Data last updated |
June 24, 2024 |
Metadata last updated |
June 25, 2024 |
Created |
June 24, 2024 |
Format |
CSV |
License |
Open Data Commons Attribution License
|
Additional info | nan |
Data extraction page | http://inputsurvey.dacnet.nic.in/ |
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 | 2015-16 |
Data retreival date | 2018-19 |
Datastore active | True |
District no | 11 |
Frequency | Quinquennially |
Granularity | District |
Has views | True |
Id | 3efd9f5c-bc58-4fae-84f8-8cf41fd7dba0 |
Idp ready | True |
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. |
No indicators | 2 |
Package id | c642cc06-44fa-486d-aeb0-f5942e2210a9 |
Position | 0 |
Size | 1 MiB |
Sku | moafw-input_survey_composite-dt-qq-him |
State | active |
States uts no | 1 |
Url type | upload |
Years covered | 2011-12, 2015-16 |
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. |
Similar Resources |
|
Granularity Level |
District |
Data Extraction Page |
http://inputsurvey.dacnet.nic.in/ |
Data Retreival Date |
2018-19 |
Data Last Updated |
2015-16 |
Sku |
moafw-input_survey_composite-dt-qq-him |
Dataset Frequency |
Quinquennially |
Years Covered |
2011-12, 2015-16 |
No of States/UT(s) |
1 |
No of Districts |
11 |
No of Tehsils/blocks |
|
No of Gram Panchayats |
|
Additional Information |
nan |
Number of Indicators |
2 |
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 |