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

Tapa Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-3.33125	-8.8		0.6249999999999999	-5.1
	-4.062500000000001	-6.2		-1.35625	-4.9
	-4.6499999999999995	-5.4		-1.9125	-1.9
	-5.0875	-2.8		-1.4500000000000002	-1.9
	-5.312499999999999	-9.7		-2.5312499999999996	-4
	-7.156250000000001	-12.3		-3.16875	-6
	-7.2562500000000005	-9.4		-2.91875	-5.5
	-6.0874999999999995	-9.3		-1.4687500000000002	-6.8
	-3.8000000000000003	-6.5		-0.9562499999999999	-4.1
	-4.6812499999999995	-4.9		-1.4687500000000002	-4.3
	-5.7875	-5.2		-1.43125	-4
	-5.85	-7.2		-1.56875	-4.6
	-4.825	-13.2		-1.20625	-8.4
	-3.9875	-15.8		-1.8437499999999998	-12.1
Jan.	-5.175000000000001	-13.3		-1.8937499999999998	-9.6
	-5.662500000000001	-9.8		-2.26875	-7.5
	-5.3500000000000005	-9.2		-1.9312499999999997	-5.9
	-5.000000000000001	-7.1		-2.1187500000000004	-4
	-4.8062499999999995	-7.1		-1.6874999999999998	-0.3
	-6.3125	-2.1		-2.5062499999999996	0
	-7.324999999999999	-9.2		-3.61875	-0.9
	-6.94375	-12.9		-3.3875000000000006	-5.3
	-6.7437499999999995	-16.1		-2.86875	-10.3
	-5.918749999999998	-17.5		-1.5687499999999996	-11.4
	-5.1125	-18.1		-1.4875000000000003	-12.1
	-5.9624999999999995	-17		-1.8687499999999992	-9.8
	-6.037499999999999	-14.2		-3.3437500000000013	-7.8
	-5.64375	-9.7		-2.0312499999999996	-7.1
	-4.1125	-13.8		-1.24375	-7.5
	-3.881250000000001	-15.4		-0.8812499999999993	-8.1
	-4.068749999999999	-16.8		-1.0812500000000003	-10.3
	-4.456249999999999	-16.2		-1.2874999999999999	-11.8
	-4.46875	-14		-1.4000000000000004	-8.8
	-5.18125	-12.8		-1.8375	-9
	-5.99375	-16.8		-3.39375	-8.8
	-6.8875	-18.6		-2.75625	-10.1
	-6.64375	-16.9		-2.6687500000000006	-8.8
	-6.218749999999999	-13.5		-2.13125	-9.3
	-5.56875	-16.1		-1.9749999999999996	-8.8
	-6.1812499999999995	-14.4		-2.7375000000000007	-4.4
	-5.675	-11.8		-2.35	-4
	-5.11875	-14.8		-2.45625	-7
	-5.40625	-14.1		-1.9562499999999998	-7.7
	-4.18125	-11.7		-1.56875	-9.9
	-4.86875	-16.4		-1.9000000000000006	-11.2
Feb.	-5.69375	-19.5		-2.3187500000000005	-6.6
	-6.031249999999999	-14.1		-2.2062499999999994	-5.7
	-5.549999999999999	-17.5		-2.3625	-6.2
	-7.000000000000001	-15.1		-2.7687500000000003	-8.9
	-5.656249999999999	-11.5		-2.4375	-8.3
	-6.050000000000002	-10.7		-2.1437500000000003	-7.4
	-5.68125	-5.4		-2.5749999999999993	-1.8
	-5.7562500000000005	-10		-2.19375	-2
	-5.4625	-13.9		-1.0000000000000002	-3.4
	-4.31875	-13		-0.6937500000000001	-5.1
	-4.250000000000001	-14.3		-0.4937499999999998	-5.2
	-4.3500000000000005	-5.6		-0.575	1.6
	-3.993750000000001	1.2		-0.60625	2.4
	-3.4624999999999995	-1.8		0.006249999999999839	2.3
	-4.075	0.1		0.425	2.2
	-3.4499999999999997	-1		0.3999999999999999	1.4
	-3.0875	-1		0.06250000000000006	2.1
	-3.93125	0.5		-0.3687500000000001	2.3
	-4.38125	-3.3		-0.7249999999999999	1.8
	-4.19375	-3.3		-0.10625000000000007	3.7
	-4.70625	-1.9		-0.24375000000000008	1.9
	-3.7937499999999997	-1.9		0.88125	3.5
	-4.1312500000000005	0.3		0.050000000000000044	5.5
	-4.6499999999999995	-0.3		0.8187500000000001	5.8
	-3.6937499999999996	2.1		0.6562500000000001	6.2
	-3.54375	3.5		0.925	8.8
	-3.19375	2.8		2.0062499999999996	9
	-2.9499999999999997	6.1		1.8499999999999999	11
Mar.	-3.2874999999999996	3.4		0.8124999999999998	9.1
	-4.00625	2.5		0.8500000000000002	6.3
	-4.2124999999999995	1		1.25	8.1
	-3.4187499999999993	1.5		2.0999999999999996	7.3
