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 [Updated for coronavirus]

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 2.9% globally, according to the latest numbers on October 6, 2020, from the World Health Organization.

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.

At this stage, the coronavirus isn’t the leading cause of death in the US for 2020, according to the CDC.

What is the average life expectancy in America?

The average life expectancy in the US is 78.6, according to the CDC’s latest data from 2017.

It differs by gender, though. The average life expectancy for men born today is 76.1, while women can expect to live to an average age of 81.1.

What is the life expectancy in the US by race?

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

Race	Average life expectancy for women	Average life expectancy for men	Average life expectancy overall
White	81.2	76.4	78.8
Black	78.5	71.9	75.3
Hispanic	84.3	79.1	81.8
White Non-Hispanic white	81	76.1	78.5
Non-Hispanic black	71.5	78.1	74.9

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.

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As you’d expect, the odds 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.

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%	1.20%	2.48%
Women	0 years old	0.53%	0.62%	0.67%	0.85%	1.36%
Men	1 years old	0.04%	0.12%	0.18%	0.67%	2.01%
Women	1 years old	0.03%	0.10%	0.14%	0.36%	0.90%
Men	2 years old	0.03%	0.10%	0.15%	0.75%	2.12%
Women	2 years old	0.02%	0.07%	0.12%	0.37%	0.93%
Men	3 years old	0.02%	0.08%	0.14%	0.84%	2.25%
Women	3 years old	0.02%	0.06%	0.11%	0.39%	0.99%
Men	4 years old	0.02%	0.07%	0.14%	0.95%	2.38%
Women	4 years old	0.01%	0.05%	0.10%	0.42%	1.05%
Men	5 years old	0.02%	0.06%	0.15%	1.06%	2.53%
Women	5 years old	0.01%	0.05%	0.10%	0.46%	1.12%
Men	6 years old	0.01%	0.06%	0.17%	1.18%	2.68%
Women	6 years old	0.01%	0.05%	0.11%	0.50%	1.20%
Men	7 years old	0.01%	0.05%	0.21%	1.30%	2.84%
Women	7 years old	0.01%	0.04%	0.13%	0.54%	1.29%
Men	8 years old	0.01%	0.05%	0.26%	1.43%	3.01%
Women	8 years old	0.01%	0.04%	0.14%	0.59%	1.39%
Men	9 years old	0.01%	0.06%	0.32%	1.56%	3.18%
Women	9 years old	0.01%	0.05%	0.16%	0.64%	1.50%
Men	10 years old	0.01%	0.08%	0.40%	1.69%	3.37%
Women	10 years old	0.01%	0.06%	0.19%	0.70%	1.61%
Men	11 years old	0.01%	0.11%	0.49%	1.83%	3.56%
Women	11 years old	0.01%	0.07%	0.22%	0.76%	1.73%
Men	12 years old	0.01%	0.15%	0.59%	1.97%	3.77%
Women	12 years old	0.01%	0.08%	0.25%	0.82%	1.87%
Men	13 years old	0.02%	0.20%	0.71%	2.11%	3.99%
Women	13 years old	0.01%	0.10%	0.28%	0.88%	2.01%
Men	14 years old	0.03%	0.26%	0.82%	2.25%	4.22%
Women	14 years old	0.02%	0.12%	0.32%	0.95%	2.16%
Men	15 years old	0.04%	0.31%	0.92%	2.38%	4.47%
Women	15 years old	0.02%	0.13%	0.35%	1.02%	2.33%
Men	16 years old	0.05%	0.38%	1.01%	2.51%	4.72%
Women	16 years old	0.02%	0.15%	0.39%	1.09%	2.51%
Men	17 years old	0.06%	0.44%	1.10%	2.64%	5.00%
Women	17 years old	0.03%	0.17%	0.42%	1.17%	2.70%
Men	18 years old	0.07%	0.50%	1.17%	2.76%	5.30%
Women	18 years old	0.03%	0.19%	0.45%	1.25%	2.91%
Men	19 years old	0.09%	0.56%	1.24%	2.87%	5.62%
Women	19 years old	0.03%	0.20%	0.48%	1.33%	3.13%
