Comprehensive, weekly-updated street-level address datasets covering 247 countries, including geocoded coordinates, address ranges, administrative divisions, and multilingual support, optimized for enterprise integration.

For every organization it is important to have the correct address details of customers. We have a location database in which every address in the globe can be found. From more than 1.8 billion addresses and households we provide detailed information about the geo coordinates, the surrounded area and region.

A comprehensive self-hosted geospatial database of street names, coordinates, and address data ranges for Enterprise use. The address data are georeferenced with industry-standard WGS84 coordinates (geocoding).

All geospatial data are provided in the official local languages. Names and other data in non-Roman languages are also made available in English through translations and transliterations.

Use cases for the Global Address Database (Geospatial data)

• Address capture and validation

• Parcel delivery

• Master Data Management

• Logistics and Shipping

• Sales and Marketing

Additional features

• Fully and accurately geocoded

• Multi-language support

• Address ranges for streets covered by several zip codes

• Comprehensive city definitions across countries

• Administrative areas with a level range of 0-4

• International Address Formats

For additional insights, you can combine the map data with:

• UNLOCODE and IATA codes (geocoded)

• Time zones and Daylight Saving Time (DST)

• Population data: Past and future trends

Data export methodology

Our location data packages are offered in CSV format. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why companies choose our location databases

• Enterprise-grade service

• Reduce integration time and cost by 30%

• Frequent, consistent updates for the highest quality

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

A global self-hosted location dataset containing all administrative divisions, cities, and zip codes for 247 countries. All geospatial data is updated weekly to maintain the highest data quality, including challenging countries such as China, Brazil, Russia, and the United Kingdom.

Use cases for the Global Zip Code Database (Geospatial data)

• Address capture and validation

• Map and visualization

• Reporting and Business Intelligence (BI)

• Master Data Mangement

• Logistics and Supply Chain Management

• Sales and Marketing

Data export methodology

Our location data packages are offered in variable formats, including .csv. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Product Features

• Fully and accurately geocoded

• Administrative areas with a level range of 0-4

• Multi-language support including address names in local and foreign languages

• Comprehensive city definitions across countries

For additional insights, you can combine the map data with:

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Times

Why do companies choose our location databases

• Enterprise-grade service

• Reduce integration time and cost by 30%

• Weekly updates for the highest quality

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

For many countries lat/lng are determined with an algorithm that searches the place names in the main geonames database using administrative divisions and numerical vicinity of the postal codes as factors in the disambiguation of place names. For postal codes and place name for which no corresponding toponym in the main geonames database could be found an average lat/lng of 'neighbouring' postal codes is calculated. Please let us know if you find any errors in the data set. ThanksFor Canada we have only the first letters of the full postal codes (for copyright reasons)For Ireland we have only the first letters of the full postal codes (for copyright reasons)For Malta we have only the first letters of the full postal codes (for copyright reasons)The Argentina data file contains 4-digit postal codes which were replaced with a new system in 1999.For Brazil only major postal codes are available (only the codes ending with -000 and the major code per municipality).For India the lat/lng accuracy is not yet comparable to other countries.Update frequency: 1 month

Find details of Appearances International Address Buyer/importer data in US (United States) with product description, price, shipment date, quantity, imported products list, major us ports name, overseas suppliers/exporters name etc. at sear.co.in.

Geoscape G-NAF is the geocoded address database for Australian businesses and governments. It’s the trusted source of geocoded address data for Australia with over 50 million contributed addresses distilled into 15.4 million G-NAF addresses. It is built and maintained by Geoscape Australia using independently examined and validated government data.

From 22 August 2022, Geoscape Australia is making G-NAF available in an additional simplified table format. G-NAF Core makes accessing geocoded addresses easier by utilising less technical effort.

G-NAF Core will be updated on a quarterly basis along with G-NAF.

Further information about contributors to G-NAF is available here.

With more than 15 million Australian physical address record, G-NAF is one of the most ubiquitous and powerful spatial datasets. The records include geocodes, which are latitude and longitude map coordinates. G-NAF does not contain personal information or details relating to individuals.

