Franklin Township Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Franklin Township Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-2.0187500000000003	-9.3		4.9750000000000005	-2.8
	-3.724999999999999	-6.9		3.4312500000000004	0.5
	-3.74375	-5.8		2.5500000000000003	-0.2
	-4.85625	-3.9		3.1	-0.6
	-5.293749999999998	-4.4		1.35625	7.6
	-6.449999999999999	5.3		0.6062499999999998	7.5
	-7.900000000000001	1.7		-0.9062499999999998	6.3
	-7.387499999999999	1.9		0.6187500000000002	11.5
	-5.9	9		2.5875000000000004	12.5
	-5.75625	3.9		3.0125000000000006	8.5
	-2.849999999999999	-2.7		5.25	4.9
	-2.3124999999999996	-3.5		6.2875	3
	-4.331249999999999	-0.8		2.74375	6.3
	-5.268749999999999	-2.8		1.9374999999999993	4.7
Jan.	-5.84375	-7.8		1.6687500000000002	-4.4
	-5.48125	-7.2		2.1499999999999995	-0.8
	-4.956250000000001	-4.7		2.9062500000000004	3.4
	-4.424999999999999	-7.6		1.34375	-0.5
	-4.293749999999999	-11.7		2.9499999999999997	-2.7
	-6.93125	-13.7		0.9749999999999999	-4.4
	-7.9	-9.4		-0.175	2.7
	-8.662500000000001	-4.1		1.0187499999999998	1.1
	-5.675	-12.4		2.3187499999999996	-2.7
	-5.79375	-16.4		1.80625	-10.9
	-4.112500000000001	-11.1		3.6937499999999996	-6.4
	-4.5375	-11		3.43125	-6.1
	-5.781249999999999	-16.3		2.475	-7.6
	-5.756249999999999	-15.1		2.1125000000000003	-8.6
	-6.481249999999999	-13.1		1.71875	-8.6
	-7.3375	-16.9		2.34375	-8.9
	-5.625	-18.2		3.5562499999999995	-10
	-3.66875	-12.8		4.51875	-4.6
	-5.48125	-10.4		4.124999999999999	-2.2
	-4.574999999999999	-6.5		3.99375	-0.1
	-5.012499999999999	-10.8		4.74375	-4.8
	-3.7	-9.3		3.68125	-5.6
	-4.874999999999999	-7.7		4.30625	-2.4
	-4.74375	-15.3		5.762499999999999	-4.8
	-5.6625	-14.2		4.312499999999999	-5.9
	-5.6187499999999995	-14.9		3.58125	-1.5
	-5.30625	-3.6		2.8875	5.8
	-4.50625	-3		3.743749999999999	0.1
	-5.3500000000000005	-4.8		3.00625	-2.7
	-5.41875	-6.2		1.9187500000000002	0.6
	-5.7437499999999995	-0.1		3.14375	8.5
Feb.	-4.225	2.6		4.875	6.2
	-3.94375	-0.3		4.7875000000000005	4.3
	-4.831249999999999	2.3		4.125000000000001	7.8
	-4.2875	6.5		5.575	11.2
	-4.856249999999999	8		4.61875	14.1
	-4.3375	4.9		5.6812499999999995	17.2
	-3.3625	0.7		7.912500000000001	7.4
	-0.5125000000000002	-2.3		7.668750000000001	2.2
	-0.13749999999999996	-4.7		9.325	-0.7
	-2.20625	-7.9		8.5625	0.3
	-2.5875	-0.4		6.062499999999999	6.2
	-3.2874999999999996	-3.2		5.3625	6.2
	-2.60625	-2.5		7.3125	12.9
	-2.89375	4		7.956250000000001	14.2
	-1.8000000000000003	-2.9		8.737499999999999	4
	-3.15625	-4.6		6.218749999999999	4.2
	-3.3375	0.8		5.61875	10.9
	-3.4687499999999996	5.5		6.83125	10.9
	-3.724999999999999	12.2		7.737500000000001	15.1
	-3.35	14.2		6.637499999999999	20.2
	-2.5562500000000004	15		7.63125	22.3
	-1.65625	9		8.1375	17.4
	-0.28125000000000006	8.1		11.1625	20.1
	1.125	11.8		12.350000000000001	19.4
	1.5999999999999999	16.7		10.649999999999999	22.1
	-0.85	0.1		10.3125	11
	-0.7562500000000001	1.3		9.68125	11.1
	1.4875000000000003	-0.5		11.168750000000001	8
Mar.	1.15625	2.6		11.7	18.3
	2.0687499999999996	-1.8		11.500000000000002	14.9
	1.4125000000000003	-4.8		11.218750000000002	-1.5
	1.9125000000000005	-5.8		12.21875	1.4
	1.45	0.8		11.7125	11.3
	1.15	-0.5		11.237499999999999	16.2
	2.06875	3.4		12.818750000000003	10.8
	0.7999999999999999	9.4		9.993749999999999	22
	0.5062500000000002	3.9		12.225	10.3
