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Study: EU-LFS 2016

Titles

Title European Union Labour Force Survey 2016

Abstract

EU-LFS 2016 contains the Ad hoc module on young people on the labour market.

Coverage

Geographical Coverage

The EU-LFS 2016 covers all 28 EU Member States as well as Iceland, Norway and Switzerland.

Time Period Covered

The EU-LFS 2016 "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 (2018): Quality report of the European Union Labour Force Survey 2016, p. 7)

Notes

-

References

Country Specific Information: EU-LFS 2016

  • 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. Only private households are surveyed.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4107

    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

    Demographic Statistics Data Processing System

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The strata are defined by degree of urbanization (Riga, cities, towns and rural areas).

    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

    Interview Mode

    • 72.2 % CAPI
    • 27.8 % CATI

    Percentage Of Proxy Interviews

    38.7 %

    Weighting

    Design Weight: Target

    Person

    Weighting: 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 stratum for each wave and each survey technique (CAPI/CATI). These quarterly weights are then adjusted on the basis of demographic data and data of the State employment agency and of the State Revenue Service. Yearly weights are calculated as quarterly weights divided by four.
    For adjustment of the quarterly weights demographic data are broken down by the type of municipality (Riga, cities, towns, rural areas), as in stratification, 14 age groups and sex as well as in NUTS3 (6 regions), 3 age groups, eight cities of Republic, the information from the State employment agency by sex and 5 age groups and the information from the State Revenue Service by sex and 7 age groups.
    All persons within the same household have equal initial and final weights." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 33)

    Notes

    -

    References

  • LU - Luxembourg

    National Reference

    Corresponding National Study

    Labour Force Survey/
    Erhebung über Arbeitskräfte

    Producer

    infas Institute for Applied Social Sciences

    Universe

    The resident population comprises persons registered as residing in one of the municipalities. The sampling frame covers only private households in Luxembourg. The cross-border workers are not taken into account.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 31225

    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

    Population register

    Sampling Design

    • Probability
    • random
    • not stratified
    • one stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Post-Stratification

    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

    Interview Mode

    • 33 % CATI
    • 67 % Websurvey

    Percentage Of Proxy Interviews

    35.5 %

    Weighting

    Design Weight: Target

    Person

    Weighting: Method

    "Data from the survey are post-stratified by sex, age classes, household size and nationality (national/foreigner). All persons of these strata have the same weight, calculated by dividing the population in each stratum by the number of interviewed persons in the same stratum." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 37)

    Notes

    -

    References

  • LT - Lithuania

    National Reference

    Corresponding National Study

    Labour Force Statistical Survey

    Producer

    Statistics Lithuania

    Universe

    Private households are surveyed. 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 56046

    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

    Panel Design

    Number Of Rotational Groups

    4, 2-(2)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Population Register

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Interview Mode

    • 50 % CAPI
    • 49 % CATI
    • 1 % Websurvey

    Percentage Of Proxy Interviews

    36.4 %

    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.

    Weighting: Method

    "The initial household design weights are calculated, taking into account the unequal selection probabilities of the households. 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. All household members have the same sampling weight." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 35)

    Notes

    -

    References

  • HR - Croatia

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    Central Bureau of Statistics

    Universe

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

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 32537

    Available Data

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

    Sampling Procedure

    Source Of Sampling Frame

    2011 Population Census

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The stratification is done by two NUTS2 regions and both of them further divided in urban and rural part, so, 4 strata at the end.

