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

Life expectancy by current age

Chart Table

Singapore

Male

Female

South Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	Singapore			South Sudan
	Average	Male	Female	Average	Male	Female
100	102.7	102.3	102.9	101.7	101.6	101.8
99	101.9	101.5	102.1	100.7	100.6	100.8
98	101.1	100.7	101.3	99.8	99.6	99.9
97	100.3	99.9	100.5	98.9	98.7	99
96	99.6	99.1	99.8	98.1	97.8	98.1
95	98.8	98.3	99	97.2	96.9	97.3
94	98.1	97.6	98.3	96.3	96	96.4
93	97.4	96.8	97.7	95.5	95.1	95.6
92	96.7	96.1	97	94.7	94.2	94.8
91	96.1	95.4	96.4	93.8	93.4	94
90	95.5	94.7	95.8	93	92.6	93.2
89	94.8	94.1	95.3	92.2	91.8	92.4
88	94.3	93.5	94.7	91.4	91	91.6
87	93.7	92.9	94.2	90.6	90.2	90.8
86	93.2	92.3	93.7	89.9	89.4	90.1
85	92.7	91.7	93.3	89.1	88.7	89.4
84	92.2	91.2	92.9	88.4	87.9	88.6
83	91.7	90.7	92.5	87.7	87.2	87.9
82	91.3	90.2	92.1	87	86.5	87.2
81	90.9	89.8	91.7	86.3	85.8	86.6
80	90.5	89.3	91.4	85.6	85.1	85.9
79	90.1	88.9	91.1	85	84.5	85.3
78	89.8	88.5	90.8	84.4	83.8	84.7
77	89.5	88.1	90.5	83.8	83.2	84.2
76	89.1	87.7	90.3	83.2	82.6	83.6
75	88.8	87.4	90.1	82.6	82	83.1
74	88.6	87.1	89.8	82.1	81.5	82.6
73	88.3	86.7	89.7	81.6	80.9	82.1
72	88.1	86.4	89.5	81.1	80.4	81.6
71	87.8	86.1	89.3	80.6	79.8	81.1
70	87.6	85.9	89.2	80.1	79.3	80.7
69	87.4	85.6	89	79.7	78.9	80.2
68	87.2	85.4	88.9	79.2	78.4	79.8
67	87	85.2	88.7	78.8	77.9	79.5
66	86.9	85	88.6	78.4	77.5	79.1
65	86.7	84.8	88.5	78	77.1	78.7
64	86.6	84.6	88.4	77.6	76.7	78.4
63	86.4	84.4	88.3	77.3	76.3	78.1
62	86.3	84.3	88.2	76.9	75.9	77.8
61	86.2	84.1	88.1	76.6	75.5	77.5
60	86	84	88	76.3	75.1	77.2
59	85.9	83.8	87.9	76	74.8	76.9
58	85.8	83.7	87.9	75.7	74.5	76.7
57	85.7	83.6	87.8	75.4	74.1	76.4
56	85.6	83.5	87.7	75.1	73.8	76.2
55	85.5	83.3	87.6	74.8	73.5	76
54	85.4	83.2	87.6	74.5	73.2	75.7
53	85.4	83.2	87.5	74.3	72.9	75.5
52	85.3	83.1	87.5	74	72.6	75.3
51	85.2	83	87.4	73.8	72.3	75.1
