Deutschlandsberg Historische Wetterdaten
Analysieren Sie die heißesten, kältesten, windigsten und nassesten Tage

Deutschlandsberg Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-2.275	-4.8		5.775000000000001	1.9
	-2.6187500000000004	-4.6		5.0625	2.3
	-2.7624999999999997	-4.1		4.1625	1.2
	-2.7749999999999995	-4.5		4.09375	0.7
	-2.2687500000000003	-5.2		4.13125	-0.9
	-2.5562499999999995	-3.6		4.23125	-1.8
	-2.6312500000000005	-6.6		3.8875000000000006	0.2
	-2.3874999999999997	-8.8		4.025	-0.2
	-1.7062499999999998	-7.9		4.60625	-0.7
	-2.1062499999999993	-4.5		4.624999999999999	2.6
	-2.9687499999999996	-7.5		4.1375	0.5
	-2.9812499999999997	-8.1		4.3999999999999995	-0.7
	-2.85625	-4.1		4.14375	3.6
	-2.3562499999999997	-2.7		4.3687499999999995	4.8
Jan.	-3.1875	-1.1		3.84375	4.7
	-3.5812500000000003	-2		3.618749999999999	2.5
	-3.18125	-0.5		3.93125	0.8
	-3.118749999999999	-2.4		3.8312500000000003	0
	-3.98125	-4.4		3.4499999999999997	-1.2
	-4.1125	-6		3.7625000000000006	-0.4
	-3.4375000000000004	-6.5		3.575	1.5
	-3.375	-8.4		3.45	-0.6
	-3.8625000000000007	-7.8		3.3562499999999997	-0.2
	-3.1312499999999996	-5.5		3.00625	2.6
	-4.0125	-2.9		3.6999999999999993	2.6
	-4.84375	-2		3.4312500000000004	3.8
	-5.0625	-2.7		3.9000000000000004	4.2
	-3.6625000000000005	-1.4		4.4625	3.5
	-4.324999999999998	0.2		3.98125	1.2
	-3.46875	-1.2		4.675	2.7
	-3.88125	0.4		4.01875	1.7
	-3.96875	-5.3		4.2375	-0.6
	-3.337500000000001	-6		4.831250000000001	-0.9
	-3.1125	-6.4		5.187499999999999	2.3
	-2.4812499999999997	-2.1		5.375	0.5
	-2.48125	-0.2		5.51875	1.7
	-2.35625	-2.4		5.21875	3.5
	-2.7562499999999996	-2.5		5.1499999999999995	3.8
	-3.4187499999999997	0.7		4.93125	1.9
	-3.23125	0		4.74375	1.7
	-2.6687499999999993	-2.7		4.95625	2.8
	-2.5875000000000004	-1.9		4.949999999999999	3.9
	-2.6187499999999995	-0.8		3.375	4.2
	-3.28125	-1		4.46875	6.6
	-3.5000000000000004	0.3		5.643749999999999	5.8
Feb.	-2.6812499999999995	-4.5		5.999999999999999	2.2
	-2.6125000000000003	-3.5		6.7562500000000005	2.8
	-1.63125	-4.8		7.324999999999999	4.4
	-0.9749999999999996	-4.6		7.687499999999999	3.6
	-1.3375000000000004	-2.3		7.5874999999999995	3.5
	-0.99375	-5.6		6.9937499999999995	1.1
	-1.3124999999999998	-9.5		7.625	2.1
	-1.4062500000000002	-2.4		8.05	7.8
	-0.8562500000000004	-0.2		8.387500000000001	9.7
	-0.71875	-1		8.381250000000001	6.4
	-1.0999999999999999	-1.5		8.5	8.9
	-1.1999999999999997	-1		7.30625	9.7
	-0.8875	0.3		7.23125	11.5
	-1.5062499999999996	1.5		7.75	10.8
	-0.7062499999999997	2.4		8.04375	9.4
	-0.5875	3.8		8.05	7.1
	-1.0125000000000002	3.1		9.725	8.6
	0.17500000000000004	1.6		9.243749999999999	9.5
	-0.24999999999999997	0.3		8.4625	10.3
	-0.35	0.4		8.2	10.3
	0.18124999999999994	0.4		8.46875	10.9
	-0.03124999999999986	0.8		9.00625	9.4
	-0.26250000000000007	1.2		10.199999999999998	8.7
	0.29374999999999996	0.3		9.518749999999999	10.9
	0.15625000000000006	0.5		10.4875	11.6
	0.6375000000000001	1.1		10.66875	11.3
	1.475	2.6		11.6	8.8
	1.3062500000000001	1.7		10.637499999999998	9
Mär.	0.9562499999999999	1.1		10.737499999999997	7.8
	1.4125	2		10.581249999999999	5.7
	1.2937500000000002	-2		11.6	3.9
	0.9125	-3.5		10.7875	1.5
	1.1	-4.4		11.124999999999998	6.5
	0.6437499999999999	-3.5		11.231250000000001	8.2
	0.9812500000000001	-0.8		12.681249999999999	4.5