    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

    Interview Mode

    • 65.1 % CAPI
    • 34.4 % CATI
    • 0.5 % PAPI

    Percentage Of Proxy Interviews

    50.5 %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "There are defined weighting groups regarding non-response, and response rates are calculated for each of these groups. The urban part of each 21 county form one group while the rural parts in each county form the second group. As there are 21 counties, multiplying 2 groups (urban and rural) gives 42 groups within counties 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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 27)

    Coverage Adjustment Weight: 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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 27)

    Notes

    -

    References

  • RO - Romania

    National Reference

    Corresponding National Study

    Romanian Labour Force Survey

    Producer

    National Instititue of Statistics Romania

    Universe

    The target population comprises persons resident in Romania. The survey covers private households including the persons absent from home if they are preserving family relations with the household to which they belong.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 231785

    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 2011

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census sections

    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

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    21.4 %

    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. (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 51)

    Coverage Adjustment Weight: Method

    The secondary weights are calibrated to the best latest available population totals by region, urban-rural residency, gender, age groups and the household totals by region, using the SAS macro Calmar. (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 51)

    Notes

    -

    References

  • NO - Norway

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    Statistics Norway

    Universe

    The target population is total population aged 15-74, residing in Norway (according to the Central Population Register). The survey covers private and collective households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 19743

    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

    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

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    18 %

    Weighting

    Weighting: Method

    "The initial weights are adjusted by post-stratification according to age, sex and employment status [...]. Finally, 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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 65)

    Notes

    -

    References

  • HU - Hungary

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    Hungarian Central Statistical Office

    Universe

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

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 234165

    Available Data

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

    Sampling Procedure

    Source Of Sampling Frame

    2011 Population 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

    Interview Mode

    • 74 % CAPI
    • 26 % CATI

    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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 39)

    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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 39)

    Notes

    -

    References

  • 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 35309

    Available Data

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

    Sampling Procedure

    Source Of Sampling Frame

    2011 Population Census

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Households

    Stratification Criteria

    The sample is stratified by district (28 administrative districts at NUTS 3 level), crossed with type of place of residence (three groups: district centre, other town and village).

    Panel Design

    Number Of Rotational Groups

    4 (2-(2)-2 rotation pattern)

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    29.3 %

    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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 9)

    Coverage Adjustment Weight: Method

    "In final step the intermediate weights (corrected for non-response) are calibrated to the population estimates by the following variables: at national level by 5-year age group, sex and type of place of residence (urban/rural); at district level (NUTS3) by 3 age groups (0-14, 15-64, 65+), sex and type of place of residence (urban/rural)." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 9)

    Notes

    -

    References

  • 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 residence in France. The resident population comprises persons living on French metropolitan territory and in the overseas departments.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 533305

    Available Data

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

    Sampling Procedure

    Source Of Sampling Frame

    Tax register for Metropolitan France and annual census survey for DOM.

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The stratification is carried out by 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

    Interview Mode

    • 40 % CAPI
    • 60 % CATI

    Percentage Of Proxy Interviews

    25.1 %

    Weighting

    Non-response Weight: Method

    "Variables used for correction for non-response are derived from the sample base: 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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 25)

    Coverage Adjustment Weight: Method

    "Weighting procedures are different for Metropolitan France and overseas departments. For Metropolitan France, a unique calibration is performed on each wave both to correct biases induced by non-response and to get consistency with external margins. 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. For overseas departments, weights are first adjusted to correct for non-response by using an estimation of response probabilities, and are calibrated in a second step in each department on external margins." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 25)

    Notes

    -

    References

  • 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 98568

    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
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Households

    Stratification Criteria

    The entire national territory is divided into provinces (NUTS 2) forming 12 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

    Interview Mode

    • 87 % CAPI
    • 13 % CATI

    Percentage Of Proxy Interviews

    17.7 %

    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 85-year age groups)."(Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 7)

    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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 7)

    Notes

    -

    References

  • DE - Germany

    National Reference

    Corresponding National Study


    Mikrozensus

    Producer

    Statistische Ämter des Bundes und der Länder

    Universe

    The resident population (statistical population) includes all inhabitants with their main place of residence and their secondary residence in the territory of Germany. Foreign armed forces and members of the diplomatic corps and their families are excluded.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 520622

    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 2011 updated with data from building licenses.

