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population

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Bullish Leo
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Bullish
🚨TOP 10 COUNTRIES DRIVING FUTURE #POPULATION GROWTH (2024-2037): 1. 🇮🇳 India: +147M 2. 🇳🇬 Nigeria: +65M 3. 🇵🇰 Pakistan: +59M 4. 🇨🇩 DRC: +51M 5. 🇪🇹 Ethiopia: +46M 6. 🇹🇿 Tanzania: +28M 7. 🇧🇩 Bangladesh: +25M 8. 🇮🇩 Indonesia: +25M 9. 🇪🇬 Egypt: +23M 10. 🇺🇸 U.S.: +21M -World of Statistics $ETH {spot}(ETHUSDT)
🚨TOP 10 COUNTRIES DRIVING FUTURE #POPULATION GROWTH (2024-2037):

1. 🇮🇳 India: +147M

2. 🇳🇬 Nigeria: +65M

3. 🇵🇰 Pakistan: +59M

4. 🇨🇩 DRC: +51M

5. 🇪🇹 Ethiopia: +46M

6. 🇹🇿 Tanzania: +28M

7. 🇧🇩 Bangladesh: +25M

8. 🇮🇩 Indonesia: +25M

9. 🇪🇬 Egypt: +23M

10. 🇺🇸 U.S.: +21M

-World of Statistics

$ETH
🔶️😇 The current world #population is 7.998 #billion as of November 2022  There's only 21 million #bitcoin, act wisely 🙋‍♀️☢️
🔶️😇

The current world #population is 7.998 #billion as of November 2022 

There's only 21 million #bitcoin, act wisely

🙋‍♀️☢️
🇨🇳 CHINA RISKS POPULATION COLLAPSE China is rapidly running out of mothers, and the number of women of reproductive age, defined by the United Nations as 15-to-49, is set to drop by more than two-thirds to under 100 million by the end of the century. They announced plans to build a "birth-friendly society" - pledging to implement measures long-called for by population experts, such as lowering childcare and education costs. However, China's push towards urbanization risks undermining the policy due to high housing costs, limited space, expensive education, and the need for both partners to work. #China #population #sustainability
🇨🇳 CHINA RISKS POPULATION COLLAPSE

China is rapidly running out of mothers, and the number of women of reproductive age, defined by the United Nations as 15-to-49, is set to drop by more than two-thirds to under 100 million by the end of the century.

They announced plans to build a "birth-friendly society" - pledging to implement measures long-called for by population experts, such as lowering childcare and education costs.

However, China's push towards urbanization risks undermining the policy due to high housing costs, limited space, expensive education, and the need for both partners to work.

#China #population #sustainability
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