Weather and wellbeing forecast in Indianapolis

Weather trends

Pressure

+0.4 hPa day change

Humidity

64.5 % daily average

Wind

17.1 km/h Peak wind Large change
Strongest signal

Temperature

Daily range: 10.2–24.4 °C

Air quality

63.6 AQI forecast avg

Rain

0 % daily chance

Wellbeing context

Headache

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 64.5 %; Wind peaks at 17.1 km/h.

Sleep

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 64.5 %.

Focus

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 64.5 %.

Fatigue

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 64.5 %.

Joint pain

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 64.5 %; Low temperature is 10.2 °C.

Summary

No pronounced weather-related wellbeing effects stand out today.

Tomorrow brings the pattern around more noticeable joint discomfort to the foreground.

Sinus pressure

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 64.5 %; Wind peaks at 17.1 km/h.

Next

Thu 29 Oct 17.1 km/h 0 % 24.4 °C 10.2 °C Pressure+0.4 hPa Air quality63.6 AQI
Fri 30 Oct 10.1 km/h 0 % 20.9 °C 9.6 °C Pressure+4.5 hPa Air quality75.4 AQI
Sat 31 Oct 11 km/h 0 % 18.3 °C 10.4 °C Pressure-0.5 hPa Air quality78.6 AQI
Sun 1 Nov 8.2 km/h 32 % 19.3 °C 11.4 °C Pressure-2.2 hPa Air quality80.8 AQI

Weather in Indianapolis and nearby

Carmel Fishers Noblesville Greenwood Lawrence Westfield Plainfield Zionsville Brownsburg Franklin Greenfield Fairfield Heights Broad Ripple Avon Beech Grove Speedway Mooresville Danville Bargersville Whitestown

Weather and wellbeing guides

Weathera tracks temperature, humidity, barometric pressure, wind and air quality for Indianapolis. Some people report that changes in these conditions coincide with changes in sleep, energy, mood, joint comfort or headaches. These are general city-level associations, not personal health predictions. Comparing the weather with your own observations may help you notice recurring patterns.

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