50	85.2	82.9	87.4	73.5	72	74.8
49	85.1	82.8	87.3	73.3	71.7	74.6
48	85	82.8	87.3	73	71.4	74.4
47	85	82.7	87.2	72.8	71.2	74.3
46	85	82.7	87.2	72.6	70.9	74.1
45	84.9	82.6	87.2	72.4	70.6	73.9
44	84.9	82.6	87.1	72.1	70.4	73.7
43	84.8	82.5	87.1	71.9	70.1	73.5
42	84.8	82.5	87.1	71.7	69.9	73.3
41	84.8	82.4	87.1	71.5	69.6	73.1
40	84.7	82.4	87.1	71.2	69.4	72.9
39	84.7	82.4	87	71	69.1	72.7
38	84.7	82.4	87	70.8	68.9	72.5
37	84.7	82.3	87	70.6	68.6	72.4
36	84.7	82.3	87	70.4	68.4	72.2
35	84.6	82.3	87	70.2	68.2	72
34	84.6	82.3	87	70	67.9	71.8
33	84.6	82.2	87	69.8	67.7	71.7
32	84.6	82.2	86.9	69.5	67.4	71.5
31	84.6	82.2	86.9	69.3	67.2	71.3
30	84.5	82.2	86.9	69.1	67	71.1
29	84.5	82.2	86.9	68.9	66.7	71
28	84.5	82.1	86.9	68.7	66.5	70.8
27	84.5	82.1	86.9	68.5	66.2	70.6
26	84.5	82.1	86.9	68.3	65.9	70.4
25	84.5	82.1	86.9	68	65.7	70.3
24	84.5	82.1	86.9	67.8	65.4	70.1
23	84.5	82.1	86.9	67.6	65.1	70
22	84.4	82	86.9	67.4	64.9	69.8
21	84.4	82	86.8	67.2	64.6	69.6
20	84.4	82	86.8	67	64.4	69.5
19	84.4	82	86.8	66.8	64.1	69.3
18	84.4	82	86.8	66.6	63.9	69.2
17	84.4	82	86.8	66.4	63.7	69
16	84.4	81.9	86.8	66.3	63.5	68.9
15	84.4	81.9	86.8	66.1	63.4	68.8
14	84.3	81.9	86.8	66	63.2	68.7
13	84.3	81.9	86.8	65.8	63.1	68.5
12	84.3	81.9	86.8	65.7	62.9	68.4
11	84.3	81.9	86.8	65.5	62.8	68.3
10	84.3	81.9	86.8	65.4	62.6	68.2
9	84.3	81.9	86.8	65.2	62.4	68
8	84.3	81.9	86.8	65	62.1	67.8
7	84.3	81.9	86.8	64.7	61.8	67.6
6	84.3	81.9	86.8	64.4	61.5	67.3
5	84.3	81.9	86.8	64	61.1	67
4	84.3	81.9	86.8	63.6	60.6	66.6
3	84.3	81.9	86.7	63.1	60.1	66.1
2	84.3	81.8	86.7	62.5	59.5	65.5
1	84.3	81.8	86.7	61.8	58.9	64.7
0	84.1	81.7	86.6	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 Singapore can expect to live to 84.5 years compared to 69.1 in South Sudan, rising to 86.7 and 78 at 65, and to 90.5 and 85.6 at 80 — higher than the 84.1 and 58 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Singapore