    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.

    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

    Interview Mode

    • 67 % CAPI
    • 3 % CATI
    • 30 % PAPI

    Percentage Of Proxy Interviews

    24 %

    Weighting

    Weighting: Method

    "A two-stage adjustment procedure is used.
    (a) Where possible, data are collected for households which fail to respond. These data can include: number of members of the household, nationality (German/foreigner), and for households comprising only one person: age (under or over 60 years) and sex. From this data, the weights of respondent households are increased to take account of non-responses in the region.
    (b) The sample, weighted to take account of non-response, is stratified a-posteriori by region, sex, age (<15, 15-44, 45+) and nationality (German/EU foreigners/non-EU foreigners except Turkey/Turkish) and is extrapolated to the population (adjusted in respect of military personnel)." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 15)

    Notes

    -

    References

  • DK - Denmark

    National Reference

    Corresponding National Study

    Labour market status

    Producer

    Statistics Denmark

    Universe

    The entire country is covered, apart from Greenland and the Faroe Islands. The survey covers persons living in either private or collective households with domicile in Denmark according to the Central Population Register.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 129254

    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

    Population Register and other registers.

    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

    Interview Mode

    • 50.3 % CATI
    • 49.7 % Websurvey

    Percentage Of Proxy Interviews

    6.4 %

    Weighting

    Coverage Adjustment 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 and region." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 9)

    Notes

    -

    References

  • FI - Finland

    National Reference

    Corresponding National Study

    Finnish Labour Force Survey

    Producer

    Statistics Finland

    Universe

    The target population comprises 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. Persons living in institutions cannot be separated from the total population.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 51180

    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

    Population register

    Sampling Design

    • Probability
    • systematic
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Strata are formed according to NUTS 1 regions with over-sampling from the Autonomous Territory of the Åland Islands. In each stratum systematic random selection is applied to the frame sorted according to the domicile code and personal identity number which yields implicit geographic stratification.

    Panel Design

    Number Of Rotational Groups

    3-(1)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    52.2 %

    Weighting

    Design Weight: Target

    Person

    Non-response Weight: Method

    "The 240 post-strata are constructed by sex, age group and region" (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 57)

    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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 57)

    Notes

    -

    References

  • 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. Only private households are included.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 170246

    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 2011

    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 the Pobal HP (Haase and Pratschke) Deprivation Index.

    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

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    48.7 %

    Weighting

    Weighting: Method

    "The survey results are weighted to agree with population estimates broken down by age (5-years age groups), sex and region (NUTS3 regions). Results are then calibrated to broad national totals by broad age groups (0-14 and 15+) and gender." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 19)

    Notes

    -

    References

  • AT - Austria

    National Reference

    Corresponding National Study

    Mikrozensus

    Producer

    Statistik Austria

    Universe

    Only the population in private households is included. The resident population comprises persons who have their main residence on Austrian territory during the reference week.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 177375

    Available Data

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

    Sampling Procedure

    Source Of Sampling Frame

    Register of Residents

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Dwellings

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Each 'Bundesland' forms a stratum.

    Panel Design

    Number Of Rotational Groups

    5

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    Yes

    Type Of Data Source

    Survey

    Interview Mode

    • 35.8 % CAPI
    • 64.2 % CATI

    Percentage Of Proxy Interviews

    25.6 %

    Weighting

    Design Weight: Target

    Person

    Coverage Adjustment Weight: Method

    "Calibration is performed by iterative proportional fitting." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 45)

    Weighting: Method

    "The weights are calculated in two steps. In the first step for each record a basic weight which depends on the stratum and the domain is calculated.
    In the second step the weights are adjusted so that the resulting distribution is in accordance to the population within the federal provinces (Bundesländer, NUTS2)." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 45)

    Notes

    -

    References

  • CZ - Czech Republic

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    Czech Statistical Office

