The MB-International Sociodemographics comprehend latest population and household figures, the classification of the population by age (15-year age bands: 0-14, 15-29, 30-44, 45-59, 60+), sex \/ gender as well as the number of unemployed persons.<\/h3>
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<\/p>\n
Sociodemographics-Bundle <\/strong>comprises:<\/p>\n\n- Two digit country code by ISO 3166<\/li>\n
- Administrative Code\/ Postal Code\/ Micro-Code<\/li>\n
- Name of administrative area\/ Name of the most populous administrative area\/ Name of the respective micro-area or the next higher level<\/li>\n<\/ul>\n
\n- Population year average: total number<\/li>\n
- Population year average: per mill of country<\/li>\n
- Number of Households<\/li>\n
- Population male<\/li>\n
- Population female<\/li>\n<\/ul>\n
\n- Population by age: 0 \u2013 14 years, total<\/li>\n
- Population by age: 0 \u2013 14 years, male<\/li>\n
- Population by age: 0 \u2013 14 years, female<\/li>\n
- Population by age: 15 \u2013 29 years, total<\/li>\n
- Population by age: 15 \u2013 29 years, male<\/li>\n
- Population by age: 15 \u2013 29 years, female<\/li>\n
- Population by age: 30 \u2013 44 years, total<\/li>\n
- Population by age: 30 \u2013 44 years, male<\/li>\n
- Population by age: 30 \u2013 44 years, female<\/li>\n
- Population by age: 45 \u2013 59 years, total<\/li>\n
- Population by age: 45 \u2013 59 years, male<\/li>\n
- Population by age: 45 \u2013 59 years, female<\/li>\n
- Population by age: 60 years and above, total<\/li>\n
- Population by age: 60 years and above, male<\/li>\n
- Population by age: 60 years and above, female<\/li>\n<\/ul>\n
\n- Unemployed
\n<\/div><\/div><\/li>\n<\/ul>\n <\/p>\n
VAST VARIETY OF USES IN MANY DIFFERENT ASPECTS OF BUSINESS APPLICATIONS<\/h2>\n
They are an appropriate planning fundament for the distribution of your products and services, if their demand basically depends on the consumers’ sociodemographic characteristics above.<\/p>\n
Their power can be harnessed to improve consumer targeting and can be used to understand market opportunities and to quantify the consumers’ potential demand for European countries.<\/p>\n
Sample of the <\/span>Data Structure: Socio-Bundle on municipality level for the Czech Republic<\/span><\/strong><\/p>\n\n\n\nAdmincode<\/strong><\/td>\nName<\/strong><\/td>\nPopulation by age and sex<\/strong><\/td>\nPopulation by age and sex<\/strong><\/td>\n<\/tr>\n\n <\/td>\n | <\/td>\n | total<\/td>\n | 0 to 14<\/td>\n<\/tr>\n | \n <\/td>\n | Municipality\/Obce<\/td>\n | number<\/td>\n | per mill \nof country<\/td>\n | total \nnumber<\/td>\n | male \nnumber<\/td>\n | female \nnumber<\/td>\n<\/tr>\n<\/thead>\n | \n\n532100<\/span><\/td>\n | Blevice<\/span><\/td>\n | 133<\/span><\/td>\n | 152<\/span><\/td>\n | 38<\/span><\/td>\n | 19<\/span><\/td>\n | 19<\/span><\/td>\n<\/tr>\n\n532169<\/span><\/td>\n | Bu\u0161t\u011bhrad<\/span><\/td>\n | 1.333<\/span><\/td>\n | 1.458<\/span><\/td>\n | 385<\/span><\/td>\n | 197<\/span><\/td>\n | 188<\/span><\/td>\n<\/tr>\n\n532282<\/span><\/td>\n | D\u0159etovice<\/span><\/td>\n | 237<\/span><\/td>\n | 263<\/span><\/td>\n | 81<\/span><\/td>\n | 42<\/span><\/td>\n | 