GlobalStatsX

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GlobalStatsX

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📊 Daily global stats & insight | 📚 Learn something new every day | 🌏 Explore your world

Katılım Aralık 2022
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🌍 Largest Jaguar Population by Country 1. 🇧🇷 Brazil — 86,800 2. 🇵🇪 Peru — 22,000 3. 🇺🇸 United States — 15,000 4. 🇨🇴 Colombia — 15,000 5. 🇻🇪 Venezuela — 9,800 6. 🇲🇽 Mexico — 4,800 7. 🇵🇦 Panama — 4,000 8. 🇧🇴 Bolivia — 2,500 9. 🇪🇨 Ecuador — 2,000 10. 🇳🇮 Nicaragua — 1,350 11. 🇭🇳 Honduras — 1,200 12. 🇬🇾 Guyana — 950 13. 🇧🇿 Belize — 900 14. 🇨🇷 Costa Rica — 852 15. 🇬🇹 Guatemala — 600 16. 🇸🇷 Suriname — 455 17. 🇬🇫 French Guiana — 380 18. 🇦🇷 Argentina — 220 19. 🇵🇾 Paraguay — 100 📌 Source: World Population Review
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🌍 Top 30 Countries with the Highest Mosquito Species Diversity (Number of Mosquito Species) 1. 🇧🇷 Brazil ➜ 447 2. 🇮🇩 Indonesia ➜ 439 3. 🇲🇾 Malaysia ➜ 415 4. 🇹🇭 Thailand ➜ 379 5. 🇮🇳 India ➜ 338 6. 🇵🇭 Philippines ➜ 294 7. 🇵🇦 Panama ➜ 264 8. 🇨🇴 Colombia ➜ 251 9. 🇨🇩 DR Congo ➜ 248 10. 🇨🇳 China ➜ 238 11. 🇻🇪 Venezuela ➜ 238 12. 🇦🇺 Australia ➜ 231 13. 🇬🇫 French Guiana ➜ 224 14. 🇺🇬 Uganda ➜ 216 15. 🇲🇽 Mexico ➜ 211 16. 🇰🇪 Kenya ➜ 203 17. 🇵🇬 Papua New Guinea ➜ 187 18. 🇦🇷 Argentina ➜ 183 19. 🇿🇦 South Africa ➜ 178 20. 🇺🇸 United States ➜ 175 21. 🇨🇲 Cameroon ➜ 172 22. 🇳🇵 Nepal ➜ 172 23. 🇸🇷 Suriname ➜ 161 24. 🇳🇬 Nigeria ➜ 159 25. 🇧🇴 Bolivia ➜ 157 26. 🇨🇷 Costa Rica ➜ 154 27. 🇲🇬 Madagascar ➜ 148 28. 🇻🇳 Vietnam ➜ 147 29. 🇦🇴 Angola ➜ 140 30. 🇹🇿 Tanzania ➜ 138 📊 Source: World Population Review
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🇩🇪 Germany Net Migration (1960–2025) 👥 1960 ➜ +212,666 👥 1965 ➜ +338,258 👥 1970 ➜ -273,498 👥 1975 ➜ -207,740 👥 1980 ➜ +324,203 👥 1985 ➜ +103,556 👥 1990 ➜ +679,702 👥 1995 ➜ +398,077 👥 2000 ➜ +174,594 👥 2005 ➜ +81,351 👥 2010 ➜ +130,116 👥 2015 ➜ +1,175,283 👥 2020 ➜ +203,468 👥 2021 ➜ +310,264 👥 2022 ➜ +981,552 👥 2023 ➜ +609,553 👥 2024 ➜ +36,954 👥 2025 ➜ -334,072 📊 Source: World Bank ℹ️ Note: Net migration is the net total of migrants during the period, that is, the number of immigrants minus the number of emigrants, including both citizens and noncitizens.
