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

Anaconda Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-14.793750000000001	-10.4		-5.6125	3.1
	-13.325000000000001	-7.1		-4.237500000000001	5.9
	-11.28125	-8.5		-2.4937499999999995	2.8
	-11.075000000000001	-9.4		-2.35625	4.4
	-9.7125	-9.5		-1.61875	2.8
	-9.43125	-13.2		-1.4375	0.9
	-9.775	-8.5		-1.7499999999999996	1.8
	-9.96875	-18.9		-1.4749999999999999	-3.2
	-9.075	-16.6		-1.43125	-0.9
	-9.79375	-11.9		-1.8249999999999997	2.5
	-10.737499999999999	-14.3		-2.6562500000000004	4.1
	-10.899999999999999	-3.5		-2.2312499999999997	5.6
	-10.24375	-8.7		-1.9812500000000002	5
	-10.2375	-15.8		-1.675	0.7
Jan.	-11.09375	-17.3		-2.1750000000000003	-0.6
	-9.81875	-16.3		-1.1687500000000002	-1.7
	-9.0375	-19.1		-0.7624999999999998	1.8
	-7.425	-9.5		0.10000000000000003	-1.5
	-7.6000000000000005	-11.6		0.30625	-3.4
	-9.2375	-17.5		-0.9	2.4
	-9.0875	-19.8		-0.17500000000000007	-1.8
	-9.806250000000002	-19		-1.9437499999999999	-5.4
	-9.15	-19.6		-1.31875	-6.8
	-9.34375	-19.8		-1.1249999999999998	-7.6
	-8.69375	-16.7		-0.90625	-2.8
	-9.212499999999999	-19.9		-0.45	2.3
	-8.725000000000001	-16.2		-0.14999999999999994	2.4
	-9.88125	-13.8		-0.6499999999999998	1.4
	-8.48125	-18.4		-0.0875000000000001	0.8
	-9.175000000000002	-15.2		0.33124999999999993	3.3
	-9.3125	-15.2		-0.3375	4.5
	-9.1875	-12.2		-0.31875	6.6
	-9.25	-10.7		-0.2875000000000001	0.6
	-8.925	-8.7		-0.34999999999999987	6
	-7.5125	-10.4		0.11250000000000004	6.5
	-7.06875	-12.7		-0.15	10.3
	-7.65625	-12		-0.625	9.7
	-7.875000000000001	-9.2		-0.24375000000000005	3.3
	-8.55	-7.3		-0.7750000000000001	7.5
	-8.64375	-9.4		-0.8187500000000001	1.1
	-8.575	-12.3		-0.13750000000000018	4.1
	-9.575000000000001	-7.2		-0.47500000000000003	4.2
	-8.13125	-14		-0.2437500000000002	1
	-7.981249999999999	-11.4		1.275	2.4
	-6.79375	-8.8		1.4187499999999997	5.9
Feb.	-5.71875	-7.4		1.0562499999999997	6.7
	-7.3	-8.8		0.8562500000000001	6
	-8.056250000000002	-7.4		-0.10624999999999998	1.3
	-8.7625	-13.6		-0.45000000000000007	-0.2
	-9.40625	-15.7		-0.6124999999999999	-2.4
	-8.1	-19.5		-1.175	-0.9
	-10.500000000000002	-18.8		-1.5062499999999996	4.8
	-11	-11.6		-2.6500000000000004	9.7
	-11.075	-11.2		-2.05	7.5
	-9.46875	-6.6		-0.79375	5.8
	-8.93125	-11.4		-0.7250000000000001	1.2
	-8.99375	-13		-0.16875	7.5
	-9.06875	-11.3		0.5437500000000001	8.4
	-8.2875	-10.9		1.5187500000000003	7.4
	-7.049999999999999	-6.3		2.4125	6
	-7.056250000000001	-8		3.2624999999999993	8.1
	-6.93125	-11.4		2.1687499999999997	10.1
	-6.8187500000000005	-9.1		1.8875000000000002	8.4
	-6.825	-9.8		3.0062499999999996	2.3
	-5.3875	-12		2.90625	3
	-6.118750000000001	-10		3.175	8.1
	-5.73125	-6		2.5187500000000003	9.9
	-6.09375	-5.7		2.8812500000000005	3
	-5.0875	-11.1		4.03125	-0.5
	-5.125	-8.3		4.675	4.6
	-4.4624999999999995	-6		5.9125	7.6
	-3.1750000000000003	-5.7		5.168749999999998	8.6
	-2.3562499999999997	-12.7		5.493750000000001	5
Mar.	-2.4437499999999996	-15		5.5625	0.7
	-2.85625	-3		4.88125	10.5
	-3.5500000000000007	-7.8		5.300000000000001	14
	-3.6	-3.9		4.5875	18.3
	-3.631250000000001	-3.9		5.2875	18.9
	-3.06875	-2.9		4.925	18.9
	-3.225	-3.6		5.887499999999998	13
	-1.94375	-7.8		5.14375	11.3
	-3.0375000000000005	-2.2		5.4312499999999995	14.9
	-2.7937499999999997	-3.7		5.231249999999999	12.6
