Life Expectancy in Germany vs Pakistan (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

Pakistan

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			Pakistan
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	101.7	101.6	101.7
99	101	100.9	101.1	100.7	100.6	100.8
98	100.2	100.1	100.2	99.8	99.7	99.8
97	99.4	99.2	99.4	98.9	98.8	98.9
96	98.6	98.4	98.6	98	97.9	98
95	97.8	97.6	97.9	97.1	97	97.2
94	97	96.8	97.1	96.2	96.1	96.3
93	96.3	96	96.4	95.4	95.2	95.5
92	95.6	95.3	95.7	94.6	94.3	94.7
91	94.9	94.5	95	93.7	93.5	93.9
90	94.2	93.9	94.4	92.9	92.7	93.1
89	93.6	93.2	93.8	92.1	91.9	92.3
88	93	92.5	93.2	91.4	91.1	91.6
87	92.4	91.9	92.7	90.6	90.3	90.8
86	91.9	91.3	92.2	89.9	89.6	90.1
85	91.3	90.8	91.7	89.1	88.9	89.4
84	90.9	90.3	91.3	88.4	88.1	88.7
83	90.4	89.8	90.9	87.7	87.4	88
82	90	89.3	90.5	87.1	86.8	87.3
81	89.6	88.8	90.2	86.4	86.1	86.7
80	89.2	88.4	89.8	85.8	85.4	86.1
79	88.9	88	89.6	85.2	84.8	85.5
78	88.6	87.6	89.3	84.6	84.2	85
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	82.5	83.5
74	87.4	86.3	88.3	82.5	81.9	83
73	87.1	85.9	88.1	82	81.4	82.6
72	86.9	85.6	87.9	81.6	80.9	82.2
71	86.6	85.3	87.7	81.1	80.4	81.8
70	86.3	85	87.5	80.7	80	81.4
69	86.1	84.7	87.3	80.3	79.5	81.1
68	85.9	84.4	87.2	79.9	79.1	80.7
67	85.6	84.2	87	79.6	78.7	80.4
66	85.4	83.9	86.8	79.2	78.3	80.1
65	85.2	83.7	86.7	78.9	77.9	79.8
64	85	83.4	86.5	78.6	77.5	79.6
63	84.8	83.2	86.4	78.3	77.2	79.3
62	84.6	82.9	86.2	78	76.8	79.1
61	84.5	82.7	86.1	77.7	76.5	78.8
60	84.3	82.5	86	77.4	76.2	78.6
59	84.1	82.3	85.9	77.2	75.9	78.4
58	84	82.2	85.8	76.9	75.6	78.2
57	83.9	82	85.7	76.7	75.4	78
56	83.7	81.9	85.6	76.5	75.1	77.9
55	83.6	81.7	85.5	76.3	74.9	77.7
54	83.5	81.6	85.4	76.1	74.6	77.5
53	83.4	81.5	85.3	75.9	74.4	77.4
52	83.3	81.4	85.3	75.7	74.2	77.2
51	83.2	81.3	85.2	75.5	74	77.1
50	83.2	81.2	85.1	75.4	73.8	77
49	83.1	81.1	85.1	75.2	73.7	76.8
48	83	81	85	75.1	73.5	76.7
47	83	80.9	85	75	73.3	76.6
46	82.9	80.9	84.9	74.8	73.2	76.5
45	82.9	80.8	84.9	74.7	73.1	76.4
44	82.8	80.7	84.9	74.6	72.9	76.3
43	82.8	80.7	84.8	74.5	72.8	76.2
42	82.7	80.6	84.8	74.4	72.7	76.1
41	82.7	80.6	84.8	74.3	72.6	76.1
40	82.7	80.6	84.7	74.2	72.5	76
39	82.6	80.5	84.7	74.1	72.4	75.9
38	82.6	80.5	84.7	74	72.3	75.8
37	82.6	80.4	84.7	73.9	72.2	75.8
36	82.5	80.4	84.6	73.9	72.1	75.7
35	82.5	80.4	84.6	73.8	72	75.6
34	82.5	80.3	84.6	73.7	71.9	75.6
33	82.5	80.3	84.6	73.6	71.8	75.5
32	82.4	80.3	84.6	73.6	71.8	75.4
31	82.4	80.3	84.6	73.5	71.7	75.4
30	82.4	80.2	84.5	73.4	71.6	75.3
29	82.4	80.2	84.5	73.3	71.5	75.3
28	82.4	80.2	84.5	73.3	71.4	75.2
27	82.3	80.2	84.5	73.2	71.3	75.2
26	82.3	80.1	84.5	73.1	71.3	75.1
25	82.3	80.1	84.5	73.1	71.2	75.1
24	82.3	80.1	84.5	73	71.1	75
23	82.3	80.1	84.5	72.9	71	75
22	82.3	80.1	84.5	72.9	70.9	74.9
21	82.2	80	84.5	72.8	70.8	74.9
20	82.2	80	84.4	72.7	70.7	74.8
19	82.2	80	84.4	72.7	70.6	74.8
18	82.2	80	84.4	72.6	70.6	74.8
17	82.2	80	84.4	72.5	70.5	74.7
16	82.2	80	84.4	72.5	70.4	74.7
15	82.2	79.9	84.4	72.5	70.4	74.7
14	82.2	79.9	84.4	72.4	70.3	74.6
13	82.2	79.9	84.4	72.4	70.3	74.6
12	82.2	79.9	84.4	72.3	70.3	74.6
11	82.2	79.9	84.4	72.3	70.2	74.5
10	82.1	79.9	84.4	72.3	70.2	74.5
9	82.1	79.9	84.4	72.3	70.1	74.5
8	82.1	79.9	84.4	72.2	70.1	74.5
7	82.1	79.9	84.4	72.2	70	74.5
6	82.1	79.9	84.4	72.1	70	74.4
5	82.1	79.9	84.4	72.1	69.9	74.4
4	82.1	79.9	84.4	72	69.8	74.3
3	82.1	79.9	84.3	71.8	69.6	74.2
2	82.1	79.9	84.3	71.7	69.5	74
1	82.1	79.8	84.3	71.4	69.2	73.7
0	81.9	79.6	84.1	68.1	65.7	70.6

