Weather and wellbeing forecast in Detroit

Weather trends

Pressure

+0.5 hPa day change

Humidity

71.6 % daily average

Wind

19.6 km/h Peak wind Large change
Strongest signal

Temperature

Daily range: 10.1–22.3 °C

Air quality

70.6 AQI forecast avg

Rain

14 % daily chance

Wellbeing context

Headache

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 71.6 %; Wind peaks at 19.6 km/h.

Sleep

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 71.6 %.

Focus

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Wind peaks at 19.6 km/h; Average humidity is 71.6 %.

Fatigue

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 71.6 %.

Joint pain

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 71.6 %; Low temperature is 10.1 °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 71.6 %; Wind peaks at 19.6 km/h.

Next

Thu 29 Oct 19.6 km/h 14 % 22.3 °C 10.1 °C Pressure+0.5 hPa Air quality70.6 AQI
Fri 30 Oct 13.5 km/h 0 % 15.1 °C 7 °C Pressure+8.7 hPa Air quality80 AQI
Sat 31 Oct 9.3 km/h 2 % 15 °C 6.7 °C Pressure-0.5 hPa Air quality81.3 AQI
Sun 1 Nov 8.7 km/h 10 % 19.9 °C 10.5 °C Pressure-4 hPa Air quality86.8 AQI

Weather in Detroit and nearby

Warren Sterling Heights Clinton Township Dearborn Livonia Canton Troy Westland Farmington Hills Shelby Rochester Hills Southfield West Bloomfield Township Taylor Pontiac Saint Clair Shores Royal Oak Novi Dearborn Heights Redford

Weather and wellbeing guides

Weathera tracks temperature, humidity, barometric pressure, wind and air quality for Detroit. 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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