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Weighting factor
No total weight usable for international comparison.
The NATIONAL weight variable serves to compensate for unequal selection probabilities introduced by sampling design or non-response and can have design and/ or post-stratification and/ or non-response components.
NATIONAL weighting procedures/ variables used for calculation of NATIONAL weights:
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AT: Combined weights used: Design weight (to account for different selection probability due to different household sizes) and post-stratification weight (based on gender, age, and education).
AU: Combined, summary weights used: Post-stratification (based on age, sex, and education) and non-response.
CH: Design weight used with all respondents having the same probability of inclusion since the sample frame is individual based and the sampling is pure random, so that every resident in Switzerland has equal chance to participate.
CN: Combined, summary weights are used including the following three types: design weight, post-stratification weight (based on gender, age group, education, and urganization) and non-response weight.
DE: There are two separate German samples (see variable c_sample). The sample for eastern Germany deliberately over-samples the five eastern federal states. If all of Germany is taken as the unit of analysis (rather than the eastern and western states), please use design weight. The two weighting factors are stored in the variable WEIGHT (the weighting factor for Western Germany is: 1.2265404; the weighting factor for Eastern Germany is: 0.5242239).
DK: Post-stratification weight was used based on GENDER (male/ female), AGE (four age groups: 18-34, 35-49, 50-64 & 65-79), ETHNIC ORIGIN (two groups: Danish origin and descendants), FAMILY TYPE (four groups: singles without children, single parents, couples without children, and couples with children), HIGHEST FULFILLED EDUCATION (three groups: primary school, highschool/ EUD/ short-cycle higher education, and long-cycle higher education and PhD) and SOCIOECONOMIC STATUS (three groups: employed, pensioners and early retirement recipients, and others outside the labour force).
ES: Design weight used to adjust for unequal selection probabilities.
FI: Post-stratification weights were used based on the following variables: 1) gender, 2) six age classes, 3) modified NUTS3 regions (the Greater Helsinki Area was dealt as a separate region), 4) type of community (urban – semiurban - rural).
FR: Post stratification weighting computed on sex, age (4 groups: 18 to 29 years old, 30 to 39 years old, 40 to 54 years old, 55 years old or more) and occupation (6 groups: Farmers; Tradesmen, Shopkeepers and Business Owners; Managers and Secondary/ University Teachers; Intermediate Professions, White Collar Workers; Blue Collar Workers; Unemployed)
HR: No weighting.
HU: Post-stratification weights used based on sex, age, education and type of settlement.
IN: Post-stratification weights used (multiple weighting done on the following variables: Age, Gender, Social status, Income, Education).
IS: No weighting factor, not needed according to the design.
IT: No weighting.
JP: No weighting (not needed according to the sampling design).
KR: Design weight used and post-stratification weight adjusting for gender (male, female), age (18-29, 30-39, 40-49, 50-59 and over), region (Seoul, Kyunggi, Kangwon/ Jeju, Chungcheng, Kyungsnag, Cholla) and urbanicity (urban/ rural).
LT: No weighting.
NO: No weighting factors provided (weighting not needed according to the sample design).
NZ: Post-stratification weights were based on logistic regression models of Responded (yes/no) by age group, Maori descent, occupation, region, deprivation quintile, and urbanicity.
PH: A post-stratification weight was used. Weighting variable is based on people aged 18+ (voting age) and area (NCR, Balance Luzon: North/Central and South Luzon, Visayas, Mindanao).
RU: Post-stratification weights were used based on sex, age and education.
SE: No weighting.
SI: Post-stratification weights used based on Gender x Age (2x4) and Statistic. Region x Type of Settlement (12x6).
SK: Design and post-stratification weights used based on the variables/ informaiton on gender, age, education, region and size of municipality.
TH: No weighting.
TW: Design and post-stratification weights used; post-stratification weights were based on sex, age, urbanization and education-degree groups.
US: Combined, summary weights were applied - comprising a design weight, a post-stratification weight (based on the variables on region, marital status, hispanic ethnicity, education, US born, gender, race, age) + a non-response weight.
ZA: Design weight (explicit stratification variables: province, population group and geography type (viz. urban formal, urban informal, tribal and rural formal, including commercial farms)) + post-stratification weight (based on population group, gender, age) + non-response weight (non-response adjustment = number of drawn HHs per EA (census enumerator area)/ number of responding HHs (i.e. where a person 16+ is successfully interviewed) provided that at least 50% of households responded. Otherwise two similar (i.e. in the same explicit stratum) and neighbouring EAs are combined and a combined adjustment factor calculated. Person and household weights are benchmarked, for persons using province, population group, gender and different age groups (i.e. 16-19, 20-24, 25-34, 35-44, 45-54, 55-64 and 65 and older) as benchmark variables and for households using province and population group of the respondent in the household. The marginal totals for the benchmark variables are obtained from the applicable midyear estimates as published by Statistics South Africa).
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