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 73.4 in Pakistan, rising to 85.2 and 78.9 at 65, and to 89.2 and 85.8 at 80 — higher than the 81.9 and 68.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

Pakistan

Male

Female

1x

Age	Survival probability
	Germany			Pakistan
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.08%	0.04%	0.13%
99	2.44%	1.4%	3.4%	0.13%	0.07%	0.22%
98	3.66%	2.17%	5.04%	0.23%	0.12%	0.37%
97	5.28%	3.24%	7.19%	0.38%	0.2%	0.61%
96	7.35%	4.66%	9.89%	0.62%	0.33%	0.96%
95	9.89%	6.48%	13.1%	0.95%	0.54%	1.46%
94	12.9%	8.74%	16.9%	1.43%	0.84%	2.14%
93	16.4%	11.4%	21.1%	2.07%	1.27%	3.03%
92	20.2%	14.5%	25.7%	2.92%	1.86%	4.16%
91	24.3%	18%	30.6%	3.99%	2.65%	5.55%
90	28.7%	21.7%	35.6%	5.31%	3.65%	7.22%
89	33.1%	25.6%	40.5%	6.9%	4.88%	9.2%
88	37.6%	29.7%	45.4%	8.76%	6.34%	11.5%
87	42%	33.8%	50.1%	10.9%	8.05%	14.1%
86	46.2%	37.9%	54.5%	13.3%	9.99%	17%
85	50.3%	41.9%	58.6%	15.9%	12.2%	20.1%
84	54%	45.7%	62.4%	18.8%	14.6%	23.5%
83	57.6%	49.3%	65.8%	21.9%	17.1%	27%
82	60.8%	52.8%	68.9%	25.1%	19.9%	30.7%
81	63.8%	56%	71.6%	28.3%	22.8%	34.3%
80	66.5%	58.9%	74%	31.7%	25.8%	38%
79	68.9%	61.7%	76.2%	35%	28.9%	41.6%
78	71.2%	64.3%	78.1%	38.3%	32%	45.1%
77	73.2%	66.7%	79.8%	41.6%	35.1%	48.5%
76	75.1%	68.9%	81.4%	44.8%	38.2%	51.7%
75	76.9%	71%	82.8%	47.8%	41.3%	54.8%
74	78.5%	73%	84.1%	50.8%	44.3%	57.8%
73	80.1%	74.9%	85.4%	53.6%	47.2%	60.6%
72	81.6%	76.7%	86.5%	56.4%	50%	63.2%
71	83%	78.4%	87.6%	58.9%	52.7%	65.6%
70	84.3%	80%	88.6%	61.4%	55.3%	67.8%
69	85.5%	81.6%	89.5%	63.7%	57.8%	69.9%
68	86.6%	83%	90.4%	65.8%	60.1%	71.8%
67	87.7%	84.3%	91.2%	67.8%	62.4%	73.6%
66	88.7%	85.6%	91.9%	69.7%	64.5%	75.2%
65	89.6%	86.8%	92.6%	71.4%	66.4%	76.7%
64	90.5%	88%	93.2%	73%	68.3%	78.1%
63	91.3%	89%	93.8%	74.6%	70.1%	79.3%
62	92.1%	90%	94.3%	76%	71.7%	80.4%
61	92.8%	90.9%	94.8%	77.3%	73.3%	81.5%
60	93.4%	91.7%	95.2%	78.5%	74.7%	82.5%
59	94%	92.5%	95.7%	79.6%	76%	83.4%
58	94.6%	93.1%	96%	80.6%	77.3%	84.2%
57	95.1%	93.8%	96.4%	81.6%	78.5%	84.9%
56	95.5%	94.3%	96.7%	82.5%	79.5%	85.6%
55	95.9%	94.8%	97%	83.3%	80.5%	86.3%
54	96.3%	95.3%	97.2%	84.1%	81.4%	86.9%
53	96.6%	95.7%	97.5%	84.8%	82.3%	87.4%
52	96.9%	96.1%	97.7%	85.4%	83%	87.9%
