Title
European Union Statistics on Income and Living Conditions 2022
For 2022 EU-SILC includes the list of variables collected on an annual basis, a three-year rolling module on health and six-year module on quality of life.
Geographical Coverage
"The EU-SILC project was launched in 2003 on the basis of a ‘gentlemen's agreement’ in six EU Member States (Belgium, Denmark, Ireland, Greece, Luxembourg and Austria) and Norway. The EU-SILC instrument started in 2004 for the EU-15 (except Germany, the Netherlands and the United Kingdom) plus Estonia, Norway and Iceland.
Bulgaria and Turkey started fully implementing the EU-SILC instrument in 2006, while Romania and Switzerland began to implement it in 2007.
North Macedonia and Croatia started in 2010, Montenegro and Serbia in 2013, Albania in 2017 and Kosovo in 2018."
(Eurostat (2023): Methodological Guidelines and Description of EU-SILC Target Variables. 2022 operation (Version 7), p. 15)
Time Period Covered
Reference period for core variables: current, constant, at selection, income reference period, usual week, last 4 weeks, last 12 months, since last year, working life, childcare reference period.
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Country Specific Information: EU-SILC 2022
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LV - Latvia
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LU - Luxembourg
Producer
STATEC, Institut national de la statistique et des é études économiques du Grand-Duché du Luxembourg
Universe
"The reference population comprises all the persons who currently resided within the national territory of Luxembourg in June 2022, except: the persons living in collective households or institutions (retirement homes, prisons etc.)" (Eurostat (2023). National Reference Metadata in Single Integrated Metadata Structure (SIMS), LU, p. 2.)
Source Of Sampling Frame
Luxembourg's National Population Register (RNPP - Registre National des Personnes Physiques)
Sampling Design
Probability
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Number Of Rotational Groups
4
Start Date
09-2022
End Date
12-2022
Type Of Data Source
Survey
Interview Mode
- 8.3 % CAPI
- 5.6 % CATI
- 86.1 % Websurvey
Percentage Of Proxy Interviews
47.6 %
Weighting: Method
see Eurostat (2023). National Reference Metadata in Single Integrated Metadata Structure (SIMS), LU. Annex 5 - Weighting procedure of EU-SILC 2022.
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LT - Lithuania
Producer
Statistics Lithuania
Universe
"The target population is private households and all persons composing these households having their usual residence in Lithuania. Private household means a person living alone or a group of persons who live together, providing oneself or themselves with the essentials of living." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), LT, p. 2)
Source Of Sampling Frame
Population Register
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Sampling Method
"""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.
Within each of 25 strata simple random sample was used to select the person’s address. "" (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), LT, p. 9)"
Number Of Rotational Groups
4
Start Date
01-2022
End Date
04-2022
Type Of Data Source
Register,Survey
Interview Mode
- 7.5 % CAPI
- 79.8 % CATI
- 0.1 % PAPI
- 12.4 % Websurvey
Percentage Of Proxy Interviews
28.32 %
Weighting: Method
See Eurostat (2024) National Reference Metadata in Single Integrated Metadata Structure (SIMS), LT, annex.
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HR - Croatia
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RO - Romania
Producer
National Institute of Statistics
Universe
"The target population is private households and all Romanian or foreign persons composing these households having their usual residence in Romania. Private household means a person living alone or a group of persons who live together, providing oneself or themselves with the essentials of living." (Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), RO, p.2.)
Source Of Sampling Frame
Multifunctional Sample of Territorial Areas
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
"Stratification concerns only the first stage sampling. There are 88 strata, the criteria used being the area where a certain PSU is located (urban or rural area) and county (NUTS 3 level)." (Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), RO, p. 12.)
Sampling Method
"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 (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), RO, p. 11.)
Number Of Rotational Groups
4
Start Date
09-05-2022
End Date
31-05-2022
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
0 %
Design Weight: Target
Household
Design Weight: Method
Inverse of Inclusion Probability
Non-response Weight: Method
"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. In order to minimize the effects induced by the presence of non-response another adjustment is done: re-weighting by calibration of the weights." (Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), RO, p.13.)
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HU - Hungary
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BG - Bulgaria
Producer
National Statistical Institute
Universe
"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 (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BG, p. 2f.)
