Expand / Collapse
Use the - and -icon left of the headlines to open and close the different sections of the content area.
The - and -icon open / close all sections at once.
Explanatory notes are shown when the mouse cursor is moved over the field headlines.
The myMetadata Box collects variables which can be used in the functions of the work with myMetadata section.
via drag & drop into the box in the top right corner or by clicking the -icon which appears when you hover over the variables name or headline.
Add variable lists
On pages displaying variable lists you can add complete lists of variables as well by using the -icon which is placed next to the headline.
Remove a selected variable
with the -icon which appears on the right when hovering the variable in the list.
Study: MZ 2000
- Additional Programs
- Vocational, general and further education (Sampling Fraction: 0.45% )
- Complementary information on economic activity (Sampling Fraction: 0.45% )
- Previous economic activity (Sampling Fraction: 0.45% )
- Commuting characteristics (Sampling Fraction: 1% )
- Situation one year before (Sampling Fraction: 0.45% )
- Additional information on foreigners living in Germany (Sampling Fraction: 0.45% )
- Additional information on vocational education (Sampling Fraction: 0.45% )
- Additional information on economic activity (Sampling Fraction: 0.45% )
- When constructing the derived variables EF657 to EF670, the characteristic "Spouse or partner of reference person in the household" mentioned in the variable label was obviously not used, but "Spouse or partner of reference person in the family/living arrangement " (EF514=2). The variables labels of the derived variables EF657 to EF670 were therefore changed to "(...) spouse or partner of reference person in the family/living arrangement ". (Label change: February 2019).
Year Specific Documentation
Target Sample Size
|Achieved Sample Size||503185|
Units Of Observation
Describes the levels at which data is collected.
- Persons (in private households and collective dwellings)
Units Of Analysis
Describes the level at which data can be analyzed.
- Living arrangements
Timeframe of data collection.
Includes information on the different data collection modes used in the survey. The sum of all fields adds up to 100%.
- 3.4 % CAPI
- 80.9 % PAPI
- 15.7 % Self-administered
Percentage Of Proxy Interviews
Percentage of interviews that were not filled in with information provided by the respondent personally but by a representative.
Design Weight: Target
The initial design weights are used to assess the representativeness of the sample in regards to the universe. This field notes what level these initial design weights refer to.
Dwelling, Household, Persons
Design Weight: Method
Method on the base of which the initial design weighting is carried out.
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). Until 2004, by contrast, variables of the supplementary and additional programmes and the European Union Labour Force Surveys (EU-LFS) were implemented using smaller sampling fractions, which sometimes varied from stratum to stratum. For example, from 1996–2004 the national average was around 0.45% but the sampling fractions at administrative-district (Regierungsbezirk) level varied (0.4 %, 0.6 %, 0.8 %, or 1 %).
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 inverses of the sampling fractions of the Microcensus (1 %) and the Scientific Use File (70 %): w = 1 / (0.01 * 0.7).
However, for the supplementary and additional programmes, no information is available about the variable sampling fractions until 2004.
Non-response Weight: Method
In the Microcensus, as in all surveys, the sampling plan cannot be realised fully. Hence, undercoverage occurs in the form of non-response on the part of the households to be surveyed. Because households and their members are obliged by law to provide information for the Microcensus, non-response is due mainly to the fact that households could not be reached during the survey. Cases of non-response are corrected using the information that is available about the non-responding households.
From 1990 to 2004, 19 compensation classes were created at the level of regional subgroups (at least 100,000 inhabitants). These compensation classes were made up of a combination of the following variables: household size, nationality of the reference person of the household, right of occupancy of the reference person of the household (for Germans), or, in the case of single-person households, sex and age group. The compensation factor is the ratio of the households to be surveyed to the surveyed households (target figure divided by actual figure).
Coverage Adjustment Weight: Method
Description of calibration procedures undertaken to increase consistency with existing population statistics.
In contrast to compensation, adjustment is carried out at person level.
From 1990 to 2004, the sample results were adjusted to conform to benchmark figures from the intercensal population estimates at the level of the regional adjustment strata (at least 500,000 inhabitants on average) for the civilian population according to four classes: nationality (German, foreign national) x sex. The adjustment for regular soldiers/temporary career volunteers and persons doing military or community service is carried out at the level of the administrative districts of the federal states on the basis of inventory data of the Federal Ministry of Defence or the Federal Ministry of the Interior. The adjustment factor is the ratio of the target figure to the actual figure (i.e. target divided by actual), where the target figure is the intercensal population estimate and the actual figure is the Microcensus figure.
Final Weighting: Method
The final extrapolation factors result from the combination of the two-stage procedure of compensation and adjustment.
From 1990 to 2004, the final extrapolation factors were calculated by multiplying the household-related compensation factor by the person-related adjustment factor. In addition, a household factor was introduced that was calculated as the arithmetic mean of the person-related adjustment factors.
In the Scientific Use Files from 1989 or 1991 onwards, only the final extrapolation factors are included.
For the years 1996 to 2004, an extrapolation factor for persons is available in addition to the extrapolation factor at household level. Further extrapolation factors are available for the extrapolation of the variables of the European Union Labour Force Survey (a 0.45% subsample, on average) and additional programmes, some of which were conducted as a subsample with a variable sampling fraction of 0.45%, on average.
See [.pdf] (in German)