Pereslavl Zalesskiy Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Pereslavl Zalesskiy Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-7.137499999999999	-18.9		-2.6875000000000004	-10.7
	-7.33125	-19.3		-3.3374999999999995	-7.6
	-9.63125	-9		-4.78125	-2.2
	-11.1125	-11.8		-6.537499999999999	-2.8
	-12.062500000000002	-13.3		-6.593750000000001	-7.2
	-13.30625	-17.9		-8.831249999999999	-8
	-14.243749999999999	-8.5		-9.093750000000002	-6
	-12.8	-15.1		-7.737499999999999	-6.2
	-11.3625	-14.7		-6.90625	-10.6
	-10.53125	-13.9		-6.4375	-2.1
	-10.656250000000002	-20.4		-6.16875	-8.3
	-12.1625	-10.1		-6.6625000000000005	-2.5
	-11.41875	-17.8		-4.84375	-8.8
	-9.18125	-16.2		-4.2625	-5.8
Jan.	-8.5875	-17.9		-4.6375	-7.1
	-9.79375	-21.3		-5.6125	-10.3
	-10.118750000000002	-21.3		-5.86875	-10.4
	-11.43125	-15.9		-6.5687500000000005	-7.4
	-12.0875	-8.3		-7.03125	-3
	-12.6375	-12.1		-6.4437500000000005	-2.3
	-13.787499999999998	-21.7		-8.7875	-5.1
	-15.012500000000003	-18.1		-8.84375	-10.5
	-12.668750000000001	-25.2		-7.3625	-15.8
	-12.00625	-24.9		-6.90625	-14.3
	-13.256250000000001	-26.5		-7.63125	-14.3
	-12.381249999999998	-23.7		-7.46875	-13.6
	-11.36875	-11.4		-6.225	-6.2
	-11.962500000000002	-9.2		-6.699999999999999	-7.7
	-10.093750000000002	-13.5		-5.33125	-9.2
	-8.762500000000001	-22.6		-4.718750000000001	-12.5
	-8.837500000000002	-28.5		-3.9875000000000007	-16.6
	-8.00625	-23.5		-3.8249999999999993	-15.5
	-8.05625	-19.2		-3.4250000000000003	-13.4
	-7.6312500000000005	-22.1		-3.8062500000000004	-13.1
	-7.968749999999998	-23.6		-3.58125	-13.7
	-10.01875	-25.7		-5.6187499999999995	-12.1
	-12.175	-22.1		-6.8625	-10.3
	-13.299999999999999	-19.5		-6.843749999999999	-7.6
	-12.481250000000001	-22.3		-6.456249999999999	-11.8
	-10.500000000000002	-22.7		-4.6125	-11.2
	-10.10625	-12		-5.25	-8.1
	-9.681250000000002	-18.6		-5.1375	-7.2
	-9.50625	-7.5		-4.775	-0.7
	-10.60625	-1		-5.4125	1.1
	-10.275	0.3		-5.699999999999999	1.1
Feb.	-10.6	-18.8		-5.46875	-2.6
	-11.125000000000002	-19.1		-5.975	-11.8
	-10.3875	-21.6		-5.3812500000000005	-7
	-10.587499999999997	-25.8		-5.324999999999999	-7.7
	-10.687499999999998	-14.1		-5.156249999999999	-5.7
	-10.631250000000001	-9.9		-4.7562500000000005	-5.5
	-10.718750000000002	-11.8		-5.33125	-6
	-11.5625	-7.5		-5.60625	-1.6
	-10.675	-9.9		-4.881249999999999	-1.1
	-8.83125	-13		-2.7625000000000006	-2.9
	-8.237499999999999	-6.8		-1.75625	-1.8
	-7.65	-17.9		-1.7687499999999996	-4.6
	-8.350000000000001	-12.2		-1.98125	-0.8
	-8.475	-1.5		-1.8	1
	-7.981250000000001	0.3		-1.5437499999999997	0.7
	-7.824999999999999	0.2		-1.9812499999999997	1.1
	-6.587500000000002	-11		-0.8687499999999999	0.3
	-7.112500000000001	-16.7		-1.2812499999999998	0.2
	-6.425000000000001	-10.6		-1.6375000000000002	-0.2
	-8.44375	-20.8		-2.15	-2.8
	-8.14375	-8.9		-1.39375	0.7
	-8.0625	-14.6		-1.4375000000000004	0.4
	-7.0874999999999995	-13.5		-1.0250000000000001	0.7
	-8.8875	-0.3		-0.8187499999999999	1.1
	-8.162500000000001	-1.7		-0.47499999999999987	2.1
	-6.562500000000001	0.9		0.65	2.4
	-5.33125	0.4		0.8500000000000001	3.7
	-5.325	-2.3		2.25625	4.7
Mar.	-4.9125	-2		0.8624999999999998	3.8
	-6.400000000000001	-1.5		-0.5999999999999999	3.9
	-7.8125	-2.3		-0.7187500000000001	5.4
	-7.106250000000001	-2.8		0.525	4.2
	-5.437500000000001	-3.2		1.19375	3.9
