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    Home / Central Data Catalog / HOUSEHOLD-EXPENDITURE-CONSUMPTION / PSE-PCBS-PECS-2023-V1.0 / variable [F3]
Household-Expenditure-Consumption

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
Collections
Household Expenditure and Consumption
Metadata
DDI/XML JSON
Created on
Aug 11, 2025
Last modified
Aug 11, 2025
Page views
1387
Downloads
2
  • Study Description
  • Data Description
  • Downloads
  • Data files
  • Household
    Dataset for the
    West Bank, 2023
  • Individuals
    Dataset for the
    West Bank, 2023
  • Items Dataset
    for the West
    Bank, 2023
  • Main Dataset
    for the West
    Bank, 2023
  • Monthly Income
    Dataset for the
    West Bank, 2023
  • Yearly Income
    Dataset for the
    West Bank, 2023
  • Household
    Dataset for the
    West Bank &
    Gaza Strip for
    Q1 - Q3, 2023
  • Individuals
    Dataset for the
    West Bank &
    Gaza Strip for
    Q1 - Q3, 2023
  • Items Dataset
    for the West
    Bank & Gaza
    Strip for Q1 -
    Q3, 2023
  • Main Dataset
    for the West
    Bank & Gaza
    Strip for Q1 -
    Q3, 2023
  • Monthy Income
    Dataset for the
    West Bank &
    Gaza Strip for
    Q1 - Q3, 2023
  • Yearly Income
    Dataset for the
    West Bank &
    Gaza Strip for
    Q1 - Q3, 202

the value of household consumption expenditure in the second week (week_2)

Data file: Items Dataset for the West Bank, 2023

Overview

Valid: 219286
Invalid: 40692
Minimum: 0
Maximum: 20000
Mean: 12.945
Standard deviation: 71.172
Type: Continuous
Decimal: 2
Width: 8
Range: 0 - 20000
Format: Numeric

Questions and instructions

Literal question
the value of household consumption expenditure in the second week

Imputation and derivation

Derivation
Construction rule: for "daily-food" items all consumption recorded in the household diary book were summed by calendar day, binned into four 7-day bands (1-7, 8-14, 15-21, 22-end) and aggregated to produce week_1 .. week_4; their sum is total_all_weeks. For items originally reported on longer recall periods the raw payment was converted to a monthly equivalent: monthly items >> amount x 1; yearly items >> amount / 12; personal-transport (3-year) >> amount / 36. The column total_price is a convenience copy of total_all_weeks retained for compatibility with earlier PECS code. The total price is the actual total value according to its actual reference period.
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