Choosing Where to Live Around Where the Work Is

Three numbers before anything else

Three numbers, all published, settle most of this question before any of the harder considerations start. They are cheap to look up and they eliminate options quickly. Everything harder comes afterwards on a shorter list.

The first is the local median for your occupation, which is not the metro’s average wage across all jobs. That average describes the place rather than your work, and a well-paid metro can be genuinely thin in your field. The average is a fact about the place, not about you.

The second is concentration: your occupation’s share of local employment against its national share. Above 1.0 means the place holds more of your work than its size implies, and well above means a real market rather than a coincidence. The third is both of those figures again for a second career, which is usually the binding constraint and the check most often skipped.

Then adjust for costs, but do it properly

A higher nominal median in an expensive metro can be worth less in practice, and housing dominates that adjustment entirely. Housing varies far more between metros than anything else in the comparison. Nothing else moves by multiples the way housing does.

Use your actual housing cost rather than a general index. An index averages over a basket you do not buy, and it will mislead you in whichever direction your own life differs from the average household’s. Your actual rent or mortgage is the honest input here.

Then add state income tax, which is a straightforward calculation and frequently worth more than people expect across a decade. Then commuting, counted in time as much as in money. What usually survives is a smaller gap than the raw salaries suggested and a larger one than the cost-of-living skeptics claim.

The question that separates a market from a job

Ask one question about any destination. If your employer there closed, how many other organizations within commuting distance need what you do? Count the organizations rather than the advertised jobs.

That single question decides how much risk you are actually taking, and concentration is the published answer to it. It takes a few minutes to compute and it is the number nobody looks up. Concentration is published for every occupation and metro.

Three employers is a market and one is an employer, however good the salary happens to be. The difference between those two situations is the difference between a bad year and a forced move. One of those costs months and the other costs years.

What the numbers cannot decide

Whether the industry behind the market is stable. Whether you would want to live there in February rather than in the month you visited. Whether the schools work for your children.

Whether being eight hours from family turns out to be survivable or corrosive. None of that appears in any dataset and all of it matters more than a percentile does. The unmeasurable half is what decides whether you stay.

The point of doing the arithmetic first is precisely that it eliminates options quickly and cheaply. That leaves your time and attention for the questions that genuinely deserve them. Judgment is the scarce resource here and arithmetic is not.

On relocation packages

Employer-paid relocation is taxable wages for civilian employees, which changes the value of any package before you have packed anything. The decisive question is therefore whether it is grossed up. A grossed-up package is worth its headline and an ordinary one is not.

An unadjusted package is worth substantially less than its headline figure, and the difference is frequently large enough to change whether a move makes financial sense at all. Ask explicitly and ask in writing. A verbal assurance about tax treatment is worth nothing later.

Ask also what happens if you leave within a year. Clawback terms on relocation are common, they are rarely mentioned unless you raise them, and they matter most in exactly the scenario where you can least afford them. A clawback after a layoff turns a benefit into a debt.

The order that saves you the most

Numbers first, because they are cheap and they cut the candidate list fast. Then the human questions, applied only to a shortlist that already survives the arithmetic. Two or three candidates deserve that kind of attention.

Then a visit, ideally in the worst month of the year rather than the best one. A place you like in February is a place you will like in June, and the reverse does not hold. Visit during the month the locals complain about.

People generally do this in reverse: fall for a place and then justify it. That works often enough to be dangerous, and the failures are expensive because selling a house in a cheap market to buy in an expensive one is close to a one-way door. Reversing that decision is far harder than making it.

A worked comparison

Say you are a registered nurse weighing San Jose against Wichita. The medians are $216,740 and $76,540, which is a gap of $140,200 and looks decisive until you touch it. Almost none of that gap survives contact with a mortgage.

Housing does most of the work in the other direction, and California’s income tax takes a slice Kansas does not. Run your own numbers rather than an index, because the answer depends heavily on whether you are buying or renting and how many bedrooms you need. Those two variables move the answer more than the salary does.

What generally survives is a real advantage to the high-paying metro for somebody early and renting, and a much narrower one for somebody buying a family home. The gap is real and it is not $140,200. Run the arithmetic before letting the headline decide.

The factor the salaries hide entirely

Both San Jose and Wichita are deep markets for nursing, which means neither one strands you if a job ends. That fact does not appear anywhere in the salary comparison. Depth of market is invisible in a wage table.

It is not true of every pair of cities and it changes what the pay gap is worth. A large premium in a place with one employer is a different proposition from the same premium in a place with twenty. The second one lets you leave without moving house.

So run the concentration figure alongside the median rather than after it. It decides how much risk the pay gap is compensating you for, which is the question the raw salaries cannot answer. Risk and pay are separate columns in this decision.