Data Dictionary

Additional Information

Field	Value
Data last updated	March 13, 2024
Metadata last updated	August 22, 2024
Created	August 11, 2023
Format	CSV
License	Open Data Commons Attribution License
Additional info	nan
Data extraction page	http://agcensus.dacnet.nic.in/nationalcharacteristic.aspx
Data insights	By analyzing this dataset, we can gain insights into the diverse agricultural landscapes across districts in the country. Here are some key questions that can be explored using this dataset: What is the distribution of land use types across different districts? How does the ownership status vary among agricultural land holdings in different districts? Which districts have the highest percentage of irrigated agricultural lands? Are there any notable differences in land leasing types between districts? What is the average size of agricultural land holdings in each district? Can we identify districts with significant variations in land use patterns compared to the national average? How does the distribution of agricultural land holdings vary across different social groups in each district? Are there any correlations between the size of agricultural land holdings and the level of mechanization in districts? Which districts exhibit a high level of diversification in terms of non-crop activities on agricultural lands? What are the trends in agricultural land use and ownership status over time within specific districts?
Data last updated	2019-20
Data retreival date	2019-20
Datastore active	True
District no	676
Frequency	Quinquennially
Granularity	District
Has views	True
Id	c0f168be-3532-4d08-b908-473ded89bd8b
Idp ready	True
Lgd mapping	yes
Methodology	To compile this dataset, a combination of data collection methods was employed. In regions where detailed land records are not available, and the practice of enumerating crops on a field-to-field basis is not prevalent, sample surveys were conducted through household inquiries.
Mimetype	text/csv
No indicators	73
Package id	572e4410-8332-46a5-a212-12fd6928a20a
Position	0
Size	20.3 MiB
Sku	moafw-agcensus_noncrop-dt-qq-ort
State	active
States uts no	36
Tags	['Farmers', 'Land Ownership', 'Tubewells', 'Irrigation']
Url type	upload
Years covered	2010-11 , 2015-16
Methodology	To compile this dataset, a combination of data collection methods was employed. In regions where detailed land records are not available, and the practice of enumerating crops on a field-to-field basis is not prevalent, sample surveys were conducted through household inquiries.
Indicators
Similar Resources
Granularity Level	District
Data Extraction Page	http://agcensus.dacnet.nic.in/nationalcharacteristic.aspx
Data Retreival Date	2019-20
Data Last Updated	2019-20
Sku	moafw-agcensus_noncrop-dt-qq-ort
Dataset Frequency	Quinquennially
Years Covered	2010-11 , 2015-16
No of States/UT(s)	36
No of Districts	676
No of Tehsils/blocks
No of Gram Panchayats
Additional Information	nan
Number of Indicators	73
Insights from the dataset	By analyzing this dataset, we can gain insights into the diverse agricultural landscapes across districts in the country. Here are some key questions that can be explored using this dataset: What is the distribution of land use types across different districts? How does the ownership status vary among agricultural land holdings in different districts? Which districts have the highest percentage of irrigated agricultural lands? Are there any notable differences in land leasing types between districts? What is the average size of agricultural land holdings in each district? Can we identify districts with significant variations in land use patterns compared to the national average? How does the distribution of agricultural land holdings vary across different social groups in each district? Are there any correlations between the size of agricultural land holdings and the level of mechanization in districts? Which districts exhibit a high level of diversification in terms of non-crop activities on agricultural lands? What are the trends in agricultural land use and ownership status over time within specific districts?
IDP Ready	Yes
LGD Mapping	Yes