Zhangjiakou Shi Xuanhua Qu Historic Weather Records
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Zhangjiakou Shi Xuanhua Qu Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-11.518749999999999	-9.3		-1.7	-4
	-11.250000000000004	-8.5		-2.8437500000000004	-1.4
	-10.912499999999998	-5.4		-2.1687499999999993	2.4
	-11.06875	-4.1		-2.85	0.3
	-11.568750000000001	-7.4		-3.2875000000000005	-1.2
	-11.712500000000002	-7.2		-3.0999999999999996	0.2
	-11.425000000000002	-8.3		-3.2125000000000004	-3
	-11.44375	-6.1		-4.1	-1.3
	-11.406249999999998	-6.1		-3.131249999999999	0.1
	-11.493750000000002	-12.9		-2.55	-6.4
	-11.2125	-13.5		-2.9437499999999996	-5.2
	-11.406249999999998	-6.7		-2.46875	1.3
	-10.806249999999999	-7.6		-1.84375	-1.4
	-11.281250000000004	-5.1		-2.53125	4.4
Jan.	-11.512500000000001	-2.5		-3.1562499999999996	4.3
	-11.275	-8.2		-2.7062500000000003	-1.1
	-10.850000000000001	-10.1		-1.325	-6.6
	-10.3375	-9.8		-0.60625	-6.7
	-9.899999999999999	-13.9		-1.8562499999999997	-9.2
	-11.187499999999998	-16.2		-2.60625	-9.9
	-11.187500000000002	-18.2		-3.3062500000000004	-7.3
	-12.06875	-15.5		-3.0687499999999996	-4.4
	-12.2875	-14		-2.8312500000000003	-4.1
	-11.587499999999999	-12.1		-2.19375	-1
	-11.049999999999999	-11.4		-1.7500000000000004	-3.7
	-11.049999999999999	-11.8		-1.9375000000000002	1.1
	-10.568750000000001	-11.3		-1.525	-1.4
	-10.65625	-10.8		-2.15	-1.3
	-10.45	-10.7		-0.6062500000000004	-1.8
	-10.162499999999998	-7.4		-0.9562500000000003	-0.6
	-10.262500000000001	-10		-0.9249999999999998	-1.3
	-10.931249999999999	-9.4		-1.4625000000000004	1.8
	-10.943749999999998	-9.9		-1.5687500000000003	0.8
	-10.637500000000003	-6.5		-1.03125	5.1
	-10.51875	-4.5		-0.7562500000000001	5.7
	-9.487499999999999	-9.1		-0.012500000000000039	-3.2
	-10.437499999999998	-11.6		-1.2874999999999996	-7.3
	-11.01875	-15		-2.75	-5.2
	-10.825	-13.9		-0.8	-0.1
	-9.731250000000001	-7.7		-0.06875000000000012	3.9
	-9.1125	-6.4		0.7375000000000002	2.1
	-7.86875	-8.1		1.2	4.9
	-7.73125	-4.3		1.9312500000000001	7.4
	-7.693750000000002	-2.6		2.86875	10.2
	-8.34375	-3.2		0.37500000000000006	5.2
Feb.	-9.124999999999998	-7.5		0.8562499999999997	-0.1
	-8.843750000000002	-11.2		0.7437499999999999	1.3
	-8.41875	-8.6		0.8625	5.6
	-7.3374999999999995	-5.7		2.6562500000000004	5.9
	-7.4624999999999995	-4.7		2.70625	8.9
	-7.1375	-1.8		2.2874999999999996	11.9
	-6.63125	-3.6		3.3812500000000005	14.1
	-6.53125	-7.7		3.01875	-0.9
	-6.04375	-8.7		4.050000000000001	2.2
	-4.9375	-8.1		4.81875	6.3
	-4.76875	-5.5		4.3999999999999995	6.9
	-4.25	-2.2		5.425	6.4
	-4.031249999999999	-6.1		5.0625	4.7
	-4.1000000000000005	-2.3		5.11875	2.5
	-5.1625	-3.8		3.9875	5.1
	-4.250000000000001	-1.5		6.656249999999999	4.2
	-3.0374999999999996	-5.3		7.29375	4.3
	-2.8562499999999997	-4.5		6.656249999999999	-0.7
	-3.3124999999999996	-9.9		6.05	0.8
	-3.825	-11.4		5.71875	0.2
	-3.6062499999999997	-7.7		6.85	6.2
	-3.38125	-4.5		7.675000000000001	8.9
	-3.875	-4.3		7.2625	6.7
	-2.956249999999999	-2.8		9.6375	12.6
	-1.7125000000000001	-3		8.5625	10.6
	-2.5625	-2		9	12.6
	-2.1875	-1.2		9.40625	7.7
	-1.725	1.2		9.575000000000003	7.9
Mar.	-2.10625	-2		9.743749999999999	10.5
	-0.925	-0.9		10.0625	10.9
	-0.18750000000000003	-0.5		10.55	12.3
	-0.48124999999999996	-3.7		10.89375	7.9
	0.056250000000000064	-3.5		11.875000000000002	11.4
