Palembang Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Palembang Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	24.012500000000003	22.8		29.675	30.2
	24.04375	23.1		30.45625	28.5
	24.137500000000003	22.5		30.8625	25.7
	24.224999999999994	21.7		30.2125	29.4
	24.075	22.6		30.50625	30.8
	24.287499999999998	23.1		30.424999999999997	30.8
	24.318749999999998	23.2		30.800000000000004	32.4
	24.281249999999996	23.6		30.49375	29.6
	23.956249999999997	23		29.987499999999997	26.9
	23.862500000000004	22.8		29.83125	27
	23.918750000000003	22.6		30.16875	29.6
	23.90625	22.1		30.018750000000004	30.1
	23.781249999999996	22.4		30.075	31
	23.68125	22.4		29.7625	29.8
Jan.	23.76875	22.8		29.95	32
	23.862499999999997	22.6		30.375	29.8
	23.974999999999998	22.7		29.943749999999998	29.4
	23.818749999999994	23		29.981249999999996	28
	23.793750000000003	22.1		29.75625	29.4
	23.825000000000003	22.1		30.200000000000003	30.4
	23.8875	22.6		30.487499999999997	29.5
	23.881249999999998	22.7		30.2	29.5
	23.9125	22.3		30.6	28.3
	23.975	21.8		30.174999999999994	31.2
	23.875	22.2		29.868750000000002	31.8
	23.662499999999998	22.7		30.006250000000005	31.4
	23.7375	22.5		30.512500000000003	31.2
	23.900000000000002	22.5		30.237500000000004	29.9
	23.775000000000002	22.4		30.281249999999993	29.9
	23.68125	22.8		30.518750000000004	28.7
	23.7625	22.5		30.20625	27.6
	23.974999999999998	22.8		30.23125	29.1
	23.89375	22.3		30.643750000000004	29.1
	23.799999999999997	22.3		30.21875	30.1
	23.76875	22.2		30.381249999999998	29.6
	23.787499999999998	23		30.187499999999996	29.7
	23.8	23.1		29.96875	25.7
	23.75625	23.2		30.612500000000004	30.2
	23.962500000000002	23.2		30.675	29.7
	23.831250000000004	22.5		30.18124999999999	28.8
	23.80625	22.2		30.450000000000003	30.9
	23.90625	22.9		31.18124999999999	32.9
	23.837500000000002	23		30.63125	30.9
	24.0125	22.1		30.943749999999998	27.6
	24.031249999999996	22.8		30.50625	31.9
Feb.	23.900000000000002	23.2		30.362499999999997	28.4
	23.912500000000005	23.1		30.156249999999996	31.1
	23.85625	23.6		30.006250000000005	28.4
	23.83125	22.6		30.668750000000003	27.4
	23.825000000000003	23.7		30.40625	29.1
	23.8375	22.2		30.3375	30.6
	23.7625	23		30.14375	33.3
	23.787499999999998	23.1		30.531249999999996	31.8
	23.881249999999998	23.1		30.74375	31.6
	23.862500000000004	23		30.70625	30.4
	23.850000000000005	23.3		30.750000000000004	31.8
	23.83125	23.6		31.068749999999998	34.3
	24.006249999999994	22.7		31.01875	34
	23.974999999999998	23.3		30.7125	34.2
	23.96875	24		31.012499999999996	33.6
	23.981250000000003	24.1		31.187499999999996	32.4
	24.10625	23.8		31.243750000000002	35.6
	23.968749999999996	23.6		30.975	31.2
	23.81875	23.2		30.56875	31.4
	23.80625	23.4		30.606249999999996	29.9
	23.624999999999996	23.1		30.8875	29.7
	24.087500000000006	22.6		31.056250000000002	32.3
	24.075000000000006	22.8		30.3875	33.4
	23.912499999999994	22.7		30.5625	32.8
	23.81875	22.3		30.9625	34.4
	23.825000000000006	22.5		30.299999999999997	33.8
	23.624999999999996	22.7		31.224999999999998	33.2
	23.74375	22.5		31.0625	29.1
Mar.	23.943749999999994	22.7		30.999999999999996	31.2
	24	22.4		31.4	31.5
	24.025	22.5		30.556250000000002	31.1
	23.9125	22.6		31.25	32.2
	24.0375	23.1		31.006249999999998	30.3
	23.775	22.8		31.081250000000004	29.9
	23.69375	22.8		30.906249999999996	30.2
	23.76875	22.9		31.099999999999998	29.2
	23.93125	22.6		31.4	31.2
