Total Residential Sales in Maryland from 2002-2019 based on data extracted from MDProperty View. To browse the MDProperty View, click here: https://planning.maryland.gov/MSDC/Pages/sale_data/saledata.aspx

The data consist of the median household income by year in Maryland and its jurisdictions with the margin of error for 2010-2022. MOE= Margin of Error for the 90% confidence interval. Source from the U.S. Census Bureau, Small Area Income and Poverty Estimates, November 2023.

Address Residential Units. This dataset contains residential units and attributes of Address points, created as part of the Master Address Repository (MAR) for the D.C. Residential units can be condominiums or also apartments. Office of the Chief Technology Officer (OCTO) and DC Department of Consumer and Regulatory Affairs . It contains the addresses in the District of Columbia which are typically placed on the buildings. More information on the MAR can be found at https://opendata.dc.gov/pages/addressing-in-dc.

Quarterly median house prices for metropolitan Adelaide by suburb

Sales tax allocation comparison summary reports present data on monthly local sales and use tax payments to local jurisdictions. These payments represent funds identified for local jurisdictions since the previous month’s distribution. When used with other local indicators, these reports may help indicate present and future economic trends. This table lists entities alphabetically by county name, then alphabetically by cities within the county. See https://comptroller.texas.gov/about/policies/privacy.php for more information on our agency’s privacy and security policies.

In 2017, the County Department of Economic Development, in conjunction with Reinvestment Fund, completed the 2016 Market Value Analysis (MVA) for Allegheny County. A similar MVA was completed with the Pittsburgh Urban Redevelopment Authority in 2016. The Market Value Analysis (MVA) offers an approach for community revitalization; it recommends applying interventions not only to where there is a need for development but also in places where public investment can stimulate private market activity and capitalize on larger public investment activities. The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional community boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies. The 2016 Allegheny County MVA does not include the City of Pittsburgh, which was characterized at the same time in the fourth update of the City of Pittsburgh’s MVA. All calculations herein therefore do not include the City of Pittsburgh. While the methodology between the City and County MVA's are very similar, the classification of communities will differ, and so the data between the two should not be used interchangeably. Allegheny County's MVA utilized data that helps to define the local real estate market. Most data used covers the 2013-2016 period, and data used in the analysis includes: •Residential Real Estate Sales; • Mortgage Foreclosures; • Residential Vacancy; • Parcel Year Built; • Parcel Condition; • Owner Occupancy; and • Subsidized Housing Units. The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources. During the research process, staff from the County and Reinvestment Fund spent an extensive amount of effort ensuring the data and analysis was accurate. In addition to testing the data, staff physically examined different areas to verify the data sets being used were appropriate indicators and the resulting MVA categories accurately reflect the market. Please refer to the report (included here as a pdf) for more information about the data, methodology, and findings.

,This dataset contains existing and approved residential boundaries in Cary, NC. For additional information on properties check out our website.,This dataset is updated as residential boundaries are changed.,

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