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 December 3, 2024
Metadata last updated December 3, 2024
Created unknown
Format CSV
License Open Data Commons Attribution License
Created2 months ago
FrequencyBiannually
Size5,003,886
Additional infonan
Data extraction pagehttps://src.udiseplus.gov.in/locateSchool/schoolSearch
Data insights1. The dataset allows for comparisons of primary education enrollment rates across states, identifying those with the highest and lowest rates, providing insights into educational accessibility and potential areas for targeted interventions to improve enrollment.2. By analyzing the average student-teacher ratio in secondary schools across India, the data can offer insights into the distribution of educational resources, helping to identify regions where there may be a need for additional teaching support or infrastructure development.3. The dataset enables an assessment of how the literacy rate of a state correlates with the quality of education, offering valuable insights into the potential impact of literacy on educational outcomes and highlighting areas where additional support may be required to enhance the quality of education.
Data last updatednan
Data retreival date2022-01-12 00:00:00
Datastore activeTrue
District no11
GranularityPoint
Has viewsTrue
Id456640ef-760e-4c43-ac5e-8985fd01c1c3
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 id38a286aa-95dc-4c19-bafb-a08f57f6d7cf
Position0
Skumoe-udise_basic_details-pl-ot-meg
Stateactive
States uts no1
Tehsil no46
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-meg
Dataset Frequency
Years Covered nan
No of States/UT(s) 1
No of Districts 11
No of Tehsils/blocks 46
No of Gram Panchayats
Additional Information nan
Number of Indicators 21
Insights from the dataset 1. The dataset allows for comparisons of primary education enrollment rates across states, identifying those with the highest and lowest rates, providing insights into educational accessibility and potential areas for targeted interventions to improve enrollment.2. By analyzing the average student-teacher ratio in secondary schools across India, the data can offer insights into the distribution of educational resources, helping to identify regions where there may be a need for additional teaching support or infrastructure development.3. The dataset enables an assessment of how the literacy rate of a state correlates with the quality of education, offering valuable insights into the potential impact of literacy on educational outcomes and highlighting areas where additional support may be required to enhance the quality of education.
IDP Ready Yes