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.

India IN: GDP: % of GDP: Gross Value Added: Agriculture, Forestry, and Fishing data was reported at 15.998 % in 2024. This records a decrease from the previous number of 16.639 % for 2023. India IN: GDP: % of GDP: Gross Value Added: Agriculture, Forestry, and Fishing data is updated yearly, averaging 27.320 % from Mar 1961 (Median) to 2024, with 64 observations. The data reached an all-time high of 42.752 % in 1968 and a record low of 15.998 % in 2024. India IN: GDP: % of GDP: Gross Value Added: Agriculture, Forestry, and Fishing 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: Gross Domestic Product: Share of GDP. Agriculture, forestry, and fishing corresponds to ISIC divisions 1-3 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Note: For VAB countries, gross value added at factor cost is used as the denominator.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;Note: Data for OECD countries are based on ISIC, revision 4.

India: Value added in the agricultural sector as percent of GDP: The latest value from 2023 is 16 percent, a decline from 16.64 percent in 2022. In comparison, the world average is 9.91 percent, based on data from 166 countries. Historically, the average for India from 1960 to 2023 is 27.57 percent. The minimum value, 16 percent, was reached in 2023 while the maximum of 42.75 percent was recorded in 1967.

Share of Gross Domestic Product: Agriculture, Forestry and Fishing data was reported at 17.602 % in 2015. This records a decrease from the previous number of 18.612 % for 2014. Share of Gross Domestic Product: Agriculture, Forestry and Fishing data is updated yearly, averaging 33.545 % from Mar 1951 (Median) to 2015, with 65 observations. The data reached an all-time high of 51.809 % in 1951 and a record low of 17.602 % in 2015. Share of Gross Domestic Product: Agriculture, Forestry and Fishing data remains active status in CEIC and is reported by CEIC Data. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIU001: Memo Items: Contribution of Agriculture Sector to Gross Domestic Product. Data prior to 2012 is 2004-2005 base

The Gross Domestic Product (GDP) in India expanded 7.40 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - India GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Forecast: Total Agriculture Value Added Share of GDP in India 2023 - 2027 Discover more data with ReportLinker!

India Agriculture Stock: Foodgrains data was reported at 74.894 Ton mn in Mar 2025. This records a decrease from the previous number of 80.934 Ton mn for Feb 2025. India Agriculture Stock: Foodgrains data is updated monthly, averaging 50.950 Ton mn from Jan 1997 (Median) to Mar 2025, with 339 observations. The data reached an all-time high of 109.466 Ton mn in Jun 2021 and a record low of 12.380 Ton mn in Sep 2006. India Agriculture Stock: Foodgrains data remains active status in CEIC and is reported by Food Corporation of India. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RII017: Agricultural Stock: Foodgrains.

These datasets contain many economic variables related to agriculture like crop output value, profit and several others. These datasets can be used for testing several hypotheses related to agricultural economics, both at plot level and household level.

Users can also reproduce these datasets using the STATA 14 do file ‘VDSA data management for agricultural performance’. This STATA program file uses the Village Dynamics in South Asia (VDSA) raw data files in excel format. The resulting output will be two data files in stata format, one at plot level and other at household level.

These plot level and household level data sets are also included in this repository. The word file ‘guidelines’ contain instructions to extract VDSA raw data from VDSA knowledge bank and use them as inputs to run the STATA do file ‘VDSA data management for agricultural performance’

The VDSA raw data files in excel format needed to run the stata do file are also available in this repository for users convenience

The raw VDSA data were generated by the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) in partnership with Indian Council of Agricultural Research (ICAR) Institutes and the International Rice Research Institute (IRRI) and funded by the Bill & Melinda Gates Foundation (BMGF) (Grant ID: 51937). The data were acquired in surveys by resident field investigators. Data collection was mostly through paper based questionnaires and Samsung tablets were also used since 2012. The survey instruments used for different modules are available at http://vdsa.icrisat.ac.in/vdsa-questionaires.aspx

Study sites were selected using a stepwise purposive sampling covering agro-ecological diversity of the region. Three districts within each zone were selected based on soil, climate parameters as well as the share of agricultural land under ICRISAT mandate crops. On similar lines, one typical sub-district within each district and two villages within each sub-district were selected. Within each village, ten random households from four landholding groups were selected.

