Life Expectancy in Belgium vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Belgium

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	Belgium			Tanzania
	Average	Male	Female	Average	Male	Female
100	102	101.9	102	102.5	101.9	102.6
99	101.2	101.1	101.2	101.7	101	101.7
98	100.3	100.2	100.4	100.8	100.1	100.9
97	99.5	99.4	99.6	100	99.2	100.1
96	98.7	98.5	98.8	99.1	98.4	99.3
95	98	97.7	98	98.3	97.5	98.4
94	97.2	97	97.3	97.4	96.6	97.7
93	96.5	96.2	96.6	96.6	95.8	96.9
92	95.8	95.5	96	95.8	94.9	96.1
91	95.1	94.8	95.3	95.1	94.1	95.4
90	94.5	94.1	94.7	94.3	93.3	94.6
89	93.9	93.4	94.1	93.5	92.5	93.9
88	93.3	92.8	93.6	92.7	91.7	93.2
87	92.8	92.2	93.1	92	90.9	92.5
86	92.2	91.7	92.6	91.3	90.1	91.9
85	91.8	91.1	92.2	90.6	89.4	91.2
84	91.3	90.6	91.7	89.9	88.7	90.6
83	90.9	90.1	91.4	89.2	88	90
82	90.5	89.7	91	88.6	87.3	89.4
81	90.1	89.2	90.7	87.9	86.6	88.9
80	89.7	88.8	90.4	87.3	86	88.3
79	89.4	88.4	90.1	86.8	85.3	87.8
78	89.1	88.1	89.8	86.2	84.7	87.3
77	88.8	87.7	89.6	85.6	84.1	86.8
76	88.5	87.4	89.3	85.1	83.5	86.3
75	88.2	87	89.1	84.5	83	85.8
74	87.9	86.7	88.9	84	82.4	85.3
73	87.6	86.4	88.7	83.5	81.9	84.8
72	87.4	86.1	88.5	83	81.4	84.3
71	87.1	85.8	88.3	82.5	80.9	83.9
70	86.9	85.5	88.1	82.1	80.4	83.4
69	86.7	85.3	87.9	81.6	79.9	83
68	86.5	85	87.8	81.2	79.4	82.6
67	86.3	84.8	87.6	80.7	79	82.2
66	86.1	84.5	87.5	80.3	78.5	81.8
65	85.9	84.3	87.3	79.9	78.1	81.4
64	85.7	84.1	87.2	79.5	77.6	81
63	85.5	83.9	87	79.1	77.2	80.7
62	85.3	83.7	86.9	78.7	76.8	80.3
61	85.2	83.5	86.7	78.4	76.4	80
60	85	83.3	86.6	78	76.1	79.7
59	84.9	83.2	86.5	77.7	75.7	79.4
58	84.8	83	86.4	77.4	75.4	79.1
57	84.6	82.9	86.3	77.1	75	78.9
56	84.5	82.7	86.2	76.8	74.7	78.6
55	84.4	82.6	86.1	76.5	74.4	78.3
54	84.3	82.5	86	76.2	74.1	78.1
53	84.2	82.4	86	75.9	73.8	77.9
52	84.1	82.3	85.9	75.7	73.5	77.6
51	84.1	82.2	85.8	75.4	73.3	77.4
