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Generation Rent: How Millennials are Fueling the Rental Economy

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It’s long been said that millennials have the power to disrupt and reshape entire industries.

Most recently, this effect has been seen in the retail landscape, where millennial spending habits are setting the tone for the market’s future.

Not only does the millennial generation demand the convenience of making instant purchases—but they can now rent almost anything they want, anytime, and anywhere.

Visualizing the Growth of the Rental Economy

Today’s infographic from Adweek takes a deeper look at the consumer goods rental economy, and the potential long-term impact of this shift in buyer behavior.

Although the current market for rentals is still in its early stages, the sheer momentum that the industry has gained in the last year is enough to threaten even the largest retailers—forcing them to reconsider their own business models.

millennial generation renting

The data for the visualization above comes from market research company Lab 42. In a survey of 500 people, they found that 94% of the U.S. population has participated in the sharing economy in one way or another.

While the sharing economy spotlight typically shines on global behemoths like Airbnb and Uber, the research used to populate this infographic focuses on renting consumer goods for a short period of time, as a sub-segment of the sharing economy.

The Renting Revolution

Offerings within the rental sector have exploded over the last decade, with furniture being the number one category that consumers rent.

According to the infographic, reasons for renting furniture include:

  • Temporary housing: 45%
  • Expensive upfront costs: 43%
  • Testing products before committing: 41%
  • Hosting events at home: 35%
  • Moving into a new home: 29%
  • Redesigning a house: 27%

Other products that consumers rent include gaming systems, clothes, tools, and technology. Female renters are more likely to rent furniture, clothes, and jewelry, while male renters are more likely to rent tools and gaming systems.

Renting goods is predominantly done on an as-needed basis. The Lab 42 report states that for clothing, 77% of respondents indicate that they either rent, or would rent for a formal event.

The End of Ownership?

Despite the common misconception that millennials are driven by emotional needs, the reasons behind why they rent consumer goods are much more pragmatic.

  • Test things before purchasing: 57%
  • Need a temporary solution: 55%
  • Need an item or a service for a short time-frame : 52%
  • Less expensive than buying: 43%
  • More convenient than buying: 42%

Further, only 6% said that they rent because they do not like owning things. This tells us that the rental economy does not indicate the end of ownership, but rather, provides a strategy for consumers to try before they buy.

Attitudes Towards Sustainability

According to the research, very few millennials choose to rent consumer goods because it is better for the environment. However, Nielsen claim that 73% of millennials are willing to pay more money for sustainable offerings—impacting both retail and rental industries.

As evidence of this, Ikea will test a range of subscription-based leasing offers in all 30 of its markets by 2020 in a bid to appeal to environmentally conscious consumers and boost its sustainability credentials. If Ikea’s evolving business model is a success, it could open the floodgates for others to follow suit.

A Promising Market

In the clothing rental space, brands like Rent the Runway pave the way, but there has also been an explosion of startups entering the market in the last year.

One example is the monthly subscription service Nuuly. The company offers consumers access to over 100 third-party brands and vintage items. Consumers can borrow up to six items a month for $88. Similarly, American Eagle’s Style Drop program rents out the latest collections for a flat monthly fee of $49.95.

As more companies incorporate short-term rental services into their offerings, more millennials will shift their behavior from buying to renting—disrupting the traditional retail business model as we know it. With that being said, the impact of millennials having it all, and owning none of it, is yet to be determined.

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Healthcare

Charted: Average Years Left to Live by Age

Visualizing the number of years left to live for Americans at every age, reveals the broader trends in American life expectancy.

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Chart showing the average years left to live at every age for men and women.

How Many Years Do You Have Left to Live?

At the start of the 19th century, when there fewer than 1 billion humans on the earth, global life expectancy at birth stood at roughly 29 years.

This is a startlingly low figure—because life expectancy is a statistical projection of how many more years a person can expect to live, based on the mortality rates at the time. And since the infant mortality rate in particular was so high, life expectancies accurately summarized the low likelihood of many babies living to adulthood.

However, since the 1920s, life expectancy across all ages has improved leaps and bounds, thanks to rapid advancements in nutrition, healthcare, and sanitation.

We visualized the current American life expectancy by age and gender, using data from the Office of Social Security, which bases their current projections on 2020 mortality rates.

American Life Expectancy at Every Age

A key takeaway with life expectancy is that it increases as one gets older. This is easily seen in the table below, which lists the remaining years left to live at a given age for an American male and the projected life expectancy.

