![\"MBI](\"https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2026\/04\/Global-Boundaries-Release-2026-1024x576.png\")
<\/figure>\n<\/div>\n\n\nA Comprehensive Global Dataset for GIS Workflows<\/strong><\/h2>\n\n\n\nThe Global Boundaries dataset<\/strong><\/a> covers 248 countries worldwide and includes a wide range of geographic layers, from administrative units to postcode boundaries and microgeographic structures. This breadth of coverage allows users to work across markets with a consistent data foundation, reducing the complexity often associated with international analysis.<\/p>\n\n\n\nA key strength of the dataset lies in its flexibility. It is available in multiple industry-standard formats such as ESRI Shapefile, GeoDatabase, GeoJSON, and GeoPackage, ensuring compatibility with virtually all GIS platforms and data environments. This makes it easy for organizations to integrate the data into existing workflows without the need for extensive preprocessing.<\/p>\n\n\n\n
Enabling Better Decisions Through Spatial Analysis<\/strong><\/h2>\n\n\n\nAt the core, Global Boundaries are designed to turn geographic data into actionable insight. By linking business data such as sales figures, customer locations, or operational metrics to precise geographic boundaries, organizations can visualize patterns that would otherwise remain hidden in spreadsheets.<\/p>\n\n\n\n
This capability is particularly valuable in areas such as market analysis, site selection, and resource allocation. Instead of relying on broad regional averages, companies can drill down into highly specific geographic units, enabling more accurate targeting and more informed decision-making.<\/p>\n\n\n\n
The result is not just better maps, but better strategies.<\/p>\n\n\n\n
High Granularity Across Key Global Markets<\/strong><\/h2>\n\n\n\nOne of the defining features of the 2026 release is its level of detail. MBI provides access to more than 2,000 geographic levels globally, allowing users to analyze data at a depth that matches their specific use case. Examples of available levels include:<\/p>\n\n\n\n
Europe<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>France<\/td> Communes (34\u00a0788)<\/td> 5-digit PC (6\u00a0051)<\/td> IRIS (48\u00a0573)<\/td><\/tr> Italy<\/td> Comuni (7\u00a0896)<\/td> 5-digit PC (4\u00a0700)<\/td> Sezioni di Censimento (748\u00a0306)<\/td><\/tr> Poland<\/td> Gminy i Miasta (3\u00a0229)<\/td> 5-digit PC (20\u00a0457)<\/td> Obwody Spisowe (192\u00a0598)<\/td><\/tr> United Kingdom<\/td> Districts (361)<\/td> PC Units (1683\u00a0580)<\/td> Census Output Areas (23\u00a09023)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nNorth America<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>Canada<\/td> Census Subdivisions (5\u00a0028)<\/td> 6-digit PC (838\u00a0605)<\/td> Dissemination Blocks (498\u00a0548)<\/td><\/tr> Mexico<\/td> Municipios (2\u00a0475)<\/td> 5-digit PC (32\u00a0013)<\/td> \u00c1reas Geoestad\u00edsticas B\u00e1sicas
urbanas y Municipios (66\u00a0437)<\/td><\/tr> Puerto Rico<\/td> Barrios (901)<\/td> 5-digit PC (132)<\/td> Grupos de Bloques Censales (2\u00a0513)<\/td><\/tr> USA<\/td> County Subdivisions (35\u00a0390)<\/td> 5-digit PC (33\u00a0774)<\/td> Block Groups (239\u00a0233)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nAsia<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>India<\/td> Sub-Districts (6\u00a0996)<\/td> 6-digit PC (19\u00a0373)<\/td> Wards and Sub-Districts (11\u00a0196)<\/td><\/tr> Indonesia<\/td> Kabupaten dan Kota (514)<\/td> 5-digit PC (11\u00a0594)<\/td> Desa dan Kelurahan (83\u00a0779)<\/td><\/tr> Japan<\/td> Shikuch\u014dson (1\u00a0892)<\/td> 7-digit PC (115\u00a0354)<\/td> Sh\u014dchiiki (220\u00a0635)<\/td><\/tr> Philippines<\/td> Municipalities (1\u00a0641)<\/td> 4-digit PC (1\u00a0896)<\/td> Barangays (42\u00a0028)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nOceania<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>Australia<\/td> Local