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

Huanghua Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-4.825	-5.5		2.98125	0.6
	-4.862499999999999	-6		2.1062499999999997	2.3
	-4.7875000000000005	-3.6		2.2062500000000003	4.6
	-4.78125	0.3		2.14375	4.7
	-4.84375	-1		1.9875	4.8
	-5.425	-1.3		1.5249999999999997	6.2
	-5.05	-1.5		1.59375	3.3
	-4.956250000000001	-2.7		1.70625	6.2
	-5.71875	-1.1		1.5437500000000002	7.6
	-5.2625	-3.7		2.24375	1.9
	-5.08125	-6.6		1.5687499999999999	-0.7
	-5.162499999999999	-4.1		2.66875	5.1
	-4.687500000000001	-3.1		3.2937499999999997	2.7
	-4.9937499999999995	-1.8		2.73125	5.3
Jan.	-5.324999999999999	-0.1		1.7374999999999998	9.2
	-4.8812500000000005	-1.9		1.9125	1.4
	-4.9	-3.6		2.6125	-0.7
	-4.05	-4		3.64375	-2.2
	-4.06875	-5		2.9937499999999995	-2.3
	-4.28125	-8.6		1.84375	-4.3
	-4.925	-10.1		1.5875	-2.3
	-5.6187499999999995	-9.1		1.65625	0.2
	-6.10625	-5.7		1.0374999999999996	1.9
	-5.974999999999999	-4.1		1.4375	3.4
	-4.9937499999999995	-2.8		2.2125	0.9
	-4.775	-4.5		2.9125	3.8
	-4.40625	-3.7		2.6750000000000003	1.6
	-4.543749999999999	-3.2		2.35	3.3
	-4.425	-2.9		3.1062499999999997	0.7
	-3.7	-2.7		3.5625	2.7
	-3.5187499999999994	-3		3.6125	3.3
	-4.00625	-1.9		2.54375	6.8
	-4.481249999999999	-3.8		3.21875	4.5
	-4.33125	-1.3		3.7624999999999997	10.4
	-4.25625	0.9		3.2749999999999995	10.8
	-3.3125000000000004	-2.6		3.575	4.5
	-4.29375	-7.7		3.5312499999999996	-2.8
	-5.04375	-8.5		1.31875	0.1
	-4.874999999999999	-7.8		3.0624999999999996	4.6
	-4.000000000000001	-2.5		3.99375	7.6
	-3.3062499999999995	-0.4		4.95	9.4
	-2.8812500000000005	-1		6.175	10.3
	-2.1437500000000003	1.6		5.89375	12.7
	-1.6812499999999995	3.9		6.8125	15.6
	-2.8687500000000004	5.3		5.2625	16.5
Feb.	-3.7750000000000004	0.9		4.45625	5.4
	-3.375	-2.8		5.637499999999999	6.7
	-2.825	-1.9		5.2	10.2
	-2.13125	1.4		6.281250000000001	9.2
	-1.8625000000000003	1.9		7.143750000000001	14.8
	-2.0437499999999997	4.5		6.706250000000001	19.3
	-1.49375	7.5		7.831249999999999	20.6
	-2.05	0.8		6.9624999999999995	8.6
	-2.0250000000000004	-1.7		8.34375	7.6
	-1.2312500000000002	0.5		8.20625	10.4
	-0.9	3.2		7.43125	14.6
	-0.8875000000000002	0.9		8.531250000000002	5.9
	-0.03750000000000006	-0.3		9.05625	5.4
	0.21874999999999994	-0.4		9.268749999999999	2
	-1.0124999999999997	0.2		7.750000000000001	3
	-1.25625	-0.4		10.093750000000002	3.3
	1.4625000000000001	-3.7		11.3375	7.6
	1.5187500000000003	-0.6		10.68125	4.2
	0.2562500000000001	-0.7		10.28125	1.8
	0.31250000000000006	-1.7		9.19375	5
	0.3999999999999999	-1.1		11.593749999999998	8.7
	1.21875	1.8		11.43125	11.4
	0.9375	2.1		12.062499999999998	9.7
	1.7562499999999996	2.6		13.149999999999999	13.9
	2.75	2.8		13.374999999999998	8.4
	2.2750000000000004	1.8		12.337499999999999	11.9
	2.625	2.9		13.5875	15.7
	3.5562499999999995	2.4		13.99375	8.5
Mar.	3.26875	1.8		13.85	11.4
	2.7624999999999997	5.1		12.875000000000002	12.6
	3.7375	5.7		13.5875	15.8
	3.8375000000000004	2.3		13.506250000000001	11.1
	4.125	3		14.29375	14.6
	4.3999999999999995	6.4		13.73125	12.8
	4.1375	5.4		14.874999999999998	20
	4.4875	11.7		15.5125	20.9
	4.9312499999999995	8.3		15.856249999999998	16.1
	5.14375	9		14.84375	21.7
	4.39375	11		15.918750000000001	24.5
	5.556250000000001	13.6		17.1	24.1
	6.25625	10		17.1375	17
