Life Expectancy in Maldives vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Maldives

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	Maldives			Tanzania
	Average	Male	Female	Average	Male	Female
100	102.1	101.9	102.2	102.5	101.9	102.6
99	101.2	101	101.3	101.7	101	101.7
98	100.4	100.2	100.5	100.8	100.1	100.9
97	99.5	99.3	99.7	100	99.2	100.1
96	98.7	98.5	98.9	99.1	98.4	99.3
95	97.9	97.7	98.1	98.3	97.5	98.4
94	97.1	96.8	97.3	97.4	96.6	97.7
93	96.3	96.1	96.6	96.6	95.8	96.9
92	95.6	95.3	95.8	95.8	94.9	96.1
91	94.8	94.5	95.1	95.1	94.1	95.4
90	94.1	93.8	94.4	94.3	93.3	94.6
89	93.4	93	93.8	93.5	92.5	93.9
88	92.7	92.3	93.1	92.7	91.7	93.2
87	92.1	91.6	92.5	92	90.9	92.5
86	91.5	91	91.9	91.3	90.1	91.9
85	90.9	90.4	91.4	90.6	89.4	91.2
84	90.3	89.8	90.9	89.9	88.7	90.6
83	89.8	89.2	90.3	89.2	88	90
82	89.3	88.7	89.9	88.6	87.3	89.4
81	88.8	88.2	89.4	87.9	86.6	88.9
80	88.3	87.7	89	87.3	86	88.3
79	87.9	87.3	88.6	86.8	85.3	87.8
78	87.5	86.8	88.3	86.2	84.7	87.3
77	87.1	86.4	87.9	85.6	84.1	86.8
76	86.8	86	87.6	85.1	83.5	86.3
75	86.4	85.6	87.3	84.5	83	85.8
74	86.1	85.3	87	84	82.4	85.3
73	85.8	85	86.8	83.5	81.9	84.8
72	85.5	84.7	86.6	83	81.4	84.3
71	85.3	84.4	86.4	82.5	80.9	83.9
70	85.1	84.1	86.2	82.1	80.4	83.4
69	84.8	83.9	86	81.6	79.9	83
68	84.6	83.7	85.8	81.2	79.4	82.6
67	84.4	83.4	85.7	80.7	79	82.2
66	84.3	83.2	85.5	80.3	78.5	81.8
65	84.1	83.1	85.4	79.9	78.1	81.4
64	84	82.9	85.3	79.5	77.6	81
63	83.8	82.7	85.1	79.1	77.2	80.7
62	83.7	82.6	85	78.7	76.8	80.3
61	83.6	82.5	84.9	78.4	76.4	80
60	83.5	82.4	84.9	78	76.1	79.7
59	83.4	82.3	84.8	77.7	75.7	79.4
58	83.3	82.2	84.7	77.4	75.4	79.1
57	83.3	82.1	84.6	77.1	75	78.9
56	83.2	82	84.6	76.8	74.7	78.6
55	83.1	82	84.5	76.5	74.4	78.3
54	83.1	81.9	84.5	76.2	74.1	78.1
53	83	81.9	84.4	75.9	73.8	77.9
52	83	81.8	84.4	75.7	73.5	77.6
51	82.9	81.8	84.4	75.4	73.3	77.4
50	82.9	81.7	84.3	75.2	73	77.2
