Tag: Statistics Canada

  • 50000 jobs

    ALTO HSR Citizen Research Initiative · Plain Language Brief

    Where do 50,000 jobs come from?

    Alto says building the railway will support about 50,000 jobs. We checked that figure against two railways that publish both what they spend and who they employ.

    50,000

    Jobs Alto says the project will support during construction. Its report defines the figure once, in an appendix.

    ~18,000

    People actually working on the railway, on our estimate, at Alto’s own budget and schedule.

    The number is not wrong. It is a standard output of a standard economic model, and when we rebuilt it from scratch we got almost exactly the same answer. But roughly two thirds of it is not people building a railway, and Alto’s report says so in only one place.

    What Alto says

    Alto’s report Canada’s Moment: The Economic Opportunity of High-Speed Rail, published in August 2026, says the Québec City–Toronto line will support approximately 50,000 jobs while it is being built, and more than 5,000 once it is running. The figure has been repeated in federal announcements and in news coverage since. Almost everywhere it appears, it appears on its own: 50,000 jobs during construction.

    An earlier version of the number was slightly different. The federal announcement of 19 February 2025 gave over 51,000 jobs and a GDP gain of up to $35 billion a year. Transport Canada was still publishing that pairing in its 12 December 2025 release. Canada’s Moment, eight months later, gives 50,000 jobs and $24.5 billion. The report does not explain the difference between the two GDP figures, which is about 43 per cent.

    What the report actually says

    Further into the report, in section 4.3.3 and in two identical tables — Table 7 in the body and Table A4 in the appendix — the figure is described much more fully. There it is:

    • 50,000 full-time equivalent jobs. A full-time equivalent is work converted to a standard full-time measure. It is not a count of people.
    • Spread across a ten-year construction period.
    • Three kinds of work counted together. Direct work on the project; supply chain work at the firms that supply it; and induced work, meaning jobs supported when those workers spend their wages in shops, restaurants and everywhere else.
    • Produced by the 2019 Statistics Canada input-output model. This is a standard tool that estimates how spending in one part of the economy ripples through the rest of it.
    • Labelled an upper estimate.

    The appendix is careful about what this does and does not mean. It says the results describe economic activity supported by spending rather than a net gain to the country. It leaves them out of the project’s benefit-cost ratio. And it notes that the method does not allow for labour shortages or other limits on how much the economy can absorb.

    That is a fair and reasonably candid description. The difficulty is where it sits. Those two pages of an eighty-four page report carry it, and nothing else does. The summary at the front, the table comparing high-speed rail with the alternative, Alto’s website, the government announcements and the news coverage all carry the number without any of it.

    The number reaching the public is not the number the appendix defines. It is the same figure with its definition left behind.

    How we checked it

    Two railways publish both halves of the equation — how much they spend in a year, and how many people that spending puts to work.

    • HS2 in Britain publishes audited capital spending and a programme workforce figure every year.
    • The Réseau express métropolitain in Montréal, built by CDPQ Infra, published a jobs claim and periodic counts of workers on site. It is also the closest match anywhere to the way Alto has been set up.

    Both land in the same place: roughly 2,200 to 3,300 people working for every billion dollars spent in a year.

    Alto’s own published figures are $60 to $90 billion of capital over ten to fourteen years. That works out to $4.3 to $9.0 billion a year, which is around half the rate HS2 is spending at present. Applying the observed rate from those two projects to Alto’s own budget and schedule gives 13,000 to 21,000 people working on the programme in the central cases, and a ceiling near 30,000 if the project spends at the top of its range on the fastest possible build.

    We then rebuilt the whole 50,000 the way the appendix says it is built — adding supply chain and induced work on top of the people on site, using standard multiplier ratios.

