2026-03-16 20:02:23
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What does it take to be considered middle class in the United States today? The answer varies widely depending on where you live.
This visualization maps the minimum income required to qualify as middle class in each U.S. state, based on the lower bound of middle-income households.
The data comes from SmartAsset, using U.S. Census Bureau median income figures and Pew Research Center’s definition of middle income as two-thirds to double the median household income.
The highest thresholds for middle-class income are concentrated in the Northeast.
Massachusetts ranks first, where households must earn roughly $69.9K to enter the middle-income range. New Jersey and Maryland follow closely behind at $69.5K and $68.6K, respectively. High wages and high living costs in these states push the threshold upward.
| Rank | State | Lower bound for middle class income |
|---|---|---|
| 1 | Massachusetts | $69.9K |
| 2 | New Jersey | $69.5K |
| 3 | Maryland | $68.6K |
| 4 | Hawaii | $67.2K |
| 5 | California | $66.8K |
| 6 | New Hampshire | $66.5K |
| 7 | Washington | $66.3K |
| 8 | Colorado | $64.7K |
| 9 | Utah | $64.4K |
| 10 | Connecticut | $64.0K |
| 11 | Alaska | $63.8K |
| 12 | Virginia | $61.4K |
| 13 | Delaware | $58.4K |
| 14 | Minnesota | $58.1K |
| 15 | New York | $57.2K |
| 16 | Oregon | $56.8K |
| 17 | Rhode Island | $55.7K |
| 18 | Illinois | $55.5K |
| 19 | Vermont | $55.2K |
| 20 | Arizona | $54.3K |
| 21 | Idaho | $54.1K |
| 22 | Nevada | $54.1K |
| 23 | Georgia | $53.3K |
| 24 | Texas | $53.1K |
| 25 | North Dakota | $51.9K |
| 26 | Florida | $51.8K |
| 27 | Pennsylvania | $51.7K |
| 28 | Wisconsin | $51.7K |
| 29 | South Dakota | $51.3K |
| 30 | Maine | $51.0K |
| 31 | Nebraska | $50.9K |
| 32 | Wyoming | $50.4K |
| 33 | Kansas | $50.3K |
| 34 | Iowa | $50.3K |
| 35 | Montana | $50.2K |
| 36 | North Carolina | $49.3K |
| 37 | Michigan | $48.3K |
| 38 | South Carolina | $48.2K |
| 39 | Ohio | $48.1K |
| 40 | Tennessee | $48.0K |
| 41 | Indiana | $48.0K |
| 42 | Missouri | $47.7K |
| 43 | New Mexico | $45.2K |
| 44 | Alabama | $44.4K |
| 45 | Oklahoma | $44.1K |
| 46 | Kentucky | $43.0K |
| 47 | Arkansas | $41.4K |
| 48 | Louisiana | $40.7K |
| 49 | West Virginia | $40.5K |
| 50 | Mississippi | $39.4K |
Other states with high thresholds include Hawaii, California, and New Hampshire, where the minimum middle-class income exceeds $66K.
Many Southern states require significantly lower incomes to reach middle-class status.
Mississippi ranks last, with a lower bound of just $39.4K, followed by West Virginia at $40.5K and Louisiana at $40.7K. Arkansas and Kentucky also appear near the bottom of the list.
Overall, these lower thresholds largely reflect lower median incomes and lower living costs in the region.
The Western U.S. shows significant variation in middle-class income thresholds. States like California and Washington rank among the highest, with thresholds above $66K.
Meanwhile, several Mountain West states fall closer to the middle of the ranking. Arizona requires about $54.3K to be considered middle class, while Idaho and Nevada are both around $54K.
Lower-cost states such as New Mexico rank further down the list, with a middle-class threshold of about $45.2K.
If you enjoyed today’s post, check out America’s Workforce, By the Numbers on Voronoi, the new app from Visual Capitalist.
2026-03-16 01:41:01
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Americans get their news online from a wide mix of sources, including legacy newspapers, cable networks, digital platforms, and sports media brands.
This graphic ranks the 20 news websites with the highest positive opinion among Americans, based on YouGov polling from the fourth quarter of 2025. The results highlight a fragmented media landscape, with many well-known outlets clustered closely together in approval ratings.
Despite surveying American audiences, the top-ranked news website is BBC News, with 51% of respondents expressing a positive opinion.
