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

Xinhualu Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-1.5499999999999998	-4.4		9.256250000000001	2.3
	-0.8187499999999999	-3.3		7.7437499999999995	4.2
	-1.4187499999999997	-1.6		8.04375	8.9
	-1.5750000000000004	2.5		7	10
	-1.7000000000000002	0.5		5.91875	9
	-1.5875000000000001	0.9		5.987500000000001	9.3
	-2.16875	0.6		5.96875	9.7
	-2.1624999999999996	0.5		7.225	9.4
	-2.125	2.3		6.362500000000001	14.8
	-2.2125000000000004	1.5		6.699999999999999	8.2
	-1.6062500000000004	-2.2		7.6312500000000005	6.5
	-1.9187499999999997	1		7.8999999999999995	14.9
	-1.5312499999999998	3.6		8.58125	13
	-1.4625000000000001	6.5		8.1125	14.6
Jan.	-2.4250000000000003	5.7		6.987499999999999	18
	-1.9937499999999997	4		6.9375	10.7
	-1.9562500000000005	-1.2		8.0625	8.2
	-1.3187499999999999	-1.2		8.98125	5.5
	-0.29374999999999996	-3.4		9.43125	-0.4
	-0.60625	-10.2		7.4375	-2.3
	-1.3687499999999997	-11.7		6.93125	-1.7
	-1.975	-5.4		6.9125000000000005	4.3
	-1.98125	-3.6		7.50625	8.4
	-1.4625000000000004	-1.6		6.18125	9.5
	-2.03125	0.3		6.731250000000001	5
	-1.5374999999999996	-0.6		7.3062499999999995	7.4
	-1.7625000000000002	-0.6		7.55	7.2
	-1.35625	-0.2		7.925000000000001	9.5
	-1.2312500000000002	0.4		8.975	8
	-1.2	0.8		9.081249999999999	4.2
	-0.4437499999999999	0.5		8.506250000000001	8.4
	-1.2687499999999998	0.5		7.793750000000001	12.1
	-1.48125	1		7.937500000000002	11.3
	-1.3749999999999998	3.2		8.49375	12.5
	-1.18125	4.2		9.412500000000001	15.9
	-1.1937499999999999	6.3		9.11875	15.5
	-0.37500000000000006	-0.3		8.8875	5.8
	-0.9125000000000001	-1.4		7.449999999999999	7.3
	-1.3312499999999998	-2.3		7.643750000000001	9.2
	-1.39375	-1.7		8.662500000000001	8
	-0.9750000000000001	1		9.4875	13.5
	-0.08124999999999968	2		9.74375	14
	0.24375000000000013	5.5		10.168750000000001	17.4
	0.6000000000000002	6.5		11.225000000000001	18.8
	0.9187500000000001	7.6		11.037499999999998	22.1
Feb.	0.7625	2		9.73125	12.4
	0.71875	0.5		11.10625	7.5
	0.60625	0		11.000000000000002	11.8
	1.6749999999999998	2.5		11.1625	14.9
	1.7749999999999997	5.6		12.362499999999999	18.8
	1.14375	8		11.462499999999999	22.1
	1.1687500000000002	10.1		11.762500000000001	25.3
	1.5312499999999998	11.6		12.025	17.9
	1.9499999999999997	3.9		12.356250000000003	11.4
	2.3812499999999996	4.6		13.281249999999998	10.8
	2.6750000000000003	5.2		13.05625	13
	2.95625	7.3		13.05	9.4
	2.9125	5.7		13.225000000000003	12.7
	3.0937499999999996	5.8		12.575	9.3
	2.73125	1.5		11.812500000000002	4.4
	1.8625000000000003	1.1		12.843749999999998	6.1
	3.1749999999999994	2		14.187500000000002	11.7
	3.2499999999999996	4.5		15.35625	14.7
	4.10625	7.1		14.39375	13.3
	4.20625	5.4		13.8875	11.7
	3.65	3.3		15.2	11.7
	4.875	2.6		16.6625	14.1
	4.699999999999999	6.5		16.5	15.3
	4.9125000000000005	4.1		16.356250000000003	17.9
	5.65	8		17.862499999999997	18.1
	6.3999999999999995	3.3		17.0875	15.7
	6.03125	5.6		17.29375	18
	6.387499999999999	5.1		17.049999999999997	13.4
Mar.	5.768750000000001	5.3		18.24375	9.4
	5.431250000000001	6.9		16.799999999999997	10.1
	6.2437499999999995	7.9		17.068749999999998	9.2
	7.1875	5.5		17.2875	11.6
	7.487500000000001	2.7		17.04375	15.5
	6.3125	6.7		16.6125	17.5
	5.862500000000001	7.6		17.412499999999998	19.3
	7.0874999999999995	9.8		18.46875	21.3
	6.900000000000001	10.5		17.6875	20.9