Male

Female

South Sudan

Male

Female

1x

Age	Survival probability
	Singapore			South Sudan
	Average	Male	Female	Average	Male	Female
100	4.99%	2.55%	7.25%	0.06%	0.02%	0.1%
99	6.71%	3.6%	9.59%	0.1%	0.03%	0.17%
98	8.78%	4.95%	12.4%	0.17%	0.05%	0.28%
97	11.2%	6.62%	15.5%	0.27%	0.1%	0.44%
96	14%	8.64%	19.1%	0.43%	0.16%	0.67%
95	17.1%	11%	22.9%	0.64%	0.27%	1%
94	20.5%	13.7%	27%	0.94%	0.44%	1.44%
93	24.2%	16.7%	31.3%	1.35%	0.67%	2.01%
92	28%	20%	35.7%	1.87%	1%	2.73%
91	32%	23.6%	40.2%	2.54%	1.45%	3.62%
90	36.1%	27.3%	44.6%	3.37%	2.03%	4.7%
89	40.2%	31.2%	49%	4.38%	2.76%	5.98%
88	44.2%	35.1%	53.2%	5.58%	3.65%	7.47%
87	48.2%	39%	57.2%	6.96%	4.7%	9.18%
86	52%	42.9%	61%	8.54%	5.92%	11.1%
85	55.6%	46.7%	64.5%	10.3%	7.31%	13.2%
84	59.1%	50.4%	67.8%	12.3%	8.88%	15.6%
83	62.4%	54%	70.9%	14.4%	10.6%	18%
82	65.5%	57.4%	73.7%	16.6%	12.5%	20.6%
81	68.3%	60.6%	76.3%	18.9%	14.5%	23.3%
80	71%	63.6%	78.6%	21.3%	16.6%	26.1%
79	73.5%	66.5%	80.7%	23.8%	18.8%	28.8%
78	75.7%	69.1%	82.6%	26.3%	21%	31.6%
77	77.8%	71.6%	84.3%	28.8%	23.3%	34.3%
76	79.8%	74%	85.8%	31.3%	25.6%	36.9%
75	81.5%	76.2%	87.1%	33.7%	27.9%	39.6%
74	83.2%	78.2%	88.3%	36.2%	30.2%	42.1%
73	84.6%	80.1%	89.4%	38.5%	32.5%	44.6%
72	86%	81.9%	90.3%	40.8%	34.7%	46.9%
71	87.2%	83.4%	91.2%	43%	36.9%	49.2%
70	88.3%	84.9%	91.9%	45.1%	39%	51.3%
69	89.3%	86.2%	92.6%	47.1%	41%	53.3%
68	90.2%	87.4%	93.2%	49.1%	42.9%	55.2%
67	91%	88.4%	93.8%	50.9%	44.8%	57%
66	91.8%	89.4%	94.3%	52.6%	46.6%	58.7%
65	92.4%	90.3%	94.7%	54.2%	48.3%	60.2%
64	93.1%	91.1%	95.2%	55.8%	49.9%	61.7%
63	93.7%	91.9%	95.6%	57.3%	51.5%	63.1%
62	94.2%	92.6%	95.9%	58.6%	53%	64.3%
61	94.7%	93.2%	96.2%	59.9%	54.4%	65.5%
60	95.1%	93.8%	96.5%	61.1%	55.7%	66.6%
59	95.5%	94.3%	96.8%	62.3%	57%	67.6%
58	95.9%	94.8%	97.1%	63.3%	58.2%	68.6%
57	96.3%	95.3%	97.3%	64.4%	59.3%	69.5%
56	96.6%	95.7%	97.6%	65.3%	60.4%	70.3%
55	96.9%	96%	97.8%	66.3%	61.5%	71.1%
54	97.1%	96.4%	98%	67.2%	62.5%	71.9%
53	97.4%	96.7%	98.1%	68%	63.5%	72.7%
52	97.6%	97%	98.3%	68.9%	64.5%	73.4%
