Life Expectancy in Germany vs Zimbabwe (1950-2026)

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 Germany vs Zimbabwe: 82.4 years vs 68.5 at 30, 85.2 vs 78.3 at 65, 89.2 vs 86.4 at 80 — significantly higher than the 81.9 vs 63.6 years calculated at birth.

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

Table

Current age, years	Total life expectancy, years
	Germany			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	81.9	79.6	84.1	63.6	61	65.9
1	82.1	79.8	84.3	65.6	63.2	67.7
2	82.1	79.9	84.3	66	63.5	68.1
3	82.1	79.9	84.3	66.2	63.6	68.3
4	82.1	79.9	84.4	66.3	63.8	68.4
5	82.1	79.9	84.4	66.4	63.9	68.5
6	82.1	79.9	84.4	66.5	64	68.6
7	82.1	79.9	84.4	66.5	64	68.7
8	82.1	79.9	84.4	66.6	64.1	68.7
9	82.1	79.9	84.4	66.6	64.1	68.8
10	82.1	79.9	84.4	66.7	64.2	68.8
11	82.2	79.9	84.4	66.7	64.2	68.8
12	82.2	79.9	84.4	66.8	64.2	68.9
13	82.2	79.9	84.4	66.8	64.3	68.9
14	82.2	79.9	84.4	66.8	64.3	69
15	82.2	79.9	84.4	66.9	64.4	69
16	82.2	80	84.4	67	64.4	69.1
17	82.2	80	84.4	67	64.5	69.1
18	82.2	80	84.4	67.1	64.6	69.2
19	82.2	80	84.4	67.2	64.7	69.3
20	82.2	80	84.4	67.3	64.8	69.3
21	82.2	80	84.5	67.4	64.9	69.4
22	82.3	80.1	84.5	67.5	65	69.5
23	82.3	80.1	84.5	67.6	65.1	69.6
24	82.3	80.1	84.5	67.7	65.3	69.7
25	82.3	80.1	84.5	67.8	65.4	69.8
26	82.3	80.1	84.5	68	65.5	70
27	82.3	80.2	84.5	68.1	65.7	70.1
28	82.4	80.2	84.5	68.2	65.8	70.2
29	82.4	80.2	84.5	68.4	66	70.4
30	82.4	80.2	84.5	68.5	66.2	70.5
31	82.4	80.3	84.6	68.7	66.3	70.6
32	82.4	80.3	84.6	68.9	66.5	70.8
33	82.5	80.3	84.6	69	66.7	71
34	82.5	80.3	84.6	69.2	66.9	71.1
35	82.5	80.4	84.6	69.4	67.1	71.3
36	82.5	80.4	84.6	69.6	67.3	71.5
37	82.6	80.4	84.7	69.8	67.5	71.7
38	82.6	80.5	84.7	70	67.8	71.9
39	82.6	80.5	84.7	70.2	68	72
40	82.7	80.6	84.7	70.5	68.2	72.2
41	82.7	80.6	84.8	70.7	68.5	72.5
42	82.7	80.6	84.8	70.9	68.7	72.7
43	82.8	80.7	84.8	71.2	69	72.9
