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A base-rate check for the millionaire stories in your head.
The average US household net worth runs far higher than the median because the top 1% pulls the average up by a long thin tail. Per Federal Reserve SCF 2022, the average US household held about $1.06M in net worth while the median held about $192k. When someone says 'the average millionaire has...' remember: the average is rarely typical. The median is the household in the middle.
Source: Federal Reserve Survey of Consumer Finances 2022
A 5% real return over 40 years multiplies a dollar by 7×. A 5% real return over 20 years multiplies a dollar by 2.65×. Doubling the horizon roughly triples the result — because compounding multiplies each year on the prior year. Most household wealth accumulates in the last decade of a long horizon, not the first.
Source: Damodaran 1928–2024 S&P historical returns dataset
Above a baseline income, the saving rate matters more than the headline salary. A household earning $80k and saving 25% accumulates roughly the same wealth in 30 years as a household earning $160k and saving 5%. Per Dynan, Skinner & Zeldes (2004), top-decile US earners save 25%+ of income; bottom-decile saves near zero — and the gap drives long-run wealth distribution as much as the income gap itself.
Source: Dynan, Skinner, Zeldes 'Do the Rich Save More?' Journal of Political Economy, 2004 (NBER 7906)
Two households with identical inputs (income, saving rate, time horizon) can end up with very different wealth depending on the sequence of returns they happen to live through. The 2007–2012 cohort of real-estate buyers spent years underwater; the 1980–2010 cohort of index investors compounded historically. The dial shows ranges, not points, because the range is what the data actually contains.
Source: S&P Case-Shiller National HPI; Damodaran 1928–2024
One in five US households is already a millionaire. The surprising part is not the number — it is the path.
This tool lines up seven paths to $1M side by side: career + saving, index funds, real estate, small business, founder, active trading, and lottery. Guess first. Then tap any path for the median outcome and the typical downside.
The path the culture calls boring — career + saving + index + home — is the path that built the largest population of US millionaires. The path the culture calls cinematic — founder + crypto + lottery — is the path that built the smallest.
The base rates are not a moral claim. They are the distribution.
Per the 2022 Federal Reserve Survey of Consumer Finances, about 18% of US households hold $1M+ in net worth. That is roughly 24 million households. The cultural noise around millionaires — the loud cars, the loud opinions, the conference-stage origin stories — points at founders, crypto, and lottery winners. The data points somewhere quieter.
Top-decile US household portfolios are dominated by three line items: retirement accounts, broad equity holdings, and home equity. Founder stock, crypto, and lottery winnings register as statistically negligible in the top decile. The path most US millionaires actually walked — a high-income career with consistent saving, an index portfolio held through decades, a primary residence kept long enough to appreciate — happens to be the path that does not get filmed.
Seven paths exist in the cultural imagination as competing options. Most existing tools compare two paths at most — lottery vs index, real estate vs stocks, founder vs employee. None of them put all seven on a single screen under the same time horizon and the same dollar deployment.
Side-by-side comparison forces a question every single-path tool dodges: under the same conditions, which path actually performs? A $500/month deployment over 30 years compounded at historical real returns reaches the $1M target in about 45% of historical S&P rolling windows for an index portfolio. The same $500/month deployed into Powerball tickets reaches the $1M target in about 0.001% of cumulative-odds calculations. The data does the comparing.
Founder outcomes are not bad. They are uneven.
The average exit cash for a VC-backed founder is $5.8 million per Hall & Woodward's 2010 American Economic Review study. That number is true and easy to misread. The median venture-backed founder exit cash is zero.
The average is pulled up by a long thin tail. Most VC-backed founders sit at the start of that tail. About 75% of VC-funded companies return less than invested capital per Ghosh's 2012 Harvard Business School follow-up. Adjusting for the risk of holding equity in a single company you can't quickly sell, the typical founder's stake is worth less than the salary forgone to start the company.
A founder who walks in clear-eyed about the median can still choose the path — there are reasons to start companies beyond expected cash value. The base rate is what changes once the median outcome is on the same screen as the average.
