Life Expectancy in Singapore vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Singapore

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	Singapore			Tanzania
	Average	Male	Female	Average	Male	Female
100	102.7	102.3	102.9	102.5	101.9	102.6
99	101.9	101.5	102.1	101.7	101	101.7
98	101.1	100.7	101.3	100.8	100.1	100.9
97	100.3	99.9	100.5	100	99.2	100.1
96	99.6	99.1	99.8	99.1	98.4	99.3
95	98.8	98.3	99	98.3	97.5	98.4
94	98.1	97.6	98.3	97.4	96.6	97.7
93	97.4	96.8	97.7	96.6	95.8	96.9
92	96.7	96.1	97	95.8	94.9	96.1
91	96.1	95.4	96.4	95.1	94.1	95.4
90	95.5	94.7	95.8	94.3	93.3	94.6
89	94.8	94.1	95.3	93.5	92.5	93.9
88	94.3	93.5	94.7	92.7	91.7	93.2
87	93.7	92.9	94.2	92	90.9	92.5
86	93.2	92.3	93.7	91.3	90.1	91.9
85	92.7	91.7	93.3	90.6	89.4	91.2
84	92.2	91.2	92.9	89.9	88.7	90.6
83	91.7	90.7	92.5	89.2	88	90
82	91.3	90.2	92.1	88.6	87.3	89.4
81	90.9	89.8	91.7	87.9	86.6	88.9
80	90.5	89.3	91.4	87.3	86	88.3
79	90.1	88.9	91.1	86.8	85.3	87.8
78	89.8	88.5	90.8	86.2	84.7	87.3
77	89.5	88.1	90.5	85.6	84.1	86.8
76	89.1	87.7	90.3	85.1	83.5	86.3
75	88.8	87.4	90.1	84.5	83	85.8
74	88.6	87.1	89.8	84	82.4	85.3
73	88.3	86.7	89.7	83.5	81.9	84.8
72	88.1	86.4	89.5	83	81.4	84.3
71	87.8	86.1	89.3	82.5	80.9	83.9
70	87.6	85.9	89.2	82.1	80.4	83.4
69	87.4	85.6	89	81.6	79.9	83
68	87.2	85.4	88.9	81.2	79.4	82.6
67	87	85.2	88.7	80.7	79	82.2
66	86.9	85	88.6	80.3	78.5	81.8
65	86.7	84.8	88.5	79.9	78.1	81.4
64	86.6	84.6	88.4	79.5	77.6	81
63	86.4	84.4	88.3	79.1	77.2	80.7
62	86.3	84.3	88.2	78.7	76.8	80.3
61	86.2	84.1	88.1	78.4	76.4	80
60	86	84	88	78	76.1	79.7
59	85.9	83.8	87.9	77.7	75.7	79.4
58	85.8	83.7	87.9	77.4	75.4	79.1
57	85.7	83.6	87.8	77.1	75	78.9
56	85.6	83.5	87.7	76.8	74.7	78.6
55	85.5	83.3	87.6	76.5	74.4	78.3
54	85.4	83.2	87.6	76.2	74.1	78.1
53	85.4	83.2	87.5	75.9	73.8	77.9
52	85.3	83.1	87.5	75.7	73.5	77.6
51	85.2	83	87.4	75.4	73.3	77.4
