Actual value and historical data chart for India Employment In Agriculture Percent Of Total Employment

Almost *** million were employed in India's agriculture sector in financial year 2024. However, the number of employees was the highest in fiscal year 2022 at over *** million. The industry saw an overall decline in the number of employees.

In financial year 2022, over ** percent of the rural workforce in India was employed in the agriculture sector. The country noticed a decline in the share of agriculture in rural employment since the financial year 1991.

India Employment: Public: Agriculture, Hunting, etc. data was reported at 473.000 Person th in 2012. This records a decrease from the previous number of 477.000 Person th for 2011. India Employment: Public: Agriculture, Hunting, etc. data is updated yearly, averaging 506.000 Person th from Mar 1982 (Median) to 2012, with 31 observations. The data reached an all-time high of 573.000 Person th in 1992 and a record low of 463.000 Person th in 1982. India Employment: Public: Agriculture, Hunting, etc. data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under Global Database’s India – Table IN.GBA001: Employment.

Actual value and historical data chart for India Employees Agriculture Female Percent Of Female Employment

India Employment: Private: Agriculture, Hunting, etc. data was reported at 924.000 Person th in 2012. This records an increase from the previous number of 918.000 Person th for 2011. India Employment: Private: Agriculture, Hunting, etc. data is updated yearly, averaging 896.000 Person th from Mar 1982 (Median) to 2012, with 31 observations. The data reached an all-time high of 1,028.000 Person th in 2006 and a record low of 807.000 Person th in 1985. India Employment: Private: Agriculture, Hunting, etc. data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under Global Database’s India – Table IN.GBA001: Employment.

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.

Actual value and historical data chart for India Employees Agriculture Male Percent Of Male Employment

India's agriculture sector was the leading industry in terms of employment in the financial year 2023 with the number of employees tallying over *** million. Meanwhile, the mining industry recorded almost *** million employees. The services sector is the next big sector in India after agriculture. Challenges facing the agriculture sector Agriculture is the mainstay of India’s workforce. It employs over 42 percent of India’s population. However, it is the lowest contributor to the country’s GDP when compared to other major sectors. Despite being one of the largest producers of crops in the world, agricultural productivity remains low. Key issues impacting productivity include the decreasing size of landholdings, dependence on monsoons, inadequate access to irrigation, lack of access to credit and finance for marginal farmers, inadequate agricultural infrastructure, vulnerability to market volatility, and climate change, among others. Service sector: Key GDP contributor The service sector contributes a lion’s share to India’s GDP. Driven by investments and a skilled workforce, India has now positioned itself on the global stage for services. Information technology, financial services, and communications are the key performing subsectors within the service industry. However, the rising labor productivity in the sector has reduced the demand for labor. This gap in output and employment parallels the disproportionately larger share of the service sector in GDP than employment.

The dataset contains Year- and region-wise All India compiled data on distribution (per thousand) of Scheduled Caste (SC), Scheduled Tribe (ST), Other Backward Classes (OBC) and Others caste households by agricultural activity undertaken different sizes of agricultural land, during the period of 2005 to 2012. The dataset has been compiled from Statement Nos. 3.8 of 61st, 66th and 68th round reports of NSS.

India Number of Job Postings: Removed: Agriculture, Forestry, Fishing and Hunting data was reported at 54.000 Unit in 05 May 2025. This records a decrease from the previous number of 61.000 Unit for 28 Apr 2025. India Number of Job Postings: Removed: Agriculture, Forestry, Fishing and Hunting data is updated weekly, averaging 0.000 Unit from Jan 2008 (Median) to 05 May 2025, with 905 observations. The data reached an all-time high of 201.000 Unit in 02 Dec 2024 and a record low of 0.000 Unit in 23 Aug 2021. India Number of Job Postings: Removed: Agriculture, Forestry, Fishing and Hunting data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s India – Table IN.RL.JP: Number of Job Postings: Removed: by Industry.

Agriculture was the major source of employment in rural India accounting for almost ** percent of the workforce in 2024. Meanwhile, the construction sector was the major employer within non-agricultural activities during the same period.

The dataset contains All India Employment Situation in India - Per 1000 Distribution of Usually Employed by Broad Groups of Industry for Various Rounds from Handbook of Statistics on Indian Economy.

Primary sector : Agriculture and allied activities Secondary sector : Mining, manufacture, electricity, gas,water, etc. and construction Tertiary sector : Trade, hotel and restuarant, Transport,storage and communication and Other services Note: 1. Data on NSS rounds 38, 43, 50, 55, 61, 66 and 68 relates to quinquennial rounds. 2: Data for July 2017-June 2018, pertain to the Periodic Labour Force Survey (PLFS), that accounts labour force estimates for both status (ps and ss).

India Number of Job Postings: Active: Agriculture, Forestry, Fishing and Hunting data was reported at 1,670.000 Unit in 17 Nov 2025. This records an increase from the previous number of 1,653.000 Unit for 10 Nov 2025. India Number of Job Postings: Active: Agriculture, Forestry, Fishing and Hunting data is updated weekly, averaging 8.000 Unit from Jan 2008 (Median) to 17 Nov 2025, with 933 observations. The data reached an all-time high of 14,193.000 Unit in 18 Nov 2024 and a record low of 0.000 Unit in 09 Nov 2020. India Number of Job Postings: Active: Agriculture, Forestry, Fishing and Hunting data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s India – Table IN.RL.JP: Number of Job Postings: Active: by Industry.

