Life Expectancy in Belgium vs South Sudan (1950-2026)

Life expectancy by current age

Chart Table

Belgium

Male

Female

South Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	Belgium			South Sudan
	Average	Male	Female	Average	Male	Female
100	102	101.9	102	101.7	101.6	101.8
99	101.2	101.1	101.2	100.7	100.6	100.8
98	100.3	100.2	100.4	99.8	99.6	99.9
97	99.5	99.4	99.6	98.9	98.7	99
96	98.7	98.5	98.8	98.1	97.8	98.1
95	98	97.7	98	97.2	96.9	97.3
94	97.2	97	97.3	96.3	96	96.4
93	96.5	96.2	96.6	95.5	95.1	95.6
92	95.8	95.5	96	94.7	94.2	94.8
91	95.1	94.8	95.3	93.8	93.4	94
90	94.5	94.1	94.7	93	92.6	93.2
89	93.9	93.4	94.1	92.2	91.8	92.4
88	93.3	92.8	93.6	91.4	91	91.6
87	92.8	92.2	93.1	90.6	90.2	90.8
86	92.2	91.7	92.6	89.9	89.4	90.1
85	91.8	91.1	92.2	89.1	88.7	89.4
84	91.3	90.6	91.7	88.4	87.9	88.6
83	90.9	90.1	91.4	87.7	87.2	87.9
82	90.5	89.7	91	87	86.5	87.2
81	90.1	89.2	90.7	86.3	85.8	86.6
80	89.7	88.8	90.4	85.6	85.1	85.9
79	89.4	88.4	90.1	85	84.5	85.3
78	89.1	88.1	89.8	84.4	83.8	84.7
77	88.8	87.7	89.6	83.8	83.2	84.2
76	88.5	87.4	89.3	83.2	82.6	83.6
75	88.2	87	89.1	82.6	82	83.1
74	87.9	86.7	88.9	82.1	81.5	82.6
73	87.6	86.4	88.7	81.6	80.9	82.1
72	87.4	86.1	88.5	81.1	80.4	81.6
71	87.1	85.8	88.3	80.6	79.8	81.1
70	86.9	85.5	88.1	80.1	79.3	80.7
69	86.7	85.3	87.9	79.7	78.9	80.2
68	86.5	85	87.8	79.2	78.4	79.8
67	86.3	84.8	87.6	78.8	77.9	79.5
66	86.1	84.5	87.5	78.4	77.5	79.1
65	85.9	84.3	87.3	78	77.1	78.7
64	85.7	84.1	87.2	77.6	76.7	78.4
63	85.5	83.9	87	77.3	76.3	78.1
62	85.3	83.7	86.9	76.9	75.9	77.8
61	85.2	83.5	86.7	76.6	75.5	77.5
60	85	83.3	86.6	76.3	75.1	77.2
59	84.9	83.2	86.5	76	74.8	76.9
58	84.8	83	86.4	75.7	74.5	76.7
57	84.6	82.9	86.3	75.4	74.1	76.4
56	84.5	82.7	86.2	75.1	73.8	76.2
55	84.4	82.6	86.1	74.8	73.5	76