Selected farmers were visited by well trained, agriculture graduate, resident field investigators, once every three weeks to collect information related to various socioeconomic indicators. Some of the data modules like details on crop cultivation activities including plot wise input, output was collected every three weeks while others like general endowments were collected once at the beginning of every agricultural year.

The compiled data, source data, data descriptions and data management code are all published in a public repository at http://dataverse.icrisat.org/dataverse/socialscience at https://doi.org/10.21421/D2/HDEUKU]

Some of the several benefits of these data are:

Scientists, students, development practitioners can benefit from these data to track changes in the livelihood options of the rural poor as this data provides long-term, multi-generational perspective on agricultural, social and economic change in rural livelihoods.

The survey sites provide a socio-economic field laboratory for teaching and training students and researchers

This dataset can be used for diverse agricultural, development and socio-economic analysis and to better understand the dynamics of Indian agriculture.

The data helps to provide feedback for designing policy interventions, setting research priorities and refining technologies.

Shed light on the pathways in which new technologies, policies, and programs impact poverty, village economies, and societies

Agriculture is considered the backbone of the Indian economy. The existence of Indian agriculture is traced back to the Indus Valley culture. The importance of agriculture as a means of livelihood and trade in the pre-independence period is still alive today. Farming, once practiced in a traditional way, is now turning to modernity. If we look at this modernity from the Indian point of view, it is clear that the green revolution in the agricultural sector in the country after 1960 is a milestone. Going further, it can be seen that in 2007, the share of agriculture and allied sectors in the country's GDP was 16.6 percent. During the same period, 52% of the population in the country was engaged in agriculture. The share of agriculture in the country's 7 2.7 trillion economies in 2018-19 is about 15.9 percent and employment 49 percent. The dependence of the Indian people on agriculture and the contribution of the agricultural sector to the economic development of the country is declining day by day. The main objective of this research paper is to study the impact of the agricultural policies of this country so far and the plight of the farmers.

In 2023, 43.51 percent of the workforce in India were employed in agriculture, while the other half was almost evenly distributed among the two other sectors, industry and services. While the share of Indians working in agriculture is declining, it is still the main sector of employment. A BRIC powerhouseTogether with Brazil, Russia, and China, India makes up the four so-called BRIC countries. They are the four fastest-growing emerging countries dubbed BRIC, an acronym, by Jim O’Neill at Goldman Sachs. Being major economies themselves already, these four countries are said to be at a similar economic developmental stage -- on the verge of becoming industrialized countries -- and maybe even dominating the global economy. Together, they are already larger than the rest of the world when it comes to GDP and simple population figures. Among these four, India is ranked second across almost all key indicators, right behind China. Services on the riseWhile most of the Indian workforce is still employed in the agricultural sector, it is the services sector that generates most of the country’s GDP. In fact, when looking at GDP distribution across economic sectors, agriculture lags behind with a mere 15 percent contribution. Some of the leading services industries are telecommunications, software, textiles, and chemicals, and production only seems to increase – currently, the GDP in India is growing, as is employment.

Exports of Agricultural Products in India decreased to 327.54 INR Billion in January from 349.14 INR Billion in December of 2023. This dataset includes a chart with historical data for India Exports of Agricultural Products.

India Agriculture Stock: Foodgrains: Rice data was reported at 38.209 Ton mn in Mar 2025. This records an increase from the previous number of 36.792 Ton mn for Feb 2025. India Agriculture Stock: Foodgrains: Rice data is updated monthly, averaging 18.780 Ton mn from Jan 1997 (Median) to Mar 2025, with 339 observations. The data reached an all-time high of 38.209 Ton mn in Mar 2025 and a record low of 4.850 Ton mn in Sep 2005. India Agriculture Stock: Foodgrains: Rice data remains active status in CEIC and is reported by Food Corporation of India. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RII017: Agricultural Stock: Foodgrains.