	7.29375	11.5		18.6	19.7
	7.3812500000000005	9.1		18.6625	21.7
	7.6625	11.7		19.343750000000004	23
	7.5625	11.3		21.349999999999998	23.5
	8.85625	11.1		21.2625	21
	8.75	11.7		20.63125	25.5
	9.674999999999999	13.1		19.862499999999997	20.8
	8.41875	8.3		20.20625	20.8
	8.6375	9.2		21.725	25.1
	9.11875	11.9		21.25	23.7
	8.793750000000001	13		19.162499999999998	26.7
	7.799999999999998	9.4		18.643749999999997	20.2
	8.78125	11.7		19.393749999999997	26.7
	8.825000000000001	11.1		19.78125	22.9
	8.85625	10.9		21.024999999999995	21.7
	10.0125	9.5		23.41875	12.5
	10.543750000000001	11.2		23.543750000000003	22.9
	10.774999999999999	14.9		22.89375	25.7
	10.249999999999998	12.7		21.837500000000006	24.1
	9.56875	13.2		21.35	23
	10.231250000000001	11.5		21.956249999999997	18.5
	10.39375	10.4		23.212499999999995	22.9
Apr.	11.543750000000001	12.4		24.843749999999996	24.5
	12.300000000000002	14.9		24.81875	23.6
	12.649999999999999	13.4		25.65	27
	13.48125	14.4		24.58125	27.6
	11.193749999999998	13		23.18125	29.9
	11.306249999999999	10.6		23.781250000000004	18.2
	12.2	7.8		20.956249999999997	13.2
	11.456249999999999	7.7		22.4375	13.3
	11.818750000000001	8		24.512499999999996	21.8
	12.84375	9.4		24.03125	24.4
	12.393749999999999	11.6		23.6625	25.9
	12.862499999999999	14.1		25.200000000000003	30
	13.05	16.1		25.937499999999996	26.9
	12.968749999999998	13.5		25.962500000000002	21.3
	13.712499999999999	10.4		27.337500000000002	22.8
	14.250000000000002	10.3		29.293749999999996	26.2
	14.88125	13		28.41875	26.8
	15.3375	13.3		27.862499999999997	22.2
	14.75625	11.9		27.206249999999997	26.6
	15.06875	11.5		27.824999999999992	28.6
	15.099999999999998	15.2		27.79375	30.2
	15.987499999999997	17.8		27.400000000000002	32.1
	15.80625	15.5		28.3	24.2
	15.987499999999999	11.8		26.168750000000006	24.8
	14.706249999999999	12.3		26.38125	29
	14.493749999999999	14.5		25.943749999999998	33.1
	15.3125	17.5		27.95625	33.4
	16.506249999999998	19.2		29.793750000000003	35.8
	16.918750000000003	20.9		29.31875	33.1
	17.29375	18.9		29.306250000000006	32.5
May	17.212500000000002	18.1		28.787499999999998	31.9
	16.412499999999998	20.1		28.918749999999996	30.9
	17.19375	19.4		30.7375	25.9
	18.487499999999997	18.1		31.81875	25.6
	18.831249999999997	17.9		31.15	27.1
	18.3	19.3		30.9875	25.6
	18.281250000000004	15.6		29.068749999999998	27.1
	17.53125	19.5		30.206249999999997	26.6
	17.25	19.8		30.1	31.1
	18.318749999999998	20.8		30.674999999999994	27.4
	19.1625	19.5		31.124999999999996	22.4
	19.36875	17.6		30.5625	22.1
	19.500000000000004	16.3		30.781250000000004	29
	19.14375	21.5		31.218750000000004	28.9
	19.125	20.8		31.5125	31.4
	19.962500000000002	19.2		30.99375	34.1
	19.4625	19.9		31.6375	33.4
	20.775000000000002	21.4		32.862500000000004	34.6
	20.93125	23.6		32.825	36.5
	20.925	24.7		31.575000000000003	37.7
	20.543749999999996	21.1		32.1125	34.1
	20.6	22.9		33.75625000000001	35.9
	21.762500000000003	19.5		33.6875	33.7
	22.09375	17.4		34	26.6
	22.6	18.7		34.46874999999999	30.7
	22.668750000000003	19		33.75625	34.4
	21.918750000000003	22.5		32.862500000000004	35.5
	22.237499999999997	21.8		34.84375	36.1
	23.156250000000004	23.7		34.96250000000001	34.2
	23.08125	20		34.962500000000006	33.4
	23.4375	22.5		35.28125	36
Jun.	23.96875	24.5		34.974999999999994	36.8
	23.5	23.3		33.706250000000004	35.6