54	84.3	82.5	86	74.5	73.2	75.7
53	84.2	82.4	86	74.3	72.9	75.5
52	84.1	82.3	85.9	74	72.6	75.3
51	84.1	82.2	85.8	73.8	72.3	75.1
50	84	82.1	85.8	73.5	72	74.8
49	83.9	82	85.7	73.3	71.7	74.6
48	83.8	82	85.7	73	71.4	74.4
47	83.8	81.9	85.6	72.8	71.2	74.3
46	83.7	81.8	85.6	72.6	70.9	74.1
45	83.7	81.8	85.5	72.4	70.6	73.9
44	83.6	81.7	85.5	72.1	70.4	73.7
43	83.6	81.6	85.4	71.9	70.1	73.5
42	83.5	81.6	85.4	71.7	69.9	73.3
41	83.5	81.5	85.4	71.5	69.6	73.1
40	83.5	81.5	85.3	71.2	69.4	72.9
39	83.4	81.5	85.3	71	69.1	72.7
38	83.4	81.4	85.3	70.8	68.9	72.5
37	83.4	81.4	85.3	70.6	68.6	72.4
36	83.3	81.3	85.2	70.4	68.4	72.2
35	83.3	81.3	85.2	70.2	68.2	72
34	83.3	81.3	85.2	70	67.9	71.8
33	83.2	81.2	85.2	69.8	67.7	71.7
32	83.2	81.2	85.2	69.5	67.4	71.5
31	83.2	81.2	85.2	69.3	67.2	71.3
30	83.2	81.1	85.1	69.1	67	71.1
29	83.1	81.1	85.1	68.9	66.7	71
28	83.1	81.1	85.1	68.7	66.5	70.8
27	83.1	81.1	85.1	68.5	66.2	70.6
26	83.1	81	85.1	68.3	65.9	70.4
25	83.1	81	85.1	68	65.7	70.3
24	83	81	85.1	67.8	65.4	70.1
23	83	80.9	85.1	67.6	65.1	70
22	83	80.9	85	67.4	64.9	69.8
21	83	80.9	85	67.2	64.6	69.6
20	83	80.9	85	67	64.4	69.5
19	82.9	80.8	85	66.8	64.1	69.3
18	82.9	80.8	85	66.6	63.9	69.2
17	82.9	80.8	85	66.4	63.7	69
16	82.9	80.8	85	66.3	63.5	68.9
15	82.9	80.8	85	66.1	63.4	68.8
14	82.9	80.8	85	66	63.2	68.7
13	82.9	80.8	85	65.8	63.1	68.5
12	82.9	80.8	85	65.7	62.9	68.4
11	82.9	80.8	85	65.5	62.8	68.3
10	82.9	80.8	85	65.4	62.6	68.2
9	82.9	80.8	85	65.2	62.4	68
8	82.9	80.8	84.9	65	62.1	67.8
7	82.9	80.8	84.9	64.7	61.8	67.6
6	82.9	80.7	84.9	64.4	61.5	67.3
5	82.9	80.7	84.9	64	61.1	67
4	82.8	80.7	84.9	63.6	60.6	66.6
3	82.8	80.7	84.9	63.1	60.1	66.1
2	82.8	80.7	84.9	62.5	59.5	65.5
1	82.8	80.7	84.9	61.8	58.9	64.7
0	82.6	80.5	84.7	58	55	61