India Agricultural Production: Coffee: Share of World Production data was reported at 3.300 % in 2018. This records an increase from the previous number of 3.270 % for 2017. India Agricultural Production: Coffee: Share of World Production data is updated yearly, averaging 3.750 % from Mar 1994 (Median) to 2018, with 25 observations. The data reached an all-time high of 4.620 % in 2002 and a record low of 3.150 % in 1995. India Agricultural Production: Coffee: Share of World Production data remains active status in CEIC and is reported by Coffee Board. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIB028: Production of Non Foodgrains in Major States: Coffee.

India Agriculture Stock: Foodgrains: Unmilled Paddy in term of Rice data was reported at 11.100 Ton mn in Oct 2018. This records an increase from the previous number of 1.110 Ton mn for Sep 2018. India Agriculture Stock: Foodgrains: Unmilled Paddy in term of Rice data is updated monthly, averaging 6.703 Ton mn from Aug 2013 (Median) to Oct 2018, with 63 observations. The data reached an all-time high of 17.046 Ton mn in Dec 2017 and a record low of 1.110 Ton mn in Sep 2018. India Agriculture Stock: Foodgrains: Unmilled Paddy in term of Rice data remains active status in CEIC and is reported by Food Corporation of India. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RII007: Agricultural Stock: Foodgrains.

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.

Explore the Saudi Arabia World Development Indicators dataset , including key indicators such as Access to clean fuels, Adjusted net enrollment rate, CO2 emissions, and more. Find valuable insights and trends for Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, and India.

