Title
European Union Statistics on Income and Living Conditions 2016
EU-SILC 2016 contains the 2016 module on Health and children's health.
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.
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Country Specific Information: EU-SILC 2016
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LV - Latvia
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.)
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.)
Number Of Rotational Groups
4
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: Method
See Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LV, Annex 3.
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LU - Luxembourg
Producer
STATEC, Institut national de la statistique et des études économiques du Grand-Duché du Luxembourg
Universe
"The reference population comprises all the persons who currently resided within the national territory of Luxembourg in January 2016, except:
- the persons living in private households whose all members are covered by the Luxemburgish Social Security;
- the persons living in collective households or institutions (retirement homes, prisons etc.)" (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LU, p. 6.)
Source Of Sampling Frame
administrative sources of the Luxemburgish Social Security and a simple random sample of individuals aged 18 or more drawn in 2016 from Luxembourg National Population Register (RNPP)
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
"The sample was stratified according to the 12 geographical regions (canton) of the Grand-Duchy of Luxembourg, the canton of Luxembourg being further split into the city of Luxembourg and the rest. Thus, 13 stratum groups were defined." (Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LU, p. 2.)
Number Of Rotational Groups
4
Start Date
02-2016
End Date
11-2016
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
26.5 %
Weighting: Method
See Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LU, Annex 4.
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LT - Lithuania
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.)
Source Of Sampling Frame
Residents’ Register
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
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.)
Number Of Rotational Groups
4
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: Method
See Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LT, Annex 5.
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HR - Croatia
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.)
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.)
Number Of Rotational Groups
4
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
40.4 %
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.)
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RO - Romania
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.)
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.)
Number Of Rotational Groups
4
Start Date
05-2016
End Date
05-2016
Type Of Data Source
Survey
Interview Mode
- 100 % PAPI
Percentage Of Proxy Interviews
10.4 %
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.)
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NO - Norway
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.)
Source Of Sampling Frame
Central population register (BEREG)
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
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.)
Number Of Rotational Groups
4
Type Of Data Source
Register,Survey
Interview Mode
- 0.1 % CAPI
- 99.9 % CATI
Weighting: Method
See Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NO, Annex 4.
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HU - Hungary
Producer
Hungarian Central Statistical Office
Universe
Private households living in the territory of Hungary
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.)
Number Of Rotational Groups
4
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 %
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.)
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FR - France
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.
Sampling Design
Probability
Primary Sampling Units
Municipality
Secondary Sampling Units
Dwellings
Number Of Rotational Groups
9
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
24.8 %
Weighting: Method
Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FR - Annex Weightign Procedure.
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BG - Bulgaria
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.)
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.)
Number Of Rotational Groups
6
Start Date
03-2016
End Date
05-2016
Type Of Data Source
Survey
Interview Mode
- 78 % CAPI
- 22 % PAPI
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.)
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BE - Belgium
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.)
Source Of Sampling Frame
Central Population Register
Sampling Design
Probability
- systematic
- 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.)
Number Of Rotational Groups
4
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
8.5 %
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.)
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DE - Germany
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.)
Source Of Sampling Frame
Subsample of the German micro census (DSP)
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Number Of Rotational Groups
4
Type Of Data Source
Survey
Interview Mode
- 100 % Self-administered
Percentage Of Proxy Interviews
18.4 %
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.)
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DK - Denmark
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.)
Source Of Sampling Frame
Central Population Register (CPR)
Sampling Design
Probability
- stratified
- multi-stage
Primary Sampling Units
Addresses
Secondary Sampling Units
Individuals
Number Of Rotational Groups
4
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 %
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.)
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FI - Finland
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.)
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.)
Number Of Rotational Groups
4
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: Method
See Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, Annex 7.
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IE - Ireland
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AT - Austria
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.)
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
Secondary Sampling Units
Not used
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.)
Number Of Rotational Groups
4
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: Method
see Eurostat: 2016 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT. Annex 5
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CZ - Czech Republic
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.)
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.
Number Of Rotational Groups
4
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 %
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.)
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CY - Cyprus
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.)
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
Secondary Sampling Units
Not used
Stratification Criteria
Geographical stratification criteria were used for the sample selection. The households were stratified in 9 strata based on District (Urban / Rural).
Number Of Rotational Groups
4
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: Method
See Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY, Annex 3.
