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

Dingzhou Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-6.225	-6.9		3.2875	2.8
	-5.8187500000000005	-6.6		2.7375	3.5
	-5.7625	-2.5		2.7937499999999997	4.5
	-6.075	-0.5		2.775	5.7
	-5.7437499999999995	-3.3		2.5875000000000004	6
	-6.71875	-2.1		2.4	7.4
	-6.2	-1.6		2.19375	4.5
	-6.393750000000001	-1.5		2.63125	6.3
	-6.362500000000001	-1.2		2.4749999999999996	10.3
	-6.418750000000001	-2.6		3.4062499999999996	1.6
	-5.84375	-6.5		2.95	0.4
	-6.1375	-4.3		3.1125000000000003	8.7
	-5.768749999999999	-4.2		4.16875	4.4
	-5.86875	-2.3		2.9625000000000004	4.2
Jan.	-6.2	0.9		2.5749999999999997	8.8
	-6.168750000000001	-2.7		2.675	4.2
	-5.8687499999999995	-4.8		3.7687500000000003	0.4
	-5.6312500000000005	-6.2		4.1625000000000005	-2.8
	-5.20625	-5.4		4.143749999999999	-2.1
	-5.16875	-9.5		2.6375	-3.2
	-5.5874999999999995	-8.8		2.556250000000001	-1.4
	-6.531249999999999	-8.5		2.5249999999999995	-0.4
	-6.949999999999999	-6.5		2.25	2.6
	-6.65	-4.1		2.7062500000000003	3.2
	-5.88125	-3		3.3562500000000006	1.4
	-6.012499999999999	-5		3.79375	4.7
	-5.074999999999999	-3.3		3.6562500000000004	3.2
	-5.2124999999999995	-3.2		3.6	3.3
	-5.225	-3.4		4.39375	1
	-4.875000000000001	-2.2		4.1499999999999995	2.7
	-5.143750000000001	-3		4.4312499999999995	4.9
	-4.937500000000001	-0.7		4.14375	9.5
	-5.349999999999999	-2.3		3.89375	5.6
	-5.081250000000001	-1		5.0375	8.9
	-4.71875	0.8		4.78125	11.6
	-4.5375000000000005	-1.3		4.9125	6.5
	-4.45625	-5.6		4.718749999999999	-2.1
	-5.29375	-7.1		3.275	3.7
	-5.412500000000001	-6		4.35625	6
	-5.099999999999999	-2.7		5.25625	4.1
	-4.768750000000001	-0.7		5.675	8.1
	-3.8125000000000004	-0.7		6.781250000000001	10
	-3.15625	1		6.343750000000001	13.1
	-3.3499999999999996	3.9		7.449999999999999	15.7
	-3.287499999999999	5		6.03125	16.1
Feb.	-3.9562500000000003	0.2		6.0375	6.4
	-3.5749999999999997	-3.1		7.212500000000001	7.2
	-3.2062499999999994	-1.2		6.643750000000001	11.5
	-2.6187499999999995	0.8		7.95	11.3
	-2.5375	2.6		8.712500000000002	16
	-2.54375	4.8		8.06875	18.5
	-2.5937500000000004	7.5		8.812499999999998	23.5
	-2.7937499999999997	3.4		8.4	10.2
	-2.8625	-2		9.10625	6.6
	-1.7062499999999998	-1.8		9.262499999999998	10.3
	-1.4437499999999999	3		9.64375	10.6
	-1.325	1.2		9.95	7
	-0.6	-0.4		10.062499999999998	7.1
	0.037499999999999846	1.3		10.54375	5.3
	-1.0749999999999997	-0.7		9.6125	6.2
	-1.7625000000000002	-0.3		11.80625	3.7
	-0.13124999999999998	1		13.143749999999999	7.5
	0.45625000000000004	-0.1		12.724999999999996	5.1
	-0.08125000000000003	0.2		11.66875	8.1
	-0.25	-0.7		11.11875	7.6
	-0.6750000000000003	0		12.993749999999999	9.7
	0.3812499999999999	2.2		14.087499999999999	12
	0.86875	2.1		13.556249999999999	11.2
	1.0625000000000002	3.3		14.712500000000002	12.8
	2.1625	4.4		15.04375	15.2
	1.7374999999999998	2.7		14.187499999999998	14.3
	1.69375	3.9		15.2125	13.4
	2.51875	4.7		15.71875	9
Mar.	2.3875	2.7		16.131249999999998	13.4
	2.3937500000000003	5.8		15.5875	14.3
	3.38125	6.2		15.85	15.3
	3.59375	4.4		15.8875	12
	3.3375000000000004	3.2		16.43125	15.9
	4.40625	6.1		16.150000000000002	17.5
	3.31875	4.4		16.656250000000004	20.1
	4.2625	10.1		16.74375	21.5
	4.1000000000000005	9.8		17.74375	19.5
	4.574999999999999	9.9		17.35625	22.9
	4.2562500000000005	11.3		17.681250000000002	27.3
