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Charted: Who American Men and Women Spend Time With

2025-06-25 04:19:56

See this visualization first on the Voronoi app.

Who American Men and Women Spend Their Time With

Charted: Who American Men and Women Spend Time With

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Men spend significantly more time with coworkers during their working years, while women spend more time with children at nearly every age.
  • Time spent alone increases steadily with age, reaching over 8 hours daily in old age, particularly for women.
  • Friendship time peaks in the late teens and drops off quickly after entering the workforce and starting families.

The way Americans allocate their time across relationships shifts dramatically over a lifetime.

This visualization from Our World in Data uses figures from the American Time Use Survey, which has tracked daily activities and social context across age groups from 2010 to 2023.

Here’s a look at how time is spent with others—or alone—by age and gender:

Entity Year Family Friend Co-worker Partner Children Alone
All people 15 4.32 1.58 0.17 0.00 0.36 3.63
All people 16 4.12 1.53 0.40 0.00 0.40 3.87
All people 17 3.71 1.84 0.75 0.02 0.40 4.01
All people 18 3.80 2.04 1.36 0.10 0.49 4.35
All people 19 2.95 1.86 2.09 0.30 0.46 5.09
All people 20 2.95 1.82 2.33 0.39 0.74 5.03
All people 21 2.52 1.85 2.43 0.86 1.02 4.97
All people 22 2.28 1.48 2.72 0.81 1.02 5.28
All people 23 2.07 1.55 3.16 1.35 1.47 4.82
All people 24 1.84 1.47 3.26 1.61 1.48 4.84
All people 25 1.60 1.11 3.13 1.95 1.76 5.07
All people 26 1.41 1.18 3.21 2.30 1.85 5.04
All people 27 1.37 1.09 3.25 2.59 2.36 4.77
All people 28 1.22 0.97 3.25 2.77 2.79 4.78
All people 29 1.32 0.90 3.14 2.87 2.96 4.76
All people 30 1.08 0.78 3.36 3.00 3.13 4.67
All people 31 1.12 0.77 2.96 3.42 3.57 4.70
All people 32 1.00 0.71 3.17 3.30 3.67 4.67
All people 33 1.00 0.75 2.87 3.38 4.23 4.44
All people 34 1.05 0.60 2.89 3.38 4.22 4.65
All people 35 0.93 0.61 2.95 3.41 4.20 4.69
All people 36 0.99 0.61 2.81 3.20 4.18 4.87
All people 37 0.95 0.66 2.94 3.41 4.11 4.75
All people 38 0.94 0.60 3.02 3.32 4.19 4.77
All people 39 0.90 0.49 2.74 3.61 4.32 4.96
All people 40 0.80 0.52 2.92 3.33 3.93 5.07
All people 41 0.91 0.55 2.81 3.31 4.04 5.17
All people 42 0.78 0.60 2.98 3.17 3.67 5.25
All people 43 0.87 0.61 2.66 3.17 3.56 5.57
All people 44 0.88 0.56 2.75 3.27 3.53 5.49
All people 45 0.93 0.54 2.90 3.08 3.43 5.43
All people 46 0.89 0.56 2.67 3.21 3.02 5.84
All people 47 0.91 0.57 2.72 2.92 2.83 6.03
All people 48 0.92 0.46 2.75 3.28 2.56 5.81
All people 49 0.93 0.57 2.92 3.15 2.36 5.93
All people 50 1.03 0.43 2.62 2.90 2.20 6.42
All people 51 1.01 0.54 2.70 3.12 2.05 6.33
All people 52 1.08 0.49 2.76 3.20 1.75 6.51
All people 53 0.93 0.48 2.63 3.04 1.71 6.60
All people 54 0.96 0.52 2.85 2.98 1.48 6.51
All people 55 1.04 0.51 2.43 3.12 1.46 6.68
All people 56 1.07 0.57 2.46 3.33 1.30 6.58
All people 57 0.97 0.47 2.52 3.10 1.27 6.87
All people 58 1.13 0.54 2.25 2.98 1.10 7.03
