Household Expenditure and Consumption Survey, 2023, Main Findings of Living Standards in the West Bank (Expenditure, Consumption and Poverty), 2023

West Bank and Gaza, 2023 - 2024

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Reference ID

PSE-PCBS-PECS-2023-V1.0

Producer(s)

Palestinian Central Bureau of Statistics

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Household Expenditure and Consumption

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DDI/XML JSON

Created on

Aug 11, 2025

Last modified

Aug 11, 2025

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2035

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Data file: Household Dataset for the West Bank, 2023

The hhdata_wb file (West Bank, full year 2023) provides a comprehensive snapshot of each sampled household's social, economic and living‐condition profile. It covers all 4,992 households selected via a two‐stage stratified cluster sample across the 11 West Bank governorates, with data collection spanning January 2 through December 10, 2023. Each record-identified by ID00-captures not only basic demographics but also detailed information on housing quality, utility access, asset ownership, social assistance receipt and exposure to shocks. Together, these data form the household‐level backbone for linking to item‐level expenditure records and individual‐level demographic and income datasets.
Sampling and weighting procedures in hhdata_wb ensure that findings are representative of the entire West Bank population. Enumeration areas (primary sampling units) were selected with probability proportional to size, then 12 households per area were systematically chosen. Household weights adjust for both stages of selection, non‐response and post‐stratification to mid‐2023 population estimates by governorate and locality type (urban, rural, camp). This means any aggregate or disaggregated estimate-whether average food expenditure or the proportion of households without continuous water-can be reliably projected to the regional or governorate level.
At the core of the file are identification and composition variables
ID00 links to item‐level expenditure files;
ID01, region and loc_type pinpoint governorate (e.g. 15 = Nablus), West Bank vs. Jerusalem J1, and urban/rural/camp status;
QC3-QC5 record total, male and female household counts;
D0 indicates which household member (line number) provided the housing data.
These fields let you immediately filter or weight analyses by geography, settlement type, or household size.
The file's housing and infrastructure section (variables H1-H35) runs from dwelling type (villa vs. tent vs. caravan) and occupancy status, through detailed tenure categories (owned, rented, free of charge, in exchange for work), to how ownership was acquired and financed (inheritance, purchase, loan source, monthly installments, completed payments). It then documents structural features-age of building, wall/roof/floor materials, floor and land areas and counts of rooms, bathrooms, kitchens and garages-and utility connections: whether water and electricity reach kitchens, bathrooms or toilets; main sources of water (public network, Mekorot, well, tanker, bottled), interruptions and hours of availability; electricity sources (public grid, generator, solar) and outages; sewage disposal type; solid waste methods; and even whether soap and water are available for handwashing.
Beyond the physical home, hhdata_wb traces households' broader resilience and vulnerability. Variables A01-A03 capture receipt of social assistance (food, cash, medical aid, housing support, orphan sponsorship, etc.), its perceived importance, value, source and recurrence pattern. C-series questions record remittance receipts and uses, loans taken in the past decade, their purposes and repayment status, plus shocks such as property loss, theft, political arrests or movement restrictions. This rich information allows analysis of how households cope with income shortfalls, how social protection programs reach different population groups, and the interplay between assistance, debt and living standards.

West Bank (Full Year 2023 micro-data)
Weight variables: weight_wby_trim (final calibrated & trimmed probability weight for Q1-Q4) and its mean-one counterpart rw_wb. Use either for every 2023 West-Bank-only estimate.