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Metadata for Official Statistics

Title

European Union Statistics on Income and Living Conditions 2013

EU-SILC 2013 contains the 2013 Module on Wellbeing and additional variables for material deprivation (ESS agreement of September 2012).

Geographical Coverage

EU-27 member states and Croatia, Iceland, Turkey, Norway and Switzerland.

Datasets availability table and release calendar (Eurostat)


Time Period Covered

Reference period for core variables: constant, at selection, income reference period, usual week, last 4 weeks, last 12 months, since last year, working life, childcare reference period.
The reference period for all module variables is the current situation, except for the five variables on emotional well-being, which refer to the past four weeks. (Eurostat (2013): DESCRIPTION OF TARGET VARIABLES: Cross-sectional and Longitudinal. 2013 operation (Version May 2013), p. 74.)

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Country Specific Information: EU-SILC 2013

  • LV - Latvia

    Producer

    Central Statistical Bureau of Latvia


    Universe

    Persons living in private households within national territory


    Sampling Design

    Probability

    • systematic
    • stratified
    • multi-stage


    Primary Sampling Units

    Census enumeration units


    Secondary Sampling Units

    Dwellings


    Stratification Criteria

    The stratification was made depending on a degree of urbanization of the area. The Classification of Administrative Territories and Territorial Units (CATTU) of Latvia was used for stratification.


    Number Of Rotational Groups

    4

    Start Date

    04-2013


    End Date

    07-2013


    Type Of Data Source

    Register,Survey


    Interview Mode

    • 61.4 % CAPI
    • 33.7 % CATI
    • 4.9 % PAPI

    Percentage Of Proxy Interviews

    16.1 %

    Design Weight: Method

    Inverse of Selection Probability


  • LU - Luxembourg

    Producer

    STATEC, Institut national de la statistique et des études économiques du Grand-Duché du Luxembourg; CEPS/INSTEAD, Centre d'Etudes de Populations, de Pauvreté et de Politiques Socio-économiques


    Universe

    No difference to the common definition.


    Source Of Sampling Frame

    Luxembourg Social Security database (IGSS) and a subsample of Population Census


    Sampling Design

    Probability

    • random
    • stratified
    • one stage


    Primary Sampling Units

    Households


    Secondary Sampling Units

    Not used


    Sampling Method

    Luxembourg uses a pure panel with a new sample each year.


    Start Date

    01-2013


    End Date

    11-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    29.8 %

  • LT - Lithuania

    Producer

    Statistics Lithuania


    Universe

    No difference to the common definition


    Source Of Sampling Frame

    Population Register


    Sampling Design

    Probability

    • random
    • stratified
    • one stage


    Primary Sampling Units

    Households


    Secondary Sampling Units

    Not used


    Stratification Criteria

    While selecting the new rotational group of the sample the country were grouped into 7 strata: 5 largest cities, other cities and rural area. Simple random sample of non–institutional persons aged 16 and over was selected from the Population Register in each stratum.


    Number Of Rotational Groups

    4

    Start Date

    02-2013


    End Date

    06-2013


    Type Of Data Source

    Register,Survey


    Interview Mode

    • 19.8 % CAPI
    • 33.7 % CATI
    • 46.5 % PAPI

    Percentage Of Proxy Interviews

    20.60 %

    Design Weight: Target

    Household


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    To estimate household response probability logistic regression model are used. Response bias is estimated for responding and non-responding households.


    Coverage Adjustment Weight: Method

    Modified design weights are calibrated, seeking for the weights, which would remain as close as possible to sample design weights and allow obtaining some exact demographic estimates – auxiliary variables


  • HR - Croatia

    Producer

    Croatian Bureau of Statistics


    Universe

    Private households in Croatia. Institutional households (such as homes, prisons, hospitals for the permanent accommodation of patients etc.) are not covered.


    Source Of Sampling Frame

    2001 Census data


    Sampling Design

    Probability

    • multi-stage


    Number Of Rotational Groups

    4

    Start Date

    05-2013


    End Date

    06-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    41.6 %

    Eurostat: EU Comparative Quality Report 2013.

