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    Home / Central Data Catalog / PAL_LFS_2007_HD_V1 / variable [F29]
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Labor Force Survey, LFS 2007

Palestine, 2007
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Reference ID
PAL_LFS_2007_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
Dec 27, 2015
Last modified
Oct 11, 2016
Page views
145832
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  • Palestine07-LFS
    HH-V1
  • Palestine07-LFS
    IND-V1

Area (AREA)

Data file: Palestine07-LFS HH-V1

Overview

Valid: 25529
Valid (weighted): 638115.569
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Decimal: 0
Start: 36
End: 41
Width: 6
Range: 275001 - 275075
Format: Numeric
Weighted variable: V2503

Questions and instructions

Categories
Value Category Cases Weighted
275001 Jenin 1782 46787
7.3%
275005 Tubas 788 8636
1.4%
275010 Tulkarm 1164 29707
4.7%
275015 Nablus 1872 58750
9.2%
275020 Qalqilia 984 16000
2.5%
275025 Salfit 993 10958
1.7%
275030 Ramallah 2022 52425
8.2%
275035 Jericho 672 7253
1.1%
275040 Jerusalem 2048 71689
11.2%
275045 Bethlehem 1726 31471
4.9%
275050 Hebron 3317 87645
13.7%
275055 North Gaza 1538 39782
6.2%
275060 Gaza city 1821 75901
11.9%
275065 Deir Al-Balah 1577 31926
5%
275070 Khan Yunis 1814 42671
6.7%
275075 Rafah 1411 26515
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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