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Labor Force Survey, LFS 2011

Palestine, 2011
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Reference ID
PAL_LFS_2011_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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  • Palestine11-LFS
    HH-V1
  • Palestine11-LFS
    IND-V1

Area (AREA)

Data file: Palestine11-LFS HH-V1

Overview

Valid: 28082
Valid (weighted): 714928.032
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Decimal: 0
Start: 37
End: 42
Width: 6
Range: 275001 - 275075
Format: Numeric
Weighted variable: V2555

Questions and instructions

Categories
Value Category Cases Weighted
275001 Jenin 1859 51839
7.3%
275005 Tubas 1193 10097
1.4%
275010 Tulkarm 1168 32198
4.5%
275015 Nablus 2078 64511
9%
275020 Qalqilia 1162 18140
2.5%
275025 Salfit 1176 12083
1.7%
275030 Ramallah 1918 58845
8.2%
275035 Jericho 950 8362
1.2%
275040 Jerusalem 2454 76419
10.7%
275045 Bethlehem 1542 36094
5%
275050 Hebron 3149 100779
14.1%
275055 North Gaza 1746 46053
6.4%
275060 Gaza city 2187 84788
11.9%
275065 Deir Al-Balah 1670 36081
5%
275070 Khan Yunis 2155 48205
6.7%
275075 Rafah 1675 30435
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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