44	82.8	80.7	84.9	71.4	69.3	73.1
45	82.9	80.8	84.9	71.7	69.6	73.3
46	82.9	80.9	84.9	71.9	69.9	73.6
47	83	80.9	85	72.2	70.2	73.8
48	83	81	85	72.5	70.5	74
49	83.1	81.1	85.1	72.7	70.8	74.3
50	83.2	81.2	85.1	73	71.1	74.6
51	83.2	81.3	85.2	73.3	71.4	74.8
52	83.3	81.4	85.3	73.6	71.8	75.1
53	83.4	81.5	85.3	73.9	72.1	75.4
54	83.5	81.6	85.4	74.2	72.5	75.7
55	83.6	81.7	85.5	74.6	72.8	76
56	83.7	81.9	85.6	74.9	73.2	76.3
57	83.9	82	85.7	75.2	73.6	76.6
58	84	82.2	85.8	75.6	74	76.9
59	84.1	82.3	85.9	75.9	74.4	77.2
60	84.3	82.5	86	76.3	74.8	77.5
61	84.5	82.7	86.1	76.7	75.2	77.9
62	84.6	82.9	86.2	77.1	75.6	78.2
63	84.8	83.2	86.4	77.5	76.1	78.6
64	85	83.4	86.5	77.9	76.5	79
65	85.2	83.7	86.7	78.3	77	79.4
66	85.4	83.9	86.8	78.8	77.5	79.8
67	85.6	84.2	87	79.2	77.9	80.2
68	85.9	84.4	87.2	79.7	78.4	80.7
69	86.1	84.7	87.3	80.2	79	81.1
70	86.3	85	87.5	80.7	79.5	81.6
71	86.6	85.3	87.7	81.2	80	82.1
72	86.9	85.6	87.9	81.7	80.6	82.5
73	87.1	85.9	88.1	82.2	81.2	83
74	87.4	86.3	88.3	82.8	81.7	83.5
75	87.7	86.6	88.6	83.4	82.3	84.1
76	88	86.9	88.8	83.9	83	84.6
77	88.2	87.3	89	84.5	83.6	85.2
78	88.6	87.6	89.3	85.1	84.2	85.7
79	88.9	88	89.6	85.8	84.9	86.3
80	89.2	88.4	89.8	86.4	85.6	86.9
81	89.6	88.8	90.2	87	86.3	87.5
82	90	89.3	90.5	87.7	87	88.1
83	90.4	89.8	90.9	88.4	87.7	88.7
84	90.9	90.3	91.3	89	88.4	89.4
85	91.3	90.8	91.7	89.8	89.2	90.1
86	91.9	91.3	92.2	90.5	90	90.8
87	92.4	91.9	92.7	91.2	90.8	91.5
88	93	92.5	93.2	92	91.6	92.2
89	93.6	93.2	93.8	92.8	92.4	93
90	94.2	93.9	94.4	93.6	93.2	93.8
91	94.9	94.5	95	94.4	94	94.5
92	95.6	95.3	95.7	95.2	94.9	95.3
93	96.3	96	96.4	96	95.7	96.1
94	97	96.8	97.1	96.9	96.6	97
95	97.8	97.6	97.9	97.7	97.5	97.8
96	98.6	98.4	98.6	98.6	98.4	98.7
97	99.4	99.2	99.4	99.5	99.2	99.5
98	100.2	100.1	100.2	100.4	100.1	100.4
99	101	100.9	101.1	101.2	101	101.3
100	101.9	101.8	101.9	102.2	101.9	102.2

