# fivethirtyeight/data

Data and code behind the articles and graphics at FiveThirtyEight

Repository: https://github.com/fivethirtyeight/data
Canonical: https://ross.abutalabs.com/products/data
Homepage: https://data.fivethirtyeight.com/
Language: Jupyter Notebook
License: CC-BY-4.0
License Family: other
Topics: data
Last push: 2025-02-25T19:40:33+00:00

## Health v2 (maintenance only)
Score: 36/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 8, release rhythm 35, longevity 100
- inputs: {"age_days": 4552, "days_push": 554, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 17432, forks 11078 (observed 2026-08-28T04:11:19.663777+00:00)

## What it is
The official repository of datasets and code behind FiveThirtyEight's articles and graphics, published under CC-BY-4.0 (data) and MIT (code). It includes an index of published datasets covering politics, sports, economics, and culture.

## Use cases
- find datasets for data science practice projects
- reproduce FiveThirtyEight article analyses
- teach statistics and data visualization with real-world data
- build visualizations from published polling and forecast data
- check the methodology behind FiveThirtyEight stories

## When to choose
- you want well-documented, cleanly formatted real-world datasets
- you need example data for teaching or learning data analysis
- you want to verify or extend FiveThirtyEight's published analyses

## When to avoid
- you need up-to-date sports forecasts, which stopped updating in June 2023
- you need a live data API rather than static CSV files
- you need guaranteed ongoing dataset updates

## Facets
- artifact type: dataset
- maturity: maintenance
- function: data-science, data-visualization, analytics
- domain: data-science, data-visualization, analytics
- platform: cross-platform
- tags: open-data, journalism, csv, five-thirty-eight, statistics, public-datasets

## Member repositories
- fivethirtyeight/data (main) score 36

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:19.663777+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:02:57.665073+00:00, confidence not recorded.
  - readme: https://github.com/fivethirtyeight/data (fetched 2026-08-28T04:11:19.663777+00:00, sha df6cc1332e12)
  - homepage: https://data.fivethirtyeight.com/ (fetched 2026-08-29T08:01:02.866669+00:00, sha 5ebeb0b72523)
- Data as of 2026-08-30T08:39:29.467469+00:00.