Global Statistics (@g_statistics) 's Twitter Profile
Global Statistics

@g_statistics

Population โ€ข Economy โ€ข History โ€ข Weird Facts
Making the world make sense, one number at a time ๐Ÿ“ˆ๐ŸŒŽ
DM for credits/submissions!โ†ฉ๏ธ

ID: 2012429566476783616

calendar_today17-01-2026 07:39:41

689 Tweet

224 Takipรงi

108 Takip Edilen

Global Statistics (@g_statistics) 's Twitter Profile Photo

World's Largest Hotel Chains by Number of Rooms:โคต๏ธ 1. ๐Ÿ‡บ๐Ÿ‡ธ Marriott โ€” 1,560,687 2. ๐Ÿ‡จ๐Ÿ‡ณ Jin Jiang โ€” 1,342,161 3. ๐Ÿ‡บ๐Ÿ‡ธ Hilton โ€” 1,182,937 4. ๐Ÿ‡ฌ๐Ÿ‡ง IHG H&R โ€” 946,203 5. ๐Ÿ‡จ๐Ÿ‡ณ H World Group โ€” 912,444 6. ๐Ÿ‡บ๐Ÿ‡ธ Wyndham H&R โ€” 871,794 7. ๐Ÿ‡ซ๐Ÿ‡ท Accor โ€” 821,000 8. ๐Ÿ‡บ๐Ÿ‡ธ Choice Hotels โ€” 632,986 9. ๐Ÿ‡จ๐Ÿ‡ณ BTG

World's Largest Hotel Chains by Number of Rooms:โคต๏ธ

1. ๐Ÿ‡บ๐Ÿ‡ธ Marriott โ€” 1,560,687
2. ๐Ÿ‡จ๐Ÿ‡ณ Jin Jiang โ€” 1,342,161
3. ๐Ÿ‡บ๐Ÿ‡ธ Hilton โ€” 1,182,937
4. ๐Ÿ‡ฌ๐Ÿ‡ง IHG H&R โ€” 946,203
5. ๐Ÿ‡จ๐Ÿ‡ณ H World Group โ€” 912,444
6. ๐Ÿ‡บ๐Ÿ‡ธ Wyndham H&R โ€” 871,794
7. ๐Ÿ‡ซ๐Ÿ‡ท Accor โ€” 821,000
8. ๐Ÿ‡บ๐Ÿ‡ธ Choice Hotels โ€” 632,986
9. ๐Ÿ‡จ๐Ÿ‡ณ BTG
Global Statistics (@g_statistics) 's Twitter Profile Photo

Top 15 Best-Selling TV Brands Worldwide:โคต๏ธ 1. ๐Ÿ‡ฐ๐Ÿ‡ท Samsung โ€” 19% 2. ๐Ÿ‡จ๐Ÿ‡ณ TCL โ€” 14% 3. ๐Ÿ‡จ๐Ÿ‡ณ Hisense โ€” 13% 4. ๐Ÿ‡ฐ๐Ÿ‡ท LG โ€” 11% 5. ๐Ÿ‡จ๐Ÿ‡ณ Xiaomi โ€” 6% 6. ๐Ÿ‡จ๐Ÿ‡ณ Skyworth โ€” 4% 7. ๐Ÿ‡ฏ๐Ÿ‡ต Sony โ€” 3% 8. ๐Ÿ‡บ๐Ÿ‡ธ Vizio โ€” 2% 9. ๐Ÿ‡ณ๐Ÿ‡ฑ Philips โ€” 1.9% 10. ๐Ÿ‡ฏ๐Ÿ‡ต Sharp โ€” 1.8% 11. ๐Ÿ‡ฏ๐Ÿ‡ต Panasonic โ€” 1.5% 12. ๐Ÿ‡จ๐Ÿ‡ณ Haier โ€” 1.4% 13. ๐Ÿ‡จ๐Ÿ‡ณ