Men	20 years old	0.10%	0.61%	1.30%	2.98%	5.96%
Women	20 years old	0.04%	0.22%	0.51%	1.42%	3.38%
Men	21 years old	0.12%	0.64%	1.35%	3.09%	6.33%
Women	21 years old	0.04%	0.23%	0.54%	1.52%	3.65%
Men	22 years old	0.13%	0.66%	1.38%	3.20%	6.74%
Women	22 years old	0.04%	0.25%	0.57%	1.62%	3.95%
Men	23 years old	0.13%	0.67%	1.42%	3.31%	7.18%
Women	23 years old	0.05%	0.26%	0.60%	1.73%	4.27%
Men	24 years old	0.13%	0.68%	1.45%	3.43%	7.67%
Women	24 years old	0.05%	0.28%	0.63%	1.85%	4.62%
Men	25 years old	0.13%	0.70%	1.48%	3.58%	8.21%
Women	25 years old	0.05%	0.29%	0.67%	1.98%	5.00%
Men	26 years old	0.14%	0.71%	1.51%	3.75%	8.80%
Women	26 years old	0.06%	0.31%	0.71%	2.13%	5.40%
Men	27 years old	0.14%	0.73%	1.55%	3.95%	9.45%
Women	27 years old	0.06%	0.32%	0.76%	2.29%	5.83%
Men	28 years old	0.14%	0.75%	1.60%	4.17%	10.16%
Women	28 years old	0.06%	0.34%	0.80%	2.47%	6.30%
Men	29 years old	0.15%	0.77%	1.65%	4.43%	10.92%
Women	29 years old	0.06%	0.36%	0.86%	2.67%	6.80%
Men	30 years old	0.15%	0.79%	1.71%	4.72%	11.73%
Women	30 years old	0.07%	0.38%	0.92%	2.89%	7.32%
Men	31 years old	0.15%	0.81%	1.77%	5.06%	12.60%
Women	31 years old	0.07%	0.41%	0.98%	3.13%	7.88%
Men	32 years old	0.16%	0.83%	1.84%	5.43%	13.53%
Women	32 years old	0.08%	0.44%	1.06%	3.40%	8.47%
Men	33 years old	0.16%	0.86%	1.92%	5.85%	14.53%
Women	33 years old	0.08%	0.47%	1.14%	3.69%	9.11%
Men	34 years old	0.17%	0.89%	2.02%	6.32%	15.58%
Women	34 years old	0.09%	0.50%	1.23%	4.01%	9.80%
Men	35 years old	0.17%	0.93%	2.13%	6.83%	16.69%
Women	35 years old	0.09%	0.54%	1.32%	4.35%	10.54%
Men	36 years old	0.18%	0.97%	2.27%	7.40%	17.87%
Women	36 years old	0.10%	0.58%	1.43%	4.72%	11.33%
Men	37 years old	0.19%	1.01%	2.43%	8.02%	19.12%
Women	37 years old	0.11%	0.62%	1.55%	5.12%	12.20%
Men	38 years old	0.19%	1.07%	2.61%	8.70%	20.46%
Women	38 years old	0.12%	0.67%	1.68%	5.54%	13.13%
Men	39 years old	0.20%	1.14%	2.83%	9.42%	21.88%
Women	39 years old	0.12%	0.73%	1.82%	5.99%	14.15%
Men	40 years old	0.21%	1.22%	3.07%	10.20%	23.40%
Women	40 years old	0.13%	0.79%	1.99%	6.46%	15.26%
Men	41 years old	0.23%	1.32%	3.35%	11.03%	25.03%
Women	41 years old	0.14%	0.85%	2.17%	6.96%	16.47%
Men	42 years old	0.24%	1.43%	3.66%	11.92%	26.78%
Women	42 years old	0.16%	0.93%	2.37%	7.50%	17.80%
Men	43 years old	0.26%	1.56%	4.01%	12.86%	28.65%
Women	43 years old	0.17%	1.01%	2.59%	8.07%	19.24%
Men	44 years old	0.28%	1.71%	4.39%	13.84%	30.64%
Women	44 years old	0.18%	1.11%	2.82%	8.68%	20.79%
Men	45 years old	0.31%	1.88%	4.80%	14.88%	32.74%
Women	45 years old	0.20%	1.21%	3.07%	9.34%	22.47%
Men	46 years old	0.34%	2.06%	5.25%	15.96%	34.98%
Women	46 years old	0.22%	1.33%	3.34%	10.05%	24.27%
Men	47 years old	0.37%	2.26%	5.73%	17.11%	37.36%
Women	47 years old	0.24%	1.45%	3.63%	10.82%	26.24%
Men	48 years old	0.41%	2.49%	6.25%	18.32%	39.88%
Women	48 years old	0.26%	1.59%	3.93%	11.65%	28.36%
Men	49 years old	0.45%	2.72%	6.79%	19.61%	42.55%
Women	49 years old	0.29%	1.74%	4.24%	12.56%	30.66%
Men	50 years old	0.50%	2.98%	7.35%	20.97%	45.35%
Women	50 years old	0.32%	1.89%	4.57%	13.55%	33.13%
Men	51 years old	0.55%	3.26%	7.95%	22.43%	48.30%
Women	51 years old	0.35%	2.04%	4.90%	14.62%	35.80%
