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Study: EU-SILC 2016

Titles

Title European Union Statistics on Income and Living Conditions 2016

Abstract

EU-SILC 2016 contains the 2016 module on Health and children's health.

Coverage

Geographical Coverage

EU-28 member states and Iceland, Turkey, Norway and Switzerland. Montenegro, the former Yugoslav Republic of Macedonia (FYROM) and Serbia. (Eurostat: METHODOLOGICAL GUIDELINES AND DESCRIPTION OF EU-SILC TARGET VARIABLES. 2016 operation (Version May 2017), p. 17).

Time Period Covered

Reference period for core variables: current, constant, at selection, income reference period, usual week, last 4 weeks, last 12 months, since last year, working life, childcare reference period.

Notes

-

References

Country Specific Information: EU-SILC 2016

  • LV - Latvia

    National Reference

    Producer

    Central Statistical Bureau of Latvia

    Universe

    "Persons living in private households within national territory were the reference population of the EU-SILC survey." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LV, p. 10.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6042

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    "The stratification was made depending on the type of municipality (Riga, cities, towns, rural areas). The Classification of Administrative Territories and Territorial Units (CATTU) of Latvia was used for stratification." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LV, p. 4.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2016

    End Date

    07-2016

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 71.1 % CAPI
    • 27.3 % CATI
    • 1.6 % PAPI

    Percentage Of Proxy Interviews

    21.2 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "Base weights were corrected by non-response in the primary sampling units. The 2013, 2014 and 2015 data were adjusted for returnees. New household members with RB110 = 3 (moved into from outside sample) and former household members with RB110 = 5, 6 or 7 (moved out, died, not registered in the previous wave and did not live in household anymore) had RB060 = 0. The newly born (household members with RB110 = 4) received the weight of their mother." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LV, Annex 3, p. 1.)

    Coverage Adjustment Weight: Method

    "For each year, each rotational group with adjusted design weights was calibrated on the corresponding year’s population. Weights were calibrated (in the household level) on the basis of demographic data by breaking them down by the type of municipality (Riga, cities, towns, rural areas), 16 age groups (0-5; 6-11; 12-15; 16-17; 18-24; 25-29; 30-34; 35-39; 40-44; 45-49; 50-54; 55-59; 60-64; 65-69; 70-74; 75+), sex and 6 regions of Latvia (NUTS 3). GREG calibration was used." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LV, Annex 3, p. 2.)

    Notes

    -

    References

    2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS) LV.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • LT - Lithuania

    National Reference

    Producer

    Statistics Lithuania

    Universe

    "The target population of EU-SILC is all persons living in private households within the national territory of Lithuania at the time of data collection. Collective households and institutions are excluded from the target population." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LT, p. 5.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4807

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    Residents’ Register

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Stratification Criteria

    "While selecting the new rotational group of the sample the country were grouped into 25 strata: 5 largest cities, other cities and rural area by county (a total of 10 counties). Simple random sample of non–institutional persons aged 16 and over was selected from the Population Register in each stratum. Household which lives in the selected person’s address was surveyed." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LT, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2016

    End Date

    06-2016

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 10.5 % CAPI
    • 51.2 % CATI
    • 34.8 % PAPI
    • 0.6 % Self-administered
    • 2.9 % Websurvey

    Percentage Of Proxy Interviews

    31 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "To estimate household response probability logistic regression model are used. Response bias is estimated for responding and non-responding households." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LT, Annex 5, p. 1.)

    Coverage Adjustment Weight: Method

    "Modified design weights are calibrated, seeking for the weights, which would remain as close as possible to sample design weights and allow obtaining some exact demographic estimates – auxiliary variables:
    - number of persons aged 0 and older (including newborn children) by different strata;
    - number of persons by different age groups;
    - number of males by different age groups." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LT, Annex 5, p. 2.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LT.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • HR - Croatia

    National Reference

    Producer

    Croatian Bureau of Statistics

    Universe

    "The reference population of EU-SILC is all private households and their current members residing in the territory of Croatia at the time of data collection. Persons living in collective households and in institutions are excluded from the target population." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 10.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 7556

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    2011 Census data

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    "The sampling frame of segments for the first stage is divided into 8 strata. 6 strata are defined by 3 groups of counties (NUTS3) and the types of municipality. The type of municipality can be city or municipality. Separate 2 strata are Grad Zagreb county and city of Rijeka and city of Split together. In Croatia there are two statistical regions (NUTS2):
    1. Continental Croatia, 2. Adriatic Croatia." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    40.4 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "responded households is modified by a factor inversely proportional to the weighted response rate within a group of counties ("homogeneous group"). The weighted household response rate was computed for each group." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 4.)

