Input Survey - Composite
The Agricultural Input Consumption Survey dataset offers a detailed perspective on the utilization of key agricultural inputs among various operational holding size categories, ranging from marginal to large holdings. This data is crucial for informed decision-making in the production, import, and distribution of fertilizers. The survey covers a spectrum of inputs including chemical fertilizers, HYV seeds, pesticides, and more. It also captures essential information like pest control measures, educational qualifications, and household demographics of operational holders. The dataset is a valuable resource for policymakers, researchers, and stakeholders in the agricultural sector.
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
- num_holdings
- Type
- numeric
- Label
- Total Num of Holdings Growing Crop
- ID
- num_holdings_treated_with_manu
- Type
- numeric
- Label
- Num of Holdings Growing Crop Treated with Manure
- ID
- area_under_hyv
- Type
- numeric
- Label
- Area Under Crop - High Yielding Variety(HYV)
- ID
- area_under_other
- Type
- numeric
- Label
- Area Under Crop - Other
- ID
- area_under_total
- Type
- numeric
- Label
- Area Under Crop - Total
- ID
- area_under_treat_with_manu_hyv
- Type
- numeric
- Label
- Area Under Crop - High Yielding Variety(HYV) Treated with Manure
- ID
- area_under_treat_with_manu_other
- Type
- numeric
- Label
- Area Under Crop - Other Treated with Manure
- ID
- area_under_treat_with_manu_total
- Type
- numeric
- Label
- Area Under Crop - Total Treated with Manure
- ID
- qty_manu_applied_hyv
- Type
- numeric
- Label
- Quantity of Manure Applied for HYV
- ID
- qty_manu_applied_other
- Type
- numeric
- Label
- Quantity of Manure Applied for Other
- ID
- qty_manu_applied_total
- Type
- numeric
- Label
- Quantity of Manure Applied for Total
- ID
- area_under_hyb
- Type
- numeric
- Label
- Area Under Crop - Hybrid(HYB)
- ID
- area_under_treat_with_manu_hyb
- Type
- numeric
- Label
- Area Under Crop - Hybrid(HYB) Treated With Manure
- ID
- qty_manu_applied_hyb
- Type
- numeric
- Label
- Quantity of Manuare Applied for HYB
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 info | Table5E-Usage of FYM/Compost for different Crops Table5F-Usage of Oil Cakes for different Crops Table5G-Usage of Other organic manures for different Crops Table5H-Usage of Pesticides for different Crops Table5I-Usage of Rhizobium for different Crops Table5J-Usage of Azetobactor for different Crops Table5K-Usage of Blue Green Algae for different Crops Table5L-Usage of PSB for different Crops Table5LA-Usage of Green Manure for different Crops Table9B-Crop-wise Usage of Certified Seeds (Blue Tag) Table9C-Crop-wise Usage of Hybrid Seeds |
| Data extraction page | https://inputsurvey.da.gov.in/districttables.aspx |
| Data insights | 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. |
| 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 | 3f4bea5f-3ccc-443c-8a86-7e44ac3efd79 |
| Idp ready | True |
| Lgd mapping | yes |
| 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. |
| Mimetype | text/csv |
| No indicators | 14 |
| Package id | e2707780-4ea6-49e8-81d7-0605ae356f26 |
| Position | 0 |
| Size | 708.6 MiB |
| Sku | moafw-input_survey_composite-dt-qq-aaa |
| State | active |
| States uts no | 36 |
| Tags | ['Agriculture', 'Agricultural Census', 'Food Production\n District-level Data', 'Ministry of Agriculture\n 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 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_composite-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 | Table5E-Usage of FYM/Compost for different Crops Table5F-Usage of Oil Cakes for different Crops Table5G-Usage of Other organic manures for different Crops Table5H-Usage of Pesticides for different Crops Table5I-Usage of Rhizobium for different Crops Table5J-Usage of Azetobactor for different Crops Table5K-Usage of Blue Green Algae for different Crops Table5L-Usage of PSB for different Crops Table5LA-Usage of Green Manure for different Crops Table9B-Crop-wise Usage of Certified Seeds (Blue Tag) Table9C-Crop-wise Usage of Hybrid Seeds |
| 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 |