| --- |
| license: cc-by-4.0 |
| task_categories: |
| - tabular-regression |
| - tabular-classification |
| tags: |
| - healthcare |
| - mortality |
| - public-health |
| - epidemiology |
| - county-level |
| - united-states |
| pretty_name: CDC WONDER Compressed Mortality 1999-2016 |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # CDC WONDER Compressed Mortality 1999-2016 |
|
|
| 18 years of county-level mortality data from CDC WONDER Compressed Mortality File (1999-2016). |
| 55,000+ county x year records covering 3,100+ counties across all 50 US states and DC. |
| Includes deaths, population, crude death rates, mortality tiers (quintile-based), and computed Years of Potential Life Lost (YPLL). |
|
|
| | Records | Coverage | License | Updated | |
| |---------|----------|---------|---------| |
| | 55K+ county x year | 18 years, 3,100+ counties | CC-BY-4.0 | Annual | |
|
|
| ## Quick Start |
|
|
| ```python |
| import pandas as pd |
| df = pd.read_csv("hf://datasets/claritystorm/cdc-wonder-mortality/sample_1000.csv") |
| print(df.head()) |
| ``` |
|
|
| ## Schema |
|
|
| | Column | Type | Description | |
| |--------|------|-------------| |
| | record_id | int | Unique record identifier | |
| | county_fips | str | 5-digit county FIPS code | |
| | state_fips | str | 2-digit state FIPS code | |
| | county_name | str | County name and state | |
| | state_name | str | Full state name | |
| | year | int | Year (1999-2016) | |
| | deaths | int | Number of deaths | |
| | is_suppressed | bool | True if deaths < 10 (CDC suppression) | |
| | population | int | County population for that year | |
| | crude_rate | float | Deaths per 100,000 population | |
| | mortality_tier | str | Very Low / Low / Moderate / High / Very High | |
| | years_potential_life_lost | float | YPLL before age 75 | |
| |
| ## Use Cases |
| |
| - **Public health surveillance** -- county-level mortality trends across 18 years |
| - **Health equity research** -- geographic disparities in death rates by county and state |
| - **Epidemiological modeling** -- population-adjusted mortality rates with confidence intervals |
| - **Policy analysis** -- track mortality outcomes relative to county characteristics over time |
| - **ML/AI training** -- pre-cleaned, analysis-ready tabular data for predictive modeling |
| |
| ## Get the Full Dataset |
| |
| | Tier | Price | Includes | |
| |------|-------|----------| |
| | Sample | Free | 1,000 rows (this repo) | |
| | Complete | $129 | Full dataset, CSV + Parquet, commercial license | |
| | Annual | $249/yr | Complete + annual updates | |
| |
| [Purchase at claritystorm.com/datasets/cdc-wonder-mortality](https://claritystorm.com/datasets/cdc-wonder-mortality) |
| |
| ## Source |
| |
| CDC WONDER Compressed Mortality File, 1999-2016. |
| Centers for Disease Control and Prevention, National Center for Health Statistics. |
| All source data is US federal government work in the **public domain** (17 U.S.C. 105). |
| |
| Processed and enriched by [ClarityStorm Data](https://claritystorm.com). |
| |
