Title
European Union Labour Force Survey 2002
EU-LFS 2002 contains the Module on Employment of disabled people.
The target population consists of the persons aged 16 to 64.
Geographical Coverage
Time Period Covered
Since 1998, the transition to a quarterly continuous survey (with reference weeks spread uniformly throughout the year) has been gradually conducted by Member States. Some countries first introduced a continuous annual survey (meaning the reference weeks were uniformly distributed throughout the spring quarter) and then switched to a quarterly collection, whereas others moved directly to a quarterly continuous survey.
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Eurostat (2023): EU-LFS database User Guide
Eurostat (2003): The European Union labour force survey. Methods and definitions – 2001.
Country Specific Information: EU-LFS 2002
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LV - Latvia
Producer
Central Statistical Bureau of Latvia
Universe
All persons aged 15 to 74 years who are permanently resident in Latvia.
Source Of Sampling Frame
Population Census 2000, Population Register, statistical register of dwellings, statistical register of households
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Households
Stratification Criteria
The strata are defined by degree of urbanisation (Riga, eight oher largest towns, towns and rural areas).
Number Of Rotational Groups
3
Date of Data Collection
Continuous survey
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
35.60 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The initial weights are calculated according to the sample design, with all persons within the same PSU having equal design weights. The design weights are adjusted using the data of response level in each PSU.
Coverage Adjustment Weight: Method
These weights are then adjusted on the basis of demographic data. Demographic data are broken down by degree of urbanisation, age groups and sex for adjustment of the quarterly weights. For adjustment of the yearly weights demographic data are broken down by degree of urbanisation, age groups and sex as well as in NUTS 3. All persons within the same household have equal initial weights, but the final weights tend to be diverse.
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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
Central Population Register
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
40.38 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The a posteriori stratification variables are age group, sex, nationality and household size. The weightings are a function of the pattern of settlement and are updated according to the a posteriori stratification criteria.
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LT - Lithuania
Producer
Statistics Lithuania
Universe
All persons aged 15+ living in private households.
Source Of Sampling Frame
Population Register
Sampling Design
Probability
- random
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Number Of Rotational Groups
4, 2-(1)-2
Date of Data Collection
One week per quarter
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
33.66 %
Design Weight: Target
Person
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The initial household design weights are adjusted by the use of auxiliary information relating to population data on the intersection of age groups, sex and 10 NUTS III (counties) as well as data from the National Labour Exchange on the number of registered unemployed persons. Each member of the household receives the same weight as the household.
Coverage Adjustment Weight: Method
The weighting method is based on the generalised calibration method introduced by Deville and Särndal in 1992. The calculation of the calibrated weights is carried out with the use of the SAS macro program CLAN, developed by Statistics Sweden.
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HR - Croatia
Corresponding National Study
Labour Force Survey
Producer
Republic of Croatia; Central Bureau of Statistics
Participation Mandatory
No
Percentage Of Proxy Interviews
34.48 %
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RO - Romania
Producer
National Instititue of Statistics Romania
Universe
All Romanian citizens resident in Romania.
Source Of Sampling Frame
Multifunctional Sample of Terriotorial Areas (EMZOT; master sample EMZOT)
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Dwelling clusters
Stratification Criteria
Stratification criteria are the residence area (urban/rural) and county (NUTS 3 level), there are 88 strata in all.
Number Of Rotational Groups
4; 2-(2)-2
Date of Data Collection
Continuous survey
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
25.61 %
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The responding dweling units are categorised by the characteristics county (NUTS 3), urban/rural residency and occupational status of the head of household.
Coverage Adjustment Weight: Method
The weights are calibrated to the best latest available population totals by region/urban-rural residency, sex, age groupds, using the raking-ration method as supplied by the French SAS macro Calmar.
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NO - Norway
Producer
Statistics Norway
Source Of Sampling Frame
Central Population Register
Date of Data Collection
Continuous survey
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
13.04 %
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HU - Hungary
Producer
Hungarian Central Statistical Office
Universe
Persons living in the private households in Hungary, included are also household members temporarily absent or living abroad if they have common income/consumption with the surveyed household.
Source Of Sampling Frame
2001 Population and Housing Census
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Dwellings
Stratification Criteria
The sample is stratified by administrative units and by size
categories of the localities.
