PSE_2024_DIEM_HS_R1_v01_M_v01_A_ESS
Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 1, Palestine, 2024
DIEM HHS PSE R1 – 2024
| Name | Country code |
|---|---|
| Palestine | PSE |
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 launched the first round of the DIEM-Monitoring household survey in Palestine (West Bank governorates) in May 2024 as a pilot initiative to test the methodology in this context. Data collection was conducted via mobile phone interviews. A total of 1323 beneficiary households were surveyed across eight governorates, including a combined stratum for Qalqilya, Salfit, and Tulkarm governorates. The sampling design ensured proportional representation of the FAO beneficiary population, particularly agricultural households, with oversampling of livestock producers.
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:
West Bank
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 |
Surveys are designed based on country-specific needs, objectives, and constraints. They aim to achieve a 10 percent margin of error, a 95 percent confidence level, administrative-level granularity, and sufficient sample sizes for key target populations, including agricultural households.
The DIEM Round 1 survey was conducted in the West Bank; it applied a stratified sampling approach limited to FAO beneficiary households from 2019 to 2023. The sample was designed to be representative of this target group across eight governorates. Three governorates — Qalqilya, Salfit, and Tulkarm — were merged into a single stratum due to small sample sizes. A total of 1323 interviews were completed, with minimum required samples reached in all strata except Jericho. The sample was skewed towards agricultural households, particularly livestock producers, due to the nature of past FAO input distribution programs.
Sample weights were manually computed using population distribution data for FAO beneficiaries and livelihood engagement categories (crop vs. livestock producers). Adjustments were made using an external weight table to reflect proportional representation across strata. Manual verification of income sources (e.g., resp_islsproducer, resp_iscropproducer) was conducted using the original hh_agricactivity_raw variable due to classification inconsistencies. Final weights were included in the cleaned dataset for proper aggregation of indicators.
A link to the questionnaire has been provided in the downloads tab.
| Start | End |
|---|---|
| 2024-04-18 | 2024-05-27 |
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 - Palestine, Round 1, 2024. 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_PSE_2024_DIEM_HS_R1_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 |