Forecast Based Anticipatory Action Impact Evaluation 2024
Bangladesh, 2024
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BGD_2024_FBAAIE_v01_M
Forecast Based Anticipatory Action Impact Evaluation 2024
FBAAIE 2024
| Name | Country code |
|---|---|
| Bangladesh | BGD |
Other Household Survey [hh/oth]
World Food Program - with funding from the United Nations Central Emergency Response Fund (UN CERF) and coordination support by the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) has implement anticipatory action (cash transfers) to address severe monsoon flooding in the Jamuna river basin of Bangladesh in 2024. WFP's Office of Evaluation has conducted an impact evaluation of these transfers with technical support from World Bank's Development Impact Group (DIME). This documentation includes the data collected from 3 rounds of of phone and in-person interviews with program beneficiaries.
This study was conducted by the World Food Program's Office of Evaluation unit, with technical assistance from World Bank's DECDI unit. The study randomized the timing of electronic transfers to households living in flood affected districts of Bangladesh in July 2024. There are 3 arms, with the first arm receiving the transfers before the flood peaked and remaining 2 arms receiving transfers with a 1-month interval each. The flood peak was predicted by Bangladesh's Flood Forecasting Warning Center, and after flood forecast intensity met the criteria set out by WFP's country office, the transfers were provided to households via the bKash platform. A local survey firm, DATA was hired by WFP to conduct surveys with respondents after each tranche of payments. The survey questionnaire covers food security, psychological wellbeing and coping strategies households utilized after the floods. The first 2 rounds of data were conducted over the phone and last round was done in-person, due to movement restrictions associated with floods and curfews imposed in Bangladesh. The results are published in the World Bank working paper series. The funding for this data collection was provided by the World Food Program's Office of Evaluation and USAID.
Sample survey data [ssd]
- Household
Version
2025-10-01
The datasets include administrative data files and randomization data files that are needed to replicate the tables and figures in the working paper submission.
Scope
The study covers the following main topics:
- Food Security
- Coping Strategies
- Psychological Wellbeing
- Agriculture
- Migration
- Food expenditures
Coverage
Flood prone areas of Jamuna river basin in Bangladesh, including the following districts: Bogura, Gaibandha, Jamalpur, Kurigram and Sirajganj.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Paul Christian | World Bank |
| Name | Affiliation | Role |
|---|---|---|
| Felipe Dunsch | WFP | Principal Investigator |
| Name | Abbreviation | Role |
|---|---|---|
| Office of Evaluation | OEV | Implementer |
Sampling
The list of beneficiaries was provided by WFP's country office and contained almost 90,000 people. From this list we isolated 300 villages which have a small size of between 25-60 households and reside in most flood prone districts, as ranked by WFP's country office. From each village 15 households were randomly sampled, with replacement list of 10 households provided for each village. The first round of data collection was conducted by phone, and thus only households with active phone numbers were surveyed. We do not think this biases the sample because all beneficiary households were verified to have active phone numbers linked to their bKash accounts, through which they were to receive the transfers. In the third round, households which were in the original 15 sampled households but did not have a valid phone number were also attempted. The list of beneficiaries was validated every year since 2022, by local NGOs contracted by WFP's country office. Those NGO's listed all households living in flood prone areas, such as near river banks, in the districts residing in Jamuna basin.
The response rates were as follows: 81% for Round 1, 77% for Round 2, and 93% for Round 3. Round 1 and 2 were done by phone and these response rates are very high compared to other surveys conducted over the phone by DECDI.
Survey instrument
SurveyCTO forms from each round are included in the submission.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2024-07-15 | 2024-07-23 | Round 1 |
| 2024-07-23 | 2024-08-15 | Round 2 |
| 2024-09-18 | 2024-10-02 | Round 3 |
- Computer Assisted Personal Interview [capi]
| Name | Affiliation |
|---|---|
| DATABD | Survey firm |
DIME has conducted high frequency data quality checks in all 3 rounds.
Rounds 1 and 2 were done over the phone with SurveyCTO CAPI method to record responses. Round 3 was conducted in-person also using SurveyCTO as CAPI software.
Data Access
| Name | Affiliation | |
|---|---|---|
| Paul Christian | World Bank | pchristian@worldbank.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 | |
|---|---|---|
| Paul Christian | World Bank | pchristian@worldbank.org |
Metadata production
DDI_BGD_2024_FBAAIE_v01_M
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | World Bank Group | Documentation of the study |
2025-10-08T04:00:00.000Z
Metadata version
Version 01 (October 2025)