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

Shangzhou Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-2.8125000000000004	-10.6		6.756249999999999	-2
	-2.71875	-7.3		5.64375	3
	-3.3437499999999996	-5.3		5.824999999999999	1.6
	-3.0625	-5.9		4.843749999999999	0.6
	-3.2624999999999997	-7.1		3.91875	0.8
	-4.118750000000001	-6.6		3.25	2.5
	-4.275	-5.4		3.59375	3.5
	-3.95	-2.4		4.0062500000000005	7.5
	-3.912500000000001	-3.9		4.35	9.3
	-3.6312500000000005	-5.5		3.8499999999999996	0.8
	-3.78125	-5.1		5.3375	2.8
	-2.99375	-2.6		6.39375	7.4
	-2.7687500000000003	-0.9		6.48125	7.7
	-2.775000000000001	-2.3		5.7124999999999995	5.7
Jan.	-3.7499999999999996	-2.3		4.0062500000000005	8.5
	-3.78125	-1.6		4.999999999999999	6.2
	-3.5	-4.3		5.36875	4
	-2.90625	-0.3		5.59375	4.2
	-2.556249999999999	-2.9		6.1937500000000005	1.4
	-2.5625	-7.2		4.937499999999999	-0.6
	-3.1250000000000004	-11.3		5.1	0
	-3.5187499999999994	-4		4.9750000000000005	5
	-3.6875000000000013	-6.4		4.831250000000001	9.1
	-4.05	-4.5		2.3875	9
	-4.51875	-2.8		4.4312499999999995	6.2
	-4.3125	-2.9		3.775	7.7
	-3.8875	-4.1		4.45625	7.3
	-3.8562499999999997	-3.5		4.625	9.4
	-3.325	-1.8		5.6625	2.7
	-3.225	-4.6		5.76875	3.2
	-3.256249999999999	-5.4		5.525	7.1
	-2.7	-3.6		6.175	8.6
	-2.5187500000000003	-4.2		5.387499999999998	9.4
	-2.5812499999999994	-2.1		6.356249999999999	10
	-2.6	-0.5		6.4437500000000005	11
	-2.325	-0.4		6.093749999999999	11.9
	-1.7625000000000002	1.9		5.2875	9.1
	-2.724999999999999	-4.6		5.312500000000001	4.3
	-2.96875	-6		5.04375	8.1
	-2.25	-0.1		6.4	9.6
	-1.95625	-3.4		6.63125	8.5
	-1.3874999999999997	-3.9		6.61875	11.9
	-1.5062499999999999	-1.2		7.45625	13.7
	-1.275	1.4		7.025	17.1
	-1.2999999999999998	1.1		6.781249999999999	19.5
Feb.	-1.5812500000000005	0.8		6.156250000000001	6.5
	-1.73125	-0.1		7.5062500000000005	3.8
	-1	-1.9		7.293749999999998	10.5
	-0.775	-0.9		7.787500000000001	12.7
	-0.38125000000000003	0.8		8.149999999999999	14.2
	-0.46249999999999997	1.1		7.781249999999999	20.2
	-0.36249999999999993	3.9		6.9437500000000005	20.1
	0.031249999999999965	2.5		9.375	15.3
	0.9625000000000002	-2.3		9.981250000000001	8.8
	1.2750000000000006	-3.5		10.175	13.1
	1.4500000000000002	2.6		9.924999999999999	9.3
	1.4937500000000001	3.5		9.31875	13.2
	1.6999999999999997	5.6		10.01875	9.1
	1.5375	5.2		8.8875	6
	1.3624999999999998	3.8		9.04375	4.7
	1.625	3.8		10.187499999999998	9.2
	1.43125	4.1		11.2625	14.2
	2.25625	2.3		11.34375	15.8
	2.9187499999999997	4.1		11.1125	14.6
	2.25625	1.4		10.287499999999998	10.1
	2.30625	3.8		12.075	5.4
	3.08125	3.7		12.837500000000004	13.3
	3.3125000000000004	4.7		12.2875	15.5
	3.49375	2		12.7625	19.3
	3.8625	5		13.593749999999998	19.3
	4.137499999999999	3.3		15.05625	14.6
	4.66875	5.2		15.118749999999999	9.6
	4.824999999999999	2.4		14.0625	6.6
Mar.	4.325	2.8		14.36875	8.5
	4.093749999999999	5		13.7875	8.2
	4.9625	5.4		13.75625	6.9
	5.58125	0.5		15.118749999999997	9.8
	5.7749999999999995	0.2		14.156249999999998	11.7
	4.5125	3.1		13.6375	16.9
	4.4375	4.4		13.975	14.7
	4.70625	3.8		13.925	17.2
	5.41875	7.7		14.556250000000002	12.7
	5.4125	6.7		14.043750000000003	18
	5.218749999999999	4.7		14.306249999999999	19.6
	6.300000000000001	5.2		16.59375	20.2
	6.55	7.3		17.975000000000005	21.4
