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

Dongta Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-8.368749999999999	-6.6		-0.05625000000000003	-2.9
	-8.2875	-7.6		-1.0062499999999999	-1.7
	-9.118749999999999	-4.4		-0.15625000000000006	-1.2
	-9.118750000000002	-9.5		-1.30625	-4.2
	-9.04375	-10		-1.3812500000000005	-6.5
	-9.962499999999999	-10.6		-2.175	-3.8
	-9.74375	-8		-1.7000000000000002	-3.3
	-10.21875	-8.6		-1.9937500000000001	-0.7
	-9.925	-7.8		-1.7062499999999996	-2.5
	-9.375	-10.5		-1.7499999999999993	-4.3
	-9.775000000000002	-9.2		-0.9624999999999999	0.4
	-8.84375	-4.6		-0.15625000000000025	2.3
	-9.818749999999998	-2.7		0.275	4.5
	-9.0625	-2.2		-1.5625	2.5
Jan.	-9.3	-1		-1.3812499999999999	5
	-9.26875	-4.4		-0.7375	-0.7
	-9.675	-3.5		-1.0937500000000002	4.9
	-8.206249999999999	-7.8		0.8812499999999999	-2.8
	-7.9	-10.7		0.1312500000000001	-8.1
	-8.8	-11.9		-1.06875	-7.6
	-9.212500000000002	-9.3		-0.8437499999999997	-3.6
	-10.25625	-8.2		-0.75625	-2.2
	-10.15625	-7.5		-1.375	0.1
	-10.037500000000001	-4.3		-1.3124999999999998	3.1
	-9.8375	-5.2		-0.48749999999999993	-0.7
	-9.368749999999999	-6.4		-0.8562500000000001	0.1
	-9.76875	-5.3		-1.05625	1.1
	-9.9625	-4.6		-1.3749999999999998	0.7
	-9.437500000000002	-3.4		-0.024999999999999994	0
	-9.037500000000001	-4.6		0.75625	0
	-8.725000000000001	-5.3		0.17500000000000016	-1.3
	-9.237499999999999	-4.8		-0.31249999999999983	0.3
	-9.00625	-5.1		-0.13125000000000003	2.4
	-8.093750000000002	-2.4		0.54375	2.3
	-8.299999999999999	-2.7		1.1812500000000004	4.8
	-7.306249999999999	-1.4		1.56875	2.9
	-7.74375	-6.6		0.90625	-1.6
	-8.675	-9.1		-0.27500000000000013	-2.1
	-8.3	-6.6		0.26874999999999993	2.4
	-7.6187499999999995	-2.9		1.5250000000000001	2.1
	-7.312499999999999	-4.7		1.975	0.3
	-6.98125	-3.7		2.3000000000000003	4.8
	-6.8125	-3.1		2.4562500000000003	5.6
	-6.768749999999999	-0.3		3.4312500000000004	11.2
	-7.224999999999999	-3.2		1.25	4.1
Feb.	-7.893750000000001	-6		2.4187499999999997	-2.1
	-7.09375	-4.7		2.8	0.3
	-6.237500000000002	-3.3		2.66875	2.4
	-6.09375	-1.7		2.4875000000000003	5
	-6.05	-0.2		3.4875000000000003	7.7
	-5.831250000000002	3.2		3.84375	14.8
	-5.00625	-0.6		4.012499999999999	7
	-5.70625	-2.8		4.687499999999999	4.5
	-4.33125	-0.6		6.4	5.1
	-3.79375	0.8		5.61875	11.6
	-3.5749999999999997	0.4		6.55	5.6
	-3.2375	-1.3		6.368750000000001	9.1
	-1.9937500000000001	0.6		7.2875000000000005	11.6
	-3.1375	3		5.1812499999999995	8.8
	-4.4	2.4		5.743750000000001	8.3
	-3.2875	1.3		6.33125	11.1
	-2.4625	-1.3		7.5	8.2
	-2.500000000000001	2.7		7.7	8.7
	-2.674999999999999	-0.9		7.0625	4.2
	-2.0250000000000004	-2.2		7.3	7.5
	-1.8687500000000004	0.2		8.625	9.7
	-2.1625	2.5		9.356250000000001	7.3
	-2.3312499999999994	-0.1		8.387500000000001	12.1
	-1.61875	3.6		9.7125	15
	-0.36250000000000004	2.1		10.118749999999999	12.5
	-0.9437500000000005	4.7		11.2375	14
	-0.08750000000000013	-0.8		11.937500000000002	5.9
	-0.09999999999999976	-2.3		10.61875	3.4
Mar.	-1.06875	-0.9		10.66875	4.4
	1.2375	0		12.19375	9.3
	1.54375	1.5		11.293749999999998	7.7
	1.3812499999999999	-3.3		13.26875	3.4
	1.6562499999999998	0.2		11.362499999999999	8.1
	-0.33125000000000004	0.8		11.124999999999998	12.3
	0.42499999999999993	3.5		11.63125	12.1
	0.96875	0.4		11.59375	9
	1.66875	1.5		11.95625	12.2
	1.7249999999999996	4.4		11.468750000000002	15.2
	0.9750000000000001	7		11.868749999999999	16.1