	2.04375	-1.3		12.687499999999998	5.8
	1.925	0		13.412500000000001	8.5
	1.7	-0.9		13.606249999999998	10.1
	2.1812500000000004	0.4		11.862499999999999	12.1
	1.9562499999999998	-1.2		12.46875	2
	1.69375	-2.4		11.581249999999999	2.3
	1.9999999999999998	-3.1		13.249999999999998	8.5
	2.9812499999999997	-2.7		14.725	6.6
	3.650000000000001	-3.2		15.637500000000003	9.3
	4.5	-4.5		14.787500000000001	4.2
	4.18125	-3.2		14.525	7
	3.65625	-3.5		13.874999999999998	7.9
	3.04375	-0.3		14.1	11.5
	2.9125	-0.4		14.6875	13
	3.625	2.1		14.412500000000001	18.5
	3.0562500000000004	6.2		14.418749999999998	17.8
	3.70625	5.5		15.081249999999999	16.9
	4.5375000000000005	1		15.774999999999999	12.9
	4.125	-1.7		15.037499999999998	12.4
	3.8375	-1.3		16.0625	10.3
	4.20625	1.3		15.7625	10.7
	4.8125	2.4		16.300000000000004	15.4
	5.225	5.8		15.75	13.7
	5.15625	6.6		16.1125	8.8
Apr.	5.59375	5.9		15.43125	10.6
	4.99375	4.1		16.418750000000003	13.3
	4.7437499999999995	3.8		16.049999999999997	15.4
	4.6	4.1		14.881249999999998	16.5
	4.6187499999999995	4.8		15.2625	17.1
	4.906250000000001	3.5		16.099999999999998	10.6
	5.15	0.3		17.2875	9.9
	6.0062500000000005	-2		17.29375	10.7
	6.193750000000001	-1.6		16.868750000000002	14.6
	6.55	0.9		17.25	18.6
	6.575000000000001	3.1		17.64375	20.2
	6.668750000000001	5.3		16.05625	20
	6.35	6.1		16.275000000000002	15.7
	5.8500000000000005	4.7		17.20625	13.3
	6.375000000000001	2.4		18.83125	7.5
	7.525	-2		18.8125	10.9
	7.825	-1.5		19.79375	14.8
	9.174999999999999	2.6		18.868750000000002	19
	8.93125	5.1		18.618749999999995	20.5
	8.15	5.3		18.162499999999998	21.1
	7.562500000000001	5.7		17.537499999999998	18
	7.987499999999999	4.7		17.83125	16.4
	8.024999999999999	3.7		18.425	18
	8.168750000000001	3		18.025	15.6
	7.450000000000001	6		18.30625	15.8
	8.4625	4.7		20.26875	17.8
	8.60625	6.8		20.45625	17
	9.818750000000001	-2		19.425	6.8
	9.24375	-3.5		17.999999999999996	13.6
	8.8375	0.4		17.55625	9.1
Mai	8.356250000000001	3.1		16.39375	7
	8.13125	2.4		16.7875	10.7
	8.35625	1.2		16.61875	14.7
	8.306250000000002	2.4		18.6125	14.8
	8.4	4.2		20.456249999999997	13.5
	9.35	5.1		20.8	16.2
	10.106250000000001	6.1		20.518749999999994	17.5
	10.643749999999999	5.8		20.1125	20.9
	10.925000000000002	7.7		20.131249999999998	21.3
	10.768749999999999	9.5		20.868750000000002	24.8
	10.5875	11.5		20.4625	25.2
	10.225000000000001	11.9		21.637500000000003	27
	10.606250000000001	12.4		20.756249999999998	25.7
	9.981249999999998	9.2		20.006249999999998	21.8
	9.925	6.5		19.90625	21.8
	9.675	9.5		20.112499999999997	24.2
	10.325	9.8		20.63125	22.9
	10.6375	8.9		21.543750000000003	18.6
	11.375	7.1		22.099999999999998	21.6
	11.568750000000001	7		22.23125	14.2
	12.28125	5.5		24.0625	21.1
	13.0375	8.2		22.81875	12.7
	12.725	10		22.925	22.3
	12.50625	8		23.8375	21.4
	12.981250000000001	10.7		24.11875	21.7
	13.468749999999996	11.2		23.48125	22.8
	13.375	5.7		23.725000000000005	11
	13.974999999999998	4		24.125	13.4
	13.39375	4.1		25.174999999999997	15.1
	13.53125	9		23.7125	22.8
	13.0375	9.1		23.356250000000003	20.7
Jun.	12.80625	8.2		24.012500000000003	16.5
	13.124999999999998	7.1		22.900000000000002	21.2
	13.59375	9.2		23.781249999999996	22.6
	13.756250000000003	11.5		25.606250000000003	23.9