    Rebuilding the 50,000 — ten-year build at the top of Alto’s capital range
    LayerWhat it meansPeople
    Owner and engineeringAlto’s own staff and the designers700 – 2,000
    Site and contractorPeople building the railway16,000 – 17,300
    Supply chainStaff at firms supplying the project14,400
    InducedJobs supported when those wages are spent18,200
    TotalAlto publishes 50,00050,600

    Initiative estimate, built from HS2 and REM published spending and workforce figures and standard supply-chain and induced multiplier ratios, applied to Alto’s own published capital range and schedule.

    What the check found

    50,600, against Alto’s published 50,000. The two agree to within one per cent, using the same three categories Alto names in its own appendix, by a route that borrows nothing from Alto’s model. On that basis the figure stands up as an output of the model that produced it.

    What the agreement also does is fix what is inside the number. On Alto’s own budget, roughly 18,000 of the 50,000 are people working on the railway. The rest — nearly two thirds — are jobs at supplier firms and jobs supported when wages are spent again. Fewer than four in ten are on the railway itself.

    A second and completely separate check gives the same answer. Direct labour usually accounts for 30 to 40 per cent of spending on heavy civil construction. Applied to $75 billion over ten to twelve years, at a fully loaded cost of $100,000 to $140,000 per worker-year, that supports somewhere between 13,400 and 30,000 people, centred near 19,000. Two methods that share no inputs bracket the same range.

    The other way of reading it

    Turn the question round and the arithmetic bites. If 50,000 really meant 50,000 people working on the railway, the project would need to spend $15.2 to $22.7 billion every year — a programme of $152 to $273 billion, against the $60 to $90 billion Alto has published. That is close to the $142 billion the Initiative’s own cost model predicts for this corridor. On the arithmetic set out here, Alto’s employment claim implies a more expensive railway than the one Alto has costed.

    The question the report leaves open

    “50,000 full-time equivalent jobs during a ten-year construction period” can be read two ways. It can mean 50,000 full-time equivalents working in each year of the decade. Or it can mean 50,000 years of work in total, spread across the decade. The two readings are ten times apart, and the report does not say which is meant.

    Only the first works arithmetically. The second would put the project at 0.67 job-years for every $1 million spent, against 2.6 at HS2 and 2.6 to 3.3 at the REM — roughly a quarter of the labour intensity of any comparable railway now being built. So this analysis treats the figure as an annual average, which is the reading that makes it defensible. A reader has no way to know without being told.

    Two more things in the tables

    Upper, not central

    Both tables head their value column “upper estimate”. One appendix earlier, the $24.5 billion GDP figure is labelled a central estimate, drawn from a stated range of sensitivity tests. So a range exists behind the 50,000 as well. What has been published is its top. The Initiative has recorded the same pattern twice before in this report: ranges that appear in the commissioned studies but not in the public summaries.

    The comparison figures have no source

    Table 2 sets high-speed rail against the alternative, “high-frequency rail”, and credits that alternative with 44,000 construction jobs at a capital cost of $45 to $75 billion. Neither figure carries a footnote, a source or a method anywhere in the document. The implied job intensity is internally consistent with the high-speed figures, so the numbers do not look wrong. The point is that a reader has no way to check them.

    This has been released before

    Employment modelling for this corridor has been published once already, and what happened to it is worth knowing. The Joint Project Office — VIA Rail and the Canada Infrastructure Bank — produced a business case for High Frequency Rail, the slower predecessor to this project, in December 2021. It gives construction employment as 71,000 to 96,000 annual equivalent jobs. That is a third unit of measure again, different from Alto’s 50,000 and from the 51,000 in the 2025 announcement, but stated plainly enough that a reader knows what is being counted.

    The Canada Infrastructure Bank released that document in full in November 2025. The same document, released under a separate access request, cuts the identical sentence: “an estimated ___ annual equivalent jobs could be created,” with the sentence left grammatical around the missing number and no exemption provision marked against it. We hold both versions.

    So the same employment figure, for the same corridor, has been treated as releasable by one federal body and withheld by another. That is worth putting on the record now, before anyone argues that the modelling behind the 50,000 is too commercially sensitive to publish.

