Life Expectancy in Portugal vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Portugal

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Portugal			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	102.2	102.1	102.3	102.2	101.9	102.2
99	101.4	101.2	101.4	101.2	101	101.3
98	100.6	100.4	100.6	100.4	100.1	100.4
97	99.7	99.5	99.8	99.5	99.2	99.5
96	99	98.7	99	98.6	98.4	98.7
95	98.2	97.9	98.3	97.7	97.5	97.8
94	97.4	97.1	97.6	96.9	96.6	97
93	96.7	96.4	96.9	96	95.7	96.1
92	96	95.6	96.2	95.2	94.9	95.3
91	95.3	94.9	95.5	94.4	94	94.5
90	94.7	94.2	94.9	93.6	93.2	93.8
89	94.1	93.6	94.3	92.8	92.4	93
88	93.5	92.9	93.8	92	91.6	92.2
87	92.9	92.3	93.2	91.2	90.8	91.5
86	92.4	91.7	92.7	90.5	90	90.8
85	91.9	91.2	92.3	89.8	89.2	90.1
84	91.4	90.7	91.8	89	88.4	89.4
83	90.9	90.2	91.4	88.4	87.7	88.7
82	90.5	89.7	91.1	87.7	87	88.1
81	90.1	89.2	90.7	87	86.3	87.5
80	89.7	88.8	90.4	86.4	85.6	86.9
79	89.4	88.4	90.1	85.8	84.9	86.3
78	89.1	88	89.8	85.1	84.2	85.7
77	88.8	87.7	89.6	84.5	83.6	85.2
76	88.5	87.3	89.4	83.9	83	84.6
75	88.2	87	89.2	83.4	82.3	84.1
74	88	86.7	89	82.8	81.7	83.5
73	87.7	86.4	88.8	82.2	81.2	83
72	87.5	86.1	88.6	81.7	80.6	82.5
71	87.3	85.9	88.5	81.2	80	82.1
70	87.1	85.6	88.3	80.7	79.5	81.6
69	86.9	85.3	88.2	80.2	79	81.1
68	86.7	85.1	88.1	79.7	78.4	80.7
67	86.5	84.9	87.9	79.2	77.9	80.2
66	86.4	84.6	87.8	78.8	77.5	79.8
65	86.2	84.4	87.7	78.3	77	79.4
64	86	84.2	87.6	77.9	76.5	79
63	85.9	84	87.5	77.5	76.1	78.6
62	85.7	83.8	87.4	77.1	75.6	78.2
61	85.6	83.5	87.3	76.7	75.2	77.9
60	85.4	83.3	87.2	76.3	74.8	77.5
59	85.3	83.1	87.1	75.9	74.4	77.2
58	85.1	83	87	75.6	74	76.9
57	85	82.8	87	75.2	73.6	76.6
56	84.9	82.6	86.9	74.9	73.2	76.3
55	84.8	82.5	86.8	74.6	72.8	76
54	84.6	82.3	86.7	74.2	72.5	75.7