	7.00625	8.3		17.5125	20.2
	7.25	7		16.95625	21.2
	7.749999999999999	10.6		16.65	16
	7.999999999999999	6.5		16.425	19.1
	7.481249999999999	4.9		18.15625	22.5
	7.987499999999999	7.2		17.39375	20
	7.906250000000001	6.6		16.1875	21.3
	7.1937500000000005	5		15.637500000000001	16
	7.39375	6.7		16.6375	25.1
	7.331250000000001	7.6		17.1125	24
	7.8687499999999995	8.1		17.6375	21.3
	8.681249999999999	8		19.337500000000002	13.8
	9.3875	6.7		20.481250000000003	25.9
	9.8	8.3		18.84375	24
	9.29375	9.4		18.1125	18
	8.00625	11.3		17.118750000000002	15.1
	7.4750000000000005	7.5		18.3	19.6
	8.54375	11.4		18.91875	22.2
Apr.	9.3625	8.8		20.40625	21.8
	10.2	9.8		21.543750000000003	21.5
	10.943750000000001	7.5		22.143749999999997	25.2
	10.91875	7.4		20.974999999999998	25.1
	9.868749999999999	9		19.48125	23.5
	10.20625	5		19.262499999999996	13
	9.8875	6.3		18.287499999999998	8.9
	9.28125	6.2		19.168750000000003	18.7
	9.95	3.3		20.487499999999997	22.2
	11.181250000000002	5.3		19.881249999999998	25.4
	10.05	6.9		19.756249999999998	27
	9.912500000000001	8.8		21.4375	28.8
	10.768749999999997	12.1		22.25	25.1
	11.412499999999998	9.5		21.86875	20.2
	11.462499999999999	7.5		23.024999999999995	18.9
	11.887500000000001	4.5		23.562499999999996	23.4
	12.1375	7.3		22.16875	15.2
	12.325	8.6		22.38125	19.8
	12.356250000000001	5.5		21.38125	20.6
	12.375000000000002	6		21.974999999999998	25.1
	12.612499999999999	6.7		22.3625	26.4
	12.175	9.7		22.35	26.9
	12.49375	6.4		21.85	20.9
	12.987499999999999	7.9		21.2875	21.4
	12.775	5.4		21.16875	26.3
	11.54375	9.4		20.687500000000004	31.3
	12.11875	11.5		23.000000000000004	32.9
	12.375	13.2		23.106250000000003	28.3
	12.88125	13.2		23.056250000000002	20.3
	12.712499999999999	9.4		21.5375	25.5
May	12.43125	12.3		22.218749999999993	25.7
	13.34375	15.1		22.487499999999997	17.8
	13.7	15.3		24.950000000000003	18.7
	14.568750000000001	9.8		25.525000000000002	25.4
	14.925000000000002	9.9		25.19375	23.6
	14.175	7.9		24.775000000000002	25.2
	13.73125	15.7		23.2375	21.9
	13.043750000000001	14.1		23.44375	25.5
	13.543749999999998	13.2		23.275	25.8
	13.875000000000004	19		24.331249999999997	20.1
	14.237500000000002	14.8		22.6625	22.2
	14.18125	12.8		23.406249999999996	21.2
	14.55	13.7		23.8625	19.9
	14.71875	10.2		23.312499999999996	15.1
	14.512500000000001	8.6		23.89375	21.4
	14.862499999999997	7.4		24.862499999999997	27.9
	15.10625	10.2		24.606250000000003	29.6
	15.4375	13.1		24.91875	30.5
	15.900000000000002	13.3		25.837500000000002	30.2
	15.856250000000001	15.1		23.76875	33.8
	15.04375	14.6		24.581249999999997	32.2
	15.79375	14.7		25.53125	29.7
	16.3625	13.8		27.368750000000002	27.4
	16.675	11.3		26.925000000000004	19.6
	17.231250000000003	10.2		26.15625	25.1
	16.737499999999997	8.6		25.087500000000002	27.3
	16.16875	11.5		27.168750000000003	29
	16.9375	12.6		27.3875	29.6
	17.59375	12.2		26.400000000000002	25.3
	16.8875	10.3		27.3875	32.3
	17.95625	13.9		27.6375	33.2
Jun.	17.55	14		27.231249999999996	30.5
	17.40625	14.6		26.881250000000005	30
	17.912499999999998	14.6		26.562499999999996	29.2
	17.68125	14		26.199999999999996	23.6
	18.175000000000004	11.6		27.2	27.6
	18.5375	13.4		26.287499999999998	25.7
	18.45625	15.9		26.025000000000002	19.5
	18.3125	12.7		27.174999999999997	21.5
