{"id":59,"date":"2014-03-24T15:51:39","date_gmt":"2014-03-24T15:51:39","guid":{"rendered":"https:\/\/www.mbi-geodata.com\/en\/purchasing-power\/retail-turnover\/"},"modified":"2018-02-19T10:00:59","modified_gmt":"2018-02-19T10:00:59","slug":"retail-turnover","status":"publish","type":"page","link":"https:\/\/www.mbi-geodata.com\/p1\/purchasing-power\/retail-turnover\/","title":{"rendered":"RETAIL TURNOVER"},"content":{"rendered":"
Retail Turnover measures the turnover of local retail trade at point of sale. In contrast to the PURCHASING POWER<\/a> and RETAIL SPENDING<\/a>, Retail Turnover quantifies the purchases at the consumers’ place of expenditure<\/strong>.<\/p>\n As this refers to the retail turnover available within an area it does not necessary mean that this reflects the retail spending available within the respective areas. Therefore showing the retail turnover \/ money spent on retail of a given area.<\/p>\n<\/div>\n By using MBI Retail Turnover Data companies from across all branches of trade are able to:<\/p>\n Example Retail Turnover<\/span><\/p>\n<\/div>\n Retail Turnover on municipality level for the Czech Republic<\/p>\n POSTCODE (ZIP) LEVEL<\/a> ADMINISTRATIVE AREA LEVEL<\/a>ADVANTAGES OF THE MB-INTERNATIONAL RETAIL TURNOVER<\/h2>\n
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Vast variety of uses in many different aspects of business applications<\/h2>\n
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\n Admincode<\/strong><\/th>\n Name<\/strong><\/th>\n Population<\/strong><\/th>\n Retail Turnover<\/strong><\/th>\n<\/tr>\n \n \n <\/td>\n Municipality\/Obce<\/td>\n year average<\/td>\n per mill
\nof country<\/td>\nin Mio.
\nEuro<\/td>\nper mill
\nof country<\/td>\nEuro
\nper capita<\/td>\nIndex
\ncountry = 100<\/td>\n<\/tr>\n<\/thead>\n\n 500496<\/td>\n Olomouc<\/td>\n 100.291<\/td>\n 9,535<\/td>\n 347,14<\/td>\n 11,222<\/td>\n 3.463<\/td>\n 117,3<\/td>\n<\/tr>\n \n 505188<\/td>\n \u0160ternberk<\/td>\n 13.709<\/td>\n 1,303<\/td>\n 30,60<\/td>\n 0,989<\/td>\n 2.216<\/td>\n 75,1<\/td>\n<\/tr>\n \n 505587<\/td>\n Uni\u010dov<\/td>\n 11.964<\/td>\n 1,137<\/td>\n 25,70<\/td>\n 0,831<\/td>\n 2.127<\/td>\n 72,1<\/td>\n<\/tr>\n \n 505927<\/td>\n Opava<\/td>\n 58.294<\/td>\n 5,542<\/td>\n 217,98<\/td>\n 7,047<\/td>\n 3.715<\/td>\n 125,9<\/td>\n<\/tr>\n \n 507016<\/td>\n Hlu\u010d\u00edn<\/td>\n 14.216<\/td>\n 1,352<\/td>\n 28,18<\/td>\n 0,911<\/td>\n 1.976<\/td>\n 66,9<\/td>\n<\/tr>\n \n 511382<\/td>\n P\u0159erov<\/td>\n 46.148<\/td>\n 4,387<\/td>\n 165,08<\/td>\n 5,337<\/td>\n 3.566<\/td>\n 120,8<\/td>\n<\/tr>\n \n 513750<\/td>\n Hranice<\/td>\n 19.102<\/td>\n 1,816<\/td>\n 64,92<\/td>\n 2,099<\/td>\n 3.374<\/td>\n 114,3<\/td>\n<\/tr>\n \n 523704<\/td>\n \u0160umperk<\/td>\n 27.395<\/td>\n 2,604<\/td>\n 156,91<\/td>\n 5,072<\/td>\n 5.672<\/td>\n 192,2<\/td>\n<\/tr>\n \n 529303<\/td>\n Bene\u0161ov<\/td>\n 16.406<\/td>\n 1,560<\/td>\n 119,19<\/td>\n 3,853<\/td>\n 7.266<\/td>\n 246,2<\/td>\n<\/tr>\n \n 530883<\/td>\n Vla\u0161im<\/td>\n 12.036<\/td>\n 1,144<\/td>\n 50,31<\/td>\n 1,626<\/td>\n 4.174<\/td>\n 141,4<\/td>\n<\/tr>\n \n \u2026<\/td>\n <\/td>\n <\/td>\n <\/td>\n <\/td>\n <\/td>\n <\/td>\n <\/td>\n<\/tr>\n \n Czech Republic<\/td>\n 10.518.570<\/td>\n 1.000,000<\/td>\n 30.932,82<\/td>\n 1.000,000<\/td>\n 2.941<\/td>\n 100,0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n ON WHICH LEVEL IS THE DATA AVAILABLE?<\/h2>\n
\nWorldwide postal areas are geographic boundaries that define the geographic area for each postcode <\/p>\n
\nMunicipality boundaries plus the higher levels like provinces and state boundaries <\/p>\n