Odds of living to age in Germany vs Zimbabwe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 93.4% in Germany and 66.2% in Zimbabwe are expected to survive till at least 60 years old, 84.3% and 47.3% will live to 70 years or older, 66.5% and 23.5% to 80+ years, and 28.7% and 4.99% 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
	Germany			Zimbabwe
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.8%	96.9%	96.6%	97.3%
2	99.7%	99.7%	99.7%	96.5%	96.1%	96.8%
3	99.7%	99.7%	99.7%	96.2%	95.8%	96.5%
4	99.7%	99.7%	99.7%	95.9%	95.6%	96.3%
5	99.7%	99.7%	99.7%	95.8%	95.5%	96.1%
6	99.7%	99.7%	99.7%	95.7%	95.3%	96%
7	99.7%	99.6%	99.7%	95.6%	95.2%	95.9%
8	99.7%	99.6%	99.7%	95.5%	95.1%	95.8%
9	99.7%	99.6%	99.7%	95.4%	95.1%	95.8%
10	99.7%	99.6%	99.7%	95.3%	95%	95.7%
11	99.6%	99.6%	99.7%	95.3%	94.9%	95.6%
12	99.6%	99.6%	99.7%	95.2%	94.8%	95.6%
13	99.6%	99.6%	99.7%	95.1%	94.8%	95.5%
14	99.6%	99.6%	99.7%	95%	94.7%	95.4%
15	99.6%	99.6%	99.6%	94.9%	94.6%	95.3%
16	99.6%	99.6%	99.6%	94.8%	94.5%	95.2%
17	99.6%	99.6%	99.6%	94.7%	94.3%	95.1%
18	99.6%	99.5%	99.6%	94.6%	94.2%	95%
19	99.5%	99.5%	99.6%	94.4%	94%	94.9%
20	99.5%	99.5%	99.6%	94.2%	93.8%	94.7%
21	99.5%	99.4%	99.6%	94%	93.5%	94.5%
22	99.5%	99.4%	99.5%	93.8%	93.3%	94.4%
23	99.4%	99.4%	99.5%	93.6%	93%	94.2%
24	99.4%	99.3%	99.5%	93.3%	92.7%	93.9%
25	99.4%	99.3%	99.5%	93.1%	92.4%	93.7%
26	99.4%	99.2%	99.5%	92.8%	92.1%	93.5%
27	99.3%	99.2%	99.5%	92.5%	91.7%	93.2%
28	99.3%	99.2%	99.5%	92.1%	91.4%	92.9%
29	99.3%	99.1%	99.4%	91.8%	91%	92.6%
30	99.2%	99.1%	99.4%	91.4%	90.6%	92.3%
31	99.2%	99%	99.4%	91.1%	90.1%	91.9%
32	99.2%	99%	99.4%	90.7%	89.7%	91.6%
33	99.1%	98.9%	99.3%	90.2%	89.2%	91.2%
34	99.1%	98.9%	99.3%	89.8%	88.7%	90.8%
35	99%	98.8%	99.3%	89.3%	88.1%	90.4%
36	99%	98.7%	99.2%	88.8%	87.5%	89.9%
37	98.9%	98.6%	99.2%	88.2%	86.9%	89.5%
38	98.8%	98.6%	99.1%	87.7%	86.3%	89%
39	98.8%	98.5%	99.1%	87.1%	85.6%	88.4%
40	98.7%	98.4%	99%	86.4%	84.9%	87.9%
41	98.6%	98.3%	99%	85.8%	84.1%	87.3%
42	98.5%	98.1%	98.9%	85.1%	83.3%	86.7%
43	98.4%	98%	98.8%	84.4%	82.5%	86.1%
44	98.3%	97.9%	98.8%	83.6%	81.6%	85.5%
45	98.2%	97.7%	98.7%	82.9%	80.7%	84.8%
46	98%	97.6%	98.6%	82%	79.7%	84.1%
47	97.9%	97.4%	98.5%	81.2%	78.7%	83.4%