    Coverage Adjustment Weight: Method

    "By the calibration procedure the household weights are adjusted so that they reproduce the totals of external variables. For the calibration of weights we used SAS Macro Calmar. The calibration was performed in an ‘integrative’ way. It means that both household and individual external information used in a singleshot calibration at household level. The new weights were calibrated on the number of persons in private households in gender–age groups by regions / groups of counties. External data were taken from Population estimates of Republic of Croatia 2015 released by the CBS." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 4.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • RO - Romania

    National Reference

    Corresponding National Study

    Romanian Survey on Income and Living Conditions ("Quality of Life Survey")

    Producer

    National Institute of Statistics of Romania

    Universe

    "The reference population is all private households and their current members residing in the territory of the Romania at the time of data collection. Persons living in collective households and in institutions are excluded from the target population." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p. 15.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 7406

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Multifunctional Sample of Territorial Areas (EMZOT)

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    "Stratification concerns only the first stage sampling. There are 88 strata, the criteria used being the area where a certain PSU is located (urban or rural area) and county (NUTS 3 level)." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2016

    End Date

    05-2016

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    10.4 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "The nonresponse are not globally adjusted, at the entire sample level, but separatelyat wave level, on groups of households, groups generated by the variables considered as explicative of the non response. This correspond to the socalled 'responsehomogenous groups’ method, which assumes that in a certain group all the units have the same probability. For wave 1 we used as explicative variables for nonresponse region (NUTS II level) and area of residence (urban / rural) and for the second, third and fourth wave the region. In order to minimize the effects induced by the presence of nonresponse another adjustment is done: reweighting by calibration of the weights." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p. 8.)

    Coverage Adjustment Weight: Method

    "We applied an integrative calibration that means that we used both households and personal variables in the procedure. The calibration is performed at the household level using the household variables and individual variables in their aggregate form as calibration variables. This technique ensures that all members in the same household receive the same weight. Adjustments were made using the SAS macro CALMAR. Calibration variables were: “distribution of the population by age group (0-15; 16-24; 25-34; 35-44; 45-54; 55-64; 65 and over) and gender” using Romanian Residential Population Estimates at the end of the income reference period and “households totals” by region." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p. 8.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • NO - Norway

    National Reference

    Producer

    Statistics Norway

    Universe

    "The sample units are persons aged 16 years or more registered in the central population register (inhabitants)." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NO, p. 3.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6859

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central population register (BEREG)

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Stratification Criteria

    " The sample is drawn from the population register, and this register is arranged to ensure geographical representativity. This is done by municipality and postal codes. As in the old part of the sample, the register is arranged by family number and personal code within the family before the actual selection of units." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NO, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 0.1 % CAPI
    • 99.9 % CATI

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "Weights are calculated by stratifying the gross sample according to information in registers on sex, age, education and family size. There are five categories of age: 16-24 years, 25-44 years, 45-66 years 67-79 years and 80 years and over. There are five categories of education: lower secondary and lower; upper secondary; post-secondary but non-tertiary; tertiary; missing information. There are also five categories for family size: 1, 2, 3, 4 and 5 and more persons. The weights are then calculated as ‘gross sample n / net sample n’ in each stratum. " (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NO, Annex 4, p. 1.)

    Coverage Adjustment Weight: Method

    "No adjustments are made, except for children's weights." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NO, Annex 4, p. 2.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NO.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • HU - Hungary

    National Reference

    Producer

    Hungarian Central Statistical Office

    Universe

    Private households living in the territory of Hungary

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 8003

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    list of occupied dwelling units in census 2011 dataset

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Localities

    Secondary Sampling Units

    Households

    Stratification Criteria

    "At stage 1 we have a stratified sample of localities with pps selection. At stage 2 (in the sampled localities) we have a stratified simple random sample of households.
    At stage 1 the population of localities is stratified. Each of the larger localities is a stratum of its own. These are the self-representing localities, the number of which is 91. Smaller localities are stratified by NUTS3 regions and the size of locality. At stage 2 the households are stratified by the charachteristic of the head of household within each locality." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2016

    End Date

    05-2016

    Type Of Data Source

    Survey

    Interview Mode

    • 94.4 % CAPI
    • 5.6 % Websurvey

    Percentage Of Proxy Interviews

    11.7 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "In the new rotational group nonresponse weights were introduced to reduce bias caused by unit nonresponse on household level. Nonresponse adjustment was a simple expansion applied by the same classes as design factors were calculated by." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU, p. 4-5.)

