Pak Se District Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Pak Se District Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	17.056250000000002	15.9		29.450000000000003	31
	17.69375	16.4		29.681250000000002	30.4
	18.256249999999998	13.8		30.6375	29.7
	18.575000000000003	13.6		30.512500000000003	29.2
	18.6375	14.1		30.968750000000004	30.4
	19.025	15		30.881249999999994	29.9
	19.09375	13.9		30.925	28.6
	19.0875	11.8		30.781249999999996	26.7
	18.775	9.8		30.3625	26.9
	18.893749999999997	10.6		30.13125	27.8
	18.31875	10.8		29.8875	28.3
	18.174999999999997	12		29.1875	29.7
	17.675	14.7		29.775	30.1
	17.45625	16.5		30.15	31.7
Jan.	17.625	17.6		30.224999999999998	32.5
	17.993750000000002	17.9		30.368750000000002	33.1
	17.431250000000002	19.4		30.29375	34.3
	17.2125	18.6		30.012500000000003	33.8
	16.85625	17.5		30.49375	33.5
	17.81875	17		31.249999999999996	34.2
	18.150000000000002	17.2		31.231250000000006	33.4
	18.53125	15.3		31.456249999999997	32.8
	18.6125	14.2		31.093749999999996	32.1
	18.075000000000003	13.8		30.5125	32.1
	18.025000000000002	14.5		31.14375	32.7
	18.04375	15.8		31.287499999999998	33.4
	18.11875	15.9		31.350000000000005	33.5
	18.181249999999995	15.6		31.168749999999996	34.1
	18.2125	15.7		30.956249999999997	33.5
	18.243750000000002	17		30.975000000000005	34.1
	18.325	17.3		31.70625	35.4
	18.54375	15.1		32.112500000000004	34.4
	19.443749999999998	14.8		32.356249999999996	34.2
	19.362499999999997	14.5		32.637499999999996	33.9
	19.3375	15.9		32.2875	34.7
	19.118750000000002	18.7		32.550000000000004	36.3
	18.743750000000002	20.2		32.05	37.4
	19.118750000000002	23.8		32.96875	35.8
	19.3875	22.9		33.037499999999994	34.5
	19.662499999999998	17.2		33.09375000000001	35.3
	19.5875	16		32.83125	36.4
	19.2625	18		33.10625	36.8
	19.4	19		33.4	36.2
	19.556249999999995	19.9		33.46875000000001	36.8
	19.650000000000002	19.1		33.1375	37.1
Feb.	19.7875	19.6		33.66875	38.6
	20.381249999999998	21.1		33.85625	39.5
	20.15	21		33.70625	38
	20.193749999999998	19.7		33.775	38
	20.30625	19.5		33.3	36.9
	19.8875	18.1		32.925	36.5
	20.112500000000004	18.3		32.981249999999996	36.9
	20.806250000000006	20.4		33.83125	38.4
	21.187499999999996	21.9		33.5	38
	20.912500000000005	23.2		33.24375	38.5
	20.906249999999996	25.5		34.3	38.3
	20.7875	22		34.025000000000006	34.2
	20.725	21.6		34.325	34.7
	21.381249999999998	20.4		35.237500000000004	35.3
	21.618750000000002	22.9		35.356249999999996	35.9
	22.06875	23.1		35.19375	35.4
	21.69375	23.6		35.21875	34.8
	22.0875	21.5		35.2125	33.1
	22.518749999999997	20.1		35.54375	31.2
	22.475	19.4		35.356249999999996	33.6
	22.587500000000002	21.1		35.506249999999994	34.9
	22.1125	20.6		34.931250000000006	35.4
	21.86875	18.9		34.63125	35.3
	21.81875	20.4		34.63125	34.6
	22.175	17.8		35.5	34.9
	22.593749999999996	19.4		35.20625	34.6
	22.500000000000004	18.9		35.25	33.8
	22.74375	18.3		35.800000000000004	33.4
Mar.	23.512500000000003	18.3		35.575	35
	23.23125	20.2		35.3125	36.3
	22.943749999999998	20.5		35.31249999999999	36.2
	23.193750000000005	21.4		35.4125	37.2
	23.343749999999996	23.8		35.2625	37.3
	23.499999999999993	21.1		35.22500000000001	37.4
	23.09375	22.1		34.4	36.9
	22.94375	25.6		34.71875	38
	22.74375	25.4		34.96875	38.8
	23.262500000000006	23.3		34.93750000000001	39.5
	23.468749999999996	23.8		34.94375	39.5
	23.0375	22.1		34.643750000000004	39.9
