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Labor Force Survey, LFS 2021

Egypt, Arab Rep., 2021
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Reference ID
EGY_LFS_2021_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
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  • Egypt 2021-LFS
    HH-V1
  • Egypt 2021-LFS
    IND-V1

Geographical workplace of the main job (gwrkplc)

Data file: Egypt 2021-LFS IND-V1

Overview

Valid: 81498
Invalid: 231935
Minimum: 818001
Maximum: 999999
Type: Discrete
Decimal: 2
Start: 223
End: 231
Width: 9
Range: 818001 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
818001 Cairo 6796
8.3%
818002 Alexandria 2862
3.5%
818003 Port Said 958
1.2%
818004 Suez 833
1%
818011 Damietta 1344
1.6%
818012 Dakahlia 2458
3%
818013 Sharkia 3008
3.7%
818014 Kalyoubia 2355
2.9%
818015 Kafr-El- sheik 1650
2%
818016 Gharbia 2527
3.1%
818017 Menoufia 2134
2.6%
818018 Behira 1827
2.2%
818019 Ismaelia 1153
1.4%
818021 Giza 3670
4.5%
818022 Beni- Suef 1246
1.5%
818023 Fayoum 1056
1.3%
818024 Menia 1783
2.2%
818025 Asyout 1493
1.8%
818026 Suhag 1228
1.5%
818027 Qena 926
1.1%
818028 Aswan 830
1%
818029 Luxor 706
0.9%
818031 Red Sea 640
0.8%
818032 El-wadi El-Gidid 371
0.5%
818033 Matrouh 222
0.3%
818034 North Sinai 55
0.1%
818035 South Sinai 297
0.4%
999999 Not stated 37070
45.5%
Sysmiss 231935
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
This variable provides information about the geographical place of work (e.g. district/ governorate/ region) of the main job.
Universe
Employed individuals aged 6+
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
----------------------
The geographical workplace is generated using the highest level of aggregation provided in the original data, and broke down by urban/rural if possible.


COUNTRY SPECIFIC NOTES
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