	5.031250000000001	13.6		19.031249999999996	25.8
	5.512499999999999	12		19.862499999999997	20.1
	6.062499999999999	10		19.11875	23.8
	5.581250000000001	11.5		19.18125	23.8
	6.9125000000000005	7.1		19.756249999999998	13.4
	6.775000000000001	7.5		20.61875	23.7
	6.54375	8.2		19.93125	18.1
	7.175000000000001	6.9		19.58125	22.4
	6.4625	12.7		19.05625	27.5
	6.237500000000001	7		19.468750000000004	20.1
	7.0062500000000005	10.8		19.80625	22.3
	6.14375	5.4		19.24375	20.3
	6.656250000000002	4		22.156250000000004	16.2
	7.18125	6.6		21.387499999999996	20.9
	7.8812500000000005	9.3		22.15	15.8
	8.181249999999999	8.9		21.4875	26.5
	8.543750000000001	11.8		20.943750000000005	26.5
	7.037500000000001	12.6		21.168749999999996	27.3
	8.1	13.6		21.45	21.4
	8.943749999999998	11.8		23.881250000000005	25.2
Apr.	9.631250000000001	11.5		24.306250000000002	26.8
	9.6375	11.2		23.93125	18.9
	9.975	11.1		23.4	28
	9.70625	13.7		23.356250000000006	29.4
	9.831249999999999	12.7		22.787500000000005	26
	10.2	7.4		23.04375	22.4
	10.30625	9.2		21.374999999999996	22.6
	8.9125	6.6		21.775	23.2
	9.893749999999997	11.1		24.525000000000006	26.7
	10.443750000000003	11		23.693750000000005	29.7
	10.1625	12.7		24.0625	29.5
	10.675	13.4		24.543749999999996	25.2
	11.1875	11.6		24.218749999999996	24.7
	10.993750000000002	8.6		24.3125	22.7
	11.73125	10		26.44375	26.3
	12.406250000000002	10.9		26.15625	29.6
	12.2875	14.8		28.325000000000003	29.5
	13.637500000000001	9.6		28.081249999999997	25
	13.4375	9.3		27.35	25.4
	13.35625	9.3		27.012500000000003	29.1
	13.19375	14.1		27.04375	34.9
	13.406249999999998	19		26.50624999999999	29.9
	13.256249999999998	12.7		27.4875	25.8
	14.0875	10.6		25.2875	31.4
	12.9125	13.2		24.41875	36.9
	12.962499999999999	17		25.76875	36
	13.381250000000003	17		27.950000000000003	33.2
	14.20625	17.1		28.43125	38.1
	14.25625	21.8		28.325000000000003	41.7
	14.231250000000001	20.8		28.525	38.2
May	15.38125	20.6		28.043750000000003	35.7
	14.90625	17.9		28.631250000000005	29.8
	15.625000000000002	17.3		29.85	18.3
	16.43125	15.9		30.70625	26
	16.73125	15.7		30.64375	24.7
	16.6875	16.8		30.018749999999997	23.1
	16.5375	14.6		29.924999999999997	25.8
	16.65625	16.5		30.106250000000003	21.3
	16.84375	15.8		31.5	29.5
	17.75625	18.7		31.412499999999998	30.1
	17.418750000000003	17.1		31.2625	20
	17.525000000000002	15.9		30.28125	24.9
	17.14375	16.5		31.075000000000003	28.7
	18.131249999999998	18.7		32.300000000000004	29.4
	18.23125	19.2		32.70625	33.1
	18.637500000000003	20.5		32.325	37.8
	18.581249999999997	21.3		32.1875	35.4
	18.75625	21		32.1	36.4
	18.54375	22.4		32.5375	39.2
	18.9125	18.7		32.85	33.3
	19.6875	17.9		32.556250000000006	30.6
	19.243750000000002	16.1		33.78125	27.9
	20.14375	13.2		32.46875	17.2
	19.83125	12.4		33.175	27.2
	19.456249999999997	17.1		33.018750000000004	31.7
	19.9	17.8		33.099999999999994	29.6
	20.175	16.2		33.074999999999996	28.9
	19.78125	17.5		33.86874999999999	32.1
	20.881249999999998	20.7		34.45	36.7
	21.3125	20.2		33.5625	33
	20.843750000000004	19.1		34.00625	32.1
Jun.	21.418750000000003	21.4		34.25000000000001	34.4
	21.637500000000003	22		34.00625	36
	22.312499999999996	20.9		34.34375	33
	22.45	23.9		34.824999999999996	33.8
	22.25625	22.1		33.93125	26.9
	22.381249999999998	20.7		35.35	33.2
	23.500000000000004	19.9		35.5875	28.4
