Barometric Pressure

Article

What level of barometric pressure causes joint pain?

No level of barometric pressure is known to cause joint pain, and no study has found a threshold reading at which arthritis flares. What the better studies do find is a small association between pressure — along with cold and humidity — and self-reported pain in some people with arthritis, with modest effect sizes, mixed findings, and no agreement on whether rising or falling pressure is the one that goes with more pain.

Level or change: the short answer to “high or low?”

People ask it two ways: “does high barometric pressure cause joint pain?” and “does low barometric pressure cause joint pain?” The honest answer is that the research points in both directions. A large UK smartphone study found falling pressure went with more pain; a 2023 meta-analysis of osteoarthritis studies found higher pressure went with more pain. Both are described below. That disagreement is not a gap in this page — it is the finding.

What nobody has produced is a number. There is no reading — not 29.80 inHg (1009.1 hPa), not anything else — at which joints are known to start hurting. For what it’s worth, 29.80 inHg sits inside the normal band on this site’s pressure zones, which run from 29.68 to 30.12 inHg (1005–1020 hPa) at sea level; the article on normal barometric pressure covers what counts as high or low. Any “ideal range” wide enough to span nearly every reading a barometer ever shows tells you nothing.

The people who live with this tend to describe change, not level. In arthritis forums the phrasing is “right before a drop”, “29 and falling”, or a storm with a big fall behind it — a direction and a speed, not a resting value. Those are reports, not evidence, but they match how this site measures pressure: as a 24-hour change, explained in falling and rising barometric pressure.

What the research actually shows

The literature is mostly observational, mostly small, and mostly about osteoarthritis. Five studies are worth knowing by name.

Studies that found an association with pressure

McAlindon and colleagues, 2007. A Tufts-New England Medical Center team re-analyzed pain reports from a completed three-month internet-based trial of about 200 people across the US with confirmed knee osteoarthritis. As published in the American Journal of Medicine, changes in barometric pressure and in temperature were associated with knee pain; precipitation was not. The full text is paywalled, and we have not been able to confirm the direction or size of the pressure effect, so we report only that the association was found.

Dixon and colleagues, 2019 (“Cloudy with a Chance of Pain”). The largest single study here, published in npj Digital Medicine: 2,658 UK participants with chronic pain — mostly arthritis, plus fibromyalgia, migraine and neuropathic pain — logged symptoms on a smartphone for 15 months. Each 0.30 inHg (10 hPa) rise in pressure was associated with slightly lower odds of a pain event (odds ratio 0.962, 95% CI 0.937–0.987) — so falling pressure went with more pain. Humidity had the strongest link (odds ratio 1.139 per 10-point rise in relative humidity), and wind a small one. Even the worst combination of weather raised the odds of a pain event by just over 20% compared with an average day.

Wang and colleagues, 2023. A systematic review and meta-analysis in Annals of Medicine pooled 14 observational studies covering 2,102 people with osteoarthritis in ten or more countries; 13 of the 14 reported some link between weather and pain. In the pooled estimate, barometric pressure was positively correlated with pain — higher pressure, more pain — with a summary correlation of 0.35 (95% CI 0.15–0.53), moderate by the usual convention. Temperature ran the other way (−0.36). But the pressure estimate rests on only three studies, and the authors themselves flag the conflicting literature.

Results that found little or nothing

The null results matter as much. In the Dixon study, temperature and precipitation were not associated with pain once other weather was accounted for. In the Wang meta-analysis, the pooled humidity correlation (0.086) had a confidence interval crossing zero. And a 1997 Australian study of arthritis and weather in Bendigo (Aikman, International Journal of Biometeorology) included pressure among five weather variables, but its reported findings were for colder temperature and higher humidity — not pressure. In the same study, 92% of participants believed the weather affected their symptoms and 48% said they could predict the weather from them.

Rheumatoid arthritis has been reviewed separately. A 2011 systematic review by Smedslund and Hagen in the European Journal of Pain, pointedly titled “Does rain really cause pain?”, collected the observational studies of weather and pain severity in rheumatoid arthritis published through 2009. The pressure findings above come from osteoarthritis studies and from Dixon’s mixed chronic-pain group, not from rheumatoid arthritis specifically.

Why would pressure affect joints? The hypotheses

“Why does barometric pressure affect arthritis?” has no settled answer. What follows are explanations that have been offered, not mechanisms that have been established.

Any pressure explanation also has to deal with scale. A big-swing day on this site is a 24-hour change of 0.30 inHg (10 hPa) — about 1% of the 29.92 inHg (1013.25 hPa) standard atmosphere. Whatever links that to pain, if anything does, it is working with a very small push. That is one reason the honest framing is association: pressure moves together with temperature, humidity, wind and fronts, and the studies cannot fully pull them apart.

How often pressure actually swings, city by city

This is the part this site can add. Ten years of Open-Meteo ERA5 hourly reanalysis, 2015–2024, give a count of how often each of 50 US cities sees a meaningful 24-hour change: a swing day (at least 0.18 inHg, 6 hPa) and a big-swing day (at least 0.30 inHg, 10 hPa). In the median city, that is 180.7 swing days and 86.1 big-swing days a year.

CitySwing days / yrBig-swing days / yr
Denver, CO281.6169.8
Colorado Springs, CO279.6171.6
Boston, MA257.6158.7
Minneapolis, MN249.9150.6
National median (50 cities)180.786.1
Los Angeles, CA45.67.5
Tampa, FL42.89.2
San Diego, CA35.45.3
Miami, FL19.83.2

Source: Open-Meteo ERA5 hourly reanalysis, 2015–2024, sea-level-reduced pressure.

The spread is enormous. Colorado Springs averages 171.6 big-swing days a year, about twice the national median; Miami averages 3.2. Read the big-swing column first: the 6 hPa threshold saturates in volatile interior cities — it is crossed on about 77% of Denver’s days — so the 10 hPa count is the one that separates places.

Two caveats. Denver (1,615 m) and Colorado Springs (1,832 m) are high-altitude cities, and reducing their pressure to sea level amplifies temperature-driven variation, which inflates their counts somewhat. Boston (19 m) and Minneapolis (257 m) reach similar counts without that altitude effect — the high numbers are not only a mountain artifact. Ten years of data also cannot say whether any of these counts is trending up or down.

“Worst places to live with arthritis”

This table is the honest version of that search. It shows where pressure changes most often. It cannot show where joints hurt most — no data on this site measures pain, and the studies above do not support ranking places by it.

Arthritis indices and pressure charts

Weather apps publish “arthritis indices” that rate each day for joint pain. These are proprietary weighted composites of weather variables, not clinical tools. People who use them report mixed results — “sometimes matches, sometimes doesn’t” — and some say plain pressure drops track their pain better than the index does.

This site doesn’t score your joints. Each city page shows the raw pressure: a live chart of the last 7 days plus a 16-day forecast, and an outlook calendar that marks the 24-hour change each day against the 6 and 10 hPa thresholds. How both are built, and their limits, is on the methodology page. If your town is not one of the 50, check any US location.

What to do with this

Keep a pain log, then compare it against the 30 days of pressure history on your city’s page. Find the bad days on the calendar and see what the barometer was doing. Over a month or two, that tells you more about whether your joints track pressure than any study average or app index can. If the background on what the barometer measures would help, start with what barometric pressure is.

Pressure change has been statistically associated with joint pain in some people with arthritis and not in others; effect sizes are modest, findings are mixed, and individual sensitivity varies widely. Nothing on this page predicts pain, diagnoses anything, or is medical advice. If joint pain is affecting your life, that is a conversation for a clinician.

All 50 city pages · Check any US location · Methodology