Schwedt Oder Historic Weather Records
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Schwedt Oder Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.1125000000000003	0.3		5.5062500000000005	3.3
	0.35624999999999996	-1.2		4.675	2.3
	-0.32500000000000007	-4.7		3.8687500000000004	0.6
	-0.41875	-8.5		3.8125	-1.5
	-0.9874999999999999	-5.6		2.48125	-0.8
	-1.8687500000000001	-9.2		2.15	-2
	-1.61875	-9.5		2.575	-4.3
	-0.7125	-10.7		2.7375000000000007	-4.8
	-0.1625	-8.5		3.1499999999999995	-4.9
	-0.7125000000000001	-8.6		3.03125	-2.3
	-1.225	-8.6		2.3687500000000004	-2.7
	-0.7750000000000001	-10.3		2.7375000000000003	-2.8
	-0.30625000000000013	-2.7		3.1125	-0.3
	-0.73125	-0.3		3.0875	3.9
Jan.	-0.96875	-0.8		2.9812499999999997	2.7
	-0.48125000000000007	0.4		2.7187499999999996	4.8
	-1.4187500000000002	-1.8		2.7812500000000004	1.6
	-2.6874999999999996	-2.5		1.6562500000000002	1.9
	-2.33125	-2.7		1.3624999999999998	2.4
	-2.45625	-3.5		1.1375	2.7
	-2.8125000000000004	-2.9		0.6812500000000001	2.7
	-3	-5.5		0.7999999999999998	0.2
	-3.6125	-6		0.3062499999999995	-1.9
	-2.925	-2.8		1.0312499999999998	0.1
	-1.8937500000000007	-3.8		1.4875	0.5
	-2.7249999999999996	-0.1		0.9562500000000003	0.9
	-2.312500000000001	-3		2.9437500000000005	-0.1
	-1.1375000000000004	-3.4		3.1499999999999995	0.1
	-1.2312499999999997	-2.7		3.2125000000000004	-0.4
	-1.5062499999999999	-3.2		3.0875	0.1
	-1.8249999999999997	-7.4		2.3625000000000003	-2.8
	-1.3812499999999996	-9.6		3.0500000000000003	-5.5
	-1.3812499999999999	-10.5		2.7125	-6.2
	-0.9312499999999999	-9.6		3.10625	-4.5
	-1.3125000000000004	-7.9		3.1	-3
	-1.3562500000000002	-4.6		2.5687499999999996	0.4
	-1.95	0.2		2.63125	1.4
	-2.2875000000000005	-1.1		2.49375	0.8
	-2.3500000000000005	-1.7		2.3750000000000004	0.7
	-1.8375	-3.7		2.9625	0.3
	-2.15	-3.2		3.2000000000000006	3.3
	-2.1375	1.3		2.8000000000000003	3
	-2.3749999999999996	3.5		2.7312499999999997	8.4
	-1.78125	-0.6		3.3	6
	-1.7687500000000003	-2.7		3.6499999999999995	0.9
Feb.	-1.29375	-4.3		4.69375	0
	-0.29375	-4.7		5.59375	1.7
	-0.04375000000000007	-3		5.606249999999999	1.6
	0.16249999999999998	-4.7		5.212500000000001	0.1
	0.29999999999999993	-5.1		4.7749999999999995	1.3
	0.08750000000000008	-4.1		5.1312500000000005	0.5
	0.6562499999999998	-1.6		6.0562499999999995	5.7
	-0.02499999999999991	3.2		6.2875	9.3
	-0.27500000000000036	5.9		5.85	8.9
	-0.11875000000000002	3.9		6.20625	7.3
	0.03749999999999981	2.1		6.1625000000000005	8.3
	-0.23749999999999977	1.1		5.449999999999999	12.6
	-0.15000000000000002	7		6.262500000000001	15.6
	-0.18125	7.3		5.85	16.7
	-0.63125	4.2		6.0875	10
	-0.0874999999999999	2.2		6.237500000000001	12.4
	-0.30624999999999997	3.4		7.14375	13.5
	0.05625	1.2		7.1499999999999995	9.4
	-0.025000000000000036	0.8		6.95625	11.1
	-0.625	1.2		6.8374999999999995	13.3
	0.031249999999999917	3.3		6.74375	13.9
	-0.4249999999999998	5.8		7.0062500000000005	14.6
	-0.10624999999999996	3		7.956249999999999	15
	0.23750000000000004	4.7		7.95	14.7
	0.6812499999999999	6.5		7.45625	15.8
	1.0375	5.9		7.8	12.3
	1.5437499999999997	5.9		8.862499999999999	14.5
	1.0125	6.2		7.781249999999999	15.8
Mar.	1.09375	4.3		7.6	7.1
	0.59375	2		7.5875	7.1
	1.2249999999999999	-0.5		8.881250000000001	9.5
	1.0562500000000001	0.7		8.825000000000001	12.4
