Linz Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Linz Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.34999999999999987	-4.8		4.8	0.9
	-1.4000000000000001	-1.7		3.79375	2.2
	-1.1562500000000002	-6.4		3.05	-1
	-0.8874999999999998	-8		3.1312500000000005	-1.3
	-1.49375	-9.2		3.4125	-3.9
	-1.7937500000000004	-9.1		2.5875000000000004	-3.8
	-1.81875	-9.9		2.5312500000000004	-3.8
	-1.19375	-11		2.6062499999999997	-1.5
	-1.00625	-4.2		3.7437500000000004	-0.2
	-1.5187499999999998	-3.3		3.3000000000000003	1.2
	-3.06875	-12.8		2.3000000000000003	-4.8
	-2.125	-13.7		2.66875	-2.1
	-1.8187499999999999	-2.2		2.5999999999999996	2.2
	-2.1999999999999997	-0.9		2.6625000000000005	1.6
Jan.	-2.8812499999999996	-1.3		2.1999999999999997	1.9
	-2.9437499999999996	-1.2		2.2937500000000006	2.2
	-2.9875	0.2		2.0625	3.5
	-3.41875	-2.3		2.5	4.4
	-4.0687500000000005	-3.8		1.9562500000000003	3
	-3.93125	-5		1.61875	3.1
	-4.4437500000000005	-5.5		0.7812499999999999	2.9
	-4.23125	-10.2		1.775	-0.9
	-3.9187499999999997	-10.2		1.775	-0.7
	-3.0749999999999997	-8		1.8625	0.4
	-3.0875000000000004	-6.3		1.95625	2.3
	-3.86875	-2.2		1.9562500000000003	3.6
	-3.8625000000000007	-4.1		2.425	4.6
	-2.85	-2.8		3.0125	3
	-2.625	0.1		3.3437499999999996	1.5
	-2.8124999999999996	-1.9		3.79375	3
	-2.3875	-1.7		2.96875	3.1
	-1.925	-2.9		3.84375	1.8
	-1.7999999999999998	-4.6		3.1875000000000004	2.1
	-1.6624999999999992	-3.7		3.575	3.4
	-1.9812499999999997	-2.3		3.68125	3.2
	-1.9749999999999994	-0.7		3.7374999999999994	2.5
	-2.2812499999999996	0.2		3.70625	4.6
	-2.8000000000000007	1.4		3.7687500000000003	5.1
	-2.84375	2.3		3.5124999999999997	5.4
	-2.7624999999999997	2.9		3.9375000000000004	5
	-2.975	-1.1		4.28125	8.2
	-3.2125	-1.4		2.7375	5.5
	-3.2250000000000005	0.6		2.7375000000000003	8.5
	-3.4874999999999994	2.6		3.49375	8.7
	-3.0187500000000003	1.2		4.325	5.8
Feb.	-2.6	-4.8		5.19375	1.3
	-1.4875000000000003	-2.8		5.78125	5.4
	-0.4437499999999998	0.8		6.606249999999999	4.3
	-0.0625	-0.7		6.306250000000001	3.2
	-0.42500000000000027	-2.2		5.6875	3.8
	-1.0562500000000001	-4.2		5.7562500000000005	1.8
	-0.6999999999999998	-1.7		6.48125	5.6
	-0.5625000000000001	1.2		6.875	6.6
	-0.2812499999999999	7.1		7.237499999999999	9.3
	-0.5000000000000001	2.6		7.499999999999999	8.1
	-0.5125	0		6.912500000000001	11.1
	-1.1250000000000002	0.7		5.71875	11.5
	-1.2874999999999999	2		6.4625	14.2
	-1.125	2.1		6.59375	13.4
	-0.7937499999999998	4.4		7.000000000000001	8.5
	-0.16250000000000003	4		7.0875	10.6
	0.10625000000000012	1.9		8.75	12.2
	-0.15625000000000014	1.9		8.23125	12.8
	-0.5875000000000001	2.2		6.887499999999999	14.2
	-0.39375	1.4		7.5125	14
	-0.2875000000000001	2.2		7.90625	14.4
	-0.675	2.5		7.725	14.3
	-0.04375000000000007	3.8		8.58125	13.5
	0.875	3.3		8.9125	14.6
	0.6312500000000001	3.4		8.768749999999999	15.3
	1.34375	3.7		8.643749999999999	14.1
	1.6687500000000002	1.8		9.875	14.8
	1.8	2.8		8.16875	14.1
Mar.	1.44375	3.4		8.65	7.9
	1.725	2.7		9.09375	10.9
	1.6375	-0.2		11.3	8.3
	1.5374999999999996	0		9.6375	9.6
	1.6249999999999998	0		9.937500000000002	12
	1.675	1.1		10.55625	12.3
	1.7500000000000004	2.9		11.56875	7.1
	2.0874999999999995	2.3		11.26875	13.2
	1.6124999999999998	-0.1		11.343750000000002	13.2
	1.9062500000000004	3		12.125	13.3
	1.89375	1.8		11.14375	15.5