    What we are asking Alto to publish

    Alto holds all of this already. None of it would cost anything the organisation does not have.

    1. Whether the 50,000 is an annual average, or a cumulative count of full-time-equivalent years.
    2. How it splits across the three categories Table A4 names: direct, supply chain and induced.
    3. The range the upper estimate was drawn from, and the central value within it.
    4. The year-by-year profile across the ten-year construction period.
    5. The assumption made about imports and Canadian content in the input-output run.
    6. The capital and operating spending profile that was fed into the model.
    7. The source of the 44,000 jobs and the $45 to $75 billion attributed to high-frequency rail in Table 2.

    And, more simply than any of that: carry the appendix definition alongside the number, wherever the number appears.

    How to read the numbers on this page

    Every figure attributed to Alto, HS2, CDPQ Infra, the California High-Speed Rail Authority or a Government of Canada release is quoted from the published source listed below, and can be checked there.

    Every other figure on this page is a calculation by the Initiative from those published inputs, and is described as an estimate where it appears. The reconstruction is an estimate rather than a measurement: it applies labour intensity observed on two comparator projects, together with standard supply-chain and induced multiplier ratios, to Alto’s own published capital range and schedule.

    Where Alto has not published something, this page says so rather than inferring it, and makes no claim about why any particular figure was or was not published.

    Read the full paper

    50,000 Jobs? — the research paper (PDF)

    Ten pages. Sets out the method in full, the year-by-year spending and workforce figures for HS2 and the Réseau express métropolitain, the layer-by-layer reconstruction, the job-years-per-dollar comparison against California and the US Federal Highway Administration, and the complete source list.

    Sources and notes

    1Alto, Canada’s Moment: The Economic Opportunity of High-Speed Rail, August 2026. Section 4.3.3 and Tables 7 and A4 (50,000 full-time equivalent jobs across direct, supply chain and induced effects, ten-year construction period, upper estimate; $86 billion value added; $23 billion tax revenue). Appendix A.2 methodology box (2019 Statistics Canada input-output model; static; excluded from the benefit-cost ratio; no account taken of labour shortages or capacity limits). Table A2 ($24.5 billion GDP, central estimate). Table 2 (44,000 construction jobs and $45 to $75 billion capital for high-frequency rail, unsourced). Section 4.3.3 sidebar (Canadian materials commitment).
    2Prime Minister of Canada, news release, 19 February 2025 (over 51,000 jobs during construction; GDP gain of up to $35 billion annually).
    3Transport Canada, news release, 12 December 2025, naming Ottawa–Montréal as the first segment (51,000 jobs during construction; up to $35 billion in GDP).
    4HS2 Ltd, Annual Report and Accounts 2022–23 to 2025–26 (capital expenditure and workforce), and six-monthly reports to Parliament, December 2024, July 2025 and May 2026 (jobs supported, supply chain businesses, spend to date, cost range and schedule).
    5CDPQ Infra, REM fact sheet and project pages; REM news releases of April 2018, November 2020 and June 2021 (34,000 jobs; over 30,000 direct and indirect jobs; more than 2,000 and then more than 3,000 workers on site).
    6California High-Speed Rail Authority, economic impact analyses for FY2023–24 and FY2024–25, and the March 2024 release on construction jobs and daily dispatch.
    7US Federal Highway Administration, Employment Impacts of Highway Infrastructure Investment (13,000 job-years per US$1 billion; 64/36 split between direct-and-indirect and induced).
    8Exchange rates: Bank of Canada daily rates, 1 September 2026. 1 GBP = C$1.8795; 1 USD = C$1.3896. Per-kilometre cost comparison uses the Initiative’s own ECI/CFI cost model.
    ALTO HSR Citizen Research Initiative Independent, non-partisan citizen research on the proposed Toronto–Québec City high-speed rail corridor. This page is a plain-language summary of the research paper 50,000 Jobs?, September 2026. The full paper sets out the method, the tables and the complete source list. Nothing on this page is a statement about the motives or conduct of any person or organisation. It is an analysis of published figures and of what those published figures do and do not say.
  • Two point two trillion

    Two Point Two Trillion

    ALTO’s headline economic claim is true of the Canada that existed in 2019. It is presented to the public as today’s.

