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CDC chronic disease indicators: diabetes

U.S. state-level diabetes indicators from the CDC U.S. Chronic Disease Indicators set: diabetes prevalence among adults, diabetes and diabetic ketoacidosis mortality (underlying or contributing cause), and gestational diabetes among women with a recent live birth. Rows are indicator x state x year x demographic stratification.

Source: CDC U.S. Chronic Disease Indicators22,599 lignesMis à jour: 22/09/2026Licence: ODbL-1.0
diabetesunited-statescdcchronic-disease

Qualité

95.8

Attribution

Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health

Schéma

ColonneTypeDescription
datetimestampFirst day of the observation year (the provider's 'Starting year' column); CDI series are annual.
yearstartintegerStarting year
yearendintegerEnding year
series_idstringComposite key: question identifier | state abbreviation | response identifier | up to three stratification values.
series_labelstringHuman-readable series label: location, question text, response, and any stratifications.
valuefloatData Value, such as 14.7 or Category 1.
location_abbrstringLocation abbreviation
location_namestringLocation description
topicstringTopic
questionstringQuestion full-length text
data_sourcestringData source abbreviation
datavalue_unitstringThe unit, such as $, %, years, etc.
datavalue_typestringThe data type, such as prevalence or mean.
low_confidence_limitfloatLow confidence limit
high_confidence_limitfloatHigh confidence limit
stratification_category_1stringThe category of the stratification, such as Gender
stratification1stringThe stratification within the category, such as Male or Female
footnote_symbolstringFootnote symbol
footnotestringFootnote text

Exemple de lignes

dateyearstartyearendseries_idseries_labelvaluelocation_abbrlocation_nametopicquestiondata_sourcedatavalue_unitdatavalue_typelow_confidence_limithigh_confidence_limitstratification_category_1stratification1footnote_symbolfootnote
2019-01-01T00:00:0020192019DIA01|AK|-|Age 18-44|-|-Alaska — Diabetes among adults — - — Age 18-442AKAlaskaDiabetesDiabetes among adultsBRFSS%Crude Prevalence1.23.5AgeAge 18-44
2020-01-01T00:00:0020202020DIA01|AK|-|Age 18-44|-|-Alaska — Diabetes among adults — - — Age 18-442.4AKAlaskaDiabetesDiabetes among adultsBRFSS%Crude Prevalence1.53.7AgeAge 18-44
2021-01-01T00:00:0020212021DIA01|AK|-|Age 18-44|-|-Alaska — Diabetes among adults — - — Age 18-442.4AKAlaskaDiabetesDiabetes among adultsBRFSS%Crude Prevalence1.53.7AgeAge 18-44
2022-01-01T00:00:0020222022DIA01|AK|-|Age 18-44|-|-Alaska — Diabetes among adults — - — Age 18-442.9AKAlaskaDiabetesDiabetes among adultsBRFSS%Crude Prevalence2.24AgeAge 18-44
2023-01-01T00:00:0020232023DIA01|AK|-|Age 18-44|-|-Alaska — Diabetes among adults — - — Age 18-442.7AKAlaskaDiabetesDiabetes among adultsBRFSS%Crude Prevalence23.8AgeAge 18-44

Télécharger un échantillon

Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).

Utiliser avec un LLM

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/cdc_cdi/cdc_cdi_diabetes" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/cdc_cdi/cdc_cdi_diabetes").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

Point d’accès API: https://datazimuts.com/v1/datasets/cdc_cdi/cdc_cdi_diabetes

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.

CDC chronic disease indicators: diabetes