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

Sasayama Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.6687500000000001	-0.1		6.4	5
	-0.40625000000000006	-1.1		7.26875	4.1
	0.024999999999999994	-2.2		6.86875	5.6
	-0.0875	-2.9		7.318750000000001	7.7
	0.23125000000000004	1		6.887499999999999	9.2
	0.8375	0.3		6.8687499999999995	6.1
	-0.06250000000000003	0.1		6.406250000000001	8.2
	0.06874999999999996	-0.8		6.4437500000000005	4.4
	-0.10625000000000001	-2.4		6.5875	5.6
	-0.35624999999999996	0.6		5.91875	10.6
	-0.16874999999999996	-2.4		6.8374999999999995	6.7
	-0.26250000000000007	-2		6.312500000000001	4.5
	-0.5874999999999999	0.7		6.6875	10.6
	-0.22499999999999998	-0.6		6.800000000000001	6.9
Jan.	-0.2624999999999999	0.4		6.68125	9.6
	-0.14375	4.2		6.275	13.1
	-0.3374999999999999	3.6		6.643749999999999	13.1
	-0.28125	1.1		6.81875	7.8
	-0.012500000000000032	0.4		6.73125	10.1
	0.6125	-2.1		7.58125	6.6
	0.43125	-2.2		7.262500000000001	4.1
	0.8000000000000002	-3.4		7.14375	2.3
	0.5437500000000001	-3.6		6.468749999999998	4.6
	-0.94375	-2.5		5.65	5.3
	-1.65625	-2		5.4750000000000005	2.3
	-1.08125	-4.5		6.1625000000000005	3.5
	-0.8062500000000001	-3.1		6.481249999999998	7.6
	-0.28125	-1.1		6.831250000000001	4.2
	-0.5875	-1.3		6.549999999999999	5.6
	-0.17500000000000002	-2		6.6812499999999995	3.1
	-0.45	-2.4		6.4312499999999995	4.3
	-0.425	-2		7.4625	7.1
	0.38749999999999996	-1.5		7.9624999999999995	7.1
	0.006249999999999999	-2.7		7.749999999999999	6.6
	-0.13125000000000006	-0.9		7.4937499999999995	9
	-0.48750000000000004	1.6		5.98125	12.4
	-0.54375	2.6		5.99375	12.9
	-0.7875000000000001	0.8		6.824999999999999	5.1
	-1.05	-3.5		5.79375	1.4
	-0.4	-6.2		5.98125	5.6
	-0.48749999999999993	-4.6		6.225	7.3
	-0.6375	3.3		6.543750000000001	7.5
	-0.18749999999999994	-1.2		7.7875000000000005	9.4
	1.2437500000000001	-0.8		7.324999999999999	12
	0.80625	1.9		8.368749999999999	12.6
Feb.	1.3249999999999997	5.4		8.143749999999999	16.3
	0.024999999999999994	2.4		7.4875	10
	-0.6062500000000001	-0.8		7.31875	9.3
	-0.5875	-0.7		6.893750000000001	11.5
	-0.11249999999999999	-1.6		7.25625	7.5
	0.76875	-0.9		8.262500000000001	10.3
	0.2125	1.5		7.575	13.2
	0.7875000000000001	5.1		9.14375	17.7
	1.0625	5.1		9.3	16.2
	0.7062500000000002	1.8		8.88125	16.4
	1.0124999999999995	7.9		9.587499999999999	10.3
	1.7187500000000002	6.8		9.043750000000001	12.8
	1.33125	5.9		9.2375	15.4
	1.9000000000000004	5.6		10.63125	10.7
	2.71875	2.6		11.124999999999998	13.2
	2.4375	3.2		10.13125	11
	1.31875	6.3		8.6625	10.9
	1.5312500000000002	2.9		10.325000000000001	9.1
	2.9875	0.8		11.46875	10.6
	2.9999999999999996	1.4		10.15625	13.2
	2.5937499999999996	1.5		9.9	9.2
	2.85	0		10.6	8.3
	2.16875	-0.8		10.89375	10.8
	1.3	-0.6		9.4	7.3
	1.9999999999999998	-0.8		10.593750000000002	10
	2.2562499999999996	-0.6		12.781249999999996	10.8
	3.40625	2		12.33125	7.9
	3.0687499999999996	3.8		11.65625	10.1
Mar.	2.8562499999999997	2		11.906250000000002	9.9
	3.05	0.5		11.881250000000003	12.7
	2.3312500000000003	1		11.262500000000001	13.9
	3.2750000000000004	1.6		12.762499999999998	14.4
	4.25625	3.7		12.812500000000002	12.9
	4.0375	0.8		13.818749999999998	14.4
	4.081250000000001	-0.1		12.149999999999999	14.3
	3.1812500000000004	2.1		12.45	14
	2.83125	7.9		12.09375	16.1
	3.375	3.3		12.293750000000001	15.4
