{"id":368,"date":"2014-03-24T17:18:53","date_gmt":"2014-03-24T17:18:53","guid":{"rendered":"https:\/\/www.mbi-geodata.com\/en\/data-offering\/asia\/bangladesh-maps\/"},"modified":"2026-02-12T10:59:55","modified_gmt":"2026-02-12T09:59:55","slug":"bangladesh-maps","status":"publish","type":"page","link":"https:\/\/www.mbi-geodata.com\/en\/mbi-supplier-manufacturer-worldwide-geodata\/asia\/bangladesh-maps\/","title":{"rendered":"Bangladesh Admin Maps"},"content":{"rendered":"\n<div class=\"wp-block-cover alignfull\" style=\"min-height:270px;aspect-ratio:unset;\"><img decoding=\"async\" class=\"wp-block-cover__image-background wp-image-10733\" alt=\"Purchasing power data and socio-demographic data can be displayed on a map of Bangladesh using the following area boundaries: Postcode 2-digit and Upazila.\" src=\"https:\/\/www.mbi-geodata.com\/~images\/country-overview\/Bangladesh_socio-demographics_purchasing-power_area-boundaries_BD.jpg\" style=\"object-position:53% 43%\" data-object-fit=\"cover\" data-object-position=\"53% 43%\"\/><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-50 has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<div class=\"wp-block-ugb-heading ugb-heading ugb-85f0391 ugb-main-block\"><style>.ugb-85f0391 .ugb-heading__title{font-size:40px !important;text-transform:uppercase !important;text-align:center}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h1 class=\"ugb-heading__title\"><meta http-equiv=\"content-type\" content=\"text\/html; charset=utf-8\">Bangladesh Purchasing Power, Socio-demographics &amp; Area Boundaries<\/h1><\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile is-vertically-aligned-center is-image-fill-element\" style=\"grid-template-columns:31% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" src=\"https:\/\/www.mbi-geodata.com\/~images\/socio-economics\/Bangladesh_socioeconomic_data_BD.jpg\" alt=\"Socio-demographic data, purchasing power data and area boundaries can be used to perform a variety of data analyses about Bangladesh.\" style=\"object-position:50% 50%\"\/><\/figure><div class=\"wp-block-media-text__content\">\n<div class=\"wp-block-ugb-heading ugb-heading ugb-a22fa0a ugb-main-block\"><style>.ugb-a22fa0a .ugb-heading__title{font-size:32px !important;text-transform:uppercase !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h2 class=\"ugb-heading__title\">Your trusted Source of  Geodata for Bangladesh for <span class=\"tadv-color\" style=\"color:#000\">Postcode 2-digit and Upazila<\/span><\/h2><\/div><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Discover a comprehensive suite of geodata for Bangladesh from our extensive global data offering of <a href=\"https:\/\/www.mbi-geodata.com\/en\/sociodemographic-data\/\">sociodemographic<\/a> and <a href=\"https:\/\/www.mbi-geodata.com\/en\/purchasing-power\/\">purchasing power data<\/a>. Elevate your geomarketing, target group analyses, and location studies with our detailed insights. MBI provides accurate <a href=\"https:\/\/www.mbi-geodata.com\/en\/area-boundaries\/\">area boundaries<\/a> (vector boundaries, polygons) with detailed, seamless coverage of the following areas: Postcode 2-digit and Upazila. Our data&#8217;s global consistency and comparability enable you to draw comparisons between Bangladesh and any other country worldwide. Additionally, <a href=\"https:\/\/www.mbi-geodata.com\/en\/political-risk-index\/\">political risk data<\/a> allows you to develop targeted adaptation strategies to increase your location, logistics, and investment security.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tailored for professionals in areas such as expansion planning, risk management, portfolio analysis, and statistical research, our data is accessible in all standard GIS formats and Excel. Licensed from MBI, this data ensures you have the robust information needed for strategic decision-making to drive your sales and business forward and maximize ROI.