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

Nyiregyhaza Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-1.46875	-3.9		2.9	0.3
	-1.35625	-1		3.2125	2
	-1.2937499999999995	-2		3.2750000000000004	2.6
	-0.5375000000000003	-2.7		3.6375	1.9
	-1.5062499999999994	-2.3		3.4562500000000003	1
	-1.9062500000000002	-3.7		2.7312499999999997	0.1
	-2.6312500000000005	-5.8		2	-2.2
	-3.3125	-8.7		1.5937500000000002	-2.1
	-1.6062499999999997	-12.8		2.8375	-7.8
	-1.5625	-10.2		3.3687499999999995	-5.3
	-1.7625	-15.1		3.55625	-5.1
	-1.9375	-12.4		2.8437499999999996	-7.5
	-2.06875	-12.3		2.36875	-5.1
	-1.99375	-11.5		2.7062500000000003	-0.9
Jan.	-2.34375	-3		2.5187500000000003	0.1
	-2.4812499999999997	-3.5		2.3750000000000004	1
	-2.3312500000000003	-7.7		3.0312499999999996	-0.6
	-1.76875	-8.6		2.8125000000000004	-2
	-2.53125	-9.8		1.975	-2.4
	-2.4	-10.2		1.9499999999999997	-1.8
	-2.1562499999999996	-11.3		2.675	-1.6
	-2.46875	-12.5		2.38125	-2
	-2.7375	-7		2.3937500000000003	-0.1
	-3.8687499999999995	-0.6		1.80625	1.6
	-4.0375	-0.7		1.2874999999999999	2.1
	-4.187499999999999	0.8		1.0375	4.9
	-4.356249999999999	1.4		1.3187499999999999	4.6
	-2.70625	0.4		2.38125	3
	-3.093750000000001	0.6		2.5749999999999997	2.4
	-2.9562500000000003	0.2		3.4562500000000007	1.9
	-2.5374999999999996	-2.6		3.3124999999999996	1.9
	-3.0749999999999997	-4.5		3.2625000000000006	0.4
	-1.8999999999999997	-3		3.4499999999999997	0.2
	-1.9687500000000004	-0.2		3.70625	2.9
	-2.4437499999999996	2.6		3.3875	4.5
	-2.500000000000001	3.5		3.4187500000000006	7.8
	-2.0624999999999996	4.8		3.6437499999999994	6.5
	-2.04375	4.9		4.0625	7.2
	-2.3750000000000004	2.3		3.1687499999999997	7.9
	-2.0437499999999997	2		4.1187499999999995	4.2
	-1.9937499999999995	2		4.675	3.3
	-1.8562500000000002	2.3		4.8	6.4
	-2.4625000000000004	5.9		4.4750000000000005	8.2
	-2.1187500000000004	5.3		3.6687500000000006	9.4
	-1.8124999999999998	3.2		4.518750000000001	9.7
Feb.	-1.9249999999999998	-1.6		5.018750000000001	6.2
	-1.5375	-3		5.262500000000001	3
	-1.4375	-0.2		5.5562499999999995	4.5
	-0.42499999999999993	-0.7		6.69375	5.9
	-0.28125000000000006	-0.7		6.912499999999999	5.2
	-0.23125000000000004	-1.3		6.34375	3.1
	-0.6187500000000004	-1.7		6.006249999999999	3.1
	-0.425	0.2		7.3812500000000005	5.7
	1.2500000000000002	5.1		7.3687499999999995	9.9
	0.9687500000000001	3.2		7.906250000000001	10
	0.69375	0.9		7.893750000000001	7
	0.63125	-0.8		7.975	6.7
	0.73125	0.9		7.4312499999999995	8.8
	0.7562500000000001	1.3		8.2375	10.6
	0.6874999999999999	3.3		8.212499999999999	12
	0.6124999999999999	4.5		8.375	11.1
	0.775	3		8.45	12.6
	0.8999999999999999	5.1		9.575000000000001	13.7
	1.03125	6.6		9.0375	13.2
	0.625	4		8.80625	12.5
	0.90625	4		8.825	13.8
	1.5624999999999998	4.6		9.075	14.1
	1.1812500000000001	5.3		9.35	14.3
	1.4374999999999998	5.9		10.012500000000001	15.5
	1.68125	5.7		10.31875	15.6
	2.875	6.7		10.68125	16
	3.08125	7.7		11.60625	17.2
	2.90625	7.2		11.468750000000002	16.6
Mär.	2.21875	5		9.937500000000002	15.4
	1.6312499999999999	5.9		9.05625	15.9
	0.5	4.2		9.956249999999999	8.8
	1.3250000000000002	5.7		9.487499999999999	14.7
	1.40625	3.3		10.475	11.6
	1.7875000000000003	2.7		11.081249999999997	12.7
	1.6062500000000006	5.3		12.606250000000001	13
	1.9062499999999996	4		12.75	13.7
