Life Expectancy in Bolivia vs Lithuania (1950-2026)

Life expectancy by current age

Chart Table

Bolivia

Male

Female

Lithuania

Male

Female

1x

Current age, years	Total life expectancy, years
	Bolivia			Lithuania
	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	100.1	100.2
97	99.5	99.3	99.6	99.3	99.2	99.3
96	98.7	98.4	98.8	98.5	98.4	98.5
95	97.8	97.5	98	97.7	97.6	97.7
94	97	96.7	97.1	96.9	96.7	96.9
93	96.2	95.9	96.3	96.1	95.9	96.1
92	95.4	95.1	95.6	95.4	95.2	95.4
91	94.6	94.3	94.8	94.6	94.4	94.7
90	93.9	93.6	94.1	94	93.7	94
89	93.1	92.8	93.3	93.3	93	93.4
88	92.4	92.1	92.6	92.6	92.3	92.7
87	91.7	91.3	91.9	92	91.6	92.1
86	91	90.6	91.2	91.4	90.9	91.6
85	90.3	89.9	90.5	90.8	90.3	91
84	89.6	89.2	89.8	90.3	89.7	90.5
83	88.9	88.5	89.2	89.8	89.1	90
82	88.3	87.8	88.6	89.3	88.5	89.6
81	87.6	87.2	88	88.8	88	89.2
80	87	86.6	87.4	88.4	87.4	88.8
79	86.5	86	86.8	88	86.9	88.4
78	85.9	85.4	86.3	87.5	86.4	88.1
77	85.4	84.8	85.8	87.1	85.8	87.8
76	84.8	84.2	85.3	86.8	85.3	87.5
75	84.3	83.7	84.8	86.4	84.8	87.2
74	83.8	83.1	84.4	86	84.3	86.9
73	83.3	82.6	83.9	85.6	83.8	86.6
72	82.9	82.1	83.5	85.3	83.3	86.4
71	82.4	81.6	83	84.9	82.9	86.1
70	82	81.2	82.6	84.6	82.4	85.9
69	81.5	80.7	82.2	84.2	81.9	85.7
68	81.1	80.3	81.9	83.9	81.5	85.5
67	80.7	79.8	81.5	83.6	81	85.3
66	80.4	79.4	81.2	83.3	80.6	85.1
65	80	79	80.9	82.9	80.2	84.9
64	79.7	78.7	80.6	82.6	79.8	84.7
63	79.4	78.3	80.3	82.3	79.4	84.5
62	79.1	78	80	82.1	79	84.3
61	78.8	77.6	79.8	81.8	78.7	84.2
60	78.5	77.3	79.6	81.5	78.3	84
59	78.2	77	79.3	81.3	78	83.9
58	78	76.7	79.1	81.1	77.7	83.7
57	77.7	76.4	78.9	80.9	77.4	83.6
56	77.5	76.2	78.7	80.7	77.2	83.5
55	77.2	75.9	78.5	80.4	76.9	83.4
54	77	75.7	78.4	80.2	76.6	83.3
53	76.8	75.4	78.2	80.1	76.4	83.2
52	76.6	75.2	78	79.9	76.2	83.1
51	76.4	75	77.9	79.7	75.9	82.9
50	76.3	74.8	77.7	79.5	75.7	82.9
49	76.1	74.6	77.6	79.4	75.5	82.8
48	75.9	74.4	77.5	79.2	75.3	82.7
47	75.7	74.2	77.3	79.1	75.1	82.6
46	75.6	74	77.2	78.9	74.9	82.5
45	75.4	73.8	77.1	78.8	74.8	82.4
44	75.3	73.6	77	78.7	74.6	82.3
43	75.2	73.5	76.8	78.5	74.4	82.3
42	75	73.3	76.7	78.4	74.3	82.2
41	74.9	73.2	76.6	78.3	74.1	82.2
40	74.8	73	76.5	78.2	74	82.1
39	74.6	72.9	76.4	78.1	73.9	82
38	74.5	72.7	76.3	78	73.7	82
37	74.4	72.6	76.2	77.9	73.6	81.9
36	74.3	72.5	76.1	77.8	73.5	81.9
35	74.2	72.3	76	77.7	73.4	81.9
34	74.1	72.2	76	77.6	73.3	81.8
33	74	72.1	75.9	77.6	73.2	81.8
32	73.9	72	75.8	77.5	73.1	81.7
31	73.8	71.8	75.7	77.4	73	81.7
30	73.7	71.7	75.7	77.4	72.9	81.7
29	73.6	71.6	75.6	77.3	72.8	81.7
28	73.5	71.5	75.5	77.3	72.7	81.6
27	73.4	71.4	75.4	77.2	72.7	81.6
26	73.3	71.3	75.4	77.2	72.6	81.6
25	73.2	71.1	75.3	77.1	72.6	81.6
24	73.1	71	75.3	77.1	72.5	81.6
23	73	70.9	75.2	77.1	72.5	81.5
22	72.9	70.8	75.1	77	72.4	81.5
21	72.9	70.7	75.1	77	72.4	81.5
20	72.8	70.6	75	77	72.3	81.5
19	72.7	70.5	75	76.9	72.3	81.5
18	72.6	70.4	74.9	76.9	72.2	81.4
17	72.6	70.3	74.9	76.9	72.2	81.4
16	72.5	70.3	74.9	76.9	72.2	81.4
15	72.5	70.2	74.8	76.8	72.2	81.4
14	72.4	70.1	74.8	76.8	72.2	81.4
13	72.4	70.1	74.7	76.8	72.1	81.4
12	72.3	70	74.7	76.8	72.1	81.4
11	72.3	70	74.7	76.8	72.1	81.4
10	72.2	69.9	74.6	76.8	72.1	81.4
9	72.2	69.8	74.6	76.8	72.1	81.4
8	72.1	69.8	74.5	76.8	72.1	81.3
7	72	69.7	74.5	76.8	72.1	81.3
6	71.9	69.6	74.4	76.8	72.1	81.3
5	71.8	69.4	74.3	76.8	72.1	81.3
4	71.7	69.3	74.1	76.7	72.1	81.3
3	71.5	69.1	74	76.7	72.1	81.3
2	71.4	69	73.8	76.7	72	81.3
1	71.2	68.8	73.6	76.7	72	81.3
0	69.1	66.6	71.7	76.5	71.8	81.1