Government Areas (546)<\/td> 4-digit PC (2\u00a0640)<\/td> Mesh Blocks (368\u00a0049)<\/td><\/tr> New Zealand<\/td> Statistical Areas 2 (2\u00a0311)<\/td> 4-digit PC (1\u00a0082)<\/td> Meshblocks (56\u00a0789)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nSouth America<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>Brazil<\/td> Munic\u00edpios (5\u00a0571)<\/td> 5-digit PC (26\u00a0555)<\/td> Setores Censit\u00e1rios (468\u00a0091)<\/td><\/tr> Colombia<\/td> Municipios (1\u00a0122)<\/td> 6-digit PC (3\u00a0681)<\/td> Secciones (76\u00a0563)<\/td><\/tr> Ecuador<\/td> Parroquias (1\u00a0046)<\/td> 6-digit PC (1\u00a0225)<\/td> Sectores Censales (52\u00a0946)<\/td><\/tr> Uruguay<\/td> Secciones Censales (235)<\/td> 5-digit PC (121)<\/td> Zonas Censales (78\u00a0033)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nAfrica<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>Nigeria<\/td> Local Government Areas (774)<\/td> 4-digit PC (339)<\/td> –<\/td><\/tr> Morocco<\/td> Communes (1\u00a0687)<\/td> 5-digit PC (1\u00a0929)<\/td> –<\/td><\/tr> Tanzania<\/td> Wilaya (195)<\/td> 5-digit PC (4\u00a0066)<\/td> Kata (4\u00a0344)<\/td><\/tr> Tunisia<\/td> Al – \u02bfIm\u0101dat (2\u00a0085)<\/td> 4-digit PC (944)<\/td> –<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nThis level of precision enables organizations to move beyond country-level or regional analysis and instead focus on the local dynamics that often drive real business outcomes.<\/p>\n\n\n\n
Data Quality You Can Rely On<\/strong><\/h2>\n\n\n\nOne of the major challenges in global datasets is inconsistency between countries and levels. MBI addresses this by applying a unified data process across all geographies, avoiding the fragmentation often seen in aggregated or third-party compiled datasets.<\/p>\n\n\n\n
MBI Global Boundaries are built through a controlled production process that prioritizes accuracy, consistency, and long-term maintainability. Each dataset undergoes:<\/p>\n\n\n\n
\n- Standardization across countries and levels<\/li>\n\n\n\n
- Topology validation and gap-free coverage<\/li>\n\n\n\n
- Attribute harmonization for cross-border comparability<\/li>\n\n\n\n
- Continuous updates aligned with official statistical and administrative sources<\/li>\n<\/ul>\n\n\n\n
A key advantage of MBI Global Boundaries is its 1:1 compatibility with MBI Global Market Data, enabling users to seamlessly combine geographic boundaries with detailed demographic and market data. This unique integration allows for immediate, analysis-ready workflows without the need for complex data matching or reconciliation.<\/p>\n\n\n\n
This ensures that users are not just working with data, but with a reliable geographic framework that supports enterprise-grade decision-making.<\/p>\n\n\n\n
A Foundational Layer for Location Intelligence<\/strong><\/h2>\n\n\n\nMBI Global Boundaries are not just a dataset, they act as a standardized geographic backbone for organizations operating across multiple markets. Whether in retail, logistics, telecommunications, or finance, location intelligence plays a critical role in understanding markets and optimizing operations. By ensuring consistency across countries and levels, MBI removes one of the biggest barriers in global analytics: incompatible geographic structures.<\/p>\n\n\n\n
Retailers can use the data to refine store network planning, while logistics providers benefit from improved route optimization and delivery efficiency. In finance and insurance, geographic segmentation supports more accurate risk assessment and helps identify new growth opportunities. Detailed boundary data also plays an important role in healthcare and public sector planning, enabling better service distribution and infrastructure development.<\/p>\n\n\n\n
\u201cMost organisations underestimate how much poor geographic data limits their analysis. What we provide with Global Boundaries 2026 is a consistent, high-resolution geographic framework that removes that limitation and allows teams to work with confidence across markets\u201d says Ray Roberts-York, Managing Director at MBI.<\/p>\n\n\n\n
