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    Home / Central Data Catalog / EGY_LFS_2017_HD_V1 / variable [F22]
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Labor Force Survey, LFS 2017

Egypt, 2017
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Reference ID
EGY_LFS_2017_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 30, 2019
Last modified
May 29, 2023
Page views
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  • Study Description
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  • Egypt 2017-LFS
    HH-V1
  • Egypt 2017-LFS
    IND-V1

Geographical workplace of the main job (GWRKPLC)

Data file: Egypt 2017-LFS IND-V1

Overview

Valid: 91405
Valid (weighted): 26060665.613
Invalid: 243991
Invalid (weighted): 69591316.536
Type: Discrete
Decimal: 0
Start: 128
End: 133
Width: 6
Range: 818001 - 999999
Format: Numeric
Weighted variable: V1797

Questions and instructions

Categories
Value Category Cases Weighted
818001 Cairo 8750 2958112
11.4%
818002 Alexandria 2928 1099619
4.2%
818003 Port Said 754 188231
0.7%
818004 Suez 580 144887
0.6%
818011 Damietta 1144 306496
1.2%
818012 Dakahlia 3180 871257
3.3%
818013 Sharkia 3809 1006034
3.9%
818014 Kalyoubia 2755 764670
2.9%
818015 Kafr-El- sheik 1389 392620
1.5%
818016 Gharbia 2783 758416
2.9%
818017 Menoufia 1978 591704
2.3%
818018 Behira 2453 669130
2.6%
818019 Ismaelia 719 198174
0.8%
818021 Giza 4328 1305251
5%
818022 Beni- Suef 1112 271163
1%
818023 Fayoum 1174 281332
1.1%
818024 Menia 1712 445470
1.7%
818025 Asyout 1437 365661
1.4%
818026 Suhag 1350 334076
1.3%
818027 Qena 1171 250900
1%
818028 Aswan 706 193112
0.7%
818029 Luxor 495 119103
0.5%
818031 Red Sea 667 142774
0.5%
818032 El-wadi El-Gidid 374 62984
0.2%
818033 Matrouh 484 83555
0.3%
818034 North Sinai 591 95014
0.4%
818035 South Sinai 278 65647
0.3%
999999 Not stated 42304 12095273
46.4%
Sysmiss 243991 69591317
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
----------------------------------
For those employed but temporary unpaid (MAS_D=130), all main job characteristics were recoded "not stated" since they did not effectively start working.

Other than the 74 cases who are actually missing in the original variable (GOVERN_WORK), the rest of missing cases are for those who are not working in an establishment and for whom no information is provided in the original data.
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