53	84.5	82.2	86.7	73.9	72.1	75.4
52	84.4	82	86.6	73.6	71.8	75.1
51	84.3	81.9	86.5	73.3	71.4	74.8
50	84.2	81.8	86.5	73	71.1	74.6
49	84.2	81.7	86.4	72.7	70.8	74.3
48	84.1	81.6	86.4	72.5	70.5	74
47	84	81.5	86.3	72.2	70.2	73.8
46	83.9	81.4	86.3	71.9	69.9	73.6
45	83.9	81.3	86.2	71.7	69.6	73.3
44	83.8	81.2	86.2	71.4	69.3	73.1
43	83.8	81.2	86.2	71.2	69	72.9
42	83.7	81.1	86.1	70.9	68.7	72.7
41	83.7	81.1	86.1	70.7	68.5	72.5
40	83.6	81	86.1	70.5	68.2	72.2
39	83.6	81	86	70.2	68	72
38	83.6	80.9	86	70	67.8	71.9
37	83.5	80.9	86	69.8	67.5	71.7
36	83.5	80.9	86	69.6	67.3	71.5
35	83.5	80.8	86	69.4	67.1	71.3
34	83.5	80.8	86	69.2	66.9	71.1
33	83.4	80.8	85.9	69	66.7	71
32	83.4	80.7	85.9	68.9	66.5	70.8
31	83.4	80.7	85.9	68.7	66.3	70.6
30	83.4	80.7	85.9	68.5	66.2	70.5
29	83.4	80.7	85.9	68.4	66	70.4
28	83.3	80.6	85.9	68.2	65.8	70.2
27	83.3	80.6	85.9	68.1	65.7	70.1
26	83.3	80.6	85.9	68	65.5	70
25	83.3	80.6	85.8	67.8	65.4	69.8
24	83.3	80.5	85.8	67.7	65.3	69.7
23	83.3	80.5	85.8	67.6	65.1	69.6
22	83.2	80.5	85.8	67.5	65	69.5
21	83.2	80.5	85.8	67.4	64.9	69.4
20	83.2	80.5	85.8	67.3	64.8	69.3
19	83.2	80.4	85.8	67.2	64.7	69.3
18	83.2	80.4	85.8	67.1	64.6	69.2
17	83.2	80.4	85.8	67	64.5	69.1
16	83.2	80.4	85.8	67	64.4	69.1
15	83.2	80.4	85.8	66.9	64.4	69
14	83.2	80.4	85.8	66.8	64.3	69
13	83.2	80.4	85.7	66.8	64.3	68.9
12	83.2	80.4	85.7	66.8	64.2	68.9
11	83.1	80.4	85.7	66.7	64.2	68.8
10	83.1	80.4	85.7	66.7	64.2	68.8
9	83.1	80.4	85.7	66.6	64.1	68.8
8	83.1	80.4	85.7	66.6	64.1	68.7
7	83.1	80.4	85.7	66.5	64	68.7
6	83.1	80.4	85.7	66.5	64	68.6
5	83.1	80.3	85.7	66.4	63.9	68.5
4	83.1	80.3	85.7	66.3	63.8	68.4
3	83.1	80.3	85.7	66.2	63.6	68.3
2	83.1	80.3	85.7	66	63.5	68.1
1	83.1	80.3	85.7	65.6	63.2	67.7
0	82.9	80.1	85.5	63.6	61	65.9

