Life Expectancy in Germany vs Zimbabwe (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 Germany vs Zimbabwe: 82.3 years vs 68.4 at 30, 85.1 vs 78.3 at 65, 89.2 vs 86.4 at 80 — significantly higher than the 81.7 vs 63.3 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	81.7	79.4	84	63.3	60.8	65.6
1	81.9	79.7	84.2	65.4	62.9	67.5
2	82	79.7	84.2	65.7	63.2	67.8
3	82	79.7	84.2	65.9	63.4	68.1
4	82	79.7	84.3	66.1	63.6	68.2
5	82	79.7	84.3	66.2	63.7	68.3
6	82	79.7	84.3	66.2	63.7	68.4
7	82	79.7	84.3	66.3	63.8	68.4
8	82	79.7	84.3	66.4	63.9	68.5
9	82	79.7	84.3	66.4	63.9	68.5
10	82	79.7	84.3	66.5	64	68.6
11	82	79.7	84.3	66.5	64	68.6
12	82	79.7	84.3	66.5	64	68.7
13	82	79.7	84.3	66.6	64.1	68.7
14	82	79.7	84.3	66.6	64.1	68.8
15	82	79.7	84.3	66.7	64.2	68.8
16	82	79.8	84.3	66.7	64.3	68.9
17	82	79.8	84.3	66.8	64.3	68.9
18	82.1	79.8	84.3	66.9	64.4	69
19	82.1	79.8	84.3	67	64.5	69.1
20	82.1	79.8	84.4	67.1	64.6	69.1
21	82.1	79.9	84.4	67.2	64.7	69.2
22	82.1	79.9	84.4	67.3	64.8	69.3
23	82.1	79.9	84.4	67.4	65	69.4
24	82.2	79.9	84.4	67.5	65.1	69.5
25	82.2	79.9	84.4	67.6	65.2	69.7
26	82.2	80	84.4	67.8	65.4	69.8
27	82.2	80	84.4	67.9	65.5	69.9
28	82.2	80	84.4	68.1	65.7	70
29	82.2	80	84.4	68.2	65.8	70.2
30	82.3	80	84.5	68.4	66	70.3
31	82.3	80.1	84.5	68.5	66.2	70.5
32	82.3	80.1	84.5	68.7	66.4	70.6
33	82.3	80.1	84.5	68.9	66.6	70.8
34	82.3	80.2	84.5	69.1	66.8	71
35	82.4	80.2	84.5	69.3	67	71.2
36	82.4	80.2	84.6	69.5	67.2	71.3
37	82.4	80.3	84.6	69.7	67.4	71.5
38	82.5	80.3	84.6	69.9	67.6	71.7
39	82.5	80.3	84.6	70.1	67.9	71.9
40	82.5	80.4	84.6	70.3	68.1	72.1
41	82.6	80.4	84.7	70.6	68.4	72.3
42	82.6	80.5	84.7	70.8	68.6	72.6
43	82.6	80.5	84.7	71	68.9	72.8
44	82.7	80.6	84.8	71.3	69.2	73
45	82.7	80.6	84.8	71.6	69.5	73.2
46	82.8	80.7	84.8	71.8	69.8	73.5
47	82.8	80.8	84.9	72.1	70.1	73.7
48	82.9	80.8	84.9	72.4	70.4	74
49	83	80.9	85	72.6	70.7	74.2
50	83	81	85	72.9	71	74.5
51	83.1	81.1	85.1	73.2	71.4	74.7
52	83.2	81.2	85.2	73.5	71.7	75
53	83.3	81.3	85.2	73.9	72.1	75.3
54	83.4	81.4	85.3	74.2	72.4	75.6
55	83.5	81.6	85.4	74.5	72.8	75.9
56	83.6	81.7	85.5	74.8	73.1	76.2
57	83.7	81.8	85.6	75.2	73.5	76.5
58	83.9	82	85.7	75.5	73.9	76.8
59	84	82.2	85.8	75.9	74.3	77.1
