South Burlington Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

South Burlington Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-6.156250000000001	-10.8		-0.21250000000000008	-5.7
	-8.775000000000002	-14.5		-1.7124999999999997	-8.5
	-9.343749999999998	-12.1		-3.1250000000000004	-9
	-8.918749999999998	-12.8		-1.4375000000000004	-8.8
	-9.175	-15.5		-2.4875000000000003	-8.1
	-9.618750000000002	-8.1		-2.5812500000000003	-0.9
	-10.256249999999998	-2.3		-4.0687500000000005	0.2
	-10.875	-2.9		-3.6125000000000003	1.3
	-9.05	-1.3		-2.7624999999999997	4.2
	-9.3125	-1		-1.21875	3.8
	-7.78125	-3.5		-1.11875	1.5
	-6.5625	-6.8		0.18750000000000014	-1.4
	-8.7875	-2.6		-1.10625	1.3
	-10.74375	0.4		-3.037499999999999	2.6
Jan.	-10.831249999999997	-11.1		-4.18125	1.5
	-10.65	-11.7		-1.8500000000000003	-5.4
	-10.6375	-5.6		-2.8874999999999997	3.1
	-10.099999999999998	-3.3		-1.34375	-0.4
	-10.43125	-7.1		-1.85	-2.2
	-11.687500000000002	-12.5		-3.91875	-7.8
	-13.706249999999999	-11.9		-6.968749999999999	-5.2
	-14.031250000000002	-6.2		-5.262500000000001	-0.3
	-11.893749999999999	-12.6		-4.199999999999999	-6.4
	-12.44375	-20.4		-3.4875000000000003	-13.2
	-10.40625	-17.5		-2.6	-12
	-10.075	-12.1		-2.725	-9.1
	-8.58125	-15.4		-1.625	-9.5
	-10.69375	-15.4		-2.44375	-7.5
	-11.949999999999998	-12.6		-4.025	-7.5
	-12.662500000000001	-19.7		-4.80625	-13.2
	-12.743750000000002	-18.3		-3.7500000000000004	-11.6
	-11.26875	-15.3		-2.7375000000000003	-10.7
	-10.987499999999997	-13.5		-3.18125	-3.3
	-10.95	-18.8		-1.9437500000000003	-7.4
	-9.700000000000003	-8.5		-2.3562499999999997	-3.7
	-12.13125	-11		-2.4875000000000003	-6.8
	-11.906250000000002	-17		-2.5499999999999994	-4.1
	-9.774999999999999	-18.2		-2.3562499999999997	-5.4
	-9.8625	-21.8		-2.4937499999999995	-14.4
	-11.187499999999998	-16.7		-2.8375	-5.3
	-9.000000000000002	-12.7		-1.9062500000000004	-1.4
	-10.7625	-4.9		-2.76875	-2.9
	-12.331249999999999	-8.7		-2.6875	-5.1
	-12.524999999999999	-9.9		-3.6000000000000005	-1.5
	-11.8875	-7.9		-3.2875	0.6
Feb.	-11.193749999999998	-10.3		-1.29375	-1.7
	-9.06875	-5.2		-0.40000000000000013	1.1
	-10.149999999999999	-0.9		-2.38125	3.3
	-11.250000000000002	-4.3		-1.2937500000000002	-1.4
	-10.487499999999997	-7		-0.96875	0.1
	-9.79375	-3.7		-1.775	1.9
	-9.125	-2.1		0.1499999999999999	1.7
	-7.54375	-10.5		1.03125	2.4
	-6.99375	-6.3		2.41875	-2.6
	-7.037500000000001	-10.8		0.4374999999999999	-6
	-7.35625	-11.7		0.9750000000000002	0.6
	-9.612499999999999	-11.3		-1.5937499999999998	-1.7
	-8.525	-8.8		1.1375000000000002	3.1
	-7.75625	-0.6		0.7625	3.8
	-8.58125	-11.1		1.01875	-4.5
	-8.8375	-14.1		-0.9999999999999999	-5.5
	-9.968749999999998	-9.2		-1.31875	1.1
	-8.50625	-3		-1.075	5
	-8.28125	-4.1		0.1687500000000004	1
	-8.6375	-1.8		1.425	0.3
	-7.43125	0.9		0.6437499999999999	6.1
	-6.4312499999999995	2.1		1.5687499999999999	7.3
	-5.74375	1		3.0937499999999996	12.9
	-4.3062499999999995	3.6		5.575000000000001	13.9
	-2.3875000000000006	1.1		4.99375	7.9
	-5.6625	-3		2.65625	11
	-5.668749999999999	-4.2		2.975	0.4
	-4.2437499999999995	-1.5		4.03125	2.5
Mar.	-3.4375	-4		4.1625000000000005	2.7
	-4.743750000000001	0.8		3.5812500000000007	14.4
	-4.850000000000001	-7.3		4.5	14.9
	-4.949999999999998	-9.1		4.893750000000001	-2
	-4.63125	-2.5		4.15625	3.8
	-3.5562500000000004	-2.4		6.2125	4.4
	-2.7624999999999997	-2.7		6.499999999999999	2.7