Differences in relative female employment by soil texture are used to explain the heterogeneous deficit of female children across districts within India. Soil texture varies exogenously and determines the depth of land tillage. Deep tillage, possible in loamy but not in clayey soil textures, reduces the demand for labor in agricultural tasks traditionally performed by women. Girls have a lower economic value where female labor opportunities are fewer. Consistently, higher relative female employment in agriculture improves the ratio of female to male children in districts that have a smaller fraction of loamy relative to clayey soils.

India ASI: Number of Employees: Daily Average: Agriculture and Post Harvest Crop Activities data was reported at 104,729.000 Person in 2013. This records a decrease from the previous number of 112,137.000 Person for 2012. India ASI: Number of Employees: Daily Average: Agriculture and Post Harvest Crop Activities data is updated yearly, averaging 106,798.000 Person from Mar 2009 (Median) to 2013, with 5 observations. The data reached an all-time high of 119,635.000 Person in 2011 and a record low of 92,437.000 Person in 2010. India ASI: Number of Employees: Daily Average: Agriculture and Post Harvest Crop Activities data remains active status in CEIC and is reported by Labour Bureau Government of India. The data is categorized under India Premium Database’s Labour Market – Table IN.GBA022: Annual Survey of Industries: Number of Employees: Daily Average: by Industries: NIC 2008.

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.

India ASI: Labour Cost per Manday Worked: All Employees: Agriculture and Post Harvest Crop Activities data was reported at 381.810 INR in 2013. This records an increase from the previous number of 265.090 INR for 2012. India ASI: Labour Cost per Manday Worked: All Employees: Agriculture and Post Harvest Crop Activities data is updated yearly, averaging 265.090 INR from Mar 2009 (Median) to 2013, with 5 observations. The data reached an all-time high of 381.810 INR in 2013 and a record low of 154.590 INR in 2009. India ASI: Labour Cost per Manday Worked: All Employees: Agriculture and Post Harvest Crop Activities data remains active status in CEIC and is reported by Labour Bureau Government of India. The data is categorized under India Premium Database’s Labour Market – Table IN.GBB044: Annual Survey of Industries: Labour Cost per Manday Worked: All Employees: by Industries: NIC 2008.

Data in table tells us about the year-wise Consumer price index numbers for agricultural labourers and rural labourers. The two categories mentioned in the table are- general and food items for all the Indian States and UTs from 2005-06 to 2016-17. The specific weight of each index type- general and food is also calculated.

Notes: 1.The linking factor at All India level for conversion of current series on base 1986-87=100 to old base 1960-61=100 is 5.89 for General Index and 6.38 for Food Index in respect of Indices of Agricultural Labourers. 2. Agricultural Year = July to June

Context

The dataset contains comprehensive data on crop production statistics for India, categorized by state and district. The dataset covers four major crop seasons, namely kharif, rabbi, summer, and autumn, from the year 1997 to 2023. The data provides information on the annual production and yield of crops grown in different parts of the country.

The dataset will be useful for researchers, policymakers, and farmers who are interested in understanding crop production patterns in different regions of India. By analyzing the data, researchers can identify the factors that influence crop yields and production and can make informed decisions on how to improve agricultural productivity in the country. Policymakers can use the data to design and implement agricultural policies that promote sustainable farming practices and improve food security.

Farmers can also benefit from the dataset by gaining insights into the best crops to grow in their region and making informed decisions on crop management practices. Additionally, the dataset can be used to train machine learning models to predict crop yields and production in different parts of the country, which can be valuable for agricultural businesses and organizations. Overall, the dataset provides a comprehensive overview of crop production statistics in India, which is essential for understanding the country's agricultural landscape and developing effective strategies for sustainable agriculture.

Sources

This dataset contains comprehensive information on agricultural production statistics in India, sourced from the Indian government's Area Production Statistics (APS) database. The APS is maintained by the Ministry of Agriculture and Farmers Welfare and provides detailed data on crop production, yield, and area under cultivation across different states and districts in India. Overall, this dataset is an important resource for anyone interested in agriculture and its impact on the Indian economy and society.

Link :- https://aps.dac.gov.in/APY/Public_Report1.aspx

Inspiration

Agriculture is the backbone of the Indian economy, providing employment to millions of people and contributing significantly to the country's GDP. However, the sector is faced with several challenges, including climate change, low productivity, and food security issues. To address these challenges, there is a need for data-driven solutions that can inform policy and decision-making.

Creating a dataset that captures agricultural production statistics in India can help in this regard. The dataset can provide valuable insights into crop yields, area under cultivation, and other metrics that can inform agricultural policies and practices. It can also be used to identify trends and patterns in agricultural production, helping farmers and policymakers make informed decisions about crop selection, irrigation, and other important factors that affect agricultural productivity.

Additionally, the dataset can be used for machine learning and predictive modeling to generate insights and make accurate predictions about crop production in different parts of the country. Overall, the dataset has the potential to contribute significantly to the development of the agriculture sector in India and help address some of the challenges faced by the sector.