	-2.9124999999999996	-7.6		5.4125000000000005	13.1
	-2.0999999999999996	-10.7		6.05625	5.4
	-1.7562499999999999	-11.4		6.874999999999999	14.6
	-1.7625	0.8		6.83125	16.7
	-1.3875	-2.9		5.749999999999999	15.9
	-2.16875	-10.9		6.08125	4.3
	-2.11875	-10		6.73125	10.6
	-1.2062499999999998	3.5		6.868750000000001	16
	-2.3000000000000003	1.1		5.9937499999999995	7.4
	-2.8750000000000004	1.4		6.025	14.3
	-1.8375	-1.1		7.3	17.9
	-1.2	1.5		6.656250000000001	21.5
	-1.1437500000000003	3.8		6.5375	22.7
	-1.24375	6.4		8.21875	22.6
	-1.30625	4.2		8.33125	21.7
	-1.7312500000000004	3.3		8.05	22.3
	-1.2187500000000002	3.3		10.01875	23
	-0.0625	6.1		9.55625	17.1
	-0.6000000000000001	4		8.09375	15.3
	-1.7000000000000002	1.3		7.0875	13.2
	-2.1437500000000003	2.2		6.800000000000001	17
Apr.	-1.6562499999999998	3.3		7.612499999999999	14.7
	-1.5124999999999997	-2		7.91875	3.9
	-0.6187500000000001	-2		7.55625	9.2
	-0.8437499999999998	-4.2		9.162500000000001	19.4
	-0.525	0.3		9.1	24.1
	0.11249999999999995	5.4		9.587499999999999	26.8
	0.6812499999999999	7.2		10.500000000000002	26.7
	0.46249999999999997	5.1		10.06875	12.6
	0.7812500000000003	2.3		10.09375	11.2
	1.25625	-2.6		10.38125	7.8
	1.5375	-3.3		10.84375	11.4
	1.8875	-1.6		11.200000000000003	12.8
	1.4374999999999998	-1.8		11.2375	12.5
	0.3375	-1		9.993749999999999	14.9
	-0.12500000000000006	2.5		9.2625	16.6
	0.3375	1.5		10.362499999999999	19.7
	1.23125	1.7		11.25625	23.7
	1.7625000000000002	5.4		12.275000000000002	25.5
	2.3375000000000004	6.9		13.36875	25.5
	2.9312499999999995	7		13.350000000000001	24.8
	3.4000000000000004	5.6		14.187499999999998	19.9
	3.4499999999999997	2.4		13.981250000000001	23.3
	2.36875	11.1		11.65	25.5
	1.53125	7.1		12.112499999999999	26.3
	2.3875	6.9		13.06875	23.7
	2.65625	5.9		13.725	29.7
	3.41875	11.5		13.875	29.6
	3.9812499999999997	7.7		15.306250000000002	31.3
	4.775	10.1		15.16875	29.9
	4.89375	6.2		15.7	23.1
May	5.0625	5.8		16.493750000000002	21.5
	6.225	5.6		15.718750000000002	13.4
	5.481250000000001	-1.3		15.524999999999999	12.4
	5.15	0.4		14.556250000000002	15.6
	4.293749999999999	-0.2		14.518749999999999	18.9
	4.18125	-3.2		13.275	15.7
	4.3125	1.1		14.543750000000001	17.4
	4.6187499999999995	4.2		14.89375	23.8
	4.0875	6.7		13.8375	27.2
	4.175	8.4		13.237499999999999	29.7
	4.0875	8.3		15.724999999999998	30.6
	5.1125	12.9		15.693750000000001	25.2
	5.625	7.6		16.06875	29.7
	6.075	10.5		15.718749999999998	32.7
	5.593749999999999	10.5		17.09375	29.3
	7.075	11.2		17.931250000000002	18.7
	6.80625	2.4		19.4125	19.3
	7.4	3.7		18.068749999999998	22.6
	6.94375	6.3		18.537499999999998	26.9
	8.4875	8.6		19.356250000000003	29.1
	8.749999999999998	10.8		20.21875	26.8
	9.049999999999999	10.1		21.20625	30.8
	9.256249999999996	11.4		22.15	28.6
	9.20625	8.3		20.7625	16.8
	8.893749999999999	3.9		20.293750000000003	26.1
	9.231250000000001	10.2		21.143749999999997	21
	8.506249999999998	6.8		19.15	14.8
	7.831250000000001	5.1		19.099999999999998	26.2
	7.750000000000001	7		21.049999999999997	27.4
	8.231250000000001	8.4		20.043750000000003	25.8
	8.243749999999999	7.3		20.475	27
Jun.	8.206249999999999	9.5		19.60625	30.6
	7.5687500000000005	15.1		18.462500000000002	33.2
	7.6000000000000005	14.8		19.14375	27.3
	8.24375	8.6		18.93125	30.2
	7.76875	11.6		18.8125	33.5
	7.525	15.5		18.331250000000004	27.6
	7.6312500000000005	11.3		19.875	29.1
