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Data in Emergencies (DIEM) Monitoring System - Household Survey 2022
Round 1

Guatemala, 2022
Get Microdata
Reference ID
GTM_2022_DIEM-HS-R1_v01_M_v01_A_ESS
Producer(s)
Food and Agriculture Organization of the United Nations, Data in Emergencies Hub
Collection(s)
FAO - Food and Agriculture Microdata Catalog
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Oct 22, 2024
Last modified
Oct 22, 2024
Page views
1720

Administrative level 2 - Code (adm2_pcode)

Data file: GTM_R1_anon

Overview

Valid: 4931
Invalid: 0
Type: Discrete
Width: 6
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
GT0101 101
2%
GT0104 8
0.2%
GT0106 19
0.4%
GT0108 14
0.3%
GT0110 28
0.6%
GT0113 8
0.2%
GT0114 19
0.4%
GT0115 34
0.7%
GT0116 17
0.3%
GT0201 53
1.1%
GT0203 76
1.5%
GT0204 16
0.3%
GT0205 16
0.3%
GT0206 71
1.4%
GT0207 16
0.3%
GT0301 36
0.7%
GT0303 25
0.5%
GT0304 26
0.5%
GT0306 9
0.2%
GT0307 8
0.2%
GT0308 35
0.7%
GT0309 8
0.2%
GT0310 8
0.2%
GT0312 53
1.1%
GT0313 15
0.3%
GT0314 25
0.5%
GT0401 14
0.3%
GT0402 11
0.2%
GT0403 16
0.3%
GT0404 25
0.5%
GT0406 37
0.8%
GT0407 33
0.7%
GT0410 7
0.1%
GT0411 19
0.4%
GT0412 6
0.1%
GT0414 8
0.2%
GT0415 43
0.9%
GT0416 16
0.3%
GT0601 24
0.5%
GT0602 23
0.5%
GT0603 17
0.3%
GT0604 24
0.5%
GT0605 32
0.6%
GT0607 10
0.2%
GT0608 7
0.1%
GT0609 23
0.5%
GT0610 38
0.8%
GT0611 8
0.2%
GT0612 8
0.2%
GT0614 25
0.5%
GT0701 95
1.9%
GT0704 32
0.6%
GT0705 40
0.8%
GT0710 16
0.3%
GT0711 8
0.2%
GT0712 14
0.3%
GT0713 14
0.3%
GT0716 9
0.2%
GT0719 19
0.4%
GT0801 18
0.4%
GT0802 93
1.9%
GT0803 65
1.3%
GT0805 39
0.8%
GT0808 32
0.6%
GT0901 48
1%
GT0902 15
0.3%
GT0903 4
0.1%
GT0904 16
0.3%
GT0906 16
0.3%
GT0909 15
0.3%
GT0911 8
0.2%
GT0912 8
0.2%
GT0914 8
0.2%
GT0915 17
0.3%
GT0917 22
0.4%
GT0919 16
0.3%
GT0920 33
0.7%
GT0923 15
0.3%
GT0924 6
0.1%
GT1101 77
1.6%
GT1102 8
0.2%
GT1103 24
0.5%
GT1105 8
0.2%
GT1106 44
0.9%
GT1107 31
0.6%
GT1108 54
1.1%
GT1109 1
0%
GT1201 2
0%
GT1202 66
1.3%
GT1204 24
0.5%
GT1205 21
0.4%
GT1206 1
0%
GT1207 10
0.2%
GT1210 5
0.1%
GT1212 4
0.1%
GT1213 17
0.3%
GT1215 22
0.4%
GT1216 17
0.3%
GT1217 19
0.4%
GT1219 20
0.4%
GT1220 19
0.4%
GT1301 9
0.2%
GT1302 24
0.5%
GT1303 5
0.1%
GT1305 16
0.3%
GT1308 8
0.2%
GT1309 7
0.1%
GT1313 16
0.3%
GT1317 8
0.2%
GT1318 8
0.2%
GT1319 24
0.5%
GT1320 9
0.2%
GT1323 16
0.3%
GT1326 50
1%
GT1327 15
0.3%
GT1330 9
0.2%
GT1332 16
0.3%
GT1333 8
0.2%
GT1401 71
1.4%
GT1404 7
0.1%
GT1405 54
1.1%
GT1406 16
0.3%
GT1410 22
0.4%
GT1411 15
0.3%
GT1412 8
0.2%
GT1413 31
0.6%
GT1415 10
0.2%
GT1416 5
0.1%
GT1421 8
0.2%
GT1501 48
1%
GT1502 16
0.3%
GT1503 44
0.9%
GT1504 57
1.2%
GT1507 21
0.4%
GT1508 61
1.2%
GT1601 56
1.1%
GT1602 16
0.3%
GT1603 21
0.4%
GT1605 8
0.2%
GT1606 9
0.2%
GT1607 8
0.2%
GT1608 8
0.2%
GT1609 29
0.6%
GT1610 17
0.3%
GT1611 24
0.5%
GT1613 28
0.6%
GT1614 8
0.2%
GT1616 8
0.2%
GT1617 8
0.2%
GT1701 17
0.3%
GT1703 9
0.2%
GT1705 39
0.8%
GT1706 32
0.6%
GT1707 8
0.2%
GT1708 33
0.7%
GT1709 47
1%
GT1710 48
1%
GT1712 15
0.3%
GT1801 67
1.4%
GT1802 20
0.4%
GT1803 57
1.2%
GT1804 73
1.5%
GT1805 31
0.6%
GT1901 34
0.7%
GT1902 16
0.3%
GT1903 15
0.3%
GT1904 72
1.5%
GT1905 22
0.4%
GT1906 8
0.2%
GT1907 8
0.2%
GT1909 14
0.3%
GT1910 27
0.5%
GT1911 32
0.6%
GT2001 92
1.9%
GT2003 14
0.3%
GT2004 37
0.8%
GT2005 43
0.9%
GT2006 14
0.3%
GT2007 17
0.3%
GT2009 8
0.2%
GT2010 15
0.3%
GT2011 8
0.2%
GT2101 42
0.9%
GT2102 64
1.3%
GT2103 16
0.3%
GT2104 8
0.2%
GT2105 17
0.3%
GT2106 43
0.9%
GT2107 58
1.2%
GT2201 90
1.8%
GT2202 8
0.2%
GT2203 14
0.3%
GT2205 14
0.3%
GT2206 8
0.2%
GT2207 32
0.6%
GT2209 9
0.2%
GT2210 18
0.4%
GT2211 16
0.3%
GT2212 16
0.3%
GT2213 15
0.3%
GT2217 8
0.2%
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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