Global Population by ZIP code

Get global demographics data at administrative and ZIP code level

Population trends

55 years of historical and future population data at 5-year intervals.

Global coverage

Extensive country coverage, including hard-to-source geographies like China, Japan, Brazil, and Russia.

Accurate ZIP code mapping

Population data is available for ZIP codes and regions, and standardized across geographies.

Our Population Data Samples

isozip codepop1975pop2025pop2030square_km
US100012002223542242271.627949
US100027211784905875462.129734
US100034992658273602941.475585
US100043038355537441.111534
US100056277724474590.160261
US100062338291429270.250328
US100076369743376470.414131
US100095348962878647961.597301
US100102650331058320740.955077
US100114483452722543761.670544
US100122133625096258580.838118
US100132376427800286721.411006
US100142798633036340491.254836
US100164887257263594421.418998
US100171285115182156190.775065
US100184929591859530.888766
US100193541741706430621.697855
US100205771810.060382
US100213811644796462340.923488
US100222896734014350451.140709
US100235602265723675772.605523
US100245313162383645652.697514
US1002583909987421016322.302129
US100263055335819370820.992729
US100275184860853630432.441945
US100283923146064476710.819919
US100296827380124828973.036337
US100302411328184290620.71811
US100315014458796606701.733068
US100325178460757628201.742147
US100334641554473560781.5448
US100343458340731421142.659349
US100352922034460353113.63805
US100362200325781267111.158341
US100371503217632182350.602984
US100381699219906204060.732491
US100392083124588253020.774862
US100403701443635450381.468524
US100410110.011221
US100431812152200.00536
US10044962811294117170.595877
US100451341421560.003071
US100552330.003453
US100601100.000324
US100652815933164341831.08543
US100693301388040200.106198
US100752430428529295340.489567
US100801303963930.009949
US100812202392570.011246
US100907570.005125
ISOCountryLanguagePopLevelTypeNameRegion1Region2Region3ISO2gpc_id
NZNew ZealandEN52911980CountryNew Zealand20150764
NZNew ZealandEN5729781RegionsGreater WellingtonGreater WellingtonNZ-WGN20150834
NZNew ZealandEN1117912City CouncilsLower HuttGreater WellingtonLower HuttNZ-WGN20150836
NZNew ZealandEN648362City CouncilsPoriruaGreater WellingtonPoriruaNZ-WGN20150839
NZNew ZealandEN490152City CouncilsUpper HuttGreater WellingtonUpper HuttNZ-WGN20150841
NZNew ZealandEN591612District councilsKapiti CoastGreater WellingtonKapiti CoastNZ-WGN20150837
RORomâniaRO194213070CountryRomânia20162574
RORomâniaRO23403341RegiuniBucurești - IlfovBucurești - Ilfov20162575
RORomâniaRO18811902National capitalBucureștiBucurești - IlfovBucureștiRO-B20162576
RORomâniaRO2286533Sectoarele municipiuluiBucurești - Sectorul 1București - IlfovBucureștiBucurești - Sectorul 1RO-B20162577
RORomâniaRO3492833Sectoarele municipiuluiBucurești - Sectorul 2București - IlfovBucureștiBucurești - Sectorul 2RO-B20162578
TRTürkiyeTR864954280CountryTürkiye20178761
TRTürkiyeTR145073461Coğrafi bölgeleriİç Anadoluİç Anadolu20180346
TRTürkiyeTR63512392Büyükşehir BelediyelerAnkaraİç AnadoluAnkaraTR-0620180377
TRTürkiyeTR5317033Büyükşehir İlçe BelediyelerAltındağİç AnadoluAnkaraAltındağTR-0620180380
TRTürkiyeTR7841153Büyükşehir İlçe BelediyelerÇankayaİç AnadoluAnkaraÇankayaTR-0620180400
TRTürkiyeTR9586323Büyükşehir İlçe BelediyelerMamakİç AnadoluAnkaraMamakTR-0620180462
TRTürkiyeTR4666373Büyükşehir İlçe BelediyelerYenimahalleİç AnadoluAnkaraYenimahalleTR-0620180491
TZTanzaniaEN713700930CountryTanzania20182778
TZTanzaniaEN30297901MkoaDodomaDodomaTZ-0320182779
TZTanzaniaEN5820322WilayasDodoma TCDodomaDodoma TCTZ-0320182896
UAUkraineEN387440870CountryUkraine20186415
UAUkraineEN25892411Special municipalitiesKyivKyivUA-3020187109
UAUkraineEN25892412CitiesKyivKyivKyivUA-3020187120
UAUkraineEN25892413MunicipalitiesKyivKyivKyivKyivUA-3066475799
UAУкраїнаUK387440870CountryУкраїна20186415
USUnited StatesEN3434825260CountryUnited States20188365
USUnited StatesEN72101391StatesMassachusettsMassachusettsUS-MA20189603
USUnited StatesEN2666792CountiesBarnstableMassachusettsBarnstableUS-MA20189604
USUnited StatesEN1628102CountiesBerkshireMassachusettsBerkshireUS-MA20189605
USUnited StatesEN6589172CountiesBristolMassachusettsBristolUS-MA20189606
UYUruguayES34153920CountryUruguay20191570
UYUruguayES13503021DepartamentosMontevideoMontevideoUY-MO20191580
ZASuid-AfrikaAF616645530CountrySuid-Afrika20205732
ZASuid-AfrikaAF167922771ProvinsiesGautengGautengZA-GP20205800
ZASuid-AfrikaAF39876832Metropolitaanse MunisipaliteitStad TshwaneGautengStad TshwaneZA-GP20205802
ZASuid-AfrikaAF848563Main placesAkasiaGautengStad TshwaneAkasiaZA-GP60757321
ZASuid-AfrikaAF879373Main placesAtteridgevilleGautengStad TshwaneAtteridgevilleZA-GP60757329
ZASuid-AfrikaAF2053Main placesBabelegiGautengStad TshwaneBabelegiZA-GP60757298
ZASouth AfricaEN1397223Main placesSaulsvilleGautengCity of TshwaneSaulsvilleZA-GP60757314
ZASouth AfricaEN5452063Main placesSoshanguveGautengCity of TshwaneSoshanguveZA-GP60757341
ZASouth AfricaEN33953Main placesSoutpanGautengCity of TshwaneSoutpanZA-GP60757283
ZASouth AfricaEN557593Main placesStinkwaterGautengCity of TshwaneStinkwaterZA-GP60757282
ZASouth AfricaEN159463Main placesSuurmanGautengCity of TshwaneSuurmanZA-GP60757296
ZASouth AfricaEN829983Main placesTembaGautengCity of TshwaneTembaZA-GP60757287
ZASouth AfricaEN25863Main placesThembisileGautengCity of TshwaneThembisileZA-GP60757342
ZASouth AfricaEN16643Main placesTierpoortGautengCity of TshwaneTierpoortZA-GP60757300
ZASouth AfricaEN40103Main placesTsebeGautengCity of TshwaneTsebeZA-GP60757286

