Time difference between Bhawānipatna and Shanghai
Shanghai is 2 hours 30 minutes ahead of Bhawānipatna.
Local time in both cities
Bhawānipatna · India
02:09
Shanghai · China
04:39
Shanghai is 2 hours 30 minutes ahead of Bhawānipatna.
same day
Time zones
| Bhawānipatna | Asia/Kolkata · UTC+05:30 |
|---|---|
| Shanghai | Asia/Shanghai · UTC+08:00 |
Bhawānipatna does not observe daylight saving and stays on UTC+05:30 all year.
Shanghai does not observe daylight saving and stays on UTC+08:00 all year.
Hour-by-hour conversion
Calculated for 2026-09-22 local time in Bhawānipatna. The two places start and end daylight saving on different dates, so another day can give a different result.
| Bhawānipatna (source) | Shanghai (target) |
|---|---|
| 00:00 | 02:30 |
| 01:00 | 03:30 |
| 02:00 | 04:30 |
| 03:00 | 05:30 |
| 04:00 | 06:30 |
| 05:00 | 07:30 |
| 06:00 | 08:30 |
| 07:00 | 09:30 |
| 08:00 | 10:30 |
| 09:00 | 11:30 |
| 10:00 | 12:30 |
| 11:00 | 13:30 |
| 12:00 | 14:30 |
| 13:00 | 15:30 |
| 14:00 | 16:30 |
| 15:00 | 17:30 |
| 16:00 | 18:30 |
| 17:00 | 19:30 |
| 18:00 | 20:30 |
| 19:00 | 21:30 |
| 20:00 | 22:30 |
| 21:00 | 23:30 |
| 22:00 | 00:30 next day |
| 23:00 | 01:30 next day |
Other common differences from Bhawānipatna
FAQ
- How many hours apart are Bhawānipatna and Shanghai right now?
- The answer at the top of the page is calculated for the current moment and states which side is ahead. The gap changes during the year, because the two places usually start and end daylight saving on different dates.
- Is this difference the same all year?
- Not necessarily. Bhawānipatna uses Asia/Kolkata and Shanghai uses Asia/Shanghai; if either observes daylight saving, the gap shifts during the year. Use “Convert a specific date and time” below to calculate it for a given day.
- How do I read the conversion table?
- The left column lists each whole hour in Bhawānipatna; the right column is the local time in Shanghai at that same instant, with date rollovers marked. On the day clocks jump forward, some hours do not exist locally — the table says so instead of showing a plausible but wrong value.