India Agricultural Production: Major Crops: Achievements: Pulses data was reported at 27.504 Ton mn in 2023. This records an increase from the previous number of 27.302 Ton mn for 2022. India Agricultural Production: Major Crops: Achievements: Pulses data is updated yearly, averaging 12.840 Ton mn from Mar 1956 (Median) to 2023, with 68 observations. The data reached an all-time high of 27.504 Ton mn in 2023 and a record low of 8.350 Ton mn in 1967. India Agricultural Production: Major Crops: Achievements: Pulses data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIB002: Agricultural Production: Targets & Achievement of Major Crops.

This Dataset consists of Fiscal Year and Crop-wise Area, Production and Yield statistics for All India.

The dataset contains year-wise historically compiled all india data on the extent of agriculture lands under different sources of irrigation such as government and private canals, tanks, tube wells and other sources. Additionally, the dataset also contains data on the agricultural lands which have been irrigated more than once and the percentage of irrigated agricultural lands to total agricultural lands

In this study we use long-term satellite, climate, and crop observations to document the spatial distribution of the recent stagnation in food grain production affecting the water-limited tropics (WLT), a region where 1.5 billion people live and depend on local agriculture that is constrained by chronic water shortages. Overall, our analysis shows that the recent stagnation in food production is corroborated by satellite data. The growth rate in annually integrated vegetation greenness, a measure of crop growth, has declined significantly (p < 0.10) in 23% of the WLT cropland area during the last decade, while statistically significant increases in the growth rates account for less than 2%. In most countries, the decade-long declines appear to be primarily due to unsustainable crop management practices rather than climate alone. One quarter of the statistically significant declines are observed in India, which with the world’s largest population of food-insecure people and largest WLT croplands, is a leading example of the observed declines. Here we show geographically matching patterns of enhanced crop production and irrigation expansion with groundwater that have leveled off in the past decade. We estimate that, in the absence of irrigation, the enhancement in dry-season food grain production in India, during 1982–2002, would have required an increase in annual rainfall of at least 30% over almost half of the cropland area. This suggests that the past expansion of use of irrigation has not been sustainable. We expect that improved surface and groundwater management practices will be required to reverse the recent food grain production declines. MDPI and ACS Style Milesi, C.; Samanta, A.; Hashimoto, H.; Kumar, K.K.; Ganguly, S.; Thenkabail, P.S.; Srivastava, A.N.; Nemani, R.R.; Myneni, R.B. Decadal Variations in NDVI and Food Production in India. Remote Sens. 2010, 2, 758-776. AMA Style Milesi C., Samanta A., Hashimoto H., Kumar K.K., Ganguly S., Thenkabail P.S., Srivastava A.N., Nemani R.R., Myneni R.B. Decadal Variations in NDVI and Food Production in India. Remote Sensing. 2010; 2(3):758-776. Chicago/Turabian Style Milesi, Cristina; Samanta, Arindam; Hashimoto, Hirofumi; Kumar, K. Krishna; Ganguly, Sangram; Thenkabail, Prasad S.; Srivastava, Ashok N.; Nemani, Ramakrishna R.; Myneni, Ranga B. 2010. "Decadal Variations in NDVI and Food Production in India." Remote Sens. 2, no. 3: 758-776.

The Dataset contains yearwise and crop wise statistics of area cultivated, production, yield and the percentage of area under irrigation. These figures are All-India figures. The crops are broadly categorised into Food grains, Oil seeds and commercial crops. - The crops in this dataset include : Rice, Wheat, Jowar, Bajra, Maize, pulses including (gram, Tur, Masur), Oil seeds including groundnut, rapeseed, Mustard along with other crops like - Soyabean, cotton, jute, sugarcane, sunflower, potato, onion, tomato, coconut etc. - For most of the crops the information is available from 1950-51. Exceptions include : Masur(1970-71), Soyabean(1970-71), Sunflower (1970-71), Guarseed (1997-98) , Sunhemp (1997-98), Onion (1978-79), Tomato (2005-06), Coconut (1991-92). - The latest data is as per the fourth estimates of 2021-22 ( exception is for Coconut and Tomato, whose latest data is 3rd estimates)