	-5.2250000000000005	0.6		1.49375	4.2
	-5.075000000000001	-1.1		1.6625	5.6
	-5.025	-1.1		1.4874999999999996	7.5
	-5.3375	-0.7		1.6624999999999999	8.8
	-4.9625	-0.2		1.9625000000000001	8.3
	-5.149999999999999	1.1		1.9625	9.9
	-4.725	1.4		2.0687499999999996	8.7
	-5.187500000000002	0.4		2.24375	11.3
	-5.7562500000000005	3.1		2.7	10.7
	-5.25	3.9		3.3375	8.6
	-3.3124999999999996	3.7		3.75	9.5
	-2.6125000000000007	4.2		3.925	8.1
	-2.80625	4		3.725	10.8
	-2.0374999999999996	5.3		5.268750000000001	8.4
	-1.3312500000000003	4.2		5.3125	10
	-2.01875	2		6.30625	11.8
	-2.0312500000000004	2.8		5.231249999999998	6.3
	-1.05625	2.6		5.549999999999999	8.6
	-1.725	1.4		5.6187499999999995	3.4
	-1.2812499999999998	0.5		6.731249999999999	2.6
	0.3374999999999999	0.1		7.9	3.8
	0.22499999999999998	-2.7		8.968750000000002	5.3
	0.21875	1.1		8.45	7.6
	0.23124999999999987	2.4		8.231250000000001	6.7
	0.75	1.4		8.48125	10.1
	0.6000000000000001	2.3		8.41875	11.1
Apr.	1.19375	7.1		9.975	15.6
	1.3187499999999999	4.2		10.187499999999998	15.5
	1.84375	5.6		9.956249999999999	13.5
	2.06875	1.7		10.731250000000001	6.1
	1.8062500000000001	0.1		10.506249999999998	3.6
	1.81875	-0.7		10.599999999999998	4.8
	1.8875	-1		11.43125	7.9
	2.9937500000000004	-0.7		11.78125	10.2
	2.7249999999999996	1		12.106249999999998	3.7
	2.1625	-0.7		11.2875	6.1
	2.5999999999999996	-0.6		11.5125	7.1
	2.7437500000000004	3.7		11.631250000000003	7.9
	3.3125	-0.2		13.687499999999998	1
	3.75	-1.9		13.025	1.9
	3.70625	-2.2		13.44375	3.4
	3.83125	-3.1		13.53125	6.5
	4.2250000000000005	-1.1		13.418750000000003	8
	3.8625	1		14.262499999999998	13.4
	4.4125	5.9		14.3	19.2
	3.9124999999999996	8.7		13.518749999999999	22.3
	4.1812499999999995	11.4		14.068749999999998	22.1
	4.5874999999999995	9.1		13.93125	19
	4.768749999999998	7		14.831249999999999	23.9
	6.012499999999999	5.6		16.45625	13
	5.4	2.7		15.181249999999999	12.1
	5.4875	3.5		15.80625	12
	6.356249999999999	5.1		16.4375	11.5
	6.781250000000001	8		18.025000000000002	13.5
	7.593749999999999	9.7		17.575	19.8
	6.61875	11.3		16.675	21.9
May	6.9125	11.3		17.00625	21.3
	7.300000000000001	11.3		17.162499999999998	22.4
	7.9125000000000005	10.7		18.399999999999995	23.9
	8.862499999999999	14.5		18.525	26
	8.568749999999998	14.2		17.23125	26.3
	8.225000000000001	15.5		18.306250000000002	27
	7.9312499999999995	15.1		18.94375	26
	8.837499999999999	14.9		18.962500000000002	27.1
	8.65625	11.8		18.75	20.5
	8.90625	10.1		17.675	21.7
	8.549999999999999	10.3		18.887499999999996	17.9
	9.325	5.5		19.343750000000004	11.3
	10.012500000000001	4.2		18.824999999999996	12.1
	9.387500000000001	3		18.693749999999998	6.1
	10.199999999999998	4.1		20.30625	10.2
	10.9625	3.9		20.893750000000004	14.2
	10.5	5		19.775000000000002	16.7
	9.7375	7		18.90625	16.6
	9.44375	8.2		20.38125	17.3
	10.049999999999999	10.9		19.962500000000002	21.4
	10.00625	9.8		19.681250000000002	20.1
	9.775	9.7		19.556250000000002	20.2
	9.46875	8.4		19.606250000000003	20.6
	9.83125	10.2		20.474999999999998	23.3
	11.312499999999998	12.6		20.2375	24.9
	10.81875	13.6		20.6125	26.3
	10.2625	15.6		19.406249999999996	27.8
	10.118749999999999	15.6		20.35625	26.9
	11.318750000000001	16.1		20.893750000000004	27.3
	11.25	15.6		20.23125	26.5
	10.862500000000002	14		19.48125	18.9
Jun.	10.8375	13		19.699999999999996	22.5
	10.825	10		20.3625	12.6