    ⚠ Two studies, two summaries

    ALTO has commissioned two economic studies and published both. Aviseo Consulting produced a computer model of the effect of high-speed rail on the whole Canadian economy. CPCS, working with HDR, produced a study of its effect on tourism. Both reports are careful. Both state their limits plainly. Both are free to download from ALTO’s website.

    This brief is not about those studies. It is about the difference between what they say and what ALTO says they say. That difference is where the public numbers come from — and it is what a travel trade article repeated to a wide audience on July 20, 2026, without opening either report.

    What we found, in one minute

    The famous 1.1 per cent is 1.1 per cent of Canada’s 2019 economy. The Aviseo report says so on page 13, in those words. ALTO’s public pages drop the year and call the money “today’s value.” Canada’s economy is now about a third bigger than it was in 2019, so the same claim in today’s money would be about $36.5 billion, not $24.5 billion — or, if you keep the dollar figure, about 0.74 per cent, not 1.1.

    Almost all of it is one assumption. Of the $24.4 billion the model produces, $21.0 billion comes from assuming businesses in and around Toronto, Montréal, Ottawa and Québec City become 3 per cent more productive. Change that one dial to 2 per cent and the answer is $13.8 billion. Change it to 5 per cent and it is $34.5 billion. ALTO publishes the middle figure and not the range.

    The two studies disagree with each other about tourism. Aviseo counts international visitors only and says domestic tourism is mostly people spending money they would have spent anyway. CPCS builds its headline on domestic travel within the corridor. The two use different methods that cannot be added together. Neither of ALTO’s summaries mentions the other study.

    And in the tourism study’s base case, the small towns get nothing at all. Under the scenario where no extra tourism policy is put in place, Peterborough and Trois-Rivières receive zero additional visitor spending and zero additional GDP. The blog post announcing that study is titled “How High-Speed Rail Will Boost Tourism from Big Cities to Small Towns.”

    The Arithmetic

    1.1 per cent of which year?

    ALTO’s website puts the claim in one line: a “1.1% increase in Canada’s GDP ($24.5 billion in today’s value)”. GDP means the total size of the economy — everything the country produces in a year.

    Work backwards from those two numbers and you can calculate how big the economy would have to be for both to be right at once.

    $24.4B
    the benefit the study actually reports
    Aviseo report, Table 1
    1.1%
    the share of the economy that represents
    Aviseo report, page 13
    $2.22T
    the size of economy where both are true
    $24.4 billion divided by 1.1 per cent

    Statistics Canada measures the economy every three months. In the first quarter of 2026 it came to $3,321,588 million — about $3.32 trillion. That is roughly $1.1 trillion more than the figure the two numbers imply. Statistics Canada

    Two notes on these figures. Nobody has claimed that Canada’s economy is $2.22 trillion. That number is our own division of the two figures ALTO publishes together, and it is here because it is what those two figures imply about each other. And the benefit appears on this page as both $24.4 billion and $24.5 billion: the first is the number in Aviseo’s own table, the second the rounded form ALTO uses on its benefits page. They are the same estimate.

    The study explains why, and it is not hiding anything. The Aviseo model is built on Statistics Canada’s 2019 picture of the economy, chosen because 2020 and 2021 were pandemic years and the data from them is not reliable. Page 13 then states the result carefully: the gain is about $24.4 billion, which is roughly 1.1 per cent of Canada’s 2019 GDP.

    That is the whole finding. The study says 2019. ALTO’s website says “today’s value.”

    If you use the 1.1 per cent

    Applied to today’s economy, the benefit would be about $36.5 billion a year. ALTO’s published dollar figure understates its own claim by roughly a third.

    If you use the $24.4 billion

    Measured against today’s economy, that is about 0.74 per cent — not 1.1. The headline percentage is too high for the dollar figure beside it.

