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    Home / Central Data Catalog / YEM_LFS_2013_HD_V1 / variable [F11]
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Labor Force Survey, LFS 2013-2014

Yemen, 2013 - 2014
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Reference ID
YEM_LFS_2013_HD_V1
Producer(s)
Economic Research Forum, ILO Regional Office for Arab States, Central Statistical Organization
Collections
Labor Force Surveys ERF Harmonized Datasets
Metadata
DDI/XML JSON
Created on
Oct 15, 2017
Last modified
Oct 15, 2017
Page views
223680
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  • Yemen
    2013-2014-LFS
    HH-V1
  • Yemen
    2013-2014-LFS
    IND-V1

Region (REG)

Data file: Yemen 2013-2014-LFS HH-V1

Overview

Valid: 12663
Valid (weighted): 3233301.377
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Decimal: 0
Start: 25
End: 30
Width: 6
Range: 818001 - 818035
Format: Numeric
Weighted variable: V1186

Questions and instructions

Categories
Value Category Cases Weighted
887011 Ibb 979 408698
12.6%
887012 Abyan 475 62471
1.9%
887013 Sana'a City 955 194553
6%
887014 Al-baidha 483 106373
3.3%
887015 Taiz 1204 430780
13.3%
887016 AlJawf 372 19115
0.6%
887017 Hajjah 762 228428
7.1%
887018 Al-Hodeidah 1206 310683
9.6%
887019 Hadramout 727 136414
4.2%
887020 Dhamar 739 236654
7.3%
887021 Shabwah 426 112705
3.5%
887022 Sadah 565 106507
3.3%
887023 Sana'a 480 164627
5.1%
887024 Aden 549 81981
2.5%
887025 Lahj 546 125725
3.9%
887026 Mareb 248 80828
2.5%
887027 Al-Mhweit 446 92266
2.9%
887028 Al-Mhrah 251 14977
0.5%
887029 Amran 553 97071
3%
887030 Al-Dhalae 383 144595
4.5%
887031 Reimah 314 77849
2.4%
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
Region of residence.
Universe
All households
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
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