50	84	82.1	85.8	75.2	73	77.2
49	83.9	82	85.7	75	72.7	77
48	83.8	82	85.7	74.7	72.5	76.8
47	83.8	81.9	85.6	74.5	72.3	76.6
46	83.7	81.8	85.6	74.3	72	76.5
45	83.7	81.8	85.5	74.1	71.8	76.3
44	83.6	81.7	85.5	73.9	71.6	76.1
43	83.6	81.6	85.4	73.8	71.4	76
42	83.5	81.6	85.4	73.6	71.2	75.8
41	83.5	81.5	85.4	73.4	71	75.6
40	83.5	81.5	85.3	73.2	70.8	75.5
39	83.4	81.5	85.3	73.1	70.7	75.4
38	83.4	81.4	85.3	72.9	70.5	75.2
37	83.4	81.4	85.3	72.8	70.3	75.1
36	83.3	81.3	85.2	72.6	70.2	75
35	83.3	81.3	85.2	72.5	70	74.8
34	83.3	81.3	85.2	72.4	69.9	74.7
33	83.2	81.2	85.2	72.2	69.7	74.6
32	83.2	81.2	85.2	72.1	69.6	74.5
31	83.2	81.2	85.2	72	69.5	74.4
30	83.2	81.1	85.1	71.9	69.3	74.3
29	83.1	81.1	85.1	71.8	69.2	74.2
28	83.1	81.1	85.1	71.7	69.1	74.1
27	83.1	81.1	85.1	71.6	69	74
26	83.1	81	85.1	71.4	68.9	73.9
25	83.1	81	85.1	71.4	68.7	73.9
24	83	81	85.1	71.3	68.6	73.8
23	83	80.9	85.1	71.2	68.5	73.7
22	83	80.9	85	71.1	68.4	73.6
21	83	80.9	85	71	68.3	73.6
20	83	80.9	85	70.9	68.2	73.5
19	82.9	80.8	85	70.8	68.1	73.4
18	82.9	80.8	85	70.8	68.1	73.4
17	82.9	80.8	85	70.7	68	73.3
16	82.9	80.8	85	70.6	67.9	73.3
15	82.9	80.8	85	70.6	67.9	73.2
14	82.9	80.8	85	70.5	67.8	73.2
13	82.9	80.8	85	70.5	67.8	73.2
12	82.9	80.8	85	70.5	67.7	73.1
11	82.9	80.8	85	70.4	67.7	73.1
10	82.9	80.8	85	70.4	67.7	73.1
9	82.9	80.8	85	70.4	67.6	73
8	82.9	80.8	84.9	70.3	67.6	73
7	82.9	80.8	84.9	70.3	67.5	72.9
6	82.9	80.7	84.9	70.2	67.5	72.9
5	82.9	80.7	84.9	70.2	67.4	72.8
4	82.8	80.7	84.9	70.1	67.3	72.7
3	82.8	80.7	84.9	69.9	67.2	72.6
2	82.8	80.7	84.9	69.8	67	72.4
1	82.8	80.7	84.9	69.5	66.8	72.2
0	82.6	80.5	84.7	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 Belgium can expect to live to 83.2 years compared to 71.9 in Tanzania, rising to 85.9 and 79.9 at 65, and to 89.7 and 87.3 at 80 — higher than the 82.6 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Belgium

