Life Expectancy in Germany vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Tanzania
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102.5	101.9	102.6
99	101	100.9	101.1	101.7	101	101.7
98	100.2	100.1	100.2	100.8	100.1	100.9
97	99.4	99.2	99.4	100	99.2	100.1
96	98.6	98.4	98.6	99.1	98.4	99.3
95	97.8	97.6	97.9	98.3	97.5	98.4
94	97	96.8	97.1	97.4	96.6	97.7
93	96.3	96	96.4	96.6	95.8	96.9
92	95.6	95.3	95.7	95.8	94.9	96.1
91	94.9	94.5	95	95.1	94.1	95.4
90	94.2	93.9	94.4	94.3	93.3	94.6
89	93.6	93.2	93.8	93.5	92.5	93.9
88	93	92.5	93.2	92.7	91.7	93.2
87	92.4	91.9	92.7	92	90.9	92.5
86	91.9	91.3	92.2	91.3	90.1	91.9
85	91.3	90.8	91.7	90.6	89.4	91.2
84	90.9	90.3	91.3	89.9	88.7	90.6
83	90.4	89.8	90.9	89.2	88	90
82	90	89.3	90.5	88.6	87.3	89.4
81	89.6	88.8	90.2	87.9	86.6	88.9
80	89.2	88.4	89.8	87.3	86	88.3
79	88.9	88	89.6	86.8	85.3	87.8
78	88.6	87.6	89.3	86.2	84.7	87.3
77	88.2	87.3	89	85.6	84.1	86.8
76	88	86.9	88.8	85.1	83.5	86.3
75	87.7	86.6	88.6	84.5	83	85.8
74	87.4	86.3	88.3	84	82.4	85.3
73	87.1	85.9	88.1	83.5	81.9	84.8
72	86.9	85.6	87.9	83	81.4	84.3
71	86.6	85.3	87.7	82.5	80.9	83.9
70	86.3	85	87.5	82.1	80.4	83.4
69	86.1	84.7	87.3	81.6	79.9	83
68	85.9	84.4	87.2	81.2	79.4	82.6
67	85.6	84.2	87	80.7	79	82.2
66	85.4	83.9	86.8	80.3	78.5	81.8
65	85.2	83.7	86.7	79.9	78.1	81.4
64	85	83.4	86.5	79.5	77.6	81
63	84.8	83.2	86.4	79.1	77.2	80.7
62	84.6	82.9	86.2	78.7	76.8	80.3
61	84.5	82.7	86.1	78.4	76.4	80
60	84.3	82.5	86	78	76.1	79.7
59	84.1	82.3	85.9	77.7	75.7	79.4
58	84	82.2	85.8	77.4	75.4	79.1
57	83.9	82	85.7	77.1	75	78.9
56	83.7	81.9	85.6	76.8	74.7	78.6
55	83.6	81.7	85.5	76.5	74.4	78.3
54	83.5	81.6	85.4	76.2	74.1	78.1
53	83.4	81.5	85.3	75.9	73.8	77.9