This versatility makes the dataset a valuable foundation for any organization working with spatial data. Organizations interested in leveraging the MBI Digital Boundaries dataset can request further information on available geographic levels, regional packages, and integration options from our Sales Team<\/strong><\/a>.<\/p>\n\n\n\n<\/p>\n
share<\/h3><\/div>
A key strength of the dataset lies in its flexibility. It is available in multiple industry-standard formats such as ESRI Shapefile, GeoDatabase, GeoJSON, and GeoPackage, ensuring compatibility with virtually all GIS platforms and data environments. This makes it easy for organizations to integrate the data into existing workflows without the need for extensive preprocessing.<\/p>\n\n\n\n
Enabling Better Decisions Through Spatial Analysis<\/strong><\/h2>\n\n\n\nAt the core, Global Boundaries are designed to turn geographic data into actionable insight. By linking business data such as sales figures, customer locations, or operational metrics to precise geographic boundaries, organizations can visualize patterns that would otherwise remain hidden in spreadsheets.<\/p>\n\n\n\n
This capability is particularly valuable in areas such as market analysis, site selection, and resource allocation. Instead of relying on broad regional averages, companies can drill down into highly specific geographic units, enabling more accurate targeting and more informed decision-making.<\/p>\n\n\n\n
The result is not just better maps, but better strategies.<\/p>\n\n\n\n
High Granularity Across Key Global Markets<\/strong><\/h2>\n\n\n\nOne of the defining features of the 2026 release is its level of detail. MBI provides access to more than 2,000 geographic levels globally, allowing users to analyze data at a depth that matches their specific use case. Examples of available levels include:<\/p>\n\n\n\n
Europe<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>France<\/td> Communes (34\u00a0788)<\/td> 5-digit PC (6\u00a0051)<\/td> IRIS (48\u00a0573)<\/td><\/tr> Italy<\/td> Comuni (7\u00a0896)<\/td> 5-digit PC (4\u00a0700)<\/td> Sezioni di Censimento (748\u00a0306)<\/td><\/tr> Poland<\/td> Gminy i Miasta (3\u00a0229)<\/td> 5-digit PC (20\u00a0457)<\/td> Obwody Spisowe (192\u00a0598)<\/td><\/tr> United Kingdom<\/td> Districts (361)<\/td> PC Units (1683\u00a0580)<\/td> Census Output Areas (23\u00a09023)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nNorth America<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>Canada<\/td> Census Subdivisions (5\u00a0028)<\/td> 6-digit PC (838\u00a0605)<\/td> Dissemination Blocks (498\u00a0548)<\/td><\/tr> Mexico<\/td> Municipios (2\u00a0475)<\/td> 5-digit PC (32\u00a0013)<\/td> \u00c1reas Geoestad\u00edsticas B\u00e1sicas
urbanas y Municipios (66\u00a0437)<\/td><\/tr> Puerto Rico<\/td> Barrios (901)<\/td> 5-digit PC (132)<\/td> Grupos de Bloques Censales (2\u00a0513)<\/td><\/tr> USA<\/td> County Subdivisions (35\u00a0390)<\/td> 5-digit PC (33\u00a0774)<\/td> Block Groups (239\u00a0233)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nAsia<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>India<\/td> Sub-Districts (6\u00a0996)<\/td> 6-digit PC (19\u00a0373)<\/td> Wards and Sub-Districts (11\u00a0196)<\/td><\/tr> Indonesia<\/td> Kabupaten dan Kota (514)<\/td> 5-digit PC (11\u00a0594)<\/td> Desa dan Kelurahan (83\u00a0779)<\/td><\/tr> Japan<\/td> Shikuch\u014dson (1\u00a0892)<\/td> 7-digit PC (115\u00a0354)<\/td> Sh\u014dchiiki (220\u00a0635)<\/td><\/tr> Philippines<\/td> Municipalities (1\u00a0641)<\/td> 4-digit PC (1\u00a0896)<\/td> Barangays (42\u00a0028)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nOceania<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>Australia<\/td> Local Government Areas (546)<\/td> 4-digit PC (2\u00a0640)<\/td> Mesh Blocks (368\u00a0049)<\/td><\/tr> New