    Coverage Adjustment Weight: Method

    "The aim of this adjustment was to improve the accuracy of data using socio-economical information available from the constantly updated
    Census 2011 and other surveys. Iterative raking scale methods were applied.[...].
    Calibration was carried out with a self made SAS program. Calibration was carried out in each rotational group. For the new rotational group the input weight for calibration is the one described previously. For the rest of rotational groups the input weight for calibration is previous year's final cross- sectional weight."
    (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU, p. 4-5.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • BG - Bulgaria

    National Reference

    Producer

    National Statistical Institute

    Universe

    "The data base includes all private households and their current members residing in the country. Persons living in collective households and in institutions are excluded from the target population." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 2.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 7286

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Population Census 2011

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Households

    Stratification Criteria

    "The sample is stratified by administrative-territorial districts in the country (NUTS3) and the household’s location. As a result 56 strata are formed (28 of urban and 28 of rural population). Municipalities and settlements are ranged according to the number of their population within each stratum." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 3.)

    Panel Design

    Number Of Rotational Groups

    6

    Data Collection

    Start Date

    03-2016

    End Date

    05-2016

    Type Of Data Source

    Survey

    Interview Mode

    • 78 % CAPI
    • 22 % PAPI

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "The weights of the responding households should be adjusted to reproduce all households in the country for 2015. The result for the non-respondents was equal to the base weights for the corresponding responding households and their members. To adjust for non-responding households the procedure “weighting classes” was used. The households were divided into classes where the probability to respond was assumed to be homogenous within the classes. Due to lack of information (demographic characteristics) for the non-responding households these classes were the sampling strata. The ratio of the weights of the responding households to the weights of all households in the given class was calculated." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 4.)

    Coverage Adjustment Weight: Method

    "After reflecting the non-responding households the base weights for the new rotation group were calibrated to the population as of 31.12.2015. For the calibration the following variables at individual and at household level were used:
    Individual level: Age*Gender: 6 groups (0-17, 18-64, 65+)*(male, female)
    Number of persons by district: 28 groups
    Household level: Number of households: 2 groups (town, village)
    The information on individuals as of 31.12.2015 was available from the ISD. The information on the households was an estimation made on the basis of the updated file on Census 2011 and data on the split-off households from the SILC survey. Persons born in 2016 were not included in the calibration as they were not part of the population as of the end of 2015. For the calibration of weights the SAS Macro Calmar 2 was used. In 2016 Calif developed on R was tested. The logit method (M=3 in Calmar) was used for the calibration by setting upper and lower limits of the g-weights. The G-weights were the ratio of the assigned weights and the final calibrated weights. The upper limit in 2016 was 1.5 and the lower – 0.59. The calibrated weights with reflected non-responding households were the base weights (RB060) for the new rotation group and will be used in the weighting procedure in the following years. These weights were also the longitudinal weights (DB095) of the households from the new rotation group." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 4-5.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG.
    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • FR - France

    National Reference

    Producer

    INSEE - National Institute for Statistics and Economic Studies

    Universe

    All private households and their current members residing in the territory of France at the time of data collection.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 11459

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    9

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    24.8 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • BE - Belgium

    National Reference

    Producer

    Statistics Belgium

    Universe

    "The reference population is all citizens living officially living at Belgian territory (population de jure). (…) Persons living in collective households and in institutions are excluded from the target population." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BE, p. 14.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5905

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central Population Register

    Sampling Design

    • Probability
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Households

    Stratification Criteria

    "The main stratification criterion is the NUTS2 level. The 11 sampling strata are the 10 Belgian provinces (5 in Flanders – coded BE21-BE25 – and 5 in Wallonia – coded BE31 to BE35) and the Brussels Capital Region (BE10).Further implicit stratification is obtained by sorting PSUs (sub-municipalities) on mean income and sorting SSUs (households) in selected PSUs on age of reference person." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BE, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    8.5 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "Following Eurostat’s suggestion (see Document 065, WEIGHTING II. WEIGHTING FOR THE FIRST YEAR OF EACH SUB-SAMPLE), we replaced the homogeneous response groups (based on household size crossed with urbanity) ratio by a multiple regression model (based on the same dummy variables). By “responding”, we mean only those households whose results were accepted (DB135=1). Since 2009 we used logistic regression. The file was split by NUTS1 and the following variables were used
    - Everywhere: Household size, recoded into the four values “one”, “two”, “three” and “four or more” (so three dummies)
    - Out of Brussels: DB100 = urbanity
    - In Brussels = BE10: median fiscal income of municipality." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BE, p. 5.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BE.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • DE - Germany