48	97.7%	97.2%	98.3%	80.3%	77.7%	82.6%
49	97.5%	96.9%	98.2%	79.4%	76.6%	81.8%
50	97.3%	96.7%	98%	78.4%	75.4%	81%
51	97.1%	96.4%	97.9%	77.4%	74.2%	80.1%
52	96.9%	96.1%	97.7%	76.3%	73%	79.1%
53	96.6%	95.7%	97.5%	75.2%	71.7%	78.2%
54	96.3%	95.3%	97.2%	74.1%	70.3%	77.2%
55	95.9%	94.8%	97%	72.9%	69%	76.1%
56	95.5%	94.3%	96.7%	71.7%	67.5%	75%
57	95.1%	93.8%	96.4%	70.4%	66%	73.9%
58	94.6%	93.1%	96%	69.1%	64.5%	72.7%
59	94%	92.5%	95.7%	67.6%	62.9%	71.4%
60	93.4%	91.7%	95.2%	66.2%	61.2%	70.1%
61	92.8%	90.9%	94.8%	64.6%	59.5%	68.7%
62	92.1%	90%	94.3%	63%	57.7%	67.2%
63	91.3%	89%	93.8%	61.2%	55.8%	65.7%
64	90.5%	88%	93.2%	59.5%	53.8%	64%
65	89.6%	86.8%	92.6%	57.6%	51.8%	62.3%
66	88.7%	85.6%	91.9%	55.6%	49.7%	60.5%
67	87.7%	84.3%	91.2%	53.6%	47.6%	58.6%
68	86.6%	83%	90.4%	51.6%	45.4%	56.7%
69	85.5%	81.6%	89.5%	49.5%	43.2%	54.7%
70	84.3%	80%	88.6%	47.3%	40.9%	52.6%
71	83%	78.4%	87.6%	45.1%	38.6%	50.4%
72	81.6%	76.7%	86.5%	42.8%	36.3%	48.2%
73	80.1%	74.9%	85.4%	40.4%	33.9%	45.9%
74	78.5%	73%	84.1%	38%	31.4%	43.6%
75	76.9%	71%	82.8%	35.6%	29%	41.2%
76	75.1%	68.9%	81.4%	33.2%	26.6%	38.7%
77	73.2%	66.7%	79.8%	30.7%	24.3%	36.3%
78	71.2%	64.3%	78.1%	28.3%	21.9%	33.8%
79	68.9%	61.7%	76.2%	25.9%	19.7%	31.3%
80	66.5%	58.9%	74%	23.5%	17.5%	28.8%
81	63.8%	56%	71.6%	21.2%	15.4%	26.4%
82	60.8%	52.8%	68.9%	19%	13.4%	24%
83	57.6%	49.3%	65.8%	16.8%	11.5%	21.5%
84	54%	45.7%	62.4%	14.7%	9.78%	19.1%
85	50.3%	41.9%	58.6%	12.7%	8.2%	16.8%
86	46.2%	37.9%	54.5%	10.8%	6.78%	14.5%
87	42%	33.8%	50.1%	9.1%	5.53%	12.4%
88	37.6%	29.7%	45.4%	7.56%	4.44%	10.5%
89	33.1%	25.6%	40.5%	6.18%	3.51%	8.72%
90	28.7%	21.7%	35.6%	4.99%	2.73%	7.15%
91	24.3%	18%	30.6%	3.95%	2.09%	5.75%
92	20.2%	14.5%	25.7%	3.08%	1.57%	4.57%
93	16.4%	11.4%	21.1%	2.36%	1.15%	3.55%
94	12.9%	8.74%	16.9%	1.77%	0.83%	2.71%
95	9.89%	6.48%	13.1%	1.3%	0.59%	2.02%
96	7.35%	4.66%	9.89%	0.94%	0.4%	1.47%
97	5.28%	3.24%	7.19%	0.66%	0.27%	1.05%
98	3.66%	2.17%	5.04%	0.46%	0.18%	0.73%
99	2.44%	1.4%	3.4%	0.31%	0.12%	0.5%
100	1.57%	0.87%	2.2%	0.2%	0.07%	0.33%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.26% in the birth year in Germany and 3.05% in Zimbabwe, 0.04% vs 0.42% at age 30, 0.69% vs 2.37% at 60, and 4.06% vs 9.89% at 80.

