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Ranked: The Fastest-Growing Jobs in the Next Decade

2026-01-03 23:09:07

Ranked: The Fastest-Growing Jobs in the U.S. Over the Next Decade

The Fastest-Growing Jobs in the U.S. in the Next Decade

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Care roles dominate job growth, with home health and personal care aides set to add nearly 740,000 jobs by 2034.
  • Tech jobs offer the best growth-pay mix, led by software developers adding 268,000 roles at $133K median pay.
  • Management roles pay the most, with computer and information systems managers earning $171K while adding 100K+ jobs.

Which jobs are adding the most openings over the next decade?

This visualization from USAFacts uses data from the Bureau of Labor Statistics (BLS) to forecast the fastest-growing jobs in the U.S. over the next decade.

Data on the Fastest-Growing Jobs to 2034

As the U.S. population continues to age, home health and personal care aides are the fastest-growing profession by far.

In the span of a decade, there will be a whopping 739,800 new positions in this field added nationwide. However, it’s worth mentioning that these jobs have one of the lowest median salaries on the list at under $35,000 per year.

Rank Occupation Projected New Jobs Median Annual Pay (2024)
1 Home health and personal care aides 739.8K $34.9K
2 Software developers 267.7K $133.1K
3 Stockers and order fillers 235.0K $37.1K
4 Fast food and counter workers 233.2K $30.5K
5 Cooks, restaurant 217.0K $36.8K
6 Registered nurses 166.1K $93.6K
7 General and operations managers 164.0K $103.0K
8 Medical and health services managers 142.9K $118.0K
9 Financial managers 128.8K $161.7K
10 Nurse practitioners 128.4K $129.2K
11 Construction laborers 106.5K $46.7K
12 Computer and information systems managers 101.6K $171.2K
13 Medical assistants 101.2K $44.2K
14 Management analysts 94.5K $101.2K
15 Heavy and tractor-trailer truck drivers 89.3K $57.4K
16 Data scientists 82.5K $112.6K
17 Substance abuse, behavioral disorder, and mental health counselors 81.0K $59.2K
18 Light truck drivers 78.9K $44.1K
19 Electricians 77.4K $62.4K
20 First-line supervisors of food preparation and serving workers 73.0K $42.0K

Tech careers, such as software developers and computer and information systems managers, also feature strongly in the mix, though it’s arguable that AI could impact some of these fields tremendously. Big tech companies famously slowed the hiring of developers in 2025.

Finally, it’s worth noting that there are some well-paying careers that make the list.

In terms of jobs with median earnings well over $100,000 per year, there are a few roles that hit the spot: data scientists ($112.6K), software developers ($133.1K), computer and information systems managers ($171.2K), financial managers ($161.7K), and nurse practitioners ($129.2K) are just a few that stand out.

Learn More on the Voronoi App

Which jobs are the safest from AI? See this infographic on Voronoi to see where the most job security lies.

Ranked: The Great Lakes by Maximum Depth

2026-01-03 21:06:55

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Map of The Great Lakes and their depths.

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Ranked: The Great Lakes by Maximum Depth

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Lake Superior is the deepest of the Great Lakes, plunging more than 1,300 feet at its lowest point.
  • Lake Erie is by far the shallowest Great Lake, with a maximum depth of just 210 feet.

The Great Lakes are one of North America’s most defining natural features. Together, they hold roughly 20% of the world’s surface fresh water and stretch across more than 94,000 square miles. While they are often discussed as a single system, each lake has a very different underwater landscape.

This visualization maps the maximum depth of each Great Lake, highlighting dramatic contrasts shaped by glaciers, geology, and time.

The data for this visualization comes from WorldAtlas, supported by bathymetric data from NOAA and geographic data from Natural Earth.

Lake Superior: The Deepest Freshwater Giant

Lake Superior is the undisputed heavyweight when it comes to depth. At 1,333 feet (406 meters), it is not only the deepest of the Great Lakes, but also the deepest freshwater lake in the United States. Its immense volume means it contains more water than the other four Great Lakes combined.