51	97.8%	97.2%	98.4%	69.7%	65.4%	74%
50	98%	97.4%	98.6%	70.4%	66.3%	74.7%
49	98.1%	97.6%	98.7%	71.1%	67.1%	75.3%
48	98.3%	97.8%	98.8%	71.8%	67.9%	75.8%
47	98.4%	98%	98.9%	72.5%	68.6%	76.4%
46	98.5%	98.1%	99%	73.1%	69.4%	76.9%
45	98.6%	98.2%	99%	73.7%	70.1%	77.4%
44	98.7%	98.4%	99.1%	74.3%	70.8%	77.9%
43	98.8%	98.5%	99.2%	74.9%	71.5%	78.4%
42	98.9%	98.6%	99.2%	75.5%	72.1%	78.9%
41	98.9%	98.7%	99.3%	76.1%	72.8%	79.4%
40	99%	98.8%	99.3%	76.6%	73.4%	79.9%
39	99.1%	98.8%	99.3%	77.1%	74%	80.3%
38	99.1%	98.9%	99.4%	77.6%	74.6%	80.8%
37	99.2%	98.9%	99.4%	78.1%	75.2%	81.2%
36	99.2%	99%	99.4%	78.6%	75.8%	81.6%
35	99.2%	99.1%	99.5%	79.1%	76.3%	82%
34	99.3%	99.1%	99.5%	79.6%	76.9%	82.4%
33	99.3%	99.1%	99.5%	80%	77.4%	82.7%
32	99.3%	99.2%	99.5%	80.5%	77.9%	83.1%
31	99.4%	99.2%	99.5%	80.9%	78.5%	83.5%
30	99.4%	99.3%	99.6%	81.4%	79%	83.8%
29	99.4%	99.3%	99.6%	81.8%	79.5%	84.2%
28	99.5%	99.3%	99.6%	82.2%	80.1%	84.5%
27	99.5%	99.4%	99.6%	82.7%	80.6%	84.9%
26	99.5%	99.4%	99.6%	83.1%	81.1%	85.2%
25	99.5%	99.4%	99.6%	83.5%	81.6%	85.5%
24	99.6%	99.5%	99.7%	84%	82.2%	85.8%
23	99.6%	99.5%	99.7%	84.4%	82.7%	86.1%
22	99.6%	99.5%	99.7%	84.8%	83.2%	86.4%
21	99.6%	99.5%	99.7%	85.2%	83.7%	86.7%
20	99.6%	99.6%	99.7%	85.6%	84.2%	87%
19	99.7%	99.6%	99.7%	85.9%	84.7%	87.2%
18	99.7%	99.6%	99.7%	86.2%	85.1%	87.5%
17	99.7%	99.6%	99.7%	86.5%	85.4%	87.7%
16	99.7%	99.7%	99.8%	86.8%	85.7%	87.9%
15	99.7%	99.7%	99.8%	87.1%	86%	88.2%
14	99.7%	99.7%	99.8%	87.3%	86.3%	88.4%
13	99.7%	99.7%	99.8%	87.5%	86.6%	88.5%
12	99.7%	99.7%	99.8%	87.8%	86.8%	88.7%
11	99.8%	99.7%	99.8%	88%	87.1%	88.9%
10	99.8%	99.7%	99.8%	88.3%	87.4%	89.1%
9	99.8%	99.7%	99.8%	88.6%	87.8%	89.4%
8	99.8%	99.7%	99.8%	88.9%	88.2%	89.7%
7	99.8%	99.7%	99.8%	89.3%	88.6%	90%
6	99.8%	99.8%	99.8%	89.8%	89.2%	90.4%
5	99.8%	99.8%	99.8%	90.3%	89.8%	90.9%
4	99.8%	99.8%	99.8%	91%	90.6%	91.5%
3	99.8%	99.8%	99.8%	91.8%	91.4%	92.2%
2	99.8%	99.8%	99.8%	92.7%	92.3%	93.1%
1	99.8%	99.8%	99.9%	93.8%	93.3%	94.2%

