District-wise Crop Production Data
Data Science and Analytics
Tags and Keywords
Trusted By



"No reviews yet"
Free
About
The data showcases statistics on crop yield, production, and area under cultivation within India. It is organised at the district and state level, offering detailed statistics for various crops and agricultural seasons, essential for geographical and historical analysis of farming outcomes.
Columns
- State: The name of the Indian state where the crop was produced. Uttar Pradesh is one of the most frequently occurring states in the data.
- District: The specific district within the state; the data includes 707 unique districts.
- Crop: The variety of crop recorded. There are 55 unique crops noted, including Rice and Maize.
- Crop_Year: The year associated with the crop harvest or measurement, ranging from 1997 to 2020.
- Season: Identifies the agricultural season, such as Kharif or Rabi, with six unique season designations available.
- Area: The total area under cultivation, measured in units that reach a maximum of 8.58 million.
- Production: The recorded total quantity produced, with some missing records (less than 2%) and values reaching up to 1.60 billion.
- Yield: The crop yield per area, measured up to 44 thousand units.
Distribution
The information is contained within a file titled 'Crop_Production_Statistics.csv', which is approximately 21.14 MB in size. It comprises eight fields and contains about 345,000 valid records in total. Data files are typically available in CSV format.
Usage
Ideal applications include macroeconomic agricultural forecasting, evaluating regional crop performance, developing models for yield prediction, and informing policy decisions related to food security and farm planning. It is particularly useful for studying historical trends in Indian agriculture.
Coverage
The geographic scope covers all of India, detailed across its various states and 707 unique districts. The time frame spans 23 years, from 1997 up to 2020, encompassing 55 different crop types and 6 distinct agricultural seasons (e.g., Kharif and Rabi).
License
CC0: Public Domain
Who Can Use It
Agricultural economists studying regional trends, government bodies drafting farm subsidies or water usage policy, researchers analysing historical yield volatility, and data scientists building predictive models for food supply chains.
Dataset Name Suggestions
- India Agricultural Yield Statistics
- District-wise Crop Production Data
- Indian Crop Statistics 1997-2020
- National Crop Area and Production Data
Attributes
Original Data Source: District-wise Crop Production Data
Loading...