  • RO - Romania

    Corresponding National Study

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


    Producer

    National Institute of Statistics of Romania


    Universe

    the reference population is all private households and their current members residing in the territory of the Romania at the time of data collection. Persons living in collective households and in institutions are excluded from the target population.


    Source Of Sampling Frame

    Multifunctional Sample of Territorial Areas (EMZOT)


    Sampling Design

    Probability

    • random
    • stratified
    • multi-stage


    Primary Sampling Units

    Census enumeration units


    Secondary Sampling Units

    Dwellings


    Stratification Criteria

    Stratification concerns only the first stage sampling. There are 88 strata, the criteria used being the area where a certain PSU is located (urban or rural area) and county (NUTS 3 level).


    Number Of Rotational Groups

    4

    Type Of Data Source

    Survey


    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    13 %

    Design Weight: Target

    Household


    Design Weight: Method

    Inverse of Selection 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.


    Coverage Adjustment Weight: Method

    The calibration is performed at the household level using the household variables and individual variables in their aggregate form as calibration variables. Adjustments were made using the SAS macro CALMAR. Calibration variables were: “distribution of the population by age group, area of residence and gender” using Romanian Population Estimates at the end of the income reference period and ’’households totals by region’’.


  • NO - Norway

    Producer

    Statistics Norway


    Universe

    Persons aged 16 years or more at December 31 N-1 who are living outside an institution.


    Sampling Design

    Probability

    • random
    • stratified
    • one stage


    Primary Sampling Units

    Individuals


    Secondary Sampling Units

    Not used


    Stratification Criteria

    "Rotational groups were biased. In 2007, the representativity based on one-year age groups was abandoned, and the new rotational groups are drawn as the proportion p of the population 16 years and over. In addition, each existing rotational group is then supplemented with new 16 year olds and new immigrants to ensure representativity." NO 2013, p.2


    Number Of Rotational Groups

    4

    Start Date

    03-2013


    End Date

    07-2013


    Type Of Data Source

    Register,Survey


    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    37.4 %

    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    Weights are calculated by stratifying the gross sample according to information in registers on sex, age, education and family size (Personal cross-sectional weight )


    Coverage Adjustment Weight: Method

    No adjustments are made, except for children's weights.


  • HU - Hungary

    Producer

    Hungarian Central Statistical Office


    Source Of Sampling Frame

    Updated dataset of addresses used in the 2001 population and housing census


    Sampling Design

    Probability

    • random
    • stratified
    • multi-stage


    Primary Sampling Units

    Localities


    Secondary Sampling Units

    Households


    Stratification Criteria

    At phase 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 phase 2 the households of the master sample is stratified by the charachteristic of the head of household within each locality.


    Number Of Rotational Groups

    4

    Start Date

    04-2013


    End Date

    06-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    14.7 %

    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    "In the new rotational group non-response weights were
    introduced to reduce bias caused by unit non-response on household level. Non-response adjustment was a simple expansion applied by the same classes as design factors were calculated by."


    Coverage Adjustment Weight: Method

    "The aim of this adjustment was to improve the accuracy of
    data using socio-economical information available from the constantly updated Census 2001 and other surveys. Iterative raking scale methods were applied. For the integrative calibration population totals are used. Calibration was carried out with a self made SAS program. Calibration was carried ou in each rotational group. "


  • FR - France

    Corresponding National Study

    Statistiques sur les Ressources et les Conditions de Vie


    Producer

    INSEE - National Institute for Statistics and Economic Studies


    Primary Sampling Units

    Municipality


    Number Of Rotational Groups

    9

    Start Date

    05-2013


    End Date

    06-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    26.9 %

    Eurostat: EU Comparative Quality Report 2013.

  • BG - Bulgaria

    Producer

    National Statistical Institute


    Universe

    All citizens officially living at Bulgarian territory (population de facto).


    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.


