

What changes when GDP
stops being the only comparison?
Three versions
of the good life.
The US leads in output per person. In the matched health comparison, Canada and the EU spend less per person and record longer lives.


Executive summary / the country bulletins
Three societies, in a nutshell.
The United States has the largest resource base per person. Canada combines high educational attainment with unusually concentrated export exposure. The EU pairs longer lives with substantial differences among its members. Eight common KPIs, four miniature comparisons and the trade links put these different positions in view; the chapters explain what each measure leaves out.
Highlights mark the stated highest or lowest value within this trio, not among every EU member. Spending, R&D and age structure describe levels; they do not award an overall winner.
The Canadian bulletin
Canada
41.3m people · US$2.3tn GDP / 2024
A smaller economy. A concentrated relationship.
Thick: CAThin: US / EU
CA: 48.4k → 57.5kShared scale across cards
CA: 79.2 → 81.6Shared scale across cards
Spend → 0–14.0kCurrent PPP $ / person
CA: 6.2 → 5.4Shared scale across cards
Canada's output per person is above the EU aggregate, but its recent per-person recovery is weaker. High tertiary attainment coexists with an export book dominated by the United States.
The American bulletin
United States
340.0m people · US$29.3tn GDP / 2024
The resource leader. An outcome puzzle.
Thick: USThin: CA / EU
US: 55.0k → 75.7kShared scale across cards
US: 76.6 → 78.4Shared scale across cards
Spend → 0–14.0kCurrent PPP $ / person
US: 8.4 → 6.5Shared scale across cards
The United States produces more per person and spends more on health. The matched health comparison nevertheless records shorter lives. Resources alone do not settle the institutional question.
The European bulletin
European Union
450.2m people · US$19.5tn GDP / 2024
One union. Twenty-seven versions.
Thick: EUThin: CA / US
EU: 40.2k → 54.3kShared scale across cards
EU: 77.1 → 81.4Shared scale across cards
Spend → 0–14.0kCurrent PPP $ / person
EU: 7.2 → 3.9Shared scale across cards
The EU aggregate records longer lives at lower health spending than the United States. Its average conceals substantial national variation and describes neither a single treasury nor one school system.
Executive spotlight / one common axis
Change the question. See the lead move.
Keep the three cards in place. Select a measure to compare its actual values, and make the matching KPI stand out across all three.
United States records the highest output among these three headline comparators. A larger output measure marks a larger resource base per person, not a summary of welfare.
Scope: among the three headline comparators only, not all EU member states. Not a welfare score: the chart lead moves with the selected metric and its stated rule.
The thread between the bulletins
Connected markets. Unequal dependence.
Same partner, different importance. Each bar measures the destination’s share of the named origin’s goods exports, on a common 0–100% scale.
GDP, population, attainment, territorial CO₂ and mortality: 2024. Matched health and R&D: 2023. Miniatures show the three principal economies on shared axes. The bulletin country is thick; the other two are thin. These KPIs are not combined into a welfare score; the separate proximity instrument declares its own method. Miniatures summarize the linked full figures; their source values and uncertainty remain inspectable there.
The United States, Canada and the European Union change places when the question changes. Thirty-nine exhibits and three linked instruments compare prosperity, institutions, health, learning, defence and AI. Follow the Rank Weave, inspect the Relationship Atlas, then test where Canada fits at the Atlantic Seam.
A Canadian traveler can change a destination much faster than a Canadian factory can change its customers. The earlier aviation story followed a recovery in flying that was changing direction. This comparison asks a larger question: how different are the societies on either side of the Atlantic, and how much freedom do they have to choose another course?
The clearest result appears before we reach any judgment about their institutions. In 2024, US output per person was about 39% above the EU aggregate and 32% above Canada after adjusting for purchasing power. In the matched 2023 health comparison, life expectancy was roughly three years lower in the United States than in either comparator, despite substantially higher health spending per person. Economic resources and lived outcomes describe different orderings.
That reversal is a reason to investigate how prosperity reaches people. It is not a causal estimate of what a government, a health system or a culture contributes. This story keeps the measures separate, carries the same three reference points through the evidence and opens the European aggregate wherever it conceals the important comparison.
There is no overall welfare score. Producing one would require a judgment about how much output compensates for a shorter life, how credentials compare with learning, and how much dependence a society should accept. The extension asks a different question: how similar are the measured profiles? Its weights, normalization and sensitivity remain explicit rather than becoming an identity verdict.
Your comparison / one measure at a time
Change the question.
Keep the countries.
Choose a reference, then carry it through the evidence. The units and year change with the measure. There is no hidden overall score.
2024constant 2021 international dollars
Canada
ReferenceOutput per person / 2024
The reference stays visible throughout the story.
United States
ComparatorOutput per person / 2024
+18,164 constant 2021 international dollars vs. Canada
European Union
ComparatorOutput per person / 2024
−3,192 constant 2021 international dollars vs. Canada
Average production per resident, adjusted for purchasing power and inflation; not median income.
Constant 2021 international dollars. National averages hide distribution and hours worked.
Resources
A large economy is not the same as a prosperous person.
First establish the scale. Then change the denominator.
The European Union has the largest population of the three, the United States the largest economy at market exchange rates, and Canada a much smaller domestic market. These facts matter for procurement, bargaining power, the fixed costs of research and the reach of a national firm. They do not describe the resources available to a typical household.
The EU here always means its current 27 members, excluding the United Kingdom. That statistical perimeter is deliberately fixed. A union of countries is nevertheless not a federation with one treasury, one labor market or one public-service system. Comparable columns are a device for asking questions, not a claim that their institutions are equivalent.
Three places. More than 830 million people.
2024 population / million people · geography identifies the three comparators, not their relative population size
Geographic locator. Colored land identifies the three regions; population is stated directly, not encoded by land area or overlaid bubbles.
GDP is nominal market size in current US dollars, not a purchasing-power or welfare measure. Values reuse Exhibit 02; the map’s geography is unchanged.
Geographic locator. Colored land identifies the three regions; population is stated directly, not encoded by land area or overlaid bubbles.
GDP is nominal market size in current US dollars, not a purchasing-power or welfare measure. Values reuse Exhibit 02; the map’s geography is unchanged.
The EU is a union of 27 states, Canada and the United States are federations. Keep that institutional difference in view throughout the comparison.
Read within this boundary. Categorical colors identify Canada, the United States and the fixed EU27 membership. Map area does not encode population. The clipped Atlantic locator uses generalized Natural Earth boundaries; small and offshore territories may be absent. Exact population values are separate from geography.
Source World Bank WDI · SP.POP.TOTL / Natural Earth · 1:110m country boundaries (public domain)
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million people. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVOne Atlantic. Three very different scales.
2024 · nominal GDP in US$ trillions; area represents output
Square area represents economic output on one common scale; side length is proportional to the square root of the value.
Square area represents economic output on one common scale; side length is proportional to the square root of the value.
At market exchange rates, the U.S. economy is larger than the EU economy. Canada is much smaller. Size matters for bargaining power; it says little about the experience of the typical household.
Read within this boundary. Nominal dollars measure market size, not real growth or living standards. Only these three economies are shown.
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US$ trillion. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVThe purchasing-power comparison changes both the units and the question. In constant 2021 international dollars, output per person in 2024 was approximately $75,698 in the United States, $57,534 in Canada and $54,342 in the EU. These are common purchasing-power units, not dollars that can be exchanged at a bank. The series adjusts for price differences across places and inflation through time.
GDP measures production within an economy. It is not median disposable income, household wealth, the value of unpaid care or leisure. An economy can produce more because workers produce more per hour, because more people work, because they work longer, or through some combination of those margins. The American advantage is real in this measure; the measure cannot tell us who receives it.
The output gap is substantial—and persistent.
2000–2024 · real GDP per person at purchasing power parity
GDP per person · constant 2021 international $
- EU-27
- Canada
- U.S.
Observed years are spaced proportionally. Vertical scale: 30,000 to 80,000 international $.
GDP per person · constant 2021 international $
- EU-27
- Canada
- U.S.
Observed years are spaced proportionally. Vertical scale: 30,000 to 80,000 international $.
Adjusting for population and local price levels changes the question. U.S. output per person remains substantially higher. GDP is production; it is not median household income, disposable income or a welfare score.
Read within this boundary. Constant 2021 international dollars. National averages hide distribution and hours worked.
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international $. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVRecovery looks different once population enters.
2019 = 100 · real GDP per person, 2019–2024
2019 = 100
- EU-27
- Canada
- U.S.
Observed years are spaced proportionally. Vertical scale: 90 to 115 index.
2019 = 100
- EU-27
- Canada
- U.S.
Observed years are spaced proportionally. Vertical scale: 90 to 115 index.
Indexing removes the initial income gap and isolates the recovery path. The scale of an economy and the output available per resident can move in different directions.
Read within this boundary. Each economy has its own 2019 baseline. An index does not compare income levels.
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index. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVLevels and growth also answer different questions. Between 2000 and 2024, real output per person rose by about 37.5% in the United States, 35.3% in the EU and 18.9% in Canada. Similar proportional progress can leave a substantial initial level gap in place. Conversely, a high starting level can coexist with a disappointing recent path.
Canada's 2024 output per person was slightly below its 2019 level even though the economy as a whole had expanded. Population belongs in the accounting. This observation does not identify the effect of immigration: it does not tell us what output, investment, participation or productivity would have been under another migration path. Treating an accounting denominator as a causal explanation would skip the central empirical question.
Canada grew. Output per person fell.
2024 · annual change in total real GDP and real GDP per person
Annual real growth · %
Open symbol: Total GDP. Filled symbol: Per person. Both endpoints retain the country symbol.
Annual real growth · %
Open symbol: Total GDP. Filled symbol: Per person. Both endpoints retain the country symbol.
Population growth can expand aggregate demand and the economy while reducing output per person in the short run. Canada makes that distinction particularly visible in 2024.
Read within this boundary. Descriptive accounting comparison; it does not estimate the causal effect of migration.
Source World Bank WDI · NY.GDP.MKTP.KD.ZG / World Bank WDI · NY.GDP.PCAP.KD.ZG
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%. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSV“Europe” is not a representative country.
2024 · each dot is one EU member; Canada and U.S. shown for comparison
Real GDP per person · constant 2021 international $
- EU member countries
- Canada
- United States
29 named countries, one mark each. Vertical offsets only separate labels. Full names and exact values are retained in the source table.
