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

Kokawa Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	1.9687500000000002	3.8		7.6375	6.6
	2.33125	1.9		8.581249999999999	4.6
	2.8187499999999996	1.7		8.44375	6.6
	2.8187500000000005	3.6		8.643749999999999	8.6
	2.2687500000000003	5.8		8.24375	10.2
	2.75	3.2		8.325	7
	1.9312500000000001	3.2		8.0375	8.4
	2.50625	1.8		8.168750000000001	6.7
	1.9312499999999997	0.6		8.05625	6
	2.1875000000000004	3.2		7.20625	12.6
	1.9812500000000002	1		7.750000000000001	9.5
	1.96875	1.3		7.324999999999999	4.7
	1.90625	2.8		7.85625	11.2
	1.9687500000000002	3.1		7.95	8
Jan.	2.24375	4.4		8.124999999999998	12.4
	1.7562499999999996	8.4		7.9	12.5
	2.21875	7.2		7.98125	12.8
	2.25	4.6		8.04375	9.7
	1.7812499999999998	3.8		8.00625	10.5
	2.55	0.1		9.100000000000001	10.4
	2.5875000000000004	-0.5		8.95	5.4
	2.7375000000000003	1.1		8.687499999999998	3.9
	2.5500000000000003	1		7.7	5.7
	1.3624999999999998	2.5		7.274999999999999	6.1
	1.15	0.9		7.175000000000001	4.5
	1.6125	-0.5		7.712500000000001	4
	1.8500000000000003	2		7.93125	8.3
	2.0374999999999996	3.5		8.36875	6.2
	2.4625	2.8		7.981250000000002	6.8
	2.0999999999999996	1.7		8.025	5.1
	1.7437500000000001	0.4		7.84375	5.8
	1.35	3.1		8.9	7.2
	2.63125	3.2		8.987499999999999	7
	2.2125	1.5		8.85625	6.7
	1.4874999999999998	2.8		8.4375	9.4
	1.56875	6.3		7.281250000000001	11.1
	2.06875	4.9		7.250000000000001	11.7
	1.475	3.6		8.04375	7.1
	1.125	-1		7.631249999999999	2.9
	1.8124999999999998	-0.8		7.2375	5.4
	1.9875	1.2		7.7375	9.1
	1.8437500000000002	5.4		7.83125	9.2
	1.50625	4.4		9.037500000000001	9.6
	3.2249999999999996	4.7		8.987500000000002	10.3
	2.8062500000000004	6.6		9.3625	12.8
Feb.	3.256249999999999	9.4		9.2125	15.6
	2.2625	3.9		8.806249999999999	11.4
	1.725	2.3		8.593749999999998	7.8
	2.0375	2.7		8.674999999999999	10.6
	2.2	1.7		9.068750000000001	7.2
	2.8125	3.1		9.875000000000002	9.1
	2.7	6.1		9.4	12.2
	3.099999999999999	9.8		10.24375	16.9
	3.7999999999999994	10.8		10.350000000000001	15
	2.6250000000000004	8.2		9.918750000000001	17.5
	2.9187499999999993	10.9		10.3625	15.1
	3.9	9.4		10.40625	14.2
	3.34375	10.3		10.637500000000001	14.2
	3.7749999999999995	6.4		11.70625	11.4
	4.6375	5.4		12.575000000000001	13.5
	4.69375	6.2		11.581249999999999	13.3
	3.693749999999999	9		10.0125	16.6
	3.2562499999999996	4.5		11.706250000000002	9.9
	4.99375	3.4		12.143749999999999	10
	4.7125	5		11.4875	14.9
	4.581249999999999	4		10.950000000000001	9.4
	4.7125	2.5		11.406249999999996	8.4
	4.231249999999999	2.3		12.012500000000001	8.1
	3.7125	2.7		10.506249999999998	7.8
	3.6500000000000004	1.8		11.5625	8.6
	4.05	2.8		13.3375	10.1
	5.38125	3.7		13.35	8.1
	5.34375	5.1		12.3875	10.9
Mar.	4.925000000000001	4.8		12.737499999999999	11.1
	4.887499999999999	4.4		12.99375	12.2
	4.0375000000000005	4.3		12.625	11.9
	5.356249999999999	6.8		14.249999999999998	15.1
	6.675	6.2		13.949999999999998	15.9
	5.7625	4.4		14.50625	11
	6.075	3.2		12.975	11.5
	5.16875	6.6		12.8125	13.8
	5.10625	8.2		12.85625	14.6
	5.6125	6.3		13.424999999999999	14.1
	6.050000000000001	10.1		12.89375	15.8
	6.15	8.5		12.8875	13.1
	5.4312499999999995	7.4		14.581250000000002	15.1
	7.05625	10.3		15.41875	17
	6.59375	11.7		14.75625	18.6
	6.6625000000000005	13.2		15.268749999999999	19.4
	7.212500000000001	11.5		15.375000000000002	19.9
	7.6875	10.7		16.25625	12.8
	7.562500000000001	8.6		15.59375	14.3
	7.6625	8.7		15.4875	16.3
	7.743750000000001	12.8		16.475	17.7
	7.9937499999999995	13.1		16.087500000000002	16.7
	9.6125	13.7		16.23125	19
	8.08125	7.7		15.724999999999998	14.7
	8.1	5.8		15.8	13.8
	7.912499999999999	8.7		16.468750000000004	17.2
	8.006250000000001	15.9		16.84375	19.7
	8.9375	12.9		16.53125	18.4
	8.69375	12.5		16.193749999999998	17.8
	8.249999999999998	14.3		16.518749999999997	19.9
	9.3625	14.2		17.2875	19.5
Apr.	9.731250000000001	14.5		16.25	16.9
	8.75625	11.3		17.575	17.3
	9.556249999999999	11.8		18.0625	19.1
	10.04375	12.1		18.868750000000002	19.2
	10.55625	14.6		17.98125	19.5
	10.537500000000001	15.2		18.725	21.1
	10.81875	11.9		18.6625	18
	11.268749999999999	10.5		18.775000000000002	18
	10.968749999999998	11.1		18.48125	12.7
	11.456249999999999	11.6		17.75	16.2
	10.868749999999999	11.3		18.95625	17.2
	10.5875	12.6		19.13125	19.1
	11.33125	13.5		19.1875	17.7