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 Portugal can expect to live to 83.4 years compared to 68.5 in Zimbabwe, rising to 86.2 and 78.3 at 65, and to 89.7 and 86.4 at 80 — higher than the 82.9 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Portugal

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Portugal			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	2.77%	1.47%	3.88%	0.2%	0.07%	0.33%
99	4.01%	2.22%	5.56%	0.31%	0.12%	0.5%
98	5.62%	3.24%	7.71%	0.46%	0.18%	0.73%
97	7.65%	4.58%	10.3%	0.66%	0.27%	1.05%
96	10.1%	6.28%	13.5%	0.94%	0.4%	1.47%
95	13%	8.36%	17.1%	1.3%	0.59%	2.02%
94	16.2%	10.8%	21.1%	1.77%	0.83%	2.71%
93	19.9%	13.7%	25.5%	2.36%	1.15%	3.55%
92	23.8%	16.9%	30.2%	3.08%	1.57%	4.57%
91	28.1%	20.4%	35.1%	3.95%	2.09%	5.75%
90	32.4%	24.1%	40.1%	4.99%	2.73%	7.15%
89	36.8%	28.1%	45%	6.18%	3.51%	8.72%
88	41.2%	32.1%	49.8%	7.56%	4.44%	10.5%
87	45.5%	36.1%	54.4%	9.1%	5.53%	12.4%
86	49.7%	40.1%	58.8%	10.8%	6.78%	14.5%
85	53.7%	44.1%	62.8%	12.7%	8.2%	16.8%
84	57.5%	47.9%	66.5%	14.7%	9.78%	19.1%
83	61%	51.5%	69.9%	16.8%	11.5%	21.5%
82	64.2%	54.9%	73%	19%	13.4%	24%
81	67.2%	58.1%	75.7%	21.2%	15.4%	26.4%
80	69.8%	61.1%	78.1%	23.5%	17.5%	28.8%
79	72.3%	63.8%	80.3%	25.9%	19.7%	31.3%
78	74.4%	66.3%	82.1%	28.3%	21.9%	33.8%
77	76.4%	68.6%	83.8%	30.7%	24.3%	36.3%
76	78.2%	70.7%	85.2%	33.2%	26.6%	38.7%
75	79.8%	72.7%	86.5%	35.6%	29%	41.2%
74	81.3%	74.5%	87.7%	38%	31.4%	43.6%
73	82.7%	76.2%	88.7%	40.4%	33.9%	45.9%
72	83.9%	77.8%	89.6%	42.8%	36.3%	48.2%
71	85.1%	79.3%	90.4%	45.1%	38.6%	50.4%
70	86.1%	80.7%	91.2%	47.3%	40.9%	52.6%
69	87.1%	82%	91.8%	49.5%	43.2%	54.7%
68	88%	83.2%	92.4%	51.6%	45.4%	56.7%
67	88.8%	84.3%	93%	53.6%	47.6%	58.6%
66	89.6%	85.4%	93.5%	55.6%	49.7%	60.5%
65	90.3%	86.4%	94%	57.6%	51.8%	62.3%
64	91%	87.4%	94.4%	59.5%	53.8%	64%
63	91.7%	88.3%	94.8%	61.2%	55.8%	65.7%
62	92.3%	89.2%	95.2%	63%	57.7%	67.2%
61	92.9%	90.1%	95.5%	64.6%	59.5%	68.7%
60	93.4%	90.9%	95.9%	66.2%	61.2%	70.1%
59	93.9%	91.6%	96.2%	67.6%	62.9%	71.4%
58	94.4%	92.3%	96.4%	69.1%	64.5%	72.7%
57	94.9%	92.9%	96.7%	70.4%	66%	73.9%
56	95.3%	93.5%	96.9%	71.7%	67.5%	75%
55	95.7%	94.1%	97.2%	72.9%	69%	76.1%
54	96%	94.6%	97.4%	74.1%	70.3%	77.2%