60	84.2	82.4	85.9	76.2	74.7	77.5
61	84.4	82.6	86	76.6	75.1	77.8
62	84.5	82.8	86.2	77	75.6	78.2
63	84.7	83	86.3	77.4	76	78.6
64	84.9	83.3	86.4	77.9	76.5	79
65	85.1	83.5	86.6	78.3	76.9	79.4
66	85.3	83.8	86.7	78.7	77.4	79.8
67	85.5	84	86.9	79.2	77.9	80.2
68	85.8	84.3	87.1	79.7	78.4	80.6
69	86	84.6	87.3	80.2	78.9	81.1
70	86.2	84.9	87.4	80.6	79.5	81.6
71	86.5	85.2	87.6	81.2	80	82
72	86.8	85.5	87.8	81.7	80.6	82.5
73	87	85.8	88.1	82.2	81.1	83
74	87.3	86.1	88.3	82.8	81.7	83.5
75	87.6	86.5	88.5	83.3	82.3	84.1
76	87.9	86.8	88.7	83.9	82.9	84.6
77	88.2	87.2	89	84.5	83.6	85.2
78	88.5	87.6	89.2	85.1	84.2	85.7
79	88.8	87.9	89.5	85.7	84.9	86.3
80	89.2	88.3	89.8	86.4	85.6	86.9
81	89.5	88.8	90.1	87	86.3	87.5
82	89.9	89.2	90.5	87.7	87	88.1
83	90.4	89.7	90.8	88.3	87.7	88.7
84	90.8	90.2	91.2	89	88.4	89.4
85	91.3	90.7	91.7	89.8	89.2	90.1
86	91.8	91.3	92.2	90.5	90	90.8
87	92.4	91.9	92.7	91.2	90.8	91.5
88	92.9	92.5	93.2	92	91.6	92.2
89	93.6	93.2	93.8	92.8	92.4	93
90	94.2	93.8	94.4	93.6	93.2	93.7
91	94.8	94.5	95	94.4	94	94.5
92	95.5	95.2	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	97.8	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, 93.3% in Germany and 65.6% in Zimbabwe are expected to survive till at least 60 years old, 84% and 46.8% will live to 70 years or older, 66% and 23.2% to 80+ years, and 28.2% and 4.89% 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%	99.7%	96.9%	96.5%	97.2%
2	99.7%	99.7%	99.7%	96.4%	96%	96.7%
3	99.7%	99.7%	99.7%	96.1%	95.7%	96.4%
4	99.7%	99.7%	99.7%	95.8%	95.5%	96.2%
5	99.7%	99.6%	99.7%	95.7%	95.4%	96%
6	99.7%	99.6%	99.7%	95.6%	95.2%	95.9%
7	99.7%	99.6%	99.7%	95.5%	95.1%	95.8%
8	99.7%	99.6%	99.7%	95.4%	95%	95.7%
9	99.6%	99.6%	99.7%	95.3%	95%	95.6%
10	99.6%	99.6%	99.7%	95.2%	94.9%	95.6%
11	99.6%	99.6%	99.7%	95.1%	94.8%	95.5%
12	99.6%	99.6%	99.7%	95.1%	94.7%	95.4%
13	99.6%	99.6%	99.7%	95%	94.6%	95.4%
14	99.6%	99.6%	99.6%	94.9%	94.6%	95.3%
15	99.6%	99.6%	99.6%	94.8%	94.5%	95.2%
16	99.6%	99.6%	99.6%	94.7%	94.3%	95.1%
17	99.6%	99.5%	99.6%	94.6%	94.2%	95%
18	99.6%	99.5%	99.6%	94.4%	94%	94.9%
19	99.5%	99.5%	99.6%	94.3%	93.8%	94.7%
20	99.5%	99.4%	99.6%	94.1%	93.6%	94.5%
