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Labor Force Survey, LFS 2016

Egypt, 2016
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Reference ID
EGY_LFS_2016_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
Jan 13, 2018
Last modified
May 29, 2023
Page views
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  • Study Description
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  • Egypt 2016-LFS
    IND-V1
  • Egypt 2016-LFS
    HH-V1

Geographical workplace of the main job (GWRKPLC)

Data file: Egypt 2016-LFS IND-V1

Overview

Valid: 94852
Valid (weighted): 25395910.425
Invalid: 252752
Invalid (weighted): 65545315.575
Type: Discrete
Decimal: 0
Start: 105
End: 110
Width: 6
Range: 818001 - 999999
Format: Numeric
Weighted variable: V1224

Questions and instructions

Categories
Value Category Cases Weighted
818001 Cairo 9317 2843166
11.2%
818002 Alexandria 3181 985490
3.9%
818003 Port Said 875 177057
0.7%
818004 Suez 583 141808
0.6%
818011 Damietta 1143 295493
1.2%
818012 Dakahlia 3375 869675
3.4%
818013 Sharkia 3893 956259
3.8%
818014 Kalyoubia 3504 953615
3.8%
818015 Kafr-El- sheik 1403 390341
1.5%
818016 Gharbia 2802 748167
2.9%
818017 Menoufia 2316 602736
2.4%
818018 Behira 2958 796063
3.1%
818019 Ismaelia 781 199893
0.8%
818021 Giza 4238 1262089
5%
818022 Beni- Suef 1098 271294
1.1%
818023 Fayoum 1200 297694
1.2%
818024 Menia 1857 476785
1.9%
818025 Asyout 1501 362872
1.4%
818026 Suhag 1172 315726
1.2%
818027 Qena 935 221188
0.9%
818028 Aswan 670 189363
0.7%
818029 Luxor 510 132725
0.5%
818031 Red Sea 628 125820
0.5%
818032 El-wadi El-Gidid 402 68801
0.3%
818033 Matrouh 493 84814
0.3%
818034 North Sinai 583 99394
0.4%
818035 South Sinai 312 71247
0.3%
999999 Not stated 43122 11456334
45.1%
Sysmiss 252752 65545316
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 15+
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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