	13.912500000000001	16.3		25.918750000000003	30.9
	14.200000000000001	14.1		26.31875	27.5
	14.793750000000001	12.8		25.537500000000005	27.2
	14.749999999999998	13.4		26.193750000000005	27.9
	14.7625	13		25.256249999999994	26.2
	14.05625	13.1		23.99375	26.8
	13.593750000000002	13.8		24.50625	26.9
	13.9875	16.2		25.268749999999997	28.1
	14.45	16.2		25.49375	29.8
	14.53125	15.2		25.718750000000004	30.6
	14.518749999999999	15.6		27.506249999999998	30.2
	14.88125	15.1		26.968749999999996	29.5
	14.256250000000001	12.4		26.099999999999998	29.6
	14.631250000000001	9.6		25.737499999999997	22.8
	14.83125	10.6		26.5875	23.2
	15.15	8		25.29375	23.4
	15.056249999999999	10		26.181250000000006	22.2
	15.45625	13.3		27.5125	21.9
	15.23125	11.4		27.168750000000003	25.7
	14.46875	12.6		25.36875	21.5
	14.24375	11.9		25.668750000000003	20.2
	14.581249999999999	10.3		26.499999999999993	25.1
	15.03125	11.6		25.775000000000006	24.5
	15	10.8		26.581250000000004	23.8
	15.38125	10.8		26.450000000000003	27.1
	14.674999999999999	13.6		25.4625	25.7
Jul.	14.381250000000001	13		25.80625	26.6
	14.625	13.9		25.15	25.4
	15.03125	14.7		26.00625	25.6
	15.10625	12.4		26.118750000000002	23.9
	14.906250000000002	10.9		27.33125	20.9
	16.125	10.3		27.85625	20.3
	16.45625	8.8		27.21875	17.2
	15.53125	6.5		26.7125	19.5
	16.099999999999998	8.1		26.69375	20.3
	15.537500000000001	5.4		26.037499999999994	20.6
	15.800000000000002	7.7		26.05	24.2
	15.231250000000003	11.1		24.80625	23.1
	14.93125	10.9		25.549999999999997	24.5
	15.631250000000001	13.2		25.90625	23.9
	15.9125	13.5		26.8625	28
	15.66875	14.9		25.549999999999997	28.9
	15.381249999999998	14.8		26.65	30
	15.63125	13.7		27.45	29.1
	15.712499999999999	14.2		26.0875	27.8
	15.662500000000001	15.8		26.862499999999994	29.5
	15.88125	16.2		26.675	30.9
	15.43125	16.7		26.4	30.3
	15.806249999999999	16.3		25.50625	29.4
	15.41875	14.5		26.574999999999996	24.6
	15.4125		12.5	26.506250000000005		22.3
	15.893750000000002		12.5	27.6		27.5
	15.59375		15.2	27.400000000000002		29.8
	15.112500000000002		15.6	26.212499999999995		29.5
	15.231250000000001		13.4	26.393749999999997		26.9
	14.862499999999999		15.4	26.275000000000002		28
	15.387500000000001		15.7	25.76875		30.5
Aug.	15.35625		14.4	27.25		28.4
	15.325000000000001		15.3	26.76875		26.7
	14.75		14.9	25.99999999999999		26.1
	15.256250000000001		15.3	26.975		26.7
	15.58125		15.3	26.0875		26.1
	15.25625		15.2	25.20625		25.8
	14.837499999999999		15.4	25.54375		25.2
	15.16875		15.1	25.700000000000003		26
	15.175000000000002		15	25.093750000000004		25
	14.8875		15	25.799999999999997		25.4
	14.78125		14.5	24.3875		24.2
	14.337499999999999		14	26.018749999999997		25.8
	14.1625		14.2	26.137500000000006		26.3
	13.7125		14.2	24.76875		25.1
	14.006250000000001		14.1	25.125		25
	14.056249999999997		13.7	24.043750000000003		23.6
	13.95		13.5	24.893749999999997		23.8
	13.599999999999998		13.1	22.78125		22.9
	12.925		13	22.2375		22.8
	12.825000000000001		12.9	22.98125		23.4
	13.043750000000003		13.2	23.64375		23.5
	13.425000000000002		13.3	24.175		23.4
	13.381249999999998		13	22.95		21.9
	12.537500000000001		11.9	21.65		21.9
	12.70625			22.73125
	12.58125			23.162499999999998
	12.40625			22.487499999999997
	12.475000000000001			22.756250000000005
	12.393749999999999			22.975
