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Study: EU-SILC 2009

Titles

Title European Union Statistics on Income and Living Conditions 2009

Abstract

EU-SILC 2009 contains the 2009 Module on material deprivation. The 2009 Module consists on thirty variables to be asked at household level (six of them optional) and seven variables to be asked at personal level.

The 2009 module variables relate to three different types of units:
1. Household: The variables relating to housing, the environment, financial stress and durables (except possession of mobile phones) are asked at household level and refer to the household as a whole.
2. Individual: Information on the possession of a mobile phone, basic needs, unmet needs as well as leisure and social activities in the category "adult items" must be provided for each current household member, or, if applicable, for all selected respondents, aged 16 and over.
3. Child: Children's items relate to all household members aged under 16 to be compatible with the data collection defined in the EU-SILC Framework Regulation. The questions must be answered by the household respondent for the whole group of children aged under 16. If at least one child does not have the item in question, the whole group of children in the household is assumed not to have the item.

Coverage

Geographical Coverage

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

Time Period Covered

Reference period for core variables: constant, at selection, income reference period, usual week, last 4 weeks, last 12 months, since last year, working life, childcare reference period (Eurostat (2009): DESCRIPTION OF TARGET VARIABLES:Cross-sectional and Longitudinal 2009 operation, p. 76).
All 2009 module variables relate to the current situation as the reference period, except for: the two variables on the expectation of the household to change dwelling, which refers to the next six month and the variables on unmet needs and on the visits to general practitioners (GP's) and specialists, which refer to the past twelve months. (Eurostat (2011): 2009 EU-SILC MODULE ON MATERIAL DEPRIVATION. Assessment of the implementation, p. 4.)

 

Notes

-

References

Country Specific Information: EU-SILC 2009

  • 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 5 797

    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

    03-2009

    End Date

    07-2009

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 57.08 % CAPI
    • 36.16 % CATI
    • 6.67 % PAPI
    • 0.09 % Self-administered

    Percentage Of Proxy Interviews

    21.49 %

    Weighting

    Design Weight: Target

    Dwelling

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The design weights adjusted for outliers for non-response (in the
    household level) in each primary non-response group 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

    2009 Final Quality Report LV,
    2009 Intermediate Quality Report LV,
    2009 Intermediate Quality Report EU,
    EU-SILC Data 2009

  • 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 4 249

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Luxembourg Social Security database (IGSS) and 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.

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

    Panel Design

    Data Collection

    Start Date

    01-2010

    End Date

    10-2010

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    23.00 %

    Weighting

    Notes

    -

    References

    2009 Comparative EU Intermediate Quality Report,
    EU-SILC Data 2009

  • 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 5 314

    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

    02-2010

    End Date

    07-2010

    Type Of Data Source

    Survey

    Interview Mode

    • 30.83 % CATI
    • 68.82 % PAPI
    • 0.35 % Self-administered

    Percentage Of Proxy Interviews

    14.14 %

    Weighting

    Design Weight: Target

    Household

    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

    2009 Final Quality Report LT,
    2009 Intermediate Quality Report LT,
    2009 Intermediate Quality Report EU,
    EU-SILC Data 2009

  • 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 private households and their current members residing in the territory of Romania at the time of the data collection.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 7 745

    Available Data

    • Cross-sectional
    • Longitudinal

    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

    07-2009

    End Date

    07-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    13.62 %

    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

    2009 Final Quality Report RO,
    2009 Intermediate Quality Report RO,
    2009 Intermediate EU Quality Report,
    2009 EU Comparative Final Quality Report,
    EU-SILC Data 2009

  • 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 5 430

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Central population register (BEBAS)

    Sampling Design

    • Probability
    • systematic
    • stratified
    • one stage

    Primary Sampling Units

    Individuals

    Secondary Sampling Units

    Households

    Stratification Criteria

    Rotational groups are drawn as the proportion p of the population 16+. Each existing rotational group is then supplemented with new 16 year olds and new immigrants to ensure
    representativity.

    Panel Design

    Number Of Rotational Groups

    8

    Data Collection

    Start Date

    02-2009

    End Date

    08-2009

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 1.44 % CAPI
    • 98.56 % CATI

    Percentage Of Proxy Interviews

    25.06 %

    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

    2009 Final Quality Report NO,
    2009 Intermediate Quality Report NO,
    2009 EU Intermediate Quality Report,
    2009 EU Comparative Quality Report,
    EU-SILC Data 2009

  • 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 9 912

    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 were stratified by size (number of dwellings) in the rotation group 5 and 7 and by county and category of size for the rotation group 6 and 8. Within selected localities the
    household were stratified by the characteristics of the head of household. Strata with one locality constitute the part of the population where we have one stage sample design (type II and strata with more than one locality constitute the other part (type I, type III and type IV).

