US state chronic-disease disparity signals (CDC CDI burden & equity tracker)
State-level chronic-disease signals derived from the CDC Chronic Disease Indicators: prevalence, mortality and hospitalization trends for diabetes, cardiovascular disease, COPD and mental health across 55 US states/territories (2019-2023), with year-on-year changes, momentum, 3-sigma anomaly flags vs a trailing 3-year baseline, naive-drift 1-year forecasts, cross-state momentum ranks, and Black-White and female-male disparity gaps. The monetizable health-equity signals layer on top of raw CDC chronic-disease statistics. Raw series: CDC Chronic Disease Indicators (Socrata).
Quality
Attribution
Centers for Disease Control and Prevention, Chronic Disease Indicators; derived signals by Frontier Data Hub
Schema
| Column | Type | Description |
|---|---|---|
| date | string | Reference year of the CDC Chronic Disease Indicator observation (yearstart; annual). |
| country | string | |
| country_code | string | |
| series_id | string | Connector series key: CDC CDI topic code | state/territory abbreviation | question code (e.g. DIA|CA|Q01). |
| series_label | string | State/territory name plus the CDC CDI question text, e.g. 'California — Diabetes among adults'. |
| value | float | Indicator value as published by CDC CDI (datavalue): prevalence in %, or rate per 100,000, depending on the question; see value_type for which form. |
| value_type | string | CDC CDI datavaluetype for this row (age-adjusted forms preferred for cross-state comparability). |
| yoy_change_pp | float | |
| yoy_change_pct | float | |
| volatility_30d | float | |
| momentum_3m | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| race_gap_black_white_pp | float | |
| sex_gap_female_male_pp | float |
Sample rows
| date | country | country_code | series_id | series_label | value | value_type | yoy_change_pp | yoy_change_pct | volatility_30d | momentum_3m | anomaly_flag | forecast_1m | rank | race_gap_black_white_pp | sex_gap_female_male_pp |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-01-01 | United States | USA | COPD|AK|Q03 | Alaska — Chronic obstructive pulmonary disease among adults | 4.6 | Age-adjusted Prevalence | — | — | — | — | 0 | — | — | — | -0.39999999999999947 |
| 2019-01-01 | United States | USA | COPD|AK|Q04 | Alaska — Chronic obstructive pulmonary disease mortality among adults aged 45 years and older, underlying cause | 81.7 | Age-adjusted Rate | — | — | — | — | 0 | — | — | — | 24.799999999999997 |
| 2019-01-01 | United States | USA | COPD|AK|Q05 | Alaska — Chronic obstructive pulmonary disease mortality among adults aged 45 years and older, underlying or contributing cause | 173.7 | Age-adjusted Rate | — | — | — | — | 0 | — | — | — | -11.099999999999994 |
| 2019-01-01 | United States | USA | COPD|AK|Q08 | Alaska — Current smoking among adults with chronic obstructive pulmonary disease | 54.4 | Age-adjusted Prevalence | — | — | — | — | 0 | — | — | — | 7.299999999999997 |
| 2019-01-01 | United States | USA | COPD|AK|Q18 | Alaska — Hospitalization for chronic obstructive pulmonary disease as any diagnosis, Medicare-beneficiaries aged 65 years and older | 42.77 | Age-adjusted Rate | — | — | — | — | 0 | — | — | 4.279999999999994 | 2.4399999999999977 |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/cdc_chronic_signals/us_state_chronic_disease_disparity_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/cdc_chronic_signals/us_state_chronic_disease_disparity_signals").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/cdc_chronic_signals/us_state_chronic_disease_disparity_signals
Tip: fetch /llms.txt for the full machine-readable catalog.