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

Xiaoganzhan Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	1.275	2.2		11.143749999999999	5.3
	2.2875	0.2		10.64375	7.1
	1.5999999999999999	1.6		10.63125	9.2
	2.1625	4.6		9.68125	6.9
	2.3125	2.9		8.96875	9.8
	1.99375	3.4		9.018750000000002	10.5
	1.3625	3		8.46875	10.9
	0.65	3.9		9.481249999999998	11.4
	0.6	4.4		9.64375	13.7
	1.16875	5.7		8.96875	11.3
	1.2562499999999999	2.7		10.2375	11.4
	1.2125000000000001	5.5		11.437500000000002	15.8
	2.0500000000000003	7.2		11.9125	18.1
	2.4	9		11.231250000000001	18.4
Jan.	1.5374999999999999	9.3		9.662500000000001	19
	0.9999999999999999	10.4		9.843750000000002	19.8
	1.275	6.4		10.506250000000001	15.2
	1.09375	5.6		11.018749999999999	12
	2.1187500000000004	0.3		11.618749999999999	5.2
	2.3125000000000004	-3.4		10.70625	0.1
	1.7999999999999998	-5.3		9.262500000000001	1.8
	1.3812499999999999	-2.6		9.418750000000001	4.5
	1.48125	0.9		9.549999999999999	9.3
	1.875	2.9		9.2	12
	0.8562499999999997	4.2		8.7625	8.3
	1.01875	3.3		9.78125	11.1
	0.9375000000000002	2.1		8.968750000000002	9.8
	1.2187500000000002	3		9.33125	11
	1.3437499999999998	6.7		10.25625	8.3
	1.7999999999999998	3		10.6625	6.3
	2.71875	3.1		10.243749999999999	7.6
	1.9625000000000001	3.7		10.581249999999999	10.6
	2.075	5.5		8.775	13.5
	1.25	5.8		9.887499999999998	12.8
	1.0624999999999998	6.9		10.43125	11
	1.1124999999999998	7		11.018750000000002	16.4
	2.6437500000000003	3.2		10.1875	11.3
	2.0125	2.4		9.418750000000001	7.4
	1.75625	0.7		9.262500000000001	9.7
	1.1500000000000001	1.9		9.70625	4.8
	1.7562499999999999	2.7		10.01875	11.6
	2.49375	4.2		11.281249999999998	14.4
	3.025	6.5		11.874999999999998	16.7
	2.7875	7.7		12.181249999999999	18.1
	4.268750000000001	9.9		11.793750000000001	21
Feb.	2.9250000000000007	3.5		11.61875	17.9
	3.39375	1.3		12.99375	4.6
	3.7625000000000006	2.1		12.899999999999999	7.7
	4.0625	4.4		12.424999999999999	13.5
	3.7749999999999995	7.4		13.331250000000002	16.4
	3.325	7.3		12.5	18.9
	3.7875	10		12.00625	23.6
	4.13125	14.1		13.074999999999998	22.8
	5.075	7.1		13.799999999999997	14.6
	5.15	6.3		14.70625	10.8
	5.712499999999999	8.5		14.187499999999998	15.7
	5.624999999999999	9.4		14.418750000000005	13.7
	5.737500000000002	7.6		13.775	13.6
	6.137499999999999	10.8		13.956250000000002	12.7
	5.812500000000001	6.1		13.743749999999999	11.4
	4.3125	4.7		14.14375	8.3
	5.2250000000000005	6.2		14.525	11.1
	5.574999999999999	7.7		15.64375	16
	7.33125	9.8		14.89375	13.8
	6.4312499999999995	7.8		14.993749999999999	15.2
	5.9750000000000005	7.2		15.51875	13.8
	7.28125	7.3		17.775000000000002	12.7
	7.3625	10		17.381249999999998	15.8
	7.250000000000001	7.5		16.606250000000003	18.2
	7.6875	10.4		18.350000000000005	21.3
	8.15625	9.6		18.724999999999998	17.5
	8.725	9.9		18.65625	20.2
	8.799999999999999	10.8		18.5625	21.1
Mar.	8.9375	8.1		19.106250000000003	12.1
	9.3125	7.7		17.800000000000004	8.9
	8.75	8.7		17.418750000000003	9.3
	9.162500000000001	7.9		17.35625	14.9
	9.593750000000002	7.3		16.91875	11.4
	8.975000000000001	10.1		17.543749999999996	12.7
	7.874999999999999	8.8		17.743749999999995	16.8
	9.03125	13.7		19.0625	21.5
	9.3625	13.4		17.88125	17
	9.918750000000001	11.4		18.137500000000003	14.3
	9.58125	10		19.8375	19.5
	9.59375	13.1		20.50625	14.9
	9.875	12.9		21.856250000000003	23.1
	10.2875	12.5		21.506250000000005	16.3
	11.83125	14.3		21.1	21
	12.4375	12.9		20.2625	19.1
	12.04375	11.6		20.775	17.7
	11.95625	12.1		22.11875	24
	11.63125	14.3		21.906249999999996	18.3
	12.525	14.3		22.19375	20.2
	11.64375	13.1		19.75625	24.5
	10.91875	17.5		19.55	25.1
	11.174999999999999	18.1		19.95625	23
	11.200000000000001	16.6		20.90625	21.9
	12.231250000000001	17.8		23.962500000000002	23.1
	12.0375	18.4		23.456249999999997	22
	13.162499999999998	17.5		23.2	27.1
	13.45	16.8		22.631249999999998	19.7
	12.618749999999999	16.6		21.874999999999996	24.1
	11.831249999999999	13.8		21.762500000000006	22.3
	12.637500000000003	14.5		22.631249999999994	20.6
Apr.	13.562499999999998	14.4		23.6375	22.1
	14.225000000000001	18.2		24.531250000000004	22.5
	14.993749999999999	16.4		25.599999999999998	28
	15.6875	18.3		24.668750000000003	28.2
	14.331249999999999	18.6		23.656249999999996	30
	14.543750000000003	12.9		24.09375	16.3
	14.681249999999999	10.3		21.85	14.9
	13.587500000000002	9.4		22.94375	15.2
	13.825000000000001	12		23.60625	18.2