    Number Of Rotational Groups

    4

    Start Date

    05-2013


    End Date

    07-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    15.8 %

    Design Weight: Target

    Household


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    Correction for non-response at the first year of subsamples was done with weighting within classes procedures: The design weights were modified by a factor inversely proportional to the response rate within strata. Coefficients of these corrections were computed separately according to classes of locality as ratios: the sum of design weights of selected units to the sum of design weights of responding units. The response probability for the households at wave 1, 2, 4 is obtained by a logistic regression model. The variables strata, size of household, sex, age group, activity, educational level and poverty indicators were used in the model.


    Coverage Adjustment Weight: Method

    The final weights were obtained applying the integrated calibration method. Combining the four independent subsamples, calibration is done on individual-level data, imposing equality of g-weights for individuals in the same household. Truncated linear function are used in order to limit g-weights close enough to 1. External information about the distribution of the population by administrative-territorial districts (NUTS 3) and residence and about the distribution of the population by age groups, sex and residence was used. This information was derived from the Information System Demography (ISD). Calibration was carried out with a G calib2.0 program (designed by Statistics Belgium).


  • BE - Belgium

    Producer

    Statistics Belgium


    Universe

    The reference population is all citizens living officially living at Belgian territory (population de jure).


    Sampling Design

    Probability

    • systematic


    Primary Sampling Units

    Municipality


    Secondary Sampling Units

    Households


    Number Of Rotational Groups

    4

    Start Date

    02-2013


    End Date

    12-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    14.4 %

    Design Weight: Target

    Household


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    A logistic regression model was used to correct for non-response. The file was split by NUTS1 and the variables household size and region were used.


  • DE - Germany

    Corresponding National Study

    Leben in Europa


    Producer

    Federal Statistical Office of Germany


    Universe

    The sampling population for the whole sample comprises private households in Germany in their main residences.


    Number Of Rotational Groups

    4

    Start Date

    05-2013


    End Date

    09-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    13.3 %

    Eurostat: EU Comparative Quality Report 2013.

  • DK - Denmark

    Producer

    Statistics Denmark


    Universe

    People residing in private households residing in Denmark at the time of the interview.


    Sampling Design

    Probability

    • random
    • not stratified
    • one stage


    Primary Sampling Units

    Individuals


    Secondary Sampling Units

    Not used


    Number Of Rotational Groups

    4

    Start Date

    04-2013


    End Date

    06-2013


    Type Of Data Source

    Register,Survey


    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    52.6 %

    Design Weight: Target

    Household


  • FI - Finland

    Producer

    Statistics Finland


    Universe

    Members of the private households permanently resident (the census definition) in Finland on 31 December 2011. 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.


    Source Of Sampling Frame

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


    Sampling Design

    Probability

    • systematic
    • stratified
    • multi-stage


    Primary Sampling Units

    Individuals


    Secondary Sampling Units

    Dwellings


    Number Of Rotational Groups

    4

    Start Date

    02-2013


    End Date

    12-2013


    Type Of Data Source

    Register,Survey


    Interview Mode

    • 2.3 % CAPI
    • 97.7 % CATI

    Percentage Of Proxy Interviews

    10.6 %

    Design Weight: Target

    Household


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    The household design weights were multiplied by a simple adjustment n(sample)/n(respondents) in every stratum.


    Coverage Adjustment Weight: Method

    The calibration can be interpreted as integrative, i.e. both the household and person levels were included in the process. Calibrations were performed by the raking method with the SAS supporting CALMAR macro.


  • IE - Ireland

    Producer

    Central Statistics Office (CSO)


    Universe

    Persons aged 16 years and over living in private households


    Number Of Rotational Groups

    4

    Start Date

    02-2013


    End Date

    12-2013


    Type Of Data Source

    Register,Survey


    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    29.7 %

    Eurostat: EU Comparative Quality Report 2013.

  • AT - Austria

    Producer

    Statistics Austria


    Universe

    All accommodations with at least one person aged 16+ who had her/his main residence in these accommodations.


    Source Of Sampling Frame

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


    Sampling Design

    Probability

    • systematic
    • stratified
    • one stage


    Primary Sampling Units

    Dwellings


    Secondary Sampling Units

    Not used


    Stratification Criteria

    The sample of the first wave was stratified according to 207 interviewer units (Sprengel). These are regional divisions of federal territory which may be approximately combined to Austrian provinces (NUTS 2 units).