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

Table

Age	Probability of dying
	Germany			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	0.26%	0.28%	0.24%	3.05%	3.4%	2.7%
1	0.03%	0.03%	0.02%	0.5%	0.48%	0.52%
2	0.01%	0.01%	0.009%	0.32%	0.32%	0.32%
3	0.009%	0.009%	0.008%	0.22%	0.22%	0.22%
4	0.008%	0.009%	0.008%	0.16%	0.17%	0.16%
5	0.008%	0.008%	0.007%	0.12%	0.13%	0.12%
6	0.007%	0.008%	0.006%	0.1%	0.11%	0.1%
7	0.006%	0.007%	0.005%	0.09%	0.1%	0.09%
8	0.006%	0.007%	0.005%	0.08%	0.09%	0.08%
9	0.006%	0.006%	0.005%	0.08%	0.08%	0.07%
10	0.006%	0.006%	0.005%	0.07%	0.08%	0.07%
11	0.006%	0.006%	0.006%	0.07%	0.08%	0.07%
12	0.007%	0.007%	0.007%	0.08%	0.08%	0.07%
13	0.008%	0.008%	0.008%	0.08%	0.09%	0.08%
14	0.009%	0.01%	0.009%	0.1%	0.1%	0.09%
15	0.01%	0.01%	0.01%	0.11%	0.12%	0.1%
16	0.02%	0.02%	0.01%	0.13%	0.14%	0.12%
17	0.02%	0.03%	0.01%	0.15%	0.17%	0.13%
18	0.02%	0.03%	0.01%	0.17%	0.2%	0.15%
19	0.03%	0.03%	0.02%	0.19%	0.22%	0.16%
20	0.03%	0.04%	0.02%	0.21%	0.25%	0.18%
21	0.03%	0.04%	0.01%	0.23%	0.27%	0.19%
22	0.03%	0.04%	0.01%	0.25%	0.29%	0.21%
23	0.03%	0.04%	0.02%	0.27%	0.31%	0.23%
24	0.03%	0.04%	0.02%	0.29%	0.33%	0.25%
25	0.03%	0.04%	0.02%	0.31%	0.35%	0.26%
26	0.03%	0.04%	0.02%	0.33%	0.37%	0.29%
27	0.03%	0.04%	0.02%	0.35%	0.4%	0.31%
28	0.03%	0.04%	0.02%	0.37%	0.42%	0.33%
29	0.04%	0.05%	0.02%	0.4%	0.45%	0.35%
30	0.04%	0.05%	0.03%	0.42%	0.48%	0.37%
31	0.04%	0.05%	0.03%	0.44%	0.51%	0.39%
32	0.05%	0.06%	0.03%	0.47%	0.54%	0.41%
33	0.05%	0.06%	0.03%	0.5%	0.58%	0.44%
34	0.05%	0.07%	0.04%	0.54%	0.62%	0.47%
35	0.06%	0.07%	0.04%	0.57%	0.66%	0.5%
36	0.06%	0.08%	0.04%	0.61%	0.71%	0.53%
37	0.07%	0.08%	0.05%	0.64%	0.75%	0.55%
38	0.07%	0.09%	0.05%	0.68%	0.8%	0.59%
39	0.08%	0.1%	0.06%	0.72%	0.85%	0.62%
40	0.09%	0.11%	0.06%	0.76%	0.9%	0.65%
41	0.09%	0.12%	0.07%	0.8%	0.95%	0.68%
42	0.1%	0.13%	0.07%	0.84%	1%	0.71%
43	0.11%	0.14%	0.08%	0.89%	1.06%	0.75%
44	0.12%	0.16%	0.09%	0.93%	1.12%	0.78%
45	0.14%	0.17%	0.1%	0.99%	1.19%	0.83%
46	0.15%	0.19%	0.11%	1.04%	1.25%	0.87%
47	0.17%	0.21%	0.12%	1.09%	1.33%	0.92%
