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

Jingdezhen Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	1.725	4.6		12.093749999999998	8.2
	3.3562499999999997	0.6		12.825000000000001	9.3
	4.08125	-1.4		12.325000000000001	11.2
	4.06875	3.7		12.50625	8.7
	4.681250000000001	4.8		11.506250000000001	9.2
	4.4125	1.1		11.9	11
	3.3125	0.2		10.106250000000001	11.2
	2.6624999999999996	1.2		10.81875	12.5
	2.7812500000000004	1		10.893749999999999	13.3
	2.9437499999999996	3.5		10.762500000000001	15.7
	2.2687500000000007	2.2		10.1375	13.2
	2.2875	2.8		11.500000000000002	12.9
	3.1	3.7		12.3375	17.7
	3.1937500000000005	5.7		12.45625	21.4
Jan.	2.55	8.1		11.200000000000001	21.5
	2.9	8.8		11.325	22.1
	2.9875000000000003	12.2		11.993749999999999	19.7
	3.0375	9.5		11.89375	23.1
	3.4749999999999996	8.2		12.912500000000001	18.4
	4.1125	0.6		12.70625	7.7
	3.55	0.2		11.44375	6.9
	3.26875	-2		10.087499999999999	9
	2.475	-0.5		10.75	12.5
	2.2437500000000004	2.2		11.325	15.9
	3.29375	5.8		10.756249999999998	20.1
	2.50625	7.8		10.51875	11.6
	2.837500000000001	5.4		10.16875	11.1
	3.1812500000000004	5		10.6375	15.2
	3.656250000000001	3.6		11.24375	16.5
	3.4625	7.1		12.774999999999999	11.2
	4.43125	3.9		13.06875	5.6
	4.668750000000001	4.6		12.524999999999999	9.9
	4.575	2.2		11.762500000000001	14.9
	4.44375	2.8		11.55625	16.1
	4.5562499999999995	8.3		11.162500000000001	15.9
	3.5187500000000003	11.4		11.84375	15
	4.35625	5.2		11.825	12.2
	3.4875000000000003	3.7		11.168750000000001	8
	2.8437500000000004	-0.8		10.768749999999999	10
	2.975	-1.1		10.637500000000001	9.5
	2.6937499999999996	4.2		10.999999999999998	8.8
	3.35	1.4		11.712500000000002	15.1
	4.5	4		12.525	18.4
	4.425	8.9		13.30625	17.5
	5.1937500000000005	12.1		13.66875	20.4
Feb.	4.2375	10.8		12.64375	25.1
	4.7749999999999995	4.8		12.049999999999999	16.3
	4.8062499999999995	4.6		13.50625	8
	4.49375	6.3		13.618750000000002	15.8
	5.125000000000001	5.8		13.543750000000001	15.1
	5.2875	4.2		13.874999999999998	17.2
	4.85625	6.5		13.699999999999998	22.8
	5.48125	12.5		13.7625	24.1
	5.7375	10.1		13.756250000000003	24.4
	6.031249999999999	10.7		14.362499999999999	14.2
	7.175000000000002	10.5		14.9	16.8
	7.018750000000001	12.7		14.674999999999999	14.9
	6.90625	11		15.812500000000002	15.3
	8.068750000000001	10.3		16.44375	19.2
	7.4875	13.4		14.9625	17.1
	6.606250000000001	9.2		15.375000000000002	13.4
	6.50625	6.3		14.9625	16.9
	7.199999999999999	10.2		15.9625	16.9
	8.21875	8.5		15.287500000000001	16.9
	7.11875	7.2		14.812500000000002	17.6
	6.6125	6		15.493749999999997	17.7
	6.75625	10.1		15.443750000000001	16.7
	6.9	8.5		17.04375	16.6
	7.175000000000001	5.7		16.66875	18.2
	7.981249999999999	7.6		17.9375	20
	9.137500000000001	8.4		19.26875	18.4
	8.749999999999998	6.1		19.187499999999996	20.3
	10.143749999999999	8.1		19.48125	24.3
Mar.	9.7875	10.9		18.981250000000003	23.4
	9.90625	11.6		18.818749999999998	12.6
	9.843749999999998	12.1		19.16875	20.6
	10.987499999999999	11.2		18.725	14.4
	10.531249999999998	9.2		18.6375	12.2
	10.337500000000002	10.8		17.94375	14.7
	9.21875	10.7		18.331249999999997	18.1
	9.600000000000001	14		18.712500000000002	16.3
	10.025	14.3		18.90625	17.9
	9.69375	13.5		17.68125	15.7
	9.89375	11.1		19.081250000000004	21.1
	10.21875	15.1		20.61875	17.1
	10.406249999999998	14.6		21.287499999999998	20.5
	9.6375	12.7		20.837500000000002	19.7
	10.93125	15.2		20.037499999999998	22.3
	11.724999999999998	13.4		19.90625	20.2
	11.762500000000001	11		19.65625	15.7
	11.9875	9.9		21.049999999999997	19.6
	11.75625	11.1		22.6375	19.5
	12.55	14.3		21.725	15.8
	12.88125	13.1		21.150000000000002	20.8
	12.06875	13		20.968750000000004	23.9
	11.04375	16.9		20.193749999999998	21.6
	11.262500000000001	15.1		21.018750000000004	23.3
	11.618749999999999	14.4		21.925	22.8
	11.69375	17.2		23.200000000000003	29.7
	12.587499999999997	19.3		23.38125	26.8
	14.06875	19.3		23.09375	21.8
	13.3125	17.6		23.2125	22
	13.368749999999999	18.2		21.568749999999998	24.3
	13.0875	17.2		22.181250000000002	22.6
Apr.	12.818750000000001	16.1		22.9125	21.6
	13.981249999999998	17.7		23.625	20.8
	14.350000000000001	17.2		24.9875	26.3
	15.343750000000002	16.8		24.84375	26.8
	15.0875	14.9		23.912499999999998	28.2
	14.874999999999998	16.7		24.687500000000004	26.1
	15.0625	16		23.975	17.8
	14.518749999999999	12.1		22.549999999999997	16.3
	14.537500000000001	12.1		23.28125	16.1
	14.75625	12.6		23.24375	20.6
	15.125	12.6		23.41875	24.9