	0.8937499999999999	3.7		9.262500000000001	13.1
	1.3625	3.5		9.475	11.6
	2.09375	2.1		10.000000000000002	10.9
	2.2499999999999996	1.9		9.94375	12.8
	2.5687499999999996	3		9.86875	13.4
	0.96875	5.3		10.225	14.1
	1.6374999999999997	3.1		10.5875	11.1
	1.7875	0.7		9.675	8.2
	1.0375	-2.1		10.24375	9.1
	2.3562499999999997	-0.2		11.549999999999999	10.8
	3.9625	-0.4		11.799999999999999	9.6
	2.8625000000000003	2.1		11.375	7.1
	3.20625	1.1		11.46875	6.5
	2.6625	0.2		10.4625	11.9
	1.66875	1.9		10.793750000000001	12.1
	2.46875	3.7		11.799999999999999	10.9
	2.9875000000000003	4.4		11.799999999999999	13
	3.475	5.3		10.725000000000001	16.9
	2.8374999999999995	4.3		11.94375	12
	3.7875	2.4		13.325000000000001	11.4
	4.43125	0.3		13.037500000000001	11.6
	3.80625	-1.4		13.0375	10.3
	3.8375000000000004	-0.9		13.618749999999999	10
	4.5	-0.4		12.731250000000003	12.5
	4.18125	3.6		13.181249999999999	11.6
	5.4624999999999995	7.9		13.493749999999997	12.9
	4.64375	6.6		12.525	15.2
Apr.	4.075	2.8		13.312499999999998	15.2
	4.2875000000000005	7.3		13.14375	18.1
	4.425	7.5		13.968749999999998	16.9
	4.156249999999999	5.8		14.468749999999996	18.4
	3.85625	7.6		13.912499999999998	16.3
	4.4875	4		15.106249999999998	13.4
	4.831250000000001	0.5		15.2375	13.1
	4.9125	1		15.206249999999999	15.8
	5.4375	3.3		15.037500000000003	15.3
	5.250000000000001	3.7		15.54375	16.7
	5.425	4.3		15.4875	15.1
	5.23125	2.7		15.024999999999999	11.5
	4.768749999999999	1.8		14.1875	14.4
	5.525	1.3		16.5375	12.9
	6.8062499999999995	0.7		17.46875	12.7
	6.60625	2		17	17.2
	6.225	5.4		16.71875	20.9
	6.34375	8.3		15.718750000000002	24.4
	5.737500000000001	11.2		15.5375	26
	5.949999999999999	10.5		15.149999999999999	19.8
	6.062500000000001	9		15.475	16.6
	5.6937500000000005	5.9		15.45	9.7
	6.75625	4.8		16.05625	12.3
	6.1812499999999995	2.8		16.74375	12.2
	7.356249999999999	3.6		18.343749999999996	16.1
	8.54375	5.8		19.193749999999998	18.5
	8.899999999999999	7.6		19.443749999999998	18.4
	8.831249999999999	4		19.062499999999996	12.2
	7.4750000000000005	3		16.900000000000002	12.7
	7.83125	5.6		16.531249999999996	11.7
May	6.893749999999999	4.1		16.037499999999998	14.9
	7.33125	4.2		16.4375	14.9
	8.5875	3.9		17.38125	16.7
	7.925000000000001	5.9		17.700000000000003	16.6
	9.4125	4.9		19.381249999999998	18.2
	9.6375	9.8		20.11875	20
	10.2	9.2		20.73125	19.5
	9.818749999999998	9.4		20.462500000000002	20.4
	10.237499999999999	12.2		20.66875	25.2
	10.024999999999999	11.9		20.05625	23.4
	9.9875	10.1		18.19375	23.7
	9.5125	12.2		19.256249999999998	27.1
	9.4	8.8		19.44375	18.8
	9.26875	6.4		19.0875	19
	9.637500000000001	7.4		19.10625	24
	9.762500000000001	14.3		21.024999999999995	21.1
	10.53125	10.3		20.731249999999996	20.9
	10.931249999999999	9.9		19.80625	19.5
	10.70625	11.1		20.49375	23.4
	10.918749999999998	12.9		21.9	18.7
	11.106249999999998	10.5		22.04375	22
	11.443750000000001	12.2		23.537500000000005	19.4
	12.61875	10		23.3	22.9
	11.631249999999998	13		22.143750000000004	21.8
	11.899999999999999	10.4		22.750000000000004	22.3
	12.625	10.4		23.48125	19.9
	12.975	9.1		22.812500000000004	19.5
	12.268750000000002	9.4		23.18125	17.1
	12.112499999999999	7.8		21.675	18.2
	11.899999999999999	10.9		20.84375	19.9
	11.78125	10.4		21.28125	15.4