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 69.1 in South Sudan, rising to 85.9 and 78 at 65, and to 89.7 and 85.6 at 80 — higher than the 82.6 and 58 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Belgium

Male

Female

South Sudan

Male

Female

1x

Age	Survival probability
	Belgium			South Sudan
	Average	Male	Female	Average	Male	Female
100	2.23%	1.26%	3.07%	0.06%	0.02%	0.1%
99	3.37%	1.97%	4.6%	0.1%	0.03%	0.17%
98	4.9%	2.96%	6.62%	0.17%	0.05%	0.28%
97	6.87%	4.29%	9.17%	0.27%	0.1%	0.44%
96	9.32%	6.01%	12.3%	0.43%	0.16%	0.67%
95	12.2%	8.16%	16%	0.64%	0.27%	1%
94	15.6%	10.7%	20.1%	0.94%	0.44%	1.44%
93	19.3%	13.7%	24.5%	1.35%	0.67%	2.01%
92	23.4%	17.1%	29.2%	1.87%	1%	2.73%
91	27.7%	20.8%	34.1%	2.54%	1.45%	3.62%
90	32.1%	24.7%	39.1%	3.37%	2.03%	4.7%
89	36.5%	28.8%	44%	4.38%	2.76%	5.98%
88	40.9%	32.9%	48.7%	5.58%	3.65%	7.47%
87	45.2%	37.1%	53.1%	6.96%	4.7%	9.18%
86	49.3%	41.2%	57.2%	8.54%	5.92%	11.1%
85	53.1%	45.1%	61%	10.3%	7.31%	13.2%
84	56.7%	48.8%	64.5%	12.3%	8.88%	15.6%
83	60%	52.3%	67.6%	14.4%	10.6%	18%
82	63%	55.7%	70.4%	16.6%	12.5%	20.6%
81	65.8%	58.8%	72.9%	18.9%	14.5%	23.3%
80	68.4%	61.7%	75.2%	21.3%	16.6%	26.1%
79	70.8%	64.4%	77.2%	23.8%	18.8%	28.8%
78	72.9%	66.9%	79%	26.3%	21%	31.6%
77	74.9%	69.3%	80.7%	28.8%	23.3%	34.3%
76	76.8%	71.5%	82.2%	31.3%	25.6%	36.9%
75	78.5%	73.6%	83.5%	33.7%	27.9%	39.6%
74	80.1%	75.5%	84.8%	36.2%	30.2%	42.1%
73	81.6%	77.4%	86%	38.5%	32.5%	44.6%
72	83%	79%	87.1%	40.8%	34.7%	46.9%
71	84.3%	80.6%	88%	43%	36.9%	49.2%
70	85.4%	82%	88.9%	45.1%	39%	51.3%
69	86.5%	83.4%	89.8%	47.1%	41%	53.3%
68	87.6%	84.7%	90.5%	49.1%	42.9%	55.2%
67	88.5%	85.9%	91.2%	50.9%	44.8%	57%
66	89.4%	87%	91.9%	52.6%	46.6%	58.7%
65	90.3%	88.1%	92.6%	54.2%	48.3%	60.2%
64	91.1%	89.1%	93.2%	55.8%	49.9%	61.7%
63	91.8%	90%	93.8%	57.3%	51.5%	63.1%
62	92.5%	90.8%	94.3%	58.6%	53%	64.3%
61	93.2%	91.6%	94.8%	59.9%	54.4%	65.5%
60	93.7%	92.3%	95.2%	61.1%	55.7%	66.6%
59	94.3%	92.9%	95.6%	62.3%	57%	67.6%
58	94.7%	93.5%	96%	63.3%	58.2%	68.6%
57	95.2%	94.1%	96.3%	64.4%	59.3%	69.5%
56	95.6%	94.5%	96.6%	65.3%	60.4%	70.3%
