Input Survey - Input Survey - Non Crop

The Agricultural Inputs Consumption Survey Dataset for Himachal Pradesh offers detailed insights into the utilization of agricultural resources across diverse farm sizes. It aims to elucidate patterns of input consumption among different categories of farmers, facilitating strategic planning for production, fertilizer imports, and distribution within the state. The dataset includes crucial variables such as farm size, irrigation practices, livestock inventory, credit utilization, and seed varieties. This comprehensive information serves as a pivotal resource for shaping agricultural policies and making informed decisions tailored to the unique agricultural landscape of Himachal Pradesh.

Data Dictionary

Column	Type	Label
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_class	text	Farm size class
farm_size_category	text	Farm size category
net_ir_a	numeric	Net Irrigated Area
grs_ir_a	numeric	Gross Irrigated Area
unir_netunir_a	numeric	Net Unirrigated Area
unir_grsunir_a	numeric	Gross Unirrigated Area
oa_t	numeric	Total Operated Area
ctl_tn	numeric	Total Number of Cattle
bffl_tn	numeric	Total Number of Buffaloes
op_hol_tn	numeric	Total Number of Operational Holdings
es_oh_ins_cr	numeric	Estimated Number of Operational Holdings That Took Institutional Credit
oh_cr_pacs	numeric	No. of Operational Holdings That Took Credit From Primary Agricultural Credit Society (PACS)
oh_cr_pldb	numeric	No. of Operational Holdings That Took Credit From Primary Land Development Bank/Branch of SLDB (PLDB/SLDB)
oh_cr_cbb	numeric	No. of Operational Holdings That Took Credit From CBB (Commercial Bank Branch)
oh_cr_rrbb	numeric	No. of Operational Holdings That Took Credit From RRBB (Regional Rural Bank Branch)
amt_ins_cr_sl	numeric	Amount Of Institutional Credit Taken for SL (Short Term Loans)
amt_ins_cr_ml	numeric	Amount Of Institutional Credit Taken for ML (Medium Term Loans)
amt_ins_cr_ll	numeric	Amount Of Institutional Credit Taken for LL (Long- Term Loans given by Commercial Banks/Regional Rural Banks)
amt_ins_cr_tot	numeric	Total Amount Of Institutional Credit Taken
hol_n_cs	numeric	No. of Holdings Used Certified Seed
hol_n_nv	numeric	No. of Holdings Used Notified Seed
hol_n_hs	numeric	No. of Holdings Used Hybrid Seed

Column

Type

Label

Description

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_class

text

Farm size class

farm_size_category

text

Farm size category

net_ir_a

numeric

Net Irrigated Area

grs_ir_a

numeric

Gross Irrigated Area

unir_netunir_a

numeric

Net Unirrigated Area

unir_grsunir_a

numeric

Gross Unirrigated Area

oa_t

numeric

Total Operated Area

ctl_tn

numeric

Total Number of Cattle

bffl_tn

numeric

Total Number of Buffaloes

op_hol_tn

numeric

Total Number of Operational Holdings

es_oh_ins_cr

numeric

Estimated Number of Operational Holdings That Took Institutional Credit

oh_cr_pacs

numeric

No. of Operational Holdings That Took Credit From Primary Agricultural Credit Society (PACS)

oh_cr_pldb

numeric

No. of Operational Holdings That Took Credit From Primary Land Development Bank/Branch of SLDB (PLDB/SLDB)

oh_cr_cbb

numeric

No. of Operational Holdings That Took Credit From CBB (Commercial Bank Branch)

oh_cr_rrbb

numeric

No. of Operational Holdings That Took Credit From RRBB (Regional Rural Bank Branch)

amt_ins_cr_sl

numeric

Amount Of Institutional Credit Taken for SL (Short Term Loans)

amt_ins_cr_ml

numeric

Amount Of Institutional Credit Taken for ML (Medium Term Loans)

amt_ins_cr_ll

numeric

Amount Of Institutional Credit Taken for LL (Long- Term Loans given by Commercial Banks/Regional Rural Banks)