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SE - Sweden
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.)
Source Of Sampling Frame
Total Population Register (TPR)
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
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.)
Number Of Rotational Groups
4
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: Method
See Eurostat (2016): National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS) SE, Annex: Statistics Sweden: Cross-sectional weighting in Swedish EU-SILC.
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SI - Slovenia
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.)
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.)
Number Of Rotational Groups
4
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 %
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.)
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SK - Slovakia
Producer
The Statistical Office of the Slovak Republic
Universe
Private households
Source Of Sampling Frame
Data set is based only on a survey.
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
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.)
Number Of Rotational Groups
4
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 %
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.)
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IS - Iceland
-
UK - Great Britain
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.)
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
- systematic
- stratified
- multi-stage
Primary Sampling Units
Postecode sectors
Secondary Sampling Units
Addresses
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 %
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.)
-
IT - Italy
Producer
Italian National Institute of Statistics
Source Of Sampling Frame
Registers of the municipalities
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Households
Stratification Criteria
"Stratification of primary sampling units by the number of inhabitants so that the total number of inhabitants in each stratum is approximately constant (this guarantees self-weighting design in each region).
Municipalities which sizes are higher than a threshold are self-representing units i.e. are strata themselves and included with certainty in the sample of PSU. Secondary sampling units are not stratified." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), IT, p. 3.)
Number Of Rotational Groups
4
Type Of Data Source
Survey
-
MT - Malta
Producer
National Statistics Office
Universe
"(...) the reference population is composed of all private households and their current members residing in Malta at the time of data collection. Persons living in institutions are excluded from the target population." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), MT, p. 9.)
Source Of Sampling Frame
2011 Census of Population & Housing
Sampling Design
Probability
- random
- not stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Number Of Rotational Groups
5
Start Date
05-2016
End Date
10-2016
Type Of Data Source
Survey
Weighting: Method
See Eurostat: National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), MT, Annex 5.
-
PL - Poland
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.)
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.)
Number Of Rotational Groups
4
Start Date
05-2016
End Date
07-2016
Type Of Data Source
Survey
Interview Mode
- 49 % CAPI
- 51 % PAPI
Percentage Of Proxy Interviews
27 %
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.)
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PT - Portugal
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).
Number Of Rotational Groups
4
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
36.2 %
-
RS - Serbia
Producer
Central Statistics Office (CSO)
Universe
Persons aged 16 years and over living in private households
Number Of Rotational Groups
4
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
8 %
-
CH - Switzerland
Producer
Federal Department of Home Affairs FDHA
Federal Statistics Office FSO
Universe
All individuals aged 16 or over are interviewed. Non-permanent residents living in a household with at least one permanent resident are also included.
Source Of Sampling Frame
SRPH survey base
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Households
Secondary Sampling Units
Individuals
Stratification Criteria
The seven major geographical regions (level NUTS2)
Number Of Rotational Groups
4
Start Date
01-2016
End Date
04-2016
Type Of Data Source
Survey
-
ES - Spain
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.)
Source Of Sampling Frame
Municipal Register
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Addresses
Stratification Criteria
"In each Autonomous Community [self-ruling region], first-stage units were stratified by the size of the municipality to which the census section belonged." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), ES, p. 2.)
Number Of Rotational Groups
4
Type Of Data Source
Survey
Interview Mode
- 76.8 % CAPI
- 23.2 % CATI
Percentage Of Proxy Interviews
27.4 %
Design Weight: Target
Household
Design Weight: Method
Inverse of Selection Probability
Non-response Weight: Method
Adjustment for non-response is carried out by multiplying a certain factor to provide an estimate of the inverse probability of response in the stratum.
Coverage Adjustment Weight: Method
The factor is weighted to adjust estimated distribution to the population distribution by Autonomous Community, age group and gender provided by the Demographic Projections Unit.
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NL - Netherlands
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.)
Source Of Sampling Frame
Dutch Population register (Basisregistratie Personen (BRP))
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
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.)
Number Of Rotational Groups
4
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: Method
See Eurostat (2016). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, Annex 4.
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EE - Estonia
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.)
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
Secondary Sampling Units
Not used
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.)
Number Of Rotational Groups
4
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: Method
See Eurostat: National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE, Annex 2.
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EL - Greece
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.)
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Households
Number Of Rotational Groups
4
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 %
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.)