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

Weifang Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-3.9937499999999995	-3.8		5.718750000000001	1.3
	-3.7687500000000007	-5.1		4.5375	1.4
	-3.8500000000000005	-2.4		4.3812500000000005	5.5
	-3.9062499999999996	-0.5		4.3125	5.7
	-3.93125	-1.2		3.5625000000000004	5.3
	-4.4875	0.3		3.3125000000000004	6.8
	-4.48125	-2		2.8625000000000003	3.8
	-4.6000000000000005	-3.4		3.525	6.5
	-4.9437500000000005	-0.3		2.5937500000000004	9.5
	-5.03125	-2.5		3.5249999999999995	3.8
	-4.49375	-5.9		3.125	-1.1
	-4.44375	-3.3		4.2875	8.1
	-4.15	-2.3		4.9875	4
	-4.075	0.2		4.79375	9
Jan.	-4.6625	0.8		3.2937500000000006	11.2
	-4.531249999999999	-2.3		3.5375	6.1
	-4.3812500000000005	-5		4.35625	2
	-3.75625	-3.6		5.587500000000001	-1
	-3.0374999999999996	-5.1		5.393750000000001	-2.1
	-3.70625	-8.2		3.625	-2.4
	-3.81875	-9.9		3.76875	-1.9
	-4.4125000000000005	-9.4		3.1937499999999996	0.9
	-5.5875	-5		3.0187500000000007	3.5
	-4.9625	-4.1		3.325	4.9
	-4.66875	-3		3.7750000000000004	2.5
	-4.2875	-1.8		4.13125	5.6
	-4.1	-4.2		4.325	4.3
	-4.0375	-2.2		3.962499999999999	6.8
	-4.275	-2.6		4.7875	2.7
	-3.4187499999999997	-2.7		5.362500000000001	3.4
	-2.8875	-2.7		6.156249999999999	4.9
	-3.78125	-2.3		4.05	8.8
	-4.2375	-3		4.24375	3.9
	-3.7625	-1.1		4.656250000000001	9.6
	-4.175	2		4.69375	12.9
	-3.48125	-3.8		4.625	7.8
	-3.5875	-7.1		4.637499999999999	-3.7
	-4.63125	-8.6		2.8249999999999997	-0.3
	-4.674999999999999	-8.1		4.018750000000001	3.2
	-4.025	-2.3		5.10625	8.6
	-2.9125000000000005	-0.1		6.14375	9.3
	-2.2625000000000006	-1.1		7.83125	10.3
	-1.5812500000000003	3.1		7.249999999999999	15.7
	-1.4375	4.9		8.675	16.5
	-2.3249999999999997	5.4		7.3125	18.8
Feb.	-2.7437499999999995	0.4		5.59375	5.6
	-3.1374999999999993	-2.4		6.231249999999999	5.8
	-2.8249999999999997	-1.2		5.781249999999999	10.6
	-1.8562499999999997	0.3		7.631250000000001	7.9
	-1.31875	2.2		9.5875	16
	-1.6624999999999999	6.4		8.131250000000001	20
	-0.8437500000000001	10.3		9.312500000000002	23.8
	-1.45	1.2		7.7875000000000005	15.5
	-1.8250000000000002	-0.9		9.26875	6.3
	-0.76875	1.5		9.1875	8.5
	-0.8375000000000001	1.4		9.793750000000001	14.2
	-0.85625	2.5		10.243750000000002	9.4
	0	0.1		11.0625	9
	1.6124999999999998	-0.8		10.775	11.5
	-0.7437499999999999	2.7		7.825	5
	-1.6125000000000003	1.6		10.58125	3.4
	0.8312500000000002	1.1		11.8625	7.3
	1.45625	1.2		12.59375	10.2
	0.95625	2.2		11.475000000000001	7.1
	0.23125000000000004	-1.3		10.5125	4.2
	0.49999999999999994	-1.6		11.99375	7.5
	1.35	0.4		12.53125	11.6
	0.9750000000000001	1.8		12.64375	8.1
	1.5624999999999998	1.5		13.9125	15.1
	2.56875	4.9		15.39375	14.3
	2.63125	1.7		12.950000000000003	9.9
	2.8375	2		14.512500000000001	16
	3.0875000000000004	3		15.212499999999999	11.4
Mar.	2.85625	2.6		14.362499999999999	10.6
	2.975	2.8		14.968750000000004	13.4
	3.39375	5.2		15.087500000000002	16
	3.88125	1.2		14.299999999999997	8.5
	4	0.9		15.800000000000002	14.3
	3.83125	6.3		13.1875	17
	2.9375	7.1		14.31875	19.3
	4.03125	8.9		16.299999999999997	17
	4.906250000000001	8.2		16.737499999999997	18.2
	4.6125	8.4		16.61875	19.8
	4.74375	10.3		16.3	24.6
	5.11875	14.6		17.906249999999996	26.2
	5.5874999999999995	12		18.418749999999996	20.3
	6.1499999999999995	9.7		17.2375	24.3
	5.41875	13.3		18.05625	23.7
	6.318750000000001	6.6		17.7875	16.1
	6.56875	5.5		19.418750000000003	20.7
	6.824999999999999	6.4		18.2	16.2
	6.874999999999999	6.7		18.749999999999996	24.7
	5.91875	13.1		17.56875	25.6
	6.187500000000001	5.2		18.474999999999998	15.5
	6.499999999999999	10.6		17.162499999999998	21.7
	5.94375	6.5		17.793750000000003	18.2
	6.70625	5.6		19.924999999999997	14.8
	7.843750000000001	7.7		21.056250000000002	19.8
	9.000000000000002	9		21.412499999999998	14.5
	8.4125	9		20.875	22.1
	8.30625	11.6		19.91875	24.4
	7.731249999999999	12.4		19.45625	25.4
	8.412500000000001	12		19.4875	24
	8.65	12.7		21.35625	24.7
Apr.	9.375	14.4		22.9375	26.6
	10.124999999999998	12.7		23.10625	23.8
	9.906249999999998	12.8		21.993750000000002	26.5
	9.8875	14.9		21.343749999999996	28.9
	9.59375	13.4		22.293750000000003	27.8
	10.34375	7		22.98125	19.1
	10.1125	10		20.68125	23.1
	9.40625	9.5		19.743750000000002	19.6
	10.05	12.7		22.156250000000004	24.6