    Universe

    All persons usually living in the selected dwellings, regardless of the type of their stay there (permanent, temporary or non-registered). Temporarily absent persons (for less than one year) and domestic servants are included. People living abroad are excluded.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 41455

    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

    The strata consist of 77 districts with Prague considered as one 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

    Interview Mode

    • 51 % CAPI
    • 21 % CATI
    • 24 % PAPI

    Percentage Of Proxy Interviews

    34.6 %

    Weighting

    Weighting: Method

    "The weights are based on post-stratification to 12 age groups, sex and the 77 districts. Demographic figures for each quarter of 2016 were forecasted from the definitive demographic data for end-of-year 2015, taken into account migration and natural increase of population." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 11)

    Notes

    -

    References

  • CY - Cyprus

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    Statistical Service of Cyprus, Ministry of Finance

    Universe

    The resident population comprises persons who usually reside in Cyprus or intend to stay in Cyprus for at least 12 months. It excludes Cypriot students studying abroad as well as foreign armed forces and foreigners who work in embassies or diplomatic missions.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 40853

    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 2011

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Households

    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

    Interview Mode

    • 16.7 % CAPI
    • 83.3 % CATI

    Percentage Of Proxy Interviews

    34 %

    Weighting

    Design Weight: Method

    Inverse of Selection Probability

    Weighting: Method

    "The design weights, i.e. the inverse of the probabilities of inclusion of the households the sample are calculated and adjusted for non-response in each stratum. The adjusted weights for non-response are then calibrated." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 31)

    Notes

    -

    References

  • SE - Sweden

    National Reference

    Corresponding National Study

    Labour Force Survey/
    Arbetskraftsundersökningen

    Producer

    Statistics Sweden

    Universe

    The resident population for the purposes of the survey comprises persons between the ages of 15 and 74 who are domiciled in Sweden according to the population register. Persons living in a collective household are also sampled.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 202839

    Available Data

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

    Sampling Procedure

    Source Of Sampling Frame

    Statistics Sweden's Register of the Total Population

    Sampling Design

    • Probability
    • systematic
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Not used

    Stratification Criteria

    The first sample is stratified according to county and sex.
    The second sample 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).

    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

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    3.1 %

    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 (13 age groups), region (NUTS3), 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 (RTB), the Employment Register (RAMS) and the Swedish Public Employment Service´s register of job-seekers (SOK).
    Each month the last wave of the individual LFS-sample is used as the starting point for identifying sampled households, i.e. the household sample is a network sample. The weights are based on the calibration approach for two-phase sampling in Estevao and Särndal (2002). Design weights according to the network sampling design, adjusted for nonresponse at the household level, are used as starting weights in the calibration. Only information at the individual level is used in the calibration." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 59)

    Notes

    -

    References

  • 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.  Members of the household temporarily absent for a period exceeding 12 months and persons living in other countries are excluded from the survey.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 62887

    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 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, defined according to the settlement size and porportion of farmers.

    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

    Interview Mode

    • 41 % CAPI
    • 59 % CATI

    Percentage Of Proxy Interviews

    48.8 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of Selection Probability

    Weighting: Method

    "The data are weighted for unequal probability of selection and for non-response and calibrated according to the known population distribution: age groups [...], sex and region (NUTS3 level). The calibration 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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 53)

    Notes

    -

    References

  • SK - Slovakia

    National Reference

    Corresponding National Study

    Labour Force Survey/
    pracovných síl

    Producer

    Statistical Office of the Slovac Republic

    Universe

    The target population of the survey is every person aged 15 and over, 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 92759

    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 2011

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The variables used for the stratification are region, 5-years age groups and sex.

