GTM_2023_DIEM_HS_R2_v01_M_v01_A_ESS
Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 2, Guatemala, 2023
DIEM HS GTM R2 2023
| Name | Country code |
|---|---|
| Guatemala | GTM |
Agricultural Survey [ag/oth]
The Food and Agriculture Organization of the United Nations (FAO) conducted a household survey through the Data in Emergencies Monitoring System between 31 January and 3 March 2022 to monitor agricultural livelihoods and food security in both rural and urban populations of Guatemala. Data was collected using a digital questionnaire across the 22 departments of the country, following the second planting season. However, results are presented only for the 20 departments that used the CATI (Computer-Assisted Telephone Interview) method. The final sample consisted of 4 305 households from 20 departments and 281 municipalities.
For more information, see https://data-in-emergencies.fao.org/pages/monitoring.
Sample survey data [ssd]
Households
The survey collected information on:
National coverage
| 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 | Role |
|---|---|---|
| European Union | EU | Funding |
| Food and Agriculture Organization of the United Nations, Special Fund for Emergency and Resilience Activities | SFERA | Funding |
Data was collected using a digital questionnaire following the second planting season. The second round of the survey was conducted across all 22 departments of Guatemala with stratification at the department level (administrative level 1). However, results are presented only for the 20 departments where data collection was carried out via CATI (Computer-Assisted Telephone Interview). The final sample consisted of 4 305 households from 20 departments and 281 municipalities.
Sampling weights were applied to adjust for differences in population size across the 20 departments. Post-stratification weights were applied to correct for potential response bias. These weights included a wealth-based weight which used access to sanitation (hh_wealth_toilet) as a proxy indicator, and an education-based weight based on the highest education level of the household head. The final weight used in the analysis is the product of the design and post-stratification weights.
A link to the questionnaire has been provided in the downloads tab.
| Start | End |
|---|---|
| 2022-01-31 | 2022-03-03 |
The datasets have been edited and processed for analysis by the Food and Agriculture Organization of the United Nations, Data in Emergencies (DIEM) Hub team 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:
The micro dataset will only be used for statistical and/or research purposes;
Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
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;
The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
FAO. 2025. Data in Emergencies Monitoring Household Survey – Guatemala, Round 2, 2023. 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_GTM_2023_DIEM_HS_R2_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 |