How much does it cost to sequence a human genome?
Human genome sequencing cost · $/genome · measured 2001–2022 · fitted live from 22 observations by the Many Minded cost-curve engine.
The last measured value is $525 (2022, OWID / NHGRI). Over the fitted window the series falls 21.5% a year (80% interval −34.3% to −6.2%) — a halving every 2.9 years (80%: 1.7–10.8). Carried forward on that fit, 2027: $156 (80%: $34–$730).
Last measured 2022. The source has not published a newer figure we have verified, so the 4 years since are projections too, not observations.
the curve
what this series measures
cost of sequencing one full human genome (NHGRI production cost).
what the fit says
| quantity | value | how it is computed |
|---|---|---|
| fitted rate | −21.5%/yr (80%: −34.3% to −6.2%) | Farmer–Lafond drift over the trailing window · n=11 points, 10 years |
| halving time | 2.9 years (80%: 1.7–10.8) | implied by the fitted drift |
| curve check | decelerating (−61% → −21%/yr) | first half of the record versus the second, judged against the direction that helps this metric (falling) |
| regime break | ~2009 (−48% → −30%/yr, F=38.5) | Chow-style best single breakpoint, kept only above a conservative sup-F threshold |
Not shown for this curve, because the machinery returns nothing: Wright's law (no cumulative-deployment series for this technology).
the projection, with its interval
Log cost as a random walk with drift: the forecast variance grows with horizon (τ + τ²/m), which is why these bands widen instead of staying parallel. The middle column is the least useful number on this page; the interval is the claim.
| year | central fit | 80% interval | |
|---|---|---|---|
| 2023 | $412 | $228 to $743 | near horizon |
| 2024 | $323 | $135 to $773 | near horizon |
| 2025 | $254 | $84 to $771 | near horizon |
| 2026 | $199 | $53 to $754 | the band is already wide here |
| 2027 | $156 | $34 to $730 | the band is already wide here |
| 2028 | $123 | $21 to $702 | the band is already wide here |
| 2029 | $96 | $14 to $671 | far horizon — read the interval, not the middle |
| 2030 | $76 | $8.95 to $640 | far horizon — read the interval, not the middle |
| 2031 | $59 | $5.80 to $608 | far horizon — read the interval, not the middle |
| 2032 | $47 | $3.77 to $577 | far horizon — read the interval, not the middle |
| 2033 | below $45 | — | past the point where a number would be theater |
The table stops at $45 — a decade below the lowest value ever observed here. Past that, quoting a number would be theater rather than forecast.
questions this page answers
How much does it cost to sequence a human genome?
$525 as of 2022, the latest measured value in the series (OWID / NHGRI). The fitted trend has it falling 21.5% a year, with an 80% interval of −34.3% to −6.2%.
How fast is the cost of sequencing a genome falling?
−21.5% a year over the fitted window, an 80% interval of −34.3% to −6.2% — a halving every 2.9 years (80%: 1.7 to 10.8 years). Fitted from 11 observations spanning 10 years.
What will the cost of sequencing a genome be in 2027?
The central fit says $156, inside an 80% interval of $34 to $730. The interval is the forecast; the middle number is only its midpoint. Bands widen with horizon because shocks accumulate — a constant-width band would be overconfident.
Is the decline in the cost of sequencing a genome accelerating or slowing?
Splitting the record in half, the fitted rate went from −61% to −21% a year — decelerating. A Chow-style test finds a regime break around 2009 (−48% → −30% a year, F=38.5). Regime breaks, not window choice, are what dominate this method's errors — which is why every projection here carries an interval.
Where does this data come from?
OWID / NHGRI. 22 observations spanning 2001–2022. Curated benchmark history, extended by a weekly authoritative fetch and by news figures fact-checked against their source before they may touch a fit. Both the observation ledger and the fitting code are public, and the engine publishes its own calibration score and its misses.
the raw numbers
Every observation behind the fit, unrounded by us and unsmoothed. This table is here on purpose: graphs make people underestimate exponential change, and the raw series beside the curve is the one correction shown to work.
| year | $/genome | change |
|---|---|---|
| 2001 | $95.3M | — |
| 2002 | $61.5M | −35.5% |
| 2003 | $40.2M | −34.6% |
| 2004 | $18.5M | −53.9% |
| 2005 | $13.8M | −25.5% |
| 2006 | $10.5M | −24.1% |
| 2007 | $7.15M | −31.7% |
| 2008 | $343K | −95.2% |
| 2009 | $70.3K | −79.5% |
| 2010 | $29.1K | −58.6% |
| 2011 | $7.74K | −73.4% |
| 2012 | $5.90K | −23.8% |
| 2013 | $5.10K | −13.6% |
| 2014 | $4.01K | −21.4% |
| 2015 | $1.25K | −68.9% |
| 2016 | $1.18K | −5.5% |
| 2017 | $1.01K | −13.7% |
| 2018 | $1.23K | +21.4% |
| 2019 | $606 | −50.8% |
| 2020 | $512 | −15.6% |
| 2021 | $454 | −11.3% |
| 2022 | $525 | +15.5% |
where this comes from
- Source: OWID / NHGRI — refetched weekly by the engine's benchmark cron.
- Basis: measured. Curated benchmark history, refreshed by the weekly authoritative fetch, extended by figures our daily editor extracts from the news — each of which is fact-checked against its source article before it may touch a fit.
- Observations: n=22, spanning 2001–2022. Ledger last updated 2026-09-07.
- Fit: the Farmer–Lafond stochastic model — log cost as a random walk with drift over a 10-year trailing window, Student-t tails, and (for series under 15 points) a volatility floor at their drift-volatility prior. The code is readable source; the observation ledger is public JSON.
- Reuse: this compiled series and the numbers on this page are published under CC BY 4.0 — take them, cite the page. The underlying source keeps its own terms (Our World in Data publishes under CC BY 4.0).
- Accuracy: the engine grades its own intervals in public — every feasible hindcast re-fitted on data as it stood, scored for whether the actual landed inside the 80% band. The calibration score is on the engine page, misses included.
the rest of the graph
Recent briefs from HEALTH, the daily record of what moved:
- A simulated pregnancy could test preterm-birth drugs before any patient does 2026-10-30Researchers built a digital twin to model how drugs affect immunity and time to labor, aiming to test treatments without risking pregnant patients.
- Boosting one brain-cell protein appears to slow aging across mouse bodies 2026-10-30Raising FGF13 in astrocytes improved memory and cut senescence and inflammation in old mice, but the work is preclinical and has no human data.
- Reading RNA in urine to find bladder cancer without a scope 2026-10-30A Stanford-built urine test caught 95 of every 100 bladder cancers in early testing, but it is still a proof of concept.
- Stand-alone Medicare drug plan premiums projected to jump by half in 2027 2026-10-30A KFF analysis projects average stand-alone drug plan premiums rising from $34 to $51 a month, while CMS projects a $1 increase.
- Merck and Moderna's personalized cancer vaccine data get a post-ESMO podcast review 2026-10-30STAT's podcast covers how oncologists reacted to detailed Merck–Moderna mRNA vaccine data shown at ESMO. The page gives no results.
- An oral pill aimed at Alzheimer's immune cells clears an early safety bar 2026-10-29Vigil Neuroscience's VG-3927, a pill targeting microglia, shows brain entry and tolerability in phase 1. Whether it helps patients is unknown.
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