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Study: EU-SILC 2007

Titles

Title European Union Statistics on Income and Living Conditions 2007

Abstract

EU-SILC 2007 contains the 2007 Module on housing conditions. The 2007 Module variables relate to two types of units: the household (all variables except those related to the 'change of dwelling'), and the household respondent (variables related to the 'change of dwelling').

Coverage

Geographical Coverage

EU-27 member states and Iceland, Turkey, Switzerland (first implementation) and Norway . First implementation in Romania.

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 the 2007 Module: 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 two years (for the variables related to the 'change of dwelling'). Current (for all other variables). (Eurostat (2009): EU-SILC MODULE 2007 ON HOUSING CONDITIONS Assessment of the implementation, pp. 3-4.)

Notes

-

References

Country Specific Information: EU-SILC 2007

  • LV - Latvia

    National Reference

    Corresponding National Study

    -

    Producer

    Central Statistical Bureau of Latvia

    Universe

    All persons aged 16+ at the end of the income reference period were selected for a personal interview.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 471

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Population Census 2000 (first stage) and Population register (second stage)

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Addresses

    Stratification Criteria

    The stratification was made depending on a degree of urbanization of the area. Riga (the capital city), six largest towns, other towns and rural areas form four strata.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2007

    End Date

    11-2007

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 81.16 % CAPI
    • 7.48 % CATI
    • 11.31 % PAPI
    • 0.05 % Self-administered

    Percentage Of Proxy Interviews

    5.36 %

    Weighting

    Design Weight: Target

    Address

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The design weights adjusted for outliers were adjusted for non-response (in household level) in each primary sampling unit with correction coefficients.

    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

    2007 Final Quality Report LV,
    2010 Final Quality Report LV,
    2007 Intermediate Quality Report LV,
    EU-SILC Data 2007

  • 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 3 885

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Luxembourg Social Security database (IGSS) + Sample of international civil servants

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Sampling Method

    In 2003, first year of the survey, two samples are drawn independently:

    • A sample of "tax" households, which are in fact a group of persons who depends on the same Social Security system.
    • A sample of dwellings wherein none of the members depends on Luxembourgish Social Security system.
    • A "tax household" is basically a group of persons living in the same dwelling and who depend on the same Luxembourgish Social Security system.

     

    Panel Design

    Data Collection

    Start Date

    01-2007

    End Date

    06-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    23.00 %

    Weighting

    Notes

    -

    References

    2007 Comparative EU Intermediate Quality Report,
    2008 Comparative EU Intermediate Quality Report,
    EU-SILC Data 2007

  • LT - Lithuania

    National Reference

    Corresponding National Study

    -

    Producer

    Statistics Lithuania

    Universe

    Persons aged 16+ included in the Residents' Register.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 975

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Residents' Register

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Stratification Criteria

    The stratification is done by the degree of urbanization into 7 strata (5 largest cities, other cities and rural area).

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2007

    End Date

    07-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 3.79 % CATI
    • 95.32 % PAPI
    • 0.89 % Self-administered

    Percentage Of Proxy Interviews

    20.30 %

    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.

    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.

    Notes

    -

    References

    2007 Final Quality Report LT,
    2007 Intermediate Quality Report LT,
    2007 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2007

  • 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

    All citizens officially living in private households in Romania.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 8 031

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    The sample of census enumeration units (PSU) is drawn from

    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 were 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

    06-2007

    End Date

    06-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    19.85 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    Data are reweighted by adjusting the weights of the responding households with the inverse of
    the response rate. As explicative variables for nonresponse,
    region and area of residence (urban/ rural) are used. For the second, third and fourth wave the region is used.

    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. Calibration variables were distribution of the population by age group, area of residence (urban/
    rural) and gender using Romanian Population Estimates at the end of the income reference period and households totals by region.

    Notes

    -

    References

    2007 Final Quality Report RO,
    2007 Intermediate Quality Report RO,
    2007 Comparative EU Final Quality Report,
    EU-SILC Data 2007

  • NO - Norway

    National Reference

    Corresponding National Study

    -

    Producer

    Statistics Norway

    Universe

    Persons aged 16+ registered in the central population register.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 013

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Register of participants in the Population and housing census in 1990 (FoB90).

