Central Statistical Bureau of Latvia

"Persons living in private households within national territory were the reference population of the EU-SILC survey." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), LV, p. 11.)

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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), LV, p. 4.)

4

02-2017

06-2017

Register,Survey

• 68.2 % CAPI
• 23.1 % CATI
• 1.1 % PAPI
• 7.6 % Websurvey

21.1 %

see Eurostat: 2017 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI) LV. Annex Weighting L.

STATEC, Institut national de la statistique et des 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 2017, 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.)" (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LU, p. 6-7.)

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

• Probability
• random
• stratified
• one stage

Individuals

Not used

"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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LU, p. 2.)

4

01-2017

10-2017

Survey

• 100 % CAPI

27.1 %

See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LU, Annex 6.

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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LT, p. 6.)

Residents’ Register [which] is updated regularly.

• Probability
• systematic
• 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 (2018). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), LT, p. 2.)

4

01-2017

05-2017

Register,Survey

• 13.7 % CAPI
• 57.5 % CATI
• 23.9 % PAPI
• 0.2 % Self-administered
• 4.7 % Websurvey

25.8 %

See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), LT, Annex 5.

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." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 10.)

2011 Census data

• Probability
• systematic
• stratified
• multi-stage

Area units

Dwellings

"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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 3.)

4

01-03-2018

15-06-2018

Survey

• 100 % CAPI

40.1 %

Household

Inverse of Selection Probability

"[...] 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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 4.)

"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’ 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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HR, p. 4.)

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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p.15.)

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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p.2.)

"For the wave 1, wave 2 and wave3 (subsample selected in 2015, 2016 and 2017), a master sample database named “new EMZOT” is used. In the first stage, a stratified random sample of 792 areas, Primary Sampling Units (PSUs), was designed after the 2011 Population and Dwelling Census. 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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p.2.)

4

08-05-2017

26-05-2017

Survey

• 100 % PAPI

10.1 %

Household

Inverse of Selection Probability

"In order to contra balance the non-respondent households, it is proceed at a re-weighting, by adjusting the weights of the respondent households with the inverse of the response rate. 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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p.8.)

"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.djustment is done: re­weighting by calibration of the weights." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RO, p.8.)

Statistics Norway

"Persons aged 16 years or more at December 31 N-1 who are living outside an institution." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NO, p. 9.)

central population register called BEREG [which] is daily updated with information from local population register offices

• Probability
• random
• stratified
• one stage

Individuals

Not used

"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." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NO, p. 3.)

4

02-01-2017

30-06-2017

See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NO, Annex 4 - Weighting Procedure.

Hungarian Central Statistical Office

Private households living in the territory of Hungary

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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU, p. 2.)

4

03-2017

05-2017

Survey

• 93.2 % CAPI
• 6.8 % Websurvey

12.8 %

Household

"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 then ratio of the overall number of households to the number of selected households." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU, p. 4.)

"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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU, p. 4-5.)

"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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), HU, p. 4-5.)

-

-

Survey

• 100.0 % CAPI

24.3 %

National Statistical Institute

"The EU-SILC target population consists of all private households and their current members residing in the country. Persons living in collective households and in institutions are generally excluded from the target population." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 12.

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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 3.)

6

03-2017

05-2017

Survey

• 77.8 % CAPI
• 22.2 % PAPI

23.3 %

Household

Inverse of Selection Probability; household design weight DB080

"The weights of the responding households should be adjusted to reproduce all households in the country for 2017. 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. [...] To adjust for non-response first all persons from the 2016 register (DB135 = 1 & RB110 in (1,2,3,4)) who were followed up in 2017 were marked as responding (current members of the household). Persons who have left the household between the two survey waves (2016 and 2017) were marked as nonresponding. A logistic regression was used to calculate the probability for each individual to be enumerated between 2016 and 2017. The weights of the enumerated persons were adjusted with the probability of following up (result of logistic regression) and thus the base weights (RB060) for 2017 were get. The model was applied for each rotation group separately." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 4.)