	6.3125	9.6		16.61875	24.3
	5.887499999999999	9.6		17.275	21.7
	7.174999999999998	7.5		18.056249999999995	11.6
	7.487499999999999	6.5		18.61875	19.8
	7.6937500000000005	7.7		17.837500000000002	11.7
	7.3625	6.3		17.393749999999997	23
	5.987500000000001	12.3		16.64375	27.2
	7.387499999999999	6.2		17.950000000000003	18.4
	6.8	11		16.25	20
	6.35	7.3		16.949999999999996	18.4
	7.4	6.3		19.38125	14.6
	8.14375	7.4		19.5	23.8
	9.375	9.1		19.925	14.2
	8.71875	8.4		19.799999999999997	25.8
	8.668750000000003	12.2		19.03125	26
	7.825	15.6		19.125	27.9
	9.118749999999999	9.6		19.71875	15.5
	9.6875	9.2		22.199999999999996	23.2
Apr.	10.36875	12.1		22.012500000000003	27
	10.1375	14		21.96875	24.6
	10.725	11.4		21.65	27.3
	10.25625	16.1		20.875	30.3
	10.556250000000002	12		21.381249999999994	28.9
	10.75625	7		21.83125	20.1
	10.80625	10.5		20.087499999999995	22.2
	9.831249999999999	9		19.200000000000003	21.9
	10.981250000000001	12.8		21.7625	24.8
	10.98125	13.6		21.549999999999997	28.2
	11.275	15.5		22.600000000000005	28
	11.70625	12.9		22.575000000000003	23.2
	11.612499999999999	11.3		21.31875	23.8
	11.2625	10.3		21.83125	20.8
	11.950000000000003	10.8		23.79375	24.4
	12.956249999999999	13.5		22.743749999999995	26.9
	13.18125	15.8		26.093749999999996	28.4
	15.012500000000001	13.1		25.91875	21.1
	14.062499999999998	11.7		25.44375	22
	13.656249999999998	9.8		25.506249999999998	26.8
	14.318750000000001	18		24.393749999999997	33.1
	13.575000000000003	13.9		24.6875	31.6
	13.75625	12.8		24.681249999999995	23.4
	14.2625	12.7		23.562500000000004	27.6
	12.993749999999999	17.6		22.349999999999998	31.4
	13.512500000000003	18.2		24.325	33.1
	14.45625	19.1		25.68125	29.1
	14.899999999999999	17.8		26.687500000000004	33.5
	15.4875	23.6		26.112499999999997	37.5
	15.45	23		27.225	34.7
May	15.54375	20.4		26.0625	33.5
	15.899999999999997	17.7		26.40625	30.7
	16.16875	18.1		27.700000000000006	22.8
	16.981250000000003	15		27.750000000000004	22
	17.043749999999996	14.9		29.056249999999995	21.1
	17.743750000000002	14.9		28.2	21.1
	17.18125	13.8		27.16875	26.1
	17.325	16.1		28.418749999999996	26.5
	17.474999999999998	15.7		29.3125	30.3
	17.9	21		28.837500000000002	31.9
	17.84375	16.4		27.94375	21.9
	17.4875	16.5		28.643749999999997	21.7
	17.95625	16.8		28.94375	28.3
	19.312500000000004	19.2		29.856250000000003	28.4
	18.525	20.3		29.981250000000003	32.7
	19.1625	22.7		29.524999999999995	37.6
	19.243750000000002	24.2		30.21875	35.3
	19.075	24.4		28.8625	36.6
	19.15625	25.5		30.037499999999994	38.2
	19.281250000000004	19.1		29.8625	36.3
	19.95	17.9		29.81875	23.4
	19.95	16.4		31.824999999999992	25.9
	21.08125	14.4		29.712500000000006	17.6
	19.91875	12.5		29.80625	25.9
	20.18125	18.1		30.731250000000003	31.5
	20.61874999999999	18.6		31.187500000000004	27.7
	20.200000000000003	17.7		28.512500000000003	27.5
	19.587500000000002	17.8		29.906249999999996	30.4
	20.6125	21.8		31.706249999999997	36.5
	21.35625	23		30.3375	33.6
	21.012500000000003	21.4		31.743750000000002	30.8
Jun.	21.675	22.9		31.087500000000002	33.3
	21.493750000000002	25.1		31.225	34.8
	22.018749999999997	22.3		31.862499999999997	32.1
	22.4125	25.2		32.55625	35.7
	21.725	22.6		30.08125	25.9
	21.987500000000004	22.1		32.112500000000004	29.9
	23.08125	20.7		32.306250000000006	28.2
