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Study: EU-SILC 2006

Titles

Title European Union Statistics on Income and Living Conditions 2006

Abstract

EU-SILC 2006 contains the 2006 Module on social participation. The Module information is provided for all current household members, or if applicable for all selected respondents, aged 16 years old and over.

Coverage

Geographical Coverage

EU-25 member states and Bulgaria (first implementation), Iceland, Turkey (first implementation) and Norway.

Time Period Covered

Reference period for core variables: constant, at selection, income reference persiod, usual week, last 4 weeks, last 12 months, since last year, working life, childcare reference period. The reference period for the 2006 Module: 'Last 12 months' is used for variables related to participation in cultural events, and participation in formal and informal activities. 'Usual' is used for variables related to integration with relatives and friends. 'Usual' refers to the usual frequency with which the activities take place during a normal year. 'Current' for the variable PS090 (Ability to ask any relative, friend or neighbour for help).

Notes

-

References

Eurostat (2010): EU-SILC MODULE 2006 ON SOCIAL PARTICIPATION Assessment of the implementation.

_x005F_x000D_/n

Eurostat: DESCRIPTION OF SECONDARY TARGET VARIABLES: Module 2006.

Country Specific Information: EU-SILC 2006

  • 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 4 315

    Available Data

    • Cross-sectional

    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

    03-2006

    End Date

    11-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 81.88 % CAPI
    • 4.66 % CATI
    • 13.37 % PAPI
    • 0.09 % Self-administered

    Percentage Of Proxy Interviews

    6.63 %

    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

    2006 Final Quality Report LV,
    2008 Final Quality Report LV,
    2006 Intermediate Quality Report LV,
    EU-SILC Data 2006

  • 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

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 3 836

    Available Data

    • Cross-sectional

    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

    02-2006

    End Date

    06-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    25.30 %

    Weighting

    Notes

    -

    References

    2006 Comparative EU Final Quality Report,
    2007 Comparative EU Final Quality Report,
    2008 Comparative EU Final Quality Report,
    EU-SILC Data 2006

  • 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 4 660

    Available Data

    • Cross-sectional

    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

    05-2006

    End Date

    07-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 2.67 % CATI
    • 95.70 % PAPI
    • 1.63 % Self-administered

    Percentage Of Proxy Interviews

    16.45 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Notes

    -

    References

    2006 Final Quality Report LT,
    2006 Intermediate Quality Report LT,
    2006 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2006

  • 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 5768

    Available Data

    • Cross-sectional

    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

    02-2006

    End Date

    07-2006

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 0.63 % CAPI
    • 99.37 % CATI

    Percentage Of Proxy Interviews

    29.18 %

    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

    2006 Final Quality Report NO,
    2006 Intermediate Quality Report NO,
    2006 EU Comparative Quality Report,
    EU-SILC Data 2006

  • HU - Hungary

    National Reference

    Corresponding National Study

    -

    Producer

    Hungarian Central Statistical Office

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 7 722

    Available Data

    • Cross-sectional

    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

    In 2005 the sample of the Hungarian EU-SILC survey was a sub-sample of the Income survey sample which was a sub-sample of the micro census sample. It has a stratified two stage sample design in a part of the population (part I, type I, one PSU per stratum), 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

    05-2006

    End Date

    06-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    13.17 %

    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

    2006 Intermediate Quality Report HU,
    EU-SILC Data 2006

  • 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 10 036

    Available Data

    • Cross-sectional

    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

    Sampling Method

    The type of sampling design is a stratified three-stage sampling. In 2004, a sample of dwellings is drawn from the 1999 Master Sample updated for the "new" dwellings (i.e. the units that came out after the 1999 Census). The selection is done so as to make the sample self-weighted. At the first stage, selection by groups of municipalities proportional to size (stratified according geographical criteria as NUTS2 and degree of urbanisation). At the second stage, the systematic selection is of dwellings for the urban areas and adhoc groups of municipalities for the rural areas. The third stage only exists for the rural areas and the dwellings are selected by systematic sampling. All the households and the individuals living in the selected dwellings are interviewed.

