GDP & Tech
Is Europe really sliding into a middle-tier economy? A widely-shared gap between the US and EU27 deserves some unpacking — once you adjust for exchange rates and price levels, the picture changes.
Since 2008, an $11 trillion nominal GDP gap emerged
Gross domestic product, current prices (US$), nominal. The EU27 went from roughly level with the US to trillions behind — but in nominal dollar terms.
Comparing EU27 and US economies: nominal, FX-adjusted, and PPP
The same two economies look very different depending on how you measure them. Currency swings and price levels drive most of the headline gap.
01Nominal GDP, current US$
The EU27 line is converted to US$ at a fluctuating exchange rate. Useful for comparing position on the global stage.
02Nominal GDP, constant '08 FX
Using a fixed 2008 exchange rate removes distortions from currency moves, but not price-level differences between countries.
03PPP-adjusted GDP
PPP accounts for cost-of-living differences and is useful for comparing real purchasing power. Healthcare is a big item, for instance.
Source: Dealroom.co analysis based on World Bank Open Data (GDP current US$, GDP PPP, and the Euro-area official exchange rate). EU27 is the World Bank "European Union" aggregate. The constant-'08-FX series re-prices EU27 output at the fixed 2008 EUR/USD rate, isolating real growth from the euro's depreciation. PPP figures use a common basket of goods to compare price levels across economies.
Nominal GDP and government debt, current rates
GDP (solid) versus general-government gross debt (dashed) in current US$. The shaded area is the gap between output and debt — for several large economies, debt has caught up with, or overtaken, annual GDP.
Source: Dealroom.co analysis based on the IMF World Economic Outlook
(NGDPD, GDP in current US$; GGXWDG_NGDP, general-government gross debt as % of GDP). Debt in US$ is derived as GDP × debt-to-GDP ÷ 100.
EU27 and Euro-area figures are the IMF's official aggregates. Toggle the region pills to rebuild the comparison.
Population trend since 2008 — total and working age
Indexed to 2008 = 100. Total population (solid) versus the working-age cohort, ages 15–64 (dashed). Europe's working-age population has been shrinking even as its headcount holds roughly flat.
Source: Dealroom.co analysis based on World Bank Open Data
(SP.POP.TOTL, total population; SP.POP.1564.TO, population ages 15–64). Each series is indexed to its 2008 level (=100); end-of-line labels show the average annual growth rate over the period.
Productivity — GDP per hour worked
Output produced per hour worked, in current US dollars converted at purchasing-power parity. This is the cleanest cross-country comparison of how productively each economy turns labour into output — the US and the largest European economies sit near the top; Japan and Korea have closed much of the gap from a far lower base.
Source: Dealroom.co analysis based on the OECD Productivity database
(GDPHRS, GDP per hour worked; USD_PPP_H, US dollars converted at PPP; current prices). China, India and the Euro area are not members of the OECD productivity database, so they are not shown. Toggle the region pills to rebuild the comparison.
How this is built
- Every chart is pulled live from a public API (no manual updates — each refreshes as the source revises): GDP gap via
/api/worldbank-gdp, GDP vs debt via/api/imf-gdp-debt, population via/api/worldbank-population, productivity via/api/oecd-productivity. - Nominal & PPP GDP:
NY.GDP.MKTP.CDandNY.GDP.MKTP.PP.CD; Euro-area FX:PA.NUS.FCRF. - Constant-'08-FX EU27 = nominal US$ × fx(year) ÷ fx(2008) — the same real series, held at one exchange rate.
- GDP vs debt: IMF WEO
NGDPDandGGXWDG_NGDP; debt US$ = GDP × debt-to-GDP ÷ 100. Population: World BankSP.POP.TOTLandSP.POP.1564.TO, indexed to 2008 = 100. - Productivity: OECD Productivity database
GDPHRS(GDP per hour worked) inUSD_PPP_H— current prices, US$ at PPP — the comparable cross-country level series.
Where does the growth actually come from?
The full Dealroom platform tracks the companies, investment and innovation behind the numbers — across every European ecosystem.