	3.7249999999999996	4.2		12.006249999999998	16.6
	4.1125	5.7		12.468750000000002	14.6
	3.54375	3.8		13.4125	18.2
	4.61875	6.7		14.350000000000001	19.1
	4.58125	7		14.649999999999999	20.6
	4.8125	10.5		14.475	20.8
	5.06875	10.2		14.787500000000001	21.2
	5.1625	9.9		15.325000000000001	11.4
	5.24375	6		15.137500000000001	15.7
	5.5375000000000005	4.3		15.13125	18.2
	5.4625	11.1		16.125	17.2
	6.075	10.9		15.6625	18.5
	7.0375	10.3		15.64375	20.2
	5.76875	3.5		15.375	13.2
	5.9625	2		15.487499999999997	16.5
	6.03125	6		16.05625	16.6
	6.2562500000000005	14.9		16.262499999999996	19.4
	7.043750000000001	11.1		16.01875	22.8
	6.743749999999999	9.8		16.05625	19.4
	6.531249999999999	8.9		15.893750000000002	23
	7.46875	9.9		16.46875	23.6
Apr.	7.406250000000001	11.7		15.968749999999998	18
	7.04375	6.8		17.45	17.2
	8.225000000000001	6.4		17.8	20.1
	8.600000000000001	9.8		18.956250000000004	22
	8.4	11.8		17.8625	22.1
	8.062499999999998	14.2		18.593750000000004	23.4
	8.831249999999999	7.3		18.556250000000002	18.8
	9.187499999999998	6.2		17.84375	20.4
	8.88125	9.3		17.79375	12.2
	9.8375	7.3		17.675	17.1
	8.7625	6.2		18.687499999999996	21.1
	8.73125	11.6		18.73125	21.5
	9.275000000000002	10.9		18.7125	19.8
	9.387500000000001	10.9		18.40625	22.5
	9.368749999999999	11.3		18.54375	19.3
	9.74375	10.2		19.493750000000002	13.3
	10.34375	11.5		19.731250000000003	17.9
	9.775	8.5		19.575000000000003	22.9
	9.731250000000001	12.9		20.8	19.1
	10.462499999999999	8.5		21.09375	19.1
	10.637500000000001	6.5		21.1375	20.7
	11.612499999999999	10.1		21.712500000000002	20.1
	11.550000000000002	11		19.474999999999998	24.7
	10.33125	9.9		20.862499999999997	23.3
	10.3625	8.1		20.299999999999997	20.7
	11.0375	6.1		20.056250000000002	23.1
	11.26875	10.3		20.800000000000004	23
	11.94375	13.8		21.0125	23.3
	12.424999999999999	12.8		21.24375	24.5
	11.9625	10.8		21.70625	24.5
May	11.862500000000002	10		22.3875	26
	12.831249999999999	11.1		22.20625	25.8
	13.175000000000002	11.8		22.799999999999997	28.7
	13.231250000000001	11.8		23.53125	28.5
	13.125	14.9		22.687499999999996	27.8
	13.606250000000001	16.6		23.55625	25.6
	13.875	20.1		23.450000000000003	21.5
	12.69375	13.2		23.69375	21.9
	12.706250000000002	13.2		22.4	23.2
	13.48125	16.9		23.75625	26
	13.987499999999999	14.2		24.768749999999997	28.9
	14.087500000000002	17.1		22.6125	27.1
	13.7125	17.2		22.974999999999998	20.8
	14.568750000000003	18.2		23.39375	25.2
	14.593750000000004	11		23.025	26.3
	13.837500000000002	10.3		23.03125	27.8
	13.85625	16.7		23.39375	29.2
	14	17.7		23.712500000000002	27.8
	14.6	18.3		24.149999999999995	19.9
	14.51875	15.9		24.14375	24
	14.15625	14.4		24.550000000000004	26.2
	14.462499999999999	17.2		24.081249999999997	23.7
	15.200000000000001	16.3		24.068749999999998	26.5
	15.175	17.7		24.618750000000002	20.2
	15.400000000000002	17.2		24.312500000000004	23.7
	15.48125	14.8		25.51875	24.1
	16.58125	12.1		25.2625	25.6
	16.643749999999997	11.9		24.537499999999998	26.2
	16.80625	14.3		24.793750000000003	27.2
	16.450000000000003	14.6		25.012500000000003	27.5
	16.66875	16.5		24.59375	25.5
Jun.	16.9	15.2		25.112499999999997	26.4
	16.925	14.2		25.431250000000002	24.3
	16.65625	17.9		27.05625	27.4
	17.54375	18.2		25.587500000000002	28.8
	17.6875	19		25.90625	30.8
	17.425000000000004	21.2		25.612500000000008	23.6
