New DC ward-level ACS economic dataset lands on Open Data DC

The District of Columbia’s open data portal has added a new dataset titled "ACS 5-Year Economic Characteristics DC Ward." The dataset compiles American Community Survey five-year economic estimates aggregated to the District’s ward boundaries and is available through Open Data DC. The release provides a consistent, ward-level view of economic indicators that local policymakers, neighborhood commissions, researchers, and service providers can use for planning and analysis.

Open Data DC hosts raw and tabulated government data to support transparency and local research. This new ward-level ACS extract presents economic measures tied to each of the District’s eight wards, letting users compare conditions across neighborhoods and track changes over the ACS five-year window. The dataset is formatted for download and analysis, enabling community groups and agencies to incorporate the figures into reports, grant applications, and neighborhood assessments.

What the dataset covers and how it’s structured

The dataset bundles ACS five-year estimates focused on economic characteristics. Those typically include measures such as employment status, household income, poverty status, and industry or occupation classifications. The data are aggregated to ward geography rather than census tracts or block groups, which aligns numbers with local political boundaries used by the Council and Advisory Neighborhood Commissions.

Because the dataset uses ACS five-year estimates, it emphasizes stability over the short-term volatility captured in one-year ACS releases. That makes it useful for planning, policy evaluation, and resource allocation where small-sample noise can be a problem. Open Data DC’s version packages these estimates with ward identifiers and includes metadata to explain variable definitions and limitations.

Who in DC is likely to use it

The ward-level dataset is immediately relevant to the DC Office of Planning, DC Council staff, Advisory Neighborhood Commissions, nonprofit service providers, academic researchers, and neighborhood associations. Council members and their staffs can use the figures to support local policy decisions, grant targeting, and constituent communications. ANCs and community groups can cite ward-specific estimates when advocating for neighborhood investments or services.

Local research centers and universities that study inequality, labor markets, or housing affordability in the District will find the dataset a helpful, comparable source for ward-focused analyses. Public agencies may also use the file to coordinate programs that target wards with particular economic profiles.

Open Data DC provides machine-readable downloads and documentation; users should review the dataset’s technical notes before combining the ward-level estimates with other geographies or time series to avoid misinterpretation.

City stakeholders monitoring neighborhood economic trends should expect collaborators—policy shops, advocacy groups, and Council offices—to reference the dataset in upcoming budget and planning cycles. As groups begin to interrogate the numbers, questions may emerge about small-sample margins of error and how ward boundaries intersect with service delivery areas.