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Individuals

    Stratification Criteria

    The standard sampling frame is first divided into a number of primary sampling areas and these again are divided into 109 subpopulations, called strata.

    Panel Design

    Number Of Rotational Groups

    8

    Data Collection

    Start Date

    01-2007

    End Date

    07-2007

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 0.6 % CAPI
    • 99.4 % CATI

    Percentage Of Proxy Interviews

    27.0 %

    Weighting

    Design Weight: Target

    Household

    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. The weights are then calculated as ‘gross
    sample n / net sample n’ in each stratum.

    Coverage Adjustment Weight: Method

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

    Notes

    -

    References

    2007 Final Quality Report NO,
    2007 Intermediate Quality Report NO,
    2007 EU Comparative Quality Report,
    EU-SILC Data 2007

  • HU - Hungary

    National Reference

    Corresponding National Study

    -

    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 8 737

    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
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    Localities of Hungary were stratified by size.

    Sampling Method

    The Hungarian EU-SILC survey was a supplementary survey in 2005, the new rotational group in 2006 was standalone and newly introduced rotational group in 2007 was similar. It has a stratified two stage sample design in a part of the population (part I, type I), while a stratified one stage sample design on the other part of the population (part II, type II). Part II population consists of mostly the bigger localities, part I consists of the rest.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2007

    End Date

    05-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    20.13 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    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

    2007 Intermediate Quality Report HU,
    EU-SILC Data 2007

  • BG - Bulgaria

    National Reference

    Corresponding National Study

    -

    Producer

    Bulgaria National Statistical Institute

    Universe

    The data base includes all private households and their current members residing in the country.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 270

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    Population census 2001

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Households

    Stratification Criteria

    The sample is stratified by administrative-territorial districts in the country (NUTS3) and the household’s location. As a result 56 strata are formed (28 of urban and 28 of rural population). Municipalities and settlements are ranged according to the number of their population within each stratum.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2007

    End Date

    08-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    30.11 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The design weights were modified by a factor inversely proportional to
    the response rate within each "homogeneous group". Coefficients of these corrections were computed separately according to classes of locality as ratios: sum of design weights of selected units to the sum of design weights of responding units.

    Coverage Adjustment Weight: Method

    Calibration is done on individual-level data, imposing equality of g-weights for individuals in the same household. We used truncated linear function in order to limit g-weights close enough to 1.

    Notes

    -

    References

    2007 Final Quality Report BG,
    2007 Intermediate Quality Report BG,
    2007 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2007

  • 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 10 498

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    1999 Census + Sampling frame of new dwellings

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Dwellings

    Panel Design

    Number Of Rotational Groups

    9

    Data Collection

    Start Date

    05-2007

    End Date

    07-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    27.9 %

    Weighting

    Notes

    -

    References

    2007 EU Comparative Intermediate QR,
    EU-SILC Data 2007

  • BE - Belgium

    National Reference

    Corresponding National Study

    -

    Producer

    Statistics Belgium

    Universe

    All household members 16+ at the time of the interview are selected for a personal interview.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 6 348

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central Population Register

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Households

    Stratification Criteria

    The stratification criterion is the region (NUTS2 level). The 11 strata are the 10 provinces of Belgium and the Brussels Capital Region.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2007

    End Date

    11-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    14.23 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    For the “old” households, nonresponse can be linked with SILC information. To explain initial nonresponse for the “new” households auxiliary information from the Population Register (household size, urban/rural character) and the Financial Statistics (median fiscal income by municipality) is needed.

    Coverage Adjustment Weight: Method

    Calibration can be done together for “old” and “new” households.

    Notes

    -

    References

    2007 Final Quality Report BE,
    2007 Intermediate Quality Report BE,
    2007 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2007

  • 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 14 153

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    German micro census

    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

    21.2 %

    Weighting

    Notes

    No national quality report available.

    References

    2007 EU Comparative Quality Report.
    EU-SILC 2007 Data: RB250, RB260.

  • DK - Denmark

    National Reference

    Corresponding National Study

    -

    Producer

    Statistics Denmark

    Universe

    Persons aged 13+ living in private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 783

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Register of Population of Statistics Denmark

    Sampling Design

    • Probability
    • random
    • not stratified
    • one stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Not applicable.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 94.19 % CATI
    • 5.81 % Self-administered

    Percentage Of Proxy Interviews

    49.13 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    Calibration using external data.

