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

Naka Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.16874999999999996	-0.5		4.1312500000000005	1.2
	-0.26250000000000007	-3.6		4.1875	1
	-0.3125	-0.4		3.7874999999999996	3.5
	-0.5375	1.7		4.125000000000001	4.5
	-0.7874999999999999	0.4		4.25	2.8
	-0.8375000000000001	-0.2		3.8874999999999997	2.9
	-1.06875	-6.9		3.9625000000000004	2.9
	-0.7562499999999999	-0.8		4.13125	1.2
	-0.9937500000000001	-3.4		4.206249999999999	3.6
	-1.2562499999999996	-3.5		3.1374999999999997	5.8
	-2.0312500000000004	-0.3		3.0500000000000003	5.8
	-2.675	-3.6		3.8625000000000007	2.8
	-1.6062500000000002	-3.2		3.60625	6.9
	-2.10625	0		3.2375	3.9
Jan.	-1.9375	-2.4		3.5124999999999997	7.4
	-1.625	4.6		3.1062499999999997	7.8
	-1.33125	0.6		3.0062499999999996	9.5
	-1.9375000000000002	-0.4		3.9500000000000006	3.8
	-1.71875	-2.1		4.231250000000001	6.1
	-1.8062500000000001	-1.1		4.68125	2.8
	-1.2625	-2		4.0625	0
	-1.2375000000000003	-2.2		3.81875	-0.3
	-1.26875	-1.7		4.5875	0.9
	-1.6562499999999998	-1.5		3.2125000000000004	1.4
	-2	-2.3		3.0999999999999996	-0.7
	-2.0062499999999996	-5.6		3.5375	1.5
	-1.2249999999999999	-7.3		3.9500000000000006	4.8
	-1.2687499999999996	0.1		3.8874999999999997	1.7
	-1.23125	-0.9		3.4125	0.9
	-1.5999999999999999	-0.9		3.725	0.6
	-1.6375	-0.7		3.85625	1.8
	-2.3000000000000003	-5.1		4.20625	1.9
	-1.6249999999999998	-1.8		3.96875	1.1
	-2.0124999999999997	-6.8		4.09375	2.6
	-1.9312499999999995	-7.8		4.0249999999999995	3.6
	-1.86875	0.6		3.38125	10.3
	-2.00625	-0.6		3.26875	6.3
	-1.7374999999999996	-3.4		3.9125000000000005	-0.5
	-2.2312499999999997	-3.2		2.61875	-1.2
	-2.3749999999999996	-3.3		2.81875	2
	-2.29375	-7.1		2.8437500000000004	5.1
	-1.6875000000000002	-1		3.6562499999999996	3.7
	-2.69375	-1.3		4.956250000000001	6
	-0.7249999999999998	0.3		5.125	8.5
	-0.5437500000000001	0.9		6.181250000000001	11.2
Feb.	-0.7625	2.9		5.518750000000001	13.7
	-1.2187500000000002	2.1		4.668750000000001	7.5
	-2.03125	0.3		4.65625	5.7
	-1.49375	-0.9		4.3187500000000005	8.4
	-0.84375	-0.1		4.937500000000001	3.8
	-0.9250000000000003	-3.2		5.475	7.4
	-1.1	-0.6		4.13125	11.7
	-1.4937500000000004	2		5.981250000000001	17.3
	-0.6624999999999999	5.7		6.14375	8.6
	-0.4937499999999999	2.5		6.0125	13
	-0.5437499999999998	6		6.206249999999999	7.7
	-0.006249999999999992	3.8		5.999999999999999	14
	-0.475	6.3		5.8999999999999995	13.7
	-0.4749999999999999	5.9		7.412500000000001	9.4
	0.18125	4		8.7375	9.1
	0.2625	1.1		6.29375	8.6
	-0.9562500000000002	4.6		5.78125	9.9
	-0.5625	4		7.8125	6.4
	0.9249999999999999	1.9		8.39375	6.4
	0.3812499999999999	0.3		7.61875	12.3
	0.5	3.5		7.45625	7
	0.7625	2		7.918749999999999	4.9
	0.43125	1.2		9.281249999999998	6
	0.5625000000000001	0.8		7.49375	4.6
	0.2125	-1.3		7.925000000000001	5.5
	0.17500000000000007	-1.7		10.487499999999999	6.8
	1.3562499999999997	1		10.5375	6.7
	1.5	2.8		8.243749999999999	7.8
Mar.	0.5937500000000001	4.1		10.031250000000002	6.8
	1.6124999999999996	1		10.05625	7.8
	1.2125000000000001	0.6		8.362499999999999	8.9
	1.6375	0.2		10.487499999999999	13.4
	2.98125	3.8		10.099999999999998	9.8
	2.2562500000000005	1.1		12.318749999999998	9.9
	2.96875	1.6		10.506249999999998	7.4
	2.3375000000000004	-0.2		9.837499999999999	13.5
	1.7937500000000002	3.8		9.049999999999999	13.7