Real GDP per person · constant 2021 international $
- EU member countries
- Canada
- United States
29 named countries, one mark each. Vertical offsets only separate labels. Country codes stay visible at this width. Full names and exact values are retained in the source table.
The EU aggregate combines economies at very different income levels. The small high-income outliers also remind us that GDP can be shaped by cross-border commuting and multinational accounting.
Read within this boundary. Equal-size country dots are not a distribution of people. Ireland and Luxembourg need particular care.
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international $. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVThe European aggregate needs a second qualification. Member-country output per person ranges from about $34,221 in Bulgaria to $128,475 in Luxembourg. Ireland also lies far above the aggregate. Multinational production and cross-border labor can make territorial output an especially imperfect description of residents' material circumstances.
The distribution is therefore a distribution of countries, with one observation per country. It is not a distribution of European households. The distinction matters: an equal-country view gives a small state the same visual presence as a large one, whereas the aggregate answers a population-level production question.
Keep three questions separate: how large is the economy, how much does it produce per person, and how has that changed?
Public choices
Resources create possibilities. Their allocation matters.
Investment, research, public services and defense are different commitments, not pieces of one additive pie.
Canada devoted a larger share of GDP to fixed investment in 2024 than either the United States or the EU, yet it did not record the strongest recent growth in output per person. A higher investment share is not a sufficient explanation of future prosperity. The next questions concern the assets being created, their utilization, their returns and the capabilities that complement them.
A national investment aggregate includes buildings, equipment and other fixed assets across public and private sectors. Its composition is consequential, but this package does not decompose that composition finely enough to allocate responsibility. The chart establishes the question rather than supplying a housing, technology or infrastructure explanation by assumption.
Investment intensity does not mirror the income ranking.
2000 → 2024 · gross fixed capital formation as a share of GDP
Fixed investment / % GDP.Truncated vertical scale: 19-24%.
Two observed dates, one common % GDP scale. Leaders separate close labels without moving the measured endpoints.
Fixed investment / % GDP.Truncated vertical scale: 19-24%.
Two observed dates, one common % GDP scale. Leaders separate close labels without moving the measured endpoints.
Canada devotes a substantial share of output to fixed investment. That total includes housing and public and private capital; composition, utilization and productivity matter alongside the amount.
Read within this boundary. This is total fixed investment, not government investment or a measure of productive quality.
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% of GDP. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVThe U.S. leads in R&D intensity. Canada and the EU switched places.
2000, 2010, 2020, 2023 · rank among these three by R&D expenditure / GDP
R&D share / % GDP.Vertical position is rank: 1 = highest share. Labels show original shares.
Ranks use unrounded shares at the four labeled benchmark years. Equal shares receive equal ranks; unequal years are not equally spaced. Line crossings between benchmarks do not identify the date of overtaking.
R&D share / % GDP.Vertical position is rank: 1 = highest share. Labels show original shares.
Ranks use unrounded shares at the four labeled benchmark years. Equal shares receive equal ranks; unequal years are not equally spaced. Line crossings between benchmarks do not identify the date of overtaking.
Research spending is a forward-looking input, not proof of future commercial success. The rank chart exposes a change in relative position; the exact percentages remain available below.
Read within this boundary. Ranks discard distance. This is a three-economy comparison, not a world ranking; 2023 is the latest common year.
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% of GDP. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVResearch and development expenditure gives a more distinct ordering. In the common 2023 observation, the United States devoted 3.45% of GDP to R&D, against 2.26% in the EU and 1.81% in Canada. The rank path shows where the ordering changed; the percentages show how large the differences are. A rank alone cannot do both jobs.
R&D spending is an input into discovery and development, not a count of successful innovations. The benefits can accrue abroad, take years to appear or depend on complementary skills and organizational change. Still, the expenditure difference describes a material choice about how much of today's output is committed to future capabilities.
Canada and the EU devote more to public consumption.
2024 · government final consumption expenditure / GDP
Government final consumption · % GDPIndependent scale: 0-25 % of GDP.
The three expenditure concepts overlap; these panels must not be added together.
Government final consumption · % GDPIndependent scale: 0-25 % of GDP.
The three expenditure concepts overlap; these panels must not be added together.
This national-accounts measure captures publicly supplied current services. It provides a narrow comparison of service provision, alongside the separate fiscal evidence on total spending.
Read within this boundary. EXCLUDES cash income transfers and capital formation. It must not be read as total government expenditure.
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% of GDP. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVUS military expenditure starts from a higher share.
2024 · military expenditure as a share of GDP
Military spending · % GDPIndependent scale: 0-4 % of GDP.
The three expenditure concepts overlap; these panels must not be added together.
Military spending · % GDPIndependent scale: 0-4 % of GDP.
The three expenditure concepts overlap; these panels must not be added together.
The U.S. devotes a larger fraction of output to military expenditure. These are measured spending estimates, distinct from future targets and political announcements.
Read within this boundary. World Bank/SIPRI definition. EU aggregate includes members outside NATO. This is not a NATO target-compliance chart.
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% of GDP. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVEU governments spend a larger share of output.
2024 · total general-government expenditure / GDP
General-government expenditure · % GDPIndependent scale: 0-60 % of GDP.
The three expenditure concepts overlap; these panels must not be added together.
General-government expenditure · % GDPIndependent scale: 0-60 % of GDP.
The three expenditure concepts overlap; these panels must not be added together.
EU member governments collectively spend a larger share of output than Canada or the United States. This is a size comparison; composition and outcomes determine what that spending accomplishes.
Read within this boundary. IMF Fiscal Monitor April 2026. EU27 is calculated with IMF nominal-GDP weights across all 27 governments; it is not the budget of EU institutions.
Source IMF Fiscal Monitor · G_X_G01_GDP_PT / IMF WEO nominal GDP used to weight EU27 fiscal ratios / IMF Fiscal Monitor methodological and statistical appendix
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% of GDP. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVPublic-service consumption and total government expenditure must not be treated as synonyms. Government final consumption concerns services produced or purchased for current use. General government expenditure also includes transfers and other uses. The latter reached approximately 49.0% of GDP for the EU comparison, 44.3% in Canada and 37.7% in the United States in 2024.
The EU expenditure ratio is a GDP-weighted calculation across 27 national governments using IMF data. It is not the budget of EU institutions. Neither a high nor a low ratio, by itself, establishes the quality of public services, the distribution of support or the efficiency with which programs operate.
Defense starts from a different allocation again. The historical 2024 military-expenditure shares were 3.42% of GDP in the United States, 1.90% for the EU aggregate and 1.31% in Canada. These are observed expenditure concepts, not measures of readiness, NATO-compliant accounting or forecasts of later commitments. An announcement belongs to a different evidence category.
These measures overlap. Government spending can finance health, education, military activity and investment; R&D can overlap with investment. Adding them into a national spending pie would create double counting precisely where the comparison needs conceptual clarity.
A spending share identifies a commitment of resources. It does not, without another layer of evidence, identify what that commitment achieved.
A longer life
The richest economy does not deliver the longest lives.
The strongest reversal in the comparison is also where causal restraint matters most.
relative to the EU / 2023
from the EU / the same year
A descriptive reversal,
not an efficiency estimate.
Inspect the joint evidence ↓
In 2023, current health expenditure per person was approximately 13,473 international dollars in the United States, 7,355 in Canada and 5,806 in the EU. Life expectancy in the same year was 78.4, 81.6 and 81.4 years respectively. Matching the year removes one avoidable source of disagreement. It does not make the remaining explanation simple.
The health dollar is a current international dollar at purchasing power parity. The earlier GDP-per-person series uses constant 2021 international dollars. Dividing one by the other would combine incompatible price bases. Likewise, the health-spending trajectory contains price changes and must not be described as real expenditure growth.
More health spending does not guarantee a longer life.
2000 → 2010 → 2019 → 2023 · health spending and life expectancy
Life expectancy at birth · years
- EU-27
- Canada
- U.S.
5 EU members within the aggregate (gray context).
Health expenditure / person · current international $
Both axes show measured values. Segments connect the labeled observations in time order; intervening paths are not observed here, and no relationship is fitted. All eight paths share the same axes; gray member-country paths are already part of EU-27.
Life expectancy at birth · years
- EU-27
- Canada
- U.S.
5 EU members within the aggregate (gray context).
Health expenditure / person · current international $
Both axes show measured values. Segments connect the labeled observations in time order; intervening paths are not observed here, and no relationship is fitted. All eight paths share the same axes; gray member-country paths are already part of EU-27.
The U.S. spends much more per person on health care, yet life expectancy is lower. Health systems, prices, inequality, behavior and external causes of death all contribute; this chart alone cannot allocate responsibility.
Read within this boundary. Spending uses CURRENT international dollars. Its time path includes price changes. This is not a causal frontier or an efficiency estimate. Thin gray context paths show Germany, France, Sweden, Poland and Spain from the same frozen World Bank series. These countries are included in the EU aggregate; they are a selected context set, not an independent control group.
Source World Bank WDI · SH.XPD.CHEX.PP.CD / World Bank WDI · SP.DYN.LE00.IN
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years. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVThe connected observations show the path each society followed; they are not an estimated production frontier. A point further right represents higher measured expenditure. A point further up represents longer period life expectancy. Neither position identifies how much health an additional dollar would buy.
Health outcomes reflect health care alongside income distribution, living conditions, disease burdens, behavior, violence, transport risks and the history of public health. Higher spending can also reflect higher prices. Three aggregate trajectories cannot separate these mechanisms. The defensible result is narrower and important: more output and more health spending do not guarantee longer lives.
Research instrument / follow the same country
The Rank Weave
Output, health spending and lifespan tell different stories. Follow one country through the three rankings, with the year and comparison group held together.
Spending rank one means the most spent, not the best care.
A lead over the EU aggregate does not imply a lead over its individual members.
Reduced motion: step between observed years; automatic playback is off.
Canada: ranks 11 → 9 → 16 in 2023. Hover or tap a thread, or select a country above.
- Canada / Output per person
- 58,088constant 2021 international dollars / 2023
Rank 11 of 29 - Canada / Health expenditure per person
- 7,355current international dollars / 2023
Rank 9 of 29 - Canada / Life expectancy
- 81.63years at birth / 2023
Rank 16 of 29
Read all 29 matched country profiles
Rank one is the highest measured level on each axis. Exact ties share a rank. Positions describe 29 selected countries, not the world; the EU aggregate is not counted as a country. Rank gaps are ordinal, not amounts of output or years of life. This comparison does not identify a causal health-system efficiency score.
