Life Expectancy in Bolivia vs Seychelles (1950-2026)

Life expectancy by current age

Chart Table

Bolivia

Male

Female

Seychelles

Male

Female

1x

Current age, years	Total life expectancy, years
	Bolivia			Seychelles
	Average	Male	Female	Average	Male	Female
100	102.2	102.1	102.3	102	101.8	102
99	101.3	101.1	101.4	101.1	100.9	101.1
98	100.4	100.2	100.5	100.2	100	100.2
97	99.5	99.3	99.6	99.3	99.2	99.3
96	98.7	98.4	98.8	98.4	98.3	98.5
95	97.8	97.5	98	97.6	97.4	97.6
94	97	96.7	97.1	96.8	96.6	96.8
93	96.2	95.9	96.3	95.9	95.7	96
92	95.4	95.1	95.6	95.1	94.9	95.2
91	94.6	94.3	94.8	94.4	94.1	94.5
90	93.9	93.6	94.1	93.6	93.3	93.7
89	93.1	92.8	93.3	92.9	92.5	93
88	92.4	92.1	92.6	92.1	91.8	92.3
87	91.7	91.3	91.9	91.4	91	91.6
86	91	90.6	91.2	90.7	90.3	90.9
85	90.3	89.9	90.5	90.1	89.6	90.3
84	89.6	89.2	89.8	89.4	88.9	89.7
83	88.9	88.5	89.2	88.8	88.2	89.1
82	88.3	87.8	88.6	88.1	87.5	88.5
81	87.6	87.2	88	87.6	86.9	88
80	87	86.6	87.4	87	86.2	87.5
79	86.5	86	86.8	86.4	85.6	87
78	85.9	85.4	86.3	85.9	85	86.5
77	85.4	84.8	85.8	85.4	84.5	86.1
76	84.8	84.2	85.3	84.9	83.9	85.6
75	84.3	83.7	84.8	84.4	83.4	85.3
74	83.8	83.1	84.4	83.9	82.9	84.9
73	83.3	82.6	83.9	83.5	82.4	84.5
72	82.9	82.1	83.5	83.1	81.9	84.2
71	82.4	81.6	83	82.7	81.4	83.9
70	82	81.2	82.6	82.3	80.9	83.6
69	81.5	80.7	82.2	81.9	80.5	83.3
68	81.1	80.3	81.9	81.5	80.1	83
67	80.7	79.8	81.5	81.2	79.7	82.8
66	80.4	79.4	81.2	80.9	79.3	82.5
65	80	79	80.9	80.6	78.9	82.3
64	79.7	78.7	80.6	80.3	78.5	82.1
63	79.4	78.3	80.3	80	78.2	81.9
62	79.1	78	80	79.7	77.9	81.7
61	78.8	77.6	79.8	79.4	77.5	81.5
60	78.5	77.3	79.6	79.2	77.2	81.3
59	78.2	77	79.3	79	76.9	81.1
58	78	76.7	79.1	78.7	76.7	81
57	77.7	76.4	78.9	78.5	76.4	80.8
56	77.5	76.2	78.7	78.3	76.1	80.7
55	77.2	75.9	78.5	78.1	75.9	80.6