Top 15 Best-Selling TV Brands Worldwide:โคต๏ธ

1. ๐Ÿ‡ฐ๐Ÿ‡ท Samsung โ€” 19%
2. ๐Ÿ‡จ๐Ÿ‡ณ TCL โ€” 14%
3. ๐Ÿ‡จ๐Ÿ‡ณ Hisense โ€” 13%
4. ๐Ÿ‡ฐ๐Ÿ‡ท LG โ€” 11%
5. ๐Ÿ‡จ๐Ÿ‡ณ Xiaomi โ€” 6%
6. ๐Ÿ‡จ๐Ÿ‡ณ Skyworth โ€” 4%
7. ๐Ÿ‡ฏ๐Ÿ‡ต Sony โ€” 3%
8. ๐Ÿ‡บ๐Ÿ‡ธ Vizio โ€” 2%
9. ๐Ÿ‡ณ๐Ÿ‡ฑ Philips โ€” 1.9%
10. ๐Ÿ‡ฏ๐Ÿ‡ต Sharp โ€” 1.8%
11. ๐Ÿ‡ฏ๐Ÿ‡ต Panasonic โ€” 1.5%
12. ๐Ÿ‡จ๐Ÿ‡ณ Haier โ€” 1.4%
13. ๐Ÿ‡จ๐Ÿ‡ณ
Global Statistics (@g_statistics) 's Twitter Profile Photo

Europe's Biggest Economies in 2026๐Ÿ‡ช๐Ÿ‡บ (Nominal GDP (USD) based on IMF Projections):โคต๏ธ 1. ๐Ÿ‡ฉ๐Ÿ‡ช Germany โ€” $5,328B 2. ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom โ€” $4,226B 3. ๐Ÿ‡ซ๐Ÿ‡ท France โ€” $3,559B 4. ๐Ÿ‡ฎ๐Ÿ‡น Italy โ€” $2,702B 5. ๐Ÿ‡ท๐Ÿ‡บ Russia โ€” $2,509B 6. ๐Ÿ‡ช๐Ÿ‡ธ Spain โ€” $2,042B 7. ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands โ€” $1,413B 8. ๐Ÿ‡ต๐Ÿ‡ฑ Poland โ€”

Europe's Biggest Economies in 2026๐Ÿ‡ช๐Ÿ‡บ
(Nominal GDP (USD) based on IMF Projections):โคต๏ธ

1. ๐Ÿ‡ฉ๐Ÿ‡ช Germany โ€” $5,328B
2. ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom โ€” $4,226B
3. ๐Ÿ‡ซ๐Ÿ‡ท France โ€” $3,559B
4. ๐Ÿ‡ฎ๐Ÿ‡น Italy โ€” $2,702B
5. ๐Ÿ‡ท๐Ÿ‡บ Russia โ€” $2,509B
6. ๐Ÿ‡ช๐Ÿ‡ธ Spain โ€” $2,042B
7. ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands โ€” $1,413B
8. ๐Ÿ‡ต๐Ÿ‡ฑ Poland โ€”
Global Statistics (@g_statistics) 's Twitter Profile Photo

Most Economically Stable Countries in the World ๐ŸŒŽ Ranked Top 30 (Global Stability Index Style)โคต๏ธ 1. ๐Ÿ‡ฆ๐Ÿ‡ช UAE โ€” (Score: 100) 2. ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 3. ๐Ÿ‡ฉ๐Ÿ‡ช Germany 4. ๐Ÿ‡จ๐Ÿ‡ฆ Canada 5. ๐Ÿ‡ฏ๐Ÿ‡ต Japan 6. ๐Ÿ‡ฆ๐Ÿ‡บ Australia 7. ๐Ÿ‡ธ๐Ÿ‡ช Sweden 8. ๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark 9. ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 10. ๐Ÿ‡ธ๐Ÿ‡ฆ Saudi Arabia 11. ๐Ÿ‡ณ๐Ÿ‡ด Norway 12.