50	85.2	82.9	87.4	75.2	73	77.2
49	85.1	82.8	87.3	75	72.7	77
48	85	82.8	87.3	74.7	72.5	76.8
47	85	82.7	87.2	74.5	72.3	76.6
46	85	82.7	87.2	74.3	72	76.5
45	84.9	82.6	87.2	74.1	71.8	76.3
44	84.9	82.6	87.1	73.9	71.6	76.1
43	84.8	82.5	87.1	73.8	71.4	76
42	84.8	82.5	87.1	73.6	71.2	75.8
41	84.8	82.4	87.1	73.4	71	75.6
40	84.7	82.4	87.1	73.2	70.8	75.5
39	84.7	82.4	87	73.1	70.7	75.4
38	84.7	82.4	87	72.9	70.5	75.2
37	84.7	82.3	87	72.8	70.3	75.1
36	84.7	82.3	87	72.6	70.2	75
35	84.6	82.3	87	72.5	70	74.8
34	84.6	82.3	87	72.4	69.9	74.7
33	84.6	82.2	87	72.2	69.7	74.6
32	84.6	82.2	86.9	72.1	69.6	74.5
31	84.6	82.2	86.9	72	69.5	74.4
30	84.5	82.2	86.9	71.9	69.3	74.3
29	84.5	82.2	86.9	71.8	69.2	74.2
28	84.5	82.1	86.9	71.7	69.1	74.1
27	84.5	82.1	86.9	71.6	69	74
26	84.5	82.1	86.9	71.4	68.9	73.9
25	84.5	82.1	86.9	71.4	68.7	73.9
24	84.5	82.1	86.9	71.3	68.6	73.8
23	84.5	82.1	86.9	71.2	68.5	73.7
22	84.4	82	86.9	71.1	68.4	73.6
21	84.4	82	86.8	71	68.3	73.6
20	84.4	82	86.8	70.9	68.2	73.5
19	84.4	82	86.8	70.8	68.1	73.4
18	84.4	82	86.8	70.8	68.1	73.4
17	84.4	82	86.8	70.7	68	73.3
16	84.4	81.9	86.8	70.6	67.9	73.3
15	84.4	81.9	86.8	70.6	67.9	73.2
14	84.3	81.9	86.8	70.5	67.8	73.2
13	84.3	81.9	86.8	70.5	67.8	73.2
12	84.3	81.9	86.8	70.5	67.7	73.1
11	84.3	81.9	86.8	70.4	67.7	73.1
10	84.3	81.9	86.8	70.4	67.7	73.1
9	84.3	81.9	86.8	70.4	67.6	73
8	84.3	81.9	86.8	70.3	67.6	73
7	84.3	81.9	86.8	70.3	67.5	72.9
6	84.3	81.9	86.8	70.2	67.5	72.9
5	84.3	81.9	86.8	70.2	67.4	72.8
4	84.3	81.9	86.8	70.1	67.3	72.7
3	84.3	81.9	86.7	69.9	67.2	72.6
2	84.3	81.8	86.7	69.8	67	72.4
1	84.3	81.8	86.7	69.5	66.8	72.2
0	84.1	81.7	86.6	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 Singapore can expect to live to 84.5 years compared to 71.9 in Tanzania, rising to 86.7 and 79.9 at 65, and to 90.5 and 87.3 at 80 — higher than the 84.1 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Singapore