	11.06875	9.8		20.743750000000002	16.7
	11.318750000000001	9.9		21.15	16.4
	12.062500000000002	11.6		21.456249999999997	20.4
	12.59375	9.5		22.500000000000004	18.6
	12.20625	8.1		21.499999999999996	22.5
	12.149999999999999	13.2		21.537499999999998	22.9
	12.124999999999998	10.7		21.88125	20.7
	12.04375	8.3		23.343749999999996	18.8
	12.531250000000002	8.8		22.737499999999997	16.6
	12.900000000000002	6.9		23.48125	18
	13.812500000000002	8.5		23.70625	18
	13.000000000000002	9.1		21.4625	21
	12.06875	10.7		21.83125	21.1
	12.487499999999999	9.7		22.006249999999998	24.8
	12.987500000000002	15.3		22.662499999999998	27
	12.968750000000002	13.1		23.599999999999998	26.7
	13.518749999999999	15.9		23.950000000000003	24.5
	14.175000000000002	15.5		24.2125	24.2
	13.93125	14		23.75625	22.1
	13.762500000000001	12		23.200000000000003	21.4
	13.568750000000001	10.9		23.750000000000007	18.3
	14.15625	12.3		23.46875	18
	14.168750000000003	14.7		24.299999999999997	22.6
	14.574999999999998	15.1		23.249999999999996	27.1
	13.675	16.6		23.54375	27.9
	13.618749999999997	15.1		23.70625	21.7
	13.96875		12.6	23.58125		22.8
	14.056249999999997		14.1	24.625000000000004		24.8
Jul.	14.312500000000002		14.2	24.400000000000002		23.3
	15.06875		10.3	25.125		17.9
	15.24375		7.3	24.343749999999996		21.7
	14.23125		10.1	23.256249999999998		24.7
	13.268749999999999		13.1	22.481250000000003		25.3
	14.287500000000001		12.5	22.381249999999998		24.8
	14.049999999999997		14	22.062500000000004		22
	13.368750000000002		13.1	22.843749999999996		22.8
	13.7125		13.5	23.143750000000004		22.8
	13.718749999999998		13.6	23.224999999999998		23.6
	13.331249999999997		13.3	24.031250000000004		24.1
	15.00625		15.1	25.656249999999996		25.8
	15.512500000000003		16	26.112500000000004		26.3
	16.23125		16	26.40625		26.3
	15.59375		15.5	24.99375		24.8
	15.03125		14.9	24.031250000000007		24.1
	14.7125		14.7	24.025000000000006		23.6
	14.1625		14.2	23.874999999999996		24.2
	14.63125		14.4	24.0875		23.5
	14.450000000000003		14	24.174999999999997		23.9
	13.987500000000002		14	23.706250000000004		23.8
	14.481249999999998		14.5	24.225		24.1
	14.531250000000004		14.4	24.925000000000004		24.6
	15.018750000000002		14.6	24.99375		24.9
	14.924999999999999		14.5	24.85		23.3
	14.30625		13.7	24.006249999999998		23.8
	14.11875		13.8	23.656250000000004		23.8
	13.60625		13.4	23.650000000000002		23.1
	13.46875		13.1	23.675		23.4
	13.343750000000002			23.437499999999993
	13.381250000000001			22.6875
Aug.	13.1625			22.924999999999997
	12.750000000000002			21.925
	12.350000000000001			21.96875
	13.13125			22.98125
	12.849999999999998			22.6125
	12.749999999999998			22.9375
	12.6625			21.98125
	11.6875			21.818749999999994
	11.525			21.256249999999998
	11.025000000000002			20.962499999999995
	10.987499999999999			20.075000000000003
	10.881250000000001			20.693749999999998
	11.4875			20.3125
	10.86875			20.912499999999998
	11.01875			19.325000000000003
	10.937500000000002			19.618750000000002
	10.712499999999999			20.08125
	10.45			18.743750000000002
	10.543750000000001			19.012500000000006
	9.33125			17.65
	8.899999999999999			17.175
	9.03125			16.406250000000004
	8.668750000000001			16.69375
	9.337499999999999			17.25
	8.6			16.712500000000002
	9.15625			17.337500000000002
	8.78125			16.89375
	8.956249999999999			18.04375
