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Study: EU-SILC 2012

Titles

Title European Union Statistics on Income and Living Conditions 2012

Abstract

EU-SILC 2012 contains the 2012 Module on housing conditions. The 2012 module includes eighteen variables of which sixteen should be asked at household level and two at personal level. For variables asked at household level, the mode of data collection is personal interview with the household respondent. For variables asked at individual level, the mode of data collection is personal interview with all current household members aged 16 years old and over or, if applicable, with the household selected respondent. Owing to the characteristics of the information to be collected, only personal interviews (proxy interviews as an exception for persons temporarily away or in incapacity) or extracted information from registers are allowed.

Coverage

Geographical Coverage

EU-27 member states and Iceland, Turkey, Norway and Switzerland. Test implementation: Croatia, the former Yugoslav Republic of Macedonia (FYROM) and Serbia.

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 (Eurostat (2013): DESCRIPTION OF TARGET VARIABLES: Cross-sectional and Longitudinal. 2012 operation (Version May 2013), p. 74).
The 2012 module variables relate to four types of reference periods:

  • Usual: an ordinary winter/summer, in the area where the dwelling is located (for the variables “dwelling comfortably warm during winter time” and “dwelling comfortably cool during summer time”).
  • Last five years (for the variables related to the “change of the dwelling”). It refers to the five years prior to the date of the interview.
  • Next six months (for the variables related to “risk of changing the dwelling”). It refers to the six months succeeding to the date of the interview.
  • Current (for all other variables).

(Eurostat (2013): 2012 EU-SILC MODULE ON HOUSING CONDITIONS. Assessment of the implementation, pp. 3-4.)

Notes

-

References

Country Specific Information: EU-SILC 2012

  • LV - Latvia

    National Reference

    Producer

    Central Statistical Bureau of Latvia

    Universe

    Persons living in private households within national territory

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 499

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Population Census 2000

    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.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2012

    End Date

    07-2012

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 65 % CAPI
    • 31 % CATI
    • 4 % PAPI

    Percentage Of Proxy Interviews

    22.2 %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The design weights adjusted for outliers were adjusted for non-response (in the household level) in each primary non-response group (NR-group) with correction coefficients. Non-response groups were defined as a set of variables – 4 rotational groups (DB075), 6 regions and 4 strata.

    Coverage Adjustment Weight: Method

    Cross-sectional weights were calibrated on a basis of demographic data by breaking them down by a degree of urbanization (3 groups), 11 age groups and sex. Another variable was demographic data by 6 statistical regions of Latvia.

    Notes

    -

    References

  • LU - Luxembourg

    National Reference

    Corresponding National Study

    -

    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

    -

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 031

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    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.

    Panel Design

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    37.2 %

    Weighting

    Notes

    -

    References

  • LT - Lithuania

    National Reference

    Producer

    Statistics Lithuania

    Universe

    The target population of EU-SILC is all persons living in private households within the national territory of Lithuania at the time of data collection. Collective households and institutions are excluded from the target population.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 394

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    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.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2012

    End Date

    06-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 14 % CAPI
    • 35 % CATI
    • 50 % PAPI
    • 1 % Self-administered

    Percentage Of Proxy Interviews

    16.3 %

    Weighting

    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

    Notes

    -

    References

  • HR - Croatia

    National Reference

    Corresponding National Study

    Croatian Bureau of Statistics

    Producer

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

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 853

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    • Probability
    • multi-stage

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2012

    End Date

    06-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    40.8 %

    Weighting

    Notes

    No national quality report available.

    References

    Eurostat: Comparative EU Quality Report 2012.
    EU-SILC 2012 Data: RB250, RB260.
    CIMES (Centralising and Integrating Metadata from European Statistics)

  • RO - Romania

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 7 598

    Available Data

    • Cross-sectional

    Sampling Procedure

    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).

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Weighting

    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’’.

    Notes

    -

    References

  • NO - Norway

    National Reference

    Producer

    Statistics Norway

    Universe

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

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 050

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    The sampling frame is a copy of the central population register called BEREG. This register is daily updated with information from local population register offices.

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Stratification Criteria

    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.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2012

    End Date

    07-2012

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    35.8 %

    Weighting

    Design Weight: Target

    Person

    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.

