{"study_desc":{"title_statement":{"idno":"MRT_2021_RTFP_v02_M","title":"Monthly food price estimates by product and market","sub_title":"Mauritania, 34 markets, 2007\/01\/01-2026\/03\/01, version 2026-03-24","alternate_title":"Real Time Food Prices"},"authoring_entity":[{"name":"Bo Pieter Johannes Andr\u00e9e","affiliation":"World Bank, Development Data Group (DECDG), Office of the Chief Statistician (DECCS)"}],"production_statement":{"funding_agencies":[{"name":"Foreign, Commonwealth & Development Office of the United Kingdom","abbreviation":"FCDO (formerly DFID)","grant":"","role":"Support to data analytics"},{"name":"Foreign, Commonwealth & Development Office of the United Kingdom","abbreviation":"FCDO (formerly DFID)","grant":"KP-P174529-KMCE-TF0B4149","role":"Data documentation and dissemination (FCV Data Platform)"},{"name":"Department of Foreign Affairs and Trade of Australia","abbreviation":"DFAT","grant":"TF0B6892","role":"Support to methodological development in low data regions"},{"name":"Department of Foreign Affairs and Trade of Australia","abbreviation":"DFAT","grant":"TF0B6579","role":"Support to methodological development in low data regions"},{"name":"Federal Ministry for Economic Cooperation and Development of Germany as part of the World Bank\u2019s Food Systems 2030 Multi-Donor Trust Fund","abbreviation":"BMZ","grant":"TF073570","role":"Expansion of coverage and maintenance"},{"name":"Federal Ministry for Economic Cooperation and Development of Germany as part of the World Bank\u2019s Food Systems 2030 Multi-Donor Trust Fund","abbreviation":"BMZ","grant":"TF0C0728","role":"Expansion of coverage and maintenance"}]},"series_statement":{"series_name":"Monthly food price estimates in fragile countries","series_info":"Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank Development Economics Data Group (DECDG) using a combination of direct price measurement and Machine Learning estimation of missing price data. The historical and current estimates are based on price information gathered from the World Food Program (WFP), UN-Food and Agricultural Organization (FAO), select National Statistical Offices, and are continually updated and revised as more price information becomes available. Real-time exchange rate data used in this process are from official and public sources.\n      \nRTP consists of three sub-series, Real Time Food Prices (RTFP) includes prices on a variety of food items that primarily include country-specific staple foods, Real Time Energy Prices (RTEP) includes fuel prices, and Real Time Exchange Rates (RTFX) and includes unofficial exchange rate estimates as well as possible other unofficial deflators.\n - RTFP: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/WLD_2021_RTFP_v02_M \n - RTEP: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/WLD_2023_RTEP_v01_M \n - RTFX: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/WLD_2023_RTFX_v01_M \n \nTo produce smooth price series, outliers in the data are often adjusted using non-parametric density estimation and other techniques. Generalized Auto-Regressive Conditional Heteroskedasticity models are used to estimate intra-month price ranges. These models allow for excess kurtosis using a Generalized Error Distribution (GED). Open, High, Low, and Close price estimates are provided based on the modeled time-varying price distributions.\n      \nData are produced from 2007 to the present and estimates are given for individual commodity items at geo-referenced market locations. Predicted data for missing entries are based on exchange rates, and price data available either at other market locations or from related price items.\n      \nRTP estimates of historical and current prices may serve as proxies for sub-national price inflation series or substitute national-level Consumer Price Inflation (CPI) indicators when complete information is unavailable. Therefore, RTP data may differ from other sources with official data, including the World Bank\u2019s International Comparison Program (ICP) or inflation series reported in the World Development Indicators.