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

Xintai Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-4.6125	-3.1		4.975	1.8
	-3.8500000000000005	-4.8		4.8375	1.6
	-3.8562499999999993	-4		4.5	4.5
	-3.7562499999999996	-1.3		4.3374999999999995	4.7
	-3.7937499999999997	-1.3		3.65	5.3
	-4.7	-0.3		3.3875	5.2
	-4.59375	-1.3		2.7249999999999996	4.3
	-4.7562500000000005	-2.7		3.4062499999999996	5
	-4.6937500000000005	-1		3.4437499999999996	8.5
	-5.137499999999999	-2.6		3.35625	2
	-4.8375	-6.3		3.3562499999999997	-0.7
	-4.700000000000001	-3.2		3.8499999999999996	6.5
	-4.41875	-1.5		4.90625	5.7
	-4.625	-0.9		5.11875	7.7
Jan.	-4.53125	1.2		3.0249999999999995	12.7
	-4.78125	-1.6		3.59375	9.5
	-4.368749999999999	-3.7		4.1625000000000005	2.3
	-3.724999999999999	-3.8		5.3374999999999995	-0.4
	-2.975	-6.5		5.7562500000000005	-1.9
	-4.1375	-8		3.85	-3.8
	-4.13125	-11.4		3.84375	-2.6
	-4.5062500000000005	-7.8		3.3625	0.7
	-5.174999999999999	-5.9		3.7	2.3
	-5.0874999999999995	-6.3		3.7062500000000003	4.4
	-4.38125	-1.6		3.825	4.5
	-4.6625	-1.4		4.3625	5.4
	-4.14375	-2.3		4.243749999999999	5
	-4.4625	-2.7		4.2124999999999995	5.5
	-4.1125	-1.1		4.84375	5.1
	-3.2000000000000006	-1.3		5.71875	4.1
	-2.85625	-1.1		6.199999999999999	4.5
	-3.1937500000000005	-1.3		4.69375	7.9
	-3.49375	-1.6		4.7749999999999995	5.3
	-3.5437499999999997	-1.4		4.5062500000000005	6.1
	-3.6437500000000003	0.3		5.124999999999999	11.3
	-3.65625	-2.6		5.0375000000000005	11.4
	-3.3749999999999996	-5.7		5.406249999999999	-1.7
	-4.1937500000000005	-6.2		3.4875000000000003	1.1
	-4.543749999999999	-5.6		4.012499999999999	3.3
	-4.08125	-3.4		4.6187499999999995	5.8
	-3.5125	-1.6		5.825	8.1
	-2.8062499999999995	-0.8		7.1625	10.3
	-2.1749999999999994	1		7.125000000000002	13.3
	-1.8124999999999996	3.9		8.1625	15.6
	-1.9375000000000002	5.2		8.025	17.7
Feb.	-2.8375	0.3		5.6812499999999995	9.1
	-2.69375	-2.8		6.45625	5.8
	-2.7	-1.6		6.2437499999999995	8.9
	-1.9625	-0.4		7.425	11.6
	-1.81875	0.8		8.793750000000001	14.1
	-1.575	3		8.143750000000002	19
	-1.1500000000000001	7.5		8.45625	22.2
	-1.64375	5		7.643750000000001	12.4
	-2.0625	1.3		9.212500000000002	7.1
	-0.41250000000000014	1.4		9.043750000000001	7.4
	-0.4875	0.1		10.168750000000001	12.2
	-0.4625	3.7		10.19375	6
	-0.018749999999999933	4.3		10.518749999999997	12.7
	1.225	2.5		10.48125	11.2
	-0.043749999999999956	3.2		8.600000000000001	6.3
	-1.2312500000000002	2.4		10.031250000000002	4.7
	-0.15624999999999997	2.9		11.0375	10.5
	0.9062499999999999	3		12.675	11.4
	0.8875000000000001	4.3		11.624999999999996	6.4
	0.7375	-0.8		10.90625	6.7
	0.9187499999999998	-0.7		11.7875	8.7
	1.65625	-0.4		13.08125	10.6
	1.4625	2.4		12.9875	10.6
	1.43125	1.1		13.537500000000003	14.1
	2.4687500000000004	5.4		14.5	15
	2.35	2.2		13.48125	12.4
	2.85625	2.4		14.35	15
	2.98125	6.3		14.918750000000001	13.5
Mar.	2.44375	3.3		14.824999999999996	11.6
	2.43125	4.1		15.168750000000003	13.1
	3.2187499999999996	4.2		14.5	14.9
	3.9124999999999996	3.8		14.84375	9.1
	3.60625	-0.3		15.3625	12.1
	3.8249999999999997	5		13.825000000000001	15.9
	2.6625000000000005	5.4		14.712500000000004	17.5
	3.9750000000000005	8.1		16.1875	15.8
	4.7	9		16.50625	18.6
	4.825	8		16.456249999999997	18.1
	4.3625	8		16.037499999999998	21.9
	4.581250000000001	12.2		17.13125	23.8