Most Economically Stable Countries in the World ๐ŸŒŽ 
Ranked Top 30 (Global Stability Index Style)โคต๏ธ

1. ๐Ÿ‡ฆ๐Ÿ‡ช UAE โ€” (Score: 100)
2. ๐Ÿ‡จ๐Ÿ‡ญ Switzerland
3. ๐Ÿ‡ฉ๐Ÿ‡ช Germany
4. ๐Ÿ‡จ๐Ÿ‡ฆ Canada
5. ๐Ÿ‡ฏ๐Ÿ‡ต Japan
6. ๐Ÿ‡ฆ๐Ÿ‡บ Australia
7. ๐Ÿ‡ธ๐Ÿ‡ช Sweden
8. ๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark
9. ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands
10. ๐Ÿ‡ธ๐Ÿ‡ฆ Saudi Arabia
11. ๐Ÿ‡ณ๐Ÿ‡ด Norway
12.
Global Statistics (@g_statistics) 's Twitter Profile Photo

Potato Exports (Top 20 Countries) Annual Export Volume (tons):โคต๏ธ 1. ๐Ÿ‡ซ๐Ÿ‡ท France โ€” 3,346,882 t 2. ๐Ÿ‡ฉ๐Ÿ‡ช Germany โ€” 2,667,721 t 3. ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands โ€” 2,526,417 t 4. ๐Ÿ‡ง๐Ÿ‡ช Belgium โ€” 1,014,538 t 5. ๐Ÿ‡ต๐Ÿ‡ฐ Pakistan โ€” 752,882 t 6. ๐Ÿ‡ช๐Ÿ‡ฌ Egypt โ€” 646,158 t 7. ๐Ÿ‡จ๐Ÿ‡ณ China โ€” 626,688 t 8. ๐Ÿ‡บ๐Ÿ‡ธ United States โ€”

Potato Exports (Top 20 Countries)
Annual Export Volume (tons):โคต๏ธ

1. ๐Ÿ‡ซ๐Ÿ‡ท France โ€” 3,346,882 t
2. ๐Ÿ‡ฉ๐Ÿ‡ช Germany โ€” 2,667,721 t
3. ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands โ€” 2,526,417 t
4. ๐Ÿ‡ง๐Ÿ‡ช Belgium โ€” 1,014,538 t
5. ๐Ÿ‡ต๐Ÿ‡ฐ Pakistan โ€” 752,882 t
6. ๐Ÿ‡ช๐Ÿ‡ฌ Egypt โ€” 646,158 t
7. ๐Ÿ‡จ๐Ÿ‡ณ China โ€” 626,688 t
8. ๐Ÿ‡บ๐Ÿ‡ธ United States โ€”
Global Statistics (@g_statistics) 's Twitter Profile Photo

Countries Where Capital Isn't the Biggest City ๐ŸŒ† [Political Capitals vs. Economic Mega Cities]โคต๏ธ 1. ๐Ÿ‡บ๐Ÿ‡ธ USA โ€” NYC > Washington 2. ๐Ÿ‡จ๐Ÿ‡ฆ Canada โ€” Toronto > Ottawa 3. ๐Ÿ‡ฆ๐Ÿ‡บ Australia โ€” Sydney > Canberra 4. ๐Ÿ‡ง๐Ÿ‡ท Brazil โ€” Sรฃo Paulo > Brasilia 5. ๐Ÿ‡น๐Ÿ‡ท Turkey โ€” Istanbul > Ankara 6. ๐Ÿ‡ณ๐Ÿ‡ฌ Nigeria

Countries Where Capital Isn't the Biggest City ๐ŸŒ† 
[Political Capitals vs. Economic Mega Cities]โคต๏ธ

1. ๐Ÿ‡บ๐Ÿ‡ธ USA โ€” NYC > Washington
2. ๐Ÿ‡จ๐Ÿ‡ฆ Canada โ€” Toronto > Ottawa
3. ๐Ÿ‡ฆ๐Ÿ‡บ Australia โ€” Sydney > Canberra
4. ๐Ÿ‡ง๐Ÿ‡ท Brazil โ€” Sรฃo Paulo > Brasilia
5. ๐Ÿ‡น๐Ÿ‡ท Turkey โ€” Istanbul > Ankara
6. ๐Ÿ‡ณ๐Ÿ‡ฌ Nigeria
Global Statistics (@g_statistics) 's Twitter Profile Photo