52	83.3	81.4	85.3	75.7	73.5	77.6
51	83.2	81.3	85.2	75.4	73.3	77.4
50	83.2	81.2	85.1	75.2	73	77.2
49	83.1	81.1	85.1	75	72.7	77
48	83	81	85	74.7	72.5	76.8
47	83	80.9	85	74.5	72.3	76.6
46	82.9	80.9	84.9	74.3	72	76.5
45	82.9	80.8	84.9	74.1	71.8	76.3
44	82.8	80.7	84.9	73.9	71.6	76.1
43	82.8	80.7	84.8	73.8	71.4	76
42	82.7	80.6	84.8	73.6	71.2	75.8
41	82.7	80.6	84.8	73.4	71	75.6
40	82.7	80.6	84.7	73.2	70.8	75.5
39	82.6	80.5	84.7	73.1	70.7	75.4
38	82.6	80.5	84.7	72.9	70.5	75.2
37	82.6	80.4	84.7	72.8	70.3	75.1
36	82.5	80.4	84.6	72.6	70.2	75
35	82.5	80.4	84.6	72.5	70	74.8
34	82.5	80.3	84.6	72.4	69.9	74.7
33	82.5	80.3	84.6	72.2	69.7	74.6
32	82.4	80.3	84.6	72.1	69.6	74.5
31	82.4	80.3	84.6	72	69.5	74.4
30	82.4	80.2	84.5	71.9	69.3	74.3
29	82.4	80.2	84.5	71.8	69.2	74.2
28	82.4	80.2	84.5	71.7	69.1	74.1
27	82.3	80.2	84.5	71.6	69	74
26	82.3	80.1	84.5	71.4	68.9	73.9
25	82.3	80.1	84.5	71.4	68.7	73.9
24	82.3	80.1	84.5	71.3	68.6	73.8
23	82.3	80.1	84.5	71.2	68.5	73.7
22	82.3	80.1	84.5	71.1	68.4	73.6
21	82.2	80	84.5	71	68.3	73.6
20	82.2	80	84.4	70.9	68.2	73.5
19	82.2	80	84.4	70.8	68.1	73.4
18	82.2	80	84.4	70.8	68.1	73.4
17	82.2	80	84.4	70.7	68	73.3
16	82.2	80	84.4	70.6	67.9	73.3
15	82.2	79.9	84.4	70.6	67.9	73.2
14	82.2	79.9	84.4	70.5	67.8	73.2
13	82.2	79.9	84.4	70.5	67.8	73.2
12	82.2	79.9	84.4	70.5	67.7	73.1
11	82.2	79.9	84.4	70.4	67.7	73.1
10	82.1	79.9	84.4	70.4	67.7	73.1
9	82.1	79.9	84.4	70.4	67.6	73
8	82.1	79.9	84.4	70.3	67.6	73
7	82.1	79.9	84.4	70.3	67.5	72.9
6	82.1	79.9	84.4	70.2	67.5	72.9
5	82.1	79.9	84.4	70.2	67.4	72.8
4	82.1	79.9	84.4	70.1	67.3	72.7
3	82.1	79.9	84.3	69.9	67.2	72.6
2	82.1	79.9	84.3	69.8	67	72.4
1	82.1	79.8	84.3	69.5	66.8	72.2
0	81.9	79.6	84.1	67.6	64.8	70.4

