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

Kolhapur Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	17.90625	14.5		29.65625	29
	18.11875	15.8		29.993749999999995	29.9
	17.91875	17.1		30.212499999999995	30.9
	17.91875	20.3		30.03125	30.5
	18.099999999999998	18.1		30.41875	29.6
	18.206250000000004	15.7		30.293749999999996	29.1
	17.687500000000004	14.9		29.76875	28.8
	17.36875	14.6		29.649999999999995	28.6
	17.275	14.5		29.40625	28.3
	17.60625	15		29.837500000000002	29.3
	17.5375	15.9		29.887500000000003	29.7
	17.537499999999998	16.8		29.9875	30.2
	17.493750000000002	18.7		30.15625	31
	17.7375	18.3		30.500000000000004	31.4
Jan.	17.64375	19		30.150000000000006	31.8
	17.80625	19.1		30.187500000000004	32.1
	18.125000000000004	19.3		30.2125	31.3
	17.54375	17.2		30.5875	31.6
	17.737500000000004	16.1		30.5125	30.9
	17.887500000000003	15.6		31.025	30.6
	17.7125	16.2		30.981249999999996	31.5
	17.737499999999997	16		30.806250000000002	30
	17.7	15.2		30.56875	30.2
	17.875	15.3		30.768749999999997	30.1
	17.75625	16.4		31.0375	31.5
	18.106249999999996	19.2		31.443749999999998	32.3
	18.331249999999997	19.5		31.15625	29.7
	18.15625	17.3		31.01875	31.7
	17.79375	19.9		31.062499999999996	33.1
	18.1875	18.9		31.600000000000005	33
	18.4375	17.8		31.812500000000004	32.2
	18.61875	17.8		31.768749999999997	32
	18.61875	17.9		31.88125	32.3
	18.5125	18.8		31.993749999999995	33.1
	18.55625	19.9		32.300000000000004	32.7
	18.581249999999997	18.6		32.7875	32.5
	18.700000000000003	18.4		32.512499999999996	32.5
	18.706249999999997	18.6		32.0875	32.9
	18.39375	18.1		32.831250000000004	33.2
	18.13125	17.9		32.875	33.1
	18.96875	17.3		32.662499999999994	32.8
	19.181250000000002	17.9		32.8125	33.2
	19.15	18.1		32.94375	32.9
	19.2875	18		32.9	33.1
	19.35	18.6		33.21875	33.7
Feb.	19.481249999999996	19		33.1	34.1
	19.368750000000002	19.1		32.78125	34.3
	19.04375	19		33.3875	34.4
	19.59375	18.5		33.75625	33.3
	19.84375	18.3		33.987500000000004	33.6
	20.28125	19.7		34.125	35.1
	20.28125	20.8		34.19375	35.3
	20.181250000000002	22.5		34.556250000000006	34.8
	20.6375	21.2		34.73125	33.8
	20.724999999999998	20.2		34.63125	34.7
	20.187499999999996	19.2		34.51875	34.3
	20.168750000000003	17.9		34.74375	33.3
	20.4625	16.3		34.837500000000006	33
	20.80625	15.9		34.1875	33.6
	20.762500000000003	16.9		34.23125	34.3
	20.862499999999997	19.2		34.518750000000004	36.1
	20.89375	20.1		34.45625	37
	20.29375	20.8		34.1	37.2
	20.131249999999998	20.7		34.375	37.5
	20.224999999999994	20.6		34.756249999999994	37.6
	20.29375	19.8		34.8875	37.5
	20.4375	20.7		35.5875	37.9
	21.224999999999998	20.3		35.0375	37.7
	21.2625	21.5		35.112500000000004	36.1
	21.343750000000004	21.1		35.462500000000006	36.6
	21.6375	20.2		35.699999999999996	37.7
	21.512500000000003	21.7		35.83749999999999	37.4
	21.5875	21		35.94375	36.9
Mär.	21.75625	21.2		35.775000000000006	36
	21.831249999999997	19.4		35.99374999999999	36.1
	21.593750000000004	20.2		35.881249999999994	35.8
	21.949999999999996	20.5		36.36875	34.5
	22.462500000000002	20.9		36.59375	32.4
	22.2625	19		36.681250000000006	34.3
	22.224999999999998	20.1		36.65	34.5
	22.050000000000004	21.7		36.731249999999996	35.9
	22.106249999999996	22.1		37.3375	37.3
	22.074999999999996	21.1		37.5625	36.9
	22.8125	22.3		37.3375	37.2
	23.025	24.2		37.431250000000006	38.1
	22.70625	24.7		37.575	38.5
	22.731249999999992	22.5		37.84375	37.6
	23.11875	20.6		37.70624999999999	36.7
	22.687500000000004	23.2		37.493750000000006	36.9
	22.512500000000006	23.8		37.400000000000006	36.5
	22.6125	22.9		37.4625	36.5
	22.375000000000004	22.3		37.65624999999999	35.8
	22.2375	22.2		37.59375	34.8
	22.5	22.4		37.24999999999999	34.9
	22.531250000000004	20.3		37.543749999999996	35.4
	23.20625	18.3		37.675	32.9
	23.1625	17.2		37.53125	35.2
	23.16875	19.9		37.737500000000004	36.2
	23.193749999999998	19.9		37.349999999999994	36
	23.2625	21.6		36.99375	37.7
	23.54375	23.5		37.550000000000004	39.4
	23.868750000000002	23.4		37.699999999999996	40.2
	23.9375	22		37.7125	39.3
	23.55	23.3		37.181250000000006	40.5
Apr.	23.01875	21.7		37.09375	40
	23.474999999999994	21		37.05625	39.2
	23.224999999999998	22.8		36.61875	40
	23.081250000000004	25		36.79375	39.8
	23.006249999999998	22.4		37.43125	39.4
	23.168750000000003	24.1		36.7875	37.8
	23.19375	25.6		37.293749999999996	38.4
	23.468749999999996	24.5		37.387499999999996	37.2
	23.68125	25.3		37.237500000000004	38.7