	19.174999999999997	10.9		27.475000000000005	26.3
	18.275000000000002	13.5		27.1875	26.8
	17.675	13.3		26.950000000000003	28.2
	18.40625	15.1		26.768750000000004	27.6
	18.7875	13.5		26.8625	31.7
	18.28125	14.9		26.893749999999997	32.9
	18.674999999999997	15.4		27.9125	32.4
	19.200000000000003	15.5		28.831249999999997	31.8
	19.3875	15.3		28.174999999999994	32.3
	19.256249999999998	14.7		27.237499999999997	25.4
	19.425000000000004	13		27.574999999999996	31.1
	19.0125	14.7		27.093750000000004	32.4
	18.818749999999998	15.6		27.443749999999998	34.2
	18.74375	16.4		27.262500000000003	35.8
	18.34375	15.7		28.818749999999998	34.2
	19.3875	15.8		28.206249999999997	35.1
	19.95625	18.3		28.00625	35.4
	19.993750000000006	19.8		27.39375	32.4
	19.900000000000006	19.6		27.88125	31.4
	20.3375	19.4		28.462500000000002	31.4
	20.1625	18.5		28.4375	34.8
	20.65625	19.4		28.575	35.4
Jul.	19.85625	17.1		26.9125	34.2
	19.18125	19.8		27.46875	32.1
	19.625	18.5		26.53125	31.2
	19.35625	16		26.449999999999996	29.7
	19.45625	15.2		26.75	34.7
	19.181250000000002	15.1		27.3625	34.3
	19.7875	16.4		28.2625	35
	20.556250000000002	15.1		27.393749999999997	33.9
	19.89375	15.9		27.675	33.7
	20.4125	16.4		28.29375	33.2
	20.48125	17.1		28.650000000000002	33.5
	20.881249999999998	18.4		28.531249999999996	32.5
	20.693749999999998	18.5		29.15	28.7
	20.59375	17.5		28.418750000000003	26.3
	20.831249999999997	18.4		28.218750000000004	27.4
	20.75	19		29.562500000000004	31.6
	20.768749999999997	18.8		28.837500000000006	32
	20.7125	17.9		28.106249999999992	27.7
	20.818749999999998	16.5		28.48125	23.3
	20.949999999999996	17.9		29.34375	18.8
	21.074999999999996	18.1		29.043750000000003	19.5
	20.91875	15.9		28.325000000000003	21.9
	20.956249999999997	15.3		28.312499999999993	27.7
	20.15	16.7		27.124999999999996	29.5
	19.756249999999998	17.3		27.124999999999996	29.2
	20.143749999999997	16.4		27.724999999999998	28.7
	19.85625	15.1		28.3375	29.9
	20.7	15		28.624999999999993	27.8
	20.043749999999996	15.6		27.574999999999996	27.1
	20.081249999999997	15.6		28.431250000000002	25.3
	19.33125		14.7	27.6375		28.5
Aug.	19.749999999999996		15.3	28.156250000000004		28.7
	20.493750000000002		15.2	27.868750000000002		30.7
	20.1375		16.3	27.131249999999998		25
	19.799999999999997		15	27.212500000000002		30.6
	19.775		16.5	27.18125		28.4
	20.00625		15.2	26.85625		29.5
	19.21875		15.9	25.993749999999995		28.1
	18.631249999999998		18.6	25.812500000000007		25.6
	18.31875		18.4	25.3125		25.4
	17.937500000000004		18	25.40625		25.6
	17.718750000000004		17.8	24.724999999999998		24.9
	17.46875		17.4	24.574999999999996		24
	17.2375		17.2	24.324999999999996		24.8
	16.9		16.9	24.43125		24.5
	16.425		16.4	24.6125		24.1
	17.01875		16.9	24.256249999999994		24.2
	17.325000000000003		16.7	24.981250000000003		24.4
	16.9		16.5	23.618749999999995		24
	16.650000000000002		16.5	23.999999999999996		23.7
	16.25625		16.5	24.025000000000002		24.1
	16.575		16.8	23.8375		24.4
	15.75625		15.9	23.749999999999996		23.5
	15.88125		16.1	23.7625		23.6
	16.4375		16.4	23.025000000000002		23.3
	16.075		16.4	23.44375		23.5
	16.35625		15.9	23.66875		22.8
	16.125		15.9	22.74375		22.7
	15.831250000000002		15.9	22.893749999999997		22.7
	15.749999999999998		15.6	23.0375		22.5
	15.05		14.6	21.893749999999997		21.5