	-0.8062500000000002	-0.6		9.431250000000002	12.2
	-0.4	-1.4		11.406250000000002	16.3
	-0.05624999999999997	3.5		11.625	14.8
	0.38750000000000007	3.1		11.24375	15.6
	0.30625	4.4		11.4875	18.7
	1.03125	6.1		12.25	20.1
	1.44375	7.4		14.424999999999999	20.7
	1.6124999999999996	6.5		13.831249999999999	16.8
	2.5124999999999997	5.2		12.968749999999998	18.7
	1.9125	8.5		12.98125	17.8
	2.1999999999999997	6		13.54375	13.4
	2.86875	5.9		14.512500000000001	17.9
	2.3875	1.4		14.4625	14.3
	2.38125	2.2		14.037499999999998	19.8
	2.01875	7.1		13.893749999999999	18.4
	2.375	1		14.093749999999998	19.7
	2.4625	3.3		13.84375	11.3
	2.0812500000000003	-1.8		14.53125	13.4
	2.4937500000000004	-4.1		16.35	14.3
	3.93125	1.4		16.925	19.3
	3.9624999999999995	7.6		16.3375	10.7
	4.51875	4.7		16.425	21.2
	4.1499999999999995	7.2		15.31875	24.8
	2.8	8.2		15.293750000000001	22
	4.2125	12.4		16.537499999999998	17.1
	4.4937499999999995	8.2		18.63125	21.1
Apr.	5.275	6.8		19.212500000000002	25
	6.1499999999999995	9.6		18.806249999999995	16.7
	5.7124999999999995	6.9		17.775000000000002	25.4
	6.6000000000000005	11.6		18.925	27.7
	6.925	3.4		18.55625	17.5
	6.956249999999999	2.5		18.849999999999998	18.3
	6.468749999999999	5.5		16.475	22
	5.775	9.2		17.493750000000002	22.2
	6.687500000000001	7		18.95625	24.9
	5.856249999999999	10.4		18.2125	25.4
	6.4875	11.5		19.01875	27.3
	6.4	11.6		19.06875	22.2
	6.94375	8.7		17.974999999999998	17
	7.350000000000001	7.2		19.593750000000004	17.5
	8.0875	4.9		21.118750000000002	20.5
	8.743749999999999	9.1		20.73125	26
	8.36875	12.7		22.35	25.1
	9.59375	7		22.7	19.2
	9.375	5		22.281250000000004	17.5
	9.80625	6.3		22.106249999999996	25.9
	9.9375	11.8		20.48125	29.8
	9.00625	12.1		21.19375	22.8
	9.525	8		22.049999999999997	18.7
	10.506250000000001	6.8		21.206250000000004	24.2
	9.9125	10.1		20.668750000000003	24
	9.7625	11.5		20.912499999999998	26.9
	10.018749999999999	12.6		21.28125	27.6
	9.968749999999998	13.5		22.431249999999995	33
	9.9375	18.4		23.2375	36.2
	11.03125	18.6		24.668750000000003	33.7
May	11.343750000000002	15.4		24.16875	30.5
	11.962499999999999	14.4		24.181250000000002	23
	12.55	14.5		25.087500000000002	23
	12.725000000000001	11.4		25.5	28.2
	13.306249999999999	13.3		25.325000000000003	26.8
	13.2625	15.3		24.974999999999998	22.8
	13.456249999999997	12.3		25.568749999999998	27.3
	13.0125	14.4		25.61875	22.4
	13.51875	11.6		26.993750000000002	29.2
	13.85	13.9		25.443749999999998	29.4
	13.018749999999997	15.3		25.88125	19.7
	14.025	12.1		24.65	25.9
	13.456249999999997	14.1		24.90625	29.9
	14.374999999999996	15.6		27.31875	26.6
	14.918750000000003	14.1		27.193749999999998	30
	14.7125	16.6		26.062499999999996	34.6
	14.625	17.6		26.818749999999998	32.3
	14.281250000000002	16		24.8125	35.4
	13.6875	19.1		25.756249999999998	34.8
	13.75	13.3		26.793749999999996	26.6
	14.793749999999998	11.3		25.9125	26
	15.4625	9.1		28.03125	23.8
	15.512500000000001	8.5		25.74375	17.3
	15.418750000000001	7.9		26.7125	24.2
	14.86875	11.7		26.54375	25.9
	15.40625	9.5		26.287499999999998	21.3
	15.343749999999998	10		26.424999999999997	23.3
	15.524999999999999	11		26.80625	27.3
	15.675	15.1		27.65625	31
	16.175	13.8		27.156250000000004	26
	16.275	12		28.1375	29.4
Jun.	16.74375	17		27.53125	27.7
	16.53125	15.4		26.95	28.3
