simplemaplab

Population Within Radius

By Marko Visic · Updated Oct 7, 2026

Calculate total US population, density, and demographics inside any circular area. Median income, age, education, housing, top counties, and top postal places. Free, no sign-up.

Population Within Radius

Calculate total population and demographics for any circular area in the US

🇺🇸United States only

mi
Quick:
Loading map (41,545 ZIPs)...
5,099,559people13counties102postal places1,963mi²

Enter an address, use GPS, or click on the map to calculate the population and demographics inside your radius.

5,099,559people
POPULATION DENSITY
2,597/mi²
HOUSING UNITS
1,961,825
SEARCH AREA
1,963 mi²
ZIP CODES
236
POSTAL PLACES
102
COUNTIES
13
STATES
3
Demographics (population-weighted averages)
Median Income
$132,360
per household
Median Age
38.4
years
Median Home Value
$637,618
owner-occupied
Median Rent
$2,135
per month
Home Ownership
62%
of households
College Educated
56.1%
bachelor's+
Poverty Rate
8.8%
below poverty line
Avg Commute
31.3
minutes
Top counties by population
1. Fairfax, VA1,173,352 (23.0%)
2. Montgomery, MD1,029,756 (20.2%)
3. Prince George's, MD950,804 (18.6%)
4. District of Columbia, DC681,294 (13.4%)
5. Prince William, VA253,810 (5.0%)
6. Arlington, VA236,745 (4.6%)
7. Anne Arundel, MD202,853 (4.0%)
8. Howard, MD185,045 (3.6%)
9. Alexandria, VA153,467 (3.0%)
10. Charles, MD114,246 (2.2%)
Top postal places by population
1. Washington, DC680,911 (13.4%)
2. Alexandria, VA345,048 (6.8%)
3. Silver Spring, MD309,699 (6.1%)
4. Arlington, VA235,798 (4.6%)
5. Woodbridge, VA215,005 (4.2%)
6. Hyattsville, MD171,875 (3.4%)
7. Fairfax, VA167,374 (3.3%)
8. Rockville, MD145,330 (2.8%)
9. Gaithersburg, MD143,733 (2.8%)
10. Falls Church, VA122,581 (2.4%)
ZIP codes in radius (236)
373 PO-box and single-business ZIPs in this circle aren't listed.
SimpleMaps has no population for 31 of the listed ZIPs, so they aren't counted in the total.
ZIPCityCountyStatePopulationDensityDist (mi)
22193WoodbridgePrince WilliamVA81,5881,72324.84
22191WoodbridgePrince WilliamVA73,6231,84323.15
20002WashingtonDistrict of ColumbiaDC72,3975,4422.83
20906Silver SpringMontgomeryMD70,5952,14112.57
20011WashingtonDistrict of ColumbiaDC67,4344,8553.25
20878GaithersburgMontgomeryMD66,1151,24818.22
20019WashingtonDistrict of ColumbiaDC63,3803,9885.21
20874GermantownMontgomeryMD62,7381,06820.74
22030FairfaxFairfaxVA61,3321,21817.07
22192WoodbridgePrince WilliamVA59,7941,20221.64
20904Silver SpringMontgomeryMD58,6461,64911.41
22003AnnandaleFairfaxVA57,7551,76510.89
20744Fort WashingtonPrince George'sMD54,44180610.99
20772Upper MarlboroPrince George'sMD54,31928916.93
20902Silver SpringMontgomeryMD54,2612,7709.44
20020WashingtonDistrict of ColumbiaDC53,0054,4504.57
22204ArlingtonArlingtonVA51,9214,8684.63
20774Upper MarlboroPrince George'sMD51,81657414.56
20171HerndonFairfaxVA51,2861,70519.46
20854PotomacMontgomeryMD50,49857713.24
20850RockvilleMontgomeryMD50,3531,37714.86
20783HyattsvillePrince George'sMD50,3333,3297.37
20009WashingtonDistrict of ColumbiaDC50,15014,6910.88