	0.9687500000000001	7.8		13.587499999999999	17.2
	1.7937500000000002	8.2		13.81875	15.9
	1.4375	4.7		14.10625	11.7
	3.7937500000000006	5.2		14.718750000000002	13.6
	4.025	5.5		14.856250000000001	14
	3.2687500000000003	4.5		14.525000000000004	14.3
	3.025	7		15.718750000000002	18.3
	3.54375	7.9		15.462499999999999	20.4
	3.73125	7.8		13.85	12.4
	3.1187500000000004	5.6		13.55625	19.1
	2.7125	6.5		14.162500000000001	17.5
	3.69375	6.6		14.437500000000002	19.4
	4.4437500000000005	9.6		16.50625	21.7
	4.862500000000001	10.4		17.2125	21.9
	5.5249999999999995	11.7		17.2875	18.9
	5.7437499999999995	8.1		16.38125	19
	4.1499999999999995	10.6		15.962500000000002	22.7
	3.6999999999999997	12.7		14.762500000000001	20.8
	4.4750000000000005	12.1		14.831249999999997	19.6
	5.0562499999999995	12.4		17.262499999999996	20.2
Apr.	7.05	9		18.20625	20.7
	6.593750000000001	9.9		18.45625	17.5
	7.187500000000001	10.6		19.8	21.9
	7.425000000000001	13.1		19.68125	24.6
	8.31875	6		19.5875	11
	7.74375	2.9		17.5375	14.5
	6.518749999999999	7.8		16.51875	14.5
	6.125	8.5		18.65625	18.8
	7.54375	10.8		19.5125	21.7
	6.724999999999999	13		19.049999999999997	22
	7.406250000000002	12.5		18.8625	25.8
	8.06875	14.2		19.412499999999998	22.3
	7.718749999999999	8.6		18.9	18.4
	7.6625	9.3		19.96875	15.6
	8.781249999999998	7		21.7875	18.7
	9.175	10.8		20.93125	22.2
	9.4375	9.7		21.406250000000004	15.2
	9.512500000000001	8.2		22.15	15.5
	10.16875	8.8		20.531249999999996	20.2
	9.7	12.1		21.237499999999997	25.4
	9.875	14.5		20.650000000000002	28.2
	8.956249999999999	12.7		21.224999999999998	18.6
	9.918749999999998	7.5		20.7125	18.9
	10.70625	12.7		20.575	24.8
	9.400000000000002	14.9		20	27.6
	9.237499999999999	15.8		20.299999999999997	29.2
	9.987499999999999	15.9		22.699999999999996	29.6
	9.35625	19.6		22.356250000000003	31.1
	10.1	17.8		22.468750000000004	25.9
	11.200000000000001	14.7		21.962500000000002	19.7
May	10.81875	14.1		22.9125	19.9
	10.837499999999999	14.8		23.75	23.6
	12.231250000000003	14.2		24.062500000000004	21.8
	12.825	15.1		25.65	24.9
	13.125	15		24.0625	24.2
	12.943749999999998	14.4		24.924999999999997	25.8
	13.24375	12		24.6375	20.2
	12.1	12.7		23.075	26
	11.58125	15.4		23.325000000000006	22.1
	12.5125	14.8		24.256249999999998	20.2
	13.45625	13.6		25.024999999999995	22.7
	12.856250000000001	17		23.443749999999998	23.8
	13.325	14.1		25.1625	21
	14.24375	14.2		25.656250000000004	21.6
	14.125	16.3		25.275000000000002	25
	13.399999999999999	17.9		25.781250000000004	28.7
	14.175	19.5		25.806250000000006	25.5
	14.887500000000001	17.6		27.1	28.9
	15.856250000000003	20.2		26.7875	31.7
	15.056249999999999	20.7		25.262500000000003	28.1
	14.88125	16		26.40625	26.5
	15.768749999999999	17.8		27.343750000000004	29.9
	16.54375	13.7		27.618750000000002	21.6
	16.325	14.9		26.65625	22.9
	15.15	16.4		26.237499999999997	27.4
	15.275000000000002	14.9		25.624999999999996	23.5
	14.9125	17.3		27.118750000000006	26.6
	16.18125	18		27.7375	29.4
	16.537499999999998	19.6		28.162499999999998	32
	16.88125	20.5		28.862500000000004	30.5
	17.456250000000004	21.6		28.85625	31.9
Jun.	16.525	20.8		27.824999999999992	31.5
	16.687499999999996	21.9		27.231250000000003	32.4
	17.125	23.3		27.556250000000002	32.6
	17.84375	19.8		27.9625	27.1
	17.812499999999996	18.5		28.41875	30.3
	18.16875	15.2		27.70625	24.2
	17.28125	18.7		27.462500000000002	25.2
