Tool 1
Know Your Demographics
Who should your project serve?
Demographic data will help you determine who lives near your project and which communities have the greatest socioeconomic needs—and who might benefit most from equitable development.
Tool 1
Who should your project serve?
Demographic data will help you determine who lives near your project and which communities have the greatest socioeconomic needs—and who might benefit most from equitable development.
Share the tool
Download a PDF with demographic review instructions and tips.
Before you can set equity-based goals, you must build an informed understanding of your surrounding communities. This will help ensure your work repairs rather than exacerbates existing forms of inequity, particularly in communities impacted by structural racism. While much of your knowledge about the needs of surrounding communities will come from conversations with local community organizations, you should also build a holistic, data-informed understanding of local demographics, income, poverty, housing needs, and more using city-based Geographic Information Systems and free data visualization tools. This tool will help you begin this process.
User-friendly site to access US Census and American Community Survey data (free)
Map application with data from the 2020 US Census (free)
Map application that visualizes race and income anywhere in the United States, down to block-level data (free)
Create custom, multilayer maps using dozens of data points, from demographics such as age and race to health, housing, environmental, and economic indicators. (free basic Public Edition)
Mapping, analytics, and data visualization application for creating interactive maps (subscription)
Quick and easy access to historical (1790–2000) census data, with capability to create maps and reports (subscription)
Compiled by Harvard Graduate School of Design
Once you have a well-rounded demographic picture of your area, ask:
Who will the project impact the most?
Who are we already working with? Who are we leaving out?
What disparities (for example, in health outcomes, household income, access to transportation, housing affordability) exist around our project?
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