	11.10625	14.9		18.643749999999997	21.3
	10.9625	13.4		19.025	18.1
	11.7625	10.8		19.543750000000003	14.1
	11.91875	12.1		19.8375	17
	11.981250000000001	12.3		19.537499999999998	19.9
	11.481250000000001	15.6		20.4375	20.9
	12.34375	11.6		20.7375	17
	12.45625	9.6		20.725	18.7
	13.225	12.7		21.63125	19.1
	13.35	14.9		19.825	21.5
	12.137499999999998	14.3		20.4375	19.4
	12.46875	11.8		20.237499999999994	18.2
	13.075000000000001	11.4		20.53125	19.6
	13.38125	13.8		20.937500000000004	20.6
	13.706249999999999	15.4		20.79375	20.4
	13.85625	16.2		21.074999999999996	20.7
	13.443749999999998	15.4		21.400000000000002	22.9
May	13.300000000000002	14.3		22.03125	22.7
	14.443749999999998	16.1		21.843750000000004	22.5
	14.931249999999999	16.2		22.325000000000003	24.5
	14.93125	17.1		22.718749999999996	25.2
	14.512500000000001	17.3		22.275	24.4
	15.049999999999999	18.1		23.081250000000004	23.3
	15.5	20.3		22.631249999999998	22.8
	14.2125	18		23.018749999999997	21.4
	14.85625	17.4		22.35	22.7
	15.462499999999999	18.6		23.150000000000002	23.9
	15.162500000000001	17.7		23.881249999999998	24.1
	15.94375	17.8		22.51875	24.4
	15.556249999999999	18.6		22.631249999999998	20.4
	16.2125	19.6		22.981249999999996	23.4
	16.18125	17.6		23.075000000000003	24.8
	15.91875	15.8		22.756249999999998	24.9
	15.975000000000001	18.9		22.76875	25.1
	15.893749999999999	17.1		23.01875	24.1
	16.425	18.5		23.099999999999998	20.1
	16.306250000000002	18		23.44375	21.8
	15.925	18		24.118750000000002	23.8
	16.112500000000004	18.1		23.912499999999998	21.8
	16.75	17.8		23.2375	22.6
	17.400000000000002	18.6		23.837500000000002	19.7
	17.3875	16.9		23.93125	23.2
	17.468749999999996	16.6		24.2125	20.6
	17.950000000000003	16.3		24.787499999999998	22.7
	18.13125	17		24.006249999999998	24.2
	18.54375	18.2		24.350000000000005	24.4
	18.049999999999997	19.3		24.343749999999996	25.1
	18.6375	18.1		24.293750000000003	24.2
Jun.	18.762500000000003	17.2		25.287500000000005	23.6
	18.86875	18.4		24.881249999999994	23.2
	18.7375	18.4		25.837500000000002	23.5
	19.54375	19.7		25.068749999999994	26
	19.48125	21.1		25.018750000000004	27.4
	19.55	21.6		25.218750000000004	25.5
	20.068749999999998	20.7		25.3375	24.7
	19.45	19.7		25.356250000000003	23
	19.925	18.8		25.575	22.9
	20.23125	18.3		26.356249999999996	22.7
	20.212499999999995	18.8		26.55625	22.6
	20.86875	19.9		25.75	23.7
	21.11875	19		25.812500000000007	22.8
	21.100000000000005	19.9		26.668749999999996	23.6
	21.2	20.4		26.518749999999997	25.6
	21.349999999999998	21.1		27.081249999999997	24.2
	21.7375	21.3		26.431249999999995	24.3
	22.237499999999997	20.9		27.362500000000004	26.1
	22.09375	19.1		27.075	26
	22.48125	20.8		26.88125	22.5
	22.425	21.4		27.1125	23.9
	22.556249999999995	21.7		27.406250000000004	25.5
	22.575	21.3		27.687499999999996	26.6
	22.931250000000002	22.3		28.531249999999996	25.8
	22.862500000000004	22.2		27.849999999999998	26.4
	22.724999999999998	22.3		28.299999999999997	28.5
	23.268749999999997	22.9		28.550000000000004	28.1
	23.437499999999996	23.5		28.1	28.7
	23.112499999999997	25.2		27.643750000000004	30.2
	23.0375	25.3		27.68125	31
Jul.	23.118750000000002	25.9		28.33125	31.2
	23.23125	25.9		28.437499999999996	30.4
	23.0625	26		28.712500000000002	31.4
	23.506249999999998	25.6		28.974999999999994	30.4
	23.53125	25		28.4375	30.5
	23.18125	25.3		29.675	30.5
	23.549999999999994	25.5		29.837499999999995	31.6
	23.7125	25.9		29.73125	32.4
	23.86875	26.4		29.825	33.3
	23.918749999999996	26.8		30.2375	33.2
	24.056250000000002	26.8		30.2	33.2
	23.943749999999998	25.9		30.28125	32.3
	24.3375	26.1		29.7875	32.2
	24.14375	25.4		29.98125	31.5
	24.21875	25		30.35	28.4
	24.650000000000006	26.1		30.7875	32.3
	24.725	25.8		31.175	32
	24.593750000000004	26.2		31.2	32.8
	24.65	26.8		30.9375	33.1
	24.493750000000002	26.1		30.9875	31.2
	24.51875	25.1		31.337500000000002	29.7
	24.93125	23.6		31.331249999999997	31.9
	24.94375	25.1		31.312499999999996	33.5
	24.881249999999998	25.7		30.71875	33.3
	24.618750000000002	24.8		31.206250000000004	30.3
	24.537499999999998	24.3		30.831250000000008	29.7
	24.89375	23.8		30.9375	30.6
	25.031250000000004	21.9		30.95	28.1
	24.8125	22.8		30.543750000000003	27.1
	24.343749999999996	22.6		30.98125	29.2
	24.95625	23.1		30.656249999999996	28.8