53	96.4%	95.1%	97.6%	75.2%	71.7%	78.2%
52	96.7%	95.6%	97.8%	76.3%	73%	79.1%
51	97%	96%	98%	77.4%	74.2%	80.1%
50	97.2%	96.3%	98.1%	78.4%	75.4%	81%
49	97.5%	96.7%	98.3%	79.4%	76.6%	81.8%
48	97.7%	97%	98.4%	80.3%	77.7%	82.6%
47	97.9%	97.2%	98.5%	81.2%	78.7%	83.4%
46	98%	97.5%	98.6%	82%	79.7%	84.1%
45	98.2%	97.7%	98.7%	82.9%	80.7%	84.8%
44	98.3%	97.9%	98.8%	83.6%	81.6%	85.5%
43	98.5%	98%	98.9%	84.4%	82.5%	86.1%
42	98.6%	98.2%	99%	85.1%	83.3%	86.7%
41	98.7%	98.3%	99.1%	85.8%	84.1%	87.3%
40	98.8%	98.4%	99.1%	86.4%	84.9%	87.9%
39	98.8%	98.5%	99.2%	87.1%	85.6%	88.4%
38	98.9%	98.6%	99.2%	87.7%	86.3%	89%
37	99%	98.7%	99.3%	88.2%	86.9%	89.5%
36	99%	98.8%	99.3%	88.8%	87.5%	89.9%
35	99.1%	98.8%	99.3%	89.3%	88.1%	90.4%
34	99.1%	98.9%	99.4%	89.8%	88.7%	90.8%
33	99.2%	99%	99.4%	90.2%	89.2%	91.2%
32	99.2%	99%	99.4%	90.7%	89.7%	91.6%
31	99.3%	99.1%	99.5%	91.1%	90.1%	91.9%
30	99.3%	99.1%	99.5%	91.4%	90.6%	92.3%
29	99.3%	99.2%	99.5%	91.8%	91%	92.6%
28	99.4%	99.2%	99.5%	92.1%	91.4%	92.9%
27	99.4%	99.3%	99.5%	92.5%	91.7%	93.2%
26	99.4%	99.3%	99.6%	92.8%	92.1%	93.5%
25	99.5%	99.3%	99.6%	93.1%	92.4%	93.7%
24	99.5%	99.4%	99.6%	93.3%	92.7%	93.9%
23	99.5%	99.4%	99.6%	93.6%	93%	94.2%
22	99.5%	99.5%	99.6%	93.8%	93.3%	94.4%
21	99.6%	99.5%	99.6%	94%	93.5%	94.5%
20	99.6%	99.5%	99.6%	94.2%	93.8%	94.7%
19	99.6%	99.6%	99.7%	94.4%	94%	94.9%
18	99.6%	99.6%	99.7%	94.6%	94.2%	95%
17	99.6%	99.6%	99.7%	94.7%	94.3%	95.1%
16	99.7%	99.6%	99.7%	94.8%	94.5%	95.2%
15	99.7%	99.6%	99.7%	94.9%	94.6%	95.3%
14	99.7%	99.6%	99.7%	95%	94.7%	95.4%
13	99.7%	99.6%	99.7%	95.1%	94.8%	95.5%
12	99.7%	99.7%	99.7%	95.2%	94.8%	95.6%
11	99.7%	99.7%	99.7%	95.3%	94.9%	95.6%
10	99.7%	99.7%	99.7%	95.3%	95%	95.7%
9	99.7%	99.7%	99.7%	95.4%	95.1%	95.8%
8	99.7%	99.7%	99.7%	95.5%	95.1%	95.8%
7	99.7%	99.7%	99.7%	95.6%	95.2%	95.9%
6	99.7%	99.7%	99.7%	95.7%	95.3%	96%
5	99.7%	99.7%	99.7%	95.8%	95.5%	96.1%
4	99.7%	99.7%	99.8%	95.9%	95.6%	96.3%
3	99.7%	99.7%	99.8%	96.2%	95.8%	96.5%
2	99.8%	99.7%	99.8%	96.5%	96.1%	96.8%
1	99.8%	99.8%	99.8%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Portugal and 66.2% in Zimbabwe are expected to live past 60, 86.1% and 47.3% past 70, 69.8% and 23.5% past 80, and only 32.4% and 4.99% past 90.