The BBC is the United Kingdom’s public broadcaster. Founded in 1922, it has grown into one of the largest global news organizations.
The table below ranks the 20 news sites with the highest approval among Americans.
| Rank | News site | Share of people with a positive opinion about the news website |
|---|---|---|
| 1 | BBC News | 51% |
| 2 | Yahoo! | 48% |
| 3 | ESPN | 43% |
| 4 | NBC | 42% |
| 5 | NBC News | 42% |
| 6 | The New York Times | 41% |
| 7 | Forbes | 39% |
| 8 | CNN | 39% |
| 9 | CBS | 39% |
| 10 | MSN | 39% |
| 11 | NPR | 38% |
| 12 | Fox News | 38% |
| 13 | CNBC | 38% |
| 14 | Reuters | 35% |
| 15 | The Washington Post | 34% |
| 16 | Buzzfeed | 32% |
| 17 | NFL.com | 31% |
| 18 | Politico | 31% |
| 19 | Today.com | 30% |
| 20 | Business Insider | 30% |
BBC stands out as the only news website to surpass the 50% approval mark. No American outlet achieves the same level of broad popularity among respondents.
One possible explanation is distance from U.S. politics. As an international broadcaster, the BBC may avoid some of the domestic partisan divisions faced by American news organizations.
Following BBC, 48% of Americans express a positive view of Yahoo News, making it the second-ranked site overall and the top U.S.-based brand.
Although Yahoo was founded in 1996, it only began producing original journalism in 2011. Before that, it primarily functioned as a news aggregator, republishing stories from other outlets—an approach that helped it build a large and familiar audience.
Further down the ranking, sports media brand ESPN (43%) outranks the newspaper of record, The New York Times (41%). The result highlights the broad appeal of sports coverage compared with more politically focused news.
The Times is not the only major brand that ranks lower than expected in online popularity.
Well-known television networks such as CNN (39%) and Fox News (38%) have large cable audiences but receive more modest approval ratings among Americans online.
Growing political polarization in the U.S., along with ongoing debates over media bias, may help explain why these outlets generate more divided public opinion.
If you enjoyed today’s post, check out Ranked: The 20 Most Visited Websites in the World in 2026 on Voronoi, the new app from Visual Capitalist.
2026-03-15 22:26:57
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AI usage is spreading quickly across the U.S., but adoption isn’t happening evenly.
New data from Anthropic reveals which states use its Claude chatbot the most relative to their working-age populations, based on the Anthropic AI Usage Index.
The results show that while large states like California dominate total usage, smaller states and tech hubs often have the highest adoption intensity.
Dive into the data below, collected during the week of Nov. 13–20, 2025.
Each score represents usage relative to what would be expected based on a state’s working-age population.
| Rank | State | Anthropic AI Usage Index | Actual Usage Share (%) |
|---|---|---|---|
| 1 | Washington, D.C. | 4.00x | 0.91 |
| 2 | New York | 2.68x | 15.74 |
| 3 | Massachusetts | 1.60x | 3.45 |
| 4 | California | 1.48x | 17.58 |
| 5 | Colorado | 1.41x | 2.55 |
| 6 | Washington | 1.36x | 3.22 |
| 7 | Virginia | 1.34x | 3.46 |
| 8 | Vermont | 1.13x | 0.21 |
| 9 | Oregon | 1.11x | 1.40 |
| 10 | Utah | 1.07x | 1.13 |
| 11 | Maryland | 1.05x | 1.92 |
| 12 | Illinois | 0.98x | 3.70 |
| 13 | Rhode Island | 0.92x | 0.31 |
| 14 | Connecticut | 0.92x | 0.99 |
| 15 | New Hampshire | 0.90x | 0.37 |
| 16 | Georgia | 0.88x | 2.93 |
| 17 | North Carolina | 0.87x | 2.80 |
| 18 | Nevada | 0.86x | 0.84 |
| 19 | Hawaii | 0.84x | 0.33 |
| 20 | New Jersey | 0.84x | 2.35 |
| 21 | Florida | 0.80x | 5.36 |