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-heading ugb-heading ugb-f2272ce ugb-main-block\"><style>.ugb-f2272ce .ugb-heading__title{font-size:32px !important;text-transform:uppercase !important}@media screen and (min-width:768px){.ugb-f2272ce.ugb-heading{margin-top:50px !important;margin-bottom:0px !important}}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h2 class=\"ugb-heading__title\">Data that can currently be licensed from mbi for Bangladesh<\/h2><\/div><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Each attribute or geographical level can be licensed individually.<\/p>\n\n\n<div class=\"geodata__wrap\"><table class=\"geodata geodata_2\"><tbody><tr><th class=\"section-heading\" scope=\"row\" colspan=\"3\">Geographic level<\/th><\/tr><tr class=\"section1\"><th class=\"row-th\" scope=\"row\">Area level<\/th><th class=\"col-th\" scope=\"col\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/area-boundaries\/administrative-area-maps\/\" target=\"_blank\">Administrative<\/a><\/th><th class=\"col-th\" scope=\"col\"><b>Grid<\/b><\/th><\/tr><tr class=\"section1\">\n<th class=\"row-th\"  scope=\"row\">Name<\/th><th class=\"col-th\" scope=\"col\">Upazila<\/th><th class=\"col-th\" scope=\"col\">100 x 100 m<\/th><\/tr><tr class=\"section1 section1_last\">\n<th class=\"row-th\" scope=\"row\">Number of areas<\/th><td>548<\/td><td><\/td><\/tr>\n<tr><th class=\"section-heading\" scope=\"row\" colspan=\"3\">Geometry<\/th><\/tr><tr><th class=\"row-th\" scope=\"row\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/area-boundaries\/\" target=\"_blank\">Polygons<\/a><\/th><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>No\/Not Available<\/title><path fill=\"#444\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 15v2h-2l-3-4-3 4h-2v-2l4-3-4-3v-2h2l3 4 3-4h2v2l-4 3 4 3z\"\/><\/svg><\/td><\/tr><tr><th class=\"section-heading\" scope=\"row\" colspan=\"3\">Data \/ Variables<\/th><\/tr><tr><th class=\"row-th\" scope=\"row\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/sociodemographic-data\/population\/\" target=\"_blank\">Population<\/a><\/th><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><\/tr><tr><th class=\"row-th\" scope=\"row\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/sociodemographic-data\/agebands\/\" target=\"_blank\">Age bands<\/a><\/th><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>No\/Not Available<\/title><path fill=\"#444\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 15v2h-2l-3-4-3 4h-2v-2l4-3-4-3v-2h2l3 4 3-4h2v2l-4 3 4 3z\"\/><\/svg><\/td><\/tr><tr><th class=\"row-th\" scope=\"row\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/sociodemographic-data\/sex-gender\/\" target=\"_blank\">Sex \/ Gender<\/a><\/th><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>No\/Not Available<\/title><path fill=\"#444\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 15v2h-2l-3-4-3 4h-2v-2l4-3-4-3v-2h2l3 4 3-4h2v2l-4 3 4 3z\"\/><\/svg><\/td><\/tr><tr><th class=\"row-th\" scope=\"row\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/sociodemographic-data\/households\/\" target=\"_blank\">Households<\/a><\/th><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>No\/Not Available<\/title><path fill=\"#444\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 15v2h-2l-3-4-3 4h-2v-2l4-3-4-3v-2h2l3 4 3-4h2v2l-4 3 4 3z\"\/><\/svg><\/td><\/tr><tr><th class=\"row-th\" scope=\"row\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/purchasing-power\/\" target=\"_blank\">Purchasing power<\/a><\/th><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>No\/Not Available<\/title><path fill=\"#444\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 15v2h-2l-3-4-3 4h-2v-2l4-3-4-3v-2h2l3 4 3-4h2v2l-4 3 4 3z\"\/><\/svg><\/td><\/tr><tr><th class=\"row-th\" scope=\"row\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/political-risk-index\/political-risk-indicators\/\" target=\"_blank\">Political