    Coverage Adjustment Weight: Method

    Adjustment are based on a calibration using external data on the household level. All external data are based on variables in administrative registers. In addition to correcting for bias due to non-response on the household level, the SILC cross-sectional weights should reproduce certain demographic and poverty distributions on the personal level. Therefore some data on the personal level have been integrated in the calibration, that is socio-economic status and poverty, age, sex and poverty, family type, education, equivalised income group, income mass and income groups.

    Notes

    -

    References

    2007 Final Quality Report DK,
    2007 Intermediate Quality Report DK,
    2007 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2007

  • FI - Finland

    National Reference

    Corresponding National Study

    -

    Producer

    Statistics Finland

    Universe

    The population register data included 4,233,729 non-institutional persons aged 16+.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 10 624

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Population Information System

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    Stratification is done by socio-economic categorisation of the household-dwelling units (wage earners, entrepreneurs, farmers, pensioners, others and information on taxable income level, 13 strata).

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2007

    End Date

    06-2007

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 3.38 % CAPI
    • 96.62 % CATI

    Percentage Of Proxy Interviews

    44.14 %

    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 nonresponse-adjusted weights were adjusted for the number of survey years households in each wave and then used as input weights in calibration (the raking method) conducted with the macro CALMAR for the accepted households. The calibration process was carried out separately for all waves (rotation groups). The calibration could be interpreted as integrative, i.e. both the household and the person levels were included in the process.

    Notes

    -

    References

    2007 Final Quality Report FI,
    2007 Intermediate Quality Report FI,
    EU-SILC Data 2007

  • IE - Ireland

    National Reference

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size -

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Sampling Design

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    -

    End Date

    -

    Weighting

    Notes

    -

    References

  • 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 6 806

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central registration register ZMR (Zentrales Melderegister)

    Sampling Design

    • Probability
    • random

    Primary Sampling Units

    Dwellings

    Secondary Sampling Units

    Not used

    Stratification Criteria

    The sample was stratified by geographical units ("Sprengel").

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2007

    End Date

    09-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 93.99 % CAPI
    • 6.01 % CATI

    Percentage Of Proxy Interviews

    19.88 %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    For the estimation of weights a logistic regression model was set up to predict response probabilities.

    Coverage Adjustment Weight: Method

    As reference data base the average of the four quarters of the Microcensus 2007 was chosen. Additionally data from the main association of Austrian Social Security Institutions were used to provide an accurate number of people who were receiving unemployment benefits. The adjustments were carried out on household and individual level and were done with reference to the variables household size, tenure status, region, sex and age.

    Notes

    -

    References

    2007 Final Quality Report AT,
    2008 Final Quality Report AT,
    2007 Intermediate Quality Report AT,
    2008 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2007

  • 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. This includes also foreign nationals and subtenants living in the selected dwelling.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 9 675

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Census Enumeration Districts

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The stratification is done by geographical criteria (NUTS4) and the municipality size (< 2.000 inhabitants; 2.000-9.999 inhabitants; 10.000 – 49.999 inhabitants and 50 000 < inhabitants).

    Panel Design

    Number Of Rotational Groups

    3

    Data Collection

    Start Date

    02-2007

    End Date

    04-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 99.68 % PAPI
    • 0.32 % Self-administered

    Percentage Of Proxy Interviews

    8.86 %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    None

    Non-response Weight: Method

    Second wave households utilized information, which was obtained from previous SILC wave, and to adjust their previous year weights for attrition. Therefore, united calibration for all the waves was used as the method for correcting non-response.

    Coverage Adjustment Weight: Method

    For the adjustments to external data the following calibration variables were used: number of inhabited dwellings in each NUTS3 region (based on the 2001 Census continuously updated from administrative sources of construction authorities) and population characteristics (population totals in each NUTS3 region, economic activity in each NUTS3 region, demographic characteristics at the national level).