All people 59 1.07 0.43 2.23 3.34 1.15 7.10
All people 60 1.07 0.55 2.03 3.32 1.06 7.17
All people 61 0.99 0.47 2.08 3.51 1.12 6.99
All people 62 0.94 0.48 1.49 3.75 1.00 7.30
All people 63 1.08 0.51 1.35 3.71 0.95 7.45
All people 64 0.97 0.52 1.35 3.77 0.93 7.55
All people 65 1.09 0.52 0.99 3.94 0.92 7.62
All people 66 1.13 0.57 0.82 4.17 0.95 7.46
All people 67 0.92 0.56 0.65 4.30 0.93 7.45
All people 68 0.92 0.62 0.64 4.21 0.91 7.55
All people 69 0.98 0.59 0.45 4.49 1.04 7.51
All people 70 0.91 0.67 0.47 4.22 0.88 7.62
All people 71 0.93 0.61 0.33 4.52 0.96 7.53
All people 72 0.89 0.61 0.31 4.23 0.74 8.06
All people 73 0.86 0.51 0.31 4.41 0.89 7.82
All people 74 0.92 0.53 0.22 4.23 0.81 7.87
All people 75 0.88 0.58 0.27 4.26 0.86 7.75
All people 76 0.80 0.56 0.24 4.61 0.73 7.64
All people 77 1.05 0.50 0.17 4.45 0.73 7.68
All people 78 0.94 0.59 0.06 4.42 0.73 7.73
All people 79 0.81 0.62 0.10 4.17 0.61 7.93
All people 80 0.98 0.53 0.11 3.86 0.73 7.96
All people 85 1.07 0.55 0.05 2.63 0.75 8.44
Men 15 4.07 1.64 0.22 0.00 0.27 3.88
Men 16 3.82 1.53 0.39 0.00 0.28 4.17
Men 17 3.27 1.95 0.86 0.00 0.25 4.49
Men 18 3.19 1.96 1.59 0.09 0.34 4.95
Men 19 2.52 2.04 2.19 0.29 0.20 5.59
Men 20 2.69 1.84 2.64 0.23 0.38 5.51
Men 21 2.13 2.26 2.72 0.63 0.51 5.53
Men 22 2.02 1.70 2.83 0.65 0.54 5.91
Men 23 1.92 1.84 3.20 1.25 0.76 5.31
Men 24 1.70 1.82 3.80 1.36 0.63 5.36
Men 25 1.49 1.38 3.67 1.73 1.00 5.61
Men 26 1.36 1.32 3.68 1.98 0.98 5.73
Men 27 1.29 1.21 3.57 2.36 1.52 5.44
Men 28 1.10 1.16 3.93 2.53 1.62 5.47
Men 29 1.07 1.05 3.82 2.83 1.69 5.37
Men 30 0.98 0.91 4.19 2.89 1.72 5.23
Men 31 1.07 0.83 3.56 3.49 2.50 5.28
Men 32 0.83 0.85 3.87 3.29 2.33 5.34
Men 33 0.94 0.85 3.52 3.53 3.16 4.90
Men 34 1.04 0.66 3.76 3.26 2.97 5.29
Men 35 0.79 0.64 3.54 3.61 3.20 5.19
Men 36 0.85 0.76 3.50 3.17 3.06 5.36
Men 37 0.73 0.77 3.69 3.62 3.16 5.08
Men 38 0.78 0.74 3.68 3.41 3.34 5.25
Men 39 0.85 0.48 3.09 3.90 3.54 5.47
Men 40 0.71 0.54 3.64 3.52 3.14 5.42
Men 41 0.93 0.44 3.41 3.46 3.26 5.45
Men 42 0.69 0.65 3.37 3.46 3.06 5.47
Men 43 0.72 0.63 3.19 3.16 2.81 6.07
Men 44 0.68 0.60 3.12 3.53 2.93 5.93
Men 45 0.80 0.53 3.62 3.36 3.03 5.42
Men 46 0.81 0.59 3.12 3.19 2.51 6.32
Men 47 0.72 0.61 3.17 3.23 2.32 6.24
Men 48 0.81 0.46 3.19 3.50 2.27 6.03
Men 49 0.82 0.67 3.07 3.18 2.17 6.28
Men 50 0.82 0.41 2.81 2.82 1.86 7.01
Men 51 0.83 0.46 2.96 3.22 1.82 6.63
Men 52 0.87 0.51 3.05 3.28 1.36 6.92
Men 53 0.76 0.39 2.92 3.12 1.52 6.90
Men 54 0.79 0.47 3.16 3.02 1.27 6.93
Men 55 0.81 0.52 2.83 3.23 1.12 7.03
Men 56 0.77 0.52 2.51 3.44 1.12 6.93
Men 57 0.65 0.45 3.13 3.13 0.94 7.04
Men 58 0.81 0.55 2.64 3.30 0.83 7.25
Men 59 0.96 0.47 2.32 3.46 1.00 7.40
Men 60 0.87 0.54 2.27 3.56 0.91 7.32
Men 61 0.83 0.49 2.46 3.66 0.97 7.00
Men 62 0.69 0.46 1.63 3.84 0.70 7.87
Men 63 0.96 0.53 1.45 3.82 0.72 7.82
Men 64 0.73 0.51 1.52 3.96 0.69 7.75
Men 65 0.81 0.55 1.25 4.15 0.77 7.86
Men 66 0.91 0.63 1.02 4.49 0.74 7.58
Men 67 0.76 0.56 0.74 4.55 0.76 7.69
Men 68 0.72 0.54 0.80 4.90 0.77 7.33
Men 69 0.81 0.62 0.47 4.86 0.80 7.62
