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Population Review

Climate normals · 1970–2000

Longling County Climate

Longling County is a city in China (29) with a population of about 270,000. Its average annual temperature is 16.7°C (62°F), with roughly 1360 mm of rain per year.

16.7°C

Avg Temp

1360

Precip (mm/yr)

Jun

Hottest Month

Jan

Coldest Month


Longling County Climate

Longling County has an average annual temperature of 16.7°C (62°F) and receives about 1360 mm of precipitation per year. The warmest month is June and the coldest is January. Figures are 1970–2000 climate normals.

16.7°C

Avg Temp

1360

Precip (mm/yr)

Jun

Hottest Month

Jan

Coldest Month

0°10°20°30°281mmJFMAMJJASOND
Avg temp (°C) Precipitation (mm)
Longling County — monthly temperature & precipitation (1970–2000 normals) · Source: WorldClim 2.1
MonthAvg (°C/°F)Precip
January10° / 49°14 mm
February11° / 53°26 mm
March15° / 58°28 mm
April18° / 64°58 mm
May20° / 68°115 mm
June21° / 70°228 mm
July21° / 70°281 mm
August21° / 70°250 mm
September21° / 69°160 mm
October18° / 65°132 mm
November14° / 58°52 mm
December11° / 51°16 mm

1970–2000 normals from WorldClim 2.1 (~9 km grid). Precipitation can be less precise near mountains or coastlines, where rainfall varies sharply over short distances.

Best time to visit Longling County

The most comfortable months to visit Longling County are typically April, May and March, when temperatures are mildest and rainfall is relatively low. The hottest month is June (around 25°C high). The coldest is January (near 2°C low). July is usually the wettest month.

AprilMayMarch

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Frequently Asked Questions

The most comfortable months to visit Longling County are typically April, May and March, when temperatures are mildest and rainfall is relatively low (1970–2000 climate normals).

Longling County, China has an average annual temperature of 16.7°C and about 1360 mm of precipitation per year. The warmest month is June and the coldest is January.

In June, the hottest month, daily highs in Longling County average about 25°C (77°F).

Monthly climate normals (1970–2000) sampled from WorldClim 2.1 at ~9 km resolution. Humidity derived from vapor pressure. City coordinates and population from GeoNames.