48	0.19%	0.24%	0.14%	1.16%	1.41%	0.98%
49	0.21%	0.27%	0.16%	1.22%	1.5%	1.03%
50	0.24%	0.3%	0.17%	1.3%	1.6%	1.1%
51	0.26%	0.33%	0.19%	1.36%	1.68%	1.15%
52	0.29%	0.38%	0.21%	1.44%	1.78%	1.23%
53	0.33%	0.43%	0.24%	1.52%	1.87%	1.29%
54	0.37%	0.48%	0.26%	1.6%	1.97%	1.36%
55	0.42%	0.54%	0.29%	1.69%	2.09%	1.44%
56	0.46%	0.6%	0.33%	1.79%	2.2%	1.53%
57	0.51%	0.66%	0.36%	1.91%	2.33%	1.62%
58	0.57%	0.74%	0.39%	2.04%	2.48%	1.73%
59	0.62%	0.81%	0.44%	2.19%	2.65%	1.85%
60	0.69%	0.89%	0.48%	2.37%	2.87%	1.99%
61	0.75%	0.98%	0.52%	2.53%	3.04%	2.13%
62	0.82%	1.08%	0.57%	2.73%	3.28%	2.31%
63	0.9%	1.19%	0.62%	2.92%	3.5%	2.49%
64	0.98%	1.29%	0.67%	3.14%	3.74%	2.7%
65	1.05%	1.39%	0.73%	3.38%	4.01%	2.93%
66	1.14%	1.49%	0.79%	3.58%	4.26%	3.1%
67	1.23%	1.61%	0.86%	3.82%	4.56%	3.31%
68	1.32%	1.73%	0.94%	4.09%	4.9%	3.54%
69	1.42%	1.86%	1.02%	4.38%	5.25%	3.78%
70	1.54%	2.01%	1.12%	4.75%	5.7%	4.11%
71	1.67%	2.17%	1.23%	5.06%	6.09%	4.37%
72	1.8%	2.34%	1.34%	5.51%	6.62%	4.76%
73	1.95%	2.53%	1.45%	5.92%	7.12%	5.11%
74	2.12%	2.74%	1.59%	6.38%	7.68%	5.51%
75	2.31%	2.99%	1.74%	6.87%	8.28%	5.94%
76	2.53%	3.26%	1.92%	7.37%	8.9%	6.37%
77	2.8%	3.59%	2.14%	7.89%	9.57%	6.81%
78	3.13%	3.98%	2.44%	8.54%	10.4%	7.38%
79	3.56%	4.47%	2.82%	9.11%	11.1%	7.87%
80	4.06%	5.05%	3.29%	9.89%	12.1%	8.58%
81	4.65%	5.72%	3.83%	10.5%	12.9%	9.17%
82	5.32%	6.49%	4.45%	11.6%	14%	10.2%
83	6.11%	7.38%	5.17%	12.5%	15%	11.2%
84	7.01%	8.39%	6.01%	13.6%	16.2%	12.3%
85	8.04%	9.54%	6.99%	14.7%	17.3%	13.3%
86	9.19%	10.8%	8.11%	15.8%	18.5%	14.5%
87	10.5%	12.2%	9.36%	16.9%	19.7%	15.6%
88	11.9%	13.7%	10.7%	18.2%	20.9%	16.8%
89	13.4%	15.4%	12.3%	19.3%	22.2%	18%
90	15.1%	17.1%	14%	20.9%	23.7%	19.6%
91	17%	19.1%	15.9%	21.9%	24.9%	20.6%
92	19%	21.3%	17.9%	23.5%	26.4%	22.2%
93	21.1%	23.6%	20%	24.9%	27.9%	23.7%
94	23.3%	25.9%	22.2%	26.4%	29.5%	25.4%
95	25.7%	28.2%	24.7%	28.1%	31%	27.1%
96	28.2%	30.5%	27.3%	29.6%	32.5%	28.7%
97	30.7%	32.9%	30%	31.1%	33.9%	30.2%
98	33.3%	35.4%	32.6%	32.4%	35.2%	31.7%
99	35.8%	37.9%	35.2%	34.3%	36.9%	33.6%
100	38.4%	40.3%	37.9%	35.7%	38.2%	35%

