placestats

Median gross rent and Median household income

Where Median gross rent is higher, Median household income tends to be higher. The link is strong: +0.64 across 3,167 counties, on a scale from −1 (opposite) to +1 (in step). That figure compares places with the same population density, income and education, so those differences can't explain it. It holds inside states too. Measured separately within each of 41 states, the middle value of the link is +0.78.

Holds after adjusting

Every place, plotted

One dot for each place reporting both measures. Hover over or tap a dot to see its name and values. The thin line is the straight line that best fits the dots. The bold line, shown for counties, is the link after adjusting for density, income and education. A dot far from the lines is a place that does not follow the pattern.

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What each measure is

Median gross rent

The rent paid by the middle renting household, plus any utilities the renter pays. That is why it is called 'gross' rent, not just the rent in the lease.

Census ACS 5-year · ACS table B25064_001

Median household income

The income of the middle household: half of households earn more, and half earn less. It counts all money income before taxes. Since it is the middle value, not the average, a few very high incomes do not change it.

Census ACS 5-year · ACS table B19013_001

Highest and lowest

Where each measure is highest and lowest among the places reporting both (2023), with the other measure beside it. This is shown for every size of place where both are published. Metro-area values are added up from their counties. A measure that cannot be added up across counties, such as a middle value (median), has no metro figure. Counts are shown per 1,000 residents, since raw totals would only list the largest places. Cities and towns and ZIP codes are shown where the Census survey or the CDC publishes them; most other sources stop at the county. They are shown for places of 5,000 residents or more, and only where the survey’s margin of error is small enough for the figure to be usable. The CDC publishes its health estimates for cities in a version adjusted for age, so places with older or younger people can be compared fairly, but not for ZIP codes.

Counties

By median gross rent

Median gross rentMedian household income
Highest
San Mateo County, CA$2,893$156,000
Santa Clara County, CA$2,814$159,670
Marin County, CA$2,584$142,780
San Francisco County, CA$2,419$141,450
Orange County, CA$2,352$113,700
Lowest
Guánica Municipio, PR$330$16,210
Hardin County, IL$342$57,155
Worth County, MO$353$46,167
Las Marías Municipio, PR$358$16,170
Sheridan County, ND$373$67,361

By median household income

Median gross rentMedian household income
Highest
Loudoun County, VA$2,317$178,710
Santa Clara County, CA$2,814$159,670
San Mateo County, CA$2,893$156,000
Falls Church city, VA$2,205$154,730
Fairfax County, VA$2,230$150,110
Lowest
Las Marías Municipio, PR$358$16,170
Guánica Municipio, PR$330$16,210
Comerío Municipio, PR$536$17,254
Vieques Municipio, PR$424$17,531
Utuado Municipio, PR$466$17,624
States

By median gross rent

Median gross rentMedian household income
Highest
California$1,956$96,334
Hawaii$1,938$98,317
District of Columbia$1,900$106,290
Colorado$1,693$92,470
Massachusetts$1,687$101,340
Lowest
Puerto Rico$562$25,096
West Virginia$850$57,917
South Dakota$912$72,421
Arkansas$914$58,773
Mississippi$923$54,915

By median household income

Median gross rentMedian household income
Highest
District of Columbia$1,900$106,290
Maryland$1,662$101,650
Massachusetts$1,687$101,340
New Jersey$1,653$101,050
Hawaii$1,938$98,317
Lowest
Puerto Rico$562$25,096
Mississippi$923$54,915
West Virginia$850$57,917
Arkansas$914$58,773
Louisiana$1,038$60,023
Cities and towns

By median gross rent

Median gross rentMedian household income
Highest — 60 are at $3,500 or more; five shown.
Key Biscayne village, FL$3,500 or more$172,600
Nocatee CDP, FL$3,500 or more$131,490
Hickam Housing CDP, HI$3,500 or more$111,670
Inverness village, IL$3,500 or more$215,810
Lincolnwood village, IL$3,500 or more$107,950
Lowest
Guánica zona urbana, PR$300$14,772
Aguadilla zona urbana, PR$336$13,125
San Germán zona urbana, PR$404$16,052
Juana Díaz zona urbana, PR$404$19,075
Guayama zona urbana, PR$404$21,010

By median household income

Median gross rentMedian household income
Highest — 32 are at $250,000 or more; five shown.
Glencoe village, IL$2,097$250,000 or more
Hinsdale village, IL$1,981$250,000 or more
Winnetka village, IL$1,750$250,000 or more
Travilah CDP, MD$3,385$250,000 or more
Wellesley CDP, MA$2,849$250,000 or more
Lowest
Aguadilla zona urbana, PR$336$13,125
Guánica zona urbana, PR$300$14,772
Utuado zona urbana, PR$478$14,843
Manatí zona urbana, PR$431$15,912
Coamo zona urbana, PR$447$15,959
ZIP codes