| 22 | Pennsylvania | 0.80x | 3.02 |
| 23 | Arizona | 0.76x | 1.66 |
| 24 | Texas | 0.76x | 7.12 |
| 25 | Minnesota | 0.74x | 1.25 |
| 26 | Delaware | 0.71x | 0.21 |
| 27 | Tennessee | 0.65x | 1.38 |
| 28 | Missouri | 0.63x | 1.14 |
| 29 | Michigan | 0.61x | 1.80 |
| 30 | Wisconsin | 0.60x | 1.05 |
| 31 | Indiana | 0.60x | 1.21 |
| 32 | Kansas | 0.59x | 0.50 |
| 33 | Nebraska | 0.59x | 0.34 |
| 34 | Ohio | 0.59x | 2.02 |
| 35 | Maine | 0.59x | 0.24 |
| 36 | Idaho | 0.56x | 0.32 |
| 37 | Montana | 0.54x | 0.17 |
| 38 | Oklahoma | 0.48x | 0.57 |
| 39 | South Carolina | 0.45x | 0.71 |
| 40 | South Dakota | 0.44x | 0.12 |
| 41 | Iowa | 0.44x | 0.41 |
| 42 | Louisiana | 0.43x | 0.57 |
| 43 | Alaska | 0.43x | 0.09 |
| 44 | Alabama | 0.42x | 0.63 |
| 45 | New Mexico | 0.41x | 0.25 |
| 46 | North Dakota | 0.41x | 0.09 |
| 47 | Arkansas | 0.39x | 0.35 |
| 48 | Kentucky | 0.38x | 0.51 |
| 49 | Mississippi | 0.30x | 0.25 |
| 50 | West Virginia | 0.25x | 0.13 |
| 51 | Wyoming | n/a | n/a |
New York has the highest Anthropic AI Usage Index among U.S. states at 2.68x relative to its working-age population. California, however, accounts for the largest share of total Claude usage at 17.58%, with New York close behind at 15.74%.
This contrast highlights the difference between total usage and usage intensity. While California generates the most activity overall due to its size, New York shows higher adoption relative to its workforce.
Washington, D.C. stands out as the strongest outlier, with an index value of 4.00x. The capital’s high concentration of professionals and government workers likely contributes to this elevated adoption. Neighboring Maryland, by comparison, records a much lower index of 1.05x, though it still ranks near the top nationally.
At the other end of the spectrum, West Virginia has the lowest index at 0.25x, followed by Mississippi (0.29x) and Kentucky (0.38x). These results highlight the uneven pace of AI adoption across the country.
Many of the leading states are concentrated along the West Coast and in the Northeast, regions known for strong technology sectors, major financial institutions, and highly educated workforces.
Massachusetts, for example, ranks second on the index at 1.60x and is home to institutions like the Massachusetts Institute of Technology. California, where Anthropic is headquartered, follows at 1.48x and hosts universities such as Stanford, Caltech, UC Berkeley, and UCLA.
Given these ecosystems, it’s unsurprising that common Claude use cases include academic work, web and app development, and business planning.
Anthropic positioned its data release as a way to better understand AI’s broader economic impact.
JPMorgan attributed 1.1% of total GDP growth in the first half of 2025 to AI-related capital expenditures. While the technology has already contributed to breakthroughs in healthcare and medicine, other analyses paint a more mixed picture.
For example, Goldman found limited near-term boosts to the economy, and debate continues over AI’s long-term effects on productivity and the workforce.
To learn more about AI adoption, check out this graphic which charts adoption by country.
2026-03-15 20:06:38
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New data from Anthropic reveals where its Claude AI chatbot is gaining the most traction worldwide.
While Israel tops the overall ranking, the United States leads among countries with at least 10,000 Claude conversations, scoring 3.69x on the index.
This visualization maps which countries use it the most relative to their working-age population, according to the Anthropic AI Usage Index.
Dive into the data below, which was collected across 116 countries in the week of Nov 13-20, 2025.
