Central Statistical Bureau of Latvia

"Persons living in private households within national territory were the reference population of the EU-SILC survey." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), LV, p. 9.)

Counting areas from the list of the Population Census 2000, Population Register, Statistical register of dwellings and Statistical register of households

• Probability
• systematic
• stratified
• multi-stage

Area units

Dwellings

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), LV, p. 3.)

5

-

-

Register,Survey

• 1.9 % CAPI
• 89.9 % CATI
• 8.2 % Websurvey

32.3 %

See Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), LV, Annex 5 - Weighting Procedure

STATEC, Institut national de la statistique et des é études économiques du Grand-Duché du Luxembourg

"The reference population comprises all the persons who currently resided within the national territory of Luxembourg in January 2021, 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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), LU, p. 5.)

From 2016 onwards, the EU-SILC sample is drawn from Luxembourg's National Population Register (RNPP - Registre National des Personnes Physiques).

• Probability
• stratified
• one stage

Individuals

Not used

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), LU, p. 2.)

"The sample is allocated among the strata proportionnaly to their size in number of individuals aged 18+." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), LU, p. 2.)

4

01.09.2021

01.12.2021

Survey

• 29.3 % CATI
• 70.7 % Websurvey

31 %

Individuals

Inverse of Selection Probability; household design weight DB080

Statistics Lithuania

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), LT, p. 2.)

Population Register [which] is updated regularly.

• Probability
• random
• stratified
• one stage

Households

Not used

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), LT, p. 2.)

4

01.01.2021

01.04.2021

Register,Survey

• 2.6 % CAPI
• 79.8 % CATI
• 0.1 % PAPI
• 0.3 % Websurvey
• 17.2 % Mixed Mode Collection

Household

Inverse of Selection Probability; household design weight DB080

"To estimate household response probability logistic regression model are used. Response bias is estimated for responding and non-responding households." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), LT, Annex 11, pp. 1-2.)

"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 and income 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.
The product of calibration procedure is the calibrated household weight of sub-sample s1; it is equals to the household base weight for sub-sample s1 of T (T – survey year). Then the personal base weight of sub-sample s1 of T is defined. The SAS macro program CLAN is used to calculate calibrated weights." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), LT, Annex 10, pp. 2-3.)

Croatian Bureau of Statistics

"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. No differences between the national and the standard EU-SILC concept." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), HR, p. 2.)

2011 Census data

• Probability
• stratified
• multi-stage

Municipality

Addresses

"The sampling frame of segments for the first stage is divided into 8 strata. 6 strata are defined by 3 groups of counties (NUTS-3) and the types of munici [illegible] A 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 (NUTS-2):
1. Continental Croatia
2. Adriatic Croatia.
5 strata belong to Continental Croatia region and 3 strata belong to Adriatic Croatia region.
Beside explicit stratification, implicit stratification according to counties (NUTS-3) and municipalities was applied. It means that the list of segments w [illegible] according to counties and municipalities before selection." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), HR, p. 3.)

"The sampling frame was divided into 8 strata. In the first stage we have selected segments as PSUs. The PSUs were systematically selected with probab [illegible] each stratum (the measure of size was the number of private households according to the 2011 Census). Before selection of PSUs, segments were sorted [illegible] municipalities. In the second stage 7 addresses (occupied dwellings) were randomly selected from each PSU. Described selection scheme is not self-weighting because of different sampling fractions between strata and unequal selection probabilities of addresses [illegible] Unequal selection probabilities of addresses were a consequence of differences between the number of households and the number of occupied dwellin [illegible] other discrepancies in the 2011 Census data." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CZ, p. 3.)

29.03.2021

30.06.2021

Survey

• 29.2 % CAPI
• 70.8 % CATI

43.4 %

Dwellings

Inverse of Selection Probability; household design weight DB080

"The design weight of responded households is modified by a factor inversely proposrtional to a weighted response rate within a group of counties ("homogeneous group"). (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), HR, p. 5.)

"The final step of the calculation of the weights was the calculation of the calibration factors. 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" waz. It means that both household and individual external information used in a single-shot calibration ar 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 the Population estimates of Republic of Croatia 2021 released by CBS." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), HR, p. 5.)

National Institute of Statistics

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), RO, p.9.)

Starting with 2015, the household surveys carried out by NSI-Romania are based on the use of Multifunctional Sample of Territorial Areas, so called the master sample new EMZOT. It is a database including approximately 1.500.000 dwellings, selected according to probabilistic criteria, serving as sampling frame for all household surveys, in 2015-2024.

