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

Nagahama Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.8125	-0.4		5.7125	5
	-0.05000000000000002	-2		6.4875	3.9
	-0.12500000000000006	-1.3		6.05625	3.3
	-0.3999999999999999	-1.8		6.3500000000000005	5.9
	-0.5312500000000001	0.3		6.0687500000000005	8.9
	-0.24374999999999997	-1.7		6.206249999999999	5.7
	-0.8437500000000001	-2		5.762499999999999	7.2
	-0.19375000000000003	-3		6.1499999999999995	3.3
	-0.8124999999999999	-3.5		6.1000000000000005	4.4
	-1.1812499999999997	-1.5		5.66875	10.7
	-1.3125	-2.8		6.075	5.8
	-1.05	-3.3		5.875000000000002	4.1
	-0.8750000000000001	-0.6		5.825	9.3
	-1.3375000000000001	-1.5		5.8625	5.1
Jan.	-0.7937499999999996	-1.1		6.0249999999999995	8.3
	-1.0687499999999996	2.9		5.4937499999999995	11.4
	-0.8687500000000001	2.3		5.918749999999999	11.6
	-0.9750000000000003	2.9		6.15625	7.6
	-1.0125	1.8		6.33125	9.2
	-0.5375000000000001	-1.1		6.9625	7.2
	-0.43750000000000006	-1.3		6.656250000000001	3.3
	-0.23750000000000004	-2.2		6.643750000000001	0.5
	-0.3687500000000001	-4.1		6.175000000000002	2
	-1.5	-3.8		5.512500000000001	3.4
	-2.0937499999999996	-2.3		4.8875	0.6
	-1.83125	-4.8		5.05625	2.1
	-1.2125000000000006	-4.2		5.900000000000001	4.9
	-1.4437499999999996	-1.3		6.0562499999999995	4.3
	-1.1249999999999998	-2.6		5.887500000000001	4
	-1.3562500000000002	-2.9		5.825000000000001	1.3
	-1.4937500000000004	-3.6		5.60625	2.6
	-1.3499999999999999	-3.1		6.512499999999999	4.4
	-0.4	-1.8		6.799999999999999	5.2
	-0.4499999999999999	-2.3		6.7562500000000005	4.5
	-1.0437500000000002	-2.6		6.306250000000001	6.7
	-1.1375	0.5		5.4624999999999995	10
	-1.2187500000000002	3.2		5.312499999999999	9.9
	-1.3562499999999997	1.2		6.137499999999999	5.6
	-1.8062499999999997	-2.3		5.03125	3
	-1.5125000000000002	-2.6		5.4875	3.7
	-1.0875	-2.9		5.49375	6.8
	-1.2125	3.1		5.93125	5.8
	-1.2125	0.9		7.18125	7.4
	0.21250000000000002	0.3		6.8687499999999995	9
	0.07499999999999982	2.3		7.95	11.5
Feb.	0.09374999999999993	4.8		7.30625	14.8
	-0.6624999999999999	2.8		6.893749999999999	10
	-1.1375	1.7		6.39375	7.5
	-0.8999999999999998	0.5		6.0125	8.5
	-0.5375000000000003	-0.3		6.99375	5.2
	0.14375	-0.3		7.60625	8.1
	-0.5187499999999998	1.7		7.46875	11.8
	0.21875000000000006	3.9		8.981250000000001	15.6
	0.825	6.5		8.55	12.4
	0.07499999999999987	3.8		8.13125	14.2
	0.4125	9.4		8.575000000000001	11.1
	1.2375	7.7		8.924999999999999	12.2
	0.8500000000000001	6.8		8.95	14.1
	1.3687499999999997	5.9		10.168750000000001	10.8
	2.30625	4.4		10.525	12
	2.03125	4.2		9.262500000000001	11.9
	0.7874999999999999	8.3		8.25625	11.4
	1.2999999999999996	3.8		9.9625	7.8
	2.51875	3.1		10.712499999999999	9
	2.425	2.4		9.96875	12.9
	1.7812500000000002	2.6		9.86875	8.7
	2.21875	1		10.4375	6.7
	2.1874999999999996	0.7		11.150000000000002	8.3
	1.5937499999999998	1.4		9.04375	6.3
	1.74375	0.3		9.88125	7.9
	2.4375000000000004	1		12.3875	8.8
	2.8312500000000003	1.8		12.093749999999996	7.8
	2.7125	3.5		11.243750000000004	10.1
Mar.	2.83125	4.1		11.806249999999999	10.2
	2.75	2.6		11.35	11
	1.59375	2.3		10.962500000000002	12.1
	2.69375	2.4		12.856249999999998	13.6
	4.293749999999999	4.2		12.687499999999998	10
	3.5124999999999993	3		13.35	11
	3.69375	1.5		11.306249999999999	11.2
	3.0625000000000004	2.5		11.774999999999999	12.6
	3.0812500000000003	6.7		11.39375	14.6