	22.73125	20.3		32.125	32
	23.03125	22.1		32.231249999999996	34.6
	22.725	22.5		31.21875	32.6
	22.90625	20.5		31.768750000000004	28.8
	21.881249999999998	21.7		31.45	33.1
	22.825	23.6		32.14999999999999	36.3
	23.61875	23.8		32.1875	36.7
	23.181249999999995	23.1		32.075	30
	23.481250000000003	22.7		31.68125	30.3
	23.118750000000002	21.6		31.775000000000006	28.8
	23.0875	23.9		31.1875	35.4
	23.150000000000002	26.4		31.687499999999996	37.2
	23.3875	26		32.63125	37.9
	24.243750000000002	21.6		32.66875	32
	23.650000000000002	21.2		30.675	32.7
	23.456249999999997	22.7		32.168749999999996	33.3
	24.356250000000003	22.4		32.987500000000004	35.9
	24.13125	23.5		31.625	34.7
	23.95	24.6		30.768750000000004	31.5
	23.443750000000005	26.6		31.618750000000002	35.9
	24.287500000000005	26.8		31.975	35.2
	24.087500000000002	25.2		31.55625	28.1
	24.568749999999998	24.3		31.79375	30.9
Jul.	24.131249999999998	24.5		31.475000000000005	33.6
	23.974999999999998	26.9		31.28125	33.8
	23.90625	22.6		31.731249999999996	28.3
	24.1875	22.3		32.10625	32.2
	24.118749999999995	23.7		31.562499999999996	33.7
	24.44375	26.4		31.73125	35.4
	24.125	22.1		32.44375	34.3
	24.78125	24.5		32.18125	30.2
	24.4375	23.8		32.43125	32.1
	24.831249999999997	24.3		33.28750000000001	30.7
	25.224999999999998	24.6		33.40624999999999	31.7
	25.11875	25.5		32.800000000000004	33.1
	24.825000000000003	25.1		32.0375	35.2
	25.1625	26.6		31.624999999999996	36.9
	24.7375	26.5		31.518749999999997	35.3
	24.368750000000002	26.8		31.218750000000004	33.5
	24.6	27.3		32.55	35.4
	24.906249999999993	27.8		31.33125	37.9
	24.525	28.2		31.462499999999995	37.9
	24.437499999999996	29		32.28125	38.8
	24.993750000000002	27.5		31.962500000000002	37.9
	24.76875	25.4		31.818749999999998	36
	24.506249999999998	27.5		31.13125	35.6
	24.456249999999997	26.4		30.64375	33.9
	23.393749999999997	22.8		30.225	27.9
	23.762499999999996	21.6		30.24375	28
	23.606249999999992	22.2		31.04375	31.1
	24.087500000000002	24.8		31.343749999999993	31.9
	23.85	23.2		30.849999999999998	27.5
	23.856250000000003	22.6		30.3625	28
	23.51875	22.6		30.006250000000005	29.1
Aug.	23.0875	22.7		30.631249999999998	29.9
	22.612499999999997		22.8	29.731249999999996		28.9
	22.31875		22.4	29.90625		32.4
	22.775000000000006		23.5	29.756250000000005		31.4
	23.093749999999996		23.5	29.375		34.4
	22.368750000000002		23.8	28.70625		34.1
	22.106250000000003		24	29.656250000000004		33.9
	21.937499999999996		24.1	29.000000000000004		34.1
	21.475		25.3	28.924999999999997		35.7
	21.18125		21.4	28.44375		28.4
	20.86875		20.6	29.056250000000006		28.8
	20.956250000000004		21	28.862500000000004		28.2
	20.812500000000004		20.6	27.737500000000004		28
	20.568749999999998		20.5	27.724999999999998		28.1
	20.41875		20.3	28.075000000000006		27.8
	20.081249999999997		20	28.025000000000002		28.2
	20.475000000000005		20.5	28.512500000000003		28.2
	20.51875		20.2	28.13125		27.9
	20.55625		19.9	28.71875		28
	20.34375		20.2	27.875		28
	20.1		20.1	27.937500000000004		28.1
	19.5625		19.7	28.093749999999996		27.8
	19.450000000000006		19.4	28.35		27.9
	19.368749999999995		19.1	28.7		28.1
	19.76875		19.4	28.793749999999996		28.5
	19.6		19.3	27.71875		27.9
	19.643749999999997		19.1	28.037499999999998		26.9
	19.33125		19	27.06875		26.6
	18.7875		18.6	26.2375		26.2
