Dataful Logo
search Logohamberger Logo
cross
DatasetsHFIs
Categoriesdown
Collectionschevron

Popular collections

See all collections
CatalogsSectors
Pricing
AI Toolsdown
GopieTagore AI
InsightsAnalysts PackFree Course
Sign in
Dataful Logo
DatasetsHFIs
Categoriesdown
Collectionschevron

Popular collections

See all collections
CatalogsSectors
Pricing
AI Toolsdown
GopieTagore AI
Insights
Datasets
Downloaded
0 out of 0close
dataful-logo

A Factly product.

  • FAQs
  • Mentions
  • Counting india
  • Who We Serve
  • About Us
  • Team
  • Contact Us
  • Terms and Conditions

© 2014-2025 Factly Media & Research. All rights reserved.

Filters

Clear All

Filter can only be applied on Datasets

Type
Organisation
Sector
Frequency

Tagore AIAI Results

AI-powered search results tailored to your query

Tagore AIContinue AI Search
  • Toll Plaza and Month-wise Value and Volume of Fastag Transactions
  • Year and Month wise percentage of the transaction processed within 2 minutes of the toll plaza transaction reader's read time

Search results for "nhai toll plaza" : 3 datasets

Datasets

State and Distrcit wise List of NHAI Fee (Toll) Plazas

HFIFree

Organisation

Ministry of Road Transport and Highways

Time Saved

2 hours

Granularity

State, District, NHAI Regional Office

Time Period

2025

Dataset Info

Black Spots: State and District wise locations of Black Spots on Roads managed by NHAI, NHIDCL, MoRTH (PWD NH), Border Roads Organization, State PWD Department and Other Offices

HFI

Organisation

Ministry of Road Transport and Highways

Time Saved

6 hours

Granularity

State, District, Date, Police Station

Time Period

2014 to 2025

Dataset Info

Trusted by 30,000+ registered users

With over 17,000+ clean, standardized datasets across 50+ sectors, Dataful makes it easy for researchers, analysts, and curious minds to explore official data without the hassle.
Trending
Banner Image

Year, State wise details of Fund Allocated and Utilized for Development of NHs

Organisation

Ministry of Road Transport and Highways

Time Saved

3 hours

Granularity

Year

Time Period

2013-14 to 2019-20

Dataset Info