MapInfo MIF\/MID<\/li>\n<\/ul>\nWhen and if desired we can combine the demographic data directly to the matching digital boundaries, enabling one to import the data into the system without the need for additional steps or tedious matching.<\/p>\n
Please feel free to contact us should you have any questions or in the event that the data you were looking for was not listed; we will gladly investigate an alternative data offering to fit your needs.<\/p>\n","protected":false},"excerpt":{"rendered":"
Here an overview from our data offering for small-scale international market and geographic data of the African countries. Our data offering includes; Population, Households, Sex \/ Gender, Age bands, Unemployed, Purchasing Power and Consumer Spending on a variety of geographical levels for e.g. postcode boundaries (ZIP), administrative boundaries and census area maps. STANDARD DATA FORMATS […]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":1520,"menu_order":10,"comment_status":"open","ping_status":"open","template":"","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","ngg_post_thumbnail":0,"footnotes":""},"acf":[],"featured_image_urls":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","1536x1536":"","2048x2048":"","mini":"","post-thumbnail":""},"post_excerpt_stackable":"
Here an overview from our data offering for small-scale international market and geographic data of the African countries. Our data offering includes; Population, Households, Sex \/ Gender, Age bands, Unemployed, Purchasing Power and Consumer Spending on a variety of geographical levels for e.g. postcode boundaries (ZIP), administrative boundaries and census area maps. Algeria Angola Botswana Cameroon C\u00f4te d'Ivoire Egypt Ethiopia Gabon Ghana Guinea Kenya Lesotho Malawi Mauritius Morocco Mozambique Namibia Nigeria R\u00e9union Senegal Sierra Leone South Africa Sudan Swaziland Tanzania, United Republic of Tunisia Uganda Zambia Zimbabwe STANDARD DATA FORMATS The data can be supplied in the following formats which…<\/p>\n","category_list":"","author_info":{"name":"schwannauer","url":"https:\/\/www.mbi-geodata.com\/p1\/author\/schwannauer\/"},"comments_num":"0 comments","uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"mini":false,"post-thumbnail":false},"uagb_author_info":{"display_name":"schwannauer","author_link":"https:\/\/www.mbi-geodata.com\/p1\/author\/schwannauer\/"},"uagb_comment_info":0,"uagb_excerpt":"Here an overview from our data offering for small-scale international market and geographic data of the African countries. Our data offering includes; Population, Households, Sex \/ Gender, Age bands, Unemployed, Purchasing Power and Consumer Spending on a variety of geographical levels for e.g. postcode boundaries (ZIP), administrative boundaries and census area maps. STANDARD DATA FORMATS…","_links":{"self":[{"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages\/46"}],"collection":[{"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/comments?post=46"}],"version-history":[{"count":1,"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages\/46\/revisions"}],"predecessor-version":[{"id":4347,"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages\/46\/revisions\/4347"}],"up":[{"embeddable":true,"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages\/1520"}],"wp:attachment":[{"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/media?parent=46"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}