	23.18125	18.7		33.95625	33.3
	22.924999999999997	21		35.63125	36
	22.83125	21.5		34	33.3
	22.9625	20.8		34.1875	32.1
	22.08125	22.4		34.8625	35.5
	22.54375	22.2		35.056250000000006	38.1
	23.79375	22		35.15625000000001	36.3
	22.968749999999996	21.1		34.30625	31.4
	23.150000000000002	21.9		34.10625	32.9
	22.987499999999997	22.5		34.074999999999996	34.4
	22.681250000000002	25		33.33125	37.8
	22.599999999999998	26.6		33.59375	40.5
	23.0125	26.8		34.30625	41.7
	23.48125	22.1		34.24375	33.7
	23.587500000000006	20.7		33.7375	34.9
	23.6	23		34.65625	35.7
	23.643750000000004	23.2		34.53125	38.4
	23.6125	24.6		32.91875	40.4
	23.00625	24.6		32.256249999999994	34.1
	22.768749999999997	24.8		33.1125	31.8
	23.443749999999998	25.9		33.231249999999996	32.7
	23.193749999999998	25.4		33.237500000000004	33
	23.637499999999996	24.6		33.900000000000006	36.5
Jul.	23.768749999999997	23.2		32.425000000000004	35.1
	23.1625	27.6		32.668749999999996	33
	22.75	22.6		32.64375	31.3
	23.0125	21.1		32.449999999999996	34
	23.174999999999997	22.1		32.96249999999999	36.5
	23.549999999999997	22.8		32.606249999999996	37.8
	22.987500000000004	21.2		32.74375	33.9
	23.406249999999996	22.6		31.531250000000004	31.9
	23.106249999999996	22.8		33.268750000000004	30.9
	23.5875	23.5		34.0875	31.3
	23.843749999999996	23.4		34.0375	32.9
	23.7875	25.7		33.125	33.9
	23.99375	25.1		33.1125	34.8
	23.83125	24.2		32.512499999999996	35
	23.456250000000004	24.4		32.150000000000006	33.9
	23.250000000000004	25.4		33.150000000000006	33.1
	23.55	25.4		33.025	35.1
	23.73125	26.7		31.793749999999996	35.6
	23.331249999999997	26.6		32.324999999999996	38.2
	23.374999999999996	24.8		33.16875	37.1
	23.618750000000006	23.4		32.650000000000006	34.9
	23.712499999999995	23		32.831250000000004	35.2
	23.187499999999996	26.5		31.862500000000004	38.4
	23.06875	26.3		31.762500000000006	39.3
	22.556249999999995		22.8	30.781249999999996		32.8
	22.11875		20.6	31.25625		32.9
	22.6		19.8	31.700000000000003		34.5
	22.625000000000004		21.8	32.037499999999994		28.4
	22.737500000000004		17	32.175		21.8
	22.274999999999995		17.7	30.512500000000003		20.1
	22.131249999999998		19.3	31.268749999999994		22.9
Aug.	21.918750000000003		20	31.46875		21.6
	21.2125		21.4	30.76875		30.6
	21.28125		21.6	30.206249999999997		30.2
	21.349999999999998		21.5	29.162499999999998		29.1
	21.125		20.9	29.337500000000002		29.4
	20.7		20.4	29.712500000000006		29.9
	20.76875		20.5	30.306250000000006		29.8
	20.468750000000004		20.1	29.800000000000004		29.8
	19.93125		19.8	29.981249999999996		30.2
	19.750000000000004		19.9	28.9875		29
	19.656250000000004		19.2	29.8375		29.6
	19.15		19.2	29.443749999999998		28.9
	18.975		18.7	28.100000000000005		28.7
	18.59375		18.8	28.63125		28.5
	18.75625		18.5	28.78125		28.6
	18.675		18.8	28.862499999999997		28.8
	18.95625		18.9	28.9625		28.8
	18.78125		18.3	28.7125		28.5
	19.099999999999998		18.5	28.7		28.1
	18.612499999999997		18.3	28.6625		28.7
	18.1125		18.1	28.21875		28.3
	18.1125		18.5	28.618750000000006		28.3
	18.01875		17.9	28.6		28.2
	18.075000000000003		17.9	28.912499999999994		28.4
	18.3625			29.275
	17.8			28.71875
	17.4375			27.68125
	17.331250000000004			27.387500000000003
	17.6			27.193749999999998
	17.418750000000003			27.89375
	17.587500000000002			27.924999999999997
Sep.	17.26875			27.012500000000003