	23.124999999999996	24.3		33.74375	35.9
	22.518749999999997	20.9		33.11875	32.8
	22.81875	20.2		33.225	21.3
	23.106249999999996	19.1		33.268750000000004	32.1
	23.775	17.3		33.9	25.9
	23.931249999999995	18.2		34.06875	23.7
	23.96875	18.9		33.6875	28.7
	23.043750000000003	20.9		33.89375	32.5
	23.15	20.1		32.03125	32.5
	22.581249999999997	22.3		33.03125	32.1
	23.3	22.9		33.45	37
	23.956249999999997	25.1		33.9	37.9
	23.787499999999998	26.3		32.606249999999996	38.1
	23.887500000000003	25.3		34.443749999999994	36.2
	24.437499999999996	23.6		34.237500000000004	36.3
	24.6875	26.8		34.074999999999996	37.8
	24.65	24.5		33.543749999999996	32.9
	23.8625	24.1		33.2	37.6
	23.63125	25.9		33.34375	38.1
	24.218750000000004	25.7		33.550000000000004	35.6
	23.6	24.2		34.762499999999996	37
	24.54375	25.6		34.637499999999996	41.3
	24.981250000000003	26.7		34.087500000000006	39.6
	24.568749999999998	28		33.26875	37.7
	24.837500000000002	27.7		34.00000000000001	40.6
	24.856249999999992	25.9		34.01875	37.9
	24.4	27.2		34.53125	36.2
	24.837499999999995	29.1		35.0125	39.9
Jul.	24.46875	27.1		32.95625	36.1
	24.031250000000004	26.3		32.31249999999999	34.6
	23.749999999999996	22.1		32.11875	28.5
	24.056250000000002	21.5		32.50625	34.4
	24	25.4		32.04375	37.4
	24.10625	23.4		32.80625	36.4
	24.743749999999995	25		33.925	38.5
	25.24375	24.7		34.42499999999999	36.7
	25.41875	24		33.14375	36.9
	25.25625	23.8		35.05	37
	25.65625	23.5		35.09375000000001	33.1
	25.387499999999996	24.4		34.9375	36.3
	24.9375	24		33.76875	32.2
	24.9375	24.9		32.89375	29.9
	25.075	24.2		33.46875	31
	24.93125	24.9		33.65	30.8
	25.356249999999996	25.8		34.1375	33.3
	24.981249999999992	25.8		33.318749999999994	33
	24.518750000000004	25.9		32.56875	37.5
	24.931250000000002	25.7		34.3875	37.5
	25.537499999999998	23.7		34.50625	37.1
	25.51875	23.4		33.300000000000004	34.6
	25.0125	24.8		32.98125	35.4
	24.450000000000003	25.9		32.012499999999996	37.3
	24.393750000000004	23.7		32.62500000000001	31.9
	23.65625	20.3		31.800000000000008	30.7
	23.41875	22.2		32.537499999999994	30
	24.3125	22.8		33.74374999999999	25.3
	24.575	20.7		33.08749999999999	23.5
	24.0125	21.3		33.20625	25.7
	23.95	21		32.66250000000001	27.7
Aug.	24.10625		21.5	33.16875		29.9
	23.3375		22.2	32.612500000000004		31
	23.0625		23.3	32.868750000000006		31
	23.750000000000004		23.7	32.2625		31.2
	23.78125		23.9	31.7375		27.4
	22.75		22.8	31.4125		29.9
	22.575000000000003		21.7	30.849999999999998		29.3
	22.481249999999996		22.7	31.1875		31.2
	22.106249999999996		22	29.999999999999996		30.3
	21.28125		21.6	30.406249999999993		30.5
	21.31875		20.9	30.381250000000005		30.4
	20.575		20.6	29.5375		29.3
	20.3875		20.4	28.41875		28.2
	20.256249999999998		20.4	28.906249999999996		29.6
	19.962500000000006		19.7	29.474999999999998		29.3
	20.243750000000002		19.9	28.500000000000004		28.3
	20.112500000000004		20.3	29.293750000000003		29.2
	20.650000000000002		20.5	29.56875		29.7
	20.9375		20.3	29.987499999999997		29.2
	20.206249999999997		20	29.674999999999997		30
	19.58125		19.7	28.225		28.6
	19.7625		20.4	28.937500000000004		29
	20.118750000000002		19.8	28.875		28.8
	19.69375		19.3	29.243750000000002		28.8
	19.26875		19	28.6625		28
	19.306250000000002		19.1	29.056249999999995		28.8
	19.875000000000004		19.6	29.1875		28.4
	18.868750000000002		18.4	27.924999999999997		26.9