	15.075	13.9		24.05625	26.7
	15.231249999999998	16.3		24.543750000000006	29.8
	15.618749999999999	13.7		25.306250000000002	18.9
	15.331249999999999	9.1		25.312500000000004	13
	15.11875	7.2		25.525000000000002	20.8
	15.924999999999997	9.7		26.768749999999997	24
	16.018750000000004	14.6		26.356250000000003	24.9
	16.09375	14.5		26.90625	22.5
	16.31875	12.8		25.85	24.7
	16.424999999999997	13.2		26.825	26.3
	17.09375	14.7		25.781250000000004	27.7
	16.724999999999998	17.2		27.34375	23.4
	17.693749999999998	13.8		25.756249999999998	17
	17.731249999999996	13.2		26.331249999999997	20.4
	17.275	12.7		26.556250000000002	23.5
	16.481250000000003	16.2		25.2875	26.4
	16.650000000000002	16.5		26.56875	28.9
	16.86875	18.3		27.15625	24.7
	17.368750000000002	19.7		27.999999999999996	23
May	18.643750000000004	18.7		26.75625	26.5
	17.693749999999998	17.2		26.56875	29.4
	17.931250000000002	17.4		27.087499999999995	29.9
	18.56875	19.2		28.2625	29.3
	18.750000000000004	21		28.162500000000005	25.2
	19.13125	20.7		28.24375	23.1
	18.825	19.2		28.149999999999995	29.1
	18.4375	22.3		26.35	27.9
	17.775	22.3		26.4	29.8
	18.13125	22.5		27.400000000000002	29
	19.037499999999998	23.3		28.55	29.7
	19.63125	23.5		27.906250000000007	29.2
	19.28125	22.1		28.618750000000002	30
	18.912499999999998	22.7		28.031250000000004	31.9
	19.46875	20.6		28.725	30.2
	19.118750000000002	18.8		28.15625	26.9
	19.3875	19.8		28.2875	30.4
	19.9	20.7		27.556250000000002	31.8
	19.956250000000004	21.1		26.25625	31.5
	19.24375	22.8		27.706250000000004	30.4
	19.331250000000004	22.5		27.806250000000002	30.2
	19.55625	21.9		27.35	32.1
	19.7125	20.5		28.518750000000004	28.5
	20.512499999999996	19.6		29.587500000000006	32.2
	20.706249999999997	17.4		29.425000000000004	20.7
	21.343750000000004	16.4		29.3625	24.4
	21.5625	13.3		28.8125	29.4
	21.075	16.5		28.818749999999998	31
	20.95	18.4		29.043750000000003	23.5
	21.00625	17.5		28.487499999999997	19.3
	21.075	17.4		29.96875	29.6
Jun.	21.58125	19.3		30.293750000000003	30.8
	21.906250000000004	20.3		30.66875	31.4
	22.212500000000002	20.5		29.674999999999997	32.8
	22.412499999999998	22.3		29.7375	28.6
	22.66875	23.1		28.9125	24.9
	22.243750000000002	23.1		28.3375	29.2
	22.281249999999996	23.2		28.499999999999996	28.7
	22.249999999999996	22.8		28.9125	28.7
	22.374999999999996	22.4		29.01875	24.4
	22.575000000000003	21.2		29.48125	26
	22.287499999999994	21.8		28.6125	29.2
	22.756249999999998	21		29.375000000000004	31.5
	22.88125	21.7		29.531250000000007	31.2
	23.28125	20.1		29.6125	32.3
	23.456249999999997	22.7		29.65	26.8
	23.818749999999998	22.5		30.287499999999998	25
	23.787500000000005	23.4		31.2875	25
	24.218750000000004	22.9		31.950000000000003	26.4
	24.587500000000002	21.9		31.474999999999998	30.1
	24.1875	23.3		31.512500000000003	30.9
	24.525	23.1		31.35625	29.3
	24.531250000000004	23.1		31.79375	32.2
	24.6875	23.9		31.974999999999998	29.4
	24.318749999999998	22.7		31.825	31.5
	24.412500000000005	23		31.825000000000003	28.7
	24.55625	23.1		33.25	34.8
	24.98125	22.9		33.1125	36.2
	25.1625	24.6		33.075	26.1
	25.087499999999995	23.6		32.63125	29.3
	24.725	23.4		32.71875	34.7
Jul.	24.656249999999996	24.9		32.25	34.3
	24.75	25.2		32.525	33.9
	24.562500000000004	25.2		32.075	34.7
	24.59375	24.5		32.731249999999996	33.8
	24.91875	24		32.956250000000004	29.8
	25.14375	23.9		33.474999999999994	25.7
	25.224999999999998	23.5		33.56250000000001	26
	25.125000000000004	22.9		33.943749999999994	30
	25.53750000000001	23.7		34.425	30.8
	25.462500000000002	23.8		34.162499999999994	34.6
	25.599999999999998	24.6		35.056250000000006	36.7
	25.562500000000004	24.9		34.40625000000001	31
	25.69375	22.8		34.175	25.1
	25.4375	23.2		34.11249999999999	28.1
	25.66875	22.5		34.50625	31.6
	25.631249999999998	23.6		35.118750000000006	32.9
	25.631249999999994	23.2		34.70625	33.7
	25.556249999999995	23.2		35.318749999999994	34.9
	25.918749999999996	24.1		35.36875	33.7
	25.775000000000002	24.5		34.868750000000006	36
	25.699999999999996	25		35.1625	37.8
	26.06875	23.2		35.5625	37.1
	26.0125	24.4		35.368750000000006	37.4
	25.88125	24.3		35.3625	35.7
	25.75625	23.2		35.125	35.3
	25.750000000000004	23.1		34.7125	31.9
	25.66875	23.5		33.80625	26.2
	25.599999999999998	23.8		33.5625	29.3
	25.462500000000002		22.9	34.199999999999996		29.8
	25.374999999999996		22.8	32.99375		30.6
	25.30625		22.7	33.45625		25.8
Aug.	25.293749999999992		22.4	33.925		29