Updated versions of G-NAF are published on a quarterly basis. Previous versions are available here

Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.

Changes in the May 2025 release

• Nationally, the May 2025 update of G-NAF shows an overall increase of 47,194 addresses (0.30%). The total number of addresses in G-NAF now stands at 15,753,927 of which 14,909,770 or 94.64% are principal.

• At some locations, there are unit-numbered addresses that appear to be duplicate addresses. Geoscape is working to identify these locations and include these addresses as separate addresses in G-NAF. To facilitate this process, some secondary addresses have had the word RETAIL added to their building names. In the first instance, this process is being progressively rolled out to identified locations, but it is expected that the requirement for this will become ongoing.

• There is one new locality in G-NAF: Keswick Island, QLD.

• The source data used for generating G-NAF STREET_LOCALITY_POINT data in New South Wales has an updated datum and changed from GDA94 to GDA2020. This has resulted in updates to the STREET_LOCALITY_POINT geometry for approximately 91,000 records, however, more than 95% of these have moved less than a metre.

• Geoscape has moved product descriptions, guides and reports online to https://docs.geoscape.com.au.

Further information on G-NAF, including FAQs on the data, is available here or through Geoscape Australia’s network of partners. They provide a range of commercial products based on G-NAF, including software solutions, consultancy and support.

Additional information: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia.

License Information

Use of the G-NAF downloaded from data.gov.au is subject to the End User Licence Agreement (EULA)

The EULA terms are based on the Creative Commons Attribution 4.0 International license (CC BY 4.0). However, an important restriction relating to the use of the open G-NAF for the sending of mail has been added.

The open G-NAF data must not be used for the generation of an address or the compilation of an address for the sending of mail unless the user has verified that each address to be used for the sending of mail is capable of receiving mail by reference to a secondary source of information. Further information on this use restriction is available here.

End users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).

Users must also note the following attribution requirements:

Preferred attribution for the Licensed Material:

_G-NAF © Geoscape Australia licensed by the Commonwealth of Australia under the _Open Geo-coded National Address File (G-NAF) End User Licence Agreement.

Preferred attribution for Adapted Material:

Incorporates or developed using G-NAF © Geoscape Australia licensed by the Commonwealth of Australia under the Open Geo-coded National Address File (G-NAF) End User Licence Agreement.

What to Expect When You Download G-NAF

G-NAF is a complex and large dataset (approximately 5GB unpacked), consisting of multiple tables that will need to be joined prior to use. The dataset is primarily designed for application developers and large-scale spatial integration. Users are advised to read the technical documentation, including product change notices and the individual product descriptions before downloading and using the product. A quick reference guide on unpacking the G-NAF is also available.

Find details of Infinity Classics International Address Buyer/importer data in US (United States) with product description, price, shipment date, quantity, imported products list, major us ports name, overseas suppliers/exporters name etc. at sear.co.in.

TIMSS, the Trends in International Mathematics and Science Study, is designed to help countries all over the world improve student learning in mathematics and science. It collects educational achievement data at the fourth and eighth grades to provide information about trends in performance over time together with extensive background information to address concerns about the quantity, quality, and content of instruction.

TIMSS provides important information for policy development, to foster public accountability, to allow areas of progress or decline in achievement to be identified and monitored, and to address concerns for equity.

Nearly 50 countries from all over the world participated in TIMSS 2003. A project of the IEA, based in Amsterdam, TIMSS is directed by the TIMSS & PIRLS International Study Center at Boston College in collaboration with a worldwide network of organizations and representatives from the participating countries.

TIMSS 2003 data collection results were released December 14, 2004. The first round of TIMSS, which is conducted on a four-year cycle, was in 1995 and the second in 1999. The fourth round of TIMSS was conducted in 2007. Includes data files, datasets, and supporting documentation.

