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
US
10001
20410
24018
24761
1.673
US
10002
72505
85387
88203
2.441
US
10003
49254
57454
59468
1.443
US
10004
3431
3942
4327
1.162
US
10005
4606
5458
5505
0.153
US
10006
1828
2253
2309
0.125
US
10007
109
128
141
0.008
US
10009
53319
62645
64454
1.477
US
10010
26517
31107
32099
0.907
US
10011
45360
53313
55025
1.729
US
10012
21658
25521
26304
0.854
US
10013
24420
28516
29353
1.447
US
10014
27105
31922
32949
1.316
US
10016
48079
56293
58275
1.412
US
10017
13330
15701
16274
0.893
US
10018
4530
5309
5436
0.818
US
10019
37314
43995
45363
1.732
US
10020
26
30
32
0.047
US
10021
40424
47473
49003
0.974
US
10022
29775
34962
35998
1.156
US
10023
54712
64127
66064
1.43
US
10024
53214
62655
64844
2.721
US
10025
83893
98489
101379
2.321
US
10026
31505
36877
38175
1.03
US
10027
50587
59510
61473
2.302
US
10028
41551
49087
50559
1.143
US
10029
68779
80735
83663
2.885
US
10030
24155
28233
29143
0.72
US
10031
49022
57446
59382
1.57
US
10032
50997
60015
62057
2.151
US
10033
47874
56150
57781
1.5
US
10034
34244
40207
41577
2.276
US
10035
30373
35788
36655
3.617
US
10036
20376
23903
24721
1.104
US
10037
14883
17464
18012
0.667
US
10038
17196
20026
20572
0.656
US
10039
21407
25189
25986
0.782
US
10040
36885
43497
44821
1.518
US
10041
0
1
1
0.011
US
10043
46
65
62
0.003
US
10044
9327
10927
11321
0.584
US
10045
134
142
156
0.003
US
10055
2
3
3
0.003
US
10060
1
1
0
0
US
10065
29614
34908
35980
1.31
US
10069
5517
6586
6712
0.729
US
10075
21265
24721
25725
0.489
US
10080
86
319
322
0.007
US
10081
220
239
257
0.011
US
10090
7
5
7
0.005
ISOCountryLanguagePopLevelTypeNameRegion1Region2Region3ISO2gpc_id
NZ
New Zealand
EN
5291198
0
Country
New Zealand
20150764
NZ
New Zealand
EN
572978
1
Regions
Greater Wellington
Greater Wellington
NZ-WGN
20150834
NZ
New Zealand
EN
111791
2
City Councils
Lower Hutt
Greater Wellington
Lower Hutt
NZ-WGN
20150836
NZ
New Zealand
EN
64836
2
City Councils
Porirua
Greater Wellington
Porirua
NZ-WGN
20150839
NZ
New Zealand
EN
49015
2
City Councils
Upper Hutt
Greater Wellington
Upper Hutt
NZ-WGN
20150841
NZ
New Zealand
EN
59161
2
District councils
Kapiti Coast
Greater Wellington
Kapiti Coast
NZ-WGN
20150837
RO
România
RO
19421307
0
Country
România
20162574
RO
România
RO
2340334
1
Regiuni
București - Ilfov
București - Ilfov
20162575
RO
România
RO
1881190
2
National capital
București
București - Ilfov
București
RO-B
20162576
RO
România
RO
228653
3
Sectoarele municipiului
București - Sectorul 1
București - Ilfov
București
București - Sectorul 1
RO-B
20162577
RO
România
RO
349283
3
Sectoarele municipiului
București - Sectorul 2
București - Ilfov
București
București - Sectorul 2
RO-B
20162578
TR
Türkiye
TR
86495428
0
Country
Türkiye
20178761
TR
Türkiye
TR
14507346
1
Coğrafi bölgeleri
İç Anadolu
İç Anadolu
20180346
TR
Türkiye
TR
6351239
2
Büyükşehir Belediyeler
Ankara
İç Anadolu
Ankara
