The Same Remote Salary Is Not the Same Money in Every State

Remote work created a genuinely new kind of decision: choosing where to live somewhat independently of where you earn. That decision is only as good as the arithmetic behind it, and most people doing it in their head are comparing numbers that are not actually comparable.

A $110,000 salary is not the same amount of money in San Francisco and in Jackson, Mississippi. Everyone knows this in the abstract. Few people have looked at the actual government data that tells you by how much, which is a shame, because it exists and it is free.

The number that matters: Regional Price Parities

The Bureau of Economic Analysis publishes Regional Price Parities (RPP) for every state and metro area — an index of how much more or less it costs to buy the same basket of goods and services in one place versus the national average, set at 100.

A state with an RPP of 90 is roughly 10% cheaper than the national average for an equivalent basket of goods, rents and services. A state at 115 is roughly 15% more expensive. This is the correct tool for the comparison, and it is more precise than the popular cost-of-living calculators that circulate online, because it comes from the government’s own price survey data rather than a proprietary index with an undisclosed methodology.

The general pattern is familiar even without the exact numbers: the most expensive parities cluster in California, the Northeast corridor, and Hawaii. The least expensive cluster in the South and parts of the Midwest — Mississippi, Arkansas, West Virginia, Kentucky.

The size of the gap is the part people underestimate. It is not a rounding difference. It is routinely a 25-35 percentage point spread between the cheapest and most expensive states, which means an identical salary can represent meaningfully more or less real purchasing power depending on where you cash it.

How to actually run the math

The formula is straightforward once you have both numbers:

Adjusted salary = Salary × (100 ÷ destination state’s RPP)

A $110,000 salary in a state with an RPP of 90 is worth roughly $122,000 in national-average purchasing power. The same salary in a state with an RPP of 115 is worth roughly $96,000. Same number on the offer letter, a $26,000 real difference in what it buys.

This is the number to compare against a local job offer in your target state, not the raw salary. A national remote role paying $110,000 flat and a local role in a cheap state paying $95,000 are closer in real terms than the headline numbers suggest — sometimes the local role wins.

Where remote pay premiums or discounts come from

Some employers pay a flat national rate regardless of location. Others explicitly adjust by geography — sometimes framed as a “location factor,” sometimes just built into the offer without being named.

Location-adjusted pay is not arbitrary and it is not really about penalizing people for living somewhere affordable, however it feels on the receiving end. It generally reflects two things: the RPP-style cost difference just described, and local labor market competition — what a company has to pay to hire in a given metro, which correlates with cost of living but is not identical to it.

The practical implication for negotiating: if a company adjusts pay by location, moving to a cheaper state after being hired usually reduces your salary at the next review cycle, not immediately, and the reduction is a policy question specific to that employer — some grandfather existing employees, some do not. Ask before you move, not after your first adjusted paycheck.

What OEWS wage data adds

The BLS Occupational Employment and Wage Statistics program publishes median and percentile wages by occupation, broken down to the state and metro level, for essentially every job the government tracks.

This answers a different question than RPP: not “how far does my salary go here” but “what does this specific job actually pay here, based on real reported wages.” Comparing your remote offer to your occupation’s OEWS percentiles for your state tells you whether the number is competitive locally — useful context if you are also weighing a non-remote local option, and a sanity check on whether a “national” remote rate is actually generous or just average once your location is accounted for.

The trap in the other direction

There is a failure mode nobody warns you about: the person who takes remote-rate pay, moves somewhere cheap, and finds the arithmetic did not work the way they expected.

The two most common reasons:

The employer adjusts pay to location, and the move triggers the adjustment. The premium you were counting on gets phased out at the next compensation cycle once payroll notices your new address.

Non-housing costs do not follow the same pattern as housing. RPP is a basket that includes goods, services and rent, but within that basket the components move differently. Housing costs can vary enormously between states while goods and some services vary much less. Someone moving from an expensive coastal metro to a cheap rural area sometimes finds their rent dropped 60% while groceries, healthcare and childcare dropped 15%, not 60%. Housing carries the outsized share of most people’s RPP gain, so a household that already owned modest housing, or is moving somewhere with a smaller housing-cost gap, sees a much smaller total benefit than the headline number implies.

Run the RPP math on your actual budget breakdown, not just on the salary, if the decision is close.

What RPP does not capture

Regional Price Parities are built from a broad basket of goods and services, which makes them a solid general-purpose comparison tool, but a household’s actual spending pattern rarely matches the basket exactly, and the gap matters most for two categories in particular.

Childcare costs vary far more sharply between specific metros than the state-level RPP figure suggests. A family with young children can face a much larger real cost swing moving between two cities in the same state, or even the same broad cost-of-living tier, than the state-level index alone would indicate, simply because childcare pricing is driven by hyper-local supply and demand rather than a broad regional average.

Healthcare costs, especially outside employer-sponsored insurance, follow their own separate geography entirely, covered from a different angle in our guide to health insurance across state lines. A state with an otherwise favorable RPP can still carry meaningfully higher or lower healthcare costs specifically, depending on local provider competition and insurance market structure, in a way the general price index does not isolate.

For a household where either of these categories is a large share of the budget, running the numbers on the specific line items that matter most — rather than trusting the single blended RPP figure — is worth the extra ten minutes.

Reading the three data sets without over-trusting them

Each of the sources behind this guide measures something slightly different, and mixing them up is the easiest way to end up with a confident but wrong answer.

RPP compares places, not paychecks. The index is a price comparison. It tells you what the same basket costs in one state relative to another, but it says nothing about taxes. A state with a low RPP and a high income tax can erase part of the advantage, while a state with no wage income tax can make a middling RPP look better than it is. Run the price adjustment first, then layer the tax treatment of your wages on top as a separate step.

OEWS is an employer survey. The wage figures come from establishments reporting what they pay their employees, not from workers describing their own earnings. That makes the data strong for what employers actually pay in an occupation, and weaker for total compensation, since it will not show equity, bonuses structured outside base pay, or the self-employed. Treat a percentile as a benchmark for base wages, not as a verdict on a complete offer.

Census income tables describe households, not jobs. Median household income combines every earner under one roof, so it is a poor yardstick for whether a single remote salary is high or low. It is useful for a different question: how much room a typical household in a state has, which helps explain why local rents and prices settle where they do.

Used together, the three answer three separate questions: what things cost, what the job pays, and what households in the area live on. No single one of them should carry the whole decision.

Putting it together

Before comparing a remote offer across states, or deciding where the same remote job is worth the most:

1. Look up both states’ RPP from the BEA data.
2. Adjust the salary using the formula above, to get comparable real purchasing power.
3. Check the OEWS wage data for your occupation and target state, to see whether the raw number is competitive locally in the first place.
4. Ask whether your employer location-adjusts pay, and whether a future move would trigger a change — before you sign a lease based on the current number.
5. Break down your own budget by category, since housing usually drives most of the RPP gap and your personal housing situation may not track the state average.

None of this is a reason to avoid a move to a cheaper state — the arithmetic genuinely favors it in most cases. It is a reason to run the actual numbers rather than the felt sense that “everything is cheaper here,” which is true, but not uniformly, and not always by as much as it looks from the outside.