Each score represents usage relative to what would be expected based on a country’s working-age population.
| Rank | Index score | |
|---|---|---|
| 1 |
Israel |
4.90x |
| 2 |
Singapore |
4.19x |
| 3 |
United States |
3.69x |
| 4 |
Australia |
3.27x |
| 5 |
Switzerland |
3.21x |
| 6 |
Canada |
3.15x |
| 7 |
South Korea |
3.12x |
| 8 |
New Zealand |
3.11x |
| 9 |
Luxembourg |
3.07x |
| 10 |
Estonia |
3.05x |
| 11 |
France |
2.66x |
| 12 |
Malta |
2.63x |
| 13 |
The Netherlands |
2.61x |
| 14 |
United Kingdom |
2.59x |
| 15 |
Norway |
2.43x |
| 16 |
Ireland |
2.39x |
| 17 |
Sweden |
2.29x |
| 18 |
Portugal |
2.23x |
| 19 |
Belgium |
2.17x |
| 20 |
Georgia |
2.17x |
| 21 |
Cyprus |
2.15x |
| 22 |
Denmark |
2.10x |
| 23 |
Lithuania |
2.09x |
| 24 |
Finland |
1.95x |
| 25 |
Latvia |
1.92x |
| 26 |
Austria |
1.88x |
| 27 |
Slovenia |
1.85x |
| 28 |
Germany |
1.79x |
| 29 |
Taiwan |
1.77x |
| 30 |
Spain |
1.62x |
| 31 |
Italy |
1.62x |
| 32 |
United Arab Emirates |
1.61x |
| 33 |
Japan |
1.59x |
| 34 |
Czechia |
1.54x |
| 35 |
Moldova |
1.47x |
| 36 |
Poland |
1.41x |
| 37 |
Qatar |
1.39x |
| 38 |
Bulgaria |
1.33x |
| 39 |
Croatia |
1.31x |
| 40 |
Serbia |
1.24x |
| 41 |
Mauritius |
1.24x |
| 42 |
Greece |
1.21x |
| 43 |
Peru |
1.19x |
| 44 |
Tunisia |
1.14x |
| 45 |
Costa Rica |
1.12x |
| 46 |
Uruguay |
1.10x |
| 47 |
Ukraine |
1.09x |
| 48 |
Slovakia |
1.08x |
| 49 |
North Macedonia |
1.08x |
| 50 |
Ecuador |
1.05x |
| 51 |
Chile |
1.04x |
| 52 |
Hungary |
0.98x |
| 53 |
Romania |
0.98x |
| 54 |
Armenia |
0.97x |
| 55 |
Panama |
0.95x |
| 56 |
Trinidad and Tobago |
0.93x |
| 57 |
Puerto Rico |
0.92x |
| 58 |
Colombia |
0.88x |
| 59 |
Bahrain |
0.85x |
| 60 |
Sri Lanka |
0.82x |
| 61 |
Lebanon |
0.78x |
| 62 |
Morocco |
0.76x |
| 63 |
Argentina |
0.75x |
| 64 |
Dominican Republic |
0.74x |
| 65 |
Bolivia |
0.71x |
| 66 |
Brazil |
0.70x |
| 67 |
Albania |
0.68x |
| 68 |
Malaysia |
0.66x |
| 69 |
Bosnia and Herzegovina |
0.60x |
| 70 |
Thailand |
0.59x |
| 71 |
Jamaica |
0.56x |
| 72 |
Turkey |
0.56x |
| 73 |
Vietnam |
0.56x |
| 74 |
Kazakhstan |
0.56x |
| 75 |
Indonesia |
0.48x |
| 76 |
Philippines |
0.48x |
| 77 |
Paraguay |
0.47x |
| 78 |
El Salvador |
0.47x |
| 79 |
Saudi Arabia |
0.45x |
| 80 |
Mexico |
0.44x |
| 81 |
Iraq |
0.43x |
| 82 |
Kenya |
0.43x |
| 83 |
South Africa |
0.38x |
| 84 |
Jordan |
0.37x |
| 85 |
Kuwait |
0.37x |
| 86 |
Kyrgyzstan |
0.35x |
| 87 |
Oman |
0.35x |
| 88 |
Algeria |
0.34x |
| 89 |
Palestinian Territory |
0.32x |
| 90 |
Nepal |
0.32x |
| 91 |
Rwanda |
0.30x |
| 92 |
Azerbaijan |
0.29x |
| 93 |
Egypt |
0.28x |
| 94 |
Ghana |
0.27x |
| 95 |
Senegal |
0.27x |
| 96 |
Guatemala |
0.26x |
| 97 |
Benin |
0.25x |
| 98 |
Cameroon |
0.23x |
| 99 |
Ivory Coast |
0.23x |
| 100 |
Pakistan |
0.22x |
| 101 |
India |
0.22x |
| 102 |
Nigeria |
0.22x |
| 103 |
Honduras |
0.21x |
| 104 |
Laos |
0.20x |
| 105 |
Cambodia |
0.19x |
| 106 |
Togo |
0.17x |
| 107 |
Zimbabwe |
0.15x |
| 108 |
Uzbekistan |
0.13x |
| 109 |
Madagascar |
0.13x |
| 110 |
Zambia |
0.11x |
| 111 |
Burkina Faso |
0.10x |
| 112 |
Bangladesh |
0.09x |
| 113 |
Uganda |
0.09x |
| 114 |
Mozambique |
0.07x |
| 115 |
Angola |
0.05x |
| 116 |
Tanzania |
0.03x |
Israel topped the Anthropic AI Usage Index at 4.9x, putting it well ahead of other countries. Israel has been labeled the “Start-up Nation” since a book of the same name charted its rapid growth and technological innovation.
