Life Expectancy in Germany vs Mauritania (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Mauritania

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Mauritania
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	101.8	101.7	101.9
99	101	100.9	101.1	100.9	100.8	101
98	100.2	100.1	100.2	100	99.9	100.1
97	99.4	99.2	99.4	99.1	99	99.2
96	98.6	98.4	98.6	98.2	98.1	98.3
95	97.8	97.6	97.9	97.4	97.2	97.4
94	97	96.8	97.1	96.5	96.3	96.6
93	96.3	96	96.4	95.6	95.5	95.7
92	95.6	95.3	95.7	94.8	94.6	94.9
91	94.9	94.5	95	94	93.8	94.1
90	94.2	93.9	94.4	93.2	92.9	93.3
89	93.6	93.2	93.8	92.3	92.1	92.5
88	93	92.5	93.2	91.6	91.3	91.7
87	92.4	91.9	92.7	90.8	90.5	91
86	91.9	91.3	92.2	90	89.7	90.2
85	91.3	90.8	91.7	89.3	89	89.5
84	90.9	90.3	91.3	88.6	88.2	88.8
83	90.4	89.8	90.9	87.9	87.5	88.1
82	90	89.3	90.5	87.2	86.8	87.5
81	89.6	88.8	90.2	86.5	86.1	86.9
80	89.2	88.4	89.8	85.9	85.5	86.2
79	88.9	88	89.6	85.3	84.8	85.6
78	88.6	87.6	89.3	84.7	84.2	85.1
77	88.2	87.3	89	84.1	83.6	84.5
76	88	86.9	88.8	83.5	83	84
75	87.7	86.6	88.6	83	82.4	83.5
74	87.4	86.3	88.3	82.5	81.8	83
73	87.1	85.9	88.1	82	81.3	82.6
72	86.9	85.6	87.9	81.5	80.7	82.1
71	86.6	85.3	87.7	81	80.2	81.7
70	86.3	85	87.5	80.6	79.8	81.3
69	86.1	84.7	87.3	80.2	79.3	81
68	85.9	84.4	87.2	79.8	78.8	80.6
67	85.6	84.2	87	79.4	78.4	80.3
66	85.4	83.9	86.8	79	78	80
65	85.2	83.7	86.7	78.7	77.6	79.7
64	85	83.4	86.5	78.3	77.2	79.4
63	84.8	83.2	86.4	78	76.8	79.1
62	84.6	82.9	86.2	77.7	76.5	78.9
61	84.5	82.7	86.1	77.4	76.2	78.6
60	84.3	82.5	86	77.1	75.9	78.4
59	84.1	82.3	85.9	76.9	75.6	78.2
58	84	82.2	85.8	76.6	75.3	78
57	83.9	82	85.7	76.4	75	77.8
56	83.7	81.9	85.6	76.2	74.8	77.6
55	83.6	81.7	85.5	76	74.5	77.4
54	83.5	81.6	85.4	75.8	74.3	77.2
53	83.4	81.5	85.3	75.6	74.1	77
52	83.3	81.4	85.3	75.4	73.9	76.9
51	83.2	81.3	85.2	75.2	73.7	76.7
50	83.2	81.2	85.1	75	73.5	76.5
49	83.1	81.1	85.1	74.9	73.3	76.4
48	83	81	85	74.7	73.2	76.3
47	83	80.9	85	74.6	73	76.1
46	82.9	80.9	84.9	74.5	72.9	76
45	82.9	80.8	84.9	74.3	72.7	75.9
44	82.8	80.7	84.9	74.2	72.6	75.8
43	82.8	80.7	84.8	74.1	72.5	75.7
42	82.7	80.6	84.8	74	72.4	75.6
41	82.7	80.6	84.8	73.9	72.3	75.5
40	82.7	80.6	84.7	73.8	72.2	75.4
39	82.6	80.5	84.7	73.7	72.1	75.3
38	82.6	80.5	84.7	73.6	72	75.2
37	82.6	80.4	84.7	73.5	71.9	75.1
36	82.5	80.4	84.6	73.4	71.8	75
35	82.5	80.4	84.6	73.4	71.7	74.9
34	82.5	80.3	84.6	73.3	71.6	74.9
33	82.5	80.3	84.6	73.2	71.6	74.8
32	82.4	80.3	84.6	73.1	71.5	74.7
31	82.4	80.3	84.6	73.1	71.4	74.7
30	82.4	80.2	84.5	73	71.3	74.6
29	82.4	80.2	84.5	72.9	71.3	74.5
28	82.4	80.2	84.5	72.8	71.2	74.5
27	82.3	80.2	84.5	72.8	71.1	74.4
26	82.3	80.1	84.5	72.7	71	74.3
25	82.3	80.1	84.5	72.6	70.9	74.3
24	82.3	80.1	84.5	72.6	70.9	74.2
23	82.3	80.1	84.5	72.5	70.8	74.2
22	82.3	80.1	84.5	72.4	70.7	74.1
21	82.2	80	84.5	72.3	70.6	74.1
20	82.2	80	84.4	72.3	70.5	74
19	82.2	80	84.4	72.2	70.4	73.9
18	82.2	80	84.4	72.1	70.3	73.9
17	82.2	80	84.4	72.1	70.3	73.8
16	82.2	80	84.4	72	70.2	73.8
15	82.2	79.9	84.4	72	70.1	73.7
14	82.2	79.9	84.4	71.9	70.1	73.7
13	82.2	79.9	84.4	71.9	70.1	73.7
12	82.2	79.9	84.4	71.9	70	73.6
11	82.2	79.9	84.4	71.8	70	73.6
10	82.1	79.9	84.4	71.8	70	73.6
9	82.1	79.9	84.4	71.8	69.9	73.6
8	82.1	79.9	84.4	71.7	69.9	73.5
7	82.1	79.9	84.4	71.7	69.8	73.5
6	82.1	79.9	84.4	71.6	69.8	73.4
5	82.1	79.9	84.4	71.6	69.7	73.4
4	82.1	79.9	84.4	71.5	69.6	73.3
3	82.1	79.9	84.3	71.4	69.5	73.2
2	82.1	79.9	84.3	71.3	69.4	73.1
1	82.1	79.8	84.3	71.1	69.2	72.9
0	81.9	79.6	84.1	69.2	67.1	71.2