    Number Of Rotational Groups

    4

    Type Of Data Source

    Survey


    Interview Mode

    • 56.2 % CAPI
    • 43.8 % CATI

    Percentage Of Proxy Interviews

    10.00 %

    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    For the estimation of weights a logistic regression model was set up to estimate the response probabilites of each household with explanatory variables known prior to the questionnaire.


    Coverage Adjustment Weight: Method

    As a reference data base the average of the quarters 1 to 3 of 2012 of the Microcensus was chosen. Additionally data from the main association of Austrian Social Security Institutions (Hauptverband der österreichischen Sozialversicherungsträger) were used to provide an accurate number of people who were receiving unemployment benefits (People who received benefits for more than one month during the income reference period were counted).
    The adjustments were carried out on household level and on individual level and were done with reference to the following variables:
    Household level: the household size (four categories: 1, 2, 3 household members and households with 4 and more household members), tenure status (two categories: rented flat/house or owned), and region (nine categories: Nuts II level). Individual level: Sex, age.
    In addition to these variables adjustments were implemented to achieve coherence in the number of foreign citizens using Microcensus data the number of recipients of unemployment benefits for a duration of more than one months the number of recipients of income from employment (aged 15 and over) the number of recipients of income from pensions.


  • CZ - Czech Republic

    Producer

    Czech Statistical Office


    Universe

    All persons with usual residence in Czech dwellings (their only place of residence or their main place of residence) were included in the survey.


    Source Of Sampling Frame

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


    Sampling Design

    Probability

    • random
    • stratified
    • multi-stage


    Primary Sampling Units

    Census enumeration units


    Secondary Sampling Units

    Dwellings


    Stratification Criteria

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


    Number Of Rotational Groups

    4

    Start Date

    02-2013


    End Date

    05-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 40.1 % CAPI
    • 59.9 % PAPI

    Percentage Of Proxy Interviews

    28.7 %

    Design Weight: Method

    none


    Non-response Weight: Method

    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.


    Coverage Adjustment Weight: Method

    For the adjustments to external data 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 and Population characteristics:and population characteristics (population totals in each NUTS3 region, economic activity in each NUTS3 region, demographic characteristics at the national level).


  • CY - Cyprus

    Corresponding National Study

    Survey of Income and Living Conditions


    Producer

    Statistical Service of Cyprus


    Source Of Sampling Frame

    The sampling frame used for the 2013 was the list of households from the 2011, Census of Population


    Sampling Design

    Probability

    • random
    • stratified
    • one stage


    Primary Sampling Units

    Households


    Secondary Sampling Units

    Not used


    Stratification Criteria

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


    Number Of Rotational Groups

    4

    Start Date

    04-2013


    End Date

    09-2013


    Type Of Data Source

    Register,Survey


    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    4.5 %

    Design Weight: Target

    Household


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    The empirical response rate within each stratum provides an estimate of the response probability for all the households of the stratum.


    Coverage Adjustment Weight: Method

    The individual variables are aggregated at the household level by calculating household totals such as the number of male/female in the household, the number of persons aged 16+ etc. After that, calibration is done at the household level using the household variables and the individual variables in their aggregate form.At personal level the calibration variables used were the distribution of population by age and gender. Based on this calibration procedure and using the weight after non-response adjustment as the initial weight, the household and the personal cross-sectional weights were calculated.


  • SE - Sweden

    Producer

    Statistics Sweden


    Universe

    The refence population is the whole Swedish population except short term migrants. People who stay in Sweden for no longer than 3-12 months are not covered.


    Sampling Design

    Probability

    • random
    • stratified
    • one stage


    Primary Sampling Units

    Individuals


    Secondary Sampling Units

    Not used


    Stratification Criteria

    The sample is stratified by age in eight strata according to age.