    Sampling Method

    The EU-SILC HU 2009 survey is based on different stratified sampling designs: the rotation groups 5 and 7 have a stratified two-stage sample design in a part of the population (Part I, Type I) and a stratified one-stage sample design on the other part of the population (Part II, Type II). Groups 6 and 8 have a stratified three-stage sample design in a part of the population (Part III, Type III) and a stratified two-stage sample design in the other part of the population
    (Part IV, Type IV). Part II / Part IV consist of mostly the biggest localities and Part I/Part III consists of the rest.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    03-2009

    End Date

    05-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    11.12 %

    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

    2009 Intermediate Quality Report HU,
    2009 Intermediate EU Quality Report,
    EU-SILC Data 2009

  • 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 5 608

    Available Data

    • Cross-sectional
    • Longitudinal

    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 stratification is done by administrative-territorial districts in the country (NUTS3) and the household's location into 56 strata (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

    04-2009

    End Date

    07-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    19.46 %

    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

    Combining the four independent subsamples, calibration is done on individual-level data, imposing equality of g-weights for individuals in the same household. Truncated linear function in order to limit g-weights close enough to 1 is used.

    Notes

    -

    References

    2009 Final Quality Report BG,
    2009 Intermediate Quality Report EU,
    EU-SILC Data 2009

  • 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 10 603

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Population Census and Survey of new dwellings (Base de sondage de logements neufs - BSLN)

    Sampling Design

    • Probability
    • systematic
    • stratified
    • multi-stage

    Primary Sampling Units

    Municipality

    Secondary Sampling Units

    Dwellings

    Stratification Criteria

    The stratification is done by the type of area (urban, rural) and size of the municipality into 5 strata (rural area; municipality with less than 20 000 habitants; municipality with a number of habitants between 20 000 and 100 000; municipality with more than 100 000 habitants and Paris). A sub-stratification is done in the first three strata by NUT2. At second stage, another sub-stratification is done in the last three strata by group f municipalities in order to have certain size in each sub-stratum. Finally, the last stratification is done by type of dwelling (main residence, secondary residence, holiday house, new dwelling) at the third stage only in rural areas.

    Panel Design

    Number Of Rotational Groups

    9

    Data Collection

    Start Date

    05-2009

    End Date

    08-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    27.50 %

    Weighting

    Notes

    References

    Eurostat (2011): DESCRIPTION OF TARGET VARIABLES: Cross-sectional and Longitudinal 2011 operation (Version May 2011).

    Eurostat (2007): Comparative EU statistics on Income and Living Conditions: Issues and Challenges. Proceedings of the EU-SILC conference (Helsinki, 6-8 November 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 6 132

    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

    04-2009

    End Date

    11-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    12.88 %

    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

    2009 Final Quality Report BE,
    2009 Intermediate Quality Report BE,
    2009 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2009

  • 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 13 087

    Available Data

    • Cross-sectional

    Sampling Procedure

    Source Of Sampling Frame

    Subsample of the German micro census (DSP)

    Sampling Design

    • Probability
    • random
    • stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Stratification is done by geographical criteria (federal state), household type, social status of the main income earner, household net income and farm household (separate stratum for each federal state).

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2009

    End Date

    08-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % Self-administered

    Percentage Of Proxy Interviews

    19.77 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    The basis for the sampling of the random sub samples is the access panel DSP. The structure of DSP was considered in the weighting procedure.

    Coverage Adjustment Weight: Method

    The marginal distribution of the micro census was used for the adaption process. For the household weight we used the marginal distribution of the characteristics montly household net income, household type, household size, age and sex. For the personal weight we used the marginal distribution of the characteristics family status, age, social status, education level and household type.

    Notes

    -

    References

    2009 Intermediate Quality Report DE.
    2009 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2009

  • 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 5 866

    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

    03-2009

    End Date

    05-2009

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 93.01 % CATI
    • 6.99 % Self-administered

    Percentage Of Proxy Interviews

    49.01 %

    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

    2009 Final Quality Report DK,
    2009 Intermediate Quality Report DK,
    2009 Intermediate Quality Report EU,
    EU-SILC Data 2009

  • FI - Finland

    National Reference

    Corresponding National Study

    -

    Producer

    Statistics Finland

    Universe

    The population register data included 4,293,272 non-institutional persons aged 16+.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 10 137

    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

    01-2009

    End Date

    05-2009

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 3.50 % CAPI
    • 96.50 % CATI

    Percentage Of Proxy Interviews

    42.66 %

    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

    2009 Final Quality Report FI,
    2009 Intermediate Quality Report FI,
    2009 Intermediate Quality Report EU
    2009 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2009

  • 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 5 878

    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

    Households

    Stratification Criteria

    The stratification is done by the geographical criteria into 3 main strata:

    • Main-stratum 1: addresses in interviewer units (Sprengel) with a populated area of less than 50 km².
    • Main-stratum 2: addresses in interviewer units (Sprengel) with a populated area of at least 50 km² and high population density.
    • Main-stratum 3: addresses in interviewer units (Sprengel) with a populated area of at least 50 km² and low population density.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2009

    End Date

    10-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 57.96 % CAPI
    • 42.04 % CATI

    Percentage Of Proxy Interviews

    22.60 %

    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 estimate the response probabilites of each household with explanatory variables known prior to the questionnaire.

