Rice rose to 13.64 USD/cwt on June 6, 2025, up 0.15% from the previous day. Over the past month, Rice's price has risen 7.24%, but it is still 24.77% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Rice - values, historical data, forecasts and news - updated on June of 2025.

Get the latest insights on price movement and trend analysis of Rice in different regions across the world (Asia, Europe, North America, Latin America, and the Middle East & Africa).

This statistic shows the monthly price index of rice (average for all rice varieties) from July 2022 to January 2025. In April 2023, the rice price index amounted to 124.2.

This statistic shows rice price indices worldwide from 2016 to 2024. In 2024, rice was indexed at 133.1, up from 108.8 in 2022.

This Dataset contains state-wise daily wholesale and retail price of essential commodity Rice

Wheat fell to 544.29 USd/Bu on June 9, 2025, down 1.89% from the previous day. Over the past month, Wheat's price has risen 5.64%, but it is still 10.40% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on June of 2025.

Wholesale Price: Average: Rice: All India data was reported at 2,682.680 INR/Quintal in Nov 2018. This records an increase from the previous number of 2,679.470 INR/Quintal for Oct 2018. Wholesale Price: Average: Rice: All India data is updated monthly, averaging 2,415.990 INR/Quintal from Jan 2009 (Median) to Nov 2018, with 119 observations. The data reached an all-time high of 2,713.480 INR/Quintal in Jul 2018 and a record low of 1,439.460 INR/Quintal in Jul 2009. Wholesale Price: Average: Rice: All India data remains active status in CEIC and is reported by Department of Consumer Affairs. The data is categorized under India Premium Database’s Price – Table IN.PC060: Wholesale Price: Department of Consumer Affairs: Agriculture Commodities: Monthly Average: by Cities: Rice.

Get Daily/weekly data of Wholesale prices of Rice. Price is monitored for essential commodities based on data collected from 75 market centres spread across the country representing North, West, East, South and North-eastern regions of the country. Price Monitoring Cell (PMC) in the Department of Consumer Affairs is responsible for monitoring prices of selected essential commodities. The Quality and variety of the item for which prices are reported may vary from centre to centre but remains the same for a given centre. Generally, prices are reported for the Fair Average Quality of the item for a given centre. Every centre has a standard quality and variety of item for which prices are reported by them.

Price of Rice Basmati, (Super Quality) in Pakistan 2020-21

This dataset provides Cambodian food price data from the World Food Programme price database. The World Food Programme price database includes corn, rice, beans, fish, and sugar prices.

Japan Consumer Price Index (CPI): Goods: Rice data was reported at 195.300 2020=100 in Mar 2025. This records an increase from the previous number of 182.600 2020=100 for Feb 2025. Japan Consumer Price Index (CPI): Goods: Rice data is updated monthly, averaging 100.300 2020=100 from Jan 1970 (Median) to Mar 2025, with 663 observations. The data reached an all-time high of 195.300 2020=100 in Mar 2025 and a record low of 41.700 2020=100 in Jan 1970. Japan Consumer Price Index (CPI): Goods: Rice data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.I002: Consumer Price Index: 2020=100.

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.

Geographic coverage notes

The data cover the following sub-national areas: Abia, Borno, Yobe, Katsina, Kano, Kaduna, Gombe, Jigawa, Kebbi, Oyo, Zamfara, Lagos, Adamawa, Market Average

This dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

The CSV files contains more than 1.048M rows. Data includes information on country, market, price of good in local currency, quantity of good, and month recorded.

This data is compiled by the World Food Program and distributed by HDX.

Summary of Commodity Price Relationships Across Data Sources.

Uranium traded flat at 70.50 USD/Lbs on June 6, 2025. Over the past month, Uranium's price has risen 0.57%, but it is still 19.34% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Uranium - values, historical data, forecasts and news - updated on June of 2025.

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.