Men 70 0.69 0.72 0.60 4.83 0.78 7.55
Men 71 0.69 0.61 0.49 5.15 0.76 7.54
Men 72 0.66 0.54 0.48 5.08 0.50 7.79
Men 73 0.74 0.47 0.41 5.36 0.85 7.37
Men 74 0.67 0.46 0.24 5.20 0.52 7.59
Men 75 0.70 0.64 0.32 5.37 0.67 7.08
Men 76 0.67 0.39 0.28 5.79 0.63 7.15
Men 77 0.96 0.48 0.28 5.77 0.62 6.90
Men 78 0.62 0.46 0.07 5.73 0.54 7.09
Men 79 0.47 0.51 0.16 5.55 0.41 7.44
Men 80 0.78 0.49 0.11 5.24 0.45 7.30
Men 85 0.80 0.47 0.08 4.49 0.65 7.42
Women 15 4.58 1.53 0.12 0.00 0.46 3.38
Women 16 4.45 1.54 0.41 0.00 0.53 3.52
Women 17 4.17 1.73 0.64 0.03 0.56 3.51
Women 18 4.43 2.12 1.13 0.11 0.64 3.73
Women 19 3.37 1.68 2.00 0.32 0.72 4.62
Women 20 3.27 1.80 1.93 0.58 1.20 4.42
Women 21 2.89 1.48 2.18 1.08 1.47 4.46
Women 22 2.54 1.26 2.60 0.99 1.51 4.63
Women 23 2.20 1.30 3.13 1.43 2.09 4.38
Women 24 1.99 1.11 2.71 1.86 2.33 4.31
Women 25 1.70 0.84 2.56 2.19 2.54 4.51
Women 26 1.47 1.04 2.75 2.63 2.72 4.35
Women 27 1.46 0.97 2.93 2.82 3.18 4.11
Women 28 1.34 0.78 2.57 3.00 3.94 4.10
Women 29 1.57 0.74 2.46 2.92 4.23 4.15
Women 30 1.17 0.64 2.52 3.12 4.56 4.10
Women 31 1.18 0.72 2.39 3.36 4.61 4.14
Women 32 1.18 0.58 2.44 3.31 5.05 3.98
Women 33 1.05 0.65 2.26 3.25 5.22 4.01
Women 34 1.07 0.54 2.04 3.50 5.44 4.02
Women 35 1.07 0.58 2.38 3.21 5.18 4.20
Women 36 1.12 0.47 2.20 3.23 5.16 4.43
Women 37 1.15 0.55 2.22 3.21 5.01 4.44
Women 38 1.08 0.47 2.38 3.23 4.99 4.30
Women 39 0.97 0.51 2.34 3.28 5.21 4.38
Women 40 0.89 0.50 2.19 3.15 4.72 4.72
Women 41 0.90 0.64 2.27 3.18 4.73 4.92
Women 42 0.88 0.55 2.57 2.87 4.30 5.02
Women 43 1.00 0.60 2.17 3.18 4.27 5.09
Women 44 1.08 0.53 2.40 3.02 4.11 5.06
Women 45 1.05 0.55 2.19 2.80 3.82 5.45
Women 46 0.97 0.53 2.24 3.23 3.51 5.38
Women 47 1.10 0.52 2.28 2.62 3.33 5.82
Women 48 1.03 0.47 2.31 3.05 2.86 5.58
Women 49 1.02 0.48 2.80 3.12 2.52 5.64
Women 50 1.24 0.46 2.43 2.97 2.54 5.83
Women 51 1.18 0.62 2.46 3.01 2.26 6.04
Women 52 1.27 0.48 2.49 3.12 2.11 6.13
Women 53 1.09 0.56 2.35 2.97 1.88 6.31
Women 54 1.13 0.58 2.54 2.93 1.69 6.09
Women 55 1.25 0.51 2.07 3.03 1.77 6.37
Women 56 1.35 0.62 2.42 3.22 1.48 6.26
Women 57 1.28 0.49 1.93 3.06 1.60 6.70
Women 58 1.42 0.54 1.90 2.68 1.34 6.84
Women 59 1.18 0.40 2.15 3.23 1.29 6.80
Women 60 1.26 0.56 1.81 3.10 1.20 7.03
Women 61 1.14 0.45 1.71 3.37 1.27 6.97
Women 62 1.16 0.49 1.37 3.66 1.27 6.80
Women 63 1.19 0.50 1.27 3.61 1.16 7.11
Women 64 1.19 0.54 1.19 3.59 1.15 7.36
Women 65 1.35 0.48 0.75 3.75 1.07 7.40
Women 66 1.32 0.52 0.65 3.91 1.12 7.37
Women 67 1.07 0.56 0.57 4.08 1.08 7.24
Women 68 1.10 0.69 0.49 3.59 1.03 7.76
Women 69 1.14 0.57 0.42 4.15 1.26 7.41
Women 70 1.10 0.64 0.36 3.65 0.97 7.68
Women 71 1.14 0.61 0.19 3.99 1.12 7.52
Women 72 1.07 0.67 0.17 3.55 0.95 8.29
Women 73 0.96 0.55 0.22 3.61 0.93 8.20
Women 74 1.12 0.59 0.21 3.41 1.05 8.10
Women 75 1.02 0.54 0.23 3.41 1.00 8.27
Women 76 0.89 0.67 0.22 3.81 0.80 7.97
Women 77 1.11 0.51 0.09 3.38 0.82 8.31
Women 78 1.19 0.69 0.04 3.39 0.87 8.24
Women 79 1.10 0.72 0.05 3.00 0.78 8.34
Women 80 1.12 0.57 0.11 2.85 0.93 8.44
Women 85 1.23 0.60 0.04 1.53 0.81 9.05

