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

Forbes Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	20.48125	15.6		33.8	33.5
	21.549999999999997	16.7		34.362500000000004	35
	20.968750000000004	18.8		34.30625	37.1
	21.225	21.3		33.05625	37.9
	20.89375	20.5		33.58125	39.2
	19.900000000000006	18.4		33.168749999999996	38.6
	19.91875	23.3		32.73125	41.7
	21.11875	25.7		33.137499999999996	42.8
	20.7125	25		33.31875000000001	40.1
	21.025000000000002	26.7		34.168749999999996	41.8
	21.40625	19.6		33.21875	33.2
	21.693749999999998	17.2		34.94375	37.6
	21.918750000000003	19.1		34.793749999999996	38.8
	20.756249999999998	22.6		33.225	39.3
Jan.	20.5125	20.3		32.65	39.6
	20.04375	19.1		33.13125	35.2
	20.7875	19.3		33.04375	33.7
	21.03125	19.1		33.4625	32.6
	20.05625	18.2		32.9375	32.7
	19.849999999999998	18.5		33.7375	30.8
	20.474999999999998	16.5		34.10000000000001	33.5
	21.387499999999996	18.3		34.20625	32
	21.862499999999997	15.2		34.38125	34.6
	21.4875	18.4		33.36875	39.5
	21.606249999999996	24.3		34.26875	42.5
	22.28125	28.7		35.00000000000001	45
	21.893749999999997	21.4		33.76875	43
	21.65625	25.9		33.7125	43.9
	21.4	26.3		32.81250000000001	41.9
	20.9125	23.6		33.68125	43
	21.125	29.3		33.66875	45.1
	20.962500000000002	23.5		33.0125	36.4
	19.474999999999998	12.5		30.775	31.9
	18.93125	15		31.3125	30.1
	19.381249999999998	19.6		32.775	34
	20.137499999999996	26.1		31.9375	36.4
	19.137500000000003	25.9		31.13125	38.4
	19.53125	22.3		31.675000000000004	35.5
	20.23125	19.9		32.38125	26.9
	20.78125	19.7		32.6125	30.3
	20.568749999999998	22.1		33.775000000000006	34.2
	21.349999999999998	24.5		33.58125	35.6
	20.15625	21.2		31.993750000000002	30.8
	19.200000000000003	16.7		30.243749999999995	31.2
	19.062500000000004	18.5		31.100000000000005	31.3
Feb.	18.83125	18.5		30.86875	29.3
	18.993750000000002	17.2		30.9625	30.1
	19.6	18.2		32.075	33.2
	19.95	24.9		32.71875	35.2
	19.14375	22.7		31.756249999999998	34.1
	18.6125	21.7		30.51875	37.6
	18.35	24.1		31.01875	36.7
	19.05	26.4		31.918750000000003	35.6
	19.474999999999998	25.4		30.968750000000004	32.3
	19.35	23.5		31.86875	35.9
	19.400000000000002	24.1		32.28125	31.2
	20.062500000000004	22.3		31.306250000000002	29.9
	19.356250000000003	20.5		31.987499999999994	33.1
	19.7	20.1		32.03124999999999	32.4
	19.53125	20.3		30.056249999999995	31.7
	18.4125	21.4		30.456249999999997	29
	18.256249999999998	22.3		30.387499999999996	28.5
	19.10625	22.6		30.381250000000005	31
	18.562500000000004	23.5		28.999999999999996	34
	17.7125	23.5		29.168750000000003	34.4
	17.943749999999998	23.2		29.325	31.9
	17.60625	21.2		29.924999999999997	32.5
	18.025	19.3		28.98125	30.7
	17.675	20		29.59375	31.2
	18.18125	21.3		30.362499999999997	33.7
	18.48125	19.5		30.393750000000004	28.1
	17.9625	12.7		29.962499999999995	28.4
	18.48125	15.1		30.106249999999996	29.7
Mar.	18.49375	18.9		29.968750000000007	30.6
	18.14375	23.6		29.174999999999997	32.4
	16.73125	20.6		27.518749999999997	25.9
	17	18.8		28.793749999999996	25.5
	17.45	17.5		29.287499999999998	21.7
	17.868750000000002	18.7		29.250000000000004	26.9
	18.23125	21.8		27.974999999999998	28.6
	17.25625	19.4		27.9	29.3
	16.775000000000002	19.6		27.65625	29.5
	16.19375	19.2		25.943749999999998	29.8
	15.875	20.7		26.537499999999998	31.3
	15.24375	15.1		25.887500000000003	26.3
	15.412499999999998	8.1		26.75	18.3
	15.543750000000001	8.6		26.75	20.4
	15.781250000000002	12.8		26.562500000000007	25
	15.243749999999997	15.2		25.6875	27.2
	14.3625	17.1		25.26875	29
	13.99375	18.7		26.074999999999996	30.2
	14.731249999999998	20.8		26.51875	31.1
	14.5125	18.2		26.256249999999994	27.4
	14.3	15.5		25.362500000000004	26.4
	14.10625	14		25.456249999999997	25.4
	14.843750000000002	16.3		25.56875	26.9
	14.7875	19		25.45625	30.1
	13.418750000000001	15.2		24.18125	26.4
	13.43125	19		23.962499999999995	31.6
	12.81875	16.2		22.599999999999998	25.8
	12.08125	11.4		23.01875	17.7
	11.925	8.5		22.96875	17.9
	11.63125	8.7		23.456249999999997	20.2
	12.393749999999999	12.4		24.231250000000003	22.4
Apr.	12.6375	12.1		24.162499999999998	22.4
	13.0375	12.9		23.912499999999998	24.6
	12.65	11.8		24.4375	22.8
	12.237499999999999	7.4		24.231249999999992	20.2
	12.068750000000001	8.9		22.76875	21.6
	11.73125	9.5		22.206250000000004	23.5
	11.6875	11.1		21.88125	23.8
	11.912499999999998	11.1		23.25	22.4