This chart shows the odds of living to each age from birth. 95.1% of newborns in Singapore and 61.1% in South Sudan are expected to live past 60, 88.3% and 45.1% past 70, 71% and 21.3% past 80, and only 36.1% 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

Singapore

Male

Female

South Sudan

Male

Female

1x

Age	Probability of dying
	Singapore			South Sudan
	Average	Male	Female	Average	Male	Female
100	27.4%	31.2%	26.3%	45.7%	49.1%	43.1%
99	25.6%	29.3%	24.5%	43.7%	47.1%	41%
98	23.6%	27.2%	22.4%	40.5%	45.5%	39.1%
97	21.7%	25.3%	20.4%	37.7%	43.8%	37.1%
96	19.9%	23.3%	18.6%	35.6%	41.9%	35%
95	18.2%	21.4%	16.8%	33.8%	39.8%	32.8%
94	16.6%	19.7%	15.2%	31.9%	37.5%	30.6%
93	15.1%	18.1%	13.7%	30%	35.2%	28.4%
92	13.8%	16.6%	12.4%	28.1%	33%	26.4%
91	12.5%	15.1%	11.1%	26.3%	30.8%	24.6%
90	11.3%	13.7%	9.95%	24.6%	28.6%	22.9%
89	10.2%	12.4%	8.88%	23%	26.4%	21.4%
88	9.15%	11.2%	7.9%	21.4%	24.3%	20%
87	8.18%	10%	7.02%	19.9%	22.4%	18.6%
86	7.32%	9.04%	6.22%	18.5%	20.6%	17.4%
85	6.55%	8.13%	5.51%	17.1%	19%	16.1%
84	5.87%	7.32%	4.87%	15.9%	17.6%	14.9%
83	5.27%	6.58%	4.31%	14.6%	16.3%	13.7%
82	4.71%	5.91%	3.8%	13.5%	15%	12.6%
81	4.2%	5.31%	3.35%	12.4%	13.8%	11.5%
80	3.75%	4.77%	2.95%	11.3%	12.7%	10.5%
79	3.35%	4.29%	2.6%	10.4%	11.7%	9.54%
78	3%	3.87%	2.28%	9.47%	10.7%	8.69%
77	2.69%	3.5%	2.01%	8.67%	9.8%	7.92%
76	2.42%	3.17%	1.76%	7.94%	9%	7.23%
75	2.17%	2.88%	1.54%	7.29%	8.28%	6.61%
74	1.95%	2.61%	1.35%	6.69%	7.61%	6.05%
73	1.75%	2.36%	1.19%	6.14%	6.99%	5.52%
72	1.56%	2.12%	1.05%	5.62%	6.41%	5.03%
71	1.39%	1.9%	0.93%	5.13%	5.87%	4.58%
70	1.24%	1.7%	0.83%	4.68%	5.37%	4.16%
69	1.12%	1.51%	0.74%	4.26%	4.91%	3.77%
68	1%	1.35%	0.66%	3.9%	4.5%	3.43%
67	0.9%	1.21%	0.59%	3.57%	4.14%	3.12%
66	0.82%	1.09%	0.54%	3.28%	3.83%	2.84%
65	0.74%	0.99%	0.49%	3.02%	3.54%	2.6%
64	0.68%	0.9%	0.44%	2.78%	3.28%	2.37%
63	0.62%	0.82%	0.41%	2.56%	3.04%	2.17%
62	0.56%	0.75%	0.37%	2.35%	2.81%	1.97%
61	0.52%	0.68%	0.34%	2.16%	2.59%	1.8%
60	0.47%	0.62%	0.32%	1.98%	2.39%	1.64%
59	0.43%	0.57%	0.29%	1.82%	2.21%	1.5%
58	0.4%	0.52%	0.27%	1.69%	2.06%	1.39%
57	0.36%	0.47%	0.25%	1.58%	1.93%	1.29%
56	0.33%	0.43%	0.23%	1.49%	1.82%	1.21%
55	0.3%	0.39%	0.21%	1.42%	1.73%	1.15%