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 Germany can expect to live to 82.4 years compared to 73 in Mauritania, rising to 85.2 and 78.7 at 65, and to 89.2 and 85.9 at 80 — higher than the 81.9 and 69.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Mauritania

Male

Female

1x

Age	Survival probability
	Germany			Mauritania
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.12%	0.06%	0.2%
99	2.44%	1.4%	3.4%	0.2%	0.11%	0.32%
98	3.66%	2.17%	5.04%	0.32%	0.17%	0.5%
97	5.28%	3.24%	7.19%	0.5%	0.28%	0.77%
96	7.35%	4.66%	9.89%	0.76%	0.44%	1.15%
95	9.89%	6.48%	13.1%	1.12%	0.66%	1.66%
94	12.9%	8.74%	16.9%	1.61%	0.97%	2.34%
93	16.4%	11.4%	21.1%	2.25%	1.4%	3.22%
92	20.2%	14.5%	25.7%	3.07%	1.96%	4.32%
91	24.3%	18%	30.6%	4.1%	2.69%	5.68%
90	28.7%	21.7%	35.6%	5.36%	3.6%	7.31%
89	33.1%	25.6%	40.5%	6.88%	4.74%	9.22%
88	37.6%	29.7%	45.4%	8.66%	6.11%	11.4%
87	42%	33.8%	50.1%	10.7%	7.72%	13.9%
86	46.2%	37.9%	54.5%	13%	9.58%	16.7%
85	50.3%	41.9%	58.6%	15.6%	11.7%	19.7%
84	54%	45.7%	62.4%	18.3%	14%	22.8%
83	57.6%	49.3%	65.8%	21.2%	16.5%	26.2%
82	60.8%	52.8%	68.9%	24.3%	19.2%	29.6%
81	63.8%	56%	71.6%	27.5%	22%	33.1%
80	66.5%	58.9%	74%	30.8%	25%	36.6%
79	68.9%	61.7%	76.2%	34.1%	28.1%	40.2%
78	71.2%	64.3%	78.1%	37.4%	31.2%	43.7%
77	73.2%	66.7%	79.8%	40.7%	34.4%	47.1%
76	75.1%	68.9%	81.4%	44%	37.6%	50.3%
75	76.9%	71%	82.8%	47.2%	40.8%	53.5%
74	78.5%	73%	84.1%	50.3%	43.9%	56.5%
73	80.1%	74.9%	85.4%	53.2%	47%	59.3%
72	81.6%	76.7%	86.5%	56.1%	50%	62%
71	83%	78.4%	87.6%	58.8%	52.9%	64.5%
70	84.3%	80%	88.6%	61.3%	55.6%	66.8%
69	85.5%	81.6%	89.5%	63.7%	58.3%	68.9%
68	86.6%	83%	90.4%	66%	60.8%	70.9%
67	87.7%	84.3%	91.2%	68.1%	63.2%	72.7%
66	88.7%	85.6%	91.9%	70.1%	65.5%	74.4%
65	89.6%	86.8%	92.6%	72%	67.7%	76%
64	90.5%	88%	93.2%	73.7%	69.7%	77.4%
63	91.3%	89%	93.8%	75.3%	71.6%	78.8%
62	92.1%	90%	94.3%	76.8%	73.4%	80%
61	92.8%	90.9%	94.8%	78.2%	75%	81.2%
60	93.4%	91.7%	95.2%	79.5%	76.6%	82.2%
59	94%	92.5%	95.7%	80.7%	78%	83.2%
58	94.6%	93.1%	96%	81.8%	79.3%	84.1%
57	95.1%	93.8%	96.4%	82.8%	80.5%	85%
56	95.5%	94.3%	96.7%	83.8%	81.6%	85.7%
55	95.9%	94.8%	97%	84.6%	82.7%	86.5%
54	96.3%	95.3%	97.2%	85.4%	83.6%	87.2%
53	96.6%	95.7%	97.5%	86.2%	84.5%	87.8%
