Life Expectancy in Bolivia vs Kenya (1950-2026)

Life expectancy by current age

Chart Table

Bolivia

Male

Female

Kenya

Male

Female

1x

Current age, years	Total life expectancy, years
	Bolivia			Kenya
	Average	Male	Female	Average	Male	Female
100	102.2	102.1	102.3	102.2	102	102.2
99	101.3	101.1	101.4	101.3	101.1	101.4
98	100.4	100.2	100.5	100.4	100.2	100.5
97	99.5	99.3	99.6	99.5	99.4	99.6
96	98.7	98.4	98.8	98.7	98.5	98.8
95	97.8	97.5	98	97.8	97.6	97.9
94	97	96.7	97.1	97	96.8	97.1
93	96.2	95.9	96.3	96.2	95.9	96.3
92	95.4	95.1	95.6	95.4	95.1	95.5
91	94.6	94.3	94.8	94.6	94.3	94.7
90	93.9	93.6	94.1	93.8	93.5	94
89	93.1	92.8	93.3	93	92.7	93.2
88	92.4	92.1	92.6	92.3	91.9	92.5
87	91.7	91.3	91.9	91.6	91.1	91.8
86	91	90.6	91.2	90.8	90.4	91.1
85	90.3	89.9	90.5	90.1	89.7	90.4
84	89.6	89.2	89.8	89.5	89	89.7
83	88.9	88.5	89.2	88.8	88.3	89.1
82	88.3	87.8	88.6	88.2	87.6	88.5
81	87.6	87.2	88	87.6	87	87.9
80	87	86.6	87.4	87	86.3	87.4
79	86.5	86	86.8	86.4	85.7	86.8
78	85.9	85.4	86.3	85.8	85.1	86.3
77	85.4	84.8	85.8	85.2	84.5	85.7
76	84.8	84.2	85.3	84.6	83.9	85.2
75	84.3	83.7	84.8	84.1	83.3	84.7
74	83.8	83.1	84.4	83.6	82.8	84.2
73	83.3	82.6	83.9	83	82.2	83.7
72	82.9	82.1	83.5	82.5	81.6	83.2
71	82.4	81.6	83	82	81.1	82.7
70	82	81.2	82.6	81.5	80.5	82.2
69	81.5	80.7	82.2	81	80	81.8
68	81.1	80.3	81.9	80.5	79.5	81.3
67	80.7	79.8	81.5	80	79	80.9
66	80.4	79.4	81.2	79.5	78.5	80.5
65	80	79	80.9	79.1	78	80
64	79.7	78.7	80.6	78.6	77.5	79.6
63	79.4	78.3	80.3	78.2	77	79.2
62	79.1	78	80	77.8	76.5	78.9
61	78.8	77.6	79.8	77.4	76.1	78.5
60	78.5	77.3	79.6	77	75.6	78.2
59	78.2	77	79.3	76.6	75.2	77.8
58	78	76.7	79.1	76.2	74.8	77.5
57	77.7	76.4	78.9	75.8	74.4	77.2
56	77.5	76.2	78.7	75.5	74	76.9
55	77.2	75.9	78.5	75.1	73.7	76.6