	25.3375		21.6	34.48125		30
	25.143749999999997		22	34.62500000000001		32.1
	24.949999999999996		22.6	35.056250000000006		32.3
	25.218749999999996		23.7	34.61249999999999		33.1
	25.3375		25.3	34.425		34.4
	25.181250000000002		25	34.38125		34.1
	24.975		24.8	33.58125		33.5
	24.79375		24.8	33.875		34.1
	24.650000000000002		24.7	33.56249999999999		33.8
	24.143749999999997		24.5	33.262499999999996		33.3
	24.393750000000004		24.4	32.993750000000006		32.8
	24.181250000000002		24	33.2875		32.9
	23.91875		23.7	33.01875		32.7
	23.331250000000004		23.3	32.418749999999996		33
	22.731250000000003		22.9	32.431250000000006		32.1
	22.85625		22.8	31.768750000000004		31.5
	23.031250000000004		22.9	32.01875		31.4
	23.05625		22.9	31.718750000000004		32.2
	23.25		23	32.15625		31.6
	22.5625		22.6	32.46875		32.4
	22.599999999999998		22.7	32.0625		32.4
	22.674999999999997		23	32.3125		32.5
	22.731250000000003		22.7	32.18749999999999		32.7
	22.487499999999994		22.6	33.206250000000004		33.2
	22.381249999999998		22.7	33.0125		32.6
	22.806250000000002		22.5	32.35625		31.5
	22.53125		22.3	31.66875		31.6
	22.562500000000004			31.162500000000005
	21.831250000000004			31.350000000000005
	21.881250000000005			30.225
Sep.	21.575000000000003			30.893750000000004
	21.456249999999997			31.431250000000002
	21.6125			31.462500000000002
	21.23125			31.1
	21.03125			30.58125
	20.306250000000002			28.962500000000006
	19.8375			28.875
	19.418750000000003			27.575
	19.35			27.693750000000005
	18.675			28.41875
	19.5			28
	19.756249999999998			29.15
	20.474999999999998			30.4375
	20.3625			29.781250000000004
	19.93125			29.287499999999994
	19.306250000000002			28.2625
	19.31875			28.712500000000002
	18.7625			29.062500000000004
	18.3625			29.1875
	17.712500000000002			28.3625
	17.375			27.424999999999997
	17.11875			26.8
	17.875			26.25625
	17.625			26.468750000000004
	17.36875			26.906249999999996
	16.793750000000003			27.337500000000002
	16.3875			26.9875
	16.06875			26.58125
	16.1375			25.681250000000002
	16.15625			25.031249999999996
Oct.	15.524999999999997			24.61875
	14.962499999999999			24.481250000000003
	15.499999999999998			24.568750000000005
	14.493749999999997			24.60625
	14.725000000000001			24.05
	14.143749999999999			23.112499999999997
	13.88125			24.0125
	14.44375			24.781250000000004
	14.124999999999998			24.000000000000004
	13.7375			23.675
	13.406249999999998			23.16875
	13.96875			23.0125
	14.024999999999999			22.768749999999997
	14.106250000000001			22.99375
	13.831249999999999			23.249999999999996
	13.368750000000004			22.275000000000002
	12.725			22.825
	12.73125			22.856249999999996
	12.774999999999997			22.13125
	12.818750000000001			22.36875
	12.743749999999999			22.750000000000004
	13.1625			22.749999999999996
	13.256250000000001			23.075
	12.59375			22.18125
	11.337500000000002			20.400000000000002
	11.325			20.018749999999997
	11.39375			19.825
	11.424999999999999			19.7125
	11.05625			19.85625
	10.7875			19.662499999999998
	10.793750000000001			20.33125
Nov.	10.981250000000001			20.8375
	12.137499999999998			20.14375
	11.712500000000002			19.54375
	9.618750000000002			18.174999999999997
	9.30625			19.20625
	9.75625			19.64375
	10.66875			19.218750000000004
	10.493749999999999			19.218749999999996
	9.79375			19.237500000000004
	7.7250000000000005			16.931250000000002
	7.087499999999999			16.21875
	7.6125			16.400000000000002
	7.299999999999999			16.3625
	8.024999999999999			17.03125
	7.9750000000000005			17.331250000000004
	6.69375			15.45
	6.431250000000001			14.056249999999999
	5.69375			14.362499999999997
	6.03125			15.331249999999999
	6.0375			15.1125
	5.643749999999999			15.393749999999999
	5.475000000000001			15.337500000000002
	5.3125			14.731250000000001
	4.975			14.918750000000003
	5.5062500000000005			14.637499999999998
	5.86875			14.731250000000001
	6.262499999999999			13.8875
	5.125			12.69375
	4.887499999999999			13.4375
	5.3500000000000005			14.462500000000002
Dec.	4.799999999999999			12.99375
	3.31875			10.85
	1.74375			10.20625
	1.6124999999999998			10.94375
	2.4			11.29375
	2.6624999999999996			11.712500000000002
	3.2312499999999997			12.7
	3.8687500000000004			12.6375
	3.16875			12.387500000000001
	3.4375			11.937499999999998
	2.6625000000000005			11.60625
	2.78125			12.1625
	3.7125			12.23125
	3.8562499999999993			11.250000000000002
	3.56875			12.456249999999999
	2.825			11.6625
	1.2933333333333332			11.046666666666665