Lake Max Depth (feet) Max Depth (meters) U.S. States Bordered
Lake Superior 1,333 406 Minnesota, Wisconsin, Michigan
Lake Michigan 923 281 Michigan, Wisconsin, Illinois, Indiana
Lake Ontario 802 244 New York
Lake Huron 751 229 Michigan
Lake Erie 210 64 Michigan, Ohio, Pennsylvania, New York

Why is depth important? Depth plays a critical role in water temperature, circulation, ecosystems, and even shipping routes. Deeper lakes tend to warm more slowly, mix differently, and support distinct aquatic life compared to shallower ones.

Lake Superior’s depth contributes to colder average temperatures and powerful storms, making the lake both ecologically unique and notoriously dangerous for shipping. Its deep basins were carved by glaciers over thousands of years, leaving behind steep underwater cliffs and trenches.

Lakes Michigan, Ontario, and Huron: Deep but Distinct

Lake Michigan ranks second in depth at 923 feet (281 meters). Unlike the others, it is the only Great Lake located entirely within the United States. Its depth supports major commercial shipping lanes and a diverse aquatic ecosystem.

Lake Ontario follows closely with a maximum depth of 802 feet (244 meters), despite being the smallest by surface area. Lake Huron, at 751 feet (229 meters), appears shallower by comparison but still contains enormous volumes of water due to its sprawling size.

Lake Erie stands apart as the shallowest Great Lake, reaching just 210 feet (64 meters) at its deepest point. Its shallow depth allows it to warm quickly in summer and freeze more easily in winter.

Learn More on the Voronoi App

If you enjoyed today’s post, check out The World’s Forests on Voronoi, the new app from Visual Capitalist.

Charted: U.S. Population by Generation

2026-01-03 02:28:21

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Graphic showing U.S. population by generation in 2025.

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U.S. Population by Generation

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Millennials are the largest generation in the U.S., accounting for more than one in five Americans.
  • Boomers and Gen X together still make up nearly 40% of the population, reflecting the country’s aging demographic profile.

The age structure of the U.S. population is undergoing a major transition, as younger generations are becoming more prominent.

This visualization breaks down the U.S. population by generation in 2025, using data from the U.S. Census Bureau, as of 2025.

Millennials and Gen Z Are the Two Largest

Millennials, born between 1981 and 1996, are the largest generation in the U.S., with roughly 74 million people. They account for 22% of the total population and are now firmly in their prime working and family-forming years. Close behind is Generation Z, with over 71 million people, representing 21% of Americans.

Generation Birth Years Age Range (2025) Population Share of population
Silent Generation 1928–1945 80–97 13,741,630 4%
Baby Boomers 1946–1964 61–79 64,448,248 19%
Generation X 1965–1980 45–60 65,432,121 19%
Millennials 1981–1996 29–44 74,104,186 22%
Generation Z 1997–2012 13–28 71,146,116 21%
Generation Alpha 2013–2025 0–12 51,238,687 15%
Total Population - - 340,110,988 100%

Boomers and Gen X are a Major Demographical Force

Baby Boomers remain a major demographic force, totaling about 64 million people, or 19% of the population. Now aged 61 to 79, this group continues to impact healthcare demand, retirement systems, and wealth distribution. Generation X is nearly the same size, with 65 million people and an equal 19% share.

Meanwhile, generation Alpha, born from 2013 onward, already numbers more than 51 million people. Although they represent 15% of the population, their impact is still emerging. This cohort will shape future education systems, technology adoption, and long-term workforce trends.

At the opposite end of the spectrum, the Silent Generation now makes up just 4% of Americans.

Learn More on the Voronoi App

If you enjoyed today’s post, check out Why U.S. Homes Feel Pricier: House Prices vs. Income (1985–2025) on Voronoi, the new app from Visual Capitalist.

