German Ageing Survey (DEAS): User Manual SUF DEAS 2008, Version 3.2 (March 2021)

The German Ageing Survey (DEAS) is a nationwide representative cross-sectional and longitudinal survey of the German population aged over 40. It is funded by the Federal Ministry for Family Affairs, Senior Citizens, Women and Youth (BMFSFJ). The German Centre of Gerontology in Berlin (DZA) is responsible for the conduct and ongoing development of the study. Sampling and fieldwork for all waves (1996-2020) has been carried out by the Bonn-based Institute for Applied Social Sciences (infas). The primary goal of the DEAS survey program is to provide a representative national database containing information describing the living conditions of the country’s middle-aged and older population and to study diversity within the older section of the population, the process of ageing as it affects individuals and processes of social change as they relate to old age and ageing. The DEAS covers a wide range of topics. The data obtained provide information on socioeconomic and demographic attributes as well as household composition, housing, family structure, social networks, psychological resources, attitudes as well as and physical and mental health. The comprehensive examination of people in mid- and older adulthood provides microdata for use both in social and behavioural scientific research and in reporting on social developments. The data thus provides a source of information for decision-makers, the general public and for scientific research. The DEAS applies a cohort-sequential design, which allows the users to analyze societal trends and individual trajectories (embedded inside societal trends) and to disentangle age effects from cohort effects. The first DEAS survey wave took place in 1996, further waves followed in 2002, 2008, 2011, 2014, 2017 and 2020. The third wave of the survey in 2008 considered a panel sample of study participants, who had entered the DEAS earlier as well as a new sample of adults, aged 40 to 85 years. Microdata of the German Ageing Survey (DEAS) are available free of charge to scientific researchers for non-profitable purposes. The Research Data Centre (FDZ-DZA) provides access and support to scholars interested in using DEAS data for their research. Data and documentations from completed DEAS waves are available by the FDZ-DZA. However, for reasons of data protection, signing a data distribution contract is required before data can be obtained

German Ageing Survey (DEAS): User Manual SUF DEAS2017_Regionaldaten_Infas360, Version 1.0

Based on respondents’ addresses of residence the Institute for Applied Social Sciences (infas360) delivered a selection of regional context indicators mainly at the zip code level. The anonymity of the survey participants is guaranteed. Any address information has been removed. Only the resulting context indicators can be matched to the survey data. The indicator system of infas360 provides a nationwide collection of microgeographical information on the basis of official and non-official data. These are available for the different levels of the postal-official classification system, e.g. the level of the five digits zip codes down to the level of buildings. Details are the company’s secret. The variables of the regional context data SUF DEAS2017 relate mostly to the postal codes of the delivery areas, occasionally to single municipality, settlement blocs or buildings. Which level is used can be seen in the description of the variables. In Germany the zip codes (PLZ) cannot be adapted into the official classification scheme. Cities often have multiple zip codes, small municipalities in rural areas occasionally share one. Relevant is the zip code, alternative the municipality, if it is too small to have an own one. This means: for municipalities with multiple zip codes the smallest geographical unit is the one with the same zip code. Vice versa for small municipalities in rural areas which share one zip code, the smallest geographical unit is the municipality. In the interests of simplification the geographical unit is characterised as the variable "PLZ". Only for participants whose addresses of residence can specifically be referenced, infas360 has developed geographic features. The geographic structural features relate mostly to the end of the years 2016 or 2017, delivered by infas360 in 2019. For better understanding and use most original variables have been recoded and labelled to derived ones in a summarized version. To ensure the anonymity of the respondents, all relative values have been rounded, e.g. to integers. Most of the structural features as described below are part of SUF DEAS2014 as well (see Lejeune & Engstler 2018). Newly added features are primarily variables on geographic distances of the respondents’ residence to central places, malls and physicians. There are similar structural features for SUF DEAS2002, 2008, 2011 and 2014 (see Engstler 2012a, 2012b; 2018; Engstler & Lejeune 2018)

German Ageing Survey (DEAS): User Manual SUF DEAS 2017, Version 2.2 (October 2021)