    There is a further wrinkle worth knowing. The model is what economists call static. It does not project forward year by year. It asks a single question: what would 2019 have looked like if the railway had already been running? The report says so directly. That means there is no discounting and no present-value calculation anywhere in it — so the phrase “in today’s value” describes a piece of arithmetic the study never performed.

    Where The Number Comes From

    Almost all of it is a single dial

    The model adds up three separate effects. The report breaks them out, so we can see exactly how much each one contributes to the $24.4 billion.

    ChannelContributionShare of total
    Productivity — businesses getting more done because cities are better connected$21.0B86%
    Labour supply — people working more hours because commuting is quicker$2.7B11%
    Tourism — extra spending by international visitors$0.8B3%
    Total$24.4B100%

    Nearly nine tenths of the headline comes from the productivity line. So it is worth knowing exactly how that number was produced.

    The modellers picked a figure from the international research for how much more productive businesses become when a fast rail link arrives. The research offers a range. They chose 3 per cent for their middle case, then applied it to the economies of four metropolitan areas: Toronto, Montréal, Ottawa and Québec City.

    Those four metros produce roughly a third of Canada’s economy. Three per cent of a third is about one per cent. The headline is close to being arithmetic from the assumption rather than a discovery about railways.

    What happens when you move the dial

    The report tests three settings. At 2 per cent, the total is about $13.8 billion. At 3 per cent, it is $24.4 billion. At 5 per cent, it is $34.5 billion. Across everything the report tests, the full range runs from $14.8 billion to $41.0 billion. ALTO’s blog post and website give one number from the middle of that range and no range at all.

    And note which places are in the calculation

    Toronto, Montréal, Ottawa and Québec City. Not Peterborough. Not Trois-Rivières. Not Laval. The model gives the productivity benefit — nearly nine tenths of the whole claim — to the four largest cities on the line and to nowhere else.

    The research the modellers drew on says these effects concentrate within about 30 kilometres of a station. Because nobody knows yet where the stations will be, the study used each city’s whole metropolitan area as a stand-in for that 30-kilometre circle. The report is open about this. It means the 3 per cent boost is applied to every business in those metros, including the great many that will never go near the train.

    Study Versus Summary

    What the reports say, and what the blog posts say

    Both studies are honest about their limits. Both blog posts announcing them are not. This is the pattern at the centre of this brief.

    What the report saysWhat ALTO’s summary says
    Aviseo: the gain is roughly 1.1 per cent of Canada’s 2019 GDP.ALTO’s blog: the analysis concludes ALTO will permanently uplift Canada’s GDP by 1.1 per cent. No year. ALTO’s benefits page: $24.5 billion in today’s value.
    Not carried:The base year
    Aviseo: results run from $14.8B to $41.0B depending on which assumptions are used.One figure, from the middle. The range appears in neither the blog post nor any public ALTO page.
    Not carried:The range
    Aviseo: the study deliberately excludes construction and operating costs, looking only at long-term effects.Presented as the economic case for building the railway. A study that excludes costs cannot tell you whether a project is worth its price.
    Not carried:The scope limit
    CPCS: the scenarios are illustrative, order-of-magnitude, and “should not be interpreted as forecasts.”ALTO’s blog: CPCS developed forecasts, and the report includes tangible projections giving real-world, objective results.
    Contradicted:The report’s own caution
    CPCS: three scenarios — $177M, $1.0B, $3.9B in added GDP, depending on how much tourism policy is coordinated.The middle figure only. The low scenario, roughly six times smaller, is not mentioned.
    Not carried:The low case
    Both reports: commissioned and paid for by ALTO. Aviseo’s cover states the work was undertaken on ALTO’s behalf. CPCS notes the opinions are the authors’ own.Both blog posts describe the consultants as independent — in the same passage that says ALTO engaged them.
    As stated:The word “independent”

    To be clear about who did what

    Neither consultancy has done anything wrong here. Aviseo tested six different sets of economic assumptions and two labour-market conditions, ran close to a hundred simulations, reported ranges throughout, and stated its base year. CPCS labelled its scenarios illustrative and warned against reading them as forecasts. The reports are the careful part. The summaries are where the caution disappears.

