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LFS

LFS 2022

Mongolia, 2022
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Reference ID
DDI-MNG-NSO-ENG-LFS-2022-v1.0
Producer(s)
National Statistical of Office
Collections
LABOUR FORCE SURVEY
Metadata
DDI/XML JSON
Created on
Oct 16, 2025
Last modified
Nov 04, 2025
Page views
5265
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11
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  • 2.
    LFS-2022_data_eng

During the last 7 days, why did you actually work more or less than your usual hours of work per week? (G04)

Data file: 2. LFS-2022_data_eng

Overview

Valid: 1239
Invalid: 50960
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Variable working time/ nature of work (shift work, flexible 91
7.3%
2 Contractual hours (part-time job, government job) 7
0.6%
3 Increase in workload, high workload during the last days 202
16.3%
4 To have a higher income 4
0.3%
5 Days off, holidays, annual leave, special leave 155
12.5%
6 Personal, family reasons, family responsibilities 134
10.8%
7 Illness, injuries, etc. 43
3.5%
8 Reduction in clients or orders, lack of raw material/ energy 38
3.1%
9 Schooling or training 11
0.9%
10 Strike or labour dispute 0
0%
11 Start/End/Change of jobs 11
0.9%
12 Seasonal work, low season 337
27.2%
13 Bad weather, natural disaster 42
3.4%
14 10
0.8%
99 Other 154
12.4%
Sysmiss 50960
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.
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