Mohammad Shahr Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Mohammad Shahr Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-1.2125000000000001	0.5		7.143750000000001	6.6
	-1.925	5.2		7.03125	8.6
	-2.5562500000000004	0.1		6.01875	3.7
	-3.487499999999999	-1.4		6.118749999999999	5.4
	-2.6687500000000006	2.5		6.043750000000001	7.1
	-2.60625	0.7		5.7124999999999995	6
	-2.59375	1.3		6.51875	5.7
	-2.6312500000000005	3.7		7.23125	8.2
	-2.3000000000000003	4.2		6.5625	9.1
	-2.8937500000000003	1.8		5.824999999999999	7.1
	-3.849999999999999	0		5.84375	6.2
	-3.1875	1.4		6.21875	6.7
	-2.9062500000000004	2.8		6.681249999999999	7.3
	-2.625	1.3		6.5249999999999995	6.9
Jan.	-2.5874999999999995	-1.6		6.125	2.7
	-3.39375	-5.3		6.425000000000001	0.6
	-3.1000000000000005	-2.9		6.325000000000001	1.5
	-3.7437500000000004	1.4		5.61875	4.1
	-4.093749999999999	0.5		6.3125	4.4
	-3.41875	-3.3		6.31875	3.4
	-4.1875	-4.9		5.4937499999999995	1.5
	-4.0249999999999995	-8.7		6.0375	0.1
	-3.4437500000000005	-2.9		5.975	4.4
	-3.56875	-1.8		6.050000000000001	6.2
	-3.9312500000000004	-1.3		6.54375	6.1
	-2.69375	-2.2		6.749999999999999	6.2
	-2.675	-0.9		5.937500000000001	7.9
	-3.1187499999999995	0.9		5.475	8.9
	-3.31875	2.6		5.2375	7
	-3.1687499999999997	0.7		5.6625000000000005	6.8
	-2.9687499999999996	1		5.3375	8.2
	-2.8750000000000004	2.5		5.431249999999999	10.6
	-3.75625	3.1		5.1812499999999995	11.4
	-4.375	5.3		4.937500000000001	10.9
	-4.475	0		5.64375	6.6
	-4.1875	-1.6		5.3875	6.1
	-3.356249999999999	-0.8		6.7437499999999995	7.6
	-2.9187499999999997	2		6.924999999999999	6.1
	-2.7062500000000003	4.3		7.356249999999999	7.5
	-2.931250000000001	2.8		6.35	8.5
	-2.6687500000000006	3.8		6.749999999999999	12.5
	-3.2375	6.6		6.03125	10.8
	-3.15625	5		6.03125	12.7
	-2.7375	6.3		7.3062499999999995	13.2
	-2.1875	7.4		8.325	15.5
Feb.	-2.15625	6.1		8.650000000000002	11.1
	-0.6375	3.4		8.8	13.2
	-0.8312500000000002	5.9		7.775000000000001	14.1
	-1.94375	6.8		8.181250000000002	15.4
	-2.4250000000000007	8.5		7.962500000000001	17.3
	-1.725	8.4		8.2875	14.4
	-1.4625	6.8		8.906249999999998	14.9
	-1.1812500000000004	7.5		9.6375	16.7
	-1.4437500000000005	9.2		9.075	18
	-1.0124999999999997	11.1		8.831249999999999	17
	-1.5312500000000002	6.6		7.612499999999998	11.9
	-1.84375	5.5		8.50625	13.6
	-1.20625	6.4		9.281250000000002	14.8
	-0.3187499999999999	6.4		9.218749999999998	14
	-0.11874999999999997	3.3		10	10.1
	-0.09375000000000006	2.1		10.0125	7.7
	0.037500000000000006	1		10.537500000000001	7.8
	0.76875	1.6		10.50625	9.4
	1.125	4.5		11.20625	10.7
	0.9562499999999999	3.9		11.46875	10.7
	1.0687499999999999	6.3		11.756250000000001	12
	1.5812500000000003	5.8		11.718749999999998	9.7
	1.75625	1.2		12.325	7.9
	2.31875	-0.5		12.662500000000001	5.3
	2.3000000000000003	2		12.675	8.3
	2.1562500000000004	4.1		12.818749999999998	9.4
	2.2375	3.1		13.1	9
	2.8	5.5		14.35	12.2
Mar.	3.23125	8.3		14.781249999999998	13
	4	9.9		15.224999999999998	14.6
	3.41875	7.9		13.60625	14.1
	3.83125	6.4		14.218750000000002	14.4
	3.2562499999999996	8.1		13.799999999999999	15
	3.6437499999999994	9.5		14.049999999999999	12.3
	3.48125	7.8		13.556249999999999	14.3
	2.7	9		13.818750000000001	16.5
	2.5562500000000004	12.3		13.418749999999998	17
	3.8187500000000005	10.9		13.418749999999998	18.1
	3.6000000000000005	8.8		13.606249999999998	16.4
	3.34375	8.4		13.9625	16.1