Teenage years are dominated by family and friends, but that balance shifts sharply after high school. Men spend more time with friends early on, while women log more time with family throughout life.

One of the most striking transitions is how coworkers, partners, and children become central during adulthood, then fade again in later years.

From Childhood to Career

In adolescence, time with family steadily declines, replaced in part by more time with friends—peaking at nearly 2 hours per day for both genders. But once people enter their twenties, time with friends drops off, and work enters the picture.

Men spend more hours with coworkers than women, especially during prime working ages (25–55). Conversely, women consistently spend more time with children across all ages, peaking at over 5 hours per day in their mid-30s.

Partners also take a growing share of social time from age 25 onward. Both men and women spend around 3–5 hours daily with their partners by retirement.

Later Life: Time Alone and With Partners

By the time Americans hit their sixties, social circles shrink. Coworker time drops sharply, and children are mostly out of the house. What replaces it? For many, it’s time alone.

Time spent alone increases with age, reaching 8–9 hours per day by age 80. While this doesn’t necessarily equate to loneliness—many people enjoy solitude—it does highlight the social transformation of aging.

Interestingly, partner time remains steady into older age, especially for men, many of whom spend more time with their partners in their 70s than at any other life stage.

Learn More on the Voronoi App

If this kind of insight piqued your interest, you may also enjoy our interactive post on how much time you have left to live—a data-driven look at mortality, life expectancy, and how we prioritize our remaining time.

Ranked: The Most Popular eCommerce Sites in America

2025-06-25 01:45:49

See this visualization first on the Voronoi app.

Circle graphic showing the top ecommerce retailers based on monthly app users and site visitors in the U.S.

Use This Visualization

The Top eCommerce Retailers by U.S. Web Traffic

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Retail giant Amazon draws more than double the web traffic as Walmart, its largest competitor.
  • Commanding about 40% of the U.S. ecommerce market, Amazon’s dominance in app users is even greater—outpacing the next four biggest competitors combined.
  • China-based Temu now ranks as the third-most popular ecommerce app in America, with its market share projected to triple to 2.3% in 2025.

U.S. ecommerce retailers generated $300.2 billion in sales in the first quarter of 2025—accounting for 16.2% of the total.

Not only do Amazon and Walmart drive the majority of sales, unsurprisingly, they drive the majority of traffic and app users. However, a number of platforms including Etsy and eBay attract millions of visitors thanks to their distinct business models.

This graphic shows the most visited sites and apps for ecommerce retailers, based on data from Similarweb.

Amazon Dominates Traffic Across eCommerce Retailers

Between October and December 2024, Amazon brought in an average of 390 million monthly active users to its site, surpassing Walmart’s 166 million.

Meanwhile, online platform eBay ranked in third, attracting 106 million visitors. Today, eBay along with Etsy, are investing in algorithm-based personalization tools that mirror TikTok to drive sales.

Rank Domain Monthly Unique Visitors
1 amazon.com 390M
2 walmart.com 166M
3 ebay.com 106M
4 target.com 96M
5 etsy.com 86M

When it comes to app users, Amazon dominates once again—but Temu is quickly catching up. With 89 million active users, it stood as the most downloaded app in the country in 2024.

As the table below shows, Amazon saw 255 million monthly active users between October and December while Temu witnessed 69 million.

Rank App Monthly Active Users
1 Amazon 255M
2 Walmart 96M
3 Temu 69M
4 Target 39M
5 eBay 35M

In many ways, legacy U.S. retailers attract the highest number of users thanks to their broad consumer base.

On the other hand, Temu’s expansion into the U.S. market is on shaky ground. Following sweeping tariff announcements in April, Temu’s U.S. daily users plummeted 48% between March and May.

Learn More on the Voronoi App

To learn more about this topic from Amazon’s revenue perspective, check out this graphic on how it makes its billions.

Millionaire Hubs: Mapping the World’s Wealthiest Cities

2025-06-24 23:32:00

Published

16 hours ago

on

The following content is sponsored by Terzo
A world map with city spikes sized according to the millionaire population showing that New York City has the most millionaires.

Millionaire Hubs: Mapping the World’s Wealthiest Cities

Key Takeaways

  • At nearly 400,000, New York City has the biggest millionaire population thanks to its status as a global financial hub.
  • The Bay Area comes in second place, and is one of the fastest-growing wealth regions globally.
  • Tokyo takes the third spot, attracting millionaires given it has a high quality of living and is home to giant companies like Sony.

Where do the world’s wealthiest live? Globally, the millionaire population is clustered in urban centers that offer business-friendly environments and attractive lifestyles. 

In this Markets in a Minute graphic created in partnership with Terzo, we highlight the cities with the most millionaires.

Tracking the Millionaire Hotspots

Henley & Partners, the source of our data, defines a millionaire as someone with liquid investable assets exceeding $1 million, excluding real estate.

The U.S. dominates the list, taking up seven slots or nearly 30% of the top 25 cities.

Rank City/Area Country/Region Number of Millionaires
1 New York City 🇺🇸 U.S. 384,500
2 The Bay Area 🇺🇸 U.S. 342,400
3 Tokyo 🇯🇵 Japan 292,300
4 Singapore 🇸🇬 Singapore 242,400
5 Los Angeles 🇺🇸 U.S. 220,600
6 London 🇬🇧 UK 215,700
7 Paris 🇫🇷 France 160,100
8 Hong Kong 🇭🇰 Hong Kong 154,900
9 Sydney 🇦🇺 Australia 152,900
10 Chicago 🇺🇸 U.S. 127,100
11 Milan 🇮🇹 Italy 115,000
12 Beijing 🇨🇳 China 114,300
13 Osaka–Kyoto–Kobe 🇯🇵 Japan 112,200
14 Shanghai 🇨🇳 China 110,500
15 Toronto 🇨🇦 Canada 108,400
16 Melbourne 🇦🇺 Australia 94,000
17 Houston 🇺🇸 U.S. 81,800
18 Dubai 🇦🇪 UAE 81,200
19 Frankfurt 🇩🇪 Germany 80,300
20 Zurich 🇨🇭 Switzerland 77,800
21 Dallas 🇺🇸 U.S. 72,400
22 Geneva 🇨🇭 Switzerland 70,200
23 Munich 🇩🇪 Germany 69,800
24 Seoul 🇰🇷 South Korea 66,000
25 Seattle 🇺🇸 U.S. 53,100

Data as of December 2024 and figures rounded to the nearest 100.

America’s three most populous cities—New York City, Los Angeles, and Chicago—are all within the top 10 spots. In New York City, one in every 22 residents is a millionaire.

The Bay Area, which includes San Francisco and Silicon Valley, comes in at second place. In the last 10 years, the number of millionaires has nearly doubled. The Bay Area is fertile ground for wealth given its status as the world’s top startup capital, commanding nearly two-thirds of global venture funding.

Wealth Hubs in Asia and Europe

Tokyo has the most millionaires in Asia. Home to companies like Sony, Toyota, and MUFG, the city has a strong mix of technology, manufacturing, and finance. 

Singapore follows closely behind in the fourth spot. The island nation offers three options for investors to gain permanent residency in exchange for making a significant financial investment in Singapore. These “residence by investment” programs are a strong attractor for wealthy individuals, and are a feature of seven of the 10 wealthiest cities in this ranking. 

In Europe, London has the most millionaires. However, London is the only city in the top 25 to see a decline in millionaires over the last decade. The outflow of wealthy people is due to a number of factors, including high taxes, the growing dominance of the U.S. and Asia in tech, and the declining importance of the London Stock Exchange.

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Ranked: U.S. Cities With the Most and Least Health Insurance

2025-06-24 22:41:03

See this visualization first on the Voronoi app.

A map showing the most and least insured cities in the U.S.

Use This Visualization

Top and Bottom U.S. Cities by Health Insurance Coverage

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

In 2023, 92% or 305 million Americans had health insurance, either for some or all of the year.

Health insurance coverage varies widely across the country, shaped by differences in state policies, economic conditions, and local job markets.

This map shows the top and bottom U.S. metropolitan areas by share of residents with health insurance, based on data from the U.S. Census Bureau.

Data is for 2023 and shows the share of civilian noninstitutionalized population with health coverage, public or private.

Cities With the Highest Rates of Health Insurance Coverage

In this table, we show the top U.S. metro areas by share of residents with health insurance.

Ranking Metropolitan area Share of population with health insurance coverage
1 Amherst Town-Northampton, MA 98.4
2 Pittsfield, MA 98.2
3 Grand Forks, ND-MN 97.7
4 Boston-Cambridge-Newton, MA-NH 97.4
5 Worcester, MA 97.3
5 Decatur, IL 97.3
5 Barnstable Town, MA 97.3
8 Sandusky, OH 97.1
8 Jackson, MI 97.1
8 Glens Falls, NY 97.1
8 Ann Arbor, MI 97.1

Amherst, Massachusetts was the most insured metro area in the U.S. in 2023, with 98.4% of its residents covered under some sort of health insurance.

The cities with the highest rates of health insurance coverage are mostly concentrated in Massachusetts—one of the top states by median income and average hourly wage—and the Midwest.

Massachusetts is also one of the most highly educated states, which has shown to have a correlation with health insurance coverage.

Cities With the Lowest Rates of Health Insurance Coverage

Below we show the bottom U.S. metro areas by share of residents with health insurance.

Ranking Metropolitan area Share of population with health insurance coverage
384 Dalton, GA 83.9
385 Sherman-Denison, TX 82.9
386 Houston-Pasadena-The Woodlands, TX 81.9
387 Beaumont-Port Arthur, TX 80.8
388 Eagle Pass, TX 79.9
389 El Paso, TX 78.2
390 Odessa, TX 77.2
391 Brownsville-Harlingen, TX 76.5
392 McAllen-Edinburg-Mission, TX 74.7
393 Laredo, TX 70.7

Laredo, a border city in Southern Texas was the metro area with the lowest share of residents with health insurance at 70.7%.

Texas dominates the bottom of the ranking, with 7 of the 10 lowest-coverage metro areas. Many border cities including Laredo, McAllen (74.7%), and Brownsville (76.5%) have some of the lowest rates of insured populations.

Texas is one of 10 states that did not expand Medicaid under the Affordable Care Act.

It also has some of the highest health care insurance costs in the country, which contributes to its relatively lower share of insured residents.

Learn More on the Voronoi App

To learn health care insurance in the U.S., check out this graphic that visualizes life expectancy and health spending per capita across developed nations.

Ranked: The 50 Poorest Countries by GDP Per Capita in 2025

2025-06-24 20:11:39

See this visualization first on the Voronoi app.

This chart ranks the 50 poorest countries in the world by GDP per capita, according to figures from the International Monetary Fund.

Use This Visualization

Ranked: The 50 Poorest Countries by GDP Per Capita in 2025

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • India, the 4th largest country by GDP, ranks 50th in the world’s poorest countries by GDP per capita in 2025 ($2,878).
  • South Sudan is the poorest country in the world by GDP per capita at, $251.

GDP per capita offers a quick litmus test of how wealth is generated per person within a country. By dividing total economic output by population, it levels the playing field between nations of very different sizes.

The infographic above highlights the 50 poorest countries in the world by this measure, based on 2025 estimates from the International Monetary Fund.

All values are in 2025 U.S. dollars. Data is missing for Afghanistan, Eritrea, Lebanon, Pakistan, Sri Lanka, Syria, Palestine.

ℹ GDP per capita doesn’t account for: local prices, currency exchange rates, or distribution variance within the country. There’s also a more existential question of whether economic output can be equated to wealth.

Measuring Relative Economic Productivity

South Sudan is the poorest country in the world in 2025, with a $251 GDP per capita.

More startlingly, India makes the list as well. It’s the 50th poorest by GDP per capita ($2,878), a rare case of a top-five economy by GDP having low levels of individual productivity.

Rank Country Region GDP Per Capita (2025)
1 🇸🇸 South Sudan Africa $251
2 🇾🇪 Yemen Middle East $417
3 🇧🇮 Burundi Africa $490
4 🇨🇫 Central
African Republic		 Africa $532
5 🇲🇼 Malawi Africa $580
6 🇲🇬 Madagascar Africa $595
7 🇸🇩 Sudan Africa $625
8 🇲🇿 Mozambique Africa $663
9 🇨🇩 DRC Africa $743
10 🇳🇪 Niger Africa $751
11 🇸🇴 Somalia Africa $766
12 🇳🇬 Nigeria Africa $807
13 🇱🇷 Liberia Africa $908
14 🇸🇱 Sierra Leone Africa $916
15 🇲🇱 Mali Africa $936
16 🇬🇲 Gambia Africa $988
17 🇹🇩 Chad Africa $991
18 🇷🇼 Rwanda Africa $1,043
19 🇹🇬 Togo Africa $1,053
20 🇪🇹 Ethiopia Africa $1,066
21 🇱🇸 Lesotho Africa $1,098
22 🇧🇫 Burkina Faso Africa $1,107
23 🇬🇼 Guinea-Bissau Africa $1,126
24 🇲🇲 Myanmar Asia $1,177
25 🇹🇿 Tanzania Africa $1,280
26 🇿🇲 Zambia Africa $1,332
27 🇺🇬 Uganda Africa $1,338
28 🇹🇯 Tajikistan Asia $1,432
29 🇳🇵 Nepal Asia $1,458
30 🇹🇱 Timor-Leste Asia $1,491
31 🇧🇯 Benin Africa $1,532
32 🇰🇲 Comoros Africa $1,702
33 🇸🇳 Senegal Africa $1,811
34 🇨🇲 Cameroon Africa $1,865
35 🇬🇳 Guinea Africa $1,904
36 🇱🇦 Laos Asia $2,096
37 🇿🇼 Zimbabwe Africa $2,199
38 🇨🇬 Congo Africa $2,356
39 🇸🇧 Solomon
Islands		 Oceania $2,379
40 🇰🇮 Kiribati Oceania $2,414
41 🇰🇪 Kenya Africa $2,468
42 🇲🇷 Mauritania Africa $2,478
43 🇬🇭 Ghana Africa $2,519
44 🇵🇬 Papua New
Guinea		 Oceania $2,565
45 🇭🇹 Haiti Americas $2,672
46 🇧🇩 Bangladesh Asia $2,689
47 🇰🇬 Kyrgyz Republic Asia $2,747
48 🇰🇭 Cambodia Asia $2,870
49 🇨🇮 Côte d'Ivoire Africa $2,872
50 🇮🇳 India Asia $2,878
N/A 🌎 World World $14,213

Nigeria (8th poorest, $807) is another less dramatic example of large economy whose population brings down its GDP per capita.