	9.437500000000002	11.4		21.099999999999998	29.1
	9.956249999999999	10.3		22.7	30.8
	11.3375	14.7		23.493750000000002	32.8
	11.15625	12.8		23.55	30.5
	11.631249999999998	15.5		24.3125	26.2
	12.037500000000003	10.7		24.45	18.1
	11.93125	6.6		24.699999999999992	11.7
	11.96875	5.7		24.356250000000003	14.7
	11.5375	8.6		24.349999999999998	22
	12.912499999999998	8		25.81875	23
	13.18125	7.7		26.000000000000004	26.5
	13.23125	11.2		24.956250000000004	28.1
	12.3625	11.9		25.7375	33.4
	12.649999999999999	9.8		25.856250000000006	34.7
	12.831249999999999	13.7		26.1	32.1
	13.350000000000001	10.9		26.48125	31.9
	13.475000000000001	13.4		26.837500000000002	33
	14.1375	14.3		27.44375	33.2
	14.099999999999998	12.5		27.54375	34.3
	14.0875	13.9		26.4125	37.8
	14.18125	14.7		27.04375	37.9
	14.6875	16		27.3625	36.1
	13.875	15.5		26.85625	32.7
Jul.	14.356250000000001	14.3		26.98125	33
	14.45	15.9		27.4375	36.7
	14.16875	19.3		27.475000000000005	36.6
	14.468750000000002	15.7		28.13125	36.7
	14.099999999999998	13.9		27.5	36.4
	14.431249999999999	16.3		28.162499999999998	35
	14.574999999999998	17.7		28.46875	35.9
	14.98125	16.6		28.6375	33
	15.3	15.8		28.599999999999998	34.3
	14.78125	15.8		28.1375	39.2
	14.675000000000002	16.3		28.4125	38.4
	15.143749999999999	15.7		28.018749999999997	36.9
	14.706249999999999	14.3		27.081249999999997	35.2
	14.268749999999999	15.1		27.39375	35.3
	14.725000000000001	15.2		27.931249999999995	34.9
	15.225	15.9		28.868750000000006	35.5
	15.200000000000001	13.3		29.20625	36.6
	15.318749999999998	15.9		28.70625	39.1
	14.768749999999999	16.4		27.731250000000003	33.6
	14.524999999999999	12.3		28.3375	26.7
	14.71875	9.4		26.38125	28.7
	13.562500000000002	10.1		26.000000000000004	31.9
	14.037500000000003	11.4		25.862499999999997	35.6
	13.906250000000002	13.2		26.575	35.3
	13.35625	14.4		25.906250000000004	35.8
	13.24375	14.3		26.05	33.5
	13.25625	13.1		26.643750000000004	35.3
	13.793750000000001	13.5		26.5125	34.5
	14.131250000000001	15.1		27.018749999999997	33.1
	13.906250000000004	15.6		26.962500000000002	31.3
	13.83125	13.1		26.675000000000004	25.9
Aug.	14.043749999999998	5.8		26.775000000000006	26.5
	13.775000000000002	4.6		27.45	28.3
	14.11875	11.5		27.393750000000004	30.8
	13.89375		14.3	27.087500000000002		31.5
	14.131249999999998		11.3	27.943749999999994		27.2
	14.093750000000002		13.1	26		31
	13.662499999999998		14.8	26.306250000000006		32.2
	12.70625		15	25.806249999999995		29.5
	12.337499999999999		12	25.3875		28.5
	12.274999999999999		13.2	25.881249999999998		28
	12.44375		13.4	25.275		28.8
	11.8875		12.5	24.774999999999995		25.5
	12.54375		13.1	24.0125		24.8
	12.587500000000002		12.4	25.018749999999997		25.1
	12.59375		12.8	25.75625		26
	12.4125		12.5	24.70625		24.8
	11.625000000000002		11.7	24.775		24.5
	12.393750000000002		12.4	24.9875		25.5
	12.049999999999999		12	25.90625		25.7
	11.525000000000002		11.7	25.199999999999996		24.8
	11.4875		11.4	23.931250000000002		24.1
	10.618750000000002		11.1	23.75625		24.4
	11.187499999999998		11.6	24.39375		24.3
	11.468750000000002		10.7	24.94375		24.6
	11.1875		10.7	23.556250000000002		22.9
	9.656249999999998		9.7	21.437499999999996		22.1
	9.1		9.6	22.2875		23
	9.256249999999998		9.2	23.06875		22.7
	10.1125		9.2	22.474999999999998		21.5
	10.2875		10.3	20.6625		21.9
	8.7375		9.6	21.300000000000004		21.7