	-1.925	0.8		1.5437500000000002	3.2
	-2.525	-0.5		2.16875	4.2
	-2.14375	0.2		1.88125	8.2
	-2.41875	2		2.0125	8.8
	-2	2.3		2.5875000000000004	8.3
	-2.26875	0.1		3.2562499999999996	7.7
	-1.9187500000000004	5.1		2.99375	9.8
	-2.0124999999999997	3.5		2.74375	8.4
	-2.0875	0.9		3.5375000000000005	8.2
	-1.09375	-0.1		4.3	8.3
	-1.0812499999999998	0.4		4.2875000000000005	7.9
	-1.0687499999999999	2.8		3.825	7.9
	-1.3	3.1		3.3125000000000004	5.1
	-1.45625	0.1		3.5562499999999995	6.1
	-0.45625000000000016	0.7		4.331250000000001	9.1
	-0.6375	2.9		4.3125	5.8
	-1.1874999999999998	2.6		4.21875	6.3
	-0.31875000000000003	2.4		4.449999999999999	5.6
	-0.64375	1.9		4.28125	3.4
	-0.375	1		5.387500000000001	2.9
	0.48125	-0.1		5.675	2.7
	0.45625	-1.3		6.449999999999999	2.2
	0.0875000000000001	-0.8		5.562499999999999	4.2
	0.12500000000000003	-0.5		6.5625	5.9
	0.8375	1.1		7.25	7.5
	0.925	2.6		6.587500000000001	8.4
	1.0625	2.6		7.124999999999999	9.2
Apr.	0.925	3.5		6.593750000000001	10.3
	1.23125	3.7		7.1625	8.2
	1.41875	4.2		7.2625	8
	1.5750000000000002	2.4		7.668750000000001	6.4
	1.5999999999999999	0.6		7.5125	5
	0.8500000000000001	0.4		7.831250000000002	6.4
	1.9687500000000002	1.4		8.14375	9.6
	1.9562500000000003	3.8		8.543750000000001	9.5
	1.98125	0.5		8.075000000000001	5.2
	2.2875	1.3		8.20625	8
	2.24375	1.8		8.450000000000001	7.4
	2.7125000000000004	0.2		8.41875	4.5
	2.88125	1.5		8.65	6.4
	2.2437500000000004	1.4		9.00625	5.1
	2.61875	1.6		8.75	6
	2.6187500000000004	0.7		8.91875	8.1
	2.8437500000000004	3.4		9.431249999999999	13.2
	2.4812499999999997	6.6		9.41875	16.7
	2.7937499999999997	7.6		8.899999999999999	14
	2.6375	6		8.100000000000001	14.4
	2.7624999999999997	3.3		9.418749999999998	13.2
	3.5562499999999995	1.2		10.375	8.7
	3.96875	3.3		10.0125	8.7
	3.9000000000000004	2.5		9.975	10.1
	3.94375	4.1		11.35625	9.4
	5.012499999999999	3.8		12.6	10.5
	6.081249999999999	5.6		13.268750000000002	14.7
	6.531249999999999	8.1		14.137500000000001	17.1
	5.7562500000000005	8.4		12.587500000000002	16.7
	6.275	6.5		13.456249999999999	14.2
May	6.300000000000001	6.3		13.343749999999998	13.4
	6.612499999999998	6.6		13.487499999999999	15.3
	6.8687499999999995	7		14.312499999999996	13.1
	7.56875	6.2		14.331249999999997	12.3
	8.19375	8.8		16.018749999999997	21
	8.312499999999998	8.6		16.09375	14.1
	8.21875	8.3		15.84375	14.4
	8.525	7.2		16.025	14.4
	8.506250000000001	8.3		15.5	19.3
	8.05	11.3		15.356249999999998	16
	8.6	10		16.50625	14.1
	8.84375	8.5		15.643750000000002	14.9
	8.475	7.8		14.487500000000002	11.8
	8.525000000000002	7.7		16.15625	12.1
	8.91875	7.7		15.54375	11.6
	8.70625	6.6		15.09375	13.9
	8.737499999999999	8.4		15.643749999999999	12.7
	9.31875	5.9		16.59375	14.6
	9.625000000000002	8.5		15.756249999999998	16.7
	9.700000000000001	10.3		17.262500000000003	19.1
	10.15625	12		17.625	22.5
	10.575	13		16.893749999999997	22.2
	9.787500000000001	11.3		17.7875	18.7
	10.85	9.6		18.18125	20.1
	10.8	10.2		17.5	17.7
	10.5875	12.1		16.6875	17.6
	10.100000000000001	9.6		17.15625	17.3
	10.2625	9.9		17.749999999999996	17.2
	10.906249999999998	10.4		16.74375	16.1
	10.8625	9.6		17.00625	13.7
	10.5625	9		17.21875	16.7
Jun.	10.743749999999999	10.3		17.575000000000003	15.7
	10.631250000000001	9.1		18.112499999999997	16.7
	11.55625	12.1		18.41875	13.4
	11.843749999999998	12.2		19.025	18.9
	12.468750000000002	12.7		18.88125	19.2