	14.7625			21.700000000000003
Sep.	15.206249999999999			22.068749999999998
	15.275			21.475
	14.94375			21.28125
	14.925			21.762500000000003
	14.475			21.175
	14.375			21.6875
	13.524999999999997			21.318750000000005
	13.306249999999999			20.93125
	12.931250000000002			20.137500000000003
	12.968750000000002			19.962499999999995
	13.25			19.8625
	13.40625			20.125
	13.987499999999999			18.837500000000002
	12.943750000000001			20.231250000000003
	12.6875			20.587499999999995
	12.58125			20.618750000000002
	12.375			19.299999999999997
	12.34375			20.2
	11.700000000000001			19.5125
	11.00625			18.018749999999997
	10.637499999999998			17.499999999999996
	10.693750000000001			16.59375
	10.862499999999999			18.08125
	10.83125			17.7375
	10.45625			17.256249999999998
	9.74375			16.55625
	9.3			15.918750000000001
	9.58125			16.875
	10.06875			16.78125
	9.612499999999999			16.9875
Oct.	9.0875			16.175
	9.2625			16.08125
	8.725			16.5875
	8.85625			16.525000000000002
	8.86875			16.94375
	8.15			15.60625
	8.15			15.987500000000002
	8.34375			15.887500000000001
	8.55625			16.331249999999997
	7.98125			15.35
	7.506249999999999			14.356249999999998
	7.11875			15.118749999999999
	7.268749999999999			15.5875
	7.53125			14.356250000000001
	7.5875			14.493749999999999
	7.45625			14.9625
	6.743750000000001			13.912500000000001
	6.974999999999999			14.093750000000002
	6.824999999999999			14.45
	6.1812499999999995			14.86875
	6.23125			13.6
	5.974999999999999			13.025000000000002
	5.625000000000001			13.55
	4.90625			12.03125
	5.1			12.225
	4.85			12.706249999999999
	4.19375			11.262500000000001
	3.3187499999999996			10.681249999999999
	3.5749999999999997			11.243749999999999
	3.3374999999999995			11.84375
	4.23125			12.343750000000002
Nov.	4.043749999999999			12.04375
	3.4125			10.5375
	2.5062500000000005			10.35
	2.28125			10.399999999999997
	2.6625000000000005			11.55
	2.9			11.556249999999999
	2.7125000000000004			9.556249999999999
	1.70625			9.61875
	0.5062500000000001			8.662499999999998
	-0.16250000000000003			7.918749999999999
	-0.36249999999999993			7.7875
	0.33125000000000004			8.4875
	0.2625			8.225
	0.5187499999999999			8.724999999999998
	0.06250000000000006			7.18125
	-1.025			6.124999999999999
	-1.7937500000000002			7.356249999999999
	-0.8499999999999999			8.09375
	-0.96875			7.437499999999999
	-1.2249999999999999			7.875
	-0.8624999999999999			7.9125
	-0.9499999999999998			6.9624999999999995
	-1.075			7.362499999999999
	-0.9687499999999999			6.4125000000000005
	-1.2062499999999994			7.75
	-1.7000000000000002			5.825000000000001
	-2.29375			5.2
	-2.55			4.862500000000001
	-2.4687500000000004			5.456249999999999
	-2.9312500000000004			4.54375
Dec.	-3.29375			3.48125
	-3.8687500000000004			4.2124999999999995
	-3.55625			5.418750000000001
	-2.28125			5.912499999999999
	-2.7375000000000003			5.94375
	-2.7562499999999996			5.5125
	-2.90625			5.46875
	-2.9875000000000003			5.674999999999999
	-2.9125			5.04375
	-3.1374999999999997			4.699999999999999
	-3.25625			4.418750000000001
	-3.35			4.78125
	-3.1125000000000003			5.15
	-2.94375			5.237499999999999
	-3.3749999999999996			5.268750000000001
	-4.1375			4.487499999999999
	-4.38			4.373333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