54	77	75.7	78.4	77.9	75.7	80.4
53	76.8	75.4	78.2	77.7	75.4	80.3
52	76.6	75.2	78	77.5	75.2	80.2
51	76.4	75	77.9	77.4	75	80
50	76.3	74.8	77.7	77.2	74.8	79.9
49	76.1	74.6	77.6	77	74.7	79.8
48	75.9	74.4	77.5	76.9	74.5	79.7
47	75.7	74.2	77.3	76.7	74.3	79.6
46	75.6	74	77.2	76.6	74.1	79.5
45	75.4	73.8	77.1	76.4	73.9	79.5
44	75.3	73.6	77	76.3	73.8	79.4
43	75.2	73.5	76.8	76.2	73.6	79.3
42	75	73.3	76.7	76.1	73.5	79.3
41	74.9	73.2	76.6	76	73.4	79.2
40	74.8	73	76.5	75.9	73.3	79.2
39	74.6	72.9	76.4	75.8	73.2	79.1
38	74.5	72.7	76.3	75.7	73.1	79
37	74.4	72.6	76.2	75.7	73	79
36	74.3	72.5	76.1	75.6	72.9	78.9
35	74.2	72.3	76	75.5	72.8	78.8
34	74.1	72.2	76	75.4	72.8	78.7
33	74	72.1	75.9	75.3	72.7	78.7
32	73.9	72	75.8	75.2	72.6	78.6
31	73.8	71.8	75.7	75.2	72.5	78.5
30	73.7	71.7	75.7	75.1	72.4	78.5
29	73.6	71.6	75.6	75	72.3	78.4
28	73.5	71.5	75.5	74.9	72.2	78.4
27	73.4	71.4	75.4	74.9	72.2	78.3
26	73.3	71.3	75.4	74.8	72.1	78.3
25	73.2	71.1	75.3	74.7	72	78.2
24	73.1	71	75.3	74.7	72	78.2
23	73	70.9	75.2	74.6	71.9	78.1
22	72.9	70.8	75.1	74.6	71.8	78.1
21	72.9	70.7	75.1	74.5	71.7	78
20	72.8	70.6	75	74.5	71.7	78
19	72.7	70.5	75	74.4	71.6	78
18	72.6	70.4	74.9	74.4	71.6	78
17	72.6	70.3	74.9	74.4	71.5	78
16	72.5	70.3	74.9	74.3	71.5	78
15	72.5	70.2	74.8	74.3	71.5	78
14	72.4	70.1	74.8	74.3	71.4	77.9
13	72.4	70.1	74.7	74.3	71.4	77.9
12	72.3	70	74.7	74.3	71.4	77.9
11	72.3	70	74.7	74.3	71.4	77.9
10	72.2	69.9	74.6	74.2	71.4	77.9
9	72.2	69.8	74.6	74.2	71.3	77.9
8	72.1	69.8	74.5	74.2	71.3	77.9
7	72	69.7	74.5	74.2	71.3	77.9
6	71.9	69.6	74.4	74.2	71.3	77.8
5	71.8	69.4	74.3	74.1	71.3	77.8
4	71.7	69.3	74.1	74.1	71.2	77.8
3	71.5	69.1	74	74.1	71.2	77.8
2	71.4	69	73.8	74	71.2	77.7
1	71.2	68.8	73.6	74	71.1	77.7
0	69.1	66.6	71.7	73.3	70.4	77

