What $100k Income Buys in Low-Cost US Cities (2026)

A $100,000 salary in San Jose buys roughly what $77,000 buys nationally. Move that same paycheck to a metro in Arkansas, Mississippi, or Oklahoma, and it stretches to the equivalent of about $115,000 in national purchasing power — a swing of nearly $38,000 in real spending capacity on identical nominal pay. That gap is the entire premise of domestic geographic arbitrage, and the 2024 price data released by the U.S. Bureau of Economic Analysis (BEA) in February 2026 puts hard numbers on it.

This analysis converts a fixed $100,000 remote income into real, purchasing-power-adjusted terms across low-cost US metros, then runs the tax and relocation math to produce a single annual figure: the Finluxy Geo Arbitrage Net Gain. The focus is the worker who keeps a coastal-level salary while relocating domestically — the cleanest version of geographic arbitrage, with no currency risk, no foreign filing, and no visa.

The headline numbers

Five figures frame what a six-figure income actually does once you strip out the coastal price premium.

Sources: BEA Regional Price Parities by State, 2024 (released Feb 2026); IRS Revenue Procedure 2025-32 (2026 parameters). Real value = $100,000 ÷ (RPP ÷ 100).

What the price index actually measures

Regional Price Parities express a region’s price level as a percentage of the national average. Domestic city pairs at $100k income live or die on this single index. An RPP of 100 means national-average prices. Arkansas at 86.9 means the same basket of goods, services, and housing costs roughly 13 percent less than the national norm. The arithmetic is direct: divide nominal income by the RPP-as-decimal to get real, purchasing-power-adjusted income.

At the 2024 state level, BEA reports the lowest all-items RPPs in Arkansas at 86.9, Mississippi at 87.0, and Iowa and Oklahoma tied at 87.8. The highest sit in California at 110.7, Hawaii at 110.0, and New Jersey at 108.8, with the District of Columbia at 109.9. The spread between Arkansas and California is about 23.8 index points — which, applied to a $100,000 paycheck, is the difference between roughly $115,100 and $90,300 in real terms. Nearly $25,000 of purchasing power hinges purely on geography.

Housing drives most of that gap. BEA’s separate housing-rents RPP ranges from California at 154.3 down to West Virginia at 54.2 in 2024. Rent in the most expensive state runs nearly three times the most affordable one for an equivalent unit. Since shelter is the largest line item in most household budgets, the rents parity — not the all-items figure — is where arbitrage gains concentrate.

Converting $100k into real purchasing power by metro

State RPPs understate the effect, because the cheapest metros within a low-cost state sit below the state average. The table below applies BEA’s 2024 state RPPs as a conservative floor, then pairs them with directional 2026 one-bedroom rent figures from commercial aggregators to show where the salary lands in practice.

RPP source: BEA Regional Price Parities by State, 2024 (released Feb 2026). Texas state-level RPP not isolated in the cited BEA release excerpt; figure unavailable at publication for the state line. Rent figures: RentCafe and Zumper market snapshots, mid-2026 — self-reported, directional only, and inconsistent across providers (Oklahoma City one-bedroom ranged from roughly $850 to $952 across sources in mid-2026). Real value = $100,000 ÷ (RPP ÷ 100).

Two caveats keep this honest. First, the metro RPP for any specific city runs below its state figure in the cheapest markets, so the real-value numbers above are conservative — a worker in a low-cost Oklahoma or Arkansas metro likely clears the stated figure. Second, rent aggregators disagree with each other by 10 to 20 percent on the same city in the same month, which is exactly why BEA’s index, not a listing site, anchors this analysis. The rent columns are texture, not evidence.

The tax layer most arbitrage math skips

Purchasing power is only half the equation. The other half is what the IRS and the state take before you spend anything. On a $100,000 salary in 2026, a single filer taking the standard deduction faces taxable income of $83,900 after the $16,100 standard deduction. Run that through the 2026 brackets under Revenue Procedure 2025-32 — 10 percent to $12,400, 12 percent to $50,400, then 22 percent on the remainder — and federal income tax lands near $13,170. Add FICA at 7.65 percent on the full $100,000 (the entire salary sits under the 2026 Social Security wage base of $184,500), or $7,650, and the combined federal-plus-payroll bite is roughly $20,820.

State income tax is where geography stacks a second gain on top of the price-level gain. Texas, Tennessee, and Florida levy no state income tax. A worker relocating from California — where the top marginal rate reaches into the double digits — to a no-income-tax state captures a state-tax differential on top of the COL (cost of living) reduction. The NYC to Austin savings math is the canonical version of this stacked benefit, and it generalizes to any high-tax-origin, no-tax-destination pair.