However, the gap between the poorest and even moderately poor countries is vast. South Sudan at $251 per capita has roughly one-eleventh the GDP per capita of India at $2,878, despite both making this list.

Some Pacific island nations also appear on the list (Solomon Islands, Kiribati). These small, isolated economies face unique economic challenges with limited diversification opportunities.

This seems counterintuitive, since other small islands (especially in the Caribbean) tend to be some of the richest territories in the world.

However there is difference between the two groups. The latter have historical colonial relationships that provide institutional advantages—like sophisticated legal and financial infrastructure.

Regional Trends Amongst the World’s Poorest Countries

Noticeably, most of these economies are clustered in Sub‑Saharan Africa, with a handful from South Asia and the Pacific.

Chronic conflict, fragile institutions, and limited industrial bases continue to suppress income growth in many of them, even as the global economy rebounds after the pandemic.

Africa in particular is heavily underrepresented on the world stage. It accounts for 19% of the global population and only 3% of the $113 trillion world economy.

Learn More on the Voronoi App

Want to see how the other half lives? Check out: 50 Richest Countries by GDP Per Capita in 2025 on Voronoi, the new app from Visual Capitalist.

Charted: Top 10 Companies Leading the New Era of AI

2025-06-24 02:12:31

See this visualization first on the Voronoi app.

Top AI companies shaping the future, with OpenAI, Databricks, and Canva leading CNBC’s 2025 Disruptor 50 list.

Use This Visualization

Top 10 Companies Leading the New Era of AI

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • The top five companies on the list have a combined valuation of just under $500 billion.
  • ChatGPT’s $40 billion fundraising round, valuing it at $300 billion, was the most ever raised by a private tech company.

AI is transforming everything from finance to national defense, and the companies leading this wave are growing fast. This visualization ranks the top 10 most disruptive AI companies in 2025 based on CNBC’s annual list. It reveals which firms are attracting the most investment and attention as they shape the future of artificial intelligence.

The data for this visualization comes from CNBC’s 13th annual Disruptor 50 list.

Massive Valuations at the Top

The five most valuable companies on the list—Anduril, OpenAI, Databricks, Anthropic, and Canva—have a combined valuation near $500 billion.

OpenAI alone is valued at $300 billion following a record $40 billion fundraising round. In 2025, investment in generative AI continues to outpace other tech sectors.

Diverse Applications of AI

The companies span sectors from defense to design. Anduril builds AI-powered drones, while Canva applies AI to streamline creative design for millions.

Company Country Tech Description Valuation
Anduril 🇺🇸 Builds and tests drones for the U.S. Air Force $31B
OpenAI 🇺🇸 The creator of ChatGPT, DALL·E 3, and Sora $300B
Databricks 🇺🇸 Organizes and analyzes data in the cloud $62B
Anthropic 🇺🇸 Builds safety-focused AI like Claude $62B
Canva 🇦🇺 Creative design worldwide, with 39M designs a day $32B
Ramp 🇺🇸 Credit card and bill management with AI $13B
Flock Safety 🇺🇸 Police tech, surveillance technology $8B
AlphaSense 🇺🇸 Uses AI to extract insights from documents $4B
Octopus Energy 🇬🇧 The largest energy supplier in the UK, with AI-powered platform $9B
Stripe 🇺🇸 Backend billing infrastructure for companies $96B
Revolut 🇬🇧 Digital banking with over 50M users $45B
Thrive Market 🇺🇸 Online grocery company with more than 1.6 million paying members N/A

Meanwhile, AlphaSense and Ramp use AI to extract document insights and manage finances. According to Gartner, such vertical integration of AI into core operations is a hallmark of high-growth startups.

Global Footprint with U.S. Dominance

Although most of the top companies are U.S.-based, notable entries like Canva (Australia) and Revolut (UK) show the global nature of AI disruption. Octopus Energy, another UK-based firm, leverages AI to optimize electricity distribution.

As noted by the World Economic Forum, AI adoption outside the U.S. is accelerating, particularly in energy and fintech.

Learn More on the Voronoi App

If you enjoyed today’s post, check out ChatGPT vs X: Site Traffic Growth on Voronoi, the new app from Visual Capitalist.