	2.5187500000000007	-3.4		12.76875	9.8
	3.0500000000000003	1.5		12.8	15.2
	1.36875	12		10.8875	19.6
	0.29374999999999984	3.5		11.55625	18.2
	2.54375	-2.3		11.925	7.9
	3.4312500000000004	1.3		13.806250000000002	15.3
	3.075	8.4		14.11875	11.5
	2.3375	14.1		14.625000000000002	22
	2.3625000000000003	12.7		12.106250000000001	21.8
	2.2437500000000004	10.9		13.5875	26.4
	3.59375	17.3		15.168750000000003	25.5
	3.4750000000000005	16.1		15.74375	28.7
	3.8437499999999996	4.3		15.275000000000002	10.4
	3.718750000000001	0.5		15.606250000000001	13.1
	4.825	0.7		14.962499999999999	8.3
	4.012499999999999	-5		14.46875	18.3
	4.7375	7		15.2	24.5
	4.94375	11.3		16.0375	25.6
	5.793749999999999	5.6		16.1	17.4
	6.606249999999999	6.4		17.1875	27
	6.83125	18.6		17.83125	27
	6.88125	15.7		19.3375	26.2
Apr.	5.95	17.9		17.887500000000003	29.5
	6.168750000000001	18		16.831250000000004	28.2
	5.468749999999999	12.9		15.381249999999998	25.6
	5.999999999999999	12.9		18.275	28.5
	7.15	5.8		16.968749999999996	10.9
	5.9125000000000005	1.9		18.1875	9
	6.168749999999999	-3.3		16.981250000000003	21.7
	5.1375	12.8		15.393750000000002	23.7
	4.725	11.4		16.64375	25.8
	5.94375	13.1		16.662499999999998	26.6
	7.24375	9.4		17.35	18.6
	5.8625	6.5		17.931250000000002	15
	6.1499999999999995	4.7		18.14375	26.5
	6.45	11.3		17.137499999999996	20.8
	7.4	10.9		18.368750000000002	18.5
	8.15625	5.2		19.756250000000005	10.2
	9.25625	2.4		20.849999999999998	13.8
	10.587499999999999	0.5		20.837500000000002	9.5
	10.26875	-0.3		20.71875	15.8
	10.95625	7		20.75	22
	9.08125	15.5		19.64375	25.3
	8.675	9.4		18.637499999999996	14
	8.7375	4.6		19.81875	15.5
	9.40625	4.3		21.187499999999996	18.1
	9.10625	9.5		20.375	19.5
	8.40625	8.7		19.75625	17.5
	8.975	6		20.118750000000002	16.7
	9.50625	4.6		19.8125	21.7
	9.656250000000002	10.2		19.48125	19.7
	10.2375	6.5		21.124999999999996	11.7
May	10.393749999999999	3.7		21.9375	20.8
	11.6875	9.7		21.456249999999997	24.9
	11.49375	14.2		21.63125	28
	11.2125	17.4		22.2875	30.9
	12.05	19.6		22.54375	30.4
	11.15	11.7		23.049999999999997	24.5
	12.1875	10.3		24.118750000000002	18.9
	12.325	11.3		23.38125	18.1
	12.143749999999997	12.7		22.687500000000004	22.7
	11.787499999999998	15		22.800000000000004	24.1
	12.156250000000002	17.7		24.8	25.4
	13.549999999999999	15		26.018749999999997	26.1
	14.500000000000004	18.8		25.231249999999996	24.2
	15.1625	13.4		25.3	22.8
	15.493749999999997	9.4		26.200000000000003	24
	15.256249999999998	12.4		25.2	21.9
	14.431250000000002	9		25.73125	23.8
	12.937500000000002	9.6		25.08125	23.9
	12.693750000000001	10.6		24.64375	23
	13.493750000000002	9.7		23.9875	25.7
	13.925	10.8		25.962499999999995	27.5
	14.5875	13.7		25.637499999999996	28.1
	14.150000000000002	17.3		23.925	28.2
	14.387500000000001	18		24.618750000000002	28.5
	14.01875	16.2		24.531249999999996	30.6
	13.83125	21.3		24.39375	29.2
	14.549999999999999	21.6		26.01875	30
	15.325000000000001	22.2		26.425000000000004	31.3
	15.7375	21.3		26.9375	28.1
	15.6125	15.7		25.118749999999995	28
	14.456249999999999	17.6		24.624999999999996	29.1
Jun.	14.518749999999999	13.9		26.05	20.2
	15.38125	10.4		25.643750000000004	24.5
	15.475000000000003	15.7		26.8625	26.4
	16.16875	19.5		27.6875	26.5
	16.437499999999996	15.3		26.61875	24.4
	16.518750000000004	13.5		27.03125	24.7
	16.8625	13.9		28.124999999999996	26.5
	17.4125	17.4		28.3375	26.7
