{"id":57,"date":"2014-03-24T15:51:39","date_gmt":"2014-03-24T15:51:39","guid":{"rendered":"https:\/\/www.mbi-geodata.com\/en\/purchasing-power\/retail-spending\/"},"modified":"2018-02-19T09:59:18","modified_gmt":"2018-02-19T09:59:18","slug":"retail-spending","status":"publish","type":"page","link":"https:\/\/www.mbi-geodata.com\/p1\/purchasing-power\/retail-spending\/","title":{"rendered":"RETAIL SPENDING"},"content":{"rendered":"<h2 class=\"purchasing-power\">WHAT DOES RETAIL SPENDING MEAN?<\/h2>\n<div>Retail Spending relates to the proportion of Purchasing Power of a certain area&#8217;s population that is available for spending in retail.<\/div>\n<div>&nbsp;<\/div>\n<div>\n<p>As this refers to the retail spending available within an area it does not necessary mean that it is given out in the respective areas. Therefore showing the retail potential of an area, for both local and online.<\/p>\n<p>General Purchasing Power less expenditures for rents, mortgage interests, insurance, motor vehicles, for travels or services refers to the <strong>potential expenditure in retail at the consumers\u2019 place of residence<\/strong>.&nbsp;<\/p>\n<\/div>\n<h2 class=\"advantages\">ADVANTAGES OF THE MB-INTERNATIONAL RETAIL SPENDING<\/h2>\n<ul>\n<li>Globally consistent and comparable<\/li>\n<li>Our data is subjected to a strict quality control and constantly updated by means of comprehensive research by our&nbsp;in-house statistical &amp; geographical department<\/li>\n<li>The Retail Spending allows companies to zero in on their regional markets with increased precision and accuracy<\/li>\n<li>Using our postcode, administrative&nbsp;boundary or small area maps for the geographic visualization of the Retail Spending allows for an even more effective and efficient decision-making.<\/li>\n<\/ul>\n<h2 class=\"use-cases\">VAST VARIETY OF USES IN MANY DIFFERENT ASPECTS OF BUSINESS APPLICATIONS<\/h2>\n<p>By using MBI Retail Spending Data companies from across all branches of trade are able&nbsp;to:<\/p>\n<ul class=\"twocollist\">\n<li>Quantify regional sales opportunities \/ market potentials<\/li>\n<li>Evaluate areas for strengths and weaknesses<\/li>\n<li>Identify unused market potential<\/li>\n<li>Set realistic local economic forecasts&nbsp;<\/li>\n<li>Focus locally on marketing activities<\/li>\n<li>Formulate quantified and realistic objectives<\/li>\n<li>Restructure and optimize market and sales areas<\/li>\n<li>Map marketing campaigns<\/li>\n<li>Develop expansion strategies<\/li>\n<\/ul>\n<div>\n<div>\n<p>&nbsp;<\/p>\n<\/div>\n<\/div>\n<h2 class=\"example\">EXAMPLE RETAIL SPENDING<\/h2>\n<p>Retail Spending on municipality level for the Czech Republic<\/p>\n<table style=\"width: 100%;\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<thead>\n<tr>\n<th scope=\"col\"><strong>Admincode<\/strong><\/th>\n<th scope=\"col\" align=\"center\"><strong>Name<\/strong><\/th>\n<th scope=\"col\" align=\"center\"><strong>Population<\/strong><\/th>\n<th colspan=\"5\" scope=\"col\" align=\"center\"><strong>Retail Spending<\/strong><\/th>\n<\/tr>\n<tr>\n<td>&nbsp;<\/td>\n<td>Municipality\/Obce<\/td>\n<td align=\"right\">year average<\/td>\n<td align=\"right\">per mill<br \/>\nof country<\/td>\n<td align=\"right\">in&nbsp;Mio.