Risk<\/a><\/th><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>No\/Not Available<\/title><path fill=\"#444\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 15v2h-2l-3-4-3 4h-2v-2l4-3-4-3v-2h2l3 4 3-4h2v2l-4 3 4 3z\"\/><\/svg><\/td><\/tr><tr><th class=\"row-th\" scope=\"row\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/purchasing-power\/economic-risk-indicator\/\" target=\"_blank\">Economic Risk<\/a><\/th><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>No\/Not Available<\/title><path fill=\"#444\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 15v2h-2l-3-4-3 4h-2v-2l4-3-4-3v-2h2l3 4 3-4h2v2l-4 3 4 3z\"\/><\/svg><\/td><\/tr><tr><td><\/td><td><a href=\"https:\/\/www.mbi-geodata.com\/en\/contact-us\/?subject=Bangladesh%20%28Upazila%29\" class=\"btn\">Get a quote<\/a><\/td><td><a href=\"https:\/\/www.mbi-geodata.com\/en\/contact-us\/?subject=Bangladesh%20%28100%20x%20100%20m%29\" class=\"btn\">Get a quote<\/a><\/td><\/tr>\n<\/tbody><\/table><\/div>\n<div class=\"geodata__wrap geodata__risk\"><table class=\"geodata geodata_4\"><tbody><tr><th class=\"section-heading\" scope=\"row\" colspan=\"5\">Additional Political Risk Data by Regions<\/th><\/tr><tr class=\"section1\"><th class=\"row-th\" scope=\"row\"><\/th><th class=\"col-th\" scope=\"col\">Regions<\/th><th class=\"col-th\" scope=\"col\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/self-explaining-political-risk-data\/#SUSAFE-basic\">SUSAFE Basic<\/a><\/th><th class=\"col-th\" scope=\"col\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/self-explaining-political-risk-data\/#calculated-trends\">Calculated Trends<\/a><\/th><th class=\"col-th\" scope=\"col\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/self-explaining-political-risk-data\/#conflict-insights\">Conflict Insights<\/a><\/th><\/tr>\n<tr><th class=\"row-th\" scope=\"row\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/self-explaining-political-risk-data\/\">Self-Explaining Political Risk Data<\/a><\/th><td>9<\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><\/tr><tr><td><\/td><td><a href=\"https:\/\/www.mbi-geodata.com\/en\/contact-us\/?subject=Bangladesh%20%28Additional%20Political%20Risk%20Data%20by%20Regions%29\" class=\"btn\">Get a quote<\/a><\/td><td><a href=\"https:\/\/www.mbi-geodata.com\/en\/contact-us\/?subject=Bangladesh%20%28Additional%20Political%20Risk%20Data%20by%20Regions%3A%20SUSAFE%20Basic%29\" class=\"btn\">Get a quote<\/a><\/td><td><a href=\"https:\/\/www.mbi-geodata.com\/en\/contact-us\/?subject=Bangladesh%20%28Additional%20Political%20Risk%20Data%20by%20Regions%3A%20Calculated%20Trends%29\" class=\"btn\">Get a quote<\/a><\/td><td><a href=\"https:\/\/www.mbi-geodata.com\/en\/contact-us\/?subject=Bangladesh%20%28Additional%20Political%20Risk%20Data%20by%20Regions%3A%20Conflict%20Insights%29\" class=\"btn\">Get a quote<\/a><\/td><\/tr>\n<\/tbody><\/table><\/div>\n\n\n\n\n<div class=\"wp-block-ugb-icon-list ugb-icon-list ugb-bf20e93 ugb-icon-list--v2 ugb-main-block\"><style>.ugb-bf20e93 li{--icon-size:25px !important;margin-bottom:8px !important}.ugb-bf20e93 li::before{width:25px !important;height:25px !important;background-image:url('data:image\/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAxOTAgMTkwIj48cG9seWdvbiBwb2ludHM9IjE3My44LDI4LjQgNjAuNCwxNDEuOCAxNS43LDk3LjIgNS4xLDEwNy44IDYwLjQsMTYzIDE4NC40LDM5IDE3My44LDI4LjQiLz48L3N2Zz4=')}.ugb-bf20e93 li:nth-child(1):before{background-image:url('data:image\/svg+xml;base64,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')}.ugb-bf20e93 li:nth-child(2):before{background-image:url('data:image\/svg+xml;base64,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')}.ugb-bf20e93 li ul{margin-bottom:8px !important}.ugb-bf20e93.ugb-icon-list ul{columns:1}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><ul><li>= available<\/li><li>= not available<\/li><\/ul><\/div><\/div><\/div>\n\n\n\n<div style=\"height:5px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-ugb-heading ugb-heading ugb-adfdd68 ugb-main-block\"><style>.ugb-adfdd68 .ugb-heading__title{font-size:32px !important;text-transform:uppercase !