GDP from Agriculture in India decreased to 6773.89 INR Billion in the first quarter of 2025 from 7757.32 INR Billion in the fourth quarter of 2024. This dataset provides - India Gdp From Agriculture- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Agricultural Procurement: Wheat: Gujarat data was reported at 10.000 Ton th in 2024. This records an increase from the previous number of 0.000 Ton th for 2023. Agricultural Procurement: Wheat: Gujarat data is updated yearly, averaging 10.000 Ton th from Mar 1999 (Median) to 2024, with 17 observations. The data reached an all-time high of 415.000 Ton th in 2009 and a record low of 0.000 Ton th in 2023. Agricultural Procurement: Wheat: Gujarat data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RII012: Agricultural Procurement: Wheat: by Major States.

As per world agriculture statistics India is the world's largest producer of many fresh fruits like banana, mango, guava, papaya, lemon and vegetables like chickpea, okra and milk, major spices like chili pepper, ginger, fibrous crops such as jute, staples such as millets and castor oil seed. India is the second largest producer of wheat and rice, the world's major food staples.

India is currently the world's second largest producer of several dry fruits, agriculture-based textile raw materials, roots and tuber crops, pulses, farmed fish, eggs, coconut, sugarcane and numerous vegetables. India is ranked under the world's five largest producers of over 80% of agricultural produce items, including many cash crops such as coffee and cotton, in 2010. India is one of the world's five largest producers of livestock and poultry meat, with one of the fastest growth rates, as of 2011.

One report from 2008 claimed that India's population is growing faster than its ability to produce rice and wheat.[20] While other recent studies claim that India can easily feed its growing population, plus produce wheat and rice for global exports, if it can reduce food staple spoilage/wastage, improve its infrastructure and raise its farm productivity like those achieved by other developing countries such as Brazil and China.

Data collected from Ministry of Agriculture and Farmers Welfare of India

Context

Historical data of Indian agricultural production on various location acquired from the Indian government web page. https://data.gov.in

Agricultural Procurement: Wheat: All India data was reported at 26,202.000 Ton th in 2024. This records an increase from the previous number of 18,792.000 Ton th for 2023. Agricultural Procurement: Wheat: All India data is updated yearly, averaging 22,601.500 Ton th from Mar 1997 (Median) to 2024, with 28 observations. The data reached an all-time high of 43,344.000 Ton th in 2022 and a record low of 8,162.000 Ton th in 1997. Agricultural Procurement: Wheat: All India data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RII012: Agricultural Procurement: Wheat: by Major States.

description: The following is excerpted from the metadata provided by NASS (USDA) for the source data set CDL_2011_CLIP_20131230093625_434373848.tif: "The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2011 CDL has a ground resolution of 30 meters. The CDL is produced using satellite imagery from the Landsat 5 TM sensor, Landsat 7 ETM+ sensor, and the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) collected during the current growing season. "Some CDL states used additional satellite imagery and ancillary inputs to supplement and improve the classification. These additional sources can include the United States Geological Survey (USGS) National Elevation Dataset (NED), the USGS National Land Cover Database 2006 (NLCD 2006), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter 16 day Normalized Difference Vegetation Index (NDVI) composites. "Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The NLCD 2006 is used as non-agricultural training and validation data. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery, ancillary data, and training/validation data used to generate this state's CDL. The strength and emphasis of the CDL is agricultural land cover. Please note that no farmer reported data are derivable from the Cropland Data Layer."; abstract: The following is excerpted from the metadata provided by NASS (USDA) for the source data set CDL_2011_CLIP_20131230093625_434373848.tif: "The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2011 CDL has a ground resolution of 30 meters. The CDL is produced using satellite imagery from the Landsat 5 TM sensor, Landsat 7 ETM+ sensor, and the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) collected during the current growing season. "Some CDL states used additional satellite imagery and ancillary inputs to supplement and improve the classification. These additional sources can include the United States Geological Survey (USGS) National Elevation Dataset (NED), the USGS National Land Cover Database 2006 (NLCD 2006), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter 16 day Normalized Difference Vegetation Index (NDVI) composites. "Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The NLCD 2006 is used as non-agricultural training and validation data. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery, ancillary data, and training/validation data used to generate this state's CDL. The strength and emphasis of the CDL is agricultural land cover. Please note that no farmer reported data are derivable from the Cropland Data Layer."

