Data in Emergencies Monitoring Household Survey (DIEM) - Round 2, Myanmar, 2021
Myanmar, 2021
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Reference ID
MMR_2021_DEMHS-R2_v01_EN_M_v01_A_OCS
Producer(s)
Food and Agriculture Organization, Data in Emergencies Hub, World Food Programme
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Metadata
Created on
Mar 03, 2022
Last modified
Nov 16, 2022
Page views
7501
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- Data files
- data_anon
Administrative level 3 - Name (adm3_name)
Data file: data_anon
Overview
Valid:
2517
Invalid:
0
Type:
Discrete
Width:
21
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| AHLONE | 3 |
0.1%
|
|
| ANN | 4 |
0.2%
|
|
| BAHAN | 3 |
0.1%
|
|
| BAWLAKE | 4 |
0.2%
|
|
| BHAMO | 75 |
3%
|
|
| BILIN | 36 |
1.4%
|
|
| BOGALE | 18 |
0.7%
|
|
| BUTHIDAUNG | 33 |
1.3%
|
|
| CHAUNGZON | 23 |
0.9%
|
|
| DAGON MYOTHIT [EAST] | 4 |
0.2%
|
|
| DAGON MYOTHIT [NORTH] | 12 |
0.5%
|
|
| DAGON MYOTHIT [SOUTH] | 19 |
0.8%
|
|
| DALA | 13 |
0.5%
|
|
| DANUBYU | 11 |
0.4%
|
|
| DAWBON | 2 |
0.1%
|
|
| DEDAYE | 12 |
0.5%
|
|
| DEMOSO | 44 |
1.7%
|
|
| EINME | 10 |
0.4%
|
|
| FALAM | 36 |
1.4%
|
|
| GWA | 11 |
0.4%
|
|
| HAKHA | 61 |
2.4%
|
|
| HINTHADA | 12 |
0.5%
|
|
| HLAING | 3 |
0.1%
|
|
| HLAINGBWE | 42 |
1.7%
|
|
| HLAINGTHARYA [EAST] | 15 |
0.6%
|
|
| HLAINGTHARYA [WEST] | 20 |
0.8%
|
|
| HLEGU | 8 |
0.3%
|
|
| HMAWBI | 19 |
0.8%
|
|
| HOPANG | 1 |
0%
|
|
| HPA-AN | 112 |
4.4%
|
|
| HPAKANT | 49 |
1.9%
|
|
| HPAPUN | 6 |
0.2%
|
|
| HPASAWNG | 10 |
0.4%
|
|
| HPRUSO | 6 |
0.2%
|
|
| HSENI | 3 |
0.1%
|
|
| HSIPAW | 24 |
1%
|
|
| HTANTABIN | 6 |
0.2%
|
|
| INGAPU | 7 |
0.3%
|
|
| INSEIN | 13 |
0.5%
|
|
| KAMARYUT | 3 |
0.1%
|
|
| KANGYIDAUNT | 3 |
0.1%
|
|
| KANPETLET | 15 |
0.6%
|
|
| KAWHMU | 7 |
0.3%
|
|
| KAWKAREIK | 34 |
1.4%
|
|
| KAYAN | 8 |
0.3%
|
|
| KENGTUNG | 17 |
0.7%
|
|
| KUNGYANGON | 4 |
0.2%
|
|
| KUNLONG | 2 |
0.1%
|
|
| KUTKAI | 3 |
0.1%
|
|
| KYAIKLAT | 2 |
0.1%
|
|
| KYAIKMARAW | 16 |
0.6%
|
|
| KYAIKTO | 28 |
1.1%
|
|
| KYAINSEIKGYI | 27 |
1.1%
|
|
