indata_3Qs ( Person-level file - Palestine, first three quarters 2023 )
indata_3Qs holds a line-for-line roster of every individual who lived in the sample households during Q1-Q3 2023. For each person it records:
Core identifiers (ID00, ID01, region, D1, ind_ID) and relationship to head, sex, date of birth, age and refugee status;
Health coverage & status (five insurance sources, chronic-illness treatment, Washington-Group functional-difficulty matrix, six-month health-service use, provider, maternal care, child immunizations, basic diet indicators);
Fertility (prenatal care, births, infant deaths) for women 15-49;
Education (attendance history, highest grade, school type, failures, class size, literacy);
Labour-force details (current activity status, usual hours, job-search behaviour, unemployment duration, status in employment, workplace location, contract type, schedule, sector, months worked, occupational & industrial codes, injuries, employer benefits);
Final person weight (FWP) and locality type.
West Bank + Gaza (First Three Quarters 2023 microdata)
Weight variables: weight3q_trim (final calibrated & trimmed probability weight for the pooled Q1-Q3 sample) and its mean-one counterpart rw. Because Q4 fieldwork in Gaza was cancelled due to the ongoing Israeli aggression, seasonality could not be modelled for Gaza; therefore, key expenditure- and consumption-based indicators were released only for the West Bank, not for Gaza or the national level.
Cases: | 18169 |
Variables: | 80 |