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 Bolivia can expect to live to 73.7 years compared to 75.1 in the Seychelles, rising to 80 and 80.6 at 65, and to 87 and 87 at 80 — higher than the 69.1 and 73.3 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Bolivia and the Seychelles.

Probability of surviving to a given age

Chart Table

Bolivia

Male

Female

Seychelles

Male

Female

1x

Age	Survival probability
	Bolivia			Seychelles
	Average	Male	Female	Average	Male	Female
100	0.45%	0.22%	0.68%	0.38%	0.17%	0.6%
99	0.68%	0.36%	1.01%	0.6%	0.28%	0.95%
98	1%	0.56%	1.45%	0.91%	0.44%	1.44%
97	1.44%	0.84%	2.04%	1.36%	0.67%	2.13%
96	2.01%	1.23%	2.8%	1.97%	0.99%	3.05%
95	2.74%	1.74%	3.75%	2.77%	1.44%	4.25%
94	3.64%	2.39%	4.9%	3.78%	2.03%	5.75%
93	4.72%	3.2%	6.26%	5.04%	2.8%	7.59%
92	5.99%	4.18%	7.84%	6.56%	3.77%	9.78%
91	7.47%	5.33%	9.64%	8.35%	4.95%	12.3%
90	9.14%	6.67%	11.7%	10.4%	6.35%	15.2%
89	11%	8.21%	13.9%	12.7%	7.99%	18.4%
88	13.1%	9.94%	16.3%	15.3%	9.87%	21.8%
87	15.4%	11.9%	19%	18%	12%	25.5%
86	17.8%	14%	21.8%	21%	14.3%	29.3%
85	20.5%	16.2%	24.8%	24.1%	16.8%	33.2%
84	23.2%	18.6%	27.9%	27.3%	19.5%	37.1%
83	26.1%	21.2%	31.1%	30.6%	22.3%	41%
82	29%	23.8%	34.4%	33.9%	25.3%	44.9%
81	31.9%	26.5%	37.6%	37.3%	28.3%	48.6%
80	34.8%	29.2%	40.7%	40.5%	31.4%	52.2%
79	37.7%	32%	43.8%	43.8%	34.5%	55.6%
78	40.6%	34.7%	46.7%	46.9%	37.6%	58.8%
77	43.4%	37.5%	49.6%	50%	40.7%	61.9%
76	46.1%	40.2%	52.4%	53%	43.8%	64.7%
75	48.8%	42.9%	55%	55.8%	46.7%	67.4%
74	51.4%	45.6%	57.7%	58.6%	49.6%	69.8%
73	54%	48.1%	60.2%	61.1%	52.5%	72.1%
72	56.5%	50.7%	62.6%	63.6%	55.2%	74.1%
71	58.8%	53.1%	64.9%	65.9%	57.8%	76%
70	61.1%	55.5%	67.1%	68.1%	60.3%	77.8%
69	63.3%	57.7%	69.2%	70.1%	62.7%	79.4%
68	65.3%	59.9%	71.1%	72.1%	65%	80.8%
67	67.2%	61.9%	72.9%	73.9%	67.2%	82.2%
66	69%	63.9%	74.5%	75.6%	69.2%	83.4%
65	70.7%	65.7%	76%	77.1%	71.2%	84.6%
64	72.3%	67.4%	77.4%	78.6%	73%	85.6%
63	73.7%	69.1%	78.7%	79.9%	74.8%	86.6%
62	75.1%	70.6%	79.8%	81.2%	76.4%	87.5%
61	76.4%	72%	80.9%	82.4%	77.9%	88.3%
60	77.5%	73.4%	81.9%	83.5%	79.3%	89%
59	78.7%	74.7%	82.9%	84.5%	80.7%	89.7%
58	79.7%	75.9%	83.7%	85.5%	81.9%	90.4%