	3.5750000000000006	6		11.91875	13.3
	4.05625	7.1		12.037500000000001	15.4
	4.40625	8.7		11.29375	11.4
	3.73125	4.9		13.69375	15.4
	4.6499999999999995	6.1		14.475000000000001	17.3
	4.706250000000001	7.7		14.181249999999999	17.9
	5.043749999999999	10.2		14.38125	20.1
	4.925000000000001	10.6		14.39375	15.1
	5.574999999999999	10.2		15.512500000000001	11.3
	5.656250000000001	5.9		14.631250000000001	11.3
	5.875	4.2		14.35	16.1
	6.2375	9.1		15.675000000000002	13.9
	6.36875	11.7		15.41875	16.2
	7.131250000000001	10.2		15.05625	19.8
	5.918749999999999	6.1		14.79375	13.1
	6.1625	3.9		14.368749999999999	14.2
	6.2125	5.8		15.59375	15.7
	5.8999999999999995	11.5		15.93125	14.2
	7.0125	11		15.925000000000002	18.7
	6.787499999999999	9.1		15.33125	17.1
	6.5687500000000005	9.2		16.09375	20.2
	7.925	10.9		16.79375	21.3
Apr.	7.7437499999999995	13.5		15.5375	15.5
	7.406250000000001	9.2		17.63125	17.5
	8.33125	9.4		16.89375	19.3
	8.85	9.2		18.343750000000004	19.8
	8.531249999999998	11.6		17.025	20.2
	8.725	12.7		17.631249999999998	21
	9.231250000000001	8		17.71875	16.5
	9.7125	6.8		17.4	19.7
	8.9	11.8		16.9875	12.8
	9.712500000000002	9.9		17.456249999999994	17.6
	8.924999999999999	9.5		18	16.8
	8.625	9.9		18.250000000000004	18.8
	9.50625	12.7		18.90625	16.9
	9.89375	10.2		18.40625	21.4
	9.7125	11.5		18.58125	16.4
	10.04375	11		19.45625	12.8
	10.78125	10.9		19.3125	15.1
	10.006249999999998	9.9		19.518749999999997	19.4
	10.41875	11.9		20.3625	18.1
	10.825000000000001	9.2		21.150000000000002	18.3
	11.2625	7		21.000000000000004	18.9
	11.7625	10.8		21.55625	19.9
	11.46875	11.2		18.8125	23.5
	10.212499999999999	9.4		20.0125	19.9
	10.456249999999997	8.6		20.356249999999996	16.6
	11.256250000000001	7.2		19.762500000000003	20
	11.331249999999999	10.9		20.4375	22.3
	11.712500000000002	13.9		20.418749999999996	22.2
	12.2625	13.2		21.1375	22.3
	11.9	12		21.39375	22.5
May	12.04375	11.6		22.70625	23.7
	12.862499999999999	13.4		21.525000000000002	24.3
	13.4125	12		22.431250000000002	24.8
	13.4375	13.7		23.624999999999996	28
	13.281250000000002	14.1		22.450000000000003	27.4
	13.524999999999999	15.4		23.868750000000002	25.7
	14.125000000000002	18.5		23.368750000000002	20.6
	13.24375	15.5		23.1875	20
	13.143749999999997	15.3		22.450000000000003	18.9
	13.493749999999999	14.1		23.787499999999998	23.1
	14.237499999999999	14		24.700000000000003	25.3
	14.49375	15.7		22.156250000000004	25.7
	14.0375	16.1		23.13125	22
	14.881249999999998	18		23.431249999999995	25.4
	14.4375	11.6		23.099999999999998	21.2
	14.18125	11.1		23.46875	25.8
	14.206249999999999	16.4		23.525000000000002	27.3
	14.175	16.1		23.56875	28
	14.60625	15.8		23.76875	18.4
	15.087499999999999	16.3		23.937500000000004	21.1
	14.368749999999999	17.1		24.674999999999997	21.4
	14.562500000000002	16.8		24.493750000000002	21.6
	15.218749999999998	16.6		24.325	23.3
	15.5875	16.9		24.218750000000004	19.9
	15.6875	16.3		24.25	23.9
	15.818750000000003	16.1		25.2875	20.6
	16.75	13.2		25	23.1
	16.6375	12.3		24.39375	24.8
	16.7625	15		25.243750000000002	25.8
	16.562500000000004	14.9		25.4125	25.7
	16.65	16.4		24.306250000000002	24.8
Jun.	16.88125	16		25.60625	23.2
	16.99375	15.2		24.71875	24
	16.956249999999997	16.5		26.525000000000002	24.5
	17.68125	18		26	27.1
	17.787499999999998	17.8		26.275000000000002	29.1