Every ‘Word of the Year’ According to Various Dictionaries (2020-2025)

2026-01-02 23:41:06

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Visualization of Dictionaries' words of the year from 2020 to 2025

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Every ‘Word of the Year’ According to Dictionaries (2020-2025)

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

It’s impossible to describe an entire year with just a single word, but the various major dictionaries try each year.

While it can’t capture all of the complexity a year had in store, the right word can be emblematic of a year’s social phenomena, newly established terminology, and shared cultural experiences over those 365 days.

This graphic visualizes the words of the year of five major dictionaries from 2020 to 2025, with the dictionaries’ sites (Dictionary.com, Merriam-Webster, Collins, Oxford, and Cambridge) being the source of the data.

How Dictionaries Choose Their Word of the Year

Dictionary.com, Collins, Merriam-Webster, Oxford, and Cambridge all treat their ‘Word of the Year’ as an editorial choice that is guided heavily by evidence of real-world usage and public interest.

Dictionary.com weighs cultural impact alongside signals like news and social trends, while Collins draws on its Collins Corpus of spoken and written English to spot words that rose to prominence.

Merriam-Webster and Cambridge lean strongly on lookup and search spikes on their sites, then apply editorial judgment (Cambridge also filters for zeitgeist and what’s linguistically notable).

Oxford combines corpus-based language research with editor curation and, in some years, public voting, before its team makes the final call.

In short: editors make the final pick, primarily using data from searches, written and spoken language, along with cultural trends.

Words That Defined Each Year From 2020 to 2025

With the words of the year of various dictionaries laid out clearly, it’s fascinating to see the trends that were felt most each year.

The table below shows the word of the year of major dictionaries from 2020 to 2025:

2020 2021 2022 2023 2024 2025
Dictionary.com pandemic allyship woman hallucinate demure 6-7
Merriam-Webster pandemic vaccine gaslighting authentic polarization slop
Collins lockdown NFT permacrisis AI Brat vibe coding
Oxford no word chosen vax goblin mode rizz brain rot rage bait
Cambridge quarantine perseverance homer hallucinate manifest parasocial

We can see how 2020 was defined by the pandemic, with pandemic, quarantine, and lockdown all chosen that year (while Oxford University Press didn’t choose a word that year).

While 2021’s words feature vaccine, vax, and perseverance, non-pandemic words and trends like NFT and allyship were part of the mix.

2023 brought AI-related words like hallucinate and AI into the mix, as it was ChatGPT’s first full year after launching in November of 2022.

In 2025, we’ve seen evolutions of more specific AI-related jargon like slop (sloppy or low-quality AI-made digital content) and vibe coding, which defines AI-driven software development through prompts rather than writing out the code oneself.

2025’s other words of the year like parasocial and rage bait define growing cultural trends and behaviors of an increasingly online world, while 6-7 remains a largely incomprehensible meme—ubiquitous among younger generations despite having no clear or widely agreed-upon meaning.

Learn More on the Voronoi App

If you liked this visualization, check out this graphic on Voronoi that breaks down the world’s most-spoken languages.

Ranked: The 30 Largest Cities in North America by Population

2026-01-02 21:02:05

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Map showing the 30 most populated cities in North America.

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Ranked: The 30 Largest Cities in North America in 2025

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Mexico City, New York City, and Los Angeles are the only three cities with populations exceeding 10 million.
  • The U.S. is home to 15 of the top 30 most populous cities in North America.

With 17.7 million residents, Mexico’s capital is bigger than New York City and Chicago combined.

Over the next decade, Mexico City is forecasted to add another 175,000 to its population. The Big Apple, in contrast, is set to shrink by about 189,000 residents.

This graphic shows the biggest North American cities by population, based on data from the United Nations World Urbanization Prospects 2025.

ℹUrban populations can be measured in different ways. In this methodology, the UN looks at satellite-mapped urban footprints for consistency. For this reason some city populations may not line up exactly as you may expect.

Where Are the Largest Cities in North America?