Men	52 years old	0.60%	3.55%	8.57%	24.00%	51.40%
Women	52 years old	0.38%	2.21%	5.25%	15.80%	38.68%
Men	53 years old	0.66%	3.86%	9.22%	25.67%	54.63%
Women	53 years old	0.41%	2.38%	5.63%	17.09%	41.76%
Men	54 years old	0.72%	4.18%	9.89%	27.45%	57.98%
Women	54 years old	0.44%	2.55%	6.03%	18.49%	45.01%
Men	55 years old	0.78%	4.51%	10.59%	29.35%	61.43%
Women	55 years old	0.48%	2.73%	6.46%	20.01%	48.43%
Men	56 years old	0.85%	4.85%	11.31%	31.38%	64.94%
Women	56 years old	0.52%	2.92%	6.94%	21.66%	52.01%
Men	57 years old	0.92%	5.20%	12.07%	33.55%	68.49%
Women	57 years old	0.55%	3.12%	7.46%	23.46%	55.74%
Men	58 years old	0.99%	5.58%	12.88%	35.88%	72.04%
Women	58 years old	0.59%	3.33%	8.04%	25.43%	59.59%
Men	59 years old	1.06%	5.96%	13.75%	38.36%	75.55%
Women	59 years old	0.63%	3.57%	8.69%	27.58%	63.55%
Men	60 years old	1.14%	6.37%	14.70%	41.01%	78.97%
Women	60 years old	0.67%	3.84%	9.41%	29.93%	67.57%
Men	61 years old	1.22%	6.79%	15.74%	43.84%	82.22%
Women	61 years old	0.72%	4.14%	10.22%	32.49%	71.58%
Men	62 years old	1.31%	7.24%	16.88%	46.85%	85.27%
Women	62 years old	0.77%	4.48%	11.14%	35.28%	75.51%
Men	63 years old	1.39%	7.73%	18.12%	50.03%	88.06%
Women	63 years old	0.83%	4.87%	12.15%	38.28%	79.28%
Men	64 years old	1.48%	8.28%	19.49%	53.37%	90.55%
Women	64 years old	0.90%	5.31%	13.26%	41.48%	82.82%
Men	65 years old	1.58%	8.90%	20.98%	56.86%	92.71%
Women	65 years old	0.98%	5.80%	14.48%	44.87%	86.07%
Men	66 years old	1.70%	9.60%	22.62%	60.47%	94.52%
Women	66 years old	1.07%	6.35%	15.82%	48.43%	88.95%
Men	67 years old	1.83%	10.39%	24.43%	64.17%	95.99%
Women	67 years old	1.18%	6.96%	17.29%	52.17%	91.43%
Men	68 years old	1.98%	11.26%	26.40%	67.91%	97.13%
Women	68 years old	1.29%	7.65%	18.91%	56.06%	93.51%
Men	69 years old	2.14%	12.22%	28.53%	71.65%	98.00%
Women	69 years old	1.41%	8.40%	20.69%	60.08%	95.19%
Men	70 years old	2.34%	13.27%	30.85%	75.34%	98.64%
Women	70 years old	1.56%	9.22%	22.65%	64.20%	96.51%
Men	71 years old	2.55%	14.41%	33.35%	78.90%	99.09%
Women	71 years old	1.73%	10.11%	24.80%	68.34%	97.52%
Men	72 years old	2.79%	15.67%	36.05%	82.28%	99.41%
Women	72 years old	1.90%	11.10%	27.17%	72.44%	98.28%
Men	73 years old	3.04%	17.06%	38.96%	85.42%	99.63%
Women	73 years old	2.09%	12.19%	29.75%	76.41%	98.84%
Men	74 years old	3.31%	18.59%	42.08%	88.26%	99.77%
Women	74 years old	2.29%	13.42%	32.53%	80.19%	99.24%
Men	75 years old	3.63%	20.27%	45.40%	90.77%	99.86%
Women	75 years old	2.53%	14.80%	35.53%	83.71%	99.52%
Men	76 years old	3.99%	22.13%	48.91%	92.92%	99.92%
Women	76 years old	2.80%	16.34%	38.74%	86.87%	99.71%
Men	77 years old	4.39%	24.17%	52.58%	94.69%	99.96%
Women	77 years old	3.11%	18.08%	42.17%	89.64%	99.83%
Men	78 years old	4.83%	26.41%	56.40%	96.11%	99.98%
Women	78 years old	3.46%	19.99%	45.81%	91.99%	99.90%
Men	79 years old	5.31%	28.86%	60.34%	97.20%	99.99%
Women	79 years old	3.85%	22.08%	49.67%	93.93%	99.95%
Men	80 years old	5.87%	31.52%	64.34%	98.03%	99.99%
Women	80 years old	4.30%	24.34%	53.71%	95.48%	99.97%
Men	81 years old	6.51%	34.39%	68.35%	98.64%	100.00%
Women	81 years old	4.82%	26.78%	57.90%	96.70%	99.99%
Men	82 years old	7.21%	37.47%	72.29%	99.08%	100.00%
Women	82 years old	5.38%	29.41%	62.15%	97.64%	99.99%
Men	83 years old	7.99%	40.75%	76.11%	99.39%	100.00%
Women	83 years old	5.98%	32.27%	66.43%	98.35%	100.00%
Men	84 years old	8.85%	44.24%	79.73%	99.60%	100.00%
Women	84 years old	6.64%	35.41%	70.64%	98.88%	100.00%
Men	85 years old	9.81%	47.92%	83.09%	99.75%	100.00%
Women	85 years old	7.38%	38.83%	74.72%	99.26%	100.00%
Men	86 years old	10.89%	51.76%	86.13%	99.85%	100.00%
Women	86 years old	8.24%	42.50%	78.57%	99.52%	100.00%
Men	87 years old	12.09%	55.69%	88.80%	99.91%	100.00%
Women	87 years old	9.22%	46.39%	82.09%	99.70%	100.00%
Men	88 years old	13.41%	59.67%	91.07%	99.95%	100.00%
Women	88 years old	10.33%	50.43%	85.22%	99.82%	100.00%
Men	89 years old	14.87%	63.64%	92.95%	99.97%	100.00%
Women	89 years old	11.57%	54.55%	87.94%	99.90%	100.00%
Men	90 years old	16.45%	67.54%	94.47%	99.98%	100.00%
Women	90 years old	12.95%	58.68%	90.24%	99.94%	100.00%
Men	91 years old	18.16%	71.26%	95.69%	99.99%	100.00%
Women	91 years old	14.44%	62.73%	92.17%	99.97%	100.00%
Men	92 years old	19.99%	74.72%	96.67%	100.00%	100.00%
Women	92 years old	16.06%	66.59%	93.77%	99.98%	100.00%
Men	93 years old	21.93%	77.85%	97.44%	100.00%	100.00%
Women	93 years old	17.79%	70.19%	95.09%	99.99%	100.00%
Men	94 years old	23.99%	80.61%	98.04%	100.00%	100.00%
Women	94 years old	19.62%	73.47%	96.18%	100.00%	100.00%
Men	95 years old	26.03%	82.97%	98.52%	100.00%	100.00%
Women	95 years old	21.47%	76.38%	97.05%	100.00%	100.00%
Men	96 years old	28.01%	85.01%	98.89%	100.00%	100.00%
Women	96 years old	23.31%	78.99%	97.76%	100.00%	100.00%
Men	97 years old	29.90%	86.81%	99.18%	100.00%	100.00%
Women	97 years old	25.11%	81.36%	98.33%	100.00%	100.00%
Men	98 years old	31.66%	88.42%	99.40%	100.00%	100.00%
Women	98 years old	26.83%	83.54%	98.78%	100.00%	100.00%
Men	99 years old	33.24%	89.91%	99.58%	100.00%	100.00%
Women	99 years old	28.44%	85.58%	99.13%	100.00%	100.00%
Men	100 years old	34.90%	91.29%	99.71%	100.00%	100.00%
Women	100 years old	30.15%	87.52%	99.41%	100.00%	100.00%
Men	101 years old	36.65%	92.58%	99.81%	100.00%	100.00%
Women	101 years old	31.96%	89.34%	99.61%	100.00%	100.00%
Men	102 years old	38.48%	93.77%	99.88%	100.00%	100.00%
Women	102 years old	33.87%	91.04%	99.75%	100.00%	100.00%
Men	103 years old	40.40%	94.85%	99.93%	100.00%	100.00%
Women	103 years old	35.91%	92.59%	99.85%	100.00%	100.00%
Men	104 years old	42.42%	95.81%	99.96%	100.00%	100.00%
Women	104 years old	38.06%	93.99%	99.92%	100.00%	100.00%
Men	105 years old	44.55%	96.66%	99.98%	100.00%	100.00%
Women	105 years old	40.34%	95.24%	99.96%	100.00%	100.00%
Men	106 years old	46.77%	97.40%	99.99%	100.00%	100.00%
Women	106 years old	42.76%	96.33%	99.98%	100.00%	100.00%
Men	107 years old	49.11%	98.03%	99.99%	100.00%	100.00%
Women	107 years old	45.33%	97.26%	99.99%	100.00%	100.00%
Men	108 years old	51.57%	98.56%	100.00%	100.00%	100.00%
Women	108 years old	48.05%	98.03%	100.00%	100.00%	100.00%
Men	109 years old	54.15%	98.98%	100.00%	100.00%	100.00%
Women	109 years old	50.93%	98.64%	100.00%	100.00%	100.00%
Men	110 years old	56.85%	99.31%	100.00%	100.00%	100.00%
Women	110 years old	53.99%	99.12%	100.00%	100.00%	100.00%
Men	111 years old	59.70%	99.56%	100.00%	100.00%	100.00%