	-4.2875000000000005	-0.7		4.01875	1.9
	-5.3375	-3.6		3.18125	1.5
	-4.0625	-3		3.65	5
	-4.5249999999999995	-3.1		4.981250000000001	5.5
	-4.6	2.6		4.581250000000001	13.6
	-4.518749999999999	-4.8		5.1000000000000005	3.9
	-2.4375000000000004	-8.5		4.81875	-3.3
	-1.7875000000000005	-5.1		5.6625000000000005	5
	-1.9312500000000001	2.2		5.225	14.3
	-1.1	4.5		7.931249999999999	12.5
	-1.7875	0.1		6.775	5.5
	-2.28125	-0.2		7.306249999999999	6.7
	-0.98125	3.3		9.024999999999999	16.5
	-1.5187500000000003	3.2		7.0874999999999995	12
	-1.275	3		6.293750000000001	10.4
	-0.7625	0.1		6.8875	4.3
	-0.5687500000000003	-2.5		8.34375	4.1
	-0.3375	-7.6		8.518749999999999	9.7
	-0.6874999999999999	0.3		8.668750000000001	18.7
	0.91875	7.8		10.475000000000001	24
	1.6937499999999996	2.1		11	9.4
	2	0.1		10.9625	15.7
	3.2062499999999994	6		13.29375	16.9
	2.9812499999999997	9.6		12.9375	21.2
Apr.	1.2062499999999998	6.2		12.18125	12.6
	2.0312500000000004	9		10.45625	24.1
	2.0187500000000003	8.9		10.79375	16.8
	0.8937499999999999	6.8		11.243750000000002	24.3
	2.71875	1.9		11.499999999999998	12.1
	1.8750000000000002	0.2		11.443749999999998	3.4
	2.375	-3.3		12.61875	11.8
	2.6249999999999996	2.6		12.875000000000002	15.4
	2.08125	4.3		11.175	16.2
	2.2	-0.6		12.9	13.4
	2.7562499999999996	0.5		12.73125	17.7
	3.1874999999999996	2.7		12.275000000000002	20.5
	2.625	4.8		11.65	25.2
	3.24375	10.6		13.91875	25.6
	3.5124999999999997	9		12.943750000000001	23.7
	2.65	5.6		12.60625	10.7
	3.7187500000000004	2.2		15.856250000000003	12.7
	6.812500000000001	5		16.599999999999998	10.9
	6.85	2.3		15.081249999999999	10.6
	6.856250000000002	4.5		15.975000000000003	22.8
	6.64375	13.1		15.568749999999998	28.7
	6.331250000000001	6.5		16.43125	9.8
	5.6	4.6		17.03125	12.4
	5.112500000000001	2.3		16.74375	12.8
	5.606249999999999	2.4		14.80625	18.3
	6.31875	7.2		16.456249999999997	20.1
	5.6000000000000005	3.9		15.75625	13.6
	5.65	2.1		17.7	15.2
	6.2250000000000005	4.6		17.837500000000002	13.7
	7.593749999999999	9.5		17.993750000000002	11
May	8.1125	9.9		18.525	16.8
	9.18125	9.6		19.39375	27.9
	8.29375	14.2		18.468749999999996	27.2
	7.312500000000001	11.9		19.2125	30.7
	7.81875	19.4		18.4125	31.3
	8.631250000000001	11.4		20.131249999999998	18.6
	9.475	6.9		21.593750000000004	17.4
	10.431249999999999	4.7		20.70625	21.5
	10.049999999999999	7.7		20.56875	25.2
	9.3625	10		20.45625	13.6
	9.46875	11.6		21.09375	18.5
	11.80625	11		22.268750000000004	29.9
	11.256249999999998	15.9		22.443749999999998	26.5
	11.124999999999998	12.2		22.168749999999992	17.7
	11.90625	9		22.2	20.5
	12.95625	7.6		24.056249999999995	15.6
	11.8125	6.3		22.787499999999998	18.5
	11.393749999999999	7.6		21.450000000000003	21.8
	10.962499999999999	8.4		21.662499999999998	25.6
	10.787500000000001	10.8		20.36875	30.4
	10.681249999999999	13.7		21.431249999999995	32.9
	11.524999999999999	14.9		21.756250000000005	31.1
	11.637500000000001	17.3		20.69375	27
	11.35625	12.8		22.31875	18
	12.2125	10.4		21.75	27.1
	12.181249999999999	12.9		21.60625	30.7
	11.39375	16.7		20.74375	32
	11.543750000000001	20.4		21.14375	32.9
	12.631250000000001	21.7		22.1125	35.8
	12.418750000000001	17.2		21.46875	31
	11.287500000000001	16.5		19.725	29.8
Jun.	10.95	14.5		21.86875	20.4
	11.8625	11.5		22.2125	25.6
	12.887499999999998	13.2		23.350000000000005	28.7
	13.606250000000001	17.4		24.781249999999996	25.6