	18.262500000000006	19.5		25.718750000000004	26.8
	17.88125	17.9		25.512500000000003	24.3
	18.025000000000002	16.2		25.8125	24
	18.193749999999998	14.8		26.81875000000001	24.1
	18.28125	18.1		27.45	20.8
	19.175	19.2		25.4375	22.3
	19.637500000000003	16.9		26.412499999999998	24.8
	19.4375	18.2		27.16875	26
	19.456250000000004	17.1		26.931250000000002	28.8
	19.775000000000002	17.8		27.662499999999998	28.2
	20.36875	18.8		27.11875	25.6
	20.6625	17.8		28.093750000000004	25.6
	20.78125	15.5		27.3875	29.4
	21.0375	18		27.056250000000002	21.1
	20.599999999999998	20		27.49375	22.5
	20.65625	20.4		27.893749999999997	22.4
	21.11875	19.8		27.643749999999997	29.7
	21.106249999999996	21		28.687500000000004	27.5
	21.7125	20.8		28.3625	30
	21.331249999999997	20.9		29.174999999999997	30.6
	21.581250000000004	22.1		29.081249999999997	30.1
	21.7	22.9		28.3	31.8
	21.643750000000004	23.3		28.11875	34
	21.3875	22		28.15	34.4
Jul.	21.56875	23.1		28.54375	32.7
	21.6	23.4		29.043750000000003	34.4
	21.475	21.9		29.343749999999993	34.9
	21.6375	24.5		29.449999999999996	33.3
	21.7625	24.2		29.168750000000003	32.8
	22.025000000000006	24.5		30.456249999999994	34.4
	22.1375	23.9		30.3625	35.5
	22.21875	24.3		30.41875	35.8
	22.4375	23.7		30.350000000000005	37.8
	22.306250000000002	23.2		30.81875	37.1
	22.5375	22.7		30.875000000000007	36.2
	22.79375	22.5		30.781249999999996	36.5
	22.55625	22.7		30.224999999999998	33.9
	22.6375	22		30.737499999999997	32.2
	22.9	21.3		30.881250000000005	30.9
	23.0875	24		31.512500000000006	36
	23.28125	22.1		31.93125	35.4
	23.075000000000003	22.4		31.787499999999998	37.2
	23	23.5		32.043749999999996	35.2
	22.999999999999996	23.3		31.643749999999994	36.3
	23.224999999999994	24.3		32.18125	32.2
	23.5375	21.6		32.143750000000004	35.2
	23.6	23.2		31.8625	35.1
	23.250000000000004	23.7		31.087500000000006	35.7
	22.8375	22.9		31.400000000000002	35.7
	22.91875	23.4		31.181250000000002	31.5
	23.2875	19.1		31.44375	31.3
	23.2	17.9		31.23125	28.4
	22.69375	22		30.162500000000005	28.1
	22.568749999999998	20.1		31.143749999999997	30.7
	23.293749999999996	20.9		31.006250000000005	31.8
Aug.	23.349999999999998		21.3	29.818749999999998		33.7
	23.362499999999997		21.4	30.743749999999995		30.1
	22.931250000000002		22.5	29.706249999999997		32.3
	22.493750000000002		21.7	31.056250000000002		34.3
	22.4875		22.1	30.63125		35.8
	22.750000000000004		23.6	30.806249999999995		35.4
	23.21875		24.1	30.987499999999997		31.3
	23.187500000000004		23.8	31.543749999999996		32.2
	23.231249999999996		25	30.25		32
	22.818749999999994		22.5	30.00625		30.6
	22.750000000000004		22.4	29.8375		30.4
	22.44375		22	30.4375		31
	21.96875		21.6	30.45625		30.5
	21.6		21.3	29.725000000000005		29.9
	21.91875		21.8	30.406250000000004		30.5
	22.418750000000003		21.7	29.393749999999994		30.1
	21.943749999999998		21.9	29.45625		29.3
	21.50625		21.3	27.71875		28.3
	21.3125		20.9	28.518749999999997		29.2
	21.325		21.3	28.843750000000004		29.2
	21.475		21.5	27.974999999999998		28.4
	21.218750000000004		21.1	28.8		29.3
	21.05		20.9	28.693749999999998		29.3
	20.887499999999996		20.4	28.293749999999996		28.6
	20.843750000000004		20.4	27.924999999999997		28
	20.69375		20	28.268749999999997		28.4
	20.268749999999997		19.4	28.737500000000004		29
	20.325		19.8	27.837500000000006		28.3
	20.3875		19.8	28.10625		28.7