    Two Studies, One Question

    The two reports disagree about tourism

    Both studies estimate how much extra economic activity tourism would bring. They arrive at similar-looking numbers by opposite routes, and the two cannot simply be added together or compared.

    Aviseo — $0.8 billionCPCS — $1.0 billion
    Counts international visitors only. The report says domestic tourism is largely people spending money they would have spent somewhere else in Canada anyway, so it has limited effect on the national total.

    Uses a model of the whole economy, which subtracts activity drawn away from elsewhere.
    Its middle scenario is driven mostly by travel within the corridor — exactly the domestic tourism Aviseo set aside.

    Uses a simpler method that adds up ripple effects through suppliers and wages without subtracting what was displaced. This produces larger figures by design.
    Result:Two numbers that cannot be combined

    There is a third figure in circulation. ALTO’s FAQ page advertises $800 million a year in tourism revenue. That matches Aviseo’s contribution-to-GDP figure, which is not the same thing as revenue — and it matches no revenue figure in either report.

    So ALTO’s public materials carry a tourism benefit that is variously $0.8 billion of national output, $1.0 billion of national output, and $800 million of revenue, drawn from two studies using incompatible methods, one of which discounts the category the other relies on. Neither blog post mentions that the other study exists.

    The Small Towns

    In the base case, two station cities get zero

    The CPCS tourism study models three futures. The railway is identical in all three. What differs is how much extra tourism policy governments put in place around it — last-mile transit, regional shuttles, coordinated visitor information. The low coordination scenario is the one where the railway gets built and nothing else changes.

    CityLow coordinationHigh coordination
    Toronto$37Mup to $1,500M
    Québec City$50Mup to $500M
    Montréal (incl. Laval)$44Mup to $900M
    Ottawa-Gatineau$21Mup to $560M
    Trois-Rivières$0up to $25M
    Peterborough$0up to $35M

    Zero. Not a small amount — nothing. The report’s GDP table records the same: Peterborough unchanged at $475 million, Trois-Rivières unchanged at $318 million.

    Even under full corridor-wide coordination, Peterborough reaches up to $35 million against Toronto’s $1.5 billion — roughly 43 to 1. The blog post announcing this study is titled “How High-Speed Rail Will Boost Tourism from Big Cities to Small Towns.”

    The Initiative has examined this study in full elsewhere — its scope, the conditions attached to its scenarios, the rural corridor regions left outside its frame, and the cost side it does not count. Benefits for Stations, Costs for the Corridor

    The Missing Side

    A study that cannot tell you if it is worth it

    The Aviseo report states in its introduction that it deliberately leaves out construction and operating costs, in order to focus on long-term effects. That is a reasonable choice for the study. It has a consequence.

    A benefit figure with no cost beside it cannot answer the only question that matters: is this worth building? The report never claims to answer it. ALTO’s summary presents it as though it does, and the trade coverage went further still, running the entire economic case without a single dollar of cost anywhere in it.

    The cost side is not a mystery. It is simply somewhere else. ALTO’s published figure is $60 to $90 billion — a range its own chief executive has described as a working assumption rather than an estimate, with real numbers not expected until 2027 or 2028, after the route is chosen. The Initiative’s analysis of the full ledger puts ALTO’s central benefit-cost ratio at about 0.11, against the 1.0 that marks a project paying its way. Financial Analysis

    The shape of the published record

    The benefit is modelled in detail by two consultancies, published to two significant figures, and repeated by every outlet covering the project. The cost is a range spanning $30 billion, described by the proponent as an assumption, and resolvable only after the decision it is meant to inform has been taken. That asymmetry is the finding, not the individual numbers.