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🔵🔴 Paris Saint-Germain’s All-Time Top Goalscorers (as of May 2026) 1. 🇫🇷 Kylian Mbappé ➜ 256 goals (308 apps) 2. 🇺🇾 Edinson Cavani ➜ 200 goals (301 apps) 3. 🇸🇪 Zlatan Ibrahimović ➜ 156 goals (180 apps) 4. 🇧🇷 Neymar ➜ 118 goals (173 apps) 5. 🇵🇹 Pauleta ➜ 109 goals (211 apps) 6. 🇫🇷 Dominique Rocheteau ➜ 100 goals (255 apps) 7. 🇩🇿 Mustapha Dahleb ➜ 98 goals (309 apps) 8. 🇨🇬 François M'Pelé ➜ 94 goals (216 apps) 9. 🇦🇷 Ángel Di María ➜ 92 goals (295 apps) 10. 🇧🇦 Safet Sušić ➜ 85 goals (345 apps) 11. 🇧🇷 Raí ➜ 72 goals (215 apps) 12. 🇦🇷 Carlos Bianchi ➜ 71 goals (80 apps) 13. 🇫🇷 Ousmane Dembélé ➜ 60 goals (133 apps) 14. 🇫🇷 Guillaume Hoarau ➜ 57 goals (161 apps) 15. 🇱🇷 George Weah ➜ 55 goals (138 apps) 16. 🇧🇷 Nenê ➜ 48 goals (112 apps) 17. 🇧🇷 Lucas Moura ➜ 46 goals (229 apps) 18. 🇵🇹 Gonçalo Ramos ➜ 45 goals (129 apps) 19. 🇦🇷 Javier Pastore ➜ 45 goals (269 apps) 20. 🇫🇷 David Ginola ➜ 44 goals (158 apps) 21. 🇹🇩 Nambatingue Toko ➜ 43 goals (171 apps) 22. 🇧🇷 Marquinhos ➜ 43 goals (521 apps) 23. 🇫🇷 Luis Fernandez ➜ 39 goals (273 apps) 24. 🇦🇷 Mauro Icardi ➜ 38 goals (92 apps) 25. 🇫🇷 Bradley Barcola ➜ 38 goals (150 apps) 📊 Source: Transfermarkt
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🟡⚫ Borussia Dortmund’s All-Time Top Goalscorers (as of May 2026) 1. 🇩🇪 Adi Preißler ➜ 177 goals (278 apps) 2. 🇩🇪 Marco Reus ➜ 170 goals (429 apps) 3. 🇩🇪 Manfred Burgsmüller ➜ 158 goals (252 apps) 4. 🇩🇪 Michael Zorc ➜ 158 goals (572 apps) 5. 🇩🇪 Timo Konietzka ➜ 155 goals (198 apps) 6. 🇩🇪 Lothar Emmerich ➜ 148 goals (249 apps) 7. 🇩🇪 Jürgen Schütz ➜ 145 goals (215 apps) 8. 🇬🇦 Pierre-Emerick Aubameyang ➜ 141 goals (213 apps) 9. 🇩🇪 Alfred Niepieklo ➜ 126 goals (201 apps) 10. 🇩🇪 Alfred Kelbassa ➜ 123 goals (218 apps) 11. 🇨🇭 Stéphane Chapuisat ➜ 123 goals (284 apps) 12. 🇵🇱 Robert Lewandowski ➜ 103 goals (187 apps) 13. 🇩🇪 Reinhold Wosab ➜ 94 goals (276 apps) 14. 🇩🇪 Aki Schmidt ➜ 91 goals (331 apps) 15. 🇩🇪 Andreas Möller ➜ 88 goals (301 apps) 16. 🇳🇴 Erling Haaland ➜ 86 goals (89 apps) 17. 🇨🇿 Jan Koller ➜ 79 goals (184 apps) 18. 🇩🇪 Lars Ricken ➜ 69 goals (407 apps) 19. 🇩🇪 Edmond Kasperski ➜ 66 goals (136 apps) 20. 🇩🇪 Frank Mill ➜ 66 goals (227 apps) 21. 🇯🇵 Shinji Kagawa ➜ 60 goals (216 apps) 22. 🇬🇳 Serhou Guirassy ➜ 59 goals (95 apps) 23. 🇩🇪 Julian Brandt ➜ 57 goals (306 apps) 24. 🇩🇪 Heiko Herrlich ➜ 56 goals (183 apps) 25. 🇧🇷 Ewerthon ➜ 54 goals (154 apps) 📊 Source: Transfermarkt