<br \/>\nEuro<\/td>\n<td align=\"right\">per mill<br \/>\nof country<\/td>\n<td align=\"right\">Euro<br \/>\nper capita<\/td>\n<td align=\"right\">Index<br \/>\ncountry = 100<\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>532100<\/td>\n<td>Blevice<\/td>\n<td align=\"right\">285<\/td>\n<td align=\"right\">0,027<\/td>\n<td align=\"right\">0,82<\/td>\n<td align=\"right\">0,026<\/td>\n<td align=\"right\">2.875<\/td>\n<td align=\"right\">95,0<\/td>\n<\/tr>\n<tr>\n<td>532169<\/td>\n<td>Bu\u0161t\u011bhrad<\/td>\n<td align=\"right\">2.791<\/td>\n<td align=\"right\">0,265<\/td>\n<td align=\"right\">8,32<\/td>\n<td align=\"right\">0,262<\/td>\n<td align=\"right\">3.109<\/td>\n<td align=\"right\">102,7<\/td>\n<\/tr>\n<tr>\n<td>532282<\/td>\n<td>D\u0159etovice<\/td>\n<td align=\"right\">500<\/td>\n<td align=\"right\">0,048<\/td>\n<td align=\"right\">1,30<\/td>\n<td align=\"right\">0,041<\/td>\n<td align=\"right\">2.716<\/td>\n<td align=\"right\">89,7<\/td>\n<\/tr>\n<tr>\n<td>532495<\/td>\n<td>Kole\u010d<\/td>\n<td align=\"right\">623<\/td>\n<td align=\"right\">0,059<\/td>\n<td align=\"right\">1,75<\/td>\n<td align=\"right\">0,055<\/td>\n<td align=\"right\">2.715<\/td>\n<td align=\"right\">89,7<\/td>\n<\/tr>\n<tr>\n<td>532681<\/td>\n<td>Otvovice<\/td>\n<td align=\"right\">674<\/td>\n<td align=\"right\">0,064<\/td>\n<td align=\"right\">2,09<\/td>\n<td align=\"right\">0,066<\/td>\n<td align=\"right\">2.820<\/td>\n<td align=\"right\">93,2<\/td>\n<\/tr>\n<tr>\n<td>532827<\/td>\n<td>Slatina<\/td>\n<td align=\"right\">444<\/td>\n<td align=\"right\">0,042<\/td>\n<td align=\"right\">1,27<\/td>\n<td align=\"right\">0,040<\/td>\n<td align=\"right\">2.931<\/td>\n<td align=\"right\">96,8<\/td>\n<\/tr>\n<tr>\n<td>532851<\/td>\n<td>Stehel\u010deves<\/td>\n<td align=\"right\">723<\/td>\n<td align=\"right\">0,069<\/td>\n<td align=\"right\">2,02<\/td>\n<td align=\"right\">0,064<\/td>\n<td align=\"right\">2.922<\/td>\n<td align=\"right\">96,5<\/td>\n<\/tr>\n<tr>\n<td>532975<\/td>\n<td>T\u0159ebusice<\/td>\n<td align=\"right\">510<\/td>\n<td align=\"right\">0,048<\/td>\n<td align=\"right\">1,47<\/td>\n<td align=\"right\">0,046<\/td>\n<td align=\"right\">2.950<\/td>\n<td align=\"right\">97,5<\/td>\n<\/tr>\n<tr>\n<td>533092<\/td>\n<td>Z\u00e1kolany<\/td>\n<td align=\"right\">541<\/td>\n<td align=\"right\">0,051<\/td>\n<td align=\"right\">1,53<\/td>\n<td align=\"right\">0,048<\/td>\n<td align=\"right\">2.825<\/td>\n<td align=\"right\">93,3<\/td>\n<\/tr>\n<tr>\n<td>534951<\/td>\n<td>Kralupy nad Vltavou<\/td>\n<td align=\"right\">17.726<\/td>\n<td align=\"right\">1,685<\/td>\n<td align=\"right\">56,85<\/td>\n<td align=\"right\">1,792<\/td>\n<td align=\"right\">3.240<\/td>\n<td align=\"right\">107,0<\/td>\n<\/tr>\n<tr>\n<td>\u2026<\/td>\n<td>&nbsp;<\/td>\n<td>&nbsp;<\/td>\n<td>&nbsp;<\/td>\n<td>&nbsp;<\/td>\n<td>&nbsp;<\/td>\n<td>&nbsp;<\/td>\n<td>&nbsp;<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\">Czech Republic<\/td>\n<td align=\"right\">10.518.570<\/td>\n<td align=\"right\">1.000,000<\/td>\n<td align=\"right\">31.841,46<\/td>\n<td align=\"right\">1.000,000<\/td>\n<td align=\"right\">3.027<\/td>\n<td align=\"right\">100,0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 class=\"area-boundaries\">ON WHICH LEVEL IS THE DATA AVAILABLE?