57	80.7%	77%	84.5%	86.4%	83.1%	90.9%
56	81.6%	78.1%	85.3%	87.2%	84.2%	91.5%
55	82.4%	79.1%	85.9%	88%	85.2%	92%
54	83.2%	80%	86.6%	88.7%	86.1%	92.4%
53	84%	80.9%	87.2%	89.4%	87%	92.8%
52	84.6%	81.7%	87.7%	90%	87.8%	93.3%
51	85.3%	82.5%	88.2%	90.6%	88.6%	93.7%
50	85.9%	83.2%	88.7%	91.2%	89.2%	94.1%
49	86.5%	83.9%	89.1%	91.7%	89.9%	94.4%
48	87%	84.5%	89.6%	92.2%	90.5%	94.8%
47	87.5%	85.1%	90%	92.7%	91.1%	95.1%
46	88%	85.7%	90.3%	93.2%	91.7%	95.3%
45	88.4%	86.2%	90.7%	93.6%	92.3%	95.5%
44	88.8%	86.7%	91%	94%	92.8%	95.7%
43	89.2%	87.2%	91.3%	94.3%	93.3%	95.8%
42	89.6%	87.7%	91.6%	94.6%	93.7%	95.9%
41	90%	88.1%	91.9%	94.9%	94%	96.1%
40	90.3%	88.5%	92.2%	95.2%	94.3%	96.2%
39	90.6%	88.9%	92.4%	95.4%	94.6%	96.4%
38	90.9%	89.2%	92.7%	95.6%	94.8%	96.5%
37	91.2%	89.6%	92.9%	95.8%	95%	96.7%
36	91.5%	89.9%	93.1%	96%	95.2%	96.8%
35	91.7%	90.2%	93.3%	96.2%	95.4%	97%
34	92%	90.5%	93.5%	96.3%	95.7%	97.2%
33	92.2%	90.8%	93.7%	96.5%	95.9%	97.3%
32	92.4%	91.1%	93.8%	96.7%	96.1%	97.5%
31	92.6%	91.4%	94%	96.9%	96.3%	97.6%
30	92.9%	91.6%	94.1%	97.1%	96.5%	97.7%
29	93.1%	91.9%	94.3%	97.2%	96.7%	97.8%
28	93.3%	92.1%	94.4%	97.4%	96.9%	97.9%
27	93.4%	92.4%	94.6%	97.5%	97%	98%
26	93.6%	92.6%	94.7%	97.6%	97.2%	98.1%
25	93.8%	92.8%	94.8%	97.8%	97.3%	98.2%
24	94%	93.1%	94.9%	97.9%	97.5%	98.3%
23	94.1%	93.3%	95%	98%	97.6%	98.4%
22	94.3%	93.5%	95.1%	98.1%	97.8%	98.5%
21	94.5%	93.7%	95.2%	98.2%	97.9%	98.6%
20	94.6%	93.9%	95.3%	98.3%	98%	98.6%
19	94.7%	94.1%	95.4%	98.4%	98.1%	98.6%
18	94.9%	94.2%	95.5%	98.5%	98.2%	98.7%
17	95%	94.4%	95.6%	98.5%	98.3%	98.7%
16	95.1%	94.5%	95.6%	98.5%	98.4%	98.7%
15	95.1%	94.6%	95.7%	98.6%	98.4%	98.7%
14	95.2%	94.7%	95.7%	98.6%	98.5%	98.7%
13	95.3%	94.8%	95.8%	98.6%	98.5%	98.7%
12	95.4%	94.9%	95.8%	98.6%	98.5%	98.8%
11	95.4%	95%	95.9%	98.7%	98.6%	98.8%
10	95.5%	95.1%	96%	98.7%	98.6%	98.8%
9	95.6%	95.2%	96%	98.7%	98.6%	98.8%
8	95.7%	95.3%	96.1%	98.7%	98.6%	98.8%
7	95.8%	95.5%	96.2%	98.8%	98.7%	98.9%
6	96%	95.6%	96.3%	98.8%	98.7%	98.9%
5	96.2%	95.8%	96.5%	98.8%	98.7%	98.9%
4	96.3%	96%	96.7%	98.9%	98.8%	99%
3	96.5%	96.2%	96.9%	98.9%	98.8%	99%
2	96.8%	96.5%	97.1%	99%	98.9%	99.1%
1	97%	96.7%	97.4%	99%	98.9%	99.1%

This chart shows the odds of living to each age from birth. 77.5% of newborns in Bolivia and 83.5% in the Seychelles are expected to live past 60, 61.1% and 68.1% past 70, 34.8% and 40.5% past 80, and only 9.14% and 10.4% past 90.

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

Odds of dying at each age

Chart Table

Bolivia

Male

Female

Seychelles

Male

Female

1x

Age	Probability of dying
	Bolivia			Seychelles
	Average	Male	Female	Average	Male	Female
100	35.5%	39.7%	34.1%	38.8%	40.4%	38.5%
99	33.7%	37.5%	32.3%	36.8%	38.5%	36.4%
98	32%	35.6%	30.6%	34.9%	36.7%	34.3%
97	30.3%	33.7%	28.9%	32.9%	34.8%	32.2%
96	28.5%	31.6%	27.1%	30.9%	32.9%	30.2%
95	26.6%	29.4%	25.3%	28.8%	31%	28.1%
94	24.7%	27.3%	23.5%	26.8%	29.2%	26.2%
93	23%	25.3%	21.8%	25%	27.4%	24.2%
92	21.3%	23.4%	20.1%	23.2%	25.6%	22.4%
91	19.7%	21.6%	18.7%	21.5%	23.8%	20.6%
90	18.3%	20.1%	17.3%	19.8%	22.1%	18.9%
89	17%	18.7%	16.1%	18.2%	20.5%	17.3%
88	15.9%	17.4%	15%	16.7%	19%	15.8%
87	14.8%	16.2%	14%	15.3%	17.6%	14.4%
86	13.8%	15.1%	13%	14%	16.2%	13%
85	12.8%	14%	12.1%	12.8%	15%	11.8%
84	11.9%	12.9%	11.2%	11.8%	13.8%	10.6%
83	10.9%	11.9%	10.3%	10.8%	12.7%	9.54%
82	10%	11%	9.38%	9.85%	11.7%	8.56%
81	9.2%	10.1%	8.52%	8.91%	10.7%	7.67%
80	8.41%	9.35%	7.72%	8.1%	9.84%	6.87%
79	7.68%	8.62%	6.98%	7.4%	9.03%	6.15%
78	7.04%	7.95%	6.34%	6.74%	8.28%	5.5%
77	6.46%	7.35%	5.78%	6.11%	7.59%	4.92%
76	5.95%	6.79%	5.3%	5.6%	6.96%	4.39%
75	5.51%	6.28%	4.89%	5.14%	6.38%	3.92%
74	5.1%	5.81%	4.52%	4.64%	5.86%	3.5%
73	4.73%	5.38%	4.19%	4.2%	5.38%	3.12%
72	4.38%	4.98%	3.87%	3.86%	4.94%	2.79%
71	4.04%	4.6%	3.56%	3.53%	4.53%	2.5%
70	3.72%	4.25%	3.26%	3.2%	4.16%	2.25%
69	3.42%	3.92%	2.97%	2.94%	3.83%	2.02%
68	3.13%	3.61%	2.7%	2.69%	3.52%	1.82%
67	2.85%	3.32%	2.44%	2.45%	3.24%	1.64%
66	2.6%	3.04%	2.2%	2.23%	2.98%	1.48%
65	2.36%	2.78%	1.98%	2.03%	2.74%	1.35%
64	2.16%	2.55%	1.79%	1.85%	2.52%	1.23%
63	1.97%	2.35%	1.62%	1.69%	2.32%	1.12%
62	1.81%	2.16%	1.47%	1.57%	2.13%	1.02%
61	1.66%	2%	1.34%	1.44%	1.96%	0.92%
60	1.54%	1.86%	1.23%	1.32%	1.8%	0.84%
59	1.42%	1.73%	1.13%	1.21%	1.66%	0.77%
58	1.31%	1.6%	1.03%	1.1%	1.53%	0.7%
57	1.21%	1.49%	0.94%	1.03%	1.4%	0.64%
56	1.12%	1.37%	0.86%	0.97%	1.29%	0.58%