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h2 class=\"ugb-heading__title\">Bangladesh&#8217;s Geodata Insights: Empowering Development and Planning<\/h2><\/div><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Bangladesh, a nation with a fast-growing economy in South Asia, is characterized by its vibrant population, diverse landscapes, and emerging markets. As the country continues to modernize its infrastructure and expand its economic footprint, the effective use of geospatial data becomes increasingly important. MBI\u2019s geodata provides essential insights that can help businesses and government entities in Bangladesh make informed decisions that drive growth and development.<\/p>\n\n\n\n<div class=\"wp-block-ugb-heading ugb-heading ugb-00e940d ugb-main-block\"><style>.ugb-00e940d .ugb-heading__title{font-size:26px !important;text-transform:uppercase !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h3 class=\"ugb-heading__title\">Geographical Levels and Products<\/h3><\/div><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">MBI offers a tailored set of geodata products for Bangladesh, focusing on the administrative level of Upazilas, which are key to understanding the demographic and economic dynamics of the country.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Population<\/strong>: This metric is crucial for understanding where people live, which is essential for urban planning, infrastructure development, and the delivery of public services. It helps identify high-density areas that require focused investment and attention.<\/li>\n\n\n\n<li><strong>Purchasing Power<\/strong>: This data is vital for businesses assessing the economic potential of different Upazilas. It enables companies to target areas with higher spending power, optimizing their market entry strategies and resource allocation.<\/li>\n\n\n\n<li><strong>Households &amp; Gender Data<\/strong>: These demographic details provide a deeper understanding of the population structure within each Upazila, allowing businesses to tailor their products and services to meet local needs more effectively.<\/li>\n\n\n\n<li><strong>Digital Boundaries<\/strong>: In a rapidly developing country like Bangladesh, having accurate digital boundaries is essential for precise spatial analysis, efficient planning, and effective resource management.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-ugb-columns ugb-columns ugb-1b83252 ugb-columns--design-plain ugb-columns--columns-2 ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-columns__item ugb-1b83252-content-wrapper\">\n<div class=\"wp-block-ugb-column ugb-column ugb-96cb1eb ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-96cb1eb-column-wrapper\"><div class=\"ugb-column__content-wrapper\">\n<div class=\"wp-block-ugb-heading ugb-heading ugb-3358422 ugb-main-block\"><style>.ugb-3358422 .ugb-heading__title{font-size:26px !important;text-transform:uppercase !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h3 class=\"ugb-heading__title\">Country-Specific Insights<\/h3><\/div><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Bangladesh\u2019s economy is highly diverse, with significant variations between urban and rural areas. The Upazila level data offered by MBI is particularly valuable in this context, as it provides the granularity needed to understand these regional differences. For example, in densely populated urban Upazilas like those in Dhaka, Population data can be used to plan infrastructure projects that accommodate the high demand for transportation, housing, and utilities. Furthermore, the Purchasing Power data is especially relevant in Bangladesh\u2019s emerging markets, where income levels are rising, and consumer behavior is evolving. Businesses can leverage this data to identify high-growth areas where new products and services are likely to succeed, particularly in sectors like consumer goods, retail, and telecommunications.