	20.150000000000002		19.8	28.41875		28.3
	19.937499999999996		19.5	27.3625		27.9
Sep.	19.8			27.906250000000004
	19.5375			27.025
	19.737499999999997			26.593749999999996
	20.06875			27.843750000000004
	19.30625			26.268749999999997
	18.3			25.3125
	18.25			25.3375
	17.712500000000002			25.043750000000003
	17.31875			24.8875
	17.30625			24.193749999999998
	16.90625			25.175
	16.974999999999998			25.08125
	17.15			25.606250000000003
	16.65625			25.35625
	16.70625			24.668750000000003
	16.506249999999998			24.587500000000006
	16.35			24.675
	16.425			24.343749999999996
	15.831249999999999			24.425
	15.84375			23.1625
	15.66875			22.537499999999998
	15.25625			22.200000000000006
	14.656250000000002			22.862499999999997
	15.024999999999997			23.29375
	15.0625			22.118750000000002
	15.074999999999998			23.13125
	15.156250000000002			22.718750000000004
	14.375			21.599999999999998
	13.768749999999999			21.19375
	13.243749999999999			21.618750000000002
Oct.	13.768749999999999			21.325000000000003
	13.006249999999998			21.231250000000003
	12.9125			20.250000000000004
	12.450000000000003			20.64375
	12.84375			20.293749999999996
	12.637499999999998			20.16875
	12.362499999999999			19.45625
	12.512500000000001			19.843749999999996
	12.38125			19.650000000000002
	11.9375			19.5
	11.1125			17.71875
	10.456249999999999			18.9625
	10.39375			19.393749999999997
	10.175			18.199999999999996
	10.499999999999998			17.137500000000003
	9.925			17.63125
	9.756249999999998			17.61875
	9.887500000000001			18.056250000000002
	9.887500000000001			17.9375
	10.193750000000001			17.837500000000002
	9.10625			17.525
	9.156249999999998			17.712500000000002
	9.81875			18.3625
	9.58125			17.562499999999996
	10.18125			16.7875
	9.531250000000002			16.4375
	8.250000000000002			15.14375
	7.825			15.043750000000001
	8.28125			15.5375
	7.8			15.5
	7.9875			15.262499999999996
Nov.	7.575000000000001			14.931250000000002
	7.225			15.28125
	7.543749999999998			15.04375
	7.4312499999999995			14.39375
	6.4875			14.100000000000003
	6.75625			14.21875
	6.4			14.8375
	6.637499999999999			14.212500000000002
	6.84375			14.54375
	5.949999999999999			13.1375
	5.618750000000001			12.418750000000001
	5.45625			13.300000000000002
	5.6			13.09375
	5.7625			13.0625
	5.456250000000002			12.56875
	5.3500000000000005			12.825
	4.70625			12.168749999999998
	3.6250000000000004			11.131250000000001
	3.8249999999999997			11.406250000000002
	3.975			11.349999999999998
	3.325			10.4
	3.4937500000000004			10.581249999999999
	3.681250000000001			10.16875
	3.0874999999999995			9.90625
	2.66875			10.15
	3.33125			10.975
	3.525000000000001			10.51875
	3.1062499999999997			9.306249999999999
	2.5625000000000004			9.331249999999999
	2.0625			9.11875
Dec.	2.09375			9.218750000000002
	1.9875000000000003			9.19375
	1.3375000000000001			7.231249999999999
	0.26250000000000007			7.15625
	1.01875			8.637500000000001
	1.2687500000000003			7.831250000000001
	1.3375			8.543750000000001
	1.9562500000000003			8.631250000000001
	2.2375			8.825
	1.30625			8.46875
	0.7375			7.0375000000000005
	0.21250000000000008			6.431249999999999
	0.03749999999999998			6.65625
	0.1875			7.3687499999999995
	0.63125			7.462500000000001
	0.86875			7.962500000000002
	0.5133333333333333			7.373333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