	11.906250000000002	11.2		18.85	22.4
	11.956249999999997	15.8		18.575000000000003	22.4
	11.825000000000001	13.1		18.35	18.4
	11.41875	11.3		18.793750000000003	17.3
	12.012499999999998	10		18.2	15.1
	12.618749999999999	9.8		18.64375	18.5
	12.7125	12.2		19.56875	20.2
	12.7125	12.6		19.75	20.8
	13.24375	14.4		19.893749999999997	25.2
	13.331249999999999	16.3		20.168750000000003	21.1
	13.675	16.1		20.075	22.7
	13.999999999999998	14.1		19.937500000000004	22.3
	13.831250000000002	13		20.24375	16.9
	13.412500000000001	11.2		20.500000000000004	18.1
	13.1	11.3		20.162499999999998	17.3
	12.699999999999998	13.1		19.675	17.3
	13.387500000000001	9.9		19.36875	16.5
	13.93125	7.6		20.337500000000002	15.2
	14.49375	11.5		20.637500000000003	15.5
	13.825	12		19.875000000000004	17.9
	13.325000000000001	11.4		20.01875	19.8
	13.568750000000001	16.2		19.91875	21.8
	13.7875	15.5		21.062500000000004	23.4
	14.531250000000002	16		21.731250000000003	21.9
	14.362499999999999	14.6		20.900000000000002	19.9
Jul.	14.25625	14.6		21.16875	21.9
	14.368749999999999	13.7		21.125000000000004	19.5
	14.762500000000001	11.7		20.86875	24.7
	14.7	18		21.674999999999994	26.8
	14.268749999999999	16.4		20.2375	21.9
	14.437499999999998	14.3		20.35	17.9
	15.056249999999999	12.5		21.150000000000006	14.7
	15.1375	10.5		22.018750000000004	14.3
	15.668750000000001	9.5		21.393750000000008	17.9
	15.14375	10.4		20.55	20.1
	15.231250000000001	11.1		22.143749999999997	22.1
	16.337499999999995	15		23.4875	23.8
	16.21875	16		23.374999999999996	21.4
	16.34375	13		23.3875	20.4
	16.106250000000003	12.5		22.549999999999997	20.9
	16.14375	12.5		21.743750000000006	22.3
	15.26875	15.4		21.65625	27
	14.587499999999999	15.1		20.46875	22.5
	14.856249999999998	13.5		20.462499999999995	20.4
	14.50625	12.3		21.299999999999997	21.1
	14.856250000000003	11.4		21.71875	21.1
	15.16875	12.1		21.162500000000005	22.7
	15.287499999999998	16.6		21.799999999999997	25.4
	15.78125	15.1		21.81875	20.6
	15.499999999999998	11.1		22.25625	19.2
	14.9375	11		21.668750000000003	22
	14.781250000000002	12.7		21.56875	25
	14.325	14		20.599999999999998	19.4
	14.16875	12		20.39375	17.8
	13.799999999999999	12.9		19.49375	18
	13.8125	12.2		20.04375	21.6
Aug.	14.4875	14.1		20.775000000000002	24.4
	14.268750000000002		13.4	20.925		24.8
	14.475000000000001		11.4	21.093750000000004		19.6
	14.531249999999998		12.4	20.518750000000004		18.6
	14.00625		11.7	20.256249999999998		18.6
	13.475		11.5	19.44375		17.9
	12.9375		11.8	19.393750000000004		17.7
	13.0375		10.7	19.05		19.4
	13.325		10.8	19.006249999999998		17.7
	13.3125		13.2	18.887500000000003		19
	12.906249999999998		12.6	18.212500000000002		18.6
	12.887499999999998		12.9	18.650000000000002		18.6
	13.243749999999997		13.4	18.86875		19
	13.200000000000001		13.2	19.606249999999996		19.3
	13.06875		12.9	18.362499999999997		18.7
	12.9375		13	17.968750000000004		18.2
	12.706249999999999		12.5	18.156250000000004		17.7
	12.237499999999997		12.1	17.54375		17.4
	11.6125		12	16.512500000000003		17.2
	11.65		12	16.59375		16.8
	11.812499999999996		11.9	16.912499999999998		17.2
	11.612499999999999		11.6	17.84375		17.8
	11.81875		11.4	17.40625		16.9
	11.493750000000004		11.6	17.36875		17.5
	11.881250000000001		11.7	17.7		17.5
	11.587499999999999		11.6	17.825		18.3
	11.781250000000002		12.3	18.218750000000004		18.2
	12.368749999999999		12.1	18.21875		18.2
	11.95625		11.9	17.88125		17.8