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	Singapore			Tanzania
	Average	Male	Female	Average	Male	Female
100	4.99%	2.55%	7.25%	0.67%	0.12%	1.28%
99	6.71%	3.6%	9.59%	0.94%	0.2%	1.76%
98	8.78%	4.95%	12.4%	1.29%	0.3%	2.36%
97	11.2%	6.62%	15.5%	1.73%	0.46%	3.12%
96	14%	8.64%	19.1%	2.29%	0.68%	4.05%
95	17.1%	11%	22.9%	2.99%	0.98%	5.16%
94	20.5%	13.7%	27%	3.82%	1.38%	6.46%
93	24.2%	16.7%	31.3%	4.81%	1.89%	7.95%
92	28%	20%	35.7%	5.97%	2.55%	9.63%
91	32%	23.6%	40.2%	7.28%	3.35%	11.5%
90	36.1%	27.3%	44.6%	8.82%	4.35%	13.5%
89	40.2%	31.2%	49%	10.5%	5.52%	15.7%
88	44.2%	35.1%	53.2%	12.4%	6.9%	18.1%
87	48.2%	39%	57.2%	14.4%	8.47%	20.5%
86	52%	42.9%	61%	16.6%	10.2%	23.1%
85	55.6%	46.7%	64.5%	19%	12.2%	25.7%
84	59.1%	50.4%	67.8%	21.4%	14.3%	28.4%
83	62.4%	54%	70.9%	23.9%	16.6%	31%
82	65.5%	57.4%	73.7%	26.5%	19%	33.6%
81	68.3%	60.6%	76.3%	29%	21.4%	36.1%
80	71%	63.6%	78.6%	31.5%	24%	38.5%
79	73.5%	66.5%	80.7%	34.1%	26.6%	41%
78	75.7%	69.1%	82.6%	36.6%	29.2%	43.4%
77	77.8%	71.6%	84.3%	39.2%	31.8%	45.8%
76	79.8%	74%	85.8%	41.7%	34.5%	48.2%
75	81.5%	76.2%	87.1%	44.2%	37.1%	50.6%
74	83.2%	78.2%	88.3%	46.6%	39.7%	52.9%
73	84.6%	80.1%	89.4%	49%	42.2%	55.1%
72	86%	81.9%	90.3%	51.3%	44.7%	57.3%
71	87.2%	83.4%	91.2%	53.5%	47.1%	59.4%
70	88.3%	84.9%	91.9%	55.7%	49.5%	61.4%
69	89.3%	86.2%	92.6%	57.7%	51.8%	63.3%
68	90.2%	87.4%	93.2%	59.7%	54%	65.2%
67	91%	88.4%	93.8%	61.7%	56.2%	67%
66	91.8%	89.4%	94.3%	63.6%	58.3%	68.8%
65	92.4%	90.3%	94.7%	65.4%	60.3%	70.5%
64	93.1%	91.1%	95.2%	67.2%	62.3%	72%
63	93.7%	91.9%	95.6%	68.8%	64.2%	73.5%
62	94.2%	92.6%	95.9%	70.4%	66%	74.9%
61	94.7%	93.2%	96.2%	71.9%	67.6%	76.2%
60	95.1%	93.8%	96.5%	73.3%	69.3%	77.5%
59	95.5%	94.3%	96.8%	74.7%	70.8%	78.6%
58	95.9%	94.8%	97.1%	75.9%	72.2%	79.7%
57	96.3%	95.3%	97.3%	77.1%	73.6%	80.7%
56	96.6%	95.7%	97.6%	78.2%	74.9%	81.6%
55	96.9%	96%	97.8%	79.3%	76.1%	82.5%
54	97.1%	96.4%	98%	80.3%	77.3%	83.3%
53	97.4%	96.7%	98.1%	81.3%	78.4%	84.2%
52	97.6%	97%	98.3%	82.2%	79.4%	84.9%
51	97.8%	97.2%	98.4%	83%	80.4%	85.6%
50	98%	97.4%	98.6%	83.9%	81.4%	86.3%
49	98.1%	97.6%	98.7%	84.6%	82.3%	86.9%
