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

Xingtai Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-4.375	-2.2		5.28125	4.1
	-4.425	-4.1		4.2875000000000005	5.1
	-4.1937500000000005	-0.8		4.76875	5.7
	-4.2375	0.7		4.3875	7
	-3.9250000000000007	-1.7		3.54375	6.4
	-4.956249999999999	0.4		3.525	10.3
	-4.668750000000001	0		3.7937499999999997	5.8
	-4.8687499999999995	-1.1		4.5687500000000005	9.4
	-4.80625	2.2		3.7937500000000006	14.8
	-4.85	-1.8		4.70625	4.5
	-4.043749999999999	-5		4.6812499999999995	1.8
	-4.500000000000001	-1.6		5.1812499999999995	13.1
	-4.5687500000000005	-0.9		5.9625	7.3
	-4.34375	0.2		4.4937499999999995	10
Jan.	-4.987500000000001	4		3.6999999999999993	15.3
	-4.78125	-0.8		3.8937500000000003	5.9
	-4.4375	-4.8		4.75	1.8
	-4.1499999999999995	-4.6		6.15	-0.9
	-3.6999999999999997	-5.4		5.725	-1.4
	-4.199999999999999	-7		3.5500000000000003	-2.2
	-4.26875	-8.4		3.48125	-0.3
	-5	-6.5		3.7687499999999994	0.7
	-5.2375	-3.3		3.8562500000000006	4.3
	-4.98125	-2.7		3.7499999999999996	5.4
	-4.56875	-1.4		4.41875	2.4
	-4.668749999999999	-2.4		5.11875	5.6
	-3.6874999999999996	-1		5.43125	4.8
	-4.10625	-2.4		5.09375	5.4
	-3.65	-1.7		6.15625	1.2
	-3.7062499999999994	-1.9		6.0625	4
	-3.7999999999999994	-1.1		5.84375	6
	-3.8000000000000003	0.1		5.11875	10.8
	-3.925	-1.3		5.4125	6.8
	-3.6875	1.6		6.1125	11.3
	-3.53125	2.6		6.3375	12.3
	-3.3187499999999996	1.1		6.30625	9.7
	-3.4625000000000004	-3.4		5.8	0.5
	-3.8687499999999995	-4.7		4.59375	3.5
	-3.9937499999999995	-3.2		5.70625	7.7
	-3.5812500000000003	-1.5		7.1625	5.6
	-3.5187499999999994	0.2		7.175000000000001	12.3
	-2.725	1		7.85625	13.2
	-2.40625	2.7		8.08125	14.2
	-2.2187499999999996	5.7		8.675	16.6
	-1.9875	7.2		7.75	17.5
Feb.	-2.3875	1		7.71875	8.9
	-1.975	-1.2		8.66875	7.3
	-2.1375000000000006	1		7.8125	12.4
	-1.44375	2.8		9.60625	12.3
	-1.11875	5.4		10.25	19
	-1.30625	7.5		9.275	23.1
	-1.3500000000000003	13.1		10.331249999999999	25.8
	-1.46875	5.9		10.175	15.1
	-1.2125000000000001	1.7		11.018749999999999	5.6
	-0.15625000000000003	0.9		10.231250000000001	11.7
	0.16874999999999993	4.1		10.9125	14.4
	-0.09999999999999998	5.4		11.056249999999999	8
	0.34375	3.3		11.35625	6
	1.15625	1.4		12.0875	6.5
	0.2875000000000002	1.2		10.49375	3
	-0.2062500000000001	-0.4		13.387499999999998	3.1
	1.5437500000000002	0.2		14.78125	5
	1.5874999999999997	3		13.899999999999999	6.6
	1.10625	2.5		12.475000000000001	8
	1.5312499999999998	1.8		12.443749999999998	7.9
	0.7875	1.5		14.493749999999999	8.6
	2.1062499999999997	2.7		15.10625	13.1
	2.3312500000000003	3.7		15.037500000000001	12.2
	2.38125	4.3		15.85625	19
	3.5812500000000003	6.8		17	15.6
	3.30625	4.1		15.7	14.3
	3.91875	5.4		16.424999999999997	17.4
	4.18125	4.2		16.81875	7.7
Mar.	3.8124999999999996	2.9		17.381249999999998	12.6
	4.3500000000000005	5.1		16.69375	15
	4.3999999999999995	6.5		17.181250000000002	16
	5.2562500000000005	6.2		16.3875	11.6
	5.193749999999999	3.4		17.51875	16.3
	5.0625	6.2		16.9625	18.1
	4.73125	8		17.737499999999997	21.3
	5.6812499999999995	10.7		18.0125	20.9
	5.6875	10.9		18.90625	20.2
	5.975	11.4		18.5125	24.5
	5.59375	13.3		18.712500000000002	28
	6.15	16.1		19.887499999999996	25.7
	6.6812499999999995	14		21.000000000000004	22.5
	7.224999999999999	11.7		20.15625	25.1
	6.624999999999999	12.2		19.868750000000002	23.9
	7.749999999999999	8		20.1125	16.6
	7.8	7.6		21.362499999999997	22.3
	8.425	9.8		21.375	20.1
	7.750000000000001	9.1		20.2875	23.7
	7.2625	12.6		19.36875	28.2
	7.3	7.9		19.118750000000002	20.2
	7.737500000000002	10.6		19.993750000000002	24.3
	7.40625	6.6		19.893749999999997	21.5
	7.543750000000001	5.5		22.5125	17.4
	8.418750000000001	8		21.962500000000002	18.7
	9.6875	8.6		23.15	21
	8.9375	10.1		21.71875	26.7
	9.38125	12.8		21.118750000000002	25.5
	7.76875	14.7		21.362500000000004	26.3
	8.84375	15.5		22.0375	24.2
	9.7375	13		23.693750000000005	25.8
Apr.	10.456249999999999	13.6		25.04375	27.2
	10.83125	13.5		24.943750000000005	19.9
	11.53125	11.7		24.45625	30.2
	10.924999999999997	15.3		24.025	28.5
	10.38125	13.2		22.812500000000004	28.7
	10.59375	7		23.26875	21.9
	11.1875	10.2		21.656249999999996	20.6
	9.9875	6.8		21.7125	22.3
	10.962499999999999	12.1		24.30625	25.5
	11.41875	12.8		23.45	28.4
	11.05	14.3		24.499999999999996	28