    Panel Design

    Number Of Rotational Groups

    9

    Data Collection

    Start Date

    05-2006

    End Date

    08-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    26.8 %

    Weighting

    Notes

    -

    References

    2006 EU Comparative Intermediate FR,
    EU-SILC Data 2006

  • 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 5 860

    Available Data

    • Cross-sectional

    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

    08-2006

    End Date

    12-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    13.84 %

    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

    2006 Final Quality Report BE,
    2006 Intermediate Quality Report BE,
    2006 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2006

  • 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 13 799

    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

    04-2006

    End Date

    08-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Percentage Of Proxy Interviews

    16.9 %

    Weighting

    Notes

    No national quality report available.

    References

    2006 EU Comparative Quality Report.
    EU-SILC 2006 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 5 711

    Available Data

    • Cross-sectional

    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

    03-2006

    End Date

    08-2006

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 94.61 % CATI
    • 5.39 % Self-administered

    Percentage Of Proxy Interviews

    48.72 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The household design weights are initially corrected for non-response by multiplying the design weights by a certain factor.

    Coverage Adjustment Weight: Method

    Weights are calibrated such that certain known population totals from registers are reproduced.

    Notes

    -

    References

    2006 Final Quality Report DK,
    2006 Intermediate Quality Report DK,
    2006 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2006

  • FI - Finland

    National Reference

    Corresponding National Study

    -

    Producer

    Statistics Finland

    Universe

    Population residing in private households (non-institutionalised persons).

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 10 868

    Available Data

    • Cross-sectional

    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

    The Master Sample is stratified by using a socio-economic categorisation of the dwelling units.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2006

    End Date

    06-2006

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 2.99 % CAPI
    • 97.01 % CATI

    Percentage Of Proxy Interviews

    50.81 %

    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

    2006 Final Quality Report FI,
    2006 Intermediate Quality Report FI,
    2006 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2006

  • IE - Ireland

    National Reference

    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

    -

    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 4 584

    Available Data

    • Cross-sectional

    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

    Not applicable.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2006

    End Date

    09-2006

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 99.35 % CAPI
    • 0.65 % CATI

    Percentage Of Proxy Interviews

    19.64 %

    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 a reference data base the average of the four quarters of the microcensus 2006 was chosen. 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

    2006 Final Quality Report AT,
    2008 Final Quality Report AT,
    2006 Intermediate Quality Report AT,
    2008 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2006

  • 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 7 483

    Available Data

    • Cross-sectional

    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

    2

    Data Collection

    Start Date

    02-2006

    End Date

    04-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 99.46 % PAPI
    • 0.54 % Self-administered

    Percentage Of Proxy Interviews

    8.27 %

    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

    2006 Final Quality Report CZ,
    2006 Intermediate Quality Report CZ,
    2006 Intermediate Quality Report EU,
    EU-SILC Data 2006

  • 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 3 621

    Available Data

    • Cross-sectional

    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

    03-2006

    End Date

    07-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 99.97 % CAPI
    • 0.03 % PAPI

    Percentage Of Proxy Interviews

    12.66 %

    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

    2006 Final Quality Report CY,
    2006 Intermediate Quality Report CY,
    EU-SILC Data 2006

  • 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 6 803

    Available Data

    • Cross-sectional

    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

    Data Collection

    Start Date

    01-2006

    End Date

    12-2006

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 99.95 % CATI
    • 0.05 % PAPI

    Percentage Of Proxy Interviews

    3.74 %

    Weighting

    Design Weight: Target

    Person

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    Each panel is post-stratified with 16 strata (according to sex and 8 agegroups) and non-response adjusted weights are calculated.