49	82.8	81.7	84.3	75	72.7	77
48	82.8	81.6	84.3	74.7	72.5	76.8
47	82.8	81.6	84.2	74.5	72.3	76.6
46	82.7	81.5	84.2	74.3	72	76.5
45	82.7	81.5	84.2	74.1	71.8	76.3
44	82.7	81.5	84.2	73.9	71.6	76.1
43	82.7	81.5	84.1	73.8	71.4	76
42	82.6	81.4	84.1	73.6	71.2	75.8
41	82.6	81.4	84.1	73.4	71	75.6
40	82.6	81.4	84.1	73.2	70.8	75.5
39	82.6	81.4	84.1	73.1	70.7	75.4
38	82.6	81.4	84	72.9	70.5	75.2
37	82.5	81.4	84	72.8	70.3	75.1
36	82.5	81.3	84	72.6	70.2	75
35	82.5	81.3	84	72.5	70	74.8
34	82.5	81.3	84	72.4	69.9	74.7
33	82.5	81.3	84	72.2	69.7	74.6
32	82.5	81.3	84	72.1	69.6	74.5
31	82.5	81.3	84	72	69.5	74.4
30	82.4	81.2	84	71.9	69.3	74.3
29	82.4	81.2	83.9	71.8	69.2	74.2
28	82.4	81.2	83.9	71.7	69.1	74.1
27	82.4	81.2	83.9	71.6	69	74
26	82.4	81.2	83.9	71.4	68.9	73.9
25	82.4	81.2	83.9	71.4	68.7	73.9
24	82.4	81.2	83.9	71.3	68.6	73.8
23	82.3	81.1	83.9	71.2	68.5	73.7
22	82.3	81.1	83.9	71.1	68.4	73.6
21	82.3	81.1	83.9	71	68.3	73.6
20	82.3	81.1	83.8	70.9	68.2	73.5
19	82.3	81.1	83.8	70.8	68.1	73.4
18	82.3	81	83.8	70.8	68.1	73.4
17	82.3	81	83.8	70.7	68	73.3
16	82.2	81	83.8	70.6	67.9	73.3
15	82.2	81	83.8	70.6	67.9	73.2
14	82.2	81	83.8	70.5	67.8	73.2
13	82.2	80.9	83.8	70.5	67.8	73.2
12	82.2	80.9	83.8	70.5	67.7	73.1
11	82.2	80.9	83.8	70.4	67.7	73.1
10	82.2	80.9	83.8	70.4	67.7	73.1
9	82.2	80.9	83.7	70.4	67.6	73
8	82.2	80.9	83.7	70.3	67.6	73
7	82.2	80.9	83.7	70.3	67.5	72.9
6	82.1	80.9	83.7	70.2	67.5	72.9
5	82.1	80.9	83.7	70.2	67.4	72.8
4	82.1	80.9	83.7	70.1	67.3	72.7
3	82.1	80.9	83.7	69.9	67.2	72.6
2	82.1	80.9	83.7	69.8	67	72.4
1	82.1	80.8	83.6	69.5	66.8	72.2
0	81.7	80.4	83.3	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 Maldives can expect to live to 82.4 years compared to 71.9 in Tanzania, rising to 84.1 and 79.9 at 65, and to 88.3 and 87.3 at 80 — higher than the 81.7 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Maldives