Source Of Sampling Frame
Population Census 2011
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Households
Stratification Criteria
"The sample is stratified by administrative-territorial districts in the country (NUTS3) and the household's location. As a result 56 strata are formed (28 of urban and 28 of rural population). Municipalities and settlements are ranged according to the number of their population within each stratum." (Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BG, p. 12)
Sampling Method
"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 (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BG, p. 12.)
Number Of Rotational Groups
6
Start Date
03-2022
End Date
06-2022
Type Of Data Source
Survey
Interview Mode
- 100 % CAPI
Percentage Of Proxy Interviews
21.03 %
Weighting: Method
"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 31.12.2021 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 (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BG, p. 15)
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FR - France
Producer
Institut National des Statistiques et des Etudes Economiques (INSEE)
Universe
"The reference population for the survey is comprised of all ordinary households (excluding institutions) for which the primary residence is located in France. For the first time in 2022, the survey also covers 4 overseas departments: Guadeloupe, Martinique, French Guiana and Réunion." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), FR, p. 2.)
Source Of Sampling Frame
Nautile Master Sample
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
"The survey design is a two-stage regionally stratified survey."(Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), FR, p. 13.)
Number Of Rotational Groups
4
Start Date
31-02-2022
End Date
16-04-2022
Type Of Data Source
Register,Survey
Interview Mode
- 67.8 % CAPI
- 30.3 % CATI
- 1.9 % Mixed Mode Collection
Percentage Of Proxy Interviews
24.6 %
Weighting: Method
see Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), EE. Annex 5 - Weighting procedure.
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BE - Belgium
Producer
Statistics Belgium
Universe
"The reference population is all citizens officially living at Belgian territory (population de jure). […] Persons living in collective households and in institutions are excluded from the target population." (Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BE, p. 2.)
Source Of Sampling Frame
Central Population Register
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Households
Stratification Criteria
"The main stratification criterion is the NUTS2 level. The 11 sampling strata are the 10 Belgian provinces (5 in Flanders - coded BE21-BE25 - and 5 in Wallonia- coded BE31 to BE35) and the Brussels Capital Region (BE10). Further implicit stratification is obtained by sorting PSUs (sub-municipalities) on mean income and sorting SSUs (households) in selected PSUs on age of reference person." (Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BE, p. 12.)
Sampling Method
"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 (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BE, p. 13f.)
Number Of Rotational Groups
6
Start Date
18-02-2022
End Date
23-08-2022
Type Of Data Source
Register,Survey
Interview Mode
- 23.82 % CAPI
- 76.09 % CATI
Percentage Of Proxy Interviews
10.03 %
Weighting: Method
See Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), BE, Annex 5.
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DE - Germany
Producer
Statistisches Bundesamt (Destatis)
Universe
"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 registerd at the main place of residence at the sampled adress." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), DE, p. 2)
Source Of Sampling Frame
German Census of 2011
Sampling Design
Probability
- stratified
- one stage
Stratification Criteria
"The addresses were stratified by a combination of technical (building size classes) and regional (districts/counties or summaries of districts) information as described below. Based on the stratification, addresses were clustered into artificially delimited areas (selection areas; in German called "Auswahlbezirke") that consist of around 9 dwellings or respectively 15 persons." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), DE, p. 13)
Sampling Method
"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.
Sample frame is the German Census of 2011. The addresses were stratified by a combination of technical (building size classes) and regional (districts/counties or summaries of districts) information as described below. Based on the stratification, addresses were clustered into artificially delimited areas (selection areas; in German called "Auswahlbezirke") that consist of around 9 dwellings or respectively 15 persons.
Based on the specifications 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 as well as the disjoint subsamples like SILC." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), DE, p. 13)
Number Of Rotational Groups
4
Start Date
02-2022
End Date
08-2022
Type Of Data Source
Survey
Interview Mode
- 0.9 % CAPI
- 16.9 % CATI
- 53.9 % Websurvey
- 28.3 % Mixed Mode Collection
Percentage Of Proxy Interviews
20.9 %
Non-response Weight: Method
"The net sample was calibrated to the estimated gross sample and the inverse of received weights correspond to the non-response probability" (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), DE, p. 17)
Coverage Adjustment Weight: Method
"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 (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), DE, p. 17)
Final Weighting: Method
"First phase: Calibration of Microcensus core to updated population data (age, sex, nationality) by General Regression estimation (GREG). The resulting 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 distributions 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 (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), DE, p. 17)
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DK - Denmark
Producer
Statistics Denmark
Universe
"The target population is private households and all persons composing these households having their usual residence in the Member State. Privatehousehold means a person living alone or a group of persons who live together, providing oneself or themselves with the essentials of living." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), DK, p. 2)
Source Of Sampling Frame
Central Personal register (CPR)
Sampling Design
Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Addresses
Secondary Sampling Units
Individuals
Stratification Criteria
"The population is stratified by income and NUTS-2 regions" (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), DK, p. 12)
Sampling Method
"From 2016, the Danish sample design has been a stratified one-stageclustered sample; the clusters being individual SILC-families.