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

Odds of dying at each age

Chart Table

Portugal

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Portugal			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	33.1%	35.9%	32.5%	35.7%	38.2%	35%
99	31%	33.7%	30.2%	34.3%	36.9%	33.6%
98	28.7%	31.4%	27.9%	32.4%	35.2%	31.7%
97	26.4%	29.2%	25.5%	31.1%	33.9%	30.2%
96	24.3%	27%	23.3%	29.6%	32.5%	28.7%
95	22.2%	24.9%	21.1%	28.1%	31%	27.1%
94	20.2%	22.8%	19.1%	26.4%	29.5%	25.4%
93	18.3%	20.8%	17.2%	24.9%	27.9%	23.7%
92	16.6%	19%	15.5%	23.5%	26.4%	22.2%
91	15.1%	17.3%	14%	21.9%	24.9%	20.6%
90	13.4%	15.5%	12.3%	20.9%	23.7%	19.6%
89	12%	14%	10.9%	19.3%	22.2%	18%
88	10.6%	12.5%	9.61%	18.2%	20.9%	16.8%
87	9.48%	11.2%	8.49%	16.9%	19.7%	15.6%
86	8.42%	10%	7.43%	15.8%	18.5%	14.5%
85	7.44%	8.92%	6.47%	14.7%	17.3%	13.3%
84	6.55%	7.94%	5.61%	13.6%	16.2%	12.3%
83	5.75%	7.06%	4.86%	12.5%	15%	11.2%
82	5.02%	6.22%	4.18%	11.6%	14%	10.2%
81	4.42%	5.53%	3.62%	10.5%	12.9%	9.17%
80	3.82%	4.82%	3.08%	9.89%	12.1%	8.58%
79	3.34%	4.26%	2.65%	9.11%	11.1%	7.87%
78	2.92%	3.76%	2.26%	8.54%	10.4%	7.38%
77	2.59%	3.38%	1.97%	7.89%	9.57%	6.81%
76	2.3%	3.02%	1.7%	7.37%	8.9%	6.37%
75	2.04%	2.71%	1.49%	6.87%	8.28%	5.94%
74	1.82%	2.46%	1.31%	6.38%	7.68%	5.51%
73	1.64%	2.23%	1.15%	5.92%	7.12%	5.11%
72	1.48%	2.03%	1.02%	5.51%	6.62%	4.76%
71	1.35%	1.88%	0.92%	5.06%	6.09%	4.37%
70	1.21%	1.7%	0.81%	4.75%	5.7%	4.11%
69	1.12%	1.58%	0.73%	4.38%	5.25%	3.78%
68	1.02%	1.45%	0.65%	4.09%	4.9%	3.54%
67	0.94%	1.34%	0.59%	3.82%	4.56%	3.31%
66	0.87%	1.25%	0.54%	3.58%	4.26%	3.1%
65	0.81%	1.17%	0.49%	3.38%	4.01%	2.93%
64	0.76%	1.11%	0.46%	3.14%	3.74%	2.7%
63	0.72%	1.06%	0.43%	2.92%	3.5%	2.49%
62	0.68%	1%	0.4%	2.73%	3.28%	2.31%
61	0.64%	0.95%	0.37%	2.53%	3.04%	2.13%
60	0.59%	0.88%	0.34%	2.37%	2.87%	1.99%
59	0.55%	0.82%	0.32%	2.19%	2.65%	1.85%
58	0.51%	0.75%	0.29%	2.04%	2.48%	1.73%
57	0.47%	0.7%	0.27%	1.91%	2.33%	1.62%
56	0.44%	0.64%	0.25%	1.79%	2.2%	1.53%
55	0.41%	0.6%	0.24%	1.69%	2.09%	1.44%
54	0.38%	0.55%	0.22%	1.6%	1.97%	1.36%
53	0.35%	0.51%	0.21%	1.52%	1.87%	1.29%