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 71.9 in Tanzania, rising to 85.2 and 79.9 at 65, and to 89.2 and 87.3 at 80 — higher than the 81.9 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	Germany			Tanzania
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.67%	0.12%	1.28%
99	2.44%	1.4%	3.4%	0.94%	0.2%	1.76%
98	3.66%	2.17%	5.04%	1.29%	0.3%	2.36%
97	5.28%	3.24%	7.19%	1.73%	0.46%	3.12%
96	7.35%	4.66%	9.89%	2.29%	0.68%	4.05%
95	9.89%	6.48%	13.1%	2.99%	0.98%	5.16%
94	12.9%	8.74%	16.9%	3.82%	1.38%	6.46%
93	16.4%	11.4%	21.1%	4.81%	1.89%	7.95%
92	20.2%	14.5%	25.7%	5.97%	2.55%	9.63%
91	24.3%	18%	30.6%	7.28%	3.35%	11.5%
90	28.7%	21.7%	35.6%	8.82%	4.35%	13.5%
89	33.1%	25.6%	40.5%	10.5%	5.52%	15.7%
88	37.6%	29.7%	45.4%	12.4%	6.9%	18.1%
87	42%	33.8%	50.1%	14.4%	8.47%	20.5%
86	46.2%	37.9%	54.5%	16.6%	10.2%	23.1%
85	50.3%	41.9%	58.6%	19%	12.2%	25.7%
84	54%	45.7%	62.4%	21.4%	14.3%	28.4%
83	57.6%	49.3%	65.8%	23.9%	16.6%	31%
82	60.8%	52.8%	68.9%	26.5%	19%	33.6%
81	63.8%	56%	71.6%	29%	21.4%	36.1%
80	66.5%	58.9%	74%	31.5%	24%	38.5%
79	68.9%	61.7%	76.2%	34.1%	26.6%	41%
78	71.2%	64.3%	78.1%	36.6%	29.2%	43.4%
77	73.2%	66.7%	79.8%	39.2%	31.8%	45.8%
76	75.1%	68.9%	81.4%	41.7%	34.5%	48.2%
75	76.9%	71%	82.8%	44.2%	37.1%	50.6%
74	78.5%	73%	84.1%	46.6%	39.7%	52.9%
73	80.1%	74.9%	85.4%	49%	42.2%	55.1%
72	81.6%	76.7%	86.5%	51.3%	44.7%	57.3%
71	83%	78.4%	87.6%	53.5%	47.1%	59.4%
70	84.3%	80%	88.6%	55.7%	49.5%	61.4%
69	85.5%	81.6%	89.5%	57.7%	51.8%	63.3%
68	86.6%	83%	90.4%	59.7%	54%	65.2%
67	87.7%	84.3%	91.2%	61.7%	56.2%	67%
66	88.7%	85.6%	91.9%	63.6%	58.3%	68.8%
65	89.6%	86.8%	92.6%	65.4%	60.3%	70.5%
64	90.5%	88%	93.2%	67.2%	62.3%	72%
63	91.3%	89%	93.8%	68.8%	64.2%	73.5%
62	92.1%	90%	94.3%	70.4%	66%	74.9%
61	92.8%	90.9%	94.8%	71.9%	67.6%	76.2%
60	93.4%	91.7%	95.2%	73.3%	69.3%	77.5%
59	94%	92.5%	95.7%	74.7%	70.8%	78.6%
58	94.6%	93.1%	96%	75.9%	72.2%	79.7%
57	95.1%	93.8%	96.4%	77.1%	73.6%	80.7%
56	95.5%	94.3%	96.7%	78.2%	74.9%	81.6%
55	95.9%	94.8%	97%	79.3%	76.1%	82.5%
54	96.3%	95.3%	97.2%	80.3%	77.3%	83.3%
53	96.6%	95.7%	97.5%	81.3%	78.4%	84.2%
52	96.9%	96.1%	97.7%	82.2%	79.4%	84.9%
