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Study: EU-LFS 2014

Titles

Title European Union Labour Force Survey 2014

Abstract

EU-LFS 2014 contains the Module on Labour market situation of migrants and their immediate descendants.

Coverage

Geographical Coverage

The EU-LFS 2014 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. Since 2014, also the French overseas departments are covered (Guadeloupe, Martinique, Guyane, La Réunion), with the exception of Mayotte." (Eurostat (2015): Quality report of the European Union Labour Force Survey 2014, p. 5.)

Time Period Covered

The EU-LFS 2014 "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." (Eurostat (2015): Quality report of the European Union Labour Force Survey 2014, p. 5.)

Notes

-

References

Country Specific Information: EU-LFS 2014

  • LV - Latvia

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    Latvijas Statistika

    Universe

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

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 42685

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    Population Census 2000, Population Register 2009, Demographic Statistics Data Processing System

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Secondary Sampling Units

    Households

    Stratification Criteria

    The strata are defined by degree of urbanisation (Riga, eight other largest cities, 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

    Register,Survey

    Percentage Of Proxy Interviews

    37.8 %

    Weighting

    Design Weight: Target

    Person

    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 strata for each wave.

     

    Coverage Adjustment Weight: Method

    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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • LU - Luxembourg

    National Reference

    Corresponding National Study

    Labour Force Survey/
    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 13831

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    Set of all telephone numbers

    Sampling Design

    • Probability
    • random
    • not stratified
    • one stage

    Primary Sampling Units

    Not used

    Secondary Sampling Units

    Households

    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

    39.4 %

    Weighting

    Weighting: 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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • LT - Lithuania

    National Reference

    Corresponding National Study

    Labour Force Statistical Survey

    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. The population also includes foreign nationals who have been living in Lithuania for at least a year.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 59789

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    Population Register

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Not used

    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

    35.1 %

    Weighting

    Design Weight: Target

    Household

    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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • HR - Croatia

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    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 37406

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    2011 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

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    44.30% %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    As there are 21 counties, multiplying 2 groups (urban and rural) gives 41 groups within counties (as county City of Zagreb is all urban) for defining non-response rates (and calculating response rates in each one). Non-response weights are inverse value of these response rates. They are also equal for each segment. At the end final design weights from both sampling phases are multiplied with non-response adjustment weight in order to get final weights before calibration procedure.

    Weighting: Method

    Distributions of the 5-year age groups, gender, NUTS2 regions and household size) for the subsample of respondents were calibrated to known auxiliary information from Census 2011. It reduced sampling error, effecting the ‘old’ weights, but in limits of previously defined constraints in CALMAR software. Bounded linear method was used for calibration, and lower limit was set on 0.5, and upper on 3.

    Notes

    -

    References

  • RO - Romania

    National Reference

    Corresponding National Study

    Romanian Labour Force Survey

    Producer

    National Instititue of Statistics Romania

    Universe

    Persons resident in Romania

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 225202

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    Census 2002

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census sections

    Secondary Sampling Units

    Dwelling clusters

    Stratification Criteria

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

    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

    24.6 %

    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 2011 Population Census.

    Notes

    -

    References

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • NO - Norway

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    Statistics Norway

    Universe

    The definition of resident population is the de jure one based on the Central PopulationRegister. It covers private and collective households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 19138

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    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

    16.8 %

    Weighting

    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, i.e. the institutional population included.

    Coverage Adjustment Weight: Method

    The post-stratification adjusted weights are calibrated within each of the 19 counties, which is equivalent to the NUTS3 level, with respect to the marginal totals of the same auxiliary variables.

    Notes

    -

    References

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • HU - Hungary

    National Reference

    Corresponding National Study

    Labour Force Survey

    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 255230

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    2001 Population and Housing Census

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration 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 %

    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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • BG - Bulgaria

    National Reference

    Corresponding National Study

    Labour Force Survey

    Universe

    Only private households are included. 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 33846

    Available Data

    • Yearly 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 rotation pattern)

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    30.1 %

    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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • FR - France

    National Reference

    Corresponding National Study

    Questionnaire logement de l’enquête emploi /
    Housing Survey of Employment Survey

    Producer

    National Institute of Statistics and Economic Studies

    Universe

    The survey covers private households living in their main residences in
    in France, except Mayotte. Since the first quarter of 2014, overseas departements (Guadeloupe, Martinique, Guyane, La Réunion) have been covered, with the exception of Mayotte. Mayotte is covered by a specific annual survey.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 530025

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    Tax registers

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    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

    26.5 %

    Weighting

    Design Weight: Target

    Person

    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 (individual house, building…), number of new dwellings and region, income of the households (deciles), age of the inhabitants, social housing or not, rented accommodation or property for Metropolitan France; type of housing, micro-region (infra-NUTS3), being respondent or not during the previous quarter for overseas departments. Another correction for non-response is made using the answers to the “non-response survey” (NRS): the employment and unemployment ratios are adjusted to the ones obtained when including the respondents to the NRS survey within the LFS.