54	77	75.7	78.4	74.8	73.3	76.3
53	76.8	75.4	78.2	74.5	72.9	76
52	76.6	75.2	78	74.1	72.6	75.7
51	76.4	75	77.9	73.8	72.2	75.4
50	76.3	74.8	77.7	73.5	71.9	75.1
49	76.1	74.6	77.6	73.2	71.6	74.9
48	75.9	74.4	77.5	72.9	71.2	74.6
47	75.7	74.2	77.3	72.6	70.9	74.4
46	75.6	74	77.2	72.4	70.6	74.1
45	75.4	73.8	77.1	72.1	70.3	73.9
44	75.3	73.6	77	71.8	70.1	73.6
43	75.2	73.5	76.8	71.6	69.8	73.4
42	75	73.3	76.7	71.3	69.5	73.2
41	74.9	73.2	76.6	71.1	69.2	73
40	74.8	73	76.5	70.8	69	72.8
39	74.6	72.9	76.4	70.6	68.7	72.5
38	74.5	72.7	76.3	70.4	68.5	72.3
37	74.4	72.6	76.2	70.2	68.3	72.1
36	74.3	72.5	76.1	70	68.1	71.9
35	74.2	72.3	76	69.8	67.8	71.8
34	74.1	72.2	76	69.6	67.6	71.6
33	74	72.1	75.9	69.4	67.5	71.4
32	73.9	72	75.8	69.2	67.3	71.2
31	73.8	71.8	75.7	69.1	67.1	71.1
30	73.7	71.7	75.7	68.9	66.9	70.9
29	73.6	71.6	75.6	68.7	66.7	70.8
28	73.5	71.5	75.5	68.6	66.6	70.6
27	73.4	71.4	75.4	68.4	66.4	70.5
26	73.3	71.3	75.4	68.3	66.3	70.4
25	73.2	71.1	75.3	68.2	66.1	70.3
24	73.1	71	75.3	68	66	70.1
23	73	70.9	75.2	67.9	65.9	70
22	72.9	70.8	75.1	67.8	65.8	69.9
21	72.9	70.7	75.1	67.7	65.6	69.8
20	72.8	70.6	75	67.6	65.5	69.8
19	72.7	70.5	75	67.5	65.4	69.7
18	72.6	70.4	74.9	67.4	65.3	69.6
17	72.6	70.3	74.9	67.4	65.3	69.5
16	72.5	70.3	74.9	67.3	65.2	69.5
15	72.5	70.2	74.8	67.2	65.1	69.4
14	72.4	70.1	74.8	67.2	65.1	69.4
13	72.4	70.1	74.7	67.1	65	69.3
12	72.3	70	74.7	67.1	65	69.3
11	72.3	70	74.7	67.1	65	69.3
10	72.2	69.9	74.6	67	64.9	69.2
9	72.2	69.8	74.6	67	64.9	69.2
8	72.1	69.8	74.5	66.9	64.8	69.1
7	72	69.7	74.5	66.9	64.8	69.1
6	71.9	69.6	74.4	66.8	64.7	69
5	71.8	69.4	74.3	66.8	64.7	69
4	71.7	69.3	74.1	66.7	64.6	68.9
3	71.5	69.1	74	66.5	64.4	68.7
2	71.4	69	73.8	66.3	64.3	68.5
1	71.2	68.8	73.6	66	64	68.2
0	69.1	66.6	71.7	64.2	62	66.5