    Notes

    -

    References

    2007 Final Quality Report CZ,
    2007 Intermediate Quality Report CZ,
    2007 Intermediate Quality Report EU,
    EU-SILC Data 2007

  • CY - Cyprus

    National Reference

    Corresponding National Study

    -

    Producer

    Statistical Service of Cyprus

    Universe

    The reference population is all households and their members living in the areas under the effective control of the Government of the Republic of Cyprus.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 3 505

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    2001 Census of Population

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Stratification is done by geographical criterion into 9 strata.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2007

    End Date

    08-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 99.97 % CAPI
    • 0.03 % PAPI

    Percentage Of Proxy Interviews

    17.50 %

    Weighting

    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.

    Notes

    -

    References

    2007 Final Quality Report CY,
    2007 Intermediate Quality Report CY,
    EU-SILC Data 2007

  • SE - Sweden

    National Reference

    Corresponding National Study

    -

    Producer

    Statistics Sweden

    Universe

    The whole Swedish population except short-term migrants (3-12 months)

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 7 183

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Total Population Register of Sweden

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Not used

    Stratification Criteria

    /

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2007

    End Date

    12-2007

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    4.08 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    From the register of total population, the number of individuals are counted within groups of sex and age. These categories generate 16 poststrata. Stratum 1- 8 contains men and stratum 9-16 women. All members in the sampled individuals household belong to the same poststratum. The non-response adjustment is carried out by straight expansion within each poststratum.

    Coverage Adjustment Weight: Method

    From the register of total population (RTP) we compute the number of individuals and the number households according to married people within each stratum when the sample is drawn. We have no possibilities to calibrate with other external data.

    Notes

    -

    References

    2007 Final Quality Report SE,
    2007 Intermediate Quality Report SE,
    2007 Intermediate Quality Report SE,
    2007 Final Quality Report SE,
    2007 EU Comparative Final Quality Report,
    EU-SILC Data 2007

  • SI - Slovenia

    National Reference

    Corresponding National Study

    -

    Producer

    Statistical Office of the Republic of Slovenia

    Universe

    Persons aged 16+ living in Slovenia.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 8 707

    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

    02-2007

    End Date

    06-2007

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 44.50 % CAPI
    • 55.50 % CATI

    Percentage Of Proxy Interviews

    26.54 %

    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. Then the non-response adjustment factor is calculated.

    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.

    Notes

    -

    References

    2007 Final Quality Report SI,
    2008 Final Quality Report SI,
    2010 Final Quality Report SI,
    2007 Comparative EU Final Quality Report,
    2007 Intermediate Quality Report SI,
    EU-SILC Data 2007

  • SK - Slovakia

    National Reference

    Corresponding National Study

    -

    Producer

    The Statistical Office of the Slovak Republic

    Universe

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

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 941

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    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.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2007

    End Date

    04-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 99.35 % PAPI
    • 0.65 % Self-administered

    Percentage Of Proxy Interviews

    6.39 %

    Weighting

    Design Weight: Target

    Household

    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. We used dividing households into strata (region and rotational group) and we resulted from assumption that each household in stratum has the same probability of response. Then the empirical value of the response rate within the stratum gives the estimate of the probability of response for each household in the stratum.

    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.

    Notes

    -

    References

    2007 Final Quality Report SK,
    2007 Intermediate Quality Report SK,
    2007 Comparative EU Final Quality Report,
    EU-SILC Data 2007

  • IS - Iceland

    National Reference

    Corresponding National Study

    -

    Producer

    Statistics Iceland

    Universe

    Persons 16+ living in private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 2 872

    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

    Post stratification weights are based on age, sex and residence.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2007

    End Date

    07-2007

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    0 %

    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 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

    2007 Final Quality Report IS,
    2007 Intermediate Quality Report IS,
    2007 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2007

  • UK - Great Britain

    National Reference

    Corresponding National Study

    • General Household Survey
    • Living Conditions Survey (Northern Ireland)

    Producer

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

    Universe

    Adults aged 16+.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 9 275

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Postcode address file

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Postecode sectors

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    Stratification is done by postcode sectors (allocated to 30 major strata).

