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Study: EU-LFS 2005

Titles

Title European Union Labour Force Survey 2005

Abstract

EU-LFS 2005 contains the Module on Reconciliation between work and family life.

According to the policy needs and taking into account the constraint of 11 variables for the module, the aims and the structure of the module are the following. The first aim is to establish how far persons participate in the labour force as they would wish, and where they are unable to do so, whether the reasons are connected with a lack of suitable care services for children and dependant persons. The second aim is to analyse the degree of flexibility offered at work in terms of reconciliation with family life. The third aim is to estimate how far leave of absence is taken (as specified in Council Directive 96/34/EC of 3.6.1996, OJ L145) .

The target group consisted of all persons aged between 15 and 64 (16-64 for ES, UK and NO).

Coverage

Geographical Coverage

"The EU-LFS in 2005 covers the then 25 Member States of the Union. In addition the survey covers member states of the EEA, Iceland and Norway, Switzerland by bilateral agreement, as well as the Candidate Candidate Countries, Bulgaria, Croatia, Romania and Turkey." (Eurostat (2007): Quality report of the European Union Labour Force Survey 2005, p. 3). Turkey and Malta are not included in the micro-data.

Time Period Covered

"The EU-LFS 2005 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. In all countries but Hungary (3 weeks/month), Bulgaria, Croatia and Turkey the sample is spread over the 13 weeks of the quarter." (Eurostat (2007): Quality report of the European Union Labour Force Survey 2005, p. 5.)

Notes

-

References

Country Specific Information: EU-LFS 2005

  • 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 21 919

    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

    3

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    39.93 %

    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 2005
    EU-LFS QuestionnaiMain characteristics of National Surveys in 2005,
    EU-LFS Questionnaire Latvia,
    EU-LFS Data 2005 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)re Latvia
    EU-LFS Data 2005 (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 90 024

    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 strata result from the crossing of the canton and the
    household size class. There are 13 cantons in Luxembourg. The household size is divided into four classes. So, the product of the number of cantons (13) and the number of size classes (4) gives 52 strata.

    Panel Design

    Number Of Rotational Groups

    2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    51.51 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Coverage Adjustment Weight: Method

    A calibration is performed with CALMAR macro of INSEE-France for correcting the non-response at the household level. Among many variables like region, household class size, age of reference person and citizenship of reference person, it should be found out, by logistic regression, by how much they account for the non-response phenomen. The variables canton, size of household, and age of the reference person are selected. Three regions are determined by grouping some cantons. The final adjustment consists of making the most recent distribution of sex * age class * citizenship in the population agree with the distribution of the same variables in the set of respondents. This calibration is implemented at the person level.

    Notes

    -

    References

    Main characteristics of National Surveys in 2005,
    EU-LFS Questionnaire Luxembourg,
    EU-LFS Data 2005 (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 47 947

    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

    43.04 %

    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 2005,
    EU-LFS Questionnaire Lithuania,
    EU-LFS Data 2005 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)

  • HR - Croatia

    National Reference

    Corresponding National Study

    Labour Force Survey

    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 36 841

    Available Data

    • Yearly Data
    • Quarterly Data (Q2)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    2001 Population Census

    Sampling Design

    • Probability
    • random
    • 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

    0 (no sample unit is carried over from previous years)

    Units

    • Individual
    • Household
    • Administrative unit

    Data Collection

    Start Date

    -

    End Date

    -

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    37.20% %

    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

    -

    References

    Eurostat: Main characteristics of National Surveys in 2005,
    EU-LFS Questionnaire Croatia,
    EU-LFS Data 2005 (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 269 408

    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

    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

    27.31 %

    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 2005,
    EU-LFS Questionnaire Romania,
    EU-LFS Data 2005 (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 85 331

    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

    13.76 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The initial weights are adjusted by post-stratification according to sex, age groups and employment status, altogether 96 post-strata. The variables used for post-stratification are based on information from the Central Population Register, the Register of Employees and the Tax Register.

