Life Expectancy in India vs Tonga (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in India vs Tonga: 75.5 years vs 75 at 30, 80.9 vs 80.6 at 65, 87.6 vs 87 at 80 — significantly higher than the 72.5 vs 73.2 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in India and Tonga.

Table

Current age, years	Total life expectancy, years
	India			Tonga
	Average	Male	Female	Average	Male	Female
0	72.5	71	74.1	73.2	69.6	76.7
1	74.1	72.5	75.8	73.8	70.3	77.2
2	74.3	72.7	76	73.9	70.3	77.3
3	74.4	72.8	76.1	73.9	70.4	77.3
4	74.4	72.9	76.1	73.9	70.4	77.3
5	74.5	72.9	76.2	74	70.4	77.4
6	74.5	73	76.2	74	70.4	77.4
7	74.6	73	76.3	74	70.5	77.4
8	74.6	73	76.3	74	70.5	77.4
9	74.6	73.1	76.3	74	70.5	77.4
10	74.7	73.1	76.4	74.1	70.5	77.4
11	74.7	73.1	76.4	74.1	70.5	77.5
12	74.7	73.1	76.4	74.1	70.5	77.5
13	74.7	73.1	76.4	74.1	70.6	77.5
14	74.7	73.2	76.4	74.1	70.6	77.5
15	74.8	73.2	76.5	74.1	70.6	77.5
16	74.8	73.2	76.5	74.2	70.6	77.6
17	74.8	73.3	76.5	74.2	70.7	77.6
18	74.9	73.3	76.6	74.3	70.7	77.6
19	74.9	73.3	76.6	74.3	70.8	77.7
20	75	73.4	76.7	74.4	70.9	77.7
21	75	73.4	76.7	74.5	71	77.8
22	75.1	73.5	76.7	74.5	71.1	77.8
23	75.1	73.5	76.8	74.6	71.2	77.8
24	75.2	73.6	76.8	74.6	71.2	77.9
25	75.2	73.7	76.9	74.7	71.3	77.9
26	75.3	73.7	76.9	74.8	71.4	78
27	75.3	73.8	77	74.8	71.5	78
28	75.4	73.8	77	74.9	71.6	78.1
29	75.4	73.9	77.1	75	71.7	78.1
30	75.5	74	77.1	75	71.8	78.1
31	75.5	74	77.2	75.1	71.8	78.2
32	75.6	74.1	77.2	75.1	71.9	78.2
33	75.7	74.2	77.3	75.2	72	78.3
34	75.7	74.3	77.3	75.3	72.1	78.3
35	75.8	74.4	77.4	75.3	72.2	78.4
36	75.9	74.4	77.4	75.4	72.3	78.5
37	76	74.5	77.5	75.5	72.4	78.5
38	76	74.6	77.5	75.6	72.5	78.6
39	76.1	74.7	77.6	75.7	72.6	78.6
40	76.2	74.8	77.7	75.8	72.7	78.7
41	76.3	74.9	77.7	75.8	72.8	78.8
42	76.4	75.1	77.8	75.9	73	78.9
43	76.5	75.2	77.9	76	73.1	78.9
44	76.6	75.3	77.9	76.2	73.2	79
45	76.7	75.4	78	76.3	73.4	79.1
46	76.8	75.6	78.1	76.4	73.6	79.2
47	76.9	75.7	78.2	76.5	73.7	79.3
48	77.1	75.9	78.3	76.7	73.9	79.4
49	77.2	76	78.4	76.8	74.1	79.5
50	77.3	76.2	78.5	77	74.3	79.7
51	77.5	76.4	78.6	77.1	74.5	79.8
52	77.6	76.6	78.8	77.3	74.7	79.9
53	77.8	76.7	78.9	77.5	74.9	80.1
54	78	77	79.1	77.7	75.2	80.2
55	78.2	77.2	79.2	77.9	75.4	80.3
56	78.4	77.4	79.4	78.1	75.7	80.5
57	78.6	77.7	79.6	78.3	75.9	80.7
58	78.9	77.9	79.8	78.6	76.2	80.8
59	79.1	78.2	80.1	78.8	76.5	81
60	79.4	78.5	80.3	79.1	76.8	81.2
61	79.7	78.8	80.5	79.4	77.2	81.4
62	79.9	79.1	80.8	79.6	77.5	81.6
63	80.2	79.4	81	79.9	77.9	81.8
64	80.5	79.8	81.3	80.2	78.2	82.1
65	80.9	80.1	81.6	80.6	78.6	82.3
66	81.2	80.5	81.9	80.9	79	82.5
67	81.5	80.9	82.2	81.2	79.4	82.8
68	81.9	81.3	82.5	81.6	79.9	83.1
69	82.3	81.7	82.9	82	80.3	83.4
70	82.7	82.1	83.3	82.3	80.8	83.7