51	97.1%	96.4%	97.9%	83%	80.4%	85.6%
50	97.3%	96.7%	98%	83.9%	81.4%	86.3%
49	97.5%	96.9%	98.2%	84.6%	82.3%	86.9%
48	97.7%	97.2%	98.3%	85.3%	83.1%	87.5%
47	97.9%	97.4%	98.5%	86%	83.9%	88.1%
46	98%	97.6%	98.6%	86.6%	84.7%	88.6%
45	98.2%	97.7%	98.7%	87.2%	85.4%	89.1%
44	98.3%	97.9%	98.8%	87.8%	86%	89.6%
43	98.4%	98%	98.8%	88.3%	86.7%	90%
42	98.5%	98.1%	98.9%	88.8%	87.2%	90.5%
41	98.6%	98.3%	99%	89.3%	87.8%	90.8%
40	98.7%	98.4%	99%	89.8%	88.3%	91.2%
39	98.8%	98.5%	99.1%	90.2%	88.8%	91.6%
38	98.8%	98.6%	99.1%	90.6%	89.3%	91.9%
37	98.9%	98.6%	99.2%	91%	89.8%	92.2%
36	99%	98.7%	99.2%	91.3%	90.2%	92.5%
35	99%	98.8%	99.3%	91.7%	90.6%	92.8%
34	99.1%	98.9%	99.3%	92%	90.9%	93.1%
33	99.1%	98.9%	99.3%	92.3%	91.3%	93.3%
32	99.2%	99%	99.4%	92.6%	91.6%	93.6%
31	99.2%	99%	99.4%	92.9%	92%	93.8%
30	99.2%	99.1%	99.4%	93.1%	92.3%	94%
29	99.3%	99.1%	99.4%	93.4%	92.5%	94.2%
28	99.3%	99.2%	99.5%	93.6%	92.8%	94.4%
27	99.3%	99.2%	99.5%	93.8%	93.1%	94.6%
26	99.4%	99.2%	99.5%	94%	93.3%	94.8%
25	99.4%	99.3%	99.5%	94.2%	93.6%	94.9%
24	99.4%	99.3%	99.5%	94.4%	93.8%	95.1%
23	99.4%	99.4%	99.5%	94.6%	94%	95.2%
22	99.5%	99.4%	99.5%	94.8%	94.2%	95.4%
21	99.5%	99.4%	99.6%	95%	94.4%	95.5%
20	99.5%	99.5%	99.6%	95.1%	94.6%	95.6%
19	99.5%	99.5%	99.6%	95.3%	94.8%	95.7%
18	99.6%	99.5%	99.6%	95.4%	95%	95.8%
17	99.6%	99.6%	99.6%	95.5%	95.1%	95.9%
16	99.6%	99.6%	99.6%	95.6%	95.2%	96%
15	99.6%	99.6%	99.6%	95.7%	95.3%	96.1%
14	99.6%	99.6%	99.7%	95.8%	95.4%	96.1%
13	99.6%	99.6%	99.7%	95.8%	95.5%	96.2%
12	99.6%	99.6%	99.7%	95.9%	95.5%	96.2%
11	99.6%	99.6%	99.7%	95.9%	95.6%	96.3%
10	99.7%	99.6%	99.7%	96%	95.7%	96.4%
9	99.7%	99.6%	99.7%	96.1%	95.7%	96.4%
8	99.7%	99.6%	99.7%	96.1%	95.8%	96.5%
7	99.7%	99.6%	99.7%	96.2%	95.9%	96.5%
6	99.7%	99.7%	99.7%	96.3%	96%	96.6%
5	99.7%	99.7%	99.7%	96.4%	96.1%	96.7%
4	99.7%	99.7%	99.7%	96.5%	96.2%	96.8%
3	99.7%	99.7%	99.7%	96.7%	96.4%	97%
2	99.7%	99.7%	99.7%	96.9%	96.6%	97.2%
1	99.7%	99.7%	99.8%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 73.3% in Tanzania are expected to live past 60, 84.3% and 55.7% past 70, 66.5% and 31.5% past 80, and only 28.7% and 8.82% 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

