Labor Force Survey, LFS 2019
Egypt, Arab Rep., 2019
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Reference ID
EGY_LFS_2019_HD_V2
Producer(s)
Economic Research Forum, Central Agency For Public Mobilization & Statistics
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Created on
Jun 10, 2021
Last modified
May 29, 2023
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- Data files
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Egypt 2019-LFS
HH-V2 -
Egypt 2019-LFS
IND-V2
Geographical workplace of the main job (GWRKPLC)
Data file: Egypt 2019-LFS IND-V2
Overview
Valid:
84881
Invalid:
238076
Type:
Discrete
Decimal:
2
Start:
207
End:
215
Width:
9
Range:
818001 - 999999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 818001 | Cairo | 7683 |
9.1%
|
| 818002 | Alexandria | 2980 |
3.5%
|
| 818003 | Port Said | 950 |
1.1%
|
| 818004 | Suez | 764 |
0.9%
|
| 818011 | Damietta | 1265 |
1.5%
|
| 818012 | Dakahlia | 2636 |
3.1%
|
| 818013 | Sharkia | 2943 |
3.5%
|
| 818014 | Kalyoubia | 2408 |
2.8%
|
| 818015 | Kafr-El- sheik | 1454 |
1.7%
|
| 818016 | Gharbia | 2654 |
3.1%
|
| 818017 | Menoufia | 2077 |
2.4%
|
| 818018 | Behira | 2116 |
2.5%
|
| 818019 | Ismaelia | 1116 |
1.3%
|
| 818021 | Giza | 3318 |
3.9%
|
| 818022 | Beni- Suef | 1259 |
1.5%
|
| 818023 | Fayoum | 1224 |
1.4%
|
| 818024 | Menia | 1488 |
1.8%
|
| 818025 | Asyout | 1297 |
1.5%
|
| 818026 | Suhag | 1431 |
1.7%
|
| 818027 | Qena | 970 |
1.1%
|
| 818028 | Aswan | 738 |
0.9%
|
| 818029 | Luxor | 727 |
0.9%
|
| 818031 | Red Sea | 649 |
0.8%
|
| 818032 | El-wadi El-Gidid | 305 |
0.4%
|
| 818033 | Matrouh | 280 |
0.3%
|
| 818034 | North Sinai | 381 |
0.4%
|
| 818035 | South Sinai | 271 |
0.3%
|
| 999999 | Not stated | 39497 |
46.5%
|
| Sysmiss | 238076 |
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
----------------------------------