	3.58125	4.3		14.68125	12.6
	4.43125	5.2		14.825000000000001	8.6
	4.75625	5.7		16.05625	13.1
	5.750000000000001	5.6		16.037499999999998	15
	5.58125	7.8		15.6375	13.5
	4.0874999999999995	6.8		15.48125	14.1
	4.7749999999999995	7.2		16.212499999999995	15.6
	5.362500000000001	10.5		16.4125	20.2
	6.0687500000000005	12.2		17.418750000000003	18.8
	6.243749999999999	8.7		17.756249999999998	14.6
	6.9312499999999995	7.6		18.625	15
	7.5	6.8		19.33125	14.6
	8.04375	8.8		19.581249999999997	15
	7.987500000000001	9.7		18.9625	16
	8.299999999999999	10.9		19.674999999999997	17.4
	9.356250000000001	12		20.33125	18.5
	9.46875	12.1		19.675000000000004	19.2
	9.09375	11.2		19.71875	16.3
	7.8687499999999995	6.9		18.718749999999996	14
Apr.	7.181250000000001	7.9		18.16875	14.7
	7.6312500000000005	6.2		17.74375	15.3
	6.881249999999999	9.1		18.868750000000002	16.2
	7.887499999999999	11.3		18.9875	19.7
	8.274999999999999	14.2		20.118750000000002	20.4
	8.799999999999999	14.6		21.043750000000003	21.1
	9.95625	13.1		21.618750000000002	18.3
	10.218749999999998	11.7		22.2	19
	10.743750000000002	12.6		21.650000000000006	20.1
	10.18125	13.5		21.243750000000002	21.4
	9.85	14.3		20.231249999999996	22.9
	9.706249999999999	13		20.725	24.1
	10.3375	15.2		21.6125	22.9
	10.674999999999999	14.5		22.55	22.3
	10.85625	10.5		21.881249999999994	22.8
	11.06875	12.4		23.04375	21.1
	11.768749999999999	11.7		22.806249999999995	21.6
	11.35625	15.2		22.49375	23.7
	11.512500000000001	17.5		22.58125	25.5
	11.69375	18.3		22.65	25.2
	12.049999999999999	17.4		22.837500000000006	24.9
	12.15625	16.5		23.725	27.6
	12.149999999999999	15.5		23.55625	26.7
	12.425	17.9		23.487500000000004	27
	12.312499999999996	14.8		23.7375	23.5
	12.6625	13.6		23.73125	23.7
	13.150000000000002	15.9		25.156249999999993	25.1
	14.225	17.8		25.793749999999996	27.2
	14.31875	19.5		25.424999999999997	26.9
	13.506250000000001	17.8		24.868749999999995	26.5
May	13.55	18.1		23.681250000000002	26.4
	12.36875	14.6		24.187499999999996	21.7
	12.562500000000002	12.7		25.049999999999997	20
	13.6875	13.8		26.568749999999994	21.3
	14.906250000000002	14.7		27.35625	24.3
	15.725	12.6		27.906250000000004	21.2
	15.625000000000004	14.4		26.9625	25.2
	14.40625	16.8		26.65	24.5
	15.099999999999998	15.9		27.506249999999998	24.8
	15.674999999999999	17.5		27.756250000000005	28.1
	15.431249999999999	19.5		27.756250000000005	27.1
	15.175	17.2		27.387500000000003	26
	15.518749999999999	17.8		28.26875	27.2
	16.4625	18		28.537499999999998	29.9
	17.05	22.5		29.381250000000005	33.1
	17.281250000000004	20.5		30.056250000000006	29
	17.55	17.4		29.849999999999998	27.7
	17.781250000000004	18.2		30.00625	27.7
	18.187500000000004	19.2		30.50625	28.7
	17.76875	16.7		30.33125	27.9
	17.087500000000002	18.7		30.212500000000002	28.9
	17.981250000000003	20.5		30.60625	28.3
	18.687499999999996	20.7		31.075000000000003	28.9
	18.81875	20.7		31.08124999999999	30.7
	18.0625	16.8		30.9875	28.7
	17.89375	20.1		30.54375	29.5
	18.7875	20.7		31.074999999999996	30.1
	19.1	22.2		31.424999999999997	32.6
	19.175	22.8		32.00625	33.1
	19.15625	23.1		31.856249999999996	31.8
	19.05625	21.6		31.59375	31.8
Jun.	19.337500000000002	22.8		32.1125	31
	19.668750000000003	18.9		32.275	30.1
	20.05625	19.1		32.512499999999996	29.6
	20.187500000000004	21.3		32.762499999999996	30.5
	19.868750000000006	24.8		32.78750000000001	33
