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Study: EU-LFS 2012

Titles

Title European Union Labour Force Survey 2012

Abstract

EU-LFS 2012 contains the Module on Transition from work into retirement. It aimed in particular at establishing firstly how the transition at the end of the career towards full retirement takes place or is expected to take place, and secondly at analysing the factors determining the exit from work and the factors that could make people postpone the exit from work.

Target population: everybody aged 50 to 69, currently working or having worked after the age of 50.

Coverage

Geographical Coverage

The EU-LFS 2012 covers “the 28 Member States of the European Union, three EFTA countries (Iceland [...], Norway and Switzerland), and two candidate countries, i.e. the former Yugoslav Republic of Macedonia and Turkey [(not included in the micro-data)]. All the territories of participating countries are covered, except for Cyprus which only covers the areas under the control of the government of the Republic of Cyprus, and except for the French overseas departments (DOM).“ (Eurostat (2014): Quality report of the European Union Labour Force Survey 2012, p. 5.)

Time Period Covered

The EU-LFS 2012 "is designed as a continuous quarterly survey with interviews spread uniformly over all weeks of a quarter. Each reference week starts on Monday and ends on Sunday. The first week of a year or quarter is defined as the week that includes the first Thursday of the year or the quarter.
All countries conduct the LFS as a continuous survey, except Turkey."
(Eurostat (2014): Quality report of the European Union Labour Force Survey 2012, pp. 5-6.)

Notes

-

References

Country Specific Information: EU-LFS 2012

  • LV - Latvia

    National Reference

    Producer

    Central Statistical Bureau of Latvia

    Universe

    All persons aged 15 to 74 years who are permanently resident in Latvia.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 34 887

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    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).

    Panel Design

    Number Of Rotational Groups

    4; 2-(2)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    33.25 %

    Weighting

    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.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Latvia,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • LU - Luxembourg

    National Reference

    Corresponding National Study

    Erhebung über Arbeitskräfte

    Producer

    infas Institute for Applied Social Sciences

    Universe

    Persons registered as residing in one of the Luxembourgian communes.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 23 219

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Set of all telephone numbers

    Sampling Design

    • Probability
    • random
    • not stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Stratification Criteria

    No stratification is carried out.

    Sampling Method

    Households to be contacted are selected by random digit dialing.

    Panel Design

    Number Of Rotational Groups

    0

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    43.35 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    Poplation estimates on 1 January are used for weighting the results. Data from the survey are weighted ex post by sex, age classes and nationalty. All persons of these 288 have the same weight, calculated by dividing the population in each stratum by the number of interviewed persons in the same stratum.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Luxembourg,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • LT - Lithuania

    National Reference

    Producer

    Statistics Lithuania

    Universe

    All persons usually living in the households of the selected dwellings, including those who are temporarily abroad for a period of less than a year.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 62 838

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Population Register

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Stratification is carried out by size categories of municipalities
    within NUTS 3 region.

    Panel Design

    Number Of Rotational Groups

    4, 2-(2)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    31.98 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The initial household design weights are calculated, taking into account the unequal selection probabilities of the households.

    Coverage Adjustment Weight: Method

    These are then adjusted by the use of auxiliary information relating to population data on 60 municipalities and the intersection of 13 age-groups, sex and urban/rural.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Lithuania,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • HR - Croatia

    National Reference

    Producer

    Republic of Croatia; Central Bureau of Statistics

    Universe

    The target population comprises all persons living in private households who usually reside in Croatia or intend to stay in Croatia for at least 12 months.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 37 276

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    2001 Population Census

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The sample is divided into 21 strata using proportional
    allocation. The strata are 20 counties and City of Zagreb area.

    Panel Design

    Number Of Rotational Groups

    4; 2-(2)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    43.56 %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The non-response weights are calculated using the weighting classes method. There are 57 weighting classes. In Croatia, municipalities are officially divided into two goups, according to the level of urbanisation. Weighting classes are 17 city quarters in City of Zagreb, and, in each of 20 counties, two groups of two types of municipalities.

