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    Home / Central Data Catalog / PAL_LFS_2014_HD_V1 / variable [V2915]
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Labor Force Survey, LFS 2014

Palestine, 2014
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Reference ID
PAL_LFS_2014_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
170950
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  • Palestine14-LFS
    HH-V1
  • Palestine14-LFS
    IND-V1

Area (AREA)

Data file: Palestine14-LFS HH-V1

Overview

Valid: 25735
Valid (weighted): 846572.683
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Decimal: 0
Start: 38
End: 43
Width: 6
Range: 275001 - 275075
Format: Numeric
Weighted variable: V2913

Questions and instructions

Categories
Value Category Cases Weighted
275001 Jenin 1842 60713
7.2%
275005 Tubas 1035 12525
1.5%
275010 Tulkarm 1448 35731
4.2%
275015 Nablus 2044 74524
8.8%
275020 Qalqilia 1061 21610
2.6%
275025 Salfit 932 13836
1.6%
275030 Ramallah 1343 67677
8%
275035 Jericho 701 10152
1.2%
275040 Jerusalem 2262 82328
9.7%
275045 Bethlehem 1438 42097
5%
275050 Hebron 2784 136849
16.2%
275055 North Gaza 1816 57182
6.8%
275060 Gaza city 2301 99467
11.7%
275065 Deir Al-Balah 1593 41919
5%
275070 Khan Yunis 1746 54194
6.4%
275075 Rafah 1389 35769
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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