Agricultural Land: Haryana: Type of Use: Reporting Area for Land Utilisation Statistics data was reported at 4,371.000 ha th in 2022. This stayed constant from the previous number of 4,371.000 ha th for 2021. Agricultural Land: Haryana: Type of Use: Reporting Area for Land Utilisation Statistics data is updated yearly, averaging 4,371.000 ha th from Mar 2003 (Median) to 2022, with 20 observations. The data reached an all-time high of 4,375.000 ha th in 2003 and a record low of 4,370.000 ha th in 2011. Agricultural Land: Haryana: Type of Use: Reporting Area for Land Utilisation Statistics data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIJ014: Agricultural Land: Type of Use: Haryana.

India Annual Freshwater Withdrawals: Agriculture: % of Total Freshwater Withdrawal data was reported at 90.407 % in 2020. This stayed constant from the previous number of 90.407 % for 2019. India Annual Freshwater Withdrawals: Agriculture: % of Total Freshwater Withdrawal data is updated yearly, averaging 91.593 % from Dec 1975 (Median) to 2020, with 46 observations. The data reached an all-time high of 94.625 % in 1985 and a record low of 90.407 % in 2020. India Annual Freshwater Withdrawals: Agriculture: % of Total Freshwater Withdrawal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Environmental: Water and Wastewater Management. Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture are total withdrawals for irrigation and livestock production. Data are for the most recent year available for 1987-2002.;Food and Agriculture Organization, AQUASTAT data.;Weighted average;

Agricultural Land: Gujarat: Type of Use: Reporting Area for Land Utilisation Statistics data was reported at 18,810.000 ha th in 2022. This stayed constant from the previous number of 18,810.000 ha th for 2021. Agricultural Land: Gujarat: Type of Use: Reporting Area for Land Utilisation Statistics data is updated yearly, averaging 18,868.100 ha th from Mar 2003 (Median) to 2022, with 20 observations. The data reached an all-time high of 19,069.000 ha th in 2017 and a record low of 18,638.000 ha th in 2003. Agricultural Land: Gujarat: Type of Use: Reporting Area for Land Utilisation Statistics data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIJ013: Agricultural Land: Type of Use: Gujarat.

Cost of food in India decreased 1.06 percent in June of 2025 over the same month in the previous year. This dataset provides - India Food Inflation - actual values, historical data, forecast, chart, statistics, economic calendar and news.

