![]() ![]() This is vital for community members and organizations who are interested in evaluating trend data by comparing year over year data. ![]() When Census boundaries change, as they did in the 2020 Census, D3 works diligently to translate and trace these changes from their geographies in the 2010 Census to the new geographies of the 2020 Census. For instance, our data portal State of the Detroit Child allows users to easily find out their community facts derived from the Census by census block, census tract, zip code, city, county, etc., with topics including but not limited to youth & family population, household size, sex, age, race, and ethnicity. Thus, knowing geographic changes always matters to residents, community leaders, and urban analysts.Īs Metro Detroit’s community data hub, D3 pays close attention to these boundary changes to provide the most accurate portrayal of Detroit communities using various urban data to help with evidence-based community planning decisions. Altogether, these decisions will shape many different aspects of every community until the release of the next Decennial Census. Population changes within an area impact many decisions, such as the distribution of hundreds of billions of dollars in federal funding, the redistricting of legislative districts, business investments, and community planning. For instance, the boundaries of geographies that are defined by the Census Bureau for statistical purposes, like that of census tracts and census blocks, are especially sensitive to population changes: a tract or block may be split into two when the population within has increased beyond a key threshold, or the geographies that have population decreased below a key threshold will be combined into one. Since each geographic area serves as a framework for understanding the Census data, boundary changes can raise an early indication of significant demographic changes. The goal is to “count everyone once, only once, and in the right place” to help reveal the up-to-date counts of population and housing units, as well as the social and economic trends in any geographic area. ![]()
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