71	83.1	82.6	83.6	82.7	81.2	84
72	83.6	83	84	83.1	81.7	84.3
73	84	83.5	84.5	83.6	82.2	84.6
74	84.5	84	84.9	84	82.7	85
75	85	84.5	85.3	84.5	83.3	85.4
76	85.5	85.1	85.8	84.9	83.8	85.8
77	86	85.6	86.3	85.4	84.4	86.2
78	86.5	86.2	86.8	85.9	85	86.6
79	87.1	86.8	87.3	86.5	85.6	87.1
80	87.6	87.4	87.9	87	86.2	87.6
81	88.2	88	88.4	87.6	86.8	88.1
82	88.9	88.6	89	88.2	87.5	88.7
83	89.5	89.3	89.6	88.8	88.2	89.2
84	90.1	89.9	90.3	89.4	88.9	89.8
85	90.8	90.6	90.9	90.1	89.6	90.4
86	91.4	91.3	91.5	90.8	90.3	91
87	92.1	92	92.2	91.5	91	91.7
88	92.8	92.7	92.9	92.2	91.8	92.4
89	93.6	93.5	93.6	92.9	92.5	93.1
90	94.3	94.2	94.3	93.7	93.3	93.8
91	95	95	95.1	94.4	94.1	94.6
92	95.8	95.8	95.9	95.2	94.9	95.3
93	96.6	96.6	96.6	96	95.8	96.1
94	97.4	97.4	97.4	96.9	96.6	96.9
95	98.2	98.2	98.2	97.7	97.5	97.7
96	99	99	99.1	98.5	98.3	98.6
97	99.9	99.9	99.9	99.4	99.2	99.4
98	100.7	100.7	100.8	100.3	100.1	100.3
99	101.6	101.6	101.6	101.2	101	101.2
100	102.5	102.4	102.5	102.1	101.8	102.1

Odds of living to age in India vs Tonga

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 82.6% in India and 83.3% in Tonga are expected to survive till at least 60 years old, 66.7% and 67.3% will live to 70 years or older, 40% and 40.2% to 80+ years, and 12.2% and 10.4% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	India			Tonga
	Average	Male	Female	Average	Male	Female
1	97.8%	97.8%	97.9%	99.2%	99.1%	99.3%
2	97.5%	97.5%	97.6%	99.1%	99%	99.2%
3	97.4%	97.5%	97.4%	99.1%	99%	99.2%
4	97.4%	97.4%	97.4%	99%	98.9%	99.2%
5	97.3%	97.3%	97.3%	99%	98.9%	99.1%
6	97.2%	97.2%	97.2%	99%	98.8%	99.1%
7	97.2%	97.2%	97.2%	98.9%	98.8%	99.1%
8	97.1%	97.1%	97.1%	98.9%	98.8%	99%
9	97.1%	97.1%	97.1%	98.9%	98.8%	99%
10	97.1%	97%	97.1%	98.9%	98.7%	99%
11	97%	97%	97%	98.8%	98.7%	99%
12	97%	97%	97%	98.8%	98.7%	99%
13	97%	97%	97%	98.8%	98.6%	98.9%
14	96.9%	96.9%	96.9%	98.7%	98.6%	98.9%
15	96.9%	96.9%	96.9%	98.7%	98.6%	98.9%
16	96.8%	96.8%	96.8%	98.7%	98.5%	98.8%
17	96.7%	96.7%	96.8%	98.6%	98.4%	98.8%
18	96.7%	96.7%	96.7%	98.5%	98.3%	98.7%
19	96.6%	96.6%	96.6%	98.4%	98.2%	98.6%
20	96.5%	96.5%	96.6%	98.3%	98%	98.6%
21	96.5%	96.4%	96.5%	98.2%	97.9%	98.5%
22	96.4%	96.3%	96.4%	98.1%	97.7%	98.4%
23	96.3%	96.2%	96.3%	97.9%	97.5%	98.3%
24	96.2%	96.1%	96.3%	97.8%	97.3%	98.3%
25	96.1%	96%	96.2%	97.7%	97.2%	98.2%
26	96%	95.9%	96.1%	97.6%	97%	98.1%
27	95.9%	95.8%	96%	97.4%	96.8%	98%
28	95.8%	95.6%	95.9%	97.3%	96.6%	97.9%
29	95.6%	95.5%	95.8%	97.2%	96.4%	97.9%
30	95.5%	95.4%	95.7%	97.1%	96.2%	97.8%
31	95.4%	95.2%	95.6%	96.9%	96%	97.7%
32	95.3%	95.1%	95.5%	96.8%	95.8%	97.6%
33	95.1%	94.9%	95.4%	96.6%	95.6%	97.5%
34	95%	94.7%	95.3%	96.5%	95.4%	97.4%
35	94.8%	94.5%	95.2%	96.3%	95.1%	97.2%