    Coverage Adjustment Weight: Method

    The post-stratification adjusted weights are calibrated within each of the 19 counties (NUTS-3 level), with respect to the marginal totals of the same auxiliary variables. The expansion factors are calculated according to the population totals aged 16-74.

    Notes

    -

    References

    Main characteristics of National Surveys in 2005,
    EU-LFS Questionnaire Norway,
    EU-LFS Data 2005 (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 312 190

    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

    42.65 %

    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 2005,
    EU-LFS Questionnaire Hungary,
    EU-LFS Data 2005 (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 140 035

    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
    • 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.

    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

    39.84 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    Data obtained by the survey are post-stratified by 28 districts, urban/rural areas, sex and four age groups. All persons in each of these 488 strata have the same weight.

    Coverage Adjustment Weight: Method

    The weight is 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 2005,
    EU-LFS Questionnaire Bulgaria,
    EU-LFS Data 2005 (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 342 107

    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 1999

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    Stratification is crossing the two criteria French region (NUTS 2)
    and type of urban unit.

    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

    30.68 %

    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.

    Coverage Adjustment Weight: Method

    An adjustment is made with the population pyramid by age groups and gender for each independent sub-sample.

    Notes

    -

    References

    Main characteristics of National Surveys in 2005,
    EU-LFS Questionnaire France,
    EU-LFS Data 2005 (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 75.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 109 125

    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

    Primary Sampling Units

    Area units

    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

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    22.52 %

    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 2005,
    EU-LFS Questionnaire Belgium,
    EU-LFS Data 2005 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 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 477 171

    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
    • 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

    26.57 %

    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 2005,
    EU-LFS Questionnaire Germany,
    EU-LFS Data 2005 (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 59 792

    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

    3; 2-(2)-1

    Units

    • Individual

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Register,Survey

    Percentage Of Proxy Interviews

    2.61 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The three strata are weighted separately. For Stratum 1) the register-based information age, education and gross income is used to derive initial non-response weights. For Stratum 2) age, gross income and group of industry is used.

    After this step weighting is performed by using a combination of sex and mainly 5 years age groups for the 3 sampling strata separately, based on the Population Register.

    Notes

    -

    References

    Main characteristics of National Surveys in 2005,
    EU-LFS Questionnaire Denmark,
    EU-LFS Data 2005 (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 39 500

    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

    24.35 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The strata are constructed by gender, age and region, totalling 252 cells.

    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. The register indicator is further divided into three categories according to the length of being unemployed in the register.

    Notes

    -

    References

    Main characteristics of National Surveys in 2005,
    EU-LFS Questionnaire Finland,
    EU-LFS Data 2005 (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 91 174

    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 2002

    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,
    population density and urban/rural classification.

    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

    40.50 %

    Weighting

    Design Weight: Target

    Household

    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 (NUTS 3).

    Notes

    -

    References

    Main characteristics of National Surveys in 2005,
    EU-LFS Questionnaire Ireland,
    EU-LFS Data 2005 (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 205058

    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

    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

    28.08 %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    For each record a basic weight which depends on the stratum is calculated.

    Coverage Adjustment Weight: Method

    The weights are adjusted in such a manner that the resulting
    distribution is in accordance to the population within the federal provinces (Bundesländer). These figures correspond to the population with main residence at the beginning of each quarter minus persons in institutional households calculated by age-, sex- and nationality specific rates based on Census results 2001. The variables which are used for adjusting the data for each Bundesland are age and sex on the one side and nationality on the other side and furthermore household size.

    Notes

    -

    References

    Eurostat: Characteristics of National Surveys in 2005.
    EU-LFS Questionnaire Austria.
    EU-LFS Data 2005 (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 249 737

    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

    46.3 %

    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 2006 were forecasted from the definitive demographic data for end-of-year 2005, taken into account migration and natural increase of population.