51	97.1%	96.4%	97.9%	86%	83.8%	88.4%
50	97.3%	96.7%	98%	86.6%	84.4%	88.9%
49	97.5%	96.9%	98.2%	87.1%	85%	89.3%
48	97.7%	97.2%	98.3%	87.5%	85.6%	89.6%
47	97.9%	97.4%	98.5%	88%	86.1%	90%
46	98%	97.6%	98.6%	88.4%	86.6%	90.3%
45	98.2%	97.7%	98.7%	88.7%	87%	90.6%
44	98.3%	97.9%	98.8%	89.1%	87.4%	90.9%
43	98.4%	98%	98.8%	89.4%	87.8%	91.1%
42	98.5%	98.1%	98.9%	89.7%	88.1%	91.4%
41	98.6%	98.3%	99%	89.9%	88.4%	91.6%
40	98.7%	98.4%	99%	90.2%	88.7%	91.8%
39	98.8%	98.5%	99.1%	90.4%	89%	92%
38	98.8%	98.6%	99.1%	90.6%	89.2%	92.1%
37	98.9%	98.6%	99.2%	90.8%	89.5%	92.3%
36	99%	98.7%	99.2%	91%	89.7%	92.5%
35	99%	98.8%	99.3%	91.2%	89.9%	92.6%
34	99.1%	98.9%	99.3%	91.4%	90.1%	92.7%
33	99.1%	98.9%	99.3%	91.6%	90.3%	92.9%
32	99.2%	99%	99.4%	91.7%	90.5%	93%
31	99.2%	99%	99.4%	91.9%	90.7%	93.1%
30	99.2%	99.1%	99.4%	92%	90.9%	93.2%
29	99.3%	99.1%	99.4%	92.2%	91%	93.4%
28	99.3%	99.2%	99.5%	92.3%	91.2%	93.5%
27	99.3%	99.2%	99.5%	92.4%	91.4%	93.6%
26	99.4%	99.2%	99.5%	92.6%	91.5%	93.7%
25	99.4%	99.3%	99.5%	92.7%	91.7%	93.8%
24	99.4%	99.3%	99.5%	92.8%	91.9%	93.9%
23	99.4%	99.4%	99.5%	93%	92.1%	93.9%
22	99.5%	99.4%	99.5%	93.1%	92.2%	94%
21	99.5%	99.4%	99.6%	93.2%	92.4%	94.1%
20	99.5%	99.5%	99.6%	93.4%	92.6%	94.2%
19	99.5%	99.5%	99.6%	93.5%	92.7%	94.3%
18	99.6%	99.5%	99.6%	93.6%	92.9%	94.3%
17	99.6%	99.6%	99.6%	93.7%	93%	94.4%
16	99.6%	99.6%	99.6%	93.7%	93.1%	94.4%
15	99.6%	99.6%	99.6%	93.8%	93.2%	94.5%
14	99.6%	99.6%	99.7%	93.9%	93.3%	94.5%
13	99.6%	99.6%	99.7%	93.9%	93.3%	94.6%
12	99.6%	99.6%	99.7%	94%	93.4%	94.6%
11	99.6%	99.6%	99.7%	94%	93.5%	94.6%
10	99.7%	99.6%	99.7%	94.1%	93.5%	94.7%
9	99.7%	99.6%	99.7%	94.1%	93.6%	94.7%
8	99.7%	99.6%	99.7%	94.2%	93.6%	94.7%
7	99.7%	99.6%	99.7%	94.2%	93.7%	94.8%
6	99.7%	99.7%	99.7%	94.3%	93.8%	94.8%
5	99.7%	99.7%	99.7%	94.4%	93.9%	94.9%
4	99.7%	99.7%	99.7%	94.5%	94.1%	95%
3	99.7%	99.7%	99.7%	94.7%	94.3%	95.2%
2	99.7%	99.7%	99.7%	95%	94.6%	95.4%
1	99.7%	99.7%	99.8%	95.3%	94.9%	95.8%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 78.5% in Pakistan are expected to live past 60, 84.3% and 61.4% past 70, 66.5% and 31.7% past 80, and only 28.7% and 5.31% 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