39<\/span><\/td>\n<\/tr>\n\n532495<\/span><\/td>\n | Kole\u010d<\/span><\/td>\n | 314<\/span><\/td>\n | 309<\/span><\/td>\n | 103<\/span><\/td>\n | 56<\/span><\/td>\n | 47<\/span><\/td>\n<\/tr>\n\n532681<\/span><\/td>\n | Otvovice<\/span><\/td>\n | 339<\/span><\/td>\n | 335<\/span><\/td>\n | 96<\/span><\/td>\n | 52<\/span><\/td>\n | 44<\/span><\/td>\n<\/tr>\n\n532827<\/span><\/td>\n | Slatina<\/span><\/td>\n | 221<\/span><\/td>\n | 223<\/span><\/td>\n | 66<\/span><\/td>\n | 35<\/span><\/td>\n | 31<\/span><\/td>\n<\/tr>\n\n532851<\/span><\/td>\n | Stehel\u010deves<\/span><\/td>\n | 381<\/span><\/td>\n | 342<\/span><\/td>\n | 94<\/span><\/td>\n | 52<\/span><\/td>\n | 42<\/span><\/td>\n<\/tr>\n\n532975<\/span><\/td>\n | T\u0159ebusice<\/span><\/td>\n | 273<\/span><\/td>\n | 237<\/span><\/td>\n | 95<\/span><\/td>\n | 53<\/span><\/td>\n | 42<\/span><\/td>\n<\/tr>\n\n533092<\/span><\/td>\n | Z\u00e1kolany<\/span><\/td>\n | 263<\/span><\/td>\n | 278<\/span><\/td>\n | 69<\/span><\/td>\n | 36<\/span><\/td>\n | 33<\/span><\/td>\n<\/tr>\n\n534951<\/span><\/td>\n | Kralupy nad Vltavou<\/span><\/td>\n | 8.614<\/span><\/td>\n | 9.112<\/span><\/td>\n | 2.559<\/span><\/td>\n | 1.323<\/span><\/td>\n | 1.236<\/span><\/td>\n<\/tr>\n\n\u2026<\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n<\/tr>\n\nCzech Republic<\/span><\/td>\n | 5.161.340<\/span><\/td>\n | 5.357.230<\/span><\/td>\n | 1.486.964<\/span><\/td>\n | 766.176<\/span><\/td>\n | 720.788<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\nAdmincode<\/strong><\/td>\nName<\/strong><\/td>\nPopulation by age and sex<\/strong><\/td>\nPopulation by age and sex<\/strong><\/td>\n<\/tr>\n\n <\/td>\n | <\/td>\n | 15 to 29<\/td>\n | 30 to 44<\/td>\n<\/tr>\n | \n <\/td>\n | Municipality\/Obce<\/td>\n | total \nnumber<\/td>\n | male \nnumber<\/td>\n | female \nnumber<\/td>\n | total \nnumber<\/td>\n | male \nnumber<\/td>\n | female \nnumber<\/td>\n<\/tr>\n<\/thead>\n | \n\n532100<\/span><\/td>\n | Blevice<\/span><\/td>\n | 47<\/span><\/td>\n | 23<\/span><\/td>\n | 24<\/span><\/td>\n | 60<\/span><\/td>\n | 29<\/span><\/td>\n | 31<\/span><\/td>\n<\/tr>\n\n532169<\/span><\/td>\n | Bu\u0161t\u011bhrad<\/span><\/td>\n | 514<\/span><\/td>\n | 257<\/span><\/td>\n | 257<\/span><\/td>\n | 624<\/span><\/td>\n | 312<\/span><\/td>\n | 312<\/span><\/td>\n<\/tr>\n\n532282<\/span><\/td>\n | D\u0159etovice<\/span><\/td>\n | 84<\/span><\/td>\n | 41<\/span><\/td>\n | 43<\/span><\/td>\n | 113<\/span><\/td>\n | 56<\/span><\/td>\n | 57<\/span><\/td>\n<\/tr>\n\n532495<\/span><\/td>\n | Kole\u010d<\/span><\/td>\n | 98<\/span><\/td>\n | 52<\/span><\/td>\n | 46<\/span><\/td>\n | 134<\/span><\/td>\n | 71<\/span><\/td>\n | 63<\/span><\/td>\n<\/tr>\n\n532681<\/span><\/td>\n | Otvovice<\/span><\/td>\n | 114<\/span><\/td>\n | 60<\/span><\/td>\n | 54<\/span><\/td>\n | 143<\/span><\/td>\n | 76<\/span><\/td>\n | 67<\/span><\/td>\n<\/tr>\n\n532827<\/span><\/td>\n | Slatina<\/span><\/td>\n | 91<\/span><\/td>\n | 47<\/span><\/td>\n | 44<\/span><\/td>\n | 99<\/span><\/td>\n | 51<\/span><\/td>\n | 48<\/span><\/td>\n<\/tr>\n\n532851<\/span><\/td>\n | Stehel\u010deves<\/span><\/td>\n | 136<\/span><\/td>\n | 75<\/span><\/td>\n | 61<\/span><\/td>\n | 