Labor Force Survey, LFS 2019
Palestine, 2019 - 2020
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Reference ID
PAL_LFS_2019_HD_V1
Producer(s)
Economic Research Forum, Palestinian Central Bureau of Statistics
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Created on
Aug 11, 2021
Last modified
Aug 11, 2021
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- Data files
-
Palestine19-LFS
HH-V1 -
Palestine19-LFS
IND-V1
Area (AREA)
Data file: Palestine19-LFS IND-V1
Overview
Valid:
92592
Valid (weighted):
92592
Invalid:
0
Invalid (weighted):
0
Type:
Discrete
Decimal:
0
Start:
41
End:
46
Width:
6
Range:
275001 - 275075
Format:
Numeric
Weighted variable:
V5284
Questions and instructions
Categories
| Value | Category | Cases | Weighted | |
|---|---|---|---|---|
| 275001 | Jenin | 5912 | 6117 |
6.6%
|
| 275005 | Tubas | 3762 | 1204 |
1.3%
|
| 275010 | Tulkarm | 4738 | 3725 |
4%
|
| 275015 | Nablus | 7300 | 7721 |
8.3%
|
| 275020 | Qalqilia | 3638 | 2235 |
2.4%
|
| 275025 | Salfit | 2230 | 1385 |
1.5%
|
| 275030 | Ramallah | 3314 | 6583 |
7.1%
|
| 275035 | Jericho | 2706 | 987 |
1.1%
|
| 275040 | Jerusalem | 7062 | 8114 |
8.8%
|
| 275045 | Bethlehem | 5612 | 4446 |
4.8%
|
| 275050 | Hebron | 9859 | 14248 |
15.4%
|
| 275055 | North Gaza | 6924 | 6805 |
7.3%
|
| 275060 | Gaza city | 9918 | 12704 |
13.7%
|
| 275065 | Deir Al-Balah | 6880 | 5131 |
5.5%
|
| 275070 | Khan Yunis | 6943 | 6966 |
7.5%
|
| 275075 | Rafah | 5794 | 4221 |
4.6%
|
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
Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village.
Universe
All individuals
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
----------------------
To generate the Region and Area of residence, the original variables will be recoded to include the country UN standardized 3 digits code (already used in COUNTRY) in addition to the REG or AREA code, standardized on 3 digits as well.
This is to avoid possible mismatches between these two variables' codes across different countries when the datasets are merged.
COUNTRY SPECIFIC NOTES
----------------------------------
----------------------
To generate the Region and Area of residence, the original variables will be recoded to include the country UN standardized 3 digits code (already used in COUNTRY) in addition to the REG or AREA code, standardized on 3 digits as well.
This is to avoid possible mismatches between these two variables' codes across different countries when the datasets are merged.
COUNTRY SPECIFIC NOTES
----------------------------------