Data Dictionary

ID
id
Type
int4
Label
index

ID
year
Type
text
Label
Year

ID
state_name
Type
text
Label
State Name

ID
state_code
Type
text
Label
State Code

ID
district_name
Type
text
Label
District Name

ID
district_code
Type
text
Label
District Code

ID
crop_name
Type
text
Label
Crop Name

ID
crop_type
Type
text
Label
Crop Type

ID
crop_code
Type
text
Label
Crop Code

ID
fertilizer
Type
text
Label
Fertilizer Name

ID
area_type
Type
text
Label
Irrigation Area Type

ID
size_group
Type
text
Label
Farm Size Group

ID
size_category
Type
text
Label
Farm Size Category

ID
n_percentage
Type
numeric
Label
Percentage of Nitrogen

ID
p_percentage
Type
numeric
Label
Percentage of Phosphorus

ID
k_percentage
Type
numeric
Label
Percentage of Potassium

ID
num_of_holdings_grow_one_more_crop
Type
numeric
Label
Total Num of Holdings Growing One or More Crop

ID
num_of_hold_grow_one_more_crop_ttd_with_chem_fert
Type
numeric
Label
Num of Holdings Growing One or More Crop Treated with Chemical Fertilizers

ID
area_under_all_crop_hyv
Type
numeric
Label
Area Under All Crop - High Yielding Variety(HYV)

ID
area_under_all_crop_other
Type
numeric
Label
Area Under All Crop - Other

ID
area_under_all_crop_total
Type
numeric
Label
Area Under All Crop - Total

ID
area_under_all_crop_treat_with_che_fert_hyv
Type
numeric
Label
Area Under All Crop - High Yielding Variety(HYV) Treated with Chemical Fertilizers

ID
area_under_all_crop_treat_with_che_fert_other
Type
numeric
Label
Area Under All Crop - Other Treated with Chemical Fertilizers

ID
area_under_all_crop_treat_with_che_fert_total
Type
numeric
Label
Area Under All Crop - Total Treated with Chemical Fertilizers

ID
qty_fert_applied_hyv
Type
numeric
Label
Quantity of Applied HYV

ID
qty_fert_applied_other
Type
numeric
Label
Quantity of Applied Other

ID
qty_fert_applied_total
Type
numeric
Label
Quantity of Applied Total

Additional Information

Field Value
Data last updated April 23, 2025
Metadata last updated April 23, 2025
Created October 7, 2023
Format CSV
License Open Data Commons Attribution License
Additional infoTable4a-Usage of different Fertilizers for different Crops
Data extraction pagehttps://inputsurvey.da.gov.in/districttables.aspx
Data insightsThe dataset provides a wealth of insights into the agricultural landscape, offering a nuanced understanding of input consumption patterns across diverse farm sizes. It unveils trends in the adoption of high-yielding seeds, pest control measures, and the use of various fertilizers. Moreover, it sheds light on the interplay between educational qualifications, household demographics, and agricultural practices. These data-driven insights serve as a compass for optimizing resource allocation, bolstering productivity, and fostering sustainable agricultural practices in the dynamic farming ecosystem.
Data last updated2016-17
Data retreival date2025-03-20 00:00:00
Datastore activeTrue
District no657
FrequencyQuinquennially
GranularityDistrict
Has viewsTrue
Id173bfe27-29ba-4673-837e-34327249549c
Idp readyTrue
Lgd mappingyes
MethodologyThe "Input Survey" dataset in the domain of Food and Agriculture is collected and maintained by the Directorate of Economics & Statistics, Department of Agriculture & Cooperation, Ministry of Agriculture. This survey is conducted at the district level and is carried out quinquennially, meaning it occurs once every five years. The data collection process involves a comprehensive survey methodology that includes gathering information directly from various stakeholders within the agriculture sector. This encompasses farmers, agricultural cooperatives, and other relevant entities involved in the production and distribution of food. The survey encompasses a range of parameters including crop yields, land use patterns, agricultural practices, and input utilization. The collected data serves as a crucial foundation for policy formulation, resource allocation, and strategic planning within the agricultural sector. For more detailed information, you can refer to the source link provided.
Mimetypetext/csv
No indicators14
Package ide2707780-4ea6-49e8-81d7-0605ae356f26
Position2
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']
Size336.8 MiB
Skumoafw-input_survey_crop-dt-qq-aaa
Stateactive
States uts no34
Tags['Agriculture', 'Agricultural Census', 'Food Production', 'District-level Data', 'Ministry of Agriculture', 'Department of Agriculture and Cooperation', 'Quinquennial Survey']
Url typeupload
Years covered2011-12, 2016-17
Methodology The "Input Survey" dataset in the domain of Food and Agriculture is collected and maintained by the Directorate of Economics & Statistics, Department of Agriculture & Cooperation, Ministry of Agriculture. This survey is conducted at the district level and is carried out quinquennially, meaning it occurs once every five years. The data collection process involves a comprehensive survey methodology that includes gathering information directly from various stakeholders within the agriculture sector. This encompasses farmers, agricultural cooperatives, and other relevant entities involved in the production and distribution of food. The survey encompasses a range of parameters including crop yields, land use patterns, agricultural practices, and input utilization. The collected data serves as a crucial foundation for policy formulation, resource allocation, and strategic planning within the agricultural sector. For more detailed information, you can refer to the source link provided.
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_crop-dt-qq-aaa
Dataset Frequency Quinquennially
Years Covered 2011-12, 2016-17
No of States/UT(s) 34
No of Districts 657
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 dataset provides a wealth of insights into the agricultural landscape, offering a nuanced understanding of input consumption patterns across diverse farm sizes. It unveils trends in the adoption of high-yielding seeds, pest control measures, and the use of various fertilizers. Moreover, it sheds light on the interplay between educational qualifications, household demographics, and agricultural practices. These data-driven insights serve as a compass for optimizing resource allocation, bolstering productivity, and fostering sustainable agricultural practices in the dynamic farming ecosystem.
IDP Ready Yes
LGD Mapping Yes