	16.912499999999998			26.2375
	15.8625			25.825000000000003
	16.068749999999998			25.781250000000004
	15.343749999999998			24.687500000000004
	15.29375			26.643749999999997
	14.899999999999999			26.749999999999996
	15.331249999999999			26.08125
	14.281250000000002			25.262500000000003
	14.199999999999998			25.224999999999998
	14.312499999999998			25.700000000000003
	15.306250000000002			26.274999999999995
	15.3375			25.781250000000007
	14.749999999999998			25.087500000000002
	14.44375			25.874999999999996
	13.887499999999998			25.187499999999993
	14.31875			23.937499999999996
	13.4875			23.712500000000002
	12.91875			24.14375
	12.324999999999998			23.956249999999997
	11.75625			22.3
	11.60625			21.325000000000003
	11.7125			22.5875
	11.956249999999999			21.650000000000002
	11.575			21.049999999999997
	11.018749999999999			20.3625
	9.912499999999998			21.243750000000002
	10.649999999999999			20.387500000000003
	10.8125			21.087499999999995
	10.8			20.71875
Oct.	10.675			21.25625
	10.581249999999999			19.575
	9.45			19.512500000000003
	9.01875			18.825
	9.25625			19.474999999999998
	8.931250000000002			19.0375
	8.293750000000001			18.343750000000004
	8.312500000000002			17.956250000000004
	8.45			18.45625
	7.1625			18.756250000000005
	7.6499999999999995			18.749999999999996
	7.91875			18.281249999999996
	7.21875			18.39375
	8.31875			17.6125
	6.675			17.76875
	6.94375			17.74375
	6.9437500000000005			18
	7.1000000000000005			17.162499999999998
	6.925			16.96875
	6.36875			16.725000000000005
	5.887499999999999			16.48125
	5.7437499999999995			15.399999999999999
	5.131249999999999			14.281249999999998
	3.7999999999999994			13.250000000000002
	3.9250000000000003			13.912500000000001
	3.6062499999999993			13.806249999999999
	3.6			13.6875
	4.35			13.450000000000001
	3.36875			13.9
	2.7875			12.987500000000002
	2.65			12.900000000000002
Nov.	2.73125			12.425
	2.3312500000000003			11.50625
	2.46875			12.162500000000001
	1.39375			11.28125
	1.55			10.518749999999999
	1.4874999999999998			11.2375
	1.25625			10.799999999999999
	0.2687500000000001			10.012500000000001
	-0.7374999999999998			8.837499999999999
	-1.7437500000000001			7.88125
	-2.2124999999999995			7.7250000000000005
	-2.3312500000000007			7.231249999999999
	-1.7312500000000002			7.4125000000000005
	-2.3125000000000004			8.76875
	-2.28125			6.018750000000002
	-2.9249999999999994			6.5249999999999995
	-3.475			5.687499999999999
	-3.44375			6.325
	-3.3125			6.543749999999999
	-3.05			6.75625
	-2.8312499999999994			7.081249999999999
	-2.9875			6.750000000000001
	-3.5187499999999994			6.29375
	-3.3499999999999996			6.06875
	-3.45625			5.9624999999999995
	-3.68125			5.7749999999999995
	-4.20625			4.3875
	-4.775			4.075
	-4.324999999999999			3.8375
	-4.65625			3.4374999999999996
Dec.	-5.031250000000001			2.875
	-5.26875			3.08125
	-5.5875			3.5749999999999997
	-5.3875			4.1187499999999995
	-5.5562499999999995			4.41875
	-5.224999999999999			4.012499999999999
	-4.812499999999999			4.3875
	-4.5062500000000005			4.65
	-5.51875			3.7125
	-6.16875			2.45
	-6.481250000000001			2.4687499999999996
	-6.05			2.8062499999999995
	-6.075			3.2375
	-5.843750000000001			3.53125
	-5.025			3.562500000000001
	-5.9875			2.8062500000000004
	-6.333333333333333			2.873333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