Tanzania

Male

Female

1x

Age	Probability of dying
	Germany			Tanzania
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	29.4%	38.6%	28.4%
99	35.8%	37.9%	35.2%	28.3%	37.1%	27.2%
98	33.3%	35.4%	32.6%	26.8%	35.3%	25.5%
97	30.7%	32.9%	30%	25.7%	33.9%	24.3%
96	28.2%	30.5%	27.3%	24.5%	32.3%	23%
95	25.7%	28.2%	24.7%	23.3%	30.7%	21.6%
94	23.3%	25.9%	22.2%	21.8%	28.9%	20.1%
93	21.1%	23.6%	20%	20.6%	27.3%	18.7%
92	19%	21.3%	17.9%	19.4%	25.7%	17.5%
91	17%	19.1%	15.9%	18.1%	24%	16%
90	15.1%	17.1%	14%	17.4%	22.9%	15.3%
89	13.4%	15.4%	12.3%	16.1%	21.3%	13.9%
88	11.9%	13.7%	10.7%	15.2%	20%	13%
87	10.5%	12.2%	9.36%	14.2%	18.6%	12%
86	9.19%	10.8%	8.11%	13.3%	17.3%	11.1%
85	8.04%	9.54%	6.99%	12.3%	16%	10.2%
84	7.01%	8.39%	6.01%	11.4%	14.9%	9.37%
83	6.11%	7.38%	5.17%	10.4%	13.7%	8.46%
82	5.32%	6.49%	4.45%	9.6%	12.6%	7.7%
81	4.65%	5.72%	3.83%	8.6%	11.4%	6.8%
80	4.06%	5.05%	3.29%	8.09%	10.6%	6.4%
79	3.56%	4.47%	2.82%	7.47%	9.73%	5.95%
78	3.13%	3.98%	2.44%	7.01%	9.02%	5.65%
77	2.8%	3.59%	2.14%	6.47%	8.26%	5.24%
76	2.53%	3.26%	1.92%	6.05%	7.65%	4.95%
75	2.31%	2.99%	1.74%	5.63%	7.08%	4.66%
74	2.12%	2.74%	1.59%	5.22%	6.52%	4.35%
73	1.95%	2.53%	1.45%	4.83%	6.02%	4.06%
72	1.8%	2.34%	1.34%	4.5%	5.58%	3.8%
71	1.67%	2.17%	1.23%	4.12%	5.1%	3.49%
70	1.54%	2.01%	1.12%	3.91%	4.8%	3.33%
69	1.42%	1.86%	1.02%	3.59%	4.41%	3.06%
68	1.32%	1.73%	0.94%	3.37%	4.12%	2.88%
67	1.23%	1.61%	0.86%	3.16%	3.84%	2.7%
66	1.14%	1.49%	0.79%	2.97%	3.6%	2.54%
65	1.05%	1.39%	0.73%	2.83%	3.4%	2.41%
64	0.98%	1.29%	0.67%	2.61%	3.15%	2.2%
63	0.9%	1.19%	0.62%	2.42%	2.92%	2.02%
62	0.82%	1.08%	0.57%	2.25%	2.71%	1.86%
61	0.75%	0.98%	0.52%	2.06%	2.49%	1.7%
60	0.69%	0.89%	0.48%	1.94%	2.34%	1.58%
59	0.62%	0.81%	0.44%	1.78%	2.14%	1.44%
58	0.57%	0.74%	0.39%	1.66%	1.99%	1.34%
57	0.51%	0.66%	0.36%	1.54%	1.85%	1.24%
56	0.46%	0.6%	0.33%	1.44%	1.73%	1.16%
55	0.42%	0.54%	0.29%	1.35%	1.62%	1.09%
54	0.37%	0.48%	0.26%	1.26%	1.52%	1.02%
53	0.33%	0.43%	0.24%	1.18%	1.42%	0.95%
52	0.29%	0.38%	0.21%	1.11%	1.34%	0.9%
51	0.26%	0.33%	0.19%	1.03%	1.24%	0.83%