TR-06
20180377
TR
Türkiye
TR
531703
3
Büyükşehir İlçe Belediyeler
Altındağ
İç Anadolu
Ankara
Altındağ
TR-06
20180380
TR
Türkiye
TR
784115
3
Büyükşehir İlçe Belediyeler
Çankaya
İç Anadolu
Ankara
Çankaya
TR-06
20180400
TR
Türkiye
TR
958632
3
Büyükşehir İlçe Belediyeler
Mamak
İç Anadolu
Ankara
Mamak
TR-06
20180462
TR
Türkiye
TR
466637
3
Büyükşehir İlçe Belediyeler
Yenimahalle
İç Anadolu
Ankara
Yenimahalle
TR-06
20180491
TZ
Tanzania
EN
71370093
0
Country
Tanzania
20182778
TZ
Tanzania
EN
3029790
1
Mkoa
Dodoma
Dodoma
TZ-03
20182779
TZ
Tanzania
EN
582032
2
Wilayas
Dodoma TC
Dodoma
Dodoma TC
TZ-03
20182896
UA
Ukraine
EN
38744087
0
Country
Ukraine
20186415
UA
Ukraine
EN
2589241
1
Special municipalities
Kyiv
Kyiv
UA-30
20187109
UA
Ukraine
EN
2589241
2
Cities
Kyiv
Kyiv
Kyiv
UA-30
20187120
UA
Ukraine
EN
2589241
3
Municipalities
Kyiv
Kyiv
Kyiv
Kyiv
UA-30
66475799
UA
Україна
UK
38744087
0
Country
Україна
20186415
US
United States
EN
343483028
0
Country
United States
20188365
US
United States
EN
7210118
1
States
Massachusetts
Massachusetts
US-MA
20189603
US
United States
EN
266679
2
Counties
Barnstable
Massachusetts
Barnstable
US-MA
20189604
US
United States
EN
162810
2
Counties
Berkshire
Massachusetts
Berkshire
US-MA
20189605
US
United States
EN
658917
2
Counties
Bristol
Massachusetts
Bristol
US-MA
20189606
UY
Uruguay
ES
3415392
0
Country
Uruguay
20191570
UY
Uruguay
ES
1350302
1
Departamentos
Montevideo
Montevideo
UY-MO
20191580
ZA
Suid-Afrika
AF
59949477
0
Country
Suid-Afrika
20205732
ZA
Suid-Afrika
AF
16792277
1
Provinsies
Gauteng
Gauteng
ZA-GP
20205800
ZA
Suid-Afrika
AF
3987683
2
Metropolitaanse Munisipaliteit
Stad Tshwane
Gauteng
Stad Tshwane
ZA-GP
20205802
ZA
Suid-Afrika
AF
84856
3
Main places
Akasia
Gauteng
Stad Tshwane
Akasia
ZA-GP
60757321
ZA
Suid-Afrika
AF
87937
3
Main places
Atteridgeville
Gauteng
Stad Tshwane
Atteridgeville
ZA-GP
60757329
ZA
Suid-Afrika
AF
205
3
Main places
Babelegi
Gauteng
Stad Tshwane
Babelegi
ZA-GP
60757298
ZA
South Africa
EN
139722
3
Main places
Saulsville
Gauteng
City of Tshwane
Saulsville
ZA-GP
60757314
ZA
South Africa
EN
545206
3
Main places
Soshanguve
Gauteng
City of Tshwane
Soshanguve
ZA-GP
60757341
ZA
South Africa
EN
3395
3
Main places
Soutpan
Gauteng
City of Tshwane
Soutpan
ZA-GP
60757283
ZA
South Africa
EN
55759
3
Main places
Stinkwater
Gauteng
City of Tshwane
Stinkwater
ZA-GP
60757282
ZA
South Africa
EN
15946
3
Main places
Suurman
Gauteng
City of Tshwane
Suurman
ZA-GP
60757296
ZA
South Africa
EN
82998
3
Main places
Temba
Gauteng
City of Tshwane
Temba
ZA-GP
60757287
ZA
South Africa
EN
2586
3
Main places
Thembisile
Gauteng
City of Tshwane
Thembisile
ZA-GP
60757342
ZA
South Africa
EN
1664
3
Main places
Tierpoort
Gauteng
City of Tshwane
Tierpoort
ZA-GP
60757300
ZA
South Africa
EN
4010
3
Main places
Tsebe
Gauteng
City of Tshwane
Tsebe
ZA-GP
60757286

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