    Number Of Rotational Groups

    4

    Start Date

    02-2013


    End Date

    12-2013


    Type Of Data Source

    Register,Survey


    Interview Mode

    • 99.9 % CATI
    • 0.1 % PAPI

    Percentage Of Proxy Interviews

    1.9 %

    Design Weight: Target

    Household


    Design Weight: Method

    Inverse Selection of Probability


    Non-response Weight: Method

    The adjustment for non-response is done by straight expansion within each poststratum.


    Coverage Adjustment Weight: Method

    The adjustment for non-response is done by straight expansion within each poststratum.


  • SI - Slovenia

    Corresponding National Study

    Central Register of Population


    Producer

    The Statistical office of the Republic of Slovenia


    Universe

    The reference population is defined with the persons in the Central Register of Population which are aged 16 years or more. The individuals with Slovenian citizenship as well as foreigners were included in the sampling frame.


    Source Of Sampling Frame

    Central Register of Population (CRP)


    Sampling Design

    Probability

    • systematic
    • stratified
    • multi-stage


    Primary Sampling Units

    Census enumeration units


    Secondary Sampling Units

    Individuals


    Stratification Criteria

    The sampling frame of persons aged 16 years or more is divided into 6 strata, which are defined according to the size of the settlement and the proportion of agricultural households in the settlement.


    Number Of Rotational Groups

    4

    Start Date

    01-2013


    End Date

    06-2013


    Type Of Data Source

    Register,Survey


    Interview Mode

    • 46.2 % CAPI
    • 53.8 % CATI

    Percentage Of Proxy Interviews

    23.2 %

    Design Weight: Target

    Person


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    The non-response factor was calculated for each stratum. First the sample was divided into three categories: responses, non-responses and out-of-scope units.


    Coverage Adjustment Weight: Method

    By the calibration procedures the weighted sums of some key variables are set to the known population values. These population values are obtained from the different administrative sources. For the calibration of weights we used SAS Macro Calmar. We performed calibration for the level of households, as well as for the level of the persons.


  • SK - Slovakia

    Producer

    The Statistical Office of the Slovak Republic


    Universe

    Permanently occupied dwellings and houses (according to 2001 Population and Housing Census).


    Source Of Sampling Frame

    2001 Population and Housing Census


    Sampling Design

    Probability

    • random
    • stratified
    • one stage


    Primary Sampling Units

    Households


    Secondary Sampling Units

    Not used


    Stratification Criteria

    Stratification is done by regional criterion
    (NUTS3) and by degree of urbanization in 48 strata.


    Number Of Rotational Groups

    4

    Start Date

    05-2013


    End Date

    05-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    3.6 %

    Design Weight: Target

    Households


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    "Non-response adjustments was solved by the correction of weights in relation to the response rate. Dividing households into strata (region and rotational group) are used. From assumption it is resulted 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." SK 2013, p.7


    Coverage Adjustment Weight: Method

    "Weights of the households sharing of expenditures was calibrated to external sources of number of households by number of membership in 7 administration regions." SK 2013, p.7


  • IS - Iceland

    Producer

    Statistics Iceland


    Universe

    People in private households


    Source Of Sampling Frame

    Iceland population register


    Sampling Design

    Probability

    • random
    • not stratified
    • one stage


    Primary Sampling Units

    Individuals


    Secondary Sampling Units

    Not used


    Stratification Criteria

    The sample is post stratified


    Number Of Rotational Groups

    4

    Start Date

    03-2013


    End Date

    05-2013


    Type Of Data Source

    Register,Survey


    Interview Mode

    • 100 % CATI

    Design Weight: Target

    Person


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    Post stratification weights are used to adjust the data to the population. The information on the population comes from the national register. The weights both adjust for nonresponse and sampling error. The post stratification weights are based on age , sex and residence.


    Coverage Adjustment Weight: Method

    Results are calibrated with numbers from the national register taking into account the distribution of the population according to age, sex and residence.


