Buenos Aires Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Buenos Aires Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	20.243749999999995	22.2		28.437499999999996	28.6
	19.162499999999998	20.2		29.375	27.8
	18.95625	14.6		29.14375	26
	19.2625	16.2		30	27.9
	19.581250000000004	17.1		30.193749999999998	30.7
	19.775000000000002	19.9		29.981250000000003	34.2
	20.2125	21.5		30.25	30.7
	20.262500000000003	20		30.875	26.4
	20.981249999999996	19.9		31.18125	25.7
	21.15625	19.4		31.09375	27.3
	20.43125	16.9		30.318749999999998	31
	19.999999999999996	19.1		29.51875	35.6
	19.868750000000002	24.6		29.5125	33.8
	20.30625	23.6		30.487500000000004	35.9
Jan.	20.9375	23.7		30.693750000000005	32.9
	20.8875	20.4		30.89375	28.4
	20.699999999999996	21.7		29.84375	34.6
	20.31875	19.5		29.40625	28.3
	21.187499999999996	16.5		29.156249999999996	24.3
	20.94375	18.3		29.987499999999997	29.9
	21.256249999999998	19.1		30.418749999999996	32.4
	21.6875	21		31.612500000000004	33.5
	22.224999999999994	21.4		30.94375	33.5
	21.556250000000002	22.7		31.718750000000004	35.3
	20.131250000000005	24.4		29.33125	35.8
	20.625000000000004	24.9		30.162499999999998	37.1
	20.7	24.3		29.35	35.7
	20.7375	23.7		30.0625	32.1
	21.018749999999997	21.5		30.249999999999996	32.1
	21.025000000000002	21.5		30.849999999999998	29.4
	20.95625	21.5		29.643750000000004	30.1
	20.956249999999997	21.6		30.19375	29
	21.26875	23.9		29.950000000000003	35.4
	21.11875	26.2		29.268749999999994	33.8
	20.5125	24.4		29.156249999999996	29.5
	20.31875	23.7		28.693749999999998	29.8
	20.63125	18.7		29.0375	26.9
	21.3125	20.4		30.2125	30.4
	21.45	21.9		29.4125	30
	20.631249999999998	23.1		28.775000000000002	30.4
	20.850000000000005	23.7		29.787499999999998	33.1
	19.98125	21.5		29.30625	30.4
	19.99375	22.2		28.168749999999996	26
	19.237499999999997	18.7		27.79375	24.7
	19.193749999999994	18.4		27.943749999999998	26.8
Feb.	19.86875	19.6		29.38125	24.6
	20.718749999999996	21.7		29.556250000000006	27
	20.825	23.2		28.70625	31
	19.900000000000002	22.4		28.51875	29.3
	19.962500000000002	22.5		28.131249999999998	30.5
	19.64375	21.9		27.499999999999996	26.8
	20.3125	20.3		28.193749999999998	26.5
	20.08125	20.8		28.812500000000004	27.6
	19.962499999999995	22.1		27.525000000000002	27
	19.875000000000004	21.6		27.6	30.3
	18.275	16.6		26.33125	25
	18.400000000000002	18.7		25.806250000000002	24.6
	18.3125	19.9		27.487499999999997	26.9
	19.23125	20.5		28.062500000000004	28.2
	19.93125	21.7		28.675000000000004	28.9
	20.3375	20.6		28.349999999999998	28.8
	20.50625	22.4		27.4875	27.4
	20.03125	22.7		27.662499999999998	28.5
	19.618750000000002	20.3		27.95	24.1
	19.1125	21.9		28.4125	25.8
	19.081250000000004	20.3		28.699999999999996	23.1
	18.849999999999998	19		28.312500000000004	23.5
	19.025	19.2		27.65625	23.7
	18.937500000000004	18.7		26.987500000000004	24.3
	18.06875	19.2		26.60625	24.4
	17.662499999999998	19.7		26.099999999999998	25.2
	17.20625	19.5		26.156250000000004	25.4
	17.049999999999997	20.5		26.312499999999996	26.3
Mar.	17.256250000000005	21		25.175	30.5
	17.125	21.6		25.268749999999997	25.5
	18.306250000000002	19.3		26.08125	25.6
	17.26875	18.8		25.19375	23.7
	17.11875	19.5		25.675	26.4
	17.025000000000002	20.5		24.793749999999996	27.3
	16.29375	16.4		24.193749999999998	24.1
	16.10625	14.4		23.749999999999996	21
	15.906249999999998	17.3		24.374999999999996	23.9
	15.937500000000002	14.5		24.162499999999998	21.5
	16.1	16.5		23.418749999999996	22.5
	16.049999999999997	17.9		23.406249999999996	23.1
	16.1125	20.7		23.993750000000002	24.7
	16.674999999999997	20.9		24.9375	24.8
	16.775	21.6		25.475	25.2
	16.675	21.6		25.775000000000002	25.4
	16.756249999999998	21.4		25.46875	26.8
	16.587500000000002	21.8		24.293750000000003	27
	17.23125	20.9		24.53125	25.3
	16.450000000000003	20.8		23.818749999999994	27
	14.868749999999999	14.8		23.268750000000004	18.9
	15.61875	13.1		24.025000000000002	18.5
	15.068749999999998	14.8		23.212500000000002	17.8
	15.187499999999998	16.3		23.4625	17.6
	15.643749999999999	15.7		23.75625	20.1
	16.212500000000002	13.3		23.725	19.2
	16.243750000000002	13.6		24.149999999999995	19.7
	15.893749999999997	15.1		22.90625	20.8
	14.36875	16.8		22.04375	22.8
	13.175	17.7		21.73125	21.4
	13.456249999999999	18.7		20.906250000000004	23.3
Apr.	14.49375	19.3		21.08125	20.4
