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Neighborhood-level data for Virginia and the National Capital Region.

Sub-county measures of health, housing, income, food, broadband, and more, placed on 2020 census geographies and the local districts people actually plan with. Open data, open code.

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Census block groups of Arlington County, Virginia, shaded from light to dark by density
Arlington County's 204 census block groups, the smallest geography most measures reach.
296 measures 11 geographic levels 2009–2025 16 topics previously the Social Impact Data Commons

Dashboards

Map any measure, step it through time, compare regions, and download exactly the slice you need. One dashboard for Virginia, one for the National Capital Region.

Open the dashboards

Data stories

How several measures, read together, answer a real local question: broadband affordability, urgent care access, minority business ownership, food insecurity.

Read the stories

How datasets are built

The community process that decides what to measure, and the pipeline that turns raw sources into standardized, documented, versioned datasets.

Our approach

Python packages

The open-source tools behind the data: census geography standardization, value redistribution between geographies, and spatial accessibility.

See the packages

What is a data commons?

A data commons is an open knowledge repository that co-locates data from a variety of sources, builds and curates data insights, and provides tools designed to track issues over time and geography. The Social Data Commons was built by the Social and Decision Analytics Division of the Biocomplexity Institute at the University of Virginia. It:

  • provides data, indicators, indices, case studies, and training;
  • analyzes the impact of social, economic, and health trends and major events;
  • enables ongoing learning from data;
  • addresses local issues of concern, such as food insecurity, health equity, and access to broadband.

Packages

Package What it does PyPI
sdc-census10to20 Redistribute 2010–2019 census data onto 2020 boundaries. pypi.org
sdc-redistribute Redistribute values between geographies (area- and parcel-weighted). pypi.org
sdc-catchment Floating catchment area spatial accessibility (2SFCA, E2SFCA, …). pypi.org 
# uv (recommended)
uv add sdc-census10to20

# pip
pip install sdc-census10to20