Demographics of the female population aged 50 years and older in Germany’s north east region – Selected aspects
Considerable demographic differences characterise the Berlin, Brandenburg and Mecklenburg-Western Pomerania region (the north east region), for example, regarding settlement patterns and age structures. These differences are also observed among women in the age group 50 years and older. The most con...
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| Format: | Article |
| Language: | deu |
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Robert Koch Institute
2020-06-01
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| Series: | Journal of Health Monitoring |
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| Online Access: | https://www.rki.de/EN/Content/Health_Monitoring/Health_Reporting/GBEDownloadsJ/FactSheets_en/JoHM_02_2020_Demographics_north_east_region_Germany.pdf?__blob=publicationFile |
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| author | Enno Nowossadeck Franziska Prütz Martin Thißen |
| author_facet | Enno Nowossadeck Franziska Prütz Martin Thißen |
| author_sort | Enno Nowossadeck |
| collection | DOAJ |
| description | Considerable demographic differences characterise the Berlin, Brandenburg and Mecklenburg-Western Pomerania region (the north east region), for example, regarding settlement patterns and age structures. These differences are also observed among women in the age group 50 years and older. The most conspicuous difference is population density. While Berlin is one of the most densely populated cities in Germany, Brandenburg and Mecklenburg-Western Pomerania are the two most sparsely populated federal states. In these two states, the female population is on average older than in Berlin, a fact particularly true of rural areas. Continuing migration is a contributing factor not only to a rise in average age but also to further decreasing population density. An essential consideration for rural area health care provision are the distances people need to travel to reach services. Having (access to) a car is a key factor. Yet, as older women are less likely than men of the same age to have (access to) a car, public transport and other modern forms of mobility (dial-a-bus services, shared taxis) are gaining in importance. |
| first_indexed | 2024-03-07T23:19:43Z |
| format | Article |
| id | doaj.art-2e184ee8898b47938d6b5cc77dbbbd27 |
| institution | Directory Open Access Journal |
| issn | 2511-2708 |
| language | deu |
| last_indexed | 2024-04-24T14:10:36Z |
| publishDate | 2020-06-01 |
| publisher | Robert Koch Institute |
| record_format | Article |
| series | Journal of Health Monitoring |
| spelling | doaj.art-2e184ee8898b47938d6b5cc77dbbbd272024-04-03T09:14:05ZdeuRobert Koch InstituteJournal of Health Monitoring2511-27082020-06-0152354110.25646/6066johm-5-2-35Demographics of the female population aged 50 years and older in Germany’s north east region – Selected aspectsEnno Nowossadeck0Franziska Prütz1Martin Thißen2Robert Koch Institute, Berlin Department of Epidemiology and Health MonitoringRobert Koch Institute, Berlin Department of Epidemiology and Health MonitoringRobert Koch Institute, Berlin Department of Epidemiology and Health MonitoringConsiderable demographic differences characterise the Berlin, Brandenburg and Mecklenburg-Western Pomerania region (the north east region), for example, regarding settlement patterns and age structures. These differences are also observed among women in the age group 50 years and older. The most conspicuous difference is population density. While Berlin is one of the most densely populated cities in Germany, Brandenburg and Mecklenburg-Western Pomerania are the two most sparsely populated federal states. In these two states, the female population is on average older than in Berlin, a fact particularly true of rural areas. Continuing migration is a contributing factor not only to a rise in average age but also to further decreasing population density. An essential consideration for rural area health care provision are the distances people need to travel to reach services. Having (access to) a car is a key factor. Yet, as older women are less likely than men of the same age to have (access to) a car, public transport and other modern forms of mobility (dial-a-bus services, shared taxis) are gaining in importance.https://www.rki.de/EN/Content/Health_Monitoring/Health_Reporting/GBEDownloadsJ/FactSheets_en/JoHM_02_2020_Demographics_north_east_region_Germany.pdf?__blob=publicationFiledemographic ageingpopulation densityhealth caresettlement structure |
| spellingShingle | Enno Nowossadeck Franziska Prütz Martin Thißen Demographics of the female population aged 50 years and older in Germany’s north east region – Selected aspects Journal of Health Monitoring demographic ageing population density health care settlement structure |
| title | Demographics of the female population aged 50 years and older in Germany’s north east region – Selected aspects |
| title_full | Demographics of the female population aged 50 years and older in Germany’s north east region – Selected aspects |
| title_fullStr | Demographics of the female population aged 50 years and older in Germany’s north east region – Selected aspects |
| title_full_unstemmed | Demographics of the female population aged 50 years and older in Germany’s north east region – Selected aspects |
| title_short | Demographics of the female population aged 50 years and older in Germany’s north east region – Selected aspects |
| title_sort | demographics of the female population aged 50 years and older in germany s north east region selected aspects |
| topic | demographic ageing population density health care settlement structure |
| url | https://www.rki.de/EN/Content/Health_Monitoring/Health_Reporting/GBEDownloadsJ/FactSheets_en/JoHM_02_2020_Demographics_north_east_region_Germany.pdf?__blob=publicationFile |
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