PAK_2024_DIEM_HS_R6_v01_M_v01_A_ESS
Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 6, Pakistan, 2024
DIEM HHS PAK R6 – 2024
| Name | Country code |
|---|---|
| Pakistan | PAK |
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 sixth round of the DIEM-Monitoring household survey in Pakistan to assess rural agricultural livelihoods and food security. Data collection took place from 14 August to 4 September 2024. A total of 6292 households were surveyed across 24 rural districts in Sindh, Balochistan, and Khyber Pakhtunkhwa provinces. The sample was representative at the district level and was weighted using demographic data.
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 |
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 survey applied a stratified sampling design targeting 24 rural districts across Sindh, Balochistan, and Khyber Pakhtunkhwa provinces. The sampling was representative at the district level. Households were selected to capture variability across agricultural settings (e.g., irrigated, rainfed, desert zones) and types of livelihood engagement (crop, livestock, mixed, and non-agricultural).
Weighting was applied using demographic information to ensure that results are representative of the rural populations within the selected districts. Adjustments considered key variables such as household size and structure to align the sample with population distributions. Weights allow for valid estimation of food security and livelihood indicators at the district level.
A link to the questionnaire has been provided in the downloads tab.
| Start | End |
|---|---|
| 2024-08-13 | 2024-09-24 |
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 - Pakistan, Round 6, 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_PAK_2024_DIEM_HS_R6_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 |