	23.943749999999998	22.6		30.949999999999996	31.8
	24.118749999999995	23		31.337500000000002	30.8
	23.91875	22.8		30.774999999999995	31.3
	24.0375	23.1		30.975	30.4
	24.1	23.2		31.612499999999994	32.5
	24.0625	23.5		31.124999999999996	29.8
	24.05	23.2		31.131249999999998	30.2
	24.13125	22.2		31.54375	32.7
	23.99375	23.8		31.224999999999998	30.8
	24.09375	23.3		31.18125	33.9
	24.068749999999998	24.1		31.168749999999996	33.9
	24.075	23.3		30.612500000000004	33.5
	24.087499999999995	23.4		31.125	32.3
	24.037499999999998	23.7		30.625	29.1
	23.950000000000003	23.2		30.475	33.2
	24.075000000000003	23.6		31.375	31.7
	24.025000000000006	23.3		30.768749999999994	33.3
	24.03125	23.8		31.175	29.7
	24.106249999999996	23.8		31.243749999999995	31.4
	24.075000000000006	23.9		31.168749999999996	31.7
	24.025	24.2		30.887499999999996	33.4
	24.04375	23.6		31.381249999999998	32.6
Apr.	24.175	23		30.93125	30.1
	24.14375	23.4		31.225	31.8
	23.956249999999997	23.4		31.381249999999998	33.7
	24.018749999999997	23.7		31.21875	31.8
	24.137499999999996	23.4		31.65625	31.4
	24.18125	23.5		31.212499999999995	31.7
	24.181250000000006	22.8		31.55625	33.3
	24.1375	23.3		30.9875	34.3
	24.281249999999996	23.4		31.6375	28.4
	24.174999999999997	23.7		31.725	32.2
	24.30625	23.8		31.074999999999996	31.6
	24.0875	23.1		31.318749999999998	33.7
	24.15	23.8		31.0875	33.4
	24.25	24.2		31.5	34.9
	24.224999999999998	23.6		31.6125	32.2
	24.275	23.7		31.7125	33.6
	24.1875	23.8		31.1125	33
	24.193749999999998	23.7		31.8375	32.6
	24.168750000000003	23.3		31.431249999999995	30.3
	24.35625	23.5		31.025	31.8
	24.4375	24.1		31.6875	31.4
	24.337500000000002	23.8		31.475000000000005	30.4
	24.35	23.5		31.6375	30.6
	24.4375	23		31.537500000000005	32.5
	24.31875	23.6		32.087500000000006	30.7
	24.462500000000006	23.3		32.256249999999994	31.9
	24.543749999999996	23.6		32.243750000000006	31.8
	24.3375	23.5		31.7875	31.4
	24.44375	23.8		31.318749999999998	30.5
	24.374999999999996	23.6		31.4125	29.1
May	24.356249999999992	23.8		31.09375	31.4
	24.18125	23.3		31.874999999999993	27.1
	24.387499999999996	23.3		31.281249999999993	27.5
	24.250000000000004	23.4		31.462500000000006	33.5
	24.06875	23.6		31.4375	34.1
	24.2	24		31.275000000000002	31.2
	24.250000000000004	23.7		31.6375	29.3
	24.06875	23.2		31.574999999999996	32.2
	24.143749999999997	23.6		31.318749999999998	33.2
	24.243750000000002	23.6		31.750000000000004	32
	24.2375	22.7		31.543749999999992	31.5
	24.193750000000005	23		30.962500000000002	33
	24.231250000000003	23.6		31.237500000000004	33.2
	24.237499999999997	23.3		30.575000000000003	33.6
	24.168750000000003	22.9		31.387499999999996	33.1
	24.212500000000006	22.5		31.6875	32.9
	24.099999999999998	22.8		31.531250000000004	33.7
	23.937499999999996	22.7		31.29375	32.8
	24.19375	23.2		31.45	34.1
	24	23.4		31.625000000000007	32.8
	24.23125	23.6		31.406249999999996	33.3
	24.206250000000004	23.8		31.381249999999998	34.6
	24.175	24		31.449999999999996	33.2
	24	23.2		31.524999999999995	34.3
	24.087500000000002	23.5		31.30625	30.6
	24.0125	23.9		31.65	28.9
	23.987499999999997	23.3		31.943749999999998	31.3
	24.118750000000002	22.9		31.581250000000004	33.7
	23.98125	22.6		31.712499999999995	33.6
	23.99375	22.1		31.081249999999997	32.4
	24.050000000000004	23.2		30.737499999999994	30.6
Jun.	23.887500000000003	23.4		31.237499999999997	30.9
	23.73125	22.8		31.037499999999994	32.1
	23.631249999999998	23		31.04375	32.9