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	Maldives			Tanzania
	Average	Male	Female	Average	Male	Female
100	1.34%	0.77%	2.09%	0.67%	0.12%	1.28%
99	2.02%	1.21%	3.08%	0.94%	0.2%	1.76%
98	2.94%	1.84%	4.4%	1.29%	0.3%	2.36%
97	4.16%	2.71%	6.08%	1.73%	0.46%	3.12%
96	5.72%	3.86%	8.16%	2.29%	0.68%	4.05%
95	7.63%	5.32%	10.7%	2.99%	0.98%	5.16%
94	9.94%	7.15%	13.6%	3.82%	1.38%	6.46%
93	12.6%	9.36%	16.9%	4.81%	1.89%	7.95%
92	15.8%	12%	20.6%	5.97%	2.55%	9.63%
91	19.2%	15.1%	24.6%	7.28%	3.35%	11.5%
90	23.1%	18.6%	28.8%	8.82%	4.35%	13.5%
89	27.2%	22.4%	33.3%	10.5%	5.52%	15.7%
88	31.5%	26.5%	37.9%	12.4%	6.9%	18.1%
87	36%	30.9%	42.5%	14.4%	8.47%	20.5%
86	40.5%	35.3%	47.1%	16.6%	10.2%	23.1%
85	45%	39.7%	51.5%	19%	12.2%	25.7%
84	49.4%	44.1%	55.8%	21.4%	14.3%	28.4%
83	53.6%	48.4%	59.9%	23.9%	16.6%	31%
82	57.6%	52.6%	63.8%	26.5%	19%	33.6%
81	61.4%	56.5%	67.4%	29%	21.4%	36.1%
80	65%	60.3%	70.6%	31.5%	24%	38.5%
79	68.4%	63.9%	73.6%	34.1%	26.6%	41%
78	71.4%	67.2%	76.4%	36.6%	29.2%	43.4%
77	74.3%	70.4%	78.8%	39.2%	31.8%	45.8%
76	76.8%	73.3%	81.1%	41.7%	34.5%	48.2%
75	79.2%	75.9%	83.1%	44.2%	37.1%	50.6%
74	81.3%	78.4%	84.9%	46.6%	39.7%	52.9%
73	83.2%	80.6%	86.5%	49%	42.2%	55.1%
72	85%	82.6%	87.9%	51.3%	44.7%	57.3%
71	86.5%	84.4%	89.2%	53.5%	47.1%	59.4%
70	87.9%	86%	90.3%	55.7%	49.5%	61.4%
69	89.2%	87.5%	91.3%	57.7%	51.8%	63.3%
68	90.3%	88.8%	92.2%	59.7%	54%	65.2%
67	91.3%	90%	92.9%	61.7%	56.2%	67%
66	92.2%	91.1%	93.6%	63.6%	58.3%	68.8%
65	93%	92%	94.3%	65.4%	60.3%	70.5%
64	93.7%	92.8%	94.8%	67.2%	62.3%	72%
63	94.3%	93.5%	95.3%	68.8%	64.2%	73.5%
62	94.8%	94.2%	95.8%	70.4%	66%	74.9%
61	95.3%	94.7%	96.1%	71.9%	67.6%	76.2%
60	95.7%	95.2%	96.5%	73.3%	69.3%	77.5%
59	96.1%	95.6%	96.8%	74.7%	70.8%	78.6%
58	96.4%	96%	97%	75.9%	72.2%	79.7%
57	96.7%	96.3%	97.3%	77.1%	73.6%	80.7%
56	96.9%	96.6%	97.5%	78.2%	74.9%	81.6%
55	97.2%	96.8%	97.7%	79.3%	76.1%	82.5%
54	97.4%	97%	97.8%	80.3%	77.3%	83.3%
53	97.5%	97.2%	98%	81.3%	78.4%	84.2%
52	97.7%	97.4%	98.1%	82.2%	79.4%	84.9%
51	97.8%	97.5%	98.2%	83%	80.4%	85.6%
50	97.9%	97.7%	98.3%	83.9%	81.4%	86.3%