    Coverage Adjustment Weight: Method

    As reference data base the average of the four quarters of the Microcensus 2009 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

    2009 Final Quality Report AT,
    2009 Intermediate Quality Report AT,
    2009 Intermediate EU Quality Report,
    2009 EU Comparative Final Quality Report,
    EU-SILC Data 2009

  • 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 9 911

    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

    4

    Data Collection

    Start Date

    02-2009

    End Date

    03-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 20.86 % CAPI
    • 79.09 % PAPI
    • 0.05 % Self-administered

    Percentage Of Proxy Interviews

    14.85 %

    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

    2009 Final Quality Report CZ,
    2009 Intermediate Quality Report CZ,
    2009 Intermediate Quality Report EU,
    EU-SILC Data 2009

  • 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 3 145

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    2001 Census of Population with a supplementary list of newly constructed houses

    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

    03-2009

    End Date

    07-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 99.88 % CAPI
    • 0.12 % PAPI

    Percentage Of Proxy Interviews

    21.01 %

    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

    2009 Intermediate Quality Report CY,
    2009 Intermediate Quality Report EU,
    EU-SILC Data 2009

  • 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 7 452

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Total Population Register of Sweden

    Sampling Design

    • Probability
    • systematic
    • 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

    04-2008

    End Date

    12-2008

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 99.86 % CATI
    • 0.14 % PAPI

    Percentage Of Proxy Interviews

    2.74 %

    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

    2009 Final Quality Report SE,
    2009 Intermediate Quality Report SE,
    2009 Comparative EU Intermediate Quality Report,
    2008 Comparative EU Intermediate Quality Report,
    2009 Intermediate Quality Report SE,
    2009 Final Quality Report SE,
    EU-SILC Data 2009

  • 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 9 282

    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

    Stratification is done by size of the settlement and the proportion of agricultural households in the
    settlement into 6 strata. Each stratum was sorted by NUTS3.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2009

    End Date

    06-2009

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 47.23 % CAPI
    • 52.77 % CATI

    Percentage Of Proxy Interviews

    24.22 %

    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

    2009 Final Quality Report SI,
    2010 Final Quality Report SI,
    2009 Comparative EU Final Quality Report,
    2009 Intermediate Quality Report SI,
    2009 Intermediate EU Quality Report,
    EU-SILC Data 2009

  • 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 5 264

    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

    04-2009

    End Date

    04-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 99.67 % PAPI
    • 0.33 % Self-administered

    Percentage Of Proxy Interviews

    4.65 %

    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

    Eurostat (2011): DESCRIPTION OF TARGET VARIABLES: Cross-sectional and Longitudinal 2011 operation (Version May 2011).

    Eurostat (2007): Comparative EU statistics on Income and Living Conditions: Issues and Challenges. Proceedings of the EU-SILC conference (Helsinki, 6-8 November 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 2 903

    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

    02-2009

    End Date

    05-2009

    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

    2009 Final Quality Report IS,
    2009 Intermediate Quality Report IS,
    2010 Intermediate Quality Report IS,
    2009 Intermediate Quality Report EU,
    EU-SILC Data 2009

  • UK - Great Britain

    National Reference

    Corresponding National Study

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

    Producer

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

    Universe

    Adults aged 16+.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 8 365

    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).

    Sampling Method

    The sample design in Northern Ireland (approx. 300 households) is a simple random sample.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    01-2009

    End Date

    02-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    10.32 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

    A non-response model exists for the GLF which comprises a number of adjustment classes. These classes were constructed by linking household selected for the 2001 GHS (the earlier version of the GLF) to the 2001 Census.

    Coverage Adjustment Weight: Method

    The population information and EU-SILC UK data were grouped into twelve age by sex categories and into six regional categories to form weighting classes. The initial nonresponse adjusted HT weight is adjusted, using Stats Canada’s Generalized Estimation System (GES), so that the final weights ensure that the weighted totals for the above
    demographic categories match the population totals.