Participating countries include: Argentina; Armenia; Australia; Bahrain; Basque Country, Spain; Belgium (Flemish); Botswana; Bulgaria; Chile; Chinese Taipei; Cyprus; Egypt; England; Estonia; Ghana; Hong Kong, SAR; Hungary; Indiana State, United States; Indonesia; Iran, Islamic Republic of; Israel; Italy; Japan; Jordan; Korea, Republic of; Latvia; Lebanon; Lithuania; Macedonia, Republic of; Malaysia; Moldova; Morocco; Netherlands; New Zealand; Norway; Ontario Province, Canada; Palestinian National Authority; Philippines; Quebec Province, Canada; Romania; Russian Federation; Saudi Arabia; Scotland; Serbia; Singapore; Slovak Republic; Slovenia; South Africa; Sweden; Syrian Arab Republic; Tunisia; United States; Yemen, Republic of.

Discover unparalleled business opportunities with our Targeted Email List, featuring over 2 billion global contacts.

Explore our global B2B contact and company database, providing essential data fields including Name, Website, Contact First Name, Contact Last Name, Job Title, Email Address, Phone Number, Revenue Size, Employee Size, Location, City, State, Country, Zip Code, and additional customizable data fields upon request. Access a comprehensive repository tailored to meet your specific business needs, ensuring you have access to accurate and detailed information for effective networking and targeted outreach.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Address Verification Service Market Outlook

The global Address Verification Service market size was estimated at USD 1.5 billion in 2023 and is projected to reach approximately USD 4.2 billion by 2032, growing at a CAGR of 12.3% during the forecast period. This significant growth can be attributed to the increasing need for accurate customer data across various industries, the rising number of fraudulent activities, and the widespread adoption of e-commerce and digital transactions.

The market's growth is driven by several key factors, primarily the escalating demand for enhanced customer experience and operational efficiency. Organizations are increasingly recognizing the importance of precise address data to reduce the undeliverable shipments, which not only incur additional costs but also affect customer satisfaction. Moreover, the increased focus on digital transformation and the integration of advanced technologies such as AI and machine learning in address verification solutions is propelling the market forward. These technologies help in reducing manual errors and improving the reliability of address data.

Another significant growth factor is the rising incidence of fraud and the consequent need for stringent verification systems. Financial institutions, government bodies, and e-commerce companies are particularly vulnerable to address-related frauds, which can lead to substantial financial losses and reputational damage. The deployment of advanced address verification services helps mitigate these risks by ensuring that the address data is accurate and up-to-date. This trend is further bolstered by regulatory requirements mandating stringent KYC (Know Your Customer) and AML (Anti-Money Laundering) compliances across various sectors.

The proliferation of e-commerce and digital transactions is another critical driver for the address verification service market. With the surge in online shopping, businesses are increasingly relying on robust address verification solutions to ensure timely and accurate delivery of products. This not only helps in improving customer satisfaction but also in optimizing supply chain operations. Furthermore, the growth in the number of smart city projects worldwide is also contributing to the demand for advanced address verification systems, as these initiatives require accurate geospatial data for effective urban planning and service delivery.

In addition to address verification, businesses are increasingly turning to Bulk Email Verification and Validation Service to ensure the accuracy and deliverability of their email communications. This service is crucial for maintaining a clean and efficient email list, reducing bounce rates, and enhancing overall communication strategies. As digital marketing continues to evolve, the demand for reliable email verification services is growing, driven by the need to optimize marketing campaigns and improve customer engagement. By validating email addresses in bulk, companies can prevent fraudulent activities, enhance their sender reputation, and ensure compliance with data protection regulations. This trend is particularly significant in sectors such as e-commerce and finance, where accurate customer data is paramount for successful operations.

Regionally, North America is expected to hold the largest share of the address verification service market, followed by Europe and the Asia Pacific. The high adoption rate of advanced technologies, coupled with stringent regulatory frameworks, is driving the demand in these regions. Additionally, the presence of major market players and the increasing focus on fraud prevention and customer data accuracy are further contributing to the market growth in these regions.

