Upward Mobility Data Dashboard

The Upward Mobility Data Dashboard helps people understand key conditions affecting upward mobility from poverty and racial equity in communities.

The dashboard provides Mobility Metrics data for 24 predictors. The predictors are indicators that are strongly associated with upward mobility, according to the Upward Mobility Framework’s three-part definition of the term that encompasses long-term economic success, dignity and belonging, and power and autonomy. The predictors fall within one of five pillars, which represent supports people need from their communities to achieve upward mobility.

The dashboard shows a snapshot of these 24 predictors over time, across categories, and for every county and more than 480 cities in the US. People can use the predictors and their associated metrics to understand conditions in their communities, contextualize those conditions, establish priorities to mobilize action, and monitor progress.

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FAQ

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Search for specific communities

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Explore Mobility Metrics across the country

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Using Mobility Metrics data 

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Six Ways to Use the Mobility Metrics

The Mobility Metrics offer insights into a community’s strength across five essential pillars of support all people need to achieve upward mobility. But local leaders need to know how to use the metrics to be able to effect meaningful change.

Use the Metrics
How to Examine Your Mobility Metrics

Looking for guidance on examining and interpreting Mobility Metrics data for your community? This guide, and accompanying worksheet, offer five steps for getting started.

Get Started
Obtaining More Local Data

This resources offers suggestions for additional data sources that communities can combine with the Mobility Metrics to obtain a clearer picture of their mobility conditions.

Find More Data
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Suggested Citation

“Upward Mobility Data Dashboard,” Upward Mobility Initiative, Urban Institute, September 10, 2024, https://upward-mobility.urban.org/dashboard.

 

Project Credits

Research and Management

Samantha Fu, Madeline Brown, Tina Chelidze, Lee Evans, Sam Cressman, and Jordan Moeny 

Data 

Leadership: Claudia D. SolariAaron R. WilliamsTina ChelidzeJohn Walsh, and Greg Acs   

Contributors: Vincent PanciniEmily GutierrezManuel Alcalá KovalskiKassandra MartinchekJames CarterJung Hyun ChoiRebecca MarxJulia LongGabriel MorrisonRob PitingoloLily RobinAnne  N. JunodPaul JohnsonKeith FudgeBill PitkinEmily M. JohnstonKeqin WeiAlena SternJudah AxelrodErika TyagiKevin Werner, Erica Blom, Amy Rogin, Vivian Zheng, Nicole Dubois, and Peace Gwam

Design and Development 

Aleszu Bajak, Mitchell Thorson, Josh Miller, David Connell, Farnoosh Johnson, Christina Baird, and Anand Janardhanan

Greater Good Studio

Graphicacy

Writing and Editing 

Rachel Kenney, Sujin Hong, and Arezo Azizi 

 

More Information

Visit our data catalog to download the underlying data and accompanying data documentation. The code used to create these files is available on GitHub

For questions or feedback, email [email protected]