---
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).