Title
European Union Labour Force Survey 1987
Geographical Coverage
Time Period Covered
From 1983 to 1997, the EU Labour Force Survey was conducted only in spring (quarter 1 or 2 depending on the country).
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Eurostat (2023): EU-LFS database User Guide
Eurostat (1988): The European Union labour force survey. Methods and definitions – 1988.
Country Specific Information: EU-LFS 1987
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PT - Portugal
Producer
Statistics Portugal
Universe
Individuals residing in a private dwelling during the reference week.
Source Of Sampling Frame
Spatial Reference Geographical Frame (based on results of the previous census)
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Census enumeration units
Stratification Criteria
The sample is stratified according to seven NUTS II regions.
Number Of Rotational Groups
6
Date of Data Collection
Spring results
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
40.12 %
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
In the event of non-response, a duplication procedure is used, i.e. if it proves impossible to hold interviews at a given dwelling, an attempt is made to compile a series of characteristics for the type of family, and to find another family with the same characteristics in the same section and duplicate its replies.
As the sample is not stratified, the survey findings are grossed-up to the total population (as estimated by the INE's Demographic Studies Centre) using as a weighting factor the ration between this estimate and the total population in the sample.
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FR - France
Corresponding National Study
Questionnaire logement de l’enquête emploi
Producer
National Institute of Statistics and Economic Studies
Universe
Population aged 15+ living in private households on French metropolitan territory.
Source Of Sampling Frame
1982 Census
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Area units
Stratification Criteria
The PSUs were stratified by the 21 regions of the country [...] and by six categories accordig to their degree od urbanization. By this cross-classification 120 strata were formed.
Number Of Rotational Groups
3
Date of Data Collection
Spring results
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
32.58 %
Design Weight: Target
Person
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
To compensate for non-response all households are cross-classified by the following variables: category of dwelling, employment status of the head of household, category of commune, size of household, sex and age of the head. These characteristics for the non-responding households are based on information collected either from the current survey or the preceding one.
Coverage Adjustment Weight: Method
An independent estimate based on 1982 census projections of the population falling into five-year age group/sex categories is divided by the survey estimates derived from the previous two factors to provide a national age-sex factor, which is then entered on all records belonging to the appropriate category. The national estimates thus derived refer only to persons living in private households.
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LU - Luxembourg
Corresponding National Study
Erhebung über Arbeitskräfte
Producer
infas Institute for Applied Social Sciences
Universe
The resident population comprises persons registered as residing in one of the communes.
Source Of Sampling Frame
List of census districts (from general population census)
Sampling Design
Probability
- random
- not stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
No stratification is carried out.
Number Of Rotational Groups
4
Date of Data Collection
One week per quarter
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
42.06 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Adjustment for non-response is made on the basis of the estimated total population based on the 1981 population census. The variables used in the post-stratification are sex, nationality and five-year age groups.
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ES - Spain
Corresponding National Study
Economically active population survey
Producer
Spanish Statistical Office
Universe
The population residing in private dwellings is covered. The dwellings are those used as the habitual or permanent dwelling throughout all or most of the year.
Sampling Design
Probability
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Dwellings
Sampling Method
Sampling Design: Systematic regarding Primary Sampling Units, Random regarding Secondary Sampling Units
Number Of Rotational Groups
6
Date of Data Collection
Spring results
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
64.92%
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The treatment of non-response differs according to the rate of invidence and whether the dwelling is used in the first or subsequent interview.
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NL - Netherlands
Corresponding National Study
Enquête Beroepsbevolking
Producer
Statistics Netherlands
Universe
Persons residing in the Netherlands living in private households.
Source Of Sampling Frame
List of addresses
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Addresses
Stratification Criteria
The municipalities are assembled in 80 strata. These strata are geographic areas based on a cross-classification of 40 Corop regions (Committee for the Coordination of a Regional Research Programme) and 64 GAB regions (regional employment exchanges).
Number Of Rotational Groups
2
Date of Data Collection
1st to 22nd/23rd week, not uniformly spread
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
41.73 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The weighting consists of wo stages. In the first stage all cases are cross-classified by nationality, sex, age and region. The estimates of the first stage are the input for the second stage. In the second stage all classes are cross-classified in two ways by the same variables (sex, marital status, age and region). The two ways of cross-classification are based on different combinations of the regional classification and the classification of the three other variables. One cross-classification consists of a fine regional classification and a broad classification of the three other variables, the other cross-classification consists of a broad regional classification and a fine classification of the three other variables. The final weights are determined by iterative, proportional fitting of the first stage estimates to the two distributions in the second stage.
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BE - Belgium
Corresponding National Study
Continuous Labour Force Survey /
Ständige Erhebung über Arbeitskräfte
Producer
Directorate-general Statistics and Economic Information
Universe
Members of households residing on the national territory as at 1 January.
Source Of Sampling Frame
Population register in each commune, national register of natural persons
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Households
Stratification Criteria
The national territory was divided into arrondissements (administrative districts), forming 43 strata.