Sep.	8.406250000000002		9	20.9125		21.5
	9.068749999999998		9.2	20.41875		20.7
	8.34375		8.7	20.60625		21.1
	8.5375			20.306250000000002
	8.125000000000002			18.75
	6.793749999999999			18.975
	6.931250000000001			19.200000000000003
	7.13125			18.612499999999997
	7.000000000000001			19.393749999999997
	7.51875			19.837500000000006
	8.450000000000001			20.637499999999996
	7.887499999999999			20.099999999999998
	6.793749999999999			19.7625
	6.5687500000000005			18.9375
	5.825000000000001			18.55625
	5.325			17.6
	5.0375			16.256249999999998
	5.8812500000000005			16.775
	5.08125			15.875
	3.0125			14.25
	2.4875			14.643749999999997
	3.2125			14.7375
	4.58125			15.631250000000003
	4.299999999999999			15.56875
	3.7375			15.83125
	3.65625			15.025
	2.30625			12.143750000000002
	0.49375000000000036			11.524999999999999
	1.4187499999999997			12.59375
	2.1687500000000006			12.893749999999999
Oct.	2.0875000000000004			13.581250000000002
	2.3312500000000003			14.200000000000001
	2.13125			14.2875
	2.08125			12.693749999999998
	2.3374999999999995			12.856250000000001
	2.2000000000000006			13.3375
	2.03125			13.1125
	2.6625			13.2125
	1.2999999999999998			10.10625
	0.08749999999999997			10.775
	0.050000000000000044			9.65625
	-1.9000000000000001			6.59375
	-2.11875			6.36875
	-2.23125			8.424999999999999
	-1.8250000000000002			7.887500000000001
	-2.55			7.51875
	-0.725			9.94375
	-1.05625			8.775
	-1.3812499999999999			7.662499999999999
	-1.15625			6.8625
	-1.6375000000000002			7.8375
	-2.1187499999999995			7.04375
	-2.5562500000000004			6.8687499999999995
	-3.475			6.250000000000001
	-3.3187499999999996			6.18125
	-3.4687499999999996			6.106249999999999
	-4.74375			4.456250000000001
	-6.70625			3.7124999999999995
	-5.8999999999999995			4.0562499999999995
	-4.9			4.1875
	-3.8000000000000003			5.000000000000001
Nov.	-5.09375			4.825
	-7.06875			3.0062499999999996
	-7.38125			2.175
	-7.05625			3.0562500000000004
	-6.58125			1.7749999999999997
	-8.137499999999998			1.7125000000000004
	-8.268749999999999			2.325
	-6.71875			3.8562499999999997
	-7.324999999999999			2.6624999999999996
	-8.568750000000001			1.225
	-9.05			1.3625
	-8.293750000000001			1.8062499999999997
	-7.7375			2.2499999999999996
	-8.3875			1.3375
	-9.15			-0.19374999999999987
	-9.887500000000001			-0.95625
	-8.81875			0.46249999999999986
	-7.6125			0.65
	-9.75			0.49374999999999974
	-9.575000000000001			-0.47500000000000014
	-10.675000000000002			-1.2499999999999998
	-10.15625			-0.3062499999999998
	-9.6375			-0.79375
	-9.76875			-0.6500000000000001
	-10.731250000000001			-0.6124999999999996
	-8.71875			-0.16875000000000007
	-8.09375			-0.06875000000000009
	-7.8374999999999995			-0.06250000000000006
	-7.949999999999999			-0.043749999999999845
	-8.81875			-0.8
Dec.	-9.64375			-1.1374999999999997
	-11.25			-2.7
	-11.962499999999999			-2.5125000000000006
	-10.28125			-1.2375000000000003
	-9.181249999999999			-0.5062500000000002
	-9.3625			-0.39999999999999963
	-8.293750000000001			-0.5437500000000002
	-9.749999999999998			-1.7187499999999998
	-10.09375			-1.3250000000000002
	-10.681250000000002			-2.2437499999999986
	-10.081250000000002			-2.1000000000000005
	-11.3875			-3.6937499999999996
	-10.987499999999999			-3.6937499999999988
	-9.831249999999999			-2.8375
	-10.43125			-2.8875
	-12.2			-3.0125000000000006
	-13.82			-4.98