50	0.24%	0.3%	0.17%	0.97%	1.17%	0.79%
49	0.21%	0.27%	0.16%	0.9%	1.08%	0.73%
48	0.19%	0.24%	0.14%	0.84%	1.01%	0.68%
47	0.17%	0.21%	0.12%	0.78%	0.94%	0.63%
46	0.15%	0.19%	0.11%	0.73%	0.88%	0.59%
45	0.14%	0.17%	0.1%	0.69%	0.83%	0.56%
44	0.12%	0.16%	0.09%	0.64%	0.77%	0.52%
43	0.11%	0.14%	0.08%	0.6%	0.72%	0.49%
42	0.1%	0.13%	0.07%	0.57%	0.68%	0.47%
41	0.09%	0.12%	0.07%	0.53%	0.63%	0.44%
40	0.09%	0.11%	0.06%	0.51%	0.6%	0.42%
39	0.08%	0.1%	0.06%	0.47%	0.56%	0.39%
38	0.07%	0.09%	0.05%	0.45%	0.53%	0.37%
37	0.07%	0.08%	0.05%	0.42%	0.5%	0.34%
36	0.06%	0.08%	0.04%	0.39%	0.47%	0.33%
35	0.06%	0.07%	0.04%	0.37%	0.44%	0.31%
34	0.05%	0.07%	0.04%	0.35%	0.41%	0.29%
33	0.05%	0.06%	0.03%	0.33%	0.39%	0.27%
32	0.05%	0.06%	0.03%	0.31%	0.37%	0.25%
31	0.04%	0.05%	0.03%	0.29%	0.34%	0.24%
30	0.04%	0.05%	0.03%	0.28%	0.33%	0.23%
29	0.04%	0.05%	0.02%	0.26%	0.31%	0.21%
28	0.03%	0.04%	0.02%	0.25%	0.3%	0.2%
27	0.03%	0.04%	0.02%	0.24%	0.28%	0.19%
26	0.03%	0.04%	0.02%	0.22%	0.27%	0.18%
25	0.03%	0.04%	0.02%	0.21%	0.26%	0.17%
24	0.03%	0.04%	0.02%	0.2%	0.25%	0.16%
23	0.03%	0.04%	0.02%	0.19%	0.24%	0.15%
22	0.03%	0.04%	0.01%	0.18%	0.23%	0.14%
21	0.03%	0.04%	0.01%	0.17%	0.21%	0.13%
20	0.03%	0.04%	0.02%	0.16%	0.2%	0.13%
19	0.03%	0.03%	0.02%	0.15%	0.18%	0.12%
18	0.02%	0.03%	0.01%	0.14%	0.17%	0.11%
17	0.02%	0.03%	0.01%	0.12%	0.14%	0.1%
16	0.02%	0.02%	0.01%	0.1%	0.12%	0.09%
15	0.01%	0.01%	0.01%	0.09%	0.1%	0.08%
14	0.009%	0.01%	0.009%	0.08%	0.09%	0.07%
13	0.008%	0.008%	0.008%	0.07%	0.08%	0.06%
12	0.007%	0.007%	0.007%	0.06%	0.07%	0.06%
11	0.006%	0.006%	0.006%	0.06%	0.07%	0.05%
10	0.006%	0.006%	0.005%	0.06%	0.07%	0.05%
9	0.006%	0.006%	0.005%	0.06%	0.07%	0.06%
8	0.006%	0.007%	0.005%	0.07%	0.07%	0.06%
7	0.006%	0.007%	0.005%	0.08%	0.08%	0.07%
6	0.007%	0.008%	0.006%	0.08%	0.09%	0.08%
5	0.008%	0.008%	0.007%	0.1%	0.11%	0.09%
4	0.008%	0.009%	0.008%	0.13%	0.14%	0.12%
3	0.009%	0.009%	0.008%	0.18%	0.18%	0.17%
2	0.01%	0.01%	0.009%	0.25%	0.26%	0.25%
1	0.03%	0.03%	0.02%	0.41%	0.41%	0.4%
0	0.26%	0.28%	0.24%	2.69%	2.99%	2.38%