	2.8687500000000004	7.1		12.8375	14.8
	2.8187499999999996	6.5		13.299999999999999	15.5
	3.4187499999999997	6.8		12.625	16.3
	3.5062500000000014	5.1		12.9875	15
	3.1937500000000005	5.2		12.437499999999998	17.5
	3.2062499999999994	8.3		13.06875	16.5
	4.16875	8		13.968750000000004	12.6
	5.543749999999999	5.3		14.618749999999999	9.4
	6.00625	4.7		15.143749999999999	9.6
	6.04375	4		14.98125	9.4
	4.43125	4.5		14.406250000000002	16.1
	4.0375	8.6		13.88125	15.2
	4.525	6.1		14.812500000000002	17.7
	5.675	8.1		15.425000000000002	19
	5.10625	7.7		13.337500000000002	18.9
	5.20625	4.4		14.643750000000002	14.5
	5.293750000000001	3.1		15.8375	10.3
	5.11875	1.7		15.643749999999997	10.5
	5.3187500000000005	0.1		14.956249999999999	11
	5.11875	2.1		15.51875	12.4
	6.012499999999999	2.6		16.94375	14.5
	6.068749999999999	4.8		16.65625	16.7
	6.637499999999999	8.9		16.65	17.8
Apr.	6.3875	11.8		15.875000000000004	19
	6.44375	12.4		16.8625	18.9
	6.7437499999999995	10		17.312500000000004	19.9
	6.324999999999999	6.6		16.85625	17.8
	6.5249999999999995	6.3		15.962499999999997	19.7
	6.8	7.6		16.34375	13.5
	6.275	4.6		17.662499999999998	12.4
	6.9312499999999995	2.9		17.625000000000004	14.4
	6.73125	5.1		17.849999999999998	17.5
	8.006250000000001	6.7		19.549999999999997	16.6
	9.10625	10.1		19.112499999999997	20.5
	8.943750000000001	6.3		18.318749999999998	14.3
	8.006250000000001	2.8		18.50625	15.1
	8.299999999999999	5.8		19.543750000000003	15.6
	8.837499999999999	3.9		19.900000000000002	13.2
	9.762500000000001	1.8		20.88125	13.7
	10.075	2		21.73125	15.6
	10.6625	7.7		21.918750000000003	19.9
	11.093749999999998	5.9		22.381249999999994	20.1
	10.65625	9		20.256249999999998	23.2
	10.15	10.4		19.937499999999996	25.2
	9.8375	11.7		20.01875	23.8
	10.31875	14.2		19.46875	19.3
	9.175	12.6		18.725	21
	8.525	11.1		18.581250000000004	19.8
	8.875000000000002	8.8		20.562500000000004	21.4
	10	11		21.96875	22.5
	10.96875	9.5		22.3375	17.2
	10.21875	7.2		20.499999999999996	14.9
	9.237499999999999	5.7		17.974999999999998	18.5
Mai	9.243749999999999	9.7		18.656250000000004	21.2
	9.375	11.7		18.275	18.5
	9.56875	10.7		18.906249999999996	18.3
	9.54375	7.9		18.375000000000004	17.7
	9.38125	11.1		21.01875	19.6
	11.19375	10.4		22.556250000000002	22.7
	11.856250000000001	12		23.0875	23.2
	12.21875	14.7		22.11875	23.9
	11.675000000000002	12.7		22.24375	25.2
	11.95	11.9		21.9625	26.5
	12.450000000000003	16.2		22.425	25.7
	12.112500000000002	14.4		22.5375	28.4
	12.237499999999997	14.9		22.04375	30.5
	12.14375	10.6		22.26875	21.3
	11.3125	9.1		22.124999999999996	21.8
	12.049999999999997	10.9		22.74375	22.5
	13.01875	12.8		22.924999999999997	23.5
	13.075000000000001	13.9		23.05625	17.7
	13.656250000000002	13.6		23.856250000000003	24.9
	12.881249999999996	14.2		23.21875	26.4
	13.275000000000002	16.5		23.59375	23.4
	14.1875	13.8		25.006249999999998	25.7
	14.237500000000002	14.6		25.025000000000006	22.9
	15.212499999999999	13.7		25.793750000000003	26.8
	15.287500000000001	15.6		26.7125	26.3
	15.574999999999998	14.5		26.318750000000005	29.1
	15.85	16.6		27.000000000000004	30.2
	16.156250000000004	15.5		25.781249999999996	22.3
	15.46875	12.7		25.76875	21.1
	15.412500000000001	10.6		25.212500000000002	23
	14.80625	13.2		24.543749999999996	24.1
Jun.	14.231250000000001	11.5		25.206250000000004	23.2
