Data Dictionary

Column Type Label Description
id int4 index
state_name text State
state_code text State Code
district_name text District
district_code text District Code
subdistrict_name text Sub-District
subdistrict_code text Sub-District Code
cluster_name text Cluster
village_name text Village
udise_village_code text UDISE Village Code
pincode text Pincode
ward text Ward
school_name text School Name
udise_school_code text School Code
school_category text School Category
school_type text School Type
management text Management
year_of_establishment text Year of Establishment
longitude numeric Longitude
latitude numeric Latitude
status text Status
location_type text Location Type
class_from numeric Class From
class_to numeric Class To
aff_board_sec text Affiliation Board for Secondary Education
aff_board_h_sec text Affiliation Board for Higher Secondary Education
pre_primary numeric Pre Primary Rooms
class_rooms numeric Class Rooms
other_rooms numeric Other Rooms
total_teachers numeric Teachers
pre_primary_students numeric Pre Primary Students
i_students numeric Students in Class I
ii_students numeric Students in Class II
iii_students numeric Students in Class III
iv_students numeric Students in Class IV
v_students numeric Students in Class V
vi_students numeric Students in Class VI
vii_students numeric Students in Class VII
viii_students numeric Students in Class VIII
ix_students numeric Students in Class IX
x_students numeric Students in Class X
xi_students numeric Students in Class XI
xii_students numeric Students in Class XII
class_students numeric Non Primary Students
class_with_pre_primary_students numeric Total Students

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 infonan
Data extraction pagehttps://src.udiseplus.gov.in/locateSchool/schoolSearch
Data insightsUDISE data of Himachal Pradesh, insights reveal trends in student enrollment, highlighting shifts in educational demand and demographics. Analysis of school infrastructure exposes deficiencies in facilities like classrooms and sanitation, guiding targeted improvements. Teacher deployment data underscores disparities in staffing and qualifications across regions, informing strategies for equitable resource allocation and professional development. Performance metrics such as dropout rates and academic achievement levels provide a snapshot of educational effectiveness and areas needing attention. These insights enable policymakers to optimize educational planning, enhance quality, and ensure equitable access to education throughout Himachal Pradesh.
Data last updatednan
Data retreival date2022-01-12 00:00:00
Datastore activeTrue
District no12
FrequencyBiannually
GranularityPoint
Has viewsTrue
Id28105a04-1a98-49bf-acea-ddba1aa3bcb8
Idp readyTrue
MethodologyUDISE collects data for schools, teachers, enrolment, and vocational education as per the Data Capture Format (DCF), which is a standardized format developed by the Ministry of Education, Government of India.
No indicators21
Package idd57f0577-0004-4960-b54d-29403fd08264
Position0
Size5.2 MiB
Skumoe-udise_basic_details-pl-ot-him
Stateactive
States uts no1
Tehsil no50
Url typeupload
Years coverednan
Methodology UDISE collects data for schools, teachers, enrolment, and vocational education as per the Data Capture Format (DCF), which is a standardized format developed by the Ministry of Education, Government of India.
Similar Resources
Granularity Level Point
Data Extraction Page https://src.udiseplus.gov.in/locateSchool/schoolSearch
Data Retreival Date 2022-01-12 00:00:00
Data Last Updated nan
Sku moe-udise_basic_details-pl-ot-him
Dataset Frequency Biannually
Years Covered nan
No of States/UT(s) 1
No of Districts 12
No of Tehsils/blocks 50
No of Gram Panchayats
Additional Information nan
Number of Indicators 21
Insights from the dataset UDISE data of Himachal Pradesh, insights reveal trends in student enrollment, highlighting shifts in educational demand and demographics. Analysis of school infrastructure exposes deficiencies in facilities like classrooms and sanitation, guiding targeted improvements. Teacher deployment data underscores disparities in staffing and qualifications across regions, informing strategies for equitable resource allocation and professional development. Performance metrics such as dropout rates and academic achievement levels provide a snapshot of educational effectiveness and areas needing attention. These insights enable policymakers to optimize educational planning, enhance quality, and ensure equitable access to education throughout Himachal Pradesh.
IDP Ready Yes