MMR_2025_DIEM_HS_R12_v01_M_v01_A_ESS
Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 12, Myanmar, 2025
DIEM HHS MMR R12 – 2025
| Name | Country code |
|---|---|
| Myanmar | MMR |
Agricultural Survey [ag/oth]
The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains. The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). FAO and the World Food Programme (WFP) launched Round 12 of the survey in Myanmar to monitor the continued impact of shocks. Data collection started on 20 July 2025 and concluded on 26 August 2025. A hybrid methodology was adopted: 3100 CATI interviews were conducted in 12 states/regions, and 1624 CAPI interviews were carried out in hard-to-reach townships in Chin, Kachin, Kayah, Rakhine, and Sagaing. The data is representative at state/region level, with additional sub-regional coverage, and weighted by household demographics, farming engagement, and education.
For more information, see https://data-in-emergencies.fao.org/pages/monitoring.
Sample survey data [ssd]
Households
The survey collected information on the following areas:
National coverage
Entire population.
| Name |
|---|
| Food and Agriculture Organization of the United Nations, Data in Emergencies Hub, Office of Emergencies and Resilience |
| Name | Affiliation | Role |
|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | Data processing and analysis |
| Name | Abbreviation |
|---|---|
| European Union | EU |
| Food and Agriculture Organization of the United Nations, Special Fund for Emergency and Resilience Activities | SFERA |
The twelfth round of the DIEM-Monitoring survey in Myanmar used a hybrid sampling design combining Computer-Assisted Telephone Interviewing (CATI) and Computer-Assisted Personal Interviewing (CAPI). The CATI sample (3100 households) was drawn using stratified sampling by state/region (Admin 1), based on existing contact lists supplemented by Random Digit Dialing (RDD). The CAPI component (1624 households) used a two-stage cluster sampling strategy, stratified by IPC township groups in hard-to-reach and conflict-affected areas. In the first stage, clusters were selected using Probability Proportional to Size (PPS), and in the second stage, households were randomly selected within each cluster. Specific quotas and caps were applied at township level to ensure geographical representativeness and prevent oversampling in urban areas.
While the target was 4600 households across Myanmar, the final number of completed interviews was 2552. The survey was not representative in Nay Pyi Taw and had limited representativeness in Chin, Kachin, Kayah, and Rakhine due to low sample sizes.
Sampling weights were applied to ensure representativeness across states and regions. The weights account for the probability of selection in both CATI and CAPI samples. For CATI, adjustments were made based on the sampling frame and stratification by region. For CAPI, design weights reflected the two-stage cluster sampling approach. Post-stratification adjustments were applied using demographic variables, household engagement in agriculture, and a wealth proxy based on the education level of the household head. Urban/rural proportions were not explicitly used in weighting.
A link to the questionnaire has been provided in the downloads tab.
| Start | End |
|---|---|
| 2025-07-20 | 2025-08-26 |
The datasets have been edited and processed for analysis by the Food and Agriculture Organization of the United Nations, Data in Emergencies (DIEM) Hub at the Office of Emergencies and Resilience, with some dashboards and visualizations produced. For more information, see https://data-in-emergencies.fao.org/pages/countries.
STATISTICAL DISCLOSURE CONTROL (SDC)
The dataset was anonymized by the Food and Agriculture Organization of the United Nations, Data in Emergencies (DIEM) Hub and reviewed by the Statistics Division, using Statistical Disclosure methods in accordance with FAO Corporate Statistical Disclosure Control Protocol. All direct identifiers have been removed prior to data submission. For more information, see https://openknowledge.fao.org/server/api/core/bitstreams/833ee200-0484-4f87-8f5c-b3fed4a3722b/content.
| Name | Affiliation | URL | |
|---|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | https://data-in-emergencies.fao.org/ | [email protected] |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO. |
Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:
FAO. 2025. Data in Emergencies Monitoring Household Survey - Myanmar, Round 12, 2025. data-in-emergencies.fao.org. Dataset downloaded from microdata.fao.org.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
| Name | Affiliation | URL | |
|---|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | [email protected] | https://data-in-emergencies.fao.org/ |
DDI_MMR_2025_DIEM_HS_R12_v01_M_v01_A_ESS_FAO
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | OER | Food and Agriculture Organization of the United Nations | Metadata producer |
| Statistics Division | ESS | Food and Agriculture Organization of the United Nations | Metadata adapted for FAM |