	9.6875			17.906250000000004
	9.1125			19.075000000000003
	9.450000000000001			17.19375
Sep.	8.76875			17.0375
	8.875			15.868749999999999
	7.68125			15.399999999999999
	7.699999999999999			16.39375
	7.5687500000000005			15.337500000000002
	7.525000000000001			14.71875
	7.412499999999999			15.543750000000003
	7.7875			15.16875
	7.15625			14.19375
	6.475			13.83125
	5.73125			13.025000000000002
	5.768749999999999			13.568750000000001
	6.012499999999999			13.06875
	5.800000000000001			12.668750000000001
	5.9375			12.068750000000001
	5.368749999999999			11.85625
	5.15625			11.41875
	4.70625			11.09375
	4.6			12.3
	5.106249999999999			12.312499999999998
	5.587500000000001			10.98125
	4.606249999999999			10.48125
	4.237499999999999			10.15625
	4.125			10.55
	3.9437499999999996			9.65625
	3.6750000000000003			9.29375
	3.73125			9.35625
	3.8062499999999995			9.4
	4.19375			9.00625
	3.45625			8.15625
Oct.	3.30625			8.075
	2.89375			7.54375
	2.49375			7.6499999999999995
	1.75			7.1875
	1.5812499999999996			6.593749999999999
	0.91875			5.818749999999999
	0.9312499999999998			5.8812500000000005
	0.7749999999999999			5.218750000000001
	0.7562499999999999			5.187500000000001
	0.5			5.0875
	-0.08750000000000019			4.581250000000001
	0.32499999999999996			4.65
	0.8374999999999999			4.9125
	0.8812500000000001			5.1125
	0.95625			4.875
	0.4062499999999999			5.3125
	-0.4187500000000002			3.83125
	-0.006250000000000033			4.625
	-0.14999999999999988			3.75
	0.525			4.2625
	0.975			5.006249999999999
	1.4374999999999998			5.59375
	1.16875			4.71875
	0.26874999999999993			4.356249999999999
	0.48124999999999984			4.00625
	0.30625			4.33125
	-0.006250000000000033			3.825
	-0.03749999999999998			3.8437499999999996
	-0.11875000000000009			3.1312499999999996
	-0.53125			2.70625
	-1.4375			1.4
Nov.	-2.6500000000000004			0.825
	-2.61875			0.5
	-2.51875			0.9624999999999999
	-2.4625			0.23125
	-2.474999999999999			0.26875
	-3.3562500000000006			0.175
	-3.8625000000000007			-0.8500000000000002
	-4.3062499999999995			-0.6625000000000002
	-5.50625			-1.3312499999999998
	-5.1			-1.7437500000000004
	-4.5625			-1.4687500000000002
	-4.8125			-1.6624999999999999
	-5.1000000000000005			-1.4500000000000002
	-5.3875			-1.6625
	-7.443750000000001			-2.8499999999999996
	-7.6937500000000005			-3.2937499999999993
	-8.293750000000001			-3.9500000000000006
	-7.86875			-3.724999999999999
	-7.8500000000000005			-3.0500000000000003
	-6.750000000000001			-2.0312499999999996
	-6.893750000000001			-2.4749999999999996
	-7.600000000000001			-2.9937499999999995
	-6.887500000000001			-3.2
	-8.5			-4.04375
	-6.975			-3.2375
	-6.168750000000002			-2.2125
	-7.08125			-2.4437499999999996
	-6.8999999999999995			-2.35
	-5.856249999999999			-2.9375
	-7.3812500000000005			-3.9750000000000005
Dec.	-8.581249999999999			-3.981250000000001
	-7.518750000000001			-3.8125000000000004
	-7.531250000000001			-3.1687499999999997
	-7.19375			-3.3875
	-6.75			-2.4625
	-7.55			-3.1500000000000004
	-8.175			-3.16875
	-7.174999999999999			-3.9437499999999996
	-7.26875			-3.4875000000000003
	-7.587500000000001			-3.6875
	-8.2			-4.46875
	-7.775			-3.04375
	-6.981249999999998			-2.9000000000000004
	-7.606249999999999			-4.06875
	-8.4			-4.8187500000000005
	-7.518750000000002			-3.4250000000000003
	-6.700000000000001			-2.2933333333333334