36	94.7%	94.3%	95.1%	96.1%	94.9%	97.1%
37	94.5%	94%	94.9%	95.9%	94.6%	97%
38	94.3%	93.8%	94.8%	95.7%	94.3%	96.8%
39	94.1%	93.5%	94.7%	95.5%	94%	96.7%
40	93.8%	93.3%	94.5%	95.3%	93.7%	96.5%
41	93.6%	93%	94.3%	95%	93.4%	96.3%
42	93.4%	92.6%	94.1%	94.8%	93%	96.1%
43	93.1%	92.3%	93.9%	94.5%	92.6%	95.9%
44	92.8%	91.9%	93.7%	94.2%	92.2%	95.7%
45	92.5%	91.5%	93.5%	93.8%	91.7%	95.4%
46	92.1%	91.1%	93.2%	93.4%	91.2%	95.1%
47	91.8%	90.6%	93%	93%	90.6%	94.9%
48	91.4%	90.1%	92.7%	92.6%	90%	94.5%
49	90.9%	89.6%	92.4%	92.1%	89.4%	94.2%
50	90.5%	89.1%	92%	91.6%	88.7%	93.8%
51	90%	88.5%	91.6%	91%	87.9%	93.4%
52	89.5%	87.9%	91.2%	90.4%	87.1%	93%
53	88.9%	87.2%	90.7%	89.7%	86.2%	92.5%
54	88.2%	86.4%	90.1%	89%	85.3%	92%
55	87.4%	85.6%	89.5%	88.2%	84.2%	91.5%
56	86.6%	84.6%	88.8%	87.4%	83.2%	90.9%
57	85.7%	83.6%	88%	86.5%	82%	90.2%
58	84.8%	82.5%	87.2%	85.5%	80.7%	89.6%
59	83.7%	81.3%	86.3%	84.5%	79.4%	88.8%
60	82.6%	80.1%	85.4%	83.3%	78%	88.1%
61	81.5%	78.8%	84.4%	82.1%	76.5%	87.2%
62	80.2%	77.4%	83.3%	80.8%	74.8%	86.3%
63	78.9%	75.9%	82.2%	79.4%	73.1%	85.4%
64	77.5%	74.4%	80.9%	78%	71.2%	84.3%
65	76%	72.7%	79.6%	76.5%	69.3%	83.2%
66	74.4%	71%	78.1%	74.8%	67.3%	82%
67	72.7%	69.1%	76.5%	73.1%	65.1%	80.7%
68	70.8%	67.1%	74.8%	71.3%	62.8%	79.3%
69	68.8%	65%	73%	69.3%	60.5%	77.8%
70	66.7%	62.8%	71%	67.3%	58%	76.2%
71	64.5%	60.4%	68.9%	65.1%	55.5%	74.4%
72	62.1%	57.9%	66.7%	62.8%	52.8%	72.5%
73	59.7%	55.3%	64.4%	60.4%	50.1%	70.4%
74	57.1%	52.7%	61.9%	57.9%	47.3%	68.2%
75	54.5%	50%	59.3%	55.2%	44.4%	65.8%
76	51.8%	47.2%	56.6%	52.4%	41.5%	63.3%
77	48.9%	44.4%	53.8%	49.5%	38.5%	60.5%
78	46%	41.5%	50.9%	46.5%	35.5%	57.6%
79	43.1%	38.6%	47.9%	43.4%	32.4%	54.5%
80	40%	35.7%	44.7%	40.2%	29.4%	51.2%
81	37%	32.7%	41.6%	36.9%	26.5%	47.8%
82	33.9%	29.8%	38.3%	33.7%	23.6%	44.2%
83	30.9%	26.9%	35.1%	30.4%	20.8%	40.5%
84	27.9%	24.1%	31.9%	27.2%	18.1%	36.7%
85	25%	21.5%	28.7%	24%	15.6%	32.9%
86	22.1%	18.9%	25.6%	20.9%	13.2%	29.2%
87	19.4%	16.5%	22.6%	18%	11.1%	25.5%
88	16.9%	14.2%	19.7%	15.3%	9.12%	21.9%
89	14.5%	12.1%	17%	12.7%	7.38%	18.6%
90	12.2%	10.2%	14.4%	10.4%	5.87%	15.5%
91	10.2%	8.43%	12.1%	8.41%	4.58%	12.6%
92	8.39%	6.88%	9.97%	6.64%	3.49%	10.1%
93	6.79%	5.54%	8.09%	5.12%	2.61%	7.9%
94	5.4%	4.39%	6.45%	3.86%	1.9%	6.04%
95	4.22%	3.42%	5.06%	2.85%	1.35%	4.5%
96	3.24%	2.62%	3.89%	2.06%	0.94%	3.27%
97	2.43%	1.96%	2.92%	1.45%	0.64%	2.31%
98	1.79%	1.45%	2.15%	0.99%	0.42%	1.58%
99	1.29%	1.04%	1.55%	0.66%	0.27%	1.05%
100	0.91%	0.73%	1.08%	0.42%	0.17%	0.68%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 2.17% in the birth year in India and 0.84% in Tonga, 0.13% vs 0.14% at age 30, 1.4% vs 1.47% at 60, and 7.65% vs 8.04% at 80.