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

The annual chance of dying is 0.26% in the birth year in Germany and 2.69% in Tanzania, 0.04% vs 0.28% at age 30, 0.69% vs 1.94% at 60, and 4.06% vs 8.09% at 80.

Death rate by age in Germany vs Tanzania

Chart Table

Germany

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	Germany			Tanzania
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	140.1	0.71	294.9
99	874	530	1,197	266.5	72.6	478
98	1,217	768	1,642	344	107.1	602
97	1,623	1,066	2,155	444	155.1	756
96	2,070	1,421	2,698	562	218.8	930
95	2,537	1,824	3,236	695	300	1,116
94	3,012	2,264	3,756	834	398	1,297
93	3,456	2,699	4,218	989	516	1,486
92	3,843	3,091	4,602	1,159	656	1,682
91	4,141	3,427	4,868	1,316	805	1,836
90	4,341	3,710	4,988	1,536	994	2,078
89	4,447	3,930	4,984	1,690	1,174	2,190
88	4,458	4,061	4,878	1,881	1,377	2,351
87	4,390	4,114	4,689	2,045	1,575	2,462
86	4,248	4,095	4,424	2,207	1,777	2,566
85	4,039	3,995	4,101	2,336	1,957	2,629
84	3,788	3,836	3,753	2,452	2,143	2,662
83	3,517	3,640	3,402	2,499	2,269	2,625
82	3,238	3,424	3,062	2,540	2,389	2,588
81	2,964	3,202	2,740	2,490	2,434	2,451
80	2,702	2,979	2,436	2,549	2,548	2,467
79	2,452	2,760	2,150	2,545	2,586	2,439
78	2,230	2,560	1,904	2,569	2,636	2,453
77	2,048	2,391	1,710	2,533	2,630	2,402
76	1,900	2,250	1,561	2,519	2,638	2,384
75	1,777	2,125	1,442	2,489	2,625	2,358
74	1,662	2,004	1,335	2,431	2,589	2,297
73	1,560	1,893	1,240	2,367	2,543	2,235
72	1,471	1,797	1,157	2,309	2,496	2,179
71	1,389	1,705	1,078	2,205	2,404	2,072
70	1,300	1,607	995	2,174	2,375	2,046
69	1,217	1,514	916	2,072	2,284	1,936
68	1,142	1,432	848	2,015	2,226	1,877
67	1,075	1,357	788	1,948	2,160	1,806
66	1,007	1,280	730	1,889	2,097	1,743
65	943	1,205	676	1,848	2,051	1,698
64	884	1,135	627	1,753	1,961	1,588
63	821	1,055	579	1,666	1,874	1,488
62	757	972	534	1,583	1,789	1,396
61	699	895	495	1,484	1,686	1,293
60	642	821	457	1,422	1,617	1,227
59	587	753	416	1,327	1,514	1,135
58	535	687	378	1,257	1,436	1,069
57	487	623	346	1,185	1,359	1,002
56	441	563	316	1,126	1,294	949
55	398	508	285.7	1,069	1,234	895
54	358	456	256.9	1,015	1,174	848
53	320	407	231.5	962	1,116	802
52	284.9	360	208.4	914	1,062	763
51	254.5	320	188	856	999	711
50	229.5	287.6	170.4	817	955	680
49	207	259.3	153.8	761	892	633
48	185.3	232.3	137.5	716	840	596
47	165.7	208.4	122.3	671	789	558
46	149.1	188.7	108.9	632	744	525
45	134.2	170.5	97.3	599	705	498
44	120.3	152.3	87.5	563	661	469
43	108.4	137.1	78.7	533	625	445
42	99.4	126.7	71	507	593	423
41	91.5	117.1	64.6	476	557	397
40	84.2	107.7	59.5	455	533	380
39	76.9	97.9	54.6	428	500	357
38	70.3	89.5	49.8	405	473	338
37	64.7	83.1	44.9	382	446	318
36	59.4	77	40.6	361	420	301
35	55	71.1	37.8	341	398	284.4
34	51	65.8	35.2	321	375	266.3
33	47.6	61.9	32.2	303	353	251.3
32	44.7	58.3	30	286.8	335	237.8
31	42	54	28.8	269.7	316	222.6
30	38.5	49.5	26.4	258.9	303	213.8
29	34.9	45.3	23.4	245	287.2	202.1
28	32.1	42.4	20.8	233.1	274.4	191
27	30	40.3	18.5	222.2	262.5	181.1
26	28.6	39.3	16.8	211.5	251.5	171
25	27.6	38.6	15.7	201.9	242.2	161.1
24	26.9	37.6	15.2	192.7	232.5	152.5
23	26.2	36.7	15	183.7	223.1	143.7
22	25.7	36.2	14.6	174.2	212.6	135.4
21	25.6	36	14.7	164	200.4	127
20	26.1	36	15.5	154.3	187.4	120.7
19	25.3	34.6	15.4	142.8	172.9	112.2
18	22.9	30.7	14.5	130.5	157.1	103.4
17	19.5	25.1	13.6	114.1	134.6	93.3
16	15.5	18.8	12.1	98.8	113.8	83.6
15	12	13.8	10.2	85	95.7	74
14	9.35	10.1	8.53	73.3	81.7	64.7
13	7.7	7.78	7.61	65.1	71.8	58.2
12	6.7	6.53	6.87	60	66.3	53.6
11	6.08	6.17	5.99	57.8	63.8	51.6
10	5.74	6.23	5.22	57.7	63	52.2
9	5.49	6.23	4.71	59.9	65.2	54.4
8	5.54	6.48	4.56	64.7	70.4	58.8
7	5.96	6.94	4.91	72.2	78.1	66.1
6	6.74	7.49	5.95	81.7	87.3	76
5	7.69	8.09	7.28	96.7	101.8	91.4
4	8.4	8.73	8.05	125.6	131.7	119.3
3	8.73	9.26	8.17	171.2	177.9	164.3
2	10.1	11	9.22	246.7	252.7	240.5
1	27.4	29.9	24.7	394	394	394
0	263.3	281	244.7	2,690	2,990	2,383

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 0 in Tanzania. The median age of death is 85.1 in Germany and 72.6 in Tanzania, 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 Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x