	14.45	17.7		22.031249999999996	21.6
	14.125	16.4		21.875	22.8
	14.19375	17.4		22.3	24.1
	14.506249999999998	17.3		23.28125	23.5
	14.7875	18.5		22.231250000000003	20.4
	14.156250000000004	16		23	20
	13.862500000000002	12.5		21.543750000000003	19.2
	13.324999999999998	13.5		21.0625	19.6
	14.362499999999999	14.8		21.693749999999998	19.4
	14.562500000000002	15.5		21.4875	21.8
	14.13125	9.8		20.5875	16.5
	13.831249999999999	8.9		21.0875	15.5
	13.081249999999999	9.7		20.806250000000002	18.3
	12.7375	12.3		20.225	21.8
	12.5125	14.1		19.95625	20.1
	11.868749999999999	15.8		20.25625	20.7
	12.6375	11.3		20.450000000000003	15.1
	11.99375	9.4		19.743750000000002	16.4
	12.16875	11.9		19.700000000000003	20
	12.80625	14.6		20.200000000000003	19.6
	12.9125	17.9		19.718750000000004	22.8
	12.8375	11.2		19.15	18.9
	12.75625	8.3		19.4875	12
	11.956249999999999	7.9		19.4625	11.3
	12.518749999999997	6.5		19.3125	13.9
	12.175	8		18.49375	16.2
	10.9875	10.5		18.6875	18.9
	11.368749999999999	9.4		18.906249999999996	14.4
	11.737499999999999	10.3		18.9625	15.4
May	11.068750000000001	10.1		18.29375	15.9
	10.943750000000001	11.3		17.925	14.8
	11.587500000000002	8.7		18.25	13
	11.2625	7.6		18.181250000000002	14.4
	11.35625	8.3		16.875	15.9
	10.96875	9		17.131249999999998	13.6
	12.443750000000001	8		17.868750000000002	11.7
	11.48125	8.1		17.631249999999998	11.8
	11.29375	10.3		17.04375	13.2
	10.71875	10.9		16.924999999999997	14.9
	10.35625	12.4		16.95	15.5
	10.631250000000001	11		16.925	15.6
	10.643749999999999	11.4		16.575000000000003	15.2
	11.05625	11.7		16.474999999999998	15
	10.275	12.3		16.00625	14.2
	9.84375	10.4		15.9375	15.1
	9.5625	11.2		15.7625	16.2
	9.3375	11.5		15.875	13.8
	8.818750000000001	10.7		16.25	13.9
	9.28125	11.8		16.031250000000004	15.5
	8.9875	13.6		15.731250000000001	16.2
	9.1625	14.4		15.137500000000001	16.9
	8.80625	14.5		15.43125	16.9
	9.11875	13		14.79375	14.8
	9.049999999999999	11.5		15.462499999999999	12.1
	9.56875	10.6		15.599999999999998	13.1
	9.36875	12.8		16.23125	13.8
	8.706249999999999	11.6		15.312500000000002	15.6
	8.475000000000001	11		16.0875	15.3
	9.668750000000001	9.1		16.09375	15
	9.318749999999998	5.6		15.581249999999997	9.5
Jun.	8.28125	5.8		15.187500000000002	12.6
	9.14375	8.7		15.174999999999999	16.3
	8.4	8.9		14.787500000000001	12.7
	7.624999999999999	10.1		14.09375	12.3
	7.5874999999999995	9.7		14.312499999999998	12.9
	7.14375	7.9		14.4125	13.2
	7.45625	9.3		14.11875	13
	8.775	8.8		14.906250000000002	11.2
	9.087499999999999	6		14.85	10.7
	8.49375	5.8		14.65625	10.1
	8.35	7.4		14.58125	11.9
	7.93125	7.5		14.01875	12.1
	8.1125	9.4		14.425	13.2
	8.35	8.7		14.543750000000001	12.5
	8.225	7.7		14.3875	13.5
	7.1	8.4		13.5375	11.6
	7.75625	8.2		13.999999999999998	12.7
	8.506250000000001	4.4		15.1375	8.2
	7.7375	3.1		14.625000000000004	7.7
	8.668750000000001	5.6		14.418749999999998	9.1
	8.16875	6.1		13.64375	9.1
	7.38125	5.8		12.98125	10.3
	6.581249999999999	5.4		13.450000000000001	13.9
	7.0375	8.8		13.837500000000002	14.6
	8.31875	10.9		14.63125	15.3
	8.218750000000002	9.7		14.50625	12.7
	8.587500000000002	9.5		14.450000000000001	13.7
	8.262500000000001	7.5		14.262499999999998	11.9
	7.968749999999999	7		14.575	12.3
	7.41875	8.6		13.93125	14.5
Jul.	7.068749999999999	11.3		13.924999999999999	15.5
	5.90625	14		13.156250000000002	18.6
	6.050000000000001	16.3		12.943749999999998	22.2
	6.4	12.6		13.643749999999999	17.4
	7.1499999999999995	9.6		14.53125	12.1
	7.812499999999998	9.8		15.13125	11.8
	7.781250000000001	10.6		15.425	11.8
	8.55	9.1		15.1	11.7
	7.718749999999999	9.1		14.193750000000001	12.9
	7.643749999999999	11.8		13.974999999999998	14.8
	9.075	11.2		14.06875	14.6
	8.4875	12.3		14.50625	16.1
	8.637500000000001	12		15.412500000000003	17.7
	8.7	11.7		15.162500000000001	15.3
	7.7625	9.7		15.31875	13.9
	7.287500000000001	10.7		14.70625	15.3
	8.00625	13.4		15.350000000000001	19.3
	8.568750000000001	12.9		15.21875	18.2
	9.35	11.8		15.88125	15.7
	9.00625	12.7		15.6	14.6
	8.15625	11.6		15.268749999999997	14.5
	8.78125	13.3		16.1375	14.7
	10.212499999999999	8.6		17.749999999999996	14.3
	10.275	6.1		16.806250000000002	12.2
	8.575000000000001	7.5		15.006250000000001	11.8
	8.7625	6.2		14.375	12.1
	8.10625	5.3		15.087499999999999	10.4
	8.81875	7.6		16.1125	10.5
	8.65625	8.7		15.06875	10.8
	7.01875	7.5		13.9	10.5