	1.9124999999999999	1.1		10.59375	7.4
	1.7062499999999998	1		9.862499999999999	7.8
	2.14375	-2		12.581249999999997	10.6
	3.9062499999999996	-0.3		12.924999999999999	5.9
	3.9625	1.4		14.299999999999999	8.1
	4.1625000000000005	0.6		12.587499999999999	5.2
	3.7624999999999997	-0.7		12.350000000000003	8
	2.65625	-1.8		11.575000000000001	6
	2.8124999999999996	2.1		12.65625	13.3
	2.7562499999999996	2.9		13.15625	9.2
	3.6062499999999997	3.3		12.71875	21.8
	3.51875	5.4		11.981250000000001	15
	3.6999999999999997	2.3		13.343749999999998	17.2
	4.44375	-0.1		13.193750000000001	14.3
	4.0062500000000005	-0.5		13.900000000000002	12.4
	3.99375	-0.2		14.1875	4.6
	4.2124999999999995	1		13.4875	13.9
	4.28125	2.4		14.456250000000004	16.7
	4.775	4.6		13.40625	19.8
	4.79375	7.4		13.793750000000001	11.7
Apr.	4.975	8.6		13.81875	14.6
	4.66875	7.7		13.787499999999998	16.1
	4.325	5.2		13.90625	19.4
	4.362500000000001	6.1		13.193750000000001	19.1
	4.19375	7.1		13.50625	17.9
	4.8999999999999995	1.8		14.35625	14.3
	5.1	0.3		15.875000000000002	10.1
	5.9437500000000005	-0.8		15.91875	14.3
	5.99375	0.1		15.6125	16.4
	6.00625	1.1		15.887500000000001	18.6
	6.25625	2.3		16.33125	20.3
	5.75	2.9		15.2625	18.2
	5.40625	1.8		15.743749999999999	18.7
	5.825	4.9		16.01875	17.8
	6.724999999999999	5.4		17.525	15.7
	7.7875	-1		17.8125	13.7
	8.0625	0.2		18.006249999999998	18.3
	8.41875	4.2		17.381249999999998	22.6
	8.3875	5.9		16.018749999999997	25.7
	7.41875	8.2		15.8125	25.2
	6.89375	10.5		15.268749999999999	25.1
	6.78125	9		16.74375	24.1
	7.41875	6.4		16.550000000000004	17.4
	7.162499999999999	4.4		16.837500000000002	20.4
	7.718749999999999	5.7		18	20.4
	8.712499999999999	5.3		19.025	22.6
	8.85	10.1		19.256249999999998	17.5
	9.081249999999999	1.8		18.393749999999997	11.1
	8.68125	-0.6		16.61875	14.9
	8.05625	6.2		15.875000000000004	13.5
May	7.824999999999999	6.7		15.500000000000002	13.1
	7.143749999999999	5.3		15.062499999999998	12
	8.1875	1.7		15.343750000000002	16.3
	8.425	2		16.693749999999998	18.8
	7.9312499999999995	5.4		19.525000000000002	19.6
	9.01875	7.8		18.649999999999995	17
	9.75625	7.7		18.956250000000004	21.1
	10.681250000000002	7.6		19.7	23.1
	10.306249999999999	9.3		19.0125	25
	10.0375	11.3		18.818749999999998	27.7
	9.437500000000002	12.8		17.281250000000004	27.9
	9.687499999999998	12.4		19.3125	29
	9.4875	13.2		18.212500000000002	28
	9.393749999999999	8.3		18.687499999999996	23.5
	9.75	7.5		18.587500000000002	24.7
	9.799999999999999	10.1		19.2125	25.4
	10.1125	10.6		19.256249999999998	26.8
	10.931250000000002	11.1		19.30625	19.9
	11.531250000000004	8.8		19.343750000000004	25.2
	11.6125	9.3		21.1125	18
	12.031250000000002	7.3		22.474999999999998	23.1
	12.63125	9.5		22.137499999999996	18.4
	12.162500000000001	7.2		22.231250000000003	23.3
	12.625000000000002	9.5		22.15625	24
	12.412499999999998	9.5		22.475	26.4
	12.74375	12.6		22.806250000000002	21.5
	13.475	10		22.268750000000004	12.7
	12.98125	6.2		22.287500000000005	17.2
	13.287500000000001	5.1		23.150000000000002	11.9
	12.3125	13		21.468749999999996	23.9
	12.175	11.7		21.331250000000004	18.8
Jun.	12.256250000000001	7.3		22.262500000000003	21.7
	13.0375	6.5		20.9375	22.5
	12.968749999999998	11.5		22.7	25.4
	13.325	12.8		23.70625	27.2
	13.8	14.6		24.39375	31.3
