Life Expectancy in South Korea vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

South Korea

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	South Korea			Tanzania
	Average	Male	Female	Average	Male	Female
100	102.8	102.1	102.9	102.5	101.9	102.6
99	102	101.3	102.1	101.7	101	101.7
98	101.2	100.4	101.3	100.8	100.1	100.9
97	100.5	99.6	100.6	100	99.2	100.1
96	99.7	98.8	99.8	99.1	98.4	99.3
95	99	98	99.1	98.3	97.5	98.4
94	98.3	97.2	98.5	97.4	96.6	97.7
93	97.6	96.5	97.8	96.6	95.8	96.9
92	96.9	95.7	97.2	95.8	94.9	96.1
91	96.2	95	96.6	95.1	94.1	95.4
90	95.6	94.4	96	94.3	93.3	94.6
89	95	93.7	95.5	93.5	92.5	93.9
88	94.4	93.1	95	92.7	91.7	93.2
87	93.9	92.5	94.5	92	90.9	92.5
86	93.3	91.9	94	91.3	90.1	91.9
85	92.8	91.3	93.6	90.6	89.4	91.2
84	92.4	90.8	93.2	89.9	88.7	90.6
83	91.9	90.3	92.8	89.2	88	90
82	91.5	89.8	92.4	88.6	87.3	89.4
81	91.1	89.3	92.1	87.9	86.6	88.9
80	90.7	88.9	91.7	87.3	86	88.3
79	90.3	88.5	91.4	86.8	85.3	87.8
78	89.9	88.1	91.1	86.2	84.7	87.3
77	89.6	87.7	90.9	85.6	84.1	86.8
76	89.3	87.3	90.6	85.1	83.5	86.3
75	89	87	90.4	84.5	83	85.8
74	88.7	86.7	90.2	84	82.4	85.3
73	88.5	86.4	90	83.5	81.9	84.8
72	88.3	86.1	89.9	83	81.4	84.3
71	88	85.9	89.7	82.5	80.9	83.9
70	87.8	85.6	89.6	82.1	80.4	83.4
69	87.6	85.3	89.4	81.6	79.9	83
68	87.4	85.1	89.3	81.2	79.4	82.6
67	87.2	84.8	89.1	80.7	79	82.2
66	87	84.6	89	80.3	78.5	81.8
65	86.8	84.4	88.9	79.9	78.1	81.4
64	86.7	84.2	88.8	79.5	77.6	81
63	86.5	84	88.7	79.1	77.2	80.7
62	86.4	83.8	88.7	78.7	76.8	80.3
61	86.3	83.7	88.6	78.4	76.4	80
60	86.2	83.5	88.5	78	76.1	79.7
59	86.1	83.4	88.5	77.7	75.7	79.4
58	86	83.3	88.4	77.4	75.4	79.1
57	85.9	83.1	88.4	77.1	75	78.9
56	85.8	83	88.4	76.8	74.7	78.6
55	85.8	82.9	88.3	76.5	74.4	78.3
54	85.7	82.8	88.3	76.2	74.1	78.1
53	85.6	82.8	88.3	75.9	73.8	77.9
52	85.6	82.7	88.2	75.7	73.5	77.6
51	85.5	82.6	88.2	75.4	73.3	77.4
50	85.5	82.5	88.2	75.2	73	77.2
49	85.4	82.5	88.1	75	72.7	77
48	85.4	82.4	88.1	74.7	72.5	76.8
47	85.4	82.4	88.1	74.5	72.3	76.6
46	85.3	82.3	88.1	74.3	72	76.5
45	85.3	82.3	88.1	74.1	71.8	76.3
44	85.2	82.2	88	73.9	71.6	76.1
43	85.2	82.2	88	73.8	71.4	76
42	85.2	82.2	88	73.6	71.2	75.8
41	85.2	82.1	88	73.4	71	75.6
40	85.1	82.1	88	73.2	70.8	75.5
39	85.1	82.1	88	73.1	70.7	75.4
38	85.1	82.1	87.9	72.9	70.5	75.2
37	85.1	82	87.9	72.8	70.3	75.1
36	85.1	82	87.9	72.6	70.2	75
35	85.1	82	87.9	72.5	70	74.8
34	85	82	87.9	72.4	69.9	74.7
33	85	82	87.9	72.2	69.7	74.6
32	85	82	87.9	72.1	69.6	74.5
31	85	82	87.9	72	69.5	74.4
30	85	81.9	87.9	71.9	69.3	74.3
29	85	81.9	87.8	71.8	69.2	74.2
28	85	81.9	87.8	71.7	69.1	74.1
27	85	81.9	87.8	71.6	69	74
26	85	81.9	87.8	71.4	68.9	73.9
25	85	81.9	87.8	71.4	68.7	73.9
24	85	81.9	87.8	71.3	68.6	73.8
23	84.9	81.9	87.8	71.2	68.5	73.7
22	84.9	81.9	87.8	71.1	68.4	73.6
21	84.9	81.9	87.8	71	68.3	73.6
20	84.9	81.8	87.8	70.9	68.2	73.5
19	84.9	81.8	87.8	70.8	68.1	73.4
18	84.9	81.8	87.8	70.8	68.1	73.4
17	84.9	81.8	87.8	70.7	68	73.3
16	84.9	81.8	87.8	70.6	67.9	73.3
15	84.9	81.8	87.8	70.6	67.9	73.2
14	84.9	81.8	87.8	70.5	67.8	73.2
13	84.9	81.8	87.8	70.5	67.8	73.2
12	84.9	81.8	87.7	70.5	67.7	73.1
11	84.9	81.8	87.7	70.4	67.7	73.1
10	84.9	81.8	87.7	70.4	67.7	73.1
9	84.9	81.8	87.7	70.4	67.6	73
8	84.9	81.8	87.7	70.3	67.6	73
7	84.9	81.8	87.7	70.3	67.5	72.9
6	84.9	81.8	87.7	70.2	67.5	72.9
5	84.8	81.8	87.7	70.2	67.4	72.8
4	84.8	81.8	87.7	70.1	67.3	72.7
3	84.8	81.7	87.7	69.9	67.2	72.6
2	84.8	81.7	87.7	69.8	67	72.4
1	84.8	81.7	87.7	69.5	66.8	72.2
0	84.6	81.6	87.5	67.6	64.8	70.4