"After the non-response adjustment procedures each of the 5 rotation groups was calibrated separately to the population as of 31.12.2016 according to the method described above. The following variables on individual and household level were used for calibration: Individual level: Age*Gender*Location 56 groups (14 age groups)* (male female)*(town, village); Districts*Gender*Location : 112 groups; Number of pensioners: 3 groups. Household level: Number of households: 2 groups (town, village). [...]." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG, p. 4.)

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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BE, p. 13.)

Central Population Register of 1 February, [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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BE, p. 3.)

4

-

-

Survey

• 100.0 % CAPI

8.5 %

Household

"P (x drawn) = P(x drawn|X drawn) . P(X drawn) = mh/MX . NX/Nh . gh, where mh is the number of households to be drawn in the (selected) PSU (depending on h). Stratum h: x denoting any households in municipality X. MX is the number of households in the PSU (in 2018). The factor NX/MX indicates the increase-decrease in inclusion probabilities in PSU X (still assuming X has been drawn) between 2017 and 2004." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BE, p. 5.)

"[...] 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. The regression produced a new variable “expresp”, allowing us to define -NRwei = INIwei/expresp" (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BE, p. 5.)

"We elected to perform this correction at the level of individuals, since a 2016 sample person either stays in the panel or leaves it (rotated out, left population, noncontact, refusal or inability to respond, while the structure of a household can change. Note that all household characteristics (e.g. HH021) can be distributed to the members. We separated the “Children” (for which only basic personal information from the R-file and the distributed H-file is available) from the “Adults” (present in the 2016 P-file as well), i.e. those persons born in 1999 or before. In the children’s model, the following predictors (all, except the last, from the 2015 file – although this does not matter much for group A) were used, grouped by type : - individual demographic information: age from RB080, sex = RB090, - housing information: dwelling type = HH010 and tenure = HH020 - household type: a limited number of dummies, as there is at least one dependent child; - monetary indicators: we refrained from taking the equivalised income (outliers), but took a transform of it, as well as the dummy “poor or not” and the subjective ability to make ends meet = HS120 - sampling and rotation: number of years in panel (from DB075) and urbanisation (=DB100) - one variable (paradata) related to fieldwork in 2016 (computed from HB040 and HB050) For the adults, the same predictors were used, and moreover: - variables from the P-file (related to education level and health); - country of birth (dummy Belgium Yes/No) were integrated. We used logistic regression." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BE, p. 5.)

Statistisches Bundesamt

"All private households and their current members at their main residence in Germany" (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DE, p. 9.)

Access panel (DSP) containing former participants of the microcensus

• Probability
• stratified

Households

Not used

"Stratification and sub stratification criteria: Land (federal state), Household type, Social status of the main income earner, Household net income, Farm household (separate stratum for each federal state)." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DE, pp. 2-3.)

4

04-2017

09-2017

Survey

• 100.0 % Self-administered

16.9 %

Household

"The design factor is calculated as a combination of the following items: probability to be in the 4th rotational quarter of the microcensus; participation probability to take part in the DSP (estimated by logistic regression); probability to remain in the DSP (product of the yearly probability to remain in the DSP that is estimated by logistic regression); selection probability for EU-SILC. " (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DE, p. 5.)

"The basis for the sampling of the random sub samples is the access panel DSP." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DE, p. 5.)

"The marginal distiribution of the micro census was used for the adaptation process. For the household weight (DB090) (and as such automatically for the individual weight of the total population: RB050) we used the marginal distribution of the following characteristics: monthly household net income, household type, household size, age, sex. For the personal weight PB040 (population ’16 years or over’) we used the marginal distribution of the following characteristics: age, sex, family status, social status, education level (low/medium, high), household type, nationality. For the weight RL070 (children) we used the marginal distribution of the following characteristics: age, sex." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DE, p. 5.)

Statistics Denmark

"People residing in private households residing in Denmark at the time of the interview (spring 2017)." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DK, p. 7.)

The Central Personal register (CPR)

• Probability
• stratified
• multi-stage

Addresses

Individuals

"The sample has been stratified at the NUTS2-level." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DK, p. 2.)

