Data Dictionary

Column	Type	Label	Description
id	int4	index
year	text	Year
state_name	text	State(s)
state_code	text	State Code
district_name	text	District(s)
district_code	text	District code
farm_size_category	text	Farm size category
farm_size_class	text	Farm size class
crop_code	text	Crop Code
crop_type	text	Crop Type
crop_name	text	Crop(s)
water_source	text	Availability of Irrigation Facility
fertilizer	text	Fertilizer Name
hol_c1_n_fr	numeric	No. of Holdings Growing the Crop which are treated with Fertilizer
tot_c1_ar_tr_fr	numeric	Area Under the Crop Treated With The Fertilizer: Total
tq_tot_fr	numeric	Total Quantity Of The Fertilizer Applied In (M.T): Total

Additional Information

Field	Value
Data last updated	June 5, 2024
Metadata last updated	June 5, 2024
Created	unknown
Format	CSV
License	Open Data Commons Attribution License
Created	4 months ago
Frequency	Quinquennially
Size	597,380
Additional info	nan
Data extraction page	http://inputsurvey.dacnet.nic.in/
Data insights	### Data Insights for Meghalaya Agricultural Landscape**1. Input Consumption Patterns:** The dataset reveals distinct input consumption patterns across diverse farm sizes in Meghalaya. This insight provides a valuable understanding of how different farm sizes utilize agricultural inputs, guiding resource allocation strategies for optimal efficiency.**2. Interplay between Education, Demographics, and Practices:** The data sheds light on the intricate relationship between educational qualifications, household demographics, and agricultural practices in Meghalaya. Understanding this interplay can inform targeted interventions to improve productivity and sustainability in the farming ecosystem.
Data last updated	2015-16
Data retreival date	2018-19
Datastore active	True
District no	6
Granularity	District
Has views	True
Id	ec4ff4c3-8714-4bbe-af90-17a9e098cbef
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	0ee77590-fe5b-4d6d-91c3-baad545952a3
Position	0
Sku	moafw-input_survey_composite-dt-qq-meg
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-meg
Dataset Frequency
Years Covered	2011-12, 2015-16
No of States/UT(s)	1
No of Districts	6
No of Tehsils/blocks
No of Gram Panchayats
Additional Information	nan
Number of Indicators	2
Insights from the dataset	### Data Insights for Meghalaya Agricultural Landscape**1. Input Consumption Patterns:** The dataset reveals distinct input consumption patterns across diverse farm sizes in Meghalaya. This insight provides a valuable understanding of how different farm sizes utilize agricultural inputs, guiding resource allocation strategies for optimal efficiency.**2. Interplay between Education, Demographics, and Practices:** The data sheds light on the intricate relationship between educational qualifications, household demographics, and agricultural practices in Meghalaya. Understanding this interplay can inform targeted interventions to improve productivity and sustainability in the farming ecosystem.
IDP Ready	Yes