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    Home / Central Data Catalog / PAL_LFS_2004_HD_V1 / variable [V2888]
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Labor Force Survey, LFS 2004

Palestine, 2004
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Reference ID
PAL_LFS_2004_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
Mar 06, 2016
Last modified
Oct 11, 2016
Page views
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  • Palestine04-LFS
    HH-V1
  • Palestine04-LFS
    IND-V1

Area (AREA)

Data file: Palestine04-LFS IND-V1

Overview

Valid: 113442
Valid (weighted): 2357597.752
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Decimal: 0
Start: 40
End: 45
Width: 6
Range: 275001 - 275075
Format: Numeric
Weighted variable: V2886

Questions and instructions

Categories
Value Category Cases Weighted
275001 Jenin 6720 170144
7.2%
275005 Tubas 3054 31248
1.3%
275010 Tulkarm 4551 110948
4.7%
275015 Nablus 7297 216633
9.2%
275020 Qalqilia 3248 56564
2.4%
275025 Salfit 3121 38613
1.6%
275030 Ramallah 8754 183829
7.8%
275035 Jericho 2862 27178
1.2%
275040 Jerusalem 8759 241264
10.2%
275045 Bethlehem 6989 109750
4.7%
275050 Hebron 15715 328783
13.9%
275055 North Gaza 7703 144231
6.1%
275060 Gaza city 9920 312449
13.3%
275065 Deir Al-Balah 8161 122686
5.2%
275070 Khan Yunis 8980 163290
6.9%
275075 Rafah 7608 99987
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 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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