Number Of Rotational Groups
6
Date of Data Collection
One week per month
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
35.59 %
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
For any stratum of the sample, the unique design weight is defined as the ratio of the total number of dwellings in the stratum to that in the sub-sample for that stratum.
Coverage Adjustment Weight: Method
Calibrated weights are determined with the method of generalised raking. For each of the 20 geographical units, the calibration variables or controls are totals for age-sex groups, total number of household and total resident population in cities with 50 000+ inhabitants. The calibration is organised so that all members in a sample household have the same calibrated weight as that household.
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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 or collective households on French metropolitan territory.
Source Of Sampling Frame
Population Census of 1999
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Area units
Stratification Criteria
The primary units were stratified by crossing 21 regions and
10 categories of commune.
For the second level, in the rural cantons and the urban units
with fewer than 10 000 inhabitants, in each primary unit
sample, communes with fewer than 160 dwellings were
combined with adjoining communes. A commune (or group
of communes) was then drawn with a probability proportional
to the number of dwellings.
In each urban sample with more than 10 000 inhabitants, a
list of census districts was drawn up, showing the number of
dwellings. After a calculation of the quotient between the
number of dwellings in the urban unit and the number of
areas to be drawn there, districts were segmented in as
many portions and a sample district in proportion to the
number of houses was drawn in each portion. The same
principle was applied to urban areas with more than 100 000
inhabitants.
The final level of sampling consists in cutting out the
secondary unit in areas with between about 80 to 160
dwellings according to the strata.
Number Of Rotational Groups
3
Date of Data Collection
Spring results (more than 1 week)
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
29.92 %
Design Weight: Target
Person
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Each of the three sub-samples is adjusted in line with the population pyramid at the time of the survey, by sex and five-year age group.
Coverage Adjustment Weight: Method
During the second phase, a method known as raking ratio is used to adjust the weighting of each household so that the survey estimates agree with independent demographic estimates by sex and five-year age group. This method ensures that analyses at the level of individuals and households yield consistent results.
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BG - Bulgaria
Universe
The resident population includes all persons usually residing in Bulgaria, including persons temporarily abroad (less than one year).
Source Of Sampling Frame
2001 Population Census
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Households
Stratification Criteria
The sample is stratified by district (28 administrative districts at NUTS 3 level), crossed with urban/rural area.
Number Of Rotational Groups
4; 2-(2)-2
Date of Data Collection
One week per quarter
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
26.69 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The results are extrapolated a posteriori to the population in each stratum by sex and age groups.
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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
National Register of Persons
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Households
Stratification Criteria
The entire national territory is divied into districts forming 43 strata.
Number Of Rotational Groups
0
Date of Data Collection
Continuous survey
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
26.69 %
Design Weight: Target
Person
Non-response Weight: Method
The population and the sample are the subject of a posteriori stratification by administrative district, sex and age.
Coverage Adjustment Weight: Method
In each of the strata thus obtained, a weighting is calculated whose
numerator is the population as at 1 January according to the National Register of Persons and whose denominator the number of usable responses.
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DE - Germany
Corresponding National Study
The German micro-census /
Mikrozensus
Producer
Statistische Ämter des Bundes und der Länder
Universe
The resident population includes all inhabitants with their main place of residence and their secondary residence in the territory of the Federal Republic living in private and collective households.
Source Of Sampling Frame
1) Census data from 1987: survey base for former BRD. 2) Central population register of the German Democratic Republic: data for former DDR. 3) Register of new dwellings
Sampling Design
Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Dwelling blocks
Secondary Sampling Units
Not used
Stratification Criteria
The stratification by region and size of the buildings is based on the size classes used to work out the sampling units. The sampling rate varies from one region to another. Within each stratum, an effect similar to stratification is obtained by systematic sampling in a list classified by geographical entity.
Number Of Rotational Groups
4
Date of Data Collection
One week in spring
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
27.94 %
Design Weight: Target
Household
Non-response Weight: Method
A two-stage adjustment procedure is used.
(a) If possible, limited data are collected for households which fail to respond. These data can include: number of members of the household, nationality, and for households comprising only one person: age and sex. From this data, the weightings of respondent households are increased to take account of non-response in the region.