52	96.9%	96.1%	97.7%	86.9%	85.3%	88.4%
51	97.1%	96.4%	97.9%	87.5%	86%	89%
50	97.3%	96.7%	98%	88.1%	86.7%	89.5%
49	97.5%	96.9%	98.2%	88.7%	87.3%	90%
48	97.7%	97.2%	98.3%	89.2%	87.9%	90.4%
47	97.9%	97.4%	98.5%	89.6%	88.4%	90.8%
46	98%	97.6%	98.6%	90.1%	88.9%	91.2%
45	98.2%	97.7%	98.7%	90.5%	89.3%	91.6%
44	98.3%	97.9%	98.8%	90.8%	89.8%	91.9%
43	98.4%	98%	98.8%	91.2%	90.1%	92.2%
42	98.5%	98.1%	98.9%	91.5%	90.5%	92.5%
41	98.6%	98.3%	99%	91.8%	90.8%	92.8%
40	98.7%	98.4%	99%	92.1%	91.1%	93%
39	98.8%	98.5%	99.1%	92.3%	91.3%	93.3%
38	98.8%	98.6%	99.1%	92.5%	91.6%	93.5%
37	98.9%	98.6%	99.2%	92.8%	91.8%	93.7%
36	99%	98.7%	99.2%	93%	92.1%	93.9%
35	99%	98.8%	99.3%	93.2%	92.3%	94.1%
34	99.1%	98.9%	99.3%	93.4%	92.5%	94.3%
33	99.1%	98.9%	99.3%	93.5%	92.7%	94.4%
32	99.2%	99%	99.4%	93.7%	92.8%	94.6%
31	99.2%	99%	99.4%	93.9%	93%	94.7%
30	99.2%	99.1%	99.4%	94%	93.2%	94.9%
29	99.3%	99.1%	99.4%	94.2%	93.4%	95%
28	99.3%	99.2%	99.5%	94.3%	93.5%	95.1%
27	99.3%	99.2%	99.5%	94.5%	93.7%	95.3%
26	99.4%	99.2%	99.5%	94.6%	93.9%	95.4%
25	99.4%	99.3%	99.5%	94.7%	94%	95.5%
24	99.4%	99.3%	99.5%	94.9%	94.2%	95.6%
23	99.4%	99.4%	99.5%	95%	94.4%	95.7%
22	99.5%	99.4%	99.5%	95.2%	94.5%	95.8%
21	99.5%	99.4%	99.6%	95.3%	94.7%	95.9%
20	99.5%	99.5%	99.6%	95.4%	94.9%	96%
19	99.5%	99.5%	99.6%	95.6%	95%	96.1%
18	99.6%	99.5%	99.6%	95.7%	95.2%	96.2%
17	99.6%	99.6%	99.6%	95.8%	95.3%	96.3%
16	99.6%	99.6%	99.6%	95.9%	95.4%	96.4%
15	99.6%	99.6%	99.6%	96%	95.5%	96.4%
14	99.6%	99.6%	99.7%	96.1%	95.6%	96.5%
13	99.6%	99.6%	99.7%	96.1%	95.7%	96.6%
12	99.6%	99.6%	99.7%	96.2%	95.7%	96.6%
11	99.6%	99.6%	99.7%	96.2%	95.8%	96.7%
10	99.7%	99.6%	99.7%	96.3%	95.8%	96.7%
9	99.7%	99.6%	99.7%	96.3%	95.9%	96.7%
8	99.7%	99.6%	99.7%	96.4%	95.9%	96.8%
7	99.7%	99.6%	99.7%	96.4%	96%	96.9%
6	99.7%	99.7%	99.7%	96.5%	96.1%	96.9%
5	99.7%	99.7%	99.7%	96.6%	96.2%	97%
4	99.7%	99.7%	99.7%	96.7%	96.3%	97.1%
3	99.7%	99.7%	99.7%	96.8%	96.5%	97.2%
2	99.7%	99.7%	99.7%	97%	96.7%	97.4%
1	99.7%	99.7%	99.8%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 79.5% in Mauritania are expected to live past 60, 84.3% and 61.3% past 70, 66.5% and 30.8% past 80, and only 28.7% and 5.36% past 90.

