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    Home / Central Data Catalog / PAL_LFS_2010_HD_V1 / variable [V2378]
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Labor Force Survey, LFS 2010

Palestine, 2010
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Reference ID
PAL_LFS_2010_HD_V1
Producer(s)
Economic Research Forum, Palestinian Central Bureau of Statistics
Collections
Labor Force Surveys ERF Harmonized Datasets
Metadata
DDI/XML JSON
Created on
Jan 23, 2017
Last modified
Jan 23, 2017
Page views
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  • Palestine10-LFS
    HH-V1
  • Palestine10-LFS
    IND-V1

Area (AREA)

Data file: Palestine10-LFS HH-V1

Overview

Valid: 27510
Valid (weighted): 694523.599
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Decimal: 0
Start: 37
End: 42
Width: 6
Range: 275001 - 275075
Format: Numeric
Weighted variable: V2376

Questions and instructions

Categories
Value Category Cases Weighted
275001 Jenin 1879 50520
7.3%
275005 Tubas 1153 9762
1.4%
275010 Tulkarm 1121 31623
4.6%
275015 Nablus 1995 63045
9.1%
275020 Qalqilia 1124 17675
2.5%
275025 Salfit 1179 11808
1.7%
275030 Ramallah 2003 57152
8.2%
275035 Jericho 939 8124
1.2%
275040 Jerusalem 2552 74980
10.8%
275045 Bethlehem 1615 35018
5%
275050 Hebron 3244 97522
14%
275055 North Gaza 1564 44152
6.4%
275060 Gaza city 1978 82250
11.8%
275065 Deir Al-Balah 1488 34833
5%
275070 Khan Yunis 2054 46700
6.7%
275075 Rafah 1622 29360
4.2%
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.

Description

Definition
Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village.
Universe
All households
Source of information
Data Dictionary & Questionnaire/Codebook

Imputation and derivation

Coder instructions
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)

Others

Notes
GENERAL NOTES
----------------------
To generate the Region and Area of residence, the original variables will be recoded to include the country UN standardized 3 digits code (already used in COUNTRY) in addition to the REG or AREA code, standardized on 3 digits as well.
This is to avoid possible mismatches between these two variables' codes across different countries when the datasets are merged.


COUNTRY SPECIFIC NOTES
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