Death rate by age in Germany compared to Zimbabwe

In Germany, the most common age of death is 88, compared to 0 in Zimbabwe. The median age of death is 85.1 in Germany and 68.8 in Zimbabwe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Germany			Zimbabwe
	Total	Male	Female	Total	Male	Female
0	263.3	281	244.7	3,053	3,402	2,699
1	27.4	29.9	24.7	484	463	505
2	10.1	11	9.22	308	305	311
3	8.73	9.26	8.17	211.7	213.4	209.9
4	8.4	8.73	8.05	153.9	157.9	149.8
5	7.69	8.09	7.28	116.6	119.9	113.1
6	6.74	7.49	5.95	98.5	103	94
7	5.96	6.94	4.91	87.5	92.4	82.5
8	5.54	6.48	4.56	78.6	83.3	73.8
9	5.49	6.23	4.71	72.9	76.9	68.8
10	5.74	6.23	5.22	70.4	74.5	66.2
11	6.08	6.17	5.99	70.9	76.1	65.5
12	6.7	6.53	6.87	73.9	79.4	68.4
13	7.7	7.78	7.61	80.4	85.9	74.8
14	9.35	10.1	8.53	90.9	97.8	83.9
15	12	13.8	10.2	106.1	114.9	97.1
16	15.5	18.8	12.1	122.8	135.4	110
17	19.5	25.1	13.6	143.2	161.3	124.9
18	22.9	30.7	14.5	164.9	188.9	140.6
19	25.3	34.6	15.4	182.4	209.2	155.3
20	26.1	36	15.5	200.4	229.9	170.6
21	25.6	36	14.7	216.1	249.9	182.2
22	25.7	36.2	14.6	234.1	270.1	198.3
23	26.2	36.7	15	251.5	289	214.4
24	26.9	37.6	15.2	268.5	307	231.1
25	27.6	38.6	15.7	286.4	326	248.2
26	28.6	39.3	16.8	304	344	267.1
27	30	40.3	18.5	324	365	286.2
28	32.1	42.4	20.8	343	387	303
29	34.9	45.3	23.4	363	409	323
30	38.5	49.5	26.4	385	436	341
31	42	54	28.8	403	458	356
32	44.7	58.3	30	428	487	379
33	47.6	61.9	32.2	453	517	400
34	51	65.8	35.2	481	550	423
35	55	71.1	37.8	512	586	450
36	59.4	77	40.6	539	619	473
37	64.7	83.1	44.9	568	655	496
38	70.3	89.5	49.8	599	691	522
39	76.9	97.9	54.6	627	725	545
40	84.2	107.7	59.5	659	766	571
41	91.5	117.1	64.6	685	795	592
42	99.4	126.7	71	717	834	617
43	108.4	137.1	78.7	747	871	642
44	120.3	152.3	87.5	779	911	669
45	134.2	170.5	97.3	816	958	702
46	149.1	188.7	108.9	850	1,000	731
47	165.7	208.4	122.3	888	1,046	766
48	185.3	232.3	137.5	929	1,096	806
49	207	259.3	153.8	969	1,146	846
50	229.5	287.6	170.4	1,018	1,207	892
51	254.5	320	188	1,050	1,245	925
52	284.9	360	208.4	1,100	1,298	971
53	320	407	231.5	1,140	1,342	1,009
54	358	456	256.9	1,184	1,389	1,052
55	398	508	285.7	1,233	1,440	1,097
56	441	563	316	1,284	1,485	1,146
57	487	623	346	1,341	1,537	1,197
58	535	687	378	1,411	1,599	1,257
59	587	753	416	1,481	1,664	1,318
60	642	821	457	1,571	1,756	1,398
61	699	895	495	1,632	1,809	1,463
62	757	972	534	1,718	1,890	1,553
63	821	1,055	579	1,790	1,952	1,636
64	884	1,135	627	1,866	2,014	1,726
65	943	1,205	676	1,945	2,075	1,824
66	1,007	1,280	730	1,993	2,121	1,875
67	1,075	1,357	788	2,050	2,172	1,938
68	1,142	1,432	848	2,111	2,224	2,007
69	1,217	1,514	916	2,166	2,269	2,069
70	1,300	1,607	995	2,250	2,336	2,164
71	1,389	1,705	1,078	2,281	2,352	2,203
72	1,471	1,797	1,157	2,356	2,400	2,294
73	1,560	1,893	1,240	2,393	2,412	2,346
74	1,662	2,004	1,335	2,427	2,414	2,401
75	1,777	2,125	1,442	2,448	2,404	2,446
76	1,900	2,250	1,561	2,444	2,370	2,468
77	2,048	2,391	1,710	2,424	2,321	2,470
78	2,230	2,560	1,904	2,416	2,272	2,497
79	2,452	2,760	2,150	2,358	2,186	2,465
80	2,702	2,979	2,436	2,328	2,113	2,474
81	2,964	3,202	2,740	2,235	1,982	2,419
82	3,238	3,424	3,062	2,197	1,873	2,450
83	3,517	3,640	3,402	2,102	1,730	2,403
84	3,788	3,836	3,753	1,999	1,583	2,345
85	4,039	3,995	4,101	1,858	1,418	2,232
86	4,248	4,095	4,424	1,709	1,253	2,102
87	4,390	4,114	4,689	1,540	1,088	1,934
88	4,458	4,061	4,878	1,372	930	1,762
89	4,447	3,930	4,984	1,196	779	1,570
90	4,341	3,710	4,988	1,040	647	1,401
91	4,141	3,427	4,868	863	518	1,184
92	3,843	3,091	4,602	724	414	1,016
93	3,456	2,699	4,218	588	322	843
94	3,012	2,264	3,756	469	244.7	687
95	2,537	1,824	3,236	366	181.8	548
96	2,070	1,421	2,698	277.6	131.3	423
97	1,623	1,066	2,155	205	92.4	318
98	1,217	768	1,642	147.6	63.5	232.4
99	874	530	1,197	105.4	43.2	168.4
100	411	149.7	645	24.9	0	53

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 Germany and Zimbabwe 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
• Germany vs Zimbabwe: Profiles in Numbers

By topic vs comparisons:

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