49	98%	97.8%	98.4%	84.6%	82.3%	86.9%
48	98.1%	97.9%	98.4%	85.3%	83.1%	87.5%
47	98.2%	98.1%	98.5%	86%	83.9%	88.1%
46	98.3%	98.2%	98.6%	86.6%	84.7%	88.6%
45	98.4%	98.3%	98.6%	87.2%	85.4%	89.1%
44	98.5%	98.3%	98.7%	87.8%	86%	89.6%
43	98.6%	98.4%	98.8%	88.3%	86.7%	90%
42	98.6%	98.5%	98.8%	88.8%	87.2%	90.5%
41	98.7%	98.5%	98.9%	89.3%	87.8%	90.8%
40	98.7%	98.5%	98.9%	89.8%	88.3%	91.2%
39	98.7%	98.6%	99%	90.2%	88.8%	91.6%
38	98.8%	98.6%	99%	90.6%	89.3%	91.9%
37	98.8%	98.7%	99%	91%	89.8%	92.2%
36	98.8%	98.7%	99%	91.3%	90.2%	92.5%
35	98.9%	98.7%	99.1%	91.7%	90.6%	92.8%
34	98.9%	98.8%	99.1%	92%	90.9%	93.1%
33	98.9%	98.8%	99.1%	92.3%	91.3%	93.3%
32	99%	98.8%	99.1%	92.6%	91.6%	93.6%
31	99%	98.8%	99.2%	92.9%	92%	93.8%
30	99%	98.9%	99.2%	93.1%	92.3%	94%
29	99%	98.9%	99.2%	93.4%	92.5%	94.2%
28	99.1%	98.9%	99.2%	93.6%	92.8%	94.4%
27	99.1%	99%	99.2%	93.8%	93.1%	94.6%
26	99.1%	99%	99.3%	94%	93.3%	94.8%
25	99.1%	99%	99.3%	94.2%	93.6%	94.9%
24	99.2%	99%	99.3%	94.4%	93.8%	95.1%
23	99.2%	99.1%	99.3%	94.6%	94%	95.2%
22	99.2%	99.1%	99.3%	94.8%	94.2%	95.4%
21	99.2%	99.1%	99.3%	95%	94.4%	95.5%
20	99.3%	99.2%	99.4%	95.1%	94.6%	95.6%
19	99.3%	99.2%	99.4%	95.3%	94.8%	95.7%
18	99.3%	99.2%	99.4%	95.4%	95%	95.8%
17	99.3%	99.3%	99.4%	95.5%	95.1%	95.9%
16	99.4%	99.3%	99.4%	95.6%	95.2%	96%
15	99.4%	99.3%	99.5%	95.7%	95.3%	96.1%
14	99.4%	99.4%	99.5%	95.8%	95.4%	96.1%
13	99.4%	99.4%	99.5%	95.8%	95.5%	96.2%
12	99.4%	99.4%	99.5%	95.9%	95.5%	96.2%
11	99.4%	99.4%	99.5%	95.9%	95.6%	96.3%
10	99.5%	99.4%	99.5%	96%	95.7%	96.4%
9	99.5%	99.4%	99.5%	96.1%	95.7%	96.4%
8	99.5%	99.4%	99.5%	96.1%	95.8%	96.5%
7	99.5%	99.4%	99.5%	96.2%	95.9%	96.5%
6	99.5%	99.4%	99.5%	96.3%	96%	96.6%
5	99.5%	99.4%	99.6%	96.4%	96.1%	96.7%
4	99.5%	99.5%	99.6%	96.5%	96.2%	96.8%
3	99.5%	99.5%	99.6%	96.7%	96.4%	97%
2	99.6%	99.5%	99.6%	96.9%	96.6%	97.2%
1	99.6%	99.5%	99.6%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 95.7% of newborns in Maldives and 73.3% in Tanzania are expected to live past 60, 87.9% and 55.7% past 70, 65% and 31.5% past 80, and only 23.1% 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