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🌍 Best Places to Visit in Europe for 2026 1. 🇬🇧 Scottish Highlands, United Kingdom 2. 🇮🇹 Rome, Italy 3. 🇮🇹 Venice, Italy 4. 🇫🇷 French Alps, France 5. 🇬🇧 London, United Kingdom 6. 🇮🇹 Florence, Italy 7. 🇫🇷 Paris, France 8. 🇪🇸 Barcelona, Spain 9. 🇳🇱 Amsterdam, Netherlands 10. 🇧🇪 Bruges, Belgium 11. 🇵🇹 Algarve, Portugal 12. 🇬🇷 Athens, Greece 13. 🇨🇿 Prague, Czechia 14. 🇫🇮 Lapland, Finland 15. 🇨🇭 Swiss Alps, Switzerland 16. 🇮🇹 Dolomites, Italy 17. 🇬🇷 Santorini, Greece 18. 🇮🇹 Amalfi Coast, Italy 19. 🇦🇹 Vienna, Austria 20. 🇪🇸 Seville, Spain 21. 🇭🇷 Split, Croatia 22. 🇭🇺 Budapest, Hungary 23. 🇵🇹 Porto, Portugal 24. 🇬🇧 Edinburgh, United Kingdom 25. 🇪🇸 Madrid, Spain 26. 🇸🇪 Stockholm, Sweden 27. 🇵🇹 Lisbon, Portugal 28. 🇨🇾 Cyprus 29. 🇮🇪 Dublin, Ireland 30. 🇩🇰 Faroe Islands, Denmark 📊 Source: U.S. News & World Report
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🛢️ Largest Oil & Gas Companies by Market Capitalization (15 May 2026) 1. 🇸🇦 Saudi Aramco ➜ $1.785T 2. 🇺🇸 Exxon Mobil ➜ $633.26B 3. 🇺🇸 Chevron ➜ $371.71B 4. 🇨🇳 PetroChina ➜ $254.57B 5. 🇬🇧 Shell ➜ $235.36B 6. 🇫🇷 TotalEnergies ➜ $203.36B 7. 🇨🇳 CNOOC ➜ $160.39B 8. 🇺🇸 ConocoPhillips ➜ $144.94B 9. 🇧🇷 Petrobras ➜ $127.46B 10. 🇨🇦 Enbridge ➜ $122.76B 11. 🇬🇧 BP ➜ $113.60B 12. 🇺🇸 Southern Company ➜ $105.60B 13. 🇨🇦 Canadian Natural Resources ➜ $99.21B 14. 🇺🇸 Duke Energy ➜ $96.91B 15. 🇳🇴 Equinor ➜ $95.96B 16. 🇺🇸 Williams Companies ➜ $95.01B 17. 🇨🇳 Sinopec ➜ $91.09B 18. 🇺🇸 Enterprise Products ➜ $84.87B 19. 🇺🇸 SLB (Schlumberger) ➜ $83.34B 20. 🇮🇹 ENI ➜ $81.34B 21. 🇨🇦 Suncor Energy ➜ $78.86B 22. 🇺🇸 Kinder Morgan ➜ $74.30B 23. 🇺🇸 Valero Energy ➜ $72.68B 24. 🇺🇸 Marathon Petroleum ➜ $72.63B 25. 🇺🇸 EOG Resources ➜ $72.43B 📊 Source: CompaniesMarketCap
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🇳🇱 Netherlands’ Inflation History (1960–2024) 📈 1960 ➜ 2.3% 📈 1965 ➜ 3.9% 📈 1970 ➜ 3.7% 📈 1975 ➜ 10.2% 📈 1980 ➜ 6.5% 📈 1985 ➜ 2.3% 📈 1990 ➜ 2.5% 📈 1995 ➜ 1.9% 📈 2000 ➜ 2.4% 📈 2005 ➜ 1.7% 📈 2010 ➜ 1.3% 📈 2011 ➜ 2.3% 📈 2012 ➜ 2.5% 📈 2013 ➜ 2.5% 📈 2014 ➜ 1.0% 📈 2015 ➜ 0.6% 📈 2016 ➜ 0.3% 📈 2017 ➜ 1.4% 📈 2018 ➜ 1.7% 📈 2019 ➜ 2.6% 📈 2020 ➜ 1.3% 📈 2021 ➜ 2.7% 📈 2022 ➜ 10.0% 📈 2023 ➜ 3.8% 📈 2024 ➜ 3.3% 📊 Source: World Bank 📝 Note: Figures based on consumer prices (annual %).