Top 50 Countries by Civilian Guns per 100 People!โคต๏ธ Number of civilian guns per 100 persons (Small Arms Survey 2017) 1. ๐Ÿ‡บ๐Ÿ‡ธ USA โ€” 120.5 2. ๐Ÿ‡พ๐Ÿ‡ช Yemen โ€” 52.8 3. ๐Ÿ‡ฒ๐Ÿ‡ช Montenegro โ€” 39.1 4. ๐Ÿ‡ท๐Ÿ‡ธ Serbia โ€” 39.1 5. ๐Ÿ‡จ๐Ÿ‡ฆ Canada โ€” 34.7 6. ๐Ÿ‡บ๐Ÿ‡พ Uruguay โ€” 34.7 7. ๐Ÿ‡จ๐Ÿ‡พ Cyprus โ€” 34.0 8. ๐Ÿ‡ซ๐Ÿ‡ฎ Finland โ€”

Top 50 Countries by Civilian Guns per 100 People!โคต๏ธ

Number of civilian guns per 100 persons (Small Arms Survey 2017)

1. ๐Ÿ‡บ๐Ÿ‡ธ USA โ€” 120.5
2. ๐Ÿ‡พ๐Ÿ‡ช Yemen โ€” 52.8
3. ๐Ÿ‡ฒ๐Ÿ‡ช Montenegro โ€” 39.1
4. ๐Ÿ‡ท๐Ÿ‡ธ Serbia โ€” 39.1
5. ๐Ÿ‡จ๐Ÿ‡ฆ Canada โ€” 34.7
6. ๐Ÿ‡บ๐Ÿ‡พ Uruguay โ€” 34.7
7. ๐Ÿ‡จ๐Ÿ‡พ Cyprus โ€” 34.0
8. ๐Ÿ‡ซ๐Ÿ‡ฎ Finland โ€”
Global Statistics (@g_statistics) 's Twitter Profile Photo

NBA All-Time Assists Leaders (As of February 2026):โคต๏ธ 1. ๐Ÿ‡บ๐Ÿ‡ธ John Stockton โ€” 15,806 Assists 2. ๐Ÿ‡บ๐Ÿ‡ธ Chris Paul โ€” 12,552 Assists 3. ๐Ÿ‡บ๐Ÿ‡ธ Jason Kidd โ€” 12,091 Assists 4. ๐Ÿ‡บ๐Ÿ‡ธ LeBron James โ€” 11,826 Assists 5. ๐Ÿ‡จ๐Ÿ‡ฆ Steve Nash โ€” 10,335 Assists 6. ๐Ÿ‡บ๐Ÿ‡ธ Mark Jackson โ€” 10,334 Assists 7. ๐Ÿ‡บ๐Ÿ‡ธ Russell

NBA All-Time Assists Leaders (As of February 2026):โคต๏ธ

1. ๐Ÿ‡บ๐Ÿ‡ธ John Stockton โ€” 15,806 Assists
2. ๐Ÿ‡บ๐Ÿ‡ธ Chris Paul โ€” 12,552 Assists
3. ๐Ÿ‡บ๐Ÿ‡ธ Jason Kidd โ€” 12,091 Assists
4. ๐Ÿ‡บ๐Ÿ‡ธ LeBron James โ€” 11,826 Assists
5. ๐Ÿ‡จ๐Ÿ‡ฆ Steve Nash โ€” 10,335 Assists
6. ๐Ÿ‡บ๐Ÿ‡ธ Mark Jackson โ€” 10,334 Assists
7. ๐Ÿ‡บ๐Ÿ‡ธ Russell
Global Statistics (@g_statistics) 's Twitter Profile Photo

U.S. Life Expectancy at Birth State Rankings (Based on CDC / WPP 2024):โคต๏ธ 1. ๐Ÿ‡บ๐Ÿ‡ธ Hawaii โ€” 83.2 2. ๐Ÿ‡บ๐Ÿ‡ธ Massachusetts โ€” 82.9 3. ๐Ÿ‡บ๐Ÿ‡ธ Connecticut โ€” 82.5 4. ๐Ÿ‡บ๐Ÿ‡ธ New York โ€” 82.3 5. ๐Ÿ‡บ๐Ÿ‡ธ New Jersey โ€” 82.3 6. ๐Ÿ‡บ๐Ÿ‡ธ Minnesota โ€” 82.1 7. ๐Ÿ‡บ๐Ÿ‡ธ Rhode Island โ€” 81.8 8. ๐Ÿ‡บ๐Ÿ‡ธ New Hampshire โ€” 81.8 9. ๐Ÿ‡บ๐Ÿ‡ธ