From each cluster an individual is randomly selected: the contact person. Denmark uses the Selected Respondent model, where this individual answers the relevant questions for all household members.
A sample size (number of clusters) for the new panel is determined at the beginning of the sampling process. The sample size is then allocated to thestrata, with respect to both the AROPE standard error and the number of households in the strata compared to the number of sampled households ineach strata."(Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), DK, p. 12)
Number Of Rotational Groups
4
Start Date
02-2022
End Date
05-2022
Type Of Data Source
Register,Survey
Interview Mode
- 16 % CATI
- 84 % Websurvey
Percentage Of Proxy Interviews
1.7 %
Weighting: Method
"Weights were constructed by means of the generalized regression estimator. This estimator respects know population totals while adjusting the initial design weights as little as possible. Our implementation of this method relies on auxiliary information from Statistics Denmark’s registers taking into account different sampling probabilities and differential non-response.
The weighting was done at household level, where responding households were calibrated to fit population totals for the household population. Theweights align the household population with respect to:
The sum of income in each of seven equivalised disposable income intervals
The number of households at risk/not at risk of poverty in each of the five regions (NUTS2)
The number of households at risk/not at risk of poverty in four socioeconomic groups (defined by the main income holder in thehousehold)
“Risk of poverty” is operationalized as equivalised disposable income below 60 pct. of the median.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 the weights align the population of individuals with respect to:
The number of persons in seven age-groups (0-15, 16-24, 25-39, 40-49, 50-59, 60-69, 70+) living in households at risk/not at risk ofpoverty
The number of persons of each gender in two age-groups (0-39, 40+) living in each of the five regions
The number of persons living in households below and above the median of equivalised disposable income" [...] (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), DK, p. 14)
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FI - Finland
Producer
Statistics Finland
Universe
"Private households and all the persons composing the private household and who are permanently resident in Finland. Persons permanently institutionalised living, in collective households, or in residential homes are not included in the concept." (Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), FI, p. 2.)
Source Of Sampling Frame
The Population Information System of Digital and the Population Data Services Agency (DVV)
Sampling Design
Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
"The strata are 12 socio-economic groups categorized by income class on taxable income type and level of the person with the highest income in the household-dwelling unit (entrepreneurs as an exception)." (Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), FI, p. 10.)
Sampling Method
"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.)
Number Of Rotational Groups
4
Start Date
02-01-2022
End Date
21-05-2022
Type Of Data Source
Survey
Interview Mode
- 0.4 % CAPI
- 89.2 % CATI
- 10.4 % Websurvey
Percentage Of Proxy Interviews
10.20 %
Weighting: Method
See Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), FI, Annex 5.
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IE - Ireland
Producer
Central Statistics Office (CSO), Ireland
Universe
"The survey population is all private households and their current members residing in the state at the time of the data collection." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), IE, p. 2.)
Source Of Sampling Frame
register of all private dwellings occupied on the night of the 2016 Census of Populationfor waves 1, 2, 3, 4 and 5 and the 2011 Census of Population for wave 6
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Dwellings
Secondary Sampling Units
Households
Stratification Criteria
"The sample is stratified by NUTS4 and quintiles derived from the Pobal HP (Haase and Pratschke) Deprivation Index." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), IE, p. 16.)
Sampling Method
"The SILC sample is a rotational sample. Up until 2019 SILC was a four-year rotational panel survey, i.e. respondents remained in the survey for four consecutive years, with respondents from Wave 1 to 4 in any given year. Given the demand that new regulation puts on precision requirements for key indicators, and a need to boost the sample size, the rotation pattern has been gradually increased to a six-year rotation pattern. SILC 2020 was the first year in which five waves were included in the survey. From 2022 the rotation pattern was increased to six waves.