22304AlexandriaAlexandriaVA48,6133,8737.71
20852RockvilleMontgomeryMD48,1802,30411.03
20910Silver SpringMontgomeryMD45,9433,8606.57
22015BurkeFairfaxVA44,6472,03115.53
20001WashingtonDistrict of ColumbiaDC44,6168,4141.03
21044ColumbiaHowardMD44,1141,43322.51
20170HerndonFairfaxVA43,8661,93519.15
20164SterlingLoudounVA43,4362,20520.61
20120CentrevilleFairfaxVA42,89692124.09
20706LanhamPrince George'sMD42,6121,63710.78
20743Capitol HeightsPrince George'sMD41,0931,6467.87
20032WashingtonDistrict of ColumbiaDC40,9203,0115.37
20748Temple HillsPrince George'sMD40,3381,6758.09
20785HyattsvillePrince George'sMD40,0661,5298.34
21045ColumbiaHowardMD40,0341,59423.52
22033FairfaxFairfaxVA39,5261,95118.8
20877GaithersburgMontgomeryMD38,5462,63818.07
20747District HeightsPrince George'sMD38,3011,8729.03
20111ManassasPrince WilliamVA38,12489723.83
20003WashingtonDistrict of ColumbiaDC37,4826,3683.05
22201ArlingtonArlingtonVA37,4736,3053.43
20735ClintonPrince George'sMD37,46455812.94
20817BethesdaMontgomeryMD37,4541,0308.71
20707LaurelPrince George'sMD37,2781,13815.39
22031FairfaxFairfaxVA37,2762,01912.44
21144SevernAnne ArundelMD37,11886824.28
20723LaurelHowardMD36,8661,09318.3
20740College ParkPrince George'sMD36,8471,6208.67
21113OdentonAnne ArundelMD36,70594820.05
22314AlexandriaAlexandriaVA36,6123,8196.98
20901Silver SpringMontgomeryMD36,4352,6308.04
22042Falls ChurchFairfaxVA35,4832,1348.95
22207ArlingtonArlingtonVA35,4792,1234.67
22079LortonFairfaxVA35,28447918.14
20886Montgomery VillageMontgomeryMD34,7183,26920.68
22309AlexandriaFairfaxVA34,3161,76013.52
20782HyattsvillePrince George'sMD34,2933,1145.55
20165SterlingLoudounVA34,0881,33721.33
20784HyattsvillePrince George'sMD33,8313,1568.45
20814BethesdaMontgomeryMD32,7952,8407.64
20016WashingtonDistrict of ColumbiaDC32,7302,8523.63
22153SpringfieldFairfaxVA32,6641,42415.48
20853RockvilleMontgomeryMD31,8511,36213.84
20603WaldorfCharlesMD31,84475919.46
20010WashingtonDistrict of ColumbiaDC31,80812,3431.78
20721BowiePrince George'sMD31,03271213.37
20191RestonFairfaxVA31,0111,54417.03
22101McLeanFairfaxVA30,9539127.23
22306AlexandriaFairfaxVA30,6021,74110.83
20815Chevy ChaseMontgomeryMD30,5052,1875.74
22315AlexandriaFairfaxVA30,4042,13211.96
20008WashingtonDistrict of ColumbiaDC29,4343,6792.29
22032FairfaxFairfaxVA29,2401,56314.9
22102McLeanFairfaxVA29,18491610.78
22041Falls ChurchFairfaxVA29,1834,0616.96
22152SpringfieldFairfaxVA28,8141,84513.87
20705BeltsvillePrince George'sMD28,71376712.03
20745Oxon HillPrince George'sMD28,6051,6977.38
20770GreenbeltPrince George'sMD28,3841,50010.34
20602WaldorfCharlesMD28,33175623.65
22310AlexandriaFairfaxVA28,1361,6119.65
22150SpringfieldFairfaxVA27,9551,41612.32
20121CentrevilleFairfaxVA27,7881,23923.6
22182ViennaFairfaxVA27,78385912.88
22202ArlingtonArlingtonVA27,7152,7293.57
20708LaurelPrince George'sMD27,59387614.47
20746SuitlandPrince George'sMD27,1561,3867.98
20601WaldorfCharlesMD26,94521822.17
20715BowiePrince George'sMD26,91574016.88
22312AlexandriaFairfaxVA26,7682,0168.86
22203ArlingtonArlingtonVA26,5946,5424.86