161<\/span><\/td>\n | 89<\/span><\/td>\n | 72<\/span><\/td>\n<\/tr>\n\n532975<\/span><\/td>\n | T\u0159ebusice<\/span><\/td>\n | 102<\/span><\/td>\n | 56<\/span><\/td>\n | 46<\/span><\/td>\n | 128<\/span><\/td>\n | 70<\/span><\/td>\n | 58<\/span><\/td>\n<\/tr>\n\n533092<\/span><\/td>\n | Z\u00e1kolany<\/span><\/td>\n | 121<\/span><\/td>\n | 62<\/span><\/td>\n | 59<\/span><\/td>\n | 102<\/span><\/td>\n | 52<\/span><\/td>\n | 50<\/span><\/td>\n<\/tr>\n\n534951<\/span><\/td>\n | Kralupy nad Vltavou<\/span><\/td>\n | 3.440<\/span><\/td>\n | 1.742<\/span><\/td>\n | 1.698<\/span><\/td>\n | 3.986<\/span><\/td>\n | 2.014<\/span><\/td>\n | 1.972<\/span><\/td>\n<\/tr>\n\n\u2026<\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n<\/tr>\n\nCzech Republic<\/span><\/td>\n | 2.139.542<\/span><\/td>\n | 1.103.498<\/span><\/td>\n | 1.036.044<\/span><\/td>\n | 2.349.629<\/span><\/td>\n | 1.207.899<\/span><\/td>\n | 1.141.730<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n <\/p>\n \n\n\nAdmincode<\/strong><\/td>\nName<\/strong><\/td>\nPopulation by age and sex<\/strong><\/td>\nPopulation by age and sex<\/strong><\/td>\n<\/tr>\n\n <\/td>\n | <\/td>\n | 45 to 59<\/td>\n | 60 and above<\/td>\n<\/tr>\n | \n <\/td>\n | Municipality\/Obce<\/td>\n | total \nnumber<\/td>\n | male \nnumber<\/td>\n | female \nnumber<\/td>\n | total \nnumber<\/td>\n | male \nnumber<\/td>\n | female \nnumber<\/td>\n<\/tr>\n<\/thead>\n | \n\n532100<\/span><\/td>\n | Blevice<\/span><\/td>\n | 68<\/span><\/td>\n | 32<\/span><\/td>\n | 36<\/span><\/td>\n | 72<\/span><\/td>\n | 30<\/span><\/td>\n | 42<\/span><\/td>\n<\/tr>\n\n532169<\/span><\/td>\n | Bu\u0161t\u011bhrad<\/span><\/td>\n | 595<\/span><\/td>\n | 292<\/span><\/td>\n | 303<\/span><\/td>\n | 673<\/span><\/td>\n | 275<\/span><\/td>\n | 398<\/span><\/td>\n<\/tr>\n\n532282<\/span><\/td>\n | D\u0159etovice<\/span><\/td>\n | 101<\/span><\/td>\n | 49<\/span><\/td>\n | 52<\/span><\/td>\n | 121<\/span><\/td>\n | 49<\/span><\/td>\n | 72<\/span><\/td>\n<\/tr>\n\n532495<\/span><\/td>\n | Kole\u010d<\/span><\/td>\n | 135<\/span><\/td>\n | 70<\/span><\/td>\n | 65<\/span><\/td>\n | 153<\/span><\/td>\n | 65<\/span><\/td>\n | 88<\/span><\/td>\n<\/tr>\n\n532681<\/span><\/td>\n | Otvovice<\/span><\/td>\n | 144<\/span><\/td>\n | 75<\/span><\/td>\n | 69<\/span><\/td>\n | 177<\/span><\/td>\n | 76<\/span><\/td>\n | 101<\/span><\/td>\n<\/tr>\n\n532827<\/span><\/td>\n | Slatina<\/span><\/td>\n | 102<\/span><\/td>\n | 52<\/span><\/td>\n | 50<\/span><\/td>\n | 86<\/span><\/td>\n | 36<\/span><\/td>\n | 50<\/span><\/td>\n<\/tr>\n\n532851<\/span><\/td>\n | Stehel\u010deves<\/span><\/td>\n | 174<\/span><\/td>\n | 93<\/span><\/td>\n | 81<\/span><\/td>\n | 158<\/span><\/td>\n | 72<\/span><\/td>\n | 86<\/span><\/td>\n<\/tr>\n\n532975<\/span><\/td>\n | T\u0159ebusice<\/span><\/td>\n | 97<\/span><\/td>\n | 52<\/span><\/td>\n | 45<\/span><\/td>\n | 88<\/span><\/td>\n | 42<\/span><\/td>\n | 46<\/span><\/td>\n<\/tr>\n\n533092<\/span><\/td>\n | Z\u00e1kolany<\/span><\/td>\n | 113<\/span><\/td>\n | 57<\/span><\/td>\n | 56<\/span><\/td>\n | 136<\/span><\/td>\n | 56<\/span><\/td>\n | 80<\/span><\/td>\n<\/tr>\n\n534951<\/span><\/td>\n | Kralupy nad Vltavou<\/span><\/td>\n | 