	14.724999999999998	11.2		25.40625	26.5
	15.399999999999999	16.7		25.268749999999997	26.2
	15.743750000000004	13.6		27.231249999999996	25.9
	15.956249999999999	16.4		27.474999999999998	30.1
	16.2625	18		27.4875	32.6
	16.224999999999998	18.6		26.587500000000002	33
	15.831249999999999	18.7		27.24375	32
	17.006249999999998	19.8		27.825000000000003	31.6
	16.5	18.1		26.68125	31.9
	16.09375	17.6		26.181250000000002	32.5
	16.1	18.9		25.95625	35
	16.131249999999998	21		26.450000000000003	36.7
	16.38125	21.6		26.487499999999997	38.9
	16.59375	22.7		27.58125	40.2
	17.349999999999998	22.8		28.437500000000004	39.3
	16.375	21.5		27.625000000000004	37.7
	16.28125	19.5		27.706250000000004	27.7
	16.425	17.5		27.650000000000002	31.2
	15.749999999999998	12.8		27.118750000000006	28.1
	16.056250000000002	13.9		28.2375	27.3
	16.6	13.9		29.031249999999996	29.5
	17.26875	15.2		28.91875	31.3
	16.737500000000004	15.9		28.90625	26.3
	16.625	11.9		27.425	25.6
	17.11875	14.4		28.03125	25.7
	16.537499999999998	12.8		27.743750000000002	26.8
	16.2125	14.6		27.818749999999994	24.6
	16.356250000000003	13		27.606250000000003	28.8
	17.2875		16.7	29.018749999999997		32.6
Jul.	16.88125		19	28.206249999999997		31.2
	16.725		17.6	28.21875		34.5
	17.04375		19.4	28.468749999999996		37
	16.9625		19.6	27.899999999999995		36.4
	17.393749999999997		17	28.481250000000006		31.5
	17.537499999999998		14.9	29.19375		28.1
	17.456249999999997		13.7	29.25		27.4
	17.55		17.3	28.493750000000002		28.8
	17.468750000000004		17.8	28.581250000000004		29.3
	17.80625		18.1	28.649999999999995		29.3
	17.6125		17.8	28.643749999999997		28.1
	17.375		17	28.424999999999997		28.1
	17.062499999999996		16.9	27.281249999999996		27.6
	17.075000000000003		17.1	28.756249999999998		29.5
	17.943749999999998		18.2	28.993749999999995		28.4
	17.762500000000003		17.5	27.912500000000005		27.9
	17.34375		17.3	28.1		28.8
	17.425		17.5	29.431249999999995		29.1
	17.8125		17.7	29.46875		29.8
	18.04375		18.2	30.04375		30.1
	17.48125		18.1	29.46875		30.1
	18.331249999999997		18.3	30.4625		30.1
	18.03125		17.8	29.38125		29.3
	17.0125		17.2	28.781249999999996		28.6
	17.64375		17.6	29.443749999999998		29.7
	17.868749999999995		17.7	30.0375		29.5
	17.78125		17.3	29.95625		30
	17.31875		17.1	29.181250000000002		28.5
	16.375		16.2	29.15		28.7
	16.74375		16.5	29.281250000000004		29.4
	16.806250000000002			29.393750000000004
Aug.	17.112499999999997			29.631250000000005
	17.268749999999997			29.556250000000002
	16.868750000000002			27.8375
	16.69375			27.856249999999996
	16.65625			29.11875
	16.7375			28.49375
	16.4625			27.643750000000004
	16.56875			27.95
	16.700000000000003			27.39375
	16.443749999999998			27.99375
	16.53125			29.212500000000002
	16.662499999999998			29.00625
	16.8			29.262499999999996
	16.525000000000002			28.05625
	15.812500000000002			27.849999999999998
	15.60625			28.131249999999998
	16.425			27.456249999999997
	15.956249999999999			27.3875
	15.8125			26.974999999999998
	15.125			25.3125
	14.487500000000002			25.974999999999998
	14.6125			26.05
	14.056249999999999			25.125000000000004
	13.3125			25.225
	13.8625			25.18125
	13.693750000000001			25.525000000000002
	13.537499999999996			24.3875
	14.4625			25.15
	14.8625			25.449999999999996
	14.40625			25.95
	14.81875			24.906250000000004