    Coverage Adjustment Weight: Method

    An adjustment to the population estimates (at the middle of the quarter) by five year age groups and gender, at NUTS 2 level, is made (for each of the 6 independent sub-samples in Metropolitan France, for each department regarding overseas). An adjustment is also made on the number of dwellings and the number of newly-built dwellings, and, for overseas departments, on some geographic and socio-demographic characteristics from the sampling frame.

    Notes

    -

    References

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • BE - Belgium

    National Reference

    Corresponding National Study

    Continuous Labour Force Survey /
    Ständige Erhebung über Arbeitskräfte /
    ENQUÊTE CONTINUE SUR LES FORCES DE TRAVAIL /
    DOORLOPENDE ENQUÊTE NAAR DE ARBEIDSKRACHTEN

    Producer

    economie

    Universe

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

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 102316

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    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

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    18.9 %

    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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • DE - Germany

    National Reference

    Corresponding National Study

    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. Foreign armed forces and members of the diplomatic corps and their families are excluded.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 478491

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    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

    26.1 %

    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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • DK - Denmark

    National Reference

    Corresponding National Study

    Labour market status

    Producer

    Statistics Denmark

    Universe

    Persons with domicile in Denmark (excluding Greenland and the Faeroe Islands) according to the Central Population Register.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 142283

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • 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

    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

    Register,Survey

    Percentage Of Proxy Interviews

    3.5 %

    Weighting

    Design Weight: Target

    Person

    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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 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 53158

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)
    • 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
    • one stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Not used

    Stratification Criteria

    The population of individuals is divided into strata, these are formed according to NUTS 1 regions with over-sampling from the Autonomous Territory of the Åland Islands.

    Sampling Method

    Because the continuous survey sample frame only includes persons aged 15 to 74 years, a separate sample of dwelling units was drawn to correct the frame for elderly persons.
    A technical sample of persons aged 75 or more was added to the file of the fifth wave after data collection. This technical sample corrects the sampling frame, which in the continuous LFS is limited to persons aged 15 to 74 years. However, this technical part of the sample is not interviewed. Instead, data are imputed on the assumption that persons aged 75 or more are outside the labour force, together with data available from administrative files.

    Panel Design

    Number Of Rotational Groups

    quarterly rotation pattern of 3-(1)-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

    54.6 %

    Weighting

    Design Weight: Target

    Person

    Non-response Weight: Method

    The 240 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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • IE - Ireland

    National Reference

    Corresponding National Study

    Quarterly National Household Survey

    Producer

    Central Statistics Office Ireland

    Universe

    The population comprises persons who usually reside on Irish
    territory.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 208574

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    Census of Population 2006 (Q1 to Q3 2013) and Census of Population 2012 (Q4)

    Sampling Design

    • Probability
    • systematic
    • 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

    49.3 %

    Weighting

    Weighting: Method

    The expansion factor is to population totals.
    The survey results are weighted to agree with population estimates broken down by age (five-year age groups), sex and region (NUTS 3 regions). Results are then calibrated to broad national totals by broad age groups (0-14 and 15+) and gender.

    Notes

    -

    References

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • AT - Austria

    National Reference

    Corresponding National Study

    Mikrozensus

    Producer

    Statistik Austria

    Universe

    Persons who have their main residence on Austrian territory during the reference week. Only the population in private housholds.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 177254

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    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

    26.1 %

    Weighting

    Design Weight: Target

    Person

    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. In a first step, a basic weight is calculated for each person. This is followed by a calibration procedure with iterative proportional fitting. Finally each member of the household gets the same weight.

    Notes

    -

    References

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • CZ - Czech Republic

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    Czech Statistical Office

    Universe

    All persons usually living in the selected dwellings, disregarding the type of their stay there (permanent, temporary or non-registered)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 42010

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    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

    35.9 %

    Weighting

    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 2014 were forecasted from the definitive demographic data for end-of-year 2013, taken into account migration and natural increase of population.