	14.775000000000002	11.2		23.950000000000003	22.1
	14.887500000000003	14.7		23.78125	26.1
	15.049999999999999	17.3		24.762500000000003	29
	15.287499999999998	17.9		26.05	21.8
	15.425	13.3		26.225000000000005	17.7
	15.0125	11.7		26.4375	20.4
	16.29375	11.8		27.912499999999994	22.8
	16.8625	13.4		27.393749999999997	24.9
	16.94375	15.3		26.66875	17.2
	16.8125	14.8		26.556250000000006	25.9
	17.1625	15.9		26.3125	27.5
	17.481249999999996	16.7		27.381250000000005	28.6
	17.193749999999998	18.6		26.037500000000005	31.3
	17.500000000000004	18.1		27	20
	18.4	15		26.243750000000002	22.2
	17.2125	14.8		26.756249999999998	24.5
	16.9625	16.1		25.325	27.7
	15.8375	19.1		26.399999999999995	31
	17.2	20.9		27.925	30.4
	17.8125	19.4		28.3125	25.8
	18.8	20.9		28.20625	26.7
May	18.2125	20.9		26.306250000000002	27.9
	17.225	22.3		26.699999999999996	30.9
	18.162499999999998	21.2		28.175	26.7
	19.44375	20		28.968749999999996	21.8
	19.7	19.1		28.850000000000005	25.1
	19.631249999999998	19.4		29.100000000000005	25.9
	18.6125	18.5		27.09375	28.3
	18.093749999999996	22.3		26.21875	28.3
	17.7125	23.2		26.868750000000006	32.7
	18.90625	24.5		28.4875	28
	20.0625	24.1		28.90625	29.1
	19.95	21.5		27.787500000000005	26.2
	19.64375	19.5		28.893749999999997	26.2
	19.693749999999998	21.2		28.525000000000002	27.1
	19.49375	19.3		28.7125	21.1
	19.6625	19.7		28.2375	29.6
	19.643750000000004	19.4		28.54375	29.7
	20.69375	22.1		29.56875	31.7
	20.53125	24.1		28.718750000000004	31.7
	20.268749999999997	23.8		28.681249999999995	28.4
	20.193749999999998	23.1		28.256249999999998	33.3
	20.056250000000002	24.3		28.8375	34
	20.856250000000003	23.8		30.25	34.8
	21.6	19.3		30.44375	24.3
	22.2375	16		30.78125	19.3
	22.225000000000005	16.4		30.662499999999994	28.8
	22.375	18.7		30.2125	30.5
	22.168749999999996	21.7		31.29375	31.9
	22.300000000000004	19.6		30.6875	26.9
	22.518749999999994	19		30.724999999999998	28.5
	22.2625	19.1		31.35	31.1
Jun.	22.70625	23.9		31.175000000000004	33.5
	23.13125	23.9		31.337500000000002	33.8
	23.262499999999996	24.1		30.768749999999997	34.2
	22.693749999999998	23.3		30.918750000000006	29.3
	22.8	22.1		29.818749999999994	28.7
	23.256249999999998	21.6		30.531250000000004	32.6
	23.3125	22.5		29.799999999999997	28.8
	23.131249999999998	20.2		30.318750000000005	21.9
	23.4	20.1		30.906249999999996	22.6
	23.675000000000004	21.3		30.662499999999998	25.7
	23.000000000000004	21.6		30.462499999999995	27.5
	22.793750000000003	21		29.95	31.8
	23.33125	21.3		30.24375	32.7
	23.406249999999996	23.6		30.8625	33.1
	23.556250000000002	25.1		29.962500000000002	31.5
	23.4125	22.1		30.668750000000003	31.5
	24.262500000000003	21.3		31.549999999999994	29.6
	24.656250000000004	22.8		31.975	28.9
	24.7	23.3		31.781249999999996	25.4
	24.675	23.6		31.025000000000002	26.2
	24.49375	24.1		30.525	30
	24.381249999999994	24		31.662499999999998	29.1
	24.618750000000002	23.9		31.525	30.8
	24.71875	24.4		31.506249999999994	32
	24.25	24.9		31.737499999999997	32.5
	24.7375	26		32.75	35.1
	25.418749999999996	26.6		32.64375	36.4
	25.243750000000002	26		31.537500000000005	34.1
	24.987500000000004	26.8		32.38125	36.3
	24.837500000000006	27.2		31.793749999999996	36.9
Jul.	24.775000000000002	27.9		31.7	35.5
	24.58125	27		31.249999999999996	34.2
	24.662500000000005	25.3		31.525000000000006	33.4
	25.0625	24.5		32.6625	30.5
	25.193750000000005	24.3		32.01875	29.6
	25.025000000000002	23.2		31.69375	33.2
	25.43125	23.9		32.81249999999999	33
	26.087500000000002	24.5		34	28.2
	26.181249999999995	24		33.724999999999994	32
	25.8375	25.1		34.224999999999994	33.4
	26.2	26.2		34.19375	34.7
	26.168750000000003	25.7		34.24375	35.4
	26.2125	23		33.78125	27.1
	26.006250000000005	24.1		33.38125	29.7
	25.88125	24.4		33.76875	29.6
	26.174999999999997	25.2		34.80625	31.6
	26.4	24.9		34.231249999999996	33.1
	26.431250000000006	25.4		34.550000000000004	33.2
	26.4875	26.1		34.387499999999996	35.8
	26.493750000000002	25.7		34.8	36.1
	26.825000000000006	26.1		34.3875	35.6
	27.01875	25.7		34.53125	34.6
	26.81875	25.8		34.33125	35.1
	26.318749999999998	26.1		33.93125	34.8
	25.912499999999998	26.1		33.9625	34.5
	25.956249999999997		25.5	33.64375		31.2
	25.474999999999998		23.7	33.13125		29.2
	25.256249999999998		23.5	32.775		24.6
	25.54375		22.7	32.75625		23.8
	25.55		20.5	32.625		27.8
	25.543749999999996		20	33.81249999999999		22