Aug.	25.15		23.5	29.818749999999998		29.3
	24.987500000000004		23.5	30.293750000000003		29.9
	24.76875		23.8	30.049999999999994		29.8
	24.168749999999996		23.8	30.5125		30.7
	24.362499999999997		24.6	29.962500000000002		31.3
	24.325000000000003		24.9	30.36875		30.9
	24.718750000000004		25	30.618750000000002		29.3
	24.89375		25.1	30.800000000000004		30.2
	25.093750000000004		25.3	30.518749999999997		30.4
	24.8125		24.5	30		29.7
	24.662500000000005		24.1	29.731249999999992		29.4
	23.98125		23.7	29.737500000000004		29.6
	23.574999999999996		23.5	30.112499999999997		29.9
	23.3875		23.5	29.96875		29.7
	23.78125		23.7	30.118750000000002		29.6
	23.975		23.8	29.225		29.4
	24.04375		24	29.6		29.4
	23.50625		23.1	28.58125		28.6
	22.881249999999998		22.7	28.712500000000002		28.7
	22.93125		23.1	28.8		28.5
	23.124999999999996		23.1	28.34375		28.3
	23.18125		22.9	28.7625		28.8
	22.868750000000002		22.9	28.9875		29
	22.793750000000003		22.6	28.625000000000004		28.9
	22.681250000000002		22.5	28.15		27.8
	22.50625		22.2	28.118750000000002		28
	22.26875		21.9	28.75625		28.5
	22.075		21.8	28.312499999999996		28.3
	21.981249999999996		21.9	28.04375		28.1
	22.175		21.9	28.375		27.7
	21.775000000000002		21.5	27.7875		27.7
Sep.	21.65			27.812500000000004
	21.543750000000003			26.931250000000002
	21.706249999999997			27.475
	21.9875			27.862499999999997
	21.174999999999997			26.99375
	20.1875			26.1125
	20.01875			26.2875
	20.437500000000004			26.243750000000002
	19.41875			25.89375
	19.13125			24.78125
	19.025			25.375000000000004
	18.88125			25.325
	19.13125			26.087500000000002
	18.987499999999997			25.7125
	18.73125			25.225
	18.8			25.14375
	18.6625			24.699999999999996
	18.793750000000003			24.8875
	18.168750000000003			24.924999999999997
	17.8625			23.637499999999996
	17.85			23.66875
	17.78125			23.356249999999996
	17.112499999999997			23.356250000000003
	17.237499999999997			23.806250000000006
	17.175			23.087500000000002
	17.16875			23.781249999999996
	17.581250000000004			23.1375
	17.04375			22.4125
	15.918750000000001			22.449999999999996
	15.9375			22.56875
Oct.	15.668749999999998			22.081249999999994
	14.96875			21.99375
	15.224999999999998			20.968749999999996
	14.525			21.45
	14.799999999999999			21.225
	14.956250000000002			20.956249999999997
	14.29375			20.74375
	14.225			20.750000000000004
	14.431249999999999			20.631249999999998
	14.25			20.275
	13.53125			19.025
	12.5375			19.725
	12.281249999999998			19.86875
	12.4625			19.11875
	12.4			18.39375
	12.16875			18.35
	12.14375			18.26875
	11.687500000000002			18.6125
	12.0125			18.718750000000004
	12.100000000000001			18.575
	11.4125			18.53125
	11.037499999999998			18.1625
	11.7125			19.45
	11.762500000000001			18.756249999999998
	12.343750000000002			18.1125
	11.912500000000001			17.51875
	10.712499999999999			16.475
	10.174999999999999			16.34375
	10.681249999999999			16.86875
	10.1125			16.6625
	10.1875			16.3875
Nov.	9.543750000000001			15.69375
	9.075000000000003			15.868749999999999
	9.41875			15.949999999999998
	9.44375			15.76875
	8.74375			15.35625
	9.40625			15.506250000000001
	8.775			15.48125
	8.78125			15.275
	9.08125			15.456249999999997
	8.625			14.5375
	7.95			13.75
	7.924999999999999			14.206250000000002
	7.606249999999998			14.65
	7.975			14.187500000000002
	7.687500000000003			13.8125
	7.175			14.3375
	6.968750000000001			13.55625
	6.35			12.725
	6.087499999999999			12.73125
	6.512500000000001			12.474999999999998
	6.06875			11.875000000000002
	6.4			11.674999999999999
	6.15625			11.643749999999999
	5.34375			11.01875
	4.8812500000000005			11.3375
	5.050000000000001			12.162499999999998
	5.624999999999999			12.549999999999999
	5.2875			10.76875
	4.99375			10.65625
	4.4375			10.631250000000001
Dec.	4.35625			10.943750000000003
	4.518750000000001			10.818749999999998
	4.24375			8.649999999999999
	3.9437500000000005			8.3375
	4.2562500000000005			9.775
	4.15625			9.881250000000001
	3.3562500000000006			9.862499999999999
	4.187499999999999			9.849999999999998
	4.7875			10.018750000000002
	3.3750000000000004			10.23125
	3.35			8.4375
	3.51875			7.906249999999999
	3.2312499999999997			8.35625
	2.1624999999999996			9.10625
	2.8249999999999997			8.6125
	3.5562499999999995			9.262500000000001
	3.033333333333333			9.226666666666668