	1.525	4.8		9.75625	11.3
	2.4250000000000003	3.3		10.599999999999998	15.7
	2.4687500000000004	8.8		9.80625	10.1
	1.5625	3.9		11.525	13.3
	2.4875	4.7		12.662500000000001	15.7
	2.6999999999999997	7.8		12.337499999999999	16
	2.89375	9.4		11.706249999999999	19.5
	3.24375	10.3		12.0375	17
	3.375	9.5		12.525	13.1
	3.8000000000000003	6.8		13.3	9.1
	4.23125	4.7		13.887500000000001	14.5
	4.312500000000001	7.7		14.362499999999999	15.5
	4.5687500000000005	10.8		13.8	13.2
	4.8625	8.6		14.6375	20.6
	5.1499999999999995	5.9		12.98125	11.9
	4.38125	4.8		12.587500000000002	11.7
	3.6000000000000005	4.2		13.900000000000002	19.7
	4.04375	10.9		14.687500000000002	15.4
	4.856249999999999	8.8		13.768749999999999	16.3
	4.99375	6.4		13.4125	13.6
	5.018750000000001	6		15.1	19
	5.400000000000001	6.9		16.037499999999998	19.4
Apr.	6.393750000000001	11.1		13.618749999999997	22.7
	5.96875	8.1		16.06875	13.4
	5.9937499999999995	6.2		15.831249999999999	23
	6.36875	9.5		16.41875	19.5
	6.7250000000000005	11.6		14.806249999999999	20.5
	6.474999999999999	11.2		16.150000000000002	24.2
	6.831249999999999	7.5		15.65625	15.6
	6.981249999999998	5.9		15.99375	19.9
	6.8687499999999995	8.6		16.43125	17.5
	7.8125	6		16.825	15.4
	7.4125	3.6		16.65625	18.3
	7.3999999999999995	7.5		16.675	22.7
	7.781250000000001	10.7		18.0625	15.2
	8.125	8.1		17.30625	21
	7.75625	7.7		18.068749999999998	13.3
	8.66875	6.5		18.33125	18.1
	9.15	10.6		18.79375	20.2
	8.75625	9.6		17.943749999999998	17
	8.643749999999999	9.5		19.2625	23.9
	9.3625	9		20.118750000000002	14.7
	9.862499999999999	6.8		20.39375	18.6
	10.79375	8.2		20.700000000000003	21.6
	10.30625	10.6		18.693749999999998	22.6
	9.131250000000001	12		18.20625	22.3
	9.025	9.5		18.46875	15.3
	9.33125	6.1		18.887499999999996	19.6
	9.8125	9		19.59375	22.5
	10.481250000000003	11.6		21.15	22.4
	11.143749999999999	11.8		20.65625	22.4
	11.10625	9.7		19.825000000000003	21.4
May	10.993749999999997	9.6		21.85	22.3
	11.593750000000002	10.4		21.381249999999998	23.1
	12.05	11.2		21.31875	23.7
	11.5375	11.9		22.049999999999997	27.7
	11.9875	15.2		21.64375	27
	12.662499999999996	14.7		23.3375	26.3
	13.243749999999999	14.4		21.65	19.2
	11.912500000000001	12.3		21.1	15.5
	11.69375	9.2		20.818750000000005	24.7
	12.03125	12.5		21.950000000000003	18.1
	12.731250000000001	13.9		23.91875	24.8
	13.506249999999998	15.3		22.306249999999995	26.5
	13.162500000000001	17.1		23.025000000000002	28.4
	13.924999999999997	17.4		22.718750000000004	28.5
	13.862499999999997	11.1		22.20625	18.4
	13.30625	10.3		22.45	23.9
	12.818750000000001	13.7		22.08125	27.9
	12.75625	14.6		22.5	29.2
	13.3625	17.3		23.162499999999998	27.1
	13.856250000000001	16.2		22.53125	18
	13.25	14.9		22.925000000000004	25.1
	13.85625	12.7		23.1625	29.5
	14.275000000000002	14.6		23.6375	21.9
	14.593749999999996	14.6		23.88125	27.6
	15.30625	17.2		23.55625	24.5
	14.612499999999999	15.3		24.6625	19.5
	15.743749999999999	11		25.537499999999998	21.6
	16.325	10.3		24.94375	23.5
	16.275000000000002	13.4		24.368750000000006	25.8
	16.18125	12.6		24.981250000000003	25.2
	16.287499999999998	13.7		23.968749999999996	27.8
Jun.	16.20625	14		24.2125	24.4
	16.425	13.6		24.818749999999998	26.6
	16.71875	15.9		25.612500000000004	29.5
	16.862499999999997	17.3		25.668750000000003	29
	16.862499999999997	15.7		24.63125	27.2