	11.868749999999999	16.5		25.4625	26.4
	12.0625	12.9		24.825000000000003	25.6
	12.10625	10.7		25.881249999999994	22.1
	12.675000000000002	10.8		26.974999999999998	25
	13.21875	11.9		27.04375	28.5
	13.300000000000002	15.8		28.55625	29.9
	13.981250000000003	12.4		28.418749999999996	23.8
	14.08125	10.7		26.93125	25.9
	14.287499999999998	11		27.731250000000003	28.5
	14.225	16.9		27.66875	33
	14.687500000000004	20.2		26.96875	30.4
	14.60625	12.8		27.450000000000003	25
	15.10625	12.5		25.412500000000005	30.7
	13.468750000000002	17		24.525000000000002	33.5
	13.575000000000001	19		25.46875	35.8
	14.05625	17.4		28.593750000000004	31.7
	15.29375	20.1		29.70625	36.8
	15.51875	23.1		29.237500000000004	39.4
	15.681250000000002	22.7		29.23125	36
May	16.181250000000002	21.6		29.23125	34.9
	15.906250000000002	18.1		28.868750000000002	28.4
	16.66875	17.7		31.3125	19
	17.318749999999998	17		31.568749999999994	26.8
	17.84375	16.6		31.70625	26.7
	17.206249999999997	17.6		30.900000000000002	23.7
	17.287499999999998	15.1		30.137500000000006	26.5
	17.224999999999998	17.3		30.618749999999995	23.8
	17.39375	17.2		31.025	31.7
	18.5	19.9		31.400000000000002	32.2
	18.3625	17.5		31.112499999999997	21.6
	18.2875	16.9		30.8625	20.8
	17.8125	16.4		31.518749999999997	29.9
	18.425000000000004	19.9		32.193749999999994	29.7
	19.28125	20.6		32.599999999999994	34
	19.406250000000004	22.6		32.56249999999999	38.1
	19.58125	22.1		32.425000000000004	37
	19.90625	24.2		32.3375	37.6
	19.674999999999997	24.1		33.75	40.6
	19.981249999999996	21.2		33.025	37.6
	20.425	18.6		33.01875	31.5
	19.98125	17.7		33.825	29.7
	21.05625	14.3		33.20625	17.8
	20.831249999999997	13.2		33.662499999999994	27.4
	21.087500000000002	18.8		33.4625	34.2
	20.71875	19.3		33.28125	31.3
	21.068749999999998	18.1		33.23125	30
	20.625	19.4		33.974999999999994	32.7
	21.781249999999996	23.3		35.275	38.1
	21.874999999999996	22.6		34.19375	35.5
	21.9375	20.7		34.8125	34.1
Jun.	22.175	25.1		34.60000000000001	36.6
	22.500000000000004	24.9		34.19375	37
	22.74375	23.1		34.15625	35.5
	22.875	26.9		34.425	38.2
	22.69375	22.3		34.056250000000006	26.1
	22.80625	20.9		34.9375	34.5
	23.78125	22.1		35.4125	29.2
	23.712499999999995	20.5		34.3625	33.1
	23.349999999999998	21.6		35.012499999999996	35.1
	22.85	24.1		34.19375000000001	35.8
	23.14375	24.4		33.9875	33.4
	22.181250000000002	23.1		34.58125	34.7
	22.8375	23.7		35.331250000000004	39.2
	23.699999999999996	23.5		34.71874999999999	37.8
	23.849999999999998	24.1		34.918749999999996	35.7
	23.86875	21.9		33.974999999999994	36.2
	23.468749999999996	22.5		34.50625	35.8
	23.449999999999996	26.2		34.1	39
	23.200000000000003	27.4		33.762499999999996	40.1
	23.64375	27		34.2	41.2
	24.362500000000004	23.2		34.79375	38.9
	24.3	22.4		34.09375	35.7
	23.731250000000003	22.9		35.04375	36.4
	24.2875	23.8		34.76875	38.1
	24.099999999999998	26.4		33.29375	41.1
	23.700000000000003	27.7		31.962499999999995	38.6
	23.287499999999998	26.7		33.325	37.6
	23.981250000000003	28.2		33.699999999999996	36.4
	24.243750000000002	25.6		33.25625	31.9
	24.231249999999996	26		34.18125	38.1
Jul.	24.181249999999995	23		32.7375	34.9
	23.393749999999997	25.7		32.5875	33.4
	23.193749999999994	20.7		33.068749999999994	28.9
	23.537499999999998	21.8		32.224999999999994	34.1
	23.28125	23.3		32.6	37.2
	23.6	24.8		32.45625000000001	37.7
	23.437500000000004	21.8		33.59375	37.3
	23.775	23.3		32.3125	32.9
	23.81875	23		33.28125	31.5
	23.8625	23.7		34.293749999999996	25.8
	24.381250000000005	24.1		34.518750000000004	33.2
	24.287499999999998	26		34.53124999999999	35.9
	24.71875	26.4		34.037499999999994	36.2
	24.4	25.4		32.99375	34.7
	24.1	25.1		32.46875	35.7
	23.9875	25.4		33.8	33.8
	24.3625	25.8		33.7	35.5
	24.212500000000002	27.3		32.37500000000001	38.1
	24.04375	27.2		32.625	38.6
	24.068749999999998	27.6		33.99375	38.5
	24.343750000000004	23.5		33.849999999999994	37.9
	24.293750000000003	23.3		32.50625	36.3
	23.7625	27		31.575	38.8
	23.837500000000002	27.4		31.90625	40.2
	23.287499999999998	23.5		32.2625	33.7
	22.8125	20.9		31.243750000000002	33.6
	22.918749999999996	21		31.431250000000002	35.1
	23.368750000000002	22.6		32.7375	28.7
	23.39375		22	33.06249999999999		24.4
	23.031250000000004		21.2	31.862499999999997		29.3
	22.818749999999998		21.5	31.800000000000008		30.8