	19.843750000000004	25.6		32.918749999999996	34.5
	20.612499999999997	27.1		33.1125	35.9
	19.64375	27.8		32.91875	35.4
	19.362499999999997	22.6		32.443749999999994	35.2
	19.962500000000002	23.7		32.7	35.8
	20.24375	19.3		32.35625	31.6
	20.75625	20.8		33.35	32.2
	20.481250000000003	23		33.65625	33.4
	20.66875	20		33.787499999999994	32.7
	21.875	18.3		34.23125	31.4
	21.981250000000003	20		35.15	31.2
	21.137499999999996	20.1		35.2125	30.1
	20.806250000000006	18.5		34.550000000000004	29.1
	21.200000000000003	22.8		34.06249999999999	31.3
	20.3125	25.6		34	33.1
	21.300000000000004	24.6		34.55624999999999	33.3
	21.6625	23.8		34.4625	34.1
	22.349999999999998	24.4		35	35.7
	22.343750000000004	26.4		34.94375000000001	35
	22.10625	28.4		34.9125	36.1
	22.274999999999995	27.2		35.1875	36.7
	22.568749999999998	27.1		35.45625	38
	22.868750000000002	24.4		35.3	35.1
	21.8375	26.8		33.818749999999994	34.7
	21.924999999999997	28		33.8125	36.4
Jul.	22.337500000000006	28.6		34.075	36.9
	22.45	26.9		34.456250000000004	36.1
	22.25625	26		34.2375	36.3
	22.2375	28.3		34.4625	37.3
	22.9375	26.9		34.81250000000001	37.1
	22.675	23.3		34.95625	35.3
	22.675	20.9		34.825	32.5
	23.381249999999998	22.7		35.51875	32.5
	22.593749999999996	23.8		35.41875	32.4
	22.674999999999997	26.8		35.193749999999994	33.6
	23.18125	27.8		35.131249999999994	35.4
	22.799999999999997	28.5		35.625	37
	22.4	27.3		35.525	37.1
	23.237500000000004	24		35.48125000000001	34
	21.48125	26.7		34.59374999999999	32.6
	22.06875	22.6		33.66875	30.9
	21.674999999999997	24.2		33.612500000000004	31.3
	22.400000000000002	26.1		34.199999999999996	32.1
	22.362499999999994	26.4		34.400000000000006	32.6
	22.7375	24.4		34.693749999999994	31.5
	22.5625	23.6		34.6875	32.2
	22.468749999999996	26.9		34.46875	33.7
	21.837500000000002	26.1		34.3375	34.2
	22.531249999999996	23.8		34.3625	32.1
	23.012500000000003	25.3		34.475	32
	22.04375	26.6		34.06875000000001	33.6
	21.631250000000005	27.6		33.74374999999999	35.1
	21.668749999999996	25		34.0625	33.3
	22.0375	24.2		34.03125	33.3
	21.506249999999998	24.7		34.106249999999996	34
	21.162499999999998		26.7	33.762499999999996		35
Aug.	20.875		27.2	33.493750000000006		36.3
	21.049999999999997		28.9	33.23125		36.6
	21.062500000000004		30	32.9		36.9
	20.731250000000003		29.5	33.15625		37.6
	20.85625		28.5	33.40625		37
	21.499999999999996		24.1	33.443749999999994		34.9
	20.875		22.1	33.1625		31.9
	20.849999999999998		20.8	32.63125		32.5
	20.693749999999998		20.3	32.2875		32.3
	20.618750000000002		20	32.35625		31.8
	20.15		20.2	31.675		31.4
	19.924999999999997		19.7	31.0875		31.3
	19.3625		19.4	30.65625		30.8
	19.312500000000004		19	30.71875		30.7
	19.025000000000002		18.8	30.40625		30.4
	19.081249999999997		18.9	30.949999999999996		30.8
	19.118750000000002		19.2	30.81875		30.6
	19.612499999999997		19.3	30.94375		30.8
	19.24375		19	30.837500000000002		30.7
	19.40625		19.4	30.912499999999998		30.7
	18.90625		18.7	30.787499999999994		30.8
	18.8625		18.9	31.337500000000002		31.4
	19.075000000000003		18.4	31.36875		31.2
	19.187500000000004		19	31.337500000000006		30.9
	18.125		17.9	30.737500000000004		30.5
	18.26875		18	30.506250000000005		30.3
	17.9875		18.1	30.275000000000002		30.2
	17.83125		17.5	29.850000000000005		29.6
	17.6		17.7	29.16875		29.3
	17.53125		17.2	29.237500000000004		28.9