	17.818749999999994	15		28.09375	28.6
	18.150000000000002	16.9		29.624999999999996	29.5
	17.675	18.4		28.61875	24.4
	17.712500000000002	12.1		30.031249999999996	23.6
	19.056250000000002	10.8		29.55625	25.6
	18.25	12.9		27.4625	28.4
	17.937500000000004	13.2		29.00625	26.3
	18.187500000000004	13.7		27.681250000000002	27.9
	18.1625	12.3		28.118750000000002	28.6
	18.049999999999997	17		28.806249999999995	30.3
	18.425	16.9		28.799999999999997	31.7
	18.64375	15.1		28.2375	29.7
	18.081249999999997	16.6		27.393749999999994	27.6
	18.443750000000005	16		28.812500000000004	27.1
	18.800000000000004	15.3		28.637500000000003	29.6
	18.856249999999996	16.7		28.856250000000003	32.3
	18.90625	18.5		28.10625	35
	18.725	18.1		29.724999999999998	33.4
	18.86875	16.9		28.343750000000004	29.5
	18.7	15.7		28.906250000000004	30.1
	18.112499999999997	15.7		28.66875	29.7
	18.88125	15.6		29.081250000000004	31.8
	19.0625	16.5		28.112499999999997	32.5
	18.70625	20.4		28.031250000000004	26.7
	19.093750000000004	21.8		28.693749999999998	24.6
	19.46875	19.9		28.581249999999994	31.2
	19.693750000000005		16.3	28.56875		29.9
	19.50625		16.5	28.9125		30.6
Jul.	19.374999999999996		16.4	27.65		30.9
	19.03125		17.7	28.018749999999997		31.1
	18.93125		16.3	27.275		32.6
	18.85		15.7	28.362500000000004		30.5
	19.4375		16.3	28.393749999999997		30.4
	19.918750000000003		16.7	28.85		32.8
	19.4625		17.5	28.4		27
	19.74375		16.9	27.425		26.1
	19.400000000000002		16.4	29.499999999999993		27.5
	20.2125		17.5	29.818749999999994		27.4
	20.5125		17.7	29.75		27.4
	20.28125		17.3	28.96875		27.4
	20.28125		17.2	28.500000000000004		26.5
	20.31875		17.1	28.725000000000005		27.4
	19.99375		17.4	28.74375		27.2
	19.831249999999997		17	28.98125		27.3
	20.087500000000002		17.5	28.262500000000003		27.1
	20.312500000000004		17.6	28.21875		27
	20.1125		17.3	28.30625		27.6
	20.168750000000003		16.9	30.012500000000003		27.9
	20.05		17.7	29.006249999999994		27.5
	20.10625		17.5	29.46875		27.1
	20.043750000000003		17.3	28.406250000000004		27.3
	19.674999999999997		17.3	28.243750000000006		26.4
	19.218750000000004		16	28.5		26.7
	19.5625		16.6	28.850000000000005		26.5
	19.38125		16.5	29.043750000000003		27.8
	19.1625		17.1	28.45		26.4
	19.424999999999997		16.8	28.468750000000004		27
	19.462500000000002			27.30625
	19.05			27.26875
Aug.	19.03125			28.10625
	18.775000000000002			28.124999999999996
	18.656250000000004			27.281249999999996
	18.200000000000003			26.012499999999992
	18.1375			25.9375
	18.04375			27.1375
	18.031249999999996			26.793750000000003
	17.45			25.98125
	16.66875			26.36875
	16.7375			25.206249999999997
	16.518749999999997			26.15625
	16.618750000000002			25.6
	15.78125			24.25
	15.79375			24.468750000000004
	15.643749999999999			25.537499999999998
	16.10625			25.6
	16.687499999999996			26.375000000000004
	16.0625			25.1125
	16.3			25.04375
	15.524999999999997			24.499999999999996
	14.987499999999999			24.575
	14.837499999999999			23.806250000000006
	14.549999999999997			24.55625
	15.012500000000001			25.156249999999996
	15.024999999999999			24.7
	14.95625			23.95625
	14.306249999999997			22.71875
	13.950000000000003			22.65625
	13.868750000000002			22.524999999999995
	14.450000000000001			24.212500000000002
	14.80625			23.19375
Sep.	13.424999999999999			22.349999999999998
	13.325000000000001			21.8