	17.668750000000003	19.6		25.143749999999997	21.3
	18.131249999999998	19.6		25.8	26.9
	17.837500000000002	18.4		25.793750000000003	20.6
	17.89375	16.7		26.087500000000002	24.1
	17.8375	15.6		26.806250000000002	24.2
	18.318749999999998	18.7		27.399999999999995	20.9
	19.300000000000004	19.4		26.143750000000008	22.2
	19.23125	19.2		26.743750000000002	24.6
	19.449999999999996	18.8		27.3	25.1
	19.35625	17.9		27.35625	27
	19.75625	18.8		27.868749999999995	26.7
	20.224999999999998	18.9		27.281250000000004	25.4
	20.15	19.7		28.531250000000004	23.1
	20.599999999999998	18.6		27.718749999999996	25.3
	20.475	19.1		26.8875	23.4
	20.54375	20.1		27.606249999999996	22.5
	20.637499999999996	20		28.05	21.5
	20.787499999999998	19.4		27.51875	26.9
	21.125	19.5		29.25625	27.9
	21.606249999999996	19		28.918749999999996	29.9
	21.212500000000002	19.5		28.9125	30.9
	21.46875	20.4		29.50625	29.7
	21.3375	23		28.925	29.5
	21.31875	22.3		27.925	29.3
	21.193749999999998	22.1		28.612499999999997	31
Jul.	21.53125	22.4		29.075000000000003	33.1
	21.64375	22.1		29.25	31.3
	21.587500000000002	22.6		29.593750000000007	33
	21.868750000000002	24.7		29.493750000000006	32.9
	21.83125	24.4		29.293749999999996	32.5
	21.918750000000003	23.8		30.750000000000004	33.9
	22.056250000000002	24.2		30.868750000000002	33.5
	22.481250000000003	24.5		30.39375	34.3
	22.243750000000006	23.7		30.13125	34.4
	21.89375	22.8		30.775000000000002	34.5
	22.35	23.9		31.506249999999994	33.5
	22.7	22.6		31.537499999999998	33.1
	22.637499999999996	23.8		30.287499999999994	33.2
	22.349999999999998	22.6		31.087500000000006	29.6
	22.76875	22.4		30.912499999999998	29.7
	22.781249999999996	23.8		31.568750000000005	32.4
	22.98125	22.6		32.1	32.2
	22.625	22.2		31.96875	32.4
	22.76875	24.2		32.03125	32.2
	23.025000000000002	24.4		31.55625	30.9
	23.100000000000005	23.6		32.03125	30.5
	23.4625	23.5		32.54375	32.8
	23.443749999999998	22.9		32.087500000000006	33.7
	23.2125	23.7		31.65625	33.5
	23.043750000000003	23		31.656250000000007	33
	23.125000000000004	22		31.368750000000002	30.3
	22.912499999999994	21.8		31.31875	29.6
	22.550000000000004	20.5		31.24375	28
	22.506249999999998	22.8		30.61875	27
	22.6625	22.6		31.36875	26.2
	23.268749999999997	21.7		31.181250000000006	30.4
Aug.	23.143749999999997		22.1	30.150000000000002		29.9
	23.21875		22.5	30.812499999999993		29.4
	22.743750000000006		22.7	30.099999999999998		31.1
	22.587500000000002		22.3	31.031249999999996		33.1
	22.475		22.4	30.743750000000002		33.5
	22.6875		23.6	31.25625		32.4
	23.05		24.9	31.30625		31.3
	23.074999999999996		24.7	31.712500000000006		31.6
	22.93125		24.8	30.3		30.1
	22.61875		22.2	30.618750000000006		30.3
	22.4		22	29.875000000000004		29.7
	21.906250000000004		21.7	30.8125		30.6
	21.78125		21.5	30.48125		29.9
	21.593750000000004		21.6	29.749999999999996		29.5
	21.743750000000006		21.5	30.575000000000003		30.5
	21.837499999999995		21.6	29.7375		29.8
	21.656249999999996		21.5	29.881249999999998		29.6
	21.28125		21.3	28.50625		28.5
	21.4375		21.1	29.05625		29.1
	21.299999999999997		21.3	28.937500000000004		28.5
	21.187500000000004		21	27.80625		27.7
	20.99375		21	28.80625		29.2
	21.06875		21.1	29.00625		28.8
	21.05		20.8	28.612499999999997		28.9
	20.781249999999996		20.5	27.725		27.3
	20.25625		19.9	28.424999999999997		28
	20.106250000000003		19.6	28.937500000000004		28.6