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 77.4 in Lithuania, rising to 80 and 82.9 at 65, and to 87 and 88.4 at 80 — higher than the 69.1 and 76.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bolivia

Male

Female

Lithuania

Male

Female

1x

Age	Survival probability
	Bolivia			Lithuania
	Average	Male	Female	Average	Male	Female
100	0.45%	0.22%	0.68%	0.83%	0.39%	1.21%
99	0.68%	0.36%	1.01%	1.32%	0.62%	1.92%
98	1%	0.56%	1.45%	2.01%	0.95%	2.92%
97	1.44%	0.84%	2.04%	2.95%	1.42%	4.28%
96	2.01%	1.23%	2.8%	4.19%	2.04%	6.06%
95	2.74%	1.74%	3.75%	5.75%	2.85%	8.27%
94	3.64%	2.39%	4.9%	7.68%	3.93%	11%
93	4.72%	3.2%	6.26%	10%	5.28%	14.2%
92	5.99%	4.18%	7.84%	12.6%	6.79%	17.7%
91	7.47%	5.33%	9.64%	15.4%	8.41%	21.6%
90	9.14%	6.67%	11.7%	18.6%	10.4%	25.8%
89	11%	8.21%	13.9%	21.9%	12.6%	30.1%
88	13.1%	9.94%	16.3%	25.3%	14.8%	34.6%
87	15.4%	11.9%	19%	28.8%	17.3%	39.2%
86	17.8%	14%	21.8%	32.4%	19.9%	43.6%
85	20.5%	16.2%	24.8%	35.8%	22.5%	47.9%
84	23.2%	18.6%	27.9%	39.2%	25.1%	51.9%
83	26.1%	21.2%	31.1%	42.4%	27.8%	55.7%
82	29%	23.8%	34.4%	45.4%	30.5%	59.1%
81	31.9%	26.5%	37.6%	48.3%	33.2%	62.3%
80	34.8%	29.2%	40.7%	51.1%	35.8%	65.3%
79	37.7%	32%	43.8%	53.6%	38.4%	67.9%
78	40.6%	34.7%	46.7%	56%	40.9%	70.3%
77	43.4%	37.5%	49.6%	58.3%	43.5%	72.5%
76	46.1%	40.2%	52.4%	60.6%	46.1%	74.5%
75	48.8%	42.9%	55%	62.7%	48.6%	76.3%
74	51.4%	45.6%	57.7%	64.7%	51.1%	78.1%
73	54%	48.1%	60.2%	66.7%	53.5%	79.6%
72	56.5%	50.7%	62.6%	68.6%	55.9%	81.1%
71	58.8%	53.1%	64.9%	70.4%	58.2%	82.4%
70	61.1%	55.5%	67.1%	72.1%	60.5%	83.6%
69	63.3%	57.7%	69.2%	73.7%	62.7%	84.8%
68	65.3%	59.9%	71.1%	75.3%	64.9%	85.9%
67	67.2%	61.9%	72.9%	76.8%	67%	86.9%
66	69%	63.9%	74.5%	78.3%	69.1%	87.9%
65	70.7%	65.7%	76%	79.8%	71.1%	88.8%
64	72.3%	67.4%	77.4%	81.1%	73%	89.6%
63	73.7%	69.1%	78.7%	82.3%	74.8%	90.3%
62	75.1%	70.6%	79.8%	83.5%	76.4%	91%
61	76.4%	72%	80.9%	84.6%	78%	91.7%
60	77.5%	73.4%	81.9%	85.7%	79.5%	92.3%
59	78.7%	74.7%	82.9%	86.6%	80.8%	92.8%
58	79.7%	75.9%	83.7%	87.5%	82.1%	93.3%
57	80.7%	77%	84.5%	88.3%	83.2%	93.7%
56	81.6%	78.1%	85.3%	89%	84.4%	94.1%
55	82.4%	79.1%	85.9%	89.8%	85.4%	94.5%
54	83.2%	80%	86.6%	90.5%	86.4%	94.9%
53	84%	80.9%	87.2%	91.1%	87.4%	95.3%