42°C

Highest Temp

13 May 26

-9°C

Lowest Temp

20 Jan. 26

Seasonal Breakdown

Hottest MonthAugust36.96°C

Coldest MonthJanuary-4.03°C

Wettest MonthJuly6.1mm

Windiest MonthMay23.47km/h

Dingzhou 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 Dingzhou historically?

June is historically Dingzhou's hottest month, with average maximum temperatures around 34°C. During peak heatwave events, the highest recorded temperatures have reached 44°C on 2014-05-29.

2. What is the coldest month in Dingzhou historically?

January is Dingzhou's coldest month, with average minimum temperatures around -6°C. The all-time record low of -18°C was recorded on 2023-12-20.

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

Dingzhou's average annual rainfall is approximately 601.008mm, based on records spanning 17 years.

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

Dingzhou historically records approximately 96.5 rainy days per year. July has the highest number of rain days at an average of 19.2 days.

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

The all-time highest temperature recorded in Dingzhou is 44°C on 2014-05-29.

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

The all-time lowest temperature recorded in Dingzhou is -18°C on 2023-12-20.

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

Dingzhou experiences its strongest winds during May. The historic gust record of 49.7 kph was recorded on 2025-11-24.

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

Usually, Dingzhou's humidity peaks in August at around 72.2% and drops to its lowest in March at approximately 34.8%.

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

Dingzhou 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

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

Dingzhou 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

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