	14.343749999999998	16.2		23.775000000000002	30.6
	14.25625	14.6		23.40625	31
	13.887499999999998	14		24.1375	29.7
	13.8125	13.8		22.493750000000002	28.3
	13.36875	15		21.60625	29.5
	13.10625	15.5		22.76875	30.8
	13.29375	16.4		23.837499999999995	32.1
	14.112500000000002	17.2		23.881249999999998	34.5
	13.593750000000002	17.7		23.51875	34.8
	14.125000000000002	15.4		24.450000000000003	32.5
	14.299999999999999	15.1		24.3625	30.6
	13.625	15.1		23.75625	25.1
	13.731250000000003	12.5		23.856250000000003	25.5
	13.96875	12.3		24.45625	24.3
	14.300000000000002	8.8		23.631249999999998	24.6
	14.73125	10.9		24.456249999999997	23.7
	14.649999999999997	12.3		25.6375	21.2
	15.012500000000003	11.7		24.4375	28.6
	13.85	14.1		22.518749999999997	21
	13.349999999999998	10.9		23.362499999999997	24.6
	14.231250000000001	12		24.0625	27.2
	14.218750000000002	12.1		24.087500000000002	26.6
	14.46875	11.7		24.46875	25.5
	14.581249999999999	12.5		23.393749999999997	29.6
	14.293750000000003	14.2		23.10625	30
Jul.	14.025	14.4		23.087500000000002	26
	14.11875	14.7		23.737499999999997	29.1
	14.375	16.2		24.112499999999997	28.3
	15.0375	13.6		23.89375	28.1
	14.924999999999999	11.8		25.59375	23.1
	15.85625	8.7		26.424999999999997	24.8
	15.218750000000002	8.3		24.375	24.4
	15.381250000000001	9.7		24.93125	24
	15.575000000000001	9		24.787499999999998	22.5
	14.950000000000001	6.1		24.5125	23.6
	15.375	8.1		24.156250000000004	29
	14.74375	12.5		22.975	27.6
	14.80625	12.6		24.006249999999998	24.4
	15.33125	12.9		24.9625	28.3
	15.231250000000001	12.7		24.400000000000002	33.5
	15.1	15.2		22.99375	36.6
	15.012499999999998	15.5		23.693749999999998	37.9
	15.337499999999999	16		25.231250000000003	29.6
	15.456249999999997	17.5		25.231250000000003	30.7
	15.8	15.5		25.124999999999996	36.8
	15.893749999999997	16.7		24.575	38
	15.856249999999998	18.5		24.2375	35
	15.131250000000001	17.7		23.2625	32.2
	14.7125	17.2		24.1375	29.4
	15.1875		13.4	24.875		28.9
	15.55		13.2	25.243750000000002		31.6
	14.737499999999999		16	24.774999999999995		34.3
	14.53125		16.3	23.86875		29.8
	14.549999999999999		12.8	24.1375		30.2
	15.031250000000002		14.3	24.500000000000004		31.3
	15.79375		14.5	25.30625		33.4
Aug.	15.58125		16.6	25.64375		35.5
	14.95		14.9	23.60625		23.9
	14.412499999999998		14.7	23.9125		23.7
	15.51875		15.2	24.937500000000004		24.8
	14.812499999999998		15	23.637500000000003		23.6
	14.85		14.9	23.106249999999996		24.3
	14.318749999999998		14.7	24.081249999999997		23.8
	15.03125		14.6	24.7375		24.1
	14.837499999999999		14.9	24.099999999999998		23.9
	14.849999999999998		14.8	23.618750000000006		24
	14.525		14.3	23.4375		23.2
	14.30625		14.4	23.893750000000004		23.8
	13.649999999999997		13.7	22.775000000000002		23.2
	13.5875		13.8	22.28125		23.3
	13.431249999999999		13.8	23.018750000000004		22.2
	13.84375		13.4	21.98125		22
	13.61875		13.1	22.637500000000003		21.9
	12.950000000000001		12.8	20.65		20.9
	12.068750000000001		12.4	19.30625		19.9
	12.681250000000002		13	20.8875		21.2
	13.0375		13.1	22.075000000000003		22.1
	13.075000000000001		12.7	21.75		21.1
	12.61875		12.3	21.706249999999997		20.1
	12.562500000000002		12	20.0375		20.7
	12.306250000000002			21.293750000000003
	12.25625			21.14375
	11.625			21.118750000000002
	12.337499999999999			20.9875
	12.068750000000001			20.524999999999995