	11.662499999999998			22.875
	12.20625			21.7875
Sep.	12.168749999999998			21.981250000000003
	12.54375			20.825
	11.44375			20.081249999999997
	11.118749999999999			19.64375
	10.60625			19.05625
	9.731250000000001			19.506250000000005
	10			20.4375
	9.3625			19.51875
	8.8			19.43125
	9.9625			19.006249999999998
	9.94375			18.243750000000002
	9.356250000000001			18.80625
	9.325000000000001			18.675
	9.462499999999999			18.9625
	9.325000000000001			17.3625
	8.65625			17.381249999999998
	8.443750000000001			17.881249999999998
	8.2875			18.40625
	8.00625			17.2625
	8.131250000000001			17.9875
	8.28125			17.75625
	8.14375			16.3125
	7.86875			15.887500000000001
	7.375000000000001			16.7875
	7.706250000000001			16.43125
	7.58125			16.25
	7.6499999999999995			17.45625
	6.61875			16.475
	6.906249999999999			16.187500000000004
	6.768749999999999			16.075
Okt.	6.6125			15.693749999999998
	6.56875			15.393750000000002
	6.031249999999999			14.79375
	5.949999999999999			15.68125
	6.174999999999999			15.249999999999998
	6.29375			15.668750000000001
	6.612500000000001			16.08125
	5.3875			14.39375
	5.48125			15.5625
	6.08125			14.899999999999997
	5.88125			14.78125
	6.043749999999999			15.306249999999999
	6.125000000000001			14.56875
	5.537499999999999			14.075
	5.1375			13.856250000000001
	5.168749999999999			13.218749999999998
	4.675000000000001			13.71875
	4.675000000000001			14.456249999999997
	4.831250000000001			13.462499999999999
	5.3875			13.85625
	5.581249999999999			13.3125
	5.375			13.300000000000002
	4.424999999999999			12.312499999999998
	4.8125			12.40625
	3.993750000000001			11.874999999999998
	3.3312499999999994			11.98125
	3.6687499999999997			11.275000000000002
	3.0937500000000004			10.94375
	2.98125			10.98125
	3.3750000000000004			9.9
	2.8937500000000003			9.975000000000001
Nov.	2.86875			10.05625
	2.76875			9.5
	2.3749999999999996			8.96875
	1.9999999999999996			9.612499999999999
	0.9249999999999999			8.85
	1.8250000000000002			8.35
	1.35			7.8187500000000005
	1.0687499999999996			7.543750000000001
	0.43125			7.2749999999999995
	0.33749999999999986			7.35
	-0.2312499999999999			7.00625
	0.1312500000000001			5.5375
	-0.6000000000000002			5.8812500000000005
	-0.1875			6.11875
	-0.7187500000000001			5.137499999999999
	-1.69375			4.85625
	-1.3312499999999998			4.6312500000000005
	-1.2562499999999999			4.5687500000000005
	-1.7375			4.0125
	-2.5625			4.09375
	-1.8812499999999996			4.2875
	-1.6750000000000003			4.893750000000001
	-1.6124999999999998			5.3625
	-1.35			4.80625
	-1.9562499999999994			4.418749999999999
	-1.9374999999999996			4.6000000000000005
	-2.05625			5.1
	-1.5999999999999999			5.35625
	-2.575			4
	-2.9250000000000003			3.8749999999999996
Dez.	-2.0749999999999997			4.687500000000001
	-1.9500000000000002			4.5
	-2.0437500000000006			4.925
	-2.1312500000000005			5.43125
	-2.4812499999999997			5.4
	-1.7812499999999998			4.63125
	-1.3812499999999999			4.35625
	-1.3875			5.175000000000001
	-1.1187499999999997			5.6875
	-0.5500000000000002			6.7124999999999995
	-0.7374999999999999			6.8125
	-1.1499999999999997			6.074999999999999
	-1.40625			5.418749999999999
	-2.4624999999999995			4.60625
	-2.70625			4.218749999999999
	-3.0687499999999996			3.9625
	-2.7399999999999998			5