• Probability
• systematic
• stratified
• multi-stage

Census enumeration units

Dwellings

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), RO, p.2.)

"The PSUs were sampled with probability proportional to the size (number of permanent dwellings). The new EMZOT sample has 450 PSUs selected from urban area and 342 PSUs selected from rural area. In the second stage, a fix number of dwellings are systematically selected from each PSU of EMZOT." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), RO, p. 2.)

4

-

-

Survey

• 100 % CAPI

Household

Inverse of Selection Probability

"The non-response are not globally adjusted, at the entire sample level, but separately-at wave level, on groups of households, groups generated by the variables considered as explicative of the non response. This correspond to the so-called 'response-homogenous 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 non-response region (NUTS II level) and area of residence (urban / rural) and for the second, third and fourth wave - the region." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), RO, p. 4.)

"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; 3544; 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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), RO, p.4.)

Hungarian Central Statistical Office

"private housholds living in the territory of Hungary" (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), HU, p. 1.)

list of occupied dwelling units in census 2011 dataset

• Probability
• random
• stratified
• multi-stage

Localities

Households

"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.
Stratification and sub stratification criteria
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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), HU, p. 2.)

"At stage 1 localities were selected with pps without replacement. At stage 2 households within each strata were selected with srs without replacement." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), HU, p. 2.)

4

02.02.2021

11.04.2021

Survey

• 30 % CAPI
• 60.5 % CATI
• 9.5 % Websurvey

>"Weighting classes were defined by NUTS2 regions, category of size of localities and household strata." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), HU, p. 3.)

"By definition design weight is the reciprocal of the inclusion probability. However, thanks to the fact that three rotational groups still have a rather complex sample design and selection scheme, only an approximation of design weight was calculated. Weighting classes were defined by NUTS2 regions, category of size of localities and household strata. Within each weighting classes the 'design' weight is equal to the ratio of the overall number of households to the number of selected households." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), HU, p. 3.)

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), HU, p. 3.)

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), HU, p. 3.)

Institut National des Statistiques at des Etudes Economiques (INSEE)

"The reference population for the survey is comprised of all ordinary households (excluding institutions) for which the primary residence is located in metropolitan France (excluding overseas departments)." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), FR, p. 2.)

Nautile Master Sample

• Probability
• systematic
• stratified
• multi-stage

Census enumeration units

Dwellings

"regional stratification" (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), FR, p. 2.)

4

-

-

Survey

• 100 % CATI

29.8 %

Dwellings

Inverse of Selection Probability; household design weight DB080

See (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), FR, Annex 5 - Weighting Procedure.)

"The survey data are calibrated on the basis of two types of margin. On the one hand, socio-demographic margins from the n-1 Emploi (Labour Force) survey to provide a cross-sectional representation of the French population. On the other hand, total income margins concerning the main sources of income of the French and income vigintile margins taken from FILOSOFI. At INSEE, all of the household surveys collected during calendar year N are calibrated on the basis of the most recent Emploi survey available at the start of year N, or using the margins established on the basis of the 4 quarterly Emploi surveys conducted in year N-1.

Calibration took place in R using the Icarus package. The input weights are those established by means of weight sharing. We used the “logit” distance function.

The variables and modalities introduced during calibration are as follows:

• Age cross-referenced with gender in 12 modalities (6 x 2)
• Educational level in 4 modalities
• Residential area in 3 modalities
• Socio-professional category in 7 modalities
• French nationality indicator in 2 modalities
• Indicator for living in a Priority Neighbourhood in 2 modalities
• Indicator for living in a single-person household in 2 modalities
• Total financial income
• Total property income
• Total wages
• Total pensions
• Total self-employed income
• Total unemployment benefits
• Total income taxes.
• The income vigintiles available on FILOSOFI" (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), FR, Annex 5 - Weighting Procedure.)

(null)

National Statistical Institute

"All citizens officially living at Bulgarian territory (population de facto). Persons living in collective households and in institutions are excluded from the target population." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BG, p. 13.)

Population Census 2011

• Probability
• systematic
• stratified
• multi-stage

Census enumeration units

Households

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BG, pp. 3-4.)

"The number of census enumeration units (PSU) is calculated for each strata included in the sample. The clusters on the first stage are chosen with probability proportion to population size (number of households) in the PSUs. Systematic sampling of secondary units (households) in each primary unit selected is applied. Each PSU contains 5 households." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BG, p. 4.)