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	Belgium			Tanzania
	Average	Male	Female	Average	Male	Female
100	2.23%	1.26%	3.07%	0.67%	0.12%	1.28%
99	3.37%	1.97%	4.6%	0.94%	0.2%	1.76%
98	4.9%	2.96%	6.62%	1.29%	0.3%	2.36%
97	6.87%	4.29%	9.17%	1.73%	0.46%	3.12%
96	9.32%	6.01%	12.3%	2.29%	0.68%	4.05%
95	12.2%	8.16%	16%	2.99%	0.98%	5.16%
94	15.6%	10.7%	20.1%	3.82%	1.38%	6.46%
93	19.3%	13.7%	24.5%	4.81%	1.89%	7.95%
92	23.4%	17.1%	29.2%	5.97%	2.55%	9.63%
91	27.7%	20.8%	34.1%	7.28%	3.35%	11.5%
90	32.1%	24.7%	39.1%	8.82%	4.35%	13.5%
89	36.5%	28.8%	44%	10.5%	5.52%	15.7%
88	40.9%	32.9%	48.7%	12.4%	6.9%	18.1%
87	45.2%	37.1%	53.1%	14.4%	8.47%	20.5%
86	49.3%	41.2%	57.2%	16.6%	10.2%	23.1%
85	53.1%	45.1%	61%	19%	12.2%	25.7%
84	56.7%	48.8%	64.5%	21.4%	14.3%	28.4%
83	60%	52.3%	67.6%	23.9%	16.6%	31%
82	63%	55.7%	70.4%	26.5%	19%	33.6%
81	65.8%	58.8%	72.9%	29%	21.4%	36.1%
80	68.4%	61.7%	75.2%	31.5%	24%	38.5%
79	70.8%	64.4%	77.2%	34.1%	26.6%	41%
78	72.9%	66.9%	79%	36.6%	29.2%	43.4%
77	74.9%	69.3%	80.7%	39.2%	31.8%	45.8%
76	76.8%	71.5%	82.2%	41.7%	34.5%	48.2%
75	78.5%	73.6%	83.5%	44.2%	37.1%	50.6%
74	80.1%	75.5%	84.8%	46.6%	39.7%	52.9%
73	81.6%	77.4%	86%	49%	42.2%	55.1%
72	83%	79%	87.1%	51.3%	44.7%	57.3%
71	84.3%	80.6%	88%	53.5%	47.1%	59.4%
70	85.4%	82%	88.9%	55.7%	49.5%	61.4%
69	86.5%	83.4%	89.8%	57.7%	51.8%	63.3%
68	87.6%	84.7%	90.5%	59.7%	54%	65.2%
67	88.5%	85.9%	91.2%	61.7%	56.2%	67%
66	89.4%	87%	91.9%	63.6%	58.3%	68.8%
65	90.3%	88.1%	92.6%	65.4%	60.3%	70.5%
64	91.1%	89.1%	93.2%	67.2%	62.3%	72%
63	91.8%	90%	93.8%	68.8%	64.2%	73.5%
62	92.5%	90.8%	94.3%	70.4%	66%	74.9%
61	93.2%	91.6%	94.8%	71.9%	67.6%	76.2%
60	93.7%	92.3%	95.2%	73.3%	69.3%	77.5%
59	94.3%	92.9%	95.6%	74.7%	70.8%	78.6%
58	94.7%	93.5%	96%	75.9%	72.2%	79.7%
57	95.2%	94.1%	96.3%	77.1%	73.6%	80.7%
56	95.6%	94.5%	96.6%	78.2%	74.9%	81.6%
55	95.9%	94.9%	96.9%	79.3%	76.1%	82.5%