Number Of Rotational Groups
0
Date of Data Collection
Spring results
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
36.73 %
Design Weight: Target
Person
Non-response Weight: Method
Grossing to population counts and adjustments for non-response were based on a post-stratification according to sex and age within each arrondissement. In each of the classes thus formed, a weighting coefficient was calculated, using the estimated sex and age structure of the population on January 1.
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DE - Germany
Corresponding National Study
The German micro-census /
Mikrozensus
Producer
Statistische Ämter des Bundes und der Länder
Sampling Design
Probability
- stratified
- one stage
Participation Mandatory
Yes
Type Of Data Source
Survey
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UK - Great Britain
Producer
UK Office for National Statistics
Universe
Persons living in private households, including persons who are temporarily absent.
Source Of Sampling Frame
GB: Royal Mail's Postcode Address File
Sampling Design
Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Addresses
Secondary Sampling Units
Not used
Stratification Criteria
In England and Wale the population to be surveyed was divided into three major strata according to the type of local authority district in which they lived: local authoirites in the metropolitan counties and Greater London, local authorities which either had a population density of at least 2 persons per hectare and a population greater than 125 000 or had a population density greater than 24 persons per hecatre; and remaining local authorities.
Sampling Method
Northern Ireland: single random sampling design +
Far north of Scotland: telephone number is PSU
Number Of Rotational Groups
5
Date of Data Collection
Spring results
Participation Mandatory
No
Type Of Data Source
Register,Survey
Design Weight: Target
Address
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The adjustment procedure is based on a three-stage a posteriori stratification. Figures are based on independent demographic estimates. The stratification variable for the first stage is the Local Authority District. This stage makes it possible to make adjustments for different rates of non-response in the various local authority areas and ensures that the results are geographically representative. The second-stage variables are sex by age band This stratification is intended to ensure that the age profile of the 16-24 year old is correct at national level. The variables in the third stage are region, sex and age band
The three stages are applied by means of an iterative procedure designed to ensure that the estimates are consistent with the stratification variable sets.
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IT - Italy
Producer
Italian National Institute of Statistics
Universe
Persons residing on Italian territory living in private households.
Source Of Sampling Frame
Municipal registers
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Households
Stratification Criteria
Stratification of the municipalities in each NUTS 3 province is based on the population of the strata (municipality).
Number Of Rotational Groups
6
Date of Data Collection
One week per quarter
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
41.41 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Whenever a household can not be interviewed for any reason it is subsituted by another.
The population adjustment of the sample results is carried out stratum by stratum for men and women separately. In this adjustment procedure use is made of the most recent population estimates calculated monthly by Istat, using data from the municipal registers.
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EL - Greece
Producer
Hellenic Statistical Authority (EL.STAT)
Source Of Sampling Frame
1981 Population Census
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Area units
Stratification Criteria
Using as criterion the degree of urbanization, the localities of the country are allocated to 10 major strata. 8 strata are further subdivided into the nine administrative regions of the country; the stratum of Greater Salonica is divided into 10 and that of Greater Athens into 40 equally sized sub-strata.
Number Of Rotational Groups
4
Date of Data Collection
All weeks in 2nd quarter, not uniformly spread
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
48.24%
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
"No stratification is carried out a posteriori. The weighting factor
related to population adjustment is such that, at national level, the survey population estimates are identical to the official independent population estimates."
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DK - Denmark
Universe
Persons aged 15-66 with domicile in Denmark according to the Central Population Register living in either private or collective households.
Source Of Sampling Frame
Current Population Register
Sampling Design
Probability
- random
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Number Of Rotational Groups
3
Date of Data Collection
Spring results
Participation Mandatory
No
Type Of Data Source
Register,Survey
Percentage Of Proxy Interviews
21.15%
Design Weight: Target
Person
Non-response Weight: Method
Both the non-response adjustment and the total population adjustment were made on the basis of a post-stratification. The stratification variables used were sex, year of birth and geographical region.
The results have been adjusted by the calculation of one factor per family on 1 January. All persons in a given family are allocated the same factor values. Adjustment factors are calculated by means of post-stratification, which divides the sample into strata according to the size of family, age, sex, part of the country and urban/rural situation.
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IE - Ireland
Corresponding National Study
Quarterly National Household Survey
Producer
Central Statistics Office Ireland
Universe
Persons who usually reside on Irish territory living in private households.
Source Of Sampling Frame
Census of Population 1981
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Dwellings
Stratification Criteria
Strata are formed by crossing counties with the level of urbanization. This results in a total of 151 strata.
Number Of Rotational Groups
4
Date of Data Collection
Spring results
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
22.47%
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Adjustments for non-response and listings which do not contain a dwelling unit were made by modifying the grossing-up factor, at PSU level, by a factor (1 + (population of non-response units) / (population of respondent units)).
Coverage Adjustment Weight: Method
A population adjustment, at regional level, was carried out for
males and females separately by five-year age groups to ensure that the survey population estimates were identical to independent official population estimates.