    Notes

    Sampling design: Random regarding the Primary Sampling Units, Systematic regarding Secondary Sampling Units.

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Croatia,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • RO - Romania

    National Reference

    Producer

    National Instititue of Statistics Romania

    Universe

    Persons resident in Romania.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 233 342

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Census 2002

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    Stratification criteria are the residence area (urban/rural) and county (NUTS 3 level), there are 88 strata in all.

    Panel Design

    Number Of Rotational Groups

    4; 2-(2)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    26.53 %

    Weighting

    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) and urban/rural residency.

    Coverage Adjustment Weight: Method

    The weights are calibrated to the best latest available population totals by region/urban-rural residency, gender, age groupds and the household totals by region, using the SAS macro Calmar. The totals known at population level from current demographic statistics are based on the 2002 Population Census.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Romania,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • NO - Norway

    National Reference

    Producer

    Statistics Norway

    Universe

    The resident population is the de jure one based on the Central Population Register.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 19 254

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Central Population Register

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Stratification Criteria

    The sampling frame is stratified according to county (NUTS 3
    regions).

    Panel Design

    Number Of Rotational Groups

    8

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Register,Survey

    Percentage Of Proxy Interviews

    14.00 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The estimation is done by a post-stratification method using information from the Central Population Register, the Register of Employees and the Tax Register. The expansion factors are calculated according to the population totals aged 15-74.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Norway,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • HU - Hungary

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 274 633

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    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.

    Panel Design

    Number Of Rotational Groups

    6

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    43.77 %

    Weighting

    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.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Hungary,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • BG - Bulgaria

    National Reference

    Universe

    The resident population includes all persons usually residing in Bulgaria, including persons temporarily abroad (less than one year).

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 30 924

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    2011 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 type of place of residence (three groups: district centre, other town and village).

    Panel Design

    Number Of Rotational Groups

    4; 2-(2)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    30.58 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The initial weights are multiplied by correction factor for households' non-response which is calculated as ratio between the total number of selected households in a stratum and the number of interviewed households from the same stratum.

    Coverage Adjustment Weight: Method

    The intermediate weights are calibrated to the population estimates by the following variables: at national level by age group, sex and type of place of residence; at districts level by sex and type of place of residence. For calculation of weights the latest available population estimates are used.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Bulgaria,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • FR - France

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 515 408

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Tax registers

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwelling clusters

    Stratification Criteria

    Stratification is carried out by the degree of urbanization (NUTS2).

    Panel Design

    Number Of Rotational Groups

    6

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    29.54 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    A correction for non-response is made, using several criteria: size of urban unit, number of rooms in the housing, type of housing, number of new dwellings and region, income of the households, age of the inhabitants, social housing or not, rented accommodation or property. Another correction for non-response is made using the answers to the non-response survey: the employment and unemployment rates are adjusted to the ones obtained when including the non-response survey.

    Coverage Adjustment Weight: Method

    An adjustment to the population estimates (at the middle of the quarter) by age groups and gender, at NUTS 2 level, is made for each independent sub-sample. An adjustment is also made on the number of dwellings and the number of newly-built dwellings.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Quality Report 2012,
    EU-LFS Questionnaire France,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • BE - Belgium

    National Reference

    Corresponding National Study

    Continuous Labour Force Survey /
    Ständige Erhebung über Arbeitskräfte

    Producer

    Directorate-general Statistics and Economic Information

    Universe

    Private households, where at least one person is younger than 77

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 96 519

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    National Register of Persons

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Secondary Sampling Units

    Households

    Stratification Criteria

    The entire national territory is divided into provinces (NUTS 2) forming 12 strata. The allocation is proportional to the square root of the number of households in each province. This increases the sampling rate of the least-populated strata.

