Purchases paused
CDC County-Year Mortality 1999–2016 — Under Review
Existing county-year mortality table; the advertised enrichment is unavailable.
Records: 55,855 county-year rows
Coverage: 1999–2016
Format: CSV + Parquet
Package uploaded: 2026-04-01
Listing reviewed: 2026-09-18
The upload and review dates do not extend the source coverage. This is a dated snapshot; future updates are not included.
New purchases are paused while the package or its advertised features are corrected. The public sample remains available for inspection.
View 1,000-row sampleNew annual update subscriptions are unavailable. Existing customers can use their purchase download links or contact support.
Known limitations
- New purchases are paused. There is one mortality table, with no SDOH or joined table.
- The file does not contain the advertised age, race, sex, cause-of-death or deprivation breakdowns. years_potential_life_lost is missing throughout.
- This snapshot supports county-year totals only. It cannot support the previously advertised demographic or cause-specific analyses.
Files in the existing snapshot
Row counts are per table and should not be added as independent events. Expand a file to see its delivered Parquet field names and types.
cdc_wonder_mortality.parquet — 55,855 rows · 13 fields
| Field | Type |
|---|---|
| record_id | int64 |
| county_fips | string |
| state_fips | string |
| county_name | string |
| state_name | string |
| year | int64 |
| deaths | int64 |
| is_suppressed | bool |
| population | int64 |
| crude_rate | double |
| mortality_tier | dictionary<values=string, indices=int8, ordered=1> |
| years_potential_life_lost | double |
| Notes | string |
Inspect the public CSV
import pandas as pd
df = pd.read_csv(
"https://huggingface.co/datasets/claritystorm/cdc-wonder-mortality/resolve/main/sample_1000.csv"
)
print(df.shape)
print(df.columns.tolist())
print(df.head())This CSV is a sample, not the full package. It does not establish complete historical coverage or represent every field’s missingness. License details are on the Hugging Face card.
Source: government source portal · Dataset changelog