incidence and death. 22 In 2021, nearly 142,000 people were diagnosed with colorectal cancer. 26 In 2022, more than 54,000 people died from the disease. 22 Screening can prevent colorectal cancer by detecting and removing precancerous polyps and can detect cancer early when treatment is more likely to be effective. The U.S. Preventive Services Task Force recommends that adults aged 45-75 be screened for colorectal cancer. 27 There are different time intervals and several types of tests for colorectal cancer screening, such as stool tests (including one that detects altered DNA in the stool), flexible sigmoidoscopy, colonoscopy, and computed tomography (CT) colonoscopy (or virtual colonoscopy). 27": "In May 2021, the U.S. Preventive Services Task Force changed its colorectal cancer screening recommendation. The age at which adults at average risk of getting colorectal cancer were recommended to begin screening was lowered from 50 to 45. 27 The 2020 BRFSS colorectal cancer screening questions changed to list five test types (FIT, sigmoidoscopy, colonoscopy, FIT-DNA, and CT colonography) instead of three test types (FIT, sigmoidoscopy, and colonoscopy). Estimates of people getting colorectal cancer screening since 2021 are not comparable to previous years. Recommendations for colorectal cancer screening are not always consistent among national groups. Survey questions are part of the BRFSS rotating core (even years)."
}
},
"definition_retrieved_at": "2026-10-29T23:56:05.346486+00:00"
}
},
"CHD": {
"label": "Coronary heart disease among adults",
"unit": "%",
"universe": "All Adults",
"source_definition": {
"year": "2023",
"measure": "Coronary heart disease among adults",
"modeled": true,
"measureid": "CHD",
"definition_url": "https://www.cdc.gov/places/measure-definitions/index.html",
"data_value_type": "Crude prevalence",
"data_value_unit": "%",
"datavaluetypeid": "CrdPrv",
"population_base": "Measure-specific eligible adult population; totalpop18plus is context, not a universal denominator",
"confidence_level": 0.95,
"official_definition": {
"url": "https://www.cdc.gov/places/measure-definitions/health-outcomes.html",
"title": "Coronary heart disease among adults",
"fields": {
"Notes": "The measure is based on being diagnosed by a physician and respondent recall of the diagnosis and might underestimate the true prevalence.",
"Summary": "Coronary heart disease (also called ischemic heart disease) is caused by plaque buildup on the arteries. These blockages can limit the amount blood and oxygen the heart receives causing cause chest pain or angina. Coronary heart disease may present as an acute myocardial infarction which happens when the blood flow to a part of the heart is blocked by plaque. Approximately 20.5 million adults aged ≥20 years have CHD (about 7.1%) (NHANES 2017–2020) with men (8.7%) more commonly affected than women (5.8%). 23 CHD is the largest category of heart disease mortality with 371,506 people killed in 2022. 19 The estimated direct and indirect cost of heart disease in 2018 to 2019 (average annual) was $239.9 billion. 23 Timely, effective treatment for heart attacks can reduce the risk for long-term disability and death. 32",
"Population": "All Adults",
"Measure Type": "Prevalence (crude and age-adjusted)",
"Model-based measure": "A multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults who report ever having been told by a doctor, nurse, or other health professional that they had angina or coronary heart disease. The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Detailed methods are available here .",
"Time Period of Case Definition": "Lifetime",
"Related Objectives or Recommendations": "Healthy People 2030 objective HDS-2: Reduce coronary heart disease deaths."
}
},
"definition_retrieved_at": "2026-10-29T23:56:05.347403+00:00"
}
}
}
},
"coverage_limitations": {
"cdc-places": [
"US only; no Canadian coverage"
]
},
"native_area_contexts": {},
"commuting_flows": []
}Captured 2026-11-03. Excerpt omits pagination credentials and may shorten nested records. Download verified source responses.
Coverage and interpretation
Coverage is limited to published source geographies and releases. Missing, suppressed and unavailable observations must not be treated as zero.
The active release shown here is a catalog snapshot. Check the live catalog and response provenance for current readiness. The underlying public source and Geoamcan access terms are separate; consult the source’s licensing and attribution requirements.
Source and methodology
Source: CDC. Geoamcan is an independent API provider, with no agency affiliation or endorsement. Read our data methodology for source handling, geographic joins and update practices.
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