	20.2875		19.8	28.0875		28
	19.7125		19.7	28.025		28
	20.062499999999996		19.8	28.45625		27.7
	20.01875		19.3	27.98125		27.9
Sep.	19.48125			27.649999999999995
	19.437500000000004			26.78125
	19.41875			27.225
	19.537499999999998			27.275000000000002
	19.00625			26.793750000000006
	18.40625			25.631249999999998
	17.8625			25.35
	17.9875			25.6875
	17.35			25.24375
	16.81875			24.61875
	16.93125			25.056250000000002
	16.96875			25.562500000000004
	17.13125			25.825
	17.04375			25.55
	16.68125			24.856249999999996
	16.40625			24.78125
	16.056250000000002			24.437500000000004
	16.2375			24.09375
	15.7375			24.6875
	15.612499999999997			23.474999999999994
	15.456249999999997			22.656249999999996
	15.487499999999999			22.3
	14.562500000000002			22.718749999999996
	14.656250000000002			23.5125
	14.731250000000001			22.731249999999996
	14.918750000000001			23.406250000000004
	15.0375			23.15
	14.625			22.13125
	13.475			21.48125
	13.262500000000001			21.875
Oct.	13.249999999999998			21.18125
	12.825000000000001			21.60625
	12.306250000000002			20.85625
	11.806249999999999			20.775000000000002
	12.450000000000001			20.7875
	12.05			20.437499999999996
	11.556250000000002			20.125
	11.993750000000002			19.725
	11.90625			19.825000000000003
	11.837500000000002			19.443749999999998
	10.937499999999998			17.95
	10.006250000000001			18.868750000000002
	10.24375			19.506249999999998
	10.0375			18.025000000000002
	10.262500000000001			17.2625
	9.681249999999999			17.5625
	9.275			17.312500000000004
	9.18125			17.90625
	9.5			18.13125
	9.74375			17.562499999999996
	9.3			17.375
	9.0625			17.8
	9.706249999999999			18.987499999999997
	9.33125			18.25
	9.0625			16.49375
	8.68125			16.35625
	7.912499999999999			15.25625
	7.2875			15.187499999999998
	7.606249999999999			15.856249999999998
	7.543749999999999			15.5875
	7.84375			15.35
Nov.	7.15			14.94375
	6.7625			14.94375
	7.156249999999999			14.750000000000002
	6.950000000000001			14.20625
	5.981249999999999			13.93125
	6.3125			13.862499999999999
	6.35625			14.54375
	6.575			14.1125
	6.89375			14.262500000000001
	5.7125			13.09375
	4.9375			12.4375
	5.062500000000001			13.01875
	5.5625			13.024999999999999
	5.175			12.906250000000002
	5.3687499999999995			12.362500000000002
	5.0687500000000005			12.768749999999999
	4.43125			11.781249999999998
	3.6687500000000006			10.812499999999998
	3.9312500000000004			11.268749999999999
	4.574999999999999			11.031249999999998
	3.51875			10.50625
	3.6875000000000004			10.3375
	3.5875			9.8875
	3.0062499999999996			10.018750000000002
	2.4000000000000004			9.675
	2.8874999999999993			10.893749999999999
	2.93125			10.375
	2.6624999999999996			9.125
	1.9500000000000002			8.75625
	1.7249999999999999			8.95
Dec.	1.4375			8.7
	1.45625			8.76875
	1.16875			7.062499999999999
	0.5187499999999999			6.550000000000001
	1.025			7.987500000000001
	1.3562500000000002			8.2625
	1.40625			8.24375
	1.49375			8.575000000000001
	1.56875			8.150000000000002
	0.925			8.112499999999999
	0.04999999999999993			6.787499999999999
	0.043749999999999956			6.012499999999999
	-0.08749999999999984			6.03125
	-0.5187499999999999			6.5249999999999995
	0.23749999999999993			6.668749999999999
	0.3187499999999999			6.956250000000001
	0.05999999999999999			6.846666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