22180ViennaFairfaxVA26,5681,74111.71
20876GermantownMontgomeryMD26,40694023.23
22043Falls ChurchFairfaxVA25,7502,1288.64
20912Takoma ParkMontgomeryMD25,7493,7115.5
21114CroftonAnne ArundelMD25,5901,71020.24
20832OlneyMontgomeryMD25,5531,02716.98
20879GaithersburgMontgomeryMD25,2641,13219.59
20720BowiePrince George'sMD25,01565514.85
20903Silver SpringMontgomeryMD24,8152,8108.41
20007WashingtonDistrict of ColumbiaDC24,6023,0742.22
20737RiverdalePrince George'sMD24,4892,9877.55
21076HanoverAnne ArundelMD24,26871324.72
20151ChantillyFairfaxVA22,61055121.93
20716BowiePrince George'sMD22,36275117.36
20190RestonFairfaxVA22,0121,94816.59
20017WashingtonDistrict of ColumbiaDC21,2083,6863.19
22206ArlingtonArlingtonVA20,7033,8785.17
22039Fairfax StationFairfaxVA19,62632118.51
20018WashingtonDistrict of ColumbiaDC19,5622,5033.68
20724LaurelAnne ArundelMD19,36939717.83
22311AlexandriaAlexandriaVA19,3374,8246.84
20895KensingtonMontgomeryMD19,1841,8188.56
20905Silver SpringMontgomeryMD19,00462314.27
22046Falls ChurchFalls ChurchVA18,1692,5757.83
20816BethesdaMontgomeryMD18,1401,9655.55
22124OaktonFairfaxVA18,09167615.81
22302AlexandriaAlexandriaVA18,0263,0696.04
22205ArlingtonArlingtonVA17,7382,5115.76
20613BrandywinePrince George'sMD17,5909420.48
20012WashingtonDistrict of ColumbiaDC17,5193,2794.95
20855DerwoodMontgomeryMD17,27951016.68
22305AlexandriaAlexandriaVA17,2144,9915.07
22066Great FallsFairfaxVA17,18525915.95
22151SpringfieldFairfaxVA17,0171,29211.76
22303AlexandriaFairfaxVA16,9223,3998.19
20794JessupHowardMD16,81467321.48
20695White PlainsCharlesMD16,40744022.27
21054GambrillsAnne ArundelMD16,38639821.32
20866BurtonsvilleMontgomeryMD15,98687815.04
20024WashingtonDistrict of ColumbiaDC15,8882,7962.25
22181ViennaFairfaxVA15,7601,09013.86
20015WashingtonDistrict of ColumbiaDC15,6531,7394.26
21046ColumbiaHowardMD15,60877221.17
20166SterlingLoudounVA14,94921223.36
20851RockvilleMontgomeryMD14,9462,27612.61
20124CliftonFairfaxVA14,37525620.96
22209ArlingtonArlingtonVA14,1547,2992.15
22308AlexandriaFairfaxVA14,0901,22712.33
22044Falls ChurchFairfaxVA13,9962,5237.21
20882GaithersburgMontgomeryMD13,75114123.17
20607AccokeekPrince George'sMD13,75027016.29
22301AlexandriaAlexandriaVA13,6653,8016.15
21029ClarksvilleHowardMD13,60731121.16
20781HyattsvillePrince George'sMD13,3522,0965.91
20037WashingtonDistrict of ColumbiaDC13,1566,9381.37
20005WashingtonDistrict of ColumbiaDC13,13111,6950.34
20194RestonFairfaxVA12,2751,52017.23
20755Fort George G MeadeAnne ArundelMD11,22541120.53
22060Fort BelvoirFairfaxVA10,64131315.36
22307AlexandriaFairfaxVA10,3431,2829.49
20841BoydsMontgomeryMD9,96914224.72
20710BladensburgPrince George'sMD9,8013,3896.42
20712Mount RainierPrince George'sMD9,5635,0594.58
21032CrownsvilleAnne ArundelMD8,85019824.84
20616Bryans RoadCharlesMD8,05732117.68
21035DavidsonvilleAnne ArundelMD7,8799821.5
20833BrookevilleMontgomeryMD7,86015920.67
20711LothianAnne ArundelMD7,7318821.86
20754DunkirkCalvertMD7,54518223.72
20769Glenn DalePrince George'sMD6,94741313.11
20837PoolesvilleMontgomeryMD6,6996424.45