The German Ageing Survey (DEAS), funded by the Federal Ministry for Family Affairs, Senior Citizens, Women and Youth (BMFSFJ), is a nationwide representative cross-sectional and longitudinal survey of the German middle-aged and older population. The German Centre of Gerontology in Berlin (DZA) is responsible for the conduct and ongoing development of the study. The primary goal of the DEAS survey program is to provide a representative national database containing information describing the living conditions and to study the diversity within the older section of the population, the process of ageing as it affects individuals and processes of social change as they relate to old age and ageing. The DEAS covers a wide range of topics. The data obtained provide information on socioeconomic and demographic attributes as well as household composition, housing, family structure, social networks, psychological resources, attitudes as well as and physical and mental health. The comprehensive examination of people over 40 provides micro data for use both in social and behavioral scientific research and in reporting on social developments. The data thus provides a source of information for decision-makers, the general public and for scientific research. The DEAS applies a cohort-sequential design, which allows the users to analyze societal trends and individual trajectories (embedded inside societal trends) and to disentangle age effects from cohort effects. The first DEAS survey wave took place in 1996, further waves followed in 2002, 2008, 2011, 2014, 2017 and 2020. The 6th wave in 2017 considered a cross-sectional sample as well as a panel sample of study participants who had entered the DEAS earlier. Sampling and fieldwork for all waves (1996-2017) have been carried out by the Bonn-based Institute for Applied Social Sciences (infas), scanning and coding of the additional questionnaires by the DB Profi-Kontor GMBH in Butzbach

German Ageing Survey (DEAS): User Manual SUF DEAS2014, Version 4.1 (October 2021)

The German Ageing Survey (DEAS) is a nationwide representative cross-sectional and longitudinal survey of the German population aged over 40. It is funded by the Federal Ministry for Family Affairs, Senior Citizens, Women and Youth (BMFSFJ). The German Centre of Gerontology in Berlin (DZA) is responsible for the conduct and ongoing development of the study. The primary goal of the DEAS-Survey program is to provide a representative national database containing information describing the living conditions of the country's middle-aged and older population and to study the diversity within the older section of the population, the process of ageing as it affects individuals and processes of social change as they relate to old age and ageing. The DEAS covers a wide range of topics. The data obtained provide information on socioeconomic and demographic attributes as well as household composition, housing, family structure, social networks, psychological resources, attitudes as well as and physical and mental health. The comprehensive examination of people in mid- and older adulthood provides micro data for use both in social and behavioral scientific research and in reporting on social developments. The data thus provides a source of information for decision-makers, the general public and for scientific research. Microdata of the German Ageing Survey (DEAS) are available free of charge to scientific researchers for non-profitable purposes. The Research Data Centre (FDZ-DZA) provides access and support to scholars interested in using DEAS data for their research. Data and documentations from completed DEAS waves are available by the FDZ-DZA (https://www.dza.de/en/research/fdz). However, for reasons of data protection, signing a data distribution contract is required before data can be obtained. The DEAS applies a cohort-sequential design, which allows the users to analyze societal trends and individual trajectories (embedded inside societal trends) and to disentangle age effects from cohort effects. The first DEAS survey wave took place in 1996, further waves followed in 2002, 2008, 2011, 2014, 2017 and 2020. The 5th wave in 2014 considered a panel sample of study participants who had entered the DEAS earlier as well as a new sample of adults, aged 40 to 85 years. Sampling, fieldwork and data collection for all waves have been carried out by the Bonn-based Institute for Applied Social Sciences (infas). Infas also took over scanning, coding of the open references to the occupational status and the new data weighting

German Ageing Survey (DEAS): User Manual SUF DEAS 2011, Version 2.2 (March 2021)

The German Ageing Survey (DEAS) is a nationwide representative cross-sectional and longitudinal survey of the German population aged over 40. It is funded by the Federal Ministry for Family Affairs, Senior Citizens, Women and Youth (BMFSFJ). The German Centre of Gerontology in Berlin (DZA) is responsible for the conduct and ongoing development of the study. Sampling and fieldwork for all waves (1996-2020) has been carried out by the Bonn-based Institute for Applied Social Sciences (infas). The primary goal of the DEAS survey program is to provide a representative national database containing information describing the living conditions of the country's middle-aged and older population and to study diversity within the older section of the population, the process of ageing as it affects individuals and processes of social change as they relate to old age and ageing. The DEAS covers a wide range of topics. The data obtained provide information on socioeconomic and demographic attributes as well as household composition, housing, family structure, social networks, psychological resources, attitudes as well as and physical and mental health. The comprehensive examination of people in mid- and older adulthood provides microdata for use both in social and behavioral scientific research and in reporting on social developments. The data thus provides a source of information for decision-makers, the general public and for scientific research. The DEAS applies a cohort-sequential design, which allows the users to analyze societal trends and individual trajectories (embedded inside societal trends) and to disentangle age effects from cohort effects. The first DEAS survey wave took place in 1996, further waves followed in 2002, 2008, 2011, 2014, 2017 and 2020. The 4th wave of the survey in 2011 considered a panel sample of study participants, who had entered the DEAS earlier