Time difference between Kānchrāpāra and Beijing
Beijing is 2 hours 30 minutes ahead of Kānchrāpāra.
Local time in both cities
Kānchrāpāra · India
23:29
IndiaBeijing · China
01:59
ChinaBeijing is 2 hours 30 minutes ahead of Kānchrāpāra.
already the next day
Time zones
| Kānchrāpāra | Asia/Kolkata · UTC+05:30 |
|---|---|
| Beijing | Asia/Shanghai · UTC+08:00 |
Kānchrāpāra does not observe daylight saving and stays on UTC+05:30 all year.
Beijing does not observe daylight saving and stays on UTC+08:00 all year.
Hour-by-hour conversion
Calculated for 2026-09-21 local time in Kānchrāpāra. The two places start and end daylight saving on different dates, so another day can give a different result.
| Kānchrāpāra (source) | Beijing (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 Kānchrāpāra
FAQ
- How many hours apart are Kānchrāpāra and Beijing 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. Kānchrāpāra uses Asia/Kolkata and Beijing 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 Kānchrāpāra; the right column is the local time in Beijing 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.