20759FultonHowardMD6,62440718.03
20722BrentwoodPrince George'sMD6,2641,6445.08
20036WashingtonDistrict of ColumbiaDC4,6055,4770.25
21140RivaAnne ArundelMD4,4171,20424.44
20742College ParkPrince George'sMD4,3505,2097.83
22213ArlingtonArlingtonVA4,0212,6246.8
20776HarwoodAnne ArundelMD3,3155923.29
20057WashingtonDistrict of ColumbiaDC3,2297,9722.06
20777HighlandHowardMD3,22116518.86
20762Andrews Air Force BasePrince George'sMD3,13020711.12
20861AshtonMontgomeryMD2,89021616.66
20623CheltenhamPrince George'sMD2,76155615.65
20052WashingtonDistrict of ColumbiaDC2,73023,4850.82
20763SavageHowardMD2,60194219.69
21036DaytonHowardMD2,56915922.67
21737GlenelgHowardMD2,47418724
20860Sandy SpringMontgomeryMD2,03521816.83
22027Dunn LoringFairfaxVA1,9391,1759.97
20004WashingtonDistrict of ColumbiaDC1,8313,6441.01
20675PomfretCharlesMD1,7969722.4
20818Cabin JohnMontgomeryMD1,5396408.13
20064WashingtonDistrict of ColumbiaDC1,4422,8792.86
20006WashingtonDistrict of ColumbiaDC1,3621,4910.65
20059WashingtonDistrict of ColumbiaDC1,3384,7841.39
22211Fort MyerArlingtonVA9473402.77
20896Garrett ParkMontgomeryMD9321,0549.38
20658MarburyCharlesMD8667724.24
22125OccoquanPrince WilliamVA6811,73519.67
20889BethesdaMontgomeryMD5845797.15
20880Washington GroveMontgomeryMD57766817.75
20701Annapolis JunctionHowardMD5139020.32
20862BrinklowMontgomeryMD43010518.9
20373Naval Anacost AnnexDistrict of ColumbiaDC3832933.7
20812Glen EchoMontgomeryMD2766027.06
20390WashingtonDistrict of ColumbiaDC24622,4973.03
20868SpencervilleMontgomeryMD1984715.52
20899GaithersburgMontgomeryMD5720819.01
20319WashingtonDistrict of ColumbiaDC23652.97
20317WashingtonDistrict of ColumbiaDC15172.4
20422WashingtonDistrict of ColumbiaDC15501.99
20045WashingtonDistrict of ColumbiaDC——0.79
20204WashingtonDistrict of ColumbiaDC——1.92
20220WashingtonDistrict of ColumbiaDC——0.71
20230WashingtonDistrict of ColumbiaDC——0.93
20240WashingtonDistrict of ColumbiaDC——0.93
20245WashingtonDistrict of ColumbiaDC——1.04
20250WashingtonDistrict of ColumbiaDC——1.51
20260WashingtonDistrict of ColumbiaDC——1.75
20388Washington Navy YardDistrict of ColumbiaDC——3.33
20408WashingtonDistrict of ColumbiaDC——1.24
20415WashingtonDistrict of ColumbiaDC——0.93
20418WashingtonDistrict of ColumbiaDC——1.15
20427WashingtonDistrict of ColumbiaDC——0.67
20431WashingtonDistrict of ColumbiaDC——0.69
20510WashingtonDistrict of ColumbiaDC——1.9
20515WashingtonDistrict of ColumbiaDC——2.06
20520WashingtonDistrict of ColumbiaDC——1.06
20530WashingtonDistrict of ColumbiaDC——1.16
20535WashingtonDistrict of ColumbiaDC——1.05
20540WashingtonDistrict of ColumbiaDC——2.18
20542WashingtonDistrict of ColumbiaDC——2.41
20551WashingtonDistrict of ColumbiaDC——1.1
20560WashingtonDistrict of ColumbiaDC——1.28
20565WashingtonDistrict of ColumbiaDC——1.51
20566WashingtonDistrict of ColumbiaDC——1.23
20591WashingtonDistrict of ColumbiaDC——1.59
20771GreenbeltPrince George'sMD——11.78
20892BethesdaMontgomeryMD——7.39
20894BethesdaMontgomeryMD——7.06
22035FairfaxFairfaxVA——17.87
22214ArlingtonArlingtonVA——2.69
Definition
How does this calculate population?