    This is the pattern the Oxford researcher Bent Flyvbjerg documents across large infrastructure projects worldwide: benefits arrive early, precisely, and in dollars; costs arrive late, as ranges, after commitment.

    The Chain

    Six weeks, and the reports were not cited

    The article that prompted this brief promised readers what others are missing about ALTO’s economics, and led on tourism. Here is what had already been published.

    2019
    The year of the economy the Aviseo model is built on. Everything downstream is expressed in this year’s terms.
    2024
    Aviseo runs the model. ALTO supplies its passenger forecasts in May and June.
    June 8, 2026
    ALTO publishes “How High-Speed Rail Will Boost Tourism from Big Cities to Small Towns,” with the full CPCS tourism report attached for download.
    June 2026
    The Aviseo report is uploaded to ALTO’s website.
    July 13, 2026
    ALTO publishes “How Alto Will Reshape Canada’s Economy,” with the full Aviseo report attached for download. It states the 1.1 per cent without the year, the range, or the cost exclusion.
    July 20, 2026
    A travel trade site publishes a long article on ALTO’s economics and tourism benefits under a headline promising what others are missing. Its two themes are the two blog posts. It cites neither report, calls the analysis independent, and contains no cost figure of any kind.

    Seven days after one blog post and six weeks after the other. The tourism angle presented as the overlooked discovery had been the subject of an entire ALTO blog post and a 42-page commissioned report, both freely available, for a month and a half.

    Why this matters more than one bad article

    Each outlet in a chain like this can be cited by the next as confirmation. A figure that has never been independently checked ends up looking like something everybody agrees on, purely because it has been repeated. In this case the answer was not hidden. It was a click away from the two blog posts the article’s themes are drawn from.

    What the article contains, and what it does not

    The article cites neither report. It describes the analysis as independent. It contains no cost figure of any kind. Its two themes are the subjects of two ALTO blog posts published seven days and six weeks earlier, each with the full commissioned report attached for download on the same page.

    Summary · July 2026

    Where things stand

    Wrong year
    “$24.5 billion in today’s value.” The study says 1.1 per cent of Canada’s 2019 GDP. In today’s economy the same claim is either $36.5 billion or 0.74 per cent, not $24.5 billion and 1.1 per cent.
    Wrong kind
    “Today’s value” describes a calculation the study never did. The model is static and contains no discounting. Its results are annual, not a one-time total.
    Not carried
    The range. Aviseo reports $14.8B to $41.0B. CPCS reports $177M, $1.0B and $3.9B. ALTO publishes one figure from the middle of each.
    Not carried
    The scope limit. Aviseo excludes costs by design. The study is presented as the economic case for a project whose price it never considered.
    Contradicted
    “Should not be interpreted as forecasts.” CPCS’s words. ALTO’s summary calls the same scenarios forecasts, tangible projections and objective results.
    At odds
    Benefits for small towns. Under the scenario where only the railway is built, Peterborough and Trois-Rivières receive $0. The blog announcing that report is titled “from Big Cities to Small Towns.”
    Unreconciled
    Two tourism figures. $0.8B from one study counting international visitors, $1.0B from another counting domestic travel, by methods that cannot be combined — plus $800M of “revenue” on the FAQ that matches neither.
    As stated
    “Independent.” Both consultancies were engaged and paid by ALTO. Both blog posts state this in the same passage that calls the firms independent, so a reader who takes the word to mean “not commissioned by the proponent” is reading it in a sense the passage itself rules out.
    Fragile
    Eighty-six per cent of the claim rests on one assumption — a 3 per cent productivity gain applied to four metropolitan economies. At 2 per cent the total is $13.8B; at 5 per cent, $34.5B.
    Sound
    The studies themselves. Both are careful, both state their limits, both are published in full and free to download. Our argument is with the summaries, not the analysis.

    What we are and are not saying

    We are not saying high-speed rail cannot bring economic benefits, and we are not criticising the consultants who did this work.