	16.724999999999998	17.7		25.5375	29.6
	17.268749999999997	18.9		26.343750000000004	23.1
	17.20625	17		25.625000000000004	21.4
	17.1875	13.9		25.156249999999996	22.4
	17.325	12.7		24.83125	24.9
	17.15625	16.4		26.2	27.6
	18.418750000000003	17.8		26.7375	22.5
	18.799999999999997	15.8		26.06875	24.8
	18.474999999999998	15.2		26.30625	26.3
	19.031249999999996	14.7		26.95625	26.8
	19.1375	15.5		27.3625	27.4
	19.631250000000005	14.9		26.88125	26.5
	19.993750000000002	18.5		28.012500000000003	20.6
	20.037499999999998	16.6		28.2	23.8
	20.14375	15.7		27.037499999999998	28.3
	19.71875	17.5		26.66875	29.9
	20.1	19.3		27.512500000000006	27.4
	20.256250000000005	17.6		27.325000000000006	29.2
	20.7625	19.6		27.7375	29
	20.95	19.5		28.218750000000004	31.5
	20.825	20.7		28.225	31.3
	20.650000000000002	21.2		28.243749999999995	28.5
	20.6625	20.6		28.162499999999998	25.8
	20.425	21.3		27.58125	23.3
	20.674999999999997	21.3		28.43125	29.4
Jul.	20.98125	21		27.824999999999996	35.1
	21.1875	21.9		28.937500000000004	29.4
	21.587500000000002	21.7		29.16875	31.9
	21.48125	22.3		28.831250000000004	32.8
	21.474999999999998	21.9		28.9375	32.2
	21.374999999999996	22.7		29.91875	32.6
	21.65625	22.7		30.075000000000003	30.1
	21.931250000000002	22.2		30.224999999999998	31.1
	21.887500000000003	22.3		28.59375	29.6
	21.7625	21.8		29.143749999999997	27.5
	22.050000000000004	21		30.150000000000002	28.5
	22.268749999999997	20.4		30.8625	25
	22.012499999999996	19.2		30.40625	27
	22.2625	19.4		30.081249999999997	29.9
	22.48125	21.3		30.15	24.5
	22.743749999999995	20.2		30.787499999999998	27.2
	23.0125	21.6		30.98125	27
	22.94375	21.1		31.206249999999997	28.5
	22.456250000000004	22.2		31.25	28.7
	22.806249999999995	21.1		31.15	31.2
	22.993750000000002	19.5		31.587500000000002	32.3
	23.7375	18.7		32.449999999999996	32.9
	23.643749999999997	21		31.8375	33.6
	23.39375	21.8		31.8125	34
	22.849999999999998	21.3		30.381249999999998	31.5
	23.118750000000002	21.9		30.712500000000002	26.9
	23.01875	19.7		29.95	28
	22.712499999999995	17.8		30.225000000000005	25.7
	22.431249999999995	20		29.743750000000002	28.8
	22.362499999999997	19.1		29.868750000000002	33.2
	22.59375	19.6		30.681250000000006	30.6
Aug.	23.181250000000002	20.1		30.875	32.2
	23.056250000000002	20.5		30.34375	29.6
	22.781250000000004		13	29.46875		15.7
	22.537499999999998		13.6	29.41875		15.3
	22.36875		13.3	30.200000000000003		14.2
	22.037499999999998		12	30.05		13.9
	22.412499999999998		12.5	30.64375		14.1
	22.700000000000003		12.6	30.98125		13.8
	22.937500000000004		13	30.375		14.2
	22.837500000000002		10.8	29.956249999999997		12.6
	22.6375		22.2	29.625000000000004		29.4
	22.218750000000004		21.9	29.756249999999998		29.6
	21.762499999999996		21.5	29.293750000000003		29
	21.212500000000002		21.2	28.587500000000002		28.9
	21.2625		21.4	29.68125		29.3
	22.106249999999996		21.5	28.975		28.2
	21.849999999999998		21.6	29.5375		29.4
	21.1875		21	28.506249999999998		28.3
	21.112500000000004		21	28.693749999999998		28.8
	21.30625		21.2	29.20625		29
	21.19375		21	29.518749999999997		29
	21.118750000000002		20.9	28.918750000000006		28.8
	20.70625		20.7	28.1125		27.6
	20.1875		20	27.19375		27.5
	20.24375		20.2	26.699999999999996		26.6
	19.94375		19.5	28.25625		27.4
	20.406250000000004		20	27.549999999999997		27.3
	20.2		19.9	28.0625		27.5
