Data in Emergencies Monitoring System - Household Survey 2022
Round 3
Lebanon, 2022
Get MicrodataIdentification
LBN_2022_DIEM-HS-R3_v01_M_v01_A_ESS
Data in Emergencies Monitoring System - Household Survey 2022
Round 3
DIEM-HS-R3 2022
| Name | Country code |
|---|---|
| Lebanon | LBN |
Agricultural Survey [ag/oth]
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 conducted a Round 3 household survey using computer-assisted telephone interviews from 17 July to 8 August 2022 to monitor agricultural livelihoods and food security in Lebanon. The survey targeted the agricultural population. It took place across 7 governorates –Akkar, Baalbeck El Hermel, Bekaa, El Nabatieh, North Lebanon, Mount Lebanon and South Lebanon– with 150 households selected in each governorate using probability proportional to size. A total of 1 050 interviews were completed, in which 98 percent of respondents identified as agricultural households. For more information: https://data-in-emergencies.fao.org/pages/monitoring.
Sample survey data [ssd]
Households
Scope
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 |
|---|---|
| Food and Agriculture Organization of the United Nations | United Nations |
| Data in Emergencies Hub | 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 rural population in Lebanon using remote panel data collection. Respondents were drawn from the Agricultural Production Survey (APS), which sampled individuals listed in the 2010 Agricultural Census. This approach was also supported by the Lebanese Ministry of Agriculture, which has been conducting a similar household tracking survey for the past 10 years.
The survey used a one-stage sample design, drawing a Simple Random Sample with Probability Proportional to Size (PPS) from the agricultural population census. The sample was stratified by activity type and farm size using a genetic stratification algorithm (Ballin & Barcaroli1) to optimize homogeneity within strata and maximize sample efficiency.
The APS sample size is larger than required for the monitoring survey, as APS stratifies at a more detailed level. Additionally, due to APS's stratification method, large specialized farms were overrepresented, requiring weighting adjustments to properly represent smaller farms and non-agricultural households. After review by the OER Needs Assessment team and ESS, it was confirmed that the APS sample could serve as a valid sampling frame, with households selected proportional to their assigned weights.
The third round (July 2022) followed the same respondents as the first two rounds, creating an additional panel dimension. No quotas were set.
To correct for regional disproportionate sampling, base weights were computed at the adm1 (regional) level, aligning results with the actual population distribution in each region. Farm size was used as a wealth weight to correct for the overrepresentation of large specialized farms in the sample, ensuring that smaller farms and non-agricultural households—initially underrepresented—are properly reflected in the final analysis.
Survey instrument
A link to the questionnaire has been provided in the documentations tab.
Data collection
| Start | End |
|---|---|
| 2022-07-17 | 2022-08-08 |
- Computer Assisted Telephone Interview [cati]
Data processing
The datasets have been edited and processed for analysis by the 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 Hub team and reviewed by the Statistics Division at FAO. All direct identifiers have been removed prior to data submission.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| DIEM Team | Food and Agriculture Organization of the United Nations | https://data-in-emergencies.fao.org/ | Data-in-Emergencies@fao.org |
| Confidentiality declaration text |
|---|
| 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 - Lebanon, Round 3, 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 | Data-in-Emergencies@fao.org | https://data-in-emergencies.fao.org/ |
Metadata production
DDI_LBN_2022_DIEM-HS-R3_v01_M_v01_A_ESS
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| 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 |
| Development Data Group | DECDG | The World Bank | Metadata adapted for World Bank Microdata Library |
Metadata version
Identical to a metadata (LBN_2022_DIEM-HS-R3_v01_M_A_v01_ESS) published on FAO microdata repository (https://microdata.fao.org/index.php/catalog). Some of the metadata fields have been edited.