How can you protect yourself?

There are many misconceptions surrounding life insurance, one of which is cost. On average, people think that the cost of life insurance is significantly more costly than it is in reality. A study conducted by Life Happens found that 44% of millennials believe that life insurance is five times more expensive than it really is - most believing it could cost up to $1,000 a year for a 20-year, $250,000 term life insurance policy.

Your odds of dying by age & gender in 2021

Death may not be the most pleasant thing to think about, but knowledge is power. Learn what factors have the greatest impact on death rates and how purchasing a life insurance policy could be a good investment to protect your loved ones at any age.

How likely are you to die from the coronavirus?

The COVID-19 pandemic has a case fatality rate — or the number of reported deaths divided by confirmed cases — of around 1.8% in the US, according to February 18, 2021 data from Johns Hopkins.

Big questions remain, as the numbers do not include unreported or misdiagnosed cases, only the number of deaths from confirmed cases. But that number’s still higher than the average 0.1% fatality rate for the seasonal flu. And the fatality rate goes up to as high as 13% for seniors over the age of 65 and people with pre-existing health risks related to respiratory issues.

The coronavirus isn’t the leading cause of death in the US for 2020, according to December numbers from the CDC. Heart disease remains the number one cause of death in the US.

What’s the average life expectancy in 2021?

The average life expectancy in the US is down from 79 to 78, according to the CDC’s latest provisional data from preliminary findings in the first half of in 2020. That’s the most common age to die in America in terms of averages.

It differs by gender, though. The average life expectancy for men born today is down from 76 to 75, while women can expect to live to an average age of 81, down from 82. And the CDC report notes that current stats by race are incomplete since the estimates are based on provisional data from January to June 2020.

What is the life expectancy in the US by race and gender?

Here’s a breakdown of life expectancy in the US by race and gender, according to the same CDC data source.

life expectancy in the US by race and gender - Table
Life expectancy by race & gender (5 year increments) - Table

Race	Average life expectancy for women	Average life expectancy for men	Average life expectancy overall
White	80.6	75.5	78
Black	75.8	68.3	72
Hispanic	83.3	76.6	79.9

	All			Hispanic			White			Black
Age (years)	Total	Male	Female	Total	Male	Female	Total	Male	Female	Total	Male	Female
0	77.8	75.1	80.5	79.9	76.6	83.3	78	75.5	80.6	72	68.3	75.8
1	77.2	74.5	80	79.3	76	82.7	77.4	74.9	79.9	71.8	68.1	75.5
5	73.3	70.6	76	75.4	72.1	78.8	73.4	71	75.9	67.9	64.2	71.6
10	68.3	65.6	71	70.4	67.1	73.8	68.4	66	71	63	59.3	66.7
15	63.4	60.7	66.1	65.4	62.1	68.8	63.5	61.1	66	58.1	54.4	61.7
20	58.5	55.9	61.2	60.6	57.3	63.9	58.6	56.3	61.1	53.4	49.8	56.9
25	53.8	51.3	56.3	55.8	52.7	59.1	53.9	51.6	56.3	48.9	45.5	52.1
30	49.2	46.8	51.5	51.1	48.1	54.2	49.2	47	51.5	44.4	41.1	47.4
35	44.6	42.3	46.8	46.5	43.5	49.4	44.6	42.6	46.7	39.9	36.8	42.8
40	40	37.8	42.1	41.8	39	44.6	40.1	38.1	42.1	35.5	32.6	38.3
45	35.5	33.4	37.5	37.3	34.6	39.9	35.6	33.7	37.4	31.3	28.5	33.9
50	31.1	29.2	33	32.8	30.2	35.2	31.2	29.4	32.9	27.2	24.6	29.6
55	26.9	25.1	28.6	28.5	26.1	30.7	26.9	25.3	28.5	23.3	20.8	25.5
60	22.9	21.3	24.4	24.4	22.2	26.4	22.9	21.5	24.3	19.7	17.5	21.7
65	19.1	17.8	20.4	20.6	18.7	22.3	19.1	17.9	20.2	16.5	14.5	18.1
70	15.5	14.4	16.5	17	15.4	18.3	15.4	14.4	16.3	13.6	11.9	14.8
75	12.2	11.3	12.9	13.7	12.4	14.6	12	11.2	12.7	10.8	9.6	11.8
80	9.3	8.6	9.7	10.7	9.8	11.4	9	8.4	9.5	8.5	7.5	9.1
85	6.8	6.4	7	8.3	7.7	8.8	6.5	6.1	6.7	6.5	5.9	6.8

