VAHAN Vehicle Registrations by Fuel Type
The "VAHAN Vehicle Registrations by Fuel Type" dataset provides information about vehicle registrations in India, segmented by fuel type. It is a valuable resource for understanding the distribution of vehicles based on fuel types across different states and regional transport offices (RTOs). The dataset includes key variables such as the date of registration, state names, state codes, RTO names, RTO codes, fuel types (e.g., petrol, diesel, electric), vehicle categories (e.g., two-wheeler, four-wheeler), and the number of registrations. This dataset is essential for policymakers, transportation planners, and analysts interested in monitoring vehicle trends and environmental impact related to fuel usage in India.
Data Dictionary
- ID
- id
- Type
- int4
- Label
- index
- ID
- date
- Type
- date
- Label
- Date
- ID
- state_name
- Type
- text
- Label
- State Name
- ID
- state_code
- Type
- text
- Label
- State Code
- ID
- office_name
- Type
- text
- Label
- RTO Name
- ID
- office_code
- Type
- text
- Label
- RTO Code
- ID
- category
- Type
- text
- Label
- Category
- ID
- registrations
- Type
- numeric
- Label
- Registrations
Additional Information
Field | Value |
---|---|
Data last updated | August 28, 2024 |
Metadata last updated | August 28, 2024 |
Created | September 15, 2023 |
Format | CSV |
License | Open Data Commons Attribution License |
Additional info | nan |
Data extraction page | https://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml |
Data insights | The dataset enables users to extract valuable insights into vehicle registrations by fuel type in different states and RTOs in India. Key insights include: Fuel Type Distribution: Users can analyze the distribution of vehicles based on fuel types, providing insights into the prevalence of petrol, diesel, electric, or other fuel types. Regional Analysis: The dataset allows for regional analysis, including state-wise and RTO-wise breakdowns, enabling the identification of areas with specific vehicle trends. Environmental Impact: Users can assess the environmental impact by tracking registrations of eco-friendly vehicles, such as electric or hybrid cars, over time. |
Data last updated | Updated Monthly |
Data retreival date | 2024-06-27 00:00:00 |
Datastore active | True |
Frequency | Monthly |
Granularity | Regional Transport Office |
Has views | True |
Id | c9d109c7-8190-4a67-8166-0be1487db419 |
Idp ready | True |
Lgd mapping | yes |
Methodology | The dataset is sourced from the VAHAN system, which is the official vehicle registration database maintained by the Government of India. Data collection is automated through RTOs and represents a reliable and accurate source of vehicle registration information. |
Mimetype | text/csv |
No indicators | 1 |
Package id | 36ea3632-6ec7-43e6-8579-e8c80f7df640 |
Position | 2 |
Size | 33.8 MiB |
Sku | morth-vahan_reg_by_fuel-ol-mn-aaa |
State | active |
States uts no | 34 |
Tags | ['Motor Vehicles', 'Energy', 'Pollution', 'Climate Change\n Vehicle Registrations'] |
Url type | upload |
Years covered | 2019-2024 |
Methodology | The dataset is sourced from the VAHAN system, which is the official vehicle registration database maintained by the Government of India. Data collection is automated through RTOs and represents a reliable and accurate source of vehicle registration information. |
Indicators | |
Similar Resources | |
Granularity Level | Regional Transport Office |
Data Extraction Page | https://vahan.parivahan.gov.in/vahan4dashboard/vahan/dashboardview.xhtml |
Data Retreival Date | 2024-06-27 00:00:00 |
Data Last Updated | Updated Monthly |
Sku | morth-vahan_reg_by_fuel-ol-mn-aaa |
Dataset Frequency | Monthly |
Years Covered | 2019-2024 |
No of States/UT(s) | 34 |
No of Districts | |
No of Tehsils/blocks | |
No of Gram Panchayats | |
Additional Information | nan |
Number of Indicators | 1 |
Insights from the dataset | The dataset enables users to extract valuable insights into vehicle registrations by fuel type in different states and RTOs in India. Key insights include: Fuel Type Distribution: Users can analyze the distribution of vehicles based on fuel types, providing insights into the prevalence of petrol, diesel, electric, or other fuel types. Regional Analysis: The dataset allows for regional analysis, including state-wise and RTO-wise breakdowns, enabling the identification of areas with specific vehicle trends. Environmental Impact: Users can assess the environmental impact by tracking registrations of eco-friendly vehicles, such as electric or hybrid cars, over time. |
IDP Ready | Yes |
LGD Mapping | Yes |