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

28°C

Highest Temp

11 Jul. 26

-28°C

Lowest Temp

31 Jan. 26

Seasonal Breakdown

Hottest MonthJuly23.46°C

Coldest MonthJanuary-17.06°C

Wettest MonthJuly6.91mm

Windiest MonthApril20.22km/h

Pereslavl Zalesskiy 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 Pereslavl Zalesskiy historically?

July is historically Pereslavl Zalesskiy's hottest month, with average maximum temperatures around 24°C. During peak heatwave events, the highest recorded temperatures have reached 38°C on 2010-08-06.

2. What is the coldest month in Pereslavl Zalesskiy historically?

January is Pereslavl Zalesskiy's coldest month, with average minimum temperatures around -11°C. The all-time record low of -33°C was recorded on 2024-01-04.

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

Pereslavl Zalesskiy's average annual rainfall is approximately 659.06mm, based on records spanning 17 years.

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

Pereslavl Zalesskiy historically records approximately 211.6 rainy days per year. July has the highest number of rain days at an average of 19.8 days.

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

The all-time highest temperature recorded in Pereslavl Zalesskiy is 38°C on 2010-08-06.

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

The all-time lowest temperature recorded in Pereslavl Zalesskiy is -33°C on 2024-01-04.

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

Pereslavl Zalesskiy experiences its strongest winds during December. The historic gust record of 42.8 kph was recorded on 2024-11-22.

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

Usually, Pereslavl Zalesskiy's humidity peaks in January at around 94.6% and drops to its lowest in May at approximately 73.3%.

Recent Blogs On Weather

See all blogs

Pereslavl Zalesskiy Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Pereslavl Zalesskiy 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

Pereslavl Zalesskiy Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Pereslavl Zalesskiy 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

Pereslavl Zalesskiy Historic Weather Records
Analyse hottest, coldest, windiest & wettest days