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

Odds of dying at each age

Chart Table

Germany

Male

Female

Mauritania

Male

Female

1x

Age	Probability of dying
	Germany			Mauritania
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	41.2%	42.7%	40.3%
99	35.8%	37.9%	35.2%	39.3%	40.9%	38.4%
98	33.3%	35.4%	32.6%	37.5%	39.2%	36.6%
97	30.7%	32.9%	30%	35.7%	37.5%	34.8%
96	28.2%	30.5%	27.3%	33.9%	35.7%	32.9%
95	25.7%	28.2%	24.7%	32%	33.9%	31%
94	23.3%	25.9%	22.2%	30.2%	32.2%	29.1%
93	21.1%	23.6%	20%	28.4%	30.4%	27.3%
92	19%	21.3%	17.9%	26.7%	28.7%	25.5%
91	17%	19.1%	15.9%	25.1%	27.1%	23.9%
90	15.1%	17.1%	14%	23.6%	25.5%	22.3%
89	13.4%	15.4%	12.3%	22.1%	23.9%	20.8%
88	11.9%	13.7%	10.7%	20.6%	22.4%	19.3%
87	10.5%	12.2%	9.36%	19.1%	20.9%	17.9%
86	9.19%	10.8%	8.11%	17.7%	19.4%	16.5%
85	8.04%	9.54%	6.99%	16.3%	17.9%	15.2%
84	7.01%	8.39%	6.01%	15%	16.5%	13.9%
83	6.11%	7.38%	5.17%	13.8%	15.2%	12.7%
82	5.32%	6.49%	4.45%	12.6%	14%	11.6%
81	4.65%	5.72%	3.83%	11.6%	12.9%	10.6%
80	4.06%	5.05%	3.29%	10.6%	11.9%	9.64%
79	3.56%	4.47%	2.82%	9.73%	11%	8.77%
78	3.13%	3.98%	2.44%	8.91%	10.1%	7.97%
77	2.8%	3.59%	2.14%	8.14%	9.29%	7.22%
76	2.53%	3.26%	1.92%	7.43%	8.53%	6.54%
75	2.31%	2.99%	1.74%	6.76%	7.82%	5.9%
74	2.12%	2.74%	1.59%	6.14%	7.15%	5.31%
73	1.95%	2.53%	1.45%	5.57%	6.53%	4.78%
72	1.8%	2.34%	1.34%	5.05%	5.96%	4.29%
71	1.67%	2.17%	1.23%	4.58%	5.45%	3.85%
70	1.54%	2.01%	1.12%	4.15%	4.98%	3.45%
69	1.42%	1.86%	1.02%	3.77%	4.55%	3.1%
68	1.32%	1.73%	0.94%	3.43%	4.16%	2.79%
67	1.23%	1.61%	0.86%	3.12%	3.81%	2.52%
66	1.14%	1.49%	0.79%	2.84%	3.48%	2.28%
65	1.05%	1.39%	0.73%	2.59%	3.19%	2.06%
64	0.98%	1.29%	0.67%	2.36%	2.91%	1.87%
63	0.9%	1.19%	0.62%	2.15%	2.65%	1.71%
62	0.82%	1.08%	0.57%	1.96%	2.42%	1.55%
61	0.75%	0.98%	0.52%	1.78%	2.2%	1.42%
60	0.69%	0.89%	0.48%	1.62%	2.01%	1.29%
59	0.62%	0.81%	0.44%	1.48%	1.83%	1.18%
58	0.57%	0.74%	0.39%	1.35%	1.66%	1.08%
57	0.51%	0.66%	0.36%	1.23%	1.51%	0.99%
56	0.46%	0.6%	0.33%	1.13%	1.37%	0.92%
55	0.42%	0.54%	0.29%	1.04%	1.25%	0.85%
54	0.37%	0.48%	0.26%	0.95%	1.14%	0.78%
53	0.33%	0.43%	0.24%	0.87%	1.04%	0.73%
