2026-04-22 01:48:00
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Education spending per student varies widely across countries, reflecting differences in national priorities and resources.
At the top of the ranking, Luxembourg stands alone, spending far more per student than any other country. Beyond this upper tier, spending levels diverge quickly across both advanced and emerging economies.
This chart ranks countries by annual education spending per student, using PPP-adjusted data from the OECD’s Education at a Glance 2025.
These differences influence everything from class sizes and teacher pay to access to technology and higher education outcomes.
Luxembourg stands far above all peers, spending over $31,000 per student, nearly $9,000 more than second-place Norway and several times higher than lower-ranked countries. The country also leads in teacher salaries.
| Rank | Country | Expenditure per student (in USD PPP) |
|---|---|---|
| 1 |
Luxembourg |
31,439 |
| 2 |
Norway |
22,558 |
| 3 |
Austria |
20,942 |
| 4 |
United States |
20,387 |
| 5 |
South Korea |
19,805 |
| 6 |
Denmark |
19,229 |
| 7 |
Netherlands |
19,186 |
| 8 |
United Kingdom |
19,072 |
| 9 |
Belgium |
19,024 |
| 10 |
Canada |
18,733 |
| 11 |
Iceland |
18,707 |
| 12 |
Germany |
17,960 |
| 13 |
Sweden |
17,804 |
| 14 |
Australia |
17,529 |
| 15 |
Ireland |
15,915 |
| 16 |
France |
15,427 |
| 17 |
OECD average |
15,023 |
| 18 |
Finland |
15,000 |
| 19 |
Slovenia |
14,454 |
| 20 |
Japan |
14,130 |
| 21 |
Italy |
13,750 |
| 22 |
Spain |
13,385 |
| 23 |
Portugal |
12,956 |
| 24 |
Israel |
12,877 |
| 25 |
Czechia |
12,844 |
| 26 |
New Zealand |
12,389 |
| 27 |
Estonia |
12,362 |
| 28 |
Poland |
11,488 |
| 29 |
Lithuania |
11,313 |
| 30 |
Slovakia |
11,259 |
| 31 |
Hungary |
10,097 |
| 32 |
Latvia |
9,204 |
| 33 |
Croatia |
9,033 |
| 34 |
Bulgaria |
8,703 |
| 35 |
Chile |
8,068 |
| 36 |
Romania |
7,221 |
| 37 |
Greece |
7,137 |
| 38 |
Türkiye |
5,305 |
| 39 |
China |
5,161 |
| 40 |
South Africa |
4,395 |
| 41 |
Mexico |
4,066 |
| 42 |
Peru |
2,612 |
| -- | OECD Average | 15,022 |
The U.S. and several Western European countries also rank near the top, typically spending between $18,000 and $21,000. These high levels reflect both strong public funding and the higher costs of education systems.
Canada and the United Kingdom also fall within this upper tier, underscoring consistent investment across advanced economies.
While the OECD average is about $15,000 per student, most countries fall far from this midpoint, clustering either well above it in Western Europe and North America or far below it in emerging economies.
Countries like Japan, Italy, and Spain fall below the average despite being advanced economies. Meanwhile, emerging European economies such as Poland and Hungary spend closer to $10,000–$11,000.
Outside the OECD’s highest spenders, education investment drops off rapidly.
Türkiye and China spend just over $5,000 per student, while Mexico and South Africa are closer to $4,000. Peru sits at the bottom of the ranking at roughly $2,600 per student.
If you enjoyed today’s post, check out Comparing Education Levels Across 45 Countries on Voronoi, the new app from Visual Capitalist.
2026-04-22 00:28:26
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For leading AI companies, the biggest expense is not talent. It is compute.
This chart from Visual Capitalist’s AI Week, sponsored by Terzo, uses Epoch AI data to compare spending at Anthropic, Minimax, and Z.ai across R&D compute, inference compute, and staff plus other costs.
In every case, compute accounts for the majority of total spending, underscoring how capital-intensive it has become to build and serve frontier AI models.