Component Analysis

The Address Verification Service market is segmented by component into Software and Services. The Software segment holds a significant share in the market, driven by the increasing adoption of advanced address verification software solutions that leverage AI and machine learning for accurate and efficient address validation. These software solutions are designed to standardize, cleanse, and validate address data in real-time, thereby ensuring data accuracy and reducing operational costs. The continuous advancements in software capabilities, such as integration with CRM systems and real-time geocoding, are further fueling the growth of this segment.

The Services segment, on th

Location of public health facilities generated from the Western Cape Department of Health's Sinjani database Master Data Systems (MDS) view. The dataset ( DOH_Facilities_PublicHealthSites) is updated on a weekly basis via a scheduled Python script. A definition query on DOH_Facilities_PublicHealthSites defines Hospitals is (Classification = 'District Hospital' or Classification = 'Tertiary Hospital' or Classification = 'Regional Hospital' or Classification = 'Military Hospital' or Classification = 'National Central Hospital')Publication DateFeature layer updated daily from Sinjani MDS viewAttribute DefinitionsOBJECTID: Internal feature number.NAT_CODE: Six digit unique code obtained from the National Department of Health for facilities. The code is generated by the DHIS system.This code is used in the Mom Connect project.ID: Sinjani Internal facility identifierNAME: Name that the organisational unit is registered on Sinjani with. It may differ from actual name in the case of private facilities in order to standardise naming conventions on the system.DISTRICT_ID: Sinjani Internal district identifierDISTRICT: District that the facility falls within based on the gazetted health boundaries. District is between province and sub-district in the organisational unit hierarchy. In the Metro, 2 sub-districts form 1 Sub-structure (NTSS = Northern and Tygerberg; KESS = Khayelitsha and Eastern; KMSS = Klipfontein and Mitchells Plain; SWSS = Southern and Western).SUB_DISTRICT_ID: Sinjani Internal sub-district identifierSUB_DISTRICT: Sub-district that the facility falls within based on the gazetted health boundaries. Sub-district is between facility and district in the organisational unit hierarchy. In the Metro, 2 sub-districts form 1 Sub-structure (NTSS = Northern and Tygerberg; KESS = Khayelitsha and Eastern; KMSS = Klipfontein and Mitchells Plain; SWSS = Southern and Western).DATEIN: The date on which the facility was/will be in use by the department. This could be either active (operational and reporting) or non-reporting (operational but not reporting).DATEOUT: The date after which the facility will not be in use by the department. The facility has therefore suspended operations.STATUS_CODE: Internal Sinjani unique status identifier.LONGITUDE:Longitude values in decimal degrees.CLASSIFICATION_ID: Internal Sinjani unique classification identifier.CLASSIFICATION: Facility classification refers to the type of facility. The classification is determined by the services that are offered, the hours the facility is open, whether it is private of public.CATEGORY_ID: Internal Sinjani unique category identifier.CATEGORY: Facility category refers to the groupSHORT_NAME: Facility short name generated by DHIS. Often used in reports to reduce space used.AUTHORITY: Facility authority refers to who managers, funds and resources the facility. This may be different to who owns the property.EMAIL: The main email address of the facility that will be routed to the intended recipientCONTACT_NAME: Name of person who is the head of the facility.AUTHORITY_ID: Internal Sinjani unique authority identifier.LATITUDE: Latitude values in decimal degreesASSOCIATED_FACILITY: The associated facility is the public health facility that the school is associated with. Association means that the health facility is responsible for the services provided at the school.ASSOCIATED_FACILITY_CODE: Internal Sinjani unique associated facility short code.URBAN_CODE: Internal Sinjani unique urban identifier. URBAN Environmental classification as Urban, Rural or Peri-Urban.HEALTH_FACILITY_SHORT_CODE: Three digit unique code generated by Sinjani system. This code is used in all health systems to identify facilities.SHAPE :Feature geometry.EMIS: Unique code for each school generated by Department of Education.TELNO: The main phone number of the facility e.g. switchboard that