  • UK - Great Britain

    Corresponding National Study

    General Lifestyle Survey; Living Conditions Survey (Northern Ireland)


    Producer

    Office for National Statistics; Northern Ireland Statistics and Research Agency (Northern Ireland)


    Universe

    The reference population for the Family Resources Survey is all private households in the UK


    Sampling Design

    Probability

    • systematic
    • stratified
    • multi-stage


    Primary Sampling Units

    Postecode sectors


    Secondary Sampling Units

    Addresses


    Stratification Criteria

    " The PSUs are then sorted by three other variables (different for the two surveys), which are described below, which provides an implicit stratification. Stratifying ensures that the proportions of the sample falling into each group reflect those of the population. For the FRS, 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 by the proportion of economically active adults aged 16-74 and formed into two further bands, resulting in sixteen bands for each region. These are then ordered according to the proportion of economically active males aged 16-74 who are unemployed. This set of stratifiers is chosen to have maximum effectiveness on the accuracy of two key variables: household income and housing costs. For the GLF, postcode sectors were stratified according to selected indicators taken from the 2001 Census. Sectors were initially ordered according to the proportion of households with no car, then divided into three bands containing approximately the same number of households. Within each band, sectors were re-ordered according to the proportion of households with a household reference person in socio-economic groups 1 to 5 and 13, and these bands were then subdivided into three further bands of approximately equal size. Finally, within each of these bands, sectors were re-ordered according to the proportion of people who were pensioners. The ordering by pensioners and socio-economic group was carried out in reverse order so as to maximise similarity between one band and the next." UK 2013, p.11


    Start Date

    05-2013


    End Date

    12-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    23 %

    Design Weight: Target

    Household


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    "There is no correction for individual non-response, because only fully cooperating households are
    included in the dataset. Household non-response is corrected for in the grossing procedure, which sets grossing
    factors so that the population estimate is representative of the population in several dimensions." UK 2013, p.15


    Coverage Adjustment Weight: Method

    "The grossing regime for Great Britain aims to calibrate population estimates derived from EU SILC data against seven different variables: Individuals (Age, sex and region), Dependants aged 16-19, Benefit units, Benefit units (Lone Parents), Households (Tenure type), Households (Council Tax Band), Households (Region).
    The grossing regime for Northern Ireland is slightly different from that for the rest of the UK: Local taxes in Northern Ireland are collected through the rates system, so Council Tax Band as a control variable is not applicable. Northern Ireland housing data are based largely on small sample surveys. It is not desirabe to introduce the variance of one survey into another by using it to compute control totals; therefore tenure type has not been used as a control variable." UK 2013, p.15


  • IT - Italy

    Producer

    Italian National Institute of Statistics


    Universe

    All persons living in private households.


    Source Of Sampling Frame

    Registers of the municipalities


    Sampling Design

    Probability

    • systematic
    • stratified
    • multi-stage


    Primary Sampling Units

    Municipality


    Secondary Sampling Units

    Households


    Number Of Rotational Groups

    4

    Start Date

    06-2013


    End Date

    12-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    33 %

    Design Weight: Target

    Household


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    Concerning with the individual-level non-response, the records of the non-respondent individual belonging to respondent households were totally imputed.
    Concerning with the non-response adjustment at the household level, the base weights were adjusted by a correction factor for total non-response worked out as the reciprocal of the response probability for each household identified by the information we had on the extracted sample (for the households at wave 1) or gathered from the previous year of survey (for the households at wave 2, 3, 4). The response probability is obtained by a logistic regression model.


    Coverage Adjustment Weight: Method

    After the non-response adjustments, the final weights were obtained applying a calibration of the household weights to external data sources (registers).


  • MT - Malta

    Producer

    National Statistics Office Malta


    Universe

    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.


    Source Of Sampling Frame

    updated Census of Population & Housing 2005


    Sampling Design

    Probability

    • random
    • not stratified
    • one stage


    Primary Sampling Units

    Households


    Secondary Sampling Units

    Not used


    Stratification Criteria

    Not applicable


    Number Of Rotational Groups

    4

    Start Date

    04-2013


    End Date

    06-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 85.4 % CAPI
    • 14.6 % CATI

    Percentage Of Proxy Interviews

    32.3 %

    Design Weight: Target

    Household


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    For new households, the adjustment for non-response at individual level was incorporated in the calculation of design weights. For old households (the remaining three panels), the adjustment for attrition was carried out through post-stratification. The variables used were age-group, sex and district (NUTS 4).