52	0.29%	0.38%	0.21%	0.8%	0.94%	0.68%
51	0.26%	0.33%	0.19%	0.73%	0.86%	0.63%
50	0.24%	0.3%	0.17%	0.67%	0.78%	0.58%
49	0.21%	0.27%	0.16%	0.62%	0.71%	0.54%
48	0.19%	0.24%	0.14%	0.57%	0.65%	0.5%
47	0.17%	0.21%	0.12%	0.52%	0.59%	0.46%
46	0.15%	0.19%	0.11%	0.48%	0.54%	0.43%
45	0.14%	0.17%	0.1%	0.44%	0.49%	0.39%
44	0.12%	0.16%	0.09%	0.4%	0.45%	0.36%
43	0.11%	0.14%	0.08%	0.37%	0.41%	0.34%
42	0.1%	0.13%	0.07%	0.34%	0.38%	0.31%
41	0.09%	0.12%	0.07%	0.32%	0.35%	0.29%
40	0.09%	0.11%	0.06%	0.3%	0.32%	0.27%
39	0.08%	0.1%	0.06%	0.28%	0.3%	0.26%
38	0.07%	0.09%	0.05%	0.26%	0.28%	0.24%
37	0.07%	0.08%	0.05%	0.24%	0.26%	0.22%
36	0.06%	0.08%	0.04%	0.23%	0.24%	0.21%
35	0.06%	0.07%	0.04%	0.21%	0.23%	0.2%
34	0.05%	0.07%	0.04%	0.2%	0.22%	0.18%
33	0.05%	0.06%	0.03%	0.19%	0.21%	0.17%
32	0.05%	0.06%	0.03%	0.18%	0.2%	0.16%
31	0.04%	0.05%	0.03%	0.17%	0.19%	0.16%
30	0.04%	0.05%	0.03%	0.17%	0.18%	0.15%
29	0.04%	0.05%	0.02%	0.16%	0.18%	0.14%
28	0.03%	0.04%	0.02%	0.16%	0.18%	0.14%
27	0.03%	0.04%	0.02%	0.15%	0.18%	0.13%
26	0.03%	0.04%	0.02%	0.15%	0.18%	0.12%
25	0.03%	0.04%	0.02%	0.15%	0.18%	0.12%
24	0.03%	0.04%	0.02%	0.15%	0.18%	0.11%
23	0.03%	0.04%	0.02%	0.15%	0.18%	0.11%
22	0.03%	0.04%	0.01%	0.15%	0.18%	0.11%
21	0.03%	0.04%	0.01%	0.15%	0.18%	0.11%
20	0.03%	0.04%	0.02%	0.14%	0.18%	0.11%
19	0.03%	0.03%	0.02%	0.14%	0.17%	0.1%
18	0.02%	0.03%	0.01%	0.13%	0.16%	0.1%
17	0.02%	0.03%	0.01%	0.11%	0.14%	0.09%
16	0.02%	0.02%	0.01%	0.1%	0.12%	0.08%
15	0.01%	0.01%	0.01%	0.08%	0.1%	0.07%
14	0.009%	0.01%	0.009%	0.07%	0.08%	0.06%
13	0.008%	0.008%	0.008%	0.06%	0.07%	0.05%
12	0.007%	0.007%	0.007%	0.05%	0.06%	0.05%
11	0.006%	0.006%	0.006%	0.05%	0.05%	0.05%
10	0.006%	0.006%	0.005%	0.05%	0.05%	0.05%
9	0.006%	0.006%	0.005%	0.05%	0.06%	0.05%
8	0.006%	0.007%	0.005%	0.06%	0.06%	0.05%
7	0.006%	0.007%	0.005%	0.06%	0.07%	0.06%
6	0.007%	0.008%	0.006%	0.08%	0.08%	0.07%
5	0.008%	0.008%	0.007%	0.09%	0.1%	0.08%
4	0.008%	0.009%	0.008%	0.11%	0.13%	0.1%
3	0.009%	0.009%	0.008%	0.14%	0.16%	0.13%
2	0.01%	0.01%	0.009%	0.18%	0.2%	0.17%
1	0.03%	0.03%	0.02%	0.24%	0.26%	0.21%
0	0.26%	0.28%	0.24%	2.75%	3.1%	2.4%