35°C

Highest Temp

24 Jul. 26

-5°C

Lowest Temp

26 Jan. 26

Seasonal Breakdown

Hottest MonthAugust30.75°C

Coldest MonthJanuary-1.63°C

Wettest MonthJune10.14mm

Windiest MonthJanuary20.29km/h

Nagahama 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 Nagahama historically?

August is historically Nagahama's hottest month, with average maximum temperatures around 31°C. During peak heatwave events, the highest recorded temperatures have reached 36°C on 2019-08-10.

2. What is the coldest month in Nagahama historically?

January is Nagahama's coldest month, with average minimum temperatures around -1°C. The all-time record low of -8°C was recorded on 2018-02-06.

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

Nagahama's average annual rainfall is approximately 2293.2mm, based on records spanning 17 years.

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

Nagahama historically records approximately 230.1 rainy days per year. July has the highest number of rain days at an average of 22.1 days.

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

The all-time highest temperature recorded in Nagahama is 36°C on 2019-08-10.

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

The all-time lowest temperature recorded in Nagahama is -8°C on 2018-02-06.

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

Nagahama experiences its strongest winds during December. The historic gust record of 56.9 kph was recorded on 2018-09-04.

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

Usually, Nagahama's humidity peaks in July at around 82.5% and drops to its lowest in March at approximately 75.03%.

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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

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

Nagahama 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

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