Pakistan

Male

Female

1x

Age	Probability of dying
	Germany			Pakistan
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	46%	47.6%	45.4%
99	35.8%	37.9%	35.2%	43.8%	45.7%	43%
98	33.3%	35.4%	32.6%	41.9%	43.7%	41%
97	30.7%	32.9%	30%	39.8%	41.7%	38.9%
96	28.2%	30.5%	27.3%	37.7%	39.8%	36.6%
95	25.7%	28.2%	24.7%	35.5%	37.9%	34.2%
94	23.3%	25.9%	22.2%	33.2%	35.9%	31.7%
93	21.1%	23.6%	20%	31%	33.9%	29.4%
92	19%	21.3%	17.9%	28.9%	31.8%	27.1%
91	17%	19.1%	15.9%	26.9%	29.6%	25.1%
90	15.1%	17.1%	14%	24.9%	27.4%	23.2%
89	13.4%	15.4%	12.3%	23%	25.2%	21.5%
88	11.9%	13.7%	10.7%	21.3%	23.1%	19.9%
87	10.5%	12.2%	9.36%	19.6%	21.2%	18.4%
86	9.19%	10.8%	8.11%	18.1%	19.4%	17%
85	8.04%	9.54%	6.99%	16.6%	17.9%	15.7%
84	7.01%	8.39%	6.01%	15.3%	16.4%	14.3%
83	6.11%	7.38%	5.17%	14%	15.1%	13.1%
82	5.32%	6.49%	4.45%	12.8%	13.9%	11.9%
81	4.65%	5.72%	3.83%	11.6%	12.7%	10.7%
80	4.06%	5.05%	3.29%	10.5%	11.7%	9.64%
79	3.56%	4.47%	2.82%	9.54%	10.7%	8.66%
78	3.13%	3.98%	2.44%	8.64%	9.71%	7.77%
77	2.8%	3.59%	2.14%	7.82%	8.86%	6.98%
76	2.53%	3.26%	1.92%	7.08%	8.08%	6.28%
75	2.31%	2.99%	1.74%	6.43%	7.38%	5.65%
74	2.12%	2.74%	1.59%	5.84%	6.74%	5.09%
73	1.95%	2.53%	1.45%	5.3%	6.16%	4.58%
72	1.8%	2.34%	1.34%	4.82%	5.63%	4.12%
71	1.67%	2.17%	1.23%	4.37%	5.14%	3.7%
70	1.54%	2.01%	1.12%	3.97%	4.7%	3.32%
69	1.42%	1.86%	1.02%	3.6%	4.29%	2.98%
68	1.32%	1.73%	0.94%	3.26%	3.91%	2.67%
67	1.23%	1.61%	0.86%	2.96%	3.57%	2.4%
66	1.14%	1.49%	0.79%	2.68%	3.27%	2.15%
65	1.05%	1.39%	0.73%	2.44%	2.99%	1.93%
64	0.98%	1.29%	0.67%	2.22%	2.74%	1.74%
63	0.9%	1.19%	0.62%	2.02%	2.51%	1.57%
62	0.82%	1.08%	0.57%	1.85%	2.3%	1.42%
61	0.75%	0.98%	0.52%	1.69%	2.11%	1.29%
60	0.69%	0.89%	0.48%	1.54%	1.93%	1.17%
59	0.62%	0.81%	0.44%	1.41%	1.77%	1.07%
58	0.57%	0.74%	0.39%	1.29%	1.62%	0.97%
57	0.51%	0.66%	0.36%	1.18%	1.48%	0.89%
56	0.46%	0.6%	0.33%	1.08%	1.35%	0.82%
55	0.42%	0.54%	0.29%	0.99%	1.23%	0.75%
54	0.37%	0.48%	0.26%	0.9%	1.12%	0.69%
53	0.33%	0.43%	0.24%	0.83%	1.02%	0.63%
52	0.29%	0.38%	0.21%	0.76%	0.93%	0.58%
51	0.26%	0.33%	0.19%	0.69%	0.85%	0.54%
