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    Home / Central Data Catalog / HOUSEHOLD-EXPENDITURE-CONSUMPTION / PSE-PCBS-PECS-2023-V1.0 / variable [F7]
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
1718
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

During the past month, how many hours per day was water available (for houses connected to public networks)? (H19_1)

Data file: Household Dataset for the West Bank & Gaza Strip for Q1 - Q3, 2023

Overview

Valid: 3447
Invalid: 160
Type: Discrete
Decimal: 2
Width: 4
Range: 1 - 9
Format: Numeric

Questions and instructions

Literal question
During the past month, how many hours per day was water available (for houses connected to public networks)?
Categories
Value Category Cases
1 Less than 1 hour/day 55
1.5%
2 1 hour/day 26
0.7%
3 2-4 hours/day 446
12.4%
4 5-9 hours/day 561
15.6%
5 10-23 hours/day 398
11%
6 Full day 1872
51.9%
7 Don't know 86
2.4%
9 Not applicable 3
0.1%
Sysmiss 160
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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