Longer lives have not followed the output ranking.
2000–2024 · life expectancy at birth
Life expectancy · years
- EU-27
- Canada
- U.S.
Observed years are spaced proportionally. Vertical scale: 74 to 84 years.
Life expectancy · years
- EU-27
- Canada
- U.S.
Observed years are spaced proportionally. Vertical scale: 74 to 84 years.
The three trajectories expose a gap that predates the pandemic and a sharp pandemic disruption. These are period life expectancies: summaries of current mortality conditions, not forecasts of a newborn’s eventual lifespan.
Read within this boundary. The EUU aggregate is retained from the source. EU national differences appear separately.
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years. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVThe longevity gap also runs within every society.
2024 · male and female life expectancy at birth
Life expectancy at birth · years
Open symbol: Male. Filled symbol: Female. Both endpoints retain the country symbol.
Life expectancy at birth · years
Open symbol: Male. Filled symbol: Female. Both endpoints retain the country symbol.
Women live longer on this measure in each of the three economies. Comparing the endpoints makes the within-economy difference visible beside the cross-economy gap.
Read within this boundary. Published male/female series; period life expectancy, not a prediction for individuals.
Source World Bank WDI · SP.DYN.LE00.MA.IN / World Bank WDI · SP.DYN.LE00.FE.IN
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years. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVLife expectancy at birth is a period statistic. It summarizes how long a hypothetical person would live under the mortality rates measured in that period; it is not a forecast of the life span that a particular newborn will realize. Short-run shocks and their reversal therefore belong in the interpretation.
The difference between women and men adds another level of variation within every comparator. A national average can conceal a substantial gap even before income, place or other social conditions enter the analysis. The figure describes the sex-specific series available in the source. It is not a causal estimate of any one risk factor.
Child mortality fell everywhere. The gap remains.
2000–2024 · deaths before age five per 1,000 live births
Deaths before age 5 / 1,000 live births
- EU-27
- Canada
- U.S.
5 EU members within the aggregate (gray context).
Observed years are spaced proportionally.
Deaths before age 5 / 1,000 live births
- EU-27
- Canada
- U.S.
5 EU members within the aggregate (gray context).
Observed years are spaced proportionally.
The long-run decline is a shared success. The remaining differences are still consequential: low rates are not interchangeable rates when the outcome is a child’s survival.
Read within this boundary. UN inter-agency estimates via World Bank; point estimates, without uncertainty bands in this extract. Lower is better. Thin gray context paths show Germany, France, Sweden, Poland and Spain from the same frozen World Bank series. These countries are included in the EU aggregate; they are a selected context set, not an independent control group.
Source World Bank WDI · SH.DYN.MORT
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per 1,000. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVHealth care is financed through different channels.
2023 · shares of current health expenditure; each bar totals 100%
Share of current health expenditure · %
Financing channels use neutral fills and patterns, not the country colors. Each bar totals 100%.
Share of current health expenditure · %
Financing channels use neutral fills and patterns, not the country colors. Each bar totals 100%.
Public financing, direct household payments and other financing sources form different mixes. A lower out-of-pocket share does not automatically mean a lower household burden when total health expenditure is much higher.
Read within this boundary. Other financing is residual: 100 minus government and out-of-pocket shares. It includes voluntary insurance and other sources; it is not synonymous with insurance.
Source World Bank WDI · SH.XPD.GHED.CH.ZS / World Bank WDI · SH.XPD.OOPC.CH.ZS
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%. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVChild mortality asks a different, more bounded question. The probability of dying before age five fell across all three comparators, but the gap remains. The 2024 estimates were 6.5 per 1,000 live births in the United States, 5.4 in Canada and 3.86 in the EU. These are official model-based mortality probabilities, not a direct count of deaths in a single birth cohort.
Financing arrangements provide context without resolving the outcome comparison. Government financing, out-of-pocket payments and the residual category sum to current health expenditure. The residual must not simply be renamed private insurance. Nor is an out-of-pocket share a measure of unmet need or the financial burden on a low-income household: its denominator is total expenditure, not household income.
Europe contains several longevity stories.
2024 · EU member states, Canada and the United States
Life expectancy at birth · years
- EU member countries
- Canada
- United States
29 named countries, one mark each. Vertical offsets only separate labels. Full names and exact values are retained in the source table.
Life expectancy at birth · years
- EU member countries
- Canada
- United States
29 named countries, one mark each. Vertical offsets only separate labels. Country codes stay visible at this width. Full names and exact values are retained in the source table.
The EU average is useful for comparing scale. It can hide differences large enough to matter for the apparent comparison with North America.
Read within this boundary. Equal-size dots represent country averages, not individual lifespans or population weights.
Source values, definitions & download 29 records
years. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVEurope's position should not become a reassuring curtain. The aggregate sits among member countries with different mortality histories and living conditions. Showing those countries prevents a continental mean from standing in for every resident, while the national scope of the observations prevents us from claiming to have mapped inequality within each country.
A serious health-system comparison would next examine prices, access, preventable and treatable mortality, age structure and the distribution of outcomes. The present evidence is enough to reject the idea that a resource ranking settles the question. It is not enough to award causal credit.
The spending-outcome reversal is an empirical finding. A league table of health-system efficiency would be a different, unestimated claim.
The next generation
A qualification, a test score and an opportunity are different things.
Education changes the comparison again. It also makes the limits of aggregation unusually visible.
Education spending records resources committed to learning. Tertiary attainment records completed qualifications. PISA measures selected skills among tested 15-year-olds. These measures concern different populations, periods and outcomes; one cannot serve as a direct validation of another.
Even the spending comparison has an unusual European denominator. The 2021 WDI EU value is the median of 26 reporting member-country expenditure shares. It is explicitly a member-country median, not the ratio of all EU education expenditure to all EU output. Canada and the United States remain national ratios.
Education budgets are inputs, not attainment.
2021 · government education expenditure / GDP; EU member median
Public education spending · % GDP
Public education spending · % GDP
A budget share captures the resources committed to education. It does not reveal instructional quality, the distribution of opportunity, private spending or what students actually learn.
Read within this boundary. EU value is the official median of 26 reporting members, NOT EU expenditure divided by EU GDP. Canada and U.S. are national figures. Public spending only; 2021 is the latest common year.
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% of GDP. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVThe education comparison depends on the subject.
PISA 2025 · mean scores for all EU27 members, Canada and the U.S.
PISA points / one common score scale across Science, Reading and Mathematics.
- Canada
- United States
- Germany
26 other EU member profiles (gray context).
Segments compare subjects, not elapsed time. All 87 means retain their supplied 95% confidence intervals, including the muted context profiles. Standard errors and exact bounds remain inspectable. No EU average is constructed.
PISA points / one common score scale across Science, Reading and Mathematics.
- Canada
- United States
- Germany
26 other EU member profiles (gray context).
Segments compare subjects, not elapsed time. All 87 means retain their supplied 95% confidence intervals, including the muted context profiles. Standard errors and exact bounds remain inspectable. No EU average is constructed.
Follow the same country across science, reading and mathematics. Canada and the US remain prominent; Germany is the initial EU-country example, and inspection brings any other member into focus. All 87 supplied confidence intervals are retained. No EU mean is invented.
Read within this boundary. Country means with sampling uncertainty. Canada and U.S. carry response/sampling cautions in the report; scores are not a causal school-quality ranking. No invented EU average. Source sampling flags apply to Canada, the United States and the Netherlands. Canada had 77.4% weighted student response against an 80% standard and potential upward student-level bias. The precise US/Netherlands adjudication wording was not independently re-extracted. Unflagged rows are not a comparability certification.
Source OECD PISA 2025 · CMEC official report, tables B.1.2 / B.3.3–5
Source values, definitions & download 87 records
PISA points. Displayed up to two decimal places; CSV retains the numerical source precision. Published standard errors and confidence limits are retained; pointwise intervals are not simultaneous pairwise tests.
Download this exhibit as CSVThe PISA exhibits retain the published 2025 estimates from the official CMEC national report, including its international comparison tables. An independent check matched the official report's edition and numerical tables to the frozen extracts. This is not a new analysis of student records. Published standard errors, confidence limits and source sampling cautions travel with the estimates.
Sampling cautions matter especially for Canada, the United States and the Netherlands. Canada's weighted student response rate was 77.4%, below the 80% standard, and the report identifies potential upward student-level bias. The other two systems retain their source flags; their precise adjudication wording was not independently re-extracted. An unflagged row is not a certificate of perfect comparability.
There is no manufactured EU student mean. An unweighted mean of country scores would answer a different question from a student-weighted estimate, and neither can be substituted silently for the source's country observations. The table shows the European systems themselves alongside Canada and the United States.
The subject matters. Science, reading and mathematics measure related but distinct competencies. The connected subject profiles make those differences visible on one common score scale, with published uncertainty retained. The connecting lines compare subjects, not time or student progress; no pooled European score is constructed.
The same reading mean can conceal different distributions.
PISA 2025 reading · P10–P90 range, inner quartiles and median
Reading score · PISA points
Whiskers: P10-P90. Box: P25-P75. Central line: median (P50), not mean. The reported P90-P10 gap is retained independently of rounded endpoints.
Reading score · PISA points
Whiskers: P10-P90. Box: P25-P75. Central line: median (P50), not mean. The reported P90-P10 gap is retained independently of rounded endpoints.
Canada and the United States both have a published reading mean of 490. The U.S. distribution stretches further in both directions. A national mean can conceal both stronger top performance and a weaker lower tail.
Read within this boundary. Selected EU members are reference cases, not an EU aggregate. These are student percentile ranges, not confidence intervals. Reported values are rounded; sampling cautions apply to Canada and the U.S.
Source OECD PISA 2025 · CMEC official report, tables B.1.2 / B.3.3–5
Source values, definitions & download 6 records
PISA points. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVEuropean mathematics outcomes span both North American benchmarks.
PISA 2025 · country mean mathematics scores
Mean mathematics score · PISA points
Country means with the supplied 95% confidence limits, not limits reconstructed from rounded standard errors. Close point estimates do not establish a ranking. An asterisk marks a source sampling caution; see the figure note.
