Monthly food price estimates by product and market
25 countries, 1318 markets, 2007/01/01-2023/04/01, version 2023/04/27
Afghanistan, Burkina Faso, Burundi...and 22 more, 2007 - 2023
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Reference ID
WLD_2021_RTFP_v02_M
Producer(s)
Bo Pieter Johannes Andrée
Collection(s)
Metadata
Created on
Apr 27, 2023
Last modified
Apr 27, 2023
Page views
7932
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737
Identification
Survey ID Number
WLD_2021_RTFP_v02_M
Title
Monthly food price estimates by product and market
Subtitle
25 countries, 1318 markets, 2007/01/01-2023/04/01, version 2023/04/27
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
DATA PREVIEW
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.
A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.
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.
A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.
Version
Version Date
2023/04/27 (generated on 2023-04-26)
Scope
Notes
List of food products included in estimates (not all products are included in country-level estimates): sh catfish, sh mackerel, sh salted, sh sardine canned, sh smoked, sh tilapia farmed, sh tuna canned, at goat with bones, apples, bananas, beans, bread, bulgur, cabbage, carrots, cassava, cassava flour, cassava meal, cheese, chickpeas, cocoyam, coffee instant, cowpeas, cucumbers, dates, eggs, fish, fish catfish, fish catfish, fish catfish, fish catfish, flation fish catfish, ust fish catfish, fish mackerel, fish mackerel, fish mackerel, fish mackerel, flation fish mackerel, ust fish mackerel, fish salted, fish salted, fish salted, fish salted, flation fish salted, ust fish salted, fish sardine canned, fish sardine canned, fish sardine canned, fish sardine canned, flation fish sardine canned, ust fish sardine canned, fish smoked, fish smoked, fish smoked, fish smoked, flation fish smoked, ust fish smoked, fish tilapia farmed, fish tilapia farmed, fish tilapia farmed, fish tilapia farmed, flation fish tilapia farmed, ust fish tilapia farmed, fish tuna canned, fish tuna canned, fish tuna canned, fish tuna canned, flation fish tuna canned, ust fish tuna canned, gari, garlic, groundnuts, lentils, lettuce, livestock sheep two year old male, maize, maize flour, maize meal, meat beef, meat beef canned, meat beef first quality, meat beef minced, meat beef second quality, meat buffalo first quality, meat buffalo second quality, meat chicken, meat chicken whole frozen, meat goat, meat goat with bones, meat goat with bones, meat goat with bones, meat goat with bones, flation meat goat with bones, ust meat goat with bones, meat pork first quality, meat pork second quality, milk, millet, oil, onions, oranges, parsley, pasta, peas, plantains, potatoes, pulses, rice, salt, sesame, sorghum, sorghum food aid, sugar, tea, tomatoes, tomatoes paste, wheat, wheat flour, 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 Coverage notes
The data cover the following sub-national areas: Badakhshan, Badghis, Baghlan, Balkh, Bamyan, Daykundi, Farah, Faryab, Paktya, Ghazni, Ghor, Hilmand, Hirat, Nangarhar, Jawzjan, Kabul, Kandahar, Kapisa, Khost, Kunar, Kunduz, Laghman, Logar, Wardak, Nimroz, Nuristan, Paktika, Panjsher, Parwan, Samangan, Sar-e-pul, Takhar, Uruzgan, Zabul, Market Average, SAHEL, CASCADES, SUD-OUEST, EST, BOUCLE DU MOUHOUN, CENTRE-NORD, PLATEAU-CENTRAL, HAUTS-BASSINS, CENTRE, NORD, CENTRE-SUD, CENTRE-OUEST, CENTRE-EST, Kayanza, Ruyigi, Bubanza, Karuzi, Bujumbura Mairie, Muramvya, Gitega, Rumonge, Bururi, Kirundo, Cankuzo, Cibitoke, Muyinga, Rutana, Bujumbura