    Panel Design

    Number Of Rotational Groups

    0

    Units

    • Individual
    • Household
    • Organisation

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    19.6 %

    Weighting

    Design Weight: Target

    Person

    Non-response Weight: Method

    Adjustments for non-response are done using a posteriori
    stratification by province (NUTS 2), sex and age.

    Coverage Adjustment Weight: Method

    In each of the post-strata thus obtained, a weight is calculated whose numerator is the population at the middle of the quarter according to the National Register of Persons and whose denominator is the number of usable responses.

    Notes

    -

    References

    Main characteristics of National Surveys in 2013
    EU-LFS Questionnaire Belgium
    EU-LFS Data 2013 (2014 release)

  • DE - Germany

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 482 114

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    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 sampling districts are stratified by region and size of the
    buildings. The stratification by size of the buildings is based on the size classes used to work out the sampling units. The sampling rate is the same in each stratum. Within each stratum, an effect similar to stratification is obtained by systematic sampling in a list classified by geographical entity.

    Panel Design

    Number Of Rotational Groups

    4

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    25.99 %

    Weighting

    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.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Quality Report 2012,
    EU-LFS Questionnaire Germany,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • DK - Denmark

    National Reference

    Universe

    Persons with domicile in Denmark according to the Central Population Register living in either private or collective households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 144 310

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data
    • Special Data

    Sampling Procedure

    Source Of Sampling Frame

    Central Population Register and the Unemployment Register (further enhanced with information from the labour market register and the income register).

    Sampling Design

    • Probability
    • systematic
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Stratification variables include register status of individuals in
    employment/unemployment registers.

    Panel Design

    Number Of Rotational Groups

    4; 2-(2)-2

    Units

    • Individual

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Register,Survey

    Percentage Of Proxy Interviews

    5.81 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The strata are weighted separately. Weighting is performed by using a combination of sex, age group, socio-economic status, income, nationality, level of education, status in the unemployment register, region, and whether the dwelling place was recently changed or not.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Denmark,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • FI - Finland

    National Reference

    Corresponding National Study

    Finnish Labour Force Survey

    Producer

    Statistics Finland

    Universe

    People aged 15 to 74 who are registered as permanently resident in Finland, including those who are temporarily abroad for a period of less than a year, members of the armed forces, and the institutional population. It also includes foreign nationals who have been living in Finland for at least a year.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 54 991

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data
    • Special Data

    Sampling Procedure

    Source Of Sampling Frame

    Total population database, based on the Population Information System of the Population Register Centre

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-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.

    Panel Design

    Number Of Rotational Groups

    5; 3-(1)-2

    Units

    • Individual

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Register,Survey

    Percentage Of Proxy Interviews

    52.51 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The 252 post-strata are constructed by sex, age group and region.

    Coverage Adjustment Weight: Method

    The post-stratified weights are calibrated according to gender, age group, region, reference week and status in Ministry of Labour's job-seeker register.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Finland,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • IE - Ireland

    National Reference

    Corresponding National Study

    Quarterly National Household Survey

    Producer

    Central Statistics Office Ireland

    Universe

    Persons who usually reside on Irish territory living in private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 234 162

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Census of Population 2006 (Q1 to Q3 2012) and Census of Population 2011 (Q4)

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Dwelling blocks

    Secondary Sampling Units

    Households

    Stratification Criteria

    The sample is stratified using administrative county and
    population density. In the first stage 1,300 blocks are selected using Probability Proportional to Size sampling. In the second stage of sampling, each block is split into rotation groups each containing 20 households.

    Panel Design

    Number Of Rotational Groups

    5

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    47.23 %

    Weighting

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The survey results are weighted to agree with population estimates broken down by age, sex and region.

    Coverage Adjustment Weight: Method

    Results are calibrated to broad national totals by broad age groups and gender.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Ireland,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • AT - Austria

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 180 941

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Register of Residents

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Dwellings

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Each 'Bundesland' forms a stratum.

