Median rent-to-wage share: 18.5%.
Rental markets supported by many occupation wages
Direct BLS major-occupation medians show where at least half of published wage groups clear the same asking-rent screen.
The leading ten, with one metric encoded.
The chart stays intentionally narrow: it shows the ordering metric, while the table and counter-signals keep the rest of the decision visible.
The median of the ten displayed leaders, not a national threshold.
The table preserves the counter-metrics needed before opening a market brief.
Top twenty qualifying market areas.
Each row links to the full metro evidence. Figures retain the units and concepts named in the column headers.
| Rank | Market area | Median rent / wage | Groups clearing screen | Market rent | Largest-group wage |
|---|---|---|---|---|---|
| #1 | Weirton, WV | 18.5% | 86.4% | $781 | $44.3k |
| #2 | Mansfield, OH | 21.1% | 72.7% | $918 | $43.9k |
| #3 | Kokomo, IN | 21.2% | 71.4% | $1k | $75.9k |
| #4 | Johnstown, PA | 21.8% | 81.8% | $863 | $41k |
| #5 | Sheboygan, WI | 22.1% | 72.7% | $1.1k | $51.9k |
| #6 | Waterloo, IA | 22.5% | 77.3% | $996 | $50k |
| #7 | Decatur, IL | 22.5% | 77.3% | $1k | $57.7k |
| #8 | Wheeling, WV | 22.8% | 72.7% | $919 | $39.5k |
| #9 | Ames, IA | 23.1% | 77.3% | $1.1k | $30k |
| #10 | Grand Forks, ND | 23.2% | 68.2% | $1.1k | $47.6k |
| #11 | Oshkosh, WI | 23.6% | 68.2% | $1.2k | $57k |
| #12 | Terre Haute, IN | 23.7% | 77.3% | $989 | $27.7k |
| #13 | Muncie, IN | 23.8% | 70.0% | $979 | $28.1k |
| #14 | Green Bay, WI | 24.0% | 68.2% | $1.2k | $48k |
| #15 | Davenport, IA | 24.1% | 77.3% | $1k | $45.1k |
| #16 | Cape Girardeau, MO | 24.1% | 72.7% | $965 | $39.4k |
| #17 | Wausau, WI | 24.2% | 72.7% | $1k | $48.3k |
| #18 | Fond du Lac, WI | 24.3% | 63.6% | $1.2k | $51.2k |
| #19 | Battle Creek, MI | 24.3% | 68.2% | $1.1k | $48.5k |
| #20 | Saginaw, MI | 24.4% | 63.6% | $1.1k | $42.4k |
What this order means—and what it does not.
This is a repeatable screening order, not an investment recommendation, forecast or property-level estimate.
Inclusion and ordering rule: Include every current metropolitan statistical area whose exact OMB 23-01 CBSA code has a direct May 2025 OEWS all-occupations record, at least 20 major groups with published annual median wages and a current Zillow ZORI value. Micropolitan and OEWS nonmetropolitan areas do not enter.
How it is calculated
- Annualized asking rent is current monthly Zillow ZORI multiplied by 12; each occupation-group ratio divides that amount by the group's direct OEWS annual median wage.
- A group clears the descriptive support rule when annualized rent is at or below 30 percent of its median annual wage. The published group count remains the denominator; suppressed wages stay out rather than being estimated.
- Markets are ordered by the median rent-to-wage ratio across their available major groups. Employment counts, jobs per 1,000 and location quotients remain separate direct context, and no score is created.
Counter-signals to carry
- One worker's median wage is not household income: renters may have multiple earners, part-time work, transfers, debt or other resources and obligations.
- A strong wage ratio for a small occupation does not describe the typical local worker; the largest employment group and its published share remain visible.
- Current asking rent and May 2025 occupational wages have different reference periods, so the ratio is a named cross-source screen rather than a synchronized affordability estimate.
Limits before use
- OEWS covers wage-and-salary workers in nonfarm establishments and excludes the self-employed, most agriculture, private households and unpaid family workers.
- May 2025 estimates combine six survey panels collected over three years and use model-based estimation; employment counts are rounded and some employment or wage values are suppressed.
- ZORI describes a typical metro asking rent across available units, not the rent paid by workers in a particular occupation, household type, bedroom count or neighborhood.
Named releases behind this ranking.
Release period and pull date remain attached so a later refresh can reproduce a different order honestly.
Move from a market screen to a property test.
Open the market evidence first, then replace market-wide typicals with the candidate property’s actual price, rent and operating assumptions.