	17.224999999999998	15.4		28.0375	25.1
	17.15625	11.7		27.45	25.8
	16.51875	15.2		27.381249999999998	27.6
	16.15625	17.9		27.156250000000007	27.1
	16.73125	19.2		26.599999999999998	24.4
	16.893749999999997	17.7		26.7125	26.4
	16.23125	19.5		28.54375	30.9
	17.44375	21.8		28.962500000000002	33.4
	17.218750000000004	22.4		28.256249999999998	34.6
	17.168750000000003	22		27.85	35.1
	16.90625	22.8		28.324999999999996	36.1
	17.08125	22.1		28.9375	35
	18	20.1		29.449999999999996	31.9
	18.825000000000003	19.1		29.812499999999993	29.6
	18.98125	20.1		29.581249999999997	31.1
	18.49375	19.5		28.306250000000002	31.1
	18.25625	20		28.931250000000002	26.7
	17.71875	20.7		29.274999999999995	29
	17.900000000000002	19.6		29.08125	27.6
	18.137500000000003	18.6		28.943749999999998	29.5
	18.55	19.9		29.525	31.3
	18.71875	19.7		28.193749999999998	32.8
Jul.	17.71875	19.9		29.925	35
	18.29375	21.3		29.44375	34.9
	18.61875	18		29.274999999999995	33.5
	18.287499999999998	21		28.874999999999996	30.6
	19.26875	19.6		29.3	27
	19.25625	13.4		30.218750000000004	30.5
	19.23125	20		28.33125	31.3
	17.7375	16.2		27.49375	24.3
	17.937500000000004	12.4		28.51875	25.5
	18.012500000000003	14.8		28.849999999999998	27.5
	17.86875	18.2		27.356250000000003	27.6
	17.393749999999997	15.9		29.162500000000005	27.3
	18.493750000000002	17.2		28.81875	29.6
	18.331249999999997	20.1		28.718750000000004	26.4
	17.59375	18.9		27.968749999999996	26
	17.006249999999998	13		27.575	28.9
	17.143750000000004	12.4		27.44375	29.6
	17.41875	17.6		27.643749999999994	29.6
	16.9875	21.1		27.993750000000002	26.4
	17.256249999999998	19.2		27.8875	27.1
	17.2625	13.5		29.049999999999997	30.4
	17.325	20.6		27.95625	31
	17.193749999999998	20.3		27.7125	30.4
	17.75	20.5		27.65625	28.6
	17.44375	19.5		27.887500000000003	29.2
	17.73125	19.2		28.700000000000003	29.4
	18.0375	20.8		28.300000000000004	28.8
	17.706249999999997	18.8		28.01875	25.6
	17.193749999999998	17.4		28.231250000000003	25.9
	16.975	16.6		27.637499999999996	29
	16.881249999999998	20.9		26.35	25.8
Aug.	16.45625	18.5		27.318749999999998	27.6
	16.293750000000003	20.4		27.381249999999998	31.6
	16.950000000000003	21.6		28.168750000000003	27.4
	17.7125		17.9	26.80625		25.3
	16.731250000000003		17.3	27.912499999999998		24.4
	16.8625		17.9	27.9		23.7
	17.075000000000003		17	28.0125		24.1
	16.337500000000002		17.7	26.762500000000003		25.9
	15.387500000000005		17.1	26.2875		25.1
	15.656250000000002		15.7	27.5125		26.3
	15.625		18.3	27.524999999999995		27.6
	16.0375		16	27.3875		27.5
	16.55		16.9	27.7375		28.1
	16.875		17.1	28.631250000000005		28
	16.993750000000002		16.6	28.725		28.1
	16.5125		15.9	27.931249999999995		27.9
	16.550000000000004		16.1	27.66875		26.8
	15.900000000000004		16	26.76875		26.3
	16.7125		15.8	27.881249999999998		27.2
	16.3625		15.9	27.35625		27.6
	16.13125		15.9	27.093749999999996		27.1
	15.9125		15.5	25.85625		26
	14.781249999999998		14.9	25.76875		26.5
	14.618749999999999		14.8	26.199999999999996		25.5
	14.431249999999997		14.2	25.24375		24.9
	13.89375		14.1	24.531250000000004		24.5
	14.187500000000002		14.2	24.962500000000006		25.3
	14.275000000000002		13.6	25.73125		25.2
	14.287499999999998		14.2	24.9625		25.1
	13.84375		14.3	25.29375		25.1
	13.699999999999998		13.4	25.0875		25.1
Sep.	12.64375		12.3	25.2625		24.9
	12.80625		13	24.325		24.4