<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-column ugb-column ugb-9ceb71a ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-9ceb71a-column-wrapper\"><div class=\"ugb-column__content-wrapper\">\n<div class=\"wp-block-ugb-heading ugb-heading ugb-596d68a ugb-main-block\"><style>.ugb-596d68a .ugb-heading__title{font-size:26px !important;text-transform:uppercase !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h3 class=\"ugb-heading__title\">Use Case<\/h3><\/div><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">A practical example of MBI\u2019s geodata application in Bangladesh could involve a telecommunications company looking to expand its network coverage. By utilizing Nighttime Population and Purchasing Power data at the Upazila level, the company can identify areas with high population density and strong consumer spending potential. This allows for more efficient planning of network infrastructure investments, ensuring that the company\u2019s services reach the most lucrative and underserved markets.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a id=\"_msocom_1\"><\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-heading ugb-heading ugb-8d779a8 ugb-main-block\"><style>.ugb-8d779a8 .ugb-heading__title{font-size:26px !important;text-transform:uppercase !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h3 class=\"ugb-heading__title\">Why Use Geodata from MBI for Bangladesh <\/h3><\/div><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">MBI\u2019s geodata offerings for Bangladesh stand out due to their detailed and actionable insights, tailored to the country\u2019s specific needs. The integration of Digital Boundaries with demographic and economic data provides a comprehensive toolset for both businesses and government agencies. The focus on the Upazila level ensures that the data is both granular and relevant, allowing for targeted decision-making in areas that are most critical to Bangladesh\u2019s continued growth and development.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"alignfull wp-block-ugb-columns ugb-columns ugb-8c45a04 ugb-columns--design-plain ugb-columns--columns-2 ugb-main-block ugb--has-custom-content-width ugb--has-custom-content-width-tablet ugb-main-block--inner-wide ugb--has-block-background ugb--has-background-overlay\"><style>.ugb-8c45a04 > .ugb-inner-block > .ugb-block-content > .ugb-columns__item{grid-template-columns:1.24fr 0.76fr !important}.ugb-8c45a04.ugb-columns{background-color:#000000;background-attachment:fixed;background-image:url(https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2022\/05\/Globe_Background.jpg)}.ugb-8c45a04.ugb-columns > .ugb-inner-block{min-width:auto !important;max-width:1369px !important}.ugb-8c45a04.ugb-columns:before{background-color:#000000;opacity:0.3}@media screen and (min-width:768px){.ugb-8c45a04.ugb-columns{padding-top:20px !important;padding-right:20px !important;padding-bottom:20px !important;padding-left:20px !important}}@media screen and (max-width:1025px){.ugb-8c45a04.ugb-columns > .ugb-inner-block{min-width:auto !important;max-width:850px !important}}<\/style><div class=\"ugb-inner-block ugb-inner-block--wide\"><div class=\"ugb-block-content\"><div class=\"ugb-columns__item ugb-8c45a04-content-wrapper\">\n<div class=\"wp-block-ugb-column ugb-column ugb-8eb5f9d ugb-column--design-plain ugb-main-block\"><style>@media screen and (min-width:768px){.ugb-8eb5f9d > .ugb-inner-block > .ugb-block-content > *{padding-right:35px !important}}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-8eb5f9d-column-wrapper\"><div