Life expectancy by year

Estimated life expectancy at birth - Visual
Estimated life expectancy at birth - Table

Year	Both sexes	Male	Female
2017	78.6	76.1	81.1
2016	78.7	76.2	81.1
2015	78.7	76.3	81.1
2014	78.9	76.5	81.3
2013	78.8	76.4	81.2
2012	78.8	76.4	81.2
2011	78.7	76.3	81.1
2010	78.7	76.2	81
2009	78.5	76	80.9
2008	78.2	75.6	80.6
2007	78.1	75.5	80.6
2006	77.8	75.2	80.3
2005	77.6	75	80.1
2004	77.6	75	80.1
2003	77.2	74.5	79.7
2002	77	74.4	79.6
2001	77	74.3	79.5
2000	76.8	74.1	79.3
1999	76.7	73.9	79.4
1998	76.7	73.8	79.5
1997	76.5	73.6	79.4
1996	76.1	73.1	79.1
1995	75.8	72.5	78.9
1994	75.7	72.4	79
1993	75.5	72.2	78.8
1992	75.8	72.3	79.1
1991	75.5	72	78.9
1990	75.4	71.8	78.8
1989	75.1	71.7	78.5
1988	74.9	71.4	78.3
1987	74.9	71.4	78.3
1986	74.7	71.2	78.2
1985	74.7	71.1	78.2
1984	74.7	71.1	78.2
1983	74.6	71	78.1
1982	74.5	70.8	78.1
1981	74.1	70.4	77.8
1980	73.7	70	77.4

Odds of dying for men and women

The actuarial tables below are based on the most recent mortality rates for 2014 — directly from the Social Security Administration. They do not consider personal health or lifestyle information, which can dramatically alter a person’s life expectancy.

Life expectancy rates are merely calculations based on averages of mortality among specific population, gender and age groups. They do not predict the specific life expectancy of any one person — including you. If you’re concerned about your overall health and risks, talk to your doctor or health professional.

As you’d expect, the risk of dying increase as we age. For men, five-year odds stay in the single digits until their mid-50s, when longevity percentages begin to decrease more dramatically. At 70 years old, the majority of men are expected to live another 10 years, and a quarter are expected to live to see 90.

Interestingly, women are generally expected to live longer lives than similarly aged men as they grow older. Even among grade-school ages, you’ll see a gap between men and women.

Women in their 40s can expect to comfortably reach 80, with many also expected to live until their centennial year. Even at 70, more than 60% of women are projected to live long enough to blow out 90 candles.

Your risk of dying by gender and age

Search by age:

	Age	Within 1 year	Within 5 years	Within 10 years	Within 20 years	Within 30 years
Men	0 years old	0.63%	0.74%	0.80%	1.25%	2.77%
Women	0 years old	0.52%	0.61%	0.66%	0.87%	1.46%
Men	1 years old	0.04%	0.13%	0.18%	0.74%	2.34%
Women	1 years old	0.03%	0.10%	0.15%	0.39%	1.02%
Men	2 years old	0.03%	0.10%	0.15%	0.83%	2.48%
Women	2 years old	0.02%	0.08%	0.12%	0.40%	1.08%
Men	3 years old	0.02%	0.08%	0.14%	0.94%	2.64%
Women	3 years old	0.02%	0.06%	0.11%	0.43%	1.15%
Men	4 years old	0.02%	0.07%	0.14%	1.06%	2.82%
Women	4 years old	0.01%	0.06%	0.11%	0.47%	1.23%
Men	5 years old	0.01%	0.06%	0.16%	1.20%	3.00%
Women	5 years old	0.01%	0.05%	0.11%	0.52%	1.32%
Men	6 years old	0.01%	0.06%	0.19%	1.35%	3.20%
Women	6 years old	0.01%	0.05%	0.12%	0.56%	1.41%
Men	7 years old	0.01%	0.06%	0.23%	1.50%	3.40%
Women	7 years old	0.01%	0.05%	0.14%	0.62%	1.52%
Men	8 years old	0.01%	0.06%	0.29%	1.65%	3.61%
Women	8 years old	0.01%	0.05%	0.16%	0.67%	1.63%
Men	9 years old	0.01%	0.07%	0.37%	1.82%	3.82%
Women	9 years old	0.01%	0.05%	0.18%	0.74%	1.74%
Men	10 years old	0.01%	0.09%	0.45%	1.98%	4.04%
Women	10 years old	0.01%	0.06%	0.21%	0.80%	1.86%
Men	11 years old	0.01%	0.13%	0.56%	2.16%	4.27%
Women	11 years old	0.01%	0.07%	0.24%	0.88%	2.00%
Men	12 years old	0.02%	0.18%	0.68%	2.33%	4.51%
Women	12 years old	0.01%	0.09%	0.28%	0.96%	2.13%
Men	13 years old	0.02%	0.23%	0.80%	2.51%	4.75%
Women	13 years old	0.01%	0.11%	0.32%	1.04%	2.28%
Men	14 years old	0.03%	0.30%	0.93%	2.68%	5.00%
Women	14 years old	0.02%	0.13%	0.36%	1.12%	2.44%
Men	15 years old	0.05%	0.36%	1.05%	2.85%	5.26%
Women	15 years old	0.02%	0.15%	0.40%	1.21%	2.61%
Men	16 years old	0.06%	0.43%	1.16%	3.02%	5.53%
Women	16 years old	0.03%	0.17%	0.44%	1.29%	2.78%
Men	17 years old	0.07%	0.50%	1.27%	3.17%	5.81%
Women	17 years old	0.03%	0.19%	0.48%	1.38%	2.97%
Men	18 years old	0.09%	0.57%	1.36%	3.32%	6.10%
Women	18 years old	0.03%	0.21%	0.52%	1.47%	3.18%
Men	19 years old	0.10%	0.63%	1.46%	3.47%	6.41%
Women	19 years old	0.04%	0.23%	0.56%	1.56%	3.40%
Men	20 years old	0.11%	0.69%	1.54%	3.60%	6.75%
Women	20 years old	0.04%	0.25%	0.60%	1.66%	3.63%
Men	21 years old	0.13%	0.73%	1.61%	3.73%	7.11%
Women	21 years old	0.05%	0.27%	0.64%	1.76%	3.89%
Men	22 years old	0.14%	0.77%	1.67%	3.86%	7.50%
Women	22 years old	0.05%	0.29%	0.68%	1.86%	4.18%
Men	23 years old	0.15%	0.80%	1.72%	3.98%	7.92%
Women	23 years old	0.06%	0.31%	0.72%	1.97%	4.48%
Men	24 years old	0.16%	0.83%	1.77%	4.12%	8.38%
Women	24 years old	0.06%	0.32%	0.77%	2.09%	4.82%
Men	25 years old	0.16%	0.85%	1.82%	4.26%	8.89%
Women	25 years old	0.06%	0.34%	0.81%	2.21%	5.18%
Men	26 years old	0.17%	0.88%	1.88%	4.42%	9.46%
Women	26 years old	0.06%	0.37%	0.86%	2.35%	5.58%
Men	27 years old	0.17%	0.90%	1.93%	4.60%	10.07%
Women	27 years old	0.07%	0.39%	0.91%	2.51%	6.01%
Men	28 years old	0.18%	0.93%	1.99%	4.80%	10.74%
Women	28 years old	0.07%	0.42%	0.96%	2.67%	6.48%
Men	29 years old	0.18%	0.95%	2.04%	5.03%	11.47%
Women	29 years old	0.08%	0.44%	1.01%	2.85%	6.98%
Men	30 years old	0.19%	0.98%	2.10%	5.29%	12.25%
Women	30 years old	0.08%	0.47%	1.07%	3.06%	7.51%
Men	31 years old	0.19%	1.01%	2.16%	5.59%	13.10%
Women	31 years old	0.09%	0.49%	1.13%	3.28%	8.07%
Men	32 years old	0.20%	1.03%	2.23%	5.93%	14.02%
Women	32 years old	0.09%	0.52%	1.19%	3.52%	8.67%
Men	33 years old	0.20%	1.07%	2.30%	6.30%	14.99%
Women	33 years old	0.10%	0.54%	1.26%	3.79%	9.30%
Men	34 years old	0.21%	1.10%	2.38%	6.73%	16.03%
Women	34 years old	0.10%	0.57%	1.33%	4.08%	9.99%
Men	35 years old	0.21%	1.13%	2.48%	7.20%	17.12%
Women	35 years old	0.11%	0.60%	1.42%	4.41%	10.72%
Men	36 years old	0.22%	1.17%	2.59%	7.72%	18.27%
Women	36 years old	0.11%	0.64%	1.51%	4.77%	11.50%
Men	37 years old	0.23%	1.20%	2.72%	8.30%	19.50%
Women	37 years old	0.12%	0.68%	1.61%	5.16%	12.35%
Men	38 years old	0.23%	1.25%	2.87%	8.93%	20.79%
Women	38 years old	0.13%	0.72%	1.73%	5.58%	13.27%
Men	39 years old	0.24%	1.30%	3.05%	9.62%	22.17%
Women	39 years old	0.13%	0.77%	1.86%	6.03%	14.26%
Men	40 years old	0.25%	1.36%	3.26%	10.37%	23.63%
Women	40 years old	0.14%	0.82%	2.01%	6.51%	15.34%
Men	41 years old	0.26%	1.44%	3.51%	11.18%	25.20%
Women	41 years old	0.15%	0.88%	2.17%	7.02%	16.51%
Men	42 years old	0.27%	1.54%	3.78%	12.06%	26.87%
Women	42 years old	0.16%	0.94%	2.36%	7.57%	17.80%
Men	43 years old	0.29%	1.65%	4.10%	12.99%	28.66%
Women	43 years old	0.17%	1.02%	2.56%	8.15%	19.20%
Men	44 years old	0.31%	1.78%	4.45%	13.98%	30.57%
Women	44 years old	0.19%	1.10%	2.79%	8.77%	20.71%
Men	45 years old	0.33%	1.93%	4.84%	15.01%	32.61%
Women	45 years old	0.20%	1.20%	3.04%	9.43%	22.35%
Men	46 years old	0.35%	2.09%	5.27%	16.10%	34.80%
Women	46 years old	0.22%	1.31%	3.31%	10.15%	24.13%
Men	47 years old	0.38%	2.28%	5.73%	17.24%	37.15%
Women	47 years old	0.24%	1.43%	3.60%	10.91%	26.07%
Men	48 years old	0.42%	2.49%	6.24%	18.45%	39.65%
Women	48 years old	0.26%	1.56%	3.91%	11.74%	28.18%
Men	49 years old	0.46%	2.72%	6.78%	19.72%	42.29%
Women	49 years old	0.29%	1.70%	4.25%	12.64%	30.47%
Men	50 years old	0.50%	2.97%	7.35%	21.06%	45.08%
Women	50 years old	0.31%	1.86%	4.59%	13.60%	32.93%
Men	51 years old	0.55%	3.24%	7.96%	22.48%	48.02%
Women	51 years old	0.34%	2.02%	4.95%	14.66%	35.60%
Men	52 years old	0.60%	3.53%	8.60%	23.99%	51.11%
Women	52 years old	0.37%	2.20%	5.33%	15.81%	38.48%
Men	53 years old	0.65%	3.84%	9.27%	25.61%	54.34%
Women	53 years old	0.41%	2.39%	5.73%	17.07%	41.57%
Men	54 years old	0.71%	4.17%	9.97%	27.33%	57.69%
Women	54 years old	0.44%	2.59%	6.15%	18.44%	44.84%
Men	55 years old	0.78%	4.51%	10.69%	29.18%	61.14%
Women	55 years old	0.48%	2.79%	6.60%	19.92%	48.28%
Men	56 years old	0.84%	4.87%	11.43%	31.17%	64.67%
Women	56 years old	0.52%	2.99%	7.07%	21.54%	51.89%
Men	57 years old	0.92%	5.25%	12.21%	33.32%	68.24%
Women	57 years old	0.56%	3.20%	7.59%	23.31%	55.66%
Men	58 years old	0.99%	5.65%	13.02%	35.63%	71.83%
Women	58 years old	0.60%	3.42%	8.15%	25.26%	59.56%
Men	59 years old	1.07%	6.06%	13.88%	38.10%	75.37%
Women	59 years old	0.64%	3.66%	8.76%	27.38%	63.56%
Men	60 years old	1.15%	6.47%	14.80%	40.72%	78.82%
Women	60 years old	0.69%	3.92%	9.45%	29.71%	67.63%
Men	61 years old	1.24%	6.90%	15.78%	43.52%	82.12%
Women	61 years old	0.74%	4.21%	10.21%	32.25%	71.69%
Men	62 years old	1.33%	7.34%	16.84%	46.51%	85.21%
Women	62 years old	0.79%	4.53%	11.07%	35.02%	75.66%
Men	63 years old	1.42%	7.81%	18.00%	49.67%	88.03%
Women	63 years old	0.85%	4.89%	12.03%	38.01%	79.48%
Men	64 years old	1.50%	8.33%	19.28%	53.00%	90.55%
Women	64 years old	0.91%	5.29%	13.09%	41.22%	83.05%
Men	65 years old	1.60%	8.90%	20.71%	56.49%	92.73%
Women	65 years old	0.99%	5.75%	14.26%	44.63%	86.31%
Men	66 years old	1.71%	9.54%	22.29%	60.11%	94.56%
Women	66 years old	1.07%	6.26%	15.57%	48.23%	89.20%
Men	67 years old	1.84%	10.25%	24.05%	63.83%	96.04%
Women	67 years old	1.17%	6.85%	17.02%	52.01%	91.68%
Men	68 years old	1.97%	11.05%	25.99%	67.61%	97.19%
Women	68 years old	1.27%	7.50%	18.63%	55.97%	93.74%
Men	69 years old	2.12%	11.95%	28.12%	71.40%	98.05%
Women	69 years old	1.39%	8.23%	20.41%	60.06%	95.40%
Men	70 years old	2.29%	12.96%	30.43%	75.14%	98.68%
Women	70 years old	1.53%	9.03%	22.37%	64.25%	96.69%
Men	71 years old	2.49%	14.10%	32.94%	78.77%	99.13%
Women	71 years old	1.69%	9.92%	24.54%	68.47%	97.67%
Men	72 years old	2.71%	15.38%	35.67%	82.21%	99.44%
Women	72 years old	1.86%	10.92%	26.93%	72.63%	98.40%
Men	73 years old	2.96%	16.80%	38.62%	85.40%	99.65%
Women	73 years old	2.05%	12.03%	29.54%	76.67%	98.94%
Men	74 years old	3.24%	18.36%	41.77%	88.29%	99.79%
Women	74 years old	2.25%	13.27%	32.37%	80.49%	99.31%
Men	75 years old	3.57%	20.07%	45.13%	90.84%	99.87%
Women	75 years old	2.49%	14.67%	35.42%	84.03%	99.57%
Men	76 years old	3.94%	21.94%	48.67%	93.00%	99.93%
Women	76 years old	2.77%	16.23%	38.68%	87.21%	99.74%
Men	77 years old	4.35%	23.99%	52.37%	94.78%	99.96%
Women	77 years old	3.09%	17.97%	42.17%	89.97%	99.85%
Men	78 years old	4.78%	26.23%	56.23%	96.20%	99.98%
Women	78 years old	3.43%	19.90%	45.89%	92.31%	99.92%
Men	79 years old	5.26%	28.68%	60.21%	97.29%	99.99%
Women	79 years old	3.82%	22.02%	49.82%	94.21%	99.96%
Men	80 years old	5.82%	31.35%	64.27%	98.11%	100.00%
Women	80 years old	4.28%	24.32%	53.95%	95.73%	99.98%
Men	81 years old	6.46%	34.24%	68.34%	98.70%	100.00%
Women	81 years old	4.80%	26.81%	58.21%	96.91%	99.99%
Men	82 years old	7.17%	37.34%	72.34%	99.13%	100.00%
Women	82 years old	5.37%	29.50%	62.55%	97.81%	99.99%
Men	83 years old	7.95%	40.67%	76.22%	99.43%	100.00%
Women	83 years old	5.98%	32.44%	66.89%	98.49%	100.00%
Men	84 years old	8.81%	44.21%	79.89%	99.63%	100.00%
Women	84 years old	6.66%	35.66%	71.16%	98.98%	100.00%
Men	85 years old	9.79%	47.95%	83.30%	99.77%	100.00%
Women	85 years old	7.43%	39.15%	75.28%	99.33%	100.00%
Men	86 years old	10.87%	51.85%	86.37%	99.86%	100.00%
Women	86 years old	8.31%	42.91%	79.14%	99.58%	100.00%
Men	87 years old	12.09%	55.86%	89.05%	99.92%	100.00%
Women	87 years old	9.31%	46.87%	82.66%	99.74%	100.00%
Men	88 years old	13.44%	59.91%	91.32%	99.96%	100.00%
Women	88 years old	10.45%	50.99%	85.78%	99.84%	100.00%
Men	89 years old	14.93%	63.96%	93.20%	99.98%	100.00%
Women	89 years old	11.73%	55.18%	88.47%	99.91%	100.00%
Men	90 years old	16.55%	67.91%	94.70%	99.99%	100.00%
Women	90 years old	13.14%	59.37%	90.73%	99.95%	100.00%
Men	91 years old	18.29%	71.69%	95.90%	99.99%	100.00%
Women	91 years old	14.68%	63.46%	92.61%	99.98%	100.00%
Men	92 years old	20.17%	75.19%	96.85%	100.00%	100.00%
Women	92 years old	16.33%	67.36%	94.16%	99.99%	100.00%
Men	93 years old	22.16%	78.36%	97.59%	100.00%	100.00%
Women	93 years old	18.11%	70.99%	95.44%	99.99%	100.00%
Men	94 years old	24.27%	81.13%	98.17%	100.00%	100.00%
Women	94 years old	19.99%	74.28%	96.47%	100.00%	100.00%
Men	95 years old	26.37%	83.48%	98.62%	100.00%	100.00%
Women	95 years old	21.89%	77.18%	97.31%	100.00%	100.00%
Men	96 years old	28.40%	85.50%	98.97%	100.00%	100.00%
Women	96 years old	23.78%	79.78%	97.97%	100.00%	100.00%
Men	97 years old	30.34%	87.31%	99.25%	100.00%	100.00%
Women	97 years old	25.63%	82.12%	98.50%	100.00%	100.00%
Men	98 years old	32.13%	88.87%	99.48%	100.00%	100.00%