Aug.	25.643750000000004		20.7	33.618750000000006		27.7
	25.350000000000005		21.6	33.3		31.4
	25.450000000000003		23.3	34.10625		32.8
	25.71875		25.8	34.38125		34.5
	25.475		25.7	34.00000000000001		33.9
	25.68125		25.3	33.7625		33.7
	24.918749999999996		24.5	33.65		33.1
	24.3625		24.5	32.625		32.8
	23.825000000000003		24.1	31.650000000000002		32.2
	23.674999999999997		23.9	32.1125		32.7
	23.86875		24	32.13125		32.4
	23.40625		23.3	31.118749999999995		30.8
	22.71875		22.6	30.700000000000003		30.7
	22.581249999999997		22.7	31.050000000000008		31.5
	22.487499999999997		22.3	31.406249999999993		31.3
	22.262500000000003		22.1	30.974999999999994		30.4
	22.318749999999998		22.2	30.4375		30.3
	22.6		22.6	30.35		30.5
	22.75625		22.3	30.49375		30.4
	22.13125		22	30.73125		30.6
	21.631249999999998		21.9	30.900000000000006		31.4
	21.868750000000002		22.1	31.0125		31.2
	21.750000000000004		22	29.706249999999997		29.7
	21.73125		21.7	30.343750000000004		31.2
	21.93125		21.9	30.643750000000004		30.8
	21.875			30.906249999999996
	21.8875			29.7375
	21.74375			30.456250000000004
	20.89375			29.643749999999997
	20.768749999999997			29.60625
	21.012500000000003			29.431250000000006
Sep.	20.593749999999996			30.218750000000004
	21.01875			30.262500000000003
	20.725000000000005			29.775000000000006
	20.562499999999996			27.6375
	20.231250000000003			28.66875
	19.524999999999995			27.762500000000003
	18.9625			27.39375
	18.5125			26.3625
	18.4375			26.6625
	18.237500000000004			26.5125
	18.862499999999997			26.393750000000004
	19.112499999999997			27.96875
	19.987500000000004			28.318749999999994
	19.787499999999998			28.631249999999998
	18.531250000000004			27.19375
	18.343749999999996			26.668749999999996
	18.518749999999997			27.200000000000003
	18.137499999999996			27.2
	17.40625			27.387500000000003
	16.64375			26.19375
	15.856249999999998			24.456250000000004
	15.656250000000002			23.287499999999998
	15.512500000000001			24.01875
	16.5			24.6875
	16.481250000000003			26.64375
	16.3125			25.175
	15.9875			24.924999999999997
	15.55625			24.31875
	15.624999999999998			23.068749999999998
	15.443750000000001			23.112500000000004
Oct.	15.131249999999998			23.33125
	15.093750000000002			22.462500000000002
	15.112499999999997			23.206249999999997
	14.374999999999998			22.906250000000004
	14.212500000000002			23.5375
	13.9			22.56875
	14.08125			22.212500000000002
	13.94375			23.05625
	13.775			23.331249999999997
	13.087499999999997			22.81875
	13.575000000000003			20.79375
	12.950000000000003			21.206250000000004
	13.293750000000001			21.04375
	13.3375			21.7
	13.03125			21.525000000000006
	12.725			20.89375
	12.493749999999999			22.50625
	13.231250000000001			22.256249999999998
	13.112499999999999			21.643750000000004
	12.5875			22.506249999999998
	12.625000000000004			20.900000000000002
	12.375			20.15625
	11.61875			20.23125
	10.88125			19.287499999999998
	10.506250000000001			19.318749999999994
	11.012500000000001			19.506250000000005
	11			18.924999999999997
	10.493750000000002			18.85
	9.968750000000002			18.493750000000002
	9.95625			18.462500000000002
	9.68125			19.568749999999998
Nov.	10.48125			19.543750000000003
	10.8125			18.6125
	9.68125			17.48125
	8.743749999999999			16.475
	8.81875			17.412500000000005
	9.41875			17.887500000000003
	10.6875			17.83125
	9.068749999999998			17.03125
	7.418750000000002			15.25625
	5.9			14.14375
	5.775			14.69375
	6.11875			14.54375
	6.66875			15.274999999999999
	7.125000000000001			15.8
	6.6			15.031250000000002
	5.7			13.018749999999999
	4.574999999999999			13.268750000000002
	4.625			13.81875
	4.94375			13.675
	5.062499999999999			13.75625
	5.062500000000001			13.468750000000002
	4.93125			13.825
	4.71875			13.73125
	4.9937499999999995			14.3125
	5.325			13.70625
	5.08125			13.225000000000001
	4.05			11.512500000000001
	3.325			11.875
	3.2062500000000003			11.799999999999999
	3.6375			11.51875
Dec.	3.6			9.375
	2.46875			9.350000000000001
	1.075			10.20625
	1.2937499999999997			10.362500000000002
	2.5437499999999997			11.487499999999999
	2.7125000000000004			11.1125
	2.7499999999999996			10.9375
	2.3812500000000005			10.7375
	2.1937499999999996			11.3125
	2.26875			10.9
	1.7625			10.13125
	1.61875			9.81875
	2.04375			9.862499999999999
	1.9			10.543749999999998
	2.1			10.874999999999998
	1.44375			11.024999999999999
	0.41333333333333333			10.333333333333332