6

-

-

Survey

• 100 % CAPI

20.6 %

"The weighting procedure consists of the following steps: First, calculation of design weights which represent the inverse of the inclusion probabilities of the sample units. According to the country specifics the sample is stratified to 56 strata by NUTS 3 (28 regions) and location (town/village). Second, adjustment for non-response. The procedure used is “weighting classes”. The classes are defined by the sampling design strata because of the limited information available for non-responding households. The final step is calibration of the non-response weights to population totals for the new rotation group (the result is base weights RB060).

Calibration is done using the SAS Macro Calmar 2. The main source for calibration totals is the Information System “Demography”. Another source of information is the 2011 Population Census database and data on the split-off households from the SILC survey.

The weighting procedure for the previous 5 rotation groups consists of the following steps: The base weights RB060 were adjusted for non-response at individual level. On the basis of a logistic regression the weights of the enumerated persons were adjusted with the probability of following up to obtain RB060 for 2021. This was applied for each rotation group separately. After that RB060 for each of the 5 rotation groups were calibrated separately to the population as of 31.12.2020 the same way as for the new rotation group.

To combine all sub-samples (the 6 rotation groups) all weights were multiplied with a scaling factor of 1/6 and the weights were calibrated to the population as of 31.12.2020 using variables at individual and at household level.

Detailed information on the weighting procedures is included in Annex 5." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BG, p. 5)

Statistics Belgium

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BE, p. 9.)

Central Population Register of 30 November 2019, [which] is updated two times during a month [and] includes all private households and their current members residing in the territory.

• Probability
• systematic
• stratified
• multi-stage

Municipality

Households

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BE, p. 3.)

"In each stratum, the PSUs in the frame are first descendingly sorted by average income; next, a fixed number of times a PSU is drawn according to a systematic PPS (probability proportional to size) selection scheme, where size is measured as the number of private households. This systematic sampling method generally causes some PSUs being selected repeatedly (e.g. Schaerbeek, a rather large municipality in stratum BE10, turns out to be drawn 6 times). In total, i.e. in all 11 sampling strata together, 275 PSU draws were made in 2004, once and for all (i.e. for the whole duration of EUSILC). According to each single PSU draw, a group (generally of fixed size) of households is selected in this [second] stage; notice that a group of households corresponds to each PSU draw." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BE, p. 3.)

4

-

-

Register,Survey

• 100 % CATI

0 %

See Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BE, Annex 5.

Statistisches Bundesamt (Destatis)

"All persons living in a private household at main residence. Those households include at least one person at the age of 16 or older and being registered at the main place of residence at the sampled adress." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), DE, p. 1.)

German Census of 2011

• Probability
• stratified
• one stage

Not used

"The addresses were stratified by a combination of technical (building size classes) and regional (districts/counties or summaries of districts) information. Based on the stratification, addresses were clustered into artificially delimited areas (selection areas; in German called "Auswahlbezirke") that consists of around 9 dwellings or respectively 15 persons." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), DE, p. 2.)

"The German EU-SILC sample corresponds to a one stage cluster sample consisting of four rotation groups with one quarter leaving the sample every year and another one joining. [...] Based on the specification of the census, like clustering, the selected units were sampled and all sampling information, including rotation group allocation, was determined. Due to legislation only 20% of the sampling frame was stored. Based on the determined sampling variables, the sample districts were assigned to Microcensus and SILC-subsample. These variables are assigned as random numbers by permutation and are used to delimit the annual sample of the Microcensus, the rotation groups a s well as the disjoint subsamples like SILC." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), DE, p. 2.)

4

-

-

Survey

• 0.6 % CAPI
• 14.1 % CATI
• 35 % PAPI
• 50.3 % Websurvey

23.7 %

"Sampling units of German EU-SILC are areas (clusters). Every household in the sampled area is mandatory to participate in the survey. Inclusion probabilities are calculated for areas instead of households and are the same for every household in a nuts-2 region." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), DE, p. 3.)

"Due to technical restrictions in 2020 (start of new system, COVID-19 crisis), information on the gross sample was missing. This had impact also on data 2021. Using microcensus data 2019 the marginal distribution of the gross sample 2021 was estimated. The net sample was calibrated to the estimated gross sample and the inverse of received weights correspond to the non-response probability." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), DE, p. 3.)