50	0.24%	0.3%	0.17%	0.64%	0.78%	0.5%
49	0.21%	0.27%	0.16%	0.59%	0.71%	0.46%
48	0.19%	0.24%	0.14%	0.54%	0.65%	0.42%
47	0.17%	0.21%	0.12%	0.49%	0.6%	0.39%
46	0.15%	0.19%	0.11%	0.45%	0.54%	0.35%
45	0.14%	0.17%	0.1%	0.41%	0.5%	0.33%
44	0.12%	0.16%	0.09%	0.38%	0.46%	0.3%
43	0.11%	0.14%	0.08%	0.35%	0.42%	0.27%
42	0.1%	0.13%	0.07%	0.32%	0.38%	0.25%
41	0.09%	0.12%	0.07%	0.3%	0.35%	0.24%
40	0.09%	0.11%	0.06%	0.27%	0.33%	0.22%
39	0.08%	0.1%	0.06%	0.26%	0.31%	0.2%
38	0.07%	0.09%	0.05%	0.24%	0.29%	0.19%
37	0.07%	0.08%	0.05%	0.23%	0.27%	0.18%
36	0.06%	0.08%	0.04%	0.21%	0.25%	0.17%
35	0.06%	0.07%	0.04%	0.2%	0.24%	0.16%
34	0.05%	0.07%	0.04%	0.19%	0.23%	0.15%
33	0.05%	0.06%	0.03%	0.18%	0.22%	0.14%
32	0.05%	0.06%	0.03%	0.17%	0.21%	0.14%
31	0.04%	0.05%	0.03%	0.17%	0.2%	0.13%
30	0.04%	0.05%	0.03%	0.16%	0.2%	0.12%
29	0.04%	0.05%	0.02%	0.16%	0.19%	0.12%
28	0.03%	0.04%	0.02%	0.15%	0.19%	0.11%
27	0.03%	0.04%	0.02%	0.15%	0.19%	0.11%
26	0.03%	0.04%	0.02%	0.15%	0.19%	0.11%
25	0.03%	0.04%	0.02%	0.15%	0.19%	0.1%
24	0.03%	0.04%	0.02%	0.15%	0.19%	0.1%
23	0.03%	0.04%	0.02%	0.14%	0.19%	0.1%
22	0.03%	0.04%	0.01%	0.14%	0.19%	0.09%
21	0.03%	0.04%	0.01%	0.14%	0.18%	0.09%
20	0.03%	0.04%	0.02%	0.13%	0.17%	0.08%
19	0.03%	0.03%	0.02%	0.12%	0.16%	0.08%
18	0.02%	0.03%	0.01%	0.11%	0.15%	0.07%
17	0.02%	0.03%	0.01%	0.1%	0.13%	0.06%
16	0.02%	0.02%	0.01%	0.09%	0.11%	0.06%
15	0.01%	0.01%	0.01%	0.08%	0.1%	0.05%
14	0.009%	0.01%	0.009%	0.07%	0.09%	0.05%
13	0.008%	0.008%	0.008%	0.06%	0.08%	0.04%
12	0.007%	0.007%	0.007%	0.05%	0.07%	0.04%
11	0.006%	0.006%	0.006%	0.05%	0.07%	0.04%
10	0.006%	0.006%	0.005%	0.05%	0.07%	0.03%
9	0.006%	0.006%	0.005%	0.05%	0.07%	0.03%
8	0.006%	0.007%	0.005%	0.06%	0.07%	0.04%
7	0.006%	0.007%	0.005%	0.06%	0.09%	0.04%
6	0.007%	0.008%	0.006%	0.08%	0.1%	0.05%
5	0.008%	0.008%	0.007%	0.1%	0.13%	0.07%
4	0.008%	0.009%	0.008%	0.13%	0.16%	0.1%
3	0.009%	0.009%	0.008%	0.19%	0.21%	0.16%
2	0.01%	0.01%	0.009%	0.27%	0.28%	0.26%
1	0.03%	0.03%	0.02%	0.4%	0.37%	0.42%
0	0.26%	0.28%	0.24%	4.65%	5.09%	4.19%

