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    Home / Central Data Catalog / PAL_LFS_2013_HD_V1 / variable [F32]
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Labor Force Survey, LFS 2013

Palestine, 2013
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Reference ID
PAL_LFS_2013_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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  • Palestine13-LFS
    HH-V1
  • Palestine13-LFS
    IND-V1

Area (AREA)

Data file: Palestine13-LFS HH-V1

Overview

Valid: 26419
Valid (weighted): 757317.872
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Decimal: 0
Start: 38
End: 43
Width: 6
Range: 275001 - 275075
Format: Numeric
Weighted variable: V2913

Questions and instructions

Categories
Value Category Cases Weighted
275001 Jenin 1867 54573
7.2%
275005 Tubas 1055 10799
1.4%
275010 Tulkarm 1438 33474
4.4%
275015 Nablus 2133 67534
8.9%
275020 Qalqilia 1088 19104
2.5%
275025 Salfit 921 12648
1.7%
275030 Ramallah 1450 62371
8.2%
275035 Jericho 704 8840
1.2%
275040 Jerusalem 2201 79337
10.5%
275045 Bethlehem 1445 38109
5%
275050 Hebron 2859 107566
14.2%
275055 North Gaza 1877 49923
6.6%
275060 Gaza city 2397 90351
11.9%
275065 Deir Al-Balah 1697 38629
5.1%
275070 Khan Yunis 1828 51297
6.8%
275075 Rafah 1459 32763
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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