    Panel Design

    Number Of Rotational Groups

    5

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    25.01 %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of selection probability

    Coverage Adjustment Weight: Method

    For estimation of the results weights are calculated using the population counts of the Register of Residents and the household forecasts of Statistics Austria. The weights are calculated using the following criteria: Bundesland (NUTS 2), age groups, nationality, size of households and gender. The calibration procedure is carried out with iterative proportional fitting. Finally each member of the household gets the same weight.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Austria,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • CZ - Czech Republic

    National Reference

    Producer

    Czech Statistical Office

    Universe

    Persons living in private households, disregarding the type of their stay (permanent, temporary or non-registered).

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 44 531

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    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).

    Panel Design

    Number Of Rotational Groups

    5

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    40.91 %

    Weighting

    Design Weight: Target

    Dwelling

    Non-response Weight: Method

    The weights are based on post-stratification to 12 age groups,
    sex and the 77 districts. Demographic figures for each quarter of 2012 were forecasted from the definitive demographic data for end-of-year 2011, taken into account migration and natural increase of population.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Czech Republic,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • CY - Cyprus

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 43 306

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    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.

    Panel Design

    Number Of Rotational Groups

    6

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    32.2 %

    Weighting

    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.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Cyprus,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • SE - Sweden

    National Reference

    Corresponding National Study

    Arbetskraftsundersökningen

    Producer

    Statistics Sweden

    Universe

    Persons between 15 and 74 who are domiciled in Sweden according to the population register.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 248 236

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data
    • Special Data

    Sampling Procedure

    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 supplementary sample is stratified according to region, sex,
    country of birth, age group and information from Statistics Sweden's Income and Taxation register combined with information from Statistics Sweden's Longitudinal integration database for health insurance and labour market studies. In this way 105 strata are constructed.

    Panel Design

    Number Of Rotational Groups

    8

    Units

    • Individual

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Register,Survey

    Percentage Of Proxy Interviews

    2.67 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The estimates build on regression estimators (GREG) with a set of auxiliary information. The auxiliary variables are sex*age, region (NUTS 3), nationality at birth, information on employed persons by industry and persons who have enrolled at a job-centre as unemployed and are looking for work. The registers which are used to obtain the auxiliary variables are the Register of Total Population, the Employment Register and the National Labour Markets Board's Register of job-seekers.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Sweden,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • SI - Slovenia

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 58 415

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Central Population Register

    Sampling Design

    • Probability
    • systematic
    • stratified
    • one stage

    Primary Sampling Units

    Addresses

    Stratification Criteria

    Strata are defined by NUTS 3 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.

    Panel Design

    Number Of Rotational Groups

    5; 3-(1)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    53.43 %

    Weighting

    Design Weight: Target

    Address

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The data are weighted for unequal probability of selection and for non-response and post-stratified according to the known population distribution: age, sex and region (NUTS 3 level). The post-stratification is done on a household level, with members of the same household thus receiving identical weights, and benchmarked to population totals. Institutional population is included in population totals.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Slovenia,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • SK - Slovakia

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 101 469

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Census of Population 2011

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The strata are formed by 79 districts, which correspond to the
    NUTS 4 level.

    Panel Design

    Number Of Rotational Groups

    5

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    42.33 %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    Data from the survey for all persons participating in the survey were weighted by administrative data on total population by region, sex and age groups. Extrapolation to the population is done at the level of individuals. The population and the sample are the subject of a post-stratification by NUTS 3 administrative region, sex and age groups.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Slovakia,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • IS - Iceland

    National Reference

    Producer

    Statistics Iceland

    Universe

    The resident population comprises persons registered with domicile in Iceland, excluding persons attached to foreign missions and registered persons living abroad for more than six months, but including Icelandic personnel in missions abroad.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 12 681

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    National Population Register

    Sampling Design

    • Probability
    • random
    • not stratified
    • one stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Not used

    Stratification Criteria

    No stratification.