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🌍 Most Populous Countries in the World 2026 1. 🇮🇳 India ➜ 1.47B 2. 🇨🇳 China ➜ 1.41B 3. 🇺🇸 United States ➜ 349.0M 4. 🇮🇩 Indonesia ➜ 287.8M 5. 🇵🇰 Pakistan ➜ 259.3M 6. 🇳🇬 Nigeria ➜ 242.4M 7. 🇧🇷 Brazil ➜ 213.5M 8. 🇧🇩 Bangladesh ➜ 177.8M 9. 🇷🇺 Russia ➜ 143.3M 10. 🇪🇹 Ethiopia ➜ 138.9M 11. 🇲🇽 Mexico ➜ 132.9M 12. 🇯🇵 Japan ➜ 122.4M 13. 🇪🇬 Egypt ➜ 120.1M 14. 🇵🇭 Philippines ➜ 117.7M 15. 🇨🇩 DR Congo ➜ 116.4M 16. 🇻🇳 Vietnam ➜ 102.1M 17. 🇮🇷 Iran ➜ 93.1M 18. 🇹🇷 Türkiye ➜ 87.9M 19. 🇩🇪 Germany ➜ 83.6M 20. 🇹🇿 Tanzania ➜ 72.5M 21. 🇹🇭 Thailand ➜ 71.5M 22. 🇬🇧 United Kingdom ➜ 69.9M 23. 🇫🇷 France ➜ 66.7M 24. 🇿🇦 South Africa ➜ 65.4M 25. 🇮🇹 Italy ➜ 58.9M 26. 🇰🇪 Kenya ➜ 58.6M 27. 🇲🇲 Myanmar ➜ 55.1M 28. 🇨🇴 Colombia ➜ 53.9M 29. 🇸🇩 Sudan ➜ 53.2M 30. 🇺🇬 Uganda ➜ 52.7M 📊 Source: World Population Review
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🌍 Which country is the largest by total area? 💬 Vote below 👇
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🍐 “Pear” in 30 Different Languages 🇺🇸 English ➜ Pear 🇪🇸 Spanish ➜ Pera 🇫🇷 French ➜ Poire 🇩🇪 German ➜ Birne 🇮🇹 Italian ➜ Pera 🇵🇹 Portuguese ➜ Pera 🇹🇷 Turkish ➜ Armut 🇸🇦 Arabic ➜ كمثرى 🇷🇺 Russian ➜ Груша 🇨🇳 Chinese ➜ 梨 🇯🇵 Japanese ➜ 梨 🇰🇷 Korean ➜ 배 🇬🇷 Greek ➜ Αχλάδι 🇳🇱 Dutch ➜ Peer 🇸🇪 Swedish ➜ Päron 🇩🇰 Danish ➜ Pære 🇫🇮 Finnish ➜ Päärynä 🇵🇱 Polish ➜ Gruszka 🇨🇿 Czech ➜ Hruška 🇭🇺 Hungarian ➜ Körte 🇷🇴 Romanian ➜ Pară 🇧🇬 Bulgarian ➜ Круша 🇻🇳 Vietnamese ➜ Lê 🇹🇭 Thai ➜ ลูกแพร์ 🇦🇱 Albanian ➜ Dardhë 🇮🇷 Persian ➜ گلابی 🇮🇳 Hindi ➜ नाशपाती 🇮🇩 Indonesian ➜ Pir 🇵🇭 Filipino ➜ Peras 🇲🇾 Malay ➜ Pir 💬 How do you say “Pear” in your language? 👇
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🇬🇧 United Kingdom’s Top Trading Partners (2024 Exports) 🇺🇸 United States ➜ $71.3B (13.9%) 🇨🇳 China ➜ $46.6B (9.1%) 🇩🇪 Germany ➜ $38.8B (7.6%) 🇳🇱 Netherlands ➜ $33.7B (6.6%) 🇮🇪 Ireland ➜ $29.3B (5.7%) 🇨🇭 Switzerland ➜ $28.8B (5.6%) 🇫🇷 France ➜ $28.5B (5.6%) 🇧🇪 Belgium ➜ $21.6B (4.2%) 🇦🇪 United Arab Emirates ➜ $12.3B (2.4%) 🇭🇰 Hong Kong ➜ $11.9B (2.3%) 🇪🇸 Spain ➜ $11.9B (2.3%) 🇮🇹 Italy ➜ $11.2B (2.2%) 🇮🇳 India ➜ $8.7B (1.7%) 🇵🇱 Poland ➜ $8.4B (1.6%) 🇸🇬 Singapore ➜ $8.1B (1.6%) 🇹🇷 Türkiye ➜ $7.8B (1.5%) 🇯🇵 Japan ➜ $7.6B (1.5%) 🇨🇦 Canada ➜ $6.8B (1.3%) 🇸🇪 Sweden ➜ $6.2B (1.2%) 🇦🇺 Australia ➜ $5.6B (1.1%) 🇸🇦 Saudi Arabia ➜ $5.1B (1.0%) 🇰🇷 South Korea ➜ $4.8B (0.9%) 🇳🇴 Norway ➜ $4.1B (0.8%) 🇦🇿 Azerbaijan ➜ $3.8B (0.7%) 🇩🇰 Denmark ➜ $3.4B (0.7%) 📌 Note: In 2024, over four-fifths (83.1%) of the United Kingdom’s total export shipments were delivered to these top trading partners. 📊 Source: World’s Top Exports
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🌍 Which city has the highest population? 💬 Vote below 👇
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🇫🇷 Largest French Companies by Market Capitalization (14 May 2026) 1. 🇫🇷 LVMH ➜ $267.68B 2. 🇫🇷 L'Oréal ➜ $225.22B 3. 🇫🇷 TotalEnergies ➜ $203.20B 4. 🇫🇷 Hermès ➜ $196.39B 5. 🇫🇷 Schneider Electric ➜ $178.91B 6. 🇫🇷 Safran ➜ $138.36B 7. 🇫🇷 Air Liquide ➜ $121.41B 8. 🇫🇷 BNP Paribas ➜ $119.18B 9. 🇫🇷 Sanofi ➜ $102.48B 10. 🇫🇷 AXA ➜ $94.41B 11. 🇫🇷 EssilorLuxottica ➜ $93.51B 12. 🇫🇷 Dior ➜ $91.58B 13. 🇫🇷 Vinci ➜ $82.61B 14. 🇫🇷 ENGIE ➜ $81.67B 15. 🇫🇷 Crédit Agricole ➜ $61.05B 16. 🇫🇷 Orange ➜ $57.94B 17. 🇫🇷 Société Générale ➜ $57.89B 18. 🇫🇷 Thales ➜ $53.87B 19. 🇫🇷 Legrand ➜ $47.54B 20. 🇫🇷 Danone ➜ $46.55B 21. 🇫🇷 Compagnie de Saint-Gobain ➜ $43.85B 22. 🇫🇷 Kering ➜ $35.22B 23. 🇫🇷 Dassault Systèmes ➜ $30.28B 24. 🇫🇷 Veolia ➜ $29.83B 25. 🇫🇷 Michelin ➜ $26.35B 📊 Source: CompaniesMarketCap
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🔴 Manchester United’s Most Expensive Transfers All-Time (as of May 2026) 1. 🇫🇷 Paul Pogba ➜ €105.00M (Season 16/17) 2. 🇧🇷 Antony ➜ €95.00M (Season 22/23) 3. 🇬🇧 Harry Maguire ➜ €87.00M (Season 19/20) 4. 🇬🇧 Jadon Sancho ➜ €85.00M (Season 21/22) 5. 🇧🇪 Romelu Lukaku ➜ €84.70M (Season 17/18) 6. 🇩🇰 Rasmus Højlund ➜ €79.80M (Season 23/24) 7. 🇸🇮 Benjamin Šeško ➜ €76.50M (Season 25/26) 8. 🇨🇲 Bryan Mbeumo ➜ €75.00M (Season 25/26) 9. 🇦🇷 Ángel Di María ➜ €75.00M (Season 14/15) 10. 🇧🇷 Matheus Cunha ➜ €74.20M (Season 25/26) 11. 🇧🇷 Casemiro ➜ €70.65M (Season 22/23) 12. 