(b) The sample, weighted to take account of non-response, is stratified a posteriori by region, sex, age and nationality and is extrapolated to the population.
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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
Central Population Register
Sampling Design
Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Sampling Method
The sample comprises 5000 persons aged 16-66 registered as
unemployed two quarters prior to the survey Quarter and 11 665 persons aged 15-74 drawn from the Population register (and not registered as unemployed two quarters prior to the survey quarter).
Number Of Rotational Groups
3
Date of Data Collection
Continuous survey
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
2.08 %
Design Weight: Target
Person
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
For the part of the sample comprising registered unemployed persons, an a posteriori stratification by age, income and level of educational attainment is done. For the remainder of the sample, the a posteriori stratification is carried out on the basis of age, gross income and sector of activity.
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FI - Finland
Corresponding National Study
Finnish Labour Force Survey
Producer
Statistics Finland
Universe
Persons who, according to the Population Register, were legally domiciled in Finland on 31 December of the year preceding the survey. Persons temporarily absent from the country are included, as are foreign nationals who intend to reside in Finland for at least a year.
Source Of Sampling Frame
Central Population Register
Sampling Design
Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
The population of individuals is divided into strata, these are
formed according to NUTS 1 regions with over-sampling from the Autonomous Territory of the Åland Islands.
Number Of Rotational Groups
5; 3-(1)-2
Date of Data Collection
Continuous survey
Participation Mandatory
No
Type Of Data Source
Register,Survey
Percentage Of Proxy Interviews
16.97 %
Design Weight: Target
Person
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
A posteriori stratification at one level is performed by sex, five-year age group and NUTS III region (22 regions).
Coverage Adjustment Weight: Method
"Information on job applicants obtained from the Ministry of Employment is also used as a post-stratification variable.
The data are limited to the aggregates of the central population register."
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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 1996
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Dwelling blocks
Secondary Sampling Units
Households
Stratification Criteria
Strata are formed by breaking the counties down by degree of urbanisation.
Number Of Rotational Groups
5
Date of Data Collection
Continuous survey
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
37.51 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The sample is stratified a posteriori by NUTS III region, age group and sex. Independent demographic estimates are used for the stratification.
Coverage Adjustment Weight: Method
The weightings are calculated using the inverse of the
probability of selection after adjustment to the population pyramid by sex and age group and on population distribution by NUTS III region.
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AT - Austria
Corresponding National Study
The Austrian micro-census / Mikrozensus
Producer
Statistik Austria
Universe
Persons who have their main residence on Austrian territory during the reference week.
Source Of Sampling Frame
Census of Dwellings and Houses
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Dwellings
Secondary Sampling Units
Not used
Stratification Criteria
A stratification was carried out within each Land using data obtained
from the census on the number of occupants, size, period of construction and amenities.
Number Of Rotational Groups
8
Date of Data Collection
Quarterly results (not uniformly spread)
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
37.70 %
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The extrapolated population is based on independent demographic estimates by Bundesland, sex and age, an additional constraint being that the share of foreign nationals in the total population must tally with the latest demographic estimates. An iterative process is applied to ensure that all members of a given household have an equal weighting.
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CZ - Czech Republic
Producer
Czech Statistical Office
Universe
Persons living in private households, disregarding the type of their stay (permanent, temporary or non-registered).
Source Of Sampling Frame
Register of Census Areas
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
Stratification is carried out by region (districts, Prague 1 district).
Number Of Rotational Groups
5
Date of Data Collection
Continuous survey
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
48.58 %
Design Weight: Target
Dwelling
Non-response Weight: Method
The weights are produced by extrapolating a posteriori to the population in 12 age groups, sex and the 77 districts. The demographic figures for individual quarters 2004 were interpolated according to the final result of Census 2001 taking into account the definitive demographic data for end-of-year of 2001 and 2002.
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CY - Cyprus
Producer
Statistical Service of Cyprus, Ministry of Finance
Universe
Persons who usually reside in Cyprus or intend to stay in Cyprus for at least 12 months.
Source Of Sampling Frame
Population Census of 2001
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
The variables used for stratification are the Districts and the urban/rural areas within each district.
Number Of Rotational Groups
6
Date of Data Collection
Continuous survey
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
45.68 %
Design Weight: Target
Dwelling
Non-response Weight: Method
The results are weighted a posteriori to the population households by sex and age groups. No district or urban/rural weighting is carried out.