    Panel Design

    Number Of Rotational Groups

    5; 3-(2)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Register,Survey

    Percentage Of Proxy Interviews

    2.41 %

    Weighting

    Design Weight: Target

    Person

    Non-response Weight: Method

    The a posteriori stratification variables are age groups and sex.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Iceland,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • UK - Great Britain

    National Reference

    Producer

    UK Office for National Statistics

    Universe

    Persons living in private households, including persons who are temporarily absent. In Great Britain, an additional sample is drawn to cover persons living in National Health Service/Hospital Trust accomodation.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 86 284

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    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

    Panel Design

    Number Of Rotational Groups

    5

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    32.88 %

    Weighting

    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.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire United Kingdom,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • IT - Italy

    National Reference

    Producer

    Italian National Institute of Statistics

    Universe

    The reference population is the population recorded in the registry offices in the Italian municipalities living in private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 606 972

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    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 primary units is carried out in each NUTS 3
    domain and is based on the population of the municipalities. Large municipalities are always included in the sample, smaller municipalities are grouped in strata, then one municipality in each stratum is selected with probability proportional to the population.

    Panel Design

    Number Of Rotational Groups

    4; 2-(2)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    16.54 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    Correction factors for the households' non-response are worked out as the reciprocal of the response ratios. Intermediate weights corrected for non-response are then computed multiplying initial weights by these correction factors.

    Coverage Adjustment Weight: Method

    Starting from intermediate weights, final grossing weights are obtained solving a minimisation problem under constraints. The function to be minimised is the distance between final and intermediate weights; the constraints regard the estimates of some auxiliary variables that have to be equal to the totals in the reference population derived from external sources. Main constraints are population by gender and age groups at NUTS 2 level and population by gender and age groups of different width at NUTS 3 level. Final weights ensure that all members of a given household have the same weight.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Italy,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • MT - Malta

    National Reference

    Producer

    National Statistics Office

    Universe

    Private households in Malta, including people who are temporarily absent from the usual place of residence.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 24 656

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    2011 Census

    Sampling Design

    • Probability
    • random
    • not stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Stratification Criteria

    No stratification

    Panel Design

    Number Of Rotational Groups

    4, 2-(2)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    49.56 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Coverage Adjustment Weight: Method

    A posteriori stratification at one level is performed by sex, age-group and district. This allows the tabulation of estimates at national and district levels. The totals are benchmarked to Census Population Totals. For weighting procedures, NUTS 4 and age groups are used.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Malta,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • PL - Poland

    National Reference

    Producer

    Central Statistical Office of Poland

    Universe

    All persons 15+ and over with usual residence in Poland.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 418 980

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Census, Register of housing units

    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.

    Panel Design

    Number Of Rotational Groups

    4; 2-(2)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    40.02 %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The weighted response rates are calculated for sampling units stratified a posteriori by six place-of-residence categories. The initial weights are adjusted by the response rates. The adjusted weights are also final for results concerning households.

    Coverage Adjustment Weight: Method

    The final step consists in modifying the adjusted weights using the population estimates stratified a posteriori by the urban-rural division, sex and age groups.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Poland,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • PT - Portugal

    National Reference

    Producer

    Statistics Portugal

    Universe

    Individuals residing in a private dwelling during the reference week.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 159 948

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    2001 Census of Population and Housing, BGRI - Geographic Information Referencing Base

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    Stratification is carried out by region (NUTS3).

    Panel Design

    Number Of Rotational Groups

    6

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    47.55 %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of selection probability

    Coverage Adjustment Weight: Method

    The weight is derived as the product of a design weight (which incorporates design information and non-response) and a factor that calibrates the sample to the independent demographic estimates (using a posteriori stratification method by NUTS 2, sex and age groups; NUTS 3 by age groups; and NUTS 3 by sex).

