Cost of Living vs Quality of Life, What Really Matters

The Purchasing Power Formula

The most important number in relocation planning isn't your salary, it's your purchasing power. The formula is simple:

Purchasing Power = Salary ÷ (RPP ÷ 100)

Where RPP is the BEA Regional Price Parity for the metro (national average = 100).

Example: the same salary in Omaha (RPP 91.9) → purchasing power of $87,051. The same $80,000 in Seattle (RPP 111.1) → purchasing power of $72,007. The Omaha resident has 21% more buying power despite the identical nominal salary.

Purchasing Power Across Five Metros

Below is a worked comparison showing how the same 80K income translates to different purchasing power depending on local cost of living. RPP figures reflect the current BEA vintage shown on each metro's profile page (see the linked profile for the live figure):

Metro	RPP	$80K Salary	Purchasing Power
Omaha, NE	91.9	$80,000	$87,051
Raleigh, NC	98.2	$80,000	$81,466
Chicago, IL	103.6	$80,000	$77,220
Seattle, WA	111.1	$80,000	$72,007
San Francisco, CA	115.6	$80,000	$69,204

Key Insight

The $17,847 gap between Omaha ($87,051) and San Francisco ($69,204) means the San Francisco earner would need a 26% raise just to match the Omaha earner's purchasing power, a $1,487/month difference in spending power. No promotion closes that gap. Use our metro finding guide to identify your best candidates.

Use PlainRelocate's relocation calculator to calculate purchasing power for any salary in any metro.

Monroe

$95,697
Eagle Pass

$95,460
Dothan

$95,428
Texarkana

$95,224
Enid

$94,934
Hammond

$94,719
Shreveport

$94,377
Florence

$94,321
Houma

$94,004
Wildwood

$93,650

What this shows The same $80,000 salary stretches furthest in these metros, each bar is the real purchasing power computed from that metro's BEA Regional Price Parity (lower RPP = more buying power). Tap a bar to see the underlying RPP.

Housing: The Dominant Variable

The most important number in relocation planning isn't your salary, it's your purchasing power.

Housing costs explain most of the cost-of-living variation between metros. Groceries, utilities, and transportation vary by 10-20% between regions. Housing prices differ far more, 5-10x between the cheapest and most expensive metros. This means housing affordability is the single most important cost factor in relocation.

PlainRelocate shows HUD Fair Market Rents alongside BEA cost data for every metro. Compare both, a metro might have average overall costs but unusually cheap (or expensive) housing relative to its RPP.

The 30% Rule in Practice

The standard affordability threshold: housing should cost no more than 30% of gross income. In the most expensive metros (San Francisco, New York, San Jose), median housing exceeds 50% of median income. In affordable metros (many in the Midwest and South), it's under 20%.

For a household earning $70,000/year ($5,833/month), the 30% rule means maximum housing cost of $1,750/month. In a metro with median two-bedroom rent of $1,100, you have $650/month of breathing room. In a metro where that same apartment costs $2,400, you exceed the threshold by $650/month, which must come from other budget categories. Read our cost of living data guide for methodology details on how these figures are calculated.

Quality of Life: What Data Captures

PlainRelocate measures five quality-of-life dimensions with data:

Safety: FBI crime rates show how safe you'll feel. Low violent crime is the baseline for quality of life.
Education: NCES school data matters for families. Student-teacher ratios and school availability indicate the education environment.
Jobs: BLS wage data shows career opportunities. A cheap metro with no jobs in your field isn't a viable option.
Environment: EPA air quality data affects long-term health. Some otherwise-attractive metros have significant air quality challenges.
Workplace: DOL data shows employer safety records, relevant if you'll work in industries with physical hazards.

Combining Dimensions into a Composite Score

PlainRelocate aggregates these five dimensions into a composite life score for each metro. The composite reflects how a metro performs across cost, wages, crime, schools, and environment, weighted equally. This means a metro with excellent affordability but poor air quality may score similarly to one with moderate scores across all dimensions.

Browse metro rankings to see which metros score best on each dimension, or our research pages for deeper analysis.

Quality of Life: What Data Can't Capture

The most important quality-of-life factors are unmeasurable:

Social connections: Being near family and friends is consistently the strongest predictor of life satisfaction. No data compensates for isolation.
Career trajectory: Some metros offer better networking, mentorship, and advancement opportunities in specific industries. This isn't in any dataset.
Cultural fit: Some people thrive in urban density; others need rural space. This is personal preference, not data.
Climate preference: Do you want four seasons, eternal sunshine, or mild rain? NOAA climate normals show the numbers, but only you know your preference.

The Decision Framework

Calculate purchasing power for your salary (or expected salary) in candidate metros using the calculator.
Filter by non-negotiables: Eliminate metros that fail your must-have criteria (safety, career, climate).
Compare quality-of-life dimensions on metro pages for your remaining candidates.
Factor in state taxes: No-income-tax states provide 5-10% more take-home pay.
Visit finalists: Data narrows the list. In-person experience makes the choice.

Frequently Asked Questions

What is purchasing power?

Purchasing power is your salary adjusted for local cost of living. A $100,000 salary in a metro with RPP 115 (15% above average) has the purchasing power of $86,957 in a nationally-average location. Use PlainRelocate's calculator to see what your salary is really worth in different metros.

Is it always cheaper to live in a low-cost area?

Not always. Low-cost metros may have fewer job opportunities, lower wages, fewer amenities, and less access to healthcare specialists. The "cheapest" place to live is the one where your income-to-cost ratio is highest AND that meets your minimum quality-of-life requirements.

How much does housing really matter?

Housing is typically 30-40% of household spending and is the most variable cost between metros. Median home prices can differ 5-10x between the cheapest and most expensive metros. A metro with average costs but cheap housing may be more affordable overall than one with cheap groceries but expensive housing.

What quality-of-life factors can't be measured?

Data can't capture proximity to family and friends, cultural fit, career networking opportunities, neighborhood character, recreational preferences (beach vs. mountains), or community belonging. These subjective factors often matter more than any data point. Use data for the shortlist, but visit and evaluate fit in person.

Should I prioritize salary or cost of living when relocating?

Neither alone, prioritize the ratio. A $70,000 salary in a metro with RPP 88 gives you $79,545 in purchasing power. A $95,000 salary in a metro with RPP 120 gives you $79,167. The lower-salary option is actually slightly better financially. Always calculate purchasing power, not just salary.

Do state taxes affect the cost of living calculation?

BEA Regional Price Parities measure the cost of goods and services but do NOT include taxes. States with no income tax (Texas, Florida, Nevada) provide an additional cost advantage not captured in RPP. For a complete picture, factor in state income tax, property tax, and sales tax alongside the RPP-adjusted salary.

Sources

Bureau of Economic Analysis, Regional Price Parities
HUD, Fair Market Rents
BLS, Occupational Employment and Wage Statistics

This content is for informational purposes only and does not constitute financial advice.