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SE - Sweden
Corresponding National Study
Arbetskraftsundersökningen
Producer
Statistics Sweden
Universe
Persons between 15 and 74 who are domiciled in Sweden according to the Population Register.
Source Of Sampling Frame
Statistics Sweden's Register of the Total Population
Sampling Design
Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
The sample is stratified according to sex, region, nationality and employment status according to the Register of Employment, which gives a total of 192 strata.
Number Of Rotational Groups
8
Date of Data Collection
Continuous survey
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
3.33 %
Design Weight: Target
Person
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Totals are calculated taking into account the probability of selection. The estimate is based on two types of a posteriori stratification, depending on whether the interviewees are employed or unemployed.
To estimate the number of unemployed, a posteriori stratification is carried out by sex, age group and employment status according to the Register of Unemployment.
To estimate the number of persons in employment, and those temporarily absent from work, a posteriori stratification of the sample and population is carried out by sex, age group and branch of activity. 147 strata are obtained this way.
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SI - Slovenia
Producer
Statistical Office of the Republic of Slovenia
Universe
Persons living in private households and foreign nationals are included, if they correspond to the criteria of household.
Source Of Sampling Frame
Central Population Register
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Addresses
Stratification Criteria
Strata are defined by region and type of settlement, definded
according to the settlement size and porportion of farmers. Stratum allocation is proportional to the population distribution, adjusted by previous non-response rates by stratum.
Number Of Rotational Groups
5; 3-(1)-2
Date of Data Collection
Continuous survey
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
57.53 %
Design Weight: Target
Address
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The individual records are weighted for unequal probability of selection, non-response and stratified a posteriori according to regions, age groups, sex and wave. Annual weights are computed as the arithmetic mean of quarterly weights.
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SK - Slovakia
Corresponding National Study
pracovných síl
Producer
Statistical Office of the Slovac Republic
Universe
Every person aged 15+, living in the household of the selected dwelling without regard to permanent, temporary or unregistered stays.
Source Of Sampling Frame
Register of municipalities, Population Census 1991
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Dwellings
Stratification Criteria
Each strata corresponds to a district corresponding to the NUTS 4 level.
Number Of Rotational Groups
5
Date of Data Collection
Continuous survey
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
54.28 %
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Data from the survey are weighted with a posteriori stratification using demographic data on poplation according to 8 regions, sex and age groups.
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IS - Iceland
Producer
Statistics Iceland
Date of Data Collection
One week per quarter
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
0.91 %
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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, NI: Rating and Valuation List
Sampling Design
Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Addresses
Secondary Sampling Units
Not used
Stratification Criteria
Most of Great Britain constitutes one stratum, while the far north
of Scotland forms a separate stratum and Northern Ireland three strata (Belfast and eastern and western Northern Ireland).
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
Continuous survey
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
33.05 %
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 or Unitary Authority. 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 and age group. 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 group.
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
The resident population is that recorded in the Population Registers of Italian communes.
Source Of Sampling Frame
Communal 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 communes.
Number Of Rotational Groups
6; 2-2-2
Date of Data Collection
One week per quarter
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
33.96 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Data are stratified a posteriori by sex and age group. The results are then adjusted to take account of independent demographic estimates and the weightings are calculated taking into account the probability of selection.
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PL - Poland
Producer
Central Statistical Office of Poland
Universe
All persons 15+ and over with usual residence in Poland.
Source Of Sampling Frame
Domestic Territorial Division Register
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
Primary sampling units are stratified by urban/rural division of
voivodships (provinces), as well as division within voivodships depending on the size of the place, with rural areas included among he smallest ones.
Number Of Rotational Groups
4; 2-(2)-2
Date of Data Collection
Continuous survey
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
41.58 %
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
The weighted response rates for each sampling unit are caluclated stratified a posteriori by six categories of place of residence. The initial weights are adjusted by the response rates. The final step consists of modifying the adjusted weights by the population estimates stratified a posteriori by the urban-rural division, sex and age groups.
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PT - Portugal
Producer
Statistics Portugal
Universe
Individuals residing in a private dwelling during the reference week.