	12.0375		11.9	16.94375		16.5
	11.3375		11.1	15.718749999999998		15.7
Sep.	10.575		10.7	15.399999999999999		15.4
	10.481250000000001			14.88125
	10.262500000000001			15.625000000000004
	9.95625			14.887499999999998
	10.056249999999999			14.999999999999998
	10.3			14.875
	10.63125			15.34375
	9.9875			14.500000000000002
	8.687499999999998			13.0875
	8.11875			13.062500000000002
	8.99375			13.212499999999999
	9.249999999999998			13.53125
	9.29375			13.75625
	9.337500000000002			13.44375
	8.993749999999999			12.793750000000001
	8.287500000000001			12.299999999999997
	7.5625			11.83125
	7.25			11.75
	7.875			11.58125
	7.718749999999999			11.68125
	6.95			10.737499999999999
	7.331250000000001			11.393749999999999
	7.2375			11.23125
	6.731249999999999			10.318750000000001
	7.312499999999998			10.237500000000002
	7.39375			10.543749999999998
	6.843749999999998			10.48125
	6.643749999999999			10.062499999999998
	5.9625			9.843750000000002
	5.6312500000000005			9.5125
Oct.	5.88125			8.98125
	5.4312499999999995			9.00625
	4.875000000000001			8.69375
	4.88125			8.356250000000001
	3.90625			7.987499999999999
	4.5375000000000005			8.05625
	4.025			7.462500000000001
	3.2874999999999996			7.331250000000001
	4.13125			7.55
	4.0875			7.124999999999999
	3.975			7.356249999999999
	4.0625			7.268750000000001
	3.95625			7.0625
	4.4			7.156249999999999
	4.375			7.437499999999999
	3.46875			6.799999999999999
	3.4875			7.06875
	3.8625000000000003			7.28125
	4.19375			7.137499999999999
	4.531249999999999			7.19375
	5			7.587500000000002
	4.4125000000000005			6.393750000000001
	3.425			6.3875
	3.6			5.86875
	3.6562499999999996			5.937499999999999
	3.24375			5.937500000000001
	3.4812499999999997			6.325
	3.6125			6.2124999999999995
	3.24375			5.924999999999999
	3.19375			6.137500000000001
	2.9874999999999994			5.075
Nov.	2.1875000000000004			4.8812500000000005
	1.70625			4.75
	2.1812500000000004			4.675
	1.3250000000000002			4.28125
	1.11875			4.15625
	0.8312499999999999			3.6312499999999996
	0.11250000000000027			3.0812500000000007
	0.05624999999999994			2.6624999999999996
	-0.2062500000000001			2.78125
	0.012500000000000143			2.7
	-0.96875			2.33125
	-1.5999999999999996			1.85
	-0.20000000000000004			3.0374999999999996
	-0.91875			2.3125
	-1.8750000000000007			1.08125
	-2.40625			0.58125
	-2.675			0.6124999999999999
	-3.4125			-0.0124999999999999
	-2.48125			0.7062499999999998
	-1.9624999999999995			1.66875
	-2.1875			1.0812499999999998
	-2.5624999999999996			0.9687500000000002
	-2.3999999999999995			0.5687499999999998
	-2.25			0.7562500000000001
	-2.3000000000000003			0.6312500000000001
	-3.0687500000000005			0.8625
	-2.6375			0.7625000000000002
	-1.9374999999999998			1.0499999999999998
	-2.4625			0.9875
	-2.6062500000000006			0.1937500000000001
Dec.	-2.5125			0.7125
	-2.2875			0.7625
	-1.7937500000000002			1.06875
	-1.7			1.5875000000000004
	-2.0687499999999996			0.89375
	-2.5374999999999996			0.6375
	-1.9312500000000001			0.89375
	-2.1187500000000004			0.25000000000000006
	-2.3687499999999995			1.0062499999999999
	-2.3500000000000005			0.71875
	-2.2812499999999996			0.6499999999999999
	-2.475			1.4687500000000002
	-2.3437500000000004			1.04375
	-2.5187500000000003			0.45625000000000004
	-2.3125			0.7437499999999999
	-2.1875			1
	-1.7199999999999998			1.3666666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