    Coverage Adjustment Weight: Method

    A temporary cross-sectional weight was created as the product of the design weight and non-response adjustment. This temporary weight was normalised and trimmed so as to lie within the lowest and highest deciles, thus reducing the range of the weights. The resulting weight was used as the initial weight for calibration. SAS-based CALMAR software was used for the calibration. The logit method was applied and the calibrating variables used were household size, districts (NUTS 4), household type and number of persons in a household.


  • PL - Poland

    Producer

    Central Statistical Office of Poland


    Universe

    The survey unit was a household and all the household members who hav reached the age of 16 years by December 31, 2012.


    Sampling Design

    Probability

    • systematic
    • stratified
    • multi-stage


    Primary Sampling Units

    Census enumeration units


    Secondary Sampling Units

    Dwellings


    Number Of Rotational Groups

    4

    Start Date

    06-2013


    End Date

    07-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    20.4 %

    Design Weight: Target

    Dwelling


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    Weights were adjusted with the use of household non-response rates estimated for each class of locality separately.


    Coverage Adjustment Weight: Method

    Using the integrated calibration method weights were calculated for individuals and for households simultaneously. To do this, the information about households was used and number of persons by age and gender. This information at the level of NUTS2, additionally classified by urban/rural areas, was derived from the 2002 Census and current demographic estimates.


  • PT - Portugal

    Corresponding National Study

    ICOR (Income and living Conditions)


    Producer

    Statistics Portugal


    Universe

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


    Sampling Design

    Probability


    Number Of Rotational Groups

    4

    Start Date

    05-2013


    End Date

    06-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    28.7 %

    Eurostat: EU Comparative Quality Report 2013.

  • RS - Serbia

    Producer

    Central Statistics Office (CSO)


    Universe

    Persons aged 16 years and over living in private households


    Number Of Rotational Groups

    4

    Type Of Data Source

    Survey


    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    27.6 %

  • CH - Switzerland

    Producer

    Federal Statistics Office


    Sampling Design

    Probability

    • systematic
    • stratified
    • multi-stage


    Primary Sampling Units

    Households


    Stratification Criteria

    The seven major geographical regions (level NUTS2)


    Number Of Rotational Groups

    4

    Start Date

    04-2013


    End Date

    09-2013


    Type Of Data Source

    Register,Survey


    Interview Mode

    • 0.2 % CAPI
    • 99.8 % CATI

    Percentage Of Proxy Interviews

    3.8 %

    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    (Eurostat (2013). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CH, Appendix 7, pp. 3-8)


    Coverage Adjustment Weight: Method

    (Eurostat (2013). National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRSSI), CH, Appendix 7, pp. 8-12)


  • ES - Spain

    Corresponding National Study

    Survey of Income and Living Conditions 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.


    Source Of Sampling Frame

    Municipal Register


    Sampling Design

    Probability

    • systematic
    • stratified
    • multi-stage


    Primary Sampling Units

    Census enumeration units


    Secondary Sampling Units

    Addresses


    Stratification Criteria

    In each Autonomous Community [self-ruling region], first-stage units were stratified by the size of the municipality to which the census section belonged.


    Number Of Rotational Groups

    4

    Start Date

    03-2013


    End Date

    07-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 81.1 % CAPI
    • 18.9 % CATI

    Percentage Of Proxy Interviews

    16.1 %

    Design Weight: Target

    Household


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    Adjustment for non-response is carried out by multiplying a certain factor to provide an estimate of the inverse probability of response in the stratum.