55	95.9%	94.9%	96.9%	66.3%	61.5%	71.1%
54	96.2%	95.3%	97.1%	67.2%	62.5%	71.9%
53	96.5%	95.7%	97.4%	68%	63.5%	72.7%
52	96.8%	96%	97.6%	68.9%	64.5%	73.4%
51	97%	96.3%	97.8%	69.7%	65.4%	74%
50	97.2%	96.5%	97.9%	70.4%	66.3%	74.7%
49	97.4%	96.8%	98.1%	71.1%	67.1%	75.3%
48	97.6%	97%	98.2%	71.8%	67.9%	75.8%
47	97.8%	97.2%	98.4%	72.5%	68.6%	76.4%
46	97.9%	97.4%	98.5%	73.1%	69.4%	76.9%
45	98.1%	97.5%	98.6%	73.7%	70.1%	77.4%
44	98.2%	97.7%	98.7%	74.3%	70.8%	77.9%
43	98.3%	97.8%	98.8%	74.9%	71.5%	78.4%
42	98.4%	98%	98.9%	75.5%	72.1%	78.9%
41	98.5%	98.1%	98.9%	76.1%	72.8%	79.4%
40	98.6%	98.2%	99%	76.6%	73.4%	79.9%
39	98.7%	98.3%	99%	77.1%	74%	80.3%
38	98.7%	98.4%	99.1%	77.6%	74.6%	80.8%
37	98.8%	98.5%	99.1%	78.1%	75.2%	81.2%
36	98.9%	98.6%	99.2%	78.6%	75.8%	81.6%
35	98.9%	98.6%	99.2%	79.1%	76.3%	82%
34	99%	98.7%	99.3%	79.6%	76.9%	82.4%
33	99%	98.8%	99.3%	80%	77.4%	82.7%
32	99.1%	98.8%	99.3%	80.5%	77.9%	83.1%
31	99.1%	98.9%	99.4%	80.9%	78.5%	83.5%
30	99.2%	99%	99.4%	81.4%	79%	83.8%
29	99.2%	99%	99.4%	81.8%	79.5%	84.2%
28	99.3%	99.1%	99.4%	82.2%	80.1%	84.5%
27	99.3%	99.1%	99.5%	82.7%	80.6%	84.9%
26	99.3%	99.2%	99.5%	83.1%	81.1%	85.2%
25	99.4%	99.2%	99.5%	83.5%	81.6%	85.5%
24	99.4%	99.3%	99.5%	84%	82.2%	85.8%
23	99.4%	99.3%	99.5%	84.4%	82.7%	86.1%
22	99.5%	99.4%	99.6%	84.8%	83.2%	86.4%
21	99.5%	99.4%	99.6%	85.2%	83.7%	86.7%
20	99.5%	99.5%	99.6%	85.6%	84.2%	87%
19	99.6%	99.5%	99.6%	85.9%	84.7%	87.2%
18	99.6%	99.5%	99.6%	86.2%	85.1%	87.5%
17	99.6%	99.5%	99.6%	86.5%	85.4%	87.7%
16	99.6%	99.6%	99.7%	86.8%	85.7%	87.9%
15	99.6%	99.6%	99.7%	87.1%	86%	88.2%
14	99.6%	99.6%	99.7%	87.3%	86.3%	88.4%
13	99.6%	99.6%	99.7%	87.5%	86.6%	88.5%
12	99.6%	99.6%	99.7%	87.8%	86.8%	88.7%
11	99.6%	99.6%	99.7%	88%	87.1%	88.9%
10	99.6%	99.6%	99.7%	88.3%	87.4%	89.1%
9	99.7%	99.6%	99.7%	88.6%	87.8%	89.4%
8	99.7%	99.6%	99.7%	88.9%	88.2%	89.7%
7	99.7%	99.6%	99.7%	89.3%	88.6%	90%
6	99.7%	99.6%	99.7%	89.8%	89.2%	90.4%
5	99.7%	99.6%	99.7%	90.3%	89.8%	90.9%
4	99.7%	99.7%	99.7%	91%	90.6%	91.5%
3	99.7%	99.7%	99.7%	91.8%	91.4%	92.2%
2	99.7%	99.7%	99.7%	92.7%	92.3%	93.1%
1	99.7%	99.7%	99.8%	93.8%	93.3%	94.2%