In 2022 a new sampling methodology was introduced to ensure SILC will be able to meet the precision requirements specified in the IESS regulation. Wave 1 was selected using this methodology in SILC 2022. Waves 2, 3, 4 and 5 comes from the 2018 sampling frame, while wave 6 comes from the 2014 sampling frame, using the previous sample selection methodology in place since 2014. [...]" (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), IE, p. 15.)
Number Of Rotational Groups
6
Start Date
01-2022
End Date
06-2022
Type Of Data Source
Register,Survey
Interview Mode
- 97.8 % CAPI
- 2.2 % CATI
Percentage Of Proxy Interviews
0 %
Weighting: Method
See Eurostat (2024): National Reference Metadata in Single Integrated Metadata Structure (SIMS), IE, Annex 5.
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AT - Austria
Producer
Statistics Austria
Universe
"The reference population of EU-SILC are all private households and their current members residing in the territory of Austria at the time of data collection. Persons living in collective households and in institutions are generally excluded from the target population. There is no difference to the standard EU-SILC concept." (Eurostat (2023). National Reference Metadata in Single Integrated Metadata Structure (SIMS), AT, p. 2.)
Source Of Sampling Frame
central residence register (Zentrales Melderegister -ZMR)
Sampling Design
Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Dwellings
Secondary Sampling Units
Not used
Stratification Criteria
"The first wave sample of EU-SILC 2022 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 (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), AT, p. 12.)
Sampling Method
"The first wave sampling process was carried out according to a stratified one-stage probability sample with systematic sample selection without replacement and disproportional allocation. [...] The number of selected households was determined as approximately 0.1% of all eligible addresses. The sample design for the initial EU-SILC 2022 survey was adapted with regard to the allocation per province compared to the previous year. Since 2021, the allocation criterion has been the precision of the risk of poverty or exclusion (AROPE) in the cross-section (based on the latest available results from EU-SILC 2020). The aim of this sample is to obtain the most precise sample possible (in terms of the standard error of AROPE). Therefore, the allocation of the sample for SILC 2022 per province was adjusted with respect to Eurostat's precision specifications. [...]" (Eurostat (2023). National Reference Metadata in Single Integrated Metadata Structure (SIMS), AT, p. 12.)
Number Of Rotational Groups
4
Start Date
02-2022
End Date
08-2022
Type Of Data Source
Survey
Interview Mode
- 49.2 % CAPI
- 41.1 % CATI
- 9.6 % Websurvey
Weighting: Method
see Eurostat (2023). National Reference Metadata in Single Integrated Metadata Structure (SIMS), AT. Annex 5 - Cross-sectional and longitudinal weighting procedure of EU-SILC 2022.
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CZ - Czech Republic
Producer
Czech Statistical Office
Universe
"The target population is private households and all persons composing these households having their usual residence in the Member State. Private household means a person living alone or a group of persons who live together, providing oneself or themselves with the essentials of living." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), CZ, p. 2.)
Source Of Sampling Frame
Register of Census Enumeration Districts
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Sampling Method
"The sample was obtained by applying a two-stage probability sampling scheme to each of the 14 administrative regions (NUTS3 regions) independently. The total number of dwellings selected in each region was proportional to the region's size. At the first sampling stage small geographical areas (CEUs - census enumeration units or districts) were selected by probability sampling. These CEUs served as a basis for the second-stage selection (a sample of 10 dwellings was drawn from each CEU). Before selecting the sample of dwellings, the sampling frame had to be adjusted to enable incorporation of small census enumeration units into the sampling process to reach the required full geographical coverage of the national territory." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), CZ, p. 11.)
Number Of Rotational Groups
4
Start Date
29-01-2022
End Date
12-06-2022
Type Of Data Source
Survey
Interview Mode
- 25.6 % CAPI
- 9.1 % CATI
- 65.3 % PAPI
Percentage Of Proxy Interviews
26.8 %
Weighting: Method
see Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), CZ, Annex 5.
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CY - Cyprus
Producer
Statistical Service of Cyprus (CYSTAT)
Universe
"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 (2023). National Reference Metadata in Single Integrated Metadata Structure (SIMS), CY, p. 2.)