Source Of Sampling Frame
1991 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
Continuous survey
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
46.71 %
Design Weight: Target
Dwelling
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
A posteriori stratification is carried out by sex and age group. After adjustment for the different probability of sampling between the regions, the results are extrapolated to the total population.
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CH - Switzerland
Corresponding National Study
SLFS – Swiss Labour Force Survey /
SAKE – Schweizerische Arbeitskräfteerhebung
Producer
Federal Statistical Office FSO
Sampling Design
Probability
- stratified
- multi-stage
Date of Data Collection
Spring results
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
1.01 %
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ES - Spain
Corresponding National Study
Economically active population survey
Producer
Spanish Statistical Office
Universe
The population residing in private households is covered, including servants; persons living in collective households and persons who are temporarily absent are sampled via the parents living in private households.
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census sections
Secondary Sampling Units
Dwellings
Stratification Criteria
Stratification is carried out in each primary unit, taking into account the province and the degree of urbanisation of the municipality. The strata thus obtained are subdivided into six sub-strata using information on the predominant socio-economic status of the population in the section.
Sampling Method
Sampling Design: Systematic regarding Primary Sampling Units, Random regarding Secondary Sampling Units
Number Of Rotational Groups
6
Date of Data Collection
Continuous survey
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
58.07 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
Every quarter, population projections by age group and Spanish provinces (NUTS 3) are calculated. Projections by age and region are distributed by stratum in proportion to the population of each stratum. In each stratum, age group and region, the weighting is determined by the ratio of the projection to the sample size.
Coverage Adjustment Weight: Method
The sample is calibrated in order to adjust to the population disribution. The auxiliary information used is the population by sex, age, nationality and NUTS 2. A linear weighting method is used, in which each member of the household has the same weight.
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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 all addresses drawn up by the postal services in combination with the Population Register.
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Addresses
Stratification Criteria
66 strata are defined using cross-classification based on 40
'Corop' regions and 18 employment-exchange regions.
Number Of Rotational Groups
2
Date of Data Collection
Continuous survey
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
46.52 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
A posteriori stratification in two stages is applied, using independent demographic information. A linear weighting method in which each member of the household has the same weight is used. For a posteriori stratification are used: a detailed breakdown by age, sex, ethnic background, martial status and region.
Coverage Adjustment Weight: Method
Weights are benchmarked to the population totals without the institutional population.
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EE - Estonia
Corresponding National Study
Estonian Labour Force Survey
Producer
Statistics Estonia
Universe
The target population comprises all persons aged 15-74 years with permanent residence in Estonia living in both private and collective households.
Source Of Sampling Frame
2000 Population and Housing Census
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Households
Secondary Sampling Units
Individuals
Stratification Criteria
The 15 counties of Estonia and Tallinn are divided into four strata according to the population size and different inclusion probabilities are used in strata.
Number Of Rotational Groups
4; 2-(2)-2
Date of Data Collection
Continuous survey
Participation Mandatory
No
Type Of Data Source
Survey
Percentage Of Proxy Interviews
16.13 %
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
For non-response adjustment the non-response correction factors are computed. The weighting groups of reasonably uniform size of sampled households are formed on the basis of the place of residence of the household according to the non-response rate in the region.
Coverage Adjustment Weight: Method
The weights are calibrated so that they produce exact population numbers in certain subgroups known from demographic data (including institutional population). The subgroups by sex, age and the place of residence are considered. For this purpose, the Raking-Ratio method is applied. The calibration is based on the distribution of the Estonian population by sex, age and county as of 1st January of the survey year.
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EL - Greece
Producer
Hellenic Statistical Authority (EL.STAT)
Source Of Sampling Frame
Census
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
Stratification is carried out by administrative region and degree of urbanisation. Thus, each NUTS 2 region constitutes the first stratification level. Within each NUTS 2 region, communes and municipalities are stratified according to the Department (NUTS 3 region) to which they belong and the population of the main town. Saolnika and Athens are divided into 10 and 40 contiguous, well-defined sub-strata respectively.
Number Of Rotational Groups
6
Date of Data Collection
Continuous survey
Participation Mandatory
Yes
Type Of Data Source
Survey
Percentage Of Proxy Interviews
45.22%
Design Weight: Target
Household
Design Weight: Method
Inverse of selection probability
Non-response Weight: Method
No stratification is carried out a posteriori.