class=\"ugb-column__content-wrapper\">\n<div class=\"wp-block-ugb-heading ugb-heading ugb-f18ce96 ugb-main-block\"><style>.ugb-f18ce96 .ugb-heading__title{font-size:32px !important;text-transform:uppercase !important;margin-bottom:30px !important}@media screen and (min-width:768px){.ugb-f18ce96.ugb-heading{padding-top:20px !important}}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h2 class=\"ugb-heading__title\"><span style=\"color: #fff;\" class=\"ugb-highlight\">Advantages of our administrative Boundaries<\/span><\/h2><\/div><\/div><\/div>\n\n\n\n<ul class=\"wp-block-list has-white-color has-text-color\">\n<li>Worldwide, seamless coverage of postal and administrative boundaries<\/li>\n\n\n\n<li>The layers are topographically correct and country borders fit seamlessly together without overlaps and gaps<\/li>\n\n\n\n<li>Data and areas can be easily combined in one layer thanks to a unique key, enabling cross-country analysis<\/li>\n\n\n\n<li>Constant updates guarantee a current data status<\/li>\n\n\n\n<li>The vintage compatibility between the MBI boundaries and the MBI Sociodemographic and Purchasing Power data is guaranteed<\/li>\n\n\n\n<li>Simple update by uniform layout of the layer names<\/li>\n\n\n\n<li>The higher-level area hierarchies are included with the boundary files<\/li>\n\n\n\n<li>Digital boundaries are in a vector format to allow visualization in any zoom levels<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-column ugb-column ugb-f1b0b82 ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-f1b0b82-column-wrapper\"><div class=\"ugb-column__content-wrapper\">\n<div class=\"wp-block-cover aligncenter\" style=\"padding-top:50px;padding-right:50px;padding-bottom:50px;padding-left:50px\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-very-dark-gray-background-color has-background-dim-100 has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img decoding=\"async\" src=\"https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2021\/07\/lightbulb-1_icon-icons.com_56942.png\" alt=\"\" class=\"wp-image-9531\" style=\"width:100px;height:100px\"\/><\/figure>\n<\/div>\n\n\n<div class=\"wp-block-ugb-heading ugb-heading ugb-a21a7bb ugb-main-block\"><style>.ugb-a21a7bb .ugb-heading__title{font-size:32px !important;font-weight:500 !important;text-transform:uppercase !important;text-align:center}.ugb-a21a7bb .ugb-inner-block{text-align:center}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h2 class=\"ugb-heading__title\">Smart Combination<\/h2><\/div><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">The territorial vintages of the worldwide area boundaries are compatible with our globally consistent and comparable socio-economic data. We offer you a reliable basis for well-founded and data-based decisions. If desired, we can integrate the MBI data directly into our digital boundaries. So, you can load them directly into your system without any additional steps and use them immediately.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-mbi-red-background-color has-background has-regular-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/www.mbi-geodata.com\/en\/sociodemographic-data\/\">Demographics<\/a><\/div>\n\n\n\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-mbi-red-background-color has-background has-regular-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/www.mbi-geodata.com\/en\/purchasing-power-overview\/\">Purchasing Power<\/a><\/div>\n\n\n\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-mbi-red-background-color has-background has-regular-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/www.mbi-geodata.com\/en\/political-risk-index\/\">Risk Data<\/a><\/div>\n\n\n\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-mbi-red-background-color has-background has-regular-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/www.mbi-geodata.com\/en\/mobile-trace-data\/\">Mobile