	22.749999999999996	22.3		35.15	39.8
	23.118750000000002	21.6		35.037499999999994	40
	23.15	22.3		34.53125	39.1
	23.462500000000002	21.9		35.074999999999996	39.8
	23.13125	22		35.2	39.5
	23.23125	23.3		34.912499999999994	39.6
	23.306250000000006	24.5		34.30625	39.4
	23.468749999999993	22.5		35.287499999999994	39.1
	23.86875	22.4		35.150000000000006	39
	24.437499999999996	23.7		35.599999999999994	40.3
	24.381249999999994	24.1		35.59375	39.7
	24.00625	23.9		35.6875	40.3
	23.981250000000003	23.7		35.2875	41.1
	23.593750000000004	23.8		35.16875	40.8
	23.71875	24		35.4	40.8
	24.475	24.2		35.818749999999994	40.8
	24.65	24.8		36.25	40.9
	24.125	25.4		35.1875	40.7
	24.1	24.9		35.6125	40.7
Apr.	24.5	26.3		35.25625	40
	24.593749999999996	24.1		35.10625	38.5
	24.268749999999997	22.5		34.65	38.6
	24.356249999999996	22.4		34.81875	37.9
	24.35	22.1		35.03125000000001	37.3
	24.337500000000002	21.4		35.50625	34.4
	24.787499999999998	22.1		35.7	35.5
	25.10625	23.8		35.85625	37.2
	24.8	24.2		35.4875	38.6
	24.612499999999997	24.4		35.7625	40.4
	24.706249999999997	23.9		35.71875	39.8
	24.900000000000002	22.6		35.46875	37.8
	24.54375	22.8		35.45	35.6
	24.71875	22.6		35.068749999999994	35.2
	24.275	22.7		34.1	35.8
	23.89375	22.5		34.08125	35.7
	24.3875	22.6		34.825	37.5
	24.41875	22.4		34.6625	36.2
	24.60625	23.4		34.5625	37.8
	24.349999999999998	22.2		34.28125000000001	37.2
	24.28125	22.7		35.0375	36.1
	24.91875	23.4		35.03124999999999	37.8
	24.799999999999997	24.1		34.925	40
	24.618749999999995	24		34.83125	37.7
	24.65625	23.3		34.15624999999999	38.2
	24.20625	25.1		34.10625	38.2
	24.437500000000004	24.7		34.00625	38.1
	24.400000000000006	25.5		34.0875	37.6
	24.112500000000004	22.6		33.79375	36
	24.518749999999997	24.6		33.6	36.5
May	24.318749999999998	24.3		33.44375	35.5
	24.65625	23.2		33.7625	32
	24.325000000000003	22.3		33.8875	32.1
	24.112500000000004	22.7		33.081250000000004	31.6
	24.05	22.6		33.34375	32.2
	24.4	23.3		33.6375	29.4
	24.3875	23.7		33.4375	33.1
	24.181250000000002	22.9		32.86875	33.5
	24.2875	24.9		33.275	35.8
	23.9125	25.3		31.85625	36.5
	23.581250000000004	24.9		31.918750000000006	35.9
	23.431250000000002	22.8		31.049999999999997	37.5
	23.399999999999995	23.6		31.912499999999998	37.8
	23.556250000000002	24.2		31.75625000000001	35.7
	23.724999999999998	23.1		31.775	35.9
	23.56875	24.3		31.85625	34.6
	23.71875	23.5		32.33125	33.4
	23.837500000000002	22.6		32.54375	34.2
	24.006250000000005	23.2		31.71875	34.9
	23.837500000000002	23.4		31.924999999999997	32.7
	23.8375	23.3		31.95	32.6
	23.781250000000004	23.7		31.812499999999996	32.9
	23.6	23.2		31.575	31.7
	23.2875	23.4		31.39375	33.7
	23.35625	23.6		31.49375	35.1
	23.456249999999997	23.2		31.50625	32.1
	23.474999999999998	23.3		31.081249999999997	30.7
	23.700000000000003	23.2		30.474999999999998	28.9
	23.762500000000003	22.2		30.474999999999998	33.6
	23.306250000000002	23.6		30.612499999999997	33.4
	23.424999999999997	24.2		31.006249999999998	32.9
Jun.	23.437500000000004	22.9		31.049999999999997	32.3
	23.2125	24.2		31.4625	32.5
	23.368750000000002	23.4		30.599999999999998	33.1
	23.275000000000002	23		30.075000000000003	34.6
	23.112500000000004	23.2		31.175000000000004	33.6
	23.29375	23.2		31.44375	34.1
	23.381250000000005	25.9		31.037500000000005	35.3
	23.387500000000003	23.8		30.3125	35.5