Jun.	11.624999999999998	11.4		22.06875	19.5
	11.437500000000002	7.7		21.1	20
	12.168749999999996	8.2		23.0125	22.7
	13.537499999999998	15.1		24.2	25.4
	13.468749999999998	15.8		23.7125	30.3
	13.20625	17.6		22.43125	30.6
	12.475000000000003	15.8		21.975	29.3
	12.78125	13.1		22.718749999999996	24.4
	12.887500000000001	10.2		21.85625	24.9
	12.55625	12.8		21.96875	28.9
	12.918750000000001	17		22.85625	30.8
	13.893749999999999	14.6		24.337500000000002	31.4
	13.15	18.6		23.425	35.9
	13.39375	20.5		24.5125	37.3
	14.093750000000002	17.5		25.0375	28.3
	13.649999999999999	15.6		23.531250000000004	27.3
	13.437500000000004	15.1		23.481249999999996	23.5
	13.78125	13.1		23.143750000000004	27.4
	13.337500000000002	13.6		24.03125	22.4
	13.693750000000001	12.2		23.99375	23.3
	14.625	12.7		24.50625	22.3
	13.700000000000001	9.3		23.612500000000004	19
	13.593749999999998	13.7		23.5	21.4
	13.475000000000001	10.4		23.34375	22.6
	13.7125	10.5		23.793750000000006	24.7
	14.4	11.7		23.3875	25.3
	14.237499999999997	11.5		24.775000000000002	25.4
	14.775	14.7		23.5125	28.4
	14.631250000000001	14.6		23.449999999999996	28.2
	14.1375	13.5		23.075	25.9
Jul.	14.137499999999998	10.8		23.106249999999996	26.7
	14.0875	14.9		23.68125	29.2
	14.181249999999999	17.7		23.800000000000004	29.7
	14.33125	15.8		23.868750000000002	25.9
	14.218749999999998	11.3		24.7375	23.8
	15.1125	11		25.718750000000004	18.1
	15.1125	10.3		24.718750000000004	23.3
	14.893749999999999	10.6		24.268749999999997	19.7
	14.64375	12.7		23.45625	23.1
	14.168749999999998	11.4		24.51875	24.3
	15.606250000000001	12.7		25.18125	27.9
	14.99375	15.8		25.0125	25.2
	15.606249999999998	14.1		25.04375	22.8
	15.668750000000003	10.3		25.1375	24.1
	15.706250000000002	15.4		24.224999999999998	28.9
	15.0625	17.6		23.76875	36.9
	14.80625		18	23.606250000000003		30.2
	14.95625		13.9	24.681250000000006		24.2
	14.775000000000002		12	25.3		26.1
	15.93125		14.1	25.725		30.2
	15.86875		17	24.731249999999996		33.6
	15.212499999999999		15.5	23.7375		25.3
	14.812500000000002		13.8	24.41875		27.5
	14.93125		18	25.125		28.7
	15.599999999999998		16.1	25.325		25.5
	15.493749999999999		15.2	25.050000000000004		24.6
	14.637499999999998		14.3	23.90625		23.8
	14.387500000000001		14.4	23.95625		23.9
	14.318750000000001		14.2	23.793750000000003		23.8
	14.4125		14.9	24.925		25.5
	15.056250000000002		15	25.43125		24.8
Aug.	15.562499999999998		15.3	25.625		25.7
	15.287500000000003		15.4	24.718750000000004		25.1
	14.8125		14.9	24.881249999999998		24.8
	15.68125		15.7	24.743750000000006		24.5
	15.262499999999998		14.9	24.05		24.7
	13.918749999999998		14.4	23.518750000000004		24.3
	13.768749999999999		13.9	24.143749999999997		23.7
	14.125		13.9	24.1125		23.5
	14.193750000000003		14.2	23.56875		23.6
	13.999999999999998		13.8	23.99375		24
	14.343749999999998		14.2	23.6		23.9
	13.800000000000002		14.3	23.462500000000002		23.7
	14.225		14.3	23.23125		23.3
	13.73125		14	22.724999999999998		23.7
	13.431250000000002		13.9	22.818749999999998		22.5
	14.15		13.7	22.6125		21.8
	13.981250000000001			22.7625
	12.55625			21.375
	11.825			20.787499999999998
	12.35			21.768749999999997
	12.95625			22.787499999999998
	13.125			22.48125
	12.66875			21.706249999999997
	12.44375			21.443749999999998
	12.231249999999998			21.212500000000002