IntroductionThe combined populations of China and India were 2.78 billion in 2020, representing 36% of the world population (7.75 billion). Wheat is the second most important staple grain in both China and India. In 2019, the aggregate wheat consumption in China was 96.4 million ton and in India it was 82.5 million ton, together it was more than 35% of the world's wheat that year. In China, in 2050, the projected population will be 1294–1515 million, and in India, it is projected to be 14.89–1793 million, under the low and high-fertility rate assumptions. A question arises as to, what will be aggregate demand for wheat in China and India in 2030 and 2050?MethodsApplying the Vector Error Correction model estimation process in the time series econometric estimation setting, this study projected the per capita and annual aggregate wheat consumptions of China and India during 2019-2050. In the process, this study relies on agricultural data sourced from the Food and Agriculture Organization of the United States (FAO) database (FAOSTAT), as well as the World Bank's World Development Indicators (WDI) data catalog. The presence of unit root in the data series are tested by applying the augmented Dickey-Fuller test; Philips-Perron unit root test; Kwiatkowski-Phillips-Schmidt-Shin test, and Zivot-Andrews Unit Root test allowing for a single break in intercept and/or trend. The test statistics suggest that a natural log transformation and with the first difference of the variables provides stationarity of the data series for both China and India. The Zivot-Andrews Unit Root test, however, suggested that there is a structural break in urban population share and GDP per capita. To tackle the issue, we have included a year dummy and two multiplicative dummies in our model. Furthermore, the Johansen cointegration test suggests that at least one variable in both data series were cointegrated. These tests enable us to apply Vector Error Correction (VEC) model estimation procedure. In estimation the model, the appropriate number of lags of the variables is confirmed by applying the “varsoc” command in Stata 17 software interface. The estimated yearly per capita wheat consumption in 2030 and 2050 from the VEC model, are multiplied by the projected population in 2030 and 2050 to calculate the projected aggregate wheat demand in China and India in 2030 and 2050. After projecting the yearly per capita wheat consumption (KG), we multiply with the projected population to get the expected consumption demand.ResultsThis study found that the yearly per capita wheat consumption of China will increase from 65.8 kg in 2019 to 76 kg in 2030, and 95 kg in 2050. In India, the yearly per capita wheat consumption will increase to 74 kg in 2030 and 94 kg in 2050 from 60.4 kg in 2019. Considering the projected population growth rates under low-fertility assumptions, aggregate wheat consumption of China will increase by more than 13% in 2030 and by 28% in 2050. Under the high-fertility rate assumption, however the aggregate wheat consumption of China will increase by 18% in 2030 and nearly 50% in 2050. In the case of India, under both low and high-fertility rate assumptions, aggregate wheat demand in India will increase by 32-38% in 2030 and by 70-104% in 2050 compared to 2019 level of consumption.DiscussionsOur results underline the importance of wheat in both countries, which are the world's top wheat producers and consumers, and suggest the importance of research and development investments to maintain sufficient national wheat grain production levels to meet China and India's domestic demand. This is critical both to ensure the food security of this large segment of the world populace, which also includes 23% of the total population of the world who live on less than US $1.90/day, as well as to avoid potential grain market destabilization and price hikes that arise in the event of large import demands.

Agricultural Yield: Jute & Mesta: Assam data was reported at 2,094.000 kg/ha in 2023. This records a decrease from the previous number of 2,127.000 kg/ha for 2022. Agricultural Yield: Jute & Mesta: Assam data is updated yearly, averaging 1,856.000 kg/ha from Mar 2001 (Median) to 2023, with 23 observations. The data reached an all-time high of 2,166.000 kg/ha in 2021 and a record low of 1,243.000 kg/ha in 2005. Agricultural Yield: Jute & Mesta: Assam data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIC024: Yield of Non Foodgrains in Major States: Jute & Mesta.

Agricultural Land: Karnataka: Type of Use: Total Cropped Area data was reported at 14,748.000 ha th in 2022. This records a decrease from the previous number of 14,910.000 ha th for 2021. Agricultural Land: Karnataka: Type of Use: Total Cropped Area data is updated yearly, averaging 12,403.155 ha th from Mar 2003 (Median) to 2022, with 20 observations. The data reached an all-time high of 14,910.000 ha th in 2021 and a record low of 11,450.313 ha th in 2004. Agricultural Land: Karnataka: Type of Use: Total Cropped Area data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIJ018: Agricultural Land: Type of Use: Karnataka.

Agricultural Land: Maharashtra: Type of Use: Total Cropped Area data was reported at 25,730.000 ha th in 2022. This records an increase from the previous number of 24,917.000 ha th for 2021. Agricultural Land: Maharashtra: Type of Use: Total Cropped Area data is updated yearly, averaging 22,633.500 ha th from Mar 2003 (Median) to 2022, with 20 observations. The data reached an all-time high of 25,730.000 ha th in 2022 and a record low of 21,943.000 ha th in 2013. Agricultural Land: Maharashtra: Type of Use: Total Cropped Area data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIJ022: Agricultural Land: Type of Use: Maharashtra.

Agricultural Production: Wheat: Uttar Pradesh data was reported at 33,610.000 Ton th in 2023. This records a decrease from the previous number of 33,950.000 Ton th for 2022. Agricultural Production: Wheat: Uttar Pradesh data is updated yearly, averaging 24,049.600 Ton th from Mar 1981 (Median) to 2023, with 43 observations. The data reached an all-time high of 35,510.000 Ton th in 2021 and a record low of 12,749.000 Ton th in 1982. Agricultural Production: Wheat: Uttar Pradesh data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under Global Database’s India – Table IN.RIB009: Production of Foodgrains in Major States: Wheat.