    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

    Interview Mode

    • 29.4 % CAPI
    • 31.7 % CATI
    • 38.9 % PAPI

    Percentage Of Proxy Interviews

    49.6 %

    Weighting

    Design Weight: Target

    Person

    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."(Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 55)

    Notes

    -

    References

  • 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. The survey covers persons aged 16-74 years in both private and collective households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 11220

    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
    • 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

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    1.1 %

    Weighting

    Weighting: Method

    "The a posteriori stratification variables are 5-years age groups and sex." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 63)

    Notes

    -

    References

  • UK - Great Britain

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    Office for National Statistics

    Universe

    The survey covers private households and includes persons who are temporarily absent. In Great Britain, an additional sample is drawn to cover persons living in National Health Service/Hospital Trust accommodation.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 80193

    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

    Postal addresses / telephone numbers / housing units

    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: 3-(2)-2

    Units

    • Individual
    • Household

    Data Collection

    Date of Data Collection

    Continuous survey

    Participation Mandatory

    No

    Type Of Data Source

    Survey

    Interview Mode

    • 89 % CAPI
    • 11 % CATI

    Percentage Of Proxy Interviews

    32.9 %

    Weighting

    Weighting: 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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 61)

    Notes

    -

    References

  • 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. All the Italian regions are covered.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 584571

    Available Data

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

    Sampling Procedure

    Source Of Sampling Frame

    Municipal registers

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Households

    Stratification Criteria

    Stratification of primary units is carried out in each NUTS 3 domain and is based on the population of the municipalities.

    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

    Interview Mode

    • 46.6 % CAPI
    • 53.4 % CATI

    Percentage Of Proxy Interviews

    20.3 %

    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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 29)

    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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 29)

    Notes

    -

    References

  • MT - Malta

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    National Statistics Office - Malta

    Universe

    The survey covers private households, including people who are temporarily absent from the usual place of residence. Children or any other members who are living in another dwelling or institution are excluded.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 25513

    Available Data

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

    Sampling Procedure

    Source Of Sampling Frame

    2011 Census

    Sampling Design

    • Probability
    • systematic
    • 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

    Interview Mode

    • 75 % CATI
    • 25 % PAPI

    Percentage Of Proxy Interviews

    46.2 %

    Weighting

    Design Weight: Target

    Person

    Non-response Weight: Method

    "Adjustment for non-response is done based on panel information to correct for sample bias arising out of differential non-response and nonrepresentative probabilities of selection." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 41)

    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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 41)

    Notes

    -

    References

  • 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 or in other countries for more than one year are excluded from the survey. 

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 323659

    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

    OBS - statistical sampling frame for social surveys

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    PSUs are stratified by urban/rural division of voivodships (provinces), as well as division within voivodships depending on the size of the place.
    In the second stage dwelling units are sampled from selected PSUs stratified by size of the municipality.

    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

    Interview Mode

    • 81 % CAPI
    • 1 % CATI
    • 18 % PAPI

    Percentage Of Proxy Interviews

    36.3 %

    Weighting

    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 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 separately in each voivodship." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 47)

    Notes

    -

    References

  • 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. Individuals who are absent for short periods of time (less than one year) and who are not occupying other dwellings permanently are also included.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 162885

    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 Dwellings Register (NDR)

    Sampling Design

    • Probability
    • systematic
    • stratified
    • one stage

    Primary Sampling Units

    Dwellings

    Secondary Sampling Units

    Not used

    Stratification Criteria

    In each stratum (NUTS3), the clusters were selected systematically with probability proportional to size (number of private dwellings of usual residence).

    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

    Interview Mode

    • 41.4 % CAPI
    • 58.6 % CATI

    Percentage Of Proxy Interviews

    47.3 %

    Weighting

    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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 47)

    Notes

    -

    References

  • 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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 62732

    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

    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 (the sample size of each stratum is proportionate to the population size of the respective canton). The extra sample of foreign persons is additionally stratified by nationality.