Trace Data<\/a><\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"alignwide wp-block-ugb-image-box ugb-image-box ugb-42e615f ugb-image-box--v4 ugb-image-box--columns-4 ugb-image-box--design-basic ugb-image-box--align-left ugb-main-block\"><style>.ugb-42e615f .ugb-image-box__box{border-radius:0px !important}.ugb-42e615f .ugb-image-box__item{height:330px !important;justify-content:flex-start !important}.ugb-42e615f .ugb-image-box__item1 .ugb-image-box__image{background-image:url(https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2022\/05\/earth_country_availability.jpg)}.ugb-42e615f .ugb-image-box__item2 .ugb-image-box__image{background-image:url(https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2022\/04\/Area_Boundaries-1.jpg)}.ugb-42e615f .ugb-image-box__item3 .ugb-image-box__image{background-image:url(https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2022\/04\/Data_Formats.jpg)}.ugb-42e615f .ugb-image-box__item4 .ugb-image-box__image{background-image:url(https:\/\/www.mbi-geodata.com\/en\/wp-content\/uploads\/sites\/3\/2022\/04\/Datalink_API.jpg)}.ugb-42e615f .ugb-image-box__item:hover .ugb-image-box__overlay-hover{opacity:0.7 !important}.ugb-42e615f .ugb-image-box__title{font-size:24px !important;text-align:center !important;margin-bottom:20px !important}.ugb-42e615f .ugb-inner-block{text-align:left}@media screen and (min-width:768px){.ugb-42e615f.ugb-image-box{padding-right:0px !important;padding-left:0px !important}}@media screen and (min-width:768px) and (max-width:1025px){.ugb-42e615f .ugb-image-box__item{height:300px !important}}@media screen and (max-width:768px){.ugb-42e615f .ugb-image-box__item{height:300px !important}}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-image-box__item ugb-image-box__item1 ugb-image-box__box\"><div class=\"ugb-image-box__box ugb-image-box__image-wrapper\"><div class=\"ugb-image-box__box ugb-image-box__image\" role=\"img\" aria-label=\"COUNTRY AVAILABILITY\"><\/div><\/div><div class=\"ugb-image-box__box ugb-image-box__overlay-hover\"><\/div><div class=\"ugb-image-box__content\"><div class=\"ugb-image-box__header\"><h4 class=\"ugb-image-box__title\">COUNTRY AVAILABILITY<\/h4><\/div><p class=\"ugb-image-box__description\"><a href=\"https:\/\/www.mbi-geodata.com\/en\/mbi-supplier-manufacturer-worldwide-geodata\/europe\/\">Europe<\/a> | <a href=\"https:\/\/www.mbi-geodata.com\/en\/mbi-supplier-manufacturer-worldwide-geodata\/north-america\/\">North America<\/a> | <a href=\"https:\/\/www.mbi-geodata.com\/en\/mbi-supplier-manufacturer-worldwide-geodata\/south-america\/\">South America<\/a> | <a href=\"https:\/\/www.mbi-geodata.com\/en\/mbi-supplier-manufacturer-worldwide-geodata\/asia\/\">Asia<\/a> | <a href=\"https:\/\/www.mbi-geodata.com\/en\/mbi-supplier-manufacturer-worldwide-geodata\/oceania\/\">Oceania<\/a> | <a href=\"https:\/\/www.mbi-geodata.com\/en\/mbi-supplier-manufacturer-worldwide-geodata\/africa\/\">Africa<\/a><\/p><\/div><\/div><div class=\"ugb-image-box__item ugb-image-box__item2 ugb-image-box__box\"><div class=\"ugb-image-box__box ugb-image-box__image-wrapper\"><div class=\"ugb-image-box__box ugb-image-box__image\" role=\"img\" aria-label=\"AREA BOUNDARIES\"><\/div><\/div><div class=\"ugb-image-box__box ugb-image-box__overlay-hover\"><\/div><div class=\"ugb-image-box__content\"><div class=\"ugb-image-box__header\"><h4 class=\"ugb-image-box__title\">AREA BOUNDARIES<\/h4><\/div><p class=\"ugb-image-box__description\">\u2022  Postcode Level<br>\u2022  Administrative Area Level<br>\u2022  Small Area Level<br><br><a href=\"https:\/\/www.mbi-geodata.com\/en\/area-boundaries\/\">&gt; LEARN MORE<\/a><\/p><\/div><a class=\"ugb-image-box__overlay-link\" href=\"https:\/\/www.mbi-geodata.com\/en\/area-boundaries\/\" title=\"AREA BOUNDARIES\" aria-label=\"AREA BOUNDARIES\"><\/a><\/div><div class=\"ugb-image-box__item ugb-image-box__item3 