	13.012500000000001		13.4	24.2375		24
	13.393749999999999			24.856249999999996
	13.875			24.88125
	13.6625			24.85
	13.612499999999999			25.531249999999996
	13.868750000000002			24.39375
	12.43125			22.775000000000006
	12.40625			23.231250000000003
	13.325000000000001			23.63125
	12.887499999999998			23.9625
	12.91875			23.55
	13.168750000000001			22.312500000000004
	12.424999999999999			22.512500000000003
	11.5875			21.181249999999995
	11.062499999999998			20.06875
	10.687499999999998			21.375
	11.562500000000002			21.062500000000004
	10.43125			20.5625
	10.325000000000003			21.48125
	11.924999999999999			22.256249999999998
	10.774999999999999			21.162500000000005
	10.2875			20.049999999999997
	9.13125			19.625000000000004
	8.862499999999999			20.69375
	9.281250000000004			19.906249999999996
	8.83125			19.206249999999997
	9.625			19.487500000000004
	9.331249999999999			18.54375
Oct.	8.625			18.512500000000003
	7.031249999999998			15.874999999999998
	6.0874999999999995			14.9625
	5.7749999999999995			16.15625
	5.29375			17.2125
	6.4937499999999995			16.2
	7.30625			16.737499999999997
	6.593750000000001			15.912499999999998
	6.012500000000001			16.39375
	7.256250000000001			17.656250000000004
	7.025			15.9
	6.231249999999999			15.537500000000001
	6.293750000000001			16.056250000000002
	6.1625			15.587499999999997
	5.21875			12.7
	4.956250000000001			13.53125
	5.3875			14
	4.874999999999999			12.924999999999999
	3.7125000000000004			13.468749999999998
	2.91875			13.2875
	3.35			14.18125
	5.3187500000000005			14.34375
	5.3375			15.250000000000004
	4.19375			13.3125
	2.38125			13.18125
	2.84375			13.681250000000002
	2.2812500000000004			11.325
	3.26875			13.150000000000002
	2.4124999999999996			12.437500000000002
	0.7562499999999999			8.725000000000001
	0.66875			8.575000000000001
Nov.	0.31249999999999994			9.26875
	1.8749999999999998			10.25
	1.8874999999999997			9.606250000000001
	0.675			9.4875
	0.81875			9.193750000000001
	0.3062500000000001			8.88125
	0.8562500000000001			9.681249999999999
	0.75			8.475000000000001
	-0.7437499999999999			9.068750000000001
	-0.48124999999999984			8.506250000000001
	0.75			9.093750000000002
	0.30000000000000004			8.518749999999999
	0.4437499999999999			7.906249999999998
	-0.08124999999999999			5.60625
	-0.8874999999999998			6.999999999999999
	0.65625			8.262500000000003
	0.525			8.39375
	0.94375			7.84375
	-0.40624999999999994			6.643750000000001
	-0.5937500000000002			6.568749999999999
	0.15624999999999997			7.612500000000001
	-0.90625			6.31875
	-2.6187499999999995			3.86875
	-2.49375			3.9625
	-0.9875000000000003			6.10625
	-1.3437499999999996			5.5375
	-1.5750000000000004			5.55625
	-2.31875			5.00625
	-2.54375			4.8187500000000005
	-1.8625			4.943749999999999
Dec.	-1.3			5.18125
	-1.4624999999999997			5.15
	-1.4562500000000003			5.5375000000000005
	-1.8312499999999998			4.918749999999999
	-3.343749999999999			4.06875
	-2.5875			4.7250000000000005
	-1.11875			6.687499999999999
	0.46874999999999983			6.625
	-2.1125000000000003			6.4437500000000005
	-1.8062500000000001			5.768750000000001
	-1.2125			5.7437499999999995
	-1.3124999999999998			4.86875
	-1.10625			6.756249999999999
	-1.6812500000000004			6.918749999999999
	-0.625			5.81875
	-0.7250000000000003			6.199999999999998
	-1.3799999999999997			4.86