	10.618750000000002	13		22.0875	27.7
	10.5875	13.5		22.15625	27.2
	11.062499999999998	13.8		22.243749999999995	27
	10.3125	10.5		22.218750000000004	24
	11.05	9.4		23.275	18.7
	11.9125	9.6		24.9375	22.7
	12.625	11.6		25.562499999999996	24.6
	12.5375	14.3		26.231250000000003	29.8
	13.618749999999999	14.6		26.406249999999996	20.5
	13.162500000000001	9.4		25.462500000000002	18
	13.875	9.3		25.687499999999996	24.5
	13.55625	14.1		25.212499999999995	30.6
	13.1375	17.1		24.974999999999998	31.1
	13.187500000000002	12.7		25.787500000000005	19.4
	13.293749999999998	11.5		24.256249999999998	25.6
	12.4875	14.7		23.2625	28.5
	12.46875	16.8		24.368750000000002	31
	13.19375	16.8		25.206249999999997	26.5
	14.156250000000004	15.3		27.093749999999996	31.8
	15.312499999999996	18.7		27.556250000000002	35
	14.456250000000002	16.6		27.368750000000002	31.1
May	14.749999999999998	16		27.475	29
	14.875000000000002	14.4		26.775000000000002	28.9
	15.30625	15.8		27.575	26.9
	16.2625	17.2		28.512500000000003	19.8
	15.9875	16.5		29.80625	19.7
	16.93125	15.1		28.031250000000004	17.3
	15.9625	14.2		28.55625	26.1
	17.0125	16.4		29.324999999999996	25.7
	16.806250000000002	16.3		29.431249999999995	30
	16.631249999999998	17.1		29.15	27.5
	16.587500000000002	18		28.7	22.8
	16.85	16.1		29.787499999999998	17.1
	17.85	16.2		29.150000000000002	24.2
	18.412499999999998	19		30.131249999999998	28.9
	18.08125	17.7		31.0125	31.5
	18.6	21		30.975	35
	18.593750000000004	22.2		30.918750000000003	33.4
	18.16875	21.7		29.66875	33.4
	17.66875	18.8		30.39375	34.2
	18.41875	20.3		31.3625	32.5
	18.5875	17.2		31.375	24.3
	18.78125	15.9		32.2375	28.9
	19.54375	16.1		31.418749999999996	25.8
	19.45625	16.2		32.09375	23.9
	20.025000000000002	17.6		32.46875	32.1
	19.993749999999995	18.2		31.700000000000003	30.6
	19.531249999999996	16.6		29.612499999999997	26.8
	18.874999999999996	19		30.60625	30.6
	19.63125	20.4		32.150000000000006	36.1
	19.76875	21.8		31.47500000000001	35.1
	19.5625	19.6		32.2375	29.4
Jun.	20.387500000000003	18.8		31.93125	30.5
	20.61875	18.9		32.09374999999999	33
	20.9	20.9		32.49375	35.4
	21.3625	23.4		32.90625	35.4
	20.999999999999996	21.7		31.8	27.5
	20.812499999999996	20.3		32.1125	32.9
	21.65	20.2		33.475	31.4
	21.875000000000004	20.9		33.3	33.3
	21.762500000000003	19.6		32.3	32.4
	20.943749999999998	20.2		31.90625	34.3
	20.437499999999996	19.6		30.200000000000003	31.2
	20.274999999999995	18.9		30.318749999999998	32.6
	21.53125	21.5		32.225	35.9
	22.1	22.8		33.15	37.1
	21.54375	22.4		32.087500000000006	31.7
	21.80625	21.2		32.06875	32.1
	22.387500000000003	21.5		32.89375	28.4
	22.362499999999997	22.1		31.968750000000004	34.4
	22.08125	24.8		31.84375	33.1
	22.425	22.4		33.51875	34.6
	23.025	22.6		33.2625	39.5
	22.525	21		31.700000000000003	34.3
	22.400000000000002	22		32.9125	25.6
	22.581249999999997	21.4		33.387499999999996	34.8
	23.399999999999995	22.3		32.275	36.8
	23.393750000000004	25.2		31.8375	35.1
	22.943749999999998	25		33.24375	35.9
	23.775	24		32.58125	28.5
	23.306250000000002	24.8		32.543749999999996	28.5
	23.575000000000003	23.3		33.256249999999994	29.6
Jul.	23.01875	22.2		32.487500000000004	26.8
	22.7	23.8		31.26875	31.3
	22.25	19.7		31.881249999999998	25.1
	22.775	20		31.831249999999997	29.7
	23.175	22.7		31.206249999999997	31.8
	23.031249999999996	20.9		31.775000000000002	30.9
	23.2625	22.2		33.04375	34.1
	23.88125	23.7		33.13125	33.1
	23.74375	22		31.799999999999997	34.2
	23.731250000000003	23.9		32.568749999999994	32.9
	24.15625	24		33.45	35
	24.081249999999997	24.9		33.331250000000004	34.7
	23.987499999999997	26		32.3	33.5
	23.868750000000002	25.1		32.225	34.1
	24.106250000000003	24.9		32.231249999999996	34.5
	24.231249999999992	26.3		32.0375	35.6
	24.556250000000006	27		32.97500000000001	36.1
	24.36875	26.9		32.05	36.7
	24.268749999999997	27.6		31.5625	36.7
	24.212500000000002	26.9		32.43749999999999	36.5
	24.431250000000006	24.9		32.66875000000001	37.6
	24.2875	23.7		32.33125	35.9
	24.025000000000006	24.8		31.443749999999998	37
	23.70625	25.4		31.387500000000003	36.1
	23.53125	21.8		31.775	29.7
	23.1375	21.4		30.425000000000004	31.6
	22.9625	23.5		31.318749999999998	32.4
	23.550000000000004	24.1		32.112500000000004	27.1
	23.412499999999998		23.3	31.525000000000002		28.3
	23.3		22	30.6875		29