	23.343750000000004	24.6		37.4125	38.7
	23.581250000000004	26.7		37.912499999999994	40
	23.6375	25.9		37.9875	39.5
	23.906249999999996	23.8		38.59375000000001	39.1
	24.225	22.3		38.118750000000006	39.6
	23.631249999999994	22		37.85625	39.4
	23.725000000000005	22.5		37.38125	38.6
	23.568750000000005	21.2		37.481249999999996	37.3
	23.150000000000002	20.2		36.87500000000001	38
	23.043749999999996	21.7		36.756249999999994	38.1
	22.9375	21.4		37.2375	37.5
	22.81875	20.1		37.387499999999996	37.4
	22.774999999999995	20.8		37.15	38.2
	23.193749999999998	24.3		36.556250000000006	38.1
	23.325	23.8		36.081250000000004	38.9
	23.243749999999995	26.7		36.3875	39.3
	23.26875	25.8		36.462500000000006	40.3
	23.612500000000004	23.1		36.40625	40.5
	23.64375	24		36.025000000000006	40.4
	23.69375	24.8		35.3375	39.5
	23.775	23.3		35.4375	40.2
Mai	23.749999999999996	23.9		35.324999999999996	37.9
	23.875	22.6		34.9125	39.9
	23.825000000000003	24.8		35.85	39
	24.03125	24.7		35.8625	39.8
	23.974999999999998	23.6		35.36875	28.4
	23.48125	21.8		34.7375	31.4
	23.3125	23.3		34.45625	31.5
	23.325000000000003	23.4		34.7125	35.4
	23.456250000000004	24.4		34.9	36.4
	23.44375	23.8		34.73125	35.9
	23.29375	24.2		34.5	36
	22.968750000000004	24.7		34.487500000000004	35.2
	23.325000000000003	24.5		33.975	34.9
	23.31875	25		33.98125	34.7
	23.325000000000003	24.6		33.818749999999994	35.2
	23.6125	25.1		34.1375	35.5
	23.40625	24.9		34.1	34.6
	23.506249999999994	24.1		33.28125	37.6
	23.262500000000003	24.6		33.225	36.3
	23.431250000000002	24.4		32.337500000000006	33.5
	23.218750000000007	22.9		31.99375	33.2
	23.0875	23.2		31.931250000000002	33.2
	23.462500000000002	23.8		31.543749999999996	34.5
	23.43125	23.7		30.650000000000006	28.7
	23.16875	23.4		30.20625	27.6
	22.881249999999998	22.8		29.76875	26.3
	23.043750000000003	22.2		28.78125	30.5
	23.068749999999998	23		28.749999999999996	31.7
	22.768749999999997	23.6		28.281249999999993	31.9
	22.575000000000006	23.8		28.381249999999998	30.7
	22.4125	23.9		28.074999999999996	32.7
Jun.	22.39375	23.5		27.80625	34.5
	22.431250000000002	23		27.48125	35
	22.537499999999998	23.4		27.531250000000004	33.6
	22.512500000000003	22.7		27.612500000000008	34.1
	22.400000000000002	22.6		27.581249999999997	33.7
	22.21875	22.9		27.956250000000004	34.3
	22.3375	23.4		27.843750000000004	33.7
	22.375	23.3		27.912499999999998	32.7
	22.43125	22.5		27.5875	25.4
	22.40625	22		27.6125	25
	22.393749999999994	20.9		27.06875	27.2
	22.41875	21.6		27.18125	29.9
	22.443749999999998	22.6		27.075000000000003	30.3
	22.331249999999997	22.4		26.74375	29.1
	22.16875	22.7		27.250000000000004	28.6
	22.30625	22.7		26.843750000000007	26.2
	22.106250000000003	22.7		26.718750000000004	25.7
	22.13125	22.3		26.7	24.2
	22.23125	22.6		26.54375	25.4
	22.068749999999998	22.2		26.200000000000003	23.6
	22.1375	22		26.35	23.4
	22.099999999999998	22.4		26.58125	23.9
	22.156250000000004	22.6		26.443750000000005	25
	22.0875	22.5		25.89375	25.6
	21.96875	22.8		25.775	27.9
	21.6875	22.7		25.9375	28.1
	21.8125	22.6		26.018750000000004	28
	21.75	22.4		25.6875	28.3
	21.73125	22.2		26.2125	28.5
	21.9625	20.9		26.049999999999997	29.3
Jul.	21.974999999999998	21.1		26.125	28.8
	21.774999999999995	21.2		25.53125	28.3
	21.75	21.3		25.650000000000002	28
	21.7625	21.8		25.568750000000005	27.7
	21.76875	21.8		25.025	26
	21.875	21.5		25.050000000000004	26.2
	21.950000000000003	21.9		25.243750000000002	27.7
	21.825	21.4		25.224999999999998	24.5
	21.8125	20.9		25.000000000000004	25.5
	21.737499999999997	22.5		24.86875	27.3
	21.799999999999997	22.1		25.1625	26.6
	21.687500000000004	21.9		24.8625	27.6
	21.625000000000004	22.1		25.456249999999997	27
	21.631249999999998	22.4		25.006249999999998	26.9
	21.55	22.4		25.862499999999997	25.5
	21.7125	22.5		25.44375	25.2
	21.549999999999997	22		25.3375	23.8
	21.381249999999998	22		25.524999999999995	25.9
	21.46875	22.1		25.575	25.1
	21.525		21.6	25.406249999999996		27
	21.525		21.8	25.381249999999998		26.3
	21.475		21.7	25.29375		26.4
	21.46875		21.8	25.087500000000002		25.7
	21.5375		22	25.493750000000002		25.8
	21.45		22	25.281250000000004		26.6
	21.225		21.8	25.49375		26.5
	21.131249999999998		21.7	25.89375		26.9
	21.23125		21.8	26.06875		27.3
	21.143749999999997		21.2	26.031250000000004		26.3
	21.20625		21.2	25.7		25.8
	21.16875		21.1	26.112499999999997		26.1
Aug.	21.099999999999998		21.2	26.231250000000003		26.3