    National Reference

    Corresponding National Study

    Leben in Europa

    Producer

    Federal Statistical Office of Germany

    Universe

    "The sampling population for the whole sample comprises private households in their main residences." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DE, p. 4.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 13330

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    Subsample of the German micro census (DSP)

    Sampling Design

    • Probability
    • random
    • stratified

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Percentage Of Proxy Interviews

    18.4 %

    Weighting

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "The basis for the sampling of the random sub samples is the access panel DSP. The structure of the DSP was considered in the weighting procedure." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DE, p. 7.)

    Coverage Adjustment Weight: Method

    "The marginal distribution of the micro census was used for the adaptation process. For the household weight (DB090) (and as such automatically for the the marginal distribution of the following characteristics:
    - monthly household net income
    - household type
    - household size
    - age
    - sex
    Since 2008, the characteristic ‘monthly household net income’ does not contain anymore an extra category ‘farmer households’. Farmer households were subdivided into other categor or over’ is differentiated into the category ‘from 65 to 69 years’ and ’70 years or over’. For the personal weight PB040 (population ’16 years or over’) we used the marginal distribution of the following characteristics:
    - sex
    - family status
    - age
    - social status
    - education level (low/medium, high)
    - household type.
    Since 2009, the categories ‘low’ and ‘medium’ of the characteristic ‘education level’ were grouped into one group in order to improve the weighting result." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DE, p. 7-8.)

    Notes

    -

    References

    2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS) DE

    _x005F_x000D_/n

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • DK - Denmark

    National Reference

    Producer

    Statistics Denmark

    Universe

    "People residing in private households residing in Denmark at the time of the interview (spring 2016)." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DK, p. 7.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6288

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central Population Register (CPR)

    Sampling Design

    • Probability
    • stratified
    • multi-stage

    Primary Sampling Units

    Addresses

    Secondary Sampling Units

    Individuals

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2016

    End Date

    06-2016

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 24.8 % CATI
    • 75.2 % Websurvey

    Percentage Of Proxy Interviews

    5 %

    Weighting

    Design Weight: Target

    Household

    Coverage Adjustment Weight: Method

    "Adjustments are based on a calibration using external data on the household level. All external data are based on variables in administrative registers. Exactly the same variables are found in the sampled households. The following external variables have been used:
    • Equivalised disposable income
    • NUTS2-Regions
    • The size of the household
    • Educational level of the person with the highest professional status in the household
    • Socio-economic status of main income holder in the household
    In addition to correcting for bias due to non-response on the household level, the SILC cross-sectional weights should reproduce certain demographic and poverty distributions on the personal level. Therefore some data on the personal level have been integrated in the calibration, that is:
    • Risk of poverty
    • Age (5 classes 0-15, 16-24, 25-49, 50-64, 65+) and sex.
    • Family type
    • Income mass and income groups (12 intervals: 1, 5, 10, … 90, 95, 99th percentile).
    From 2010 the income mass within income groups has been weighted to fit the register better. This has been done in order to obtain better consistency between our register data and the EU-SILC data and to reduce standard deviations." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DK, p. 3.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DK.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • FI - Finland

    National Reference

    Producer

    Statistics Finland

    Universe

    "Members of the private households permanently resident (the census definition) in Finland on 31 December 2015. For migrants in particular, permanent residency means that the persons have resided or intend to reside for at least 12 months and they have not a permanent recidence abroad. Persons living in institutions, in collective households or in residential homes have been excluded." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, p. 12.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 10620

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    The Population Information System maintained by the Population Register Centre of Finland

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    "Strata contain socio-economic groups grouped by income class (12 strata in the new sample since sy2015, the earlier stratum 13 "no tax information" was combined with the stratum 11 "others, lower income class"). The register tax information on income type and amount for all members of the selected sample person's household-dwelling unit available at the time of sample selection (updated by the final population register data later) is used for creating strata for those who belong to target population (excl. overcoverage). The stratification normally takes the highest earning person as a categorising person for a stratum. As an exception to the rule is an entrepreneur who does not have to be the highest earning one for entrepreneurs strata. The income class division allocates the sample more to high-earners." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2016

    End Date

    05-2016

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 2 % CAPI
    • 98 % CATI

    Percentage Of Proxy Interviews

    11.6 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "The household design weights (DB080) were multiplied by nsample,h / nrespondents,h in every stratum h (inverse of the response probability in every stratum) in the survey year."(Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, Annex 7, p. 1.)