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2007

    End Date

    02-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    9.34 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    For the first wave for a given rotational group, information from the 2001 Census and GHS is used to weight for non-response. This was done using 2001 data and response classes were formed based on propensity to respond, given certain characteristics. For EU-SILC, households are given a different non-response weight depending on the response class to which they belong.

    Coverage Adjustment Weight: Method

    The population totals of the number of people living in private households within the UK are broken down by 12 age by sex categories and seven regional categories to give 19 calibration groups as shown below. A generalised regression model is then used to produce a set of calibration weights at a household level, such that the sum of the weights across persons within each of the calibration groups equal the population totals.
    This procedure is carried out using Stats Canada’s GES package. The calibration weight is applied to the product of the design weights and non-response weight.

    Notes

    -

    References

    2007 Final Quality Report UK,
    2007 Comparative Intermediate EU Quality Report,
    EU-SILC Data 2007

  • IT - Italy

    National Reference

    Corresponding National Study

    -

    Producer

    Istat: National Institute for Statistics

    Universe

    All persons living in private households.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 20 982

    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

    Stratification Criteria

    Stratification of PSU is done by the number of inhabitants in order to have an approximately constant number of inhabitants in each stratum. SSUs are not stratified.

    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

    16.42 %

    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 (wave 1) or gathered from the previous year of survey (wave 2, 3, 4).

    Coverage Adjustment Weight: Method

    The final weights were obtained applying a calibration of the household weights to external data sources (registers).

    Notes

    -

    References

    2007 Final Quality Report IT,
    2007 Intermediate Quality Report IT,
    EU-SILC Data 2007

  • PT - Portugal

    National Reference

    Corresponding National Study

    -

    Producer

    Statistics Portugal

    Universe

    All private households and their current members living in Portugal (Mainland, Açores and Madeira) by the end of 2006.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 310

    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 (areas of the Master Sample) are stratified by NUTS 3 but for EU-SILC purposes a sub-sample of areas were selected independently in each NUTS 2.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2007

    End Date

    07-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 92.01 % CAPI
    • 7.99 % PAPI

    Percentage Of Proxy Interviews

    16.33 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The non-response adjustment depends on the number of times the panel is being surveyed. A response probability is calculated in each region NUTS II and therefore it is assumed that all units have the same response propensity within the region they belong to.

    Coverage Adjustment Weight: Method

    Adjustments are made for the whole sample (combining the four sub-samples) at household and person level using the SAS macro CALMAR. An integrative calibration is applied to ensure consistency between household and persons because all household members receive the same cross-sectional weight of the household they belong to. In the case of the households the calibration variables are “number of households by household size (1, 2, 3 and 4 or more household members)” and “number of households by NUTS II”. The source of the information is the Labour Force Survey at the second quarter of 2007. The calibration variables for persons are the distribution of the population by five year age groups and gender according to the Independent Estimates of the Population in 31/12/2006.

    Notes

    -

    References

    2007 Intermediate Quality Report PT,
    EU-SILC Data 2007

  • PL - Poland

    National Reference

    Corresponding National Study

    -

    Producer

    Central Statistical Office of Poland

    Universe

    Private households and all household members 16+.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 14 286

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    TERYT system, i.e. Domestic Territorial Division Register

    Sampling Design

    • Probability
    • random
    • stratified
    • multi-stage

    Primary Sampling Units

    Census enumeration units

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The strata were the voivodships (NUTS2), those in primary sampling units were classified by class of locality. In urban areas census enumeration areas were grouped by
    size of town, the five largest districts were treated as strata. In rural areas strata were represented by rural gminas (NUTS5) of a subregion (NUTS3) or of a few neighbouring
    poviats (NUTS4). Altogether 211 strata were distinguished.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    05-2007

    End Date

    06-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    17.18 %

    Weighting

    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

    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.