	13.106250000000003			22.10625
	12.56875			21.54375
	12.900000000000002			21.11875
	12.2			22.40625
	11.956250000000002			22.124999999999996
	11.38125			20.4875
	10.749999999999998			20.2375
	11.275			20.78125
	11.63125			21.73125
	12.350000000000001			21.2875
	11.812499999999998			21.025000000000002
	10.924999999999999			19.9125
	10.53125			19.587500000000002
	10.6375			19.275000000000002
	10.68125			19.01875
	9.975			18.51875
	9.212499999999999			19.03125
	8.581249999999999			18.506249999999998
	8.11875			17.28125
	8.012500000000001			17.287499999999998
	8.45			18.256250000000005
	7.9875			17.025000000000002
	7.63125			15.68125
	6.856249999999999			14.724999999999996
	6.293749999999999			16.08125
	6.731250000000002			15.45
	6.7375			16.23125
	6.79375			15.249999999999998
Oct.	6.1125			15.456249999999999
	6.04375			14.40625
	5.3375			13.9875
	5.1000000000000005			13.668750000000001
	4.90625			14.299999999999999
	4.662499999999999			13.5125
	5.0125			13.543750000000001
	4.40625			12.85625
	4.206249999999999			13.175
	3.4437499999999996			13.406249999999998
	4.3999999999999995			13.30625
	4.1499999999999995			12.431250000000002
	4.112500000000001			12.71875
	3.3687499999999995			11.625
	2.8375000000000004			11.45625
	3.2875			12.149999999999999
	2.725			11.59375
	2.6437500000000003			10.9625
	2.8687500000000004			11.14375
	2.60625			10.55625
	1.8375000000000004			10.931249999999999
	1.4124999999999996			9.599999999999998
	0.11875000000000002			8.65625
	-0.45000000000000007			6.8687499999999995
	-0.16250000000000014			7.1875
	-0.46875000000000006			7.749999999999999
	0.04375000000000001			7.181250000000001
	0.13749999999999996			7.2250000000000005
	-0.2374999999999997			6.9624999999999995
	-1.2499999999999998			5.987499999999999
	-1.1			6.125
Nov.	-1.2999999999999994			6.39375
	-1.6750000000000003			5.5
	-1.6875			5.74375
	-1.6500000000000004			5.237499999999999
	-1.6562499999999998			5.21875
	-1.6312499999999996			5.4624999999999995
	-1.9624999999999997			4.6
	-3.4000000000000004			3.30625
	-5.33125			2.2937499999999997
	-5.5687500000000005			1.6562500000000002
	-5.412500000000001			1.525
	-6.449999999999999			1.8125
	-5.887499999999999			0.8437499999999999
	-5.6937500000000005			1.69375
	-6.218750000000001			0.2
	-6.8187500000000005			0.06875000000000003
	-7.00625			0.21249999999999997
	-6.91875			0.3625
	-6.606250000000001			0.1687499999999999
	-6.618750000000001			0.78125
	-6.124999999999999			0.70625
	-7.006249999999999			0.024999999999999974
	-7.3812500000000005			-0.10000000000000005
	-7.218750000000002			-0.23125000000000007
	-7.1312500000000005			-0.34375
	-7.7875			-1.2624999999999997
	-7.80625			-1.7125
	-8.20625			-1.8875000000000002
	-8.54375			-1.66875
	-9.175			-2.9625000000000004
Dec.	-10.275			-3.36875
	-10			-3.7249999999999996
	-10.343749999999998			-2.4875
	-9.862499999999999			-1.8125
	-9.99375			-2.3062499999999995
	-9.5125			-1.7500000000000002
	-9.175			-1.6812500000000001
	-9.01875			-1.83125
	-10.51875			-3.0062499999999996
	-11.4125			-3.8374999999999995
	-11.093750000000004			-2.9937500000000004
	-10.843749999999998			-2.6312500000000005
	-10.54375			-2.65625
	-10.25625			-2.0624999999999996
	-10.231250000000001			-2.0062499999999996
	-11.6875			-4.1812499999999995
	-11.946666666666665			-3.7733333333333325