	17.693749999999998	17.6		29.006249999999998	30.2
	18.062499999999996	20.6		29.443749999999998	30
	18.34375	20.8		28.125000000000004	30
	17.58125	21.2		28.312499999999996	27.3
	17.456249999999997	21.4		28.25	29.7
	18.2875	22.9		28.10625	33.3
	18.325	24.9		28.106250000000003	32.9
	18.24375	23.4		28.793749999999996	31.4
	18.093749999999996	22.1		28.868750000000002	31.9
	18.75625	22.6		29.10625	32
	18.25625	22.9		27.9375	32.4
	18.14375	21.2		29.068749999999998	34.1
	18.9625	23.3		29.68125	34.7
	18.73125	23.8		29.081250000000004	35
	18.487499999999997	21.7		29.731249999999996	31.9
	19.031250000000004	22.2		30.343749999999996	32.3
	18.618750000000002	22.8		28.2375	34.2
	18.750000000000004	24.2		27.1125	34.7
	18.499999999999996	19		30.1125	27.6
	19.893749999999997	17.2		29.86875	20
	19.0875	17.7		29.156249999999996	29.3
	18.9	21.5		30.193749999999998	32
	20.412499999999998	16.3		29.906250000000007	26.9
Jul.	19.943749999999998	18.4		29.69375	29.4
	19.2625	15.8		29.793749999999996	24.7
	20.012500000000003	16.4		30.200000000000003	31.8
	19.56875	17.6		30.18125	29.7
	19.71875	21.5		28.743750000000002	33.8
	19.6375	22.7		30.075000000000003	32.5
	19.5	21.7		29.987500000000004	31.9
	19.450000000000003	21.9		28.73125	35
	18.925	22		29.668749999999996	36.4
	19.16875	24.1		28.83125	34.7
	19.20625	23.9		29.46875	34.2
	20.074999999999996	21.1		30.3125	29.4
	20.362500000000004	20.9		30.056250000000002	25.3
	19.88125	19.8		29.950000000000003	28.7
	20.31875	20.8		30.675000000000004	30
	20.1125	21.7		31.456250000000004	30.3
	20.793749999999996	21.9		30.868750000000002	26.7
	20.13125	20.3		31.118750000000002	26.3
	20.83125	16		31.856250000000003	21.7
	20.150000000000002		15.7	29.925		28.1
	19.38125		19.5	29.543750000000003		31.2
	19.8		18	29.956249999999997		30.2
	19.39375		20	29.293750000000003		29.2
	19.875000000000004		21.6	29.19375		30.1
	19.493750000000002		22.1	27.812499999999996		30.9
	19.312500000000004		22.4	29.175000000000004		30.9
	19.818749999999998		22.4	29.356250000000003		31.5
	19.900000000000002		22.7	28.681250000000002		31
	19.4125		18.7	28.956250000000004		28.7
	19.343749999999996		19.1	28.225		28.8
	18.80625		19	28.843750000000004		28.7
Aug.	18.731250000000003		18.3	28.7		28.5
	18.0125		18.3	27.856249999999996		28.2
	18.231250000000003		18.1	27.356250000000006		26.7
	18.156250000000004		17.6	26.29375		26.1
	17.90625		17.4	26.675000000000004		27
	17.2		17.1	26.712499999999995		25.7
	17.21875		16.9	25.512499999999996		25.1
	16.574999999999996		16.7	25.51875		25.7
	16.362500000000004		16.4	25.175		24.4
	15.975000000000001		16	24.943749999999994		25.5
	15.974999999999998		15.5	25.743750000000002		24.7
	15.787500000000001		15.2	24.556250000000002		24.9
	15.16875		15.6	24.25625		24.7
	15.718749999999998		15.5	25.23125		25
	15.2375		15.3	25.737499999999994		25.5
	15.612499999999999		15.6	25.38125		24.8
	15.637500000000001		15.5	25.362499999999997		25.7
	16.20625		15.6	25.250000000000004		24.6
	15.143749999999999		14.9	23.768749999999997		24.5
	14.343750000000002			24.081250000000004
	14.968750000000002			24.10625
	14.231250000000001			23.593749999999996
	14.006250000000001			23.1125
	14.09375			23.487499999999997
	14.249999999999998			23.718750000000004
	14.0625			23.156249999999996
	13.643749999999999			23.262500000000003
	14.43125			23.3375
	13.78125			24.08125
	14.481250000000003			23.587500000000002
	13.306249999999999			21.85625