	13.837499999999999	16		24.431249999999995	21.3
	13.7625	15.1		25.0375	22.1
	14.425	15.2		25.149999999999995	21.8
	14.63125	13.2		25.787500000000005	26.6
	15.318749999999998	15.6		25.1	26.7
	15.85	14		25.131249999999994	26.6
	15.168749999999998	15.3		24.462500000000002	26.9
	14.525000000000002	16.1		24.693749999999998	23.2
	14.65	14.7		25.056250000000002	28.1
	15.062500000000002	14.6		23.66875	31.1
	14.956249999999999	15.5		24.368749999999995	31.4
	15.375000000000002	15.8		24.887500000000003	32.3
	16.306250000000002	21.5		25.975	36.2
	16.29375	22.3		25.70625	36
	16.1875	23.7		25.69375	35.9
	15.3875	19.9		26.25	31.4
	16.18125	15.7		27.849999999999998	30.3
	17.675	15.9		27.793749999999996	31.4
	16.750000000000004	17.6		26.46875	31.2
	16.40625	15.7		26.043750000000003	33.3
	16.137500000000003	18.8		26.224999999999998	32.4
	16.49375	19.9		26.037500000000005	29.5
	16.76875	15.3		26.900000000000002	29.2
	16.88125	14		27.262500000000003	31
	17.08125	15.5		26.787499999999998	33.5
	17.50625	19.8		26.606250000000003	37.2
Jul.	17.150000000000002	21.8		27.50625	31.6
	17.525	16.7		28.424999999999997	28.4
	17.543750000000003	13.5		27.40625	28.2
	17.062500000000004	15.2		26.275	28.1
	16.943749999999998	14.5		27.287500000000005	24.9
	17.38125	13.5		27.60625	29.4
	17.11875	18.2		26.762500000000003	28.1
	16.05625	16.3		25.6	24.6
	16.68125	12.6		25.75	27.7
	16.6875	12.7		25.76875	30.3
	15.91875	14.2		24.968750000000004	32.2
	15.8625	16.4		26.037499999999998	32.4
	16.65	16.5		26.225	33.2
	16.975	18.2		26.9875	31.9
	16.8875	18.7		26.34375	28.3
	15.975000000000001	16.4		25.218750000000004	28
	15.743749999999999	16.9		25.6	29.5
	15.9875	17.3		25.83125	32.4
	16.15625	20.2		26.0625	30.6
	16.45	18		27.40625	30.7
	17.5625	14.8		26.568749999999998	31.8
	16.6875	16		26.306250000000002	32.9
	16.35625	19		26.39375	33.3
	16.462500000000002	19.2		24.993749999999995	33.9
	16.299999999999997	19.7		25.549999999999994	29.2
	16.31875	18.5		26.306250000000002	30.6
	16.5	17.7		26.15625	30.7
	16.9	16.9		26.38125000000001	29
	16.84375	15.9		26.512500000000003	28.5
	16.918749999999996	15.3		25.462500000000006	27.8
	15.78125	13.8		24.8375	26.5
Aug.	15.631249999999998	13.1		24.75625	21.7
	15.724999999999996	3.8		25.150000000000002	19.1
	15.931249999999999	18.8		25.6375	24.1
	15.76875	15.6		24.518749999999997	28.7
	15.775		16	25.54375		23.6
	15.21875		17.3	25.75		21.9
	15.425000000000002		15	25.23125		20.9
	15.968749999999998		14.3	24.181250000000002		25.5
	14.937499999999998		15.2	23.48125		22.2
	14.749999999999998		14.7	25.268750000000004		21.2
	15.9125		14.6	25.5875		22.2
	15.68125		15.5	24.849999999999998		20.8
	15.01875		14.6	24.162499999999998		24
	14.462499999999999		14	25.068750000000005		24.5
	15.212499999999999		14.7	24.775000000000002		23.8
	14.50625		14.3	24.25		24.7
	13.95		14.4	24.093749999999996		23.6
	14.425		14.2	23.89375		24.1
	15.187499999999998		14.7	24.868750000000002		24.2
	15.456249999999999		15	23.856249999999996		24.6
	14.274999999999997		14.7	24.731250000000003		24.9
	14.424999999999999		14.4	23.31875		23.1
	13.962499999999999		13.6	22.937499999999993		23.4
	13.712499999999999		13.7	23.4		23.5
	13.65625		13.5	22.768750000000004		22.4
	12.73125		12.4	22.006249999999998		21.8
	12.35		12	21.89375		21.5
	12.925		12.2	22.78125		22.6
	12.531249999999998		12.6	21.84375		22.3