Source Of Sampling Frame
2011 Census of Population with a supplementary list of newly constructed houses (build after 2011 up to September 2020)
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
"Geographical stratification criteria were used for the sample selection. The households were stratified in 9 strata based on District (Urban / Rural), i.e. 1) Lefkosia Urban, 2) Lefkosia Rural, 3) Ammochostos Rural, 4) Larnaka Urban, 5) Larnaka Rural, 6) Lemesos Urban, 7) Lemesos Rural, 8) Pafos Urban, 9) Pafos Rural." (Eurostat (2023). National Reference Metadata in Single Integrated Metadata Structure (SIMS), CY, p. 13.)
Number Of Rotational Groups
4
Start Date
11-04-2022
End Date
30-09-2022
Type Of Data Source
Register,Survey
Interview Mode
- 7.9 % CAPI
- 92.3 % CATI
Percentage Of Proxy Interviews
11.2 %
Weighting: Method
see Eurostat (2023). National Reference Metadata in Single Integrated Metadata Structure (SIMS), CY. Annex – Weighting, C & L data, 2022.
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SE - Sweden
Producer
Statistics Sweden
Universe
"The reference population is all private households and all persons composing these households, having their usual residence in Sweden." (Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), SE, p.2.)
Source Of Sampling Frame
The Total Population Register (TPR)
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Sampling Method
"The sampling design for panel samples selected prior to 2021 was one-stage stratified simple random sampling, where stratification was with respect to ages 16-24 years, 25-34 years, 35-44 years, 45-54 years, 55-64 years, 65-74 years, 75-84 years, and 85 years and older. The sample allocation was proportional to the stratum size. From 2021 and onwards, the sampling design for new panel samples is one-stage stratified systematic sampling, in which stratification is with respect to NUTS2 regions and where the sampling frame is ordered by sex and age. The sampling allocation is nonproportional, in which small NUTS2 regions are overrepresented, and large NUTS2 regions are underrepresented. The purpose of the new sampling design is to increase compliance with the precision requirements for SILC." (Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), SE, p.12.)
Number Of Rotational Groups
4
Start Date
01-2022
End Date
06-2022
Type Of Data Source
Register,Survey
Interview Mode
- 46.6 % CATI
- 53.4 % Websurvey
Percentage Of Proxy Interviews
1.6 %
Weighting: Method
See Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), SE, Annex 5 - Weighting Procedure.
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SI - Slovenia
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SK - Slovakia
Producer
The Statistical Office of the Slovak Republic
Universe
"The target population is private households and all persons composing these households having their usual residence in the Member State. Private household means a person living alone or a group of persons who live together, providing oneself or themselves with the essentials of living." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), SK, p. 2.)
Source Of Sampling Frame
2021 Population and Housing Census
Sampling Design
Probability
- random
- stratified
- multi-stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
"There are two criteria of area stratification in the sampling design:
- geographical stratification (8 standard administrative regions corresponding to the European NUTS 3 level.)
- degree of urbanization: 7 groups according to population size of municipalities and communes (number of inhabitants inmunicipalities and communes)
Totally 48 final strata were created (variable DB050) by using of those two stratification criteria." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), SK, p. 15.)
Sampling Method
"Two-stage stratified sampling was used in EU SILC 2022. The proportional number of households was selected by simple random sampling in individual strata." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), SK, p. 14.)
Number Of Rotational Groups
4
Start Date
02-2022
End Date
08-2022
Type Of Data Source
Survey
Interview Mode
- 64.2 % CAPI
- 35.8 % PAPI
Percentage Of Proxy Interviews
0 %
Weighting: Method
"In practice, the well-tried iteration method of weight calibration was utilized, which minimizes the difference between the known and the grossed up values of selected characteristics. Although it is a panel survey comprising data of four practically independent samples (waves 1-4), a simple calibration method was utilized which did not distinguish the waves but worked with all households together.
At the same time and according to the Eurostat’s recommendations the standard system of integrated weights was used in the survey, i.e. a single set of grossing-up coefficients that was subsequently used to produce results for both households and individuals." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), SK, p. 17.)