    Notes

    -

    References

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • CY - Cyprus

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    Federal Statistical Office FSO

    Universe

    All persons living in private households aged 15 years and older. 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 40772

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    Standard Sample, Register of foreigners. From Q2 2014 on, the base used for both subsamples is the SFSO's Sampling Frame for Person and Household Surveys, which contains administrative data provided by cantonal and communal resident's register offices and covers 100% of Switzerland's permanent resident population.

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-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.

    Sampling Method

    Standard sample + extra sample for foreign persons

    Panel Design

    Number Of Rotational Groups

    4

    Units

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    32.00% %

    Weighting

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    Weights are adjusted for non-response, and finally the sample is
    calibrated on age, sex, marital status, canton of residence, nationality, residence permit, and duration of residence using the calibration software CALMAR.

    Notes

    -

    References

  • SE - Sweden

    National Reference

    Corresponding National Study

    Labour Force Survey/
    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 227392

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • 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 first sample (regular LFS) consists of 21 500 individuals per month and is stratified according to county and sex. The second sample (supplementary sample) consists of 8 000 individuals per month and is stratified according to region, sex, country of birth, age group and information from Statistics Sweden's Income and Taxation register (IoT) combined with information from Statistics Sweden's Longitudinal integration database for health insurance and labour market studies (LISA).

    Sampling Method

    Regular LFS sample + supplementary sample

    Panel Design

    Number Of Rotational Groups

    8

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Register,Survey

    Percentage Of Proxy Interviews

    2.6 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    regression-based with external data

    Weighting: 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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • SI - Slovenia

    National Reference

    Corresponding National Study

    Anketa o Delovni Sili

    Producer

    Statistical Office of the Republic of Slovenia

    Universe

    The survey covers the whole country. Only individuals in private households are surveyed.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 62543

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    Central Population Register of the Republic of Slovenia

    Sampling Design

    • Probability
    • systematic
    • stratified
    • one stage

    Primary Sampling Units

    Addresses

    Secondary Sampling Units

    Not used

    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

    54.7 %

    Weighting

    Weighting: 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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • SK - Slovakia

    National Reference

    Corresponding National Study

    Labour Force Survey/
    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 97958

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    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

    48.2 %

    Weighting

    Weighting: 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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • IS - Iceland

    National Reference

    Corresponding National Study

    Labour Force Survey

    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 12153

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    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

    0.3 %

    Weighting

    Weighting: Method

    The a posteriori stratification variables are five-year age groups and sex.

    Notes

    -

    References

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • UK - Great Britain

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    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 86405

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    Postal adresses / telephone numbers (N Scotl) / housing units (N Irel)

    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.
    For 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

    33.7 %

    Weighting

    Non-response Weight: Method

    The adjustment procedure is based on a three-stage a posteriori stratification. In each case, 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 (0-15, each year of age in the 16-24 group and 25 +). This stratification is intended to ensure that the age profile of the 16-24 year olds is correct at national level.
    The variables in the third stage are region, sex and five-year 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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • IT - Italy

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    Italian National Institute of Statistics

    Universe

    The reference population is the resident population, which is the population recorded in the registry offices in the Italian municipalities.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 604580

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    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, with population over a given threshold (also called self-representative municipalities), are always included in the sample; smaller municipalities (non-self-representative) 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

    18.2 %

    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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • MT - Malta

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    National Statistics Office - Malta

    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 25589

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    2011 Census

    Sampling Design

    • Probability
    • 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

    48 %

    Weighting

    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 of persons living in private households only. For weighting procedures, NUTS 4 is used, gender and 5 year age groups.

    Notes

    -

    References

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • PL - Poland

    National Reference

    Corresponding National Study

    Polish Labour Force Survey

    Producer

    Central Statistical Office Warszawa

    Universe

    The target population covers all persons aged 15 years and over with usual residence in Poland. Persons living in institutional households (army, hospital, prison, hostels etc.) are excluded from the survey if their length of stay in these institutions is planned to be longer than one year. The same applies to persons living permanently or temporarily (for more than one year) in other countries.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 364042

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    Census and Register of housing units

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The 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 the 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

    39.1 %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of Selection Probability

    Weighting: Method

    The weights are computed using a four-step procedure. First the initial design weights are calculated for dwelling units, i.e., the reciprocals of the selection probabilities for the final sampling units in each stratum. Secondly, the weighted response rates are calculated for sampling units stratified a posteriori by six place-of-residence categories. Thirdly, the initial weights are adjusted by the response rates. The adjusted weights are also final for results concerning households. The final step consists in modifying the adjusted weights using the population estimates stratified a posteriori by the urban-rural division, sex and 12 age groups plus three age groups for children living in the surveyed households.