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

31°C

Höchste Temperatur

19 Jun. 26

-9°C

Niedrigste Temperatur

21 Feb. 26

Saisonale Aufschlüsselung

Heißester MonatAugust28.8°C

Kältester MonatJanuar-4.23°C

Nassester MonatJuni6.48mm

Windigster MonatMai10.18km/h

Deutschlandsberg Einblicke in den KlimawandelErfahren Sie, wie sich Klimamuster im Laufe der Zeit entwickeln. Temperaturveränderungen, Niederschlagstrends und Extremereignisse – alles an einem Ort.

Wetter-Stadtranking weltweitEntdecken Sie in Echtzeit die heißesten und kältesten Städte der Welt anhand aktueller Temperaturdaten.

Frequently Asked Questions

1. Was ist der historisch heißeste Monat in Deutschlandsberg?

August ist historisch gesehen der heißeste Monat in Deutschlandsberg, mit durchschnittlichen Höchsttemperaturen von etwa 26°C. Während der stärksten Hitzewellen wurden Temperaturen von 36°C am 2013-08-03 erreicht.

2. Was ist der historisch kälteste Monat in Deutschlandsberg?

Januar ist der kälteste Monat in Deutschlandsberg, mit durchschnittlichen Tiefstwerten von etwa -3°C. Der Allzeit-Rekordtiefstwert von -19°C wurde am 2013-01-27 gemessen.

3. Wie hoch ist die durchschnittliche jährliche Niederschlagsmenge in Deutschlandsberg über die letzten 17 Jahre?

Der durchschnittliche jährliche Niederschlag in Deutschlandsberg beträgt etwa 836.6mm, basierend auf Aufzeichnungen über 17 Jahre.

4. Wie viele Regentage gibt es in Deutschlandsberg durchschnittlich pro Jahr?

Deutschlandsberg verzeichnet historisch gesehen etwa 182.2 Regentage pro Jahr. Mai hat die meisten Regentage mit durchschnittlich 21.9 Tagen.

5. Was ist die höchste jemals in Deutschlandsberg gemessene Temperatur?

Die höchste jemals in Deutschlandsberg gemessene Temperatur beträgt 36°C am 2013-08-03.

6. Was ist die niedrigste jemals in Deutschlandsberg gemessene Temperatur?

Die niedrigste jemals in Deutschlandsberg gemessene Temperatur beträgt -19°C am 2013-01-27.

7. Wann ist die windigste Zeit des Jahres in Deutschlandsberg historisch gesehen?

Deutschlandsberg erlebt seine stärksten Winde während April. Der historische Böenrekord von 32 km/h wurde am 2017-04-20 gemessen.

8. Was ist die höchste und niedrigste Luftfeuchtigkeit in Deutschlandsberg während eines Jahres?

Normalerweise erreicht die Luftfeuchtigkeit in Deutschlandsberg im Dezember etwa 81.4% und fällt im April auf etwa 69.5%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

Deutschlandsberg Historische Wetterdaten
Analysieren Sie die heißesten, kältesten, windigsten und nassesten Tage

Deutschlandsberg Wettertrend-Grafik

Jahresübersicht 2026

Saisonale Aufschlüsselung

Frequently Asked Questions

Aktuelle Blogs über das Wetter

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

Deutschlandsberg Historische WetterdatenAnalysieren Sie die heißesten, kältesten, windigsten und nassesten Tage

Deutschlandsberg Wettertrend-Grafik

Jahresübersicht 2026

Saisonale Aufschlüsselung

Frequently Asked Questions

Aktuelle Blogs über das Wetter

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

Deutschlandsberg Historische Wetterdaten
Analysieren Sie die heißesten, kältesten, windigsten und nassesten Tage