    Notes

    -

    References

  • HU - Hungary

    National Reference

    Producer

    Hungarian Central Statistical Office

    Universe

    The target population of EU-SILC is the Hungarian population
    living in private household in the territory of Hungary.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 13 991

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

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

    Sampling Design

    • Probability
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Census enumeration units

    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.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2012

    End Date

    04-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    19.79 %

    Weighting

    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.

    Notes

    -

    References

  • FR - France

    National Reference

    Corresponding National Study

    Statistiques sur les Ressources et les Conditions de Vie

    Producer

    INSEE - National Institute for Statistics and Economic Studies

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 11 999

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    9

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    26.2 %

    Weighting

    Notes

    -

    References

    Eurostat: EU Comparative Quality Report 2012.
    EU-SILC Data 2012: RB250, RB260.

  • BG - Bulgaria

    National Reference

    Producer

    National Statistical Institute

    Universe

    "All citizens officially living at Bulgarian territory (population de facto).
    The definition of household that Eurostat recommends is used."

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 971

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Population Census 2011

    Sampling Design

    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.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2013

    End Date

    07-2013

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    15.8 %

    Weighting

    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).

    Notes

    -

    References

    "2013 National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS), BG
    EU-SILC Data 2013: Data RB250, RB260."

  • BE - Belgium

    National Reference

    Corresponding National Study

    -

    Producer

    Statistics Belgium

    Universe

    All private households and their current members residing in the territory.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 817

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    • Probability

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2012

    End Date

    12-2012

    Type Of Data Source

    Survey

    Percentage Of Proxy Interviews

    19.6 %

    Weighting

    Notes

    No national quality report available.

    References

    Eurostat: Comparative EU Quality Report 2012.
    EU-SILC Data 2012: Data RB250, RB260.

  • DE - Germany

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 13 145

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Percentage Of Proxy Interviews

    25.7 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC Data 2012: Data RB250, RB260.

  • DK - Denmark

    National Reference

    Producer

    Statistics Denmark

    Universe

    Persons aged 13+ living in private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 355

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2012

    End Date

    07-2012

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 41 % CATI
    • 59 % Self-administered

    Percentage Of Proxy Interviews

    50.8 %

    Weighting

    Notes

    No national quality report available.

    References

    Eurostat: EU Comparative Quality Report 2012.
    EU-SILC Data 2012: Data RB250, RB260.

  • FI - Finland

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 10 307

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    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

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2012

    End Date

    05-2012

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 3 % CAPI
    • 97 % CATI

    Percentage Of Proxy Interviews

    45.4 %

    Weighting

    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.

    Notes

    -

    References

  • IE - Ireland

    National Reference

    Producer

    Central Statistics Office (CSO)

    Universe

    Persons aged 16 years and over living in private households

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size -

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    21.9 %

    Weighting

    Notes

    No national quality report available.

    References

    EU-SILC 2012 Data: RB250, RB260.
    CIMES.

  • AT - Austria

    National Reference

    Producer

    Statistics Austria

    Universe

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

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 232

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

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

    Sampling Design

    • Probability
    • stratified
    • one stage

    Primary Sampling Units

    Dwellings

    Secondary Sampling Units

    Not used

    Stratification Criteria

    The sample of the first wave was stratified according to 206 interviewer units (Sprengel). These are regional divisions of federal territory which may be approximately combined to Austrian provinces (NUTS 2 units).

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2012

    End Date

    08-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 57 % CAPI
    • 43 % CATI

    Percentage Of Proxy Interviews

    9.5 %

    Weighting

    Design Weight: Target

    Household

    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

    Notes

    -

    References

  • CZ - Czech Republic

    National Reference

    Corresponding National Study

    -

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 8 773

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    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.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2012

    End Date

    05-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 37 % CAPI
    • 63 % PAPI

    Percentage Of Proxy Interviews

    23.2 %

    Weighting

    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).

    Notes

    -

    References

  • CY - Cyprus

    National Reference

    Corresponding National Study

    Survey of Income and Living Conditions

    Producer

    Statistical Service of Cyprus

    Universe

    All the households and their members living in the areas under the effective control of the Government of the Republic of Cyprus. Population in collective households and institutions is excluded.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 638

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    The sampling frame used for the 2012, survey was almost completely updated. It 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).

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2012

    End Date

    09-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    16.84 %

    Weighting

    Notes

    -

    References

  • SE - Sweden

    National Reference

    Producer

    Statistics Sweden

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 628

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2012

    End Date

    12-2012

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    2.3 %

    Weighting

    Notes

    No national quality report available.