    Notes

    -

    References

    2009 Final Quality Report UK ,
    2009 Comparative Intermediate EU Quality Report,
    EU-SILC Data 2009

  • 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 20 928

    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

    18.89 %

    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

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

  • MT - Malta

    National Reference

    Corresponding National Study

    -

    Producer

    National Statistics Office Malta

    Universe

    All people and households living in Malta and Gozo.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 3 646

    Available Data

    • Cross-sectional
    • Longitudinal

    Sampling Procedure

    Source Of Sampling Frame

    Census of Population and Housing 2005

    Sampling Design

    • Probability
    • random
    • not stratified
    • one stage

    Primary Sampling Units

    Households

    Secondary Sampling Units

    Not used

    Stratification Criteria

    Not applicable.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    07-2009

    End Date

    10-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % CAPI

    Percentage Of Proxy Interviews

    31.20 %

    Weighting

    Design Weight: Target

    Household

    Design Weight: Method

    Inverse of selection probability

    Non-response Weight: Method

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

    Coverage Adjustment Weight: Method

    A temporary cross-sectional weight was created as the product of the design weight and non-response adjustment. This temporary weight was normalised and trimmed so as to lie within the 1st and 9th deciles, thus reducing the range of the weights. The resulting weight was used as the initial weight for calibration.

    Notes

    -

    References

    2009 Final Quality Report MT,
    2009 Intermediate Quality Report MT,
    2009 Intermediate Quality Report EU,
    2009 EU Comparative Final Quality Report,
    EU-SILC Data 2009

  • 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 2008.

    Target Sample Size

    Cross-sectional Data
    Achieved Sample Size 4 961

    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

    05-2009

    End Date

    07-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 96.11 % CAPI
    • 3.89 % PAPI

    Percentage Of Proxy Interviews

    18.41 %

    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 2008. 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 31/12/2008.

    Notes

    -

    References

    2009 Intermediate Quality Report PT,
    EU-SILC Data 2009

  • 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 13 224

    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

    05-2009

    End Date

    06-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 100 % PAPI

    Percentage Of Proxy Interviews

    18.45 %

    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

    2009 Final Quality Report PL,
    2009 Intermediate Quality Report PL,
    2009 Intermediate EU Quality Report,
    2009 EU Comparative Final Quality Report,
    EU-SILC Data 2009

  • 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 13 360

    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.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    02-2009

    End Date

    06-2009

    Interview Mode

    • 92.57 % CAPI
    • 7.43 % CATI

    Percentage Of Proxy Interviews

    39.89 %

    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

    2009 Final Quality Report ES,
    2009 Intermediate Quality Report ES,
    2009 Intermediate Quality Report EU,
    2009 EU Comparative Intermediate Quality Report,
    EU-SILC Data 2009

  • 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 9 728

    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

    06-2009

    End Date

    09-2009

    Type Of Data Source

    Register,Survey

    Interview Mode

    • 100 % CATI

    Percentage Of Proxy Interviews

    1.52 %

    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

    2009 Final Quality Report NL,
    2009 Intermediate EU Quality Report,
    2009 Comparative EU Final Quality Report,
    EU-SILC Data 2009

  • 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 4 965

    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

    4

    Data Collection

    Start Date

    02-2009

    End Date

    06-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 97.80 % CAPI
    • 0.21 % CATI
    • 1.96 % PAPI
    • 0.03 % Self-administered

    Percentage Of Proxy Interviews

    22.25 %

    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

    Non-response corrected weights were calibrated to reproduce known population totals. Calibration totals originated from demographic statistics published by Statistics Estonia with institutionalized persons deducted. Calibration was made on the auxiliaries country, sex and urbanization status

    Notes

    -

    References

    2009 Final Quality Report EE,
    2009 Intermediate Quality Report EE,
    2009 Intermediate Quality Report EU,
    EU-SILC Data 2009

  • EL - 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 7 036

    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 is 90.

    Panel Design

    Number Of Rotational Groups

    4

    Data Collection

    Start Date

    04-2009

    End Date

    06-2009

    Type Of Data Source

    Survey

    Interview Mode

    • 9.91 % CAPI
    • 3.57 % CATI
    • 86.45 % PAPI
    • 0.07 % Self-administered

    Percentage Of Proxy Interviews

    7.62 %

    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. Target variable DB080 was adjusted for non-response for the variables 'record of contact at address' and 'household questionnaire result'. The corrections were conducted at subsequent steps. The multiplication of DB080 with each one of the two corrections, results in a corrected DB080 weight that is used as initial weight in the calibration procedure.

    Coverage Adjustment Weight: Method

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

    Notes

    -

    References

    2009 Final Quality Report EL,
    2009 Intermediate Quality Report EL,
    2009 Intermediate Quality Report EU,
    EU-SILC Data 2009