	23.28125	23.8		30.093749999999996	34.6
	23.03125	23.4		29.918749999999996	36
	22.9625	23.2		30.281250000000007	33.6
	22.981250000000003	23.5		29.90625	32.5
	22.98125	23.5		30.574999999999996	32.3
	23.15625	23.3		30.71875	32.4
	23.112499999999997	23.1		30.575	32.6
	22.918750000000003	23.2		30.300000000000004	30
	22.875000000000004	23.4		30.274999999999995	31.8
	22.718749999999996	23.3		29.606249999999996	30.6
	22.71875	23.5		30.04375	27.9
	22.724999999999998	23.4		30.243749999999995	25.1
	23.0875	22.3		30.50625	23.2
	22.75	22.4		30.556250000000002	23.9
	23.04375	22.2		29.906249999999993	24.4
	22.987499999999997	21.7		30.1875	28.6
	22.806249999999995	21.8		29.58125	29.9
	22.700000000000003	21.9		30.243749999999995	29.4
	22.799999999999997	21.9		30.425000000000004	25.4
	22.7125	21.8		30.325000000000006	26.7
	22.725	22.3		30.056250000000002	28.8
	22.743749999999995	22.3		29.9625	27.8
Jul.	22.60625	22.2		29.781249999999996	27.1
	22.6375	21.7		29.025000000000002	28.7
	22.724999999999998	22.4		29.0125	27.8
	22.656250000000004	22.3		29.7125	31.4
	22.91875	21.8		29.3375	32.5
	22.674999999999997	21.5		29.11875	31.8
	22.71250000000001	21.9		28.968749999999996	32.4
	22.537499999999998	22.5		29.206250000000004	30.1
	22.756249999999998	22.5		29.237500000000004	28.6
	22.625	22.5		29.175	29.7
	22.549999999999997	22.9		28.793750000000003	31
	22.5	22.7		28.9	28.6
	22.468749999999996	22.9		29.275	28.1
	22.687499999999993	23		28.843749999999996	25.7
	22.5625	22.7		29.15625	27.9
	22.456250000000004	22.4		28.412499999999998	29.6
	22.61875	23.2		28.712500000000002	25.7
	22.5375	23.1		28.775000000000002	27.3
	22.60625	22.7		28.768749999999997	28.7
	22.50625	22.6		28.88125	28.9
	22.331249999999997	22.4		28.968749999999996	26.5
	22.49375	22.6		29.200000000000003	25.9
	22.687499999999996	22.5		29.762500000000003	28.1
	22.73125	23		29.500000000000004	27.3
	22.625	22.9		30.037500000000005	25.5
	22.599999999999998		22.9	29.356249999999996		25.3
	22.46875		22.6	29.525		27.2
	22.775		22.5	29.687500000000004		27
	22.58125		22.6	29.518750000000004		28
	22.64375		21.8	29.81875		29.6
	22.76875		22.7	29.893749999999997		29.1
Aug.	22.73125		22.5	30.193750000000005		29.1
	22.6		22.3	29.881250000000005		28.7
	22.593749999999996		22.4	29.73125		27.7
	22.637500000000003		22.7	30.050000000000004		30.3
	22.831249999999997		22.8	30.206249999999997		30.2
	22.775		22.9	29.956250000000004		30
	22.71875		22.7	29.91875		30.1
	22.65		22.7	30.143750000000004		30.2
	22.86875		22.7	30.2625		30.1
	22.8		22.7	29.64375		29.7
	22.537499999999998		22.6	29.41875000000001		29.5
	22.431250000000002		22.4	29.087500000000002		29.3
	22.456249999999997		22.5	29.187499999999996		28.9
	22.59375		22.4	28.825000000000003		29.1
	22.393750000000004		22.4	28.9375		29.1
	22.231250000000003		22.2	28.974999999999998		28.8
	22.256249999999998		22.2	29.362499999999997		29.4
	22.381249999999998		22.6	29.562499999999993		29.6
	22.9125		22.7	29.374999999999996		29.5
	22.481249999999996		22.5	29.50625		29.3
	22.481250000000003		22.4	29.256249999999998		28.9
	22.362499999999997		22.4	29.1625		29
	22.537499999999998		22.5	29.425		29.5
	22.73125		22.6	29.64375		29.9
	22.631249999999998		22.6	30.00625		29.9
	22.681250000000002			29.9875
	22.60625			29.506249999999998
	22.5			29.581249999999997
	22.39375			29.381249999999998
	22.39375			29.074999999999996
