IRQ_2023_DIEM-HHS-R9_v01_M_v01_A_ESS
Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 9, Iraq, 2023
DIEM HHS IRQ R9 – 2023
Name | Country code |
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Iraq | IRQ |
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 a Round 9, randomised telephone interviews survey on 26 October 2022 to monitor agricultural livelihoods and food security in the 18 governorates of Iraq. Data collection resumed on 1 December 2022. A total of 2,583 households were interviewed (1,743 non-agricultural households and 840 agricultural households) using a panel list of agricultural households (interviewed in the previous data collection rounds) and the Random Digit Dialing (RDD) approach. For more information, please go to https://data-in-emergencies.fao.org/pages/monitoring
Sample survey data [ssd]
Households
The survey collected information on the following areas:
National coverage
Name | Affiliation |
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DIEM Team, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations |
Name | Affiliation | Role |
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Data in Emergencies Hub | Food and Agriculture Organization of the United Nations | Data processing and analysis |
Name | Abbreviation |
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European Union | EU |
FAO's Special Fund for Emergency and Rehabilitation | SFERA |
A total of 2,609 households were interviewed, of which 1,632 were non-agricultural households and 977 were agricultural households. The households were selected using a panel list of agricultural households which were interviewed in the previous data collection rounds, and the target was completed using the Random Digit Dialing (RDD) approach.
The sample target of 136 households per governorate was not reached only in Sulaimaniya and Maysan governorates. However, the data collected in these governorates was considered representative at governorate level because the sample size was close to the target, and the survey findings are representative at national level. Quotas could not be applied due to the small size of the agricultural population. To increase the likelihood of capturing this subgroup, a 10% precision level (margin of error) was selected, which allows for a larger sample size.
The weighting strategy combines demographic and socioeconomic adjustments to enhance the representativeness of the sample. The weights that were employed were computed as follows:
A link to the questionnaire has been provided in the documentations tab.
Start | End |
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2023-02-28 | 2023-03-21 |
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 Office of Chief Statistician at FAO. All direct identifiers have been removed prior to data submission.
Name | Affiliation | URL | |
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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 |
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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 - Iraq, Round 10, 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 | |
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DIEM Team, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | [email protected] | https://data-in-emergencies.fao.org/ |
DDI_IRQ_2023_DIEM-HHS-R9_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 to FAM |