Life expectancy is often mistaken for the average lifespan of an adult. However, an adult has already survived the causes of early-age mortality and can expect to live longer than the figure calculated at birth.

A 30-year-old in South Korea can expect to live to 85 years compared to 71.9 in Tanzania, rising to 86.8 and 79.9 at 65, and to 90.7 and 87.3 at 80 — higher than the 84.6 and 67.6 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in South Korea and Tanzania.

Probability of surviving to a given age

Chart Table

South Korea

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	South Korea			Tanzania
	Average	Male	Female	Average	Male	Female
100	5.61%	1.7%	8.36%	0.67%	0.12%	1.28%
99	7.43%	2.54%	11%	0.94%	0.2%	1.76%
98	9.59%	3.68%	14%	1.29%	0.3%	2.36%
97	12.1%	5.15%	17.4%	1.73%	0.46%	3.12%
96	15%	6.99%	21.2%	2.29%	0.68%	4.05%
95	18.1%	9.22%	25.2%	2.99%	0.98%	5.16%
94	21.5%	11.8%	29.5%	3.82%	1.38%	6.46%
93	25.2%	14.8%	34%	4.81%	1.89%	7.95%
92	29.1%	18.2%	38.5%	5.97%	2.55%	9.63%
91	33%	21.7%	43%	7.28%	3.35%	11.5%
90	37.1%	25.6%	47.5%	8.82%	4.35%	13.5%
89	41.2%	29.5%	51.8%	10.5%	5.52%	15.7%
88	45.2%	33.6%	56%	12.4%	6.9%	18.1%
87	49.1%	37.6%	60%	14.4%	8.47%	20.5%
86	52.9%	41.7%	63.7%	16.6%	10.2%	23.1%
85	56.5%	45.6%	67.1%	19%	12.2%	25.7%
84	60%	49.4%	70.3%	21.4%	14.3%	28.4%
83	63.2%	53.1%	73.2%	23.9%	16.6%	31%
82	66.3%	56.7%	75.9%	26.5%	19%	33.6%
81	69.2%	60.1%	78.3%	29%	21.4%	36.1%
80	71.9%	63.3%	80.6%	31.5%	24%	38.5%
79	74.5%	66.4%	82.7%	34.1%	26.6%	41%
78	76.8%	69.2%	84.5%	36.6%	29.2%	43.4%
77	79%	71.8%	86.2%	39.2%	31.8%	45.8%
76	80.9%	74.2%	87.7%	41.7%	34.5%	48.2%
75	82.6%	76.4%	89%	44.2%	37.1%	50.6%
74	84.1%	78.3%	90.1%	46.6%	39.7%	52.9%
73	85.5%	80%	91.1%	49%	42.2%	55.1%
72	86.7%	81.6%	91.9%	51.3%	44.7%	57.3%
71	87.8%	83.1%	92.7%	53.5%	47.1%	59.4%
70	89%	84.6%	93.5%	55.7%	49.5%	61.4%
69	90%	86%	94.2%	57.7%	51.8%	63.3%
68	91%	87.3%	94.8%	59.7%	54%	65.2%
67	92%	88.6%	95.4%	61.7%	56.2%	67%
66	92.8%	89.8%	95.9%	63.6%	58.3%	68.8%
65	93.5%	90.8%	96.4%	65.4%	60.3%	70.5%
64	94.2%	91.7%	96.7%	67.2%	62.3%	72%
63	94.7%	92.5%	97%	68.8%	64.2%	73.5%
62	95.2%	93.3%	97.3%	70.4%	66%	74.9%
61	95.7%	93.9%	97.5%	71.9%	67.6%	76.2%
60	96.1%	94.5%	97.7%	73.3%	69.3%	77.5%
59	96.4%	95%	97.9%	74.7%	70.8%	78.6%
58	96.8%	95.5%	98.1%	75.9%	72.2%	79.7%
57	97%	95.9%	98.2%	77.1%	73.6%	80.7%
56	97.3%	96.3%	98.3%	78.2%	74.9%	81.6%
55	97.5%	96.7%	98.5%	79.3%	76.1%	82.5%
54	97.7%	97%	98.6%	80.3%	77.3%	83.3%
53	97.9%	97.3%	98.6%	81.3%	78.4%	84.2%
52	98.1%	97.5%	98.7%	82.2%	79.4%	84.9%
51	98.2%	97.7%	98.8%	83%	80.4%	85.6%
50	98.4%	97.9%	98.9%	83.9%	81.4%	86.3%
49	98.5%	98.1%	98.9%	84.6%	82.3%	86.9%
48	98.6%	98.3%	99%	85.3%	83.1%	87.5%
47	98.7%	98.4%	99.1%	86%	83.9%	88.1%
46	98.8%	98.6%	99.1%	86.6%	84.7%	88.6%
45	98.9%	98.7%	99.2%	87.2%	85.4%	89.1%
44	99%	98.8%	99.2%	87.8%	86%	89.6%
43	99.1%	98.9%	99.2%	88.3%	86.7%	90%
42	99.1%	99%	99.3%	88.8%	87.2%	90.5%
41	99.2%	99%	99.3%	89.3%	87.8%	90.8%
40	99.2%	99.1%	99.3%	89.8%	88.3%	91.2%
39	99.3%	99.2%	99.4%	90.2%	88.8%	91.6%
38	99.3%	99.2%	99.4%	90.6%	89.3%	91.9%
37	99.3%	99.3%	99.4%	91%	89.8%	92.2%
36	99.4%	99.3%	99.5%	91.3%	90.2%	92.5%
35	99.4%	99.3%	99.5%	91.7%	90.6%	92.8%
34	99.4%	99.4%	99.5%	92%	90.9%	93.1%
33	99.5%	99.4%	99.5%	92.3%	91.3%	93.3%
32	99.5%	99.4%	99.5%	92.6%	91.6%	93.6%
31	99.5%	99.4%	99.5%	92.9%	92%	93.8%
30	99.5%	99.5%	99.6%	93.1%	92.3%	94%
29	99.5%	99.5%	99.6%	93.4%	92.5%	94.2%
28	99.5%	99.5%	99.6%	93.6%	92.8%	94.4%
27	99.6%	99.5%	99.6%	93.8%	93.1%	94.6%
26	99.6%	99.5%	99.6%	94%	93.3%	94.8%
25	99.6%	99.5%	99.6%	94.2%	93.6%	94.9%
24	99.6%	99.6%	99.6%	94.4%	93.8%	95.1%
23	99.6%	99.6%	99.6%	94.6%	94%	95.2%
22	99.6%	99.6%	99.7%	94.8%	94.2%	95.4%
21	99.6%	99.6%	99.7%	95%	94.4%	95.5%
20	99.6%	99.6%	99.7%	95.1%	94.6%	95.6%
19	99.7%	99.6%	99.7%	95.3%	94.8%	95.7%
18	99.7%	99.6%	99.7%	95.4%	95%	95.8%
17	99.7%	99.7%	99.7%	95.5%	95.1%	95.9%
16	99.7%	99.7%	99.7%	95.6%	95.2%	96%
15	99.7%	99.7%	99.7%	95.7%	95.3%	96.1%
14	99.7%	99.7%	99.7%	95.8%	95.4%	96.1%
13	99.7%	99.7%	99.7%	95.8%	95.5%	96.2%
12	99.7%	99.7%	99.7%	95.9%	95.5%	96.2%
11	99.7%	99.7%	99.7%	95.9%	95.6%	96.3%
10	99.7%	99.7%	99.7%	96%	95.7%	96.4%
9	99.7%	99.7%	99.7%	96.1%	95.7%	96.4%
8	99.7%	99.7%	99.7%	96.1%	95.8%	96.5%
7	99.7%	99.7%	99.8%	96.2%	95.9%	96.5%
6	99.7%	99.7%	99.8%	96.3%	96%	96.6%
5	99.8%	99.7%	99.8%	96.4%	96.1%	96.7%
4	99.8%	99.8%	99.8%	96.5%	96.2%	96.8%
3	99.8%	99.8%	99.8%	96.7%	96.4%	97%
2	99.8%	99.8%	99.8%	96.9%	96.6%	97.2%
1	99.8%	99.8%	99.8%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 96.1% of newborns in South Korea and 73.3% in Tanzania are expected to live past 60, 89% and 55.7% past 70, 71.9% and 31.5% past 80, and only 37.1% and 8.82% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

South Korea

Male

Female

Tanzania

Male

Female

1x

Age	Probability of dying
	South Korea			Tanzania
	Average	Male	Female	Average	Male	Female
100	26.2%	35.5%	25.5%	29.4%	38.6%	28.4%
99	24.5%	33.3%	23.7%	28.3%	37.1%	27.2%
98	22.6%	30.9%	21.6%	26.8%	35.3%	25.5%
97	20.8%	28.6%	19.7%	25.7%	33.9%	24.3%
96	19%	26.3%	17.8%	24.5%	32.3%	23%
95	17.4%	24.2%	16.1%	23.3%	30.7%	21.6%
94	15.9%	22.2%	14.5%	21.8%	28.9%	20.1%
93	14.6%	20.2%	13%	20.6%	27.3%	18.7%
92	13.3%	18.3%	11.7%	19.4%	25.7%	17.5%
91	12%	16.5%	10.5%	18.1%	24%	16%
90	10.9%	14.9%	9.42%	17.4%	22.9%	15.3%
89	9.87%	13.4%	8.4%	16.1%	21.3%	13.9%
88	8.91%	12.1%	7.47%	15.2%	20%	13%
87	8%	10.8%	6.61%	14.2%	18.6%	12%
86	7.17%	9.69%	5.83%	13.3%	17.3%	11.1%
85	6.42%	8.66%	5.13%	12.3%	16%	10.2%
84	5.75%	7.75%	4.52%	11.4%	14.9%	9.37%
83	5.15%	6.96%	3.98%	10.4%	13.7%	8.46%
82	4.63%	6.26%	3.52%	9.6%	12.6%	7.7%
81	4.18%	5.65%	3.13%	8.6%	11.4%	6.8%
80	3.79%	5.1%	2.8%	8.09%	10.6%	6.4%
79	3.42%	4.6%	2.5%	7.47%	9.73%	5.95%
78	3.07%	4.12%	2.22%	7.01%	9.02%	5.65%
77	2.72%	3.65%	1.95%	6.47%	8.26%	5.24%
76	2.38%	3.21%	1.69%	6.05%	7.65%	4.95%
75	2.07%	2.8%	1.44%	5.63%	7.08%	4.66%
74	1.8%	2.45%	1.23%	5.22%	6.52%	4.35%
73	1.58%	2.16%	1.06%	4.83%	6.02%	4.06%
72	1.41%	1.95%	0.94%	4.5%	5.58%	3.8%
71	1.31%	1.81%	0.86%	4.12%	5.1%	3.49%
70	1.25%	1.72%	0.81%	3.91%	4.8%	3.33%
69	1.19%	1.65%	0.76%	3.59%	4.41%	3.06%
68	1.11%	1.56%	0.69%	3.37%	4.12%	2.88%
67	1.02%	1.44%	0.62%	3.16%	3.84%	2.7%
66	0.9%	1.3%	0.53%	2.97%	3.6%	2.54%
65	0.78%	1.14%	0.44%	2.83%	3.4%	2.41%
64	0.68%	0.99%	0.37%	2.61%	3.15%	2.2%
63	0.59%	0.88%	0.31%	2.42%	2.92%	2.02%
62	0.53%	0.78%	0.27%	2.25%	2.71%	1.86%
61	0.46%	0.69%	0.24%	2.06%	2.49%	1.7%
60	0.41%	0.62%	0.21%	1.94%	2.34%	1.58%
59	0.37%	0.56%	0.19%	1.78%	2.14%	1.44%
58	0.33%	0.5%	0.17%	1.66%	1.99%	1.34%
57	0.3%	0.45%	0.15%	1.54%	1.85%	1.24%
56	0.27%	0.41%	0.13%	1.44%	1.73%	1.16%
55	0.24%	0.36%	0.11%	1.35%	1.62%	1.09%
54	0.21%	0.32%	0.1%	1.26%	1.52%	1.02%
53	0.19%	0.28%	0.09%	1.18%	1.42%	0.95%
52	0.17%	0.25%	0.08%	1.11%	1.34%	0.9%