	23.106249999999996		21.5	31.25		29.7
Aug.	22.975		21.2	31.26875		31.2
	22.55		21.3	30.987499999999997		32.8
	22.156250000000004		21.6	30.8875		34.1
	22.081249999999997		22.7	30.418750000000003		33
	22.493750000000002		22.5	30.750000000000004		34.4
	22.18125		21.8	29.831250000000004		29.3
	21.5125		21.2	30.28125		30.4
	21.512500000000003		21.1	29.931249999999995		29.9
	20.918750000000003		20.8	29.54375		29.8
	20.58125		20.7	29.099999999999998		29.5
	20.581249999999997		20.6	29.35625		29.1
	20.299999999999997		20.2	29.768749999999997		28.9
	20.46875		20.3	27.281250000000004		27.9
	20.0875		19.9	27.993750000000006		27.9
	19.59375		19.5	27.55		27.6
	19.337500000000002		19.2	28.15625		28.4
	19.368750000000002		19.4	29.00625		28.8
	19.71875		19.4	28.83125		29
	19.74375		19.3	28.95		28.1
	18.96875		18.6	28.05		27.5
	18.8		19	27.73125		28.5
	18.950000000000003		19.3	28.85625		29
	19.06875		19.2	28.65625		28.8
	18.925		18.5	28.887500000000003		27.4
	18.775000000000002		18.5	28.675		28.8
	19.031250000000004		19.1	28.362500000000004		28.5
	18.975		18.7	28.375000000000004		28.4
	18.59375		18.4	28.525		27.4
	18.8375			26.624999999999996
	18.343750000000004			27.900000000000002
	18.8875			27.59375
Sep.	18.48125			26.775000000000006
	18.1375			26.84375
	17.2875			26.368750000000006
	17.5			26.45
	17.16875			25.387500000000003
	16.69375			26.093749999999996
	16.393750000000004			26.443749999999998
	16.41875			25.856250000000006
	16.0375			25.98125
	16.099999999999998			25.6125
	15.90625			25.393749999999997
	15.887500000000001			25.88125
	16.581249999999997			25.749999999999996
	16.25			24.31875
	15.568750000000001			25.34375
	15.331249999999999			25.324999999999996
	15.48125			24.381249999999998
	14.443749999999998			24.068749999999998
	13.85			23.35
	13.45			23.11875
	13.3625			22.212500000000006
	13.46875			21.599999999999998
	13.131250000000001			22.49375
	13.54375			22.868750000000002
	13.04375			22.6875
	12.7375			21.0875
	12.006249999999998			21.225
	12.018750000000002			21.73125
	12.112500000000002			22.531250000000004
	12.425			21.849999999999998
Oct.	11.956250000000002			21.7375
	12			21.05
	10.61875			20.13125
	11.0375			20.71875
	10.66875			20.43125
	10.837499999999997			19.69375
	10.968749999999998			19.8
	10.9375			20.41875
	10.8625			19.26875
	9.525			19.4125
	9.674999999999999			19.375000000000004
	8.96875			17.625000000000004
	8.59375			18.83125
	9.48125			19
	8.850000000000001			17.7625
	9.006250000000001			18.9125
	8.912500000000001			19.025000000000002
	8.9125			17.60625
	8.475			18.5375
	7.5875			17.29375
	7.9312499999999995			18.05
	8.100000000000001			16.81875
	8.137500000000001			15.912500000000001
	6.9937499999999995			15.56875
	5.825			14.168750000000001
	6.19375			14.937499999999998
	5.70625			14.706249999999997
	6.575000000000001			15.10625
	5.900000000000001			14.86875
	5.39375			14.475
	5.1			14.94375
Nov.	5.40625			14.149999999999999
	4.668749999999999			13.181250000000002
	5.156250000000001			13.1875
	3.6874999999999996			12.65625
	4.125000000000001			12.587500000000002
	3.9625			13.1875
	4.35			13.1625
	3.9499999999999993			11.9625
	2.5312500000000004			10.11875
	1			8.80625
	0.7875			10.35
	1.2374999999999998			9.60625
	1.3375000000000001			9.4
	1.6750000000000003			9.268749999999999
	0.11249999999999999			8.51875
	-0.45000000000000007			7.60625
	-0.55			7.725000000000001
	-0.45624999999999993			7.8875
	-0.5625000000000001			7.9125000000000005
	-0.625			8.2
	-0.4562500000000001			8.625
	-0.8125			7.406249999999999
	-1.1062499999999997			7.81875
	-0.9312500000000001			7.737500000000001
	-0.8375000000000001			7.65625
	-1.075			6.70625
	-1.8687500000000001			5
	-2.55			5.500000000000001
	-2.3874999999999997			5.8625
	-2.45625			5.168749999999999
Dec.	-2.7062500000000003			3.9437499999999996
	-3.41875			3.0749999999999997
	-4.125			3.6812500000000004
	-3.3625000000000007			5.6
	-3.0375			5.33125
	-3.5062500000000005			5.29375
	-3.05			5.61875
	-2.35625			5.5375000000000005
	-2.95625			4.725
	-4.375			2.9062499999999996
	-4.6625			3.7125000000000004
	-3.9875000000000003			3.725
	-3.943749999999999			4.3625
	-3.3249999999999997			4.856250000000001
	-3.0374999999999996			5.3500000000000005
	-4.3			4.46875
	-4.853333333333334			3