Maldives

Male

Female

Tanzania

Male

Female

1x

Age	Probability of dying
	Maldives			Tanzania
	Average	Male	Female	Average	Male	Female
100	35.6%	38.6%	34.4%	29.4%	38.6%	28.4%
99	33.5%	36.4%	32.2%	28.3%	37.1%	27.2%
98	31.4%	34.2%	29.9%	26.8%	35.3%	25.5%
97	29.3%	32%	27.7%	25.7%	33.9%	24.3%
96	27.2%	29.8%	25.5%	24.5%	32.3%	23%
95	25.1%	27.6%	23.4%	23.3%	30.7%	21.6%
94	23.2%	25.5%	21.5%	21.8%	28.9%	20.1%
93	21.4%	23.6%	19.6%	20.6%	27.3%	18.7%
92	19.7%	22%	17.9%	19.4%	25.7%	17.5%
91	18.2%	20.4%	16.3%	18.1%	24%	16%
90	16.6%	18.8%	14.8%	17.4%	22.9%	15.3%
89	15.1%	17.1%	13.4%	16.1%	21.3%	13.9%
88	13.7%	15.6%	12.1%	15.2%	20%	13%
87	12.4%	14%	10.9%	14.2%	18.6%	12%
86	11.1%	12.6%	9.74%	13.3%	17.3%	11.1%
85	9.95%	11.2%	8.69%	12.3%	16%	10.2%
84	8.88%	9.96%	7.72%	11.4%	14.9%	9.37%
83	7.89%	8.85%	6.84%	10.4%	13.7%	8.46%
82	7.01%	7.88%	6.03%	9.6%	12.6%	7.7%
81	6.22%	7.02%	5.3%	8.6%	11.4%	6.8%
80	5.5%	6.26%	4.65%	8.09%	10.6%	6.4%
79	4.87%	5.6%	4.08%	7.47%	9.73%	5.95%
78	4.31%	5%	3.57%	7.01%	9.02%	5.65%
77	3.8%	4.45%	3.14%	6.47%	8.26%	5.24%
76	3.36%	3.95%	2.75%	6.05%	7.65%	4.95%
75	2.96%	3.5%	2.41%	5.63%	7.08%	4.66%
74	2.62%	3.1%	2.12%	5.22%	6.52%	4.35%
73	2.31%	2.74%	1.86%	4.83%	6.02%	4.06%
72	2.04%	2.42%	1.62%	4.5%	5.58%	3.8%
71	1.8%	2.14%	1.42%	4.12%	5.1%	3.49%
70	1.59%	1.9%	1.24%	3.91%	4.8%	3.33%
69	1.4%	1.69%	1.08%	3.59%	4.41%	3.06%
68	1.24%	1.5%	0.96%	3.37%	4.12%	2.88%
67	1.1%	1.33%	0.85%	3.16%	3.84%	2.7%
66	0.97%	1.17%	0.75%	2.97%	3.6%	2.54%
65	0.85%	1.02%	0.66%	2.83%	3.4%	2.41%
64	0.74%	0.88%	0.58%	2.61%	3.15%	2.2%
63	0.65%	0.77%	0.51%	2.42%	2.92%	2.02%
62	0.57%	0.67%	0.45%	2.25%	2.71%	1.86%
61	0.5%	0.58%	0.4%	2.06%	2.49%	1.7%
60	0.44%	0.5%	0.35%	1.94%	2.34%	1.58%
59	0.38%	0.44%	0.31%	1.78%	2.14%	1.44%
58	0.33%	0.38%	0.28%	1.66%	1.99%	1.34%
57	0.29%	0.33%	0.24%	1.54%	1.85%	1.24%
56	0.26%	0.29%	0.21%	1.44%	1.73%	1.16%
55	0.23%	0.25%	0.19%	1.35%	1.62%	1.09%
54	0.2%	0.22%	0.17%	1.26%	1.52%	1.02%
53	0.17%	0.19%	0.14%	1.18%	1.42%	0.95%
52	0.15%	0.16%	0.12%	1.11%	1.34%	0.9%