54	96.2%	95.3%	97.1%	80.3%	77.3%	83.3%
53	96.5%	95.7%	97.4%	81.3%	78.4%	84.2%
52	96.8%	96%	97.6%	82.2%	79.4%	84.9%
51	97%	96.3%	97.8%	83%	80.4%	85.6%
50	97.2%	96.5%	97.9%	83.9%	81.4%	86.3%
49	97.4%	96.8%	98.1%	84.6%	82.3%	86.9%
48	97.6%	97%	98.2%	85.3%	83.1%	87.5%
47	97.8%	97.2%	98.4%	86%	83.9%	88.1%
46	97.9%	97.4%	98.5%	86.6%	84.7%	88.6%
45	98.1%	97.5%	98.6%	87.2%	85.4%	89.1%
44	98.2%	97.7%	98.7%	87.8%	86%	89.6%
43	98.3%	97.8%	98.8%	88.3%	86.7%	90%
42	98.4%	98%	98.9%	88.8%	87.2%	90.5%
41	98.5%	98.1%	98.9%	89.3%	87.8%	90.8%
40	98.6%	98.2%	99%	89.8%	88.3%	91.2%
39	98.7%	98.3%	99%	90.2%	88.8%	91.6%
38	98.7%	98.4%	99.1%	90.6%	89.3%	91.9%
37	98.8%	98.5%	99.1%	91%	89.8%	92.2%
36	98.9%	98.6%	99.2%	91.3%	90.2%	92.5%
35	98.9%	98.6%	99.2%	91.7%	90.6%	92.8%
34	99%	98.7%	99.3%	92%	90.9%	93.1%
33	99%	98.8%	99.3%	92.3%	91.3%	93.3%
32	99.1%	98.8%	99.3%	92.6%	91.6%	93.6%
31	99.1%	98.9%	99.4%	92.9%	92%	93.8%
30	99.2%	99%	99.4%	93.1%	92.3%	94%
29	99.2%	99%	99.4%	93.4%	92.5%	94.2%
28	99.3%	99.1%	99.4%	93.6%	92.8%	94.4%
27	99.3%	99.1%	99.5%	93.8%	93.1%	94.6%
26	99.3%	99.2%	99.5%	94%	93.3%	94.8%
25	99.4%	99.2%	99.5%	94.2%	93.6%	94.9%
24	99.4%	99.3%	99.5%	94.4%	93.8%	95.1%
23	99.4%	99.3%	99.5%	94.6%	94%	95.2%
22	99.5%	99.4%	99.6%	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	99.6%	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%	99.5%	99.6%	95.5%	95.1%	95.9%
16	99.6%	99.6%	99.7%	95.6%	95.2%	96%
15	99.6%	99.6%	99.7%	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	99.6%	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%	99.6%	99.7%	96.3%	96%	96.6%
5	99.7%	99.6%	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. 93.7% of newborns in Belgium and 73.3% in Tanzania are expected to live past 60, 85.4% and 55.7% past 70, 68.4% and 31.5% past 80, and only 32.1% 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

Belgium

Male

Female

Tanzania

Male

Female

1x

Age	Probability of dying
	Belgium			Tanzania
	Average	Male	Female	Average	Male	Female
100	36.2%	38.3%	35.7%	29.4%	38.6%	28.4%
99	33.8%	35.9%	33.2%	28.3%	37.1%	27.2%
98	31.2%	33.5%	30.5%	26.8%	35.3%	25.5%
97	28.6%	31%	27.8%	25.7%	33.9%	24.3%
96	26.2%	28.7%	25.4%	24.5%	32.3%	23%
95	23.9%	26.4%	23%	23.3%	30.7%	21.6%
94	21.5%	24.1%	20.5%	21.8%	28.9%	20.1%
93	19.3%	21.8%	18.2%	20.6%	27.3%	18.7%
92	17.3%	19.7%	16.1%	19.4%	25.7%	17.5%
91	15.4%	17.7%	14.3%	18.1%	24%	16%
90	13.8%	15.8%	12.7%	17.4%	22.9%	15.3%
89	12.2%	14.1%	11.1%	16.1%	21.3%	13.9%
88	10.8%	12.6%	9.67%	15.2%	20%	13%
87	9.45%	11.2%	8.34%	14.2%	18.6%	12%
86	8.27%	9.93%	7.21%	13.3%	17.3%	11.1%
85	7.22%	8.7%	6.22%	12.3%	16%	10.2%
84	6.3%	7.62%	5.37%	11.4%	14.9%	9.37%
83	5.5%	6.73%	4.6%	10.4%	13.7%	8.46%
82	4.83%	5.99%	3.97%	9.6%	12.6%	7.7%
81	4.25%	5.3%	3.44%	8.6%	11.4%	6.8%
80	3.75%	4.7%	3%	8.09%	10.6%	6.4%
79	3.34%	4.2%	2.63%	7.47%	9.73%	5.95%
78	2.98%	3.78%	2.31%	7.01%	9.02%	5.65%
77	2.68%	3.44%	2.04%	6.47%	8.26%	5.24%
76	2.42%	3.11%	1.82%	6.05%	7.65%	4.95%
75	2.19%	2.81%	1.65%	5.63%	7.08%	4.66%
74	2.01%	2.57%	1.51%	5.22%	6.52%	4.35%
73	1.84%	2.36%	1.37%	4.83%	6.02%	4.06%
72	1.65%	2.12%	1.23%	4.5%	5.58%	3.8%
71	1.49%	1.91%	1.11%	4.12%	5.1%	3.49%
70	1.37%	1.76%	1.01%	3.91%	4.8%	3.33%
69	1.28%	1.65%	0.93%	3.59%	4.41%	3.06%
68	1.18%	1.53%	0.84%	3.37%	4.12%	2.88%
67	1.09%	1.41%	0.78%	3.16%	3.84%	2.7%
66	1.02%	1.3%	0.74%	2.97%	3.6%	2.54%
65	0.95%	1.2%	0.7%	2.83%	3.4%	2.41%
64	0.87%	1.09%	0.65%	2.61%	3.15%	2.2%
63	0.82%	1.02%	0.62%	2.42%	2.92%	2.02%
62	0.76%	0.94%	0.58%	2.25%	2.71%	1.86%
61	0.68%	0.85%	0.51%	2.06%	2.49%	1.7%
60	0.61%	0.76%	0.45%	1.94%	2.34%	1.58%
59	0.55%	0.69%	0.41%	1.78%	2.14%	1.44%
58	0.5%	0.62%	0.38%	1.66%	1.99%	1.34%
57	0.45%	0.56%	0.34%	1.54%	1.85%	1.24%
56	0.4%	0.5%	0.31%	1.44%	1.73%	1.16%
55	0.36%	0.44%	0.28%	1.35%	1.62%	1.09%
54	0.33%	0.4%	0.26%	1.26%	1.52%	1.02%
53	0.3%	0.36%	0.24%	1.18%	1.42%	0.95%
52	0.27%	0.33%	0.21%	1.11%	1.34%	0.9%
51	0.24%	0.3%	0.19%	1.03%	1.24%	0.83%