Despite differences in scale, all three companies allocate the largest share of their budgets to a single category: compute.
The data below compares spending composition across Anthropic, Minimax, and Z.ai. Anthropic’s figures are for 2025, while Minimax’s are from Q1 to Q3 of 2025 and Z.ai’s are for H1 2025.
| Costs Category | Anthropic | Minimax | Z.ai |
|---|---|---|---|
| R&D Compute (Billions, USD) | 4.10 | 0.14 | 0.18 |
| Inference Compute (Billions, USD) | 2.70 | 0.04 | 0.01 |
| Staff and Other (Billions, USD) | 2.90 | 0.14 | 0.12 |
| Total (Billions, USD) | 9.70 | 0.32 | 0.31 |
| R&D Compute Share | 42% | 44% | 58% |
| Inference Compute Share | 28% | 13% | 3% |
| Staff and Other Share | 30% | 44% | 39% |
Across all three AI companies, compute is the main cost center. Epoch AI estimates that R&D compute and inference compute together account for 57% to 70% of total spending, making infrastructure more expensive than staff and other costs in every case.
Among the three, Z.ai has the most R&D-heavy profile, with 58% of spending tied to compute powering model development and training.
Anthropic stands out for sheer scale. Epoch AI estimates the company spent $9.7 billion in 2025, including $6.8 billion on compute alone across training and inference.
Its costs are significantly higher than Minimax’s and Z.ai’s, even if the two Chinese AI companies’ figures were annualized to match Anthropic’s full-year period.
Both Chinese companies release many of their models as open source, meaning the model weights are freely available for anyone to download, modify, and run. This strategy helps them compete with better-funded U.S. labs by building developer adoption at a fraction of the cost.
One of the clearest takeaways is that talent costs less than compute in this comparison. Even though top AI labs pay some of the highest salaries in tech, staff and other costs still account for less than half of total spending at each of the three firms.
While the chart focuses on costs, Epoch AI estimates these labs are currently spending around 2–3x more than they generate in revenue, even as some expect economics to improve over time.
This dataset comes with a few important caveats. Anthropic’s figures are based on reporting from The Information and are more speculative, while Minimax and Z.ai figures come from IPO filings released in January 2026.
The time periods also differ: Anthropic data is for the full year of 2025, Minimax covers 2025 Q1–Q3, and Z.ai covers 2025 H1. Epoch AI says its expense totals include operating expenses, cost of goods and services, and non-cash items such as stock-based compensation.
If you enjoyed today’s post, check out The Soaring Revenues of AI Companies on Voronoi.
2026-04-21 22:19:12
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Artificial intelligence is spreading quickly across Europe, but adoption is not happening evenly. A clear divide is emerging between countries where AI is becoming mainstream and those where usage remains relatively low.
This map from Visual Capitalist’s AI Week, sponsored by Terzo, shows the share of people in each European country who used AI in the last three months, based on data from Eurostat and IAB UK.
Since the rollout of consumer AI tools in late 2022, Europe has begun to split into clear adoption tiers. Northern European countries dominate the top of the ranking, while several of the continent’s largest economies sit much lower.
The table below shows the share of people in each country who report using AI tools within the last three months.