AgeYears Remaining (Men)Life Expectancy (Men)
074.1274.12
173.5574.55
272.5874.58
371.6074.60
470.6274.62
569.6374.63
668.6474.64
767.6574.65
866.6574.65
965.6674.66
1064.6774.67
1163.6874.68
1262.6974.69
1361.7074.70
1460.7174.71
1559.7374.73
1658.7674.76
1757.7974.79
1856.8474.84
1955.9074.90
2054.9774.97
2154.0475.04
2253.1275.12
2352.2175.21
2451.3075.30
2550.3975.39
2649.4875.48
2748.5775.57
2847.6675.66
2946.7675.76
3045.8675.86
3144.9775.97
3244.0776.07
3343.1876.18
3442.2976.29
3541.3976.39
3640.5076.50
3739.6276.62
3838.7376.73
3937.8576.85
4036.9776.97
4136.0977.09
4235.2177.21
4334.3477.34
4433.4677.46
4532.5977.59
4631.7377.73
4730.8777.87
4830.0178.01
4929.1778.17
5028.3378.33
5127.5078.50
5226.6778.67
5325.8678.86
5425.0679.06
5524.2779.27
5623.4879.48
5722.7179.71
5821.9579.95
5921.2180.21
6020.4780.47
6119.7480.74
6219.0381.03
6318.3281.32
6417.6381.63
6516.9481.94
6616.2682.26
6715.5882.58
6814.9182.91
6914.2483.24
7013.5983.59
7112.9483.94
7212.3084.30
7311.6784.67
7411.0585.05
7510.4685.46
769.8885.88
779.3286.32
788.7786.77
798.2587.25
807.7487.74
817.2588.25
826.7788.77
836.3189.31
845.8889.88
855.4790.47
865.0791.07
874.7091.70
884.3592.35
894.0293.02
903.7293.72
913.4494.44
923.1895.18
932.9695.96
942.7596.75
952.5797.57
962.4298.42
972.2899.28
982.15100.15
992.04101.04
1001.93101.93
1011.83102.83
1021.73103.73
1031.63104.63
1041.54105.54
1051.45106.45
1061.36107.36
1071.27108.27
1081.18109.18
1091.10110.10
1101.02111.02
1110.95111.95
1120.88112.88
1130.82113.82
1140.76114.76
1150.70115.70
1160.65116.65
1170.60117.60
1180.56118.56
1190.52119.52
1200.48120.48

At birth, an average American baby boy can expect to live till just past 74. But if the boy reaches adulthood, then at 21 he might live to a full year more, past 75. This trend persists even towards the end of life when the years we have left drop rapidly, influenced by the higher likelihood of death.

American women, on the other hand, have a higher life expectancy than men. At birth the gap is close to six years, narrowing steadily to around one year by 85.

AgeYears Remaining
(Women)
Life Expectancy
(Women)
079.7879.78
179.1780.17
278.1980.19
377.2180.21
476.2280.22
575.2380.23
674.2480.24
773.2580.25
872.2580.25
971.2680.26
1070.2780.27
1169.2780.27
1268.2880.28
1367.2980.29
1466.3080.30
1565.3180.31
1664.3280.32
1763.3480.34
1862.3680.36
1961.3880.38
2060.4180.41
2159.4480.44
2258.4780.47
2357.5080.50
2456.5480.54
2555.5880.58
2654.6180.61
2753.6680.66
2852.7080.70
2951.7480.74
3050.7980.79
3149.8480.84
3248.8980.89
3347.9480.94
3447.0081.00
3546.0681.06
3645.1281.12
3744.1881.18
3843.2481.24
3942.3181.31
4041.3881.38
4140.4581.45
4239.5281.52
4338.6081.60
4437.6881.68
4536.7681.76
4635.8581.85
4734.9481.94
4834.0482.04
4933.1482.14
5032.2482.24
5131.3582.35
5230.4782.47
5329.5982.59
5428.7282.72
5527.8682.86
5627.0183.01
5726.1683.16
5825.3283.32
5924.4983.49
6023.6783.67
6122.8583.85
6222.0484.04
6321.2484.24
6420.4584.45
6519.6684.66
6618.8884.88
6718.1085.10
6817.3485.34
6916.5885.58
7015.8285.82
7115.0886.08
7214.3686.36
7313.6486.64
7412.9486.94
7512.2687.26
7611.6087.60
7710.9587.95
7810.3188.31
799.7088.70
809.1089.10
818.5389.53
827.9889.98
837.4490.44
846.9390.93
856.4491.44
865.9991.99
875.5592.55
885.1593.15
894.7693.76
904.4194.41
914.0895.08
923.7895.78
933.5196.51
943.2797.27
953.0598.05
962.8598.85
972.6899.68
982.52100.52
992.37101.37
1002.23102.23
1012.09103.09
1021.96103.96
1031.84104.84
1041.72105.72
1051.61106.61
1061.51107.51
1071.41108.41
1081.32109.32
1091.24110.24
1101.16111.16
1111.09112.09
1121.02113.02
1130.96113.96
1140.90114.90
1150.85115.85
1160.80116.80
1170.75117.75
1180.70118.70
1190.66119.66
1200.62120.62

Interestingly, women outlive men in nearly every country in the world, due to a mix of sociological, behavioral, and biological reasons.

COVID-19: Reversing A Decade of Increasing American Life Expectancy

While the current American life expectancy at birth seems reasonably high, it is nearly two years lower than the 2022 figure which used the 2019 mortality rate. It is also lower than the life expectancy at birth in 2009, which used 2005 mortality rate.

YearLife Expectancy
at Birth (Men)
Life Expectancy
at Birth (Women)
200974.1279.95
201476.1080.94
201976.0480.99
202374.1279.78

American mortality rates went up 17% between 2019–2020, in part because of COVID-19, in turn affecting life expectancy. The U.S. also had a higher COVID-19 mortality rate compared to its peers two years after the pandemic first struck.

Thus, American life expectancy may not improve immediately to 2019 levels, which can affect insurance premiums, pension benefits, and plans.

Where Does This Data Come From?

Source: Office of Social Security, U.S. Government.

Note: The life expectancy at a given age is the average remaining number of years expected prior to death for a person at that exact age, born on January 1, using the mortality rates for 2020 over the course of their remaining life.

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