Mean mathematics score · PISA points
Country means with the supplied 95% confidence limits, not limits reconstructed from rounded standard errors. Close point estimates do not establish a ranking. An asterisk marks a source sampling caution; see the figure note.
A country-level distribution gives a more honest European comparison than a fabricated EU score. The pattern also changes when the subject changes from reading to mathematics.
Read within this boundary. Dots are estimated country means; whiskers are published 95% confidence intervals. They are not individual pupils. Canada and U.S. have sampling cautions; differences need not be statistically significant. Source sampling flags apply to Canada, the United States and the Netherlands. Canada had 77.4% weighted student response against an 80% standard and potential upward student-level bias. The precise US/Netherlands adjudication wording was not independently re-extracted. Unflagged rows are not a comparability certification.
Source OECD PISA 2025 · CMEC official report, tables B.1.2 / B.3.3–5
Source values, definitions & download 29 records
PISA points. Displayed up to two decimal places; CSV retains the numerical source precision. Published standard errors and confidence limits are retained; pointwise intervals are not simultaneous pairwise tests.
Download this exhibit as CSVCanada and the United States both had a reported reading mean of 490 points. Yet the reported distance between the 90th and 10th percentiles was 273 points in Canada and 312 in the United States. Similar averages can accompany different spreads. In the percentile figure, the central mark is the median, not that mean.
The published percentile gap uses underlying values before rounding. Subtracting the displayed rounded endpoints can therefore differ by a point from the reported gap. Both belong in the exact-value record, with their roles kept separate. The central box runs from the 25th to the 75th percentile; the outer interval runs from the 10th to the 90th. Neither is a confidence interval.
The mathematics comparison uses another kind of interval: published uncertainty around a country mean. It does not show the spread of individual students' scores. Pointwise confidence intervals also do not establish simultaneous significance for every pair of countries in a long ranking.
Nothing in these distributions identifies the contribution of family background, school organization or a particular policy. Estimating a new socioeconomic gradient would require student records, plausible values, replicate weights and a suitable design. The education escalator story examines the opportunity question more directly; this comparison establishes why it cannot be settled with the average alone.
Canada leads on higher-education credentials.
2024 · tertiary attainment among adults aged 25–34
Adults aged 25–34 with tertiary education · %
Adults aged 25–34 with tertiary education · %
Credentials and demonstrated skills answer different questions. Canada has the largest share with tertiary qualifications, including short-cycle degrees. PISA measures a different cohort and a different outcome.
Read within this boundary. Three official national survey sources with broadly aligned degree boundaries. EU: ISCED5–8/private households; Canada: LFS, excluding territories; U.S.: associate degree or higher/civilian noninstitutionalized. Canada published to whole percentages. Adapted from Statistics Canada. This does not constitute an endorsement by Statistics Canada of this product.
Source Eurostat EDAT_LFSE_03 / Statistics Canada Table37-10-0130-01; Labour Force Survey / US Census Bureau CPS2024 Table1; calculation from age25–29 and30–34 counts
Source values, definitions & download 3 records
%. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVCredentials produce another ordering. Tertiary attainment among people aged 25-34 was 69% in Canada, 52.7% in the United States and 43.9% in the EU in 2024. These figures include short-cycle qualifications as well as degrees. National survey populations and coverage are not perfectly identical, and Canada's published whole-percentage precision should remain visible.
The people in this attainment comparison are not the 15-year-olds in the PISA assessment. Migration, completion, cohort replacement and the structure of qualifications can all affect attainment. A high credential share does not replicate a test-score comparison, just as a score distribution cannot be read as a distribution of adult earnings.
Keep the input, the credential, the demonstrated skill and the distribution of opportunity in separate analytical columns.
Future constraints
The next decade starts from different constraints.
Age structure, fertility and territorial emissions qualify the national success stories without determining their futures.
People aged 65 and over represented approximately 22.0% of the EU population, 19.8% of Canada's and 17.9% of the US population in 2024. These age structures matter when interpreting employment rates, health demand and fiscal pressures. A comparison that ignores them can attribute a compositional difference to institutional performance.
Age structure is not destiny. Participation, migration, productivity, health and the design of institutions change the consequences of aging. Nor does a fertility rate supply a population forecast on its own. Cohort size, mortality and migration remain part of the demographic arithmetic.
Europe is further into population ageing.
2000 → 2024 · population aged 65 and over
2024 population composition: aged 65+ and under 65.
Each square represents one percentage point, not one actual person. A partial square retains the fractional share. Neutral squares are the under-65 remainder; no other age bands are implied.
2024 population composition: aged 65+ and under 65.
Each square represents one percentage point, not one actual person. A partial square retains the fractional share. Neutral squares are the under-65 remainder; no other age bands are implied.
The 2024 population composition is shown on a common 100-unit field. Colored cells represent the share aged 65 and over; the neutral remainder is under 65. The 2000 share and the change remain visible alongside the composition.
Read within this boundary. Share of population, not a fiscal dependency ratio. Each cell represents one percentage point, not one observed person. Fractional cells retain the underlying share. Under 65 is calculated as 100 minus the age-65-plus share; no finer age bands are inferred.
Source values, definitions & download 3 records
%. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVLow fertility is a shared constraint.
2000–2024 · births per woman
Births per woman
- EU-27
- Canada
- U.S.
Observed years are spaced proportionally. Vertical scale: 1 to 2.2 births per woman.
Births per woman
- EU-27
- Canada
- U.S.
Observed years are spaced proportionally. Vertical scale: 1 to 2.2 births per woman.
The demographic challenge crosses the Atlantic. Fertility, migration and longevity jointly determine population change; the chart isolates just one component.
Read within this boundary. Period total fertility rate. The 2.1 reference is a conventional approximate replacement benchmark, not a universal threshold.
Source values, definitions & download 75 records
births per woman. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVThe approximate replacement benchmark in the fertility chart is a demographic reference, not a policy target or a guarantee of population stability. It concerns a long-run reproduction concept under assumptions, whereas the plotted total fertility rate is a period measure. The distinction prevents a useful reference line from becoming an explanation of the next year's population change.
Environmental comparisons require an equally explicit perimeter. Territorial emissions are attributed to where production occurs. Consumption-based measures also account for emissions embodied in trade. A reduction in domestic emissions cannot, on its own, establish an equal reduction in the footprint of everything residents consume.
Territorial carbon footprints remain far apart.
2000–2024 · CO₂ emissions per person, excluding land-use change
Territorial CO₂ · tonnes per person
- EU-27
- Canada
- U.S.
Observed years are spaced proportionally.
Territorial CO₂ · tonnes per person
- EU-27
- Canada
- U.S.
Observed years are spaced proportionally.
The EU emits substantially less CO₂ per person than either North American economy. Energy mix, industrial structure, transport, climate and consumption patterns all matter.
Read within this boundary. Territorial CO₂; excludes land-use change and does not reassign emissions embedded in imports. This is not a consumption footprint.
Source values, definitions & download 75 records
tonnes per person. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVOutput can rise while domestic emissions fall.
2000 → 2010 → 2019 → 2024 · output per person and territorial CO₂ per person
Territorial CO₂/person · tonnes
- EU-27
- Canada
- U.S.
Real GDP/person · constant 2021 international $
Both axes show measured values. Segments connect the labeled observations in time order; intervening paths are not observed here, and no relationship is fitted.
Territorial CO₂/person · tonnes
Real GDP/person · constant 2021 international $
Both axes show measured values. Segments connect the labeled observations in time order; intervening paths are not observed here, and no relationship is fitted. All three panels use identical x and y domains.
Moving right and down means greater real output per resident alongside a smaller territorial carbon footprint. It is evidence of this particular decoupling measure, not proof that all environmental pressures have fallen.
Read within this boundary. Real GDP in constant 2021 international dollars; territorial CO₂ excludes emissions embodied in imports.
Source World Bank WDI · NY.GDP.PCAP.PP.KD / World Bank WDI · EN.GHG.CO2.PC.CE.AR5
Source values, definitions & download 12 records
tonnes per person. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVThe carbon series measures territorial carbon dioxide per person, excluding land-use change. It is not a measure of every greenhouse gas, a consumption footprint or a comprehensive environmental score. Per-person figures make differently sized economies more comparable, but they still leave production structure, energy systems and climate outside the explanation.
The connected output-emissions chart preserves both observed coordinates. Movement toward more output and fewer domestic emissions is visible where it occurs. It does not identify how much resulted from technology, energy substitution, structural change or activity moving abroad. Calling the path a fitted decoupling frontier would add a model that has not been estimated.
These qualifications do not make the descriptive progress meaningless. They identify the boundary within which it is true, and the additional evidence required before extending the conclusion to consumption, global emissions or a particular policy.
A constraint changes the question policy must answer. It does not supply a forecast or assign responsibility by itself.
Bound together
A relationship can be large for both sides, and indispensable to only one.
Return to Canada. This time the denominator is the export book.
In the consistent 2025 goods-trade snapshot, 72.5% of Canada's merchandise exports went to the United States. Canada accounted for 15.4% of US merchandise exports. The same commercial relationship therefore occupies very different positions in the two economies.
The directional chord separates exports in one direction from exports in the other. Ribbon color identifies the exporter, the arrowhead the destination, and width the value in current euro billions. Region arcs reflect the displayed incoming and outgoing links, not shares of world trade. Domestic trade, services and investment are outside this view.
The Atlantic is an economic relationship, not just a comparison.
2025 · exporter-reported bilateral goods exports, € billions
Directed goods exports / € bn. Arrowheads point to the destination; ribbons use the exporter's color.
- EU-27 to U.S.554.61 € bn
- EU-27 to Canada48.74 € bn
- U.S. to EU-27367.41 € bn
- U.S. to Canada297.8 € bn
- Canada to U.S.357.41 € bn
- Canada to EU-2727.23 € bn
Arcs represent incoming plus outgoing trade within this three-region triangle, not shares of world exports. The six directions remain separate; no reciprocal flows are combined.
Directed goods exports / € bn. Arrowheads point to the destination; ribbons use the exporter's color.
- EU-27 to U.S.554.61 € bn
- EU-27 to Canada48.74 € bn
- U.S. to EU-27367.41 € bn
- U.S. to Canada297.8 € bn
- Canada to U.S.357.41 € bn
- Canada to EU-2727.23 € bn
Arcs represent incoming plus outgoing trade within this three-region triangle, not shares of world exports. The six directions remain separate; no reciprocal flows are combined.
