Rach Gia climate: monthly averages: annual mean temperature 27.9 C; warmest month Apr (30.4 C); coldest month Dec (26.2 C).
Annual mean temperature: 27.9 C
Warmest month: Apr (30.4 C)
Coldest month: Dec (26.2 C)
Wettest month: Sep (7.90 mm/day)
All-time record high: 39.9 C
All-time record low: 17.7 C
This is the short version of Rach Gia climate: monthly averages, with the monthly detail underneath. The gap between Dec and Apr is 4.2 C here: 26.2 C against 30.4 C. No month dominates: the wettest is Sep at 7.90 mm/day, the driest Feb at 0.39 mm/day. Taken together that is roughly 1,470 mm of rain a year for the grid cell. The same build that regenerates the sitemap refreshes these values, and unchanged pages are left untouched. Scroll for the month-by-month figures, or jump to a neighbouring location from the links below.
Annual mean temperature 27.9 C
Warmest month Apr (30.4 C)
Coldest month Dec (26.2 C)
Wettest month Sep (7.90 mm/day)
All-time record high 39.9 C
All-time record low 17.7 C
Annual precipitation 1,475 mm / year
Coordinates 10.01245, 105.08091
Population 459,860
Average monthly temperature and rainfall in Rach Gia
Month
Mean temp (C)
Rain (mm/day)
Record high (C)
Record low (C)
Jan
26.6
0.66
36.0
17.7
Feb
28.2
0.39
38.4
18.9
Mar
29.7
0.90
39.1
21.1
Apr
30.4
1.97
39.8
23.5
May
29.4
4.59
39.9
25.0
Jun
28.1
7.03
35.9
24.8
Jul
27.5
6.89
32.5
24.8
Aug
27.2
6.61
32.6
24.5
Sep
27.1
7.90
31.8
23.9
Oct
27.0
6.20
32.0
21.7
Nov
26.7
3.88
32.8
19.4
Dec
26.2
1.32
33.6
17.7
What the Rach Gia climate table shows
Values are multi-decadal climatological averages for the 10.01245, 105.08091 grid cell, not a single year. Rain is the daily mean, so a value of 2.00 mm/day is about 60 mm across a 30-day month. Averages smooth over extremes, so use them for planning rather than for what to pack for next Tuesday.
Frequently asked questions
Is Rach climate data a forecast?
No. These are multi-decadal averages for the grid cell, not a prediction for any particular year.
Why do the numbers differ from a weather app?
An app shows one location on one day. These are long-run averages, so they smooth out single hot or cold spells.