Global population
by ZIP code

Name: GeoPostcodes Global Population by ZIP Code Database
Creator: GeoPostcodes
License: https://www.geopostcodes.com/privacy-policy/

One dataset combining population, and ZIP code data.
Standardized across every market.

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Our population data samples

iso	zip code	pop1975	pop2025	pop2030	square_km
US	10001	20022	23542	24227	1.627949
US	10002	72117	84905	87546	2.129734
US	10003	49926	58273	60294	1.475585
US	10004	3038	3555	3744	1.111534
US	10005	6277	7244	7459	0.160261
US	10006	2338	2914	2927	0.250328
US	10007	6369	7433	7647	0.414131
US	10009	53489	62878	64796	1.597301
US	10010	26503	31058	32074	0.955077
US	10011	44834	52722	54376	1.670544
US	10012	21336	25096	25858	0.838118
US	10013	23764	27800	28672	1.411006
US	10014	27986	33036	34049	1.254836
US	10016	48872	57263	59442	1.418998
US	10017	12851	15182	15619	0.775065
US	10018	4929	5918	5953	0.888766
US	10019	35417	41706	43062	1.697855
US	10020	57	71	81	0.060382
US	10021	38116	44796	46234	0.923488
US	10022	28967	34014	35045	1.140709
US	10023	56022	65723	67577	2.605523
US	10024	53131	62383	64565	2.697514
US	10025	83909	98742	101632	2.302129
US	10026	30553	35819	37082	0.992729
US	10027	51848	60853	63043	2.441945
US	10028	39231	46064	47671	0.819919
US	10029	68273	80124	82897	3.036337
US	10030	24113	28184	29062	0.71811
US	10031	50144	58796	60670	1.733068
US	10032	51784	60757	62820	1.742147
US	10033	46415	54473	56078	1.5448
US	10034	34583	40731	42114	2.659349
US	10035	29220	34460	35311	3.63805
US	10036	22003	25781	26711	1.158341
US	10037	15032	17632	18235	0.602984
US	10038	16992	19906	20406	0.732491
US	10039	20831	24588	25302	0.774862
US	10040	37014	43635	45038	1.468524
US	10041	0	1	1	0.011221
US	10043	181	215	220	0.00536
US	10044	9628	11294	11717	0.595877
US	10045	134	142	156	0.003071
US	10055	2	3	3	0.003453
US	10060	1	1	0	0.000324
US	10065	28159	33164	34183	1.08543
US	10069	3301	3880	4020	0.106198
US	10075	24304	28529	29534	0.489567
US	10080	130	396	393	0.009949
US	10081	220	239	257	0.011246
US	10090	7	5	7	0.005125

ISO	Country	Language	Pop	Level	Type	Name	Region1	Region2	Region3	ISO2	gpc_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	343482526	0	Country	United States					20188365
US	United States	EN	7210139	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	61664553	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

Download a sample of US data

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.

Population trends

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

Key features of our global population by ZIP code database

Population density

Leverage population trends which record changes in population density, tracks migration, and urbanization patterns over a significant period.

"We spot check our customers’ establishment presence per area with real population data. Doing so, we may find out the area has a low population density but a high establishment density."

Kousha Mazloumi

Director of Data Science, Brizo by Datassential

Use cases for the global population by ZIP code database

Powering enterprise solutions and product innovation for businesses worldwide

Site selection analysis

Rank neighborhoods and cities based on population density to prioritize locations for retail investment.

Market expansion

Identify growing markets, assess their business potential, and extract insights for an effective expansion strategy.

Audience profiling

Perform rural and urban classification based on population density and build consistent geographic segments across markets.

Predictive modeling

Use population density to assess economic viability and market saturation at the ZIP code level.

Geomarketing

Map population figures to ZIP codes to identify high-density target areas and enable accurate geographic segmentation.

Territory mapping

Map sales areas and identify zones where there is untapped potential.

Discover more advantages

Trusted by industry leaders

Join more than 100 enterprise clients who trust GeoPostcodes for their location data

“GeoPostcodes’ global ZIP codes allow us to determine distances accurately. Thanks to their up-to-date database, we no longer have problems with missing locations, making our system much more efficient and reliable.”

