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• Within the framework of the additional programmes the following variables in the 2013 Microcensus are new: Type of building, number of dwellings in the building (EF489 - EF490, EF588, EF635), types of central heating and hot water supply (EF497, EF503, EF636, EF1000u2 - EF1001u11, EF1014-EF1017), total area, date of moving in and year of construction of the dwelling, Details of the condominium (EF491 - EF495, EF986), details of rent and utilities (EF499 - EF501, EF504, EF1004 - EF1013) and details of rent expense (EF638 - EF640, EF643, EF646 - EF649).
• The comparison of the ad hoc module "Labour market conditions of immigrants and their direct descendants" (EF1012 - EF1115) with the 2008 module (EF1012 - EF1115) showed changes both in the target population (15-64 year olds; 2008: 15-74 year olds) and in questions and answer categories, thus limiting comparability; see Eurostat (2015).
• In order to improve the measurement of ILO labour status, in particular, the fieldwork and a number of questions have undergone changes. Although no significant changes have taken place since 2011, some deviations between the results of the Microcensus and other labour market statistics are still to be found in 2013. This applies, for example, to small and marginal jobs. In particular, changes due to methodological factors must be taken into account when comparing with previous surveys of the Microcensus (see Körner/Puch 2009; Körner/Marder-Puch 2015).
• For cross-sectional evaluations for the survey year, records are not needed that are coded with -7 "Selection area without surveyed household" and -8 "No vacant flat, private households and collective accommodations which failed to respond in EF30 and other variables”.
• The regional details federal state (Bundesland) and a rough classification of the community size classes (Gemeindegrößenklassen) – the latter is not shown for the small federal states Bremen and Saarland – are included in the Scientific Use File (SUF). With the help of a special code of the variable community size class, it is possible to distinguish between West and East Berlin (EF563 = 9 Berlin-East).
• The other variables in the SUF are also coarsened if necessary, so that each value in the univariate distributions comprises at least 5,000 persons from the target population.
• The values of the variable nationality are aggregated in such a way that each group of nationalities in the target population comprises at least 50,000 inhabitants. In cases where variables are coarsened, the most strongly populated category is shown in the SUF.
• The SUF is a de-facto anonymised 70% sample. Until 2011, the sampling units were households or apartments where all persons in a selected household or apartment were included in the sub-sample. From 2012 onwards, the sampling districts within a rotational quarter will be used as sampling units for the subsample. This, together with longitudinal consistent identifiers, makes it possible to generate panel data sets with the Scientific Use Files.
• For details, see “Zur Abgrenzung der Bevölkerungs- und Erwerbskonzepte" [The demarcation of the population and labour force concepts]
Statistisches Bundesamt / GESIS (2018): Wichtige Informationen zur Nutzung des Mikrozensus Scientific Use Files 2014. [.pdf].
This document contains the information on this website as well as further details on the Microcensus SUF 2014.
|Achieved Sample Size||478051|
ca. 24 %
The Microcensus is a single-stage, stratified cluster sample with a uniform sampling fraction for all strata. As a rule, the sampling fraction is 1%; it applies to all sampling units (dwellings, households, persons).
Because the selection probability of the Scientific Use File (SUF) basically remains constant at 70%, design weights can be created on the basis of the inverse of the sampling fraction of the Microcensus (1%) and the Scientific Use File (70%): w = 1 / (0.01 * 0.7).
The final weights of the Microcensus result from a combination of this two-stage procedure of compensation and adjustment.