	7.5375	10.7		15.031249999999998	13
Aug.	7.65625	12.3		15.74375	13.6
	9.112499999999999		13.1	16.66875		17.3
	9.675		10	16.6125		13.5
	10.00625		9.5	17.39375		12.5
	9.143749999999999		8.8	15.862499999999999		13.8
	8.037500000000001		8	15.2375		16.1
	7.824999999999999		9.8	15.600000000000001		13.8
	8.8625		6.6	15.98125		11.4
	9.00625		5.6	15.975000000000001		10.4
	9.21875		9.6	16.59375		16.2
	8.587499999999999		9.6	15.874999999999998		15.4
	8.899999999999999		10.1	16.25625		16.4
	9.1		9.9	16.55		16.1
	9.30625		10.6	17.89375		17.5
	9.76875		11.1	17.993750000000002		18
	10.118749999999999		10.6	17.606250000000003		17.5
	10.206249999999999		10.7	17.075		16.9
	10.1125		10.7	16.612499999999997		15.7
	10.1		10.5	16.025		15.8
	8.86875		9.3	16.306250000000002		15.6
	8.23125		9	15.324999999999998		15.1
	8.356250000000001		9.1	15.975000000000001		15
	9.293750000000003		10.4	16.71875		16.7
	10.68125		11.5	17.093750000000004		17.1
	10.99375		11.3	18.2125		17.4
	10.88125		11.3	18.15		17.6
	11.225000000000001		11.3	18.84375		18.1
	10.512500000000001		10.7	17.9875		17.3
	10.36875		10.6	18.6375		17.5
	9.9875		10.7	17.15		16.6
	10.231250000000001		10.7	17.98125		17.4
Sep.	10.2875		11	18.76875		18.4
	10.693749999999998			18.762500000000003
	10.424999999999999			18.98125
	10.89375			19.124999999999996
	11.256249999999998			19.14375
	10.949999999999998			18.587500000000002
	10.25625			18.493750000000006
	10.8375			17.837500000000002
	10.61875			18.1375
	10.10625			18.731250000000003
	11.106250000000001			19.043750000000003
	11.1625			18.9125
	10.881250000000001			18.53125
	11.625			19.25625
	12.2375			19.75625
	12.062499999999998			19.43125
	11.09375			19.11875
	10.599999999999998			19.3125
	10.337499999999999			17.843750000000004
	10.85			19.43125
	11.106250000000001			19.943750000000005
	11.7125			20.131249999999998
	11.96875			20.68125
	12.51875			21.2
	12.31875			21.049999999999997
	12.4375			21.193749999999998
	12.518750000000002			19.650000000000002
	11.987499999999999			20.175000000000004
	12.487499999999999			20.45625
	12.075			20.800000000000004
Oct.	12.975000000000001			21.581249999999997
	14.325000000000003			22.3875
	13.799999999999997			21.64375
	13.13125			21.875000000000004
	13.337499999999997			22.225
	13.81875			22.393749999999997
	14.11875			22.299999999999997
	13.681249999999999			22.018750000000004
	13.175			20.837500000000002
	13.299999999999999			21.24375
	13.725			22.3125
	14.425			23.00625
	13.893749999999999			23.175
	13.424999999999999			23.50625
	14.731249999999998			22.75
	13.531250000000002			21.55
	13.181250000000002			21.35625
	13.456250000000002			21.524999999999995
	14.306249999999999			21.90625
	13.743749999999999			22.89375
	14.08125			23.018749999999994
	14.368749999999995			23.3
	14.756250000000001			24.075
	15.89375			25.368749999999995
	15.731250000000001			25.1125
	16.431250000000002			24.7875
	16.181250000000002			24.075
	15.6625			24.449999999999996
	15.4125			24.19375
	15.06875			24.8625
	15.8125			25.343750000000004
Nov.	16.375			26.437499999999996
	15.262500000000003			24.843750000000004
	15.981250000000003			25.675000000000004
	15.5625			24.574999999999996
	15.8375			25.568749999999994
	16.03125			25.08125
	16.675			25.256249999999998
	15.575			25.162500000000005
	15.399999999999997			25.556250000000006
	16.11875			25.943749999999998
	16.525			26.149999999999995
	17.25			26.8875
	17.56875			26.19375
	16.950000000000003			25.781249999999996
	17.575			26.106250000000003
	17.04375			26.487500000000004
	16.13125			24.631249999999998
	16.425			26.10625
	16.575			26.156250000000004
	17.2875			27.137500000000003
	17.15625			26.718750000000007
	17.28125			27.487500000000004
	17.725			27.575000000000003
	17.962500000000002			28.306250000000002
	17.6375			28.206249999999994
	17.725			29.1125
	18.700000000000003			30.0375
	18.4375			28.943749999999998
	17.89375			28.65
	18.10625			28.0625
Dec.	17.825			28.4375
	18.68125			28.3875
	19.0875			28.4375
	18.293749999999996			27.40625
	18.425000000000004			27.425
	18.937500000000004			28.05
	19.212500000000002			28.5125
	18.83125			29.1625
	18.6			29.125
	18.7375			29.3
	19.387499999999996			29.96875
	19.65			29.4625
	20.068749999999998			29.975
	20.8			31.249999999999996
	21.381249999999998			31.474999999999994
	21.425			31.674999999999997
	20.479999999999997			28.76