	21.112499999999997		21.1	26.45		26.3
	21.081249999999997		21.1	26.168750000000003		26.2
	21.0375		21	26.224999999999998		26.5
	21.124999999999996		21.2	26.50625		26.3
	21.193749999999998		21.3	26.29375		26.9
	21.081249999999997		21.1	26.875		26.8
	20.98125		21.1	27.11875		27.2
	20.9875		20.9	27.406250000000004		27.4
	21.006250000000005		21	27.24375		26.8
	20.9375		20.9	26.925		26.7
	20.7875		20.8	26.568749999999998		26.5
	20.843750000000004		20.9	26.668749999999996		26.3
	20.9		20.9	26.400000000000002		26.3
	20.906249999999996		20.9	26.325		26.3
	20.875		21	26.506250000000005		26.5
	20.893749999999997		21	26.9875		26.9
	21.025		20.9	26.8875		26.7
	21.056250000000002		21.1	26.90625		26.9
	20.925			26.85
	20.843750000000004			26.725
	20.918750000000003			26.537500000000005
	20.912500000000005			26.524999999999995
	20.931250000000002			26.606250000000003
	20.9625			26.53125
	20.943750000000005			27.25625
	20.925000000000004			27.456250000000004
	20.931250000000002			27.187500000000004
	20.85625			27.318749999999998
	20.63125			27.474999999999998
	20.69375			27.34375
Sep.	20.6875			27.074999999999996
	20.73125			26.668750000000003
	20.625			26.612499999999997
	20.54375			26.931250000000002
	20.3375			26.7375
	20.231250000000003			27.075000000000003
	20.237499999999997			27.312500000000004
	20.012500000000003			26.831250000000004
	20.218749999999996			27.631250000000005
	20.45			27.875000000000004
	20.6125			28.475
	20.54375			28.350000000000005
	20.618750000000002			28.15
	20.64375			28.0125
	20.75			28.73125
	20.9375			29.068749999999994
	20.9625			29.1125
	20.9625			29.068749999999998
	21.2625			28.7375
	21.200000000000003			28.78125
	21.03125			29.337499999999995
	20.724999999999998			28.975
	20.89375			29.35625
	20.85			29.35625
	21.03125			29.437499999999993
	21.043750000000003			28.987499999999997
	20.98125			29.53125
	20.931250000000002			29.306249999999995
	20.99375			29.63125
	20.8625			30.05625
Okt.	20.99375			29.693749999999998
	21.056250000000002			29.375
	21.231250000000003			29.512499999999996
	20.775			29.406249999999996
	20.793749999999996			29.7125
	20.63125			29.7375
	20.962500000000002			29.725
	21.175			29.5875
	20.775			29.768750000000004
	20.6125			29.25625
	20.387500000000003			28.937499999999996
	20.293750000000003			28.843749999999996
	19.825			28.974999999999998
	19.799999999999997			29.3375
	19.931249999999995			29.475
	19.71875			29.437500000000004
	19.6375			29.181250000000002
	19.750000000000004			29.48125
	20.18125			29.218750000000004
	20.3875			29.181250000000002
	20.131249999999994			29.831249999999997
	20.087500000000002			29.887499999999996
	20.4			29.806250000000006
	19.9			29.743750000000002
	19.48125			29.556250000000002
	19.19375			29.568749999999998
	18.962500000000002			29.71875
	19.0375			29.556250000000002
	18.925			29.724999999999998
	19.06875			29.656250000000004
	19.081249999999997			29.3
Nov.	19.437499999999996			29.456249999999997
	19.1375			29.525000000000002
	18.96875			29.55625
	19.19375			29.787499999999998
	19.199999999999996			29.375
	18.99375			29.381249999999998
	18.650000000000002			29.6
	19.025			29.6125
	19.549999999999997			29.868750000000002
	20.025			29.737499999999997
	19.587499999999995			29.775000000000002
	19.3375			29.925
	18.831249999999997			29.500000000000004
	18.481249999999996			29.112499999999997
	18.3375			29.187499999999996
	18.65			29.393749999999997
	18.762500000000003			29.825
	18.99375			29.656249999999996
	19.681250000000002			29.31875
	19.849999999999998			29.406249999999996
	19.4875			29.556249999999995
	18.956249999999997			29.5625
	18.78125			29.662499999999998
	18.54375			29.9
	18.34375			29.825000000000006
	18.687500000000004			29.79375
	18.768750000000004			29.6
	17.89375			29.112500000000004
	17.925			29.40625
	18.05625			29.51875
Dez.	18.30625			29.29375
	18.14375			29.55
	17.924999999999997			29.243750000000006
	17.5375			28.931249999999995
	17.131249999999998			28.806250000000002
	16.825000000000006			28.843750000000004
	16.9125			29.493750000000002
	16.818749999999998			29.700000000000003
	16.950000000000003			29.662499999999998
	16.94375			29.650000000000002
	17.349999999999998			29.912499999999998
	17.599999999999998			30.06875
	17.6125			29.887500000000003
	17.056250000000002			29.774999999999995
	17.131249999999998			29.662499999999998
	17.38125			30.012500000000003
	17.59333333333333			29.84