	5.5062500000000005	11.9		18.3125	22.8
	5.95	10.8		17.600000000000005	21.8
	5.06875	10.3		17.90625	21.9
	6.1375	10.9		18.1	18.6
	6.374999999999999	6.6		19.025	20
	6.374999999999999	9		18.543750000000003	22.1
	6.2125	9.6		18.7375	23.1
	6.150000000000001	11.6		17.693749999999998	24
	5.5062500000000005	6.6		17.318749999999998	17.8
	6.3125	9.9		17.599999999999998	22
	5.975	8.7		17.48125	19.8
	6.325	7.3		19.4	18.8
	7.40625	7.3		20.76875	19.2
	8.3125	10		21.40625	17.2
	8.681249999999999	10.6		21.124999999999996	22.5
	8.23125	12.5		20.012499999999996	24.9
	7.437500000000001	11.5		18.793750000000003	23.1
	7.3500000000000005	11.4		19.2875	23.1
	8.075	12		20.593750000000004	24.3
Apr.	8.675	13.2		22.15625	25.9
	9.21875	12.2		22.73125	20.1
	9.625	10.6		22.306250000000002	25.9
	9.99375	13.3		21.968749999999996	27.8
	9.368749999999999	12.3		22.08125	26.9
	9.79375	9.1		22.487500000000004	18.5
	10.024999999999999	9		20.075000000000003	21
	9.8125	8.5		20.543750000000003	16.3
	9.86875	10.8		21.46875	22.5
	10.5375	10.4		21.79375	24.6
	9.96875	11.8		22.275000000000002	24.7
	10.931249999999999	12.3		22.150000000000002	26.1
	10.40625	15.2		22.43125	23.8
	10.69375	11		23.181250000000002	19.6
	11.24375	10.2		24.793750000000003	21.7
	12.58125	9.9		25.968749999999996	22.4
	11.9125	11		25.700000000000006	26.2
	12.799999999999999	13.2		25.750000000000004	17.8
	12.66875	11.7		25.256249999999998	21.3
	12.88125	9.8		25.374999999999996	24.6
	12.9875	11.3		24.912500000000005	28.7
	13.050000000000002	15.4		25.093749999999996	29.3
	12.912500000000001	12.9		25.7375	20.2
	13.393749999999999	10.3		24.112500000000004	24.4
	12.568750000000001	12.1		23.9625	26.4
	11.95	12.7		23.981249999999996	29.8
	12.29375	17.6		24.8625	29.7
	13.556250000000002	16.5		26.6375	31.6
	14.043750000000001	17.4		26.73125	32.1
	13.775	17.5		27.337500000000006	31.3
May	14.643749999999999	15.9		26.96875	29
	14.18125	13.3		25.88125	28.8
	14.725	17.1		26.806250000000002	28.8
	15.337500000000002	17.6		28.625	18.9
	15.5375	17.5		28.66875	22.2
	16.01875	16.4		28	20
	15.61875	15		27.656250000000004	27.3
	16.1625	16.6		28.30624999999999	27.1
	15.51875	16.9		28.325000000000003	30.1
	15.93125	17.3		27.918750000000003	26.9
	15.624999999999998	18.9		28.35	21.8
	15.706249999999999	16.6		28.2	19.5
	16.625	16.7		28.4625	25.5
	16.8	18.4		28.918750000000003	29.7
	16.856249999999996	17.5		29.456249999999997	30.8
	17.806249999999995	18.2		29.618750000000006	32.8
	17.599999999999998	18.9		29.175	31.6
	17.374999999999996	19.5		29.724999999999998	31.8
	17.175000000000004	18		29.931250000000002	34.1
	17.66875	20.6		30.31875	33.9
	17.625	19.7		30.35000000000001	27.9
	17.7125	17.4		31.51875	30
	18.71875	18.2		30.53125	28.8
	18.625	15.3		31.093749999999996	26.9
	19.60625	16.5		31.499999999999996	30.3
	19.131249999999998	17.2		31.062500000000004	30.5
	19.05	16.3		29.275000000000002	29.7
	18.40625	17		30.6	31.5
	18.543750000000003	19.4		31.56875	34.4
	19.1	20.2		31.412499999999998	32.8
	18.84375	20.1		31.65	29.5
Jun.	19.79375	18.6		31.431249999999995	29.8
	19.606250000000003	17.2		31.099999999999998	31.9
	20.656250000000004	19.5		31.34375	34
	20.443749999999998	22.9		31.16875	33.3
	20.125	21.5		30.65	24.5
	20.049999999999997	19.3		31.725	30.9
	20.8	20.5		32.7375	31.4
	20.656250000000004	19.5		32.375	29.9