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

39°C

Highest Temp

24 Jul. 26

-20°C

Lowest Temp

26 Jan. 26

Seasonal Breakdown

Hottest MonthJuly34.33°C

Coldest MonthJanuary-14.23°C

Wettest MonthJune1.12mm

Windiest MonthJune18.52km/h

Anaconda 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 Anaconda historically?

July is historically Anaconda's hottest month, with average maximum temperatures around 28°C. During peak heatwave events, the highest recorded temperatures have reached 39°C on 2026-07-24.

2. What is the coldest month in Anaconda historically?

January is Anaconda's coldest month, with average minimum temperatures around -10°C. The all-time record low of -31°C was recorded on 2013-12-05.

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

Anaconda's average annual rainfall is approximately 533.6mm, based on records spanning 17 years.

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

Anaconda historically records approximately 162.7 rainy days per year. June has the highest number of rain days at an average of 14.6 days.

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

The all-time highest temperature recorded in Anaconda is 39°C on 2026-07-24.

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

The all-time lowest temperature recorded in Anaconda is -31°C on 2013-12-05.

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

Anaconda experiences its strongest winds during July. The historic gust record of 39.2 kph was recorded on 2026-05-13.

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

Usually, Anaconda's humidity peaks in January at around 87.7% and drops to its lowest in July at approximately 41.9%.

Recent Blogs On Weather

See all blogs

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

Anaconda Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

London's July 2026 Heatwave: From 20°C to 34°C in Weeks

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

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

Anaconda Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

London's July 2026 Heatwave: From 20°C to 34°C in Weeks

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

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