Data Dictionary

Column Type Label Description
id int4 index
year text Year
state_name text Name of State/Union Territory
state_code text LGD code for respective State/UT
route_length numeric Aggregate length of Routes
total_track numeric Total length railway track

Additional Information

Field Value
Data last updated June 5, 2024
Metadata last updated June 5, 2024
Created unknown
Format CSV
License No License Provided
Created5 months ago
FrequencyYearly
Size396
Additional infonan
Data extraction pageIndian Railways Year Book
Data insightsInsights that can be derived from the railway network data for Meghalaya include analyzing trends over different years to understand the expansion or reduction of railway networks, comparing infrastructure across states to identify variations, pinpointing periods of significant infrastructure growth or changes, and exploring potential correlations between variables such as route length and total track length to gain insights into the railway network's dynamics.
Data last updated2021-2022
Data retreival date2023-10-03 00:00:00
Datastore activeTrue
GranularityState
Has viewsTrue
Id44a42189-9911-4170-9982-803c81147186
Idp readyTrue
MethodologyIndian Railways released information about railway network across different states as pdf
No indicators2
Package id0fd1b2f9-75a3-4ad6-8fa1-4e34b2116092
Position0
Skumor-railway_network_statistics-st-yr-meg
Stateactive
States uts no1
Url typeupload
Years covered2012-2022
Methodology Indian Railways released information about railway network across different states as pdf
Similar Resources
Granularity Level State
Data Extraction Page Indian Railways Year Book
Data Retreival Date 2023-10-03 00:00:00
Data Last Updated 2021-2022
Sku mor-railway_network_statistics-st-yr-meg
Dataset Frequency
Years Covered 2012-2022
No of States/UT(s) 1
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 2
Insights from the dataset Insights that can be derived from the railway network data for Meghalaya include analyzing trends over different years to understand the expansion or reduction of railway networks, comparing infrastructure across states to identify variations, pinpointing periods of significant infrastructure growth or changes, and exploring potential correlations between variables such as route length and total track length to gain insights into the railway network's dynamics.
IDP Ready Yes