	12.225		12.9	21.65		22
	12.268749999999999		12.1	21.637500000000003		20.9
Sep.	11.3875		10.8	20.94375		20
	11.293749999999998		11.2	19.631249999999998		20.3
	11.35625		11.4	21.89375		21.9
	11.78125		11.8	22.175		21.4
	11.65625			20.15625
	10.55			20.08125
	11.181250000000002			22.024999999999995
	11.081249999999999			20.668749999999996
	11.45			20.44375
	11.106249999999998			20.250000000000004
	11.10625			20.375
	11.350000000000001			20.6
	10.393749999999997			20.481249999999996
	11.84375			20.95
	10.85625			18.99375
	9.781249999999998			18.275000000000002
	8.925			16.793750000000003
	8.543750000000001			16.49375
	8.593750000000002			16.993750000000002
	9.28125			17.54375
	9.418750000000003			17.693749999999998
	9.674999999999999			17.837500000000002
	9.45			18.18125
	8.70625			16.812499999999996
	7.618749999999999			15.212499999999997
	7.1375			16.08125
	7.21875			15.899999999999999
	6.6000000000000005			16.10625
	7.231250000000001			14.88125
	7.7124999999999995			14.83125
Oct.	7.025			14.431249999999999
	7.000000000000001			14.137500000000001
	5.7125			12.21875
	5.043749999999999			11.71875
	5.037499999999999			14.3375
	6.9937499999999995			14.506249999999998
	6.15625			14.174999999999999
	6.062499999999999			14.175
	5.7124999999999995			11.9625
	5.63125			12.36875
	5.19375			11.862499999999999
	4.7625			10.575
	4.5625			10.856250000000001
	3.4749999999999996			10.9625
	3.2749999999999995			10.181250000000002
	3.068749999999999			9.7875
	3.7500000000000004			10.28125
	3.5125			10.25
	2.3125			10.44375
	2.19375			9.2
	1.45			7.86875
	2.13125			9.3625
	3.3187500000000005			10.749999999999998
	2.75625			9.318749999999998
	0.8375			7.375
	1.03125			8.9375
	1.03125			8.575000000000001
	0.34375000000000006			7.118750000000001
	0.7875			7.9875
	-0.55			6.46875
	-1.16875			5.262500000000001
Nov.	-0.9125000000000002			5.824999999999999
	-0.8812499999999999			5.718749999999999
	-0.81875			5.874999999999999
	-1.4687499999999998			5.343749999999999
	-1.45625			4.275
	-1.9375000000000004			4.575
	-2.9625			3.9562500000000003
	-2.6625000000000005			3.4375000000000004
	-2.3874999999999997			3.1125
	-2.1624999999999996			4.125
	-1.49375			4.843750000000001
	-1.26875			4.8
	-1.29375			3.8999999999999995
	-3.0875000000000004			2.46875
	-3.4437500000000005			2.26875
	-3.7500000000000004			3.2249999999999996
	-2.3874999999999997			2.84375
	-2.2125			3.4375
	-2.2687500000000003			3.3437499999999987
	-3.4875000000000003			1.6
	-2.68125			2.8000000000000003
	-2.1937499999999996			2.9562500000000007
	-5			-0.13125000000000003
	-5.8687499999999995			-0.7374999999999999
	-4.03125			1.2
	-4.79375			1.1125000000000003
	-4.46875			1.23125
	-5.137499999999998			1.2062499999999998
	-5.83125			1.1437500000000003
	-5.281249999999999			-0.08124999999999993
Dec.	-5.3374999999999995			0.79375
	-6.38125			-0.16874999999999996
	-6.424999999999999			-0.7249999999999998
	-6.093749999999999			0.2750000000000001
	-7.1812499999999995			-0.20625000000000013
	-7.575			-1.675
	-6.843750000000001			-0.5562499999999999
	-5.074999999999999			1.3375
	-5.5875			1.3562499999999997
	-7.2124999999999995			-1.5750000000000004
	-6.593750000000002			-0.5499999999999998
	-6.4625			-0.5187499999999999
	-7.00625			-1.275
	-6.4875			-0.13125
	-6.9125000000000005			-0.51875
	-7.1625			-0.5250000000000001
	-5.760000000000001			-0.4733333333333332