    Coverage Adjustment Weight: Method

    "The calibration can be interpreted as integrative, i.e. both the household and person levels were included in the process. The levels and variables included in the calibration from Statistics Finland’s total household-dwelling unit data, total income distribution data and total income registers were as follows:
    1) Households: Region (≈NUTS-3) (%), type of municipality by degree of urbanisation (national classification) (%), household size (%), total sums of 15 different income variables
    2) Persons: The number of persons in sex and 5-year age classes (0-4, 5-9, ... , 80-84, 85- ), the number of low income persons. [...] Calibrations were performed by the logit method with the SAS supporting CALMAR macro." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, Annex 7, p. 2.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI.
    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • AT - Austria

    National Reference

    Producer

    Statistics Austria

    Universe

    "The reference population of EU-SILC are all private households and their current members residing in the territory of Austria at the time of data collection. Persons living in collective households and in institutions are generally excluded from the target population." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, p. 7.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6000

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central registration register ZMR (Zentrales Melderegister), a constantly updated population register based on the register of residence.

    Sampling Design

    • Probability
    • stratified
    • one stage

    Primary Sampling Units

    Dwellings

    Stratification Criteria

    "The first wave sample of EU-SILC 2016 is a one-stage stratified probability sample. The sample of the first wave was stratified according to 126 strata that where comprised of 63 regional units (combined interviewer units (Sprengel)) that where each subdivided into two groups defined by the 1st quartile of the household income from registers. The regional units are divisions of federal territory which may be approximately combined to Austrian provinces (NUTS 2 units)." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2016

    End Date

    06-2016

    Type Of Data Source

    Survey

    Interview Mode

    • 53.7 % CAPI
    • 46.3 % CATI

    Percentage Of Proxy Interviews

    10.3 %

    Weighting

    Final Weighting: Method

    see Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT. Annex 5

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT.
    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • CZ - Czech Republic

    National Reference

    Producer

    Czech Statistical Office

    Universe

    "The ultimate sampling unit was the dwelling, i.e. all persons with usual residence in that dwelling (their only place of residence or their main place of residence, according to the EU-SILC definition) were included in the survey. This includes also foreign nationals and subtenants living in the selected dwelling." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CZ, p. 4.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 8507

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Register of Census Enumeration Districts (small geographical areas covering the whole territory of the country)

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The sampling of CEUs is stratified by region (NUTS4) and municipality size.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2016

    End Date

    05-2016

    Type Of Data Source

    Survey

    Interview Mode

    • 58.7 % CAPI
    • 41.3 % PAPI

    Percentage Of Proxy Interviews

    28.7 %

    Weighting

    Non-response Weight: Method

    "Therefore, united calibration for all the waves was used as the method for correcting non-response. The achieved sample was re-weighted using the integrated calibration technique (producing the same weights on household and personal level). This technique ensures that the weighted sample structure corresponds to a set of known external population characteristics. The calculations were implemented using the CALMAR software in SAS." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CZ, p. 5.)

    Coverage Adjustment Weight: Method

    "The following calibration variables were used:
    Number of inhabited dwellings in each NUTS3 region, subdivided into family houses (detached and semi-detached houses) and flats, based on the 2001 Census and 2011 Census continuously updated from administrative sources of construction authorities
    Population characteristics:
    • Population totals in each NUTS3 region (from demographic statistics)
    • Economic activity characteristics for the Czech Republic
    • Number of employees - derived from the number of employees in the economy based on the Labour Force Survey (LFS) results and company
    reporting
    • Demographic characteristics at the national level (based on the demographic statistics):
    • Age groups (0-15, 16-24, 25-34, 35-44, 45-54, 55-64, 65-74, 75+)
    • Gender at the national level
    • Municipality size at the national level (below 2 000 inhabitants, 2 000 - 9 999, 10 000 - 49 999, 50 000+ inhabitants)" (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CZ, p. 5-6.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CZ.
    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • CY - Cyprus

    National Reference

    Corresponding National Study

    Survey of Income and Living Conditions

    Producer

    Statistical Service of Cyprus - (CYSTAT)

    Universe

    "There is no difference to the standard EU-SILC definition, hence the reference population is defined as all the households and their members living in the government controlled areas of Cyprus. Population in collective households and institutions is excluded." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY, p. 8.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4178

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    2011 Census of Population with a supplementary list of newly constructed houses (build after 2011 up to September 2014)

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Stratification Criteria

    Geographical stratification criteria were used for the sample selection. The households were stratified in 9 strata based on District (Urban / Rural).