"First phase: Calibration of Microcensus core to updated popuation data (age, sex, nationality) by General regression estimation (GREG). The results weights are used for the calculation of the reference-data. Second phase: Adjustment of EU-SILC survey to the weighted core (using GREG). Adjustment of the SILC subsample considers marginal distribution of following characteristics: size of household, type of household, monthly household net income, age, sex, nationality, educational level, main status. Adjustment considers NUTS-0, NUTS-1 and NUTS-2 level." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), DE, p. 3.)

Statistics Denmark

"Private households and all persons comprising these households having their usual residence in Denmark" (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), DK, p. 2.)

The Central Personal register (CPR)

• Probability
• random
• stratified
• multi-stage

Addresses

Individuals

"The sample has
been stratified at the NUTS2-level and by income." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), DK, p. 3.)

-

-

Register,Survey

• 16.9 % CATI
• 83.1 % Websurvey

1.7 %

“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 (within 7 intervals)
income groups (above median; 60 pct. of median to median; under 60 percent of median).

See annex on calibration for a more detailed description.
Prior to 2016 there was less focus on NUTS2 in the calibration.
From 2011 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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), DK, pp. 4-5.)

Statistics Finland

"Private households and allthe persons composing the private household and who are usually (= permanently) resident in finland. Persons living in institutions, in collective households or in residential homes have been excluded." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), FI, p. 2.)

The Population Information System of the Digital and Population Data Services Agency (DVV)

• Probability
• systematic
• stratified
• multi-stage

Individuals

Dwellings

"Socio-economic groups (12 groups) categorized by income class." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), FI, p. 4.)

"In the first phase, a master sample of persons (50,000, exceptionally 100,000 in 2016,02019 and 2021) is selected with systematic sampling from the total frame. The second phase: the sample of persons (5,000) with their household-dwelling units is selected from the stratified master sample within every stratum using non-proportional allocation with different selection probabilities between strata." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), FI, pp. 3-4.)

4

-

-

Register,Survey

• 0.4 % CAPI
• 99.6 % CATI

See Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), FI, Annex 5.

Central Statistics Office

"The target population is private households and all persons composing these households having their usual residence on the Member State." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), IE, p. 4.)

• Probability
• random
• stratified
• multi-stage

Census enumeration units

Households

see (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), IE, p. 5.)

5

-

-

Register,Survey

• 100 % CATI

33.7 %

See Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), IE, Annex 5.

Statistics Austria

"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. There is no difference to the standard EU-SILC concept." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), AT, p. 2.)

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

• Probability
• systematic
• stratified
• one stage

Dwellings

Not used

"The first wave sample of EU-SILC 2021 is a one-stage stratified probability sample. The sample of the first wave was stratified according to 18 strata that where comprised of the 9 Austrian provinces (NUTS 2 units) subdivided into 2 groups that were defined by an estimation of the main indicator "at risk of poverty or social exclusion" (AROPE)." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), AT, p. 4.)

"The first wave sampling process was carried out according to a stratified one-stage probabilty sample with systematic sample selection without replacement and disproportional allociation. [...] The number of selected households was determined as approximately 0.1% of all eligible addresses. The starting point in the development of the first wave sample was a proportional allocation by province. [...] For provinces with comparatively low response rates an oversample was applied and for provinces with comparatively high response rates an undersample was carried out. So the resulting sample selection scheme facilitated a disproportional allocation in order to compensate for different response rates in different provinces." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), AT, p. 4.)

4

-

-

Survey

• 52.5 % CAPI
• 47.5 % CATI

8.2 %

see Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), AT.Annex 5 - Cross-sectional and longitudinal weighting procedure of EU-SILC 2021.

Czech Statistical Office

"The Reference population, Private household definition [and] Household membership [are] fully comparable [with the EU-SILC target population]." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CZ, p. 2.)

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

• Probability
• stratified
• multi-stage

Census enumeration units

Dwellings

"The sampling of CEUs is stratified by region (NUTS4) and municipality size." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CZ, p. 2.)

"In the first stage, CEUs were sampled with probability proportional to size (number of dwellings). Simple random sampling without replacement is used for sampling of constant number of 10 dwellings in each sampled CEU." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CZ, p. 2.)

4

-

-

Survey

• 11.6 % CAPI
• 44.6 % CATI
• 43.8 % PAPI

29.7 %

See Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CZ, Annex 5 - Weighting Procedure.

Statistical Service of Cyprus (CYSTAT)

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CY, p. 2.)