Indicator, Access to clean fuels and technologies for cooking, rural (% of rural population), Access to electricity (% of population), Adjusted net enrollment rate, primary, female (% of primary school age children), Adjusted net national income (annual % growth), Adjusted savings: education expenditure (% of GNI), Adjusted savings: mineral depletion (current US$), Adjusted savings: natural resources depletion (% of GNI), Adjusted savings: net national savings (current US$), Adolescents out of school (% of lower secondary school age), Adolescents out of school, female (% of female lower secondary school age), Age dependency ratio (% of working-age population), Agricultural methane emissions (% of total), Agriculture, forestry, and fishing, value added (current US$), Agriculture, forestry, and fishing, value added per worker (constant 2015 US$), Alternative and nuclear energy (% of total energy use), Annualized average growth rate in per capita real survey mean consumption or income, total population (%), Arms exports (SIPRI trend indicator values), Arms imports (SIPRI trend indicator values), Average working hours of children, working only, ages 7-14 (hours per week), Average working hours of children, working only, male, ages 7-14 (hours per week), Cause of death, by injury (% of total), Cereal yield (kg per hectare), Changes in inventories (current US$), Chemicals (% of value added in manufacturing), Child employment in agriculture (% of economically active children ages 7-14), Child employment in manufacturing, female (% of female economically active children ages 7-14), Child employment in manufacturing, male (% of male economically active children ages 7-14), Child employment in services (% of economically active children ages 7-14), Child employment in services, female (% of female economically active children ages 7-14), Children (ages 0-14) newly infected with HIV, Children in employment, study and work (% of children in employment, ages 7-14), Children in employment, unpaid family workers (% of children in employment, ages 7-14), Children in employment, wage workers (% of children in employment, ages 7-14), Children out of school, primary, Children out of school, primary, male, Claims on other sectors of the domestic economy (annual growth as % of broad money), CO2 emissions (kg per 2015 US$ of GDP), CO2 emissions (kt), CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion), CO2 emissions from transport (% of total fuel combustion), Communications, computer, etc. (% of service exports, BoP), Condom use, population ages 15-24, female (% of females ages 15-24), Container port traffic (TEU: 20 foot equivalent units), Contraceptive prevalence, any method (% of married women ages 15-49), Control of Corruption: Estimate, Control of Corruption: Percentile Rank, Upper Bound of 90% Confidence Interval, Control of Corruption: Standard Error, Coverage of social insurance programs in 4th quintile (% of population), CPIA building human resources rating (1=low to 6=high), CPIA debt policy rating (1=low to 6=high), CPIA policies for social inclusion/equity cluster average (1=low to 6=high), CPIA public sector management and institutions cluster average (1=low to 6=high), CPIA quality of budgetary and financial management rating (1=low to 6=high), CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high), Current education expenditure, secondary (% of total expenditure in secondary public institutions), DEC alternative conversion factor (LCU per US$), Deposit interest rate (%), Depth of credit information index (0=low to 8=high), Diarrhea treatment (% of children under 5 who received ORS packet), Discrepancy in expenditure estimate of GDP (current LCU), Domestic private health expenditure per capita, PPP (current international $), Droughts, floods, extreme temperatures (% of population, average 1990-2009), Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative), Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative), Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative), Electricity production from coal sources (% of total), Electricity production from nuclear sources (% of total), Employers, total (% of total employment) (modeled ILO estimate), Employment in industry (% of total employment) (modeled ILO estimate), Employment in services, female (% of female employment) (modeled ILO estimate), Employment to population ratio, 15+, male (%) (modeled ILO estimate), Employment to population ratio, ages 15-24, total (%) (national estimate), Energy use (kg of oil equivalent per capita), Export unit value index (2015 = 100), Exports of goods and services (% of GDP), Exports of goods, services and primary income (BoP, current US$), External debt stocks (% of GNI), External health expenditure (% of current health expenditure), Female primary school age children out-of-school (%), Female share of employment in senior and middle management (%), Final consumption expenditure (constant 2015 US$), Firms expected to give gifts in meetings with tax officials (% of firms), Firms experiencing losses due to theft and vandalism (% of firms), Firms formally registered when operations started (% of firms), Fixed broadband subscriptions, Fixed telephone subscriptions (per 100 people), Foreign direct investment, net outflows (% of GDP), Forest area (% of land area), Forest area (sq. km), Forest rents (% of GDP), GDP growth (annual %), GDP per capita (constant LCU), GDP per unit of energy use (PPP $ per kg of oil equivalent), GDP, PPP (constant 2017 international $), General government final consumption expenditure (current LCU), GHG net emissions/removals by LUCF (Mt of CO2 equivalent), GNI growth (annual %), GNI per capita (constant LCU), GNI, PPP (current international $), Goods and services expense (current LCU), Government Effectiveness: Percentile Rank, Government Effectiveness: Percentile Rank, Lower Bound of 90% Confidence Interval, Government Effectiveness: Standard Error, Gross capital formation (annual % growth), Gross capital formation (constant 2015 US$), Gross capital formation (current LCU), Gross fixed capital formation, private sector (% of GDP), Gross intake ratio in first grade of primary education, male (% of relevant age group), Gross intake ratio in first grade of primary education, total (% of relevant age group), Gross national expenditure (current LCU), Gross national expenditure (current US$), Households and NPISHs Final consumption expenditure (constant LCU), Households and NPISHs Final consumption expenditure (current US$), Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $), Households and NPISHs final consumption expenditure: linked series (current LCU), Human capital index (HCI) (scale 0-1), Human capital index (HCI), male (scale 0-1), Immunization, DPT (% of children ages 12-23 months), Import value index (2015 = 100), Imports of goods and services (% of GDP), Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24), Incidence of HIV, all (per 1,000 uninfected population), Income share held by highest 20%, Income share held by lowest 20%, Income share held by third 20%, Individuals using the Internet (% of population), Industry (including construction), value added (constant LCU), Informal payments to public officials (% of firms), Intentional homicides, male (per 100,000 male), Interest payments (% of expense), Interest rate spread (lending rate minus deposit rate, %), Internally displaced persons, new displacement associated with conflict and violence (number of cases), International tourism, expenditures for passenger transport items (current US$), International tourism, expenditures for travel items (current US$), Investment in energy with private participation (current US$), Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate), Development

Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, India Follow data.kapsarc.org for timely data to advance energy economics research..