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2016

    End Date

    07-2016

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 86.7 % CAPI
    • 13.3 % CATI

    Percentage Of Proxy Interviews

    15.3 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "The empirical response rate within each stratum provides an estimate of the response probability for all the households of the stratum." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY, Annex 3, p. 2.)

    Coverage Adjustment Weight: Method

    "The individual variables are aggregated at the household level by calculating household totals such as the number of male/female in the household, the number of persons aged 16 and over etc. After that, calibration is done at the household level using the household variables and the individual variables in their aggregate form. The calibration variable used at household level was the household type:
    1. One adult no dependent children.
    2. At least two adults no dependent children.
    3. One adult with at least one dependent child.
    4. Two adults with one dependent child.
    5. Two adults with two dependent children.
    6. Two adults with at least three dependent children.
    7. At least two adults and at least one dependent child.
    At personal level the calibration variables used were the distribution of population by age (age≤15, 16≤age≤19, 20≤age≤24,…, 70≤age≤74, age≥75) and gender. Based on this calibration procedure and using the weight after non-response adjustment as the initial weight, the household (DB090) and the personal (RB050) cross-sectional weights were calculated." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY, Annex 3, p. 2-3.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY.
    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • SE - Sweden

    National Reference

    Producer

    Statistics Sweden

    Universe

    "The refence population is the whole Swedish population except short term migrants. People who stay in Sweden for no longer than 3-12 months are not covered." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SE, p. 5.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5787

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Total Population Register (TPR)

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Stratification Criteria

    "The sample is stratified by age in eight strata according to age: 16-23 years, 24-33 years, 34-43 years, 44-53 years, 54-63 years, 64-73 years, 74-83 years and 84 years and older." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SE, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2016

    End Date

    12-2016

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 0.1 % CAPI
    • 99.9 % CATI

    Percentage Of Proxy Interviews

    1.2 %

    Weighting

    Design Weight: Target

    Household

    Final Weighting: Method

    “Up until 2015, the estimation procedure of the Swedish EU-SILC did not utilize any auxiliary information and the estimator used only the nonresponse adjusted design weights. From the survey year 2016, the cross-sectional estimation procedure takes advantage of auxiliary information through a calibration approach.” (2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS) SE, Annex: Statistics Sweden: Cross-sectional weighting in Swedish EU-SILC, p.1)

    Notes

    -

    References

    2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS) SE.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • SI - Slovenia

    National Reference

    Producer

    The Statistical office of the Republic of Slovenia

    Universe

    "The reference population is defined with the persons in the Central Register of Population which are aged 16 years or more. The individuals with Slovenian citizenship as well as foreigners were included in the sampling frame." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p. 14.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 8585

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central Register of Population (CRP)

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Individuals

    Stratification Criteria

    "The sampling frame of persons aged 16 years or more is divided into 6 strata, which are defined according to the size of the settlement and the proportion of agricultural households in the settlement." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2016

    End Date

    06-2016

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 51.7 % CAPI
    • 48.3 % CATI

    Percentage Of Proxy Interviews

    21.9 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "The non-response factor was calculated for each stratum. First the sample was divided into three categories: responses, non-responses and out-of-scope units. The nonresponse adjustment factor is calculated: , where is the number of the responses in the stratum and number of the non- responses in the stratum." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p. 8.)

    Coverage Adjustment Weight: Method

    "The final step of the calculation of the weights was the calculation of the calibration factors. By the calibration procedures the weighted sums of some key variables are set to the known population values. These population values are obtained from the different administrative sources. For the calibration of weights we used SAS Macro Calmar. We performed calibration for the level of households, as well as for the level of the persons." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p. 8.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • SK - Slovakia

    National Reference

    Producer

    The Statistical Office of the Slovak Republic

    Universe

    Private households

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5738

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Data set is based only on a survey.

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Households

    Stratification Criteria

    "There are two criteria of area stratification in the sampling design:
    - geographical stratification (8 standard administrative regions corresponding to the European NUTS 3 level.).
    - degree of urbanization: 7 groups according to population size of municipalities and communes (number of inhabitants in municipalities and communes).
    48 final strata were created (variable DB050) by using of those two stratification criteria." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2016

    End Date

    05-2016

    Type Of Data Source

    Survey

    Interview Mode

    • 99.1 % PAPI
    • 0.9 % Self-administered

    Percentage Of Proxy Interviews

    13 %

    Weighting

    Design Weight: Target

    Household

    Non-response Weight: Method

    "We used dividing households into strata (region and rotational group) and we resulted from assumption that each household in stratum has the same probability of response. Then the empirical value of the response rate within the stratum gives the estimate of the probability of response for each household in the stratum." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, p. 4.)