    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

    2006 Final Quality Report SE,
    2006 Intermediate Quality Report SE,
    2006 EU Comparative Final QR,
    EU-SILC Data 2006

  • 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 9 478

    Available Data

    • Cross-sectional

    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

    02-2006

    End Date

    05-2006

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 47.40 % CAPI
    • 52.60 % CATI

    Percentage Of Proxy Interviews

    26.94 %

    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

    2006 Final Quality Report SI,
    2008 Final Quality Report SI,
    2006 Comparative EU Final Quality Report,
    2006 Intermediate Quality Report SI,
    EU-SILC Data 2006

  • 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 5 105

    Available Data

    • Cross-sectional

    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

    06-2006

    End Date

    06-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 99.46 % PAPI
    • 0.54 % Self-administered

    Percentage Of Proxy Interviews

    5.92 %

    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

    2006 Final Quality Report SK,
    2006 Intermediate Quality Report SK,
    2006 Comparative EU Final Quality Report,
    EU-SILC Data 2006

  • 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 2 845

    Available Data

    • Cross-sectional

    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

    01-2006

    End Date

    04-2006

    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

    2006 Final Quality Report IS,
    2006 Intermediate Quality Report IS,
    2006 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2006

  • UK - Great Britain

    National Reference

    Corresponding National Study

    • General Household Survey
    • Continuous Household 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 9 902

    Available Data

    • Cross-sectional

    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

    01-2006

    End Date

    04-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    10.01 %

    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. The Census is mandatory in the UK and so both responders and non-responders to the GHS can be matched to Census records.
    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

    2006 Final Quality Report UK,
    2006 Comparative Intermediate EU Quality Report,
    EU-SILC Data 2006

  • 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 21 499

    Available Data

    • Cross-sectional

    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

    10-2006

    End Date

    12-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    15.5 %

    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

    2006 Final Quality Report IT,
    2006 Intermediate Quality Report IT,
    2006 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2006

  • 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 4 367

    Available Data

    • Cross-sectional

    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

    05-2006

    End Date

    07-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 91.44 % CAPI
    • 8.56 % PAPI

    Percentage Of Proxy Interviews

    13.52 %

    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 2005. 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 31/12/2005.

    Notes

    -

    References

    2006 Intermediate Quality Report PT,
    EU-SILC Data 2006

  • 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 14 914

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    TERYT system, i.e. Domestic Territorial Division RegisterRegister.

    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

    05-2006

    End Date

    06-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    18.60 %

    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

    2006 Final Quality Report PL,
    2006 Intermediate Quality Report PL,
    2006 Comparative EU Final QR,
    EU-SILC Data 2006

  • 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 5 700

    Available Data

    • Cross-sectional

    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

    04-2006

    End Date

    06-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 25.43 % CAPI
    • 2.57 % CATI
    • 72.00 % PAPI

    Percentage Of Proxy Interviews

    3.97 %

    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

    2006 Final Quality Report EL,
    2006 Intermediate Quality Report EL,
    2006 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2006

  • 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 12 205

    Available Data

    • Cross-sectional

    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

    04-2006

    End Date

    07-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 93.25 % CAPI
    • 6.75 % CATI

    Percentage Of Proxy Interviews

    41.24 %

    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

    2006 Final Quality Report ES,
    2006 Intermediate Quality Report ES,
    2006 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2006

  • 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 8 936

    Available Data

    • Cross-sectional

    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

    06-2006

    End Date

    10-2006

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    43.36 %

    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

    2006 Final Quality Report NL,
    2006 Intermediate Quality Report NL,
    2006 Comparative EU Final Quality Report,
    EU-SILC Data 2006

  • 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 5 631

    Available Data

    • Cross-sectional

    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

    6

    Data Collection

    Start Date

    03-2006

    End Date

    07-2006

    Type Of Data Source

    Survey

    Interview Mode

    • 98.08 % CAPI
    • 0.17 % CATI
    • 1.71 % PAPI
    • 0.04 % Self-administered

    Percentage Of Proxy Interviews

    5.78 %

    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

    2006 Final Quality Report EE,
    2006 Intermediate Quality Report EE,
    2006 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2006