52	0.32%	0.47%	0.19%	1.44%	1.78%	1.23%
51	0.3%	0.43%	0.18%	1.36%	1.68%	1.15%
50	0.27%	0.38%	0.16%	1.3%	1.6%	1.1%
49	0.24%	0.34%	0.15%	1.22%	1.5%	1.03%
48	0.22%	0.3%	0.14%	1.16%	1.41%	0.98%
47	0.2%	0.27%	0.13%	1.09%	1.33%	0.92%
46	0.18%	0.24%	0.11%	1.04%	1.25%	0.87%
45	0.16%	0.21%	0.1%	0.99%	1.19%	0.83%
44	0.14%	0.19%	0.09%	0.93%	1.12%	0.78%
43	0.13%	0.17%	0.08%	0.89%	1.06%	0.75%
42	0.11%	0.15%	0.08%	0.84%	1%	0.71%
41	0.1%	0.13%	0.07%	0.8%	0.95%	0.68%
40	0.09%	0.12%	0.06%	0.76%	0.9%	0.65%
39	0.08%	0.1%	0.06%	0.72%	0.85%	0.62%
38	0.07%	0.09%	0.05%	0.68%	0.8%	0.59%
37	0.06%	0.08%	0.04%	0.64%	0.75%	0.55%
36	0.06%	0.07%	0.04%	0.61%	0.71%	0.53%
35	0.05%	0.07%	0.04%	0.57%	0.66%	0.5%
34	0.05%	0.06%	0.03%	0.54%	0.62%	0.47%
33	0.04%	0.06%	0.03%	0.5%	0.58%	0.44%
32	0.04%	0.06%	0.03%	0.47%	0.54%	0.41%
31	0.04%	0.05%	0.03%	0.44%	0.51%	0.39%
30	0.04%	0.05%	0.02%	0.42%	0.48%	0.37%
29	0.04%	0.05%	0.02%	0.4%	0.45%	0.35%
28	0.03%	0.05%	0.02%	0.37%	0.42%	0.33%
27	0.03%	0.05%	0.02%	0.35%	0.4%	0.31%
26	0.03%	0.04%	0.02%	0.33%	0.37%	0.29%
25	0.03%	0.04%	0.02%	0.31%	0.35%	0.26%
24	0.03%	0.04%	0.02%	0.29%	0.33%	0.25%
23	0.03%	0.04%	0.02%	0.27%	0.31%	0.23%
22	0.03%	0.04%	0.02%	0.25%	0.29%	0.21%
21	0.03%	0.04%	0.02%	0.23%	0.27%	0.19%
20	0.02%	0.03%	0.01%	0.21%	0.25%	0.18%
19	0.02%	0.03%	0.01%	0.19%	0.22%	0.16%
18	0.02%	0.03%	0.01%	0.17%	0.2%	0.15%
17	0.02%	0.02%	0.01%	0.15%	0.17%	0.13%
16	0.01%	0.02%	0.008%	0.13%	0.14%	0.12%
15	0.01%	0.01%	0.007%	0.11%	0.12%	0.1%
14	0.008%	0.009%	0.007%	0.1%	0.1%	0.09%
13	0.007%	0.008%	0.006%	0.08%	0.09%	0.08%
12	0.006%	0.007%	0.006%	0.08%	0.08%	0.07%
11	0.006%	0.006%	0.005%	0.07%	0.08%	0.07%
10	0.006%	0.006%	0.005%	0.07%	0.08%	0.07%
9	0.005%	0.005%	0.005%	0.08%	0.08%	0.07%
8	0.005%	0.005%	0.005%	0.08%	0.09%	0.08%
7	0.005%	0.005%	0.004%	0.09%	0.1%	0.09%
6	0.005%	0.005%	0.004%	0.1%	0.11%	0.1%
5	0.005%	0.006%	0.005%	0.12%	0.13%	0.12%
4	0.006%	0.007%	0.006%	0.16%	0.17%	0.16%
3	0.009%	0.01%	0.008%	0.22%	0.22%	0.22%
2	0.02%	0.02%	0.01%	0.32%	0.32%	0.32%
1	0.03%	0.04%	0.03%	0.5%	0.48%	0.52%
0	0.21%	0.23%	0.19%	3.05%	3.4%	2.7%