21	99.5%	99.4%	99.6%	93.9%	93.4%	94.4%
22	99.5%	99.4%	99.5%	93.7%	93.1%	94.2%
23	99.4%	99.3%	99.5%	93.4%	92.9%	94%
24	99.4%	99.3%	99.5%	93.2%	92.6%	93.8%
25	99.4%	99.3%	99.5%	92.9%	92.2%	93.5%
26	99.3%	99.2%	99.5%	92.6%	91.9%	93.3%
27	99.3%	99.2%	99.5%	92.3%	91.6%	93%
28	99.3%	99.1%	99.4%	91.9%	91.2%	92.7%
29	99.2%	99.1%	99.4%	91.6%	90.8%	92.4%
30	99.2%	99%	99.4%	91.2%	90.4%	92%
31	99.2%	99%	99.4%	90.8%	89.9%	91.7%
32	99.1%	98.9%	99.3%	90.4%	89.5%	91.3%
33	99.1%	98.9%	99.3%	90%	89%	90.9%
34	99%	98.8%	99.3%	89.5%	88.4%	90.5%
35	99%	98.8%	99.2%	89%	87.9%	90.1%
36	98.9%	98.7%	99.2%	88.5%	87.3%	89.6%
37	98.9%	98.6%	99.2%	87.9%	86.6%	89.1%
38	98.8%	98.5%	99.1%	87.4%	86%	88.6%
39	98.7%	98.4%	99.1%	86.7%	85.3%	88.1%
40	98.7%	98.3%	99%	86.1%	84.5%	87.5%
41	98.6%	98.2%	98.9%	85.4%	83.7%	87%
42	98.5%	98.1%	98.9%	84.7%	82.9%	86.4%
43	98.4%	98%	98.8%	84%	82.1%	85.7%
44	98.3%	97.8%	98.7%	83.2%	81.2%	85.1%
45	98.1%	97.7%	98.6%	82.5%	80.3%	84.4%
46	98%	97.5%	98.5%	81.6%	79.3%	83.7%
47	97.9%	97.3%	98.4%	80.8%	78.3%	82.9%
48	97.7%	97.1%	98.3%	79.9%	77.2%	82.2%
49	97.5%	96.9%	98.2%	78.9%	76.1%	81.3%
50	97.3%	96.6%	98%	78%	75%	80.5%
51	97.1%	96.3%	97.8%	76.9%	73.8%	79.6%
52	96.8%	96%	97.7%	75.9%	72.5%	78.7%
53	96.5%	95.6%	97.4%	74.8%	71.2%	77.7%
54	96.2%	95.2%	97.2%	73.6%	69.8%	76.7%
55	95.8%	94.7%	96.9%	72.4%	68.5%	75.6%
56	95.4%	94.2%	96.7%	71.2%	67%	74.5%
57	95%	93.6%	96.3%	69.9%	65.5%	73.3%
58	94.5%	93%	96%	68.5%	64%	72.1%
59	93.9%	92.3%	95.6%	67.1%	62.4%	70.9%
60	93.3%	91.5%	95.2%	65.6%	60.7%	69.6%
61	92.7%	90.7%	94.7%	64%	59%	68.1%
62	92%	89.8%	94.2%	62.4%	57.1%	66.7%
63	91.2%	88.8%	93.7%	60.7%	55.3%	65.1%
64	90.4%	87.7%	93.1%	58.9%	53.3%	63.5%
65	89.5%	86.6%	92.5%	57%	51.3%	61.8%
66	88.5%	85.4%	91.8%	55.1%	49.2%	59.9%
67	87.5%	84.1%	91%	53.1%	47.1%	58.1%
68	86.4%	82.7%	90.3%	51.1%	44.9%	56.1%
69	85.3%	81.2%	89.4%	49%	42.7%	54.1%
70	84%	79.7%	88.5%	46.8%	40.5%	52.1%
71	82.7%	78.1%	87.5%	44.6%	38.2%	49.9%
72	81.3%	76.3%	86.4%	42.3%	35.8%	47.7%
73	79.8%	74.5%	85.2%	39.9%	33.4%	45.4%
74	78.2%	72.6%	83.9%	37.6%	31%	43.1%
75	76.5%	70.5%	82.6%	35.2%	28.6%	40.7%
76	74.7%	68.4%	81.1%	32.7%	26.3%	38.3%
77	72.8%	66.1%	79.6%	30.3%	23.9%	35.8%