	21.10625	17.2		31.9375	30.8
	20.568750000000005	18.6		31.1375	32.9
	19.849999999999998	19		29.39375	31.6
	19.143749999999997	17.2		29.612499999999997	32.1
	20.08125	19.3		31.506249999999998	34.1
	21.162499999999998	21.6		31.406250000000004	34.7
	20.837500000000006	22.7		30.806249999999995	30.7
	21.356250000000003	21.4		31.512499999999992	32.8
	21.40625	21		31.3	30.1
	21.65625	21.7		31.51875	35.1
	21.200000000000003	22.5		30.918750000000003	30.2
	21.49375	20.4		31.681250000000002	32.8
	21.525	22.2		31.318749999999998	33.9
	21.674999999999994	20.1		30.73125	30.9
	21.4375	19.6		31.643749999999997	27.8
	21.6375	20.9		31.775	33.5
	22.05	22.3		31.387499999999996	34.6
	22.2	24.3		30.281250000000004	34.4
	21.637499999999996	24.3		32.26875	34.9
	22.256249999999998	23.9		31.4625	26.7
	22.312500000000004	24.4		31.631249999999998	25
	22.60625	23.7		32.337500000000006	31.9
Jul.	21.9375	23.6		30.718749999999996	26.8
	21.39375	23.5		30.35	32.3
	21.225	19.5		30.61875	25
	21.31875	19.5		30.51875	30.4
	21.7625	22.4		30.212500000000006	30.7
	22.05625	19.9		30.46875	30.3
	22.29375	21.1		31.868750000000002	33
	22.5375	22.8		32.45	32.4
	23.04375	20.9		30.781250000000004	32.9
	22.731250000000003	22.4		32.29375	31.1
	22.993749999999995	22.3		32.20625	31.5
	22.91875	21.9		32.125	32.7
	22.9125	23.6		31.187500000000004	32.3
	22.5125	24		30.825000000000006	30.6
	22.93125	22.9		30.7625	31.6
	23.037500000000005	23.9		31.38125000000001	31.9
	23.099999999999998	24.4		31.981250000000003	33.1
	23.5	24.5		31.393749999999997	33.4
	23.11875	25.2		30.943749999999998	34.3
	23.03125	24.4		32.0625	34.5
	23.14375	22.8		32.012499999999996	34.6
	23.381249999999998	22.2		31.881249999999998	32.8
	23	22.6		30.793750000000003	35
	22.4875	23.2		30.81875000000001	35
	22.481250000000003	19.6		31.225	30.7
	22.275000000000002	17.8		29.6875	31.7
	22.03125	21.5		30.900000000000002	28.7
	22.2625	22.8		31.193749999999998	25.3
	22.20625	21.9		30.875000000000007	24.6
	22.4	19.6		30.568750000000005	26.8
	21.887499999999996	18.9		30.46875	29.7
Aug.	21.856250000000003		20.4	30.393749999999997		30.3
	21.775000000000002		20.7	30.668750000000003		31.5
	21.125		20.9	30.425		32
	20.95		21.4	30.025000000000002		32.1
	21.487499999999997		22	29.656250000000004		30.2
	20.9625		20.2	29.199999999999996		29
	20.193749999999998		19.4	29.41875		31
	20.556250000000002		20.2	29.5625		32.2
	19.96875		20.8	28.91875		33.3
	19.375		19.5	28.937500000000004		28.8
	19.306250000000002		19.4	28.493750000000002		28.2
	18.818750000000005		18.7	28.599999999999998		27.7
	18.8625		18.6	26.59375		27.1
	18.70625		18.6	27.500000000000004		27.9
	18.8375		18.5	27.43125		27.3
	17.993750000000002		17.7	27.675000000000004		27.7
	17.775000000000002		18.1	28.20625		28.1
	18.6875		18.3	28.624999999999996		28.4
	18.731250000000003		18.2	28.206249999999997		27.7
	17.60625		17.1	27.35625		26.8
	17.525000000000002		17.7	27.1625		27.5
	17.51875		17.8	27.950000000000003		28.1
	17.65		18	27.8875		28.1
	17.4375		17.1	27.75625		26.7
	17.543750000000003		17.4	27.481250000000003		27.2
	17.675		17.5	27.256250000000005		27.5
	17.712500000000002		17.5	27.8625		27.6
	17.050000000000004		16.8	27.356249999999996		26.2
	17.59375		17.1	25.731250000000003		25.3
	17.11875		17	26.68125		26.7
	17.375		16.9	26.550000000000004		26.3