    References

    Eurostat: EU Comparative Quality Report 2012.
    EU-SILC 2012 Data: RB250, RB260.

  • SI - Slovenia

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 9 205

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    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.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2012

    End Date

    06-2012

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 48 % CAPI
    • 52 % CATI

    Percentage Of Proxy Interviews

    20.1 %

    Weighting

    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.

    Notes

    -

    References

  • SK - Slovakia

    National Reference

    Producer

    The Statistical Office of the Slovak Republic

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 291

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    3.9 %

    Weighting

    Notes

    No national quality report available.

    References

    Eurostat: EU Comparative Quality Report 2012.
    EU-SILC 2012 Data: RB250, RB260.

  • IS - Iceland

    National Reference

    Producer

    Statistics Iceland

    Universe

    People in private households

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 3 091

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    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

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2012

    End Date

    05-2012

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    0.2 %

    Weighting

    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.

    Notes

    -

    References

  • UK - Great Britain

    National Reference

    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

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 10 176

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Postcode Address File (PAF)

    Sampling Design

    Panel Design

    Data Collection

    Start Date

    05-2012

    End Date

    12-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    20.6 %

    Weighting

    Notes

    -

    References

  • IT - Italy

    National Reference

    Producer

    Italian National Institute of Statistics

    Universe

    All persons living in private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 19 579

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Registers of the municipalities

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Households

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2012

    End Date

    12-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    27.2 %

    Weighting

    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).

    Notes

    -

    References

  • MT - Malta

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 350

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    2005 Census of Population & Housing

    Sampling Design

    • Probability
    • random
    • not stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Not applicable

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2012

    End Date

    08-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    30.3 %

    Weighting

    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.

    Notes

    -

    References

  • PL - Poland

    National Reference

    Producer

    Central Statistical Office of Poland

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 13 116

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    06-2012

    End Date

    07-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    21.2 %

    Weighting

    Notes

    No national quality report available.

    References

    Eurostat: EU Comparative Quality Report 2012.
    EU-SILC 2012 Data: RB250, RB260.

  • PT - Portugal

    National Reference

    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) by the end of 2011.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 257

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Census of Population and Housing (Census/2001)

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The primary sampling units are stratified by NUTS III.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2012

    End Date

    07-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    35.13 %

    Weighting

    Notes

    -

    References

  • CH - Switzerland

    National Reference

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 7 529

    Available Data

    • Cross-sectional

    Sampling Procedure

    Sampling Design

    • Probability

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    3.5 %

    Weighting

    Notes

    No national quality report available.

    References

    Eurostat: EU Comparative Quality Report 2012.
    EU-SILC Data 2012: Data RB250, RB260.

  • ES - Spain

    National Reference

    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.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 12 714

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    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.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2012

    End Date

    07-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 86 % CAPI
    • 14 % CATI

    Percentage Of Proxy Interviews

    8.1 %

    Weighting

    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).

    Notes

    -

    References

  • NL - Netherlands

    National Reference

    Producer

    Statistics Netherlands

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 10 168

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    07-2012

    End Date

    10-2012

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    1.6 %

    Weighting

    Notes

    No national quality report available.

    References

    Eurostat: EU Comparative Quality Report 2012.
    EU-SILC 2012 Data: RB250, RB260.

  • EE - Estonia

    National Reference

    Producer

    Statistics Estonia

    Universe

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

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 433

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Sampling frame for selection of the new part of the sample was the Population Register of Estonia. This is the document-based register of Estonian citizens and those having a living permission.

    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

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2012

    End Date

    05-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 98 % CAPI
    • 1 % CATI
    • 1 % PAPI

    Percentage Of Proxy Interviews

    24 %

    Weighting

    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).

    Notes

    -

    References

  • EL - Greece

    National Reference

    Producer

    Hellenic Statistical Authority

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 626

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    06-2012

    End Date

    06-2012

    Type Of Data Source

    Survey

    Interview Mode

    • 2 % CAPI
    • 8 % CATI
    • 90 % PAPI

    Percentage Of Proxy Interviews

    8 %

    Weighting

    Notes

    No national quality report available.

    References

    Eurostat: EU Comparative Quality Report 2012.
    EU-SILC Data 2012: Data RB250, RB260.