<\/h2>\n<p><a href=\"https:\/\/www.mbi-geodata.com\/p1\/area-boundaries\/postcode-zip-boundary-maps\/\">POSTCODE (ZIP) LEVEL&nbsp;<\/a><br \/>\nWorldwide postal areas are geographic boundaries that define the geographic area for each postcode&nbsp;<\/p>\n<p><a href=\"https:\/\/www.mbi-geodata.com\/p1\/area-boundaries\/administrative-area-maps\/\">ADMINISTRATIVE AREA LEVEL<\/a><br \/>\nMunicipality boundaries plus the higher levels like provinces and state boundaries&nbsp;<\/p>\n<p><a href=\"https:\/\/www.mbi-geodata.com\/p1\/area-boundaries\/small-area-maps-micro-areas\/\">SMALL AREA LEVELS (MICRO AREAS)<\/a><br \/>\nCould be subdivisions of the postcode or administrative boundaries like census areas<\/p>\n<h2 class=\"formats\">STANDARD DATA FORMATS<\/h2>\n<p>The data can be supplied in the following formats which allow easy loading to most database platforms:<\/p>\n<ul>\n<li>Tab delimited file (TXT)<\/li>\n<li>KML<\/li>\n<li>Access database (MDB)<\/li>\n<li>Excel (xls)<\/li>\n<\/ul>\n<h2 class=\"formats\">STANDARD GIS FORMATS FOR OUR VECTOR BOUNDARIES<\/h2>\n<p>For those using desktop GIS systems we can deliver as well the matching&nbsp;<a href=\"https:\/\/www.mbi-geodata.com\/p1\/area-boundaries\/\">AREA BOUNDARIES<\/a>.<\/p>\n<ul>\n<li>Esri Shape file (.shp)<\/li>\n<li>Esri Geodatabase (.gdb)<\/li>\n<li>MapInfo (.tab)<\/li>\n<li>MapInfo MIF\/MID<\/li>\n<\/ul>\n<h2 class=\"DATALINK API\">&nbsp;<\/h2>\n<p>Retail Spending is available on municipalities, postcode and on small areas level in proven high quality. In the following selection you will receive an overview of our worldwide Retail Spending data offering for the countries in the individual continents.<\/p>\n<p>We have&nbsp;<strong>free sample (test) data<\/strong>&nbsp;available for most European countries. Please feel free to&nbsp;contact us&nbsp;should you have any questions or in the event that the data you are looking for is not listed here or if you need samples for any non-European country.<\/p>\n<div class=\"menu-world-areas-container\"><ul id=\"short_menu_66490bacb3719\" class=\"shortcode_menu worldareas  \"><li id=\"menu-item-4350\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-4350\"><a href=\"https:\/\/www.mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/western-europe\/\">WESTERN EUROPE<\/a><\/li>\n<li id=\"menu-item-4351\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-4351\"><a href=\"https:\/\/www.mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/eastern-europe\/\">EASTERN EUROPE<\/a><\/li>\n<li id=\"menu-item-4352\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-4352\"><a href=\"https:\/\/www.mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/north-america\/\">NORTH AMERICA<\/a><\/li>\n<li id=\"menu-item-4353\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-4353\"><a href=\"https:\/\/www.mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/south-america\/\">SOUTH AMERICA<\/a><\/li>\n<li id=\"menu-item-4354\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-4354\"><a href=\"https:\/\/www.mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/oceania\/\">OCEANIA<\/a><\/li>\n<li id=\"menu-item-4355\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-4355\"><a href=\"https:\/\/www.mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/asia\/\">ASIA<\/a><\/li>\n<li id=\"menu-item-4356\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-4356\"><a href=\"https:\/\/www.mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/africa\/\">AFRICA<\/a><\/li>\n<\/ul><\/div><div class=\"clear\"><\/div>\n\t\t\t<style>\n\t\t\t\t#short_menu_66490bacb3719 {  }\n\t\t\t\t#short_menu_66490bacb3719 ul.wpsm-arrow-enabled:before {  } \n\t\t\t\t#short_menu_66490bacb3719 ul, #short_menu_66490bacb3719 