| Rank | Country | Individuals using AI tools (%) |
|---|---|---|
| 1 |
Norway |
56.3 |
| 2 |
Denmark |
48.4 |
| 3 |
Switzerland |
47.0 |
| 4 |
Estonia |
46.6 |
| 5 |
Malta |
46.5 |
| 6 |
Finland |
46.3 |
| 7 |
Ireland |
44.9 |
| 8 |
Netherlands |
44.7 |
| 9 |
Cyprus |
44.2 |
| 10 |
Greece |
44.1 |
| 11 |
Luxembourg |
42.5 |
| 12 |
Belgium |
42.0 |
| 13 |
Sweden |
42.0 |
| 14 |
Austria |
39.4 |
| 15 |
Portugal |
38.7 |
| 16 |
Spain |
37.9 |
| 17 |
Slovenia |
37.6 |
| 18 |
France |
37.5 |
| 19 |
Lithuania |
36.9 |
| 20 |
Czechia |
35.4 |
| 21 |
UK |
34.3 |
| 22 |
Latvia |
33.4 |
| 23 |
EU |
32.7 |
| 24 |
Germany |
32.3 |
| 25 |
Slovakia |
30.8 |
| 26 |
Hungary |
29.6 |
| 27 |
Croatia |
27.5 |
| 28 |
Poland |
22.7 |
| 29 |
Bulgaria |
22.5 |
| 30 |
North Macedonia |
22.0 |
| 31 |
Bosnia & Herzegovina |
20.3 |
| 32 |
Italy |
19.9 |
| 33 |
Turkey |
18.6 |
| 34 |
Romania |
17.8 |
Eurostat data shows Northern Europe leading the way. Norway ranks first at (56%), followed by Denmark at 48% and Finland at 46%, suggesting AI has already entered the mainstream for a large share of people in these countries.
At the other end of the spectrum, adoption remains far lower in parts of southeastern Europe. Romania ranks last, with fewer than one in five people reporting recent AI use
Across Southern Europe, results varied immensely, with Italy (20%) and even Turkey (19%) seeing less than half the usage reported by their counterparts in Cyprus or Greece (both 44%), to say nothing of Malta (47%).
Meanwhile, the Iberian countries, Spain (38%) and Portugal (39%), reported mid-range figures in line with those seen in Western European peers like France and the United Kingdom.
The high gaps in AI usage across the Mediterranean appears to cut across economic or developmental divides.
Younger people appear to be accelerating adoption further. In the UK, for example, overall recent AI use stands at 34%, but among those aged 15-24, 24% report using these tools daily.
That points to a second divide beneath the country-level map: even where national adoption looks moderate, AI may already be deeply embedded among younger users in school and early-career workplaces.
If you enjoyed today’s post, check out ChatGPT the Only Constant in an Evolving AI Landscape on Voronoi.
2026-04-21 19:58:39
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Central banks are taking diverging paths on gold in 2026.
While countries like Poland, Uzbekistan, and China are adding to their reserves, others, including Russia and Turkey, are selling to manage economic pressures. The split highlights gold’s dual role as both a geopolitical hedge and a source of liquidity.
This chart shows net changes in central bank gold reserves by country so far as of end of February, based on data from the World Gold Council.
Poland is leading global gold accumulation in 2026, adding over 20 tonnes, more than any other central bank so far this year. This purchase is part of a broader multi-year plan to reach 700 tonnes, reflecting heightened security concerns on NATO’s eastern flank.
Uzbekistan and Kazakhstan follow closely behind, continuing a steady trend of gold accumulation among Central Asian economies.
| Country | Net Change in 2026 (Tonnes of Gold) |
|---|---|
Poland |
20.23 |
Uzbekistan |
16.48 |
Kazakhstan |
6.51 |
Malaysia |
4.98 |
Czechia |
3.36 |
China |
2.18 |
Cambodia |
1.69 |
Indonesia |
1.51 |
Serbia |
0.99 |
Philippines |
0.46 |
El Salvador |
0.29 |
Singapore |
0.20 |
Malta |
0.12 |
Mongolia |
0.08 |
Egypt |
0.06 |
Qatar |
0.02 |
Mexico |
-0.02 |
Belarus |
-0.05 |
Kyrgyzstan |
-1.07 |
Bulgaria |
-1.88 |
Turkey |
-8.08 |
Russia |
-15.55 |
The freezing of roughly $300 billion in Russian central bank assets in 2022 marked a turning point for global reserve management.
In response, countries like China and several Central Asian economies have accelerated gold purchases, treating bullion as a reserve asset that sits outside the reach of foreign governments. Unlike foreign currency reserves, gold is not subject to foreign jurisdiction, making it attractive in a fragmented geopolitical landscape. Smaller buyers, such as Cambodia and Serbia, are also gradually increasing their allocations.
