Data Dictionary

Column	Type	Label	Description
id	int4	index
year	text	Year
state_name	text	State Name
state_code	text	State Code
district_name	text	District Name
district_code	text	District Code
crop_name	text	Crop Name
crop_type	text	Crop Type
crop_code	text	Crop Code
fertilizer	text	Fertilizer Name
area_type	text	Irrigation Area Type
size_group	text	Farm Size Group
size_category	text	Farm Size Category
n_percentage	numeric	Percentage of Nitrogen
p_percentage	numeric	Percentage of Phosphorus
k_percentage	numeric	Percentage of Potassium
num_of_holdings_grow_one_more_crop	numeric	Total Num of Holdings Growing One or More Crop
num_of_hold_grow_one_more_crop_ttd_with_chem_fert	numeric	Num of Holdings Growing One or More Crop Treated with Chemical Fertilizers
area_under_all_crop_hyv	numeric	Area Under All Crop - High Yielding Variety(HYV)
area_under_all_crop_other	numeric	Area Under All Crop - Other
area_under_all_crop_total	numeric	Area Under All Crop - Total
area_under_all_crop_treat_with_che_fert_hyv	numeric	Area Under All Crop - High Yielding Variety(HYV) Treated with Chemical Fertilizers
area_under_all_crop_treat_with_che_fert_other	numeric	Area Under All Crop - Other Treated with Chemical Fertilizers
area_under_all_crop_treat_with_che_fert_total	numeric	Area Under All Crop - Total Treated with Chemical Fertilizers
qty_fert_applied_hyv	numeric	Quantity of Applied HYV
qty_fert_applied_other	numeric	Quantity of Applied Other
qty_fert_applied_total	numeric	Quantity of Applied Total

Additional Information

Field	Value
Data last updated	October 22, 2025
Metadata last updated	October 22, 2025
Created	December 3, 2024
Format	CSV
License	No License Provided
Additional info	Table4a-Usage of different Fertilizers for different Crops
Data extraction page	https://inputsurvey.da.gov.in/districttables.aspx
Data insights	The Agricultural Input Consumption Survey Dataset for Himachal Pradesh offers insights crucial for optimizing resource allocation by farm size, projecting chemical fertilizer demand, and promoting high-yielding seed varieties. It guides precise pest management strategies, encourages sustainable practices like organic manure and bio-fertilizer adoption, and informs irrigation infrastructure planning. The dataset also addresses regional disparities in input consumption and tailors agricultural credit based on farm sizes and input use, while exploring demographic influences on agricultural practices for informed decision-making and sustainable agriculture in the state.
Data last updated	2016-17
Data retreival date	2025-03-20 00:00:00
Datastore active	True
District no	12
Frequency	Quinquennially
Granularity	District
Has views	True
Id	0e517d86-9d2d-4910-ae5f-16424586126f
Idp ready	True
Methodology	The "Input Survey" dataset in the domain of Food and Agriculture is collected by the Agricultural Census Division, which operates under the Department of Agriculture and Cooperation within the Ministry of Agriculture. This survey focuses on the agricultural sector and gathers information at the district level. The data is collected quinquennially, meaning it is conducted every five years. The survey aims to provide comprehensive insights into various aspects of agriculture, including crop production, land use, livestock, and related practices across different districts. The information gathered through this survey plays a crucial role in shaping agricultural policies and strategies at both regional and national levels, ultimately contributing to the sustainable development of the food and agriculture sector in the country.
Mimetype	text/csv
No indicators	14
Package id	c642cc06-44fa-486d-aeb0-f5942e2210a9
Position	2
Similar datasets	['National Agricultural Census Data (NACD)', 'Crop Yield Surveys by State Agricultural Departments', 'Livestock Census Data', 'Agricultural Land Use Patterns', 'Rural Development and Agriculture Surveys']
Size	3.2 MiB
Sku	moafw-input_survey_crop-dt-qq-him
State	active
States uts no	1
Tags	['Agriculture', 'Agricultural Census', 'Food Production', 'District-level Data', 'Ministry of Agriculture', 'Department of Agriculture and Cooperation', 'Quinquennial Survey']
Url type	upload
Years covered	2011-12, 2016-17
Methodology	The "Input Survey" dataset in the domain of Food and Agriculture is collected by the Agricultural Census Division, which operates under the Department of Agriculture and Cooperation within the Ministry of Agriculture. This survey focuses on the agricultural sector and gathers information at the district level. The data is collected quinquennially, meaning it is conducted every five years. The survey aims to provide comprehensive insights into various aspects of agriculture, including crop production, land use, livestock, and related practices across different districts. The information gathered through this survey plays a crucial role in shaping agricultural policies and strategies at both regional and national levels, ultimately contributing to the sustainable development of the food and agriculture sector in the country.
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_crop-dt-qq-him
Dataset Frequency	Quinquennially
Years Covered	2011-12, 2016-17
No of States/UT(s)	1
No of Districts	12
No of Tehsils/blocks
No of Gram Panchayats
Additional Information	Table4a-Usage of different Fertilizers for different Crops
Number of Indicators	14
Insights from the dataset	The Agricultural Input Consumption Survey Dataset for Himachal Pradesh offers insights crucial for optimizing resource allocation by farm size, projecting chemical fertilizer demand, and promoting high-yielding seed varieties. It guides precise pest management strategies, encourages sustainable practices like organic manure and bio-fertilizer adoption, and informs irrigation infrastructure planning. The dataset also addresses regional disparities in input consumption and tailors agricultural credit based on farm sizes and input use, while exploring demographic influences on agricultural practices for informed decision-making and sustainable agriculture in the state.
IDP Ready	Yes