"From 2016 the Danish sample is a two-stage sample. First the adresses are selected, secondly a person above the age of 13 living registered at the adress is selected to be the selected Respondent. [..] The selected respondent is in most cases the respondent of the household questionnaire. The only exception is the case, where the selected person is under 25 years old and has parents living at the address. In this case, one of the parents has been selected to represent the household and the selected person (the household respondent)." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), DK, p. 2.)

03-2017

06-2017

Register,Survey

• 25.9 % Self-administered
• 74.1 % Websurvey

4.6 %

Statistics Finland

"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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, p. 12.)

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

• Probability
• systematic
• stratified
• multi-stage

Individuals

Dwellings

"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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, p. 3.)

4

01-2017

05-2017

Register,Survey

• 1.8 % CAPI
• 98.2 % CATI

11.7 %

See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), FI, Annex 8.

-

-

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." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, p. 7.)

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

• Probability
• stratified
• one stage

Dwellings

Not used

"The first wave sample of EU-SILC 2017 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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT, p. 2.)

4

02-2017

07-2017

Survey

• 54.2 % CAPI
• 45.8 % CATI

6.9 %

See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), AT. Annex 5 - Cross-sectional and longitudinal weighting procedure of EU-SILC 2017. 

Czech Statistical Office

"The Reference population, Private household definition [and] Household membership [are] fully comparable [with the EU-SILC target population]." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CZ, p.9 .)

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

• Probability
• random
• stratified
• multi-stage

Census enumeration units

Dwellings

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

4

04-02-2017

14-05-2017

Survey

• 47.8 % CAPI
• 52.2 % PAPI

29.3 %

Dwellings

"The sample was designed as a self-weighting sample within the region. Due to the exact numbers of CEUs, the design factor for all sampled dwellings is in the range of 0.94 to 1.09. The CEU are determined to keep the self-weighting principle as much as possible." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CZ, p. 5.)

"[...] 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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CZ, p. 5.)

"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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CZ, p. 5.)

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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY, p. 10.)

2011 Census of Population [...] with a supplementary list of newly constructed houses (build after 2011 up to September 2016) [...] provided by the Electricity Authority of Cyprus (E.A.C.)

• Probability
• random
• stratified
• one stage

Households

Not used

9 strata allocated by district and type of the household (urban / rural): Lefkosia, Ammochostos, Larnaka, Lemesos, Pafos. For Ammochostos, there are no urban households (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY, p. 4.)

4

13-02-2017

20-06-2017

Register,Survey

• 84.1 % CAPI
• 15.9 % CATI

12.3 %

See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CY. Annex 2 - Weighting procedure.

Statistic Sweden

"The reference 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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SE, p.5.)

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

"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." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SE, p.2.)

4

01-2017

11-2017

Register,Survey

• 0.1 % CAPI
• 99.9 % CATI

1.7 %

See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SE, Annex 3 - Weighting Procedure.

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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p.14.)

Central Register of Population (CRP), which is linked to the Register of Territorial Units. The sampling frame constitutes persons aged 16 years or more on 31st of December 2016.

• 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. 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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p.3.)

4

01-2017

06-2017

Register,Survey

• 53.5 % CAPI
• 46.5 % CATI

23.9 %

Individual

"The sampling weight for the sample person PB070 is inversely proportional to the probability of selection and the weight is calculated when the person is selected in the sample. For the persons that were in the sample also in the previous year, the sampling weight is taken from the previous year, yet the sampling weights are to be calculated just for the persons that are new in the sample. Since the PPS 2-stage sampling was used, the sampling weight for the selected person in the particular stratum (), can simple be calculated as, where is the stratum number of the persons in the sampling frame and is the stratum number of the persons in the sample. The sampling weight of the household of the selected person: DB080
Since SURS doesn’t yet owns a household register that could be used for sampling purposes, the selection of the households is done through the selection of the persons. Since households with more persons aged 16 years or more have a larger probability of selection then smaller households, this has to be corrected with weighting in such way that all households have equal probability of being selected in the sample. Thus the probability of selection of the household is equal to the probability of selection of the person divided by the number of eligible persons (aged 16+) in the household M." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p.8.)

