Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 4, Lebanon, 2022
Lebanon, 2022
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LBN_2022_DIEM-HHS-R4_v01_M_v01_A_ESS
Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 4, Lebanon, 2022
DIEM HHS LBN R4 – 2022
| Name | Country code |
|---|---|
| Lebanon | LBN |
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 (approximately every four months, depending on seasonality).
In partnership with Lebanon’s Ministry of Agriculture, FAO conducted a household survey in Lebanon from the 24th of October to the 19th of November 2022 through computer-assisted telephone interviews. This fourth-round survey reached the same cohort of 1 050 agricultural households that has been surveyed since the first round of DIEM-Monitoring in Lebanon. The survey targeted seven governorates – Akkar, Baalbek-El Hermel, Bekaa, Mount Lebanon, El Nabatieh, North and South – by selecting 150 households in each. For more information, please go to https://data-in-emergencies.fao.org/pages/monitoring.
Sample survey data [ssd]
Households
Scope
The survey collected information on the following areas:
- HOUSEHOLD : household information
- INCOME SOURCES, SHOCKS : income changes, shocks experienced by households
- CROP PRODUCTION : crops planted, area planted, area harvested, crop production difficulties
- CROP MARKETING : crop sale difficulties, crop sale price
- LIVESTOCK PRODUCTION : types of livestock present on holding, number of livestock, livestock production difficulties
- LIVESTOCK MARKETING : livestock sale, livestock sale difficulties, livestock sale price
- FISHERIES PRODUCTION : fish activity, comparison of fish production,
- FISHERIES MARKETING : fish sale, fish sale difficulties, fish sale price
- FOOD SECURITY AND CONSUMPTION : food consumption, food utilization, comping strategies
- NEEDS ASSISTANCE : open questions on the needs for assistance
Coverage
National coverage
Producers and sponsors
| Name | Affiliation |
|---|---|
| DIEM Team, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations |
| Name | Affiliation | Role |
|---|---|---|
| Data in Emergencies Hub | Food and Agriculture Organization of the United Nations | Data processing and analysis |
| Name | Abbreviation |
|---|---|
| European Union | EU |
| FAO's Special Fund for Emergency and Rehabilitation | SFERA |
Sampling
The survey targeted the agricultural population using as a sample frame the Lebanon Agricultural Production Survey, a large survey of agricultural households drawn from the Agricultural Census. The survey reached the same cohort of 1 050 agricultural households that has been surveyed since the first round of DIEM-Monitoring in Lebanon with the exception of some households whose substitution was necessary. The survey targeted seven governorates - Akkar, Baalbek-El Hermel, Bekaa, Mount Lebanon, El Nabatieh, North and South - with 150 households selected in each governorate using probability proportional to size based on the Agricultural Production Survey. This sample was stratified by activity type and farm size to enhance representativeness.
To maximize homogeneity within strata and optimize sample allocation, a stratification algorithm based on the "genetic" method proposed by Ballin and Barcaroli-outlined in Stratified Sampling in Multipurpose and Multidomain Surveys: Joint Determination of Optimal Stratification and Sample Allocation-was applied.
Surveys are designed based on country-specific needs, objectives, and constraints. They aim to achieve a 10% margin of error, a 95% confidence level, administrative-level granularity, and sufficient sample sizes for key target populations, including agricultural households.
At the analytical stage, data were weighted to ensure that both farm size and regional population distribution were accurately represented, aligning the analysis with the structure of the agricultural population. A dual weighting approach was adopted to enhance representativeness: first, regional strata weights were applied to adjust the data according to the actual population distribution within each region; second, farm size was used as a proxy for wealth, serving as a corrective weight to address the overrepresentation of large farms in the sample. To support this process, the questionnaire was specifically adapted to capture farm size in a format consistent with the Agricultural Population Census, enabling the application of farm-size weights that ensure smaller farms and underrepresented groups are adequately reflected in the final analysis.
Survey instrument
A link to the questionnaire has been provided in the documentations tab.
Data collection
| Start | End |
|---|---|
| 2022-10-24 | 2022-11-19 |
- Computer Assisted Telephone Interview [cati]
Data processing
The datasets have been edited and processed for analysis by the Data in Emergencies Hub (DIEM) team at the Office of Emergencies and Resilience, FAO, 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 using Statistical Disclosure methods by the Data in Emergencies (DIEM) Hub team and reviewed by the Statistics Division of FAO. All direct identifiers have been removed prior to data submission.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| DIEM Team - Office of Emergencies and Resilience | Food and Agriculture Organization | 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.
The use of the dataset should be referenced in any publication, using the following citation:
FAO. 2025. Data in Emergencies Monitoring Household Survey - Lebanon, Round 4, 2022. data-in-emergencies.fao.org. Dataset downloaded from microdata.fao.org
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| DIEM Team - Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | [email protected] | https://data-in-emergencies.fao.org/ |
Metadata production
DDI_LBN_2022_DIEM-HHS-R4_v01_M_v01_A_ESS_FAO
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| DIEM Team, 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 |