\n      \nThe following datasets are part of this sub-series: \n\n Country-level inflation: \n - All countries: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/WLD_2021_RTFP-CTRY_v02_M \n\n Market-level estimates: \n - All countries: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/WLD_2021_RTFP_v02_M \n - Afghanistan: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/AFG_2021_RTFP_v02_M \n - Armenia: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/ARM_2021_RTFP_v02_M \n - Bangladesh: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/BGD_2021_RTFP_v02_M \n - Burkina Faso: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/BFA_2021_RTFP_v02_M \n - Burundi: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/BDI_2021_RTFP_v02_M \n - Cameroon: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/CMR_2021_RTFP_v02_M \n - Central African Republic: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/CAF_2021_RTFP_v02_M \n - Chad: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/TCD_2021_RTFP_v02_M \n - Congo, Dem. Rep.: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/COD_2021_RTFP_v02_M \n - Congo, Rep.: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/COG_2021_RTFP_v02_M \n - Ethiopia: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/ETH_2021_RTFP_v02_M \n - Gambia, The: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/GMB_2021_RTFP_v02_M \n - Guatemala: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/GTM_2021_RTFP_v02_M \n - Guinea: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/GIN_2021_RTFP_v02_M \n - Guinea-Bissau: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/GNB_2021_RTFP_v02_M \n - Haiti: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/HTI_2021_RTFP_v02_M \n - Indonesia: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/IDN_2021_RTFP_v02_M \n - Iraq: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/IRQ_2021_RTFP_v02_M \n - Kenya: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/KEN_2021_RTFP_v02_M \n - Lao PDR: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/LAO_2021_RTFP_v02_M \n - Lebanon: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/LBN_2021_RTFP_v02_M \n - Liberia: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/LBR_2021_RTFP_v02_M \n - Libya: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/LBY_2021_RTFP_v02_M \n - Madagascar: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/MDG_2021_RTFP_v02_M \n - Malawi: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/MWI_2021_RTFP_v02_M \n - Mali: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/MLI_2021_RTFP_v02_M \n - Mauritania: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/MRT_2021_RTFP_v02_M \n - Mozambique: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/MOZ_2021_RTFP_v02_M \n - Myanmar: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/MMR_2021_RTFP_v02_M \n - Niger: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/NER_2021_RTFP_v02_M \n - Nigeria: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/NGA_2021_RTFP_v02_M \n - Philippines: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/PHL_2021_RTFP_v02_M \n - Senegal: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/SEN_2021_RTFP_v02_M \n - Somalia: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/SOM_2021_RTFP_v02_M \n - South Sudan: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/SSD_2021_RTFP_v02_M \n - Sri Lanka: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/LKA_2021_RTFP_v02_M \n - Sudan: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/SDN_2021_RTFP_v02_M \n - Syrian Arab Republic: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/SYR_2021_RTFP_v02_M \n - Uganda: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/UGA_2021_RTFP_v02_M \n - Yemen, Rep.: https:\/\/microdata.worldbank.org\/index.php\/catalog\/study\/YEM_2021_RTFP_v02_M \n"},"oth_id":[{"name":"World Food Programme (WFP)","role":"Source of market price data","affiliation":"United Nations"},{"name":"Food and Agriculture Organization (FAO)","role":"Source of market price data","affiliation":"United Nations"}],"version_statement":{"version_date":"2026\/03\/24","version_resp":"FCV Data Platform"},"study_info":{"keywords":[{"keyword":"Food Price Monitor"},{"keyword":"FPM"},{"keyword":"Real Time Food Prices"},{"keyword":"RTFP"},{"keyword":"Inflation"},{"keyword":"Food Price Inflation"},{"keyword":"Food security"},{"keyword":"Food Insecurity"},{"keyword":"Food Crisis"},{"keyword":"Famine"},{"keyword":"Fragility"},{"keyword":"FCS"},{"keyword":"FCV"},{"keyword":"Food Price Crisis"},{"keyword":"Commodity prices"},{"keyword":"Maize"},{"keyword":"Sorghum"},{"keyword":"Wheat"},{"keyword":"Rice"},{"keyword":"Agricultural prices"},{"keyword":"Food prices"},{"keyword":"Real Time Food Prices"},{"keyword":"Price measurement"},{"keyword":"Real-time exchange rate data"},{"keyword":"Commodity items"},{"keyword":"Geo-referenced market locations"},{"keyword":"Sub-national price inflation series"},{"keyword":"Consumer Price Inflation (CPI)"},{"keyword":"National-level CPI indicators"},{"keyword":"International Comparison Program (ICP)"},{"keyword":"Inflation series"},{"keyword":"Market prices"},{"keyword":"Price analysis"},{"keyword":"Real-time data"},{"keyword":"National prices"},{"keyword":"International prices"},{"keyword":"Price fluctuations"},{"keyword":"Price trends"},{"keyword":"Price Volatility"},{"keyword":"Mauritania"}],"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. \n                    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.