Sep.	13.337500000000002			21.61875
	13.399999999999999			21.1875
	13.28125			21.093749999999996
	13.31875			20.756249999999998
	12.85			21.193749999999998
	12.412500000000001			21.749999999999996
	11.518749999999997			20.856250000000003
	10.69375			19.456249999999997
	9.993750000000002			19.60625
	11.037499999999998			20.66875
	11.875			20.85625
	11.731250000000001			21.043750000000003
	11.95			20.993750000000002
	11.6625			20.3625
	10.81875			20.90625
	10.637500000000001			19.693749999999998
	9.674999999999999			18.96875
	9.456250000000002			18.7125
	9.181249999999999			18.812499999999996
	9.06875			18.33125
	7.99375			16.206249999999997
	8.5875			16.912499999999998
	8.618750000000002			17.76875
	7.712499999999999			16.4375
	6.5375000000000005			15.337499999999999
	6.4125			15.04375
	5.456250000000001			15.5375
	7.612499999999998			15.6875
	6.88125			15.36875
	6.206249999999999			15.325000000000001
Oct.	6.231249999999999			15.1125
	6.4937499999999995			16.225
	5.700000000000001			14.243749999999999
	5.99375			15.8125
	6.293750000000001			14.706250000000004
	6.131250000000001			15.08125
	6.481249999999999			15.7125
	5.45625			13.074999999999998
	4.331250000000001			13.856250000000001
	4.56875			13.756250000000001
	4.725			13.05625
	4.4875			12.668749999999998
	4.574999999999999			13.318750000000003
	3.50625			11.812499999999998
	3.875			12.5625
	3.60625			12.881250000000001
	3.5937500000000004			11.40625
	3.01875			11.581249999999997
	3.11875			12.03125
	2.44375			12.193750000000001
	2.7562500000000005			10.6625
	2.1750000000000003			10.575000000000001
	1.4750000000000003			10.0625
	0.8875			8.799999999999999
	0.9624999999999999			9.65625
	1.0375			9.25
	1.0125000000000002			8.13125
	-0.18124999999999994			7.8
	0.23125			7.8187500000000005
	-0.35624999999999984			7.89375
	-0.23750000000000004			8.025
Nov.	-0.8312499999999998			7.887499999999999
	-0.6			7.199999999999999
	-1.34375			6.781249999999999
	-1.075			7.375000000000001
	-0.9624999999999999			7.7875000000000005
	-1.4937499999999992			6.99375
	-1.8624999999999996			5.950000000000001
	-2.95625			5.49375
	-4.0875			2.8187500000000005
	-3.81875			3.7625
	-3.8687500000000004			4.69375
	-3.6875000000000004			4.28125
	-3.4749999999999996			4.00625
	-4.031249999999999			3.9125000000000005
	-5.00625			2.26875
	-5.631249999999999			1.6562499999999998
	-5.812499999999999			2.6625000000000005
	-5.2250000000000005			2.28125
	-5.793750000000001			1.7312500000000002
	-5.85			2.1750000000000003
	-5.549999999999999			2.275
	-6.056250000000001			1.3062500000000001
	-5.418750000000001			1.775
	-6.125			0.9187499999999998
	-5.91875			1.9062499999999998
	-6.71875			0.06250000000000011
	-7.41875			0.36875000000000013
	-7.106249999999999			1.3499999999999999
	-7.037500000000001			0.53125
	-7.781250000000002			-0.8187500000000003
Dec.	-9.406250000000002			-2.625
	-10.63125			-2.2937499999999997
	-9.85			-0.7687499999999998
	-8.13125			-0.65
	-8.425			-1.1375
	-8.393749999999999			-0.6000000000000001
	-7.962499999999999			-0.31875000000000003
	-8.837499999999999			-1.1562499999999998
	-9.41875			-1.7875000000000003
	-9.6625			-1.3625000000000003
	-8.412500000000001			-1.51875
	-9			-0.85625
	-8.775			-1.01875
	-9.206249999999999			-0.525
	-9.51875			-1.5875000000000001
	-10.662499999999998			-3.1062499999999997
	-10.453333333333335			-1.9733333333333334