	11.74375			20.5125
	11.69375			18.59375
Sep.	11.381250000000001			20.006250000000005
	11.93125			19.206249999999997
	11.049999999999999			18.837500000000002
	10.3125			18.674999999999997
	10.34375			17.275
	9.68125			17.5125
	9.875			18.575
	8.600000000000001			17.106250000000003
	9.0625			16.731250000000003
	8.95625			16.95625
	9.375000000000002			17.200000000000003
	9.46875			17.799999999999997
	9.756249999999998			17.54375
	9.143749999999999			16.9375
	8.575000000000001			15.837499999999999
	8.41875			15.825000000000001
	8.206249999999999			16.00625
	7.89375			16.41875
	7.950000000000002			16.1625
	7.312500000000001			16.10625
	7.9625			15.74375
	8.23125			14.862499999999999
	8.087499999999999			14.237499999999999
	7.937500000000001			14.337499999999999
	7.58125			14.668749999999998
	7.131249999999999			15.568750000000001
	7.6000000000000005			15.062500000000002
	6.587499999999999			14.55625
	6.412500000000001			14.431250000000002
	6.406249999999999			13.906249999999998
Oct.	6.324999999999999			13.85625
	6.7875000000000005			13.86875
	6.299999999999999			13.400000000000002
	6.062499999999999			14.11875
	6.362500000000001			13.9
	6.90625			14.681249999999999
	6.5874999999999995			13.756249999999996
	5.3875			13.0375
	6.0875			13.84375
	6.499999999999999			13.125
	6.206250000000002			13.612499999999999
	6.587500000000001			13.325000000000001
	6.225			12.493750000000002
	5.38125			12.0625
	4.8875			12.375
	5.19375			11.8125
	4.9375			12.625
	4.96875			12.8875
	5.062499999999999			12.35
	4.875			11.881249999999998
	4.88125			12.0625
	4.8125			11.450000000000001
	4.6499999999999995			10.65
	4.71875			10.887500000000001
	4.1375			10.075
	3.2124999999999995			9.806249999999999
	3.41875			9.8125
	2.9875			8.83125
	2.9687500000000004			9.1875
	3.5312499999999996			9
	2.95625			8.90625
Nov.	3.01875			9.29375
	2.23125			8.31875
	2.00625			7.643749999999999
	1.9937499999999995			7.762499999999999
	1.8249999999999997			7.29375
	1.9937500000000001			7.01875
	0.9750000000000002			6.668750000000001
	0.6625			6.1812499999999995
	0.6500000000000001			6.081250000000001
	0.6125			6.325
	0.2625000000000001			5.24375
	-0.18750000000000006			4.15625
	-0.6687499999999998			4.35
	-0.9874999999999999			4.0874999999999995
	-1.04375			4.075
	-1.0625			3.3375
	-0.85625			3.40625
	-1.4625000000000001			3.04375
	-2.4			2.6812500000000004
	-2.00625			3.2874999999999996
	-1.9812499999999997			3.54375
	-0.54375			3.58125
	-0.11875000000000002			4.700000000000001
	-0.59375			4.15625
	-0.8500000000000002			3.5812500000000003
	-1.48125			3.2187500000000004
	-0.7812500000000001			4.012499999999999
	-0.7874999999999999			3.6500000000000004
	-1.6437500000000003			2.95
	-1.85625			3.4250000000000003
Dec.	-0.8875000000000003			3.2624999999999997
	-1.2249999999999999			3.6437499999999994
	-0.94375			3.8625000000000003
	-1.0500000000000003			3.94375
	-1.3			4.062499999999999
	-0.9625			4.24375
	-0.8312500000000002			3.9437499999999996
	-0.16874999999999996			4.325
	0.8249999999999998			5.28125
	1.6624999999999999			6.14375
	1.1374999999999997			5.68125
	-0.08749999999999991			4.58125
	-0.8500000000000001			4.375
	-2.11875			3.4124999999999996
	-1.8875000000000002			2.6187500000000004
	-2.45			3.6562500000000004
	-0.82			4.500000000000001