"The non-response factor was calculated for each stratum. First the sample was divided into three categories: responses, nonresponses and out-ofscope 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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p.8.)

"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 on the level of households, as well as on the level of the persons.
For the calibration we used:
1. for households:

• Family and children related allowance (HY050) from the administrative source for family and children related allowances

2. for persons:

• Sex- age classes distribution from the Central Register of Population
• Employee cash or near cash income minus sickness benefits from the administrative source for incomes
• Pensions from the administrative sources for pensions
• Unemployment benefits (PY090) from the administrative source for unemployment benefits
• Education related allowances from the admnistrative source about scholarships"

(Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SI, p.8.)

Statistical Office of the Slovak Republic

"The Reference population, Private household definition [and] Household membership [are] fully comparable [with the EU-SILC target population]." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, p.9 .)

2011 Population and Housing Census (acronym - SODB)

• Probability
• random
• stratified
• multi-stage

Households

Not used

"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) Totally 48 final strata were created (variable DB050) by using of those two stratification criteria." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, p.3.)

4

10-04-2017

29-05-2017

Survey

• 98.9 % PAPI
• 1.1 % Self-administered

15.9 %

Household

"The sample was designed as a selfweighting sample. Design factor for all sampled dwellings is equal to 1." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, pp. 3-4.)

"The reduction of weight deviation caused by households that had been contacted (DB120=11); however refused the interview (DB135=2), was solved by the correction of weights in relation to the response rate. The probability of response of each household is not known. 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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, pp. 3-4.)

"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. Calculation of the personal crosssectional weights RB050ki0 - has been implemented by system of simple calibration of weights of household members by using of calibration variables numbers of persons by aged groups and sex in the administration regions." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), SK, pp. 3-4.)

-

-

Household Finance Survey (SLC & Living Costs and Food Survey)

Office for National Statistics

"The reference population for the Household Finance Survey (combination of Living Costs and Food Survey and Survey on Living Conditions) is all private households in the UK." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 9.)

Postcode Address File

• Probability
• systematic
• stratified
• multi-stage

Postecode sectors

Addresses

"HFS in Great Britain initially sample postcode sectors. The Great Britain HFS samples 1,340 postcode sectors. Each sector is known as a Primary Sampling Unit (PSU). The PSUs are stratified by 39 regions. The PSUs are then sorted by two other variables, which are described below, providing an implicit stratification. [...] For the HFS, within each region the postcode sectors are ordered and grouped into eight equal bands using the proportion of households where the household reference person (HRP) is in National Statistics Socio-Economic Classification (NS-SEC) 1 to 3. Within each of these eight bands, the PSUs are ordered according to the proportion of households with no car. This set of stratifiers is chosen to have maximum effectiveness on the accuracy of two key variables: household income and housing costs." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 2.)

01-2017

02-2018

Survey

• 100 % CAPI

16.8 %

"The design weight for a household is calculated as the inverse of the inclusion probability for the sample’s address." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 4.)

"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." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 4.)

"The grossing regime for Great Britain aims to calibrate population estimates derived from EU SILC data against three different variables, summarised in the table below." Individuals (Age, sex and region); Employment Status; Number of Households (Region) (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 4.)

"Final cross-sectional weights are calculated using the CALMAR package, using its logit method. CALMAR is run separately for GB and for NI. The lower and upper bounds for GB were 0.5 and 2.6. The lower and upper bounds for NI were 0.7 and 2.7. The initial weights are the number of households found at the selected address." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), UK, p. 4.)

Italian National Institute of Statistics -Socio-economic Statistics Directorate

All persons living in private households.

LAC (Liste Anagrafiche Comunali, i.e. the Italian acronym for lists of municipal registry) which represent the population at the end of the income reference period.

• Probability
• systematic
• stratified
• multi-stage

Municipality

Households

"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 selfweighting 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.)

4

04-2017

09-2017

Survey

• 40.7 % CAPI
• 59.3 % CATI

14.4 %

See Eurostat: National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), IT, Annex 4.