52	84.6%	81.7%	87.7%	91.7%	88.2%	95.6%
51	85.3%	82.5%	88.2%	92.3%	89%	95.9%
50	85.9%	83.2%	88.7%	92.8%	89.7%	96.2%
49	86.5%	83.9%	89.1%	93.3%	90.4%	96.5%
48	87%	84.5%	89.6%	93.7%	91.1%	96.7%
47	87.5%	85.1%	90%	94.2%	91.8%	97%
46	88%	85.7%	90.3%	94.6%	92.3%	97.2%
45	88.4%	86.2%	90.7%	95%	92.9%	97.4%
44	88.8%	86.7%	91%	95.4%	93.4%	97.6%
43	89.2%	87.2%	91.3%	95.7%	93.9%	97.8%
42	89.6%	87.7%	91.6%	96%	94.3%	97.9%
41	90%	88.1%	91.9%	96.3%	94.8%	98%
40	90.3%	88.5%	92.2%	96.6%	95.2%	98.2%
39	90.6%	88.9%	92.4%	96.9%	95.6%	98.3%
38	90.9%	89.2%	92.7%	97.1%	96%	98.4%
37	91.2%	89.6%	92.9%	97.4%	96.3%	98.5%
36	91.5%	89.9%	93.1%	97.6%	96.6%	98.6%
35	91.7%	90.2%	93.3%	97.8%	96.9%	98.7%
34	92%	90.5%	93.5%	97.9%	97.1%	98.8%
33	92.2%	90.8%	93.7%	98.1%	97.4%	98.9%
32	92.4%	91.1%	93.8%	98.3%	97.6%	99%
31	92.6%	91.4%	94%	98.4%	97.8%	99%
30	92.9%	91.6%	94.1%	98.5%	98%	99.1%
29	93.1%	91.9%	94.3%	98.6%	98.2%	99.1%
28	93.3%	92.1%	94.4%	98.7%	98.3%	99.2%
27	93.4%	92.4%	94.6%	98.8%	98.5%	99.2%
26	93.6%	92.6%	94.7%	98.9%	98.6%	99.2%
25	93.8%	92.8%	94.8%	99%	98.7%	99.3%
24	94%	93.1%	94.9%	99.1%	98.8%	99.3%
23	94.1%	93.3%	95%	99.1%	98.9%	99.3%
22	94.3%	93.5%	95.1%	99.2%	99%	99.4%
21	94.5%	93.7%	95.2%	99.2%	99.1%	99.4%
20	94.6%	93.9%	95.3%	99.3%	99.2%	99.4%
19	94.7%	94.1%	95.4%	99.4%	99.3%	99.5%
18	94.9%	94.2%	95.5%	99.4%	99.4%	99.5%
17	95%	94.4%	95.6%	99.5%	99.4%	99.5%
16	95.1%	94.5%	95.6%	99.5%	99.4%	99.5%
15	95.1%	94.6%	95.7%	99.5%	99.5%	99.5%
14	95.2%	94.7%	95.7%	99.5%	99.5%	99.6%
13	95.3%	94.8%	95.8%	99.6%	99.5%	99.6%
12	95.4%	94.9%	95.8%	99.6%	99.6%	99.6%
11	95.4%	95%	95.9%	99.6%	99.6%	99.6%
10	95.5%	95.1%	96%	99.6%	99.6%	99.6%
9	95.6%	95.2%	96%	99.6%	99.6%	99.6%
8	95.7%	95.3%	96.1%	99.6%	99.6%	99.6%
7	95.8%	95.5%	96.2%	99.6%	99.6%	99.6%
6	96%	95.6%	96.3%	99.6%	99.6%	99.7%
5	96.2%	95.8%	96.5%	99.6%	99.6%	99.7%
4	96.3%	96%	96.7%	99.7%	99.6%	99.7%
3	96.5%	96.2%	96.9%	99.7%	99.7%	99.7%
2	96.8%	96.5%	97.1%	99.7%	99.7%	99.7%
1	97%	96.7%	97.4%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 77.5% of newborns in Bolivia and 85.7% in Lithuania are expected to live past 60, 61.1% and 72.1% past 70, 34.8% and 51.1% past 80, and only 9.14% and 18.6% 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

Lithuania

Male

Female

1x

Age	Probability of dying
	Bolivia			Lithuania
	Average	Male	Female	Average	Male	Female
100	35.5%	39.7%	34.1%	39.3%	39.3%	39.3%
99	33.7%	37.5%	32.3%	36.9%	37.2%	36.8%
98	32%	35.6%	30.6%	34.4%	35%	34.3%
97	30.3%	33.7%	28.9%	32%	32.8%	31.8%
96	28.5%	31.6%	27.1%	29.6%	30.6%	29.3%
95	26.6%	29.4%	25.3%	27.1%	28.5%	26.8%
94	24.7%	27.3%	23.5%	25.2%	27.3%	24.6%
93	23%	25.3%	21.8%	23.2%	25.7%	22.5%
92	21.3%	23.4%	20.1%	20.7%	22.1%	20.2%
91	19.7%	21.6%	18.7%	18.3%	19.3%	18%
90	18.3%	20.1%	17.3%	16.8%	19.1%	16.1%
89	17%	18.7%	16.1%	15.2%	17.3%	14.5%
88	15.9%	17.4%	15%	13.5%	15.1%	13%
87	14.8%	16.2%	14%	12.3%	14.4%	11.6%
86	13.8%	15.1%	13%	11%	13.1%	10.2%
85	12.8%	14%	12.1%	9.6%	11.4%	8.93%
84	11.9%	12.9%	11.2%	8.47%	10.4%	7.75%
83	10.9%	11.9%	10.3%	7.54%	9.67%	6.7%
82	10%	11%	9.38%	6.69%	8.81%	5.82%
81	9.2%	10.1%	8.52%	6.01%	8.11%	5.12%
80	8.41%	9.35%	7.72%	5.41%	7.44%	4.51%
79	7.68%	8.62%	6.98%	4.77%	6.65%	3.91%
78	7.04%	7.95%	6.34%	4.3%	6.23%	3.39%
77	6.46%	7.35%	5.78%	3.98%	6%	2.98%
76	5.95%	6.79%	5.3%	3.69%	5.61%	2.7%
75	5.51%	6.28%	4.89%	3.4%	5.16%	2.45%
74	5.1%	5.81%	4.52%	3.14%	4.82%	2.19%
73	4.73%	5.38%	4.19%	2.93%	4.53%	1.99%
72	4.38%	4.98%	3.87%	2.74%	4.26%	1.82%
71	4.04%	4.6%	3.56%	2.54%	4.02%	1.6%
70	3.72%	4.25%	3.26%	2.35%	3.77%	1.44%
69	3.42%	3.92%	2.97%	2.23%	3.51%	1.37%
68	3.13%	3.61%	2.7%	2.11%	3.33%	1.26%
67	2.85%	3.32%	2.44%	2.01%	3.19%	1.16%
66	2.6%	3.04%	2.2%	1.92%	3.03%	1.11%
65	2.36%	2.78%	1.98%	1.79%	2.81%	1.01%
64	2.16%	2.55%	1.79%	1.64%	2.58%	0.9%
63	1.97%	2.35%	1.62%	1.52%	2.36%	0.83%
62	1.81%	2.16%	1.47%	1.41%	2.17%	0.78%
61	1.66%	2%	1.34%	1.31%	2.01%	0.71%
60	1.54%	1.86%	1.23%	1.2%	1.86%	0.63%
59	1.42%	1.73%	1.13%	1.09%	1.69%	0.58%
58	1.31%	1.6%	1.03%	0.98%	1.48%	0.54%
57	1.21%	1.49%	0.94%	0.91%	1.39%	0.47%
56	1.12%	1.37%	0.86%	0.86%	1.34%	0.42%
55	1.03%	1.26%	0.79%	0.83%	1.26%	0.42%
54	0.94%	1.16%	0.73%	0.78%	1.16%	0.42%
53	0.87%	1.08%	0.67%	0.7%	1.06%	0.36%
52	0.81%	1%	0.62%	0.65%	0.97%	0.34%