Sep.	13.950000000000003			24.3
	14.11875			23.73125
	13.2625			22.631250000000005
	12.59375			22.6125
	12.425			21.7
	11.75			21.825000000000003
	11.1			20.78125
	10.36875			20.418749999999996
	10.656249999999998			20.756250000000005
	10.8875			20.174999999999997
	10.78125			19.987499999999997
	11.543750000000003			20.525
	10.775			20.599999999999998
	11.150000000000002			20.287499999999998
	10.13125			19.687500000000004
	9.925			18.818750000000005
	9.9875			17.868750000000002
	8.9875			17.99375
	8.812500000000002			18.3
	9.518749999999999			18.03125
	9.200000000000001			17.399999999999995
	8.7375			17.43125
	8.5125			17.80625
	7.675000000000001			16.93125
	7.406250000000001			16.15625
	7.93125			16.424999999999997
	8.53125			17.31875
	8.88125			17.05625
	8.256250000000001			16.9375
	7.4312499999999995			16.9875
Okt.	7.00625			16.075
	7.7124999999999995			16.3625
	7.468750000000002			15.906249999999998
	6.49375			15.856250000000001
	7.2125			15.049999999999999
	7.36875			15.8
	7.556250000000001			15.681249999999999
	8			15.368750000000002
	7.662500000000001			15.931250000000002
	7.30625			15.6
	7.01875			15.20625
	7.612499999999999			14.7125
	6.975			14.70625
	6.5375000000000005			14.756249999999998
	6.26875			14.20625
	6.00625			13.893749999999999
	5.225			13.331249999999999
	4.83125			13.299999999999999
	6.0249999999999995			13.531250000000002
	6.6625			13.649999999999999
	6.14375			13.456249999999999
	6.5125			13.90625
	5.4312499999999995			13.137500000000001
	5.637499999999999			12.475
	5.668749999999999			12.2125
	5.606249999999999			12.556249999999999
	5.418749999999999			11.568749999999998
	4.2124999999999995			10.58125
	4.26875			10.83125
	4.499999999999999			10.668750000000001
	4.38125			10.2625
Nov.	4.31875			10.10625
	3.8125000000000004			10.206249999999999
	3.0125000000000006			8.80625
	2.9125			8.193750000000001
	2.4125			8.28125
	3.212500000000001			8.875
	3.40625			8.212500000000002
	2.25			6.9750000000000005
	1.0874999999999997			6.799999999999999
	1.2937500000000002			6.656250000000001
	0.36874999999999997			5.8
	0.9125000000000002			5.512500000000001
	0.05625			4.775000000000001
	0.825			5.375
	0.23124999999999998			5.4875
	-0.5374999999999999			4.468750000000001
	-0.4750000000000001			4.23125
	-0.11874999999999991			4.18125
	-0.4062499999999999			4.4
	-0.8875000000000001			4.3812500000000005
	-0.8437499999999998			4.28125
	0.11874999999999991			4.706250000000001
	0.35000000000000003			4.106249999999999
	0.24999999999999994			4.356249999999999
	-0.2			4.85
	-0.08124999999999993			4.175000000000001
	-0.7874999999999996			3.575
	-0.24999999999999978			4.20625
	-0.19374999999999998			3.9437499999999996
	-1.0937499999999996			2.8375
Dez.	-1.0187500000000003			3.14375
	-0.80625			3.6999999999999997
	-0.9687499999999998			3.2687500000000003
	-1.0875			3.3
	-1.3062500000000004			2.71875
	-1.3312500000000003			3.5625
	-0.6812499999999998			3.71875
	-0.09374999999999989			3.40625
	0.05625000000000002			4.21875
	0.15625			4.7875
	0.3999999999999999			4.9375
	-0.19374999999999998			4.66875
	-0.55625			4.04375
	-0.8437500000000002			3.3875
	-1.3375000000000001			3.4499999999999993
	-1.6500000000000004			2.35625
	-1.5199999999999996			2.253333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

