Metro vs. Rural: Two Americas in the Data
Census HTOPS data reveals how metro and non-metro Americans differ on AI usage, food security, and employment.
The divide between metropolitan and non-metropolitan America is one of the defining features of the 2026 landscape. The Census HTOPS survey provides a data-driven look at how these two Americas compare across technology adoption, food security, and daily life.
AI Usage: Metro vs. Non-Metro
One might expect a large urban-rural digital divide in AI adoption, but the data tells a more nuanced story. Non-metro areas report 24.47% AI usage — essentially matching the national average of 24.07%.
However, individual metro areas show significant variation:
Highest AI adoption:
- Houston: 29.80% — energy sector tech investment may play a role
- Washington DC: 29.83% — government and contractor workforce with high digital literacy
- Chicago: 27.07% — diverse economy with strong tech presence
- Atlanta: 26.21% — growing tech hub in the Southeast
- Philadelphia: 26.27% — academic and pharmaceutical AI applications
Lowest AI adoption:
- New York: 14.08% — surprisingly low, possibly reflecting the city's large non-English-speaking and older populations
- Los Angeles: 21.51% — below average despite proximity to Silicon Beach
- Dallas: 23.57% — near the national average
- Miami: 23.55% — close to Dallas
New York's 14.08% stands out dramatically. Despite being a global media and finance capital, its AI adoption rate is nearly half the national average. This may reflect demographic factors: a large elderly population, significant immigrant communities, and income inequality that limits access for lower-income New Yorkers.
Employment Patterns
Employment varies significantly by region, with Census divisions as our geographic lens:
- East South Central (AL, KY, MS, TN): 59.06% employed — the highest rate
- New England (CT, ME, MA, NH, RI, VT): 59.00% — virtually tied
- Mountain (AZ, CO, ID, MT, NV, NM, UT, WY): 52.50% — the lowest rate
Nationally, 56.64% of adults are employed, with 65.64% of workers never teleworking, 14.70% sometimes, and 12.05% always working remotely.
The Two Americas Narrative — Complicated
The data complicates the simplistic "two Americas" narrative. Non-metro AI adoption matches metro averages. Some traditionally "rural" Census divisions like the West North Central lead in AI adoption (30.43%) and have moderate employment rates.
The real divides appear to be more about income and education than geography. Across the board, Americans earning $100K+ use AI at 25–27% rates regardless of whether they live in Houston or rural Iowa. The digital divide is becoming an economic divide that cuts across the metro/non-metro boundary.
What remains true: cost of living creates real differences in housing burden (1.61% rent behind in the Mountain region vs. 21.23% in the Middle Atlantic) and food access (5.30% food insecure in the West South Central vs. 9.46% in the Middle Atlantic). Geography matters — but perhaps less through a metro/rural lens than through a cost-of-living lens.
*Explore metro-level AI data on our AI page. Compare regions with our Compare tool.*
Data source: U.S. Census Bureau HTOPS, March 2026.