	23.662500000000005	22.3		31.174999999999997	33.7
	23.393750000000004	23		29.887500000000003	30.6
	23.40625	23		30.831249999999994	32.7
	23.39375	22.9		31.175000000000004	32.7
	23.743750000000002	22.8		31.1625	32.8
	23.59375	22.6		30.874999999999996	33.1
	23.481250000000003	22.8		30.3625	32.6
	23.406249999999993	22.7		30.981250000000003	32.6
	23.39375	22.8		30.806249999999995	34
	23.281250000000004	23.2		31.475	32.3
	23.637500000000003	23.3		30.606250000000003	33.4
	23.3875	23.3		31.131250000000005	31.4
	23.28125	22.7		30.774999999999995	33.9
	23.374999999999996	22.6		31.18125	33.8
	23.03125	22.3		30.9875	32.9
	23.28125	22.9		30.949999999999996	32.4
	23.14375	22.6		31.449999999999996	34.1
	23.275000000000002	22.4		30.99375	34
	23.181250000000002	22.2		30.40625	34.2
	23.256250000000005	22.9		31.46875	35.4
	23.4625	22.9		30.56875	32.7
	23.38125	22.8		31.193749999999998	33.1
	23.275	21.6		30.83125	33.6
	23.306250000000002	22		30.562499999999996	34.1
	23.16875	21.4		30.956249999999997	33.3
	23.200000000000003	21.8		30.537499999999998	34.2
	23.04375	22		30.925	33.1
Jul.	22.9375	21.6		30.6875	35.5
	23.03125	22		30.75	34.7
	23.187499999999996	22.5		31.2375	36
	23.175000000000004	22.2		31.043749999999996	36.7
	23.16875	22.8		31.599999999999998	33.1
	23.306250000000006	22.4		31.387499999999996	34.2
	23.281250000000004	22.6		31.093750000000004	34.1
	23.275	22.7		31.66250000000001	34
	23.093750000000004	22.2		32.08125	33
	23.075000000000003	22.8		31.7375	32.2
	23.05	21.7		31.41875	32.1
	22.95	21.3		31.687500000000004	30
	22.9125	21.5		32.112500000000004	34.6
	22.962499999999995	21.7		31.974999999999998	34.1
	23.15625	22.2		31.9375	33.8
	23.1625	22.2		31.975	34.2
	23.1625	23.1		32.268750000000004	34.8
	23.075	22.8		32.04375	35.6
	23.04375	22.6		31.95	37.6
	23.025	23		32.112500000000004	36.8
	23.218750000000004	22.1		31.93125	37
	23.1875	22.7		31.8625	36.6
	23.099999999999998	22.6		31.80625	37.2
	23.2	22.5		32.225	36.3
	23.2	22		32.28124999999999	36.5
	23.4375	21.2		32.29375	37.2
	23.381249999999998	21.3		32.43125	36.5
	23.387500000000003	21.3		32.625	36.5
	23.499999999999996	21.8		32.74375	36.8
	23.606250000000003	21		31.718750000000004	37.8
	23.493750000000002	21.3		31.85625	37
Aug.	23.187500000000004	22.5		32.16875	37.5
	23.10625		24	31.656249999999996		36.9
	23.28125		22.7	32.0875		36.8
	23.425		22.2	31.968750000000007		37.4
	23.281249999999996		22.8	32.20625		37.2
	23.399999999999995		23	32.181250000000006		35.5
	23.343750000000004		22.6	32.206250000000004		37
	23.187499999999996		22.8	32.45000000000001		37.2
	23.26875		22.6	32.3375		37.2
	23.31875		23.4	32.512499999999996		32.1
	23.381249999999998		23.3	32.125		32.3
	23.237499999999997		23.3	32.89375		32.8
	23.306250000000002		23.1	32.6125		32.3
	23.106249999999996		23.2	32.44375		32.2
	23.318749999999998		23.5	31.581250000000004		31.5
	23.224999999999998		23.3	32.137499999999996		32.2
	23.2375		23.2	32.2875		32.5
	23.187499999999996		23.1	32.293749999999996		32.6
	23.224999999999998		23.2	32.84375000000001		32.9
	23.206249999999994		23.2	33.0875		32.9
	23.193749999999998		23.2	32.987500000000004		33
	23.193749999999998		23.3	32.650000000000006		32.9
	23.45625		23.5	32.38125		32.4
	23.437500000000004		23.4	32.63125		32.7
	23.368750000000006		23.4	32.6125		32.4
	23.35		23.5	32.51875		32.2
	23.38125		23.3	32.29375		32.3
	23.21875		23.3	32.23125		32.5
	23.4375		23.4	32.587500000000006		32.6