    Coverage Adjustment Weight: Method

    "The factor is weighted to adjust estimated distribution to the population distribution by Autonomous Community, age group and gender provided by the Demographic Projections Unit.
    We have also adjusted the estimated distribution of households by size to our estimate in the first quarter of the current year for the Labour Force Survey (Encuesta de Población Activa - EPA).
    For the calibration we used the CALMAR macro designed by the French Institut National de Statistique et Études Economiques (INSEE). "


  • NL - Netherlands

    Producer

    Statistics Netherlands


    Universe

    "The reference population of EU-SILC is all private households and their current members residing in the Netherlands at the time of data collection. The West Frisian Islands with the exception of Texel were excluded from the target population. This is also true
    for persons living in collective households and in institutions." NL 2013, p.5


    Sampling Design

    Probability

    • systematic
    • stratified
    • multi-stage


    Primary Sampling Units

    Municipality


    Secondary Sampling Units

    Addresses


    Stratification Criteria

    "The stratification variables used in this design are the 40 COROP-regions (NUTS3). These are regional areas within the Netherlands and are used for analytical purposes by, among others, Statistics Netherlands." (National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), NL 2013, p. 7)


    Number Of Rotational Groups

    4

    Start Date

    07-2013


    End Date

    08-2013


    Type Of Data Source

    Register,Survey


    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    9.6 %

  • EE - Estonia

    Producer

    Statistics Estonia


    Universe

    All Estonian citizens and those having a living permission. Persons living in collective households are included in the reference population.


    Source Of Sampling Frame

    Sampling frame for selection of new part of the sample was the 2011 Population and Housing Census. Census involves the data of all permanent residents, households and dwellings in Estonia.


    Sampling Design

    Probability

    • systematic
    • stratified
    • one stage


    Primary Sampling Units

    Households


    Secondary Sampling Units

    Not used


    Stratification Criteria

    Geographical stratification was used. The counties (and capital Tallinn) were grouped into three strata by the population size


    Number Of Rotational Groups

    4

    Start Date

    02-2013


    End Date

    06-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 98.5 % CAPI
    • 0.9 % CATI
    • 0.6 % PAPI

    Percentage Of Proxy Interviews

    18.1 %

    Design Weight: Target

    Household


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    Correction for non-response was done with logistic regression model predicting the response probability of the household. Auxiliary variables were: sex and age of address-person, county group and urbanization status (rural/urban).


    Coverage Adjustment Weight: Method

    "Non-response corrected weights were calibrated to reproduce known population totals.
    Calibration totals originated from demographic statistics published by Statistics Estonia with institutionalized persons deducted. Calibration was made on the following auxiliaries: County, Sex x age group; urbanization status (rural/urban).
    "


  • EL - Greece

    Producer

    Hellenic Statistical Authority


    Universe

    The reference population is all citizens officially living at Greek territory (population de facto).


    Source Of Sampling Frame

    Sampling frame for selection of new part of the sample was the 2011 Population and Housing Census. Census involves the data of all permanent residents, households and dwellings in Estonia.


    Sampling Design

    Probability

    • stratified
    • multi-stage


    Primary Sampling Units

    Area units


    Secondary Sampling Units

    Households


    Number Of Rotational Groups

    4

    Start Date

    06-2013


    End Date

    12-2013


    Type Of Data Source

    Survey


    Interview Mode

    • 3.3 % CAPI
    • 3.8 % CATI
    • 92.9 % PAPI

    Percentage Of Proxy Interviews

    7.5 %

    Design Weight: Target

    Household


    Design Weight: Method

    Inverse of Selection Probability


    Non-response Weight: Method

    "Within each design stratum, the non-response adjustment of the responding households is carried
    out by the inverse of the response rate, so as to “make up” for non-responding cases in that stratum. Target variable DB080 was adjusted for non-response for the variables DB 120 (record of contact at address) and DB 130 (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."


    Coverage Adjustment Weight: Method

    Calibration of the household and personal weights in conjunction is done with external data. The auxiliary variables used at household level are the household size, the tenure status and the region (NUTS2). At personal level the auxiliary variable used is the distribution of population by age and sex. The weights obtained after this procedure of calibration are the household cross-sectional weights. As all the household members reply to the household questionnaire, it is also the weight of each member of the household. The last step involves the calculation of the personal cross sectional weights for household members aged of 16+. The calibration procedure was applied again using as initial weights the weights of each member of the household and as auxiliary variable the distribution of population aged 16+ by age and sex.