Women	98 years old	27.39%	84.27%	98.91%	100.00%	100.00%
Men	99 years old	33.73%	90.31%	99.65%	100.00%	100.00%
Women	99 years old	29.03%	86.27%	99.25%	100.00%	100.00%
Men	100 years old	35.42%	91.65%	99.79%	100.00%	100.00%
Women	100 years old	30.77%	88.19%	99.49%	100.00%	100.00%
Men	101 years old	37.19%	92.89%	99.84%	100.00%	100.00%
Women	101 years old	32.62%	89.96%	99.68%	100.00%	100.00%
Men	102 years old	39.05%	94.07%	100.00%	100.00%	100.00%
Women	102 years old	34.58%	91.61%	99.76%	100.00%	100.00%
Men	103 years old	41.00%	95.36%	100.00%	100.00%	100.00%
Women	103 years old	36.65%	93.05%	99.88%	100.00%	100.00%
Men	104 years old	43.05%	96.43%	100.00%	100.00%	100.00%
Women	104 years old	38.85%	94.52%	100.00%	100.00%	100.00%
Men	105 years old	45.21%	97.50%	100.00%	100.00%	100.00%
Women	105 years old	41.18%	95.67%	100.00%	100.00%	100.00%
Men	106 years old	47.47%	97.73%	100.00%	100.00%	100.00%
Women	106 years old	43.65%	96.84%	100.00%	100.00%	100.00%
Men	107 years old	49.84%	100.00%	100.00%	100.00%	100.00%
Women	107 years old	46.27%	97.20%	100.00%	100.00%	100.00%
Men	108 years old	52.33%	100.00%	100.00%	100.00%	100.00%
Women	108 years old	49.05%	98.28%	100.00%	100.00%	100.00%
Men	109 years old	54.95%	100.00%	100.00%	100.00%	100.00%
Women	109 years old	51.99%	100.00%	100.00%	100.00%	100.00%
Men	110 years old	57.70%	100.00%	100.00%	100.00%	100.00%
Women	110 years old	55.11%	100.00%	100.00%	100.00%	100.00%
Men	111 years old	60.58%	100.00%	100.00%	100.00%	100.00%
Women	111 years old	58.42%	100.00%	100.00%	100.00%	100.00%
Men	112 years old	63.61%	100.00%	100.00%	100.00%	100.00%
Women	112 years old	61.92%	100.00%	100.00%	100.00%	100.00%
Men	113 years old	66.79%	100.00%	100.00%	100.00%	100.00%
Women	113 years old	65.64%	100.00%	100.00%	100.00%	100.00%
Men	114 years old	70.13%	100.00%	100.00%	100.00%	100.00%
Women	114 years old	69.58%	100.00%	100.00%	100.00%	100.00%
Men	115 years old	73.64%	100.00%	100.00%	100.00%	100.00%
Women	115 years old	73.64%	100.00%	100.00%	100.00%	100.00%
Men	116 years old	77.32%	100.00%	100.00%	100.00%	100.00%
Women	116 years old	77.32%	100.00%	100.00%	100.00%	100.00%
Men	117 years old	81.18%	100.00%	100.00%	100.00%	100.00%
Women	117 years old	81.18%	100.00%	100.00%	100.00%	100.00%
Men	118 years old	85.24%	100.00%	100.00%	100.00%	100.00%
Women	118 years old	85.24%	100.00%	100.00%	100.00%	100.00%
Men	119 years old	89.50%	100.00%	100.00%	100.00%	100.00%
Women	119 years old	89.50%	100.00%	100.00%	100.00%	100.00%