4.026<\/span><\/td>\n | 1.971<\/span><\/td>\n | 2.055<\/span><\/td>\n | 3.715<\/span><\/td>\n | 1.564<\/span><\/td>\n | 2.151<\/span><\/td>\n<\/tr>\n\n\u2026<\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n<\/tr>\n\nCzech Republic<\/span><\/td>\n | 2.267.569<\/span><\/td>\n | 1.127.693<\/span><\/td>\n | 1.139.876<\/span><\/td>\n | 2.274.866<\/span><\/td>\n | 956.074<\/span><\/td>\n | 1.318.792<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n <\/p>\n \n\n\nAdmincode<\/strong><\/td>\nName<\/strong><\/td>\nPopulation \nyear average<\/strong><\/td>\nHouseholds \nyear average<\/strong><\/td>\nUnemployed \nPersons<\/strong><\/td>\n<\/tr>\n\n <\/td>\n | Municipality\/Obce<\/td>\n | number<\/td>\n | per mill \nof country<\/td>\n | number<\/td>\n | number<\/td>\n<\/tr>\n<\/thead>\n | \n\n532100<\/span><\/td>\n | Blevice<\/span><\/td>\n | 285<\/span><\/td>\n | 0,027<\/span><\/td>\n | 115<\/span><\/td>\n | 8<\/span><\/td>\n<\/tr>\n\n532169<\/span><\/td>\n | Bu\u0161t\u011bhrad<\/span><\/td>\n | 2.791<\/span><\/td>\n | 0,265<\/span><\/td>\n | 1.220<\/span><\/td>\n | 62<\/span><\/td>\n<\/tr>\n\n532282<\/span><\/td>\n | D\u0159etovice<\/span><\/td>\n | 500<\/span><\/td>\n | 0,048<\/span><\/td>\n | 209<\/span><\/td>\n | 14<\/span><\/td>\n<\/tr>\n\n532495<\/span><\/td>\n | Kole\u010d<\/span><\/td>\n | 623<\/span><\/td>\n | 0,059<\/span><\/td>\n | 265<\/span><\/td>\n | 28<\/span><\/td>\n<\/tr>\n\n532681<\/span><\/td>\n | Otvovice<\/span><\/td>\n | 674<\/span><\/td>\n | 0,064<\/span><\/td>\n | 304<\/span><\/td>\n | 25<\/span><\/td>\n<\/tr>\n\n532827<\/span><\/td>\n | Slatina<\/span><\/td>\n | 444<\/span><\/td>\n | 0,042<\/span><\/td>\n | 193<\/span><\/td>\n | 14<\/span><\/td>\n<\/tr>\n\n532851<\/span><\/td>\n | Stehel\u010deves<\/span><\/td>\n | 723<\/span><\/td>\n | 0,069<\/span><\/td>\n | 324<\/span><\/td>\n | 30<\/span><\/td>\n<\/tr>\n\n532975<\/span><\/td>\n | T\u0159ebusice<\/span><\/td>\n | 510<\/span><\/td>\n | 0,048<\/span><\/td>\n | 209<\/span><\/td>\n | 13<\/span><\/td>\n<\/tr>\n\n533092<\/span><\/td>\n | Z\u00e1kolany<\/span><\/td>\n | 541<\/span><\/td>\n | 0,051<\/span><\/td>\n | 249<\/span><\/td>\n | 19<\/span><\/td>\n<\/tr>\n\n534951<\/span><\/td>\n | Kralupy nad Vltavou<\/span><\/td>\n | 17.726<\/span><\/td>\n | 1,685<\/span><\/td>\n | 8.057<\/span><\/td>\n | 385<\/span><\/td>\n<\/tr>\n\n\u2026<\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n | <\/span><\/td>\n<\/tr>\n\nCzech Republic<\/span><\/td>\n | 10.518.570<\/span><\/td>\n | 1.000,000<\/span><\/td>\n | 4.567.667<\/span><\/td>\n | 352.200<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nON WHICH LEVEL IS THE DATA AVAILABLE?<\/h2>\nPOSTCODE (ZIP) LEVEL<\/a> \nWorldwide postal areas are geographic boundaries that define the geographic area for each postcode <\/p>\nADMINISTRATIVE AREA LEVEL \n<\/a>Municipality boundaries plus the higher levels like provinces and state boundaries <\/p>\nSMALL AREA LEVELS (MICRO AREAS) \n<\/a>Could be subdivisions of the postcode or administrative boundaries like census areas<\/p>\nThe data can be supplied in the following formats which allow easy loading to most database platforms:<\/p>\n | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |