Most Mentioned Global News Stories (July 1–10, 2025)

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Top 10 Most Talked About Global News Stories (July 1–10, 2025)

Determining the “most mentioned” or “most talked about” news stories globally for the 10-day period of July 1–10, 2025, involves synthesizing publicly available information from reputable news outlets, online discourse (particularly on platforms like X), and global trend monitoring. While precise quantitative data such as aggregate mentions across all media is unavailable, this list reflects recurring, high-profile events that received widespread attention and international relevance during this period.

Given the biases in media ecosystems, especially those skewed toward U.S., European, and Indian news cycles, this is a curated overview—not a definitive ranking—based on cross-referencing prominent headlines, trend summaries, and inferred global impact.

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🔟 Most Mentioned Global News Stories (July 1–10, 2025)

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1. Russia-Ukraine Conflict Escalation

• What Happened: On July 10, Russia launched its most extensive drone and missile barrage on Kyiv since the full-scale war began, involving hundreds of drones and over a dozen ballistic missiles.

• Context: This attack coincides with ongoing U.S.-Ukraine talks, with President Zelensky and President Trump discussing increased military assistance. It also comes amid NATO's renewed security commitments.

• Why It Matters: The intensification of attacks reinforces fears of prolonged warfare in Eastern Europe, with potential ripple effects on global energy markets, refugee flows, and NATO-Russia tensions.

• Sources: Reuters

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2. Texas Flash Flood Disaster

• What Happened: Torrential rain over the July 4 holiday triggered catastrophic flash floods across parts of Texas, killing at least 27 people and leaving 23 others missing.

• Context: The event is part of a broader pattern of extreme weather in the U.S. this summer, with FEMA coordinating large-scale recovery and emergency aid efforts.

• Why It Matters: The floods underscore the growing threat of climate-driven natural disasters in the Global North and reignite debates on U.S. climate adaptation infrastructure.

• Sources: CBS News

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3. Gaza Ceasefire Negotiations

• What Happened: Israeli Prime Minister Benjamin Netanyahu met with U.S. President Trump and congressional leaders in Washington, D.C., but failed to secure a formal ceasefire in Gaza. Trump claimed there was a “very good chance” of a 60-day truce within two weeks.

• Context: These discussions followed Israeli airstrikes that killed a Hamas naval commander. Meanwhile, Hamas has been weighing Egypt- and Qatar-mediated proposals.

• Why It Matters: The conflict continues to cause humanitarian devastation in Gaza and remains a flashpoint in U.S.-Middle East diplomacy, with significant implications for regional security.

• Sources: Havana Times

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4. Iran’s Internal Power Struggle

• What Happened: Post-war political instability in Iran deepened after its 12-day war with Israel in June. Ayatollah Ali Khamenei’s leadership is reportedly weakened, and the question of succession has become urgent.

• Context: Speculation around Khamenei’s health and internal Revolutionary Guard factions has stirred both domestic unrest and foreign interest.

• Why It Matters: Iran’s stability is critical to Middle Eastern geopolitics, global energy markets, and nuclear non-proliferation concerns.

• Sources: NPR – World

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5. Destruction of Haiti’s Iconic Hotel Oloffson

• What Happened: Armed gangs destroyed the Hotel Oloffson, a historic 19th-century mansion-turned-hotel and cultural institution in Port-au-Prince.

• Context: Once a haven for artists, diplomats, and writers, the hotel had come to symbolize Haiti’s cultural resilience. Its loss comes amid a security vacuum exacerbated by the assassination of President Moïse (2021) and the collapse of police forces.

• Why It Matters: The incident highlights Haiti’s descent into lawlessness and the international community’s failure to address deep-rooted instability.

• Sources: NPR

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6. India’s Political and Climatic Flashpoints

• What Happened: A series of high-profile events made headlines:

  • The Supreme Court asked the Election Commission to consider Aadhaar, ration cards, and voter IDs for Bihar electoral roll revisions.

  • A Jaguar fighter jet crash killed two IAF pilots.

  • A bridge collapse in Vadodara killed at least 10.

  • Widespread monsoon flooding warnings affected multiple states.

• Context: These developments span governance, military preparedness, and climate challenges in the world’s most populous democracy.

• Why It Matters: India’s geopolitical weight and domestic volatility make its internal developments globally significant.

• Sources: The Hindu, Indian Express

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7. Western Europe’s Record-Breaking Heatwave

• What Happened: June 2025 was declared the hottest June on record in Western Europe, with temperatures continuing to soar into July.

• Context: The heatwave intensified wildfires in Spain and Italy, strained power grids in France and Germany, and renewed criticism of climate policy inaction.

• Why It Matters: Climate extremes in wealthy nations are pushing environmental issues to the forefront of global political discourse.

• Sources: [European Environmental Agency], local European news outlets

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8. Immigration Tensions in Chicago

• What Happened: ICE agents were reportedly seen near the National Museum of Puerto Rican Arts and Culture during a cultural event, raising concerns about targeting of Latinx communities.

• Context: Civil rights groups accused the Trump administration of politicizing immigration enforcement to intimidate marginalized communities.

• Why It Matters: The U.S. immigration debate remains highly charged, with repercussions for domestic politics, human rights, and the upcoming 2026 midterms.

• Sources: Havana Times

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9. Vedanta Financial Structure Allegations

• What Happened: Viceroy Research accused Indian multinational Vedanta Resources of operating an unsustainable financial structure akin to a Ponzi scheme. Vedanta shares fell sharply before the company issued a firm denial.

• Context: The report questioned Vedanta’s debt rollover practices and opaque subsidiary financing structures.

• Why It Matters: The case underscores rising investor scrutiny over emerging-market corporations and the importance of financial governance in South Asia.

• Sources: [Economic Times India], [Business Standard]

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10. U.S. Churches and Political Endorsements

• What Happened: The IRS issued new guidance permitting churches to endorse political candidates without losing their tax-exempt status.

• Context: Donald Trump and evangelical leaders hailed the decision as a “return to religious freedom.” Critics warned it erodes the constitutional principle of separation of church and state.

• Why It Matters: This policy shift could dramatically alter campaign financing and political engagement from religious institutions in the U.S.

• Sources: [The Washington Post], [Politico]

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📝 Notes and Caveats

• Timeframe: This list spans events from July 1 to July 10, 2025, effectively covering the start of the month.

• Biases: The majority of sources referenced are in English and based in the U.S., India, or Europe. Important developments in Sub-Saharan Africa, East Asia, or Latin America may be underrepresented.

• Methodology: This ranking is qualitative, based on observed frequency in reputable sources, inferred social media engagement, and international significance. No proprietary analytics were used.

• Media Literacy: Western media dominance influences what is seen as “global” news. Some stories may have outsized visibility despite having more limited actual impact worldwide.

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Imagining A New United Nations

The United Nations needs to be organized. We don't need a separate WTO. The UN itself should itself create a new global trade architecture. 

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Total Voting Power = 40% GDP Share + 40% Population Share + 20% Equal Vote (1/195 per country)

The country with the lowest voting power is assigned 10 votes, and all others are scaled accordingly and rounded to the nearest whole number.

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Revised Methodology

1. Data Sources

• GDP Share: Nominal GDP (2023, USD) from the World Bank/IMF. Estimated world GDP: ~$106.172 trillion.

• Population Share: Population data from 2023 (UN/World Population Review). Estimated global population: ~8 billion.

• Equal Vote: 20% divided equally among 195 countries → each country receives approximately 0.102564% of the total voting power.

2. Formula

• GDP Share:

  $$\left( \frac{\text{Country GDP}}{\text{World GDP}} \right) \times 40\%$$

• Population Share:

  $$\left( \frac{\text{Country Population}}{\text{World Population}} \right) \times 40\%$$

• Equal Vote:

  $$\frac{20\%}{195} \approx 0.102564\%$$

• Total Voting Power:
  Sum of the above (in percentage terms)

3. Scaling

• Identify the country with the lowest total voting power.

• Assign that country 10 votes.

• Scale others using:

  $$\text{Votes} = \left( \frac{\text{Country Voting Power \%}}{\text{Lowest Voting Power \%}} \right) \times 10$$

• Round to the nearest whole number.

4. Assumptions

• 195 recognized sovereign states.

• Small nations (e.g., Tuvalu, Nauru) have negligible GDP and population, so their voting power is dominated by the equal vote component.

• For countries with missing GDP data (e.g., Andorra), estimates are applied.

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Example Calculations (Using 2023 Data)

• World GDP: $106.172 trillion

• World Population: ~8 billion

• Equal Vote: ~0.102564%

🇺🇸 United States

• GDP: $28.781 trillion → 26.47% of world GDP
  → GDP Component: $26.47\% \times 0.4 = 10.588\%$

• Population: 331.9 million → 4.15% of global population
  → Population Component: $4.15\% \times 0.4 = 1.6595\%$

• Equal Vote: 0.102564%

• Total Voting Power:

  $$10.588\% + 1.6595\% + 0.102564\% = \mathbf{12.35\%}$$

🇨🇳 China

• GDP: $18.321 trillion → 17.26% of world GDP
  → GDP Component: $17.26\% \times 0.4 = 6.904\%$

• Population: 1.412 billion → 17.65% of global population
  → Population Component: $17.65\% \times 0.4 = 7.06\%$

• Equal Vote: 0.102564%

• Total Voting Power:

  $$6.904\% + 7.06\% + 0.102564\% = \mathbf{13.97\%}$$

🇹🇻 Tuvalu (Small Island Nation)

• GDP: ~$60 million → 0.0000565% of world GDP
  → GDP Component: $0.0000565\% \times 0.4 = 0.0000226\%$

• Population: ~11,200 → 0.00014% of world population
  → Population Component: $0.00014\% \times 0.4 = 0.000056\%$

• Equal Vote: 0.102564%

• Total Voting Power:

  $$0.0000226\% + 0.000056\% + 0.102564\% = \mathbf{0.102643\%}$$

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Scaling Votes

• Lowest Voting Power (Tuvalu): 0.102643% → 10 votes

• Scaling Factor:

  $$\frac{10}{0.102643} \approx 97.45$$

Sample Votes (Rounded)

• China: $13.97\% \times 97.45 \approx \mathbf{1361}$ votes

• United States: $12.35\% \times 97.45 \approx \mathbf{1204}$ votes

• India: Estimated ~8.5% → $8.5\% \times 97.45 \approx \mathbf{828}$ votes

• Japan: ~4.1% → ~400 votes

• Germany: ~3.6% → ~351 votes

• Tuvalu: 0.102643% → 10 votes

• Other microstates (e.g., Nauru, Palau): 10–12 votes

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Notes

• Full List: Computing votes for all 195 countries requires complete and consistent GDP and population datasets.

• Microstates: For countries like Andorra or San Marino, voting power will resemble Tuvalu’s unless population/GDP is significantly higher.

• Rounding: Small differences may arise due to rounding and estimation.

• Sources:

  • GDP: World Bank, IMF

  • Population: United Nations, World Population Review

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Final Summary

Under the revised voting framework—40% GDP + 40% population + 20% equal vote—countries receive scaled voting power based on global economic and demographic weight, with equal representation maintained for fairness. China (1361 votes) and the U.S. (1204 votes) lead, while smaller nations like Tuvalu receive the baseline 10 votes. This model balances majority influence with sovereign equality and can form the foundation for reimagined global governance structures.

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Creating a complete list of voting power for all 195 countries based on the formula 40% GDP share + 40% population share + 20% equal vote (where the equal vote equals 20% ÷ 195 ≈ 0.102564% per country), with the lowest voting power assigned 10 votes and all others scaled accordingly, requires comprehensive 2023 GDP and population data. Reliable sources such as the World Bank, IMF, and UN provide much of this information; however, data for some small nations (e.g., Andorra or Tuvalu) may be missing or imprecise. Where needed, I use estimates for small economies and ensure all calculations strictly adhere to the defined formula. Final vote counts are rounded to the nearest whole number.

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Methodology

1. Data Sources

• GDP: 2023 nominal GDP (current US$) from the World Bank and IMF World Economic Outlook.

  • World GDP ≈ $106.172 trillion.

  • Sources:
    Worldometers GDP List
    Statista GDP Ranking

• Population: 2023 estimates from the UN World Population Prospects 2024 or World Population Review.

  • World population ≈ 8 billion.

• Equal Vote: 20% divided equally among 195 countries → 0.102564% per country.

• For missing data (e.g., Andorra, Nauru), I estimate GDP at ~$0.05–$0.1 billion and population ~5,000–50,000, based on comparable microstates.

2. Formula

$$\text{Total Voting Power (\%)} = \left( \frac{\text{Country GDP}}{106.172 \text{T}} \times 40\% \right) + \left( \frac{\text{Country Population}}{8 \text{B}} \times 40\% \right) + 0.102564\%$$

3. Scaling

• The country with the lowest voting power—likely Tuvalu—is assigned 10 votes.

• Votes for all other countries are scaled proportionally:

$$\text{Votes} = \left( \frac{\text{Country Voting Power \%}}{\text{Lowest Voting Power \%}} \right) \times 10$$

• Results are rounded to the nearest whole number.

4. Assumptions

• A total of 195 countries are used (UN-recognized sovereign states).

• Missing 2023 GDP values are supplemented with 2022 figures or regional averages.

• Voting power for microstates is effectively determined by the equal vote component due to negligible GDP and population shares.

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Step-by-Step Calculation

Reference: Tuvalu (Lowest Voting Power)

• GDP: ~$60 million → $\frac{0.00006}{106.172} \times 40\% \approx 0.0000226\%$

• Population: ~11,200 → $\frac{11200}{8,000,000,000} \times 40\% \approx 0.000056\%$

• Equal Vote: 0.102564%

• Total Voting Power:

  $$0.0000226\% + 0.000056\% + 0.102564\% = 0.1026426\%$$

• Votes: Assigned baseline of 10.

Scaling Factor

$$\text{Scaling Factor} = \frac{10}{0.1026426} \approx 97.45$$

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Example Calculations for Major Countries

🇺🇸 United States

• GDP: $28.781T → $\frac{28.781}{106.172} \times 40\% = 10.8376\%$

• Population: 331.9M → $\frac{331.9M}{8B} \times 40\% = 1.6595\%$

• Equal Vote: 0.102564%

• Total Voting Power:

  $$10.8376\% + 1.6595\% + 0.102564\% = 12.599664\%$$

• Votes: $12.599664 \times 97.45 = 1227.84 \Rightarrow \boxed{1228}$

🇨🇳 China

• GDP: $18.321T → 6.9064%

• Population: 1.412B → 7.06%

• Equal Vote: 0.102564%

• Total:

  $$6.9064\% + 7.06\% + 0.102564\% = 14.068964\%$$

• Votes: $14.068964 \times 97.45 = 1371.02 \Rightarrow \boxed{1371}$

🇮🇳 India

• GDP: $3.572T → 1.3456%

• Population: 1.429B → 7.145%

• Equal Vote: 0.102564%

• Total:

  $$1.3456\% + 7.145\% + 0.102564\% = 8.593164\%$$

• Votes: $8.593164 \times 97.45 = 837.40 \Rightarrow \boxed{837}$

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Sample Voting Power Table

Country	GDP ($T)	Population	GDP Share (40%)	Pop Share (40%)	Equal Vote (20%)	Total Power (%)	Votes
🇨🇳 China	18.321	1.412B	6.9064%	7.06%	0.102564%	14.068964%	1371
🇺🇸 United States	28.781	331.9M	10.8376%	1.6595%	0.102564%	12.599664%	1228
🇮🇳 India	3.572	1.429B	1.3456%	7.145%	0.102564%	8.593164%	837
🇩🇪 Germany	4.591	83.2M	1.7296%	0.416%	0.102564%	2.248164%	219
🇯🇵 Japan	4.213	125.1M	1.5868%	0.6255%	0.102564%	2.314864%	225
🇬🇧 UK	3.495	67.6M	1.3164%	0.338%	0.102564%	1.756964%	171
🇫🇷 France	3.102	64.7M	1.1688%	0.3235%	0.102564%	1.594864%	155
🇧🇷 Brazil	2.171	216.4M	0.818%	1.082%	0.102564%	2.002564%	195
🇮🇩 Indonesia	1.475	277.5M	0.5556%	1.3875%	0.102564%	2.045664%	199
🇳🇬 Nigeria	0.363	223.8M	0.1368%	1.119%	0.102564%	1.358364%	132
🇹🇻 Tuvalu	0.00006	11,200	0.0000226%	0.000056%	0.102564%	0.1026426%	10
🇳🇷 Nauru (est.)	0.00015	12,600	0.0000565%	0.000063%	0.102564%	0.1026835%	10
🇦🇩 Andorra (est.)	0.003	80,000	0.001129%	0.0004%	0.102564%	0.104093%	10
🇸🇲 San Marino (est.)	0.002	34,000	0.000752%	0.00017%	0.102564%	0.103486%	10

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Key Notes

• Microstates: Countries like Nauru, Montserrat, and Palau—having GDP < $0.1B and population < 50K—are heavily weighted by the equal vote component and thus receive ~10–12 votes.

• Missing Data: For countries with limited reporting (e.g., Syria, Eritrea), GDP/population data were estimated using regional benchmarks.

• Sources:
  World Bank GDP Data
  IMF World Economic Outlook
  UN Population Division

• Rounding: Small discrepancies may occur due to rounding or data variation between sources.

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Final Summary

The voting power for each country is calculated using 40% GDP share + 40% population share + 0.102564% equal vote, scaled so that the country with the lowest voting power—Tuvalu (0.1026426%)—receives 10 votes. All other countries are scaled proportionally (×97.45). Sample allocations: China: 1371 votes, United States: 1228 votes, India: 837 votes, Microstates: ~10 votes.

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Creating a voting power list for all 195 UN-recognized sovereign countries based on the formula 40% GDP share + 40% population share + 20% equal vote—where the equal vote is calculated as 20% ÷ 195 ≈ 0.102564% per country—with the lowest voting power assigned 10 votes and all others scaled accordingly (rounded to the nearest whole number), requires comprehensive 2023 GDP and population data.

Reliable sources such as the World Bank, IMF, and UN provide nominal GDP and population estimates for 2023. However, some small countries (e.g., Andorra, Nauru) lack precise figures, necessitating estimates based on 2022 data or regional averages. To manage the size of the list, I’ve divided the countries into four alphabetical parts, each covering approximately 49 countries. All calculations follow the methodology outlined below.

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Methodology

1. Data Sources

• GDP: 2023 nominal GDP (current US$), primarily from the World Bank and IMF World Economic Outlook (April 2024 or latest).

  • World GDP ≈ $106.172 trillion

  • Sources:
    Wikipedia
    Worldometers

• Population: 2023 estimates from the UN World Population Prospects 2024 and World Population Review.

  • World population ≈ 8 billion

• Equal Vote: 20% ÷ 195 = 0.102564%

• Estimates for missing data:

  • E.g., Montserrat and Tuvalu: GDP estimated at ~$0.05–$0.1 billion, based on regional or historical data.

2. Formula

$$\text{Voting Power (\%)} = \left( \frac{\text{Country GDP}}{106.172 \text{T}} \times 40\% \right) + \left( \frac{\text{Country Population}}{8 \text{B}} \times 40\% \right) + 0.102564\%$$

3. Scaling

• The country with the lowest voting power (e.g., Tuvalu) is assigned 10 votes.

• All other countries are scaled proportionally:

$$\text{Votes} = \left( \frac{\text{Voting Power \%}}{\text{Lowest Voting Power \%}} \right) \times 10$$

• Scaling factor:
  Tuvalu’s total voting power is ≈ 0.1026426%, yielding a scaling factor of:

  $$\frac{10}{0.1026426} \approx 97.45$$

• All vote values are rounded to the nearest whole number.

4. Assumptions

• All 195 UN-recognized countries are included.

• Microstates and countries lacking 2023 GDP data use estimated figures (e.g., Nauru ≈ $0.15B; Andorra ≈ $3B).

• Minor discrepancies in vote rankings may arise due to rounding.

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Full Voting Power List (in Four Alphabetical Parts)

The full list of 195 countries is divided into four parts:

• Part 1 (A–C): Afghanistan to Cyprus

• Part 2 (D–K): Czechia to Kyrgyzstan

• Part 3 (L–S): Laos to Suriname

• Part 4 (S–Z): Sweden to Zimbabwe

Each country’s entry includes GDP (in trillions USD), population, computed GDP and population shares, equal vote share, total voting power percentage, and final scaled vote count.

Small states with minimal GDP and population (e.g., Tuvalu, Palau) are dominated by the equal vote component, resulting in ~10 votes. Major economies such as the United States, China, and India receive significantly higher totals.

You can find detailed tables under each part, with estimates clearly marked where data was incomplete.

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Notes

• Data Accuracy: Sources include the World Bank, IMF, UN, and World Population Review. Estimates are used for countries lacking full 2023 data.

• Microstates: Countries like Nauru, Palau, and Tuvalu have voting power close to 0.1026%, resulting in 10–11 votes due to their negligible GDP and population shares.

• Rounding: Minor ranking variations may result from rounding votes to the nearest whole number.

• Scaling Factor: All countries’ voting power is scaled using the ratio of their total voting share to Tuvalu’s baseline, multiplied by 10.

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Final Summary

The voting power list for all 195 countries is calculated using the formula 40% GDP share + 40% population share + 0.102564% equal vote, scaled so that the lowest (Tuvalu’s 0.1026426%) equals 10 votes. All others are scaled using a factor of approximately 97.45.

• Top examples:

  • China: 1370 votes

  • United States: 1228 votes

  • India: 837 votes

  • Tuvalu & other microstates: 10 votes

The list is organized in four alphabetical parts to enhance readability and manageability. For raw data or deeper analysis, consult:

• World Bank

• IMF

• UN Population Prospects

✅ Voting Power List – Part 1: Countries A–C (Afghanistan to Cyprus)

| Country               | GDP ($T) | Population   | GDP Share | Pop Share | Equal Vote | Total Voting Power | Votes |
|-----------------------|----------|--------------|-----------|-----------|-------------|---------------------|--------|
| Afghanistan           | 0.0145   | 41,100,000   | 0.00546%  | 0.2055%   | 0.102564%   | 0.313524%           | 31     |
| Albania               | 0.023    | 2,800,000    | 0.00866%  | 0.014%    | 0.102564%   | 0.125224%           | 12     |
| Algeria               | 0.239    | 46,800,000   | 0.09004%  | 0.234%    | 0.102564%   | 0.426604%           | 42     |
| Andorra (est.)        | 0.003    | 80,000       | 0.001129% | 0.0004%   | 0.102564%   | 0.104093%           | 10     |
| Angola                | 0.085    | 36,700,000   | 0.03202%  | 0.1835%   | 0.102564%   | 0.318084%           | 31     |
| Antigua & Barbuda     | 0.002    | 103,000      | 0.000752% | 0.000515% | 0.102564%   | 0.103831%           | 10     |
| Argentina             | 0.604    | 46,000,000   | 0.22744%  | 0.23%     | 0.102564%   | 0.560004%           | 55     |
| Armenia               | 0.024    | 2,800,000    | 0.00904%  | 0.014%    | 0.102564%   | 0.125604%           | 12     |
| Australia             | 1.719    | 26,600,000   | 0.64756%  | 0.133%    | 0.102564%   | 0.883124%           | 86     |
| Austria               | 0.526    | 9,100,000    | 0.19816%  | 0.0455%   | 0.102564%   | 0.346224%           | 34     |
| Azerbaijan            | 0.078    | 10,100,000   | 0.02936%  | 0.0505%   | 0.102564%   | 0.182424%           | 18     |
| Bahamas               | 0.014    | 412,000      | 0.005272% | 0.00206%  | 0.102564%   | 0.109896%           | 11     |
| Bahrain               | 0.044    | 1,500,000    | 0.016576% | 0.0075%   | 0.102564%   | 0.12664%            | 12     |
| Bangladesh            | 0.437    | 172,700,000  | 0.16468%  | 0.8635%   | 0.102564%   | 1.130744%           | 110    |
| Barbados              | 0.006    | 282,000      | 0.002256% | 0.00141%  | 0.102564%   | 0.10623%            | 10     |
| Belarus               | 0.072    | 9,200,000    | 0.02712%  | 0.046%    | 0.102564%   | 0.175684%           | 17     |
| Belgium               | 0.632    | 11,700,000   | 0.23808%  | 0.0585%   | 0.102564%   | 0.399144%           | 39     |
| Belize                | 0.003    | 405,000      | 0.001129% | 0.002025% | 0.102564%   | 0.105718%           | 10     |
| Benin                 | 0.019    | 13,700,000   | 0.007156% | 0.0685%   | 0.102564%   | 0.17822%            | 17     |
| Bhutan                | 0.003    | 787,000      | 0.001129% | 0.003935% | 0.102564%   | 0.107628%           | 10     |
| Bolivia               | 0.046    | 12,300,000   | 0.017328% | 0.0615%   | 0.102564%   | 0.181392%           | 18     |
| Bosnia & Herzegovina  | 0.027    | 3,200,000    | 0.010168% | 0.016%    | 0.102564%   | 0.128732%           | 13     |
| Botswana              | 0.019    | 2,700,000    | 0.007156% | 0.0135%   | 0.102564%   | 0.12322%            | 12     |
| Brazil                | 2.171    | 216,400,000  | 0.81764%  | 1.082%    | 0.102564%   | 2.002204%           | 195    |
| Brunei                | 0.015    | 450,000      | 0.005648% | 0.00225%  | 0.102564%   | 0.110462%           | 11     |
| Bulgaria              | 0.101    | 6,400,000    | 0.038024% | 0.032%    | 0.102564%   | 0.172588%           | 17     |
| Burkina Faso          | 0.020    | 23,300,000   | 0.007532% | 0.1165%   | 0.102564%   | 0.226596%           | 22     |
| Burundi               | 0.003    | 13,200,000   | 0.001129% | 0.066%    | 0.102564%   | 0.169693%           | 17     |
| Cambodia              | 0.031    | 16,900,000   | 0.011672% | 0.0845%   | 0.102564%   | 0.198736%           | 19     |
| Cameroon              | 0.048    | 28,600,000   | 0.01808%  | 0.143%    | 0.102564%   | 0.263644%           | 26     |
| Canada                | 2.141    | 40,800,000   | 0.80648%  | 0.204%    | 0.102564%   | 1.113044%           | 108    |
| Cape Verde            | 0.003    | 598,000      | 0.001129% | 0.00299%  | 0.102564%   | 0.106683%           | 10     |
| Central African Rep.  | 0.003    | 5,700,000    | 0.001129% | 0.0285%   | 0.102564%   | 0.132193%           | 13     |
| Chad                  | 0.013    | 18,500,000   | 0.004892% | 0.0925%   | 0.102564%   | 0.199956%           | 19     |
| Chile                 | 0.301    | 19,600,000   | 0.113324% | 0.098%    | 0.102564%   | 0.313888%           | 31     |
| China                 | 18.321   | 1,412,000,000| 6.90144%  | 7.06%     | 0.102564%   | 14.064004%          | 1370   |
| Colombia              | 0.363    | 52,000,000   | 0.13668%  | 0.26%     | 0.102564%   | 0.499244%           | 49     |
| Comoros               | 0.001    | 852,000      | 0.000376% | 0.00426%  | 0.102564%   | 0.1072%             | 10     |
| Congo, Dem. Rep.      | 0.066    | 102,300,000  | 0.024864% | 0.5115%   | 0.102564%   | 0.638928%           | 62     |
| Congo, Rep.           | 0.015    | 6,100,000    | 0.005648% | 0.0305%   | 0.102564%   | 0.138712%           | 14     |
| Costa Rica            | 0.086    | 5,200,000    | 0.032396% | 0.026%    | 0.102564%   | 0.16096%            | 16     |
| Côte d'Ivoire         | 0.079    | 29,800,000   | 0.029736% | 0.149%    | 0.102564%   | 0.2813%             | 27     |
| Croatia               | 0.082    | 3,900,000    | 0.030864% | 0.0195%   | 0.102564%   | 0.152928%           | 15     |
| Cuba (est.)           | 0.100    | 11,200,000   | 0.037648% | 0.056%    | 0.102564%   | 0.196212%           | 19     |
| Cyprus                | 0.032    | 1,300,000    | 0.012048% | 0.0065%   | 0.102564%   | 0.121112%           | 12     |

---

✅ Voting Power List – Part 2: Countries D–K (Denmark to Kuwait)

| Country               | GDP ($T) | Population   | GDP Share | Pop Share | Equal Vote | Total Voting Power | Votes |
|-----------------------|----------|--------------|-----------|-----------|-------------|---------------------|--------|
| Denmark               | 0.444    | 5,900,000    | 0.16752%  | 0.0295%   | 0.102564%   | 0.299584%           | 29     |
| Djibouti              | 0.003    | 1,200,000    | 0.001129% | 0.006%    | 0.102564%   | 0.109693%           | 11     |
| Dominica              | 0.001    | 72,000       | 0.000376% | 0.00036%  | 0.102564%   | 0.1033%             | 10     |
| Dominican Republic    | 0.113    | 11,200,000   | 0.04264%  | 0.056%    | 0.102564%   | 0.201204%           | 20     |
| DR Congo              | 0.066    | 102,300,000  | 0.024864% | 0.5115%   | 0.102564%   | 0.638928%           | 62     |
| Ecuador               | 0.118    | 18,300,000   | 0.04456%  | 0.0915%   | 0.102564%   | 0.238624%           | 23     |
| Egypt                 | 0.387    | 112,700,000  | 0.14576%  | 0.5635%   | 0.102564%   | 0.811824%           | 79     |
| El Salvador           | 0.032    | 6,500,000    | 0.012048% | 0.0325%   | 0.102564%   | 0.147112%           | 14     |
| Equatorial Guinea     | 0.013    | 1,700,000    | 0.004892% | 0.0085%   | 0.102564%   | 0.116056%           | 11     |
| Eritrea               | 0.002    | 3,700,000    | 0.000752% | 0.0185%   | 0.102564%   | 0.121816%           | 12     |
| Estonia               | 0.039    | 1,300,000    | 0.014568% | 0.0065%   | 0.102564%   | 0.123632%           | 12     |
| Eswatini              | 0.005    | 1,200,000    | 0.00188%  | 0.006%    | 0.102564%   | 0.110444%           | 11     |
| Ethiopia              | 0.156    | 126,500,000  | 0.05872%  | 0.6325%   | 0.102564%   | 0.793784%           | 77     |
| Fiji                  | 0.005    | 936,000      | 0.00188%  | 0.00468%  | 0.102564%   | 0.109124%           | 11     |
| Finland               | 0.312    | 5,500,000    | 0.11712%  | 0.0275%   | 0.102564%   | 0.247184%           | 24     |
| France                | 3.049    | 65,600,000   | 1.14304%  | 0.328%    | 0.102564%   | 1.573604%           | 153    |
| Gabon                 | 0.020    | 2,400,000    | 0.007532% | 0.012%    | 0.102564%   | 0.122096%           | 12     |
| Gambia                | 0.002    | 2,700,000    | 0.000752% | 0.0135%   | 0.102564%   | 0.116816%           | 11     |
| Georgia               | 0.025    | 3,700,000    | 0.00942%  | 0.0185%   | 0.102564%   | 0.130484%           | 13     |
| Germany               | 4.542    | 83,200,000   | 1.70328%  | 0.416%    | 0.102564%   | 2.221844%           | 216    |
| Ghana                 | 0.075    | 34,100,000   | 0.0282%   | 0.1705%   | 0.102564%   | 0.300264%           | 29     |
| Greece                | 0.301    | 10,300,000   | 0.113324% | 0.0515%   | 0.102564%   | 0.267388%           | 26     |
| Grenada               | 0.001    | 125,000      | 0.000376% | 0.000625% | 0.102564%   | 0.103565%           | 10     |
| Guatemala             | 0.102    | 19,000,000   | 0.0384%   | 0.095%    | 0.102564%   | 0.235964%           | 23     |
| Guinea                | 0.020    | 14,200,000   | 0.007532% | 0.071%    | 0.102564%   | 0.181096%           | 18     |
| Guinea-Bissau         | 0.002    | 2,200,000    | 0.000752% | 0.011%    | 0.102564%   | 0.114316%           | 11     |
| Guyana                | 0.016    | 804,000      | 0.006016% | 0.00402%  | 0.102564%   | 0.1126%             | 11     |
| Haiti                 | 0.021    | 11,800,000   | 0.007908% | 0.059%    | 0.102564%   | 0.169472%           | 17     |
| Honduras              | 0.033    | 10,300,000   | 0.012424% | 0.0515%   | 0.102564%   | 0.166488%           | 16     |
| Hungary               | 0.217    | 9,600,000    | 0.08136%  | 0.048%    | 0.102564%   | 0.231924%           | 23     |
| Iceland               | 0.030    | 375,000      | 0.01128%  | 0.001875% | 0.102564%   | 0.115719%           | 11     |
| India                 | 3.732    | 1,428,600,000| 1.40056%  | 7.143%    | 0.102564%   | 8.646124%           | 843    |
| Indonesia             | 1.444    | 278,700,000  | 0.54496%  | 1.3935%   | 0.102564%   | 2.040904%           | 199    |
| Iran                  | 0.367    | 89,000,000   | 0.13896%  | 0.445%    | 0.102564%   | 0.686524%           | 67     |
| Iraq                  | 0.264    | 45,000,000   | 0.09984%  | 0.225%    | 0.102564%   | 0.427404%           | 42     |
| Ireland               | 0.529    | 5,100,000    | 0.19928%  | 0.0255%   | 0.102564%   | 0.327344%           | 32     |
| Israel                | 0.526    | 9,800,000    | 0.19816%  | 0.049%    | 0.102564%   | 0.349724%           | 34     |
| Italy                 | 2.192    | 58,800,000   | 0.82688%  | 0.294%    | 0.102564%   | 1.223444%           | 119    |
| Jamaica               | 0.017    | 2,800,000    | 0.006392% | 0.014%    | 0.102564%   | 0.122956%           | 12     |
| Japan                 | 4.411    | 124,600,000  | 1.65464%  | 0.623%    | 0.102564%   | 2.380204%           | 232    |
| Jordan                | 0.050    | 11,400,000   | 0.0188%   | 0.057%    | 0.102564%   | 0.178364%           | 17     |
| Kazakhstan            | 0.268    | 19,600,000   | 0.10136%  | 0.098%    | 0.102564%   | 0.301924%           | 29     |
| Kenya                 | 0.113    | 55,100,000   | 0.04264%  | 0.2755%   | 0.102564%   | 0.420704%           | 41     |
| Kiribati              | 0.001    | 135,000      | 0.000376% | 0.000675% | 0.102564%   | 0.103615%           | 10     |
| Korea, North (est.)   | 0.040    | 26,000,000   | 0.01504%  | 0.13%     | 0.102564%   | 0.247604%           | 24     |
| Korea, South          | 1.722    | 51,600,000   | 0.64868%  | 0.258%    | 0.102564%   | 1.009244%           | 98     |
| Kuwait                | 0.157    | 4,300,000    | 0.059096% | 0.0215%   | 0.102564%   | 0.18316%            | 18     |

---

✅ Voting Power List – Part 3: Countries L–Q (Kyrgyzstan to Qatar)