    We are saying that ALTO commissioned two careful studies and then published summaries that removed the base year, the ranges, the scope limits and the warnings — and that the resulting figures now circulate as settled facts. On the arithmetic, the position is narrow and easy to check: 1.1 per cent and $24.5 billion cannot both describe today’s Canada, and the study says which year they describe.

    ALTO could correct this in a sentence. Adding the words “of 2019 GDP” to its benefits page would make the claim accurate.

    How to read the numbers on this page

    Every figure attributed to Aviseo, CPCS, ALTO or Statistics Canada is quoted from the source listed below and can be checked there. Every other figure is our own calculation from those published inputs: the $2.22 trillion implied economy, the $36.5 billion and 0.74 per cent restatements in current terms, the observation that 3 per cent of roughly a third of national output is about 1 per cent, the 43-to-1 Toronto-to-Peterborough ratio, and the benefit-cost ratio of about 0.11, which comes from our own financial analysis and not from either commissioned study.

    Where a study or a summary does not state something, we say so rather than inferring it, and we make no claim about why any particular qualification was or was not reproduced.

    Download
    Two Point Two Trillion — Full Brief (PDF)
    The complete analysis, with all figures, tables and sources
    Download PDF
    Sources

    Where our figures come from

    1.Aviseo Consulting, An Overview of the Structural Economic Impacts of Alto: Computable General Equilibrium Modelling Approach, June 2026. Prepared on behalf of ALTO. Source of the 2019 calibration, the $24.4 billion figure, the 1.1 per cent of 2019 GDP statement (page 13), the $14.8B–$41.0B range, the channel breakdown, and the productivity settings of 0.02, 0.03 and 0.05. altotrain.ca (PDF)
    2.ALTO, “How Alto Will Reshape Canada’s Economy,” blog post, July 13, 2026. States the 1.1 per cent without the base year or range, and describes the commissioned report as independent. Links the Aviseo report. altotrain.ca
    3.CPCS, in association with HDR, Tourism in the Alto Corridor: Current Conditions and Potential Impacts, June 2026. Prepared for ALTO. Source of the three coordination scenarios, the per-city spending and GDP tables, the statement that the scenarios should not be interpreted as forecasts, and the finding on business spending declines. altotrain.ca (PDF)
    4.ALTO, “How High-Speed Rail Will Boost Tourism from Big Cities to Small Towns,” blog post, June 8, 2026. Reports the medium scenario only, and describes the scenarios as forecasts and tangible projections. Links the CPCS report. altotrain.ca
    5.ALTO, “Discover Alto’s Many Benefits,” project benefits page. Source of the “$24.5 billion in today’s value” phrasing and the construction and operational jobs figures. altotrain.ca
    6.ALTO, “Answering your questions.” Source of the $800 million annual tourism revenue claim. altotrain.ca
    7.Statistics Canada, Gross domestic product, income and expenditure, first quarter 2026, released May 29, 2026. Table 1 gives gross domestic product at market prices, seasonally adjusted at annual rates, of $3,321,588 million for the first quarter of 2026. Underlying series: Table 36-10-0103-01. Table 1  ·  Table 36-10-0103-01
    8.Rituparna Dutta Choudhury, “Canada’s Toronto–Québec City High-Speed Rail Could Unlock GDP Growth: What Others Are Missing About Alto’s Billion Dollar Economic Transformation,” Travel and Tour World, July 20, 2026. travelandtourworld.com
    9.ALTO HSR Citizen Research Initiative, ALTO Financial Analysis. Source of the benefit-cost ratio of approximately 0.11, the cost-per-kilometre model, and the achievable ridership frontier of 5 to 12 million annual trips against ALTO’s 24 million target. citizenresearch.ca
    10.ALTO HSR Citizen Research Initiative, Tourism Study brief, June 2026. Examines the scope of the CPCS study, including the exclusion of rural corridor regions. citizenresearch.ca
    11.Bent Flyvbjerg, on optimism bias and reference-class forecasting in the appraisal of large infrastructure projects.