Time difference between Nakhon Pathom and Paris
Paris is 5 hours behind Nakhon Pathom.
Local time in both cities
Nakhon Pathom · Thailand
07:45
Paris · France
02:45
Paris is 5 hours behind Nakhon Pathom.
same day
Time zones
| Nakhon Pathom | Asia/Bangkok · UTC+07:00 |
|---|---|
| Paris | Europe/Paris · UTC+02:00 |
Nakhon Pathom does not observe daylight saving and stays on UTC+07:00 all year.
Paris is currently on daylight saving time (UTC+02:00). Next change: 2026-10-25 02:00.
Hour-by-hour conversion
Calculated for 2026-09-21 local time in Nakhon Pathom. The two places start and end daylight saving on different dates, so another day can give a different result.
| Nakhon Pathom (source) | Paris (target) |
|---|---|
| 00:00 | 19:00 prev day |
| 01:00 | 20:00 prev day |
| 02:00 | 21:00 prev day |
| 03:00 | 22:00 prev day |
| 04:00 | 23:00 prev day |
| 05:00 | 00:00 |
| 06:00 | 01:00 |
| 07:00 | 02:00 |
| 08:00 | 03:00 |
| 09:00 | 04:00 |
| 10:00 | 05:00 |
| 11:00 | 06:00 |
| 12:00 | 07:00 |
| 13:00 | 08:00 |
| 14:00 | 09:00 |
| 15:00 | 10:00 |
| 16:00 | 11:00 |
| 17:00 | 12:00 |
| 18:00 | 13:00 |
| 19:00 | 14:00 |
| 20:00 | 15:00 |
| 21:00 | 16:00 |
| 22:00 | 17:00 |
| 23:00 | 18:00 |
Other common differences from Nakhon Pathom
FAQ
- How many hours apart are Nakhon Pathom and Paris 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. Nakhon Pathom uses Asia/Bangkok and Paris uses Europe/Paris; 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 Nakhon Pathom; the right column is the local time in Paris 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.