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Portugal,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • CH - Switzerland

    National Reference

    Corresponding National Study

    SLFS – Swiss Labour Force Survey /
    SAKE – Schweizerische Arbeitskräfteerhebung

    Producer

    Federal Statistical Office FSO

    Universe

    All persons officially residing in Switzerland for the entire year. Swiss citizens, foreign citizens holding a permanent residence permit or a residence permit valid for at least one year, international civil servants, diplomats and their family members all fall into this category.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 74 193

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Telephone directory, Register of foreigners

    Sampling Design

    • Probability
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Stratification Criteria

    The samples are stratified by canton and the number of persons (population) by canton.

    Panel Design

    Number Of Rotational Groups

    4

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    2.9 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The sample is stratified a posteriori by region (NUTS 3), marital status, age groups, sex, nationality groups. This procedure is applied iteratively. The expansion factor is a factor to the total population aged 15+.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Switzerland,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • GR - Greece

    National Reference

    Producer

    Hellenic Statistical Authority (EL.STAT)

    Universe

    The resident population comprises persons who are staying (or intend to stay) at least one year in Greece living in private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 242 672

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Census 2001

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    In each Department (NUTS 3), the stratification of primary units is
    conducted by allocating the Municipalities and Communes
    according to the degree of urbanisation. Except for the two major city agglomerations (Athens and Thessaloniki) the strata produced according to the degree of urbanisation are: urban stratum, semi-urban stratum and rural stratum. Athens and Thessaloniki are divided into several strata on the basis of the lists of city blocks of the municipalities and taking into consideration socio-economic criteria.

    Panel Design

    Number Of Rotational Groups

    6

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    39.68 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Coverage Adjustment Weight: Method

    The survey weights are adjusted every quarter so that the estimated total population coincides with the estimated (from the projection of the 2001 census results) population by region (NUTS 2), age groups and sex (for the members of private households).

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Greece,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • ES - Spain

    National Reference

    Corresponding National Study

    Economically active population survey

    Producer

    Spanish Statistical Office

    Universe

    The population residing in private households for more than one year is covered, including servants; persons living in collective households and persons who are temporarily absent are sampled via relatives living in private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 113 390

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Census 2001, Population registers

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Households

    Panel Design

    Number Of Rotational Groups

    6

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    53.03 %

    Weighting

    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. Auxiliary information used is in the form of population projections by sex and age groups at NUTS 2 level, the nationality of the population aged 16+ at NUTS 2 level and by age and region. A linear weighting method is used, in which each member of the household aged 16+ has the same weight.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Spain,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • NL - Netherlands

    National Reference

    Corresponding National Study

    Enquête Beroepsbevolking

    Producer

    Statistics Netherlands

    Universe

    Persons residing in the Netherlands living in private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 81 733

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    List of all addresses drawn up by the postal services in combination with the Population Register.

    Sampling Design

    • Probability
    • random
    • 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.

    Panel Design

    Number Of Rotational Groups

    5

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    50.49 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    All respondents are assigned an inclusion weight. These inclusion weights are calculated in such a way that unequal inclusion probabilities that occur because of the sampling method are corrected.

    Coverage Adjustment Weight: Method

    Final weights are determined. In this stage biases because of non-residence are reduced. For this, information on gender, age, ethnic background, place of residence and some other regional classifications are used. In addition, administrative sources on the income and registration at unemployment office are used. Also information on the correlation in the panel-overlap between subsequent quarters is used and all waves together are weighted in one step.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Questionnaire Netherlands,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • EE - Estonia

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 24 464

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Population Register

    Sampling Design

    • Probability
    • systematic
    • one stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Not used

    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.

    Panel Design

    Number Of Rotational Groups

    4; 2-(2)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    33.92 %

    Weighting

    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 homogeneous response 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. Within each group the correction factor is inversely proportional to the overall 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). For working-age persons the subgroups by sex, age, place of residence and Estonians/non-Estonians are considered. For this purpose the linear consistent weighting method is applied. For non-working-age persons the non-response adjusted household's weights are calibrated by sex and age.

    Notes

    -

    References

    Main characteristics of National Surveys in 2012,
    EU-LFS Quality Report 2012,
    EU-LFS Questionnaire Estonia,
    EU-LFS Data 2012 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)