2011 Census of Population [...] with a supplementary list of newly constructed houses (build after 2011 up to September 2020) [...] provided by the Electricity Authority of Cyprus (E.A.C.)

• Probability
• random
• stratified
• one stage

Households

Not used

"9 strata based on district (urban / rural): Lefkosia, Ammochostos, Larnaka, Lemesos, Pafos. For Ammochostos, there are no urban households." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CY, p. 3.)

4

01.02.2021

27.08.2021

Register,Survey

• 0.7 % CAPI
• 99.3 % CATI

Household

Inverse of Selection Probability; household design weight DB080

"The empirical response rate within each stratum provides an estimate of the response probability for all the households of the stratum. The weight of a household after correction for the non-response at the household level is: DB080i . 1/pi; DB080i = the design weight of a household in stratum i before non-response adjustment, pi = the estimated response probability of the household in stratum i."(Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CY. Annex - Weighting, C & L, 2021. p. 2.)

"Eurostat recommends an "integrative" calibration. The idea is to use calibration variables defined at both household and individual level. 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. 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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CY. Annex - Weighting, C & L, 2021. p. 2.)

Statistic Sweden

"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." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), SE, p.2.)

The Total Population Register (TPR) [which] receives daily updates on births, deaths, changes in marital status, and changes in citizenship, national migration, immigration and emigration from the Tax Authorities.

• Probability
• random
• stratified
• one stage

Individuals

Not used

"From 2021 and onwards, the sampling design for new panel samples is stratifies systematic sampling, in which stratification is with respect to NUTS2 regions and where the sampling frame is ordered by sex and age." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), SE, p.4.)

4

-

-

Register,Survey

• 100 % CATI

See Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), SE, Annex 5 - Weighting Procedure.

The Statistical office of the Republic of Slovenia

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), SI, p. 2.)

Central Register of Population (CRP), which is linked to the Register of Territorial Units

• Probability
• systematic
• stratified
• multi-stage

Census enumeration units

Individuals

"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 [...] When selecting the primary sampling units, explicit stratification according to the type of settlement was used (6 strata). Since we wanted to maintain regional representativeness, implicit stratification according to the statistical region was applied. It means that the list of units within strata was sorted according to statistical regions. In Slovenia there are 12 statistical (NUTS3) regions." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), SI, p. 3.)

"The sampling frame was divided into 6 strata and each stratum was sorted by 12 statistical regions. This way we implicitly stratified the sample also by statistical region. Persons aged 16 years were oversampled. In each sampling unit, persons aged 16 years and others were separately selected." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), SI, p. 3.)

4

-

-

Register,Survey

• 100 % CATI

See Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), SI.

-

-

National Statistics Office

"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." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), MT, p. 11.)

database based on the 2011 Census of Population & Housing that is held and maintained by NSO through annual updates

• Probability
• random
• not stratified
• one stage

Households

Not used

4

-

-

Register,Survey

• 0.4 % CAPI
• 99.6 % CATI

11.2 %

See Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), MT, Annex 8

-

-

(null)

• 100 % CATI

-

-

-

-

-

-

National Statistics Institute (INE-Spain)

"The target population is private households and all persons composing these households having their usual residence in the Member state." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), ES, p. 2.)

List of census sections used in the Municipal Register (population register) [from] the Register dated 01.01.2021.

• Probability
• systematic
• stratified
• multi-stage

Census enumeration units

Addresses

"In each Autonomous Community [self-ruling region], first-stage units were stratified by the size of the municipality to which the census section belonged." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), ES, p. 3.)

"To achieve the survey objective of producing acceptably reliable estimates at both the national and at the Autonomous Community (regional) level, we selected, in the new sub-sample, a sample of 12,000 addresses spread over 1000 census sections. We distributed the sample across Autonomous Communities by allocating one part uniformly and another part in proportion to Autonomous Community size. The uniform part accounted for about 40% of sections. In the new sub-sample, census sections were selected in each stratum by a probability in proportion to size (family dwellings). In each section, addresses were selected with equal probability by systematic sampling initiated at random. This procedure produces self-weighted samples in each stratum." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), ES, p. 3.)

4

01.07.2021

01.12.2021

Survey

• 7.4 % CAPI
• 54.3 % CATI

34.5 %

Household

See (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), ES. Annex 5 - Weighting Procedure. p. 1.)

"We adjust for non-response by multiplying the above [design] factor by [the initial number of addresses in stratum h in rotational group t divided by the actual number of addresses in stratum h and rotational group t] to provide an estimate of the inverse probability of response in the stratum." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), ES. Annex 5 - Weighting Procedure. p. 2.)