ul ul {  }\n\t\t\t\t#short_menu_66490bacb3719 a {  }\n\t\t\t\t#short_menu_66490bacb3719 a:hover {  }\n\t\t\t\t#short_menu_66490bacb3719 ul a {  }\n\t\t\t\t#short_menu_66490bacb3719 ul a:hover {  }\n\t\t\t\t\n\t\t\t<\/style>\n\t\t\t<script type=\"text\/javascript\">\n\t\t\t\tvar show_arrow = \"true\";var $sm = jQuery.noConflict();\n\t\t\t\t\tjQuery(function ($) {\n\t\t\t\t\t\t$(\"#short_menu_66490bacb3719\").tinyNav();\n\t\t\t\t\t\t$(\"#short_menu_66490bacb3719\").next().addClass(\"shortcode-menu-mobile\");\n\t\t\t\t\t\t\n\t\t\t\t\t\tshortcode_menu_responsive();\n\t\t\t\t\t});\n\t\t\t\t\tjQuery(window).resize(function($){\n\t\t\t\t\t\tshortcode_menu_responsive();\n\t\t\t\t\t});\n\t\t\t\t\tfunction shortcode_menu_responsive()\n\t\t\t\t\t{\n\t\t\t\t\t\tvar window_width = $sm(window).width();\n\t\t\t\t\t\tif(window_width <= 650)\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\t$sm(\"#short_menu_66490bacb3719\").hide();\n\t\t\t\t\t\t\t$sm(\"#short_menu_66490bacb3719\").next().show();\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\t$sm(\"#short_menu_66490bacb3719\").show();\n\t\t\t\t\t\t\t$sm(\"#short_menu_66490bacb3719\").next().hide();\n\t\t\t\t\t\t}\n\t\t\t\t\t}<\/script>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>WHAT DOES RETAIL SPENDING MEAN? Retail Spending relates to the proportion of Purchasing Power of a certain area&#8217;s population that is available for spending in retail. &nbsp; As this refers to the retail spending available within an area it does not necessary mean that it is given out in the respective areas. Therefore showing the [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":1522,"menu_order":0,"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":"<p>WHAT DOES RETAIL SPENDING MEAN? Retail Spending relates to the proportion of Purchasing Power of a certain area&#8217;s population that is available for spending in retail. &nbsp; As this refers to the retail spending available within an area it does not necessary mean that it is given out in the respective areas. Therefore showing the retail potential of an area, for both local and online. General Purchasing Power less expenditures for rents, mortgage interests, insurance, motor vehicles, for travels or services refers to the potential expenditure in retail at the consumers\u2019 place of residence.&nbsp; ADVANTAGES OF THE MB-INTERNATIONAL RETAIL SPENDING&hellip;<\/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":"WHAT DOES RETAIL SPENDING MEAN? Retail Spending relates to the proportion of Purchasing Power of a certain area&#8217;s population that is available for spending in retail. &nbsp; As this refers to the retail spending available within an area it does not necessary mean that it is given out in the respective areas. Therefore showing the&hellip;","_links":{"self":[{"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages\/57"}],"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=57"}],"version-history":[{"count":2,"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages\/57\/revisions"}],"predecessor-version":[{"id":4361,"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages\/57\/revisions\/4361"}],"up":[{"embeddable":true,"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages\/1522"}],"wp:attachment":[{"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/media?parent=57"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}