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

37°C

Highest Temp

14 Jul. 26

-5°C

Lowest Temp

21 Jan. 26

Seasonal Breakdown

Hottest MonthAugust34.96°C

Coldest MonthJanuary3.43°C

Wettest MonthMay7.68mm

Windiest MonthJuly19.61km/h

Xiaoganzhan 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 Xiaoganzhan historically?

August is historically Xiaoganzhan's hottest month, with average maximum temperatures around 33°C. During peak heatwave events, the highest recorded temperatures have reached 41°C on 2022-08-19.

2. What is the coldest month in Xiaoganzhan historically?

January is Xiaoganzhan's coldest month, with average minimum temperatures around 2°C. The all-time record low of -10°C was recorded on 2024-02-05.

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

Xiaoganzhan's average annual rainfall is approximately 1334.1mm, based on records spanning 17 years.

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

Xiaoganzhan historically records approximately 169.05 rainy days per year. June has the highest number of rain days at an average of 19.5 days.

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

The all-time highest temperature recorded in Xiaoganzhan is 41°C on 2022-08-19.

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

The all-time lowest temperature recorded in Xiaoganzhan is -10°C on 2024-02-05.

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

Xiaoganzhan experiences its strongest winds during April. The historic gust record of 45 kph was recorded on 2025-04-12.

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

Usually, Xiaoganzhan's humidity peaks in July at around 77.4% and drops to its lowest in December at approximately 51.5%.

Recent Blogs On Weather

See all blogs

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

Xiaoganzhan 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

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

Xiaoganzhan 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

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