Zealand<\/td> Statistical Areas 2 (2\u00a0311)<\/td> 4-digit PC (1\u00a0082)<\/td> Meshblocks (56\u00a0789)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nSouth America<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>Brazil<\/td> Munic\u00edpios (5\u00a0571)<\/td> 5-digit PC (26\u00a0555)<\/td> Setores Censit\u00e1rios (468\u00a0091)<\/td><\/tr> Colombia<\/td> Municipios (1\u00a0122)<\/td> 6-digit PC (3\u00a0681)<\/td> Secciones (76\u00a0563)<\/td><\/tr> Ecuador<\/td> Parroquias (1\u00a0046)<\/td> 6-digit PC (1\u00a0225)<\/td> Sectores Censales (52\u00a0946)<\/td><\/tr> Uruguay<\/td> Secciones Censales (235)<\/td> 5-digit PC (121)<\/td> Zonas Censales (78\u00a0033)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nAfrica<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>Nigeria<\/td> Local Government Areas (774)<\/td> 4-digit PC (339)<\/td> –<\/td><\/tr> Morocco<\/td> Communes (1\u00a0687)<\/td> 5-digit PC (1\u00a0929)<\/td> –<\/td><\/tr> Tanzania<\/td> Wilaya (195)<\/td> 5-digit PC (4\u00a0066)<\/td> Kata (4\u00a0344)<\/td><\/tr> Tunisia<\/td> Al – \u02bfIm\u0101dat (2\u00a0085)<\/td> 4-digit PC (944)<\/td> –<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nThis level of precision enables organizations to move beyond country-level or regional analysis and instead focus on the local dynamics that often drive real business outcomes.<\/p>\n\n\n\n
Data Quality You Can Rely On<\/strong><\/h2>\n\n\n\nOne of the major challenges in global datasets is inconsistency between countries and levels. MBI addresses this by applying a unified data process across all geographies, avoiding the fragmentation often seen in aggregated or third-party compiled datasets.<\/p>\n\n\n\n
MBI Global Boundaries are built through a controlled production process that prioritizes accuracy, consistency, and long-term maintainability. Each dataset undergoes:<\/p>\n\n\n\n
\n- Standardization across countries and levels<\/li>\n\n\n\n
- Topology validation and gap-free coverage<\/li>\n\n\n\n
- Attribute harmonization for cross-border comparability<\/li>\n\n\n\n
- Continuous updates aligned with official statistical and administrative sources<\/li>\n<\/ul>\n\n\n\n
A key advantage of MBI Global Boundaries is its 1:1 compatibility with MBI Global Market Data, enabling users to seamlessly combine geographic boundaries with detailed demographic and market data. This unique integration allows for immediate, analysis-ready workflows without the need for complex data matching or reconciliation.<\/p>\n\n\n\n
This ensures that users are not just working with data, but with a reliable geographic framework that supports enterprise-grade decision-making.<\/p>\n\n\n\n
A Foundational Layer for Location Intelligence<\/strong><\/h2>\n\n\n\nMBI Global Boundaries are not just a dataset, they act as a standardized geographic backbone for organizations operating across multiple markets. Whether in retail, logistics, telecommunications, or finance, location intelligence plays a critical role in understanding markets and optimizing operations. By ensuring consistency across countries and levels, MBI removes one of the biggest barriers in global analytics: incompatible geographic structures.<\/p>\n\n\n\n
Retailers can use the data to refine store network planning, while logistics providers benefit from improved route optimization and delivery efficiency. In finance and insurance, geographic segmentation supports more accurate risk assessment and helps identify new growth opportunities. Detailed boundary data also plays an important role in healthcare and public sector planning, enabling better service distribution and infrastructure development.<\/p>\n\n\n\n
\u201cMost organisations underestimate how much poor geographic data limits their analysis. What we provide with Global Boundaries 2026 is a consistent, high-resolution geographic framework that removes that limitation and allows teams to work with confidence across markets\u201d says Ray Roberts-York, Managing Director at MBI.<\/p>\n\n\n\n
