Data Dictionary

Additional Information

Field	Value
Data last updated	April 29, 2025
Metadata last updated	April 29, 2025
Created	October 7, 2023
Format	CSV
License	Open Data Commons Attribution License
Additional info	Table1-Parcels per holding & Area per parcel Table2A-Irrigated Area Cropped once & more than once Table2B-Un-Irrigated Area Cropped once & more than once Table7-Usage of Ag. Machinery & Implements Table8-Credit availed for Agril. Purpose Table9A-Usage of Certified Seeds (Blue Tag) Table9D-Pest Control measures Table10-Educational Status Table11-Average Age Table12-Average Size of Household
Data extraction page	https://inputsurvey.da.gov.in/districttables.aspx
Data insights	The Agricultural Inputs Consumption Survey Dataset offers a comprehensive view of agricultural practices across various operational holding sizes. By categorizing holdings into distinct groups, from marginal to large, it provides a nuanced understanding of input consumption patterns. The dataset further delves into irrigation practices, delineating between net and gross irrigated areas, as well as unirrigated sections. This information is invaluable for assessing the extent of irrigation practices and water resource utilization. Moreover, the dataset sheds light on critical aspects such as total operated area and livestock count, painting a vivid picture of the scale and scope of agricultural activities. Additionally, detailed insights into credit usage patterns, including sources like Primary Agricultural Credit Societies, Land Development Banks, and Commercial Banks, provide a glimpse into the financial support system for operational holdings. With data on seed usage, it becomes possible to discern trends in seed adoption, be it certified, notified, or hybrid varieties. These insights collectively serve as a robust foundation for formulating targeted policies, making informed decisions, and advancing sustainable agricultural practices.
Data last updated	2016-17
Data retreival date	2025-03-20 00:00:00
Datastore active	True
District no	674
Frequency	Quinquennially
Granularity	District
Has views	True
Id	be94d845-cac8-472d-9451-310dd1903573
Idp ready	True
Lgd mapping	yes
Methodology	The "Input Survey Composite" dataset, within the domain of Food and Agriculture, is collected and maintained by the Agricultural Census Division under the Department of Agriculture and Cooperation, Ministry of Agriculture. The data is gathered at the district level and is conducted on a quinquennial basis, meaning it occurs every five years. The methodology employed involves a comprehensive survey process wherein data pertaining to various aspects of food and agriculture within each district is systematically collected. This includes information on crop production, livestock, agricultural practices, and other relevant variables. The survey is likely to involve field visits, interviews, and possibly the use of specialized tools or technologies for data collection. The aim is to provide a detailed and accurate snapshot of the agricultural landscape in each district, enabling informed policy-making and resource allocation in the sector.
Mimetype	text/csv
No indicators	176
Package id	e2707780-4ea6-49e8-81d7-0605ae356f26
Position	1
Size	6.2 MiB
Sku	moafw-input_survey_noncrop-dt-qq-aaa
State	active
States uts no	36
Url type	upload
Years covered	2011-12, 2016-17
Methodology	The "Input Survey Composite" dataset, within the domain of Food and Agriculture, is collected and maintained by the Agricultural Census Division under the Department of Agriculture and Cooperation, Ministry of Agriculture. The data is gathered at the district level and is conducted on a quinquennial basis, meaning it occurs every five years. The methodology employed involves a comprehensive survey process wherein data pertaining to various aspects of food and agriculture within each district is systematically collected. This includes information on crop production, livestock, agricultural practices, and other relevant variables. The survey is likely to involve field visits, interviews, and possibly the use of specialized tools or technologies for data collection. The aim is to provide a detailed and accurate snapshot of the agricultural landscape in each district, enabling informed policy-making and resource allocation in the sector.
Indicators
Similar Resources
Granularity Level	District
Data Extraction Page	https://inputsurvey.da.gov.in/districttables.aspx
Data Retreival Date	2025-03-20 00:00:00
Data Last Updated	2016-17
Sku	moafw-input_survey_noncrop-dt-qq-aaa
Dataset Frequency	Quinquennially
Years Covered	2011-12, 2016-17
No of States/UT(s)	36
No of Districts	674
No of Tehsils/blocks
No of Gram Panchayats
Additional Information	Table1-Parcels per holding & Area per parcel Table2A-Irrigated Area Cropped once & more than once Table2B-Un-Irrigated Area Cropped once & more than once Table7-Usage of Ag. Machinery & Implements Table8-Credit availed for Agril. Purpose Table9A-Usage of Certified Seeds (Blue Tag) Table9D-Pest Control measures Table10-Educational Status Table11-Average Age Table12-Average Size of Household
Number of Indicators	176
Insights from the dataset	The Agricultural Inputs Consumption Survey Dataset offers a comprehensive view of agricultural practices across various operational holding sizes. By categorizing holdings into distinct groups, from marginal to large, it provides a nuanced understanding of input consumption patterns. The dataset further delves into irrigation practices, delineating between net and gross irrigated areas, as well as unirrigated sections. This information is invaluable for assessing the extent of irrigation practices and water resource utilization. Moreover, the dataset sheds light on critical aspects such as total operated area and livestock count, painting a vivid picture of the scale and scope of agricultural activities. Additionally, detailed insights into credit usage patterns, including sources like Primary Agricultural Credit Societies, Land Development Banks, and Commercial Banks, provide a glimpse into the financial support system for operational holdings. With data on seed usage, it becomes possible to discern trends in seed adoption, be it certified, notified, or hybrid varieties. These insights collectively serve as a robust foundation for formulating targeted policies, making informed decisions, and advancing sustainable agricultural practices.
IDP Ready	Yes
LGD Mapping	Yes