By median gross rent

Median gross rentMedian household income
Highest — 67 are at $3,500 or more; five shown.
ZIP 10005 (New York city, NY)$3,500 or more$211,810
ZIP 10007 (New York city, NY)$3,500 or more$250,000 or more
ZIP 10018 (New York city, NY)$3,500 or more$133,040
ZIP 10069 (New York city, NY)$3,500 or more$226,150
ZIP 10280 (New York city, NY)$3,500 or more$206,250
Lowest
ZIP 00913 (San Juan zona urbana, PR)$268$6,229
ZIP 00653 (Guánica Municipio, PR)$326$15,225
ZIP 00670 (Las Marías Municipio, PR)$355$16,278
ZIP 00638 (Ciales Municipio, PR)$404$20,878
ZIP 00606 (Maricao Municipio, PR)$405$20,226

By median household income

Median gross rentMedian household income
Highest — 36 are at $250,000 or more; five shown.
ZIP 10007 (New York city, NY)$3,500 or more$250,000 or more
ZIP 10282 (New York city, NY)$3,500 or more$250,000 or more
ZIP 10502 (Ardsley village, NY)$3,500 or more$250,000 or more
ZIP 10506 (Westchester County, NY)$3,188$250,000 or more
ZIP 10514 (Westchester County, NY)$2,758$250,000 or more
Lowest
ZIP 00913 (San Juan zona urbana, PR)$268$6,229
ZIP 00717 (Ponce zona urbana, PR)$492$13,282
ZIP 79901 (El Paso city, TX)$517$13,984
ZIP 00915 (San Juan zona urbana, PR)$517$14,502
ZIP 00653 (Guánica Municipio, PR)$326$15,225

Counties furthest from the pattern

Compared with the straight line that best fits all 3,174 counties: the five with far more median household income than their median gross rent would suggest, and the five with far less.

Median gross rentMedian household income
Above the line
Los Alamos County, NM$1,308$143,190
Calhoun County, IL$479$92,095
Loudoun County, VA$2,317$178,710
Oldham County, KY$1,142$121,490
Delaware County, OH$1,433$130,090
Below the line
Bronx County, NY$1,436$49,036
Miami-Dade County, FL$1,731$68,694
Hyde County, NC$1,237$47,338
Broward County, FL$1,804$74,534
Florida Municipio, PR$671$21,213

Two series, one county

Both measures over time for a county you pick. The two charts are stacked, so they share only the years along the bottom. You can pick from the thirty largest counties reporting both. This panel covers 2010–2024, and a measure published only once shows as a single dot.

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Every version of the link

Each row measures the same link, from −1 to +1, in a different way. If the rows mostly agree, the link does not depend on one choice of method.

Before adjusting for anything+0.7843,167 counties reporting both
After adjusting for density, income and education+0.639the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.608size taken out as well as density
Also comparing only within each state+0.600each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight+0.734the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 292 equally weighted counties
Middle value inside single states+0.779the link worked out inside each of 41 states with at least 20 counties reporting
Using ranks, after adjusting+0.538uses each county’s rank, not its value, so a few extreme counties cannot create the link

How much to believe it

Could it be chance?

The p-value is the chance of seeing a link this strong if there were really none. A value of 0.05 or less means the link is unlikely to be chance. Very small values are written in short form: 3.1e-16 means 0.00000000000000031, and the bigger the number after “e-”, the smaller the value. Treating every county as a separate case gives p = 0.000. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 3.9e-8. The site tested 20,910 pairs, and testing so many turns up some flukes. The q-value allows for that too. For this pair it is 0.000.

Do nearby places look alike?

Moran’s I measures how much nearby places look alike: 0 means no map pattern, and higher means neighbours are more similar. For the part of each county that the adjustment leaves unexplained, it is +0.45 (p = 0.001). That unexplained part still clusters on the map. So some regional factor shared by both measures is not accounted for.

Did they change together?

The figures above compare counties at one moment. This asks a different question: where median gross rent rose most, did median household incomemove too? Each county’s change is compared with the average change in its own state. That takes out ups and downs that hit a whole region at once. Each change is the gap between two estimates that both contain some error. That error pulls these links towards zero, so a weak one is weak partly for that reason. The q column shows whether a link could be a fluke, allowing for the many pairs tested: 0.05 or less means it is unlikely to be chance.

PeriodCountiesChange togetherWithin statesq
2014–2019 the main test: each Census survey figure averages five years, and these two do not overlap; before the pandemic3,179+0.15+0.13—
2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years3,154+0.19+0.16—

Both come from the American Community Survey, which asks a sample of households. Random error in a county's sample pushes both changes at once. So part of any agreement here is that shared error. It is shown, but not counted as a finding. How change is measured.

Related pairs

Association only. Nothing here shows that either measure changes the other. This describes counties, not the people in them. Two measures going together across places does not mean the same people have both. How the US county data works · Explore Median gross rent and Median household income