ugb-image-box__box\"><div class=\"ugb-image-box__box ugb-image-box__image-wrapper\"><div class=\"ugb-image-box__box ugb-image-box__image\" role=\"img\" aria-label=\"DATA FORMATS\"><\/div><\/div><div class=\"ugb-image-box__box ugb-image-box__overlay-hover\"><\/div><div class=\"ugb-image-box__content\"><div class=\"ugb-image-box__header\"><h4 class=\"ugb-image-box__title\">DATA FORMATS<\/h4><\/div><p class=\"ugb-image-box__description\">Tab delimited file (TXT) | KML | Access database (MDB) | Excel (xls) | Esri Shapefile (.shp) | Esri Geodatabase (.gdb) | MapInfo (.tab, .tabx) | MapInfo MIF\/MID | GeoJSON | GeoParquet (.parquet) | GeoPackage (.gpkg) | more on request<br><br><a href=\"https:\/\/www.mbi-geodata.com\/en\/data-formats\/\">> LEARN MORE<\/a><\/p><\/div><a class=\"ugb-image-box__overlay-link\" href=\"https:\/\/www.mbi-geodata.com\/en\/data-formats\/\" title=\"DATA FORMATS\" aria-label=\"DATA FORMATS\"><\/a><\/div><div class=\"ugb-image-box__item ugb-image-box__item4 ugb-image-box__box\"><div class=\"ugb-image-box__box ugb-image-box__image-wrapper\"><div class=\"ugb-image-box__box ugb-image-box__image\" role=\"img\" aria-label=\"DATALINK API\"><\/div><\/div><div class=\"ugb-image-box__box ugb-image-box__overlay-hover\"><\/div><div class=\"ugb-image-box__content\"><div class=\"ugb-image-box__header\"><h4 class=\"ugb-image-box__title\">DATALINK API<\/h4><\/div><p class=\"ugb-image-box__description\">Easy access to a variety of MBI data<br>\u2022  Datalink Desktop<br>\u2022  Datalink Rest API<br><a href=\"https:\/\/www.mbi-geodata.com\/en\/datalink-api\/\"><br>&gt; LEARN MORE<\/a><\/p><\/div><a class=\"ugb-image-box__overlay-link\" href=\"https:\/\/www.mbi-geodata.com\/en\/datalink-api\/\" title=\"DATALINK API\" aria-label=\"DATALINK API\"><\/a><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-cover alignwide\" style=\"min-height:300px;aspect-ratio:unset;\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-mbi-red-background-color has-background-dim-100 has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<div class=\"wp-block-ugb-heading ugb-heading ugb-140d24f ugb-main-block\"><style>.ugb-140d24f .ugb-heading__title{font-size:22px !important;font-weight:500 !important;text-align:center}.ugb-140d24f .ugb-inner-block{text-align:center}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h4 class=\"ugb-heading__title\">TELL US WHERE YOU ARE HEADING.<br>WE WILL GLADLY 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Area Boundaries Your trusted Source of Geodata for Bangladesh for Postcode 2-digit and Upazila Discover a comprehensive suite of geodata for Bangladesh from our extensive global data offering of sociodemographic and purchasing power data. Elevate your geomarketing, target group analyses, and location studies with our detailed insights. MBI provides accurate area boundaries (vector boundaries, polygons) with detailed, seamless coverage of the following areas: Postcode 2-digit and Upazila. Our data&#8217;s global consistency and comparability enable you to draw comparisons between Bangladesh and any other country worldwide. Additionally, political risk data allows you to develop targeted adaptation&hellip;<\/p>\n","category_list_v2":"","author_info_v2":{"name":"saasweb-admin","url":"https:\/\/www.mbi-geodata.com\/en\/author\/saasweb-admin\/"},"comments_num_v2":"0 comments","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Geodata and Area Boundaries for Bangladesh for Geomarketing<\/title>\n<meta name=\"description\" content=\"Geodata for Bangladesh \u2013 area boundaries, sociodemographic data and purchasing power data \u2013 globally consistent and comparable.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.mbi-geodata.com\/en\/mbi-supplier-manufacturer-worldwide-geodata\/asia\/bangladesh-maps\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" 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