Below is a graph displaying the probabilities of dying in India compared to Tonga at any given age.

Table

Age	Probability of dying
	India			Tonga
	Average	Male	Female	Average	Male	Female
0	2.17%	2.2%	2.14%	0.84%	0.94%	0.73%
1	0.29%	0.26%	0.31%	0.05%	0.05%	0.04%
2	0.11%	0.1%	0.12%	0.04%	0.05%	0.04%
3	0.08%	0.07%	0.08%	0.04%	0.04%	0.03%
4	0.08%	0.08%	0.08%	0.04%	0.04%	0.03%
5	0.07%	0.07%	0.07%	0.03%	0.04%	0.03%
6	0.06%	0.06%	0.06%	0.03%	0.03%	0.03%
7	0.05%	0.05%	0.05%	0.03%	0.03%	0.03%
8	0.04%	0.04%	0.04%	0.03%	0.03%	0.02%
9	0.03%	0.03%	0.03%	0.02%	0.03%	0.02%
10	0.03%	0.03%	0.03%	0.02%	0.03%	0.02%
11	0.03%	0.03%	0.03%	0.03%	0.03%	0.02%
12	0.04%	0.04%	0.04%	0.03%	0.03%	0.03%
13	0.04%	0.04%	0.04%	0.03%	0.04%	0.03%
14	0.05%	0.05%	0.05%	0.04%	0.05%	0.04%
15	0.06%	0.06%	0.06%	0.05%	0.06%	0.04%
16	0.06%	0.07%	0.06%	0.07%	0.08%	0.05%
17	0.07%	0.07%	0.06%	0.09%	0.11%	0.06%
18	0.07%	0.08%	0.07%	0.1%	0.13%	0.07%
19	0.08%	0.08%	0.07%	0.11%	0.15%	0.07%
20	0.08%	0.09%	0.07%	0.12%	0.17%	0.08%
21	0.09%	0.1%	0.08%	0.12%	0.18%	0.08%
22	0.09%	0.1%	0.08%	0.12%	0.18%	0.07%
23	0.1%	0.11%	0.09%	0.12%	0.18%	0.07%
24	0.11%	0.12%	0.09%	0.13%	0.18%	0.08%
25	0.11%	0.13%	0.09%	0.13%	0.18%	0.08%
26	0.11%	0.13%	0.09%	0.13%	0.19%	0.08%
27	0.12%	0.14%	0.1%	0.13%	0.19%	0.09%
28	0.12%	0.14%	0.1%	0.13%	0.2%	0.09%
29	0.12%	0.14%	0.1%	0.14%	0.2%	0.09%
30	0.13%	0.15%	0.1%	0.14%	0.21%	0.1%
31	0.14%	0.17%	0.1%	0.15%	0.22%	0.1%
32	0.15%	0.18%	0.11%	0.16%	0.23%	0.11%
33	0.16%	0.2%	0.11%	0.16%	0.24%	0.12%
34	0.17%	0.22%	0.12%	0.17%	0.25%	0.12%
35	0.18%	0.23%	0.13%	0.18%	0.26%	0.13%
36	0.2%	0.25%	0.14%	0.2%	0.28%	0.14%
37	0.21%	0.26%	0.15%	0.21%	0.3%	0.15%
38	0.22%	0.28%	0.16%	0.23%	0.32%	0.16%
39	0.23%	0.29%	0.17%	0.24%	0.35%	0.18%
40	0.25%	0.31%	0.18%	0.26%	0.37%	0.19%
41	0.27%	0.34%	0.19%	0.28%	0.4%	0.2%
42	0.29%	0.37%	0.21%	0.31%	0.43%	0.22%
43	0.32%	0.4%	0.23%	0.34%	0.47%	0.24%
44	0.35%	0.44%	0.25%	0.37%	0.51%	0.26%
45	0.38%	0.48%	0.27%	0.41%	0.56%	0.29%
46	0.4%	0.51%	0.29%	0.44%	0.61%	0.31%