This versatility makes the dataset a valuable foundation for any organization working with spatial data. Organizations interested in leveraging the MBI Digital Boundaries dataset can request further information on available geographic levels, regional packages, and integration options from our Sales Team<\/strong><\/a>.<\/p>\n\n\n\n<\/p>\n
share<\/h3><\/div>
One of the defining features of the 2026 release is its level of detail. MBI provides access to more than 2,000 geographic levels globally, allowing users to analyze data at a depth that matches their specific use case. Examples of available levels include:<\/p>\n\n\n\n
Europe<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>France<\/td> Communes (34\u00a0788)<\/td> 5-digit PC (6\u00a0051)<\/td> IRIS (48\u00a0573)<\/td><\/tr> Italy<\/td> Comuni (7\u00a0896)<\/td> 5-digit PC (4\u00a0700)<\/td> Sezioni di Censimento (748\u00a0306)<\/td><\/tr> Poland<\/td> Gminy i Miasta (3\u00a0229)<\/td> 5-digit PC (20\u00a0457)<\/td> Obwody Spisowe (192\u00a0598)<\/td><\/tr> United Kingdom<\/td> Districts (361)<\/td> PC Units (1683\u00a0580)<\/td> Census Output Areas (23\u00a09023)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nNorth America<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>Canada<\/td> Census Subdivisions (5\u00a0028)<\/td> 6-digit PC (838\u00a0605)<\/td> Dissemination Blocks (498\u00a0548)<\/td><\/tr> Mexico<\/td> Municipios (2\u00a0475)<\/td> 5-digit PC (32\u00a0013)<\/td> \u00c1reas Geoestad\u00edsticas B\u00e1sicas
urbanas y Municipios (66\u00a0437)<\/td><\/tr> Puerto Rico<\/td> Barrios (901)<\/td> 5-digit PC (132)<\/td> Grupos de Bloques Censales (2\u00a0513)<\/td><\/tr> USA<\/td> County Subdivisions (35\u00a0390)<\/td> 5-digit PC (33\u00a0774)<\/td> Block Groups (239\u00a0233)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nAsia<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>India<\/td> Sub-Districts (6\u00a0996)<\/td> 6-digit PC (19\u00a0373)<\/td> Wards and Sub-Districts (11\u00a0196)<\/td><\/tr> Indonesia<\/td> Kabupaten dan Kota (514)<\/td> 5-digit PC (11\u00a0594)<\/td> Desa dan Kelurahan (83\u00a0779)<\/td><\/tr> Japan<\/td> Shikuch\u014dson (1\u00a0892)<\/td> 7-digit PC (115\u00a0354)<\/td> Sh\u014dchiiki (220\u00a0635)<\/td><\/tr> Philippines<\/td> Municipalities (1\u00a0641)<\/td> 4-digit PC (1\u00a0896)<\/td> Barangays (42\u00a0028)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nOceania<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>Australia<\/td> Local Government Areas (546)<\/td> 4-digit PC (2\u00a0640)<\/td> Mesh Blocks (368\u00a0049)<\/td><\/tr> New Zealand<\/td> Statistical Areas 2 (2\u00a0311)<\/td> 4-digit PC (1\u00a0082)<\/td> Meshblocks (56\u00a0789)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nSouth America<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>Brazil<\/td> Munic\u00edpios (5\u00a0571)<\/td> 5-digit PC (26\u00a0555)<\/td> Setores Censit\u00e1rios (468\u00a0091)<\/td><\/tr> Colombia<\/td> Municipios (1\u00a0122)<\/td> 6-digit PC (3\u00a0681)<\/td> Secciones (76\u00a0563)<\/td><\/tr> Ecuador<\/td> Parroquias (1\u00a0046)<\/td> 6-digit PC (1\u00a0225)<\/td> Sectores Censales (52\u00a0946)<\/td><\/tr> Uruguay<\/td> Secciones Censales (235)<\/td> 5-digit PC (121)<\/td> Zonas Censales (78\u00a0033)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nAfrica<\/h3>\n\nCountry<\/strong><\/td>Administrative<\/strong> Level<\/strong><\/td>Postcode Level<\/strong><\/td>Microgeographical<\/strong> Level<\/strong><\/td><\/tr>Nigeria<\/td> Local Government Areas (774)<\/td> 4-digit PC (339)<\/td> –<\/td><\/tr> Morocco<\/td> Communes (1\u00a0687)<\/td> 5-digit PC (1\u00a0929)<\/td> –<\/td><\/tr> Tanzania<\/td> Wilaya (195)<\/td> 5-digit PC (4\u00a0066)<\/td> Kata (4\u00a0344)<\/td><\/tr> Tunisia<\/td> Al – \u02bfIm\u0101dat (2\u00a0085)<\/td> 4-digit PC (944)<\/td> –<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\nThis level of precision enables organizations to move beyond country-level or regional analysis and instead focus on the local dynamics that often drive real business outcomes.<\/p>\n\n\n\n
