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    Home / Central Data Catalog / PAL_LFS_2012_HD_V1 / variable [F30]
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Labor Force Survey, LFS 2012

Palestine, 2012
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Reference ID
PAL_LFS_2012_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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  • Palestine12-LFS
    HH-V1
  • Palestine12-LFS
    IND-V1

Area (AREA)

Data file: Palestine12-LFS HH-V1

Overview

Valid: 26898
Valid (weighted): 735932.445
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Decimal: 0
Start: 37
End: 42
Width: 6
Range: 275001 - 275075
Format: Numeric
Weighted variable: V2734

Questions and instructions

Categories
Value Category Cases Weighted
275001 Jenin 1812 53195
7.2%
275005 Tubas 1119 10443
1.4%
275010 Tulkarm 1311 32850
4.5%
275015 Nablus 2113 66013
9%
275020 Qalqilia 1112 18618
2.5%
275025 Salfit 1083 12364
1.7%
275030 Ramallah 1550 60590
8.2%
275035 Jericho 785 8599
1.2%
275040 Jerusalem 2211 77874
10.6%
275045 Bethlehem 1499 37093
5%
275050 Hebron 2999 104151
14.2%
275055 North Gaza 1817 47969
6.5%
275060 Gaza city 2289 87536
11.9%
275065 Deir Al-Balah 1651 37325
5.1%
275070 Khan Yunis 1947 49733
6.8%
275075 Rafah 1600 31581
4.3%
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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