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, Lori, Ararat, Aragatsotn, Tavush, Gegharkunik, Shirak, Kotayk, Syunik, Armavir, Vayotz Dzor, Yerevan, Kayanza, Ruyigi, Bubanza, Karuzi, Bujumbura Mairie, Muramvya, Gitega, Rumonge, Bururi, Kirundo, Cankuzo, Cibitoke, Muyinga, Rutana, Bujumbura Rural, Makamba, Ngozi, Mwaro, SAHEL, CASCADES, SUD-OUEST, EST, BOUCLE DU MOUHOUN, CENTRE-NORD, PLATEAU-CENTRAL, HAUTS-BASSINS, CENTRE, NORD, CENTRE-SUD, CENTRE-OUEST, CENTRE-EST, Khulna, Chittagong, Barisal, Rajshahi, Dhaka, Rangpur, Sylhet, Mymensingh, 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, Nord, Extrême-Nord, Ouest, Nord-Ouest, Adamaoua, Sud-Ouest, Est, Littoral, Centre, Haut-Uele, Nord-Kivu, Ituri, Tshopo, Kwilu, Kasai, Sud-Kivu, Kongo-Central, Nord-Ubangi, Sud-Ubangi, Kasai-Central, Bas-Uele, Tanganyika, Lualaba, Kasai-Oriental, Kwango, Haut-Lomami, Haut-Katanga, Maniema, Kinshasa, Equateur, Lomami, Likouala, Brazzaville, Point-Noire, Pool, Bouenza, Cuvette, Lekoumou, Nzerekore, Boke, Kindia, Kankan, Faranah, Mamou, Labe, 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, SULAWESI UTARA, SUMATERA UTARA, KALIMANTAN UTARA, JAWA BARAT, NUSA TENGGARA BARAT, NUSA TENGGARA TIMUR, SULAWESI SELATAN, JAMBI, JAWA TIMUR, KALIMANTAN SELATAN, BALI, BANTEN, JAWA TENGAH, RIAU, SUMATERA BARAT, KEPULAUAN RIAU, PAPUA, SULAWESI BARAT, BENGKULU, MALUKU UTARA, DAERAH ISTIMEWA YOGYAKARTA, KALIMANTAN BARAT, KALIMANTAN TENGAH, PAPUA BARAT, SUMATERA SELATAN, MALUKU, KEPULAUAN BANGKA BELITUNG, ACEH, DKI JAKARTA, SULAWESI TENGGARA, KALIMANTAN TIMUR, LAMPUNG, GORONTALO, SULAWESI TENGAH, Anbar, Babil, Baghdad, Basrah, Diyala, Dahuk, Erbil, Ninewa, Kerbala, Kirkuk, Missan, Muthanna, Najaf, Qadissiya, Salah al-Din, Sulaymaniyah, Thi-Qar, Wassit, Coast, North Eastern, Nairobi, Rift Valley, , Eastern, Central, Nyanza, 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, Bekaa, El Nabatieh, Nimba, Grand Kru, Grand Cape Mount, Gbarpolu, Grand Bassa, Rivercess, Montserrado, River Gee, Lofa, Bomi, Bong, Sinoe, Maryland, Margibi, Grand Gedeh, East, North Central, Uva, Western, Sabaragamuwa, Southern, Northern, North Western, Kidal, Gao, Tombouctou, Bamako, Kayes, Koulikoro, Mopti, Segou, Sikasso, Yangon, Rakhine, Shan (North), Kayin, Kachin, Shan (South), Mon, Tanintharyi, Mandalay, Kayah, Shan (East), Chin, Magway, Sagaing, Zambezia, Cabo_Delgado, Tete, Manica, Sofala, Maputo, Gaza, Niassa, Inhambane, Maputo City, Nampula, Hodh Ech Chargi, Hodh El Gharbi, Brakna, Adrar, Assaba, Guidimakha, Gorgol, Trarza, Tagant, Dakhlet-Nouadhibou, Nouakchott, Tiris-Zemmour, Central Region, Southern Region, Northern Region, Tillaberi, Tahoua, Agadez, Zinder, Dosso, Niamey, Maradi, Diffa, Abia, Borno, Yobe, Katsina, Kano, Kaduna, Gombe, Jigawa, Kebbi, Oyo, Zamfara, Lagos, Adamawa, Cordillera Administrative region, Region XIII, Region VI, Region V, Region III, Autonomous region in Muslim Mindanao, Region IV-A, Region VIII, Region VII, Region X, Region II, Region IV-B, Region XII, Region XI, Region I, National Capital region, Region IX, North Darfur, Blue Nile, Nile, Eastern Darfur, West Kordofan, Gedaref, West Darfur, North Kordofan, South Kordofan, Kassala, Khartoum, White Nile, South Darfur, Red Sea, Sennar, Al Gezira, Central Darfur, Tambacounda, Diourbel, Ziguinchor, Kaffrine, Dakar, Saint Louis, Fatick, Kolda, Louga, Kaolack, Kedougou, Matam, Thies, Sedhiou, Shabelle Hoose, Juba Hoose, Bay, Banadir, Shabelle Dhexe, Gedo, Hiraan, Woqooyi Galbeed, Awdal, Bari, Juba Dhexe, Togdheer, Nugaal, Galgaduud, Bakool, Sanaag, Mudug, Sool, Warrap, Unity, Jonglei, Northern Bahr el Ghazal, Upper Nile, Central Equatoria, Western Bahr el Ghazal, Eastern Equatoria, Western Equatoria, Lakes, Aleppo, Dar'a, Quneitra, Homs, Deir-ez-Zor, Damascus, Ar-Raqqa, Al-Hasakeh, Hama, As-Sweida, Rural Damascus, Tartous, Idleb, Lattakia, 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, Al Dhale'e, Aden, Al Bayda, Al Maharah, Lahj, Al Jawf, Raymah, Al Hudaydah, Hajjah, Amran, Shabwah, Dhamar, Ibb, Sana'a, Al Mahwit, Marib, Hadramaut, Sa'ada, Amanat Al Asimah, Socotra, Taizz, Abyan

