Data in Emergencies (DIEM) Monitoring System - Household Survey 2023
Round 4
Mozambique, 2022
Get Microdata
Reference ID
MOZ_2023_DIEM-HS-R4_v01_M_v01_A_ESS
Producer(s)
Food and Agriculture Organization of the United Nations, Data in Emergencies Hub
Metadata
Created on
Oct 22, 2024
Last modified
Oct 22, 2024
Page views
518
- Data files
- data_anon
Administrative level 2 - Name (adm2_name)
Data file: data_anon
Overview
Valid:
1920
Invalid:
0
Type:
Discrete
Width:
19
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Alto Molocue | 12 |
0.6%
|
|
| Ancuabe | 8 |
0.4%
|
|
| Angoche | 10 |
0.5%
|
|
| Angonia | 11 |
0.6%
|
|
| Balama | 3 |
0.2%
|
|
| Barue | 10 |
0.5%
|
|
| Bilene | 32 |
1.7%
|
|
| Boane | 31 |
1.6%
|
|
| Buzi | 6 |
0.3%
|
|
| Cahora Bassa | 12 |
0.6%
|
|
| Caia | 7 |
0.4%
|
|
| Changara | 9 |
0.5%
|
|
| Cheringoma | 1 |
0.1%
|
|
| Chibuto | 31 |
1.6%
|
|
| Chicualacuala | 1 |
0.1%
|
|
| Chifunde | 7 |
0.4%
|
|
| Chigubo | 2 |
0.1%
|
|
| Chimbonila | 6 |
0.3%
|
|
| Chiure | 19 |
1%
|
|
| Chiuta | 8 |
0.4%
|
|
| Chokwe | 33 |
1.7%
|
|
| Chongoene | 15 |
0.8%
|
|
| Cidade Da Beira | 99 |
5.2%
|
|
| Cidade Da Matola | 125 |
6.5%
|
|
| Cidade De Chimoio | 79 |
4.1%
|
|
| Cidade De Inhambane | 20 |
1%
|
|
| Cidade De Lichinga | 54 |
2.8%
|
|
| Cidade De Maputo | 153 |
8%
|
|
| Cidade De Nampula | 85 |
4.4%
|
|
| Cidade De Pemba | 53 |
2.8%
|
|
| Cidade De Quelimane | 54 |
2.8%
|
|
| Cidade De Tete | 45 |
2.3%
|
|
| Cidade De Xai-Xai | 66 |
3.4%
|
|
| Cuamba | 53 |
2.8%
|
|
| Derre | 1 |
0.1%
|
|
| Doa | 5 |
0.3%
|
|
| Dondo | 26 |
1.4%
|
|
| Erati | 2 |
0.1%
|
|
| Gile | 6 |
0.3%
|
|
| Gondola | 28 |
1.5%
|
|
| Govuro | 8 |
0.4%
|
|
| Guija | 5 |
0.3%
|
|
| Guro | 11 |
0.6%
|
|
| Gurue | 6 |
0.3%
|
|
| Homoine | 7 |
0.4%
|
|
| Ile | 4 |
0.2%
|
|
| Ilha Licom | 1 |
0.1%
|
|
| Inharrime | 9 |
0.5%
|
|
| Inhassoro | 3 |
0.2%
|
|
| Inhassunge | 2 |
0.1%
|
|
| Jangamo | 11 |
0.6%
|
|
| Lago | 5 |
0.3%
|
|
| Lago Niassa | 2 |
0.1%
|
|
| Larde | 1 |
0.1%
|
|
| Limpopo | 4 |
0.2%
|
|
| Luabo | 1 |
0.1%
|
|
| Lugela | 3 |
0.2%
|
|
| Mabalane | 1 |
0.1%
|
|
| Mabote | 6 |
0.3%
|
|
| Macanga | 2 |
0.1%
|
|
| Macate | 12 |
0.6%
|
|
| Machanga | 2 |
0.1%
|
|
| Machaze | 9 |
0.5%
|
|
| Macomia | 8 |
0.4%
|
|
| Macossa | 1 |
0.1%
|
|
| Maganja Da Costa | 3 |
0.2%
|
|
| Magoe | 2 |
0.1%
|
|
| Magude | 11 |
0.6%
|
|
| Majune | 3 |
0.2%
|
|
| Malema | 2 |
0.1%
|
|
| Mandimba | 6 |
0.3%
|
|
| Mandlakaze | 23 |
1.2%
|
|
| Manhiça | 23 |
1.2%
|
|
| Manica | 44 |
2.3%
|
|
| Marara | 5 |
0.3%
|
|
| Maravia | 2 |
0.1%
|
|
| Maringue | 1 |
0.1%
|
|
| Marracuene | 48 |
2.5%
|
|
| Marromeu | 6 |
0.3%
|
|
| Marrupa | 3 |
0.2%
|
|
| Massangena | 1 |
0.1%
|
|
| Massinga | 20 |
1%
|
|
| Matutuine | 9 |
0.5%
|
|
| Maua | 2 |
0.1%
|
|
| Mavago | 2 |
0.1%
|
|
| Maxixe | 28 |
1.5%
|
|
| Mecanhelas | 11 |
0.6%
|
|
| Mecufi | 2 |
0.1%
|
|
| Mecula | 1 |
0.1%
|
|
| Meluco | 1 |
0.1%
|
|
| Metarica | 2 |
0.1%
|
|
| Metuge | 6 |
0.3%
|
|
| Milange | 12 |
0.6%
|
|
| Moamba | 7 |
0.4%
|
|
| Moatize | 30 |
1.6%
|
|
| Mocimboa Da Praia | 1 |
0.1%
|
|
| Mocuba | 16 |
0.8%
|
|
| Mocubela | 1 |
0.1%
|
|
| Mogovolas | 2 |
0.1%
|
|
| Moma | 3 |
0.2%
|
|
| Monapo | 11 |
0.6%
|
|
| Montepuez | 36 |
1.9%
|
|
| Morrumbala | 4 |
0.2%
|
|
| Morrumbene | 2 |
0.1%
|
|
| Mossuril | 1 |
0.1%
|
|
| Muecate | 2 |
0.1%
|
|
| Mueda | 9 |
0.5%
|
|
| Mulevala | 2 |
0.1%
|
|
| Murrupula | 2 |
0.1%
|
|
| Mutarara | 6 |
0.3%
|
|
| Nacala | 25 |
1.3%
|
|
| Nacala-A-Velha | 1 |
0.1%
|
|
| Nacaroa | 1 |
0.1%
|
|
| Namaacha | 3 |
0.2%
|
|
| Namacurra | 3 |
0.2%
|
|
| Namarroi | 1 |
0.1%
|
|
| Namuno | 4 |
0.2%
|
|
| Nangade | 4 |
0.2%
|
|
| Ngauma | 4 |
0.2%
|
|
| Nhamatanda | 20 |
1%
|
|
| Nicoadala | 12 |
0.6%
|
|
| Panda | 2 |
0.1%
|
|
| Pebane | 7 |
0.4%
|
|
| Rapale | 3 |
0.2%
|
|
| Ribaue | 5 |
0.3%
|
|
| Sanga | 5 |
0.3%
|
|
| Sussundenga | 10 |
0.5%
|
|
| Tambara | 1 |
0.1%
|
|
| Tsangano | 1 |
0.1%
|
|
| Vanduzi | 6 |
0.3%
|
|
| Vilankulo | 26 |
1.4%
|
|
| Zavala | 8 |
0.4%
|
|
| Zumbu | 2 |
0.1%
|
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.