title: [Health and illness in the country, state NRW, and its communities. Results from the 2009 German Microcensus].
abstract: The health-for-all policy framework needs data for action. Results from the German Microcensus can be extrapolated to the population at the country, state ("Bundesländer"), and community levels. Most of the information in the 2009 Microcensus was given under the statutory obligation; providing health information in the supplementary program was optional. The selection rate was 1% of the population. The Microcensus' continuous sampling method during the year, thus, determines illness rates as an average for the year. There are distinct health disparities between not only the states but also between communities in North Rhine-Westphalia. Annual average illness rates for 2009 are associated in NRW with influencing social factors, e.g., education. Illness rates rise with decreasing net income for the past month. Blue-collar workers suffered more often from illness or accident injuries at the time. The levels of illness in the overall employable population increase in the communities of NRW with the proportion of inhabitants who receive governmental financial aid or unemployment benefits to secure their basic livelihood. The Microcensus has the potential to be a source for systematic and harmonized monitoring concerning health in the country, states, and communities of Germany.
authors.affiliation: Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit, Eggenreuther Weg 43, 91058, Erlangen, Deutschland. Alfons.Hollederer@lgl.bayern.de
authors.forename: A
authors.initials: A
authors.lastname: Hollederer
mesh_terms: D000059:Accidents / Q000706:statistics & numerical data*; D019352:Censuses; D003430:Cross-Sectional Studies; D006233:Persons with Disabilities / Q000706:statistics & numerical data; D004522:Educational Status; D005858:Germany; D054624:Health Status Disparities; D006306:Health Surveys / Q000706:statistics & numerical data*; D006801:Humans; D009017:Morbidity; D011632:Public Assistance / Q000706:statistics & numerical data; D012959:Socioeconomic Factors; D014478:Unemployment / Q000706:statistics & numerical data; D014947:Wounds and Injuries / Q000453:epidemiology*