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Монгол
LFS

LFS 2019

Mongolia, 2019
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Reference ID
DDI-MNG-NSO-EN-LFS-2019-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
4965
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12
  • Study Description
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  • 3.-LFSdata_2019_eng

What is the name of the province/city or country where you were born? (A17)

Data file: 3.-LFSdata_2019_eng

Overview

Valid: 17036
Invalid: 27204
Type: Discrete
Decimal: 0
Width: 2
Range: 11 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Ulaanbaatar 3794
22.3%
21 Dornod 395
2.3%
22 Sukhbaatar 934
5.5%
23 Khentii 684
4%
41 Tuv 550
3.2%
42 Govisumber 135
0.8%
43 Selenge 561
3.3%
44 Dornogovi 651
3.8%
45 Darkhan-Uul 603
3.5%
46 Umnugovi 204
1.2%
48 Dundgovi 703
4.1%
61 Orkhon 174
1%
62 Uvurkhangai 832
4.9%
63 Bulgan 850
5%
64 Bayankhongor 514
3%
65 Arkhangai 885
5.2%
67 Khuvsgul 797
4.7%
81 Zavkhan 1022
6%
82 Govi-Altai 588
3.5%
83 Bayan-Ugii 593
3.5%
84 Khovd 538
3.2%
85 Uvs 972
5.7%
99 in another 57
0.3%
Sysmiss 27204
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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