    Notes

    -

    References

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • PT - Portugal

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    Statistics Portugal

    Universe

    The resident population consists of individuals living in private dwellings during the reference week.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 167243

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    National Dwellings Register (NDR), based on Census 2011

    Sampling Design

    • Probability
    • systematic
    • stratified
    • one stage

    Primary Sampling Units

    Dwellings

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Stratification is carried out by region (NUTS3).

    Sampling Method

    In the fourth quarter of 2014, all six rotations of the sample will be drawn from the NDR.

    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

    46.8 %

    Weighting

    Design Weight: Target

    Dwelling

    Weighting: 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 five-year age groups; NUTS 3 (or groups of NUTS 3) by six age groups; and NUTS 3 (or groups of NUTS 3) by sex).

    Notes

    -

    References

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • CH - Switzerland

    National Reference

    Corresponding National Study

    SLFS – Swiss Labour Force Survey /
    SAKE – Schweizerische Arbeitskräfteerhebung

    Producer

    Federal Statistical Office FSO

    Universe

    All persons living in private households aged 15 years and older. 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 68924

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    Telephone directory, Register of foreigners. From Q2 2014 on, the base used for both subsamples is the SFSO's Sampling Frame for Person and Household Surveys, which contains administrative data provided by cantonal and communal resident's register offices and covers 100% of Switzerland's permanent resident population.

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-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.

    Sampling Method

    Standard sample + extra sample for foreign persons

    Panel Design

    Number Of Rotational Groups

    4

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    2.7 %

    Weighting

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    Weights are adjusted for non-response, and finally the sample is calibrated on age, sex, marital status, canton of residence, nationality, residence permit, and duration of residence using the calibration software CALMAR.

    Notes

    -

    References

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • GR - Greece

    National Reference

    Corresponding National Study

    Labour Force Survey

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 237701

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    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

    39.2 %

    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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • ES - Spain

    National Reference

    Corresponding National Study

    Economically active population survey

    Producer

    Spanish Statistical Office

    Universe

    The population residing in private households is covered, including servants; persons living in collective households and persons who are temporarily absent are sampled via relatives living in private households. Foreign nationals are included in the resident population if they have lived or intend to live in Spain for more than one year. The household concept used is that of the ‘dwelling household’ (all people living in the
    dwelling are interviewed).

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 111022

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    Census 2011, 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.

    Sampling Method

    Units are selected in such a way as to obtain self-weighted samples within each stratum. The first-stage units are selected with probability proportional to the size and second-stage units are selected with equal probability.

    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

    52.6 %

    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 then calibrated in order to adjust to the population distribution. Auxiliary information used is in the form of population estimates by sex and five-year age groups and household size (5 groups of 1, 2, 3, 4 and 5+ inhabitants) at NUTS 2 level (Comunidades Autónomas), the nationality of the population aged 16 and more (national/non-national) at NUTS 2 level and by sex and 3 aggregated age groups (16-29, 30-49, 50+) and region (NUTS 3 or provinces). A linear weighting method is used, in which each member of the household aged 16 years and over has the same weight.

    Notes

    -

    References

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).

  • NL - Netherlands

    National Reference

    Corresponding National Study

    Labour Force Survey/
    Enquête Beroepsbevolking

    Producer

    Statistics Netherlands

    Universe

    The resident population comprises persons residing in the Netherlands.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 76990

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    Sampling Procedure

    Source Of Sampling Frame

    The survey base is a 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

    49.7 %

    Weighting

    Non-response Weight: Method

    "In the first stage 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. In the second stage final weights are determined. In this stage biases because of nonresponse are reduced. For this, information on gender, age, ethnic background, place of residence and some other regional classifications are used. In addition, administrative 40 Labour Force Survey in the EU, Candidate and EFTA countries, 2014 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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 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, i.e. those who have lived or intend to live in Estonia for more than one year.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 24320

    Available Data

    • Yearly Data
    • Quarterly Data (Q1)
    • Quarterly Data (Q2)
    • Quarterly Data (Q3)
    • Quarterly Data (Q4)

    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

    38.2 %

    Weighting

    Design Weight: Method

    Household

    Non-response Weight: Method

    Inverse of Selection Probability

    Coverage Adjustment 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.

    Weighting: 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

    Eurostat (2015): Main characteristics of National Surveys in 2014.

    _x005F_x000D_/n

    EU-LFS Data 2014 (2016 release).