36°C

Highest Temp

6 Jul. 26

-11°C

Lowest Temp

21 Jan. 26

Seasonal Breakdown

Hottest MonthJuly32.43°C

Coldest MonthJanuary-4.54°C

Wettest MonthAugust14.53mm

Windiest MonthApril15.35km/h

Shangzhou 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 Shangzhou historically?

July is historically Shangzhou's hottest month, with average maximum temperatures around 28°C. During peak heatwave events, the highest recorded temperatures have reached 37°C on 2022-06-24.

2. What is the coldest month in Shangzhou historically?

January is Shangzhou's coldest month, with average minimum temperatures around -3°C. The all-time record low of -14°C was recorded on 2016-01-24.

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

Shangzhou's average annual rainfall is approximately 886.4mm, based on records spanning 17 years.

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

Shangzhou historically records approximately 166.5 rainy days per year. July has the highest number of rain days at an average of 23.4 days.

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

The all-time highest temperature recorded in Shangzhou is 37°C on 2022-06-24.

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

The all-time lowest temperature recorded in Shangzhou is -14°C on 2016-01-24.

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

Shangzhou experiences its strongest winds during April. The historic gust record of 37.4 kph was recorded on 2012-04-02.

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

Usually, Shangzhou's humidity peaks in September at around 78.2% and drops to its lowest in December at approximately 49.9%.

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

Shangzhou 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

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

Shangzhou 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

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