54	0.27%	0.35%	0.19%	1.35%	1.65%	1.09%
53	0.25%	0.31%	0.18%	1.28%	1.57%	1.03%
52	0.22%	0.28%	0.16%	1.21%	1.49%	0.97%
51	0.2%	0.25%	0.15%	1.14%	1.41%	0.91%
50	0.18%	0.23%	0.13%	1.07%	1.32%	0.85%
49	0.16%	0.2%	0.12%	1%	1.24%	0.79%
48	0.14%	0.18%	0.11%	0.95%	1.17%	0.75%
47	0.13%	0.16%	0.1%	0.9%	1.11%	0.71%
46	0.12%	0.15%	0.09%	0.86%	1.06%	0.69%
45	0.11%	0.14%	0.08%	0.84%	1.02%	0.67%
44	0.1%	0.12%	0.07%	0.81%	0.99%	0.66%
43	0.09%	0.11%	0.06%	0.79%	0.96%	0.64%
42	0.08%	0.1%	0.05%	0.77%	0.92%	0.63%
41	0.07%	0.09%	0.05%	0.74%	0.89%	0.61%
40	0.06%	0.08%	0.04%	0.71%	0.85%	0.58%
39	0.06%	0.07%	0.04%	0.68%	0.82%	0.56%
38	0.05%	0.07%	0.03%	0.65%	0.79%	0.53%
37	0.05%	0.06%	0.03%	0.63%	0.76%	0.51%
36	0.04%	0.05%	0.03%	0.61%	0.74%	0.49%
35	0.04%	0.05%	0.03%	0.6%	0.73%	0.48%
34	0.04%	0.05%	0.02%	0.59%	0.71%	0.47%
33	0.03%	0.04%	0.02%	0.58%	0.7%	0.46%
32	0.03%	0.04%	0.02%	0.57%	0.69%	0.45%
31	0.03%	0.04%	0.02%	0.56%	0.68%	0.44%
30	0.03%	0.04%	0.02%	0.55%	0.67%	0.43%
29	0.03%	0.04%	0.02%	0.54%	0.66%	0.42%
28	0.03%	0.03%	0.02%	0.53%	0.65%	0.41%
27	0.02%	0.03%	0.02%	0.52%	0.65%	0.39%
26	0.02%	0.03%	0.01%	0.52%	0.65%	0.38%
25	0.02%	0.03%	0.01%	0.51%	0.65%	0.37%
24	0.02%	0.03%	0.01%	0.51%	0.65%	0.36%
23	0.02%	0.03%	0.01%	0.5%	0.65%	0.35%
22	0.02%	0.03%	0.01%	0.49%	0.63%	0.34%
21	0.02%	0.03%	0.01%	0.47%	0.61%	0.33%
20	0.02%	0.03%	0.01%	0.44%	0.57%	0.32%
19	0.02%	0.03%	0.01%	0.41%	0.52%	0.3%
18	0.02%	0.02%	0.01%	0.38%	0.47%	0.29%
17	0.02%	0.02%	0.01%	0.35%	0.42%	0.27%
16	0.02%	0.02%	0.01%	0.32%	0.37%	0.26%
15	0.01%	0.02%	0.01%	0.29%	0.34%	0.24%
14	0.01%	0.01%	0.009%	0.27%	0.31%	0.22%
13	0.01%	0.01%	0.008%	0.26%	0.3%	0.22%
12	0.008%	0.01%	0.007%	0.26%	0.3%	0.22%
11	0.007%	0.008%	0.006%	0.27%	0.32%	0.22%
10	0.006%	0.007%	0.005%	0.3%	0.35%	0.24%
9	0.005%	0.006%	0.004%	0.34%	0.4%	0.27%
8	0.005%	0.006%	0.004%	0.39%	0.47%	0.31%
7	0.005%	0.006%	0.004%	0.45%	0.54%	0.36%
6	0.005%	0.006%	0.004%	0.53%	0.63%	0.43%
5	0.006%	0.007%	0.004%	0.62%	0.71%	0.53%
4	0.007%	0.008%	0.006%	0.73%	0.8%	0.65%
3	0.009%	0.01%	0.008%	0.85%	0.9%	0.8%
2	0.01%	0.01%	0.01%	0.99%	0.99%	0.98%
1	0.02%	0.02%	0.02%	1.16%	1.1%	1.22%
0	0.17%	0.19%	0.14%	6.22%	6.67%	5.75%

