Data Dictionary

Column Type Label Description
state_name text Name of State
state_code text LGD Code of States
district_name text Name of District
district_code text LGD Code of District
year text Year
indicator text Indicator for enrollment for higher studies or technical studies
enroll_cls_11_12 numeric Number of enrollments for classes 11 and 12
gross_enroll_ratio numeric Ratio of enrolled students to the total population aged 16-17
total_pop_age_16_17 numeric Total population aged 16-17
id int4

Additional Information

Field Value
Data last updated August 11, 2023
Metadata last updated August 11, 2023
Created June 23, 2023
Format CSV
License No License Provided
Additional infonan
Data insightsSome potential insights that could be derived from the data: gross enrollment ratios for different indicators, compare enrollments for classes 11 and 12 across districts and years, and explore the relationship between enrollments and the total population aged 16-17.
Data last updatednan
Data retreival date2,023
Datastore activeTrue
District no12
FrequencyYearly
GranularityDistrict
Has viewsTrue
Id90dd982d-0616-4c93-9d45-24c103e5a190
Idp readyFalse
Mimetypetext/csv
No indicators3
Package id23546252-cb53-4845-ad57-d6bfe6c2f7a9
Position1
Size3.3 KiB
Stateactive
States uts no1
Url typeupload
Years covered2018-2020
Methodology
Similar Resources
Granularity Level District
Data Extraction Page
Data Retreival Date 2023
Data Last Updated nan
Sku
Dataset Frequency Yearly
Years Covered 2018-2020
No of States/UT(s) 1
No of Districts 12
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 3
Insights from the dataset Some potential insights that could be derived from the data: gross enrollment ratios for different indicators, compare enrollments for classes 11 and 12 across districts and years, and explore the relationship between enrollments and the total population aged 16-17.
IDP Ready No