Weather and wellbeing forecast in Houston

Weather trends

Pressure

+0.3 hPa day change

Humidity

69 % daily average

Wind

12.3 km/h Peak wind Large change
Strongest signal

Temperature

Daily range: 18.6–27.5 °C

Air quality

66.1 AQI forecast avg

Rain

0 % daily chance

Wellbeing context

Headache

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 69 %.

Sleep

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Overnight feels like 19.7 °C; Average humidity is 69 %.

Focus

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 69 %; Temperature reaches 27.5 °C.

Fatigue

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Feels-like temperature averages 23.3 °C; Average humidity is 69 %.

Joint pain

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 69 %.

Summary

No pronounced weather-related wellbeing effects stand out today.

Tomorrow brings the pattern around slightly less restorative sleep and some tendency toward headaches to the foreground.

Sinus pressure

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 69 %.

Next

Thu 29 Oct 12.3 km/h 0 % 27.5 °C 18.6 °C Pressure+0.3 hPa Air quality66.1 AQI
Fri 30 Oct 13.1 km/h 16 % 25.7 °C 18.6 °C Pressure-0.9 hPa Air quality68 AQI
Sat 31 Oct 8.7 km/h 36 % 28.3 °C 20.4 °C Pressure+0.8 hPa Air quality72.3 AQI
Sun 1 Nov 8.1 km/h 3 % 28.8 °C 21.2 °C Pressure-0.8 hPa Air quality74 AQI

Weather in Houston and nearby

Cypress Pasadena Pearland League City Sugar Land Baytown Missouri City Spring Friendswood Channelview Mission Bend La Porte Deer Park Alvin Fresno Stafford Cinco Ranch South Houston Pecan Grove Humble

Weather and wellbeing guides

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