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IT - Italy
Producer
ISTAT Italian National Institute of Statistics
Universe
"Data refer to all private households and individuals living in the private households in the national territory at the time of data collection. […] The sub-populations that are not covered by the data collection includes: those who moved out of the country’s territory; or those with no usual residence; or those living in institutions or who have moved to an institution compared to the previous year." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), IT, pp. 2-3)
Source Of Sampling Frame
LAC (Liste Anagrafiche Comunali)
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Municipality
Secondary Sampling Units
Households
Stratification Criteria
"""Stratification of primary sampling units by the number of inhabitants so that the total number of inhabitants in each stratum is approximately constant (this guarantees self-weighting design in each region).
Municipalities whose 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."" (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), IT, p. 14)"
Sampling Method
"""PSU are selected with probability proportional to their size (number of residents) by means of a systematic sampling method by Madow (1949) inside each stratum.
Households are selected with equal probability by systematic sampling in each selected municipality from municipality registers."" (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), IT, p. 14)"
Number Of Rotational Groups
6
Start Date
14-04-2022
End Date
02-10-2022
Type Of Data Source
Survey
Interview Mode
- 34.4 % CAPI
- 65.7 % CATI
Weighting: Method
See Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), IT, annex 5.
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MT - Malta
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PT - Portugal
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PL - Poland
Producer
Statictics Poland
Universe
"The survey unit was a household and all the household members at least 16 years old at the end of the income reference period.
The survey did not cover collective households or institutions." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), PL, p. 2)
Source Of Sampling Frame
Domestic Territorial Division Register (TERYT system)
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Dwellings
Stratification Criteria
"A two-stage sampling scheme with different selection probabilities at the first stage was used. Primary sampling units (PSU) were enumeration census areas. At the second stage dwellings were selected. All the households from the selected dwellings were supposed to enter the survey. Prior to selection, primary sampling units were stratified." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), PL, p. 14)
Number Of Rotational Groups
4
Start Date
21-04-2022
End Date
30-06-2022
Type Of Data Source
Survey
Interview Mode
- 28.2 % CAPI
- 69.1 % CATI
- 2.7 % PAPI
Weighting: Method
See Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), PL, Annex 2.
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ES - Spain
Producer
National Statistics Institute (INE-Spain)
Universe
"""The target population was members of private households residing at main family addresses, and the households themselves.
(No differences between national and EU-SILC concept) […]
The sub-populations that are not covered by the data collection includes: those who moved out of the country’s territory; or thosewith no usual residence; or those living in institutions or who have moved to an institution compared to the previous year."" (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), ES, p. 2)"
Source Of Sampling Frame
Geographical frame of addresses ("Marco de direcciones georrefenciadas")
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Census enumeration units
Secondary Sampling Units
Addresses
Stratification Criteria
"In each Autonomous Community [self-ruling region], first-stage units were stratified by the size of the municipality to which the census section belonged.
The following strata were considered:
Stratum 0: Municipalities of over 500,000 population.
Stratum 1: Provincial capitals (other than the above).
Stratum 2: Municipalities of over 100,000 population (other than the above).
Stratum 3: Municipalities of 50,000 to 100,000 population (other than the above).
Stratum 4: Municipalities of 20,000 to 50,000 population (other than the above).
Stratum 5: Municipalities of 10,000 to 20,000 population.
Stratum 6: Municipalities of under 10,000 population.
An independent sample was designed in each Autonomous Community to represent it, because one of INE’s survey objectives isto provide data at this level of disaggegration." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), ES, p. 12)
Sampling Method
"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 toAutonomous Community size. The uniform part accounted for about 40% of sections.
In each section, 12 addresses are selected originally.
The number of sections in each Autonomous Community and stratum group was always a multiple of four, to ensure that all rotations had the same notional-sample distribution across Autonomous Communities and strata.
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 (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), ES, p. 12)
Number Of Rotational Groups
4
Start Date
04-2022
End Date
08-2022
Type Of Data Source
Register,Survey
Interview Mode
- 7.8 % CAPI
- 45.7 % CATI
- 46.4 % Websurvey
- 0.1 % Mixed Mode Collection
Interview Mode - Description
"Since 2021 the mode of data collection has been changed to multichannel (CAWI, CATI, CAPI). In 2020, due to the COVID-19 crisis, the mode of datacollection was changed to CATI, instead of the usual CAPI-CATI used before 2020.
Since the 2017 survey the data collection has been externalised although all the implementation tools have been provided by the National Statistical Institute (INE). The data collection has been exhaustively supervised by INE.