Below, we show the 30 most populous cities in North America in 2025:

Rank City Country 2025 Population
1 Mexico City 🇲🇽 Mexico 17,734,000
2 New York City 🇺🇸 U.S. 13,920,000
3 Los Angeles 🇺🇸 U.S. 12,740,000
4 Toronto 🇨🇦 Canada 5,494,000
5 Santo Domingo 🇩🇴 Dominican Republic 4,600,000
6 Guadalajara 🇲🇽 Mexico 4,135,000
7 Houston 🇺🇸 U.S. 3,955,000
8 Monterrey 🇲🇽 Mexico 3,938,000
9 Chicago 🇺🇸 U.S. 3,683,000
10 Washington, D.C. 🇺🇸 U.S. 3,270,000
11 San Francisco 🇺🇸 U.S. 3,163,000
12 Miami 🇺🇸 U.S. 2,912,000
13 Guatemala City 🇬🇹 Guatemala 2,838,000
14 Montreal 🇨🇦 Canada 2,669,000
15 Denver 🇺🇸 U.S. 2,266,000
16 Philadelphia 🇺🇸 U.S. 2,232,000
17 Las Vegas 🇺🇸 U.S. 2,184,000
18 San José 🇨🇷 Costa Rica 2,171,000
19 Phoenix 🇺🇸 U.S. 1,972,000
20 Puebla 🇲🇽 Mexico 1,948,000
21 San Diego 🇺🇸 U.S. 1,915,000
22 Port-au-Prince 🇭🇹 Haiti 1,868,000
23 Vancouver 🇨🇦 Canada 1,708,000
24 San Antonio 🇺🇸 U.S. 1,686,000
25 Boston 🇺🇸 U.S. 1,640,000
26 San Salvador 🇸🇻 El Salvador 1,615,000
27 Tegucigalpa 🇭🇳 Honduras 1,607,000
28 Havana 🇨🇺 Cuba 1,594,000
29 Tijuana 🇲🇽 Mexico 1,558,000
30 Panama City
🇵🇦 Panama 1,527,000

With the largest population by far, the Mexico City region drives almost 25% of Mexico’s GDP.

Trade and transportation is the capital’s most prominent sector, bolstered by shifting supply chains and nearshoring. After Mexico City, Guadalajara, known as the “Silicon Valley of Mexico” is the country’s second-most populous city, at 4.1 million.

Meanwhile, New York City sits at a population of 13.9 million in 2025. Since 2020, the financial hub has lost about 128,000 residents, with many moving to Florida, Texas, and California. In contrast, Los Angeles has grown by nearly 250,000 over the same period to reach 12.7 million.

Ranking fourth is Toronto, Canada’s leading financial center. Like Los Angeles, it has added roughly 250,000 residents since 2020, making it one of the country’s fastest-growing major cities. Looking ahead, Toronto is projected to grow by another 370,000 people over the next decade, largely driven by international migration.

Learn More on the Voronoi App

To learn more about this topic, check out this graphic on the two largest cities on every continent.

Mapped: Natural Resource Income as a Share of GDP

2026-01-02 01:36:52

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Map showing the share of a country’s economic output that comes from natural resources.

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Mapped: Natural Resource Income as a Share of GDP

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Libya derives over half of its GDP from natural resource rents, making the country highly exposed to commodity price swings.
  • Resource dependence is far more common in developing and energy-exporting economies than in advanced industrial nations.

Natural resources remain a powerful driver of economic output for many countries. From oil and gas to minerals and forests, these assets can generate enormous income, but they also create vulnerability. This visualization maps natural resource income as a share of GDP, highlighting which economies are most dependent on extracting and selling raw materials.

The data for this visualization comes from the World Bank Group. It measures natural resource rents as a share of GDP in 2021, defined as the economic surplus generated from oil, gas, coal, minerals, and forests after accounting for extraction costs.

Extreme Resource Dependence in Energy Exporters

A small group of countries sits at the extreme end of resource dependence. Libya tops the list, with natural resource rents accounting for 61% of its GDP, reflecting its heavy reliance on oil exports. Iraq, the Democratic Republic of Congo, and the Republic of Congo also derive more than one-third of their economic output from natural resources.

In these economies, government revenues, employment, and foreign exchange earnings are closely tied to global commodity prices.

Rank Country Natural Resources Income (% of GDP)
1 🇱🇾 Libya 61.03%
2 🇮🇶 Iraq 43.45%
3 🇨🇩 Democratic Republic of the Congo 38.83%
4 🇨🇬 Republic of Congo 37.71%
5 🇿🇲 Zambia 35.26%
6 🇹🇱 Timor-Leste 34.73%
7 🇬🇾 Guyana 33.68%
8 🇲🇳 Mongolia 33.14%
9 🇮🇷 Iran, Islamic Rep. 30.45%
10 🇦🇴 Angola 29.97%
11 🇦🇿 Azerbaijan 29.94%
12 🇴🇲 Oman 29.21%
13 🇵🇬 Papua New Guinea 27.39%
14 🇶🇦 Qatar 27.29%
15 🇰🇿 Kazakhstan 26.84%
16 🇸🇦 Saudi Arabia 25.57%
17 🇧🇳 Brunei Darussalam 24.28%
18 🇬🇶 Equatorial Guinea 23.50%
19 🇩🇿 Algeria 22.59%
20 🇱🇷 Liberia 21.92%
21 🇹🇩 Chad 21.34%
22 🇺🇿 Uzbekistan 20.47%
23 🇧🇫 Burkina Faso 20.14%
24 🇷🇺 Russia 18.51%
25 🇬🇦 Gabon 18.49%
26 🇲🇱 Mali 18.42%
27 🇸🇧 Solomon Islands 18.40%
28 🇨🇻 Cabo Verde 17.66%
29 🇦🇪 United Arab Emirates 17.63%
30 🇨🇱 Chile 16.90%
31 🇳🇨 New Caledonia 16.79%
32 🇧🇭 Bahrain 16.64%
33 🇲🇿 Mozambique 14.91%
34 🇧🇮 Burundi 13.96%
35 🇦🇺 Australia 13.36%
36 🇬🇭 Ghana 13.35%
37 🇸🇩 Sudan 12.75%
38 🇵🇪 Peru 12.72%
39 🇰🇬 Kyrgyz Republic 11.51%
40 🇲🇷 Mauritania 11.45%
41 🇸🇴 Somalia 11.24%
42 🇬🇼 Guinea-Bissau 10.43%
43 🇨🇫 Central African Republic 10.26%
44 🇳🇴 Norway 10.05%
45 🇸🇷 Suriname 9.59%
46 🇧🇴 Bolivia 9.47%
47 🇹🇯 Tajikistan 9.05%
48 🇸🇱 Sierra Leone 9.04%
49 🇲🇲 Myanmar 8.68%
50 🇳🇬 Nigeria 8.55%
51 🇧🇷 Brazil 7.94%
52 🇹🇬 Togo 7.86%
53 🇹🇹 Trinidad and Tobago 7.86%
54 🇺🇦 Ukraine 7.51%
55 🇺🇬 Uganda 7.48%
56 🇿🇦 South Africa 7.33%
57 🇦🇲 Armenia 7.05%
58 🇲🇾 Malaysia 6.92%
59 🇪🇨 Ecuador 6.70%
60 🇹🇿 Tanzania 6.69%
61 🇳🇪 Niger 6.41%
62 🇿🇼 Zimbabwe 6.40%
63 🇪🇹 Ethiopia 5.87%
64 🇲🇬 Madagascar 5.53%
65 🇨🇲 Cameroon 5.53%
66 🇱🇦 Lao PDR 5.38%
67 🇨🇴 Colombia 5.32%
68 🇮🇩 Indonesia 5.16%
69 🇪🇬 Egypt 5.14%
70 🇨🇦 Canada 4.95%
71 🇨🇮 Cote d'Ivoire 4.74%
72 🇬🇳 Guinea 4.52%
73 🇸🇳 Senegal 4.40%
74 🇱🇸 Lesotho 4.32%
75 🇲🇼 Malawi 4.22%
76 🇳🇦 Namibia 4.03%
77 🇷🇼 Rwanda 4.02%
78 🇳🇮 Nicaragua 3.84%
79 🇵🇦 Panama 3.66%
80 🇲🇽 Mexico 3.64%
81 🇮🇳 India 3.16%
82 🇸🇿 Eswatini 3.00%
