Life Expectancy in Bolivia vs Germany (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Bolivia vs Germany: 73.6 years vs 82.3 at 30, 80 vs 85.1 at 65, 87 vs 89.2 at 80 — significantly higher than the 68.9 vs 81.7 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Bolivia and Germany.

Table

Current age, years	Total life expectancy, years
	Bolivia			Germany
	Average	Male	Female	Average	Male	Female
0	68.9	66.4	71.5	81.7	79.4	84
1	71.1	68.7	73.5	81.9	79.7	84.2
2	71.2	68.9	73.7	82	79.7	84.2
3	71.4	69	73.9	82	79.7	84.2
4	71.6	69.2	74	82	79.7	84.3
5	71.7	69.3	74.2	82	79.7	84.3
6	71.8	69.5	74.3	82	79.7	84.3
7	71.9	69.6	74.4	82	79.7	84.3
8	72	69.7	74.4	82	79.7	84.3
9	72.1	69.8	74.5	82	79.7	84.3
10	72.1	69.8	74.5	82	79.7	84.3
11	72.2	69.9	74.6	82	79.7	84.3
12	72.2	69.9	74.6	82	79.7	84.3
13	72.3	70	74.7	82	79.7	84.3
14	72.3	70.1	74.7	82	79.7	84.3
15	72.4	70.1	74.7	82	79.7	84.3
16	72.4	70.2	74.8	82	79.8	84.3
17	72.5	70.3	74.8	82	79.8	84.3
18	72.6	70.3	74.9	82.1	79.8	84.3
19	72.6	70.4	74.9	82.1	79.8	84.3
20	72.7	70.5	75	82.1	79.8	84.4
21	72.8	70.6	75	82.1	79.9	84.4
22	72.9	70.7	75.1	82.1	79.9	84.4
23	73	70.8	75.1	82.1	79.9	84.4
24	73	71	75.2	82.2	79.9	84.4
25	73.1	71.1	75.2	82.2	79.9	84.4
26	73.2	71.2	75.3	82.2	80	84.4
27	73.3	71.3	75.4	82.2	80	84.4
28	73.4	71.4	75.4	82.2	80	84.4
29	73.5	71.6	75.5	82.2	80	84.4
30	73.6	71.7	75.6	82.3	80	84.5
31	73.7	71.8	75.7	82.3	80.1	84.5
32	73.8	71.9	75.7	82.3	80.1	84.5
33	73.9	72	75.8	82.3	80.1	84.5
34	74	72.2	75.9	82.3	80.2	84.5
35	74.1	72.3	76	82.4	80.2	84.5
36	74.2	72.4	76.1	82.4	80.2	84.6
37	74.3	72.5	76.2	82.4	80.3	84.6
38	74.5	72.7	76.3	82.5	80.3	84.6
39	74.6	72.8	76.4	82.5	80.3	84.6
40	74.7	73	76.5	82.5	80.4	84.6
41	74.8	73.1	76.6	82.6	80.4	84.7
42	75	73.3	76.7	82.6	80.5	84.7
43	75.1	73.4	76.8	82.6	80.5	84.7
44	75.2	73.6	76.9	82.7	80.6	84.8
45	75.4	73.8	77	82.7	80.6	84.8
46	75.5	73.9	77.1	82.8	80.7	84.8
47	75.7	74.1	77.3	82.8	80.8	84.9
48	75.9	74.3	77.4	82.9	80.8	84.9
49	76	74.5	77.5	83	80.9	85
50	76.2	74.7	77.7	83	81	85
51	76.4	74.9	77.8	83.1	81.1	85.1
52	76.6	75.2	78	83.2	81.2	85.2
53	76.8	75.4	78.2	83.3	81.3	85.2
54	77	75.6	78.3	83.4	81.4	85.3
55	77.2	75.9	78.5	83.5	81.6	85.4
56	77.4	76.1	78.7	83.6	81.7	85.5
57	77.7	76.4	78.9	83.7	81.8	85.6
58	77.9	76.7	79.1	83.9	82	85.7
59	78.2	77	79.3	84	82.2	85.8