	18.575000000000003		18.4	26.8		26.4
	18.1875		18.1	27.29375		27.3
	18.8125		18.5	27.625		27.4
Sep.	18.775000000000002			27.368750000000002
	18.599999999999998			27.55625
	18.1875			26.668750000000003
	17.9375			26.48125
	17.568749999999994			25.29375
	17.793750000000003			26.98125
	17.031249999999996			27.825
	16.5875			26.418750000000003
	16.15			26.2
	16.606250000000003			24.99375
	16.49375			25.412499999999998
	17.03125			26.093750000000004
	17.887500000000003			25.287499999999998
	17.0625			25.187500000000004
	16.625			26.562499999999996
	16.78125			26.662499999999998
	16.36875			25.356249999999996
	16.03125			25.850000000000005
	15.19375			26.068749999999998
	14.53125			23.675000000000004
	13.70625			22.681250000000002
	13.8			21.531249999999996
	13.95625			22.962500000000006
	14.574999999999998			23.8625
	14.331249999999997			23.29375
	13.993749999999999			22.874999999999996
	13.44375			22.61875
	13.68125			22.15625
	13.9125			23.581250000000004
	13.787500000000001			23.124999999999996
Oct.	13.643750000000002			22.10625
	13.50625			22.125000000000004
	12.693750000000001			22.368750000000002
	12.137500000000001			22.4375
	12.45625			21.55
	12.375			20.724999999999998
	12.000000000000002			21.556250000000002
	11.862500000000002			21.943749999999994
	12.074999999999998			21.8
	11.106250000000001			21.306250000000002
	11.13125			20.062500000000004
	10.556249999999997			20.481249999999996
	11.06875			20.575
	12.049999999999999			21.4
	11.49375			20.643749999999997
	11.031250000000002			20.89375
	11.24375			20.900000000000002
	11.768749999999999			20.24375
	10.53125			20.53125
	9.999999999999998			20.04375
	9.275			19.3875
	9.55625			17.331249999999997
	8.706249999999999			17.550000000000004
	8.48125			17.075
	8.50625			17.674999999999997
	8.2875			17.725
	7.91875			16.79375
	8.149999999999999			16.856250000000003
	8.26875			17.4625
	7.262499999999999			17.300000000000004
	7.75			17.5
Nov.	8.0625			17.275
	7.662500000000001			15.606249999999998
	6.8625			15.26875
	6.60625			14.987499999999999
	6.73125			15.643750000000002
	6.206250000000001			15.787500000000001
	6.81875			15.137500000000001
	5.500000000000001			14.0625
	4.4750000000000005			12.4
	2.925			11.500000000000002
	2.6937499999999996			11.80625
	2.4875			11.8
	3.5124999999999997			12.31875
	3.7062500000000003			12.281249999999998
	3.087500000000001			10.981250000000001
	2.08125			10.06875
	1.8499999999999996			10.80625
	1.8875			11.525
	1.63125			11.262499999999998
	2.24375			11.812499999999998
	1.875			11.7625
	1.7			11.125
	1.4062500000000002			11.6125
	1.8437499999999998			11.406250000000002
	1.4562499999999998			11.5375
	1.5499999999999998			10.44375
	0.07500000000000001			8.34375
	-0.38749999999999996			8.20625
	-1.04375			8.668750000000001
	-0.2			7.893750000000001
Dec.	-0.3999999999999999			7.1312500000000005
	-1.11875			7.299999999999998
	-1.5875			8.056249999999999
	-0.8375000000000001			8.937499999999998
	-0.25			9.599999999999998
	-0.8562499999999998			8.362499999999999
	-0.5812499999999998			8.700000000000001
	-0.4125			8.9125
	-0.5312500000000002			8.656250000000002
	-1.4875			7.24375
	-1.45			7.7562500000000005
	-1.5999999999999999			7.28125
	-1.7937499999999997			7.368749999999999
	-1.05			8.362499999999999
	-0.9812499999999997			9.06875
	-1.59375			8.0625
	-2.2199999999999998			7.6

