Forecast Based Anticipatory Action Impact Evaluation 2024
Bangladesh, 2024
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Reference ID
BGD_2024_FBAAIE_v01_M
Producer(s)
Paul Christian
Metadata
Created on
Oct 21, 2025
Last modified
Oct 21, 2025
Page views
423
Downloads
14
- Data files
- final_wfp_bangladesh
- final_wfp_bangladesh_informed_consent_mod_h_flood_other_support
- round_2_final_bangladesh
- round_2_final_bangladesh_informed_consent_mod_h_flood_other_support
- round_2_final_bangladesh_informed_consent_migration_migrant_details
- round_2_final_bangladesh_informed_consent_consumption_exp_repeat_consump_nonfood1
- round_2_final_bangladesh_informed_consent_consumption_exp_repeat_consump_nonfood7
- round_3_final_bangladesh
- round_3_final_bangladesh_informed_consent_mod_assets_assets
- round_3_final_bangladesh_informed_consent_consumption_exp_repeat_consump_nonfood1
- round_3_final_bangladesh_informed_consent_consumption_exp_repeat_consump_nonfood7
- round_3_final_bangladesh_informed_consent_mod_h_flood_other_support
- round_3_final_bangladesh_informed_consent_migration_migrant_details
- round_3_final_bangladesh_informed_consent_mod_spillovers_wfp_eligible
- round_3_final_bangladesh_informed_consent_mod_spillovers_wfp_not_eligible
- round_3_final_bangladesh_informed_consent_mod_spillovers_other_people
- household_sample_masterlist_july_12_2024
- household_sample_r3
- admin_data
- gis_with_buffers
- full_list_aa_randomization_4_jul_2024_with_all_variables
K.4 How much money did you borrow (in Taka)? (loan_amount)
Data file: final_wfp_bangladesh
Overview
Valid:
1578
Minimum:
-99.0
Maximum:
2000000.0
Type:
Discrete
Width:
12
Range:
-
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| -99 | |
| 7 | |
| 10 | |
| 15 | |
| 20 | |
| 98 | |
| 99 | |
| 150 | |
| 200 | |
| 300 | |
| 400 | |
| 500 | |
| 600 | |
| 700 | |
| 800 | |
| 1000 | |
| 1200 | |
| 1500 | |
| 1700 | |
| 2000 | |
| 2200 | |
| 2300 | |
| 2500 | |
| 2600 | |
| 3000 | |
| 3200 | |
| 3500 | |
| 3800 | |
| 4000 | |
| 4500 | |
| 4800 | |
| 5000 | |
| 5300 | |
| 5500 | |
| 6000 | |
| 6500 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8500 | |
| 9000 | |
| 9500 | |
| 10000 | |
| 11000 | |
| 11500 | |
| 12000 | |
| 13000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 21500 | |
| 22000 | |
| 24000 | |
| 25000 | |
| 27000 | |
| 30000 | |
| 32000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 40000 | |
| 44000 | |
| 50000 | |
| 55000 | |
| 57000 | |
| 60000 | |
| 70000 | |
| 75000 | |
| 80000 | |
| 95000 | |
| 100000 | |
| 102000 | |
| 106000 | |
| 116000 | |
| 130000 | |
| 150000 | |
| 200000 | |
| 230000 | |
| 250000 | |
| 700000 | |
| 1000020 | |
| 2000000 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.