83 🇬🇲 Gambia, The 2.86%
84 🇧🇹 Bhutan 2.73%
85 🇦🇷 Argentina 2.65%
86 🇻🇳 Viet Nam 2.55%
87 🇧🇯 Benin 2.30%
88 🇫🇯 Fiji 2.25%
89 🇹🇳 Tunisia 2.25%
90 🇩🇴 Dominican Republic 2.08%
91 🇵🇭 Philippines 1.97%
92 🇬🇹 Guatemala 1.93%
93 🇺🇾 Uruguay 1.93%
94 🇸🇹 Sao Tome and Principe 1.88%
95 🇧🇾 Belarus 1.86%
96 🇹🇭 Thailand 1.82%
97 🇷🇸 Serbia 1.75%
98 🇪🇪 Estonia 1.72%
99 🇨🇳 China 1.71%
100 🇰🇲 Comoros 1.63%
101 🇳🇿 New Zealand 1.49%
102 🇦🇱 Albania 1.44%
103 🇵🇰 Pakistan 1.44%
104 🇬🇪 Georgia 1.39%
105 🇵🇾 Paraguay 1.35%
106 🇺🇸 United States 1.28%
107 🇰🇪 Kenya 1.23%
108 🇭🇳 Honduras 1.22%
109 🇸🇪 Sweden 1.21%
110 🇱🇻 Latvia 1.17%
111 🇷🇴 Romania 1.14%
112 🇧🇼 Botswana 1.04%
113 🇵🇱 Poland 1.03%
114 🇽🇰 Kosovo 0.93%
115 🇧🇬 Bulgaria 0.92%
116 🇰🇭 Cambodia 0.84%
117 🇹🇷 Turkiye 0.83%
118 🇧🇦 Bosnia and Herzegovina 0.81%
119 🇨🇷 Costa Rica 0.76%
120 🇭🇷 Croatia 0.68%
121 🇲🇪 Montenegro 0.64%
122 🇧🇩 Bangladesh 0.61%
123 🇬🇧 United Kingdom 0.59%
124 🇻🇺 Vanuatu 0.57%
125 🇸🇻 El Salvador 0.54%
126 🇧🇿 Belize 0.52%
127 🇳🇵 Nepal 0.50%
128 🇯🇲 Jamaica 0.46%
129 🇫🇮 Finland 0.45%
130 🇮🇱 Israel 0.44%
131 🇦🇫 Afghanistan 0.43%
132 🇭🇺 Hungary 0.40%
133 🇨🇿 Czechia 0.39%
134 🇲🇦 Morocco 0.39%
135 🇳🇱 Netherlands 0.34%
136 🇩🇰 Denmark 0.34%
137 🇧🇧 Barbados 0.33%
138 🇭🇹 Haiti 0.33%
139 🇵🇹 Portugal 0.29%
140 🇱🇹 Lithuania 0.29%
141 🇼🇸 Samoa 0.28%
142 🇩🇯 Djibouti 0.28%
143 🇲🇩 Moldova 0.24%
144 🇸🇰 Slovak Republic 0.23%
145 🇸🇮 Slovenia 0.19%
146 🇲🇰 North Macedonia 0.14%
147 🇸🇨 Seychelles 0.12%
148 🇦🇹 Austria 0.12%
149 🇪🇸 Spain 0.12%
150 🇮🇹 Italy 0.11%
151 🇮🇪 Ireland 0.10%
152 🇬🇷 Greece 0.09%
153 🇱🇰 Sri Lanka 0.08%
154 🇯🇴 Jordan 0.08%
155 🇩🇪 Germany 0.08%
156 🇰🇷 Korea, Rep. 0.05%
157 🇯🇵 Japan 0.05%
158 🇧🇪 Belgium 0.04%
159 🇰🇮 Kiribati 0.04%
160 🇹🇴 Tonga 0.04%
161 🇩🇲 Dominica 0.03%
162 🇫🇷 France 0.03%
163 🇻🇨 St. Vincent and the Grenadines 0.02%
164 🇫🇲 Micronesia, Fed. Sts. 0.02%
165 🇧🇸 The Bahamas 0.01%
166 🇱🇨 St. Lucia 0.01%
167 🇨🇾 Cyprus 0.01%
168 🇨🇭 Switzerland 0.01%
169 🇱🇺 Luxembourg 0.00%
170 🇲🇻 Maldives 0.00%
171 🇵🇫 French Polynesia 0.00%
172 🇹🇨 Turks and Caicos Islands 0.00%