    Notes

    -

    References

    Main characteristics of National Surveys in 2005,
    EU-LFS Questionnaire Czech Republic,
    EU-LFS Data 2005 (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 39 514

    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

    29.73 %

    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 2005,
    EU-LFS Questionnaire Cyprus,
    EU-LFS Data 2005 (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 148 124

    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

    Statistics Sweden's Register of the Total Population

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Not used

    Stratification Criteria

    The sample is stratified according to county, sex, and age group. In this way 144 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

    2.68 %

    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 2005,
    EU-LFS Questionnaire Sweden,
    EU-LFS Data 2005 (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 71 406

    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

    57.14 %

    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 2005,
    EU-LFS Questionnaire Slovenia,
    EU-LFS Data 2005 (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 116 250

    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 2001

    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

    60.24 %

    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 2005,
    EU-LFS Questionnaire Slovakia,
    EU-LFS Data 2005 (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 12 424

    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

    0.85 %

    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 2005,
    EU-LFS Questionnaire Iceland,
    EU-LFS Data 2005 (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 123 141

    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

    34.13 %

    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 2005,
    EU-LFS Questionnaire United Kingdom,
    EU-LFS Data 2005 (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 704 372

    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 the municipalities in each NUTS 3 province is based on the population of the communes.

    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

    39.86 %

    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 ratio for each strata.

    Coverage Adjustment Weight: Method

    The correction factor that assures the sample replies the same structure as the population is determined with regard to the distribution by sex and age groups at NUTS 2 area and by sex and age groups of different width at NUTS 3 area.

    Notes

    -

    References

    Main characteristics of National Surveys in 2005,
    EU-LFS Questionnaire Italy,
    EU-LFS Data 2005 (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 225 325

    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

    40.73 %

    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 2005,
    EU-LFS Questionnaire Poland,
    EU-LFS Data 2005 (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 190 128

    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

    44.45 %

    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 2005,
    EU-LFS Questionnaire Portugal,
    EU-LFS Data 2005 (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 51 791

    Available Data

    • Yearly Data
    • Quarterly Data (Q2)
    • Ad-hoc Module Data

    Sampling Procedure

    Source Of Sampling Frame

    Telephone directory, Register of foreigners

    Sampling Design

    • Probability
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Households

    Stratification Criteria

    The standard sample is stratified by canton and the number of persons (population) by canton. The extra sample of foreign persons is stratified by region, nationality groups and the number of persons in these categories.

    Panel Design

    Number Of Rotational Groups

    5

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Spring results

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    0.75 %

    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 2), 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 2005,
    EU-LFS Questionnaire Switzerland,
    EU-LFS Data 2005 (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 314 576

    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

    41.77 %

    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 2005
    EU-LFS Questionnaire GreecMain characteristics of National Surveys in 2005,
    EU-LFS Questionnaire Greece,
    EU-LFS Data 2005 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)e
    EU-LFS Data 2005 (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 610 851

    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, updated with Population registers

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Households

    Stratification Criteria

    Geographical areas (PSUs) are stratified within each province, using the population size of the municipality. Within each stratum, the areas are sub-stratified according to the socio-economic characteristics of the population.

    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

    52.40 %

    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

    Sampling Design: Systematic regarding Primary Sampling Units, Random regarding Secondary Sampling Units

    References

    Main characteristics of National Surveys in 2005,
    EU-LFS Questionnaire Spain,
    EU-LFS Data 2005 (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 469 514

    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

    46.47 %

    Weighting

    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.

    Notes

    -

    References

    Main characteristics of National Surveys in 2005,
    EU-LFS Questionnaire Netherlands,
    EU-LFS Data 2005 (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 17 904

    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
    • stratified
    • 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

    17.76 %

    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 2005,
    EU-LFS Questionnaire Estonia,
    EU-LFS Data 2005 (2013 release),
    EU-LFS 1983-2012: Overview of available datasets (2013 release)