Data in Emergencies Monitoring System - Household Survey 2023
Round 7
Bangladesh, 2023
Get MicrodataIdentification
BGD_2023_DIEM-HS-R7_v01_M_v01_A_ESS
Data in Emergencies Monitoring System - Household Survey 2023
Round 7
DIEM-HS-R7 2023
| Name | Country code |
|---|---|
| Bangladesh | BGD |
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 household survey between 17 February and 21 March 2023 in Bangladesh through computer-assisted telephone interviews.
This seventh-round survey reached 3075 households. The survey targeted 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.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, coping strategies
- Needs assistance: open questions on the needs for assistance
Coverage
National coverage
Producers and sponsors
| Name | Affiliation |
|---|---|
| Data in Emergencies Hub | Food and Agriculture Organization of the United Nations |
| Name | Affiliation | Role |
|---|---|---|
| Data in Emergencies Hub | FAO | Data processing and analysis |
| Name | Abbreviation |
|---|---|
| United States Agency for International Development | USAID |
| European Union | EU |
| FAO’s Special Fund for Emergency and Rehabilitation | SFERA |
Sampling
The survey covered all eight divisions of Bangladesh, with stratification at the division (admin 1) level. Each division represents a stratum (eight strata in total). The sample size of the household survey is based on rural population sizes derived from National Population and Housing Census conducted by Bangladesh Bureau of Statistics (BBS) in 2011. Additionally, six national hotspots from the Bangladesh Delta Plan 2100 were considered, introducing additional sampling quotas. The survey used probability sampling, specifically stratified simple random sampling, in selecting the respondents. It was conducted via CATI (Computer-Assisted Telephone Interviewing) using RDD (Random Digit Dialing) to randomly select rural households within each stratum.
The data was weighted using both design (sampling) weights and post-stratification weights. The weighting process involved correcting for biases from the disproportionate stratification, imposition of quotas on agricultural HHs, and non-response. Different weight types were calculated to address each of these biases. Design weights accounted for population size to adjust the sample to the actual population distribution. Population size design weights were calculated by dividing the ratio of stratum population and total population (of the country) by the ratio of stratum sample and total sample (for the country). Additionally, agricultural quota weights were applied to reflect the true proportion of agricultural and non-agricultural households in the population. The agricultural quota weights were calculated by dividing the proportion of agricultural subgroup in the stratum population by the proportion of agricultural subgroup in the stratum sample. Lastly, post-stratification weights were applied using a wealth proxy (specifically, access to sanitation) to correct for potential biases arising from varying response propensities among different sub-groups within the population. The same logic as the population and quota weights was applied to calculate the post-stratification weights. The final weight was then computed as the product of all the different weights (i.e., population weights, agricultural quota weights, and post-stratification weights).
Survey instrument
The dataset was anonymized using statistical disclosure control 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 collection
| Start | End |
|---|---|
| 2023-02-17 | 2023-04-21 |
- 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.
Data Access
| 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. 2024. Data in Emergencies Monitoring Household Survey – Bangladesh, Round 7, 2023. data-in-emergencies.fao.org Licence:CC-BY-4.0.
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 | |
|---|---|---|---|
| Office of Emergencies and Resilience | FAO | Data-in-Emergencies@fao.org | https://data-in-emergencies.fao.org/ |
Metadata production
DDI_BGD_2023_DIEM-HS-R7_v01_M_v01_A_ESS_FAO
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Emergencies and Resilience | OER | FAO | Metadata producer |
| Statistics Division | ESS | FAO | Metadata adapted for FAM |
| Development Data Group | DECDG | The World Bank | Metadata adapted for World Bank Microdata Library |
Metadata version
Identical to a metadata (BGD_2023_DEMHS-R7_v01_EN_M_v01_A_ESS) published on FAO microdata repository (https://microdata.fao.org/index.php/catalog). Some of the metadata fields have been edited.