The provided dataset encompasses information about over 3000 Indian companies across various industries, offering a comprehensive snapshot of India's vibrant business landscape. Here's an insightful description of the dataset:

Company Name: The name of the company, representing its unique identity and brand within the marketplace.

Industry Sector: Categorization of companies based on the sector or industry in which they operate. This classification covers a diverse array of sectors such as technology, finance, healthcare, manufacturing, consumer goods, and many others, reflecting the multifaceted nature of India's economy.

Company Size: An indication of the size or scale of the company, which may include parameters such as revenue, number of employees, market capitalization, or other relevant metrics. This information provides insights into the company's market presence and potential impact.

Location: The geographic location of the company's headquarters or primary operational base within India. This includes cities across the length and breadth of the country, from metropolitan hubs like Mumbai, Delhi, and Bangalore to emerging business centers in tier 2 and tier 3 cities.

Year of Establishment: The year in which the company was founded or established, providing historical context and highlighting its longevity and experience in the market.

Key Products/Services: Description of the primary products or services offered by the company, showcasing its areas of specialization and core competencies.

Market Positioning: Insights into the company's market positioning, competitive landscape, and strategic initiatives, which may include market share, brand reputation, and differentiation strategies.

Key Observations:

Sectoral Diversity: The dataset reflects the rich diversity of industries present in India's economy, ranging from traditional sectors like agriculture and manufacturing to modern, technology-driven industries such as IT and e-commerce.

Geographic Spread: Companies in the dataset are spread across various states and regions of India, showcasing the country's economic decentralization and the emergence of new business hubs beyond traditional metropolitan areas.

Entrepreneurial Spirit: The dataset underscores India's thriving entrepreneurial ecosystem, characterized by a vibrant startup culture, innovation-driven enterprises, and a growing emphasis on technology and digital transformation.

Contribution to Economy: These 3000+ Indian companies collectively contribute significantly to India's economic growth, job creation, and global competitiveness, driving innovation, investment, and productivity across sectors.

Insights and Applications:

Market Analysis: Analysts and researchers can leverage the dataset to conduct in-depth market analysis, identify industry trends, and gain insights into the performance and growth trajectories of Indian companies across different sectors and regions.

Investment Opportunities: Investors seeking opportunities in India can use the dataset to identify promising companies for potential investment, based on industry dynamics, growth potential, and market positioning.

Policy Formulation: Policymakers and government agencies can utilize the dataset to formulate strategies, policies, and initiatives aimed at fostering entrepreneurship, promoting industrial growth, and enhancing the competitiveness of Indian businesses on the global stage.

Business Development: Entrepreneurs and business leaders can draw inspiration from the diverse array of Indian companies in the dataset, learning from their success stories, strategies, and best practices to drive their own business growth and innovation.

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;

India Agriculture Stock: Foodgrains: Wheat data was reported at 11.794 Ton mn in Mar 2025. This records a decrease from the previous number of 13.406 Ton mn for Feb 2025. India Agriculture Stock: Foodgrains: Wheat data is updated monthly, averaging 23.931 Ton mn from Jan 1997 (Median) to Mar 2025, with 339 observations. The data reached an all-time high of 60.356 Ton mn in Jun 2021 and a record low of 2.010 Ton mn in Mar 2006. India Agriculture Stock: Foodgrains: Wheat data remains active status in CEIC and is reported by Food Corporation of India. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RII017: Agricultural Stock: Foodgrains.

Agricultural Procurement: Rice: All India data was reported at 51,858.000 Ton th in 2024. This records a decrease from the previous number of 54,320.000 Ton th for 2023. Agricultural Procurement: Rice: All India data is updated yearly, averaging 32,037.000 Ton th from Sep 1997 (Median) to 2024, with 28 observations. The data reached an all-time high of 60,173.000 Ton th in 2021 and a record low of 12,599.000 Ton th in 1999. Agricultural Procurement: Rice: 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.RII011: Agricultural Procurement: Rice: by Major States.