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

37°C

Highest Temp

14 Jul. 26

-22°C

Lowest Temp

8 Feb. 26

Seasonal Breakdown

Hottest MonthJuly30.82°C

Coldest MonthFebruary-9.94°C

Wettest MonthMarch5.5mm

Windiest MonthApril23.62km/h

South Burlington 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 South Burlington historically?

July is historically South Burlington's hottest month, with average maximum temperatures around 27°C. During peak heatwave events, the highest recorded temperatures have reached 37°C on 2026-07-14.

2. What is the coldest month in South Burlington historically?

January is South Burlington's coldest month, with average minimum temperatures around -10°C. The all-time record low of -29°C was recorded on 2011-01-24.

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

South Burlington's average annual rainfall is approximately 1146.8mm, based on records spanning 17 years.

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

South Burlington historically records approximately 205.1 rainy days per year. June has the highest number of rain days at an average of 17.5 days.

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

The all-time highest temperature recorded in South Burlington is 37°C on 2026-07-14.

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

The all-time lowest temperature recorded in South Burlington is -29°C on 2011-01-24.

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

South Burlington experiences its strongest winds during April. The historic gust record of 49.2 kph was recorded on 2022-12-23.

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

Usually, South Burlington's humidity peaks in February at around 84.9% and drops to its lowest in May at approximately 75.1%.

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Analyse hottest, coldest, windiest & wettest days