Source: Death probability taken from the 2014 SSA Period Life Table.

We based our data on 2014 actuarial life tables from the Social Security Administration. Using compound probability, we used this data to calculate the odds of dying within increments of 5, 10, 20 and 30 years for men and women in the US. Your actual probability could be higher or lower depending on a range of health and lifestyle factors.
Actuarial tables are about as close as we’ll ever come to being able to predict when we’ll die – in a general sense. And “how we’ll die” will vary based on each persons’ unique set of circumstances.

Are you a risk taker?

BestHealthDegrees.com compiled data from The National Center for Health Statistics, CDC, and more to put together a comprehensive list of popular activities and your odds of dying from them.

Here are just a few stats that may have you thinking twice next time you ride your bike.

Why it’s worth buying life insurance

A life insurance policy can replace your income when you’re gone, and give your beneficiaries the money they need to cover living expenses, pay off debt and take care of your funeral costs. And it may be cheaper than you think.

What is the average funeral cost in 2020?

According to a study Finder conducted that examined funeral trends from the National Funeral Directors Association and death statistics from the National Center for Health, the average traditional funeral costs $6,723.92 and close to $3,667.97 for cremation.

What’s more: the average person leaves behind around 60,000 in debt when they die. Unfortunately, your debt doesn’t die with you — so a life insurance policy is a good way to ensure your family isn’t burdened by your outstanding debts.

Get life insurance quotes from top companies

Name	Issue age	Minimum Coverage	Maximum Coverage	Term Lengths	Medical Exam Required
Bestow	18 - 60 years old	$50,000	$1,500,000	10, 15, 20, 25, 30 years	No	Get a quote in less than 10 minutes with on-the-spot approval and no medical exam.	Go to site More Info	Compare	loading Fetching your data...
Haven Life	18 - 64 years old	$100,000	$3,000,000	10, 15, 20, or 30 years	No exams for some applicants	Fill out a quick online application and get approval in minutes with up to $3 million in coverage.	Go to site More Info	Compare	loading Fetching your data...
Sproutt	18 - 100 years old	$50,000	$10,000,000	5, 10, 15, 20, 25 and 30 years	No	Compare 40+ insurers and apply online to get the lowest possible price — no medical exam required.	Go to site More Info	Compare	loading Fetching your data...
Ladder	20 - 60 years old	$100,000	$8,000,000	10, 15, 20, 25 or 30 years	Depends on policy	Apply for term life insurance online without the medical exam. Get an instant decision and adjust your coverage at no charge.	Go to site More Info	Compare	loading Fetching your data...
Policygenius	18 - 85 years old	$50,000	$10,000,000	10, 15, 20, 25, 30 years	Depends on provider and policy	Compare 12+ top insurers side-by-side to get the best possible deal, and shop return of premium policies online.	Go to site More Info	Compare	loading Fetching your data...
Nationwide life insurance	40 - 95 years old	$10,000	$1,000,000	10, 15, 20 and 30 years	Yes	Get term, whole, universal or no-exam life insurance with up to $1 million in coverage.	Go to site More Info	Compare	loading Fetching your data...
Fabric	21 - 60 years old	$100,000	$5,000,000	10, 15, or 20 years	Depends on policy	No-exam term policies up to $1 million online, with the option to upgrade to permanent life insurance later.	Go to site More Info	Compare	loading Fetching your data...

Compare up to 4 providers

Bottom line

Death isn’t something the average person is prepared to deal with. But since it’s inevitable, it’s a good idea to have a financial plan in place to protect your loved ones — which may include purchasing a life insurance policy.

Before signing off on a policy, take the time to compare life insurance companies to get the best coverage at the lowest price.

Thank you for your feedback!

Katia Iervasi

Katia Iervasi is a staff writer who hails from Australia and now calls New York home. Her writing and analysis has been featured on sites like Forbes, Best Company and Financial Advisor around the world. Armed with a BA in Communication and a journalistic eye for detail, she navigates insurance and finance topics for Finder, so you can splash your cash smartly (and be a pro when the subject pops up at dinner parties).

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2 Responses

AnonymousMarch 26, 2019

What % of men age 75 will live to age 85?

JingMarch 27, 2019

Hi,

Based on our mortality rates research data from 2014, 54.60% of men in the US aged 75 will live to 85.

Thanks,
Jing

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