51	0.15%	0.23%	0.08%	1.03%	1.24%	0.83%
50	0.14%	0.2%	0.07%	0.97%	1.17%	0.79%
49	0.13%	0.19%	0.07%	0.9%	1.08%	0.73%
48	0.12%	0.17%	0.06%	0.84%	1.01%	0.68%
47	0.11%	0.15%	0.06%	0.78%	0.94%	0.63%
46	0.09%	0.13%	0.05%	0.73%	0.88%	0.59%
45	0.09%	0.12%	0.05%	0.69%	0.83%	0.56%
44	0.08%	0.11%	0.04%	0.64%	0.77%	0.52%
43	0.07%	0.1%	0.04%	0.6%	0.72%	0.49%
42	0.06%	0.09%	0.04%	0.57%	0.68%	0.47%
41	0.06%	0.08%	0.03%	0.53%	0.63%	0.44%
40	0.05%	0.07%	0.03%	0.51%	0.6%	0.42%
39	0.05%	0.06%	0.03%	0.47%	0.56%	0.39%
38	0.04%	0.05%	0.03%	0.45%	0.53%	0.37%
37	0.04%	0.05%	0.03%	0.42%	0.5%	0.34%
36	0.03%	0.04%	0.02%	0.39%	0.47%	0.33%
35	0.03%	0.04%	0.02%	0.37%	0.44%	0.31%
34	0.03%	0.03%	0.02%	0.35%	0.41%	0.29%
33	0.02%	0.03%	0.02%	0.33%	0.39%	0.27%
32	0.02%	0.03%	0.02%	0.31%	0.37%	0.25%
31	0.02%	0.02%	0.02%	0.29%	0.34%	0.24%
30	0.02%	0.02%	0.01%	0.28%	0.33%	0.23%
29	0.02%	0.02%	0.01%	0.26%	0.31%	0.21%
28	0.02%	0.02%	0.01%	0.25%	0.3%	0.2%
27	0.01%	0.02%	0.01%	0.24%	0.28%	0.19%
26	0.01%	0.02%	0.01%	0.22%	0.27%	0.18%
25	0.01%	0.02%	0.01%	0.21%	0.26%	0.17%
24	0.01%	0.02%	0.01%	0.2%	0.25%	0.16%
23	0.01%	0.01%	0.01%	0.19%	0.24%	0.15%
22	0.01%	0.01%	0.01%	0.18%	0.23%	0.14%
21	0.01%	0.01%	0.01%	0.17%	0.21%	0.13%
20	0.01%	0.01%	0.01%	0.16%	0.2%	0.13%
19	0.01%	0.01%	0.009%	0.15%	0.18%	0.12%
18	0.01%	0.01%	0.008%	0.14%	0.17%	0.11%
17	0.009%	0.01%	0.007%	0.12%	0.14%	0.1%
16	0.008%	0.009%	0.006%	0.1%	0.12%	0.09%
15	0.007%	0.008%	0.006%	0.09%	0.1%	0.08%
14	0.006%	0.006%	0.005%	0.08%	0.09%	0.07%
13	0.005%	0.005%	0.005%	0.07%	0.08%	0.06%
12	0.005%	0.005%	0.004%	0.06%	0.07%	0.06%
11	0.005%	0.005%	0.004%	0.06%	0.07%	0.05%
10	0.005%	0.006%	0.005%	0.06%	0.07%	0.05%
9	0.006%	0.006%	0.006%	0.06%	0.07%	0.06%
8	0.007%	0.007%	0.006%	0.07%	0.07%	0.06%
7	0.007%	0.007%	0.007%	0.08%	0.08%	0.07%
6	0.008%	0.008%	0.008%	0.08%	0.09%	0.08%
5	0.009%	0.009%	0.009%	0.1%	0.11%	0.09%
4	0.01%	0.01%	0.01%	0.13%	0.14%	0.12%
3	0.01%	0.01%	0.01%	0.18%	0.18%	0.17%
2	0.01%	0.01%	0.02%	0.25%	0.26%	0.25%
1	0.02%	0.02%	0.02%	0.41%	0.41%	0.4%
0	0.19%	0.2%	0.17%	2.69%	2.99%	2.38%