	12.81875			21.606250000000003
	13.0375			22.18125
	13.187499999999996			22.20625
	13.149999999999999			21.625
	12.068749999999996			19.968750000000004
	12.0125			19.55
Sep.	12.062499999999998			20.33125
	11.64375			19.55
	11.424999999999999			20.41875
	11.0875			19.275
	10.737499999999999			19.68125
	10.587499999999999			19.26875
	10.162500000000001			19.8375
	9.374999999999998			18.1625
	9.3			17.793750000000003
	9.4375			18.3625
	10.1			17.64375
	10.3125			18.581250000000004
	10.83125			18.5
	9.6			17.2
	9.3			16.987500000000004
	8.649999999999999			16.874999999999996
	8.287499999999998			16.493750000000002
	8.35			16.0875
	9.0125			16.581250000000004
	8.906249999999998			16.03125
	8.700000000000001			15.7375
	8.44375			15.668750000000001
	8.075			14.7875
	7.60625			14.106250000000001
	7.456250000000001			14.75
	7.83125			14.724999999999998
	7.9624999999999995			14.725
	7.35			14.093749999999998
	6.800000000000001			13.91875
	7.2625			13.593749999999998
Oct.	7.875			13.606249999999998
	7.431249999999999			13.068749999999998
	6.950000000000002			13.6625
	6.7625			13.48125
	6.30625			12.837500000000002
	7.000000000000001			13.16875
	7.281250000000001			13.400000000000002
	8.08125			13.256250000000001
	7.418749999999999			13.55
	7.30625			12.625000000000004
	6.9375			12.3625
	7.3625			12.75
	6.4125000000000005			12.28125
	6.65625			11.825000000000001
	6.031249999999999			11.61875
	6.2875			11.7625
	5.79375			11.375
	5.968750000000001			11.774999999999999
	6.837499999999999			11.75
	6.2			11.025
	5.1875			10.387500000000001
	6.037500000000001			10.73125
	5.65625			10.337499999999999
	5.6			10.293750000000001
	5.3			9.55
	5.018750000000001			9.243749999999999
	4.699999999999999			9.06875
	3.6437500000000007			7.706250000000001
	4.1000000000000005			8.875
	4.23125			8.275
	4.01875			7.95625
Nov.	3.7437499999999995			8.0625
	3.1000000000000005			7.39375
	2.7375000000000003			6.84375
	3.34375			6.7875000000000005
	2.9562500000000003			7.168749999999999
	2.5749999999999997			6.29375
	1.1062499999999997			4.94375
	0.86875			4.64375
	1.3874999999999997			5.8125
	1.2687499999999998			5.399999999999999
	1.16875			4.76875
	1.3375000000000001			4.69375
	1.3375000000000001			4.64375
	1.1			4.5687500000000005
	0.19375000000000003			4.05
	-0.56875			3.18125
	-1.3125000000000002			3
	-1.00625			3.41875
	-1.10625			2.8
	-0.27500000000000013			2.8687500000000004
	-0.23749999999999993			3.1062500000000006
	0.30625			3.7375000000000003
	0.8124999999999999			4.112500000000001
	1.0125000000000002			4.24375
	0.875			4.26875
	0.28125000000000006			3.4499999999999997
	0.29999999999999993			3.7499999999999996
	0.11250000000000013			3.85
	-1.0062499999999999			2.99375
	-0.9750000000000001			2.4437499999999996
Dec.	-0.9687499999999999			3.1750000000000003
	-0.12499999999999999			3.6249999999999996
	1.3312500000000003			4.343749999999999
	0.7375000000000002			4.449999999999999
	0.8062499999999999			4.606249999999999
	1.2625			4.4
	0.875			3.9875
	0.6937499999999999			4.6
	1.5999999999999996			5.20625
	1.2000000000000002			5.1312500000000005
	1.2437500000000001			5.30625
	1.375			5.4125
	1.21875			4.325000000000001
	0.23750000000000002			4.4125
	-0.018750000000000044			3.2125
	-0.61875			3.9375
	1.24			5.3066666666666675