27°C

Highest Temp

31 Jul. 26

-19°C

Lowest Temp

15 Feb. 26

Seasonal Breakdown

Hottest MonthAugust21.41°C

Coldest MonthFebruary-12.83°C

Wettest MonthJuly6.07mm

Windiest MonthApril21.78km/h

Tapa 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 Tapa historically?

July is historically Tapa's hottest month, with average maximum temperatures around 21°C. During peak heatwave events, the highest recorded temperatures have reached 32°C on 2010-08-08.

2. What is the coldest month in Tapa historically?

February is Tapa's coldest month, with average minimum temperatures around -6°C. The all-time record low of -23°C was recorded on 2021-02-18.

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

Tapa's average annual rainfall is approximately 701.2mm, based on records spanning 17 years.

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

Tapa historically records approximately 223 rainy days per year. June has the highest number of rain days at an average of 17.9 days.

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

The all-time highest temperature recorded in Tapa is 32°C on 2010-08-08.

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

The all-time lowest temperature recorded in Tapa is -23°C on 2021-02-18.

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

Tapa experiences its strongest winds during December. The historic gust record of 51.1 kph was recorded on 2013-12-13.

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

Usually, Tapa's humidity peaks in February at around 90.6% and drops to its lowest in May at approximately 72.7%.

Recent Blogs On Weather

See all blogs

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

Tapa 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

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

Tapa 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

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