	17.637499999999996			29.181249999999995
Sep.	16.775000000000002			28.60625
	16.59375			28.41875
	16.581249999999997			27.95625
	16.381249999999998			27.718749999999996
	16.33125			27.618750000000002
	16.10625			27.9875
	15.893749999999999			27.731250000000003
	15.73125			27.8
	15.88125			28
	16.275			28.031250000000004
	15.756250000000001			27.499999999999996
	14.6625			26.693749999999998
	14.7			26.331250000000004
	14.525000000000002			26.150000000000002
	14.081249999999999			25.24375
	13.61875			24.724999999999998
	13.687500000000002			25.06875
	13.59375			24.7375
	13.543749999999998			25.1375
	13.53125			24.7125
	12.96875			23.656249999999996
	12.462499999999999			23.225
	11.9			23.05
	12			22.362500000000004
	12.3			22.818749999999998
	11.956249999999999			22.70625
	12.081249999999999			22.58125
	11.2625			22.625
	11.487499999999999			21.66875
	11.11875			22.46875
Oct.	11.2625			22.106249999999996
	11.3625			22.5625
	10.612499999999997			21.275
	9.6625			21.25
	10.450000000000001			21.125
	10.981250000000001			20.731250000000003
	9.568749999999998			19.6125
	8.7375			18.94375
	8.512500000000001			18.612500000000004
	8.66875			19.224999999999998
	8.875			19.331249999999997
	9.7			18.756249999999998
	9.4625			18.087499999999995
	8.575000000000001			17.21875
	8.2875			17.2125
	8.33125			16.843749999999996
	7.64375			16.9625
	7.418750000000001			15.962500000000002
	6.875			15.10625
	7.03125			14.968749999999998
	5.9437500000000005			14.312499999999998
	5.731249999999999			14.518749999999999
	5.9875			14.681250000000002
	5.262500000000001			14.381250000000001
	5.00625			13.625
	4.60625			13.924999999999999
	4.0625			14.4125
	4.625			13.96875
	4.7749999999999995			13.90625
	4.24375			13.43125
	4.0125			11.981249999999998
Nov.	3.4812499999999997			12.49375
	2.9750000000000005			12.275
	3.1499999999999995			12.0375
	3.4124999999999996			12.056249999999999
	3.0562500000000004			12.250000000000002
	3.45			11.20625
	2.8625000000000003			10.50625
	2.6437500000000003			10.456249999999999
	2.025			10.012500000000001
	1.2874999999999999			9.893749999999999
	1.1062500000000002			8.700000000000001
	0.9562500000000002			9.5
	1.375			10.262499999999998
	1.425			10.4625
	1.36875			10.65
	1.8187499999999999			10.562499999999998
	1.53125			10.86875
	1.80625			10.43125
	1.9000000000000004			9.91875
	0.46249999999999997			8.693750000000001
	0.38749999999999996			8.662500000000001
	0.6312500000000002			8.375
	0.575			7.718750000000001
	-0.8375000000000006			7.431250000000001
	-0.6875000000000002			8.425
	-1.1500000000000004			7.54375
	-1.2749999999999997			7.5375000000000005
	-1.54375			7.612500000000001
	-0.2812499999999999			7.74375
	-0.24999999999999983			7.637499999999999
Dec.	-1.2062500000000003			7.093749999999998
	-1.3875000000000002			6.68125
	-1.3625000000000007			6.1625000000000005
	-1.4187500000000004			6.5
	-1.79375			6.987500000000001
	-1.3000000000000003			7.300000000000001
	-1.3875000000000002			6.768750000000001
	-1.9000000000000004			6.8687499999999995
	-1.54375			7.20625
	-0.9124999999999999			7.487499999999999
	-1.2374999999999998			7.4312499999999995
	-1.0874999999999997			7.34375
	-1.1625000000000003			7.412499999999999
	-1.35625			7.08125
	-2.2937499999999997			6.6875
	-1.85			6.637500000000001
	-1.673333333333333			7.686666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