Anjo Grebe

Consultant

“GeoPostcodes databases provide IATA codes, enhanced UNLOCODEs with port terminal data, addresses, and more – all on a global scale! This level of accuracy is essential for our mileage and CO2 emissions calculation.”

Dr. Peter Wild

Managing Partner

“GeoPostcodes’ Population data shows population forecasts over the next years. We can use it as a proxy to justify longer-term changes and downgrade postal code areas in terms of economic viability.”

Kousha Mazloumi

Director of Data Science

“The concept of the city receives different names or belongs to different hierarchical levels depending on the country. Using GeoPostcodes’ data gave us access to city definitions aligned with our customers’ expectations, saving us computation time.”

Kousha Mazloumi

Director of Data Science

“The world is constantly changing. New localities and neighborhoods open up or become dispersed. It’s good to know that GeoPostcodes is keeping on top of those changes and providing us with updated information to work with.”

William Chao

Product Owner of Geographic Information Services

“The key aspect of working with GeoPostcodes has been their ability to provide customized data solutions. Their collaborative approach has made them an excellent partner in addressing our location data challenges.”

Kate Kilby

Senior Product Manager

“GeoPostcodes’ multi-level boundaries were perfectly aligned, enabling seamless integration with multiple secure cloud platforms. Our software can now provide more accurate visualizations for risk analysis and natural hazard monitoring.”

Dave Hamm

Project Manager

“Countries like Brazil or China are particularly strict with their customs validation. GeoPostcodes’ ZIP codes and Enhanced UNLOCODES database are aligned with national regulations, ensuring seamless transportation and compliance.”

Kavian Ranjbar

Data Governance Specialist

“If you’ve got a business where locations are a big part of it and you’re looking to avoid the large costs that can be involved in using APIs, GeoPostcodes’ on-premise database is definitely worth considering.”

Nick Beaugié

Senior Software Engineer

Check our customer stories

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.

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Data dictionary

Comprehensive field definitions and data specifications from the Population Database

Field name	Field type	Description
ISO	Char(2)	ISO 3166-1 country code
Country	Char(50)	Country name
Language	Char(2)	Language code
ID	Integer	Record identifier
Pop	Integer	Population living in the postal code area or in the administrative division
Square_km	Double	Surface area covered by the postal code or the administrative division, in square kilometers
Postcode	Char(15)	ZIP / Postal code
Name	Char(80)	Administrative division name
Level	Integer	Contains a value ranked from 0 to 4 to define the administrative division level, from the largest to the smallest
Type	Char(50)	Type of administrative division
Region 1	Char(80)	Administrative division level 1
Region 2	Char(80)	Administrative division level 2
Region 3	Char(80)	Administrative division level 3
Region 4	Char(80)	Administrative division level 4

Get the full documentation

How to integrate our self-hosted database

Flexible deployment, and seamless integration, all within your own infrastructure.

Choose your delivery method

Select the delivery option that fits your infrastructure.

Manual download

Download the full database directly from your Customer Portal.

Download API

Retrieve the full files via API for automated ingestion into your pipeline.

Cloud-to-cloud

Access the data in your cloud environment: Snowflake, Azure Data Share or AWS.

Integrate into your system

Import the data easily into any software, database, ERP, CRM, MDM, GIS, BI and GIS system.

Complete your location data suite

ZIP code database

Global dataset containing all administrative divisions, cities and ZIP codes for 247 countries.

Explore the database

Boundary data

A global data set of polygons representing postal codes and administrative areas.

Explore the database

Address database

International street data including standardized address formats, administrative divisions, cities, and ZIP codes.

Explore the database

Frequently Asked Questions

How far back do population estimates go in datasets related to population by ZIP code?

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.

Are future population projections included, and how do they relate to census data?

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.

What are the main use cases for population data linked to ZIP codes or postal codes?

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.

How do I match population data with boundaries or ZIP-level geographic shapes?

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.

Do ZIP codes match the boundaries used by the Census Bureau or the United States Census Bureau?

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.

Global population
by ZIP code

Our population data samples