78	70.7%	63.7%	77.8%	27.9%	21.6%	33.4%
79	68.5%	61.1%	75.9%	25.5%	19.4%	30.9%
80	66%	58.3%	73.7%	23.2%	17.2%	28.5%
81	63.2%	55.3%	71.3%	20.9%	15.1%	26%
82	60.2%	52%	68.5%	18.7%	13.2%	23.6%
83	57%	48.6%	65.4%	16.5%	11.3%	21.2%
84	53.5%	44.9%	62%	14.4%	9.61%	18.8%
85	49.7%	41.1%	58.2%	12.4%	8.05%	16.5%
86	45.6%	37.1%	54.1%	10.6%	6.66%	14.3%
87	41.4%	33%	49.7%	8.93%	5.43%	12.2%
88	37%	29%	45%	7.41%	4.36%	10.3%
89	32.6%	24.9%	40.1%	6.06%	3.44%	8.59%
90	28.2%	21.1%	35.1%	4.89%	2.68%	7.05%
91	23.9%	17.4%	30.2%	3.87%	2.04%	5.66%
92	19.8%	14.1%	25.3%	3.02%	1.53%	4.5%
93	16%	11%	20.8%	2.31%	1.13%	3.5%
94	12.6%	8.42%	16.6%	1.74%	0.81%	2.66%
95	9.64%	6.23%	12.9%	1.28%	0.57%	1.99%
96	7.16%	4.46%	9.71%	0.92%	0.4%	1.45%
97	5.14%	3.09%	7.05%	0.65%	0.27%	1.03%
98	3.56%	2.07%	4.93%	0.45%	0.18%	0.72%
99	2.37%	1.33%	3.32%	0.3%	0.11%	0.49%
100	1.52%	0.83%	2.15%	0.2%	0.07%	0.33%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.27% in the birth year in Germany and 3.14% in Zimbabwe, 0.04% vs 0.43% at age 30, 0.7% vs 2.4% at 60, and 4.14% vs 9.93% 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	0.27%	0.29%	0.25%	3.14%	3.48%	2.78%
1	0.03%	0.03%	0.03%	0.51%	0.49%	0.54%
2	0.01%	0.01%	0.009%	0.33%	0.32%	0.33%
3	0.009%	0.01%	0.008%	0.23%	0.23%	0.22%
4	0.009%	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%	0.11%	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%	0.08%	0.08%	0.07%
11	0.006%	0.006%	0.006%	0.08%	0.08%	0.07%
12	0.007%	0.007%	0.007%	0.08%	0.09%	0.07%
13	0.008%	0.008%	0.008%	0.09%	0.09%	0.08%
14	0.01%	0.01%	0.009%	0.1%	0.11%	0.09%
15	0.01%	0.01%	0.01%	0.11%	0.12%	0.11%
16	0.02%	0.02%	0.01%	0.13%	0.15%	0.12%
17	0.02%	0.03%	0.01%	0.16%	0.18%	0.14%
18	0.02%	0.03%	0.01%	0.18%	0.21%	0.15%
19	0.03%	0.04%	0.02%	0.2%	0.23%	0.17%
20	0.03%	0.04%	0.02%	0.22%	0.25%	0.19%
21	0.03%	0.04%	0.01%	0.24%	0.27%	0.2%
22	0.03%	0.04%	0.01%	0.26%	0.3%	0.22%
23	0.03%	0.04%	0.02%	0.28%	0.32%	0.24%
24	0.03%	0.04%	0.02%	0.3%	0.34%	0.25%
25	0.03%	0.04%	0.02%	0.32%	0.36%	0.27%
26	0.03%	0.04%	0.02%	0.34%	0.38%	0.3%
27	0.03%	0.04%	0.02%	0.36%	0.41%	0.32%
28	0.03%	0.04%	0.02%	0.38%	0.43%	0.34%
29	0.04%	0.05%	0.02%	0.41%	0.46%	0.36%