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

40°C

Highest Temp

5 Jul. 26

-10°C

Lowest Temp

21 Jan. 26

Seasonal Breakdown

Hottest MonthAugust34.3°C

Coldest MonthJanuary-3.33°C

Wettest MonthJuly6.15mm

Windiest MonthMay24.21km/h

Weifang 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 Weifang historically?

July is historically Weifang's hottest month, with average maximum temperatures around 32°C. During peak heatwave events, the highest recorded temperatures have reached 42°C on 2023-06-23.

2. What is the coldest month in Weifang historically?

January is Weifang's coldest month, with average minimum temperatures around -4°C. The all-time record low of -17°C was recorded on 2021-01-07.

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

Weifang's average annual rainfall is approximately 684.4mm, based on records spanning 17 years.

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

Weifang historically records approximately 110 rainy days per year. July has the highest number of rain days at an average of 18.9 days.

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

The all-time highest temperature recorded in Weifang is 42°C on 2023-06-23.

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

The all-time lowest temperature recorded in Weifang is -17°C on 2021-01-07.

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

Weifang experiences its strongest winds during April. The historic gust record of 47.8 kph was recorded on 2015-10-01.

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

Usually, Weifang's humidity peaks in August at around 78.2% and drops to its lowest in March at approximately 44.4%.

Recent Blogs On Weather

See all blogs

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

Weifang 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

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

Weifang 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

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