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Traffic in India
We estimate that in this country, due to travelling to work/school, per passenger is produced yearly 1,415.08kg of CO2. It is needed 65.00 trees for each passenger to produce enough oxygen to cover that. Formulas used for this estimation
Main Means of Transportation to Work or School
| Working from Home | |
| Walking | |
| Car | |
| Bike | |
| Motorbike | |
| Bus/Trolleybus | |
| Tram/Streetcar | |
| Train/Metro |
Average when primary using Walking
| Distance | |
| Walking | |
| Waiting | |
| Driving Car | |
| Bike | |
| Motor Bike | |
| Bus/Trolleybus Ride | |
| Tram/Streetcat Ride | |
| Train/Metro Ride | |
| Overall |
Average when primary using Car
| Distance | |
| Walking | |
| Waiting | |
| Driving Car | |
| Bike | |
| Overall |
Average when primary using Bike
| Distance | |
| Walking | |
| Driving Car | |
| Bike | |
| Overall |
Average when primary using Motorbike
| Distance | |
| Walking | |
| Waiting | |
| Motor Bike | |
| Overall |
Average when primary using Bus/Trolleybus
| Distance | |
| Walking | |
| Waiting | |
| Driving Car | |
| Motor Bike | |
| Bus/Trolleybus Ride | |
| Tram/Streetcat Ride | |
| Train/Metro Ride | |
| Overall |
Average when primary using Tram/Streetcar
| Distance | |
| Walking | |
| Waiting | |
| Bus/Trolleybus Ride | |
| Tram/Streetcat Ride | |
| Train/Metro Ride | |
| Overall |
Average when primary using Train/Metro
| Distance | |
| Walking | |
| Waiting | |
| Bus/Trolleybus Ride | |
| Tram/Streetcat Ride | |
| Train/Metro Ride | |
| Overall |
Overall Average Travel Time and Distance to Work (School)
| Distance | |
| Overall |
Contributors: 1551
Last update: October 2018
These data are based on perceptions of visitors of this website in the past 3 years.
Our data for each country are based on all entries from all cities in that country.
By City in India
|
|
Rank |
City |
Traffic Index |
Time Index (in minutes) |
Time Exp. Index |
Inefficiency Index |
CO2 Emission Index |
|---|---|---|---|---|---|---|
| Kolkata | 291.47 | 61.90 | 18242.96 | 319.88 | 5870.77 | |
| Mumbai | 275.35 | 58.13 | 13625.92 | 284.55 | 6991.48 | |
| Delhi | 274.11 | 55.62 | 11002.85 | 305.58 | 9238.09 | |
| Bangalore | 248.34 | 53.09 | 8718.25 | 273.14 | 7283.94 | |
| Coimbatore | 230.61 | 52.47 | 8206.68 | 243.12 | 5177.79 | |
| Chennai | 200.69 | 47.35 | 4699.91 | 228.39 | 4854.43 | |
| Pune | 193.92 | 45.42 | 3684.53 | 215.73 | 5346.20 | |
| Hyderabad | 191.67 | 44.66 | 3328.32 | 206.29 | 5618.22 | |
| Gurgaon | 184.23 | 39.77 | 1548.61 | 240.70 | 8026.72 | |
| Ahmedabad | 163.30 | 41.36 | 2032.42 | 160.83 | 4118.49 | |
| Mangalore | 125.32 | 34.43 | 479.78 | 147.08 | 3233.38 |
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We would like to gather more data for:
Addanki, Adoni, Aizawl, Amritapuri, Angul, Arakkonam, Aravakurichi, Azamgarh, Balaghat, Balangir, Orissa, Banbassa, ... Update information for India!