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

The annual chance of dying is 0.26% in the birth year in Germany and 4.65% in Pakistan, 0.04% vs 0.16% at age 30, 0.69% vs 1.54% at 60, and 4.06% vs 10.5% at 80.

Death rate by age in Germany vs Pakistan

Chart Table

Germany

Male

Female

Pakistan

Male

Female

1x

Age	Death rate
	Germany			Pakistan
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	0	0	0
99	874	530	1,197	58.8	30.2	94.6
98	1,217	768	1,642	96.7	51.2	153
97	1,623	1,066	2,155	152.8	83.9	237.3
96	2,070	1,421	2,698	231.9	132.9	352
95	2,537	1,824	3,236	338	203.5	500
94	3,012	2,264	3,756	475	301	680
93	3,456	2,699	4,218	643	431	890
92	3,843	3,091	4,602	843	593	1,128
91	4,141	3,427	4,868	1,071	785	1,390
90	4,341	3,710	4,988	1,322	1,000	1,675
89	4,447	3,930	4,984	1,588	1,230	1,977
88	4,458	4,061	4,878	1,862	1,467	2,288
87	4,390	4,114	4,689	2,135	1,705	2,597
86	4,248	4,095	4,424	2,400	1,941	2,889
85	4,039	3,995	4,101	2,648	2,171	3,152
84	3,788	3,836	3,753	2,868	2,391	3,370
83	3,517	3,640	3,402	3,053	2,593	3,533
82	3,238	3,424	3,062	3,195	2,768	3,635
81	2,964	3,202	2,740	3,290	2,909	3,677
80	2,702	2,979	2,436	3,339	3,013	3,663
79	2,452	2,760	2,150	3,344	3,080	3,603
78	2,230	2,560	1,904	3,312	3,111	3,507
77	2,048	2,391	1,710	3,250	3,113	3,386
76	1,900	2,250	1,561	3,169	3,091	3,248
75	1,777	2,125	1,442	3,074	3,047	3,097
74	1,662	2,004	1,335	2,965	2,985	2,939
73	1,560	1,893	1,240	2,845	2,907	2,773
72	1,471	1,797	1,157	2,714	2,815	2,602
71	1,389	1,705	1,078	2,576	2,711	2,428
70	1,300	1,607	995	2,433	2,597	2,254
69	1,217	1,514	916	2,289	2,477	2,083
68	1,142	1,432	848	2,145	2,353	1,919
67	1,075	1,357	788	2,005	2,229	1,763
66	1,007	1,280	730	1,871	2,106	1,617
65	943	1,205	676	1,743	1,986	1,482
64	884	1,135	627	1,622	1,869	1,358
63	821	1,055	579	1,509	1,756	1,245
62	757	972	534	1,403	1,648	1,142
61	699	895	495	1,304	1,544	1,049
60	642	821	457	1,211	1,443	965
59	587	753	416	1,124	1,345	889
58	535	687	378	1,041	1,251	819
57	487	623	346	964	1,159	756
56	441	563	316	890	1,072	698
55	398	508	285.7	822	989	646