Follow exporter-colored ribbons toward their arrowheads. The six widths represent directional goods exports within the Atlantic triangle, not bilateral balances or total world exports.
Read within this boundary. DG Trade factsheets combine Eurostat EU reporting and IMF partner reporting in a common currency. Reporter differences are material; the audit chart below makes them visible. Region arcs combine the incoming and outgoing links displayed here. They are not market shares. Services, investment and domestic trade are outside the diagram.
Source European Commission DG Trade · 2025 goods flows / European Commission DG Trade · 2025 goods flows
Source values, definitions & download 6 records
€ bn. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVCanada’s dependence on the U.S. is in a different league.
2025 · goods exports, € billions; shares available on inspection
Absolute goods exports / € bn. Exporters at left; destinations at right.
Every ribbon and node uses the same monetary scale. Destination totals combine these three exporters only. ROW = rest of world. Percentages below use each exporter's own total.
EU-27 exports
2,643.17 € bn
- U.S.20.98%554.61 € bn
- Canada1.84%48.74 € bn
- Rest of world77.17%2,039.82 € bn
Canada exports
493.04 € bn
- U.S.72.49%357.41 € bn
- EU-275.52%27.23 € bn
- Rest of world21.99%108.41 € bn
U.S. exports
1,933.81 € bn
- EU-2719.00%367.41 € bn
- Canada15.40%297.80 € bn
- Rest of world65.60%1,268.59 € bn
Absolute goods exports / € bn. Exporters at top; destinations below.
Every ribbon and node uses the same monetary scale. Destination totals combine these three exporters only. ROW = rest of world. Percentages below use each exporter's own total.
EU-27 exports
2,643.17 € bn
- U.S.20.98%554.61 € bn
- Canada1.84%48.74 € bn
- Rest of world77.17%2,039.82 € bn
Canada exports
493.04 € bn
- U.S.72.49%357.41 € bn
- EU-275.52%27.23 € bn
- Rest of world21.99%108.41 € bn
U.S. exports
1,933.81 € bn
- EU-2719.00%367.41 € bn
- Canada15.40%297.80 € bn
- Rest of world65.60%1,268.59 € bn
Canada sends roughly 72% of its goods exports to the United States. For the EU and the U.S., the corresponding bilateral shares are far smaller. A trading relationship can be large in absolute terms and asymmetric in dependence.
Read within this boundary. Widths represent money, not shares. EU excludes intra-EU trade. Rest of world is the observed residual from exporter totals.
Source European Commission DG Trade · 2025 goods flows / European Commission DG Trade · 2025 goods flows
Source values, definitions & download 9 records
€ bn. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVVolumes and shares do different work. The flow widths retain one common monetary scale, so the small Canadian export system is not silently enlarged to match the others. The printed shares then identify how concentrated each export book is. A large volume describes commercial scale; a large share describes exposure to a destination.
The EU denominator is extra-EU merchandise exports. Trade among members is excluded because the question concerns the bloc's external relationships. US-bound goods represented 21.0% of that extra-EU total. Canada's EU-bound goods represented 5.5% of Canadian exports. Neither percentage includes services or investment.
Concentration is not a direct estimate of the cost of a trade restriction. Substitution possibilities, sector composition, contracts, logistics and the value added retained at home all matter. The aggregate export book identifies an exposure; it does not tell us how quickly a factory can replace a customer.
A shipment can have two official statistical values.
2025 · exporter records and the partner’s import records, € billions
Bilateral goods value · € bn
Open symbol: Exporter. Filled symbol: Importer. Both endpoints retain the country symbol.
Bilateral goods value · € bn
Open symbol: Exporter. Filled symbol: Importer. Both endpoints retain the country symbol.
Trade records differ because of valuation, timing, origin rules, re-exports and statistical systems. The disagreement is a feature of the evidence that deserves to be seen, especially when it is large.
Read within this boundary. These are mirror comparisons, not trade balances or error bars. A discrepancy does not establish misconduct.
Source European Commission DG Trade · 2025 goods flows / European Commission DG Trade · 2025 goods flows
Source values, definitions & download 6 records
€ bn. Displayed up to two decimal places; CSV retains the numerical source precision.
Download this exhibit as CSVEven the value of a single trade direction depends on a reporting perspective. Exporter and importer records can disagree because of valuation, transit, re-exports, partner attribution, timing and revision. The main view keeps exporter reports. The mirror comparison shows the alternative records rather than averaging them into a number that no statistical agency reported.
The common European Commission factsheet snapshot is dated May 20, 2026 and concerns goods trade in 2025. Later revisions may differ. A mirror gap is not a trade balance, an uncertainty interval or evidence of misconduct; it is a reason to keep the reporter and the statistical definition visible.
Changing a holiday destination and changing a production system are different kinds of adjustment. The evidence should say which one it describes.
Research extension / Canada as the persistent specimen
Where does Canada fit?
Institutions, defence, economic structure and AI widen the comparison. A transparent proximity model then tests the temptation to put Canada neatly into one camp.
The preceding comparison deliberately refuses an overall welfare ranking. That refusal does not prevent a different question: which measured profile resembles Canada's? Similarity requires no claim that more spending, a larger state or a lower fertility rate is better. It requires definitions, a reference group, a scale and weights that the reader can inspect.
The result is a near tie. Under the declared baseline, Canada is slightly closer to a constructed typical-EU-member profile than to the United States. That distinction changes under reasonable analytical choices. The useful finding is not a European identity score; it is the pattern of similarities and differences that a continental label conceals.
The extension uses 29 indicators across eight domains and the same 29 sovereign countries: Canada, the United States and the current EU27 members. AI adoption is investigated but excluded from the score because the available national surveys do not measure a common construct. Absolute population and GDP are also excluded so that geographical size cannot dominate resemblance.
The extended comparison
Institutions are more than a democracy label.
A coarse regime category, perceived administrative quality and a recent institutional change answer different questions.
Polity is a reasonable starting point for thinking about political regimes. It is a poor shortcut to a current, finely graded comparison of these societies. The canonical Polity project advertises a common panel through 2018. Inspecting the actual workbook also reveals USA-only observations for 2019 and 2020, rather than a later common-country update. Malta is absent, and 20 of the 28 observed countries in the requested 2018 comparison receive the maximum score.
Canada's 2018 polity2 value is +10 and the US value +8. Those numbers describe a dated, coarse classification. They do not establish the institutional situation in 2024 or 2025. Revision flags matter too: the workbook contains both completed Polity5 revisions and retained PolityIV observations. Extending a country-specific revision into a whole-panel claim would create artificial comparability.
The current baseline instead uses the World Bank's revised Worldwide Governance Indicators. Its six dimensions distinguish voice and accountability, political stability, government effectiveness, regulatory quality, rule of law and control of corruption. The 2025 methodology revision recalculates the historical series and provides both statistical-unit estimates and absolute 0-100 scores. An absolute score is not a percentile rank.
The score uses the six source estimates within one institutional domain. The graphic uses the published absolute scores and their 90% intervals for readability. They are alternative representations of the same source, not twelve independent pieces of evidence. The EU median is a constructed member-country reference; no sovereign EU regime or EU confidence interval is invented.
Six institutional questions give more information than one regime label.
WGI 2024 / 2025 methodology revision / absolute scores, 0–100 / published 90% intervals
Hover or tap a point. Keyboard users can focus the figure and use the arrow keys.
Read all 174 plotted observations
Country points and their published 90% intervals share the same absolute score axis. The EU-median tick is a country summary, not a sovereign EU score or pooled confidence interval. Close point estimates do not establish a significant difference.
SourceWorld Bank Worldwide Governance Indicators, 2025 revision
Method & exact data
WGI 2024 / 2025 methodology revision / absolute scores, 0–100 / published 90% intervals. Country points and their published 90% intervals share the same absolute score axis. The EU-median tick is a country summary, not a sovereign EU score or pooled confidence interval. Close point estimates do not establish a significant difference.
Download published data and definitionsCanada has a higher 2024 point estimate than the United States in all six dimensions, but close values should not become an exact league table. Regulatory quality is particularly close. Only voice and accountability clears the conservative screen of non-overlapping published 90% intervals. The other five interval pairs overlap; overlap does not prove equality, and this is not a formal paired significance test.
The institutional comparison pulls modestly toward the EU-member median in the baseline model. It does not settle the overall question. A six-dimension average combines contrasts that differ in magnitude and direction, while European countries themselves occupy very different positions within each dimension.
V-Dem, Freedom House and International IDEA provide valuable additional lenses. They are not automatically independent corroboration: their underlying information overlaps with WGI, and data editions must not be spliced. IDEA's 2025 evidence is newer than the WGI endpoint, but its numerical reuse terms were not fully resolved in this review. These sources are documented as alternatives, not silently added as extra institutional votes.
The extended comparison
Similar economies can carry different commitments.
Military resources, the composition of jobs and public balance sheets add dimensions that an income ranking cannot supply.
The original military exhibit used the frozen World Bank/SIPRI 2024 series. The newer SIPRI workbook extends through 2025 and revises earlier observations. Keeping the vintages separate is essential: changing a historical value can reflect a source revision rather than a change that happened after the original observation.
In the newer workbook, Canada's 2025 military expenditure is 1.63% of GDP and about US$939 per person. The US figures are 3.12% and US$2,755. The constructed EU27 aggregate is about 2.18% and US$1,023. The EU figures divide sums using denominators recovered consistently from the same workbook's expenditure and ratio pairs, rather than borrowing population or GDP weights from another year.
These are measures of resources absorbed by the military, not readiness, security or military capability. SIPRI includes current and capital expenditure within its definition; NATO concepts and targets are not interchangeable with it. Latest-year observations can reflect adopted budgets and estimates, and the source's country notes remain relevant.
Canada’s defence resources remain below the US on two measures.
SIPRI 2025 / military expenditure as % of GDP and current US$ per person
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Read all 30 plotted observations
Latest-year budget/estimate data, subject to revision. Resource input, not capability. The EU real-spending path sums the fixed 27 members. These source vintages remain separate from the original WDI baseline; NATO definitions and targets are not substituted. Sum the 27 military expenditures. Recover each source-consistent GDP and population denominator from the same workbook expenditure/ratio pairs, then divide sums. No 2024 WDI weights are used for the 2025 aggregate.