This chart shows the odds of living to each age from birth. 93.7% of newborns in Belgium and 61.1% in South Sudan are expected to live past 60, 85.4% and 45.1% past 70, 68.4% and 21.3% past 80, and only 32.1% and 3.37% 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

South Sudan

Male

Female

1x

Age	Probability of dying
	Belgium			South Sudan
	Average	Male	Female	Average	Male	Female
100	36.2%	38.3%	35.7%	45.7%	49.1%	43.1%
99	33.8%	35.9%	33.2%	43.7%	47.1%	41%
98	31.2%	33.5%	30.5%	40.5%	45.5%	39.1%
97	28.6%	31%	27.8%	37.7%	43.8%	37.1%
96	26.2%	28.7%	25.4%	35.6%	41.9%	35%
95	23.9%	26.4%	23%	33.8%	39.8%	32.8%
94	21.5%	24.1%	20.5%	31.9%	37.5%	30.6%
93	19.3%	21.8%	18.2%	30%	35.2%	28.4%
92	17.3%	19.7%	16.1%	28.1%	33%	26.4%
91	15.4%	17.7%	14.3%	26.3%	30.8%	24.6%
90	13.8%	15.8%	12.7%	24.6%	28.6%	22.9%
89	12.2%	14.1%	11.1%	23%	26.4%	21.4%
88	10.8%	12.6%	9.67%	21.4%	24.3%	20%
87	9.45%	11.2%	8.34%	19.9%	22.4%	18.6%
86	8.27%	9.93%	7.21%	18.5%	20.6%	17.4%
85	7.22%	8.7%	6.22%	17.1%	19%	16.1%
84	6.3%	7.62%	5.37%	15.9%	17.6%	14.9%
83	5.5%	6.73%	4.6%	14.6%	16.3%	13.7%
82	4.83%	5.99%	3.97%	13.5%	15%	12.6%
81	4.25%	5.3%	3.44%	12.4%	13.8%	11.5%
80	3.75%	4.7%	3%	11.3%	12.7%	10.5%
79	3.34%	4.2%	2.63%	10.4%	11.7%	9.54%
78	2.98%	3.78%	2.31%	9.47%	10.7%	8.69%
77	2.68%	3.44%	2.04%	8.67%	9.8%	7.92%
76	2.42%	3.11%	1.82%	7.94%	9%	7.23%
75	2.19%	2.81%	1.65%	7.29%	8.28%	6.61%
74	2.01%	2.57%	1.51%	6.69%	7.61%	6.05%
73	1.84%	2.36%	1.37%	6.14%	6.99%	5.52%
72	1.65%	2.12%	1.23%	5.62%	6.41%	5.03%
71	1.49%	1.91%	1.11%	5.13%	5.87%	4.58%
70	1.37%	1.76%	1.01%	4.68%	5.37%	4.16%
69	1.28%	1.65%	0.93%	4.26%	4.91%	3.77%
68	1.18%	1.53%	0.84%	3.9%	4.5%	3.43%
67	1.09%	1.41%	0.78%	3.57%	4.14%	3.12%
66	1.02%	1.3%	0.74%	3.28%	3.83%	2.84%
65	0.95%	1.2%	0.7%	3.02%	3.54%	2.6%
64	0.87%	1.09%	0.65%	2.78%	3.28%	2.37%
63	0.82%	1.02%	0.62%	2.56%	3.04%	2.17%
62	0.76%	0.94%	0.58%	2.35%	2.81%	1.97%
61	0.68%	0.85%	0.51%	2.16%	2.59%	1.8%
60	0.61%	0.76%	0.45%	1.98%	2.39%	1.64%
59	0.55%	0.69%	0.41%	1.82%	2.21%	1.5%
58	0.5%	0.62%	0.38%	1.69%	2.06%	1.39%
57	0.45%	0.56%	0.34%	1.58%	1.93%	1.29%
56	0.4%	0.5%	0.31%	1.49%	1.82%	1.21%
55	0.36%	0.44%	0.28%	1.42%	1.73%	1.15%
54	0.33%	0.4%	0.26%	1.35%	1.65%	1.09%
53	0.3%	0.36%	0.24%	1.28%	1.57%	1.03%
52	0.27%	0.33%	0.21%	1.21%	1.49%	0.97%
51	0.24%	0.3%	0.19%	1.14%	1.41%	0.91%
50	0.22%	0.27%	0.18%	1.07%	1.32%	0.85%
49	0.21%	0.24%	0.17%	1%	1.24%	0.79%
48	0.19%	0.22%	0.15%	0.95%	1.17%	0.75%
47	0.17%	0.2%	0.13%	0.9%	1.11%	0.71%
46	0.16%	0.19%	0.12%	0.86%	1.06%	0.69%
45	0.14%	0.18%	0.11%	0.84%	1.02%	0.67%
44	0.13%	0.17%	0.1%	0.81%	0.99%	0.66%
43	0.12%	0.15%	0.08%	0.79%	0.96%	0.64%
42	0.1%	0.13%	0.08%	0.77%	0.92%	0.63%
41	0.09%	0.11%	0.07%	0.74%	0.89%	0.61%
40	0.09%	0.11%	0.07%	0.71%	0.85%	0.58%
39	0.08%	0.1%	0.06%	0.68%	0.82%	0.56%
38	0.07%	0.1%	0.05%	0.65%	0.79%	0.53%
37	0.07%	0.09%	0.05%	0.63%	0.76%	0.51%
36	0.07%	0.09%	0.05%	0.61%	0.74%	0.49%
35	0.06%	0.08%	0.04%	0.6%	0.73%	0.48%
34	0.05%	0.07%	0.04%	0.59%	0.71%	0.47%
33	0.05%	0.07%	0.04%	0.58%	0.7%	0.46%
32	0.05%	0.07%	0.04%	0.57%	0.69%	0.45%
31	0.05%	0.07%	0.03%	0.56%	0.68%	0.44%
30	0.05%	0.06%	0.03%	0.55%	0.67%	0.43%
29	0.04%	0.06%	0.03%	0.54%	0.66%	0.42%
28	0.04%	0.05%	0.02%	0.53%	0.65%	0.41%
27	0.04%	0.05%	0.02%	0.52%	0.65%	0.39%
26	0.04%	0.05%	0.02%	0.52%	0.65%	0.38%
25	0.03%	0.05%	0.02%	0.51%	0.65%	0.37%
24	0.03%	0.05%	0.02%	0.51%	0.65%	0.36%
23	0.03%	0.05%	0.02%	0.5%	0.65%	0.35%
22	0.03%	0.05%	0.02%	0.49%	0.63%	0.34%
21	0.03%	0.04%	0.02%	0.47%	0.61%	0.33%
20	0.03%	0.04%	0.01%	0.44%	0.57%	0.32%
19	0.03%	0.04%	0.02%	0.41%	0.52%	0.3%
18	0.02%	0.03%	0.02%	0.38%	0.47%	0.29%
17	0.02%	0.02%	0.01%	0.35%	0.42%	0.27%
16	0.01%	0.02%	0.01%	0.32%	0.37%	0.26%
15	0.01%	0.01%	0.008%	0.29%	0.34%	0.24%
14	0.008%	0.009%	0.007%	0.27%	0.31%	0.22%
13	0.008%	0.009%	0.007%	0.26%	0.3%	0.22%
12	0.007%	0.008%	0.006%	0.26%	0.3%	0.22%
11	0.006%	0.007%	0.004%	0.27%	0.32%	0.22%
10	0.005%	0.006%	0.004%	0.3%	0.35%	0.24%
9	0.005%	0.006%	0.005%	0.34%	0.4%	0.27%
8	0.006%	0.006%	0.005%	0.39%	0.47%	0.31%
7	0.006%	0.007%	0.005%	0.45%	0.54%	0.36%
6	0.006%	0.007%	0.006%	0.53%	0.63%	0.43%
5	0.007%	0.007%	0.006%	0.62%	0.71%	0.53%
4	0.007%	0.007%	0.007%	0.73%	0.8%	0.65%
3	0.008%	0.007%	0.008%	0.85%	0.9%	0.8%
2	0.01%	0.009%	0.01%	0.99%	0.99%	0.98%
1	0.03%	0.03%	0.03%	1.16%	1.1%	1.22%
0	0.27%	0.3%	0.24%	6.22%	6.67%	5.75%