	23.162499999999998		23.2	32.49375		32.8
	23.318749999999998		23.4	32.80625		32.9
Sep.	23.2625		23.3	33.224999999999994		33.2
	23.475			32.90625
	23.70625			32.618750000000006
	23.625000000000004			32.81875
	23.68125			32.74374999999999
	23.55625			32.5375
	23.61875			32.45
	23.35625			33.21875
	23.574999999999996			33.118750000000006
	23.75625			33.293749999999996
	23.650000000000006			33.25
	23.768749999999997			33.3125
	23.737499999999997			33.068749999999994
	23.650000000000002			33.2375
	23.88125			33.34375
	23.737499999999997			33.23125
	23.95			33.181250000000006
	23.90625			32.8875
	23.999999999999996			32.7125
	23.993750000000002			33.21875
	23.9125			33.293749999999996
	23.868750000000006			32.41875
	23.96249999999999			32.537499999999994
	23.7125			32.68125
	23.800000000000004			32.675
	23.84375			33.4
	24.03125			33.26875
	23.95			33.362500000000004
	24.043749999999996			32.300000000000004
	24.04375			33.66875
Oct.	24.11875			33.575
	24.08125			33.5875
	24.3875			33.64375
	24.325			33.2
	23.968749999999996			33.4
	24.274999999999995			33.05625
	24.33125			32.300000000000004
	24.28125			32.275
	24.337500000000002			32.7875
	24.325			32.800000000000004
	24.406250000000004			32.3375
	24.0875			32.2375
	24.175			32.55625
	24.156249999999996			32.28125
	24.218749999999996			32.512499999999996
	24.187499999999996			32.66250000000001
	24.34375			32.743750000000006
	24.593749999999996			32.95
	24.299999999999997			32.3375
	24.27499999999999			32.50625
	24.25			31.575000000000003
	24.231249999999996			31.337500000000006
	24.212500000000002			31.531250000000004
	24.243750000000002			31.431250000000002
	24.20625			31.956249999999997
	24.15			31.718750000000004
	24.300000000000004			31.71875
	24.156249999999996			31.1875
	24.30625			31.631249999999998
	24.312499999999996			31.275000000000006
	24.412499999999998			30.874999999999996
Nov.	24.2875			31.124999999999996
	24.2625			31.531249999999993
	24.337499999999995			31.46875
	24.24375			31.2125
	24.306250000000002			30.756249999999998
	24.3625			30.862499999999997
	24.36875			31.531249999999996
	24.437499999999996			31.725000000000005
	24.450000000000003			31.4125
	24.225			30.824999999999996
	24.256249999999998			31.043750000000003
	24.118750000000002			30.412499999999998
	24.16875			31.087500000000002
	24.2625			30.825000000000003
	24.337500000000002			30.750000000000004
	24.218749999999996			30.918750000000003
	24.22500000000001			30.7875
	24.093749999999996			31.025000000000002
	24.193749999999998			30.400000000000002
	24.0375			30.33125
	24.037499999999998			30.300000000000004
	24.168750000000003			30.66875
	24.112500000000004			30.924999999999997
	24.299999999999997			30.74375
	24.2625			30.562500000000004
	24.087500000000002			30.106250000000003
	24.04375			30.475000000000005
	24.16875			30.012500000000003
	23.95			30.106250000000003
	23.993750000000002			30.224999999999998
Dec.	24.024999999999995			30.78125
	24.20625			30.05
	24.106249999999996			30.2625
	23.956249999999997			30.46875
	24.043749999999996			30.41875
	24.01875			30.031249999999996
	24.05			30.925
	23.981250000000003			30.749999999999996
	24.118749999999995			30.218750000000004
	24.14375			30.725
	24.1125			29.631249999999998
	24.2625			30.337500000000002
	24.068749999999998			30.29375
	24.05			30.918750000000003
	24.118750000000002			30.48125
	24.1125			30.4375
	24.013333333333332			30.573333333333334