It sums the population of every US ZIP Code Tabulation Area (ZCTA) whose centroid falls inside your radius, using US Census American Community Survey data. Demographics are population-weighted averages across the same ZIPs.

Coverage
How accurate is the data?

Population, income, age, housing, and education are from the American Community Survey 2024 5-year estimates via SimpleMaps. Distance uses the Haversine great-circle formula. The dataset's population layer covers 33,169 ZCTAs with Census population data (~330 million residents total). (The list covers ZIPs with a Census area (ZCTA); non-ZCTA USPS ZIPs — PO Box, unique-recipient, military — have no Census-tabulated population, so a note reports how many of them fall in the circle rather than listing them.)

Use case
When should I use this tool?

Use it for site selection, trade-area analysis, retail catchment estimation, demographic targeting, healthcare planning, real estate due diligence, and feasibility studies. Anywhere you need a population number plus context for a circular area.

Cost
Is the tool free?

Free, no sign-up. Each search runs on our server.

On this page

What this tool measures

Population within radius answers the question: "how many people live within X miles of this point?" — and goes beyond a single number to give you the full demographic picture of that area. Total population, density, median income, median age, home values, rent, education levels, poverty rate, commute time, plus the top counties and postal places inside the circle.

Under the hood, the tool sums every US ZIP Code Tabulation Area (ZCTA) whose centroid falls inside your radius and computes population-weighted averages of the underlying US Census American Community Survey data. The result is free, instant, and requires no sign-up.

This is the kind of analysis that powers retail site selection, healthcare catchment planning, real estate due diligence, marketing trade-area sizing, and feasibility studies. Anywhere you need to size and characterize a circular geography around a point.

How to use this tool

1
Set your center point
Click anywhere on the map, search an address or ZIP, or use "Use my location" to start from your GPS position. The marker is draggable — slide it to fine-tune the position without losing your radius.
2
Adjust the radius
Drag the small white handle on the east edge of the circle to expand or shrink, use the slider, type a distance, or click a preset (5/10/25/50/100 mi). Toggle miles/kilometers anytime — population, demographics, and breakdowns recalculate instantly.
3
Read the results
See total population, density, housing units, and population-weighted demographics — median income, age, home value, rent, education, poverty rate, commute time. Top 10 counties and postal places are ranked by share of total population. Export the underlying ZIPs to CSV.

Common search examples

Real numbers from this tool, useful as a sanity check before you run your own search. Income figures are population-weighted median household income.