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

41°C

Höchste Temperatur

14 Apr. 26

15°C

Niedrigste Temperatur

1 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatApril38.01°C

Kältester MonatJanuar17.04°C

Nassester MonatJuni2.93mm

Windigster MonatJuli31.15km/h

Kolhapur 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 Kolhapur?

April ist historisch gesehen der heißeste Monat in Kolhapur, mit durchschnittlichen Höchsttemperaturen von etwa 37°C. Während der stärksten Hitzewellen wurden Temperaturen von 42°C am 2016-04-27 erreicht.

2. Was ist der historisch kälteste Monat in Kolhapur?

Januar ist der kälteste Monat in Kolhapur, mit durchschnittlichen Tiefstwerten von etwa 18°C. Der Allzeit-Rekordtiefstwert von 12°C wurde am 2025-12-20 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Kolhapur beträgt etwa 1114.7mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Kolhapur verzeichnet historisch gesehen etwa 173 Regentage pro Jahr. Juli hat die meisten Regentage mit durchschnittlich 30.7 Tagen.

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

Die höchste jemals in Kolhapur gemessene Temperatur beträgt 42°C am 2016-04-27.

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

Die niedrigste jemals in Kolhapur gemessene Temperatur beträgt 12°C am 2025-12-20.

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

Kolhapur erlebt seine stärksten Winde während Juli. Der historische Böenrekord von 42.8 km/h wurde am 2026-07-24 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Kolhapur im August etwa 87.3% und fällt im Februar auf etwa 36.7%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Kolhapur 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

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

Kolhapur 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

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