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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), MT, p. 9.)

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

05-2017

10-2017

Survey

See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), MT, Annex 7.

Central Statistical Office of Poland

"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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, p. 12.)

Domestic Territorial Division Register (the TERYT system)

• Probability
• systematic
• stratified
• multi-stage

Census enumeration units

Dwellings

"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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, p. 3.)

4

04-2017

05-2017

Survey

• 79.7 % CAPI
• 20.3 % PAPI

27.2 %

Household

Inverse of Selection Probability; household design weight DB080

"See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, pp. 4-5.

"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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), PL, p. 4.)

-

-

Survey

• 100.0 % CAPI

36.0 %

Statistical Office of the Republic of Serbia

"The reference population of EU-SILC is all private households and their current members residing in the territory of the Republic of Serbia (RS) (excluding the territory of Kosovo i Metohija) at the time of data collection. Persons living in collective households and in institutions are excluded from the target Population." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RS, p.6.)

Population Census 2011

• Probability
• random
• stratified
• multi-stage

Census enumeration units

Households

"Stratification was done according to the type of settlement (urban and other) in four Regions (Belgrade, Vojvodina, Sumadija and Western Serbia and Southern and Eastern Serbia)." (Eurostat (2018). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), RS, p.2.)

"Primary sampling units (enumeration districts), were selected systematically with probability proportional to size within each stratum. Size measure for each ED was number of households, according to the Census 2011. Second stage units, households were selected randomly with equal probabilities." (Eurostat (2018). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), RS, p.2.)

4

05-2017

07-2017

See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), RS, Annex 5 - Weighting Procedure.

Federal Department of Home Affairs FDHA Federal Statistics Office FSO

All individuals aged 16 or over are interviewed. Non-permanent residents living in a household with at least one permanent resident are also included.

SRPH survey frame

• Probability
• stratified
• multi-stage

Households

Not used

The seven major geographical regions (level NUTS2)

4

01-2017

06-2017

Survey

• 0.2 % CAPI
• 99.8 % CATI

4 %

See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), CH, Annex 17.

National Statistics Institute (INE-Spain)

"The target population was members of private households residing at main family addresses, and the households themselves." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), ES, p. 7.)

List of census sections used in the Municipal Register (population register) [from] the Register dated 01.01.2016.

• 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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), ES, p. 2.)

4

03-2017

07-2017

Survey

• 84.7 % CAPI
• 15.3 % CATI

10.7 %

See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), ES. Annex 5 - Weighting Procedure.

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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, p. 7.)

Dutch Population register (Basisregistratie Personen (BRP))

• Probability
• random
• stratified
• one stage

Individuals

Not used

"Sample persons were divided into 21 strata. These strata were defined on the basis of household income, age and number of household members b 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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, p. 2.)

4

03-2017

10-2017

Register,Survey

• 49.8 % CATI
• 50.2 % Websurvey

0.2 %

See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL, Annex 4.

Statistics Estonia

"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.)." Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE, p. 2.)

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

• Probability
• systematic
• stratified
• one stage

Households

Not used

"Geographical stratification was used. The countries (and capital Tallinn) were grouped into three strata by the population size." Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE, p. 2.)

4

02-2017

05-2017

Survey

• 90.4 % CAPI
• 7.2 % CATI
• 2.4 % Websurvey

26.8 %

See Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EE, Annex 1.

Hellenic Statistical Authority

"The reference population is all citizens officially living at Greek territory (population de facto)." (Eurostat (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EL, p. 13.)

2011 Population Census

• Probability
• systematic
• stratified
• multi-stage

Area units

Households

"There are two levels of area stratification in the sampling design. The first level is the geographical stratification based on the partition of the total country area into thirteen (13) 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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EL, p. 3.)

4

05-2017

11-2017

Survey

• 8.8 % CATI
• 90.7 % PAPI
• 0.5 % Websurvey

6.5 %

Household

Inverse of Selection Probability

"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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EL, p. 7.)

"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 (2017). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), EL, p. 7.)