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Labor Force Survey, LFS 2020

Egypt, Arab Rep., 2020
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Reference ID
EGY_LFS_2020_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
Dec 12, 2022
Last modified
May 29, 2023
Page views
90764
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  • Study Description
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  • Egypt 2020-LFS
    HH-V1
  • Egypt 2020-LFS
    IND-V1

Region (reg)

Data file: Egypt 2020-LFS IND-V1

Overview

Valid: 281487
Invalid: 0
Minimum: 818001
Maximum: 818035
Type: Discrete
Decimal: 2
Start: 48
End: 56
Width: 9
Range: 818001 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
818001 Cairo 16622
5.9%
818002 Alexandria 13056
4.6%
818003 Port Said 3451
1.2%
818004 Suez 2829
1%
818011 Damietta 6661
2.4%
818012 Dakahlia 17410
6.2%
818013 Sharkia 21417
7.6%
818014 Kalyoubia 14252
5.1%
818015 Kafr-El- sheik 11010
3.9%
818016 Gharbia 14591
5.2%
818017 Menoufia 13213
4.7%
818018 Behira 19369
6.9%
818019 Ismaelia 5796
2.1%
818021 Giza 19433
6.9%
818022 Beni- Suef 12147
4.3%
818023 Fayoum 13284
4.7%
818024 Menia 17870
6.3%
818025 Asyout 14931
5.3%
818026 Suhag 15984
5.7%
818027 Qena 10749
3.8%
818028 Aswan 5763
2%
818029 Luxor 5676
2%
818031 Red Sea 1750
0.6%
818032 El-wadi El-Gidid 1248
0.4%
818033 Matrouh 1925
0.7%
818034 North Sinai 532
0.2%
818035 South Sinai 518
0.2%
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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