48	98.3%	97.8%	98.8%	85.3%	83.1%	87.5%
47	98.4%	98%	98.9%	86%	83.9%	88.1%
46	98.5%	98.1%	99%	86.6%	84.7%	88.6%
45	98.6%	98.2%	99%	87.2%	85.4%	89.1%
44	98.7%	98.4%	99.1%	87.8%	86%	89.6%
43	98.8%	98.5%	99.2%	88.3%	86.7%	90%
42	98.9%	98.6%	99.2%	88.8%	87.2%	90.5%
41	98.9%	98.7%	99.3%	89.3%	87.8%	90.8%
40	99%	98.8%	99.3%	89.8%	88.3%	91.2%
39	99.1%	98.8%	99.3%	90.2%	88.8%	91.6%
38	99.1%	98.9%	99.4%	90.6%	89.3%	91.9%
37	99.2%	98.9%	99.4%	91%	89.8%	92.2%
36	99.2%	99%	99.4%	91.3%	90.2%	92.5%
35	99.2%	99.1%	99.5%	91.7%	90.6%	92.8%
34	99.3%	99.1%	99.5%	92%	90.9%	93.1%
33	99.3%	99.1%	99.5%	92.3%	91.3%	93.3%
32	99.3%	99.2%	99.5%	92.6%	91.6%	93.6%
31	99.4%	99.2%	99.5%	92.9%	92%	93.8%
30	99.4%	99.3%	99.6%	93.1%	92.3%	94%
29	99.4%	99.3%	99.6%	93.4%	92.5%	94.2%
28	99.5%	99.3%	99.6%	93.6%	92.8%	94.4%
27	99.5%	99.4%	99.6%	93.8%	93.1%	94.6%
26	99.5%	99.4%	99.6%	94%	93.3%	94.8%
25	99.5%	99.4%	99.6%	94.2%	93.6%	94.9%
24	99.6%	99.5%	99.7%	94.4%	93.8%	95.1%
23	99.6%	99.5%	99.7%	94.6%	94%	95.2%
22	99.6%	99.5%	99.7%	94.8%	94.2%	95.4%
21	99.6%	99.5%	99.7%	95%	94.4%	95.5%
20	99.6%	99.6%	99.7%	95.1%	94.6%	95.6%
19	99.7%	99.6%	99.7%	95.3%	94.8%	95.7%
18	99.7%	99.6%	99.7%	95.4%	95%	95.8%
17	99.7%	99.6%	99.7%	95.5%	95.1%	95.9%
16	99.7%	99.7%	99.8%	95.6%	95.2%	96%
15	99.7%	99.7%	99.8%	95.7%	95.3%	96.1%
14	99.7%	99.7%	99.8%	95.8%	95.4%	96.1%
13	99.7%	99.7%	99.8%	95.8%	95.5%	96.2%
12	99.7%	99.7%	99.8%	95.9%	95.5%	96.2%
11	99.8%	99.7%	99.8%	95.9%	95.6%	96.3%
10	99.8%	99.7%	99.8%	96%	95.7%	96.4%
9	99.8%	99.7%	99.8%	96.1%	95.7%	96.4%
8	99.8%	99.7%	99.8%	96.1%	95.8%	96.5%
7	99.8%	99.7%	99.8%	96.2%	95.9%	96.5%
6	99.8%	99.8%	99.8%	96.3%	96%	96.6%
5	99.8%	99.8%	99.8%	96.4%	96.1%	96.7%
4	99.8%	99.8%	99.8%	96.5%	96.2%	96.8%
3	99.8%	99.8%	99.8%	96.7%	96.4%	97%
2	99.8%	99.8%	99.8%	96.9%	96.6%	97.2%
1	99.8%	99.8%	99.9%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 95.1% of newborns in Singapore and 73.3% in Tanzania are expected to live past 60, 88.3% and 55.7% past 70, 71% and 31.5% past 80, and only 36.1% 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