Spain uses administrative data in the production of the income variables since the 2013 survey. The strategy is to use a mixed methodology taking mainly income data from the registers and also from questionnaires when the register information is insufficient." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), ES, p. 14)
Weighting: Method
See Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), ES, Annex 5 - Weighting procedure.
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NL - Netherlands
Producer
Statistics Netherlands
Universe
"The target population is private households and all persons composing these households having their usual residence in the Netherlands. Private household means a person living alone or a group of persons who live together, providing oneself or themselves with the essentials of living. A person has his/her usual residence in the Netherlands if the person has his/her actual place of residence in the Netherlands. The person must be listed in the Dutch population register." (Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), NL, p. 2.)
Source Of Sampling Frame
Municipal Population Register
Sampling Design
Probability
- random
- stratified
- one stage
Primary Sampling Units
Individuals
Secondary Sampling Units
Not used
Stratification Criteria
"Sample persons were divided into 21 strata. These strata were defined on the basis of household income, age and number of household members belonging to the target population: 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 (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), NL, p. 11.)
Number Of Rotational Groups
6
Start Date
02-2022
End Date
09-2022
Type Of Data Source
Register,Survey
Interview Mode
- 22.3 % CATI
- 77.7 % Websurvey
Percentage Of Proxy Interviews
0 %
Weighting: Method
See Eurostat (2023). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), NL, Annex 5.
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EE - Estonia
Producer
Statistics Estonia
Universe
"Persons living in collective households are included in the reference population. The share of persons who are living in collective households and who are not at the same time members of some private household is likely to be very low. Additionally, there is no feasiable way to estimate their share in the total population. Thus, the exclusion of these persons is unlikely to affect the comparability and reliability of the estimates." (Eurostat (2023). National Reference Metadata in Single Integrated Metadata Structure (SIMS), EE, p. 2.)
Source Of Sampling Frame
Statistical Population Register of Estonia
Sampling Design
Probability
- systematic
- stratified
- one stage
Primary Sampling Units
Households
Secondary Sampling Units
Not used
Stratification Criteria
"The 15 counties and Tallinn city are divided into four strata by population size: I - Tallinn; II - four bigger counties (Harju (excl. Tallinn), Ida-Viru, Pärnu and Tartu counties); III - ten smaller counties (Jõgeva, Järva, Lääne-Viru, Põlva, Rapla, Saare, Valga, Viljandi and Võru counties); IV - Hiiu county." (Eurostat (2023). National Reference Metadata in Single Integrated Metadata Structure (SIMS), EE, p. 8.)
Number Of Rotational Groups
4
Start Date
01-02-2022
End Date
31-05-2022
Type Of Data Source
Survey
Interview Mode
- 76.79 % CATI
- 14.48 % Websurvey
- 8.78 % Mixed Mode Collection
Percentage Of Proxy Interviews
9.22 %
Weighting: Method
see Eurostat (2023). National Reference Metadata in Single Integrated Metadata Structure (SIMS), EE. Annex 5 - Weighting procedure of EU-SILC 2022.
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EL - Greece
Producer
Hellenic Statistical Authority (ELSTAT)
Universe
"The target population is private households and all persons composing these households. [...]
Persons living in collective households and in institutions are excluded from the target population as well as households with diplomatic missioners as members. [...]
The sub-populations that are not covered by the data collection includes: those who moved out of the country’s territory; or thosewith no usual residence; or those living in institutions or who have moved to an institution compared to the previous year."" (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), EL, pp. 4)"
Sampling Design
Probability
- systematic
- stratified
- multi-stage
Primary Sampling Units
Area units
Secondary Sampling Units
Households
Stratification Criteria
"The two-stage area sampling was applied for the EU-SILC survey.
[...]
The sampling design involves two levels of area stratification of the target population: (i) the first level is geographical stratification based on the partition of the total country area into the thirteen standard administrative regions, corresponding to the European NUTS II level. Stratification by region, also implemented in the original design of the SILC, is necessary for achieving specified precision at regional level. (ii) The second level of stratification involves grouping, within each region, municipalities and communes into four categories by degree of urbanization, i.e., according to their population size. The four degrees of urbanization are delineated in Table 1. The two major cities of ex-agglomerations of Athens and Thessalonica constitute two separate major geographical strata within the regions of Attiki and Kentriki Makedonia, respectively. Thus, the total number of strata in the thirteen regions, excluding the cities of Athens and Thessalonica, is 50; it should be noted that the highest degree of urbanization is lacking in two regions. The two major city agglomerations of Athens and Thessalonica are further partitioned into 31 and 9 substrata (administrative subdivisions), respectively, on the basis of the city blocks of the municipalities that constitute them. Thus, the total number of strata for this survey is 90.