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

The annual chance of dying is 0.21% in the birth year in Portugal and 3.05% in Zimbabwe, 0.04% vs 0.42% at age 30, 0.59% vs 2.37% at 60, and 3.82% vs 9.89% at 80.

Death rate by age in Portugal vs Zimbabwe

Chart Table

Portugal

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Portugal			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	810	374	1,188	24.9	0	53
99	1,243	749	1,681	105.4	43.2	168.4
98	1,613	1,019	2,147	147.6	63.5	232.4
97	2,022	1,339	2,643	205	92.4	318
96	2,448	1,698	3,140	277.6	131.3	423
95	2,875	2,081	3,611	366	181.8	548
94	3,278	2,469	4,036	469	244.7	687
93	3,642	2,847	4,400	588	322	843
92	3,957	3,200	4,688	724	414	1,016
91	4,225	3,532	4,904	863	518	1,184
90	4,340	3,738	4,933	1,040	647	1,401
89	4,424	3,931	4,925	1,196	779	1,570
88	4,378	3,996	4,781	1,372	930	1,762
87	4,318	4,044	4,616	1,540	1,088	1,934
86	4,185	4,017	4,368	1,709	1,253	2,102
85	3,997	3,930	4,062	1,858	1,418	2,232
84	3,763	3,799	3,731	1,999	1,583	2,345
83	3,509	3,634	3,399	2,102	1,730	2,403
82	3,223	3,413	3,050	2,197	1,873	2,450
81	2,969	3,215	2,744	2,235	1,982	2,419
80	2,665	2,944	2,408	2,328	2,113	2,474
79	2,414	2,720	2,124	2,358	2,186	2,465
78	2,171	2,495	1,860	2,416	2,272	2,497
77	1,978	2,317	1,646	2,424	2,321	2,470
76	1,795	2,139	1,453	2,444	2,370	2,468
75	1,627	1,973	1,285	2,448	2,404	2,446
74	1,482	1,832	1,145	2,427	2,414	2,401
73	1,353	1,703	1,024	2,393	2,412	2,346
72	1,239	1,579	914	2,356	2,400	2,294
71	1,150	1,489	829	2,281	2,352	2,203
70	1,045	1,370	737	2,250	2,336	2,164
69	976	1,298	672	2,166	2,269	2,069
68	894	1,205	604	2,111	2,224	2,007
67	831	1,134	550	2,050	2,172	1,938
66	777	1,068	503	1,993	2,121	1,875
65	730	1,014	465	1,945	2,075	1,824
64	691	971	432	1,866	2,014	1,726
63	656	932	403	1,790	1,952	1,636
62	623	892	377	1,718	1,890	1,553
61	595	855	355	1,632	1,809	1,463
60	552	797	327	1,571	1,756	1,398
59	517	749	304	1,481	1,664	1,318
58	479	695	280	1,411	1,599	1,257
57	448	647	261.4	1,341	1,537	1,197
56	417	601	244.5	1,284	1,485	1,146
55	389	560	229.8	1,233	1,440	1,097
54	364	522	216.2	1,184	1,389	1,052
53	338	484	203.1	1,140	1,342	1,009
52	312	445	189.2	1,100	1,298	971
51	288.2	408	176.1	1,050	1,245	925
50	260.4	366	161.5	1,018	1,207	892
49	236.6	330	149	969	1,146	846
48	212.9	295.2	135.9	929	1,096	806
47	192.2	265.3	123.9	888	1,046	766
46	172.1	236.4	111.8	850	1,000	731
45	153.6	209.9	100.7	816	958	702
44	138.1	187.4	91.6	779	911	669
43	124.3	166.9	83.7	747	871	642
42	111.5	147.9	76.5	717	834	617
41	100.4	132.1	69.8	685	795	592
40	88.2	115.4	62	659	766	571
39	77.9	101.3	55	627	725	545
38	68.7	89.2	48.5	599	691	522
37	61.6	80.3	42.9	568	655	496
36	56	73.5	38.5	539	619	473
35	51.9	68.3	35.2	512	586	450
34	48.2	63.7	32.6	481	550	423
33	44.5	58.8	30.1	453	517	400
32	41.6	55	27.8	428	487	379
31	39.7	53.2	25.7	403	458	356
30	37.9	51.8	23.4	385	436	341
29	36.2	50.7	21.1	363	409	323
28	33.9	48.6	18.7	343	387	303
27	31.7	46.2	16.7	324	365	286.2
26	29.8	43.5	15.5	304	344	267.1
25	28.6	41.2	15.3	286.4	326	248.2
24	27.8	39.4	15.7	268.5	307	231.1
23	27.5	38.2	16.2	251.5	289	214.4
22	26.9	37.2	16.1	234.1	270.1	198.3
21	26	36	15.5	216.1	249.9	182.2
20	24.5	34.2	14.5	200.4	229.9	170.6
19	21.9	30.5	13	182.4	209.2	155.3
18	18.6	25.8	11.2	164.9	188.9	140.6
17	15.3	20.8	9.7	143.2	161.3	124.9
16	12.2	16	8.39	122.8	135.4	110
15	9.78	12.1	7.4	106.1	114.9	97.1
14	8	9.27	6.65	90.9	97.8	83.9
13	6.88	7.6	6.12	80.4	85.9	74.8
12	6.21	6.69	5.7	73.9	79.4	68.4
11	5.85	6.3	5.37	70.9	76.1	65.5
10	5.56	5.99	5.1	70.4	74.5	66.2
9	5.15	5.43	4.85	72.9	76.9	68.8
8	4.77	4.94	4.6	78.6	83.3	73.8
7	4.6	4.78	4.41	87.5	92.4	82.5
6	4.8	5.18	4.39	98.5	103	94
5	5.34	5.98	4.67	116.6	119.9	113.1
4	6.36	7.16	5.52	153.9	157.9	149.8
3	8.8	9.82	7.74	211.7	213.4	209.9
2	15.2	16.9	13.4	308	305	311
1	34.3	38	30.5	484	463	505
0	214.3	234.1	193.4	3,053	3,402	2,699

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 Portugal, the most common age of death is 89, compared to 0 in Zimbabwe. The median age of death is 85.9 in Portugal and 68.8 in Zimbabwe, 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 Portugal and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x