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

36°C

Highest Temp

23 Jul. 26

-12°C

Lowest Temp

20 Jan. 26

Seasonal Breakdown

Hottest MonthJuly31.02°C

Coldest MonthJanuary-6.64°C

Wettest MonthJuly2.13mm

Windiest MonthMay31.32km/h

Dongta 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 Dongta historically?

July is historically Dongta's hottest month, with average maximum temperatures around 30°C. During peak heatwave events, the highest recorded temperatures have reached 38°C on 2021-07-14.

2. What is the coldest month in Dongta historically?

January is Dongta's coldest month, with average minimum temperatures around -9°C. The all-time record low of -23°C was recorded on 2011-01-06.

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

Dongta's average annual rainfall is approximately 377.2mm, based on records spanning 17 years.

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

Dongta historically records approximately 100.6 rainy days per year. August has the highest number of rain days at an average of 14.1 days.

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

The all-time highest temperature recorded in Dongta is 38°C on 2021-07-14.

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

The all-time lowest temperature recorded in Dongta is -23°C on 2011-01-06.

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

Dongta experiences its strongest winds during May. The historic gust record of 69.1 kph was recorded on 2025-11-26.

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

Usually, Dongta's humidity peaks in September at around 50.2% and drops to its lowest in May at approximately 30.3%.

Recent Blogs On Weather

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

Dongta Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

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

Dongta 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

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