Rural, Makamba, Ngozi, Mwaro, Nord, Extrême-Nord, Ouest, Nord-Ouest, Adamaoua, Sud-Ouest, Est, Littoral, Centre, Ouaka, Mbomou, Bangui, Nana-Mambéré, Ouham, Sangha-Mbaéré, Ombella M'Poko, Mambéré-Kadéï, Vakaga, Ouham Pendé, Lobaye, Haute-Kotto, Kémo, Nana-Gribizi, Bamingui-Bangoran, Haut-Mbomou, Ouaddai, Salamat, Wadi Fira, Sila, Ennedi Est, Batha, Tibesti, Logone Oriental, Logone Occidental, Guera, Hadjer Lamis, Lac, Mayo Kebbi Est, Chari Baguirmi, Ennedi Ouest, Borkou, Tandjile, Mandoul, Moyen Chari, Mayo Kebbi Ouest, Kanem, Barh El Gazal, Ndjaména, Abia, Nord-Kivu, Ituri, Kwilu, Kasai, Sud-Kivu, Haut-Uele, Kongo-Central, Sud-Ubangi, Kasai-Central, Tanganyika, Lualaba, Nord-Ubangi, Kwango, Haut-Lomami, Administrative unit not available, Maniema, Kinshasa, Tshopo, Haut-Katanga, Equateur, Kasai-Oriental, Lomami, Bas-Uele, Likouala, Brazzaville, Point-Noire, Pool, Bouenza, Cuvette, Lekoumou, Kanifing Municipal Council, Central River, Upper River, West Coast, North Bank, Lower River, Bafata, Tombali, Cacheu, Sector Autonomo De Bissau, Biombo, Oio, Gabu, Bolama, Quinara, North, South, Artibonite, South-East, Grande'Anse, North-East, West, North-West, Anbar, Babil, Baghdad, Basrah, Diyala, Dahuk, Erbil, Ninewa, Kerbala, Kirkuk, Missan, Muthanna, Najaf, Qadissiya, Salah al-Din, Sulaymaniyah, Thi-Qar, Wassit, Attapeu, Bokeo, Bolikhamxai, Champasack, Houaphan, Khammouan, Louangphabang, Louangnamtha, Oudomxai, Phongsaly, Salavan, Savannakhet, Sekong, Vientiane Capital, Vientiane, Xaignabouly, Xiengkhouang, Akkar, Mount Lebanon, Baalbek-El Hermel, Beirut, El Nabatieh, Bekaa, Nimba, Grand Kru, Grand Cape Mount, Gbarpolu, Grand Bassa, Rivercess, Montserrado, River Gee, Lofa, Bong, Sinoe, Maryland, Margibi, Grand Gedeh, Bomi, Kidal, Gao, Tombouctou, Bamako, Kayes, Koulikoro, Mopti, Segou, Sikasso, Zambezia, Cabo Delgado, Tete, Manica, Sofala, Maputo, Gaza, Niassa, Inhambane, Maputo City, Nampula, Yangon, Rakhine, Shan (North), Kayin, Kachin, Mon, Mandalay, Shan (South), Shan (East), Chin, Magway, Sagaing, Kayah, Tanintharyi, Tillaberi, Tahoua, Agadez, Zinder, Dosso, Niamey, Maradi, Diffa, Borno, Yobe, Katsina, Kano, Kaduna, Gombe, Jigawa, Kebbi, Oyo, Zamfara, Lagos, Adamawa, Shabelle Hoose, Juba Hoose, Bay, Shabelle Dhexe, Hiraan, Woqooyi Galbeed, Awdal, Bari, Juba Dhexe, Togdheer, Sanaag, Galgaduud, Gedo, Nugaal, Mudug, Banadir, Sool, Bakool, Warrap, Jonglei, Unity, Northern Bahr el Ghazal, Upper Nile, Western Bahr el Ghazal, Eastern Equatoria, Central Equatoria, Western Equatoria, Lakes, North Darfur, Blue Nile, Northern, Eastern Darfur, West Kordofan, West Darfur, North Kordofan, South Kordofan, Kassala, Khartoum, White Nile, South Darfur, Red Sea, Central Darfur, Aleppo, Dar'a, Quneitra, Homs, Deir-ez-Zor, Damascus, Ar-Raqqa, Al-Hasakeh, Hama, As-Sweida, Rural Damascus, Tartous, Idleb, Lattakia, Al Dhale'e, Aden, Al Bayda, Al Maharah, Lahj, Al Jawf, Al Hudaydah, Raymah, Amran, Shabwah, Dhamar, Hajjah, Ibb, Sana'a, Al Mahwit, Marib, Hadramaut, Sa'ada, Amanat Al Asimah, Socotra, Taizz, Abyan
Geographic Unit
Sub-national level, Admin 2 (selected)
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 |
|---|---|
| 2007/01/01 | 2023/04/01 |
Time periods
| Start date | End date |
|---|---|
| 2007/01/01 | 2023/04/01 |
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 estimates by product and market (Version 2023-04-26). WLD_2021_RTFP_v02_M. Washington, DC: World Bank Microdata Library. https://doi.org/10.48529/2ZH0-JF55
Access authority
| Name | Affiliation | URL |
|---|---|---|
| Data Help Desk | World Bank, Development Data Group | Link |
Location of Data Collection
World Bank Microdata Library, FCV Collection