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

38°C

Highest Temp

13 Aug. 26

21°C

Lowest Temp

13 Aug. 26

Seasonal Breakdown

Hottest MonthAugust36.86°C

Coldest MonthAugust22.05°C

Wettest MonthMarch8.08mm

Windiest MonthAugust13.53km/h

Palembang Climate Change InsightsSee how climate patterns are evolving over time. Temperature shifts, rainfall trends, and extreme events—all in one place.

Weather City Ranking GloballyExplore Real time of the world’s hottest & Coldest Cities based on current temperature data.

Frequently Asked Questions

1. What is the hottest month in Palembang historically?

October is historically Palembang's hottest month, with average maximum temperatures around 33°C. During peak heatwave events, the highest recorded temperatures have reached 38°C on 2023-10-11.

2. What is the coldest month in Palembang historically?

July is Palembang's coldest month, with average minimum temperatures around 23°C. The all-time record low of 20°C was recorded on 2025-03-20.

3. What is the average annual rainfall in Palembang over the past 17 years?

Palembang's average annual rainfall is approximately 2685.5mm, based on records spanning 17 years.

4. How many rainy days does Palembang experience on average per year?

Palembang historically records approximately 320.9 rainy days per year. November has the highest number of rain days at an average of 28.8 days.

5. What is the all-time highest temperature ever recorded in Palembang?

The all-time highest temperature recorded in Palembang is 38°C on 2023-10-11.

6. What is the all-time lowest temperature ever recorded in Palembang?

The all-time lowest temperature recorded in Palembang is 20°C on 2025-03-20.

7. What is the windiest time of year in Palembang historically?

Palembang experiences its strongest winds during August. The historic gust record of 21.6 kph was recorded on 2023-10-16.

8. What is the highest and lowest humidity in Palembang during a year?

Usually, Palembang's humidity peaks in April at around 84.9% and drops to its lowest in September at approximately 74.1%.

Recent Blogs On Weather

See all blogs

Palembang Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Palembang Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

World Top 10 Hottest Cities Are All in India Again - May 2026

Delhi Air Quality 2026 vs 6-Year Historical PM2.5 Data

What 17 Years of Delhi Temperature Data Reveal About May's Heatwave Escalation

World Top Hottest Cities Belong to India - April 2026

Construction Air Pollution: The Invisible Hazard Reshaping India's Urban Air

Kitchen Air Pollution: How Cooking Can Spike Your Indoor AQI

Mumbai Air Quality Comparison of 2025 Vs 2026 (Jan-Feb)

Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

Why Winter Suffocates and Monsoon Saves Delhi Air Quality 2025?

Winter vs Summer Air: Why Air Pollution Behaves So Differently Across Seasons

Palembang Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Palembang Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

World Top 10 Hottest Cities Are All in India Again - May 2026

Delhi Air Quality 2026 vs 6-Year Historical PM2.5 Data

What 17 Years of Delhi Temperature Data Reveal About May's Heatwave Escalation

World Top Hottest Cities Belong to India - April 2026

Construction Air Pollution: The Invisible Hazard Reshaping India's Urban Air

Kitchen Air Pollution: How Cooking Can Spike Your Indoor AQI

Mumbai Air Quality Comparison of 2025 Vs 2026 (Jan-Feb)

Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

Why Winter Suffocates and Monsoon Saves Delhi Air Quality 2025?

Winter vs Summer Air: Why Air Pollution Behaves So Differently Across Seasons

Palembang Historic Weather Records
Analyse hottest, coldest, windiest & wettest days