Women	111 years old	57.23%	99.47%	100.00%	100.00%	100.00%
Men	112 years old	62.68%	99.74%	100.00%	100.00%	100.00%
Women	112 years old	60.66%	99.70%	100.00%	100.00%	100.00%
Men	113 years old	65.81%	99.86%	100.00%	100.00%	100.00%
Women	113 years old	64.30%	99.85%	100.00%	100.00%	100.00%
Men	114 years old	69.10%	99.94%	100.00%	100.00%	100.00%
Women	114 years old	68.16%	99.93%	100.00%	100.00%	100.00%
Men	115 years old	72.56%	99.98%	100.00%	100.00%	100.00%
Women	115 years old	72.25%	99.98%	100.00%	100.00%	100.00%
Men	116 years old	76.19%	100.00%	100.00%	100.00%	100.00%
Women	116 years old	76.19%	100.00%	100.00%	100.00%	100.00%
Men	117 years old	80.00%	100.00%	100.00%	100.00%	100.00%
Women	117 years old	80.00%	100.00%	100.00%	100.00%	100.00%
Men	118 years old	84.00%	100.00%	100.00%	100.00%	100.00%
Women	118 years old	84.00%	100.00%	100.00%	100.00%	100.00%
Men	119 years old	88.20%	100.00%	100.00%	100.00%	100.00%
Women	119 years old	88.20%	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
Sproutt	18 - 60 years old	$50,000	$10,000,000	5, 10, 15, 20, 25 and 30 years	No	This life insurance broker combines technology and the human touch to match you with a policy tailored to your needs.	Go to site More Info	Compare	loading Fetching your data...
Bestow	21 - 54 years old	$50,000	$1,000,000	10 or 20 years	No	Affordable 10- and 20-year term life insurance policies with instant quotes and no medical exams.	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 affordable quotes from 12+ A-rated life insurance companies side-by-side.	Go to site More Info	Compare	loading Fetching your data...
Everyday Life	20 - 75 years old	$100,000	$10,000,000	10, 15, 20, 25 or 30 years	No	Build a customized laddering strategy to target specific financial responsibilities and save on term life.	Go to site More Info	Compare	loading Fetching your data...
Fabric	25 - 60 years old	$100,000	$5,000,000	10, 15, or 20 years	Depends on policy	Get affordable term life insurance with accelerated underwriting or no-exam coverage up to $1,000,000. Available in all states except CA, NY and MT.	Go to site More Info	Compare	loading Fetching your data...
LadderLife™ Life Insurance	20 - 60 years old	$100,000	$8,000,000	10, 15, 20, 25 or 30 years	No	Term life insurance with no policy fees and the freedom to cancel anytime. Simple application process that can get you approved for coverage instantly.	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	Customized term life insurance policies up to $3 million, no medical exam for certain applicants.	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!

Jing Jun Ma

Jing Jun Ma is an innovations expert at Finder. With a decade of experience in digital marketing and programming, Jing is a tech and data guy. He wrangles data to make it useful for consumers facing a decision.

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2 Responses

AnonymousMarch 26, 2019

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

Reply
- finder Customer Care
  
  JingMarch 27, 2019Staff
  
  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
  
  Reply

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