Hmmm...Take a look at the long lives a lot of older folks around sort of rural areas in Newport, Washington compared to Seattle (for example). My wife's father was till driving a small truck by the age of 89. By then his mind was a little "fuzzy" so my wife's mother didn't allow him to drive. He died almost ate the age of 96. She is still walking around (using a walker), handless her finances, and works part-time at a local museum. A lot of people in that area have very long lives
By the way, my father-in-law was an Army Chaplin during WWII. His breakfast consisted of "bacon and eggs," coffee with creamer and lots of sugar, plus toasted bread.
Newport, WA Demographic Data | Homefacts
Complete demographic breakdown for Newport, WA Pend Oreille County including data on race, age, education, home values, rent, and more.www.homefacts.com
I believe that stress leads to death a lot sooner than later. A lot of people in rural areas, specially the ones who are now retired and out of the city, don't stress as much. My wife's grandmother died at the age of 88 in 1988. Her grandfather died in 1977 in his late '80's. They were hard-working farmers. Another lady that my wife and I know, is still alive at the age of 98![]()
Glad to hear they're all doing well!
To be clear, the thing about statistics is they look at more than a few examples and try to simplify a lot of information into a few numbers. On average, across all the counties coded as urban versus all the counties coded as rural, people tend to live longer in urban regions. You'd have to dig deeper to better understand what that means.
First to note, is that the disparity is 2 years (or was in 2009-- if trends continue, another big if, than that disparity may be a bit more now). It's a reasonable question to ask if the possibility of 2 extra years is worth spending the rest of them somewhere you're less happy, for example.
The data also averages in all rural counties-- so maybe rural Washington does better than the average rural county, or even better than the average urban county, but other rural counties do worse.
It also doesn't mean everyone in the city lives longer than everyone on the farms. It's an average across every one at birth. Live expectancy is a complex topic. The question of how long you're going to live depends a lot on how old you are. If you look at the table I linked, it says that at birth a male can be expected to live to the age of 76 but a 76 year old male can expect to live to 86. Basically the "well, you've made it this far" is baked in.
So it's possible that the average life expectancy at birth is lower for rural areas but that people live to older ages in rural areas all at the same time. For example, if infant mortality is very high in rural areas, then you'll be averaging in a lot of zeros with the rest of the data and bring the average life expectancy down. None of the early deaths can be your inlaws because they didn't live long enough to have kids.
Another possibility, is that it comes down to access to services. It's possible that all the stress and lack of exercise and fresh air in the city means people have more heart attacks but, if you have a heart attack in the city, you're more likely to make it to the hospital in time to recover. There may actually be fewer heart attacks in rural areas but if you do have one then perhaps you're more likely to die younger. But, if you never have a heart attack then access to hospitals isn't an issue and you live a long life, perhaps longer than the city slickers. So it's possible that urban folk are sicker but live longer on average yet not as long as the oldest rural folk.
Based on the more granular data, infant mortality doesn't seem to be the key driver. Only 13% of the difference is due to deaths among people younger than 25. 70% of the increased mortality looks to come from accidents, heart disease, lung cancer and COPD. Rural folks are less likely to die of AIDS or homicide though, so there's that.
It's a statistic, so it's a gross simplification of complex data and can't capture the full story. If I know nothing about 2 people other than where they'll live when they die, I can guess the rural folk will die 2 years earlier. If I know more about them, and the broader details of the dataset used in the statistics, the story gets more nuanced.