Sep.	17.081249999999997			25.943749999999998
	16.85			25.85
	16.29375			25.525000000000002
	16.4875			25.7375
	16.19375			24.587500000000002
	15.537500000000001			25.306250000000002
	14.775			26.2625
	15.049999999999999			25.1
	14.675			24.875000000000004
	14.8125			24.7
	14.775000000000002			24.299999999999997
	14.8875			24.387500000000003
	15.512500000000001			24.631249999999998
	15.25			23.8125
	14.274999999999999			24.34375
	13.78125			24.575
	13.831250000000002			23.81875
	13.881250000000001			23.299999999999997
	12.99375			22.981250000000003
	12.243749999999997			22.24375
	11.656249999999998			21.337499999999995
	11.65			21.068749999999998
	11.98125			20.83125
	11.9875			21.7375
	12.06875			21.862499999999997
	11.062499999999998			20.374999999999996
	10.774999999999999			20.74375000000001
	11.15			20.481249999999996
	11.00625			21.375
	10.993749999999999			21.087500000000002
Oct.	10.543750000000001			20.20625
	10.7125			20.54375
	10.10625			19.34375
	9.6625			19.693749999999998
	9.593750000000002			19.381249999999998
	9.325			18.36875
	9.65			19.34375
	9.900000000000002			19.924999999999997
	9.175			18.562500000000004
	7.9437500000000005			18.55625
	7.99375			17.818749999999998
	7.874999999999999			17.26875
	7.3812500000000005			18.162499999999998
	8.499999999999998			18.5625
	7.981250000000001			17.762500000000003
	8.024999999999999			18.012500000000003
	8.4375			18.23125
	8.156250000000002			17.043749999999996
	7.6125			17.587500000000002
	6.9437500000000005			16.5
	6.656249999999998			16.675000000000004
	6.76875			15.793750000000001
	6.612500000000001			15.268749999999999
	5.8875			15.049999999999999
	4.856250000000001			13.95
	5.01875			14.325
	4.4312499999999995			14.08125
	5.687500000000001			14.15625
	4.80625			14.237499999999999
	4.625			13.656250000000002
	4.5562499999999995			14.1375
Nov.	4.9437500000000005			13.956250000000002
	3.9875			13.031250000000002
	4.093750000000001			13.018749999999999
	2.98125			11.650000000000002
	3.475			12.249999999999998
	3.53125			12.649999999999999
	3.6000000000000005			12.70625
	3.41875			11.318750000000001
	1.85			9.3125
	-0.10000000000000007			8.312500000000002
	0.11875000000000008			9.375
	0.2812499999999999			8.64375
	0.5187499999999999			8.73125
	0.7625000000000001			9.006250000000001
	-0.2875			8.01875
	-1.2375			6.962499999999999
	-1.4312500000000001			7.012499999999998
	-1.23125			7.125
	-0.8812499999999999			7.6375
	-0.9499999999999997			7.393750000000001
	-1.0875			8.2
	-1.04375			7.0375000000000005
	-1.5500000000000005			7.1937500000000005
	-1.61875			7.150000000000001
	-1.3062500000000006			7.20625
	-1.4562499999999998			6.293749999999998
	-2.4062499999999996			5.012500000000001
	-2.9375000000000004			5.449999999999999
	-2.9562500000000003			5.5562499999999995
	-2.825			4.90625
Dec.	-2.837500000000001			3.93125
	-3.6			2.725
	-4.3999999999999995			3.6
	-3.78125			4.874999999999999
	-2.8937500000000003			5.4312499999999995
	-3.3625000000000007			4.693749999999999
	-2.9500000000000006			5.275000000000001
	-2.51875			5.106249999999999
	-3.30625			4.6625
	-4.45625			3.1437500000000003
	-4.20625			3.5999999999999996
	-4.3			3.65625
	-4.3875			3.89375
	-3.5125000000000006			4.84375
	-2.8875			5.29375
	-4.5874999999999995			3.91875
	-5.52			2.62