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

The annual chance of dying is 0.27% in the birth year in Belgium and 6.22% in South Sudan, 0.05% vs 0.55% at age 30, 0.61% vs 1.98% at 60, and 3.75% vs 11.3% at 80.

Death rate by age in Belgium vs South Sudan

Chart Table

Belgium

Male

Female

South Sudan

Male

Female

1x

Age	Death rate
	Belgium			South Sudan
	Total	Male	Female	Total	Male	Female
100	655	292.8	965	0	0	0
99	1,141	706	1,527	44.4	13.7	68.6
98	1,531	990	2,020	69.1	24.4	107.5
97	1,966	1,329	2,552	103.4	41.7	162.1
96	2,444	1,722	3,118	151.7	68.7	235
95	2,929	2,152	3,664	217.2	108.2	328
94	3,362	2,587	4,112	301	163.5	440
93	3,732	3,002	4,457	404	237	571
92	4,044	3,372	4,721	527	331	722
91	4,272	3,672	4,889	670	447	890
90	4,411	3,902	4,948	831	582	1,077
89	4,461	4,064	4,888	1,007	729	1,279
88	4,413	4,158	4,705	1,193	887	1,492
87	4,271	4,165	4,431	1,386	1,052	1,712
86	4,078	4,088	4,126	1,579	1,221	1,929
85	3,835	3,921	3,798	1,767	1,392	2,135
84	3,571	3,721	3,460	1,944	1,562	2,321
83	3,302	3,524	3,112	2,103	1,725	2,478
82	3,048	3,332	2,793	2,237	1,874	2,600
81	2,797	3,116	2,508	2,342	2,003	2,685
80	2,565	2,897	2,255	2,417	2,108	2,734
79	2,360	2,702	2,034	2,465	2,188	2,750
78	2,172	2,530	1,829	2,490	2,246	2,742
77	2,008	2,382	1,643	2,497	2,284	2,714
76	1,856	2,228	1,491	2,485	2,305	2,672
75	1,719	2,064	1,380	2,459	2,311	2,615
74	1,611	1,944	1,281	2,419	2,300	2,546
73	1,503	1,827	1,179	2,364	2,272	2,461
72	1,373	1,676	1,071	2,292	2,226	2,363
71	1,257	1,539	977	2,207	2,164	2,252
70	1,172	1,445	901	2,111	2,091	2,133
69	1,104	1,373	833	2,011	2,013	2,011
68	1,030	1,292	763	1,911	1,933	1,891
67	962	1,211	709	1,815	1,855	1,777
66	909	1,135	679	1,724	1,782	1,668
65	855	1,056	650	1,636	1,710	1,565
64	794	973	610	1,551	1,639	1,464
63	750	913	581	1,465	1,565	1,366
62	703	856	545	1,378	1,488	1,270
61	636	781	485	1,292	1,409	1,178
60	568	703	428	1,210	1,332	1,092
59	518	638	391	1,136	1,260	1,015
58	474	581	362	1,072	1,197	950
57	429	524	330	1,018	1,145	896
56	385	470	297.1	976	1,102	853
55	346	420	269.9	939	1,066	816
54	315	378	250.7	906	1,033	782
53	290.1	343	234.7	872	999	748
52	261.3	313	207.8	835	961	711
51	235.4	285	184.2	795	919	672
50	217.3	259.8	173.6	753	875	633
49	200.6	236.9	163.6	713	832	596
48	181.3	216.7	145.3	679	794	566
47	164.2	198.7	128.9	651	762	543
46	152.3	183.2	121	631	737	528
45	142.1	171.7	112.4	616	717	519
44	129.9	162.9	96.6	604	700	512
43	115.1	147.6	82.5	593	685	506
42	100	124.5	75.5	580	667	496
41	91.5	111.6	71.4	564	648	483
40	85.2	105.5	64.8	545	628	467
39	78.2	101.4	54.9	526	608	449
38	73	97.8	48.2	508	590	431
37	70	92.5	47.4	493	575	415
36	66.3	85.3	47.1	481	563	402
35	59.2	76	42.4	473	555	392
34	53.4	69.1	37.6	466	549	384
33	51.8	67.1	36.3	461	544	377
32	51.5	68	34.8	456	538	372
31	49.6	68.1	30.8	451	533	366
30	45.3	62.2	28.1	446	527	359
29	41.1	56	26	440	523	352
28	38.7	53.7	23.3	436	522	344
27	37.1	52.6	21	432	523	335
26	35.3	50.2	19.8	429	527	325
25	34	48.1	19.3	427	532	316
24	34	48.3	19	424	536	307
23	33.9	48.2	18.8	420	535	298.4
22	32.4	45.8	18.3	412	527	290.7
21	30.5	43.8	16.6	398	508	283.3
20	29.1	43.2	14.3	379	478	275.1
19	26.9	37.6	15.7	354	439	265.4
18	23.3	29.1	17.3	327	397	253.5
17	17.7	21	14.2	299.3	357	239.3
16	12.6	15	10.2	273.6	321	224.4
15	9.59	11.1	7.96	251.3	290.8	210.1
14	8.04	9.11	6.93	235.1	270	198.7
13	7.59	8.55	6.59	226.8	260.1	192
12	6.98	8.17	5.73	227.9	262.8	191.3
11	5.84	7.34	4.26	239.4	279	198.2
10	5.06	6.35	3.72	262	309	213.5
9	5.27	5.77	4.74	296.8	353	238.8
8	5.65	5.97	5.32	344	411	275.7
7	5.95	6.55	5.32	404	480	326
6	6.34	7.06	5.59	477	558	393
5	6.7	7.17	6.21	561	641	479
4	7.03	6.97	7.09	660	727	591
3	7.56	7.14	7.99	776	818	733
2	9.57	9.38	9.76	915	916	915
1	27.7	28.9	26.5	1,086	1,027	1,147
0	270	303	235.6	6,215	6,667	5,754

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 South Sudan. The median age of death is 85.8 in Belgium and 67.5 in South Sudan, 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 South Sudan more than their death rates.

Life expectancy in other countries

+ -

1x