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
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Created on
Nov 15, 2023
Last modified
Nov 16, 2023
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- Data files
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Egypt 2022-LFS
HH-V1 -
Egypt 2022-LFS
IND-V1
Geographical workplace of the main job (gwrkplc)
Data file: Egypt 2022-LFS IND-V1
Overview
Valid:
76411
Invalid:
223012
Minimum:
818001
Maximum:
999999
Type:
Discrete
Decimal:
2
Start:
135
End:
140
Width:
6
Range:
818001 - 999999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 818001 | Cairo | 6117 |
8%
|
| 818002 | Alexandria | 3032 |
4%
|
| 818003 | Port Said | 840 |
1.1%
|
| 818004 | Suez | 866 |
1.1%
|
| 818011 | Damietta | 1243 |
1.6%
|
| 818012 | Dakahlia | 2233 |
2.9%
|
| 818013 | Sharkia | 2699 |
3.5%
|
| 818014 | Kalyoubia | 2241 |
2.9%
|
| 818015 | Kafr-El- sheik | 1501 |
2%
|
| 818016 | Gharbia | 2386 |
3.1%
|
| 818017 | Menoufia | 1743 |
2.3%
|
| 818018 | Behira | 1740 |
2.3%
|
| 818019 | Ismaelia | 992 |
1.3%
|
| 818021 | Giza | 3573 |
4.7%
|
| 818022 | Beni- Suef | 1199 |
1.6%
|
| 818023 | Fayoum | 769 |
1%
|
| 818024 | Menia | 1605 |
2.1%
|
| 818025 | Asyout | 1304 |
1.7%
|
| 818026 | Suhag | 1095 |
1.4%
|
| 818027 | Qena | 902 |
1.2%
|
| 818028 | Aswan | 797 |
1%
|
| 818029 | Luxor | 812 |
1.1%
|
| 818031 | Red Sea | 658 |
0.9%
|
| 818032 | El-wadi El-Gidid | 381 |
0.5%
|
| 818033 | Matrouh | 161 |
0.2%
|
| 818034 | North Sinai | 54 |
0.1%
|
| 818035 | South Sinai | 286 |
0.4%
|
| 999999 | Not stated | 35182 |
46%
|
| Sysmiss | 223012 |
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
----------------------------------
----------------------
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
----------------------------------