"Using projected population as at the time of the survey as an auxiliary variable, we obtained a separate ratio estimator the chief purpose of which was to enhance the estimate produced by the previous steps by bringing the population figure at the time of sample selection up to date to the time of survey performance. The population figure used refers to 15 February of the current year. [This] factor is weighted to adjust estimated distribution to the population distribution by Autonomous Community, age group and gender provided by the Demographic Projections Unit. For the calibration we used the CALMAR macro designed by the French Institut National de Statistique et Études Economiques (INSEE). We opted for the truncated Logit method with values LO=0.1, UP=10. We considered the following twenty-two groups: Males and females aged 0-15, 16-19, 20-24, 25-34, 35-44, 45-49, 50-54, 55-59, 60-64, 65-74, 75 years and over. Household distribution by size was: households of 1, 2, 3 or 4 or more members. In Ceuta and Melilla adjustment groups were fewer because of the small sample size. Specifically, household distribution was not adjusted, and we only considered the following age and gender groups: males and females aged 0-15, 16-24, 25-49, 50-64, 65-74, 75 years and over." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), ES. Annex 2 - Weighting Procedure. pp. 2-3.)

Statistics Netherlands

"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 (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), NL, p. 2.)

Dutch Population Register

• Probability
• random
• stratified
• one stage

Households

Not used

"21 strata defined on the basis of household income, age and number of household members belonging to the target population: ten deciles of the equivalised household income; the number of household members aged 16 or over, two classes: 1, >1; age, two classes: 16, >16." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), NL, p. 3.)

5

01.03.2021

01.09.2021

Register,Survey

• 22.0 % CATI
• 78.0 % Websurvey

Household

Inverse of Selection Probability; household design weight DB080

See (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), NL, Annex 5.)

See (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), NL, Annex 5.)

Statistics Estonia

"No divergence from the common definition [except] Persons living in collective households are included in the reference population." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), EE, p. 11.)

Statistical Population Register of Estonia

• Probability
• systematic
• stratified
• one stage

Households

Not used

4

-

-

Survey

• 86.6 % CATI
• 13.4 % Websurvey

16.4 %

Household

Inverse of Selection Probability

"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. For replications (sub-samples S2, S3, S4) personal base weights of 2021 are corrected for attrition. Correction for attrition was done with the help of logistic regression model with several auxiliary variables taken from last interview. Persons and households no longer in scope in 2021 were excluded prior to the correction as they are not considered as non-response. With the logistic model the response probability ri of a person i for year 2021, given he/she had responded in 2017, was estimated. Correction for non-response for replications is done on person-level, i.e. corrected weights of persons within one household no longer need to be constant. For sub-samples S3 and S4 also a correction for returnees was made. " (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), EE. Annex - Weighting. p. 2.)

"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)."

(Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), EE. Annex - Weighting. pp. 2-3.)

(null)

Hellenic Statistical Authority (ELSTAT)

"The reference population is all citizens officially living at Greek territorry (population de facto). Persons living in collective households and in institutions are generally excluded from the target population." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), EL, p. 3.)

2011 Population Census

• Probability
• systematic
• stratified
• multi-stage

Area units

Households

"two levels of area stratification of the target population: The first level is the geographical stratification based on the partition of the total country area into thirteen standard administrative regions, corresponding to the European NUTS2 level. The two former major city agglomerations of Greater Athens and Greater Thessalonica constitute separate major geographical strata. The second level of stratification entails grouping Municipal/Local communes within Region by degree of urbanization, i.e., according to their population size. The scaling of urbanization was finally designed in four groups. The number of the final strata in the thirteen (13) Regions is 50. The former Greater Athens Area was divided into 31 strata on the basis of the lists of city blocks of the Municipalities that constitute it and taking into consideration socio-economic criteria. Similarly, the former Greater Thessaloniki Area was divided into 9 strata. The two Major former City Agglomerations account for about 39,1% of total population and for even larger percentages in certain socio-economic variables. Thus, the total number of final strata of the survey is 90." (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), EL, p. 4.)

4

01.05.2021

01.11.2021

Survey

• 39.9 % CATI
• 60.1 % PAPI

6.3 %

Household

Inverse of Selection Probability

"inverse of the response rate" (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), EL, p. 7.)

See (Eurostat (2021). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), EL, p. 7.)