Method & exact data
SIPRI 2025 / military expenditure as % of GDP and current US$ per person. Latest-year budget/estimate data, subject to revision. Resource input, not capability. The EU real-spending path sums the fixed 27 members. These source vintages remain separate from the original WDI baseline; NATO definitions and targets are not substituted. Sum the 27 military expenditures. Recover each source-consistent GDP and population denominator from the same workbook expenditure/ratio pairs, then divide sums. No 2024 WDI weights are used for the 2025 aggregate.
Download published data and definitionsThe growth rates differ from the sizes of the military systems.
2019–2025 / constant 2024 US dollars / index, 2019=100
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Read all 21 plotted observations
The EU path sums the fixed 27 members before indexing. A percentage change does not erase differences in initial scale. Latest-year observations can be budget estimates; this newer source vintage does not overwrite the earlier WDI exhibit.
Method & exact data
2019–2025 / constant 2024 US dollars / index, 2019=100. The EU path sums the fixed 27 members before indexing. A percentage change does not erase differences in initial scale. Latest-year observations can be budget estimates; this newer source vintage does not overwrite the earlier WDI exhibit.
Download published data and definitionsThe real-spending trajectories show another distinction. From 2019 to 2025, constant-price military expenditure rose by about 53.9% in Canada, 70.7% in the EU27 sum and 3.1% in the United States. A faster percentage increase does not imply a larger absolute military system: the US begins from a much larger resource base.
Sector composition offers a more immediate North American resemblance. In 2024, industry accounted for 18.93% of Canadian employment and 19.04% of US employment; services accounted for 79.94% and 79.39%. These are ILO modeled job shares, not national-accounts output shares. The ternary view keeps the complete agriculture-industry-services composition rather than combining unlike denominators.
Canada and the US occupy almost the same employment-composition corner.
2024 / agriculture, industry and services / percentage shares of employment
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Read all 29 plotted observations
ILO modeled employment shares from WDI. Agriculture, industry and services exhaust the source classification; sectors describe jobs, not value added or individual productivity. Published rounding can create a very small sum discrepancy. The outlined services corner is enlarged without moving any country. The geometry normalizes the three published shares by their sum only to absorb rounding differences below 0.001 percentage points; the CSV preserves the original values.
Method & exact data
2024 / agriculture, industry and services / percentage shares of employment. ILO modeled employment shares from WDI. Agriculture, industry and services exhaust the source classification; sectors describe jobs, not value added or individual productivity. Published rounding can create a very small sum discrepancy. The outlined services corner is enlarged without moving any country. The geometry normalizes the three published shares by their sum only to absorb rounding differences below 0.001 percentage points; the CSV preserves the original values.
Download published data and definitionsThe proximity panel also adds trade openness, general-government gross debt, female labour participation, unemployment and internet use. These variables are not all independent. Trade equals exports plus imports; adding all three as separate criteria would create extra votes for one accounting relationship. Public revenue and the fiscal balance are similarly not appended as independent votes beside spending simply because the source supplies them.
Employment structure and value-added structure remain different measures. Industry includes construction, mining and utilities as well as manufacturing. For services value added, the latest year common to all 29 countries is 2021, whereas the job composition is available in 2024. Those dates remain visible instead of being cosmetically aligned.
Internet use is a genuinely comparable digital-access indicator in the selected World Bank/ITU series. It is not a measure of enterprise AI use, the quality of digital skills or the productivity of technology adoption. The broader ITU connectivity composite was reviewed but not counted again alongside its overlapping internet component.
The extended comparison
Three AI percentages do not make one ranking.
The survey question, business population and time window are part of the measurement.
Published AI-use observations are available for all three comparators. Availability is not the same as harmonization. Eurostat reports 19.95% for its 2025 population of enterprises with at least ten employees and self-employed persons in specified activities. Statistics Canada reports 19.2% in its second-quarter 2026 survey of employee establishments. The latest retained US Census BTOS observation reports 23.2% for the period ending 6 September 2026.
Eurostat asks about specified AI technologies and generally the current situation during the survey. Canada asks about using AI to produce goods or deliver services during the preceding twelve months. The US asks about AI in any business function during the preceding two weeks. These distinctions affect who enters the numerator, who enters the denominator and what period the observation covers.
The US series also has an explicit wording break. Collection beginning 17 November 2025 broadened the core question from producing goods or services to any business function. A business using AI in hiring or accounting may answer the broader question differently without changing its behavior. That discontinuity cannot be read as a pure technology-adoption jump.
Keep the AI observations. Reject the false league table.
Separately defined national survey estimates / each source’s own population and reference period
Canada
19.2%Q2 2026; previous 12 months; fieldwork 1 April-6 May 2026
- Who is counted?
- Canadian Survey on Business Conditions: business establishments with employees
- What is use?
- Reported AI use to produce goods or deliver services during the previous 12 months.
- Scoring decision
- Excluded: Different business unit, sectors, AI-use concept and reference window from Eurostat and the current BTOS.
United States
23.2%Period ending 6 September 2026; previous 2 weeks
- Who is counted?
- BTOS in-scope nonfarm employer businesses; source exclusions apply
- What is use?
- AI use in any business function. This broader wording began with collection on 17 November 2025.
- Scoring decision
- Excluded: Different population, two-week window and broader question, with a questionnaire break in November 2025.
European Union
19.95%2025 survey
- Who is counted?
- Enterprises with 10+ employees and self-employed persons; covered NACE C-J, L-N and group 95.1
- What is use?
- Using at least one of the specified Eurostat AI technologies; current situation in the survey period.
- Scoring decision
- Excluded: Statistical unit, size threshold, sectors, question and reference period are not harmonized with the Canadian and US surveys.
These are separately defined descriptive observations, not a harmonized international ranking. All are excluded from the proximity score. Canadian figures are adapted from Statistics Canada; this does not constitute endorsement of this product.
Method & exact data
Separately defined national survey estimates / each source’s own population and reference period. These are separately defined descriptive observations, not a harmonized international ranking. All are excluded from the proximity score. Canadian figures are adapted from Statistics Canada; this does not constitute endorsement of this product.
Download published data and definitionsA within-source comparison is more defensible. Canada's reported production/service use rose from 12.2% in the second quarter of 2025 to 19.2% in the same quarter of 2026, a seven-percentage-point increase. These are repeated survey estimates, not observations of an identical panel of establishments or a causal estimate of an AI policy.
Use also differs sharply by business activity. The Canadian 2026 release reports 42.3% in information and cultural industries, 40.4% in finance and insurance, and 32.4% in professional, scientific and technical services. It reports 4.5% in agriculture, forestry, fishing and hunting, 7.9% in wholesale trade and 9.2% in construction. A national percentage averages over this industrial composition.
Expectations remain a different evidence category. Census reports 27.3% expected use over the next six months at the September 2026 observation; the separately verified Canadian planned-use figure is 14.5% for the next twelve months from the third-quarter 2025 survey. The latter is not labeled Canada's latest 2026 expectation. Neither is substituted for realized adoption.
All of these AI observations stay outside the similarity score. That exclusion is a substantive result of the research, not missing-data concealment. The harmonized slot is unavailable, not zero; the descriptive evidence remains visible with its own definitions.
Research instrument / inspect the relationships
The Relationship Atlas
Which differences travel together? Select a cell, meet the countries behind it, then follow the relationship through the observed years.
The annual panel fixes one 24-variable set shared by every year from 2019 through 2023. PISA, services output and renewables are excluded because later complete years are unavailable. Each coefficient compares 29 countries: Canada, the US and 27 EU members.
Reduced motion: use the year stepper. The country and variable sets remain fixed.
One matrix column at a time: Health spending. Choose the horizontal variable above to explore another column.
24 variables; 276 distinct pairs. The diagonal compares each variable with itself. A blank crossed cell is undefined, not zero.
Open the cell / inspect the observations
Health spending
& Life expectancy
Matched observations / 2023 · 29 countries · rank association
Descriptive, not causal
Canada: 7,355.36 current international dollars; 81.63 years at birth. Included in this coefficient. Axes remain fixed across this panel’s years; country focus does not alter the sample.
Twenty-seven of the 29 countries are EU members. This is the selected transatlantic comparison, not a representative global sample. A shared trend, an outlier or overlapping source construction can create association without identifying a mechanism.
Definitions and measurement limits for this pair
Health expenditure per person
PPP-adjusted current expenditure, not inflation-adjusted spending growth. Distinct from constant-price GDP per person.
Life expectancy
Period life expectancy; not the realized lifespan of a newborn or a causal health-system efficiency measure.
Coefficients use the reported point estimates. Source measurement and sampling uncertainty are not converted into a joint correlation confidence interval.
Read the selected country observations
Read all 276 distinct correlation pairs
Why the variable set changes between panels
The full profile keeps each indicator’s declared latest common year. Annual panels instead fix both the countries and the variables across the chosen window. PISA is not annual, and incompatible AI adoption surveys are excluded. Missing recent observations are never filled by an earlier year or zero.
Spearman uses average ranks for ties; Pearson uses the raw levels. All coefficients are descriptive. A yearly frame compares countries in that year; it does not estimate a time-series correlation from five or six observations. Undefined coefficients stay undefined. No significance stars or causal claims are inferred from this exploratory matrix.
The extended comparison
Canada sits near the seam.
The Atlantic Seam makes the choices visible: keep the country observations fixed and move the emphasis.
The Atlantic Seam
56 analytical weight-transfer paths / the same country observations / published baseline pinned
A country held in the balance
How little moves
the verdict?
The country stays the same. Move the emphasis between two domains and follow Canada’s red thread across the dividing line.
56 available paths · 8 domains · the same 29 indicators
Drag the red knot along the selected thread. Hover another thread to inspect it; click to choose it.
One trajectory at a time. Drag the red knot, or use the slider below.
Moving that share of total weight from health & financing to climate & energy reaches equal distance. It is a change to the analytical rule, not to Canadian outcomes.
The nearest crossings from this start
What this instrument changes
A donor can give up to half its starting weight; a recipient can at most double its weight, within the model’s multiplier limit. Other effective weights remain fixed. These paths are analytical choices, not forecasts, confidence bands or flows of people and money.
Read the model and its limits →Open the thread Underlying indicators, values and sources
Health & financing: the observations do not move.
Symbols use the observed-country-range normalization from 0 to 1. The figures underneath retain their source units. Changing emphasis does not change any of these measurements.