One trap deserves a flag. A remote worker employed by a company headquartered in New York may still owe New York tax under the “convenience of employer” rule, which sources income to the employer’s location rather than the worker’s. Whether moving actually escapes California tax turns on residency facts and employer nexus, not just a new mailing address. The state-tax line in any arbitrage model is contingent, not automatic.

Finluxy Geo Arbitrage Net Gain

The proprietary metric collapses every moving part into one annual dollar figure: the COL reduction in the destination versus origin, minus any pay cut, minus the tax differential, minus relocation cost amortized over the planned stay. For domestic moves at a constant $100,000 salary with no pay cut, the calculation simplifies to COL savings plus state-tax savings, less amortized relocation.

The scenario below models a single filer earning $100,000 remotely, relocating from a California metro (RPP 110.7) to a low-cost market. COL savings are estimated as the real-value swing between origin and destination price levels applied to roughly 75 percent of after-tax income that is exposed to local prices. Relocation is set at $9,000, amortized over a three-year planned stay ($3,000 per year). State-tax savings assume a California origin and a no-income-tax destination.

Method: COL savings = (origin real value − destination real value) on price-exposed share of after-tax income. RPP source: BEA 2024 (released Feb 2026). State-tax savings illustrative for a California-resident origin losing state nexus; actual figure depends on the convenience of employer rule and residency. Texas RPP shown as a segment estimate (~92) because the state line was not isolated in the cited BEA excerpt — figure unavailable at publication; range estimate based on low-cost-state segment. Relocation $9,000 ÷ 3-year stay. Per-scenario figures rounded.

The Texas figure runs lower than Arkansas or Oklahoma despite Texas’s no-tax status, because Texas metros — particularly the larger ones — carry a higher price level than the cheapest Plains and Southern states. The no-income-tax headline does not automatically win; a state with modest income tax but a much lower price level can deliver a larger total gain. That is the point most relocation content misses.

What the data shows that most coverage overlooks

Relocation guides lead with the state-tax angle because zero is a clean, memorable number. The BEA data says the price level matters more. The Arkansas-to-California RPP spread of 23.8 points moves about $25,000 of real purchasing power on a $100,000 salary. A typical state income tax differential on the same income moves closer to $6,000 to $7,000. The cost-of-living lever is roughly three to four times the size of the tax lever — yet tax gets the headline and COL gets a footnote.

The corollary: a worker fixated on no-income-tax states may relocate to a Texas or Florida metro and capture the smaller lever while leaving the larger one on the table. A lower-priced metro in a state with a modest income tax frequently nets more. Moving from a high-cost to a mid-cost area at a similar income shows the same pattern at a lower salary band. Price level is the dominant variable; tax is the modifier.

The $150k+ household calculus

For a household at $150k+, the domestic arbitrage math shifts in three ways that the single-$100k base case understates. The price-exposed share of income is lower, because high earners save and invest a larger fraction — and a 401(k) balance buys the same shares regardless of zip code, so only the consumed portion benefits from a lower RPP. The savings rate dilutes the COL lever. At the same time, the state-tax lever grows: a household clearing $150k in a high-rate state pays state income tax on a larger base, so dropping to a no-income-tax state returns more absolute dollars than it does at $100k.

Two thresholds matter at this income. First, the 2026 Social Security wage base of $184,500 means a single high earner approaching that ceiling shelters marginal wages from the 6.2 percent Social Security portion of FICA — relevant when comparing total tax loads across job offers, though not affected by relocation itself. Second, the convenience of employer rule is a live risk: a $150k+ remote worker whose employer sits in New York may find the projected state-tax savings evaporate, turning a modeled five-figure Finluxy Geo Arbitrage Net Gain into a fraction of the estimate. The remote worker geo arbitrage framework treats employer nexus as the first thing to verify, not the last.

The defensible move for this income band is to model the gain on price-exposed consumption only, treat state-tax savings as contingent on a clean residency and employer-nexus picture, and amortize relocation honestly over the realistic stay rather than an optimistic one. A household weighing what $150k buys across countries against a domestic move will usually find the domestic option captures most of the purchasing-power gain with none of the FEIE (foreign earned income exclusion) filing complexity or currency exposure — the subject of the international scenarios in this cluster, including the New York to Lisbon net-gain analysis and the San Francisco to Mexico City math.