51	0.13%	0.15%	0.1%	1.03%	1.24%	0.83%
50	0.13%	0.15%	0.09%	0.97%	1.17%	0.79%
49	0.12%	0.14%	0.08%	0.9%	1.08%	0.73%
48	0.12%	0.14%	0.08%	0.84%	1.01%	0.68%
47	0.11%	0.12%	0.07%	0.78%	0.94%	0.63%
46	0.1%	0.11%	0.07%	0.73%	0.88%	0.59%
45	0.08%	0.09%	0.07%	0.69%	0.83%	0.56%
44	0.07%	0.08%	0.06%	0.64%	0.77%	0.52%
43	0.06%	0.06%	0.06%	0.6%	0.72%	0.49%
42	0.05%	0.05%	0.05%	0.57%	0.68%	0.47%
41	0.05%	0.05%	0.05%	0.53%	0.63%	0.44%
40	0.04%	0.04%	0.04%	0.51%	0.6%	0.42%
39	0.04%	0.04%	0.04%	0.47%	0.56%	0.39%
38	0.04%	0.04%	0.04%	0.45%	0.53%	0.37%
37	0.03%	0.04%	0.03%	0.42%	0.5%	0.34%
36	0.03%	0.03%	0.03%	0.39%	0.47%	0.33%
35	0.03%	0.03%	0.02%	0.37%	0.44%	0.31%
34	0.03%	0.03%	0.02%	0.35%	0.41%	0.29%
33	0.03%	0.03%	0.02%	0.33%	0.39%	0.27%
32	0.03%	0.03%	0.02%	0.31%	0.37%	0.25%
31	0.03%	0.03%	0.02%	0.29%	0.34%	0.24%
30	0.03%	0.03%	0.02%	0.28%	0.33%	0.23%
29	0.03%	0.03%	0.02%	0.26%	0.31%	0.21%
28	0.03%	0.03%	0.02%	0.25%	0.3%	0.2%
27	0.03%	0.03%	0.02%	0.24%	0.28%	0.19%
26	0.03%	0.03%	0.02%	0.22%	0.27%	0.18%
25	0.02%	0.03%	0.02%	0.21%	0.26%	0.17%
24	0.02%	0.03%	0.02%	0.2%	0.25%	0.16%
23	0.02%	0.03%	0.02%	0.19%	0.24%	0.15%
22	0.02%	0.03%	0.02%	0.18%	0.23%	0.14%
21	0.02%	0.03%	0.02%	0.17%	0.21%	0.13%
20	0.03%	0.03%	0.02%	0.16%	0.2%	0.13%
19	0.03%	0.04%	0.02%	0.15%	0.18%	0.12%
18	0.03%	0.04%	0.02%	0.14%	0.17%	0.11%
17	0.03%	0.04%	0.02%	0.12%	0.14%	0.1%
16	0.03%	0.03%	0.02%	0.1%	0.12%	0.09%
15	0.02%	0.03%	0.01%	0.09%	0.1%	0.08%
14	0.02%	0.03%	0.01%	0.08%	0.09%	0.07%
13	0.02%	0.02%	0.01%	0.07%	0.08%	0.06%
12	0.01%	0.02%	0.009%	0.06%	0.07%	0.06%
11	0.01%	0.01%	0.008%	0.06%	0.07%	0.05%
10	0.009%	0.01%	0.009%	0.06%	0.07%	0.05%
9	0.008%	0.008%	0.009%	0.06%	0.07%	0.06%
8	0.008%	0.006%	0.01%	0.07%	0.07%	0.06%
7	0.009%	0.006%	0.01%	0.08%	0.08%	0.07%
6	0.01%	0.006%	0.01%	0.08%	0.09%	0.08%
5	0.01%	0.008%	0.02%	0.1%	0.11%	0.09%
4	0.01%	0.01%	0.02%	0.13%	0.14%	0.12%
3	0.02%	0.02%	0.02%	0.18%	0.18%	0.17%
2	0.02%	0.02%	0.02%	0.25%	0.26%	0.25%
1	0.03%	0.04%	0.02%	0.41%	0.41%	0.4%
0	0.41%	0.47%	0.36%	2.69%	2.99%	2.38%

