

Warming trend through the week with high temperatures climbing from 58°F to 70°F. Mostly dry conditions with only one day showing rain chances.
This week's forecast shows temperatures running 8°F below the historical average for October-November. Normal highs for this period are around 72°F with lows around 46°F.
1936 - The temperature at Layton, NJ, dipped to 9 above zero to establish a state record for the month of October.
More on this and other weather history
Day: A slight chance of drizzle before 8am. Cloudy, with a high near 58. Northeast wind around 5 mph, with gusts as high as 20 mph.
Night: Cloudy, with a low around 48. Northeast wind around 5 mph.
Day: Rain showers. Mostly cloudy, with a high near 60. Southeast wind around 5 mph, with gusts as high as 20 mph. Chance of precipitation is 80%.
Night: Rain showers before 2am. Mostly cloudy, with a low around 43. West wind around 5 mph. Chance of precipitation is 80%.
Day: Partly sunny, with a high near 59.
Night: Mostly clear, with a low around 40.
Day: Sunny, with a high near 65.
Night: Clear, with a low around 39.
Day: Sunny, with a high near 67.
Night: Partly cloudy, with a low around 41.
Day: Mostly sunny, with a high near 67.
Night: Mostly clear, with a low around 41.
Day: Sunny, with a high near 70.
Mon's High Temperature
100 at Rio Grande Village, TX and 7 Miles East-southeast Of Hidalgo, TX
Mon's Low Temperature
14 at 29 Miles Northwest Of Sun Valley, ID

Bolingbroke, founded in 1867, is an unincorporated community and census-designated place (CDP) in Monroe County, Georgia, United States. It lies just north of Macon, between Interstates 475 and 75. The community is part of the Macon metropolitan statistical area.
Per the 2020 census, it had a population of 497.
Content from Wikipedia, licensed under CC BY-SA 3.0.
Current conditions: We use the nearest available station to your location - including professional MESONET/MADIS and local weather stations - often miles closer than regional airports.
Forecasts: National Weather Service point forecasts predict for your specific area, not broad regional zones, making them far more relevant to your location.