\n                    \n                    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.","time_periods":[{"start":"2007\/01\/01","end":"2026\/03\/01"}],"coll_dates":[{"start":"2007\/01\/01","end":"2026\/03\/01"}],"nation":[{"name":"Mauritania","abbreviation":"MRT"}],"geog_coverage_notes":"The data cover the following sub-national areas: Hodh Ech Chargi, Hodh El Gharbi, Brakna, Adrar, Assaba, Guidimakha, Gorgol, Trarza, Tagant, Dakhlet-Nouadhibou, Nouakchott, Tiris-Zemmour, Market Average","geog_unit":"Sub-national level, Admin 2 (selected)","notes":"List of food products included in estimates (not all products are included in country-level estimates): couscous fao, meat beef fao, meat camel fao, oil, rice, rice fao, sorghum, sugar, wheat, wheat flour fao"},"method":{"data_collection":{"sources":[{"name":"World Food Programme (WFP)","origin":"https:\/\/data.humdata.org\/organization\/wfp?vocab_Topics=prices","characteristics":"World Food Programme (WFP); data published in the Humanitarian Data Exchange (HDX) data catalog at https:\/\/data.humdata.org\/"},{"name":"Food and Agriculture Organization (FAO)","origin":"https:\/\/fpma.fao.org\/giews\/fpmat4\/#\/dashboard\/tool\/domestic","characteristics":"Local exchange rates and implied exchange rates data derived from commodity pairs published by FAO through the Food Price Monitoring and Analysis (FMPA) Tool"}]}},"data_access":{"dataset_availability":{"access_place":"World Bank Microdata Library, FCV Collection","access_place_url":"https:\/\/microdata.worldbank.org"},"dataset_use":{"restrictions":"The estimates presented in this dataset are all based on publicly-available data.\n          The dataset of price estimates is published as open data.","disclaimer":"The RTFP data and metadata provided are \"as is\" and \"as available,\" and every effort is made to ensure their timeliness, accuracy, and completeness. When errors are discovered, they are corrected as appropriate and feasible. For details on the terms and conditions for usage of the RTFP database, please refer to the license details.","contact":[{"name":"Data Help Desk","affiliation":"World Bank, Development Data Group","uri":"https:\/\/datahelpdesk.worldbank.org\/"}],"cit_req":"Please cite this dataset as follows: Andr\u00e9e, B. P. J. (2021). Monthly food price estimates by product and market (Version 2026-03-24). MRT_2021_RTFP_v02_M. Washington, DC: World Bank Microdata Library. https:\/\/doi.org\/10.48529\/2ZH0-JF55"}}},"tags":[{"tag":"fpm"}],"additional":{"ticker_description":"Information on the model (see working paper for more information)","ticker_info":[{"iso3":"MRT","country":"Mauritania","ticker":"couscous_fao","full_name":"Couscous","units":"Kg","food_index_weight":"1","data_coverage":"5.15%","r2_imputation":"0.99"},{"iso3":"MRT","country":"Mauritania","ticker":"exchange_rate_unofficial","full_name":"Unofficial exchange rate (Parallel-market Estimate)(FAO GIEWS completed with Int. Forex)","units":"USD\/LCU","food_index_weight":"0","data_coverage":"100%","r2_imputation":"n\/a"},{"iso3":"MRT","country":"Mauritania","ticker":"food_price_index","full_name":"Food Price Index","units":"LCU, Indexed, January 2018 = 1","food_index_weight":"Laspeyres","data_coverage":"13.71%","r2_imputation":"0.98"},{"iso3":"MRT","country":"Mauritania","ticker":"meat_beef_fao","full_name":"Meat (Beef)","units":"Kg","food_index_weight":"1","data_coverage":"4.11%","r2_imputation":"0.98"},{"iso3":"MRT","country":"Mauritania","ticker":"meat_camel_fao","full_name":"Meat (Camel)","units":"Kg","food_index_weight":"1","data_coverage":"5.27%","r2_imputation":"1"},{"iso3":"MRT","country":"Mauritania","ticker":"oil","full_name":"Oil (vegetable)","units":"L","food_index_weight":"1","data_coverage":"24.19%","r2_imputation":"0.96"},{"iso3":"MRT","country":"Mauritania","ticker":"rice","full_name":"Rice (local)","units":"KG","food_index_weight":"0.5","data_coverage":"24.21%","r2_imputation":"0.96"},{"iso3":"MRT","country":"Mauritania","ticker":"rice_fao","full_name":"Rice (imported)","units":"Kg","food_index_weight":"0.5","data_coverage":"5.21%","r2_imputation":"0.98"},{"iso3":"MRT","country":"Mauritania","ticker":"sorghum","full_name":"Sorghum (taghalit)","units":"KG","food_index_weight":"1","data_coverage":"16.97%","r2_imputation":"0.91"},{"iso3":"MRT","country":"Mauritania","ticker":"sugar","full_name":"Sugar","units":"KG","food_index_weight":"1","data_coverage":"22.78%","r2_imputation":"0.96"},{"iso3":"MRT","country":"Mauritania","ticker":"wheat","full_name":"Wheat","units":"KG","food_index_weight":"1","data_coverage":"20.05%","r2_imputation":"0.97"},{"iso3":"MRT","country":"Mauritania","ticker":"wheat_flour_fao","full_name":"Wheat (flour)","units":"Kg","food_index_weight":"1","data_coverage":"5.26%","r2_imputation":"0.99"}]},"schematype":"survey"}