Aug.	22.45		24.4	32.11875		32.7
	21.825		22.9	31.056250000000002		33.5
	21.6125		22.9	30.393749999999997		35.5
	21.6125		22.9	30.4875		30
	21.95		22.1	30.062499999999996		30.6
	21.4		21.3	29.543749999999996		29.4
	21.056250000000002		20.7	30.7		30.6
	21.162499999999998		20.9	30.018749999999997		30
	20.862500000000004		20.7	30.7		30.8
	20.087500000000002		20.4	29.46875		29.3
	20.45625		20	30.012500000000003		29.7
	19.743750000000002		19.6	29.8		29.2
	19.431249999999995		19.4	28.825000000000003		29.4
	19.14375		19.3	29.1875		29.1
	19.3875		19.1	29.46875		29.4
	19.23125		19	29.537499999999998		29.4
	19.34375		19.5	29.768749999999997		29.3
	19.71875		19.4	29.375		29.2
	20.081249999999997		19.3	29.45625		28.8
	19.4		19	29.0875		29
	18.581249999999997		18.8	28.8		29.1
	19.0375		19.5	29.506249999999998		28.9
	18.91875		18.7	29.618749999999995		29.1
	18.581249999999997		18.1	29.6375		29
	18.837500000000006		18.5	29.831250000000004		29.1
	18.481249999999996		18.3	29.04375		29.4
	18.18125		17.8	28.650000000000002		27.4
	17.74375		17.5	27.549999999999997		27.2
	17.9			27.54375
	17.38125			28.19375
	18.18125			28.025000000000002
Sep.	18.08125			27.031249999999996
	17.474999999999998			27.11875
	16.6			26.581249999999994
	16.64375			25.599999999999998
	16.099999999999998			24.76875
	16.28125			26.8
	15.525			27.2
	16.243750000000002			26.481250000000003
	15.08125			25.6375
	15.149999999999999			26.068749999999998
	15.375000000000002			25.51875
	15.5625			26.187500000000004
	16.4			25.3125
	15.862499999999999			25.00625
	15.5625			26.587500000000002
	15.51875			25.618750000000002
	15.306249999999999			24.48125
	14.15625			24.237499999999997
	13.35			24.175000000000004
	13.049999999999999			24.331249999999997
	12.587499999999999			22.9375
	12.312500000000002			21.650000000000002
	12.537500000000001			22.775
	12.662500000000001			22.175000000000004
	11.84375			21.818749999999998
	11.750000000000002			20.8
	10.6			21.687500000000007
	11.325			21.506250000000005
	11.88125			22.48125
	12.237499999999999			21.6875
Oct.	11.55			22.46875
	11.575000000000001			20.74375
	10.406249999999998			20.59375
	9.9375			20.487500000000004
	10.231250000000001			20.237499999999997
	10.20625			19.84375
	9.4875			19.88125
	9.44375			19.749999999999996
	9.26875			19.281249999999996
	8.218750000000002			20.062499999999996
	8.725			19.56875
	8.49375			18.88125
	8.25625			19.875
	9.018749999999999			19.025
	8.45625			18.15625
	8.14375			18.768750000000004
	8.65625			19.443749999999998
	8.9375			18.3625
	8.2125			18.943749999999998
	7.625000000000001			17.968750000000004
	6.668749999999999			17.900000000000002
	6.862500000000001			16.99375
	6.30625			16.05
	5.56875			14.76875
	5.424999999999999			15.156249999999998
	5.4625			15.25
	4.86875			14.7625
	5.33125			14.75
	4.6125			15.631250000000003
	4.237500000000001			14.756249999999998
	4.1375			15.256250000000001
Nov.	4.48125			13.70625
	3.7			12.625
	3.6874999999999996			13.537499999999998
	3.04375			12.975
	3.2937500000000006			12.381250000000001
	3.425			12.95
	3.2375			12.3375
	2.1812500000000004			11.675
	0.8874999999999998			10.124999999999998
	-0.5499999999999997			9.700000000000001
	-0.20000000000000032			10.4375
	-0.45625000000000004			9.94375
	0.012500000000000067			9.0375
	-0.18125000000000008			10.5
	-0.8625			7.975
	-1.5999999999999996			7.637499999999998
	-2.3437500000000004			7.53125
	-1.8062500000000004			8.4375
	-1.34375			8.38125
	-1.55			8.79375
	-1.5375			8.95625
	-1.3			8.3375
	-1.975			8.549999999999999
	-1.81875			7.70625
	-1.8187500000000003			7.706250000000001
	-2.3500000000000005			7.20625
	-3.250000000000001			5.574999999999999
	-3.5437500000000006			5.656249999999999
	-3.1687499999999997			5.449999999999999
	-3.46875			4.5375000000000005
Dec.	-3.831249999999999			4.21875
	-4.30625			4.8812500000000005
	-4.475			5.3875
	-3.775000000000001			6.193749999999999
	-3.8687499999999995			5.7749999999999995
	-3.78125			5.5125
	-3.7624999999999997			6.3500000000000005
	-3.4187499999999997			5.7250000000000005
	-4.218750000000001			5.024999999999999
	-4.918749999999999			3.86875
	-5.043750000000001			4.606249999999999
	-4.85625			4.1875
	-4.625			4.775
	-4.25			5.3625
	-3.9874999999999994			5.0625
	-5.275			4.8999999999999995
	-5.279999999999999			4.593333333333334

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

41°C

Highest Temp

4 Jul. 26

-8°C

Lowest Temp

21 Jan. 26

Seasonal Breakdown

Hottest MonthAugust36.32°C

Coldest MonthJanuary-2.16°C

Wettest MonthMay4.8mm

Windiest MonthMay26.24km/h

Xingtai 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 Xingtai historically?

June is historically Xingtai's hottest month, with average maximum temperatures around 34°C. During peak heatwave events, the highest recorded temperatures have reached 44°C on 2023-07-07.

2. What is the coldest month in Xingtai historically?

January is Xingtai's coldest month, with average minimum temperatures around -4°C. The all-time record low of -17°C was recorded on 2023-12-21.

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

Xingtai's average annual rainfall is approximately 538.4mm, based on records spanning 17 years.

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

Xingtai historically records approximately 94.8 rainy days per year. July has the highest number of rain days at an average of 17.7 days.

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

The all-time highest temperature recorded in Xingtai is 44°C on 2023-07-07.

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

The all-time lowest temperature recorded in Xingtai is -17°C on 2023-12-21.

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

Xingtai experiences its strongest winds during April. The historic gust record of 47.2 kph was recorded on 2025-04-30.

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

Usually, Xingtai's humidity peaks in August at around 68.7% and drops to its lowest in March at approximately 35.5%.

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

Xingtai 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

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

Xingtai 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

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