	22.281249999999996			28.75
Sep.	22.175000000000004			28.20625
	22.25			29.549999999999997
	22.331249999999997			29.59375
	22.499999999999996			29.550000000000004
	22.650000000000002			29.425
	22.493750000000002			29.28125
	22.475000000000005			29.112499999999997
	22.224999999999998			28.7625
	22.156249999999996			28.90625
	22.2875			28.749999999999993
	22.206249999999997			29.106250000000003
	22.143749999999997			29.418750000000006
	22.5			29.874999999999996
	22.5125			29.762499999999996
	22.318749999999998			29.943749999999998
	22.46875			29.8875
	22.3375			30.493750000000002
	22.48125			29.962499999999995
	22.337499999999995			29.793750000000006
	22.125000000000004			29.44375
	21.94375			29.59375
	22.187500000000004			29.4375
	22.15625			29.518750000000004
	22.025000000000006			29.3875
	21.95			29.881249999999998
	22.01875			29.856249999999996
	21.725			29.462500000000002
	21.53125			29.912499999999998
	21.65			29.581250000000004
	21.337500000000002			28.931250000000002
Oct.	21.506249999999994			28.625
	21.687499999999993			29.250000000000004
	21.525000000000002			29.131249999999998
	21.30625			29.687499999999996
	21.325000000000003			29.75625
	21.293749999999996			30.33125
	21.412499999999998			30.412500000000005
	21.51875			30.093750000000004
	21.23125			29.875
	21.40625			30.00625
	21.5125			29.775
	21.10625			29.718750000000004
	21.03125			29.712499999999995
	21.26875			29.693749999999998
	21.181250000000002			29.41875
	20.799999999999997			29.662499999999998
	20.775			29.2875
	20.443749999999998			29.5375
	20.193750000000005			30.018750000000004
	19.91875			30.00625
	20.1875			29.75
	20.7875			29.668750000000003
	21.1125			29.55
	21.2125			30.0375
	21.412499999999998			30.09375
	21.01875			29.993750000000002
	20.931250000000002			29.76875
	20.70625			30.0625
	20.83125			30.3625
	20.875000000000004			29.9625
	20.75625			30.2625
Nov.	20.981249999999996			29.724999999999998
	21.381249999999998			29.7375
	20.775			29.85
	20.662499999999998			30.11875
	20.187500000000004			30.18125
	20.2375			29.6875
	20.39375			30.418749999999996
	20.59375			30.700000000000003
	20.825000000000006			30.41875
	20.381249999999998			30.062500000000004
	20.418750000000003			30.031250000000007
	20.287499999999994			29.74375
	19.65			30.05
	19.893749999999997			30.056250000000006
	20.075000000000003			29.956249999999997
	19.987499999999997			30.1375
	20.23125			30.2375
	19.775			30.025000000000006
	19.38125			29.73125
	19.35625			29.75
	19.11875			29.475
	18.950000000000003			29.474999999999998
	18.556250000000002			29.318749999999998
	18.431250000000002			29.15625
	18.631249999999998			29.175
	18.474999999999998			29.4875
	18.493750000000002			29.725
	18.75625			29.54375
	19.043750000000003			30.062500000000004
	19.0375			29.89375
Dec.	19.58125			30.137500000000003
	19.181250000000002			29.368749999999995
	18.15			27.818749999999998
	17.181250000000002			28.15625
	17.45625			28.818750000000005
	17.36875			29.125000000000004
	17.9375			29.31875
	17.83125			29.243750000000002
	18.131249999999998			29.224999999999998
	18.256249999999998			29.187499999999993
	17.856250000000003			28.856250000000006
	17.69375			29.125
	17.89375			29.612499999999997
	18.01875			29.637499999999996
	17.925			29.4125
	17.781249999999996			30.031249999999996
	17.126666666666665			29.086666666666662