On the other side of the ledger, Russia and Turkey are the largest net sellers of gold in 2026.
Russia’s gold sales point to mounting fiscal strain, as wartime spending and sanctions pressure government finances.
Meanwhile, Turkey’s reduction is driven by domestic policy, including efforts to stabilize the lira and manage local gold demand.
If you enjoyed today’s post, check out Mapped: Which Countries Hold the Most Gold Reserves? on Voronoi, the new app from Visual Capitalist.
2026-04-21 12:41:09
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Ireland and Luxembourg dominate the top of this ranking, but some of the most surprising entries come from Central and Eastern Europe, where capital regions rival Western Europe’s wealthiest hubs.
Using data from Eurostat and visualized by DataPulse, this graphic ranks EU regions by GDP per capita in purchasing power standards (PPS), which adjusts for cost-of-living differences across countries.
The table below shows the EU’s top-performing regions by GDP per capita, measured in purchasing power standards (PPS):
| Rank | Region | Country | GDP per Capita (€) | % of EU Avg |
|---|---|---|---|---|
| 1 | Eastern and Midland |
Ireland |
107,200 | 268 |
| 2 | Luxembourg |
Luxembourg |
97,700 | 245 |
| 3 | Southern |
Ireland |
86,500 | 217 |
| 4 | Hamburg |
Germany |
78,300 | 196 |
| 5 | Prague |
Czech Republic |
76,600 | 192 |
| 6 | Brussels |
Belgium |
76,000 | 190 |
| 7 | Bucharest - Ilfov |
Romania |
75,000 | 188 |
| 8 | Capital Region of Denmark |
Denmark |
70,100 | 175 |
| 9 | North Holland |
Netherlands |
69,900 | 175 |
| 10 | Upper Bavaria |
Germany |
67,700 | 170 |
| 11 | Budapest |
Hungary |
67,200 | 168 |
| 12 | Utrecht |
Netherlands |
64,900 | 162 |
| 13 | Bolzano - South Tyrol |
Italy |
64,200 | 161 |
| 14 | Île-de-France |
France |
64,000 | 160 |
| 15 | Warsaw |
Poland |
62,800 | 157 |
| 16 | Walloon Brabant |
Belgium |
61,900 | 155 |
| 17 | Stuttgart (district) |
Germany |
61,300 | 153 |
| 18 | Stockholm |
Sweden |
61,100 | 153 |
| 19 | Bratislava Region |
Slovakia |
61,000 | 153 |
| 20 | Darmstadt (district) |
Germany |
59,200 | 148 |
| 21 | Salzburg |
Austria |
58,100 | 146 |
| 22 | North Brabant |
Netherlands |
55,400 | 139 |
| 23 | Vienna |
Austria |
54,600 | 137 |
| 24 | Antwerp |
Belgium |
54,100 | 135 |
| 25 | Sostinės regionas |
Lithuania |
53,000 | 133 |
| 26 | Bremen (state) Bremen |
Germany |
52,700 | 132 |
| 27 | Lombardy |
Italy |
52,700 | 132 |
| 28 | Zagreb |
Croatia |
52,500 | 131 |
| 29 | Lower Saxony Braunschweig |
Germany |
51,500 | 129 |
| 30 | South Holland |
Netherlands |
51,500 | 129 |
| -- | Average |
European Union |
40,000 | 100 |
The top of the ranking is dominated by two familiar outliers: Ireland and Luxembourg.
Eastern and Midland (Ireland) leads the EU by a wide margin, while Southern Ireland and Luxembourg also rank far above the regional average. Notably, several Central and Eastern European capitals rank ahead of regions in much larger Western economies.
At first glance, Ireland and Luxembourg appear to be runaway leaders. But part of that strength reflects the way multinational firms book profits in these economies.
In Ireland especially, the presence of major foreign companies can push GDP per capita far above what domestic consumption or household income alone would suggest. Economists often describe this gap as GDP distortion, where globally generated profits are recorded locally.