	20.025		19.8	27.48125		27.3
	19.724999999999998		19.6	27.506249999999998		27
	19.468749999999996		19.1	27.168749999999996		26.8
Sep.	19.475		19.2	27.03125		26.4
	19.125		18.8	26.793750000000003		26.7
	19.406250000000004			26.999999999999996
	19.368750000000002			26.793749999999996
	18.187500000000004			25.2
	17.53125			24.299999999999997
	17.40625			24.006249999999998
	16.725			23.943749999999998
	16.668750000000003			24.40625
	16.46875			23.837500000000006
	16.275000000000002			23.65625
	15.9125			23.493749999999995
	16.15			24.200000000000003
	15.925			24.15
	15.731250000000001			23.3875
	16.018749999999997			23.712500000000002
	15.58125			23.625
	15.331249999999997			23.374999999999996
	15.30625			23.15625
	15.587499999999999			22.375
	15.35625			22.162499999999998
	15.062500000000002			21.056250000000002
	14.3875			21.556249999999995
	14.5375			21.162499999999998
	14.056250000000002			21.2125
	14.35625			22.075
	14.649999999999997			21.38125
	13.256250000000001			20.400000000000002
	13.256250000000001			19.2875
	12.4375			19.806250000000002
Oct.	12.437500000000002			19.925000000000004
	12.381250000000001			19.5
	11.9			18.706250000000004
	10.987499999999999			19.112500000000004
	11.20625			19.4125
	11.48125			19.443749999999998
	10.993750000000002			18.3
	10.487499999999999			18.256249999999998
	10.581249999999999			18.875
	11.256250000000001			17.99375
	10.418750000000001			16.700000000000003
	9.806249999999999			17.28125
	10.09375			17.206249999999997
	9.5875			16.60625
	10.04375			15.924999999999999
	9.61875			16.2
	9.575			16.075
	9.293750000000001			16.362499999999997
	9.575			16.9125
	9.79375			16.1125
	8.5			15.53125
	8.375			16.51875
	8.674999999999999			17.13125
	8.85			16.45625
	8.54375			15.368749999999999
	8.462499999999999			15.537500000000001
	7.91875			13.3375
	6.7250000000000005			13.0375
	6.88125			14.15
	7.406249999999999			14.0625
	7.1			13.843750000000002
Nov.	6.681250000000001			12.987499999999999
	6.28125			12.7875
	6.356249999999999			12.95625
	6.393749999999999			13.275
	5.925			12.406250000000002
	5.343750000000001			12.1625
	5.400000000000001			12.58125
	5.606250000000001			12.962499999999999
	5.83125			12.868750000000002
	6.031249999999999			11.25625
	5.04375			10.21875
	4.39375			11.049999999999999
	4.787499999999999			11.5125
	4.94375			11.46875
	5.04375			11.050000000000002
	4.0125			10.3375
	3.8625			9.775
	2.96875			9.225
	3.0937500000000004			10.243749999999999
	4.062500000000001			9.950000000000003
	3.325			8.712499999999999
	2.86875			9.000000000000002
	3.0187500000000003			8.450000000000001
	2.475			6.987499999999999
	1.9625			7.993750000000001
	2.55625			8.85625
	2.79375			8.24375
	2.9			7.09375
	1.9			6.637499999999999
	1.475			7.500000000000001
Dec.	1.35			6.8
	1.08125			6.7437499999999995
	0.6499999999999999			5.4
	0.575			5.0125
	0.08750000000000005			5.937499999999999
	0.6000000000000001			5.9375
	0.35			6.45625
	0.9687499999999999			6.706249999999999
	1.5			6.6812499999999995
	1.0875			6.525
	0.08124999999999996			5.4937499999999995
	-0.2687500000000001			5.1312500000000005
	-0.70625			4.19375
	-0.7749999999999999			4.34375
	0.08125000000000004			4.9625
	-0.06874999999999992			5.4312499999999995
	-0.6066666666666668			5.326666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