U.S. Life Expectancy at Birth State Rankings (Based on CDC / WPP 2024):โคต๏ธ

1. ๐Ÿ‡บ๐Ÿ‡ธ Hawaii โ€” 83.2
2. ๐Ÿ‡บ๐Ÿ‡ธ Massachusetts โ€” 82.9
3. ๐Ÿ‡บ๐Ÿ‡ธ Connecticut โ€” 82.5
4. ๐Ÿ‡บ๐Ÿ‡ธ New York โ€” 82.3
5. ๐Ÿ‡บ๐Ÿ‡ธ New Jersey โ€” 82.3
6. ๐Ÿ‡บ๐Ÿ‡ธ Minnesota โ€” 82.1
7. ๐Ÿ‡บ๐Ÿ‡ธ Rhode Island โ€” 81.8
8. ๐Ÿ‡บ๐Ÿ‡ธ New Hampshire โ€” 81.8
9. ๐Ÿ‡บ๐Ÿ‡ธ
Global Statistics (@g_statistics) 's Twitter Profile Photo

Most Spoken Languages in the United States:โคต๏ธ Top 10 Languages by Speakers (Millions) 1. ๐Ÿ‡ฌ๐Ÿ‡ง English โ€” 241.03 M 2. ๐Ÿ‡ช๐Ÿ‡ธ Spanish โ€” 41.76 M 3. ๐Ÿ‡จ๐Ÿ‡ณ Chinese โ€” 3.49 M 4. ๐Ÿ‡ซ๐Ÿ‡ท French โ€” 2.10 M 5. ๐Ÿ‡ต๐Ÿ‡ญ Tagalog โ€” 1.76 M 6. ๐Ÿ‡ป๐Ÿ‡ณ Vietnamese โ€” 1.57 M 7. ๐Ÿ‡ธ๐Ÿ‡ฆ Arabic โ€” 1.26 M 8. ๐Ÿ‡ฐ๐Ÿ‡ท Korean โ€” 1.08 M 9. ๐Ÿ‡ท๐Ÿ‡บ

Most Spoken Languages in the United States:โคต๏ธ

Top 10 Languages by Speakers (Millions)

1. ๐Ÿ‡ฌ๐Ÿ‡ง English โ€” 241.03 M
2. ๐Ÿ‡ช๐Ÿ‡ธ Spanish โ€” 41.76 M
3. ๐Ÿ‡จ๐Ÿ‡ณ Chinese โ€” 3.49 M
4. ๐Ÿ‡ซ๐Ÿ‡ท French โ€” 2.10 M
5. ๐Ÿ‡ต๐Ÿ‡ญ Tagalog โ€” 1.76 M
6. ๐Ÿ‡ป๐Ÿ‡ณ Vietnamese โ€” 1.57 M
7. ๐Ÿ‡ธ๐Ÿ‡ฆ Arabic โ€” 1.26 M
8. ๐Ÿ‡ฐ๐Ÿ‡ท Korean โ€” 1.08 M
9. ๐Ÿ‡ท๐Ÿ‡บ
Global Statistics (@g_statistics) 's Twitter Profile Photo

Millionaires per 1,000 Adults โ€” Ranked:โคต๏ธ Top Countries with the Highest Millionaire Density (2025) 1. ๐Ÿ‡จ๐Ÿ‡ญ Switzerland โ€” 145.6 2. ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong โ€” 96.1 3. ๐Ÿ‡ฆ๐Ÿ‡บ Australia โ€” 85.2 4. ๐Ÿ‡บ๐Ÿ‡ธ United States โ€” 84.8 5. ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands โ€” 82.9 6. ๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark โ€” 74.6 7. ๐Ÿ‡ณ๐Ÿ‡ด Norway โ€” 74.5 8. ๐Ÿ‡ธ๐Ÿ‡ฌ