50	0.22%	0.27%	0.18%	0.97%	1.17%	0.79%
49	0.21%	0.24%	0.17%	0.9%	1.08%	0.73%
48	0.19%	0.22%	0.15%	0.84%	1.01%	0.68%
47	0.17%	0.2%	0.13%	0.78%	0.94%	0.63%
46	0.16%	0.19%	0.12%	0.73%	0.88%	0.59%
45	0.14%	0.18%	0.11%	0.69%	0.83%	0.56%
44	0.13%	0.17%	0.1%	0.64%	0.77%	0.52%
43	0.12%	0.15%	0.08%	0.6%	0.72%	0.49%
42	0.1%	0.13%	0.08%	0.57%	0.68%	0.47%
41	0.09%	0.11%	0.07%	0.53%	0.63%	0.44%
40	0.09%	0.11%	0.07%	0.51%	0.6%	0.42%
39	0.08%	0.1%	0.06%	0.47%	0.56%	0.39%
38	0.07%	0.1%	0.05%	0.45%	0.53%	0.37%
37	0.07%	0.09%	0.05%	0.42%	0.5%	0.34%
36	0.07%	0.09%	0.05%	0.39%	0.47%	0.33%
35	0.06%	0.08%	0.04%	0.37%	0.44%	0.31%
34	0.05%	0.07%	0.04%	0.35%	0.41%	0.29%
33	0.05%	0.07%	0.04%	0.33%	0.39%	0.27%
32	0.05%	0.07%	0.04%	0.31%	0.37%	0.25%
31	0.05%	0.07%	0.03%	0.29%	0.34%	0.24%
30	0.05%	0.06%	0.03%	0.28%	0.33%	0.23%
29	0.04%	0.06%	0.03%	0.26%	0.31%	0.21%
28	0.04%	0.05%	0.02%	0.25%	0.3%	0.2%
27	0.04%	0.05%	0.02%	0.24%	0.28%	0.19%
26	0.04%	0.05%	0.02%	0.22%	0.27%	0.18%
25	0.03%	0.05%	0.02%	0.21%	0.26%	0.17%
24	0.03%	0.05%	0.02%	0.2%	0.25%	0.16%
23	0.03%	0.05%	0.02%	0.19%	0.24%	0.15%
22	0.03%	0.05%	0.02%	0.18%	0.23%	0.14%
21	0.03%	0.04%	0.02%	0.17%	0.21%	0.13%
20	0.03%	0.04%	0.01%	0.16%	0.2%	0.13%
19	0.03%	0.04%	0.02%	0.15%	0.18%	0.12%
18	0.02%	0.03%	0.02%	0.14%	0.17%	0.11%
17	0.02%	0.02%	0.01%	0.12%	0.14%	0.1%
16	0.01%	0.02%	0.01%	0.1%	0.12%	0.09%
15	0.01%	0.01%	0.008%	0.09%	0.1%	0.08%
14	0.008%	0.009%	0.007%	0.08%	0.09%	0.07%
13	0.008%	0.009%	0.007%	0.07%	0.08%	0.06%
12	0.007%	0.008%	0.006%	0.06%	0.07%	0.06%
11	0.006%	0.007%	0.004%	0.06%	0.07%	0.05%
10	0.005%	0.006%	0.004%	0.06%	0.07%	0.05%
9	0.005%	0.006%	0.005%	0.06%	0.07%	0.06%
8	0.006%	0.006%	0.005%	0.07%	0.07%	0.06%
7	0.006%	0.007%	0.005%	0.08%	0.08%	0.07%
6	0.006%	0.007%	0.006%	0.08%	0.09%	0.08%
5	0.007%	0.007%	0.006%	0.1%	0.11%	0.09%
4	0.007%	0.007%	0.007%	0.13%	0.14%	0.12%
3	0.008%	0.007%	0.008%	0.18%	0.18%	0.17%
2	0.01%	0.009%	0.01%	0.25%	0.26%	0.25%
1	0.03%	0.03%	0.03%	0.41%	0.41%	0.4%
0	0.27%	0.3%	0.24%	2.69%	2.99%	2.38%

