Data Dictionary

Column Type Label Description
id int4 index
year text Year Decade Wise
indicators text Indicators for land use
percentage numeric Percentage

Additional Information

Field Value
Data last updated December 21, 2023
Metadata last updated June 25, 2024
Created December 21, 2023
Format CSV
License No License Provided
Additional infoData is available at website page in Statistical data > IMPORTANT STATISTICS OF HIMACHAL PRADESH 2021-22
Data extraction pagehttps://himachalservices.nic.in/economics/pdf/Important%20Statistics%202021-22.pdf
Data insightsThe percentage of total cropped area as a percentage of net area sown has been steadily increasing over the years, from 157.5% in 1950-51 to 172.73% in 2010-11, before declining slightly to 168.16% in 2019-20.Net area sown as a percentage of total cultivated area has fluctuated over the years, with a peak of 94.6% in 1960-61 and a low of 86.95% in 2019-20.Net area sown as a percentage of reporting area has decreased steadily over the years, from 28.6% in 1950-51 to 11.59% in 2019-20.Net irrigated area as a percentage of net area sown has shown an increasing trend over the years, with a peak of 22.3% in 2000-01 and a low of 14.2% in 1960-61.
Data last updated2,020
Data retreival date2,023
Datastore activeTrue
FrequencyDecade
GranularityState
Has viewsTrue
Id88762fba-97ab-4419-99a5-398ec1a3971e
Idp readyTrue
Methodologyinvolves a combination of remote sensing and field surveys. Remote sensing data, such as satellite imagery, is used to identify and classify different land use types at a larger scale, such as state or district level. Field surveys are then conducted to validate and refine the remote sensing data and to collect more detailed information on land use at a local level.
No indicators1
Package idd2c0ce9c-35a5-4312-a837-3b7167fda7b1
Position0
Size1.9 KiB
Skulanduse_indicators_himachal_pradesh
Stateactive
States uts no1
Url typeupload
Years covered1950-51 to 2019-20
Methodology involves a combination of remote sensing and field surveys. Remote sensing data, such as satellite imagery, is used to identify and classify different land use types at a larger scale, such as state or district level. Field surveys are then conducted to validate and refine the remote sensing data and to collect more detailed information on land use at a local level.
Similar Resources
Granularity Level State
Data Extraction Page https://himachalservices.nic.in/economics/pdf/Important%20Statistics%202021-22.pdf
Data Retreival Date 2023
Data Last Updated 2020
Sku landuse_indicators_himachal_pradesh
Dataset Frequency Decade
Years Covered 1950-51 to 2019-20
No of States/UT(s) 1
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information Data is available at website page in Statistical data > IMPORTANT STATISTICS OF HIMACHAL PRADESH 2021-22
Number of Indicators 1
Insights from the dataset The percentage of total cropped area as a percentage of net area sown has been steadily increasing over the years, from 157.5% in 1950-51 to 172.73% in 2010-11, before declining slightly to 168.16% in 2019-20.Net area sown as a percentage of total cultivated area has fluctuated over the years, with a peak of 94.6% in 1960-61 and a low of 86.95% in 2019-20.Net area sown as a percentage of reporting area has decreased steadily over the years, from 28.6% in 1950-51 to 11.59% in 2019-20.Net irrigated area as a percentage of net area sown has shown an increasing trend over the years, with a peak of 22.3% in 2000-01 and a low of 14.2% in 1960-61.
IDP Ready Yes