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Labor Force Survey, LFS 2009

Palestine, 2009
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Reference ID
PAL_LFS_2009_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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  • Palestine09-LFS
    HH-V1
  • Palestine09-LFS
    IND-V1

Area (AREA)

Data file: Palestine09-LFS IND-V1

Overview

Valid: 116202
Valid (weighted): 2809455.406
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Decimal: 0
Start: 47
End: 52
Width: 6
Range: 275001 - 275075
Format: Numeric
Weighted variable: V2292

Questions and instructions

Categories
Value Category Cases Weighted
275001 Jenin 7274 195953
7%
275005 Tubas 3922 39281
1.4%
275010 Tulkarm 4948 128186
4.6%
275015 Nablus 8227 242061
8.6%
275020 Qalqilia 4137 66906
2.4%
275025 Salfit 4191 45076
1.6%
275030 Ramallah 8402 213752
7.6%
275035 Jericho 3818 34675
1.2%
275040 Jerusalem 9114 267079
9.5%
275045 Bethlehem 6987 134761
4.8%
275050 Hebron 15401 418399
14.9%
275055 North Gaza 7666 194541
6.9%
275060 Gaza city 8710 346015
12.3%
275065 Deir Al-Balah 7338 151306
5.4%
275070 Khan Yunis 8950 204809
7.3%
275075 Rafah 7117 126653
4.5%
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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