will be routed to the intended recipientQUINTILE_ID: Internal Sinjani unique school quintile identifier.QUINTILE_NAME: The quintile that a school is allocated to. The options are: Quintile 1; Quintile 2; Quintile 3; Quintile 4; Quintile 5POSTAL_CODE: Postal code of the address to which mail may be delivered Postal code per suburb as per the master reference postal box code list: List of South African postal codes as published by the South African Post Office. Available at the following link: https://www.postoffice.co.za/Questions/postalcode.html or in the document named South African Postal Codes Master Reference List v1.0. Excludes street codes used for physical addresses. For informal addresses use the postal code of the nearest city/town. For international addresses free text is allowed.TIER: The ART capturing system in use by facilities.OLD_ADDRESS: Lines 1-4 of the physcial address - concatenatedPO_BOX_OR_PRIVATE_BAG: Lines 1-4 of the address to which mail may be deliveredPOSTAL_SUBURB_OR_TOWN: Town or suburb of the address to which mail may be deliveredTOWN: Physical address. City or Town name as per the Area column in the master reference postal code list. For informal addresses this needs to be the nearest town/city. For international addresses free text is allowed.ADDRESS_TYPE: Physical address. Type of address as per SANS 1883-1:2009. Options are: Building; Farm; Informal; PO Box/Private Bag; SAPO poste restante; Site; StreetSTREET_NUMBER: Physical address. Number of the unit, farm on the street.STREET_NAME: Physical address. Name of the street or road. For farm or site type addresses, use a road name, e.g. R364.SUBURB: Physical address. Suburb name as per the Suburb column in the master reference postal code list. For farm type addresses record the District name. For international addresses free text is allowed.DHIS_UID: Unique identifier generated by the DHIS system (NDOH system) for each facility.PROVINCE: Physical address. Name of the province as per the Master Province Reference Data list. For international addresses free text is allowed.STREET_POSTAL_CODE: Physical address. Postal code per suburb as per the master reference postal street code list: List of South African postal codes as published by the South African Post Office. Available at the following link: https://www.postoffice.co.za/Questions/postalcode.html or in the document named South African Postal Codes Master Reference List v1.0. Excludes box codes used for postal box type addresses. For informal addresses use the postal code of the nearest city/town. For international addresses free text is allowed.OPEN_DAYS: The days of the week that the facility is open / operating.OPEN_TIME: The hours of the day that the facility is open / operating.THROUGHPUT_REPORT_REQUIRED: An indicator to flag a facility accordig to whether it requires a throughput report (summary report of Clinicom data) to be generated by the BI system or not.SUBSTRUCT: The grouping of two sub-districts within the Cape Town Metropolitan district according to the organisational and management structure. Only applicable to the Cape Town Metro district. KESS = Khayelitsha and Eastern sub-districtsNTSS = Northern and Tygerberg sub-dsitrictsSWSS = Southern and Western sub-districtsKMPSS = Mitchells Plain and Klipfontein sub-districtsN/A (Rural) = Applied to all rural sub-districtsMETRO_RURAL: The grouping of districts into Metro Health Services (MHS) and Rural Health Services (RHS) according to the organisational and management structure. Metro = City of Cape Town Metropolitan Municipality Rural = Cape Winelands District Municipality; Central Karoo District Municipality; Garden Route District Municipality; Overberg District Municipality; West Coast District MunicipalityDATE_MODIFIED: The date when the facility data was most recently modified in the systemStatus: Includes only records with a Status = 'A' (active) Status of the facility in terms of whether it is operating or not and whether it is submitting data on Sinjani Active - facility is actively submitting data on Sinjani AND is operational. Data is expected on a routine basis. Absence of data results in a missing data report. Suspended - facility is no longer actively submitting data on Sinjani AND is not operational. Not reporting - facility is not actively submitting data on Sinjani, BUT remains operational.

In 2022, almost all detected phishing kits attempted to gather the names of targets. Three in **** phishing kits also requested e-mail addresses, while ** percent tried accessing home address information.