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

The annual chance of dying is 0.41% in the birth year in Maldives and 2.69% in Tanzania, 0.03% vs 0.28% at age 30, 0.44% vs 1.94% at 60, and 5.5% vs 8.09% at 80.

Death rate by age in Maldives vs Tanzania

Chart Table

Maldives

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	Maldives			Tanzania
	Total	Male	Female	Total	Male	Female
100	325	138.2	585	140.1	0.71	294.9
99	677	441	994	266.5	72.6	478
98	924	629	1,317	344	107.1	602
97	1,219	866	1,683	444	155.1	756
96	1,555	1,150	2,080	562	218.8	930
95	1,918	1,469	2,493	695	300	1,116
94	2,305	1,824	2,913	834	398	1,297
93	2,704	2,213	3,314	989	516	1,486
92	3,109	2,641	3,680	1,159	656	1,682
91	3,495	3,081	3,999	1,316	805	1,836
90	3,834	3,482	4,262	1,536	994	2,078
89	4,117	3,840	4,455	1,690	1,174	2,190
88	4,335	4,131	4,574	1,881	1,377	2,351
87	4,464	4,327	4,616	2,045	1,575	2,462
86	4,507	4,430	4,581	2,207	1,777	2,566
85	4,475	4,448	4,476	2,336	1,957	2,629
84	4,381	4,394	4,313	2,452	2,143	2,662
83	4,230	4,285	4,099	2,499	2,269	2,625
82	4,039	4,139	3,847	2,540	2,389	2,588
81	3,819	3,968	3,571	2,490	2,434	2,451
80	3,577	3,777	3,283	2,549	2,548	2,467
79	3,332	3,578	3,002	2,545	2,586	2,439
78	3,077	3,363	2,730	2,569	2,636	2,453
77	2,824	3,134	2,472	2,533	2,630	2,402
76	2,578	2,896	2,230	2,519	2,638	2,384
75	2,342	2,656	2,004	2,489	2,625	2,358
74	2,128	2,426	1,798	2,431	2,589	2,297
73	1,925	2,206	1,606	2,367	2,543	2,235
72	1,734	2,000	1,427	2,309	2,496	2,179
71	1,557	1,809	1,264	2,205	2,404	2,072
70	1,394	1,633	1,117	2,174	2,375	2,046
69	1,250	1,475	990	2,072	2,284	1,936
68	1,120	1,328	880	2,015	2,226	1,877
67	1,004	1,193	786	1,948	2,160	1,806
66	898	1,065	704	1,889	2,097	1,743
65	792	937	625	1,848	2,051	1,698
64	695	819	553	1,753	1,961	1,588
63	612	718	490	1,666	1,874	1,488
62	539	629	434	1,583	1,789	1,396
61	474	549	384	1,484	1,686	1,293
60	417	480	340	1,422	1,617	1,227
59	367	420	301	1,327	1,514	1,135
58	323	367	267.1	1,257	1,436	1,069
57	283.5	319	236	1,185	1,359	1,002
56	249	278.5	208.9	1,126	1,294	949
55	219.5	243.4	186	1,069	1,234	895
54	191.4	211	163.2	1,015	1,174	848
53	163.3	180.4	137.9	962	1,116	802
52	143.2	160.2	116.9	914	1,062	763
51	130.8	149.2	101.3	856	999	711
50	123.4	143.4	89.9	817	955	680
49	118.4	139.1	81.8	761	892	633
48	113.1	132.9	76.1	716	840	596
47	104.9	121.9	71.9	671	789	558
46	94.2	107	68.5	632	744	525
45	82.3	90.6	65.4	599	705	498
44	71.1	75.4	62.1	563	661	469
43	61.4	62.8	58.5	533	625	445
42	53.8	53.7	54.1	507	593	423
41	47.4	46.5	49.3	476	557	397
40	42.6	41.8	44.3	455	533	380
39	38.8	38.6	39.4	428	500	357
38	35.9	36.5	34.7	405	473	338
37	33.6	34.9	30.5	382	446	318
36	31.6	33.7	26.8	361	420	301
35	29.9	32.5	23.8	341	398	284.4
34	28.7	31.5	21.7	321	375	266.3
33	27.9	30.8	20.6	303	353	251.3
32	27.5	30.4	20.2	286.8	335	237.8
31	27.5	30.2	20.6	269.7	316	222.6
30	27.6	30.1	21.6	258.9	303	213.8
29	27.8	29.9	22.7	245	287.2	202.1
28	27.5	29.4	23.3	233.1	274.4	191
27	26.7	28.6	22.9	222.2	262.5	181.1
26	25.3	27.6	21.1	211.5	251.5	171
25	23.6	26.6	18.8	201.9	242.2	161.1
24	22.2	26	16.8	192.7	232.5	152.5
23	21.5	26	15.5	183.7	223.1	143.7
22	21.7	26.9	15.2	174.2	212.6	135.4
21	22.8	28.9	15.8	164	200.4	127
20	24.8	31.7	17	154.3	187.4	120.7
19	27.1	34.8	18.4	142.8	172.9	112.2
18	28.5	36.7	19.2	130.5	157.1	103.4
17	28.3	36.4	18.7	114.1	134.6	93.3
16	26	33.8	16.9	98.8	113.8	83.6
15	22.8	29.9	14.4	85	95.7	74
14	19.2	25.4	12	73.3	81.7	64.7
13	15.9	20.8	10.2	65.1	71.8	58.2
12	13	16.4	8.97	60	66.3	53.6
11	10.6	12.5	8.43	57.8	63.8	51.6
10	9.11	9.6	8.55	57.7	63	52.2
9	8.4	7.62	9.27	59.9	65.2	54.4
8	8.32	6.36	10.5	64.7	70.4	58.8
7	8.86	5.9	12.2	72.2	78.1	66.1
6	10	6.46	14	81.7	87.3	76
5	11.9	8.22	15.9	96.7	101.8	91.4
4	14.4	11.3	17.7	125.6	131.7	119.3
3	17.8	16.2	19.4	171.2	177.9	164.3
2	23	24.4	21.4	246.7	252.7	240.5
1	31.1	37.9	24.1	394	394	394
0	412	465	356	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 Maldives, the most common age of death is 86, compared to 0 in Tanzania. The median age of death is 83.8 in Maldives 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 Maldives and Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x