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

35°C

Highest Temp

2 Jul. 26

-11°C

Lowest Temp

21 Jan. 26

Seasonal Breakdown

Hottest MonthJuly31.3°C

Coldest MonthJanuary-3.21°C

Wettest MonthJuly9.33mm

Windiest MonthMay21.76km/h

Xintai 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 Xintai historically?

July is historically Xintai's hottest month, with average maximum temperatures around 31°C. During peak heatwave events, the highest recorded temperatures have reached 40°C on 2025-07-06.

2. What is the coldest month in Xintai historically?

January is Xintai's coldest month, with average minimum temperatures around -4°C. The all-time record low of -17°C was recorded on 2021-01-07.

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

Xintai's average annual rainfall is approximately 741.9mm, based on records spanning 17 years.

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

Xintai historically records approximately 115.7 rainy days per year. July has the highest number of rain days at an average of 20.8 days.

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

The all-time highest temperature recorded in Xintai is 40°C on 2025-07-06.

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

The all-time lowest temperature recorded in Xintai is -17°C on 2021-01-07.

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

Xintai experiences its strongest winds during April. The historic gust record of 43.6 kph was recorded on 2018-04-06.

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

Usually, Xintai's humidity peaks in August at around 78.8% and drops to its lowest in March at approximately 45.1%.

Recent Blogs On Weather

See all blogs

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

Xintai 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

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

Xintai 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

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