CenterStateRadiusPopulationDensityMedian Income
New YorkNY10 mi7.3M23K/mi²$89K
Los AngelesCA10 mi3.5M11K/mi²$79K
ChicagoIL10 mi2.9M9.1K/mi²$80K
HoustonTX15 mi2.7M3.9K/mi²$70K
PhoenixAZ15 mi2.3M3.3K/mi²$79K
AtlantaGA15 mi2.0M2.8K/mi²$86K
DallasTX15 mi2.5M3.5K/mi²$79K
BostonMA10 mi1.8M5.8K/mi²$118K
SeattleWA10 mi1.2M3.8K/mi²$133K
DenverCO10 mi1.4M4.4K/mi²$91K

Typical population by region type

Population within the same radius varies enormously by region. Every cell below is computed from the same data for a named centre ZIP, at 5-, 25-, and 50-mile radii.

Region typeCentre ZIP5 mi25 mi50 mi
Dense urbanNew York, NY (10001)2.6M14.5M19.6M
Major metroChicago, IL (60601)719K5.6M9.3M
Mid-size cityTulsa, OK (74103)133K897K1.2M
Small townBend, OR (97701)43K180K258K
Rural / frontierEly, NV (89301)7K8K9K

Who uses population-within-radius

1. Retail site selection

Retailers picking new store locations need to know how many people live within a realistic drive of each candidate site, plus their income and household characteristics. A typical big-box retailer wants 100K+ residents within 5 miles and median household income above a target threshold.

EXAMPLE
Center: candidate strip mall in Plano, TX. Radius: 5 mi. Result: 317K residents, median income $111K, college rate 61%, density 4,031/mi² — strong match for an upscale fitness brand.

2. Healthcare catchment planning

Hospitals, urgent-care chains, and specialist clinics use radius population to estimate patient volume and plan facility expansions. CMS programs, certificate of need filings, and insurance contracts often require ZIP-coded reporting of primary service areas.

EXAMPLE
Center: existing hospital in Greenville, SC. Radius: 25 mi. Result: 958K residents, median age 39, poverty rate 12% — useful for projecting Medicare and Medicaid mix.

3. Real estate due diligence

Investors evaluating apartment complexes, retail centers, or office parks pull radius population and demographics as part of standard underwriting. The home value, rent, and home ownership figures provide quick context on the local housing market.

4. Marketing trade-area sizing

Marketers estimate addressable audience for billboards, local TV ads, and geo-targeted digital campaigns by pulling radius population around each location. The county breakdown maps onto designated marketing areas (DMAs) for media buys.

5. Feasibility studies and grant applications

Nonprofits and economic development agencies need defensible population numbers for grant applications, feasibility studies, and impact reports. The CSV export provides ZIP-level documentation of how the figure was computed.

6. Franchise and dealership planning

Franchisors and OEMs allocate exclusive territories based on population thresholds. A typical car dealership needs 200K residents in a 15-mile radius to justify the investment; a fast-food franchise might need 25K in a 3-mile radius.

7. School district and education planning

Charter schools and private school chains use radius population to estimate student pipeline. Combined with median income and education metrics, it helps decide which neighborhoods can support tuition or where to focus outreach.

8. Insurance underwriting and risk modeling

Insurance carriers use population density and demographics to model exposure inside a radius (think hurricane catastrophe modeling, wildfire WUI exposure, etc.). The numbers feed reinsurance treaties and rate filings.

Methodology

Population calculation

For each search, the tool iterates through every US ZIP in the SimpleMaps dataset, computes the great-circle (Haversine) distance from your center point to the ZIP's geometric centroid (the GIS centroid of the ZIP Code Tabulation Area), and includes the ZIP if that distance is ≤ your radius. Total population is the sum of populations of every included ZIP.

pop_total = Σ pop_i  for all ZIPs i where d(center, zip_i) ≤ R

d  = Haversine great-circle distance (Earth radius 3959 mi)
R  = your selected radius

Population-weighted demographics

Median income, median age, home value, college rate, and similar metrics are computed as population-weighted averages across the included ZIPs. A ZIP of 50,000 people contributes 10× more to the result than a ZIP of 5,000.

metric_avg = Σ (metric_i · pop_i) / Σ pop_i

Weighting by population is more honest than a simple unweighted average, which would let a tiny ZIP of 100 residents count as much as a metro of millions. Note that a population-weighted average of ZIP medians is an approximation, not a true median of the underlying households.