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

38°C

Highest Temp

4 Aug. 26

-2°C

Lowest Temp

22 Jan. 26

Seasonal Breakdown

Hottest MonthAugust34.12°C

Coldest MonthJanuary3.86°C

Wettest MonthJuly13.04mm

Windiest MonthAugust12.45km/h

Jingdezhen 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 Jingdezhen historically?

August is historically Jingdezhen's hottest month, with average maximum temperatures around 34°C. During peak heatwave events, the highest recorded temperatures have reached 41°C on 2013-08-10.

2. What is the coldest month in Jingdezhen historically?

January is Jingdezhen's coldest month, with average minimum temperatures around 3°C. The all-time record low of -7°C was recorded on 2010-12-16.

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

Jingdezhen's average annual rainfall is approximately 2188.8mm, based on records spanning 17 years.

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

Jingdezhen historically records approximately 197.6 rainy days per year. June has the highest number of rain days at an average of 24 days.

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

The all-time highest temperature recorded in Jingdezhen is 41°C on 2013-08-10.

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

The all-time lowest temperature recorded in Jingdezhen is -7°C on 2010-12-16.

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

Jingdezhen experiences its strongest winds during July. The historic gust record of 30.6 kph was recorded on 2016-09-28.

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

Usually, Jingdezhen's humidity peaks in June at around 86.3% and drops to its lowest in December at approximately 65.7%.

Recent Blogs On Weather

See all blogs

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

Jingdezhen 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

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

Jingdezhen 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

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