This chart displays the probability of dying at any given age in South Korea compared to Tanzania, as mortality rates vary throughout a lifetime.

The annual chance of dying is 0.19% in the birth year in South Korea and 2.69% in Tanzania, 0.02% vs 0.28% at age 30, 0.41% vs 1.94% at 60, and 3.79% vs 8.09% at 80.

Death rate by age in South Korea vs Tanzania

Chart Table

South Korea

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	South Korea			Tanzania
	Total	Male	Female	Total	Male	Female
100	1,496	465	2,272	140.1	0.71	294.9
99	1,820	846	2,596	266.5	72.6	478
98	2,167	1,138	3,025	344	107.1	602
97	2,513	1,472	3,426	444	155.1	756
96	2,846	1,839	3,778	562	218.8	930
95	3,154	2,227	4,062	695	300	1,116
94	3,435	2,625	4,281	834	398	1,297
93	3,670	2,997	4,428	989	516	1,486
92	3,854	3,319	4,513	1,159	656	1,682
91	3,978	3,585	4,529	1,316	805	1,836
90	4,047	3,805	4,469	1,536	994	2,078
89	4,064	3,960	4,351	1,690	1,174	2,190
88	4,023	4,047	4,181	1,881	1,377	2,351
87	3,931	4,072	3,963	2,045	1,575	2,462
86	3,793	4,036	3,713	2,207	1,777	2,566
85	3,628	3,949	3,445	2,336	1,957	2,629
84	3,448	3,833	3,175	2,452	2,143	2,662
83	3,257	3,697	2,914	2,499	2,269	2,625
82	3,068	3,548	2,673	2,540	2,389	2,588
81	2,894	3,393	2,454	2,490	2,434	2,451
80	2,726	3,228	2,253	2,549	2,548	2,467
79	2,548	3,050	2,065	2,545	2,586	2,439
78	2,355	2,849	1,876	2,569	2,636	2,453
77	2,149	2,624	1,680	2,533	2,630	2,402
76	1,925	2,380	1,478	2,519	2,638	2,384
75	1,706	2,136	1,283	2,489	2,625	2,358
74	1,512	1,917	1,112	2,431	2,589	2,297
73	1,347	1,729	968	2,367	2,543	2,235
72	1,225	1,589	862	2,309	2,496	2,179
71	1,153	1,507	801	2,205	2,404	2,072
70	1,109	1,458	760	2,174	2,375	2,046
69	1,068	1,416	712	2,072	2,284	1,936
68	1,012	1,359	656	2,015	2,226	1,877
67	936	1,279	588	1,948	2,160	1,806
66	837	1,167	507	1,889	2,097	1,743
65	730	1,035	424	1,848	2,051	1,698
64	636	909	354	1,753	1,961	1,588
63	563	810	305	1,666	1,874	1,488
62	501	727	266.7	1,583	1,789	1,396
61	443	649	231.4	1,484	1,686	1,293
60	398	585	204.3	1,422	1,617	1,227
59	359	531	182.7	1,327	1,514	1,135
58	322	481	162.3	1,257	1,436	1,069
57	290	435	143.6	1,185	1,359	1,002
56	260.8	391	126.9	1,126	1,294	949
55	232.6	349	111.9	1,069	1,234	895
54	206.2	309	98.8	1,015	1,174	848
53	182.4	273	88.5	962	1,116	802
52	164.8	244.9	82.1	914	1,062	763
51	151	221.8	77.5	856	999	711