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 68.9 in Kenya, rising to 80 and 79.1 at 65, and to 87 and 87 at 80 — higher than the 69.1 and 64.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bolivia

Male

Female

Kenya

Male

Female

1x

Age	Survival probability
	Bolivia			Kenya
	Average	Male	Female	Average	Male	Female
100	0.45%	0.22%	0.68%	0.32%	0.15%	0.49%
99	0.68%	0.36%	1.01%	0.48%	0.24%	0.72%
98	1%	0.56%	1.45%	0.69%	0.36%	1.03%
97	1.44%	0.84%	2.04%	0.99%	0.53%	1.45%
96	2.01%	1.23%	2.8%	1.38%	0.76%	2%
95	2.74%	1.74%	3.75%	1.89%	1.07%	2.69%
94	3.64%	2.39%	4.9%	2.52%	1.48%	3.54%
93	4.72%	3.2%	6.26%	3.29%	1.99%	4.57%
92	5.99%	4.18%	7.84%	4.21%	2.63%	5.77%
91	7.47%	5.33%	9.64%	5.28%	3.39%	7.15%
90	9.14%	6.67%	11.7%	6.54%	4.31%	8.75%
89	11%	8.21%	13.9%	7.94%	5.38%	10.5%
88	13.1%	9.94%	16.3%	9.51%	6.6%	12.4%
87	15.4%	11.9%	19%	11.2%	7.98%	14.5%
86	17.8%	14%	21.8%	13.1%	9.5%	16.7%
85	20.5%	16.2%	24.8%	15%	11.2%	19.1%
84	23.2%	18.6%	27.9%	17.1%	12.9%	21.5%
83	26.1%	21.2%	31.1%	19.2%	14.8%	23.9%
82	29%	23.8%	34.4%	21.4%	16.7%	26.3%
81	31.9%	26.5%	37.6%	23.5%	18.7%	28.6%
80	34.8%	29.2%	40.7%	25.7%	20.7%	31%
79	37.7%	32%	43.8%	27.9%	22.8%	33.3%
78	40.6%	34.7%	46.7%	30.1%	24.9%	35.7%
77	43.4%	37.5%	49.6%	32.4%	27.1%	38%
76	46.1%	40.2%	52.4%	34.6%	29.2%	40.3%
75	48.8%	42.9%	55%	36.9%	31.4%	42.6%
74	51.4%	45.6%	57.7%	39.1%	33.6%	44.8%
73	54%	48.1%	60.2%	41.3%	35.8%	47%
72	56.5%	50.7%	62.6%	43.4%	37.9%	49.2%
71	58.8%	53.1%	64.9%	45.5%	40.1%	51.3%
70	61.1%	55.5%	67.1%	47.6%	42.2%	53.3%
69	63.3%	57.7%	69.2%	49.7%	44.4%	55.3%
68	65.3%	59.9%	71.1%	51.7%	46.5%	57.2%
67	67.2%	61.9%	72.9%	53.7%	48.5%	59.1%
66	69%	63.9%	74.5%	55.6%	50.6%	60.9%
65	70.7%	65.7%	76%	57.5%	52.7%	62.7%
64	72.3%	67.4%	77.4%	59.4%	54.7%	64.4%
63	73.7%	69.1%	78.7%	61.1%	56.6%	66%
62	75.1%	70.6%	79.8%	62.8%	58.5%	67.5%
61	76.4%	72%	80.9%	64.5%	60.3%	68.9%
60	77.5%	73.4%	81.9%	66%	62%	70.3%
59	78.7%	74.7%	82.9%	67.5%	63.7%	71.6%
58	79.7%	75.9%	83.7%	68.9%	65.2%	72.8%
57	80.7%	77%	84.5%	70.3%	66.8%	74%
56	81.6%	78.1%	85.3%	71.6%	68.2%	75.1%
55	82.4%	79.1%	85.9%	72.8%	69.7%	76.2%
54	83.2%	80%	86.6%	74.1%	71%	77.2%
53	84%	80.9%	87.2%	75.2%	72.4%	78.2%
52	84.6%	81.7%	87.7%	76.4%	73.6%	79.2%
51	85.3%	82.5%	88.2%	77.4%	74.9%	80.1%
50	85.9%	83.2%	88.7%	78.5%	76.1%	81%
49	86.5%	83.9%	89.1%	79.5%	77.2%	81.9%
48	87%	84.5%	89.6%	80.4%	78.3%	82.7%
47	87.5%	85.1%	90%	81.4%	79.3%	83.5%
46	88%	85.7%	90.3%	82.2%	80.3%	84.2%
45	88.4%	86.2%	90.7%	83.1%	81.2%	84.9%
44	88.8%	86.7%	91%	83.9%	82.1%	85.6%
43	89.2%	87.2%	91.3%	84.6%	83%	86.2%
42	89.6%	87.7%	91.6%	85.3%	83.8%	86.9%
41	90%	88.1%	91.9%	86%	84.6%	87.5%
40	90.3%	88.5%	92.2%	86.7%	85.4%	88.1%
39	90.6%	88.9%	92.4%	87.4%	86.1%	88.6%
38	90.9%	89.2%	92.7%	88%	86.8%	89.1%
37	91.2%	89.6%	92.9%	88.5%	87.4%	89.7%
36	91.5%	89.9%	93.1%	89.1%	88%	90.1%
35	91.7%	90.2%	93.3%	89.6%	88.6%	90.6%
34	92%	90.5%	93.5%	90.1%	89.2%	91%
33	92.2%	90.8%	93.7%	90.6%	89.7%	91.5%
32	92.4%	91.1%	93.8%	91%	90.1%	91.9%
31	92.6%	91.4%	94%	91.4%	90.6%	92.2%
30	92.9%	91.6%	94.1%	91.8%	91%	92.6%
29	93.1%	91.9%	94.3%	92.2%	91.4%	92.9%
28	93.3%	92.1%	94.4%	92.5%	91.8%	93.2%
27	93.4%	92.4%	94.6%	92.8%	92.2%	93.5%
26	93.6%	92.6%	94.7%	93.1%	92.5%	93.8%
25	93.8%	92.8%	94.8%	93.4%	92.8%	94%
24	94%	93.1%	94.9%	93.7%	93.1%	94.3%
23	94.1%	93.3%	95%	94%	93.4%	94.5%
22	94.3%	93.5%	95.1%	94.2%	93.7%	94.7%
21	94.5%	93.7%	95.2%	94.4%	93.9%	94.9%
20	94.6%	93.9%	95.3%	94.6%	94.2%	95%
19	94.7%	94.1%	95.4%	94.8%	94.4%	95.2%
18	94.9%	94.2%	95.5%	94.9%	94.6%	95.3%
17	95%	94.4%	95.6%	95.1%	94.7%	95.5%
16	95.1%	94.5%	95.6%	95.2%	94.8%	95.6%
15	95.1%	94.6%	95.7%	95.3%	95%	95.7%
14	95.2%	94.7%	95.7%	95.4%	95%	95.7%
13	95.3%	94.8%	95.8%	95.5%	95.1%	95.8%
12	95.4%	94.9%	95.8%	95.5%	95.2%	95.9%
11	95.4%	95%	95.9%	95.6%	95.3%	95.9%
10	95.5%	95.1%	96%	95.7%	95.3%	96%
9	95.6%	95.2%	96%	95.7%	95.4%	96.1%
8	95.7%	95.3%	96.1%	95.8%	95.5%	96.1%
7	95.8%	95.5%	96.2%	95.9%	95.6%	96.2%
6	96%	95.6%	96.3%	96%	95.7%	96.3%
5	96.2%	95.8%	96.5%	96.1%	95.8%	96.4%
4	96.3%	96%	96.7%	96.2%	95.9%	96.5%
3	96.5%	96.2%	96.9%	96.4%	96.1%	96.7%
2	96.8%	96.5%	97.1%	96.7%	96.4%	97%
1	97%	96.7%	97.4%	97.2%	96.8%	97.5%

This chart shows the odds of living to each age from birth. 77.5% of newborns in Bolivia and 66% in Kenya are expected to live past 60, 61.1% and 47.6% past 70, 34.8% and 25.7% past 80, and only 9.14% and 6.54% 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

Kenya

Male

Female

1x

Age	Probability of dying
	Bolivia			Kenya
	Average	Male	Female	Average	Male	Female
100	35.5%	39.7%	34.1%	34.7%	36.8%	33.8%
99	33.7%	37.5%	32.3%	33.2%	35.4%	32.3%
98	32%	35.6%	30.6%	31.3%	33.6%	30.4%
97	30.3%	33.7%	28.9%	29.9%	32.1%	28.9%
96	28.5%	31.6%	27.1%	28.3%	30.6%	27.4%
95	26.6%	29.4%	25.3%	26.7%	29.1%	25.8%
94	24.7%	27.3%	23.5%	25.1%	27.5%	24%
93	23%	25.3%	21.8%	23.4%	25.8%	22.4%
92	21.3%	23.4%	20.1%	21.9%	24.3%	20.9%
91	19.7%	21.6%	18.7%	20.3%	22.6%	19.3%
90	18.3%	20.1%	17.3%	19.2%	21.3%	18.3%
89	17%	18.7%	16.1%	17.7%	19.8%	16.7%
88	15.9%	17.4%	15%	16.5%	18.5%	15.5%
87	14.8%	16.2%	14%	15.3%	17.2%	14.3%
86	13.8%	15.1%	13%	14.2%	16%	13.3%
85	12.8%	14%	12.1%	13%	14.8%	12.2%
84	11.9%	12.9%	11.2%	12%	13.7%	11.1%
83	10.9%	11.9%	10.3%	11%	12.6%	10.1%
82	10%	11%	9.38%	10.1%	11.6%	9.19%
81	9.2%	10.1%	8.52%	9.13%	10.5%	8.19%
80	8.41%	9.35%	7.72%	8.53%	9.8%	7.62%
79	7.68%	8.62%	6.98%	7.9%	9.07%	7.01%
78	7.04%	7.95%	6.34%	7.44%	8.49%	6.6%
77	6.46%	7.35%	5.78%	6.92%	7.88%	6.11%
76	5.95%	6.79%	5.3%	6.48%	7.39%	5.74%
75	5.51%	6.28%	4.89%	6.05%	6.94%	5.37%
74	5.1%	5.81%	4.52%	5.66%	6.5%	5.01%
73	4.73%	5.38%	4.19%	5.3%	6.1%	4.68%
72	4.38%	4.98%	3.87%	4.99%	5.75%	4.38%
71	4.04%	4.6%	3.56%	4.64%	5.36%	4.06%
70	3.72%	4.25%	3.26%	4.41%	5.1%	3.84%
69	3.42%	3.92%	2.97%	4.11%	4.77%	3.57%
68	3.13%	3.61%	2.7%	3.89%	4.52%	3.36%
67	2.85%	3.32%	2.44%	3.68%	4.29%	3.16%
66	2.6%	3.04%	2.2%	3.5%	4.08%	2.98%
65	2.36%	2.78%	1.98%	3.34%	3.91%	2.83%
64	2.16%	2.55%	1.79%	3.11%	3.65%	2.61%
63	1.97%	2.35%	1.62%	2.9%	3.42%	2.42%
62	1.81%	2.16%	1.47%	2.7%	3.2%	2.25%
61	1.66%	2%	1.34%	2.51%	2.97%	2.08%
60	1.54%	1.86%	1.23%	2.36%	2.81%	1.94%
59	1.42%	1.73%	1.13%	2.19%	2.59%	1.81%
58	1.31%	1.6%	1.03%	2.05%	2.43%	1.7%
57	1.21%	1.49%	0.94%	1.93%	2.28%	1.59%
56	1.12%	1.37%	0.86%	1.83%	2.15%	1.51%
55	1.03%	1.26%	0.79%	1.73%	2.05%	1.42%
54	0.94%	1.16%	0.73%	1.64%	1.93%	1.35%
53	0.87%	1.08%	0.67%	1.56%	1.83%	1.28%
52	0.81%	1%	0.62%	1.48%	1.74%	1.22%
51	0.75%	0.93%	0.58%	1.4%	1.64%	1.15%
50	0.7%	0.87%	0.54%	1.34%	1.57%	1.1%
49	0.66%	0.81%	0.5%	1.25%	1.47%	1.04%
48	0.62%	0.76%	0.47%	1.19%	1.38%	0.98%
47	0.58%	0.71%	0.44%	1.12%	1.3%	0.93%
46	0.54%	0.66%	0.41%	1.06%	1.23%	0.88%
45	0.5%	0.62%	0.39%	1%	1.17%	0.84%
44	0.47%	0.58%	0.36%	0.95%	1.1%	0.79%
43	0.44%	0.54%	0.34%	0.9%	1.04%	0.76%
42	0.42%	0.51%	0.32%	0.86%	0.98%	0.72%
41	0.39%	0.48%	0.3%	0.81%	0.93%	0.69%
40	0.37%	0.45%	0.29%	0.78%	0.89%	0.66%
39	0.35%	0.43%	0.27%	0.73%	0.83%	0.63%
38	0.33%	0.41%	0.26%	0.69%	0.79%	0.6%
37	0.32%	0.39%	0.24%	0.65%	0.74%	0.57%
36	0.3%	0.37%	0.23%	0.62%	0.69%	0.54%
35	0.28%	0.35%	0.21%	0.58%	0.65%	0.51%
34	0.27%	0.33%	0.2%	0.54%	0.61%	0.48%
33	0.25%	0.32%	0.19%	0.51%	0.57%	0.45%
32	0.24%	0.3%	0.18%	0.48%	0.53%	0.43%
31	0.23%	0.29%	0.17%	0.45%	0.5%	0.4%
30	0.22%	0.28%	0.16%	0.42%	0.47%	0.38%
29	0.22%	0.28%	0.15%	0.4%	0.44%	0.36%
28	0.21%	0.27%	0.15%	0.37%	0.42%	0.33%
27	0.2%	0.27%	0.14%	0.35%	0.39%	0.31%
26	0.2%	0.26%	0.13%	0.33%	0.37%	0.29%
25	0.19%	0.26%	0.13%	0.31%	0.35%	0.27%
24	0.18%	0.25%	0.12%	0.29%	0.32%	0.25%
23	0.18%	0.24%	0.11%	0.27%	0.31%	0.23%
22	0.17%	0.23%	0.11%	0.25%	0.28%	0.21%
21	0.16%	0.22%	0.1%	0.23%	0.26%	0.19%
20	0.15%	0.2%	0.1%	0.21%	0.24%	0.18%
19	0.14%	0.18%	0.09%	0.19%	0.22%	0.16%
18	0.13%	0.17%	0.08%	0.17%	0.2%	0.15%
17	0.11%	0.15%	0.08%	0.15%	0.17%	0.13%
16	0.1%	0.13%	0.07%	0.13%	0.14%	0.11%
15	0.09%	0.12%	0.06%	0.11%	0.12%	0.1%
14	0.08%	0.11%	0.06%	0.09%	0.1%	0.08%
13	0.08%	0.1%	0.05%	0.08%	0.09%	0.08%
12	0.07%	0.1%	0.05%	0.07%	0.08%	0.07%
11	0.08%	0.1%	0.06%	0.07%	0.08%	0.07%
10	0.08%	0.11%	0.06%	0.07%	0.07%	0.07%
9	0.1%	0.12%	0.07%	0.07%	0.08%	0.07%
8	0.11%	0.13%	0.09%	0.08%	0.08%	0.07%
7	0.13%	0.15%	0.11%	0.09%	0.09%	0.08%
6	0.15%	0.17%	0.13%	0.1%	0.1%	0.09%
5	0.17%	0.19%	0.15%	0.11%	0.12%	0.11%
4	0.2%	0.21%	0.18%	0.15%	0.15%	0.15%
3	0.22%	0.23%	0.21%	0.21%	0.21%	0.2%
2	0.24%	0.25%	0.23%	0.3%	0.29%	0.3%
1	0.27%	0.27%	0.27%	0.47%	0.44%	0.49%
0	2.96%	3.25%	2.65%	2.82%	3.15%	2.48%

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

The annual chance of dying is 2.96% in the birth year in Bolivia and 2.82% in Kenya, 0.22% vs 0.42% at age 30, 1.54% vs 2.36% at 60, and 8.41% vs 8.53% at 80.

Death rate by age in Bolivia vs Kenya

Chart Table

Bolivia

Male

Female

Kenya

Male

Female

1x

Age	Death rate
	Bolivia			Kenya
	Total	Male	Female	Total	Male	Female
100	82.4	19.8	145.5	53.6	13.4	94.3
99	229.3	134.6	325	158.4	84	232.3
98	321	198.6	445	217.5	120.1	313
97	435	282.8	590	295.7	169.3	419
96	572	388	759	392	232.6	547
95	728	512	948	505	311	693
94	900	654	1,151	631	405	851
93	1,083	809	1,363	771	514	1,023
92	1,275	976	1,580	923	638	1,207
91	1,472	1,153	1,800	1,072	767	1,378
90	1,674	1,340	2,019	1,255	920	1,598
89	1,878	1,535	2,237	1,403	1,066	1,756
88	2,080	1,732	2,449	1,565	1,223	1,933
87	2,276	1,925	2,651	1,711	1,375	2,084
86	2,459	2,106	2,836	1,852	1,523	2,224
85	2,620	2,270	2,994	1,959	1,651	2,316
84	2,752	2,411	3,116	2,058	1,776	2,391
83	2,849	2,527	3,194	2,113	1,864	2,409
82	2,909	2,618	3,221	2,159	1,941	2,415
81	2,934	2,686	3,201	2,146	1,973	2,345
80	2,927	2,731	3,141	2,192	2,033	2,362
79	2,899	2,756	3,056	2,204	2,068	2,335
78	2,856	2,763	2,960	2,244	2,116	2,353
77	2,803	2,753	2,864	2,240	2,132	2,320
76	2,747	2,730	2,775	2,243	2,160	2,313
75	2,688	2,693	2,691	2,230	2,178	2,289
74	2,625	2,646	2,609	2,212	2,183	2,248
73	2,554	2,588	2,522	2,188	2,182	2,200
72	2,473	2,521	2,425	2,166	2,180	2,156
71	2,380	2,445	2,314	2,112	2,148	2,080
70	2,276	2,359	2,191	2,099	2,153	2,048
69	2,163	2,265	2,057	2,043	2,116	1,972
68	2,042	2,163	1,917	2,012	2,102	1,922
67	1,918	2,054	1,776	1,976	2,083	1,867
66	1,793	1,941	1,639	1,944	2,067	1,816
65	1,672	1,829	1,508	1,921	2,060	1,776
64	1,558	1,721	1,386	1,844	1,998	1,682
63	1,453	1,619	1,276	1,770	1,935	1,595
62	1,357	1,527	1,176	1,699	1,873	1,515
61	1,271	1,443	1,087	1,618	1,792	1,432
60	1,192	1,365	1,007	1,560	1,739	1,366
59	1,118	1,290	932	1,477	1,648	1,294
58	1,047	1,217	863	1,416	1,584	1,236
57	978	1,144	798	1,358	1,522	1,180
56	911	1,071	737	1,307	1,469	1,132
55	846	1,000	680	1,262	1,425	1,085
54	786	932	629	1,215	1,373	1,042
53	732	870	583	1,171	1,326	1,002
52	683	814	543	1,132	1,283	967
51	641	765	509	1,084	1,231	924
50	603	720	478	1,049	1,193	892
49	568	680	450	997	1,133	850
48	535	641	424	954	1,084	811
47	504	604	399	910	1,034	774
46	474	568	375	869	988	739
45	445	533	352	834	947	710
44	418	501	330	794	900	679
43	394	471	311	761	861	653
42	372	445	293.9	730	824	628
41	353	423	278.9	699	786	605
40	336	402	265.2	673	757	584
39	320	384	252.3	639	716	559
38	304	366	239.5	610	682	536
37	288.9	348	226.5	580	647	511
36	273.7	331	213.3	549	611	487
35	258.9	315	200.3	521	578	464
34	245.1	299.8	188.2	489	543	436
33	233	286.6	177.2	461	510	412
32	222.8	275.6	167.7	435	481	391
31	214.3	266.8	159.6	409	452	367
30	207.4	260.1	152.6	390	431	351
29	201.6	254.9	146	367	404	332
28	196.2	250.6	139.6	346	382	311
27	190.9	246.6	132.9	326	361	293.5
26	185.4	242.3	126.1	306	340	273.1
25	179.4	237.3	119.2	287	322	252.9
24	173.2	231.1	112.9	268.3	303	234.5
23	166.5	223.4	107.2	250.7	285.1	216.8
22	159.3	214.1	102.2	232.9	266.5	199.6
21	151.3	202.7	97.7	214.5	246.6	182.5
20	142.1	189.3	93	198.6	226.6	170.5
19	131.6	173.8	87.5	180.2	205.8	154.3
18	119.8	157.1	80.9	162.4	185.4	139
17	107.3	139.9	73.3	140.3	157.5	122.8
16	95.3	123.8	65.6	119.7	131.5	107.6
15	84.9	110.1	58.6	102.9	111	94.6
14	77.1	99.8	53.3	87.5	93.7	81.2
13	72.5	93.6	50.5	76.9	81.8	72
12	71.5	91.7	50.4	70.4	75.3	65.4
11	74.3	94.2	53.5	67.3	72.1	62.5
10	81	101	60.1	66.7	70.3	63.1
9	91.8	112	70.7	69	72.4	65.5
8	106.6	126.8	85.5	74.2	78.3	70.1
7	124.5	144.1	104	82.4	86.7	78.1
6	144.8	163.1	125.6	92.5	96.3	88.6
5	166.1	182.4	149.1	109.2	111.8	106.5
4	188.1	201.6	173.9	144	146.8	141.1
3	210.6	220.7	200	197.9	197.7	198
2	234.2	240.2	227.9	288.3	281.8	294.8
1	260.2	261.3	259.1	454	428	480
0	2,956	3,254	2,646	2,818	3,154	2,478

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 0 in Kenya. The median age of death is 74.5 in Bolivia and 68.8 in Kenya, 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 Kenya more than their death rates.

Life expectancy in other countries

+ -

1x