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

36°C

Highest Temp

3 Jul. 26

-18°C

Lowest Temp

31 Jan. 26

Seasonal Breakdown

Hottest MonthJuly30.22°C

Coldest MonthJanuary-6.94°C

Wettest MonthMarch10.8mm

Windiest MonthMarch20.84km/h

Franklin Township 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 Franklin Township historically?

July is historically Franklin Township's hottest month, with average maximum temperatures around 29°C. During peak heatwave events, the highest recorded temperatures have reached 36°C on 2012-06-29.

2. What is the coldest month in Franklin Township historically?

January is Franklin Township's coldest month, with average minimum temperatures around -5°C. The all-time record low of -25°C was recorded on 2015-02-24.

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

Franklin Township's average annual rainfall is approximately 1382.5mm, based on records spanning 17 years.

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

Franklin Township historically records approximately 209.5 rainy days per year. June has the highest number of rain days at an average of 19.2 days.

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

The all-time highest temperature recorded in Franklin Township is 36°C on 2012-06-29.

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

The all-time lowest temperature recorded in Franklin Township is -25°C on 2015-02-24.

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

Franklin Township experiences its strongest winds during March. The historic gust record of 39.6 kph was recorded on 2023-04-01.

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

Usually, Franklin Township's humidity peaks in January at around 82.4% and drops to its lowest in April at approximately 75.3%.

Recent Blogs On Weather

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Franklin Township Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Franklin Township Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

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World Top Hottest Cities Belong to India - April 2026

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Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

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Franklin Township Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Franklin Township 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

Franklin Township Historic Weather Records
Analyse hottest, coldest, windiest & wettest days