60	78.5	77.3	79.5	84.2	82.4	85.9
61	78.7	77.6	79.8	84.4	82.6	86
62	79	78	80	84.5	82.8	86.2
63	79.3	78.3	80.3	84.7	83	86.3
64	79.7	78.7	80.6	84.9	83.3	86.4
65	80	79	80.8	85.1	83.5	86.6
66	80.3	79.4	81.2	85.3	83.8	86.7
67	80.7	79.8	81.5	85.5	84	86.9
68	81.1	80.3	81.8	85.8	84.3	87.1
69	81.5	80.7	82.2	86	84.6	87.3
70	81.9	81.2	82.6	86.2	84.9	87.4
71	82.4	81.6	83	86.5	85.2	87.6
72	82.8	82.1	83.4	86.8	85.5	87.8
73	83.3	82.6	83.9	87	85.8	88.1
74	83.8	83.1	84.3	87.3	86.1	88.3
75	84.3	83.7	84.8	87.6	86.5	88.5
76	84.8	84.2	85.3	87.9	86.8	88.7
77	85.4	84.8	85.8	88.2	87.2	89
78	85.9	85.4	86.3	88.5	87.6	89.2
79	86.5	86	86.8	88.8	87.9	89.5
80	87	86.6	87.4	89.2	88.3	89.8
81	87.6	87.2	88	89.5	88.8	90.1
82	88.3	87.8	88.6	89.9	89.2	90.5
83	88.9	88.5	89.2	90.4	89.7	90.8
84	89.6	89.2	89.8	90.8	90.2	91.2
85	90.3	89.9	90.5	91.3	90.7	91.7
86	91	90.6	91.2	91.8	91.3	92.2
87	91.7	91.3	91.9	92.4	91.9	92.7
88	92.4	92.1	92.6	92.9	92.5	93.2
89	93.1	92.8	93.3	93.6	93.2	93.8
90	93.9	93.6	94.1	94.2	93.8	94.4
91	94.6	94.3	94.8	94.8	94.5	95
92	95.4	95.1	95.6	95.5	95.2	95.7
93	96.2	95.9	96.3	96.3	96	96.4
94	97	96.7	97.1	97	96.8	97.1
95	97.8	97.5	98	97.8	97.6	97.8
96	98.7	98.4	98.8	98.6	98.4	98.6
97	99.5	99.3	99.6	99.4	99.2	99.4
98	100.4	100.2	100.5	100.2	100.1	100.2
99	101.3	101.1	101.4	101	100.9	101.1
100	102.2	102.1	102.3	101.9	101.8	101.9

Odds of living to age in Bolivia vs Germany

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 77.3% in Bolivia and 93.3% in Germany are expected to survive till at least 60 years old, 60.9% and 84% will live to 70 years or older, 34.6% and 66% to 80+ years, and 9.08% and 28.2% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Bolivia			Germany
	Average	Male	Female	Average	Male	Female
1	97%	96.7%	97.3%	99.7%	99.7%	99.7%
2	96.7%	96.4%	97%	99.7%	99.7%	99.7%
3	96.5%	96.2%	96.8%	99.7%	99.7%	99.7%
4	96.2%	95.9%	96.6%	99.7%	99.7%	99.7%
5	96.1%	95.7%	96.4%	99.7%	99.6%	99.7%
6	95.9%	95.6%	96.2%	99.7%	99.6%	99.7%
7	95.7%	95.4%	96.1%	99.7%	99.6%	99.7%
8	95.6%	95.2%	96%	99.7%	99.6%	99.7%
9	95.5%	95.1%	95.9%	99.6%	99.6%	99.7%
10	95.4%	95%	95.8%	99.6%	99.6%	99.7%
11	95.3%	94.9%	95.8%	99.6%	99.6%	99.7%
12	95.2%	94.8%	95.7%	99.6%	99.6%	99.7%
13	95.2%	94.7%	95.7%	99.6%	99.6%	99.7%
14	95.1%	94.6%	95.6%	99.6%	99.6%	99.6%
15	95%	94.5%	95.6%	99.6%	99.6%	99.6%
16	94.9%	94.4%	95.5%	99.6%	99.6%	99.6%