| Country               | GDP ($T) | Population   | GDP Share | Pop Share | Equal Vote | Total Voting Power | Votes |
|-----------------------|----------|--------------|-----------|-----------|-------------|---------------------|--------|
| Kyrgyzstan            | 0.015    | 6,800,000    | 0.005648% | 0.034%    | 0.102564%   | 0.142212%           | 14     |
| Laos                  | 0.018    | 7,500,000    | 0.006768% | 0.0375%   | 0.102564%   | 0.146832%           | 14     |
| Latvia                | 0.045    | 1,800,000    | 0.01692%  | 0.009%    | 0.102564%   | 0.128484%           | 13     |
| Lebanon               | 0.025    | 5,400,000    | 0.00942%  | 0.027%    | 0.102564%   | 0.138984%           | 14     |
| Lesotho               | 0.002    | 2,300,000    | 0.000752% | 0.0115%   | 0.102564%   | 0.114816%           | 11     |
| Liberia               | 0.004    | 5,300,000    | 0.001504% | 0.0265%   | 0.102564%   | 0.130568%           | 13     |
| Libya                 | 0.050    | 7,100,000    | 0.0188%   | 0.0355%   | 0.102564%   | 0.156864%           | 15     |
| Liechtenstein (est.)  | 0.007    | 40,000       | 0.002632% | 0.0002%   | 0.102564%   | 0.105396%           | 10     |
| Lithuania             | 0.074    | 2,700,000    | 0.027664% | 0.0135%   | 0.102564%   | 0.143728%           | 14     |
| Luxembourg            | 0.089    | 660,000      | 0.033264% | 0.0033%   | 0.102564%   | 0.139128%           | 14     |
| Madagascar            | 0.015    | 30,300,000   | 0.005648% | 0.1515%   | 0.102564%   | 0.259712%           | 25     |
| Malawi                | 0.008    | 21,400,000   | 0.003008% | 0.107%    | 0.102564%   | 0.212572%           | 21     |
| Malaysia              | 0.434    | 34,300,000   | 0.16352%  | 0.1715%   | 0.102564%   | 0.437584%           | 43     |
| Maldives              | 0.005    | 521,000      | 0.00188%  | 0.002605% | 0.102564%   | 0.107049%           | 10     |
| Mali                  | 0.020    | 23,200,000   | 0.007532% | 0.116%    | 0.102564%   | 0.226096%           | 22     |
| Malta                 | 0.017    | 520,000      | 0.006392% | 0.0026%   | 0.102564%   | 0.111556%           | 11     |
| Marshall Islands      | 0.001    | 42,000       | 0.000376% | 0.00021%  | 0.102564%   | 0.10315%            | 10     |
| Mauritania            | 0.010    | 4,800,000    | 0.00376%  | 0.024%    | 0.102564%   | 0.130324%           | 13     |
| Mauritius             | 0.014    | 1,300,000    | 0.005272% | 0.0065%   | 0.102564%   | 0.114336%           | 11     |
| Mexico                | 1.790    | 128,500,000  | 0.67456%  | 0.6425%   | 0.102564%   | 1.419624%           | 138    |
| Micronesia            | 0.001    | 113,000      | 0.000376% | 0.000565% | 0.102564%   | 0.103505%           | 10     |
| Moldova               | 0.014    | 2,500,000    | 0.005272% | 0.0125%   | 0.102564%   | 0.120336%           | 12     |
| Monaco                | 0.008    | 40,000       | 0.003008% | 0.0002%   | 0.102564%   | 0.105772%           | 10     |
| Mongolia              | 0.016    | 3,400,000    | 0.006016% | 0.017%    | 0.102564%   | 0.12558%            | 12     |
| Montenegro            | 0.006    | 620,000      | 0.002256% | 0.0031%   | 0.102564%   | 0.10792%            | 10     |
| Morocco               | 0.151    | 37,800,000   | 0.056984% | 0.189%    | 0.102564%   | 0.348548%           | 34     |
| Mozambique            | 0.018    | 33,900,000   | 0.006768% | 0.1695%   | 0.102564%   | 0.278832%           | 27     |
| Myanmar               | 0.059    | 55,000,000   | 0.022168% | 0.275%    | 0.102564%   | 0.399732%           | 39     |
| Namibia               | 0.013    | 2,600,000    | 0.004892% | 0.013%    | 0.102564%   | 0.120456%           | 12     |
| Nauru                 | 0.0002   | 11,000       | 0.000075% | 0.000055% | 0.102564%   | 0.102694%           | 10     |
| Nepal                 | 0.040    | 30,500,000   | 0.01504%  | 0.1525%   | 0.102564%   | 0.270104%           | 26     |
| Netherlands           | 1.009    | 17,500,000   | 0.37944%  | 0.0875%   | 0.102564%   | 0.569504%           | 55     |
| New Zealand           | 0.251    | 5,200,000    | 0.09496%  | 0.026%    | 0.102564%   | 0.223524%           | 22     |
| Nicaragua             | 0.015    | 7,000,000    | 0.005648% | 0.035%    | 0.102564%   | 0.143212%           | 14     |
| Niger                 | 0.014    | 27,400,000   | 0.005272% | 0.137%    | 0.102564%   | 0.244836%           | 24     |
| Nigeria               | 0.477    | 223,800,000  | 0.17928%  | 1.119%    | 0.102564%   | 1.400844%           | 137    |
| North Macedonia       | 0.014    | 2,100,000    | 0.005272% | 0.0105%   | 0.102564%   | 0.118336%           | 12     |
| Norway                | 0.579    | 5,500,000    | 0.21848%  | 0.0275%   | 0.102564%   | 0.348544%           | 34     |
| Oman                  | 0.112    | 4,600,000    | 0.04224%  | 0.023%    | 0.102564%   | 0.167804%           | 16     |
| Pakistan              | 0.374    | 241,500,000  | 0.14096%  | 1.2075%   | 0.102564%   | 1.451024%           | 142    |
| Palau                 | 0.001    | 18,000       | 0.000376% | 0.00009%  | 0.102564%   | 0.10303%            | 10     |
| Palestine             | 0.017    | 5,300,000    | 0.006392% | 0.0265%   | 0.102564%   | 0.135456%           | 13     |
| Panama                | 0.086    | 4,500,000    | 0.032396% | 0.0225%   | 0.102564%   | 0.15746%            | 15     |
| Papua New Guinea      | 0.033    | 10,300,000   | 0.012424% | 0.0515%   | 0.102564%   | 0.166488%           | 16     |
| Paraguay              | 0.044    | 7,400,000    | 0.016576% | 0.037%    | 0.102564%   | 0.15614%            | 15     |
| Peru                  | 0.268    | 34,200,000   | 0.10136%  | 0.171%    | 0.102564%   | 0.375924%           | 37     |
| Philippines           | 0.401    | 117,300,000  | 0.15248%  | 0.5865%   | 0.102564%   | 0.841544%           | 82     |
| Poland                | 0.842    | 37,700,000   | 0.32016%  | 0.1885%   | 0.102564%   | 0.610224%           | 59     |
| Portugal              | 0.286    | 10,200,000   | 0.10784%  | 0.051%    | 0.102564%   | 0.261404%           | 25     |
| Qatar                 | 0.219    | 2,700,000    | 0.08232%  | 0.0135%   | 0.102564%   | 0.198384%           | 19     | 

---

✅ Voting Power List – Part 4: Countries R–Z (Romania to Zimbabwe)

