US Congressional District Urbanization Index (2022) - Free Download
FiveThirtyEight's urbanization index for every US Congressional district in the 2022 cycle, breaking down the share of each district's population living in rural, exurban, suburban, and urban areas. Contains 435 records. Download in Excel, CSV, PDF formats.
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💡 Key Takeaways
- Contains 435 records / 10 fields
- Available for free download in Excel, CSV, and PDF formats
- Data sourced from: https://github.com/fivethirtyeight/data
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⚠️ Showing first 20 of 435 records. Download the file for complete data.
| Stcd | State | Cd | Pvi 22 | Urbanindex | Rural | Exurban | Suburban | Urban | Grouping |
|---|---|---|---|---|---|---|---|---|---|
| NY-12 | NY | 12 | 67.84485 | 14.90340 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| NY-07 | NY | 7 | 62.84295 | 14.85414 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| NY-09 | NY | 9 | 51.11625 | 14.69678 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| NY-13 | NY | 13 | 77.13841 | 14.69063 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| NY-15 | NY | 15 | 70.80064 | 14.65565 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| NY-10 | NY | 10 | 69.15202 | 14.65300 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| NY-14 | NY | 14 | 56.85355 | 14.64697 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| NY-08 | NY | 8 | 52.59645 | 14.51535 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| NY-06 | NY | 6 | 30.68878 | 14.48450 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| NJ-08 | NJ | 8 | 44.81578 | 13.98660 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| CA-37 | CA | 37 | 72.12852 | 13.94794 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| CA-34 | CA | 34 | 63.64585 | 13.78271 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| NY-05 | NY | 5 | 61.75185 | 13.78018 | 0.00000 | 0.00000 | 8.82540 | 91.17460 | Dense Urban |
| IL-07 | IL | 7 | 70.01641 | 13.64136 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| PA-03 | PA | 3 | 77.42617 | 13.63714 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| CA-43 | CA | 43 | 63.03172 | 13.62739 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| NY-11 | NY | 11 | -10.66432 | 13.62688 | 0.00000 | 0.00000 | 1.26267 | 98.73733 | Dense Urban |
| CA-11 | CA | 11 | 71.46098 | 13.56329 | 0.00000 | 0.00000 | 0.00000 | 100.00000 | Dense Urban |
| MA-07 | MA | 7 | 73.41101 | 13.54608 | 0.00000 | 0.00000 | 4.52896 | 95.47105 | Dense Urban |
| NJ-10 | NJ | 10 | 56.45874 | 13.49694 | 0.00000 | 0.00000 | 1.17628 | 98.82372 | Dense Urban |