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

37°C

Highest Temp

28 Jun. 26

-11°C

Lowest Temp

8 Jan. 26

Seasonal Breakdown

Hottest MonthJuly24.98°C

Coldest MonthJanuary-4.51°C

Wettest MonthJune2.17mm

Windiest MonthJuly25.96km/h

Schwedt Oder 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 Schwedt Oder historically?

August is historically Schwedt Oder 's hottest month, with average maximum temperatures around 24°C. During peak heatwave events, the highest recorded temperatures have reached 37°C on 2022-07-20.

2. What is the coldest month in Schwedt Oder historically?

January is Schwedt Oder 's coldest month, with average minimum temperatures around -1°C. The all-time record low of -21°C was recorded on 2010-01-27.

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

Schwedt Oder 's average annual rainfall is approximately 616.3mm, based on records spanning 17 years.

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

Schwedt Oder historically records approximately 201.3 rainy days per year. July has the highest number of rain days at an average of 20.1 days.

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

The all-time highest temperature recorded in Schwedt Oder is 37°C on 2022-07-20.

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

The all-time lowest temperature recorded in Schwedt Oder is -21°C on 2010-01-27.

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

Schwedt Oder experiences its strongest winds during January. The historic gust record of 51.5 kph was recorded on 2022-02-19.

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

Usually, Schwedt Oder 's humidity peaks in December at around 88.2% and drops to its lowest in August at approximately 69.1%.

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Schwedt Oder Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Schwedt Oder 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

Schwedt Oder Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Schwedt Oder 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

Schwedt Oder Historic Weather Records
Analyse hottest, coldest, windiest & wettest days