30	0.04%	0.05%	0.03%	0.43%	0.49%	0.38%
31	0.04%	0.06%	0.03%	0.45%	0.52%	0.4%
32	0.05%	0.06%	0.03%	0.49%	0.56%	0.43%
33	0.05%	0.06%	0.03%	0.52%	0.59%	0.45%
34	0.05%	0.07%	0.04%	0.55%	0.64%	0.48%
35	0.06%	0.07%	0.04%	0.59%	0.68%	0.51%
36	0.06%	0.08%	0.04%	0.62%	0.72%	0.54%
37	0.07%	0.09%	0.05%	0.66%	0.77%	0.57%
38	0.07%	0.09%	0.05%	0.7%	0.82%	0.6%
39	0.08%	0.1%	0.06%	0.74%	0.87%	0.63%
40	0.09%	0.11%	0.06%	0.78%	0.92%	0.67%
41	0.09%	0.12%	0.07%	0.82%	0.97%	0.69%
42	0.1%	0.13%	0.07%	0.86%	1.02%	0.73%
43	0.11%	0.14%	0.08%	0.9%	1.08%	0.76%
44	0.12%	0.16%	0.09%	0.95%	1.14%	0.8%
45	0.14%	0.18%	0.1%	1%	1.21%	0.84%
46	0.15%	0.2%	0.11%	1.05%	1.28%	0.89%
47	0.17%	0.22%	0.13%	1.11%	1.35%	0.94%
48	0.19%	0.24%	0.14%	1.17%	1.43%	0.99%
49	0.22%	0.27%	0.16%	1.24%	1.52%	1.05%
50	0.24%	0.3%	0.18%	1.32%	1.62%	1.12%
51	0.27%	0.34%	0.19%	1.38%	1.7%	1.17%
52	0.3%	0.38%	0.22%	1.46%	1.8%	1.25%
53	0.34%	0.43%	0.24%	1.54%	1.89%	1.31%
54	0.38%	0.49%	0.27%	1.62%	2%	1.38%
55	0.42%	0.54%	0.3%	1.72%	2.11%	1.46%
56	0.47%	0.61%	0.33%	1.82%	2.22%	1.55%
57	0.52%	0.68%	0.36%	1.94%	2.35%	1.64%
58	0.57%	0.75%	0.4%	2.08%	2.51%	1.75%
59	0.63%	0.83%	0.44%	2.22%	2.67%	1.87%
60	0.7%	0.91%	0.48%	2.4%	2.89%	2.02%
61	0.76%	1%	0.53%	2.55%	3.07%	2.15%
62	0.83%	1.1%	0.57%	2.75%	3.3%	2.33%
63	0.91%	1.21%	0.62%	2.95%	3.53%	2.51%
64	0.99%	1.31%	0.68%	3.16%	3.77%	2.72%
65	1.07%	1.41%	0.74%	3.4%	4.03%	2.95%
66	1.15%	1.52%	0.8%	3.61%	4.29%	3.12%
67	1.25%	1.64%	0.87%	3.85%	4.59%	3.33%
68	1.34%	1.76%	0.95%	4.12%	4.93%	3.57%
69	1.45%	1.89%	1.04%	4.41%	5.28%	3.81%
70	1.57%	2.05%	1.14%	4.79%	5.74%	4.14%
71	1.7%	2.22%	1.25%	5.1%	6.12%	4.39%
72	1.84%	2.39%	1.36%	5.54%	6.65%	4.78%
73	1.99%	2.58%	1.47%	5.96%	7.16%	5.13%
74	2.16%	2.81%	1.61%	6.42%	7.71%	5.53%
75	2.36%	3.06%	1.77%	6.91%	8.32%	5.96%
76	2.59%	3.34%	1.95%	7.41%	8.94%	6.39%
77	2.86%	3.67%	2.18%	7.93%	9.61%	6.83%
78	3.2%	4.08%	2.47%	8.57%	10.4%	7.41%
79	3.62%	4.58%	2.86%	9.15%	11.2%	7.89%
80	4.14%	5.17%	3.34%	9.93%	12.1%	8.6%
81	4.73%	5.84%	3.88%	10.6%	12.9%	9.19%
82	5.41%	6.62%	4.5%	11.6%	14%	10.3%
83	6.2%	7.52%	5.23%	12.6%	15.1%	11.2%
84	7.1%	8.54%	6.08%	13.7%	16.2%	12.3%
85	8.14%	9.7%	7.07%	14.7%	17.3%	13.3%