Density

Population density is total population ÷ geodesic area of the radius circle (in mi²). The radius circle is rendered as a true geodesic polygon using Turf.js (80 vertices), so its area accounts for Earth's curvature.

Limitations & accuracy notes

  • Centroid-based inclusion is binary. A ZIP whose centroid is just outside your radius is excluded entirely, even if 49% of its population technically lives inside the circle. Errors are largest for very large rural ZIPs.
  • Residential population only. The number is where people sleep, not where they work. Daytime population in dense business districts can be several times higher.
  • ACS lag. Census ACS estimates are 1–3 years out of date. For fast-growing or fast-shrinking areas, the actual current population may differ by 5–15%.
  • Population-weighted averages have caveats. Median of medians is not a true median. It's a defensible approximation for ZIP-level aggregation but a true area-level median would require microdata that isn't public.
  • Straight-line, not drive time. A 30-mile radius circle doesn't account for mountains, water, or road networks. Use a drive-time isochrone tool for routing or service-time analysis.
  • Not a substitute for compliance reporting. Use Census Bureau authoritative sources (data.census.gov) for legal, regulatory, or financial filings.

Glossary

Population-weighted average
An average that gives more influence to ZIPs with larger populations. A ZIP of 50,000 people contributes 10× more to the median income figure than a ZIP of 5,000.
ACS (American Community Survey)
The annual rolling US Census Bureau survey that produces the population, income, education, and housing estimates used by this tool. 1-year ACS releases come out each fall, 5-year combined releases each December.
ZCTA
ZIP Code Tabulation Area — Census polygons used to aggregate ACS data at the ZIP level. Most "ZIP code population" numbers in the US actually refer to ZCTAs.
Population density
People per square mile. Computed here as total population inside the radius ÷ the geodesic area of the radius circle.
Trade area
The geographic area from which a business draws most of its customers. Often defined as a radius around a store, with population and income used to estimate revenue potential.
Catchment area
A healthcare or service term for the geographic region served by a facility. Used in hospital network planning, school district analysis, and retail siting.
Median income
The household income such that half of households earn less and half earn more. Less skewed by very high earners than mean income, which is why Census uses it.
Daytime vs nighttime population
This tool reports residential (nighttime) population — where people sleep. Daytime population (where they work) can be 2–10× larger in dense business districts. Use commercial tools for daytime estimates.

Related tools and resources

For a list of every ZIP code (rather than aggregate stats) within a radius, use Find ZIP Codes in Radius. For a list of cities, use Find Cities in Radius. For drawing circles on a worldwide map without US data attached, use the Map Radius Tool. Browsing by state? Each state has a county directory:

CaliforniaTexasFloridaNew YorkPennsylvaniaIllinoisOhioGeorgiaNorth CarolinaMichiganNew JerseyVirginiaWashingtonArizonaMassachusettsTennessee