	18.7		18.5	26.931249999999995		27.1
	19.537499999999994		19.3	27		26.9
Sep.	19.087499999999995		18.8	26.51875		26.7
	18.36875			25.98125
	17.44375			25.631249999999998
	17.05			25.375
	16.8625			24.112499999999997
	16.96875			26.012500000000003
	16.262500000000003			25.518750000000004
	16.981250000000003			25.60625
	16.125000000000004			25.05
	16.26875			24.793750000000003
	16.250000000000004			24.825000000000003
	16.3625			25.406250000000004
	17.025			24.88125
	16.50625			24.475000000000005
	15.900000000000002			25.018749999999997
	15.556249999999999			24.543749999999996
	15.4375			24.0875
	14.643749999999999			23.206249999999997
	14.2625			22.968749999999996
	13.4			22.575000000000003
	12.924999999999997			21.625
	12.94375			20.9875
	12.95			22.0875
	13.50625			21.193750000000005
	12.53125			20.7125
	12.175000000000002			19.400000000000002
	11.087500000000002			20.712500000000002
	11.631250000000001			20.25
	11.9875			20.95
	12.187500000000002			20.331249999999997
Oct.	11.674999999999999			20.58125
	11.66875			18.81875
	10.80625			18.9125
	10.806250000000002			19.112499999999997
	10.499999999999998			19.125
	10.274999999999999			18.506249999999998
	10.03125			18.231250000000003
	10.037500000000001			18.73125
	9.725			17.868750000000002
	8.69375			18.44375
	9.293750000000001			18.306250000000002
	9.275			17.0375
	8.381250000000001			17.89375
	9.19375			17.05
	8.63125			16.975
	8.50625			17.525000000000002
	8.71875			17.5625
	8.8875			16.112499999999997
	8.08125			16.54375
	7.731249999999998			15.91875
	7.312500000000002			16.65
	7.44375			15.018749999999997
	7.3625			14.356250000000001
	5.6625			13.274999999999999
	5.475			13.175
	4.9875			13.262499999999998
	5.56875			13.424999999999999
	6.09375			13.575
	5.143749999999999			13.6625
	4.35			12.449999999999998
	4.725			12.537500000000001
Nov.	4.6625000000000005			12.05
	4.150000000000001			11.518749999999999
	3.675			11.675000000000002
	3.1874999999999996			10.94375
	3.2937499999999993			10.86875
	3.3687500000000004			11.15
	3.7062500000000003			11.3125
	1.9062500000000002			10.450000000000001
	1.44375			8.51875
	-0.19999999999999993			7.262499999999998
	-0.5750000000000002			8.14375
	-0.20625000000000007			7.237500000000001
	-0.29999999999999993			6.85
	0.06249999999999997			7.19375
	-0.9875			6.0125
	-1.83125			5.887499999999999
	-1.99375			5.581250000000001
	-1.4312500000000001			6.393750000000001
	-1.88125			6.199999999999999
	-1.8937500000000003			6.487500000000001
	-1.7000000000000002			6.53125
	-1.7125000000000004			6.025
	-2.10625			5.775
	-2.0374999999999996			5.199999999999999
	-1.8437499999999998			5.2437499999999995
	-2.3125			4.6625000000000005
	-2.89375			3.7
	-3.2437500000000004			3.8124999999999996
	-2.8062500000000004			3.3625
	-3.3375			2.98125
Dec.	-3.9937500000000004			2.11875
	-4.456249999999999			1.775
	-4.737500000000001			2.8500000000000005
	-4.0625			3.4875
	-4.0874999999999995			2.7125
	-4.1			3.0374999999999996
	-3.49375			3.7750000000000004
	-3.0812500000000003			3.6562499999999996
	-4.35625			2.625
	-5.09375			1.4375
	-5.343749999999999			1.9812499999999997
	-4.81875			1.8875
	-4.45625			2.84375
	-4.49375			2.6875
	-3.5874999999999995			2.9875
	-5.249999999999999			1.6187500000000001
	-5.62			1.9933333333333332