Many of Europe’s wealthiest regions are centered around capital cities or major economic hubs. Prague, Brussels, Paris (Île-de-France), and Copenhagen all rank highly due to:
These regions act as economic engines, attracting talent, investment, and infrastructure that boost productivity and output per person.
Notably, Bucharest-Ilfov (Romania) and Budapest (Hungary) rank among the EU’s top regions, despite their countries having lower overall GDP per capita.
This creates a striking contrast: cities like Bucharest and Budapest rank among the EU’s richest regions, even though their countries rank much lower overall. Economic activity is concentrated in these capital hubs, where multinational firms and high-value services drive productivity well above national averages.
The broader takeaway is that national averages can hide where economic power is really concentrated. Across the EU, a relatively small group of capital cities, financial centers, and multinational hubs account for an outsized share of regional wealth.
For more insights on Europe’s wealth distribution, check out Europe’s Richest Countries on the Voronoi app.
2026-04-21 00:35:15
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How free is the internet where you live?
This map ranks 171 countries based on how freely people can access the internet. The results reveal stark global differences, from highly open systems in parts of Europe and Latin America to tightly controlled networks in countries like North Korea and China.
The data comes from a 2026 internet freedom index by Cloudwards, which evaluates national policies across four areas: torrenting, VPN availability, adult content, and political and civic expression.
The United States scores 64 out of 100, placing it in the global middle. It ranks alongside countries like Japan and Australia, and below top performers such as Norway (92) and Canada (84).
The UK scores even lower at 52, reflecting stricter regulations in areas like online content access.
No country achieves a perfect score, but 11 countries across four continents share the top spot at 92.
These countries are Belgium, Costa Rica, Denmark, Finland, Iceland, Liechtenstein, New Zealand, Norway, Slovakia, Suriname, and Timor-Leste.
The data table below lists countries worldwide alongside their internet freedom scores.
| Country | Internet Freedom Score |
|---|---|
Belgium |
92 |
Costa Rica |
92 |
Denmark |
92 |
Finland |
92 |
Iceland |
92 |
Liechtenstein |
92 |
New Zealand |
92 |
Norway |
92 |
Slovakia |
92 |
Suriname |
92 |
Timor-Leste |
92 |
Andorra |
84 |
Austria |
84 |
Belize |
84 |
Canada |
84 |
Cape Verde |
84 |
Chile |
84 |
Côte d’Ivoire |
84 |
Croatia |
84 |
Dominican Republic |
84 |
Greece |
84 |
Guyana |
84 |
Haiti |
84 |
Jamaica |
84 |
Kosovo |
84 |
Lithuania |
84 |
Luxembourg |
84 |
Malta |
84 |
Moldova |
84 |
Montenegro |
84 |
North Macedonia |
84 |
Panama |
84 |
Poland |
84 |
Seychelles |
84 |
Slovenia |
84 |
Switzerland |
84 |
Trinidad & Tobago |
84 |
Uruguay |
84 |
Ireland |
80 |
Latvia |
80 |
Portugal |
80 |
Sweden |
80 |
Argentina |
76 |
Benin |
76 |
Bolivia |
76 |
Bosnia & Herzegovina |
76 |
Cyprus |
76 |
Fiji |
76 |
Gambia |
76 |
Hungary |
76 |
Liberia |
76 |
Madagascar |
76 |
Mongolia |
76 |
Namibia |
76 |
Niger |
76 |
Peru |
76 |
Bulgaria |
72 |
Estonia |
72 |
Ghana |
72 |
Guatemala |
72 |
Italy |
72 |
Mexico |
72 |
Netherlands |
72 |
Paraguay |
72 |
Spain |
72 |
Taiwan |
72 |
Angola |
68 |
Democratic Republic of Congo |