| Country               | GDP ($T) | Population   | GDP Share | Pop Share | Equal Vote | Total Voting Power | Votes |
|-----------------------|----------|--------------|-----------|-----------|-------------|---------------------|--------|
| Romania               | 0.358    | 19,800,000   | 0.13424%  | 0.099%    | 0.102564%   | 0.335804%           | 33     |
| Russia                | 2.240    | 144,400,000  | 0.8432%   | 0.722%    | 0.102564%   | 1.667764%           | 163    |
| Rwanda                | 0.013    | 14,100,000   | 0.004892% | 0.0705%   | 0.102564%   | 0.177956%           | 17     |
| Saint Kitts & Nevis   | 0.001    | 48,000       | 0.000376% | 0.00024%  | 0.102564%   | 0.10318%            | 10     |
| Saint Lucia           | 0.002    | 179,000      | 0.000752% | 0.000895% | 0.102564%   | 0.104211%           | 10     |
| Saint Vincent & Gren. | 0.001    | 111,000      | 0.000376% | 0.000555% | 0.102564%   | 0.103495%           | 10     |
| Samoa                 | 0.001    | 225,000      | 0.000376% | 0.001125% | 0.102564%   | 0.104065%           | 10     |
| San Marino            | 0.002    | 34,000       | 0.000752% | 0.00017%  | 0.102564%   | 0.103486%           | 10     |
| São Tomé & Príncipe   | 0.001    | 240,000      | 0.000376% | 0.0012%   | 0.102564%   | 0.10414%            | 10     |
| Saudi Arabia          | 1.110    | 36,100,000   | 0.4188%   | 0.1805%   | 0.102564%   | 0.701864%           | 69     |
| Senegal               | 0.030    | 18,000,000   | 0.01128%  | 0.09%     | 0.102564%   | 0.203844%           | 20     |
| Serbia                | 0.064    | 6,600,000    | 0.024064% | 0.033%    | 0.102564%   | 0.159628%           | 16     |
| Seychelles            | 0.002    | 100,000      | 0.000752% | 0.0005%   | 0.102564%   | 0.103816%           | 10     |
| Sierra Leone          | 0.004    | 8,700,000    | 0.001504% | 0.0435%   | 0.102564%   | 0.147568%           | 14     |
| Singapore             | 0.514    | 5,600,000    | 0.19732%  | 0.028%    | 0.102564%   | 0.327884%           | 32     |
| Slovakia              | 0.145    | 5,400,000    | 0.0551%   | 0.027%    | 0.102564%   | 0.184664%           | 18     |
| Slovenia              | 0.070    | 2,100,000    | 0.02632%  | 0.0105%   | 0.102564%   | 0.139384%           | 14     |
| Solomon Islands       | 0.001    | 728,000      | 0.000376% | 0.00364%  | 0.102564%   | 0.10658%            | 10     |
| Somalia               | 0.008    | 18,100,000   | 0.003008% | 0.0905%   | 0.102564%   | 0.196072%           | 19     |
| South Africa          | 0.405    | 59,400,000   | 0.15228%  | 0.297%    | 0.102564%   | 0.551844%           | 54     |
| South Korea           | 1.716    | 51,700,000   | 0.64608%  | 0.2585%   | 0.102564%   | 1.007144%           | 98     |
| South Sudan           | 0.005    | 11,000,000   | 0.00188%  | 0.055%    | 0.102564%   | 0.159444%           | 16     |
| Spain                 | 1.580    | 48,600,000   | 0.5944%   | 0.243%    | 0.102564%   | 0.939964%           | 91     |
| Sri Lanka             | 0.084    | 21,900,000   | 0.031536% | 0.1095%   | 0.102564%   | 0.2436%             | 24     |
| Sudan                 | 0.030    | 48,100,000   | 0.01128%  | 0.2405%   | 0.102564%   | 0.354344%           | 35     |
| Suriname              | 0.005    | 623,000      | 0.00188%  | 0.003115% | 0.102564%   | 0.107559%           | 10     |
| Sweden                | 0.601    | 10,600,000   | 0.22638%  | 0.053%    | 0.102564%   | 0.381944%           | 38     |
| Switzerland           | 0.891    | 8,900,000    | 0.33528%  | 0.0445%   | 0.102564%   | 0.482344%           | 48     |
| Syria                 | 0.015    | 24,000,000   | 0.005648% | 0.12%     | 0.102564%   | 0.228212%           | 22     |
| Taiwan                | 0.790    | 23,500,000   | 0.29704%  | 0.1175%   | 0.102564%   | 0.517104%           | 50     |
| Tajikistan            | 0.011    | 10,300,000   | 0.004136% | 0.0515%   | 0.102564%   | 0.1582%             | 16     |
| Tanzania              | 0.090    | 67,400,000   | 0.03384%  | 0.337%    | 0.102564%   | 0.473404%           | 47     |
| Thailand              | 0.514    | 71,800,000   | 0.19732%  | 0.359%    | 0.102564%   | 0.658884%           | 65     |
| Timor-Leste           | 0.003    | 1,300,000    | 0.001129% | 0.0065%   | 0.102564%   | 0.110193%           | 11     |
| Togo                  | 0.008    | 8,900,000    | 0.003008% | 0.0445%   | 0.102564%   | 0.150072%           | 15     |
| Tonga                 | 0.001    | 107,000      | 0.000376% | 0.000535% | 0.102564%   | 0.103475%           | 10     |
| Trinidad & Tobago     | 0.030    | 1,400,000    | 0.01128%  | 0.007%    | 0.102564%   | 0.120844%           | 12     |
| Tunisia               | 0.055    | 12,400,000   | 0.02068%  | 0.062%    | 0.102564%   | 0.185244%           | 18     |
| Turkey                | 1.154    | 85,800,000   | 0.43504%  | 0.429%    | 0.102564%   | 0.966604%           | 93     |
| Turkmenistan          | 0.045    | 6,400,000    | 0.01692%  | 0.032%    | 0.102564%   | 0.151484%           | 15     |
| Tuvalu                | 0.0001   | 12,000       | 0.000038% | 0.00006%  | 0.102564%   | 0.102662%           | 10     |
| Uganda                | 0.049    | 47,100,000   | 0.018424% | 0.2355%   | 0.102564%   | 0.356488%           | 35     |
| Ukraine               | 0.161    | 36,800,000   | 0.06028%  | 0.184%    | 0.102564%   | 0.346844%           | 34     |
| United Arab Emirates  | 0.536    | 9,400,000    | 0.20264%  | 0.047%    | 0.102564%   | 0.352204%           | 34     |
| United Kingdom        | 3.592    | 67,000,000   | 1.35296%  | 0.335%    | 0.102564%   | 1.790524%           | 175    |
| United States         | 26.954   | 339,800,000  | 10.14152% | 1.699%    | 0.102564%   | 11.943084%          | 1167   |
| Uruguay               | 0.079    | 3,400,000    | 0.029736% | 0.017%    | 0.102564%   | 0.1493%             | 15     |
| Uzbekistan            | 0.090    | 36,000,000   | 0.03384%  | 0.18%     | 0.102564%   | 0.316404%           | 31     |
| Vanuatu               | 0.001    | 341,000      | 0.000376% | 0.001705% | 0.102564%   | 0.104645%           | 10     |
| Vatican City (est.)   | 0.001    | 800          | 0.000376% | 0.000004% | 0.102564%   | 0.102944%           | 10     |
| Venezuela             | 0.107    | 28,800,000   | 0.04066%  | 0.144%    | 0.102564%   | 0.287224%           | 28     |
| Vietnam               | 0.433    | 98,900,000   | 0.16324%  | 0.4945%   | 0.102564%   | 0.760304%           | 74     |
| Yemen                 | 0.027    | 34,400,000   | 0.01008%  | 0.172%    | 0.102564%   | 0.284644%           | 28     |
| Zambia                | 0.031    | 20,700,000   | 0.011672% | 0.1035%   | 0.102564%   | 0.217736%           | 21     |
| Zimbabwe              | 0.028    | 16,700,000   | 0.010456% | 0.0835%   | 0.102564%   | 0.19652%            | 19     |

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