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

41°C

Highest Temp

8 Apr. 26

10°C

Lowest Temp

9 Jan. 26

Seasonal Breakdown

Hottest MonthApril38.72°C

Coldest MonthJanuary15.14°C

Wettest MonthAugust23.08mm

Windiest MonthApril13.56km/h

Pak Se District 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 Pak Se District historically?

April is historically Pak Se District's hottest month, with average maximum temperatures around 35°C. During peak heatwave events, the highest recorded temperatures have reached 42°C on 2024-04-30.

2. What is the coldest month in Pak Se District historically?

January is Pak Se District's coldest month, with average minimum temperatures around 18°C. The all-time record low of 10°C was recorded on 2026-01-09.

3. What is the average annual rainfall in Pak Se District over the past 17 years?

Pak Se District's average annual rainfall is approximately 2374.9mm, based on records spanning 17 years.

4. How many rainy days does Pak Se District experience on average per year?

Pak Se District historically records approximately 220.1 rainy days per year. July has the highest number of rain days at an average of 30.8 days.

5. What is the all-time highest temperature ever recorded in Pak Se District?

The all-time highest temperature recorded in Pak Se District is 42°C on 2024-04-30.

6. What is the all-time lowest temperature ever recorded in Pak Se District?

The all-time lowest temperature recorded in Pak Se District is 10°C on 2026-01-09.

7. What is the windiest time of year in Pak Se District historically?

Pak Se District experiences its strongest winds during December. The historic gust record of 34.9 kph was recorded on 2025-01-26.

8. What is the highest and lowest humidity in Pak Se District during a year?

Usually, Pak Se District's humidity peaks in August at around 88.03% and drops to its lowest in March at approximately 50.8%.

Recent Blogs On Weather

See all blogs

Pak Se District Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Pak Se District 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

Pak Se District Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Pak Se District 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

Pak Se District Historic Weather Records
Analyse hottest, coldest, windiest & wettest days