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Meaningful Neighborhood Data from the Driver's Seat

Dr. JMW
Sep 2, 20262 min read

eaningful data is data that you intentionally seek out to close specific gaps in information. The Neighborhood Deep-Dive Datasets service is built in the spirit of connecting leaders, advocates, and concerned citizens with robust data that is immediately useful to them and their objectives. We allow these patrons to hop in the driver’s seat, claim the data that they need, and tailor how the datasets are structured and delivered. 

In terms of content, patrons can access datasets organized around either housing affordability, socioeconomic stratification, or ethnoracial equity. The underlying purpose of the Housing Affordability Datasets is answering questions tied to which neighborhoods household-based income groups can afford. The purpose behind the Socioeconomic Stratification Datasets is straightforwardly sharing the socioeconomic facts for each neighborhood within a metropolitan area and how these neighborhoods are stratified. The purpose of the Ethnoracial Equity Datasets is presenting the facts on the relationship between neighborhood stratification, ethnoracial demography, and the degree of equity realized. We are also rolling out the ability to build a customized dataset.

This service also provides patrons with the ability to define the scope that makes the most sense to them. Our standard option provides data for the variables that anchor the dataset alongside other variables that help patrons build a firm understanding of recent neighborhood dynamics. However, the premium option includes all of the standard data while also providing additional context for understanding the social attributes and status indicators associated with neighborhoods. When it comes to style, we encourage patrons to place emphasis on what matters most to them by offering the choice between ensuring the quality of the neighborhood data or including as many neighborhoods as possible in the dataset. Regardless of the choice, we always provide data quality indicators for the variables anchoring each dataset. 

To learn more about how you can claim the neighborhood data that is most meaningful to you and your stakeholders, be sure to connect with us. 

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