86	9.3%	11%	8.19%	15.9%	18.5%	14.5%
87	10.6%	12.4%	9.44%	17%	19.7%	15.6%
88	12%	13.9%	10.8%	18.2%	21%	16.8%
89	13.5%	15.5%	12.4%	19.4%	22.2%	18%
90	15.3%	17.3%	14.1%	20.9%	23.7%	19.6%
91	17.1%	19.3%	16%	21.9%	24.9%	20.6%
92	19.1%	21.5%	18%	23.5%	26.5%	22.3%
93	21.2%	23.8%	20.1%	24.9%	27.9%	23.8%
94	23.4%	26.1%	22.3%	26.5%	29.5%	25.4%
95	25.8%	28.3%	24.7%	28.1%	31%	27.1%
96	28.2%	30.7%	27.4%	29.6%	32.5%	28.7%
97	30.8%	33.1%	30%	31.1%	33.9%	30.2%
98	33.3%	35.5%	32.7%	32.4%	35.2%	31.7%
99	35.9%	38%	35.3%	34.3%	36.9%	33.6%
100	38.4%	40.4%	38%	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 84.9 in Germany and 68.5 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	272.1	292.4	250.7	3,136	3,483	2,783
1	28.1	30.9	25.2	497	473	521
2	10.5	11.5	9.45	315	310	320
3	9.02	9.63	8.37	216.2	216.8	215.5
4	8.66	9.05	8.24	156.9	160.1	153.6
5	7.93	8.39	7.44	118.8	121.5	116
6	6.95	7.77	6.09	100.5	104.5	96.4
7	6.15	7.21	5.03	89.4	93.9	84.7
8	5.72	6.72	4.66	80.4	84.8	75.8
9	5.65	6.45	4.81	74.6	78.4	70.8
10	5.9	6.44	5.33	72.1	76.1	68.1
11	6.24	6.37	6.1	72.7	77.8	67.4
12	6.86	6.73	7	75.8	81.1	70.4
13	7.88	8.01	7.75	82.5	87.9	77.1
14	9.57	10.4	8.68	93.4	100.1	86.5
15	12.3	14.2	10.3	109	117.7	100.2
16	15.9	19.4	12.3	126.2	138.7	113.6
17	20	25.8	13.9	147.2	165.3	128.9
18	23.5	31.7	14.8	169.5	193.7	145.2
19	25.9	35.6	15.7	187.5	214.4	160.3
20	26.7	37.1	15.8	205.9	235.6	176.2
21	26.3	37	14.9	222	256.1	188.1
22	26.4	37.2	14.9	240.5	276.8	204.7
23	26.9	37.8	15.3	258.3	296.1	221.4
24	27.6	38.7	15.5	275.7	314	238.6
25	28.4	39.7	15.9	294.1	334	256.2
26	29.3	40.4	17.1	313	353	275.5
27	30.7	41.4	18.8	333	374	295
28	32.8	43.4	21.1	352	396	312
29	35.6	46.4	23.7	372	419	333
30	39.3	50.6	26.8	395	446	351
31	42.8	55.3	29.2	413	468	366
32	45.6	59.7	30.4	439	498	390
33	48.6	63.3	32.6	464	528	411
34	52	67.3	35.7	492	562	434
35	56.1	72.7	38.3	524	598	462
36	60.6	78.8	41.2	551	631	485
37	65.9	85	45.5	582	668	508
38	71.6	91.5	50.5	611	704	534
39	78.3	100	55.4	639	738	557
40	85.7	110	60.3	673	780	583
41	93.1	119.6	65.5	698	808	604
42	101.2	129.5	71.9	729	847	629
43	110.3	140.1	79.7	758	884	654
44	122.4	155.5	88.6	789	924	680
45	136.6	174	98.6	826	970	713
