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Labor Force Survey, LFS 2012

Egypt, 2012
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Reference ID
EGY_LFS_2012_HD_V1
Producer(s)
Economic Research Forum, Central Agency For Public Mobilization & Statistics
Collections
Labor Force Surveys ERF Harmonized Datasets
Metadata
DDI/XML JSON
Created on
May 31, 2016
Last modified
May 20, 2018
Page views
200657
Downloads
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  • Study Description
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  • Egypt 2012-LFS
    HH-V1
  • Egypt 2012-LFS
    IND-V1

Region (REG)

Data file: Egypt 2012-LFS HH-V1

Overview

Valid: 88324
Invalid: 0
Type: Discrete
Decimal: 0
Start: 15
End: 20
Width: 6
Range: 818001 - 818035
Format: Numeric

Questions and instructions

Categories
Value Category Cases
818001 Cairo 9512
10.8%
818002 Alexandria 5244
5.9%
818003 Port Said 834
0.9%
818004 Suez 880
1%
818011 Damietta 1435
1.6%
818012 Dakahlia 6803
7.7%
818013 Sharkia 6559
7.4%
818014 Kalyoubia 5199
5.9%
818015 Kafr-El- sheik 3134
3.5%
818016 Gharbia 5191
5.9%
818017 Menoufia 3991
4.5%
818018 Behira 5904
6.7%
818019 Ismaelia 1250
1.4%
818021 Giza 7292
8.3%
818022 Beni- Suef 2600
2.9%
818023 Fayoum 2964
3.4%
818024 Menia 4880
5.5%
818025 Asyout 3855
4.4%
818026 Suhag 4322
4.9%
818027 Qena 2689
3%
818028 Aswan 1359
1.5%
818029 Luxor 1143
1.3%
818031 Red Sea 245
0.3%
818032 El-wadi El-Gidid 295
0.3%
818033 Matrouh 277
0.3%
818034 North Sinai 346
0.4%
818035 South Sinai 121
0.1%
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
Region of residence.
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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