🇬🇧 Mason Mount ➜ €67.70M (Season 23/24) 13. 🇵🇹 Bruno Fernandes ➜ €65.00M (Season 19/20) 14. 🇫🇷 Leny Yoro ➜ €62.00M (Season 24/25) 15. 🇫🇷 Anthony Martial ➜ €60.00M (Season 15/16) 16. 🇧🇷 Fred ➜ €59.00M (Season 18/19) 17. 🇦🇷 Lisandro Martínez ➜ €57.37M (Season 22/23) 18. 🇨🇩 Aaron Wan-Bissaka ➜ €55.00M (Season 19/20) 19. 🇨🇲 André Onana ➜ €50.20M (Season 23/24) 20. 🇺🇾 Manuel Ugarte ➜ €50.00M (Season 24/25) 21. 🇬🇧 Rio Ferdinand ➜ €46.00M (Season 02/03) 22. 🇳🇱 Matthijs de Ligt ➜ €45.00M (Season 24/25) 23. 🇪🇸 Juan Mata ➜ €44.73M (Season 13/14) 24. 🇷🇸 Nemanja Matić ➜ €44.70M (Season 17/18) 25. 🇦🇷 Juan Sebastián Verón ➜ €42.60M (Season 01/02) 📊 Source: Transfermarkt
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🌍 Which country is larger by land area? 💬 Vote below 👇
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🇺🇸 United States vs 🇨🇳 China — Economic Comparison by Year (GDP per Capita, 1980–2026) ➜ 1980 🇺🇸 United States ➜ $12,553 🇨🇳 China ➜ $308 ➜ 1990 🇺🇸 United States ➜ $23,848 🇨🇳 China ➜ $348 ➜ 2000 🇺🇸 United States ➜ $36,313 🇨🇳 China ➜ $963 ➜ 2005 🇺🇸 United States ➜ $44,034 🇨🇳 China ➜ $1,779 ➜ 2010 🇺🇸 United States ➜ $48,586 🇨🇳 China ➜ $4,578 ➜ 2015 🇺🇸 United States ➜ $57,007 🇨🇳 China ➜ $8,173 ➜ 2020 🇺🇸 United States ➜ $64,518 🇨🇳 China ➜ $10,700 ➜ 2025 🇺🇸 United States ➜ $89,991 🇨🇳 China ➜ $13,968 ➜ 2026 (est.) 🇺🇸 United States ➜ $94,430 🇨🇳 China ➜ $14,874 📊 Source: IMF (WEO April 2026) ℹ️ Note: Figures represent approximate values; minor differences may occur.
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📈 S&P 500 Yearly Performance (2000–2025) 🔴 2000 ➜ −10.14% 🔴 2001 ➜ −13.04% 🔴 2002 ➜ −23.37% 🟢 2003 ➜ +26.38% 🟢 2004 ➜ +8.99% 🟢 2005 ➜ +3.00% 🟢 2006 ➜ +13.62% 🟢 2007 ➜ +3.53% 🔴 2008 ➜ −38.49% 🟢 2009 ➜ +23.45% 🟢 2010 ➜ +12.78% 🟢 2011 ➜ −0.00% 🟢 2012 ➜ +13.41% 🟢 2013 ➜ +29.60% 🟢 2014 ➜ +11.39% 🔴 2015 ➜ −0.73% 🟢 2016 ➜ +9.54% 🟢 2017 ➜ +19.42% 🔴 2018 ➜ −6.24% 🟢 2019 ➜ +28.88% 🟢 2020 ➜ +16.26% 🟢 2021 ➜ +26.89% 🔴 2022 ➜ −19.44% 🟢 2023 ➜ +24.23% 🟢 2024 ➜ +23.31% 🟢 2025 ➜ +16.39% 📊 Source: Wikipedia
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