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

41°C

Highest Temp

8 Jul. 26

-12°C

Lowest Temp

21 Jan. 26

Seasonal Breakdown

Hottest MonthJuly35.86°C

Coldest MonthJanuary-0.63°C

Wettest MonthAugust22.93mm

Windiest MonthAugust23.31km/h

Xinhualu 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 Xinhualu historically?

July is historically Xinhualu's hottest month, with average maximum temperatures around 34°C. During peak heatwave events, the highest recorded temperatures have reached 43°C on 2011-06-08.

2. What is the coldest month in Xinhualu historically?

January is Xinhualu's coldest month, with average minimum temperatures around -1°C. The all-time record low of -12°C was recorded on 2015-11-25.

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

Xinhualu's average annual rainfall is approximately 783.01mm, based on records spanning 17 years.

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

Xinhualu historically records approximately 118.05 rainy days per year. July has the highest number of rain days at an average of 18.4 days.

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

The all-time highest temperature recorded in Xinhualu is 43°C on 2011-06-08.

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

The all-time lowest temperature recorded in Xinhualu is -12°C on 2015-11-25.

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

Xinhualu experiences its strongest winds during April. The historic gust record of 50 kph was recorded on 2025-04-12.

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

Usually, Xinhualu's humidity peaks in August at around 75.5% and drops to its lowest in December at approximately 45.6%.

Recent Blogs On Weather

See all blogs

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

Xinhualu 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

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

Xinhualu 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

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