    Notes

    -

    References

    2007 Final Quality Report PL,
    2010 Final Quality Report PL,
    2007 Intermediate Quality Report PL,
    2007 Comparative EU Final QR,
    2008 Comparative EU Final QR,
    EU-SILC Data 2007

  • GR - Greece

    National Reference

    Corresponding National Study

    -

    Producer

    Hellenic Statistical Authority

    Universe

    The reference population is all citizens officially living at Greek territory. It includes all private households and their current members residing in the territory, independently of any socio-economic characteristics they may have.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 643

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Census Population

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Area units

    Secondary Sampling Units

    Households

    Stratification Criteria

    There are two levels of stratifications: a geographical stratification (NUTS2) into 13 standard administrative regions at the first stage and next, within each NUTS2, another one is done by degree of urbanization and population size. The total number of strata was 90.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2007

    End Date

    06-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 14.89 % CAPI
    • 2.10 % CATI
    • 80.75 % PAPI
    • 2.26 % Self-administered

    Percentage Of Proxy Interviews

    6 %

    Weighting

    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.

    Coverage Adjustment Weight: Method

    Calibration of household and personal weights in conjunction is done with external data.

    Notes

    -

    References

    2007 Final Quality Report EL,
    2007 Intermediate Quality Report EL,
    2007 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2007

  • ES - Spain

    National Reference

    Corresponding National Study

    Survey of Income and Living Conditions Spain

    Producer

    Spanish Statistical Office

    Universe

    Members of private households residing at main family addresses, and the households themselves.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 12 329

    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

    Dwellings

    Stratification Criteria

    The stratification is done by the size of the municipality to which the census section belonged into 7 strata at first stage. An independent sample was designed in each Autonomous Community to represent it in order to have regional data.

    Sampling Method

    There is no stratification and no sub-sampling within second stage, all households usually residing in those addresses were surveyed.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2007

    End Date

    07-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 92.94 % CAPI
    • 7.06 % CATI

    Percentage Of Proxy Interviews

    41.69 %

    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 above 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 (EPA).

    Notes

    -

    References

    2007 Final Quality Report ES,
    2007 Intermediate Quality Report ES,
    2007 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2007

  • NL - Netherlands

    National Reference

    Corresponding National Study

    -

    Producer

    Statistics Netherlands

    Universe

    All registered persons living in the Netherlands aged 16+.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 10 219

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    1. Households which participated in LFS survey and are willing to cooperate also to EU-SILC survey (over 16). 2. All residents over 65 (set of addresses from Population Register).

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Addresses

    Stratification Criteria

    Stratification involves the division of the population into strata from which
    independent samples are taken. It is done by geographical criteria (NUTS3) into 40 strata.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    06-2007

    End Date

    10-2007

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    4.70 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The method of logistic regression was adopted to approximate the response probabilities for the new
    rotational group. The response probabilities were modelled by the explanatory variables age, degree of
    urbanisation, type of household, and labour force status. For the old rotational groups a proper model
    could not be fitted using logistic regression. Therefore the response probabilities were considered equal
    for all persons in the response.

    Coverage Adjustment Weight: Method

    The calibration was performed using linear consistent weighting, so that individuals within the household have identical weights equal to the household weight. The set of variables used for calibration includes the smaller subset suggested by Eurostat (in document EU-SILC 065/04). Additional calibration variables that correlate strongly with the target variables were added: income data and data on tenure status from the
    income register.

    Notes

    -

    References

    2007 Final Quality Report NL,
    2007 Intermediate Quality Report NL,
    2007 Comparative EU Final Quality Report,
    EU-SILC Data 2007

  • EE - Estonia

    National Reference

    Corresponding National Study

    -

    Producer

    Statistics Estonia

    Universe

    All Estonian citizens and those having a living permission.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 5 146

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Population Register of Estonia

    Sampling Design

    • Probability
    • systematic
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Stratification Criteria

    The stratification is done by geographical criteria and population size into three strata (big counties,
    small counties and Hiiu County).

    Panel Design

    Number Of Rotational Groups

    5

    Data Collection

    Start Date

    03-2007

    End Date

    07-2007

    Type Of Data Source

    Survey

    Interview Mode

    • 97.60 % CAPI
    • 0.21 % CATI
    • 2.17 % PAPI
    • 0.02 % Self-administered

    Percentage Of Proxy Interviews

    11.24 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    Correction for nonresponse 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

    Calibration was performed using population data from Estonial Population Register according to sex, age-groups, county and urbanization.

    Notes

    -

    References

    2007 Final Quality Report EE,
    2007 Intermediate Quality Report EE,
    2007 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2007