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

39°C

Highest Temp

3 Aug. 26

-10°C

Lowest Temp

21 Jan. 26

Seasonal Breakdown

Hottest MonthJuly33.38°C

Coldest MonthJanuary-3.76°C

Wettest MonthAugust4.47mm

Windiest MonthMay27.01km/h

Huanghua 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 Huanghua historically?

July is historically Huanghua's hottest month, with average maximum temperatures around 32°C. During peak heatwave events, the highest recorded temperatures have reached 42°C on 2023-06-22.

2. What is the coldest month in Huanghua historically?

January is Huanghua's coldest month, with average minimum temperatures around -5°C. The all-time record low of -18°C was recorded on 2021-01-07.

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

Huanghua's average annual rainfall is approximately 635.8mm, based on records spanning 17 years.

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

Huanghua historically records approximately 101.3 rainy days per year. August has the highest number of rain days at an average of 17.5 days.

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

The all-time highest temperature recorded in Huanghua is 42°C on 2023-06-22.

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

The all-time lowest temperature recorded in Huanghua is -18°C on 2021-01-07.

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

Huanghua experiences its strongest winds during April. The historic gust record of 48.2 kph was recorded on 2013-03-09.

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

Usually, Huanghua's humidity peaks in August at around 71.8% and drops to its lowest in March at approximately 39.5%.

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

Huanghua 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

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

Huanghua 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

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