    Coverage Adjustment Weight: Method

    "Calculation of the households crosssectional weights DB090k0 - has been implemented by system of simple calibration of weights of the households by using of variables - number of households by number of membership in administration regions." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, p. 3-4.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • UK - Great Britain

    National Reference

    Corresponding National Study

    Family Resources Survey

    Producer

    Office for National Statistics

    Universe

    "The reference population for the Family Resources Survey is all private households in the UK." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 11.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 9711

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    for Great Britain: Royal Mail’s small-users Postcode Address File (PAF); for Nothern Irland: POINTER address database

    Sampling Design

    • Probability
    • random
    • stratified

    Primary Sampling Units

    Postecode sectors

    Secondary Sampling Units

    Addresses

    Panel Design

    Data Collection

    Start Date

    03-2016

    End Date

    11-2016

    Type Of Data Source

    Survey

    Interview Mode

    • 95.5 % CAPI
    • 4.5 % Websurvey

    Percentage Of Proxy Interviews

    20.9 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "There is no correction for individual non-response, because only fully cooperating households are included in the dataset. Household non-response is corrected for in the grossing procedure, which sets grossing factors so that the population estimate is representative of the population in several dimensions." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 4.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • PT - Portugal

    National Reference

    Corresponding National Study

    ICOR (Income and living Conditions)

    Producer

    Statistics Portugal

    Universe

    All private households and their current members living in Portugal (Mainland, Açores and Madeira).

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 10616

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    36.2 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • PL - Poland

    National Reference

    Producer

    Central Statistical Office of Poland

    Universe

    "The survey unit was a household and all the household members who have reached the age of 16 years by December 31, 2015. The survey did not cover collective accomodation households( such as boarding houses, workers' hostels, pensioners' houses or monastries), exept households of the staff members of institutions living in these buildings in order to do their job (e.g. hotel manager, tender etc.)." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, p. 12.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 11982

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Domestic Territorial Division Register

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    "The strata were the voivodships (NUTS2) and within the voivodships primary sampling units were classified by class of locality. In urban areas census areas were grouped by size of town. Big cities formed independent strata, but in the five largest cities districts were treated as strata. In rural areas strata were represented by rural gminas (NUTS5) of a subregion (NUTS3) or of a few neighbouring powiats (NUTS4). Altogether, 250 strata were distinguished." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2016

    End Date

    07-2016

    Type Of Data Source

    Survey

    Interview Mode

    • 49 % CAPI
    • 51 % PAPI

    Percentage Of Proxy Interviews

    27 %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "weights were then adjusted with the use of the completeness indicator, estimated for each class of locality separately" (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, p. 3.)

    Coverage Adjustment Weight: Method

    "With the use of the integrated calibration method (in its hyperbolic sinus version) weights were calculated for individuals and for households simultaneously. To do this, the following information about households was used: 4 size categories (1-person, 2-person, 3-person and 4- and more person households) and number of persons by age and gender (14 age groups: under 16, 16-19 years, then eleven 5-year groups, 75 years and over). The data at the level of NUTS2, additionally classified by urban/rural areas, were derived from the 2011 Census and current demographic estimates. For the Longitudinal data adjustment to external data was not applied." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, p. 3-4.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • RS - Serbia

    National Reference

    Producer

    Central Statistics Office (CSO)

    Universe

    Persons aged 16 years and over living in private households

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5554

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    8 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • ES - Spain

    National Reference

    Producer

    National Statistics Institute (INE-Spain)

    Universe

    "The target population was members of private households residing at main family addresses, and the households themselves." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), ES, p. 7.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 14240

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 76.8 % CAPI
    • 23.2 % CATI

    Percentage Of Proxy Interviews

    27.4 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • NL - Netherlands

    National Reference

    Producer

    Statistics Netherlands

    Universe

    "The reference population of EU-SILC is all private households and their current members residing in the Netherlands at the time of data collection. Persons living in collective households and in institutions are excluded from the target population." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, p. 7.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 12743

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Dutch Population register (Basisregistratie Personen (BRP))

