{"id":337,"date":"2014-03-24T17:18:51","date_gmt":"2014-03-24T17:18:51","guid":{"rendered":"https:\/\/www.mbi-geodata.com\/en\/data-offering\/south-america\/peru-maps\/"},"modified":"2026-02-12T10:57:22","modified_gmt":"2026-02-12T09:57:22","slug":"peru-maps","status":"publish","type":"page","link":"https:\/\/www.mbi-geodata.com\/en\/mbi-supplier-manufacturer-worldwide-geodata\/south-america\/peru-maps\/","title":{"rendered":"Peru 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 Peru using the following area boundaries: Postcode 5-digit and Distritos.\" src=\"https:\/\/www.mbi-geodata.com\/~images\/country-overview\/Peru_socio-demographics_purchasing-power_area-boundaries_PE.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\">Peru 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\/Peru_socioeconomic_data_PE.jpg\" alt=\"Socio-demographic data, purchasing power data and area boundaries can be used to perform a variety of data analyses about Peru.\" 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 Peru for <span class=\"tadv-color\" style=\"color:#000\">Postcode 5-digit and Distritos<\/span><\/h2><\/div><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Discover a comprehensive suite of geodata for Peru 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 5-digit and Distritos. Our data&#8217;s global consistency and comparability enable you to draw comparisons between Peru 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 Peru<\/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\">Distritos<\/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>1891<\/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\/sociodemographic-data\/education\/\" target=\"_blank\">Education (country-specific)<\/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\/marital-status\/\" target=\"_blank\">Marital status (country-specific)<\/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\/consumer-styles\/\" target=\"_blank\">Consumer Styles<\/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\/mobile-trace-data\/global-daytime-population\/\" target=\"_blank\">Daytime 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\/online-shopping-affinity\/\" target=\"_blank\">Online-Shopping Affinity<\/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\/socio-bundle\/\" target=\"_blank\">Socio Bundle Plus<\/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><td><\/td><td><a href=\"https:\/\/www.mbi-geodata.com\/en\/contact-us\/?subject=Peru%20%28Distritos%29\" class=\"btn\">Get a quote<\/a><\/td><td><a href=\"https:\/\/www.mbi-geodata.com\/en\/contact-us\/?subject=Peru%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>27<\/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=Peru%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=Peru%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=Peru%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=Peru%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\">Geodata for Peru: Navigating Diverse Challenges and Opportunities with Data-Driven Approaches<\/h2><\/div><\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Peru, renowned for its rich cultural history and diverse landscapes, presents a vast array of opportunities for businesses. From the bustling coastal cities and the Andean highlands to the expansive Amazon rainforest, Peru\u2019s geographic and social diversity offers unique avenues for commercial growth. Leveraging detailed geodata is crucial for businesses to navigate these varied landscapes, optimize their operations, and capitalize on market potential. MBI\u2019s geodata for Peru provides the insights necessary for geomarketing, GIS, expansion planning, spatial analysis, transportation planning, location intelligence analysis, and risk management.<\/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\">For Peru, MBI&#8217;s geodata is meticulously organized at the &#8220;Distritos&#8221; (Districts) level. This level of granularity allows for in-depth analysis and targeted planning across Peru\u2019s varied regions, facilitating informed decision-making and effective development strategies. The available products include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Population, Consumer Styles, Online-Shopping Propensity<\/strong>: These datasets offer insights into demographic trends, consumer behaviors, and digital engagement across districts, supporting tailored marketing strategies and e-commerce initiatives.<\/li>\n\n\n\n<li><strong>Purchasing Power, Socio Demographics<\/strong>: Aid in market analysis and targeted development initiatives.<\/li>\n\n\n\n<li><strong>Digital Boundaries<\/strong>: Critical for accurate mapping and spatial analysis, supporting infrastructure development and strategic planning, ensuring projects are optimally located to serve the population and preserve Peru\u2019s natural and cultural heritage.<\/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\">In Peru, where enhancing economic diversification improving infrastructure, and boosting market reach are pivotal, detailed geodata supports a wide range of business strategies. Insights into district-level demographics, economic capabilities, and consumer behavior enable businesses to develop targeted marketing campaigns, identify high-potential investment areas, and streamline supply chains.<\/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\"><strong>Retail Expansion and E-Commerce Growth<\/strong>: A multinational retail chain might use district-level purchasing power and consumer behavior data to identify prime locations for new stores and to optimize their online sales strategy, significantly increasing market share.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Infrastructure and Logistics Optimization:<\/strong> A logistics company might utilize digital boundaries and demographic insights to plan new distribution centers and optimize delivery routes, enhancing efficiency and customer satisfaction.<\/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 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 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Area Boundaries Your trusted Source of Geodata for Peru for Postcode 5-digit and Distritos Discover a comprehensive suite of geodata for Peru 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 5-digit and Distritos. Our data&#8217;s global consistency and comparability enable you to draw comparisons between Peru 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":"jasmin","url":"https:\/\/www.mbi-geodata.com\/en\/author\/jasmin\/"},"comments_num_v2":"0 comments","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Geodata and Area Boundaries for Peru for Geomarketing<\/title>\n<meta name=\"description\" content=\"Geodata for Peru \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\/south-america\/peru-maps\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta 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