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    Home / Central Data Catalog / HOUSEHOLD-EXPENDITURE-CONSUMPTION / PSE-PCBS-PECS-2023-V1.0 / variable [F4]
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
1641
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

Number of children (num_children)

Data file: Main Dataset for the West Bank, 2023

Overview

Valid: 3220
Invalid: 0
Minimum: 0
Maximum: 10
Mean: 1.93
Standard deviation: 1.821
Type: Continuous
Decimal: 2
Width: 5
Range: 0 - 10
Format: Numeric

Questions and instructions

Literal question
Number of children

Imputation and derivation

Derivation
num_children is derived directly from the individual-level file indata_wb_Eng. By grouping all records by ID00 (household serial number), we count every person whose age (D6) is less than 18. In R, this was implemented as:
indata_wb_Eng %>%
group_by(ID00) %>%
summarise(num_children = sum(D6 < 18))
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