Millionaires per 1,000 Adults โ€” Ranked:โคต๏ธ

Top Countries with the Highest Millionaire Density (2025)

1. ๐Ÿ‡จ๐Ÿ‡ญ Switzerland โ€” 145.6
2. ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong โ€” 96.1
3. ๐Ÿ‡ฆ๐Ÿ‡บ Australia โ€” 85.2
4. ๐Ÿ‡บ๐Ÿ‡ธ United States โ€” 84.8
5. ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands โ€” 82.9
6. ๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark โ€” 74.6
7. ๐Ÿ‡ณ๐Ÿ‡ด Norway โ€” 74.5
8. ๐Ÿ‡ธ๐Ÿ‡ฌ
Global Statistics (@g_statistics) 's Twitter Profile Photo

Top 15 Most-Watched Netflix Movies๐ŸŽฅ (All-Time Global Popularity List)โคต๏ธ 1. ๐Ÿ‡ฐ๐Ÿ‡ท KPop Demon Hunters โ€” 325,100,000 views 2. ๐Ÿ‡บ๐Ÿ‡ธ Red Notice โ€” 230,900,000 views 3. ๐Ÿ‡บ๐Ÿ‡ธ Carry-On โ€” 172,100,000 views 4. ๐Ÿ‡บ๐Ÿ‡ธ Don't Look Up โ€” 171,400,000 views 5. ๐Ÿ‡บ๐Ÿ‡ธ The Adam Project โ€” 157,600,000 views 6.

Top 15 Most-Watched Netflix Movies๐ŸŽฅ 

(All-Time Global Popularity List)โคต๏ธ

1. ๐Ÿ‡ฐ๐Ÿ‡ท KPop Demon Hunters โ€” 325,100,000 views
2. ๐Ÿ‡บ๐Ÿ‡ธ Red Notice โ€” 230,900,000 views
3. ๐Ÿ‡บ๐Ÿ‡ธ Carry-On โ€” 172,100,000 views
4. ๐Ÿ‡บ๐Ÿ‡ธ Don't Look Up โ€” 171,400,000 views
5. ๐Ÿ‡บ๐Ÿ‡ธ The Adam Project โ€” 157,600,000 views
6.
Global Statistics (@g_statistics) 's Twitter Profile Photo

The World's Best-Selling Whiskies:โคต๏ธ Based on Number of 9L Cases Sold (2023 Data) 1. ๐Ÿ‡ฎ๐Ÿ‡ณ McDowell's Whisky โ€” 31.4M 2. ๐Ÿ‡ฎ๐Ÿ‡ณ Royal Stag โ€” 27.9M 3. ๐Ÿ‡ฎ๐Ÿ‡ณ Officer's Choice โ€” 23.4M 4. ๐Ÿ‡ฎ๐Ÿ‡ณ Imperial Blue โ€” 22.8M 5. ๐Ÿด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ Johnnie Walker โ€” 22.1M 6. ๐Ÿ‡บ๐Ÿ‡ธ Jim Beam โ€” 17.0M 7. ๐Ÿ‡ฏ๐Ÿ‡ต Suntory Kakubin โ€”

The World's Best-Selling Whiskies:โคต๏ธ

Based on Number of 9L Cases Sold (2023 Data)

1. ๐Ÿ‡ฎ๐Ÿ‡ณ McDowell's Whisky โ€” 31.4M
2. ๐Ÿ‡ฎ๐Ÿ‡ณ Royal Stag โ€” 27.9M
3. ๐Ÿ‡ฎ๐Ÿ‡ณ Officer's Choice โ€” 23.4M
4. ๐Ÿ‡ฎ๐Ÿ‡ณ Imperial Blue โ€” 22.8M
5. ๐Ÿด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ Johnnie Walker โ€” 22.1M
6. ๐Ÿ‡บ๐Ÿ‡ธ Jim Beam โ€” 17.0M
7. ๐Ÿ‡ฏ๐Ÿ‡ต Suntory Kakubin โ€”
Global Statistics (@g_statistics) 's Twitter Profile Photo