Singapore

Male

Female

Tanzania

Male

Female

1x

Age	Probability of dying
	Singapore			Tanzania
	Average	Male	Female	Average	Male	Female
100	27.4%	31.2%	26.3%	29.4%	38.6%	28.4%
99	25.6%	29.3%	24.5%	28.3%	37.1%	27.2%
98	23.6%	27.2%	22.4%	26.8%	35.3%	25.5%
97	21.7%	25.3%	20.4%	25.7%	33.9%	24.3%
96	19.9%	23.3%	18.6%	24.5%	32.3%	23%
95	18.2%	21.4%	16.8%	23.3%	30.7%	21.6%
94	16.6%	19.7%	15.2%	21.8%	28.9%	20.1%
93	15.1%	18.1%	13.7%	20.6%	27.3%	18.7%
92	13.8%	16.6%	12.4%	19.4%	25.7%	17.5%
91	12.5%	15.1%	11.1%	18.1%	24%	16%
90	11.3%	13.7%	9.95%	17.4%	22.9%	15.3%
89	10.2%	12.4%	8.88%	16.1%	21.3%	13.9%
88	9.15%	11.2%	7.9%	15.2%	20%	13%
87	8.18%	10%	7.02%	14.2%	18.6%	12%
86	7.32%	9.04%	6.22%	13.3%	17.3%	11.1%
85	6.55%	8.13%	5.51%	12.3%	16%	10.2%
84	5.87%	7.32%	4.87%	11.4%	14.9%	9.37%
83	5.27%	6.58%	4.31%	10.4%	13.7%	8.46%
82	4.71%	5.91%	3.8%	9.6%	12.6%	7.7%
81	4.2%	5.31%	3.35%	8.6%	11.4%	6.8%
80	3.75%	4.77%	2.95%	8.09%	10.6%	6.4%
79	3.35%	4.29%	2.6%	7.47%	9.73%	5.95%
78	3%	3.87%	2.28%	7.01%	9.02%	5.65%
77	2.69%	3.5%	2.01%	6.47%	8.26%	5.24%
76	2.42%	3.17%	1.76%	6.05%	7.65%	4.95%
75	2.17%	2.88%	1.54%	5.63%	7.08%	4.66%
74	1.95%	2.61%	1.35%	5.22%	6.52%	4.35%
73	1.75%	2.36%	1.19%	4.83%	6.02%	4.06%
72	1.56%	2.12%	1.05%	4.5%	5.58%	3.8%
71	1.39%	1.9%	0.93%	4.12%	5.1%	3.49%
70	1.24%	1.7%	0.83%	3.91%	4.8%	3.33%
69	1.12%	1.51%	0.74%	3.59%	4.41%	3.06%
68	1%	1.35%	0.66%	3.37%	4.12%	2.88%
67	0.9%	1.21%	0.59%	3.16%	3.84%	2.7%
66	0.82%	1.09%	0.54%	2.97%	3.6%	2.54%
65	0.74%	0.99%	0.49%	2.83%	3.4%	2.41%
64	0.68%	0.9%	0.44%	2.61%	3.15%	2.2%
63	0.62%	0.82%	0.41%	2.42%	2.92%	2.02%
62	0.56%	0.75%	0.37%	2.25%	2.71%	1.86%
61	0.52%	0.68%	0.34%	2.06%	2.49%	1.7%
60	0.47%	0.62%	0.32%	1.94%	2.34%	1.58%
59	0.43%	0.57%	0.29%	1.78%	2.14%	1.44%
58	0.4%	0.52%	0.27%	1.66%	1.99%	1.34%
57	0.36%	0.47%	0.25%	1.54%	1.85%	1.24%
56	0.33%	0.43%	0.23%	1.44%	1.73%	1.16%
55	0.3%	0.39%	0.21%	1.35%	1.62%	1.09%
54	0.27%	0.35%	0.19%	1.26%	1.52%	1.02%
53	0.25%	0.31%	0.18%	1.18%	1.42%	0.95%
52	0.22%	0.28%	0.16%	1.11%	1.34%	0.9%
51	0.2%	0.25%	0.15%	1.03%	1.24%	0.83%
50	0.18%	0.23%	0.13%	0.97%	1.17%	0.79%
49	0.16%	0.2%	0.12%	0.9%	1.08%	0.73%
48	0.14%	0.18%	0.11%	0.84%	1.01%	0.68%
47	0.13%	0.16%	0.1%	0.78%	0.94%	0.63%
46	0.12%	0.15%	0.09%	0.73%	0.88%	0.59%
45	0.11%	0.14%	0.08%	0.69%	0.83%	0.56%
44	0.1%	0.12%	0.07%	0.64%	0.77%	0.52%
43	0.09%	0.11%	0.06%	0.6%	0.72%	0.49%
42	0.08%	0.1%	0.05%	0.57%	0.68%	0.47%
41	0.07%	0.09%	0.05%	0.53%	0.63%	0.44%
40	0.06%	0.08%	0.04%	0.51%	0.6%	0.42%
39	0.06%	0.07%	0.04%	0.47%	0.56%	0.39%
38	0.05%	0.07%	0.03%	0.45%	0.53%	0.37%
37	0.05%	0.06%	0.03%	0.42%	0.5%	0.34%
36	0.04%	0.05%	0.03%	0.39%	0.47%	0.33%
35	0.04%	0.05%	0.03%	0.37%	0.44%	0.31%
34	0.04%	0.05%	0.02%	0.35%	0.41%	0.29%
33	0.03%	0.04%	0.02%	0.33%	0.39%	0.27%
32	0.03%	0.04%	0.02%	0.31%	0.37%	0.25%
31	0.03%	0.04%	0.02%	0.29%	0.34%	0.24%
30	0.03%	0.04%	0.02%	0.28%	0.33%	0.23%
29	0.03%	0.04%	0.02%	0.26%	0.31%	0.21%
28	0.03%	0.03%	0.02%	0.25%	0.3%	0.2%
27	0.02%	0.03%	0.02%	0.24%	0.28%	0.19%
26	0.02%	0.03%	0.01%	0.22%	0.27%	0.18%
25	0.02%	0.03%	0.01%	0.21%	0.26%	0.17%
24	0.02%	0.03%	0.01%	0.2%	0.25%	0.16%
23	0.02%	0.03%	0.01%	0.19%	0.24%	0.15%
22	0.02%	0.03%	0.01%	0.18%	0.23%	0.14%
21	0.02%	0.03%	0.01%	0.17%	0.21%	0.13%
20	0.02%	0.03%	0.01%	0.16%	0.2%	0.13%
19	0.02%	0.03%	0.01%	0.15%	0.18%	0.12%
18	0.02%	0.02%	0.01%	0.14%	0.17%	0.11%
17	0.02%	0.02%	0.01%	0.12%	0.14%	0.1%
16	0.02%	0.02%	0.01%	0.1%	0.12%	0.09%
15	0.01%	0.02%	0.01%	0.09%	0.1%	0.08%
14	0.01%	0.01%	0.009%	0.08%	0.09%	0.07%
13	0.01%	0.01%	0.008%	0.07%	0.08%	0.06%
12	0.008%	0.01%	0.007%	0.06%	0.07%	0.06%
11	0.007%	0.008%	0.006%	0.06%	0.07%	0.05%
10	0.006%	0.007%	0.005%	0.06%	0.07%	0.05%
9	0.005%	0.006%	0.004%	0.06%	0.07%	0.06%
8	0.005%	0.006%	0.004%	0.07%	0.07%	0.06%
7	0.005%	0.006%	0.004%	0.08%	0.08%	0.07%
6	0.005%	0.006%	0.004%	0.08%	0.09%	0.08%
5	0.006%	0.007%	0.004%	0.1%	0.11%	0.09%
4	0.007%	0.008%	0.006%	0.13%	0.14%	0.12%
3	0.009%	0.01%	0.008%	0.18%	0.18%	0.17%
2	0.01%	0.01%	0.01%	0.25%	0.26%	0.25%
1	0.02%	0.02%	0.02%	0.41%	0.41%	0.4%
0	0.17%	0.19%	0.14%	2.69%	2.99%	2.38%

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

The annual chance of dying is 0.17% in the birth year in Singapore and 2.69% in Tanzania, 0.03% vs 0.28% at age 30, 0.47% vs 1.94% at 60, and 3.75% vs 8.09% at 80.

Death rate by age in Singapore vs Tanzania

Chart Table

Singapore

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	Singapore			Tanzania
	Total	Male	Female	Total	Male	Female
100	1,375	708	2,002	140.1	0.71	294.9
99	1,718	1,055	2,345	266.5	72.6	478
98	2,071	1,349	2,766	344	107.1	602
97	2,433	1,673	3,170	444	155.1	756
96	2,786	2,015	3,537	562	218.8	930
95	3,109	2,358	3,843	695	300	1,116
94	3,402	2,698	4,098	834	398	1,297
93	3,651	3,024	4,291	989	516	1,486
92	3,852	3,319	4,419	1,159	656	1,682
91	3,998	3,565	4,473	1,316	805	1,836
90	4,078	3,743	4,442	1,536	994	2,078
89	4,096	3,860	4,349	1,690	1,174	2,190
88	4,046	3,920	4,204	1,881	1,377	2,351
87	3,941	3,923	4,013	2,045	1,575	2,462
86	3,806	3,881	3,793	2,207	1,777	2,566
85	3,646	3,801	3,554	2,336	1,957	2,629
84	3,470	3,689	3,306	2,452	2,143	2,662
83	3,286	3,550	3,053	2,499	2,269	2,625
82	3,084	3,390	2,802	2,540	2,389	2,588
81	2,873	3,214	2,556	2,490	2,434	2,451
80	2,666	3,031	2,319	2,549	2,548	2,467
79	2,465	2,850	2,096	2,545	2,586	2,439
78	2,274	2,675	1,886	2,569	2,636	2,453
77	2,096	2,508	1,689	2,533	2,630	2,402
76	1,927	2,348	1,508	2,519	2,638	2,384
75	1,767	2,194	1,343	2,489	2,625	2,358
74	1,619	2,043	1,196	2,431	2,589	2,297
73	1,480	1,891	1,065	2,367	2,543	2,235
72	1,345	1,738	949	2,309	2,496	2,179
71	1,215	1,586	848	2,205	2,404	2,072
70	1,098	1,439	759	2,174	2,375	2,046
69	996	1,303	682	2,072	2,284	1,936
68	905	1,180	615	2,015	2,226	1,877
67	822	1,071	557	1,948	2,160	1,806
66	749	977	506	1,889	2,097	1,743
65	685	894	462	1,848	2,051	1,698
64	628	821	423	1,753	1,961	1,588
63	578	755	389	1,666	1,874	1,488
62	532	694	359	1,583	1,789	1,396
61	489	638	331	1,484	1,686	1,293
60	450	585	307	1,422	1,617	1,227
59	413	535	284.1	1,327	1,514	1,135
58	379	490	263.2	1,257	1,436	1,069
57	347	447	243.5	1,185	1,359	1,002
56	318	408	224.9	1,126	1,294	949
55	290.8	371	207	1,069	1,234	895
54	265.1	337	189.9	1,015	1,174	848
53	240.5	304	173.4	962	1,116	802
52	217.2	273.9	157.6	914	1,062	763
51	195.5	245.8	142.8	856	999	711
50	175.7	220.2	128.9	817	955	680
49	157.8	197.6	116.1	761	892	633
48	142.1	178	104.5	716	840	596
47	128.5	161.4	94.1	671	789	558
46	116.6	147	84.6	632	744	525
45	106	134.4	75.9	599	705	498
44	96	122.6	67.8	563	661	469
43	86.6	111.5	60.1	533	625	445
42	77.7	100.6	53	507	593	423
41	69.3	90.3	46.5	476	557	397
40	61.8	80.7	40.9	455	533	380
39	55.2	72.2	36.2	428	500	357
38	49.6	65	32.4	405	473	338
37	45.2	59.1	29.6	382	446	318
36	41.8	54.3	27.4	361	420	301
35	39.1	50.5	25.8	341	398	284.4
34	36.7	47.3	24.4	321	375	266.3
33	34.7	44.5	23	303	353	251.3
32	32.7	41.9	21.6	286.8	335	237.8
31	30.7	39.5	20.1	269.7	316	222.6
30	28.8	37.2	18.6	258.9	303	213.8
29	27.1	35	17.2	245	287.2	202.1
28	25.6	33.2	16.1	233.1	274.4	191
27	24.4	31.7	15.2	222.2	262.5	181.1
26	23.5	30.6	14.6	211.5	251.5	171
25	22.8	29.8	14.2	201.9	242.2	161.1
24	22.3	29.2	13.8	192.7	232.5	152.5
23	21.9	28.8	13.5	183.7	223.1	143.7
22	21.5	28.5	13.1	174.2	212.6	135.4
21	21	28.1	12.7	164	200.4	127
20	20.3	27.5	12.1	154.3	187.4	120.7
19	19.4	26.3	11.6	142.8	172.9	112.2
18	18.2	24.5	11.1	130.5	157.1	103.4
17	16.7	22.3	10.7	114.1	134.6	93.3
16	15.1	19.6	10.2	98.8	113.8	83.6
15	13.3	16.7	9.71	85	95.7	74
14	11.6	14	8.96	73.3	81.7	64.7
13	9.84	11.6	7.95	65.1	71.8	58.2
12	8.25	9.63	6.8	60	66.3	53.6
11	6.9	8.1	5.64	57.8	63.8	51.6
10	5.86	6.99	4.67	57.7	63	52.2
9	5.15	6.29	3.97	59.9	65.2	54.4
8	4.79	5.95	3.58	64.7	70.4	58.8
7	4.75	5.96	3.5	72.2	78.1	66.1
6	5.08	6.34	3.77	81.7	87.3	76
5	5.83	7.13	4.47	96.7	101.8	91.4
4	7.11	8.39	5.79	125.6	131.7	119.3
3	9.12	10.2	7.97	171.2	177.9	164.3
2	12.1	12.7	11.5	246.7	252.7	240.5
1	16.5	15.9	17.1	394	394	394
0	168.8	194.6	141.6	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 Singapore, the most common age of death is 89, compared to 0 in Tanzania. The median age of death is 86.5 in Singapore 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 Singapore and Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x