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

34°C

Highest Temp

6 Aug. 26

-1°C

Lowest Temp

8 Feb. 26

Seasonal Breakdown

Hottest MonthAugust30.66°C

Coldest MonthJanuary2.59°C

Wettest MonthJune9.88mm

Windiest MonthJanuary27.8km/h

Kokawa 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 Kokawa historically?

August is historically Kokawa's hottest month, with average maximum temperatures around 30°C. During peak heatwave events, the highest recorded temperatures have reached 35°C on 2018-07-24.

2. What is the coldest month in Kokawa historically?

January is Kokawa's coldest month, with average minimum temperatures around 2°C. The all-time record low of -4°C was recorded on 2022-01-02.

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

Kokawa's average annual rainfall is approximately 1882.08mm, based on records spanning 17 years.

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

Kokawa historically records approximately 207.8 rainy days per year. June has the highest number of rain days at an average of 20.4 days.

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

The all-time highest temperature recorded in Kokawa is 35°C on 2018-07-24.

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

The all-time lowest temperature recorded in Kokawa is -4°C on 2022-01-02.

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

Kokawa experiences its strongest winds during January. The historic gust record of 66.2 kph was recorded on 2018-09-04.

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

Usually, Kokawa's humidity peaks in July at around 80.6% and drops to its lowest in February at approximately 68.5%.

Recent Blogs On Weather

See all blogs

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

Kokawa 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

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

Kokawa 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

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