BGD_2023_DIEM-HS-R9_v01_M_v01_A_ESS
Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 9, Bangladesh, 2023
DIEM HHS BGD R9 – 2023
Name | Country code |
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Bangladesh | BGD |
Agricultural Survey [ag/oth]
This ninth-round survey was conducted between 7 November and 16 December 2023. The eighth round survey was conducted between 29 July and 23 August 2023, the seventh round between 17 February and 21 March 2023, the sixth round between 7 September and 8 October 2022, the fifth-round survey between 17 March and 2 April 2022, fourth-round survey was conducted between 16 October and 24 November 2021.
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 this ninth-round computer-assisted telephone interviews between 7 November and 16 December 2023 in Bangladesh. This survey reached 6 499 households and was representative at district level, covering 64 districts across all eight divisions of the country: Barisal, Chattogram, Dhaka, Khulna, Mymensingh, Rajshahi, Rangpur and Sylhet. The survey also targeted the hotspots identified in the Bangladesh Delta Plan 2100: Barind and the Drought-Prone Areas, Chars, Chittagong Hill Tracts, Coastal Zone, Cross-Cutting Area, and Haor and the Flash Flood Areas. 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
Name |
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Food and Agriculture Organization of the United Nations, Data in Emergencies Hub, Office of Emergencies and Resilience |
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 |
Food and Agriculture Organization of the United Nations, Special Fund for Emergency and Resilience Activities | SFERA |
The sample is stratified at the district level (admin 2). There are 64 districts in the country, and each stratum aims to reach a minimum of 97 households to obtain results at the district level with a confidence level of 95 percent and a Margin of Error (MoE) of plus or minus 5 percent.
There is a separate and independent stratum for fishers. The DIEM team obtained a fleet registry from the Ministry of Fisheries and Livestock in Bangladesh. There was no baseline information available on this sample frame, so it was decided not to integrate this sample frame within the more general framework to ensure that it does not affect the representativeness of the final sample. However, there is a strong need for more information on the fisheries sector in Bangladesh. Ultimately, a separate stratum is analyzed independently for this sub-group. The list consists of 275 contacts, and vessels are randomly selected until a sample of 100 vessels is reached.
In total, the final sample size expected to be 6 308 households covering the 64 districts and including a separate sub-sample of the fleet registry. Due to time and cost constraints, the CATI survey method was used to target households pulling samples from an existing panel and Random Digit Dialing (RDD).
Weights were applied to improve the representativeness of the sample by adjusting for:
These weights help correct for both sampling imbalances and potential response bias linked to household wealth.
A link to the questionnaire has been provided in the downloads tab.
Start | End |
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2023-11-07 | 2023-12-16 |
The datasets have been edited and processed for analysis by the Food and Agriculture Organization of the United Nations, Data in Emergencies Hub (DIEM) team 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 using Statistical Disclosure methods by the Food and Agriculture Organization of the United Nations, Data in Emergencies (DIEM) Hub team and reviewed by the Statistics Division. 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 of the United Nations | 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 - Bangladesh, Round 9, 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_BGD_2023_DIEM-HS-R9_v01_M_v01_A_ESS_FAO
Name | Abbreviation | Affiliation | Role |
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DIEM Team, Office of Emergencies and Resilience | DIEM | 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 |