Singapore has the second-highest uptake at 4.19x. The small city-state also performed well on last year’s Global Innovation Index, which ranks countries on research and entrepreneurship.
Because the index measures usage relative to workforce size, smaller tech-driven economies can rank highly even if their overall user base is smaller.
However, among countries with at least 10,000 conversations, the United States leads at 3.69x. It also dominates in share of actual usage, though raw usage numbers don’t necessarily equate to broad penetration, given that countries with larger populations would naturally rank higher.
Brazil ranks among the largest users of Claude in raw terms, but its score drops to 0.7x when adjusted for workforce size, showing how population size can inflate raw usage totals.
Asia fares well overall, as South Korea ranks among the top adopters per capita at 3.12x. Australia, Canada, and New Zealand occupy other top spots at 3.27x, 3.15x, and 3.11x respectively.
Most of the highest-ranking countries are in North America, Europe, Oceania, and parts of East Asia.
Malta and Georgia also made the top 20, with scores of 2.8x and 2.17x. Malta consistently punches above its weight as a European startup hub, despite being a tiny island in the Mediterranean, while efforts are underway to institutionalize AI use in Georgia.
At the bottom of the index were Tanzania and Angola, at 0.03x and 0.05x respectively.
Some smaller countries were not included due to an insufficient number of conversations over the observation period.
Claude usage also varies depending on economic conditions. In lower-income countries, the chatbot is commonly used for homework help and programming tasks, while wealthier countries show a broader mix of professional uses.
The dynamic could also reflect the ages of those using chatbots in different countries. In lower-income areas, there may be higher uptake among students.
To learn more about how AI, check out this graphic which charts the rise of AI chatbots.
2026-03-15 02:13:43

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The global arms trade is heavily concentrated among a handful of countries, with the United States far ahead of every other supplier. From 2021 and 2025, the U.S. accounted for 42% of global arms exports, more than four times the share of the next-largest exporter.
This visualization, created by Aneesh Anand using data from the SIPRI Arms Transfers Database, shows the share of global arms exports by country from 2021–2025.
Here are the world’s largest arms exporters based on SIPRI data for 2021–2025.
| Country | Share of Arms Exports (2021–25, %) | Group |
|---|---|---|
| U.S. | 42 | N. America |
| France | 10 | Europe |
| Russia | 7 | Europe |
| Germany | 6 | Europe |
| China | 6 | Asia |
| Italy | 5 | Europe |
| Israel | 4 | Asia |
| UK | 3 | Europe |
| South Korea | 3 | Asia |
| Spain | 2 | Europe |
| Rest of World | 12 | Rest of World |
The U.S. stands far ahead of all competitors, accounting for roughly 42% of global arms exports. France, Russia, China, and Germany form a distant second tier. Meanwhile, emerging suppliers like South Korea are rapidly expanding their global footprint.
The United States has long been the world’s largest arms exporter, but its dominance has expanded in recent years.
Several factors help explain this lead:
As geopolitical tensions rise, many countries are turning to the U.S. for advanced weapons systems. European demand in particular has surged following Russia’s invasion of Ukraine, contributing to a nearly 10% increase in global arms transfers.
These exports are also closely tied to broader geopolitical influence, reinforcing the U.S. position as a central supplier to allied nations.
One notable shift in the rankings is Germany overtaking China as the world’s fourth-largest arms exporter. Germany now accounts for roughly 6% of global exports, slightly ahead of China. The shift reflects increased German defense manufacturing and growing demand for European-made military equipment.
