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The Maryland Department of Housing and Community Development is proud to be at the forefront in implementing housing policy that promotes and preserves homeownership and creating innovative community development initiatives to meet the challenges of a growing Maryland. Through the Maryland Mortgage Program, the department has empowered thousands of Maryland families to realize the American dream of homeownership and for existing homeowners. The department’s rental housing programs increase and preserve the supply of affordable housing and provide good choices for working families, senior citizens, and individuals with special needs. Community development and revitalization programs like Neighborhood BusinessWorks, Community Legacy, and Main Street Maryland help our cities and towns remain rich, vibrant communities. The Maryland Department of Housing and Community Development remains committed to building on our past successes to maintain our reputation as an innovator in community revitalization and a national leader in housing finance. DISCLAIMER: Some of the information may be tied to the Department’s bond funded loan programs and should not be relied upon in making an investment decision. The Department provides comprehensive quarterly and annual financial information and operating data regarding its bonds and bond funded loan programs, all of which is posted on the publicly-accessible Electronic Municipal Market Access system website (commonly known as EMMA) that is maintained by the Municipal Securities Rulemaking Board, and on the Department’s website under Investor Information. More information accessible here: http://dhcd.maryland.gov/Investors/Pages/default.aspx

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The Opportunity Zones (OZ) program provides tax incentives for equity investments in businesses and commercial projects in designated Census Tracts. The District of Columbia's Opportunity Zone Marketplace is a platform where project sponsors, fund managers, investors, community members, and professional service providers can connect. The Marketplace includes listings of investment opportunities and OZ Community Corps service providers. This platform is managed by the Office of the Deputy Mayor for Planning and Economic Development (DMPED). DMPED assists the Mayor in the coordination, planning, supervision, and execution of economic development efforts in DC with the goal of creating and preserving affordable housing, increasing tax revenue, and creating jobs.

The Division of Housing and Community Development (DHCD) provides funding to developers to build and maintain affordable housing units throughout the city. This dataset includes all DHCD-funded housing projects completed since 1994 for which there is data.

,Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. This service is updated annually with American Community Survey (ACS) 5-year data.,,Contact: District of Columbia, Office of Planning. Email: planning@dc.gov,Geography: District of Columbia,Current Vintage: 2018-2022,ACS Table(s): DP03,Data downloaded from: Census Bureau's API for American Community Survey,Date of API call: January 2, 2024,National Figures: data.census.gov,,The United States Census Bureau's American Community Survey (ACS):,This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.,,Data Note from the Census:,Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.,,Data Processing Notes:,