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Individuals

    Stratification Criteria

    "In the new sampling design for the first wave in 2016, a stratified sampling frame of persons aged 16 and over was constructed. Sample persons were divided into 21 strata. These strata were defined on the basis of household income, age and number of household members belonging to the target population."
    (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, p. 3.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2016

    End Date

    09-2016

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 66.6 % CATI
    • 33.4 % Websurvey

    Percentage Of Proxy Interviews

    0.4 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "For each stratum h the response probability p of a sample person is defined as mh/Nh, where m is the number of sample persons in the response and N the population number in each stratum.
    Then an (estimated) response probability to all household members was assigned [...]
    Response probabilities for all household members were added up. This results in an estimation of the response probability of the household. Then the reciprocal of this sum was assigned to all household members. These are the unscaled household inclusion weights. These weights were scaled to the population total on reference date 1-1-2016. The inclusion weights for all members of a household are equal. " (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, Annex 4, p. 3.)

    Coverage Adjustment Weight: Method

    "Two external data sources are used in the EU-SILC calibration procedure: the Population Register (BRP) and the Income Register. Statistics Netherlands uses an calibration model including regional breakdowns with register-based proxies of the EU-SILC target variables to be estimated, such as distributions of equivalised income in deciles and the at-risk-of-poverty rate. The population totals are derived from an integral income data set, covering the entire Dutch population. The income concept used is the equivalised income according to the EU-SILC definition. This means that interest repayments on mortgage (HY100G) imputed rent (HY030G) and contributions to individual private pension plans (PY035G) are excluded from the disposable income." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, Annex 4, p. 4-5.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • EE - Estonia

    National Reference

    Producer

    Statistics Estonia

    Universe

    "Households whose usual place of residence is in Estonia, and the members of these households, excluding persons living in institutions (children’s homes, care homes,monasteries, convents, prison etc.)." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE, p. 2.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6026

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Sampling frame for selection of new part of the sample is Statistical Population Register of Estonia.

    Sampling Design

    • Probability
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Stratification Criteria

    "Geographical stratification was used. The countries (and capital Tallinn) were grouped into three strata by the population size." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE, p. 2.)

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2016

    End Date

    06-2016

    Type Of Data Source

    Survey

    Interview Mode

    • 93.4 % CAPI
    • 5.1 % CATI
    • 1.5 % Websurvey

    Percentage Of Proxy Interviews

    30.8 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "Correction for non-response was done with logistic regression model predicting the response probability of the household. Auxiliary variables were: age of address-person, county group and urbanization status (rural/urban), household size. County and urbanization status were defined with respect to the real place of residence where possible and according to PHC otherwise." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE, Annex 2, p. 2.)

    Coverage Adjustment Weight: Method

    "Non-response corrected weights were calibrated to reproduce known population totals. Calibration totals originated from demographic statistics published by Statistics Estonia with institutionalized persons deducted. Calibration was made on the following auxiliaries:
    • County (with capital Tallinn forming separate stratum);
    • Sex (male/female) x age group (0-12, 13-14, 15, 16-19, 20-24, 25-29, 30-34, …, 65-69, 70-74, 75+);
    • Urbanization status (rural/urban)." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE, Annex 2, p. 2.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE.

    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)

  • EL - Greece

    National Reference

    Producer

    Hellenic Statistical Authority

    Universe

    "The reference population is all citizens officially living at Greek territory (population de facto)." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EL, p. 14.)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 18255

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    • Probability
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Households

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2016

    End Date

    11-2016

    Type Of Data Source

    Survey

    Interview Mode

    • 5.1 % CATI
    • 94.2 % PAPI
    • 0.7 % Websurvey

    Percentage Of Proxy Interviews

    3.1 %

    Weighting

    Design Weight: Target

    Households

    Design Weight: Method

    Inverse of Selection Probability

    Non-response Weight: Method

    "Within each design stratum, the non-response adjustment of the responding households is carried out by the inverse of the response rate, so as to “make up” for non-responding cases in that stratum." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EL, p. 7.)

    Coverage Adjustment Weight: Method

    "Adjustment to external data involves the calibration of the household and personal weights in conjunction with external sources (Projections for population and household totals for the year 2016). This method enables the distribution of auxiliary variables, at household and individual level, to coincide with the corresponding population distribution of external data. The auxiliary variables used at household level are the household size, the tenure status and the Region (NUTS 2). Also, at personal level the auxiliary variables used are age groups (five years age groups) and gender. " (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EL, p. 7.)

    Notes

    -

    References

    Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EL.
    EU-SILC Data 2016: DB020 (Sample Size), RB250 (Data Source), RB260 (Interview Mode)