| KYAUKME | 16 |
0.6%
|
|
| KYAUKPYU | 10 |
0.4%
|
|
| KYAUKTAN | 13 |
0.5%
|
|
| KYAUKTAW | 29 |
1.2%
|
|
| KYAUNGGON | 4 |
0.2%
|
|
| KYONPYAW | 3 |
0.1%
|
|
| LABUTTA | 26 |
1%
|
|
| LASHIO | 68 |
2.7%
|
|
| LAUKKAING | 9 |
0.4%
|
|
| LOIKAW | 192 |
7.6%
|
|
| MABEIN | 2 |
0.1%
|
|
| MANSI | 7 |
0.3%
|
|
| MATUPI | 32 |
1.3%
|
|
| MAUBIN | 15 |
0.6%
|
|
| MAUNGDAW | 40 |
1.6%
|
|
| MAWLAMYINE | 52 |
2.1%
|
|
| MAWLAMYINEGYUN | 53 |
2.1%
|
|
| MAYANGONE | 2 |
0.1%
|
|
| MESE | 7 |
0.3%
|
|
| MINBYA | 2 |
0.1%
|
|
| MINDAT | 19 |
0.8%
|
|
| MINGALADON | 11 |
0.4%
|
|
| MOGAUNG | 16 |
0.6%
|
|
| MOHNYIN | 47 |
1.9%
|
|
| MOMAUK | 4 |
0.2%
|
|
| MONGHSAT | 1 |
0%
|
|
| MONGMIT | 11 |
0.4%
|
|
| MONGTON | 2 |
0.1%
|
|
| MRAUK-U | 4 |
0.2%
|
|
| MUDON | 24 |
1%
|
|
| MUNAUNG | 5 |
0.2%
|
|
| MUSE | 23 |
0.9%
|
|
| MYANAUNG | 17 |
0.7%
|
|
| MYAUNGMYA | 10 |
0.4%
|
|
| MYAWADDY | 70 |
2.8%
|
|
| MYEBON | 2 |
0.1%
|
|
| MYITKYINA | 64 |
2.5%
|
|
| NAMHKAN | 2 |
0.1%
|
|
| NAMHSAN | 8 |
0.3%
|
|
| NAMTU | 3 |
0.1%
|
|
| NAWNGHKIO | 30 |
1.2%
|
|
| NGAPUDAW | 6 |
0.2%
|
|
| NORTH OKKALAPA | 14 |
0.6%
|
|
| NYAUNGDON | 11 |
0.4%
|
|
| PALETWA | 3 |
0.1%
|
|
| PANTANAW | 14 |
0.6%
|
|
| PATHEIN | 19 |
0.8%
|
|
| PAUNG | 34 |
1.4%
|
|
| PAZUNDAUNG | 2 |
0.1%
|
|
| PUTA-O | 4 |
0.2%
|
|
| PYAPON | 12 |
0.5%
|
|
| RATHEDAUNG | 30 |
1.2%
|
|
| SHWEPYITHAR | 17 |
0.7%
|
|
| SITTWE | 53 |
2.1%
|
|
| TACHILEIK | 18 |
0.7%
|
|
| TAIKKYI | 12 |
0.5%
|
|
| TAMWE | 2 |
0.1%
|
|
| TANAI | 8 |
0.3%
|
|
| TANGYAN | 7 |
0.3%
|
|
| TEDIM | 47 |
1.9%
|
|
| THABAUNG | 5 |
0.2%
|
|
| THAKETA | 10 |
0.4%
|
|
| THANBYUZAYAT | 23 |
0.9%
|
|
| THANDAUNGGYI | 11 |
0.4%
|
|
| THANDWE | 30 |
1.2%
|
|
| THANLYIN | 17 |
0.7%
|
|
| THANTLANG | 8 |
0.3%
|
|
| THATON | 50 |
2%
|
|
| THINGANGYUN | 4 |
0.2%
|
|
| THONGWA | 5 |
0.2%
|
|
| TONZANG | 22 |
0.9%
|
|
| TOUNGUP | 30 |
1.2%
|
|
| TWANTAY | 14 |
0.6%
|
|
| WAINGMAW | 18 |
0.7%
|
|
| WAKEMA | 6 |
0.2%
|
|
| YANKIN | 2 |
0.1%
|
|
| YE | 24 |
1%
|
|
| YEGYI | 7 |
0.3%
|
|
| ZALUN | 4 |
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.