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

36°C

Highest Temp

13 May 26

-18°C

Lowest Temp

21 Jan. 26

Seasonal Breakdown

Hottest MonthJuly30.53°C

Coldest MonthJanuary-9.75°C

Wettest MonthJune6.68mm

Windiest MonthApril25.44km/h

Zhangjiakou Shi Xuanhua Qu 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 Zhangjiakou Shi Xuanhua Qu historically?

July is historically Zhangjiakou Shi Xuanhua Qu's hottest month, with average maximum temperatures around 29°C. During peak heatwave events, the highest recorded temperatures have reached 40°C on 2023-07-01.

2. What is the coldest month in Zhangjiakou Shi Xuanhua Qu historically?

January is Zhangjiakou Shi Xuanhua Qu's coldest month, with average minimum temperatures around -11°C. The all-time record low of -26°C was recorded on 2021-01-06.

3. What is the average annual rainfall in Zhangjiakou Shi Xuanhua Qu over the past 17 years?

Zhangjiakou Shi Xuanhua Qu's average annual rainfall is approximately 503.1mm, based on records spanning 17 years.

4. How many rainy days does Zhangjiakou Shi Xuanhua Qu experience on average per year?

Zhangjiakou Shi Xuanhua Qu historically records approximately 106 rainy days per year. July has the highest number of rain days at an average of 18.8 days.

5. What is the all-time highest temperature ever recorded in Zhangjiakou Shi Xuanhua Qu?

The all-time highest temperature recorded in Zhangjiakou Shi Xuanhua Qu is 40°C on 2023-07-01.

6. What is the all-time lowest temperature ever recorded in Zhangjiakou Shi Xuanhua Qu?

The all-time lowest temperature recorded in Zhangjiakou Shi Xuanhua Qu is -26°C on 2021-01-06.

7. What is the windiest time of year in Zhangjiakou Shi Xuanhua Qu historically?

Zhangjiakou Shi Xuanhua Qu experiences its strongest winds during May. The historic gust record of 59.2 kph was recorded on 2025-04-12.

8. What is the highest and lowest humidity in Zhangjiakou Shi Xuanhua Qu during a year?

Usually, Zhangjiakou Shi Xuanhua Qu's humidity peaks in August at around 69.1% and drops to its lowest in April at approximately 34.3%.

Recent Blogs On Weather

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Zhangjiakou Shi Xuanhua Qu Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Zhangjiakou Shi Xuanhua Qu Weather Trend Graph

Yearly Summary 2026

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Zhangjiakou Shi Xuanhua Qu Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Zhangjiakou Shi Xuanhua Qu 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

Zhangjiakou Shi Xuanhua Qu Historic Weather Records
Analyse hottest, coldest, windiest & wettest days