Trading has upside. The problem is not possibility — it is base rate.
Barber and Odean's 2000 Journal of Finance paper looked at 78,000 retail brokerage accounts from 1991 to 1996 and found that the most active traders earned 11.4% annualized while the market returned 17.9% over the same window. The 6.5-point gap was driven by transaction costs and behavioral mistakes — overconfidence in stock-picking, churning portfolios, chasing momentum at peaks. The paper has been replicated in dozens of follow-ups across markets and decades.
Cryptocurrency adds extra variance to the same behavioral pattern. Kogan, Makarov, Niessner and Schoar's 2024 NBER paper ("Are Cryptos Different?") found retail traders chase momentum in crypto — they buy after rallies and sell after drawdowns. Glassnode's May 2022 on-chain data showed 40% of all Bitcoin holders simultaneously underwater. The 2021-vintage retail cohort was 40-55% underwater within six months.
The probability headline for active trading at typical retail deployment is about 3% of reaching $1M over 30 years at $500/month — and that 3% is after fees, taxes, and the behavioral drag.
The tool reports a conditional probability per path: if a household focused on a path with typical participant deployment, what is their probability of reaching the target by the chosen horizon? Conditional means: assuming you stay on that path, with that level of effort and capital, for that long.
The conditional probability is not the same as the absolute population probability. About 80% of top-decile US earners reach $1M through career + saving over 30 years — but the top decile is roughly 10% of the US workforce. The absolute population probability via that path is closer to 8%. The tool surfaces both numbers on Path 1 explicitly. For Paths 4 (small business) and 5 (founder), where attempt rates narrow the gate sharply, the tap-expand panel surfaces the gating caveat.
The base-rate mode also assumes paths are pursued as a primary wealth strategy. In real life, paths overlap — most US millionaires have a career, an index portfolio, and a home simultaneously. The path-overlap caveat sits in the "How we counted this" drawer; the tower reports the conditional probability per path so a user considering a single path can see what that single bet looks like.
The tool reports probability ranges from historical distributions; it does not predict future returns. Damodaran's 1928–2024 S&P dataset and Nareit's 1972–2024 REIT dataset are the longest-running datasets available, but the next 30 years may not resemble the last 30. The model assumes 5% real annual returns by default — calibrated to be conservative relative to the S&P long-run real geometric mean of about 6.5%. A user who toggles nominal 7% in the drawer sees higher headline probabilities; the YMYL discipline keeps real as the default because $1M in 2056 dollars is meaningfully less than $1M in 2026 dollars.
Lottery odds are deterministic and audited by the Multi-State Lottery Association. Founder odds are based on Hall & Woodward's 2010 distribution of VC-backed exits. Small business odds derive from BLS BED Table 7 survival rates plus Census ABS distribution among surviving owners.
The tool is calm about what it can and cannot say. The math is sourced, the assumptions are visible, and the answer is the user's to interpret.
Reviewed by Planimora Research · Last reviewed 2026-05 against Federal Reserve SCF 2022 + 7 per-path Tier 1–2 sources. Updated quarterly when underlying data refreshes.
Money math
Same currency, future tense. millionaire-odds-ladder asks where the seven paths land; compound-interest asks how much your monthly contribution actually grows.
Money math
What a dollar bought in the past, frame by frame. The wealth ladder asks what the dollar will buy at the top; dollar-melt asks what it bought yesterday.
Money math
The biggest after-housing budget line, decomposed. Six sourced tiles show where ownership money actually goes — the same Counting House math discipline.
Health benchmarks
Sibling anti-grift framing — same honest-math-vs-wellness-grift positioning DNA, applied to behavior patterns instead of wealth ladders. Tier 1-2 sources beside every claim.
General tools
Honest-math sibling — base-rate odds for the millionaire path, multiplier framing for the time-budget path. Both refuse the over-promise; both ship the receipts.
Privacy
We use PostHog and Google Analytics to understand how the tools are used. No raw inputs ever leave your browser. Bucketed values only.
A comparison. Not financial advice.