38°C

Highest Temp

11 Jul. 26

-9°C

Lowest Temp

22 Jan. 26

Seasonal Breakdown

Hottest MonthJuly34.42°C

Coldest MonthJanuary-0.15°C

Wettest MonthMarch3.65mm

Windiest MonthMay25.29km/h

Mohammad Shahr 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 Mohammad Shahr historically?

July is historically Mohammad Shahr's hottest month, with average maximum temperatures around 35°C. During peak heatwave events, the highest recorded temperatures have reached 40°C on 2023-08-03.

2. What is the coldest month in Mohammad Shahr historically?

January is Mohammad Shahr's coldest month, with average minimum temperatures around -3°C. The all-time record low of -19°C was recorded on 2012-02-05.

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

Mohammad Shahr's average annual rainfall is approximately 326.4mm, based on records spanning 17 years.

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

Mohammad Shahr historically records approximately 98.4 rainy days per year. March has the highest number of rain days at an average of 15.7 days.

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

The all-time highest temperature recorded in Mohammad Shahr is 40°C on 2023-08-03.

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

The all-time lowest temperature recorded in Mohammad Shahr is -19°C on 2012-02-05.

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

Mohammad Shahr experiences its strongest winds during June. The historic gust record of 41.4 kph was recorded on 2026-06-11.

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

Usually, Mohammad Shahr's humidity peaks in February at around 53.2% and drops to its lowest in July at approximately 23.4%.

Recent Blogs On Weather

See all blogs

Mohammad Shahr Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Mohammad Shahr 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

Mohammad Shahr Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Mohammad Shahr 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

Mohammad Shahr Historic Weather Records
Analyse hottest, coldest, windiest & wettest days