Average Wholesale Price: Rice: Medium Quality I: Bali data was reported at 15,400.000 IDR/kg in 11 Apr 2025. This stayed constant from the previous number of 15,400.000 IDR/kg for 10 Apr 2025. Average Wholesale Price: Rice: Medium Quality I: Bali data is updated daily, averaging 10,500.000 IDR/kg from Jul 2017 (Median) to 11 Apr 2025, with 1957 observations. The data reached an all-time high of 15,500.000 IDR/kg in 21 Feb 2024 and a record low of 9,600.000 IDR/kg in 29 Jan 2020. Average Wholesale Price: Rice: Medium Quality I: Bali data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Prices – Table ID.PC004: Average Wholesale Price: By Regions: Rice: Medium Quality I.

Results of formal equivalence tests to assess correspondence between weekly enumerators (Er) and crowdsourced data (Cr) commodity prices over an eight-month period (March - October 2021), and between monthly crowdsourced data (Cr) and AI-imputed (AI) food prices, over a 3-year period (2019-2021).

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.

Geographic coverage notes

The data cover the following sub-national areas: West, East, South, Market Average

Vietnam Export Price Index: Rice data was reported at 91.790 2010=100 in 2016. This records an increase from the previous number of 91.350 2010=100 for 2015. Vietnam Export Price Index: Rice data is updated yearly, averaging 96.870 2010=100 from Dec 2011 (Median) to 2016, with 6 observations. The data reached an all-time high of 112.320 2010=100 in 2011 and a record low of 91.350 2010=100 in 2015. Vietnam Export Price Index: Rice data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.I044: Export and Import Price Index: 2010=100 .