Railway Networks
The dataset includes information about railway networks in various states or union territories. It provides details such as the year of measurement, the name of the state or union territory, the LGD (Local Government Directory) code, aggregate route length, and the total length of railway tracks.
Data Dictionary
- ID
- id
- Typ
- numeric
- Etikett
- index
- ID
- year
- Typ
- text
- Etikett
- Year
- ID
- state_name
- Typ
- text
- Etikett
- Name of State/Union Territory
- ID
- state_code
- Typ
- text
- Etikett
- LGD code for respective State/UT
- ID
- route_length
- Typ
- numeric
- Etikett
- Aggregate length of Routes
- ID
- total_track
- Typ
- numeric
- Etikett
- Total length railway track
Mer information
| Fält | Värde |
|---|---|
| Data senast uppdaterad | 6 oktober 2023 |
| Metadata senast uppdaterad | 19 december 2025 |
| Skapad | 6 oktober 2023 |
| Format | CSV |
| Licens | Open Data Commons Attribution License |
| Data extraction page | Indian Railways Year Book |
| Data insights | Some general insights that can be drawn from dataset are:Trends Over Years: Analyzing the data over different years can reveal trends in the expansion or reduction of railway networks in different states.State-wise Comparison: Comparing the route lengths and total track lengths across different states can provide insights into the variations in railway infrastructure.Infrastructure Growth: Identifying the years with significant increases or decreases in route length and total track length can indicate periods of infrastructure growth or changes.Correlation Analysis: Exploring potential correlations between variables, such as route length and total track length, can offer insights into the relationship between different aspects of the railway network. |
| Data last updated | 2021-2022 |
| Data retreival date | 2023-10-03 00:00:00 |
| Datastore active | True |
| Frequency | Yearly |
| Geo columns | ['state_code'] |
| Granularity | State |
| Has views | True |
| Id | 016a905f-571b-4921-8001-8e2ad65e8557 |
| Idp ready | True |
| Lgd mapping | yes |
| Methodology | Indian Railways released information about railway network across different states as pdf |
| No indicators | 2 |
| Package id | 2a4e31c1-178d-4b14-94ce-a21c67d946e8 |
| Position | 0 |
| Size | 12,1 KiB |
| Sku | mor-railway_network_statistics-st-yr-aaa |
| State | active |
| States uts no | 31 |
| Url type | upload |
| Years covered | 2012-2022 |
| Methodology | Indian Railways released information about railway network across different states as pdf |
| Indicators | |
| 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-aaa |
| Dataset Frequency | Yearly |
| Years Covered | 2012-2022 |
| No of States/UT(s) | 31 |
| No of Districts | |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Mer information | |
| Number of Indicators | 2 |
| Insights from the dataset | Some general insights that can be drawn from dataset are:Trends Over Years: Analyzing the data over different years can reveal trends in the expansion or reduction of railway networks in different states.State-wise Comparison: Comparing the route lengths and total track lengths across different states can provide insights into the variations in railway infrastructure.Infrastructure Growth: Identifying the years with significant increases or decreases in route length and total track length can indicate periods of infrastructure growth or changes.Correlation Analysis: Exploring potential correlations between variables, such as route length and total track length, can offer insights into the relationship between different aspects of the railway network. |
| IDP Ready | Yes |
| LGD Mapping | Yes |
| Mapping Status % | |
| Geo Columns | ['state_code'] |