The address verification tools market is experiencing robust growth, driven by the increasing need for accurate and reliable address data across various industries. The market's expansion is fueled by several key factors, including the rise of e-commerce, stringent regulatory compliance requirements, and the growing adoption of cloud-based solutions. Businesses across all sizes, from large enterprises to SMEs, are increasingly relying on these tools to improve data quality, reduce fraud, and enhance customer experiences. The shift towards digitalization and the expanding global reach of businesses further contribute to the market's expansion. A significant trend is the integration of address verification tools with other business solutions, creating a more streamlined and efficient workflow. This integration enhances data accuracy and reduces manual intervention, leading to cost savings and increased productivity. While the market faces challenges such as data privacy concerns and the complexities of handling international addresses, innovative solutions are emerging to address these limitations. The market is segmented by application (large enterprises, SMEs) and type (cloud-based, on-premise), with cloud-based solutions gaining significant traction due to their scalability, flexibility, and cost-effectiveness. The North American market currently holds a substantial share, driven by the high adoption of e-commerce and advanced technological infrastructure; however, other regions, particularly Asia Pacific, are showing promising growth potential. The competitive landscape is diverse, with both established players and emerging startups vying for market share. Overall, the address verification tools market presents a compelling investment opportunity, exhibiting strong growth prospects in the coming years. The projected Compound Annual Growth Rate (CAGR) suggests a substantial increase in market value over the forecast period (2025-2033). Considering the mentioned companies and the market segmentation, it is reasonable to anticipate continued market penetration across various sectors, including finance, logistics, healthcare, and government. The market will likely see further innovation in areas such as AI-powered address verification and enhanced integration with other data management solutions. The ongoing focus on data security and privacy will also shape the development and adoption of address verification tools, leading to more robust and compliant solutions. Competition will likely intensify, with companies focusing on differentiation through superior accuracy, ease of use, and comprehensive functionality. Geographic expansion into emerging markets will also play a significant role in overall market growth, driven by the increasing adoption of digital technologies and the expanding e-commerce sector in those regions.

41 Global import shipment records of Address Systems with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The International Reproduction Policy Database (IRPD) provides a novel approach to measure policies that directly regulate human reproduction. Reproduction policy is an often neglected domain of state intervention in comparative research, and a comprehensive quantitative database has so far been lacking. IRPD contains multiple indicators in each of five regulatory fields: abortion, contraception, medically assisted reproduction, pregnancy care and sex education. We measure national-level formal regulations for each year between 1980-2020. The database allows to address a wide-range of research questions across various social science disciplines.

Our Iran zip code Database offers comprehensive postal code data for spatial analysis, including postal and administrative areas. This dataset contains accurate and up-to-date information on all administrative divisions, cities, and zip codes, making it an invaluable resource for various applications such as address capture and validation, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including CSV, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Product features include fully and accurately geocoded data, multi-language support with address names in local and foreign languages, comprehensive city definitions, and the option to combine map data with UNLOCODE and IATA codes, time zones, and daylight saving times. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

A global self-hosted Market Research dataset containing all administrative divisions, cities, addresses, and zip codes for 247 countries. All geospatial data is updated weekly to maintain the highest data quality, including challenging countries such as China, Brazil, Russia, and the United Kingdom.

Use cases for the Global Zip Code Database (Market Research data)

• Address capture and validation

• Map and visualization

• Reporting and Business Intelligence (BI)

• Master Data Mangement

• Logistics and Supply Chain Management

• Sales and Marketing

Data export methodology

Our map data packages are offered in variable formats, including .csv. All geographic data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Product Features

• Fully and accurately geocoded

• Administrative areas with a level range of 0-4

• Multi-language support including address names in local and foreign languages

• Comprehensive city definitions across countries

For additional insights, you can combine the map data with:

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Times

Why do companies choose our Market Research databases

• Enterprise-grade service

• Reduce integration time and cost by 30%

• Weekly updates for the highest quality

Note: Custom geographic data packages are available. Please submit a request via the above contact button for more details.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.