	12.462499999999999	11.1		23.881249999999998	22.5
	12.35	10.3		23.69375	23.1
	11.49375	12.3		22.15	24.2
	10.74375	13.3		20.7125	24.5
	10.01875	13.5		19.84375	24.9
	10.393749999999999	12.9		21.625	25
	11.156249999999998	13.8		22.19375	24.9
	11.343749999999998	12.8		21.4875	25.3
	11.006250000000001	14.5		20.79375	25
	10.687500000000002	13.6		20.556249999999995	24.5
	10.412500000000001	16.1		20.09375	24.4
	9.500000000000002	14.1		19.562500000000004	19.8
	8.175	11.1		18.606250000000003	18.2
	8.26875	10.3		19.474999999999998	18.5
	8.337499999999999	6.9		19.356249999999996	11.8
	8.356250000000001	7.3		19.262500000000003	15.3
	8.95625	9.1		19.71875	17.9
	8.8125	10.1		19.418750000000003	20.4
	8.593749999999998	11.5		17.306250000000002	21.4
	8.981250000000001	12		17.925	20.8
	8.4875	11.2		18.20625	20.1
	8.15625	11.5		18.1875	20.2
May	7.512499999999999	12		18.181250000000002	21
	7.318749999999999	12.6		18.825	21.6
	7.475	12.7		18.09375	16.8
	7.7437499999999995	13.3		18.65	15.1
	7.5874999999999995	11.8		17.80625	17.1
	7.974999999999999	7.8		18.525	15.3
	8.5375	9		18.175000000000004	16.5
	8.237499999999999	7.9		17.84375	17.9
	7.875000000000001	9.6		18.181249999999995	17.7
	7.6000000000000005	12.2		17.78125	18.1
	8.13125	12.3		18.3875	19.5
	7.9937499999999995	12		16.99375	14
	7.8062499999999995	11.1		16.5375	17.8
	7.725000000000001	12.2		16.49375	15.2
	7.087500000000001	9.9		16.14375	17
	6.36875	9		15.712499999999999	17.2
	7.1	8.1		17.175	14
	7.231249999999998	8.3		16.85	14.8
	6.74375	9.7		16.14375	18.4
	6.825	9.7		14.84375	14.6
	6.55	7.5		15.162499999999998	10.9
	5.862500000000001	6.5		14.493749999999997	12.6
	5.981249999999999	5.7		14.687499999999998	14.5
	5.7625	7.6		15.60625	15.6
	5.84375	6.4		14.53125	16.5
	5.437499999999999	10.8		14.01875	18.4
	6.56875	11.4		14.9125	17.8
	6.35625	11.3		15.606250000000001	18.7
	6.78125	10.4		15.581250000000002	19.1
	6.618750000000001	11.9		15.1125	18.4
	6.10625	13		15.437499999999996	16.6
Jun.	6.2625	12.2		15.174999999999999	16.8
	6.5	10.8		15.337499999999997	19.3
	6.31875	13.1		14.774999999999997	19.7
	5.4375	12		14.15625	18.9
	5	10.8		15.0125	13.7
	5.0375	9.1		14.71875	14.7
	4.812499999999999	8.5		14.575000000000001	13.4
	4.63125	8.5		14.381250000000001	14.3
	5.84375	7.5		14.506250000000001	13.7
	5.5249999999999995	5.7		14.737499999999999	14.5
	5.23125	6.7		14.70625	15.7
	4.787499999999999	9.2		14.756249999999998	14.1
	4.6625000000000005	7.7		14.274999999999999	16
	5.0625	8.7		13.862499999999999	15.2
	4.8187500000000005	9.7		14.2375	11.7
	4.750000000000001	11		14.36875	12.9
	4.53125	11.3		13.462500000000002	16.9
	4.6875	8.7		14.025	15.3
	4.956250000000001	7.7		14.53125	11.8
	4.95	6.4		14.7375	12.2
	5.081250000000001	3.9		14.225000000000003	13.7
	5.14375	6.5		13.6125	13.6
	4.55625	6.2		13.8	14.1
	4.062500000000001	6.2		14.168750000000003	14.7
	5.16875	6.7		13.89375	15.2
	5.787499999999999	8.6		13.943750000000003	14.5
	5.7124999999999995	7.5		14.600000000000003	14.6
	5.299999999999999	4.3		14.524999999999997	11.4
	5.35	7.5		14.018749999999999	14.3
	5.187500000000001	8.2		13.474999999999998	14.4
Jul.	4.887499999999999	5.7		13.174999999999999	13.3
	4.3187500000000005	4.8		13.53125	14.5
	4.862499999999999	6		14.5	16
	5.0375000000000005	7.5		14.281249999999998	16.3
	4.26875	6.9		14.025	15.8
	4.1625	6.8		14.49375	15.7
	4.34375	7.5		14.55	16.8
	4.137499999999999	8.2		14.5375	16.6
	4.5125	4.6		15.600000000000001	12.2
	4.9937499999999995	2.2		15.374999999999996	11.3
	4.4312499999999995	3.6		15.906250000000002	13.3
	5.6812499999999995	7.1		15.25	14.6
	4.8625	5.9		15.2625	13.8
	6.4125	5.7		15.343749999999998	14.9
	5.918749999999999	4.8		15.918750000000001	12.1
	5.425	2.7		15.30625	12
	5.4125	3.3		16	13.2
	4.999999999999999	4.4		15.668750000000001	15.4
	4.125000000000001	6.1		16.125	18
	5.4125	7.4		15.875000000000002	15.6
	5.7125	5.5		15.581250000000002	12.7
	5.55	4.3		15.587499999999999	13.4
	4.74375	4.2		15.34375	13.5
	4.51875	5.3		14.4125	15.5
	5.012499999999999	4.7		14.387500000000003	15.3
	3.9250000000000003	7.4		15.793749999999998	10.5
	5.5062500000000005	5.2		16.493750000000002	10.6
	5.3875	7.4		15.2625	11.4
	5.068750000000001	8.1		15.125000000000002	15.3
	5.2875000000000005	5.7		15.56875	14.1
	5.05625	6.3		16.59375	16
Aug.	5.99375	5.4		16.968750000000004	15.8
	5.89375	7.4		16.537499999999998	16.9
	5.4937499999999995		24.4	15.993749999999999		25
