Monthly food price inflation estimates by country
25 countries, 2008/01/01-2022/10/01, version 2022/11/03
Afghanistan, Burkina Faso, Burundi...and 22 more, 2008 - 2022
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Reference ID
WLD_2021_RTFP-CTRY_v02_M
Producer(s)
Bo Pieter Johannes Andrée
Collection(s)
Metadata
Created on
Nov 09, 2022
Last modified
Nov 09, 2022
Page views
4302
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441
Identification
Survey ID Number
WLD_2021_RTFP-CTRY_v02_M
Title
Monthly food price inflation estimates by country
Subtitle
25 countries, 2008/01/01-2022/10/01, version 2022/11/03
Country/Economy
| Name | Country code |
|---|---|
| Afghanistan | AFG |
| Burkina Faso | BFA |
| Burundi | BDI |
| Cameroon | CMR |
| Central African Republic | CAF |
| Chad | TCD |
| Congo, Dem. Rep. | COD |
| Congo, Rep. | COG |
| Gambia, The | GMB |
| Guinea-Bissau | GNB |
| Haiti | HTI |
| Iraq | IRQ |
| Lao PDR | LAO |
| Lebanon | LBN |
| Liberia | LBR |
| Mali | MLI |
| Mozambique | MOZ |
| Myanmar | MMR |
| Niger | NER |
| Nigeria | NGA |
| Somalia | SOM |
| South Sudan | SSD |
| Sudan | SDN |
| Syrian Arab Republic | SYR |
| Yemen, Rep. | YEM |
Study type
Monthly food price estimates in fragile countries
HIGH-LOW CHART, AND INFLATION
Series Information
This dataset is part of a series of frequently-updated data files providing monthly food prices and inflation estimates for a series of fragile countries.
The following datasets are part of this series:
Country-level inflation:
- All countries: https://microdata.worldbank.org/index.php/catalog/study/WLD_2021_RTFP-CTRY_v02_M
Market-level estimates:
- All countries: https://microdata.worldbank.org/index.php/catalog/study/WLD_2021_RTFP_v02_M
- Afghanistan: https://microdata.worldbank.org/index.php/catalog/study/AFG_2021_RTFP_v02_M
- Burkina Faso: https://microdata.worldbank.org/index.php/catalog/study/BFA_2021_RTFP_v02_M
- Burundi: https://microdata.worldbank.org/index.php/catalog/study/BDI_2021_RTFP_v02_M
- Cameroon: https://microdata.worldbank.org/index.php/catalog/study/CMR_2021_RTFP_v02_M
- Central African Republic: https://microdata.worldbank.org/index.php/catalog/study/CAF_2021_RTFP_v02_M
- Chad: https://microdata.worldbank.org/index.php/catalog/study/TCD_2021_RTFP_v02_M
- Congo, Dem. Rep.: https://microdata.worldbank.org/index.php/catalog/study/COD_2021_RTFP_v02_M
- Congo, Rep.: https://microdata.worldbank.org/index.php/catalog/study/COG_2021_RTFP_v02_M
- Gambia, The: https://microdata.worldbank.org/index.php/catalog/study/GMB_2021_RTFP_v02_M
- Guinea-Bissau: https://microdata.worldbank.org/index.php/catalog/study/GNB_2021_RTFP_v02_M
- Haiti: https://microdata.worldbank.org/index.php/catalog/study/HTI_2021_RTFP_v02_M
- Iraq: https://microdata.worldbank.org/index.php/catalog/study/IRQ_2021_RTFP_v02_M
- Lao PDR: https://microdata.worldbank.org/index.php/catalog/study/LAO_2021_RTFP_v02_M
- Lebanon: https://microdata.worldbank.org/index.php/catalog/study/LBN_2021_RTFP_v02_M
- Liberia: https://microdata.worldbank.org/index.php/catalog/study/LBR_2021_RTFP_v02_M
- Mali: https://microdata.worldbank.org/index.php/catalog/study/MLI_2021_RTFP_v02_M
- Mozambique: https://microdata.worldbank.org/index.php/catalog/study/MOZ_2021_RTFP_v02_M
- Myanmar: https://microdata.worldbank.org/index.php/catalog/study/MMR_2021_RTFP_v02_M
- Niger: https://microdata.worldbank.org/index.php/catalog/study/NER_2021_RTFP_v02_M
- Nigeria: https://microdata.worldbank.org/index.php/catalog/study/NGA_2021_RTFP_v02_M
- Somalia: https://microdata.worldbank.org/index.php/catalog/study/SOM_2021_RTFP_v02_M
- South Sudan: https://microdata.worldbank.org/index.php/catalog/study/SSD_2021_RTFP_v02_M
- Sudan: https://microdata.worldbank.org/index.php/catalog/study/SDN_2021_RTFP_v02_M
- Syrian Arab Republic: https://microdata.worldbank.org/index.php/catalog/study/SYR_2021_RTFP_v02_M
- Yemen, Rep.: https://microdata.worldbank.org/index.php/catalog/study/YEM_2021_RTFP_v02_M
The following datasets are part of this series:
Country-level inflation:
- All countries: https://microdata.worldbank.org/index.php/catalog/study/WLD_2021_RTFP-CTRY_v02_M
Market-level estimates:
- All countries: https://microdata.worldbank.org/index.php/catalog/study/WLD_2021_RTFP_v02_M
- Afghanistan: https://microdata.worldbank.org/index.php/catalog/study/AFG_2021_RTFP_v02_M
- Burkina Faso: https://microdata.worldbank.org/index.php/catalog/study/BFA_2021_RTFP_v02_M
- Burundi: https://microdata.worldbank.org/index.php/catalog/study/BDI_2021_RTFP_v02_M