35°C

Highest Temp

15 Jul. 26

-8°C

Lowest Temp

4 Feb. 26

Seasonal Breakdown

Hottest MonthAugust30.48°C

Coldest MonthJanuary-1.62°C

Wettest MonthJanuary15.94mm

Windiest MonthJanuary26.03km/h

Naka 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 Naka historically?

August is historically Naka's hottest month, with average maximum temperatures around 30°C. During peak heatwave events, the highest recorded temperatures have reached 38°C on 2023-08-14.

2. What is the coldest month in Naka historically?

February is Naka's coldest month, with average minimum temperatures around -1°C. The all-time record low of -8°C was recorded on 2014-02-12.

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

Naka's average annual rainfall is approximately 2070.3mm, based on records spanning 17 years.

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

Naka historically records approximately 262.3 rainy days per year. December has the highest number of rain days at an average of 27.6 days.

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

The all-time highest temperature recorded in Naka is 38°C on 2023-08-14.

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

The all-time lowest temperature recorded in Naka is -8°C on 2014-02-12.

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

Naka experiences its strongest winds during December. The historic gust record of 52.6 kph was recorded on 2012-04-04.

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

Usually, Naka's humidity peaks in January at around 83.5% and drops to its lowest in April at approximately 72.1%.

Recent Blogs On Weather

See all blogs

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

Naka 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

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

Naka 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

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