European arms suppliers have benefited from heightened security concerns on the continent, which has accelerated procurement across NATO and neighboring states.
China, meanwhile, remains a significant exporter but tends to sell more regionally, particularly to countries in Asia, Africa, and the Middle East.
One of the fastest-rising players in the global arms market is South Korea.
With roughly 3% of global arms exports, the country has rapidly expanded its presence by focusing on competitive pricing, fast production timelines, and modern weapons systems. South Korean firms have secured major deals for tanks, artillery systems, and fighter jets, particularly in Eastern Europe and Southeast Asia.
The country has made defense exports a strategic national priority, aiming to become one of the world’s top arms exporters in the coming decades.
Interested in exploring the companies behind global defense spending? Check out this visualization on the largest defense contractors by market cap, showing the biggest players shaping the global arms industry today.
2026-03-15 00:53:04
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Agricultural land spans more than 18 million square miles worldwide, forming the foundation of global food production.
This graphic ranks the top 50 countries by agricultural land area, using the most recent FAO data compiled by the World Bank. China leads the world by a wide margin, followed by the United States and Australia.
The ranking highlights where the world’s largest agricultural footprints are located, spanning major producers across Asia, Africa, and the Americas.
At 2 million square miles, China has more agricultural land than any other country worldwide. Roughly a fifth of the national population works in agriculture, and China today is the world’s largest producer and consumer of agricultural goods.
The data table below features all of the world’s countries and their total square mileage of agricultural land:
| Rank | Country Name | Ag land (sq. mi) |
|---|---|---|
| 1 |
China |
2,009,326 |
| 2 |
United States |
1,627,576 |
| 3 |
Australia |
1,402,492 |
| 4 |
Brazil |
914,131 |
| 5 |
Russian Federation |
832,826 |
| 6 |
Kazakhstan |
827,284 |
| 7 |
India |
689,466 |
| 8 |
Saudi Arabia |
670,418 |
| 9 |
Argentina |
448,405 |
| 10 |
Sudan |
435,002 |
| 11 |
Mongolia |
414,933 |
| 12 |
Mexico |
380,486 |
| 13 |
South Africa |
371,975 |
| 14 |
Nigeria |
267,948 |
| 15 |
Canada |
219,596 |
| 16 |
Indonesia |
212,828 |
| 17 |
Chad |
194,353 |
| 18 |
Iran, Islamic Rep. |
181,727 |
| 19 |
Niger |
179,918 |
| 20 |
Angola |
177,850 |
| 21 |
Somalia, Fed. Rep. |
170,384 |
| 22 |
Mali |
167,103 |
| 23 |
Mozambique |
160,280 |
| 24 |
Algeria |
159,633 |
| 25 |
Ukraine |
159,503 |
| 26 |
Madagascar |
157,896 |
| 27 |
Colombia |
156,306 |
| 28 |
Mauritania |
153,321 |
| 29 |
Turkmenistan |
152,812 |
| 30 |
Tanzania |
152,592 |
| 31 |
Bolivia |
149,867 |
| 32 |
Namibia |
149,854 |
| 33 |
Turkiye |
148,989 |
| 34 |
Ethiopia |
148,483 |
| 35 |
Afghanistan |
147,167 |
| 36 |
Pakistan |
138,977 |
| 37 |
Congo, Dem. Rep. |
135,505 |
| 38 |
Morocco |
115,013 |
| 39 |
Kenya |
111,076 |
| 40 |
