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Labor Force Survey, LFS 2022

Egypt, Arab Rep., 2022
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Reference ID
EGY_LFS_2022_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
Nov 15, 2023
Last modified
Nov 16, 2023
Page views
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  • Egypt 2022-LFS
    HH-V1
  • Egypt 2022-LFS
    IND-V1

Region (reg)

Data file: Egypt 2022-LFS IND-V1

Overview

Valid: 299423
Invalid: 0
Minimum: 818001
Maximum: 818035
Type: Discrete
Decimal: 2
Start: 30
End: 35
Width: 6
Range: 818001 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
818001 Cairo 19111
6.4%
818002 Alexandria 14772
4.9%
818003 Port Said 3590
1.2%
818004 Suez 3940
1.3%
818011 Damietta 6824
2.3%
818012 Dakahlia 18163
6.1%
818013 Sharkia 20769
6.9%
818014 Kalyoubia 16905
5.6%
818015 Kafr-El- sheik 11583
3.9%
818016 Gharbia 15176
5.1%
818017 Menoufia 12661
4.2%
818018 Behira 19598
6.5%
818019 Ismaelia 6118
2%
818021 Giza 21637
7.2%
818022 Beni- Suef 12493
4.2%
818023 Fayoum 13754
4.6%
818024 Menia 18854
6.3%
818025 Asyout 15581
5.2%
818026 Suhag 16101
5.4%
818027 Qena 11923
4%
818028 Aswan 6927
2.3%
818029 Luxor 6862
2.3%
818031 Red Sea 2032
0.7%
818032 El-wadi El-Gidid 1930
0.6%
818033 Matrouh 1328
0.4%
818034 North Sinai 0
0%
818035 South Sinai 791
0.3%
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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