17	94.8%	94.3%	95.4%	99.6%	99.5%	99.6%
18	94.7%	94.1%	95.4%	99.6%	99.5%	99.6%
19	94.6%	94%	95.3%	99.5%	99.5%	99.6%
20	94.5%	93.8%	95.2%	99.5%	99.4%	99.6%
21	94.3%	93.6%	95.1%	99.5%	99.4%	99.6%
22	94.2%	93.4%	95%	99.5%	99.4%	99.5%
23	94%	93.2%	94.9%	99.4%	99.3%	99.5%
24	93.8%	93%	94.8%	99.4%	99.3%	99.5%
25	93.7%	92.7%	94.7%	99.4%	99.3%	99.5%
26	93.5%	92.5%	94.5%	99.3%	99.2%	99.5%
27	93.3%	92.2%	94.4%	99.3%	99.2%	99.5%
28	93.1%	92%	94.3%	99.3%	99.1%	99.4%
29	92.9%	91.7%	94.1%	99.2%	99.1%	99.4%
30	92.7%	91.5%	94%	99.2%	99%	99.4%
31	92.5%	91.2%	93.8%	99.2%	99%	99.4%
32	92.3%	90.9%	93.7%	99.1%	98.9%	99.3%
33	92%	90.7%	93.5%	99.1%	98.9%	99.3%
34	91.8%	90.4%	93.3%	99%	98.8%	99.3%
35	91.6%	90.1%	93.1%	99%	98.8%	99.2%
36	91.3%	89.7%	92.9%	98.9%	98.7%	99.2%
37	91%	89.4%	92.7%	98.9%	98.6%	99.2%
38	90.7%	89.1%	92.5%	98.8%	98.5%	99.1%
39	90.4%	88.7%	92.2%	98.7%	98.4%	99.1%
40	90.1%	88.3%	92%	98.7%	98.3%	99%
41	89.8%	87.9%	91.7%	98.6%	98.2%	98.9%
42	89.4%	87.5%	91.4%	98.5%	98.1%	98.9%
43	89%	87%	91.1%	98.4%	98%	98.8%
44	88.6%	86.5%	90.8%	98.3%	97.8%	98.7%
45	88.2%	86%	90.5%	98.1%	97.7%	98.6%
46	87.8%	85.5%	90.1%	98%	97.5%	98.5%
47	87.3%	84.9%	89.7%	97.9%	97.3%	98.4%
48	86.8%	84.3%	89.3%	97.7%	97.1%	98.3%
49	86.2%	83.7%	88.9%	97.5%	96.9%	98.2%
50	85.7%	83%	88.5%	97.3%	96.6%	98%
51	85.1%	82.3%	88%	97.1%	96.3%	97.8%
52	84.4%	81.5%	87.5%	96.8%	96%	97.7%
53	83.7%	80.7%	86.9%	96.5%	95.6%	97.4%
54	83%	79.8%	86.3%	96.2%	95.2%	97.2%
55	82.2%	78.9%	85.7%	95.8%	94.7%	96.9%
56	81.4%	77.9%	85%	95.4%	94.2%	96.7%
57	80.4%	76.8%	84.3%	95%	93.6%	96.3%
58	79.5%	75.7%	83.5%	94.5%	93%	96%
59	78.4%	74.4%	82.6%	93.9%	92.3%	95.6%
60	77.3%	73.2%	81.7%	93.3%	91.5%	95.2%
61	76.1%	71.8%	80.7%	92.7%	90.7%	94.7%
62	74.8%	70.3%	79.6%	92%	89.8%	94.2%
63	73.5%	68.8%	78.4%	91.2%	88.8%	93.7%
64	72%	67.2%	77.1%	90.4%	87.7%	93.1%
65	70.5%	65.5%	75.7%	89.5%	86.6%	92.5%
66	68.8%	63.7%	74.2%	88.5%	85.4%	91.8%
67	67%	61.7%	72.6%	87.5%	84.1%	91%
68	65.1%	59.7%	70.8%	86.4%	82.7%	90.3%
69	63%	57.5%	68.9%	85.3%	81.2%	89.4%
70	60.9%	55.2%	66.8%	84%	79.7%	88.5%
71	58.6%	52.9%	64.6%	82.7%	78.1%	87.5%
72	56.2%	50.4%	62.3%	81.3%	76.3%	86.4%
73	53.7%	47.9%	59.9%	79.8%	74.5%	85.2%
74	51.2%	45.3%	57.4%	78.2%	72.6%	83.9%
75	48.6%	42.7%	54.8%	76.5%	70.5%	82.6%
76	45.9%	40%	52.1%	74.7%	68.4%	81.1%
77	43.2%	37.3%	49.3%	72.8%	66.1%	79.6%
78	40.4%	34.6%	46.5%	70.7%	63.7%	77.8%
79	37.5%	31.8%	43.5%	68.5%	61.1%	75.9%
80	34.6%	29.1%	40.5%	66%	58.3%	73.7%
81	31.7%	26.3%	37.3%	63.2%	55.3%	71.3%
82	28.8%	23.7%	34.1%	60.2%	52%	68.5%
83	25.9%	21.1%	30.9%	57%	48.6%	65.4%
84	23.1%	18.5%	27.8%	53.5%	44.9%	62%
85	20.3%	16.1%	24.7%	49.7%	41.1%	58.2%
86	17.7%	13.9%	21.7%	45.6%	37.1%	54.1%
87	15.3%	11.8%	18.9%	41.4%	33%	49.7%
88	13%	9.88%	16.2%	37%	29%	45%
89	10.9%	8.16%	13.8%	32.6%	24.9%	40.1%
90	9.08%	6.63%	11.6%	28.2%	21.1%	35.1%
91	7.41%	5.3%	9.56%	23.9%	17.4%	30.2%
92	5.95%	4.15%	7.78%	19.8%	14.1%	25.3%
93	4.69%	3.18%	6.21%	16%	11%	20.8%
94	3.61%	2.38%	4.86%	12.6%	8.42%	16.6%
95	2.72%	1.73%	3.72%	9.64%	6.23%	12.9%
96	1.99%	1.22%	2.78%	7.16%	4.46%	9.71%
97	1.43%	0.84%	2.02%	5.14%	3.09%	7.05%
98	0.99%	0.55%	1.44%	3.56%	2.07%	4.93%
99	0.68%	0.36%	1%	2.37%	1.33%	3.32%
100	0.45%	0.22%	0.67%	1.52%	0.83%	2.15%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 3.03% in the birth year in Bolivia and 0.27% in Germany, 0.23% vs 0.04% at age 30, 1.54% vs 0.7% at 60, and 8.42% vs 4.14% at 80.

Below is a graph displaying the probabilities of dying in Bolivia compared to Germany at any given age.

Table

Age	Probability of dying
	Bolivia			Germany
	Average	Male	Female	Average	Male	Female
0	3.03%	3.32%	2.73%	0.27%	0.29%	0.25%
1	0.27%	0.28%	0.27%	0.03%	0.03%	0.03%
2	0.25%	0.25%	0.24%	0.01%	0.01%	0.009%
3	0.22%	0.23%	0.21%	0.009%	0.01%	0.008%
4	0.2%	0.21%	0.19%	0.009%	0.009%	0.008%
5	0.18%	0.19%	0.16%	0.008%	0.008%	0.007%
6	0.15%	0.17%	0.13%	0.007%	0.008%	0.006%
7	0.13%	0.15%	0.11%	0.006%	0.007%	0.005%
8	0.11%	0.14%	0.09%	0.006%	0.007%	0.005%
9	0.1%	0.12%	0.08%	0.006%	0.006%	0.005%
10	0.09%	0.11%	0.06%	0.006%	0.006%	0.005%
11	0.08%	0.1%	0.06%	0.006%	0.006%	0.006%
12	0.08%	0.1%	0.05%	0.007%	0.007%	0.007%
13	0.08%	0.1%	0.05%	0.008%	0.008%	0.008%
14	0.08%	0.11%	0.06%	0.01%	0.01%	0.009%
15	0.09%	0.12%	0.06%	0.01%	0.01%	0.01%
16	0.1%	0.13%	0.07%	0.02%	0.02%	0.01%
17	0.12%	0.15%	0.08%	0.02%	0.03%	0.01%
18	0.13%	0.17%	0.09%	0.02%	0.03%	0.01%
19	0.14%	0.19%	0.09%	0.03%	0.04%	0.02%
20	0.15%	0.2%	0.1%	0.03%	0.04%	0.02%
21	0.16%	0.22%	0.1%	0.03%	0.04%	0.01%
22	0.17%	0.23%	0.11%	0.03%	0.04%	0.01%
23	0.18%	0.24%	0.12%	0.03%	0.04%	0.02%
24	0.19%	0.25%	0.12%	0.03%	0.04%	0.02%
25	0.19%	0.26%	0.13%	0.03%	0.04%	0.02%
26	0.2%	0.27%	0.14%	0.03%	0.04%	0.02%
27	0.21%	0.27%	0.14%	0.03%	0.04%	0.02%
28	0.21%	0.28%	0.15%	0.03%	0.04%	0.02%
29	0.22%	0.28%	0.16%	0.04%	0.05%	0.02%
30	0.23%	0.29%	0.17%	0.04%	0.05%	0.03%
31	0.23%	0.3%	0.17%	0.04%	0.06%	0.03%
32	0.24%	0.31%	0.18%	0.05%	0.06%	0.03%
33	0.26%	0.32%	0.19%	0.05%	0.06%	0.03%
34	0.27%	0.34%	0.2%	0.05%	0.07%	0.04%
35	0.29%	0.35%	0.22%	0.06%	0.07%	0.04%
36	0.3%	0.37%	0.23%	0.06%	0.08%	0.04%
37	0.32%	0.39%	0.25%	0.07%	0.09%	0.05%
38	0.34%	0.41%	0.26%	0.07%	0.09%	0.05%
39	0.36%	0.44%	0.28%	0.08%	0.1%	0.06%
40	0.38%	0.46%	0.29%	0.09%	0.11%	0.06%
41	0.4%	0.48%	0.31%	0.09%	0.12%	0.07%
42	0.42%	0.51%	0.33%	0.1%	0.13%	0.07%
43	0.45%	0.55%	0.34%	0.11%	0.14%	0.08%
44	0.48%	0.58%	0.37%	0.12%	0.16%	0.09%
45	0.51%	0.62%	0.39%	0.14%	0.18%	0.1%
46	0.54%	0.67%	0.42%	0.15%	0.2%	0.11%
47	0.58%	0.71%	0.45%	0.17%	0.22%	0.13%
48	0.62%	0.76%	0.48%	0.19%	0.24%	0.14%
49	0.66%	0.82%	0.51%	0.22%	0.27%	0.16%
50	0.71%	0.87%	0.54%	0.24%	0.3%	0.18%
51	0.76%	0.93%	0.58%	0.27%	0.34%	0.19%
52	0.81%	1%	0.62%	0.3%	0.38%	0.22%
53	0.88%	1.08%	0.67%	0.34%	0.43%	0.24%
54	0.95%	1.17%	0.73%	0.38%	0.49%	0.27%
55	1.03%	1.27%	0.8%	0.42%	0.54%	0.3%
56	1.12%	1.38%	0.87%	0.47%	0.61%	0.33%
57	1.22%	1.49%	0.95%	0.52%	0.68%	0.36%
58	1.32%	1.61%	1.04%	0.57%	0.75%	0.4%
59	1.43%	1.74%	1.13%	0.63%	0.83%	0.44%
60	1.54%	1.87%	1.24%	0.7%	0.91%	0.48%
61	1.67%	2.01%	1.35%	0.76%	1%	0.53%
62	1.82%	2.17%	1.48%	0.83%	1.1%	0.57%
63	1.98%	2.35%	1.63%	0.91%	1.21%	0.62%
64	2.16%	2.56%	1.8%	0.99%	1.31%	0.68%
65	2.37%	2.79%	2%	1.07%	1.41%	0.74%
66	2.61%	3.05%	2.21%	1.15%	1.52%	0.8%
67	2.86%	3.33%	2.45%	1.25%	1.64%	0.87%
68	3.14%	3.62%	2.71%	1.34%	1.76%	0.95%
69	3.43%	3.93%	2.99%	1.45%	1.89%	1.04%
70	3.74%	4.27%	3.28%	1.57%	2.05%	1.14%
71	4.06%	4.61%	3.58%	1.7%	2.22%	1.25%
72	4.39%	4.99%	3.89%	1.84%	2.39%	1.36%
73	4.74%	5.39%	4.21%	1.99%	2.58%	1.47%
74	5.12%	5.82%	4.54%	2.16%	2.81%	1.61%
75	5.52%	6.29%	4.9%	2.36%	3.06%	1.77%
76	5.97%	6.8%	5.32%	2.59%	3.34%	1.95%
77	6.48%	7.36%	5.79%	2.86%	3.67%	2.18%
78	7.05%	7.97%	6.35%	3.2%	4.08%	2.47%
79	7.7%	8.63%	7%	3.62%	4.58%	2.86%
80	8.42%	9.36%	7.74%	4.14%	5.17%	3.34%
81	9.21%	10.2%	8.54%	4.73%	5.84%	3.88%
82	10.1%	11%	9.4%	5.41%	6.62%	4.5%
83	10.9%	11.9%	10.3%	6.2%	7.52%	5.23%
84	11.9%	12.9%	11.2%	7.1%	8.54%	6.08%
85	12.8%	14%	12.1%	8.14%	9.7%	7.07%
86	13.8%	15.1%	13%	9.3%	11%	8.19%
87	14.8%	16.2%	14%	10.6%	12.4%	9.44%
88	15.9%	17.4%	15%	12%	13.9%	10.8%
89	17.1%	18.7%	16.1%	13.5%	15.5%	12.4%
90	18.3%	20.1%	17.3%	15.3%	17.3%	14.1%
91	19.7%	21.6%	18.7%	17.1%	19.3%	16%
92	21.3%	23.3%	20.2%	19.1%	21.5%	18%
93	23%	25.2%	21.8%	21.2%	23.8%	20.1%
94	24.7%	27.3%	23.5%	23.4%	26.1%	22.3%
95	26.6%	29.4%	25.3%	25.8%	28.3%	24.7%
96	28.5%	31.6%	27.1%	28.2%	30.7%	27.4%
97	30.3%	33.7%	28.9%	30.8%	33.1%	30%
98	32%	35.7%	30.6%	33.3%	35.5%	32.7%
99	33.6%	37.5%	32.3%	35.9%	38%	35.3%
100	35.5%	39.7%	34.1%	38.4%	40.4%	38%

Death rate by age in Bolivia compared to Germany

In Bolivia, the most common age of death is 0, compared to 88 in Germany. The median age of death is 74.5 in Bolivia and 84.9 in Germany — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Bolivia			Germany
	Total	Male	Female	Total	Male	Female
0	3,030	3,318	2,732	272.1	292.4	250.7
1	266.5	266.1	267	28.1	30.9	25.2
2	240	244.8	234.9	10.5	11.5	9.45
3	215.8	225	206.2	9.02	9.63	8.37
4	192.7	205.6	179.3	8.66	9.05	8.24
5	170.2	186.1	153.6	7.93	8.39	7.44
6	148.2	166.4	129.3	6.95	7.77	6.09
7	127.4	147	107	6.15	7.21	5.03
8	109	129.2	87.9	5.72	6.72	4.66
9	93.9	114.1	72.7	5.65	6.45	4.81
10	82.7	102.8	61.7	5.9	6.44	5.33
11	75.8	95.8	54.9	6.24	6.37	6.1
12	72.9	93.2	51.6	6.86	6.73	7
13	73.9	95.1	51.7	7.88	8.01	7.75
14	78.5	101.4	54.6	9.57	10.4	8.68
15	86.4	111.8	59.9	12.3	14.2	10.3
16	97	125.6	67	15.9	19.4	12.3
17	109.1	141.9	74.9	20	25.8	13.9
18	121.8	159.3	82.7	23.5	31.7	14.8
19	133.7	176.3	89.3	25.9	35.6	15.7
20	144.4	191.9	94.9	26.7	37.1	15.8
21	153.6	205.5	99.6	26.3	37	14.9
22	161.7	217	104.2	26.4	37.2	14.9
23	169.1	226.5	109.3	26.9	37.8	15.3
24	175.8	234.2	115	27.6	38.7	15.5
25	182.2	240.4	121.5	28.4	39.7	15.9
26	188.1	245.5	128.4	29.3	40.4	17.1
27	193.7	249.9	135.4	30.7	41.4	18.8
28	199.1	253.9	142.1	32.8	43.4	21.1
29	204.5	258.1	148.6	35.6	46.4	23.7
30	210.3	263.3	155.2	39.3	50.6	26.8
31	217.3	270	162.3	42.8	55.3	29.2
32	225.8	278.8	170.5	45.6	59.7	30.4
33	236.1	289.8	180.1	48.6	63.3	32.6
34	248.3	303	191.1	52	67.3	35.7
35	262.1	318	203.4	56.1	72.7	38.3
36	277	335	216.4	60.6	78.8	41.2
37	292.4	352	229.7	65.9	85	45.5
38	308	369	242.8	71.6	91.5	50.5
39	323	387	255.6	78.3	100	55.4
40	339	406	268.5	85.7	110	60.3
41	356	426	282.2	93.1	119.6	65.5
42	375	449	297.3	101.2	129.5	71.9
43	397	475	314	110.3	140.1	79.7
44	421	504	334	122.4	155.5	88.6
45	448	536	355	136.6	174	98.6
46	477	571	378	151.7	192.5	110.2
47	507	607	402	168.6	212.6	123.8
48	539	644	427	188.4	236.8	139.2
49	571	683	453	210.5	264.2	155.7
50	606	723	481	233.2	293	172.4
51	644	768	512	258.5	326	190.2
52	687	817	547	289.5	367	210.7
53	735	873	587	325	414	234
54	789	935	632	363	464	259.6
55	849	1,002	684	404	516	288.7
56	913	1,073	740	448	572	319
57	980	1,146	802	494	633	350
58	1,049	1,219	867	543	698	382
59	1,120	1,292	936	595	764	420
60	1,194	1,366	1,010	651	833	461
61	1,272	1,443	1,091	708	908	500
62	1,358	1,527	1,180	767	987	539
63	1,454	1,619	1,279	831	1,071	584
64	1,559	1,720	1,389	896	1,152	634
65	1,673	1,828	1,511	956	1,224	683
66	1,794	1,940	1,641	1,022	1,300	738
67	1,918	2,052	1,779	1,090	1,379	796
68	2,042	2,161	1,919	1,159	1,456	858
69	2,162	2,263	2,059	1,233	1,539	927
70	2,275	2,356	2,192	1,318	1,634	1,006
71	2,378	2,440	2,315	1,408	1,734	1,090
72	2,469	2,516	2,424	1,493	1,827	1,171
73	2,549	2,582	2,520	1,584	1,925	1,256
74	2,619	2,639	2,606	1,689	2,037	1,352
75	2,681	2,686	2,686	1,806	2,160	1,460
76	2,740	2,721	2,769	1,932	2,286	1,580
77	2,795	2,744	2,857	2,079	2,428	1,731
78	2,845	2,752	2,951	2,260	2,596	1,926
79	2,888	2,745	3,046	2,480	2,794	2,173
80	2,915	2,719	3,130	2,730	3,010	2,459
81	2,921	2,674	3,188	2,993	3,228	2,764
82	2,896	2,606	3,207	3,262	3,444	3,084
83	2,835	2,515	3,178	3,533	3,652	3,423
84	2,737	2,399	3,100	3,797	3,839	3,771
85	2,605	2,258	2,977	4,040	3,987	4,115
86	2,445	2,095	2,818	4,241	4,074	4,432
87	2,263	1,914	2,634	4,374	4,081	4,691
88	2,069	1,721	2,432	4,432	4,016	4,871
89	1,867	1,525	2,221	4,410	3,874	4,969
90	1,664	1,332	2,004	4,295	3,645	4,964
91	1,463	1,146	1,786	4,088	3,356	4,836
92	1,266	970	1,568	3,784	3,017	4,563
93	1,075	804	1,352	3,396	2,625	4,175
94	893	650	1,142	2,953	2,195	3,710
95	723	509	940	2,484	1,763	3,192
96	567	386	753	2,022	1,369	2,656
97	432	281.2	585	1,583	1,024	2,118
98	318	197.5	441	1,184	736	1,611
99	227.6	133.8	322	850	506	1,173
100	81.7	19.6	143.9	393	135.7	625

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Bolivia and Germany demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Bolivia vs Germany: Data-driven Comparison

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size