- Cameroon: https://microdata.worldbank.org/index.php/catalog/study/CMR_2021_RTFP_v02_M
- Central African Republic: https://microdata.worldbank.org/index.php/catalog/study/CAF_2021_RTFP_v02_M
- Chad: https://microdata.worldbank.org/index.php/catalog/study/TCD_2021_RTFP_v02_M
- Congo, Dem. Rep.: https://microdata.worldbank.org/index.php/catalog/study/COD_2021_RTFP_v02_M
- Congo, Rep.: https://microdata.worldbank.org/index.php/catalog/study/COG_2021_RTFP_v02_M
- Gambia, The: https://microdata.worldbank.org/index.php/catalog/study/GMB_2021_RTFP_v02_M
- Guinea-Bissau: https://microdata.worldbank.org/index.php/catalog/study/GNB_2021_RTFP_v02_M
- Haiti: https://microdata.worldbank.org/index.php/catalog/study/HTI_2021_RTFP_v02_M
- Iraq: https://microdata.worldbank.org/index.php/catalog/study/IRQ_2021_RTFP_v02_M
- Lao PDR: https://microdata.worldbank.org/index.php/catalog/study/LAO_2021_RTFP_v02_M
- Lebanon: https://microdata.worldbank.org/index.php/catalog/study/LBN_2021_RTFP_v02_M
- Liberia: https://microdata.worldbank.org/index.php/catalog/study/LBR_2021_RTFP_v02_M
- Mali: https://microdata.worldbank.org/index.php/catalog/study/MLI_2021_RTFP_v02_M
- Mozambique: https://microdata.worldbank.org/index.php/catalog/study/MOZ_2021_RTFP_v02_M
- Myanmar: https://microdata.worldbank.org/index.php/catalog/study/MMR_2021_RTFP_v02_M
- Niger: https://microdata.worldbank.org/index.php/catalog/study/NER_2021_RTFP_v02_M
- Nigeria: https://microdata.worldbank.org/index.php/catalog/study/NGA_2021_RTFP_v02_M
- Somalia: https://microdata.worldbank.org/index.php/catalog/study/SOM_2021_RTFP_v02_M
- South Sudan: https://microdata.worldbank.org/index.php/catalog/study/SSD_2021_RTFP_v02_M
- Sudan: https://microdata.worldbank.org/index.php/catalog/study/SDN_2021_RTFP_v02_M
- Syrian Arab Republic: https://microdata.worldbank.org/index.php/catalog/study/SYR_2021_RTFP_v02_M
- Yemen, Rep.: https://microdata.worldbank.org/index.php/catalog/study/YEM_2021_RTFP_v02_M
Abstract
Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations.
This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.
This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.
Version
Version Date
2022/11/03 (generated on 2022-11-01)
Scope
Notes
List of food products included in estimates (not all products are included in country-level estimates): apples, bananas, beans, bread, bulgur, cabbage, carrots, cassava, cassava flour, cassava meal, cheese, chickpeas, cocoyam, cowpeas, cucumbers, dates, eggplants, gari, garlic, groundnuts, lentils, maize, maize flour, maize meal, milk, millet, oil, onions, oranges, parsley, pasta, peas, plantains, potatoes, pulses, rice, salt, salt iodised, sesame, sorghum, spinach, sugar, tea, tomatoes, tomatoes paste, watermelons, wheat, wheat flour, yam, yogurt
Keywords
| Keyword |
|---|
| inflation |
| food security |
| famine |
| fragility |
| fragile country |
| price imputation |
| food price crisis |
| food price monitor |
| fpm |
| Commodity prices |
| Food Crises |
| Maize |
| Sorghum |
| Wheat |
| Rice |
| Flour |
| Food Insecurity |
| Agricultural prices |
Coverage
Geographic Unit
Country
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Bo Pieter Johannes Andrée | World Bank, Development Data Group (DECDG), Data Analytics and Tools unit (DECAT) |
Funding Agency/Sponsor
| Name | Abbreviation | Grant number | Role |
|---|---|---|---|
| Foreign, Commonwealth & Development Office | FCDO (formerly DFID) | Support to data analytics | |
| Foreign, Commonwealth & Development Office | FCDO (formerly DFID) | KP-P174529-KMCE-TF0B4149 | Data documentation and dissemination (FCV Data Platform) |
Other Identifications/Acknowledgments
| Name | Role | Affiliation |
|---|---|---|
| World Food Programme (WFP) | Source of market price data | United Nations |
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2008/01 | 2022/10 |
Time periods
| Start date | End date |
|---|---|
| 2008/01 | 2022/10 |
Access policy
Restrictions
The estimates presented in this dataset are all based on publicly-available data from the World Food Programme.
The dataset of price estimates is published as open data.
The dataset of price estimates is published as open data.
Citation requirements
Please cite this dataset as follows: Andrée, B. P. J. (2021). Monthly food price inflation estimates by country (Version 2022-11-01). WLD_2021_RTFP-CTRY_v02_M. Washington, DC: World Bank Microdata Library.
Access authority
| Name | Affiliation | URL |
|---|---|---|
| Data Help Desk | World Bank, Development Data Group | Link |
Location of Data Collection
World Bank Microdata Library, FCV