38°C

Highest Temp

23 Jul. 26

-6°C

Lowest Temp

9 Feb. 26

Seasonal Breakdown

Hottest MonthAugust33.17°C

Coldest MonthJanuary-1.04°C

Wettest MonthJune10.08mm

Windiest MonthMarch19.28km/h

Sasayama 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 Sasayama historically?

August is historically Sasayama's hottest month, with average maximum temperatures around 31°C. During peak heatwave events, the highest recorded temperatures have reached 38°C on 2026-07-23.

2. What is the coldest month in Sasayama historically?

January is Sasayama's coldest month, with average minimum temperatures around 0°C. The all-time record low of -9°C was recorded on 2023-01-25.

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

Sasayama's average annual rainfall is approximately 1755.5mm, based on records spanning 17 years.

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

Sasayama historically records approximately 203.3 rainy days per year. July has the highest number of rain days at an average of 24.5 days.

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

The all-time highest temperature recorded in Sasayama is 38°C on 2026-07-23.

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

The all-time lowest temperature recorded in Sasayama is -9°C on 2023-01-25.

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

Sasayama experiences its strongest winds during March. The historic gust record of 60.9 kph was recorded on 2017-10-23.

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

Usually, Sasayama's humidity peaks in July at around 81.9% and drops to its lowest in April at approximately 73.5%.

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

Sasayama 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

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

Sasayama 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

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