Frequently asked questions

It sums the population of every US ZIP Code Tabulation Area (ZCTA) whose centroid falls inside your radius. Each ZCTA contributes its full Census ACS population if its center is inside the circle, or zero if it is outside.
From the US Census Bureau American Community Survey (ACS), accessed via the SimpleMaps US ZIP Codes database (v1.95.1). This tool aggregates the 33,169 ZCTAs with Census population data (a subset of the 33,782 total ZCTAs — some ZCTAs have a polygon but no tabulated population). Non-ZCTA USPS ZIPs (PO Box, unique-recipient, military) are deliberately excluded because they have no Census-tabulated population to aggregate. Data refreshes annually as new ACS releases come out.
Within ~2–5% of true population for most areas. Sources of error: (1) the centroid-based inclusion misses ZIPs that partially overlap your circle, (2) ACS data lags by 1–3 years, and (3) very large rural ZIPs may have a centroid outside the circle even when most of their land is inside.
Yes. Every metric (median income, age, home value, college rate, etc.) is computed as a population-weighted average across the ZIPs in your radius. A ZIP of 50,000 people contributes 10× more to the result than a ZIP of 5,000.
Yes — drag the small white circular handle on the east edge of the radius circle. The visual updates live, and on release the population, demographics, and breakdowns recalculate. You can also use the slider, the input box, or the preset buttons.
The ZIP tool gives you a list of ZIPs (for mailing or targeting). This tool gives you the aggregate numbers — total population, density, demographics, top counties — for the same area. Both use the same underlying dataset; they answer different questions.
No. The number is residential (nighttime) population — where people sleep, per the Census. Daytime population in dense business districts can be 2–10× higher; daytime data requires a different commercial source.
Yes — type up to 500 mi (≈800 km) into the radius input. A 500-mile radius from central US can return 100M+ residents. Calculation remains instant.
No. The Census ACS dataset and ZCTA boundaries are US-only. For international population analysis, look at WorldPop, GHSL, or commercial demographic services.
Each dot is the centroid of one ZIP inside your radius. The dot size scales with population, and the color goes from light green (low density) to dark green (high density), giving a quick visual sense of where people are concentrated.
Yes. The "Download CSV" button exports every ZIP in your radius with population, density, median income, median age, county, city, and distance from center.
Total population inside your radius divided by the geodesic area of the radius circle (πr², adjusted for Earth's curvature). This is the average density across the circle, not a per-ZIP average.
Median household income — the household income such that half of households earn less and half earn more. We use median (not mean) because Census reports it that way and because it's less distorted by very high earners.
PO Box ZIPs and unique ZIPs (single buildings) have no residential population, so demographic fields for them are zero or missing. They're excluded from the population-weighted averages.
Population, income, education, and housing estimates come from the most recent annual US Census ACS release, with a typical 1–2 year lag. Data refreshes when the underlying SimpleMaps dataset publishes a new vintage.
It depends which figures. The ZIP lists come from the free SimpleMaps file under CC BY 4.0 — you may use and redistribute those rows commercially with attribution to SimpleMaps. The demographic aggregates (income, age, education, etc.) come from the licensed Comprehensive file, which does not permit redistributing a substantial portion of the database; use those figures as shown rather than as a redistributable dataset. The underlying US Census ACS statistics are public domain, so for bulk commercial redistribution you can also obtain them directly from the Census Bureau.
Search ignores state lines. ZIPs from multiple states are included, and a "States" stat card appears. The top-counties and top-postal-places lists span all states inside the circle.
Because the radius typically pulls in suburbs and adjacent towns, which often have different demographics than the urban core. A 25-mile radius around downtown San Francisco sweeps in higher-income suburbs that pull the median income above the city itself.
Yes — the map, drag-to-resize handle, hover popups, all stat cards, and CSV export work on phones and tablets.
Data sources & methodology

Population, density, household income, age, education, housing, race, and commute data from the SimpleMaps US ZIP Codes Database, derived from US Census Bureau ZIP Code Tabulation Areas (ZCTAs) and the American Community Survey (ACS). 33,169 ZCTAs with Census population data covering ~330 million US residents. Address autocomplete via Photon, reverse geocoding via Nominatim. Distances use the Haversine formula. Maps: MapLibre GL JS + OpenFreeMap tiles + Turf.js for the geodesic radius polygon.

ZIP code data: SimpleMaps US Zip Codes Database v1.95.1 (8 Jul 2026). ZIP lists use the free version (CC BY 4.0); demographics come from the licensed Comprehensive version. Population: American Community Survey 2024 5-year estimates. Coordinates are the geometric centroids of Census ZIP Code Tabulation Areas (2010 ZCTA boundaries).

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