	5.768750000000001		9.3	15.69375		16.9
	5.5375000000000005		9.5	15.162500000000001		18.4
	4.787500000000001		11.3	15.393749999999999		18.9
	5.199999999999999		8.3	15.831250000000002		14
	5.85		6.8	17.5375		14
	6.1875		7.8	16.3125		14.5
	5.91875		9.3	16.475		14.3
	5.85		8	16.31875		14.5
	5.6125		4.9	16.3125		16.4
	5.412499999999999		5.2	16.59375		17.1
	4.4375		4.9	17.212499999999995		17.7
	5.43125		6	17.975		18.5
	5.40625		6.2	17.61875		18
	5.793750000000001		5.6	18.7125		17.6
	5.9875		5.8	18.4875		18.8
	6.674999999999999		6.9	19.199999999999996		19
	7.2125		7.4	19.6875		20
	7.699999999999999		7.6	19.587500000000002		19.7
	6.881249999999999		7.2	18.618749999999995		19
	7.325		7.4	19.61875		19.7
	8.04375		8.2	19.437500000000004		19
	7.60625		7.6	18.10625		17.8
	7.60625		7.6	18.762499999999996		18.3
	7.143749999999998		6.5	18.54375		18.5
	6.4125		6.2	19.431250000000002		19.9
	6.6625000000000005		7.1	20.35		20.4
	7.362499999999999		7.7	19.999999999999996		20
	7.3062499999999995		7.1	20.26875		20.3
Sep.	7.3812500000000005		6.9	20.5875		20.4
	7.518750000000002		7.7	19.9875		21
	6.575			19.968750000000004
	7.643749999999999			21.606250000000003
	8.39375			20.718749999999996
	7.556250000000001			20.268749999999997
	7.3			20.631249999999998
	8.2375			21.45
	8.0625			22.03125
	8.481250000000001			21.8125
	8.1125			21.05625
	8.28125			21.087500000000002
	7.643749999999999			22
	9.1			21.9875
	8.7			21.431250000000006
	8.73125			22.637500000000003
	8.89375			21.1
	8.718750000000002			22.1375
	9.593749999999998			24.031250000000004
	10.018749999999999			24.181250000000002
	11.381250000000001			24.543750000000003
	12.4625			25.34375
	10.93125			23.756249999999994
	10.3125			23.0125
	10.187499999999998			23.599999999999998
	10.475000000000001			24.468750000000004
	9.775			23.743750000000002
	10.337500000000002			22.9
	9.625000000000002			22.68125
	10.025			23.168750000000003
Oct.	10.6			24.375
	11.031250000000002			24.218750000000004
	11.456249999999999			24.462500000000002
	10.89375			24.71875
	11.831249999999999			25.64375
	12.69375			26.9875
	12.587500000000002			27.681250000000002
	13.306249999999999			27.075
	12.818749999999998			26.393749999999997
	13.106249999999998			26.16875
	12.7875			25.725
	12			24.943749999999994
	11.2625			24.125
	11.7875			24.693749999999998
	13.1125			25.943749999999998
	12.918750000000003			26.387499999999996
	13.493749999999999			26.868750000000002
	12.912500000000001			26.587500000000006
	12.799999999999999			26.168750000000003
	12.425			25.06875
	12.237499999999999			25.568750000000005
	13.4625			27.068749999999998
	14.312499999999998			27.2375
	13.875			27.19375
	13.799999999999999			27.168750000000003
	13.625			26.75
	13.706249999999999			26.8125
	14.200000000000001			27.462500000000002
	15.243749999999999			29.13125
	15.981250000000001			28.16249999999999
	15.4875			27.362500000000004
Nov.	14.375			26.5125
	13.106250000000001			25.787499999999998
	12.981249999999998			26.793750000000003
	14.58125			28.5625
	15.95625			30.793750000000003
	16.424999999999997			30.456249999999997
	16.825000000000003			29.368749999999995
	16.243750000000002			28.99375
	16.950000000000003			29.4
	16.831249999999997			27.974999999999998
	16.593750000000004			29.0875
	15.762500000000001			28.775000000000002
	16.44375			29.5875
	16.849999999999998			28.73125
	17.343750000000004			29.35
	16.69375			28.337500000000002
	17.18125			29.343750000000007
	16.8625			28.874999999999996
	16.225			29.468749999999996
	17.03125			29.662499999999998
	16.68125			30.262500000000003
	16.70625			28.200000000000003
	16.5			29.662500000000005
	17.362500000000004			30.20625
	18.325			31.425000000000004
	17.2375			30.44375
	17.00625			29.949999999999996
	16.6875			28.949999999999996
	15.937500000000002			30.4875
	17.193749999999998			30.887500000000003
Dec.	18.362499999999997			32.09375000000001
	19.112499999999997			31.71875
	19.08125			32.506249999999994
	20.325			33.224999999999994
	19.98125			32.55625
	18.725			32.525
	18.693749999999998			31.743750000000002
	18.549999999999997			31.025
	18.1375			31.043749999999996
	18.4875			31.650000000000002
	18.90625			31.956249999999997
	18.80625			31.506249999999998
	18.787499999999998			32.175
	19.275			33.10625
	20.262500000000003			32.74375
	19.612500000000004			32.90625
	19.619999999999997			33.82000000000001