South Sudan |
109,449 |
| 41 |
France |
109,256 |
| 42 |
Cote d'Ivoire |
106,175 |
| 43 |
Botswana |
99,854 |
| 44 |
Uzbekistan |
98,773 |
| 45 |
Spain |
95,648 |
| 46 |
Peru |
94,153 |
| 47 |
Zambia |
92,043 |
| 48 |
Yemen, Rep. |
90,549 |
| 49 |
Thailand |
86,394 |
| 50 |
Venezuela, RB |
83,012 |
| 51 |
Paraguay |
82,730 |
| 52 |
Guinea |
69,475 |
| 53 |
United Kingdom |
65,674 |
| 54 |
Germany |
64,039 |
| 55 |
Zimbabwe |
62,422 |
| 56 |
Libya |
59,267 |
| 57 |
Burkina Faso |
56,413 |
| 58 |
Poland |
56,294 |
| 59 |
Uganda |
55,657 |
| 60 |
Uruguay |
54,976 |
| 61 |
Syrian Arab Republic |
52,533 |
| 62 |
Italy |
50,531 |
| 63 |
Myanmar |
50,183 |
| 64 |
Philippines |
49,122 |
| 65 |
Romania |
49,093 |
| 66 |
Ghana |
48,663 |
| 67 |
Viet Nam |
47,456 |
| 68 |
Chile |
41,303 |
| 69 |
Congo, Rep. |
41,125 |
| 70 |
Kyrgyz Republic |
39,996 |
| 71 |
Cameroon |
38,212 |
| 72 |
New Zealand |
37,494 |
| 73 |
Tunisia |
37,454 |
| 74 |
Senegal |
36,722 |
| 75 |
Iraq |
36,592 |
| 76 |
Bangladesh |
36,290 |
| 77 |
Malaysia |
33,093 |
| 78 |
Belarus |
31,019 |
| 79 |
Eritrea |
29,313 |
| 80 |
Cuba |
24,714 |
| 81 |
Cambodia |
23,762 |
| 82 |
Malawi |
23,359 |
| 83 |
Central African Republic |
21,887 |
| 84 |
Greece |
20,742 |
| 85 |
Ecuador |
20,656 |
| 86 |
Nicaragua |
19,656 |
| 87 |
Hungary |
19,626 |
| 88 |
Bulgaria |
19,317 |
| 89 |
Azerbaijan |
18,454 |
| 90 |
Benin |
18,211 |
| 91 |
Guatemala |
17,807 |
| 92 |
Japan |
17,788 |
| 93 |
Ireland |
16,174 |
| 94 |
Egypt, Arab Rep. |
15,668 |
| 95 |
Portugal |
15,328 |
| 96 |
Sierra Leone |
15,247 |
| 97 |
Tajikistan |
14,976 |
| 98 |
Togo |
14,749 |
| 99 |
Nepal |
14,456 |
| 100 |
Honduras |
13,807 |
| 101 |
Czechia |
13,646 |
| 102 |
Serbia |
13,112 |
| 103 |
Sri Lanka |
11,610 |
| 104 |
Sweden |
11,514 |
| 105 |
Lithuania |
11,093 |
| 106 |
Dominican Republic |
10,301 |
| 107 |
Denmark |
10,120 |
| 108 |
Austria |
10,028 |
| 109 |
Korea, Dem. People's Rep. |
10,021 |
| 110 |
Moldova |
9,421 |
| 111 |
Georgia |
9,158 |
| 112 |
Lesotho |
9,115 |
| 113 |
Lao PDR |
8,831 |
| 114 |
Finland |
8,734 |
| 115 |
Panama |
8,456 |
| 116 |
Burundi |
8,317 |
| 117 |
Gabon |
8,314 |
| 118 |
Latvia |
7,610 |
| 119 |
Liberia |
7,425 |
| 120 |
Rwanda |
7,271 |
| 121 |
Slovak Republic |
7,046 |
| 122 |
Netherlands |
6,961 |
| 123 |
Haiti |
6,931 |
| 124 |
Djibouti |
6,579 |
| 125 |
Costa Rica |
6,534 |
| 126 |
Armenia |
6,380 |
| 127 |
Iceland |
6,324 |
| 128 |
Korea, Rep. |
6,054 |
| 129 |
Switzerland |
5,765 |
| 130 |
Croatia |
5,737 |
| 131 |
Oman |
5,682 |
| 132 |
Papua New Guinea |
5,425 |
| 133 |
Belgium |
5,225 |
| 134 |
North Macedonia |
4,830 |
| 135 |
El Salvador |
4,617 |
| 136 |
Eswatini |
4,614 |
| 137 |
Bosnia and Herzegovina |
4,297 |
| 138 |
Albania |
4,033 |
| 139 |
Jordan |
3,954 |
| 140 |
Estonia |
3,815 |
| 141 |
Norway |
3,792 |
| 142 |
Guinea-Bissau |
3,245 |
| 143 |
Guyana |
2,780 |
| 144 |
Lebanon |
2,603 |
| 145 |
Gambia, The |
2,448 |
| 146 |
Slovenia |
2,360 |
| 147 |
Israel |
2,072 |
| 148 |
Bhutan |
2,035 |
| 149 |
Jamaica |
1,610 |
| 150 |
United Arab Emirates |
1,512 |
| 151 |
West Bank and Gaza |
1,510 |
| 152 |
Timor-Leste |
1,318 |
| 153 |