SOLUTIONS

Typical use cases for population by ZIP code

Sales & Marketing

Ad targeting

Market intelligence

Customer analytics

Marketing campaign analysis

Territory mapping

Demand forecasting

Sales territory mapping

Retail site selection

Reporting

Historical population data

Historical, present, and future estimates for 247 countries. Leverage Population Trends which record changes in Population Density, Tracks Migration and Urbanization Patterns with data spanning 55 years.

From 1975 to 2030 with 5 year intervals

Population at ZIP code and administrative level

Optimized for easy integration. Our population data is aggregated following a seamless hierarchical structure starting from the most detailed layer to the broadest.

Highest quality

Our population data results from aggregating reliable census sources with our curated Boundaries Database.

HOW DOES IT WORK

Why choose our Population database?

GeoPostcodesOther providers
Optimized at all administrative levelsYESNO
Historical and future trends55 YEARSLIMITED
Easy customizationYESLIMITED
Ready to useYESNO
Additional attributesYESNO

Seamless integration in your system

Our self-hosted database is standardized and pre-aggregated by zip code and administrative areas, making it ready to use in your visualization tools.

GeoPostcodes - Integration with other softwares

Rich attributes

Our population by zip code data can be enriched with country-specific information, time zones, multi-language, UNLOCODE, and IATA codes.

GeoPostcodes-Boundaries rich attributes

Unique expertise

Our team has 15 years of experience in Enterprise integration with an in-depth knowledge of each country's postal structure.

Reduce integration time by 30%

Why choose GeoPostcodes

Global coverage

Complete coverage across 247 countries, including hard-to-source geographies like China, Japan, Brazil, and Russia.

Highest quality

Built on extensive, authoritative sourcing with robust data engineering and quality control. Standardized and up-to-date.

Expert Consulting

With 15 years of experience, we guide your implementation and deliver data in the format that fits your system.

Frequently Asked Questions

Historical population estimates depend on the source methodology. GeoPostcodes provides global population data linked to ZIP codes, postal codes, and administrative divisions, with coverage spanning multiple decades. Public datasets—such as those from the United States Census Bureau—use the decennial census or the American Community Survey to generate aggregated demographic data.

Our global dataset fills international gaps using trusted sources and interpolation techniques. You can explore the historical year coverage on our Population Data product page.

Yes. Our dataset includes forward-looking population projections for many regions. While public U.S. datasets such as ACS and Census ZCTAs report historical or current values, our global population dataset provides long-term projections even for countries that do not use ZIP Code Tabulation Areas.

These projections help teams understand how populations evolve across ZIP codes, postal codes, and administrative subdivisions. Learn more in the Population Data product details.

Organizations rely on ZIP-level and postal-code-level population counts for:

  • Market sizing
  • Demand forecasting
  • Demographic segmentation
  • Planning and territory optimization
  • Site selection and service-area modeling

Analysts often combine demographic indicators—such as median age, household structure, or age ranges—with postal geographies to support planning projects. When working in the U.S., population counts at ZIP level are often compared with ZCTA-based ACS data, keeping in mind that ZCTAs are statistical approximations.

For more on how geography and postal structures support demographic analysis, see Zip Code Analysis.

You can match population values by joining ZIP code or administrative identifiers to geographic shapes such as polygons or shapefiles.

  • ZCTAs (from the Census Bureau) are designed for statistical analysis
  • USPS ZIP codes are designed for operational routing and do not act as demographic units

Because ZIPs and ZCTAs differ, analysts must choose the correct geography based on whether they prioritize delivery accuracy or demographic precision.

For boundary layers compatible with ZIP-based or admin-based analysis, see our Postal and Administrative Boundaries products.

No. USPS ZIP codes are built for postal routing, not demographic reporting. The Census Bureau creates ZIP Code Tabulation Areas (ZCTAs) to approximate ZIP-based population statistics. ZCTAs may:

  • Include areas not served by the USPS
  • Exclude boundaries used in routing
  • Generalize shapes that don’t correspond to real delivery zones

Because ZIPs and ZCTAs differ, analysts must choose datasets based on their needs: operational routing (ZIPs) or demographic estimation (ZCTAs).

For a clear overview of the differences between postal and statistical geographies, see our guide ZIP Code vs Postcode: Key Differences.

Get access to the population data now