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

45°C

Highest Temp

31 Jan. 26

2°C

Lowest Temp

24 Jul. 26

Seasonal Breakdown

Hottest MonthJanuary38.23°C

Coldest MonthAugust5.93°C

Wettest MonthMay1.96mm

Windiest MonthJanuary26.32km/h

Forbes 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 Forbes historically?

January is historically Forbes's hottest month, with average maximum temperatures around 34°C. During peak heatwave events, the highest recorded temperatures have reached 46°C on 2019-12-21.

2. What is the coldest month in Forbes historically?

July is Forbes's coldest month, with average minimum temperatures around 5°C. The all-time record low of -1°C was recorded on 2014-08-03.

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

Forbes's average annual rainfall is approximately 505.7mm, based on records spanning 17 years.

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

Forbes historically records approximately 106.9 rainy days per year. November has the highest number of rain days at an average of 10.8 days.

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

The all-time highest temperature recorded in Forbes is 46°C on 2019-12-21.

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

The all-time lowest temperature recorded in Forbes is -1°C on 2014-08-03.

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

Forbes experiences its strongest winds during November. The historic gust record of 46.1 kph was recorded on 2025-09-10.

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

Usually, Forbes's humidity peaks in June at around 75.8% and drops to its lowest in January at approximately 39.2%.

Recent Blogs On Weather

See all blogs

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

Forbes 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

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

Forbes 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

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