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

The annual chance of dying is 0.26% in the birth year in Germany and 2.75% in Mauritania, 0.04% vs 0.17% at age 30, 0.69% vs 1.62% at 60, and 4.06% vs 10.6% at 80.

Death rate by age in Germany vs Mauritania

Chart Table

Germany

Male

Female

Mauritania

Male

Female

1x

Age	Death rate
	Germany			Mauritania
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	0	0	0
99	874	530	1,197	79.7	43.5	122.2
98	1,217	768	1,642	121.8	68.6	183.7
97	1,623	1,066	2,155	180.3	105	267.3
96	2,070	1,421	2,698	258.6	155.7	377
95	2,537	1,824	3,236	360	223.8	514
94	3,012	2,264	3,756	486	313	681
93	3,456	2,699	4,218	639	425	878
92	3,843	3,091	4,602	820	562	1,104
91	4,141	3,427	4,868	1,029	727	1,355
90	4,341	3,710	4,988	1,263	919	1,628
89	4,447	3,930	4,984	1,517	1,135	1,916
88	4,458	4,061	4,878	1,783	1,370	2,207
87	4,390	4,114	4,689	2,051	1,615	2,491
86	4,248	4,095	4,424	2,308	1,860	2,754
85	4,039	3,995	4,101	2,544	2,094	2,986
84	3,788	3,836	3,753	2,752	2,312	3,179
83	3,517	3,640	3,402	2,928	2,508	3,330
82	3,238	3,424	3,062	3,072	2,682	3,439
81	2,964	3,202	2,740	3,184	2,835	3,506
80	2,702	2,979	2,436	3,265	2,966	3,534
79	2,452	2,760	2,150	3,315	3,072	3,524
78	2,230	2,560	1,904	3,332	3,149	3,478
77	2,048	2,391	1,710	3,317	3,196	3,399
76	1,900	2,250	1,561	3,269	3,208	3,290
75	1,777	2,125	1,442	3,191	3,188	3,156
74	1,662	2,004	1,335	3,089	3,140	3,001
73	1,560	1,893	1,240	2,968	3,069	2,833
72	1,471	1,797	1,157	2,833	2,981	2,657
71	1,389	1,705	1,078	2,692	2,880	2,479
70	1,300	1,607	995	2,547	2,770	2,304
69	1,217	1,514	916	2,402	2,654	2,136
68	1,142	1,432	848	2,260	2,533	1,977
67	1,075	1,357	788	2,122	2,409	1,830
66	1,007	1,280	730	1,989	2,283	1,693
65	943	1,205	676	1,861	2,155	1,568
64	884	1,135	627	1,736	2,027	1,452
63	821	1,055	579	1,617	1,901	1,344
62	757	972	534	1,503	1,776	1,243
61	699	895	495	1,394	1,654	1,149
60	642	821	457	1,291	1,536	1,062
59	587	753	416	1,194	1,423	982
58	535	687	378	1,105	1,316	909
57	487	623	346	1,022	1,216	844
56	441	563	316	946	1,122	785
55	398	508	285.7	876	1,034	732
54	358	456	256.9	811	952	684
53	320	407	231.5	751	876	639