Largest Economies in the European Union:๐Ÿ‡ช๐Ÿ‡บ Nominal GDP (USD) โ€” Source: World Economic Outlook:โคต๏ธ 1. ๐Ÿ‡ฉ๐Ÿ‡ช Germany โ€” $5.3 Trillion 2. ๐Ÿ‡ซ๐Ÿ‡ท France โ€” $3.6 Trillion 3. ๐Ÿ‡ฎ๐Ÿ‡น Italy โ€” $2.7 Trillion 4. ๐Ÿ‡ช๐Ÿ‡ธ Spain โ€” $2.0 Trillion 5. ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands โ€” $1.4 Trillion 6. ๐Ÿ‡ต๐Ÿ‡ฑ Poland โ€” $1.1 Trillion 7.

Largest Economies in the European Union:๐Ÿ‡ช๐Ÿ‡บ

Nominal GDP (USD) โ€” Source: World Economic Outlook:โคต๏ธ

1. ๐Ÿ‡ฉ๐Ÿ‡ช Germany โ€” $5.3 Trillion
2. ๐Ÿ‡ซ๐Ÿ‡ท France โ€” $3.6 Trillion
3. ๐Ÿ‡ฎ๐Ÿ‡น Italy โ€” $2.7 Trillion
4. ๐Ÿ‡ช๐Ÿ‡ธ Spain โ€” $2.0 Trillion
5. ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands โ€” $1.4 Trillion
6. ๐Ÿ‡ต๐Ÿ‡ฑ Poland โ€” $1.1 Trillion
7.
Global Statistics (@g_statistics) 's Twitter Profile Photo

Top Cheese Exporting Countries (2024):โคต๏ธ Annual Export Value in USD (Worldโ€™s Top Exports) 1. ๐Ÿ‡ฉ๐Ÿ‡ช Germany โ€” $6.7 billion 2. ๐Ÿ‡ฎ๐Ÿ‡น Italy โ€” $5.8 billion 3. ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands โ€” $5.8 billion 4. ๐Ÿ‡ซ๐Ÿ‡ท France โ€” $4.3 billion 5. ๐Ÿ‡บ๐Ÿ‡ธ United States โ€” $2.5 billion 6. ๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark โ€” $2.3 billion 7. ๐Ÿ‡ง๐Ÿ‡ช

Top Cheese Exporting Countries (2024):โคต๏ธ

Annual Export Value in USD (Worldโ€™s Top Exports)

1. ๐Ÿ‡ฉ๐Ÿ‡ช Germany โ€” $6.7 billion
2. ๐Ÿ‡ฎ๐Ÿ‡น Italy โ€” $5.8 billion
3. ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands โ€” $5.8 billion
4. ๐Ÿ‡ซ๐Ÿ‡ท France โ€” $4.3 billion
5. ๐Ÿ‡บ๐Ÿ‡ธ United States โ€” $2.5 billion
6. ๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark โ€” $2.3 billion
7. ๐Ÿ‡ง๐Ÿ‡ช
Global Statistics (@g_statistics) 's Twitter Profile Photo

Top 10 Economies: 1980 vs. 2000 vs. 2025:โคต๏ธ Nominal GDP (Billion USD) ๐Ÿ“Š 1980 1. ๐Ÿ‡บ๐Ÿ‡ธ U.S. โ€” $2,857 billion 2. ๐Ÿ‡ฏ๐Ÿ‡ต Japan โ€” $1,129 billion 3. ๐Ÿ‡ฉ๐Ÿ‡ช Germany โ€” $857 billion 4. ๐Ÿ‡ซ๐Ÿ‡ท France โ€” $695 billion 5. ๐Ÿ‡ฌ๐Ÿ‡ง UK โ€” $605 billion 6. ๐Ÿ‡ฎ๐Ÿ‡น Italy โ€” $480 billion 7. ๐Ÿ‡จ๐Ÿ‡ณ China โ€” $304 billion 8. ๐Ÿ‡จ๐Ÿ‡ฆ