The number of the final strata in the thirteen (13) Regions is 50. The former Greater Athens Area was divided into 31 strata on thebasis 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 35.5% 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.
The initial sample size is 11,511 households, 2.8% of the total population of households (4,049,102)." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), EL, p. 20)
Sampling Method
"1st stage of sampling
Selection algorithm
The random selection of the specified number of PSUs is carried out separately in each stratum in the following steps.
1. Before the selection, list all PSUs in the stratum in random order;
2. for each PSU in the stratum, cumulate the population sizes (number of private households) for PSUs up to and including itself, e.g., for PSU i calculate the total Ti= N1+N2+…+Ni, where N1, N2,…, Ni denote sizes of PSUs in the particular stratum;
3. determine the range corresponding to each PSU in the stratum, that is, from (but not including) the cumulative sum for the previous PSU to the cumulative sum for the current PSU, e.g., for PSU i the range is (Ti-1, Ti);
4. divide the total cumulative size by the number n of PSUs to be sampled, to get the sampling interval (SI);
5. determine a random start, r, between 1 and SI;
6. select those n PSUs whose range contains the random numbers r, r+SI, r+2SI;…, r+(n-1)SI.
By design, the total number of selected PSUs in each stratum is a multiple, say d, of 4, so that each rotating panel is composed of 4d PSUs. The selected PSUs are assigned to the four panels as follows. Assume that all 4d selected PSUs are listed in the order of their selection. Then the d PSUs assigned to the ith panel (i=1,2,3,4) are those in the sequence of selection i, i+4, i+2*4, …, i+(d-1)*4. For example, in a stratum with 12 selected PSUs, the four panels will be formed by the PSUs according to the sequences of selection (1, 5, 9), (2, 6, 10), (3, 7, 11), (4, 8, 12), respectively." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), EL, p. 20)
Number Of Rotational Groups
4
Start Date
07-2022
End Date
11-2022
Type Of Data Source
Survey
Interview Mode
- 37.3 % CATI
- 62.7 % PAPI
Percentage Of Proxy Interviews
0.1 %
Design Weight: Target
"For the households of the new panel 3 introduced in 2022, the household design weight (target variable DB080) is defined as the inverse of its probability of selection." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), EL, p. 25)
Non-response Weight: Method
"Within each design stratum, the non-response adjustment of the responding households is carried out by the inverse of the response rate, so as to “make up” for non-responding cases in that stratum.
Target variable DB080 was adjusted for non-response for the variables DB120 (record of contact at address) and DB130 (household questionnaire result). The corrections were conducted at subsequent steps. The multiplication of DB080 with each one of the two corrections, results in a corrected DB080 weight that is used as initial weight in the calibration procedure referred in the following paragraph.
Concerning the non-response adjustment for the second and following waves of the longitudinal component, especiallyconcerning variables RB060 and PB050, the previous year’s respective values are corrected (inflated) with an adjustment coefficient in order to take into account the population “attrition”. This coefficient is computed for every year and panel separately based on the specific for that year and panel population characteristics. Also this coefficient is different for each one of the two variables RB060 and PB050 since those two refer to different populations (RB060 to all persons irrespectively of their age, while PB050 to adults that accepted to participate in the survey)." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), EL, p. 25)
Final Weighting: Method
"The final cross sectional weights where calculated as described above, i.e using DB080 after non-response adjustment as the initial weights for new panel and base weights adjusted for non-response due to attrition for former panels. The calibration
methods were then applied for the total sample.
The final longitudinal weights (variables DB095, RB060 and PB050) where calculated with the same way as the respective cross-sectional weights (DB090, RB050 and PB040). Then, longitudinal weight variables RB062, RB063 and RB064 are computed on the basis of RB060, but as indicated from the respective documents, they are computed only for year 2022 and panels “4,1,2”, “4,1” and “2” respectively." (Eurostat (2024). National Reference Metadata in Single Integrated Metadata Structure (SIMS), EL, p. 26)