40°C

Höchste Temperatur

29 Jun. 26

-15°C

Niedrigste Temperatur

11 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatJuni28.65°C

Kältester MonatJanuar-5.76°C

Nassester MonatJanuar1.84mm

Windigster MonatJuli25.4km/h

Nyiregyhaza 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 Nyiregyhaza?

August ist historisch gesehen der heißeste Monat in Nyiregyhaza, mit durchschnittlichen Höchsttemperaturen von etwa 29°C. Während der stärksten Hitzewellen wurden Temperaturen von 40°C am 2026-06-29 erreicht.

2. Was ist der historisch kälteste Monat in Nyiregyhaza?

Januar ist der kälteste Monat in Nyiregyhaza, mit durchschnittlichen Tiefstwerten von etwa -2°C. Der Allzeit-Rekordtiefstwert von -17°C wurde am 2012-02-03 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Nyiregyhaza beträgt etwa 636.6mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Nyiregyhaza verzeichnet historisch gesehen etwa 174.6 Regentage pro Jahr. Juni hat die meisten Regentage mit durchschnittlich 18 Tagen.

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

Die höchste jemals in Nyiregyhaza gemessene Temperatur beträgt 40°C am 2026-06-29.

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

Die niedrigste jemals in Nyiregyhaza gemessene Temperatur beträgt -17°C am 2012-02-03.

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

Nyiregyhaza erlebt seine stärksten Winde während März. Der historische Böenrekord von 49.7 km/h wurde am 2025-10-24 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Nyiregyhaza im Januar etwa 83.9% und fällt im August auf etwa 56.9%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Nyiregyhaza 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

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

Nyiregyhaza 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

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