55	1.03%	1.26%	0.79%	0.89%	1.19%	0.52%
54	0.94%	1.16%	0.73%	0.82%	1.09%	0.48%
53	0.87%	1.08%	0.67%	0.77%	1%	0.47%
52	0.81%	1%	0.62%	0.71%	0.91%	0.46%
51	0.75%	0.93%	0.58%	0.66%	0.83%	0.44%
50	0.7%	0.87%	0.54%	0.62%	0.77%	0.42%
49	0.66%	0.81%	0.5%	0.58%	0.72%	0.39%
48	0.62%	0.76%	0.47%	0.54%	0.69%	0.34%
47	0.58%	0.71%	0.44%	0.51%	0.66%	0.3%
46	0.54%	0.66%	0.41%	0.48%	0.63%	0.25%
45	0.5%	0.62%	0.39%	0.44%	0.61%	0.21%
44	0.47%	0.58%	0.36%	0.42%	0.57%	0.18%
43	0.44%	0.54%	0.34%	0.38%	0.51%	0.15%
42	0.42%	0.51%	0.32%	0.33%	0.45%	0.14%
41	0.39%	0.48%	0.3%	0.29%	0.38%	0.14%
40	0.37%	0.45%	0.29%	0.25%	0.32%	0.14%
39	0.35%	0.43%	0.27%	0.23%	0.27%	0.15%
38	0.33%	0.41%	0.26%	0.21%	0.24%	0.16%
37	0.32%	0.39%	0.24%	0.2%	0.22%	0.17%
36	0.3%	0.37%	0.23%	0.2%	0.21%	0.18%
35	0.28%	0.35%	0.21%	0.2%	0.22%	0.18%
34	0.27%	0.33%	0.2%	0.2%	0.22%	0.17%
33	0.25%	0.32%	0.19%	0.2%	0.23%	0.16%
32	0.24%	0.3%	0.18%	0.2%	0.23%	0.14%
31	0.23%	0.29%	0.17%	0.19%	0.22%	0.13%
30	0.22%	0.28%	0.16%	0.17%	0.21%	0.12%
29	0.22%	0.28%	0.15%	0.16%	0.19%	0.11%
28	0.21%	0.27%	0.15%	0.14%	0.17%	0.1%
27	0.2%	0.27%	0.14%	0.14%	0.16%	0.1%
26	0.2%	0.26%	0.13%	0.13%	0.16%	0.1%
25	0.19%	0.26%	0.13%	0.13%	0.15%	0.11%
24	0.18%	0.25%	0.12%	0.13%	0.15%	0.11%
23	0.18%	0.24%	0.11%	0.13%	0.15%	0.1%
22	0.17%	0.23%	0.11%	0.12%	0.15%	0.08%
21	0.16%	0.22%	0.1%	0.1%	0.14%	0.06%
20	0.15%	0.2%	0.1%	0.09%	0.13%	0.04%
19	0.14%	0.18%	0.09%	0.07%	0.11%	0.03%
18	0.13%	0.17%	0.08%	0.06%	0.1%	0.02%
17	0.11%	0.15%	0.08%	0.05%	0.08%	0.02%
16	0.1%	0.13%	0.07%	0.04%	0.06%	0.02%
15	0.09%	0.12%	0.06%	0.03%	0.05%	0.01%
14	0.08%	0.11%	0.06%	0.03%	0.04%	0.01%
13	0.08%	0.1%	0.05%	0.02%	0.03%	0.02%
12	0.07%	0.1%	0.05%	0.02%	0.03%	0.02%
11	0.08%	0.1%	0.06%	0.02%	0.03%	0.02%
10	0.08%	0.11%	0.06%	0.02%	0.02%	0.02%
9	0.1%	0.12%	0.07%	0.02%	0.02%	0.02%
8	0.11%	0.13%	0.09%	0.02%	0.03%	0.02%
7	0.13%	0.15%	0.11%	0.03%	0.03%	0.02%
6	0.15%	0.17%	0.13%	0.03%	0.03%	0.03%
5	0.17%	0.19%	0.15%	0.03%	0.04%	0.03%
4	0.2%	0.21%	0.18%	0.04%	0.04%	0.04%
3	0.22%	0.23%	0.21%	0.05%	0.05%	0.05%
2	0.24%	0.25%	0.23%	0.06%	0.06%	0.06%
1	0.27%	0.27%	0.27%	0.07%	0.07%	0.07%
0	2.96%	3.25%	2.65%	0.97%	1.06%	0.87%