    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

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    3.7 %

    Weighting

    Design Weight: Method

    Inverse of Selection Probability

    Weighting: Method

    "The weighting procedure is based on a two-phase process. In a first step, the design weights are obtained as the reciprocal of the inclusion probability of the sample units. In a second step, these weights are adjusted for non-response, and finally the sample is calibrated on age, sex, canton of residence (NUTS3), and other variables (nationality, residence permit, duration of residence, marital status, labour market status, number of jobs, income decile, grade of invalidity to work, reception of invalidity or old age pension, registration at public employment office, duration of registration at public employment office, economic activity of the local unit, legal form of the local unit) using the calibration software CALMAR." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 67)

    Notes

    -

    References

  • GR - Greece

    National Reference

    Corresponding National Study

    Labour Force Survey

    Producer

    Hellenic Statistical Authority (EL.STAT)

    Universe

    The survey covers only private households. The household also includes people who are temporarily awayI (less than 6 months).

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 29731

    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 2011

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The strata are defined by groups of municipalities. All other NUTS3 areas are divided in 2 or 3 final strata.

    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

    Interview Mode

    • 5 % CAPI
    • 95 % PAPI

    Percentage Of Proxy Interviews

    38.6 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Weighting: Method

    "The survey weights are adjusted Design weights are calculated as the inverse of probability selection of the household (computed from the total number of households during 2011 census, and the expected sample size), adjusted for non-response at primary unit level and finally post stratified by region, sex and age. by region (NUTS 2), age groups and sex (for the members of private households)." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 21)

    Notes

    -

    References

  • 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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 104966

    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 2011, Population registers

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The geographical areas 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

    Interview Mode

    • 24.1 % CAPI
    • 75.9 % CATI

    Percentage Of Proxy Interviews

    52.1 %

    Weighting

    Design Weight: Target

    Housholf

    Non-response Weight: Method

    "The design uses Ratio Estimator and the auxiliary variable is the Population Projection at stratum level.
    Every quarter, population projections by age group (0–15 years and 16 years +) and Spanish provinces (in general corresponding to NUTS3 regions) 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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 23)

    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 5-years age groups and household size (5 groups of 1, 2, 3, 4 and 5+ inhabitants) at NUTS2 level (Comunidades Autónomas), the nationality of the population aged 16 and more (national/non-national) at NUTS2 level and by sex and 3 aggregated age groups (16-29, 30-49, 50+) and region (NUTS3 or provinces)." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 23)

    Notes

    -

    References

  • 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. The survey covers only private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 74078

    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 postal addresses and population register.

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    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

    Interview Mode

    • 8 % CAPI
    • 72 % CATI
    • 20 % Websurvey

    Percentage Of Proxy Interviews

    48.4 %

    Weighting

    Weighting: Method

    "Weighting of the respondents is done in two stages. 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 non-response are reduced. For this, information on gender, age, ethnic background, place of residence and some other regional classifications are used. In addition, administrative sources on the income and registration at unemployment office are used. Also information on the correlation in the panel-overlap between subsequent quarters is used and all waves together are weighted in one step." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 9)

    Notes

    -

    References

  • EE - Estonia

    National Reference

    Corresponding National Study

    Estonian Labour Force Survey

    Producer

    Statistics Estonia

    Universe

    The survey covers the whole country. Both private and collective households are surveyed. 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 24232

    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 2011 updated in 2016 with Population registers.

    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

    Interview Mode

    • 53 % CAPI
    • 47 % CATI

    Percentage Of Proxy Interviews

    38.9 %

    Weighting

    Design Weight: Target

    Household

    Non-response Weight: Method

    "For non-response adjustment the non-response correction factors are computed. Homogeneous groups of respondents are formed on the basis of the households place of residence 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." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 17)

    Coverage Adjustment Weight: Method

    "[...] 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 (five-year age groups), place of residence (urban/rural area, 15 counties (NUTS 4 level) and the capital city) 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 five-year age groups." (Eurostat (2018): Labour force survey in the EU, candidate and EFTA countries. Main characteristics of national surveys, 2016, p. 17)

    Notes

    -

    References