amt_ins_cr_tot

numeric

Total Amount Of Institutional Credit Taken

hol_n_cs

numeric

No. of Holdings Used Certified Seed

hol_n_nv

numeric

No. of Holdings Used Notified Seed

hol_n_hs

numeric

No. of Holdings Used Hybrid Seed

Additional Information

Field	Value
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	http://inputsurvey.dacnet.nic.in/
Data extraction page	http://inputsurvey.dacnet.nic.in/
Data insights	From marginal to large-scale operations, the Agricultural Inputs Consumption Survey Dataset for Himachal Pradesh offers a nuanced understanding of input consumption patterns. It provides detailed insights into irrigation practices, distinguishing between net and gross irrigated areas, as well as unirrigated sections, crucial for evaluating water resource utilization. The dataset also covers total operated area and livestock count, offering a comprehensive view of agricultural activities. Detailed information on credit usage, including sources like Primary Agricultural Credit Societies, Land Development Banks, and Commercial Banks, highlights the financial support system for operational holdings. Additionally, insights into seed adoption trends, including certified, notified, or hybrid varieties, enable informed decisions and the formulation of targeted agricultural policies to promote sustainability in Himachal Pradesh.
Data last updated	2015-16
Data retreival date	2018-19
Datastore active	True
District no	12
Frequency	Quinquennially
Granularity	District
Has views	True
Id	5c5ab50b-123c-4397-a587-57e354027a73
Idp ready	True
Methodology	The "Input Survey Composite" dataset, within the domain of Food and Agriculture, is collected and maintained by the Agricultural Census Division under the Department of Agriculture and Cooperation, Ministry of Agriculture. The data is gathered at the district level and is conducted on a quinquennial basis, meaning it occurs every five years. The methodology employed involves a comprehensive survey process wherein data pertaining to various aspects of food and agriculture within each district is systematically collected. This includes information on crop production, livestock, agricultural practices, and other relevant variables. The survey is likely to involve field visits, interviews, and possibly the use of specialized tools or technologies for data collection. The aim is to provide a detailed and accurate snapshot of the agricultural landscape in each district, enabling informed policy-making and resource allocation in the sector.
No indicators	20
Package id	c642cc06-44fa-486d-aeb0-f5942e2210a9
Position	1
Size	22.7 KiB
Sku	moafw-input_survey_noncrop-dt-qq-him
State	active
States uts no	1
Url type	upload
Years covered	2011-12
Methodology	The "Input Survey Composite" dataset, within the domain of Food and Agriculture, is collected and maintained by the Agricultural Census Division under the Department of Agriculture and Cooperation, Ministry of Agriculture. The data is gathered at the district level and is conducted on a quinquennial basis, meaning it occurs every five years. The methodology employed involves a comprehensive survey process wherein data pertaining to various aspects of food and agriculture within each district is systematically collected. This includes information on crop production, livestock, agricultural practices, and other relevant variables. The survey is likely to involve field visits, interviews, and possibly the use of specialized tools or technologies for data collection. The aim is to provide a detailed and accurate snapshot of the agricultural landscape in each district, enabling informed policy-making and resource allocation in the sector.
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_noncrop-dt-qq-him
Dataset Frequency	Quinquennially
Years Covered	2011-12
No of States/UT(s)	1
No of Districts	12
No of Tehsils/blocks
No of Gram Panchayats
Additional Information	http://inputsurvey.dacnet.nic.in/
Number of Indicators	20
Insights from the dataset	From marginal to large-scale operations, the Agricultural Inputs Consumption Survey Dataset for Himachal Pradesh offers a nuanced understanding of input consumption patterns. It provides detailed insights into irrigation practices, distinguishing between net and gross irrigated areas, as well as unirrigated sections, crucial for evaluating water resource utilization. The dataset also covers total operated area and livestock count, offering a comprehensive view of agricultural activities. Detailed information on credit usage, including sources like Primary Agricultural Credit Societies, Land Development Banks, and Commercial Banks, highlights the financial support system for operational holdings. Additionally, insights into seed adoption trends, including certified, notified, or hybrid varieties, enable informed decisions and the formulation of targeted agricultural policies to promote sustainability in Himachal Pradesh.
IDP Ready	Yes

Field

Value

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

http://inputsurvey.dacnet.nic.in/

Data extraction page

http://inputsurvey.dacnet.nic.in/

Data insights

From marginal to large-scale operations, the Agricultural Inputs Consumption Survey Dataset for Himachal Pradesh offers a nuanced understanding of input consumption patterns. It provides detailed insights into irrigation practices, distinguishing between net and gross irrigated areas, as well as unirrigated sections, crucial for evaluating water resource utilization. The dataset also covers total operated area and livestock count, offering a comprehensive view of agricultural activities. Detailed information on credit usage, including sources like Primary Agricultural Credit Societies, Land Development Banks, and Commercial Banks, highlights the financial support system for operational holdings. Additionally, insights into seed adoption trends, including certified, notified, or hybrid varieties, enable informed decisions and the formulation of targeted agricultural policies to promote sustainability in Himachal Pradesh.

Data last updated

2015-16

Data retreival date

2018-19

Datastore active

True

District no

Frequency

Quinquennially

Granularity

District

Has views

True

5c5ab50b-123c-4397-a587-57e354027a73

Idp ready

True

Methodology

The "Input Survey Composite" dataset, within the domain of Food and Agriculture, is collected and maintained by the Agricultural Census Division under the Department of Agriculture and Cooperation, Ministry of Agriculture. The data is gathered at the district level and is conducted on a quinquennial basis, meaning it occurs every five years. The methodology employed involves a comprehensive survey process wherein data pertaining to various aspects of food and agriculture within each district is systematically collected. This includes information on crop production, livestock, agricultural practices, and other relevant variables. The survey is likely to involve field visits, interviews, and possibly the use of specialized tools or technologies for data collection. The aim is to provide a detailed and accurate snapshot of the agricultural landscape in each district, enabling informed policy-making and resource allocation in the sector.

No indicators

Package id

c642cc06-44fa-486d-aeb0-f5942e2210a9

Position

Size

22.7 KiB

Sku

moafw-input_survey_noncrop-dt-qq-him

State

active

States uts no

Url type

upload

Years covered

2011-12

Methodology

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_noncrop-dt-qq-him

Dataset Frequency

Quinquennially

Years Covered

2011-12

No of States/UT(s)

No of Districts

No of Tehsils/blocks

No of Gram Panchayats

Additional Information

http://inputsurvey.dacnet.nic.in/

Number of Indicators

Insights from the dataset

IDP Ready

Yes

Input Survey - Non Crop

Embed resource view

Data Dictionary

Additional Information