54	358	456	256.9	758	911	598
53	320	407	231.5	700	838	554
52	284.9	360	208.4	646	772	513
51	254.5	320	188	597	711	476
50	229.5	287.6	170.4	551	656	441
49	207	259.3	153.8	509	605	409
48	185.3	232.3	137.5	470	557	378
47	165.7	208.4	122.3	433	513	348
46	149.1	188.7	108.9	398	472	321
45	134.2	170.5	97.3	366	434	294.9
44	120.3	152.3	87.5	337	399	271.4
43	108.4	137.1	78.7	310	367	250.3
42	99.4	126.7	71	286.7	339	231.7
41	91.5	117.1	64.6	265.8	314	215.3
40	84.2	107.7	59.5	247.4	291.4	200.9
39	76.9	97.9	54.6	231.3	272	188.2
38	70.3	89.5	49.8	217.2	255.1	176.8
37	64.7	83.1	44.9	204.7	240.4	166.4
36	59.4	77	40.6	193.6	227.5	156.9
35	55	71.1	37.8	183.5	216.3	148.2
34	51	65.8	35.2	174.5	206.3	140.2
33	47.6	61.9	32.2	166.4	197.5	133
32	44.7	58.3	30	159.3	189.7	126.4
31	42	54	28.8	153	183	120.6
30	38.5	49.5	26.4	147.6	177.5	115.4
29	34.9	45.3	23.4	143.3	173.5	110.9
28	32.1	42.4	20.8	140.1	171.1	106.9
27	30	40.3	18.5	137.9	170.3	103.3
26	28.6	39.3	16.8	136.6	170.9	100
25	27.6	38.6	15.7	135.8	172.4	96.8
24	26.9	37.6	15.2	135	174	93.4
23	26.2	36.7	15	133.5	174.7	89.7
22	25.7	36.2	14.6	130.8	173.4	85.6
21	25.6	36	14.7	126.5	169.1	81
20	26.1	36	15.5	120	161.3	76
19	25.3	34.6	15.4	111.7	150	70.8
18	22.9	30.7	14.5	101.9	136.1	65.5
17	19.5	25.1	13.6	91.4	120.7	60.3
16	15.5	18.8	12.1	81	105.3	55.2
15	12	13.8	10.2	71.4	91.2	50.3
14	9.35	10.1	8.53	63	79.4	45.7
13	7.7	7.78	7.61	56.3	70.4	41.3
12	6.7	6.53	6.87	51.4	64.4	37.6
11	6.08	6.17	5.99	48.3	61.3	34.6
10	5.74	6.23	5.22	47.3	61.1	32.8
9	5.49	6.23	4.71	48.6	63.8	32.6
8	5.54	6.48	4.56	52.7	69.9	34.6
7	5.96	6.94	4.91	60.5	80.3	39.7
6	6.74	7.49	5.95	73.5	96.2	49.5
5	7.69	8.09	7.28	94.2	119.5	67.4
4	8.4	8.73	8.05	126.6	153	98.7
3	8.73	9.26	8.17	177	199.9	152.9
2	10.1	11	9.22	255.7	265	245.8
1	27.4	29.9	24.7	378	354	403
0	263.3	281	244.7	4,650	5,086	4,193

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 Pakistan. The median age of death is 85.1 in Germany and 74.3 in Pakistan, 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 Pakistan more than their death rates.

Life expectancy in other countries

+ -

1x