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

The annual chance of dying is 0.27% in the birth year in Belgium and 2.69% in Tanzania, 0.05% vs 0.28% at age 30, 0.61% vs 1.94% at 60, and 3.75% vs 8.09% at 80.

Death rate by age in Belgium vs Tanzania

Chart Table

Belgium

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	Belgium			Tanzania
	Total	Male	Female	Total	Male	Female
100	655	292.8	965	140.1	0.71	294.9
99	1,141	706	1,527	266.5	72.6	478
98	1,531	990	2,020	344	107.1	602
97	1,966	1,329	2,552	444	155.1	756
96	2,444	1,722	3,118	562	218.8	930
95	2,929	2,152	3,664	695	300	1,116
94	3,362	2,587	4,112	834	398	1,297
93	3,732	3,002	4,457	989	516	1,486
92	4,044	3,372	4,721	1,159	656	1,682
91	4,272	3,672	4,889	1,316	805	1,836
90	4,411	3,902	4,948	1,536	994	2,078
89	4,461	4,064	4,888	1,690	1,174	2,190
88	4,413	4,158	4,705	1,881	1,377	2,351
87	4,271	4,165	4,431	2,045	1,575	2,462
86	4,078	4,088	4,126	2,207	1,777	2,566
85	3,835	3,921	3,798	2,336	1,957	2,629
84	3,571	3,721	3,460	2,452	2,143	2,662
83	3,302	3,524	3,112	2,499	2,269	2,625
82	3,048	3,332	2,793	2,540	2,389	2,588
81	2,797	3,116	2,508	2,490	2,434	2,451
80	2,565	2,897	2,255	2,549	2,548	2,467
79	2,360	2,702	2,034	2,545	2,586	2,439
78	2,172	2,530	1,829	2,569	2,636	2,453
77	2,008	2,382	1,643	2,533	2,630	2,402
76	1,856	2,228	1,491	2,519	2,638	2,384
75	1,719	2,064	1,380	2,489	2,625	2,358
74	1,611	1,944	1,281	2,431	2,589	2,297
73	1,503	1,827	1,179	2,367	2,543	2,235
72	1,373	1,676	1,071	2,309	2,496	2,179
71	1,257	1,539	977	2,205	2,404	2,072
70	1,172	1,445	901	2,174	2,375	2,046
69	1,104	1,373	833	2,072	2,284	1,936
68	1,030	1,292	763	2,015	2,226	1,877
67	962	1,211	709	1,948	2,160	1,806
66	909	1,135	679	1,889	2,097	1,743
65	855	1,056	650	1,848	2,051	1,698
64	794	973	610	1,753	1,961	1,588
63	750	913	581	1,666	1,874	1,488
62	703	856	545	1,583	1,789	1,396
61	636	781	485	1,484	1,686	1,293
60	568	703	428	1,422	1,617	1,227
59	518	638	391	1,327	1,514	1,135
58	474	581	362	1,257	1,436	1,069
57	429	524	330	1,185	1,359	1,002
56	385	470	297.1	1,126	1,294	949
55	346	420	269.9	1,069	1,234	895
54	315	378	250.7	1,015	1,174	848
53	290.1	343	234.7	962	1,116	802
52	261.3	313	207.8	914	1,062	763
51	235.4	285	184.2	856	999	711
50	217.3	259.8	173.6	817	955	680
49	200.6	236.9	163.6	761	892	633
48	181.3	216.7	145.3	716	840	596
47	164.2	198.7	128.9	671	789	558
46	152.3	183.2	121	632	744	525
45	142.1	171.7	112.4	599	705	498
44	129.9	162.9	96.6	563	661	469
43	115.1	147.6	82.5	533	625	445
42	100	124.5	75.5	507	593	423
41	91.5	111.6	71.4	476	557	397
40	85.2	105.5	64.8	455	533	380
39	78.2	101.4	54.9	428	500	357
38	73	97.8	48.2	405	473	338
37	70	92.5	47.4	382	446	318
36	66.3	85.3	47.1	361	420	301
35	59.2	76	42.4	341	398	284.4
34	53.4	69.1	37.6	321	375	266.3
33	51.8	67.1	36.3	303	353	251.3
32	51.5	68	34.8	286.8	335	237.8
31	49.6	68.1	30.8	269.7	316	222.6
30	45.3	62.2	28.1	258.9	303	213.8
29	41.1	56	26	245	287.2	202.1
28	38.7	53.7	23.3	233.1	274.4	191
27	37.1	52.6	21	222.2	262.5	181.1
26	35.3	50.2	19.8	211.5	251.5	171
25	34	48.1	19.3	201.9	242.2	161.1
24	34	48.3	19	192.7	232.5	152.5
23	33.9	48.2	18.8	183.7	223.1	143.7
22	32.4	45.8	18.3	174.2	212.6	135.4
21	30.5	43.8	16.6	164	200.4	127
20	29.1	43.2	14.3	154.3	187.4	120.7
19	26.9	37.6	15.7	142.8	172.9	112.2
18	23.3	29.1	17.3	130.5	157.1	103.4
17	17.7	21	14.2	114.1	134.6	93.3
16	12.6	15	10.2	98.8	113.8	83.6
15	9.59	11.1	7.96	85	95.7	74
14	8.04	9.11	6.93	73.3	81.7	64.7
13	7.59	8.55	6.59	65.1	71.8	58.2
12	6.98	8.17	5.73	60	66.3	53.6
11	5.84	7.34	4.26	57.8	63.8	51.6
10	5.06	6.35	3.72	57.7	63	52.2
9	5.27	5.77	4.74	59.9	65.2	54.4
8	5.65	5.97	5.32	64.7	70.4	58.8
7	5.95	6.55	5.32	72.2	78.1	66.1
6	6.34	7.06	5.59	81.7	87.3	76
5	6.7	7.17	6.21	96.7	101.8	91.4
4	7.03	6.97	7.09	125.6	131.7	119.3
3	7.56	7.14	7.99	171.2	177.9	164.3
2	9.57	9.38	9.76	246.7	252.7	240.5
1	27.7	28.9	26.5	394	394	394
0	270	303	235.6	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 Belgium, the most common age of death is 89, compared to 0 in Tanzania. The median age of death is 85.8 in Belgium 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 Belgium and Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x