51	0.75%	0.93%	0.58%	0.61%	0.88%	0.34%
50	0.7%	0.87%	0.54%	0.56%	0.83%	0.29%
49	0.66%	0.81%	0.5%	0.53%	0.78%	0.27%
48	0.62%	0.76%	0.47%	0.51%	0.74%	0.27%
47	0.58%	0.71%	0.44%	0.48%	0.69%	0.25%
46	0.54%	0.66%	0.41%	0.44%	0.64%	0.23%
45	0.5%	0.62%	0.39%	0.41%	0.6%	0.2%
44	0.47%	0.58%	0.36%	0.38%	0.54%	0.2%
43	0.44%	0.54%	0.34%	0.35%	0.5%	0.19%
42	0.42%	0.51%	0.32%	0.33%	0.49%	0.16%
41	0.39%	0.48%	0.3%	0.31%	0.47%	0.13%
40	0.37%	0.45%	0.29%	0.28%	0.42%	0.13%
39	0.35%	0.43%	0.27%	0.28%	0.41%	0.13%
38	0.33%	0.41%	0.26%	0.27%	0.4%	0.12%
37	0.32%	0.39%	0.24%	0.23%	0.33%	0.11%
36	0.3%	0.37%	0.23%	0.21%	0.3%	0.1%
35	0.28%	0.35%	0.21%	0.2%	0.29%	0.09%
34	0.27%	0.33%	0.2%	0.19%	0.28%	0.09%
33	0.25%	0.32%	0.19%	0.18%	0.26%	0.09%
32	0.24%	0.3%	0.18%	0.15%	0.23%	0.06%
31	0.23%	0.29%	0.17%	0.13%	0.2%	0.06%
30	0.22%	0.28%	0.16%	0.13%	0.19%	0.06%
29	0.22%	0.28%	0.15%	0.13%	0.2%	0.05%
28	0.21%	0.27%	0.15%	0.11%	0.18%	0.04%
27	0.2%	0.27%	0.14%	0.09%	0.14%	0.04%
26	0.2%	0.26%	0.13%	0.08%	0.13%	0.04%
25	0.19%	0.26%	0.13%	0.08%	0.12%	0.03%
24	0.18%	0.25%	0.12%	0.07%	0.11%	0.03%
23	0.18%	0.24%	0.11%	0.07%	0.1%	0.03%
22	0.17%	0.23%	0.11%	0.06%	0.09%	0.03%
21	0.16%	0.22%	0.1%	0.06%	0.08%	0.03%
20	0.15%	0.2%	0.1%	0.06%	0.08%	0.03%
19	0.14%	0.18%	0.09%	0.06%	0.09%	0.03%
18	0.13%	0.17%	0.08%	0.05%	0.07%	0.03%
17	0.11%	0.15%	0.08%	0.03%	0.04%	0.02%
16	0.1%	0.13%	0.07%	0.03%	0.05%	0.02%
15	0.09%	0.12%	0.06%	0.03%	0.04%	0.02%
14	0.08%	0.11%	0.06%	0.03%	0.03%	0.02%
13	0.08%	0.1%	0.05%	0.02%	0.02%	0.02%
12	0.07%	0.1%	0.05%	0.01%	0.02%	0.01%
11	0.08%	0.1%	0.06%	0.01%	0.02%	0.008%
10	0.08%	0.11%	0.06%	0.01%	0.01%	0.01%
9	0.1%	0.12%	0.07%	0.01%	0.009%	0.01%
8	0.11%	0.13%	0.09%	0.01%	0.01%	0.01%
7	0.13%	0.15%	0.11%	0.01%	0.01%	0.01%
6	0.15%	0.17%	0.13%	0.01%	0.009%	0.01%
5	0.17%	0.19%	0.15%	0.009%	0.009%	0.01%
4	0.2%	0.21%	0.18%	0.01%	0.01%	0.01%
3	0.22%	0.23%	0.21%	0.01%	0.01%	0.01%
2	0.24%	0.25%	0.23%	0.01%	0.01%	0.01%
1	0.27%	0.27%	0.27%	0.03%	0.02%	0.03%
0	2.96%	3.25%	2.65%	0.29%	0.3%	0.28%

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

The annual chance of dying is 2.96% in the birth year in Bolivia and 0.29% in Lithuania, 0.22% vs 0.13% at age 30, 1.54% vs 1.2% at 60, and 8.41% vs 5.41% at 80.

Death rate by age in Bolivia vs Lithuania

Chart Table

Bolivia

Male

Female

Lithuania

Male

Female

1x

Age	Death rate
	Bolivia			Lithuania
	Total	Male	Female	Total	Male	Female
100	82.4	19.8	145.5	174.6	56.5	274.1
99	229.3	134.6	325	485	230.3	706
98	321	198.6	445	690	333	1,000
97	435	282.8	590	945	465	1,362
96	572	388	759	1,240	624	1,777
95	728	512	948	1,559	812	2,213
94	900	654	1,151	1,933	1,074	2,695
93	1,083	809	1,363	2,322	1,356	3,186
92	1,275	976	1,580	2,605	1,503	3,588
91	1,472	1,153	1,800	2,822	1,627	3,887
90	1,674	1,340	2,019	3,119	1,989	4,148
89	1,878	1,535	2,237	3,315	2,179	4,361
88	2,080	1,732	2,449	3,420	2,242	4,500
87	2,276	1,925	2,651	3,556	2,501	4,539
86	2,459	2,106	2,836	3,561	2,606	4,462
85	2,620	2,270	2,994	3,442	2,562	4,282
84	2,752	2,411	3,116	3,319	2,605	4,028
83	2,849	2,527	3,194	3,194	2,688	3,733
82	2,909	2,618	3,221	3,036	2,683	3,441
81	2,934	2,686	3,201	2,903	2,691	3,191
80	2,927	2,731	3,141	2,761	2,665	2,945
79	2,899	2,756	3,056	2,559	2,550	2,657
78	2,856	2,763	2,960	2,410	2,551	2,381
77	2,803	2,753	2,864	2,321	2,611	2,161
76	2,747	2,730	2,775	2,234	2,586	2,009
75	2,688	2,693	2,691	2,134	2,512	1,873
74	2,625	2,646	2,609	2,030	2,466	1,712
73	2,554	2,588	2,522	1,953	2,423	1,589
72	2,473	2,521	2,425	1,881	2,380	1,473
71	2,380	2,445	2,314	1,785	2,341	1,322
70	2,276	2,359	2,191	1,696	2,284	1,202
69	2,163	2,265	2,057	1,642	2,203	1,159
68	2,042	2,163	1,917	1,590	2,161	1,081
67	1,918	2,054	1,776	1,542	2,140	1,004
66	1,793	1,941	1,639	1,507	2,091	975
65	1,672	1,829	1,508	1,429	2,002	900
64	1,558	1,721	1,386	1,330	1,887	809
63	1,453	1,619	1,276	1,248	1,765	754
62	1,357	1,527	1,176	1,177	1,655	711
61	1,271	1,443	1,087	1,106	1,569	648
60	1,192	1,365	1,007	1,028	1,481	582
59	1,118	1,290	932	942	1,363	535
58	1,047	1,217	863	857	1,218	506
57	978	1,144	798	800	1,155	445
56	911	1,071	737	766	1,132	394
55	846	1,000	680	742	1,077	398