Top 10 Economies: 1980 vs. 2000 vs. 2025:โคต๏ธ

Nominal GDP (Billion USD)

๐Ÿ“Š 1980
1. ๐Ÿ‡บ๐Ÿ‡ธ U.S. โ€” $2,857 billion
2. ๐Ÿ‡ฏ๐Ÿ‡ต Japan โ€” $1,129 billion
3. ๐Ÿ‡ฉ๐Ÿ‡ช Germany โ€” $857 billion
4. ๐Ÿ‡ซ๐Ÿ‡ท France โ€” $695 billion
5. ๐Ÿ‡ฌ๐Ÿ‡ง UK โ€” $605 billion
6. ๐Ÿ‡ฎ๐Ÿ‡น Italy โ€” $480 billion
7. ๐Ÿ‡จ๐Ÿ‡ณ China โ€” $304 billion
8. ๐Ÿ‡จ๐Ÿ‡ฆ
Global Statistics (@g_statistics) 's Twitter Profile Photo

Countries That Are the Most Culturally Similar to Each Other ๐Ÿค ๐Ÿ‡ฆ๐Ÿ‡บ Australia โ‡Œ ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand ๐Ÿ‡ฎ๐Ÿ‡ณ India โ‡Œ ๐Ÿ‡ณ๐Ÿ‡ต Nepal ๐Ÿ‡บ๐Ÿ‡ธ United States โ‡Œ ๐Ÿ‡จ๐Ÿ‡ฆ Canada ๐Ÿ‡ฉ๐Ÿ‡ช Germany โ‡Œ ๐Ÿ‡ฆ๐Ÿ‡น Austria ๐Ÿ‡จ๐Ÿ‡ณ China โ‡Œ ๐Ÿ‡น๐Ÿ‡ผ Taiwan ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands โ‡Œ ๐Ÿ‡ง๐Ÿ‡ช Belgium ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom โ‡Œ ๐Ÿ‡ฎ๐Ÿ‡ช Ireland ๐Ÿ‡ฏ๐Ÿ‡ต Japan โ‡Œ ๐Ÿ‡ฐ๐Ÿ‡ท South

Countries That Are the Most Culturally Similar to Each Other ๐Ÿค

๐Ÿ‡ฆ๐Ÿ‡บ Australia โ‡Œ ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand
๐Ÿ‡ฎ๐Ÿ‡ณ India โ‡Œ ๐Ÿ‡ณ๐Ÿ‡ต Nepal
๐Ÿ‡บ๐Ÿ‡ธ United States โ‡Œ ๐Ÿ‡จ๐Ÿ‡ฆ Canada
๐Ÿ‡ฉ๐Ÿ‡ช Germany โ‡Œ ๐Ÿ‡ฆ๐Ÿ‡น Austria
๐Ÿ‡จ๐Ÿ‡ณ China โ‡Œ ๐Ÿ‡น๐Ÿ‡ผ Taiwan
๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands โ‡Œ ๐Ÿ‡ง๐Ÿ‡ช Belgium
๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom โ‡Œ ๐Ÿ‡ฎ๐Ÿ‡ช Ireland
๐Ÿ‡ฏ๐Ÿ‡ต Japan โ‡Œ ๐Ÿ‡ฐ๐Ÿ‡ท South
Global Statistics (@g_statistics) 's Twitter Profile Photo

๐Ÿšซ Most Strict Social Media Platforms for Account Suspension (2026)๐Ÿ“ˆ Here are the platforms ranked from most strict to least strict based on account suspension policies:โคต๏ธ 1. X (formerly Twitter) 2. Meta Platforms (Facebook) 3. Meta Platforms (Instagram) 4. TikTok 5. YouTube

๐Ÿšซ Most Strict Social Media Platforms for Account Suspension (2026)๐Ÿ“ˆ

Here are the platforms ranked from most strict to least strict based on account suspension policies:โคต๏ธ

1. X (formerly Twitter)
2. Meta Platforms (Facebook)
3. Meta Platforms (Instagram)
4. TikTok
5. YouTube