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

The annual chance of dying is 0.17% in the birth year in Singapore and 6.22% in South Sudan, 0.03% vs 0.55% at age 30, 0.47% vs 1.98% at 60, and 3.75% vs 11.3% at 80.

Death rate by age in Singapore vs South Sudan

Chart Table

Singapore

Male

Female

South Sudan

Male

Female

1x

Age	Death rate
	Singapore			South Sudan
	Total	Male	Female	Total	Male	Female
100	1,375	708	2,002	0	0	0
99	1,718	1,055	2,345	44.4	13.7	68.6
98	2,071	1,349	2,766	69.1	24.4	107.5
97	2,433	1,673	3,170	103.4	41.7	162.1
96	2,786	2,015	3,537	151.7	68.7	235
95	3,109	2,358	3,843	217.2	108.2	328
94	3,402	2,698	4,098	301	163.5	440
93	3,651	3,024	4,291	404	237	571
92	3,852	3,319	4,419	527	331	722
91	3,998	3,565	4,473	670	447	890
90	4,078	3,743	4,442	831	582	1,077
89	4,096	3,860	4,349	1,007	729	1,279
88	4,046	3,920	4,204	1,193	887	1,492
87	3,941	3,923	4,013	1,386	1,052	1,712
86	3,806	3,881	3,793	1,579	1,221	1,929
85	3,646	3,801	3,554	1,767	1,392	2,135
84	3,470	3,689	3,306	1,944	1,562	2,321
83	3,286	3,550	3,053	2,103	1,725	2,478
82	3,084	3,390	2,802	2,237	1,874	2,600
81	2,873	3,214	2,556	2,342	2,003	2,685
80	2,666	3,031	2,319	2,417	2,108	2,734
79	2,465	2,850	2,096	2,465	2,188	2,750
78	2,274	2,675	1,886	2,490	2,246	2,742
77	2,096	2,508	1,689	2,497	2,284	2,714
76	1,927	2,348	1,508	2,485	2,305	2,672
75	1,767	2,194	1,343	2,459	2,311	2,615
74	1,619	2,043	1,196	2,419	2,300	2,546
73	1,480	1,891	1,065	2,364	2,272	2,461
72	1,345	1,738	949	2,292	2,226	2,363
71	1,215	1,586	848	2,207	2,164	2,252
70	1,098	1,439	759	2,111	2,091	2,133
69	996	1,303	682	2,011	2,013	2,011
68	905	1,180	615	1,911	1,933	1,891
67	822	1,071	557	1,815	1,855	1,777
66	749	977	506	1,724	1,782	1,668
65	685	894	462	1,636	1,710	1,565
64	628	821	423	1,551	1,639	1,464
63	578	755	389	1,465	1,565	1,366
62	532	694	359	1,378	1,488	1,270
61	489	638	331	1,292	1,409	1,178
60	450	585	307	1,210	1,332	1,092
59	413	535	284.1	1,136	1,260	1,015
58	379	490	263.2	1,072	1,197	950
57	347	447	243.5	1,018	1,145	896
56	318	408	224.9	976	1,102	853
55	290.8	371	207	939	1,066	816
54	265.1	337	189.9	906	1,033	782
53	240.5	304	173.4	872	999	748
52	217.2	273.9	157.6	835	961	711
51	195.5	245.8	142.8	795	919	672
50	175.7	220.2	128.9	753	875	633
49	157.8	197.6	116.1	713	832	596
48	142.1	178	104.5	679	794	566
47	128.5	161.4	94.1	651	762	543
46	116.6	147	84.6	631	737	528
45	106	134.4	75.9	616	717	519
44	96	122.6	67.8	604	700	512
43	86.6	111.5	60.1	593	685	506
42	77.7	100.6	53	580	667	496
41	69.3	90.3	46.5	564	648	483
40	61.8	80.7	40.9	545	628	467
39	55.2	72.2	36.2	526	608	449
38	49.6	65	32.4	508	590	431
37	45.2	59.1	29.6	493	575	415
36	41.8	54.3	27.4	481	563	402
35	39.1	50.5	25.8	473	555	392
34	36.7	47.3	24.4	466	549	384
33	34.7	44.5	23	461	544	377
32	32.7	41.9	21.6	456	538	372
31	30.7	39.5	20.1	451	533	366
30	28.8	37.2	18.6	446	527	359
29	27.1	35	17.2	440	523	352
28	25.6	33.2	16.1	436	522	344
27	24.4	31.7	15.2	432	523	335
26	23.5	30.6	14.6	429	527	325
25	22.8	29.8	14.2	427	532	316
24	22.3	29.2	13.8	424	536	307
23	21.9	28.8	13.5	420	535	298.4
22	21.5	28.5	13.1	412	527	290.7
21	21	28.1	12.7	398	508	283.3
20	20.3	27.5	12.1	379	478	275.1
19	19.4	26.3	11.6	354	439	265.4
18	18.2	24.5	11.1	327	397	253.5
17	16.7	22.3	10.7	299.3	357	239.3
16	15.1	19.6	10.2	273.6	321	224.4
15	13.3	16.7	9.71	251.3	290.8	210.1
14	11.6	14	8.96	235.1	270	198.7
13	9.84	11.6	7.95	226.8	260.1	192
12	8.25	9.63	6.8	227.9	262.8	191.3
11	6.9	8.1	5.64	239.4	279	198.2
10	5.86	6.99	4.67	262	309	213.5
9	5.15	6.29	3.97	296.8	353	238.8
8	4.79	5.95	3.58	344	411	275.7
7	4.75	5.96	3.5	404	480	326
6	5.08	6.34	3.77	477	558	393
5	5.83	7.13	4.47	561	641	479
4	7.11	8.39	5.79	660	727	591
3	9.12	10.2	7.97	776	818	733
2	12.1	12.7	11.5	915	916	915
1	16.5	15.9	17.1	1,086	1,027	1,147
0	168.8	194.6	141.6	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 Singapore, the most common age of death is 89, compared to 0 in South Sudan. The median age of death is 86.5 in Singapore 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 Singapore and South Sudan more than their death rates.

Life expectancy in other countries

+ -

1x