Life expectancy
2024years at birth
- Canada
- 82.11
- US
- 78.89
- EU profile
- 81.97
Period life expectancy; not the realized lifespan of a newborn or a causal health-system efficiency measure.
Under-five mortality
2024per 1,000 live births
- Canada
- 5.4
- US
- 6.5
- EU profile
- 3.7
Official model-based mortality probability; not a cohort death count. Infant mortality is excluded to reduce duplication.
Health expenditure per person
2023current international dollars
- Canada
- 7,355.36
- US
- 13,473.19
- EU profile
- 4,865.98
PPP-adjusted current expenditure, not inflation-adjusted spending growth. Distinct from constant-price GDP per person.
Out-of-pocket financing
2023% of current health expenditure
- Canada
- 15.2
- US
- 10.93
- EU profile
- 17.94
Financing mix, not the share of household income paid for care or a measure of unmet need.
Read every route and its exact boundary
Horizontal position is reallocated analytical weight, in percentage points of the total. Vertical position is the relative proximity index, with 50 denoting equal distance. Paths are deterministic model choices, not confidence intervals or predictions of changes in Canadian outcomes.
SourceAuthor calculations from the frozen 29-country proximity panel
Method & exact data
56 analytical weight-transfer paths / the same country observations / published baseline pinned. Horizontal position is reallocated analytical weight, in percentage points of the total. Vertical position is the relative proximity index, with 50 denoting equal distance. Paths are deterministic model choices, not confidence intervals or predictions of changes in Canadian outcomes.
Download published data / baseline modelThe Atlantic Seam turns the weighting question into a direct experiment. At the published baseline, moving about 2.34 percentage points of total weight from health and financing to climate and energy reaches equal distance. Both domains begin at 12.5%; their weights become about 10.16% and 14.84%, while the other six remain fixed. A three-point transfer moves the index to 49.66. These are changes to the analytical rule, not changes in Canadian health, emissions or society.
The baseline is a numeric Gower-style distance. Each indicator is placed on the observed range of the fixed 29-country comparison, from zero to one. Absolute differences are averaged within each domain, then the eight domain distances receive equal weight. No direction is marked good or bad. A higher fertility rate, a larger military budget or more government expenditure simply describes another position.
Europe needs a definition before a distance can be calculated. The default is the coordinate-wise median of the current 27 member countries. This describes a constructed typical-member profile, not an official EU aggregate and not an actual country. The interface also offers the equal-member mean and a population-weighted profile, while the neighbor view retains all 27 national comparisons.
The resulting index is 100 times Canada's distance from the US divided by the sum of its distances from the US and EU profile. Fifty denotes equal distance. The baseline result is 51.2: a small lean toward the EU-member median, not a decisive classification. The unscaled distances are 0.223 to the US and 0.213 to the EU profile.
The underlying pattern is more informative. Production and innovative capacity, health, and demography pull toward the typical EU profile. Climate and energy, together with the selected learning outcomes, pull toward the US. Economic structure is nearly balanced. The institutional domain favors the EU reference only modestly and cannot turn this mixture into a categorical identity.
Inspect the assumptions
Choose what “close” means.
These controls define the starting model for the seam. Changing a model choice retains your current multipliers and starts a new, zero-transfer path. Figure downloads retain the published baseline; “Download selected model” exports the exact current calculation, including any transfer.
Change the emphasis of the eight domains
A multiplier of zero omits the domain; one keeps its default emphasis. Weights are renormalized across the remaining domains.
The EU profile is a reference point, not the whole of Europe.
29 indicators / 8 domains / two exact distances
Hover or tap a country, use the figure arrow keys, or select a neighbor below.
Read both distances for all 29 countries
This is a map of two calculated distances, not physical geography, a PCA projection or a causal model. Nearby points on this page are not necessarily close in every underlying dimension.
SourceAuthor calculations from the frozen, source-linked 29-country panel
Method & exact data
29 indicators / 8 domains / two exact distances. This is a map of two calculated distances, not physical geography, a PCA projection or a causal model. Nearby points on this page are not necessarily close in every underlying dimension.
Download published data / baseline modelA country comparison can be more informative than a continental label.
Distance from Canada / all 27 EU members and the United States / lower is closer
The reference universe is fixed before estimation. The UK, Australia and other plausible peers are outside this particular US-versus-EU question; their absence is not evidence that they are less similar.
SourceAuthor calculations from the frozen, source-linked 29-country panel
Method & exact data
Distance from Canada / all 27 EU members and the United States / lower is closer. The reference universe is fixed before estimation. The UK, Australia and other plausible peers are outside this particular US-versus-EU question; their absence is not evidence that they are less similar.
Download published data / baseline modelDifferent parts of the Canadian profile pull in different directions.
Absolute-distance gap decomposition / positive favors proximity to EU profile
Hover or tap a domain row. Keyboard users can focus the figure and use the arrow keys.
Read the eight domain contributions
Contributions add to the distance gap under L1, or the squared-distance gap under L2. Zero weight removes a domain from the selected scenario. This is a decomposition of the index, not a causal attribution.
SourceAuthor calculations from the frozen, source-linked 29-country panel
Method & exact data
Absolute-distance gap decomposition / positive favors proximity to EU profile. Contributions add to the distance gap under L1, or the squared-distance gap under L2. Zero weight removes a domain from the selected scenario. This is a decomposition of the index, not a causal attribution.
Download published data / baseline modelThe synthetic EU profile should not erase Europe. Austria, Belgium, the Netherlands and Germany are individually closer to Canada than the United States under the baseline; the other 23 EU members are not. A continental median can be near Canada even though most of its member countries are farther away. Those statements are compatible because the median profile is not any one member.
The method choice is consequential. Across the 24 declared combinations of range or percentile normalization, L1 or Euclidean distance, three EU reference profiles and two weighting conventions, the index ranges from 48.9 to 54.9. Percentile normalization alone moves the baseline to 48.9, slightly toward the US. No result in this set establishes a wide separation from the midpoint.
The slight baseline lean does not survive every reasonable choice.
24 prespecified model combinations / sorted proximity scores / 50 means equal distance
Hover or tap a point. Focus the figure and use the arrow keys to inspect the same choices without a pointer.
Separately, 512 bounded domain-weight scenarios range from 44.9 to 56.6. Each multiplier varies from 0.5 to 2.0. These choices are not draws from a population, and their frequency is not a probability.
Read all 24 model specifications
The curve varies normalization, distance, EU reference and domain-versus-indicator weighting. Its range is researcher-choice sensitivity, not a confidence interval or probability distribution. The separate bounded-weight exercise contains 512 declared scenarios.
SourceDeterministic sensitivity analysis of the frozen country panel
Method & exact data
24 prespecified model combinations / sorted proximity scores / 50 means equal distance. The curve varies normalization, distance, EU reference and domain-versus-indicator weighting. Its range is researcher-choice sensitivity, not a confidence interval or probability distribution. The separate bounded-weight exercise contains 512 declared scenarios.
Download published data / all specificationsDomain emphasis matters more. Across 512 deterministic scenarios in which each domain multiplier lies between 0.5 and 2, the range is 44.9 to 56.6. This is not a confidence interval and the share of scenarios on either side is not a probability. It is a map of researcher choices within a stated box.
Omitting one indicator at a time produces a wider range, 44.7 to 58.7. That is a useful warning about the leverage of individual measures and the cardinal distances implied by normalization. Removing an inconvenient indicator would be a way to manufacture a headline; showing the omission range makes that maneuver visible.
On the matched 26-indicator subset that excludes the unavailable 2019 learning assessment, the index is 52.8 in 2019 and 53.6 in the recent comparison. The small movement should not be oversold: ranges are normalized within each period, so this compares relative profiles rather than estimating an absolute institutional trajectory.
The truth contract of the score
Reproduce the comparison. Keep its limits attached.
Baseline: 29 indicators, eight equal domains, the fixed 29-country universe, and a coordinate-wise EU27 member median. Each indicator uses one common year for every country. The latest available common years are 2021, 2023 and 2024, with the separately labeled PISA 2025 survey domain. This is a mixed-year comparison, not an invented all-current snapshot.
Numeric Gower distance uses the observed country range to put each measure on a zero-to-one scale. Absolute normalized differences are averaged within domains, then domains receive equal weight. The EU proximity index is 100 × d(Canada,US) / [d(Canada,US) + d(Canada,EU)]. No good/bad polarity is assigned. Gower’s general similarity framework and the OECD/JRC guidance on composite indicators motivate explicit normalization, weighting and sensitivity rather than hidden aggregation.
EU reference coordinates are formed after normalization. Under the percentile alternative, a member mean is therefore a mean of member percentile positions, not the percentile rank of a mean raw value. Published raw summaries and normalized comparison coordinates remain separate in the selected-model export.
Equal-domain weights are an editorial choice, not an estimated social preference. They stop six governance variables from automatically counting six times as much as one health variable, but they do not remove conceptual correlation. The normalization universe is mostly European by construction; the percentile alternative makes that choice particularly visible.
Measurement uncertainty remains distinct from these choice exercises. WGI publishes uncertainty around its institutional estimates; PISA publishes sampling uncertainty around country means. A joint covariance structure for all countries and indicators is not available here, so the analysis does not manufacture a statistical confidence interval for the final proximity index.
The 512 weight scenarios use a fixed low-discrepancy sequence with each domain multiplier between 0.5 and 2.0. No random seed, fitted probability model or sampling distribution is implied. Leave-one-domain and leave-one-indicator results expose influence. A covariance-based Mahalanobis model was rejected as the baseline because 29 variables with 29 countries make an unregularized covariance geometry unstable; a two-dimensional PCA picture would not preserve all distances.
Included indicators, years and source definitions
What was excluded, and why
- Enterprise AI adoption. National survey universes, definitions and reference windows must be harmonized before direct scoring. The comparison audit is shown separately.
- Manufacturing value added. No common 2020-2024 observation for all 29 countries in the frozen source; Bulgaria is missing. Do not omit a member to improve coverage.
- Tertiary attainment. The existing three-bloc age25-34 comparison does not contain all 27 members; the older WDI25-plus series lacks a complete common year.
- Public education expenditure. The declared 2020-2024 window has no complete 29-country year; an EU median of26 reporting members is not a substitute for the missing country.
- Population and total GDP. Deliberately excluded: the score describes structure and institutions, not similarity of geographic size.