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

The annual chance of dying is 2.96% in the birth year in Bolivia and 0.97% in the Seychelles, 0.22% vs 0.17% at age 30, 1.54% vs 1.32% at 60, and 8.41% vs 8.1% at 80.

Death rate by age in Bolivia vs Seychelles

Chart Table

Bolivia

Male

Female

Seychelles

Male

Female

1x

Age	Death rate
	Bolivia			Seychelles
	Total	Male	Female	Total	Male	Female
100	82.4	19.8	145.5	45	0	91.5
99	229.3	134.6	325	218.8	106.3	345
98	321	198.6	445	318	159.6	496
97	435	282.8	590	449	231.9	687
96	572	388	759	609	327	921
95	728	512	948	795	447	1,195
94	900	654	1,151	1,013	594	1,505
93	1,083	809	1,363	1,260	769	1,840
92	1,275	976	1,580	1,520	965	2,186
91	1,472	1,153	1,800	1,791	1,179	2,532
90	1,674	1,340	2,019	2,062	1,406	2,867
89	1,878	1,535	2,237	2,315	1,640	3,175
88	2,080	1,732	2,449	2,550	1,873	3,443
87	2,276	1,925	2,651	2,758	2,101	3,659
86	2,459	2,106	2,836	2,937	2,315	3,814
85	2,620	2,270	2,994	3,088	2,512	3,906
84	2,752	2,411	3,116	3,218	2,686	3,937
83	2,849	2,527	3,194	3,318	2,833	3,912
82	2,909	2,618	3,221	3,344	2,950	3,840
81	2,934	2,686	3,201	3,319	3,035	3,729
80	2,927	2,731	3,141	3,283	3,090	3,586
79	2,899	2,756	3,056	3,240	3,116	3,421
78	2,856	2,763	2,960	3,162	3,115	3,238
77	2,803	2,753	2,864	3,057	3,090	3,043
76	2,747	2,730	2,775	2,965	3,045	2,841
75	2,688	2,693	2,691	2,868	2,983	2,638
74	2,625	2,646	2,609	2,718	2,908	2,441
73	2,554	2,588	2,522	2,569	2,821	2,251
72	2,473	2,521	2,425	2,457	2,724	2,072
71	2,380	2,445	2,314	2,326	2,620	1,904
70	2,276	2,359	2,191	2,179	2,511	1,748
69	2,163	2,265	2,057	2,059	2,400	1,604
68	2,042	2,163	1,917	1,942	2,287	1,471
67	1,918	2,054	1,776	1,811	2,174	1,348
66	1,793	1,941	1,639	1,683	2,061	1,237
65	1,672	1,829	1,508	1,565	1,948	1,139
64	1,558	1,721	1,386	1,450	1,839	1,051
63	1,453	1,619	1,276	1,354	1,732	967
62	1,357	1,527	1,176	1,271	1,628	889
61	1,271	1,443	1,087	1,183	1,527	817
60	1,192	1,365	1,007	1,100	1,430	750
59	1,118	1,290	932	1,023	1,338	688
58	1,047	1,217	863	944	1,251	630
57	978	1,144	798	888	1,167	579
56	911	1,071	737	843	1,087	531
55	846	1,000	680	784	1,013	482
54	786	932	629	730	941	447
53	732	870	583	684	867	435
52	683	814	543	639	799	428
51	641	765	509	601	738	416
50	603	720	478	567	689	396
49	568	680	450	532	651	365
48	535	641	424	502	623	326
47	504	604	399	474	601	281.1
46	474	568	375	444	582	236.3
45	445	533	352	415	559	197.6
44	418	501	330	391	525	167.7
43	394	471	311	359	479	147.3
42	372	445	293.9	316	420	136.2
41	353	423	278.9	275.9	358	133.2
40	336	402	265.2	242.1	302	136.8
39	320	384	252.3	216.2	256.8	145.4
38	304	366	239.5	200.4	225.7	156.4
37	288.9	348	226.5	193.3	208.7	166.9
36	273.7	331	213.3	192.2	203.5	173.6
35	258.9	315	200.3	194.5	206.7	174.3
34	245.1	299.8	188.2	196.8	214.2	168
33	233	286.6	177.2	195.4	220.9	156.2
32	222.8	275.6	167.7	189.8	221.8	141.2
31	214.3	266.8	159.6	179.9	214.5	126.1
30	207.4	260.1	152.6	165.8	200.9	113
29	201.6	254.9	146	151.7	184.1	103.5
28	196.2	250.6	139.6	140.9	169	98.7
27	190.9	246.6	132.9	133.5	157.9	98.1
26	185.4	242.3	126.1	129.9	151.5	100.8
25	179.4	237.3	119.2	129.3	149	103.9
24	173.2	231.1	112.9	128.3	148.5	103.5
23	166.5	223.4	107.2	123.3	147.9	95.2
22	159.3	214.1	102.2	114.1	145.1	80.1
21	151.3	202.7	97.7	101.4	138.2	61.5
20	142.1	189.3	93	86.9	126.9	44
19	131.6	173.8	87.5	72.3	111.5	31.3
18	119.8	157.1	80.9	59.1	94.3	23
17	107.3	139.9	73.3	47.7	77.1	18
16	95.3	123.8	65.6	38.6	61.6	15.4
15	84.9	110.1	58.6	31.9	49	14.4
14	77.1	99.8	53.3	27	39.3	14.3
13	72.5	93.6	50.5	23.9	32.5	14.9
12	71.5	91.7	50.4	22.1	28	15.8
11	74.3	94.2	53.5	21.3	25.4	16.9
10	81	101	60.1	21.3	24.3	18
9	91.8	112	70.7	22	24.5	19.3
8	106.6	126.8	85.5	23.3	25.6	20.8
7	124.5	144.1	104	25.5	27.9	22.9
6	144.8	163.1	125.6	28.7	31.4	26
5	166.1	182.4	149.1	33.4	36.1	30.5
4	188.1	201.6	173.9	39.5	42	36.8
3	210.6	220.7	200	47.3	49.3	45.3
2	234.2	240.2	227.9	57.5	58.3	56.8
1	260.2	261.3	259.1	70.5	69.1	71.9
0	2,956	3,254	2,646	967	1,060	872

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 Bolivia, the most common age of death is 0, compared to 82 in the Seychelles. The median age of death is 74.5 in Bolivia and 77 in the Seychelles, 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 Bolivia and the Seychelles more than their death rates.

Life expectancy in other countries

+ -

1x