50	137.9	200.6	72.6	817	955	680
49	126.7	182.6	68.3	761	892	633
48	116.1	166	63.9	716	840	596
47	104.4	148.4	58.3	671	789	558
46	93.1	131.9	52.6	632	744	525
45	84.3	118.5	48.1	599	705	498
44	76.2	106.4	44	563	661	469
43	68.6	95.3	40.2	533	625	445
42	61.9	85.1	37	507	593	423
41	55.8	75.6	34.2	476	557	397
40	50.2	66.9	31.8	455	533	380
39	44.8	58.7	29.5	428	500	357
38	40.1	51.5	27.4	405	473	338
37	36.1	45.3	25.6	382	446	318
36	32.3	39.8	23.6	361	420	301
35	28.9	35.1	21.7	341	398	284.4
34	26	31.3	20	321	375	266.3
33	23.6	28.1	18.4	303	353	251.3
32	21.5	25.4	16.9	286.8	335	237.8
31	19.7	23.3	15.6	269.7	316	222.6
30	18.2	21.5	14.5	258.9	303	213.8
29	16.8	19.9	13.4	245	287.2	202.1
28	15.6	18.5	12.5	233.1	274.4	191
27	14.6	17.3	11.8	222.2	262.5	181.1
26	13.8	16.2	11.2	211.5	251.5	171
25	13.2	15.4	10.8	201.9	242.2	161.1
24	12.8	14.9	10.5	192.7	232.5	152.5
23	12.6	14.8	10.3	183.7	223.1	143.7
22	12.5	14.7	10.1	174.2	212.6	135.4
21	12.4	14.7	9.89	164	200.4	127
20	12.1	14.4	9.53	154.3	187.4	120.7
19	11.5	13.8	9.02	142.8	172.9	112.2
18	10.5	12.6	8.27	130.5	157.1	103.4
17	9.2	10.9	7.37	114.1	134.6	93.3
16	7.83	9.14	6.44	98.8	113.8	83.6
15	6.59	7.52	5.6	85	95.7	74
14	5.61	6.25	4.94	73.3	81.7	64.7
13	5.01	5.45	4.54	65.1	71.8	58.2
12	4.72	5.06	4.37	60	66.3	53.6
11	4.77	5.05	4.47	57.8	63.8	51.6
10	5.33	5.63	5.02	57.7	63	52.2
9	6.1	6.42	5.75	59.9	65.2	54.4
8	6.71	7.03	6.38	64.7	70.4	58.8
7	7.2	7.46	6.92	72.2	78.1	66.1
6	7.76	7.93	7.57	81.7	87.3	76
5	8.61	8.68	8.54	96.7	101.8	91.4
4	9.92	9.86	9.98	125.6	131.7	119.3
3	11.9	11.7	12.1	171.2	177.9	164.3
2	14.9	14.5	15.2	246.7	252.7	240.5
1	19.6	19.2	20.2	394	394	394
0	189.5	203.7	174.6	2,690	2,990	2,383

This chart shows the number of deaths by age up to 100 for 3 cohorts of 100,000 newborns each — male, female, and both combined — illustrating how expected mortality is distributed throughout life.

In South Korea, the most common age of death is 89, compared to 0 in Tanzania. The median age of death is 86.8 in South Korea and 72.6 in Tanzania, meaning only half of each cohort is expected to live past that age.

Note that this chart does not show rates per 100,000 population, as those would be skewed by age structure differences and reflect the demographics of South Korea and Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x