52	284.9	360	208.4	695	805	597
51	254.5	320	188	642	740	557
50	229.5	287.6	170.4	594	679	520
49	207	259.3	153.8	548	622	484
48	185.3	232.3	137.5	505	569	450
47	165.7	208.4	122.3	466	521	418
46	149.1	188.7	108.9	429	477	388
45	134.2	170.5	97.3	396	437	360
44	120.3	152.3	87.5	366	401	335
43	108.4	137.1	78.7	338	368	312
42	99.4	126.7	71	314	340	291.1
41	91.5	117.1	64.6	292.2	315	272.3
40	84.2	107.7	59.5	272.5	292.1	255.1
39	76.9	97.9	54.6	254.8	272.2	239.1
38	70.3	89.5	49.8	238.5	254.4	224.2
37	64.7	83.1	44.9	223.5	238.4	210.1
36	59.4	77	40.6	209.8	224.1	196.8
35	55	71.1	37.8	197.3	211.4	184.5
34	51	65.8	35.2	186.2	200.3	173.3
33	47.6	61.9	32.2	176.5	190.7	163.4
32	44.7	58.3	30	168.2	182.7	154.8
31	42	54	28.8	161.2	176.2	147.3
30	38.5	49.5	26.4	155.4	171.2	140.7
29	34.9	45.3	23.4	150.7	167.7	134.7
28	32.1	42.4	20.8	146.8	165.6	129
27	30	40.3	18.5	143.7	164.9	123.5
26	28.6	39.3	16.8	141.3	165.4	118.3
25	27.6	38.6	15.7	139.8	167	113.7
24	26.9	37.6	15.2	139.2	169.5	109.9
23	26.2	36.7	15	139.3	172.3	107.1
22	25.7	36.2	14.6	139.7	174.6	105.3
21	25.6	36	14.7	139.6	175.1	104.1
20	26.1	36	15.5	137.4	172.1	102.6
19	25.3	34.6	15.4	132	163.8	99.7
18	22.9	30.7	14.5	122.6	150	94.7
17	19.5	25.1	13.6	109.6	131.5	87.1
16	15.5	18.8	12.1	94.8	111.3	77.9
15	12	13.8	10.2	80.3	92	68.2
14	9.35	10.1	8.53	67.9	76	59.4
13	7.7	7.78	7.61	58.4	64.2	52.4
12	6.7	6.53	6.87	52	56.4	47.5
11	6.08	6.17	5.99	48.7	52.3	44.9
10	5.74	6.23	5.22	48	51.4	44.4
9	5.49	6.23	4.71	49.9	53.5	46.1
8	5.54	6.48	4.56	54.5	58.7	50.2
7	5.96	6.94	4.91	62.2	67.2	57
6	6.74	7.49	5.95	73.5	79.7	67.1
5	7.69	8.09	7.28	89.4	97.2	81.4
4	8.4	8.73	8.05	111.2	120.9	101.1
3	8.73	9.26	8.17	140.3	152.5	127.7
2	10.1	11	9.22	178.7	193.9	163
1	27.4	29.9	24.7	228.6	247.6	209
0	263.3	281	244.7	2,753	3,099	2,399

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 Germany, the most common age of death is 88, compared to 78 in Mauritania. The median age of death is 85.1 in Germany and 74.1 in Mauritania, 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 Germany and Mauritania more than their death rates.

Life expectancy in other countries

+ -

1x