173 🇱🇧 Lebanon 0.00%
174 🇲🇺 Mauritius 0.00%
175 🇦🇼 Aruba 0.00%
176 🇭🇰 Hong Kong 0.00%
177 🇲🇴 Macao 0.00%
178 🇸🇬 Singapore 0.00%
179 🇮🇸 Iceland 0.00%
180 🇦🇩 Andorra 0.00%
181 🇦🇬 Antigua and Barbuda 0.00%
182 🇦🇸 American Samoa 0.00%
183 🇧🇲 Bermuda 0.00%
184 🇨🇺 Cuba 0.00%
185 🇨🇼 Curacao 0.00%
186 🇪🇷 Eritrea 0.00%
187 🇫🇴 Faroe Islands 0.00%
188 🇬🇩 Grenada 0.00%
189 🇬🇮 Gibraltar 0.00%
190 🇬🇱 Greenland 0.00%
191 🇬🇺 Guam 0.00%
192 🇮🇲 Isle of Man 0.00%
193 Channel Islands 0.00%
194 🇰🇳 St. Kitts and Nevis 0.00%
195 🇰🇵 North Korea 0.00%
196 🇰🇼 Kuwait 0.00%
197 🇰🇾 Cayman Islands 0.00%
198 🇱🇮 Liechtenstein 0.00%
199 🇲🇨 Monaco 0.00%
200 🇲🇫 St. Martin (French part) 0.00%
201 🇲🇭 Marshall Islands 0.00%
202 🇲🇵 Northern Mariana Islands 0.00%
203 🇲🇹 Malta 0.00%
204 🇳🇷 Nauru 0.00%
205 🇵🇷 Puerto Rico (U.S.) 0.00%
206 🇵🇸 West Bank and Gaza 0.00%
207 🇵🇼 Palau 0.00%
208 🇸🇲 San Marino 0.00%
209 🇸🇸 South Sudan 0.00%
210 🇸🇽 Sint Maarten (Dutch part) 0.00%
211 🇸🇾 Syrian Arab Republic 0.00%
212 🇹🇲 Turkmenistan 0.00%
213 🇹🇻 Tuvalu 0.00%
214 🇻🇪 Venezuela, RB 0.00%
215 🇻🇬 British Virgin Islands 0.00%
216 🇻🇮 Virgin Islands (U.S.) 0.00%
217 🇾🇪 Yemen, Rep. 0.00%

Many of the most resource-dependent countries are concentrated in the Middle East and Africa. Oil- and gas-rich nations such as Iran, Angola, Oman, Qatar, and Saudi Arabia feature prominently.

In sub-Saharan Africa, mineral exporters like Zambia and Mongolia, along with oil producers such as Equatorial Guinea and Chad, rely heavily on resource rents.

Advanced Economies Show Low Resource Reliance

In contrast, most advanced economies generate only a small share of GDP from natural resources. Countries such as the United States, Germany, Japan, France, and the United Kingdom all register resource rents near or below 1% of GDP.

Even resource-rich developed nations like Norway and Australia show relatively moderate dependence, reflecting diversified economies with strong manufacturing and services sectors.

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