Fiji |
1,203 |
| 154 |
Montenegro |
1,017 |
| 155 |
Greenland |
939 |
| 156 |
Vanuatu |
722 |
| 157 |
New Caledonia |
711 |
| 158 |
Belize |
703 |
| 159 |
Puerto Rico (US) |
652 |
| 160 |
Kuwait |
579 |
| 161 |
Comoros |
514 |
| 162 |
Luxembourg |
514 |
| 163 |
Cyprus |
498 |
| 164 |
Solomon Islands |
422 |
| 165 |
Equatorial Guinea |
404 |
| 166 |
Faroe Islands |
371 |
| 167 |
Mauritius |
332 |
| 168 |
Cabo Verde |
305 |
| 169 |
Qatar |
286 |
| 170 |
Suriname |
276 |
| 171 |
Trinidad and Tobago |
208 |
| 172 |
Samoa |
189 |
| 173 |
Sao Tome and Principe |
166 |
| 174 |
Isle of Man |
152 |
| 175 |
Tonga |
135 |
| 176 |
Kiribati |
131 |
| 177 |
French Polynesia |
116 |
| 178 |
Dominica |
97 |
| 179 |
Andorra |
72 |
| 180 |
Guam |
62 |
| 181 |
Brunei Darussalam |
52 |
| 182 |
Bahamas, The |
50 |
| 183 |
Barbados |
39 |
| 184 |
St. Lucia |
38 |
| 185 |
Antigua and Barbuda |
35 |
| 186 |
Malta |
32 |
| 187 |
Bahrain |
31 |
| 188 |
Grenada |
31 |
| 189 |
Marshall Islands |
27 |
| 190 |
St. Vincent and the Grenadines |
27 |
| 191 |
British Virgin Islands |
27 |
| 192 |
St. Kitts and Nevis |
23 |
| 193 |
Maldives |
23 |
| 194 |
Liechtenstein |
20 |
| 195 |
Micronesia, Fed. Sts. |
19 |
| 196 |
Palau |
17 |
| 197 |
Hong Kong SAR, China |
15 |
| 198 |
Virgin Islands (U.S.) |
13 |
| 199 |
American Samoa |
11 |
| 200 |
Cayman Islands |
10 |
| 201 |
San Marino |
9 |
| 202 |
Aruba |
8 |
| 203 |
Tuvalu |
7 |
| 204 |
Seychelles |
6 |
| 205 |
Turks and Caicos Islands |
4 |
| 206 |
Singapore |
3 |
| 207 |
Northern Mariana Islands |
2 |
| 208 |
Nauru |
2 |
| 209 |
Bermuda |
1 |
China even has more agricultural land than larger countries like Russia (833,000 sq. mi) and Canada (220,000) owing to those countries’ vast frozen and tundra geographies.
However, climate change is likely to change the landscape of global agriculture, as new northern regions become more hospitable for agriculture.
The United States (1.6 million), Australia (1.4 million), and Brazil (914,000) round out the top five countries worldwide. Each of these countries specializes in different crops.
For example, the U.S. is the world’s largest producer of corn, while Brazil is the top grower of both soybeans and sugarcane.
Meanwhile, Australia has overcome its mostly arid geography to become a major wheat and cereals grower, rivaling major producers like India (689,000) and Ukraine (160,000).
African countries make up nearly half of the top 50 countries worldwide by square mileage of agricultural land area. They’re led by larger countries like Sudan (435,000), South Africa (372,000), and Nigeria (268,000).
As with peers in Eurasia and the Americas, African agriculture is increasingly facing challenges from climate change.
In particular, the growing desertification problem is reducing countries’ agricultural land, especially in the Sahel region, as temperatures rise and soil becomes less fertile for growing crops. Over-farming and over-grazing are exacerbating regional soil erosion and deepening desertification.
If you enjoyed today’s post, check out Which Economies Have the Largest Ecological Footprints? on Voronoi, the new app from Visual Capitalist.