68 |
Gabon |
68 |
Malawi |
68 |
Mali |
68 |
Mauritius |
68 |
Mozambique |
68 |
Papua New Guinea |
68 |
Republic of the Congo |
68 |
Senegal |
68 |
Albania |
64 |
Australia |
64 |
Botswana |
64 |
Central African Republic |
64 |
Ecuador |
64 |
France |
64 |
Georgia |
64 |
Germany |
64 |
Guinea-Bissau |
64 |
Honduras |
64 |
Hong Kong SAR China |
64 |
Japan |
64 |
Lesotho |
64 |
Maldives |
64 |
Morocco |
64 |
Nicaragua |
64 |
Nigeria |
64 |
Romania |
64 |
Serbia |
64 |
South Africa |
64 |
United States |
64 |
Mauritania |
60 |
Armenia |
56 |
Burundi |
56 |
Cameroon |
56 |
Chad |
56 |
Eswatini |
56 |
Guinea |
56 |
Lebanon |
56 |
Palestine |
56 |
Philippines |
56 |
Rwanda |
56 |
Tajikistan |
56 |
Tunisia |
56 |
Bhutan |
52 |
Brazil |
52 |
Colombia |
52 |
Kenya |
52 |
Kyrgyzstan |
52 |
United Kingdom |
52 |
Zambia |
52 |
Algeria |
48 |
Burkina Faso |
48 |
Djibouti |
48 |
Nepal |
48 |
Sri Lanka |
48 |
Tongo |
48 |
Zimbabwe |
48 |
Cambodia |
44 |
El Salvador |
44 |
Israel |
44 |
Somalia |
44 |
Ukraine |
44 |
Azerbaijan |
36 |
Cuba |
36 |
Equatorial Guinea |
36 |
Ethiopia |
36 |
Jordan |
36 |
Kazakhstan |
36 |
Kuwait |
36 |
Laos |
36 |
Thailand |
36 |
Venezuela |
36 |
Bahrain |
32 |
Malaysia |
32 |
Singapore |
32 |
South Korea |
32 |
Libya |
28 |
Tanzania |
28 |
Afghanistan |
24 |
Brunei |
24 |
Indonesia |
24 |
Qatar |
24 |
Uganda |
24 |
Uzbekistan |
24 |
Vietnam |
24 |
Bangladesh |
20 |
Belarus |
20 |
Oman |
20 |
Iraq |
16 |
Myanmar (Burma) |
16 |
Turkmenistan |
16 |
Egypt |
12 |
India |
12 |
Saudi Arabia |
12 |
Sudan |
12 |
Syria |
12 |
Türkiye |
12 |
United Arab Emirates |
12 |
Yemen |
12 |
China |
4 |
Iran |
4 |
Pakistan |
4 |
Russia |
4 |
North Korea |
0 |
European countries make up over half of this top echelon and are especially concentrated in the Nordics, where Sweden (80) is the only exception. The Nordic countries are widely known for their liberal, tolerant governments and societies.
Perhaps more surprising is the high placement of countries like Suriname and Timor-Leste, developing nations in South America and Asia that have nonetheless imposed minimal restrictions on social media use and online access.
On the other side of the spectrum is North Korea (0), where very few citizens have access to the global internet. Instead, most rely on the national intranet service, Kwangmyong, which filters out outside information.
Right behind North Korea are China and Russia, which tie with Iran and Pakistan for the next-lowest scores worldwide (4).
China’s Great Firewall is perhaps the world’s best-known censorship system, used to suppress criticism of the country’s leaders or content related to politically sensitive topics such as the Tiananmen Square protests. It also blocks access to foreign platforms like Facebook and YouTube.
The United States (64) sits near the middle of the ranking, alongside developed democracies such as Australia, France, Germany, and Japan. The United Kingdom (52) scores slightly lower, with recent adult content legislation playing a role.
Across much of the Western world, scores remain relatively high, including in Canada (84), Ireland and Portugal (both 80), and Spain and Italy (both 72).
One notable outlier is South Korea (32), which ranks below countries like Cuba, Kazakhstan, and Venezuela (36), underscoring how content restrictions—not just political systems—shape internet freedom scores.
If you enjoyed today’s post, check out A Day of Activity on the Internet on Voronoi.Use This Visualization