- Revenue, deficit, imports and exports as additional votes. Avoid re-entering accounting identities beside expenditure and total trade openness. They remain available as contextual evidence.
Correlated inputs are not independent votes
These selected Spearman correlations exceed an absolute 0.8 within the 29-country panel. They are descriptive diagnostics, not tests of independence or a reason to choose whichever exclusion changes the headline.
- Regulatory quality / Control of corruption: 0.97 (same domain)
- Voice and accountability / Rule of law: 0.96 (same domain)
- Regulatory quality / Rule of law: 0.95 (same domain)
- Government effectiveness / Control of corruption: 0.95 (same domain)
- Rule of law / Control of corruption: 0.95 (same domain)
- Government effectiveness / Regulatory quality: 0.95 (same domain)
- Output per person / Health expenditure per person: 0.94 (different domains)
- Government effectiveness / Rule of law: 0.94 (same domain)
- Voice and accountability / Control of corruption: 0.93 (same domain)
- PISA science / PISA reading: 0.91 (same domain)
- Voice and accountability / Regulatory quality: 0.91 (same domain)
- Voice and accountability / Government effectiveness: 0.91 (same domain)
- PISA science / PISA mathematics: 0.84 (same domain)
- Health expenditure per person / Government effectiveness: 0.81 (different domains)
The complete evidence ZIP also contains a dependency-free reproduction: from its extension directory, run node reproduce/run.mjs. It reads the exact packaged input data and reproduces the baseline, domain contributions, nearest countries and sensitivity ranges without downloading anything.
Sources for the extension
Sources, versions and boundaries
- Output per person
- Fixed investment
- Research and development
- Internet use
- Industry employment
- Services value added
- Trade openness
- General-government expenditure
- General-government gross debt
- Military expenditure
- Life expectancy
- Under-five mortality
- Health expenditure per person
- Out-of-pocket financing
- Population aged 65+
- Total fertility rate
- Female labour participation
- Unemployment rate
- Territorial CO₂ per person
- Renewable final energy
- PISA mathematics
- Control of corruption
- SIPRI Military Expenditure Database 1949-2025 v1.2
- Gower (1971), A General Coefficient of Similarity and Some of Its Properties
- OECD/JRC Handbook on Constructing Composite Indicators
- Enterprises using AI technologies, 2025
- Analysis on artificial intelligence use by businesses, Q2 2026
- Analysis on artificial intelligence use by businesses, Q2 2025
- Expected use of artificial intelligence by businesses, Q3 2025
- BTOS national AI use and expectations series
- BTOS official application methodology text
- Polity project / Center for Systemic Peace
All raw source versions and transformations are hash-bound. Polity’s full resources, the unresolved IDEA numerical extract and complete third-party reports are not included in the public evidence package. No new source was selected because it made Canada look more American or more European.
The implication
Not one winner.
Better questions.
The comparison does not end with a winner because the measures did not ask one common question. America's resource advantage invites a harder examination of social outcomes. Europe's aggregate invites scrutiny of internal differences and the capacity to sustain future investment. Canada's position invites scrutiny of per-person growth and the concentration of commercial relationships.
For policy, the useful next step is to name the outcome, choose the denominator and identify the evidence that could distinguish competing explanations. A spending ratio can start that inquiry. A historical path can constrain it. A country ranking cannot complete it.
Carry a comparison away, but keep its boundary attached. The strongest version of the good life is not the one that wins the most columns. It is the one whose claims survive the change from a national story to the people, institutions and dependencies that story is meant to describe.
The audit stays attached
What this comparison can carry.
A frozen evidence snapshot collected on September 17, 2026. Each exhibit retains its own source, reference period, units and limitations.
Observed and derived
Frozen official historical series and deterministic transformations. IMF historical entries can include staff estimates; mortality indicators include official modeled estimates. No forecasts or policy scenarios are presented as outcomes.
Different common years
Most annual series end in 2024. The joint health comparison and R&D end in 2023; public education spending uses 2021; PISA and merchandise trade use 2025. There is no all-current synthetic year.
An indicator-specific Europe
Fixed EU27 membership. Published WDI aggregates where defensible; GDP-weighted national-government expenditure; a 26-member median for education spending; individual countries, never a fabricated student aggregate, for PISA.
No causal tournament
Country differences do not identify the effects of spending, immigration, regulation or institutional models. Alternative explanations and unobserved composition remain beside the affected claims.
Different distributions
Country dispersion is not household dispersion. PISA percentile ranges describe students; confidence intervals describe uncertainty around means. The two are not interchangeable.
A partial account of the good life
Median consumption, wealth, leisure, housing affordability, access, subjective well-being, services trade and causal institutional effects are outside the harmonized evidence here. They are unavailable for this comparison, not zero.
How to reproduce the reading
Every plot comes from the frozen source observations. The recovery series sets each country's 2019 output per person to 100. Economic-size squares use square-root scaling; R&D ranks use unrounded shares. The map colors country membership, not population density. Age-composition cells represent percentage points, with an exact under-65 complement and fractional cells.
Germany, France, Sweden, Poland and Spain add context to health and child mortality from the same frozen World Bank extracts. They are inside the EU aggregate, not an independent control group. The PISA subject profiles retain all 87 supplied confidence limits. The chord preserves exporter direction; its arcs are not world trade shares. Full source precision stays in the downloads, while visible labels use at most two decimals.
Country distributions are unweighted collections of named countries. Official EU totals and averages are not replaced with a universal mean. The complete method document records source vintage, aggregation, price bases, mortality estimation, survey qualifications and trade reporting differences.
Evidence edition: 17 September 2026 / Native revision: atlantic-r6. The 39 numbered exhibits and their anchors remain intact. Three linked instruments add the metric spotlight, Rank Weave and Relationship Atlas; the Atlantic Seam retains its exact weight-transfer paths. The source observations are unchanged. CSVs remain available with their methods. Earlier carousel and social files are not presented as revised versions of this website.
Primary evidence
Source register
Publisher links identify the underlying series and reports. The article uses the frozen package snapshot rather than silently replacing it with later observations. Source-specific rights remain in force; there is no blanket license covering the mixed World Bank, IMF and national-agency material.
- World Bank WDI · SP.POP.TOTL
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- Natural Earth · 1:110m country boundaries (public domain)
Attribution & reuse
Natural Earth. Public domain
Generalized geographic orientation only. https://www.naturalearthdata.com/about/terms-of-use/
- World Bank WDI · NY.GDP.MKTP.CD
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · NY.GDP.PCAP.PP.KD
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · NY.GDP.MKTP.KD.ZG
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · NY.GDP.PCAP.KD.ZG
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · NE.GDI.FTOT.ZS
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · GB.XPD.RSDV.GD.ZS
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · NE.CON.GOVT.ZS
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · MS.MIL.XPND.GD.ZS
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- IMF Fiscal Monitor · G_X_G01_GDP_PT
Attribution & reuse
International Monetary Fund. IMF copyright and usage terms; official numerical extract with attribution.
Author calculations use frozen numerical series. No IMF endorsement. Historical values may include IMF staff estimates.
- IMF WEO nominal GDP used to weight EU27 fiscal ratios
Attribution & reuse
International Monetary Fund. IMF copyright and usage terms; official numerical extract with attribution.
Author calculations use frozen numerical series. No IMF endorsement. Historical values may include IMF staff estimates.
- IMF Fiscal Monitor methodological and statistical appendix
Attribution & reuse
International Monetary Fund. IMF copyright and usage terms; official numerical extract with attribution.
Author calculations use frozen numerical series. No IMF endorsement. Historical values may include IMF staff estimates.
- World Bank WDI · SH.XPD.CHEX.PP.CD
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · SP.DYN.LE00.IN
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · SP.DYN.LE00.MA.IN
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · SP.DYN.LE00.FE.IN
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · SH.DYN.MORT
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · SH.XPD.GHED.CH.ZS
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · SH.XPD.OOPC.CH.ZS
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · SE.XPD.TOTL.GD.ZS
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- OECD PISA 2025 · CMEC official report, tables B.1.2 / B.3.3–5
Attribution & reuse
Council of Ministers of Education, Canada; OECD PISA. ©2026 Council of Ministers of Education, Canada; no blanket redistribution licence asserted.
Published numerical summaries extracted from B.1.2, B.3.3, B.3.4 (means) and B.1.5, B.3.5, B.3.6 (percentiles). Full report is obtained from this official URL using the acquisition manifest; the public package contains numerical extracts and extraction code.
- Eurostat EDAT_LFSE_03
Attribution & reuse
European Commission / Eurostat. EU reuse policy: CC BY 4.0 for EU-owned content unless otherwise indicated; third-party rights remain.
Attributed numerical extract or paraphrased policy fact. https://commission.europa.eu/legal-notice_en
- Statistics Canada Table37-10-0130-01; Labour Force Survey
Attribution & reuse
Statistics Canada. Statistics Canada Open Licence
Adapted from Statistics Canada, Table37-10-0130-01, 2024. This does not constitute an endorsement by Statistics Canada of this product. https://www.statcan.gc.ca/en/terms-conditions/open-licence
- US Census Bureau CPS2024 Table1; calculation from age25–29 and30–34 counts
Attribution & reuse
United States Census Bureau. US federal government statistical work; source attribution retained.
Original published counts retained; author calculated age25–34 associate-or-higher share. No endorsement.
- World Bank WDI · SP.POP.65UP.TO.ZS
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · SP.DYN.TFRT.IN
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- World Bank WDI · EN.GHG.CO2.PC.CE.AR5
Attribution & reuse
World Bank, World Development Indicators; upstream providers named in indicator metadata. World Bank open-data terms; CC BY 4.0 default for World Bank-produced data, with third-party exceptions.
Frozen public API numerical extract; indicator definitions and upstream attribution retained. https://datacatalog.worldbank.org/public-licenses
- European Commission DG Trade · 2025 goods flows
Attribution & reuse
European Commission DG Trade. EU reuse policy: CC BY 4.0 for EU-owned content unless otherwise indicated; third-party rights remain.
Attributed numerical extract or paraphrased policy fact. https://commission.europa.eu/legal-notice_en
- European Commission DG Trade · 2025 goods flows
Attribution & reuse
European Commission DG Trade. EU reuse policy: CC BY 4.0 for EU-owned content unless otherwise indicated; third-party rights remain.
Attributed numerical extract or paraphrased policy fact. https://commission.europa.eu/legal-notice_en