54	786	932	629	702	1,001	394
53	732	870	583	639	928	338
52	683	814	543	596	853	327
51	641	765	509	560	787	324
50	603	720	478	518	741	280.7
49	568	680	450	493	708	260
48	535	641	424	475	674	256.5
47	504	604	399	448	630	244.5
46	474	568	375	417	589	222.4
45	445	533	352	391	555	199.3
44	418	501	330	361	507	192
43	394	471	311	336	467	183.2
42	372	445	293.9	320	461	155.8
41	353	423	278.9	301	446	132.1
40	336	402	265.2	275.1	398	130.8
39	320	384	252.3	271.3	396	125
38	304	366	239.5	262.3	387	115.9
37	288.9	348	226.5	224.5	322	110.3
36	273.7	331	213.3	201.3	287.8	100.8
35	258.9	315	200.3	194	281.1	93.1
34	245.1	299.8	188.2	186.8	269.6	92.7
33	233	286.6	177.2	172.2	250.4	84.7
32	222.8	275.6	167.7	148.5	225.2	62.9
31	214.3	266.8	159.6	130.3	194.6	59.1
30	207.4	260.1	152.6	123.6	182.3	59.6
29	201.6	254.9	146	123.7	194.9	46.9
28	196.2	250.6	139.6	109.5	173.6	40.2
27	190.9	246.6	132.9	90.6	138.4	39.5
26	185.4	242.3	126.1	82.1	123.9	38.2
25	179.4	237.3	119.2	77	118.5	33.7
24	173.2	231.1	112.9	67.9	107	27.3
23	166.5	223.4	107.2	64.5	99.2	28.2
22	159.3	214.1	102.2	62.3	92.2	31.2
21	151.3	202.7	97.7	56.7	82.6	30
20	142.1	189.3	93	56.2	83.3	28.3
19	131.6	173.8	87.5	62.7	94.3	30
18	119.8	157.1	80.9	50.7	70.8	29.8
17	107.3	139.9	73.3	34.2	43.8	24.1
16	95.3	123.8	65.6	30.9	45.9	15.2
15	84.9	110.1	58.6	29.1	40.8	16.8
14	77.1	99.8	53.3	25	28.9	20.8
13	72.5	93.6	50.5	19.1	21.8	16.4
12	71.5	91.7	50.4	14.3	18.6	9.7
11	74.3	94.2	53.5	12.2	15.7	8.41
10	81	101	60.1	10.5	10.8	10.2
9	91.8	112	70.7	10.3	9.11	11.5
8	106.6	126.8	85.5	12	13.2	10.7
7	124.5	144.1	104	11.3	12	10.7
6	144.8	163.1	125.6	9.63	8.66	10.7
5	166.1	182.4	149.1	9.42	9.23	9.62
4	188.1	201.6	173.9	11.3	12.2	10.4
3	210.6	220.7	200	13.8	14.4	13.1
2	234.2	240.2	227.9	13.2	14.4	11.8
1	260.2	261.3	259.1	25.4	24.3	26.4
0	2,956	3,254	2,646	291.9	305	278.5

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 86 in Lithuania. The median age of death is 74.5 in Bolivia and 80.4 in Lithuania, 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 Lithuania more than their death rates.

Life expectancy in other countries

+ -

1x