Time difference between Beijing and Bhawānipatna
Bhawānipatna is 2 hours 30 minutes behind Beijing.
Local time in both cities
Beijing · China
07:00
ChinaBhawānipatna · India
04:30
IndiaBhawānipatna is 2 hours 30 minutes behind Beijing.
same day
Time zones
| Beijing | Asia/Shanghai · UTC+08:00 |
|---|---|
| Bhawānipatna | Asia/Kolkata · UTC+05:30 |
Beijing does not observe daylight saving and stays on UTC+08:00 all year.
Bhawānipatna does not observe daylight saving and stays on UTC+05:30 all year.
Hour-by-hour conversion
Calculated for 2026-09-22 local time in Beijing. The two places start and end daylight saving on different dates, so another day can give a different result.
| Beijing (source) | Bhawānipatna (target) |
|---|---|
| 00:00 | 21:30 prev day |
| 01:00 | 22:30 prev day |
| 02:00 | 23:30 prev day |
| 03:00 | 00:30 |
| 04:00 | 01:30 |
| 05:00 | 02:30 |
| 06:00 | 03:30 |
| 07:00 | 04:30 |
| 08:00 | 05:30 |
| 09:00 | 06:30 |
| 10:00 | 07:30 |
| 11:00 | 08:30 |
| 12:00 | 09:30 |
| 13:00 | 10:30 |
| 14:00 | 11:30 |
| 15:00 | 12:30 |
| 16:00 | 13:30 |
| 17:00 | 14:30 |
| 18:00 | 15:30 |
| 19:00 | 16:30 |
| 20:00 | 17:30 |
| 21:00 | 18:30 |
| 22:00 | 19:30 |
| 23:00 | 20:30 |
Other common differences from Beijing
FAQ
- How many hours apart are Beijing and Bhawānipatna 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. Beijing uses Asia/Shanghai and Bhawānipatna uses Asia/Kolkata; 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 Beijing; the right column is the local time in Bhawānipatna 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.