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Labor Force Survey, LFS 2019

Egypt, Arab Rep., 2019
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Reference ID
EGY_LFS_2019_HD_V2
Producer(s)
Economic Research Forum, Central Agency For Public Mobilization & Statistics
Collections
Labor Force Surveys
Metadata
DDI/XML JSON
Created on
Jun 10, 2021
Last modified
May 29, 2023
Page views
96517
Downloads
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  • Egypt 2019-LFS
    HH-V2
  • Egypt 2019-LFS
    IND-V2

Region (REG)

Data file: Egypt 2019-LFS HH-V2

Overview

Valid: 80825
Invalid: 0
Type: Discrete
Decimal: 2
Start: 23
End: 28
Width: 6
Range: 818001 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
818001 Cairo 6144
7.6%
818002 Alexandria 4079
5%
818003 Port Said 1115
1.4%
818004 Suez 893
1.1%
818011 Damietta 1884
2.3%
818012 Dakahlia 5506
6.8%
818013 Sharkia 5865
7.3%
818014 Kalyoubia 4545
5.6%
818015 Kafr-El- sheik 3224
4%
818016 Gharbia 4463
5.5%
818017 Menoufia 3813
4.7%
818018 Behira 5370
6.6%
818019 Ismaelia 1481
1.8%
818021 Giza 5686
7%
818022 Beni- Suef 3056
3.8%
818023 Fayoum 3267
4%
818024 Menia 4695
5.8%
818025 Asyout 3708
4.6%
818026 Suhag 4080
5%
818027 Qena 2985
3.7%
818028 Aswan 1583
2%
818029 Luxor 1638
2%
818031 Red Sea 447
0.6%
818032 El-wadi El-Gidid 342
0.4%
818033 Matrouh 473
0.6%
818034 North Sinai 397
0.5%
818035 South Sinai 86
0.1%
999999 Not stated 0
0%
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 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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