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

38°C

Highest Temp

4 Aug. 26

-14°C

Lowest Temp

12 Jan. 26

Seasonal Breakdown

Hottest MonthAugust33.1°C

Coldest MonthJanuary-5.27°C

Wettest MonthAugust4.75mm

Windiest MonthJuly18.78km/h

Linz 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 Linz historically?

August is historically Linz's hottest month, with average maximum temperatures around 25°C. During peak heatwave events, the highest recorded temperatures have reached 38°C on 2026-08-04.

2. What is the coldest month in Linz historically?

January is Linz's coldest month, with average minimum temperatures around -3°C. The all-time record low of -17°C was recorded on 2012-02-11.

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

Linz's average annual rainfall is approximately 840.7mm, based on records spanning 17 years.

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

Linz historically records approximately 199.1 rainy days per year. May has the highest number of rain days at an average of 20.5 days.

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

The all-time highest temperature recorded in Linz is 38°C on 2026-08-04.

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

The all-time lowest temperature recorded in Linz is -17°C on 2012-02-11.

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

Linz experiences its strongest winds during March. The historic gust record of 46.1 kph was recorded on 2017-10-29.

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

Usually, Linz's humidity peaks in January at around 88.6% and drops to its lowest in April at approximately 75.1%.

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Linz Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Linz 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

Linz Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Linz 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

Linz Historic Weather Records
Analyse hottest, coldest, windiest & wettest days