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    Home / Central Data Catalog / PAL_LFS_2010_HD_V1 / variable [F27]
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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 IND-V1

Overview

Valid: 116439
Valid (weighted): 2902641.136
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Decimal: 0
Start: 46
End: 51
Width: 6
Range: 275001 - 275075
Format: Numeric
Weighted variable: V2471

Questions and instructions

Categories
Value Category Cases Weighted
275001 Jenin 7507 202940
7%
275005 Tubas 4832 40609
1.4%
275010 Tulkarm 4637 129387
4.5%
275015 Nablus 7970 248469
8.6%
275020 Qalqilia 4503 70439
2.4%
275025 Salfit 4591 45837
1.6%
275030 Ramallah 8114 231024
8%
275035 Jericho 4131 34369
1.2%
275040 Jerusalem 9667 276731
9.5%
275045 Bethlehem 6261 134021
4.6%
275050 Hebron 14470 428100
14.7%
275055 North Gaza 7551 205997
7.1%
275060 Gaza city 9132 372545
12.8%
275065 Deir Al-Balah 6564 148213
5.1%
275070 Khan Yunis 9261 206126
7.1%
275075 Rafah 7248 127834
4.4%
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 individuals
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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