46	151.7	192.5	110.2	859	1,012	742
47	168.6	212.6	123.8	896	1,058	777
48	188.4	236.8	139.2	937	1,108	817
49	210.5	264.2	155.7	976	1,156	856
50	233.2	293	172.4	1,026	1,217	902
51	258.5	326	190.2	1,061	1,254	934
52	289.5	367	210.7	1,109	1,307	980
53	325	414	234	1,148	1,349	1,017
54	363	464	259.6	1,193	1,395	1,060
55	404	516	288.7	1,244	1,446	1,104
56	448	572	319	1,297	1,490	1,153
57	494	633	350	1,355	1,542	1,203
58	543	698	382	1,422	1,603	1,262
59	595	764	420	1,489	1,666	1,323
60	651	833	461	1,576	1,757	1,402
61	708	908	500	1,633	1,808	1,466
62	767	987	539	1,717	1,888	1,555
63	831	1,071	584	1,788	1,949	1,637
64	896	1,152	634	1,862	2,010	1,726
65	956	1,224	683	1,941	2,070	1,823
66	1,022	1,300	738	1,987	2,114	1,872
67	1,090	1,379	796	2,044	2,164	1,934
68	1,159	1,456	858	2,105	2,214	2,002
69	1,233	1,539	927	2,159	2,257	2,062
70	1,318	1,634	1,006	2,242	2,322	2,156
71	1,408	1,734	1,090	2,272	2,337	2,192
72	1,493	1,827	1,171	2,345	2,383	2,282
73	1,584	1,925	1,256	2,380	2,394	2,332
74	1,689	2,037	1,352	2,411	2,394	2,385
75	1,806	2,160	1,460	2,430	2,383	2,429
76	1,932	2,286	1,580	2,425	2,347	2,449
77	2,079	2,428	1,731	2,403	2,297	2,449
78	2,260	2,596	1,926	2,392	2,248	2,474
79	2,480	2,794	2,173	2,333	2,161	2,441
80	2,730	3,010	2,459	2,302	2,087	2,449
81	2,993	3,228	2,764	2,209	1,956	2,393
82	3,262	3,444	3,084	2,170	1,848	2,423
83	3,533	3,652	3,423	2,075	1,706	2,376
84	3,797	3,839	3,771	1,972	1,560	2,317
85	4,040	3,987	4,115	1,833	1,396	2,205
86	4,241	4,074	4,432	1,685	1,233	2,076
87	4,374	4,081	4,691	1,517	1,069	1,910
88	4,432	4,016	4,871	1,349	914	1,739
89	4,410	3,874	4,969	1,174	765	1,548
90	4,295	3,645	4,964	1,021	635	1,382
91	4,088	3,356	4,836	847	508	1,167
92	3,784	3,017	4,563	709	406	1,001
93	3,396	2,625	4,175	576	315	830
94	2,953	2,195	3,710	459	239.6	676
95	2,484	1,763	3,192	359	177.9	539
96	2,022	1,369	2,656	271.7	128.5	416
97	1,583	1,024	2,118	200.6	90.4	312
98	1,184	736	1,611	144.5	62.1	228.5
99	850	506	1,173	103.1	42.2	165.5
100	393	135.7	625	24.2	0	51.9

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: Statistical Insights

By topic vs comparisons:

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