Data Quality You Can Rely On<\/strong><\/h2>\n\n\n\nOne of the major challenges in global datasets is inconsistency between countries and levels. MBI addresses this by applying a unified data process across all geographies, avoiding the fragmentation often seen in aggregated or third-party compiled datasets.<\/p>\n\n\n\n
MBI Global Boundaries are built through a controlled production process that prioritizes accuracy, consistency, and long-term maintainability. Each dataset undergoes:<\/p>\n\n\n\n
\n- Standardization across countries and levels<\/li>\n\n\n\n
- Topology validation and gap-free coverage<\/li>\n\n\n\n
- Attribute harmonization for cross-border comparability<\/li>\n\n\n\n
- Continuous updates aligned with official statistical and administrative sources<\/li>\n<\/ul>\n\n\n\n
A key advantage of MBI Global Boundaries is its 1:1 compatibility with MBI Global Market Data, enabling users to seamlessly combine geographic boundaries with detailed demographic and market data. This unique integration allows for immediate, analysis-ready workflows without the need for complex data matching or reconciliation.<\/p>\n\n\n\n
This ensures that users are not just working with data, but with a reliable geographic framework that supports enterprise-grade decision-making.<\/p>\n\n\n\n
A Foundational Layer for Location Intelligence<\/strong><\/h2>\n\n\n\nMBI Global Boundaries are not just a dataset, they act as a standardized geographic backbone for organizations operating across multiple markets. Whether in retail, logistics, telecommunications, or finance, location intelligence plays a critical role in understanding markets and optimizing operations. By ensuring consistency across countries and levels, MBI removes one of the biggest barriers in global analytics: incompatible geographic structures.<\/p>\n\n\n\n
Retailers can use the data to refine store network planning, while logistics providers benefit from improved route optimization and delivery efficiency. In finance and insurance, geographic segmentation supports more accurate risk assessment and helps identify new growth opportunities. Detailed boundary data also plays an important role in healthcare and public sector planning, enabling better service distribution and infrastructure development.<\/p>\n\n\n\n
\u201cMost organisations underestimate how much poor geographic data limits their analysis. What we provide with Global Boundaries 2026 is a consistent, high-resolution geographic framework that removes that limitation and allows teams to work with confidence across markets\u201d says Ray Roberts-York, Managing Director at MBI.<\/p>\n\n\n\n
This versatility makes the dataset a valuable foundation for any organization working with spatial data. Organizations interested in leveraging the MBI Digital Boundaries dataset can request further information on available geographic levels, regional packages, and integration options from our Sales Team<\/strong><\/a>.<\/p>\n\n\n\n<\/p>\n
share<\/h3><\/div>
Country<\/strong><\/td>| Administrative<\/strong> Level<\/strong><\/td> | Postcode Level<\/strong><\/td> | Microgeographical<\/strong> Level<\/strong><\/td><\/tr> | France<\/td> | Communes (34\u00a0788)<\/td> | 5-digit PC (6\u00a0051)<\/td> | IRIS (48\u00a0573)<\/td><\/tr> | Italy<\/td> | Comuni (7\u00a0896)<\/td> | 5-digit PC (4\u00a0700)<\/td> | Sezioni di Censimento (748\u00a0306)<\/td><\/tr> | Poland<\/td> | Gminy i Miasta (3\u00a0229)<\/td> | 5-digit PC (20\u00a0457)<\/td> | Obwody Spisowe (192\u00a0598)<\/td><\/tr> | United Kingdom<\/td> | Districts (361)<\/td> | PC Units (1683\u00a0580)<\/td> | Census Output Areas (23\u00a09023)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div><\/div>\n\n\n\n | North America<\/h3>
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