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

37°C

Highest Temp

26 Jan. 26

3°C

Lowest Temp

3 Jul. 26

Seasonal Breakdown

Hottest MonthJanuary31.19°C

Coldest MonthAugust9.52°C

Wettest MonthApril3.64mm

Windiest MonthFebruary26.69km/h

Buenos Aires 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 Buenos Aires historically?

January is historically Buenos Aires's hottest month, with average maximum temperatures around 30°C. During peak heatwave events, the highest recorded temperatures have reached 42°C on 2022-01-14.

2. What is the coldest month in Buenos Aires historically?

July is Buenos Aires's coldest month, with average minimum temperatures around 8°C. The all-time record low of -1°C was recorded on 2019-07-06.

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

Buenos Aires's average annual rainfall is approximately 1085.04mm, based on records spanning 17 years.

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

Buenos Aires historically records approximately 138.8 rainy days per year. March has the highest number of rain days at an average of 13.4 days.

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

The all-time highest temperature recorded in Buenos Aires is 42°C on 2022-01-14.

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

The all-time lowest temperature recorded in Buenos Aires is -1°C on 2019-07-06.

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

Buenos Aires experiences its strongest winds during November. The historic gust record of 54.8 kph was recorded on 2014-08-25.

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

Usually, Buenos Aires's humidity peaks in July at around 74.4% and drops to its lowest in January at approximately 56.7%.

Recent Blogs On Weather

See all blogs

Buenos Aires Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Buenos Aires 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

Buenos Aires Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Buenos Aires 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

Buenos Aires Historic Weather Records
Analyse hottest, coldest, windiest & wettest days