47	0.43%	0.54%	0.32%	0.48%	0.66%	0.34%
48	0.46%	0.57%	0.35%	0.52%	0.72%	0.37%
49	0.5%	0.6%	0.38%	0.57%	0.79%	0.4%
50	0.54%	0.65%	0.43%	0.63%	0.86%	0.43%
51	0.6%	0.71%	0.48%	0.67%	0.93%	0.46%
52	0.67%	0.79%	0.55%	0.72%	1.01%	0.5%
53	0.75%	0.88%	0.62%	0.8%	1.1%	0.54%
54	0.85%	0.99%	0.7%	0.88%	1.19%	0.59%
55	0.94%	1.1%	0.78%	0.96%	1.29%	0.64%
56	1.03%	1.21%	0.86%	1.03%	1.4%	0.69%
57	1.12%	1.31%	0.93%	1.11%	1.52%	0.75%
58	1.21%	1.42%	1%	1.21%	1.65%	0.81%
59	1.3%	1.52%	1.08%	1.33%	1.8%	0.88%
60	1.4%	1.63%	1.16%	1.47%	1.96%	0.95%
61	1.51%	1.76%	1.26%	1.59%	2.13%	1.02%
62	1.64%	1.89%	1.38%	1.69%	2.32%	1.11%
63	1.78%	2.04%	1.52%	1.82%	2.52%	1.21%
64	1.94%	2.21%	1.68%	1.96%	2.73%	1.32%
65	2.13%	2.41%	1.85%	2.12%	2.96%	1.44%
66	2.33%	2.63%	2.04%	2.32%	3.2%	1.58%
67	2.56%	2.89%	2.24%	2.52%	3.46%	1.74%
68	2.8%	3.16%	2.46%	2.75%	3.75%	1.91%
69	3.07%	3.47%	2.69%	2.97%	4.06%	2.11%
70	3.35%	3.78%	2.94%	3.23%	4.4%	2.32%
71	3.64%	4.1%	3.21%	3.54%	4.77%	2.56%
72	3.95%	4.43%	3.5%	3.81%	5.18%	2.84%
73	4.27%	4.77%	3.81%	4.16%	5.62%	3.14%
74	4.62%	5.13%	4.16%	4.61%	6.1%	3.49%
75	5.01%	5.52%	4.54%	5.05%	6.62%	3.89%
76	5.44%	5.97%	4.97%	5.56%	7.19%	4.34%
77	5.92%	6.47%	5.44%	6.11%	7.82%	4.84%
78	6.45%	7.02%	5.96%	6.71%	8.51%	5.41%
79	7.03%	7.63%	6.52%	7.35%	9.27%	6.04%
80	7.65%	8.27%	7.13%	8.04%	10.1%	6.74%
81	8.3%	8.94%	7.78%	8.89%	11%	7.51%
82	8.98%	9.63%	8.46%	9.71%	11.9%	8.37%
83	9.7%	10.3%	9.19%	10.6%	12.9%	9.3%
84	10.5%	11.1%	9.97%	11.7%	14%	10.3%
85	11.3%	11.9%	10.8%	12.8%	15.1%	11.4%
86	12.2%	12.8%	11.7%	14%	16.3%	12.6%
87	13.2%	13.8%	12.7%	15.1%	17.6%	13.9%
88	14.2%	14.8%	13.8%	16.6%	19%	15.3%
89	15.4%	16%	15%	18.1%	20.5%	16.8%
90	16.6%	17.1%	16.2%	19.4%	22.1%	18.3%
91	17.9%	18.4%	17.5%	21%	23.7%	20%
92	19.1%	19.6%	18.8%	22.9%	25.4%	21.7%
93	20.4%	20.8%	20.2%	24.6%	27.1%	23.6%
94	21.8%	22.1%	21.7%	26%	28.8%	25.4%
95	23.3%	23.5%	23.2%	27.7%	30.5%	27.4%
96	24.8%	24.9%	24.8%	29.6%	32.3%	29.4%
97	26.4%	26.4%	26.4%	31.8%	34.1%	31.4%
98	28%	27.9%	28.1%	33.8%	35.9%	33.5%
99	29.7%	29.5%	29.8%	35.5%	37.7%	35.5%
100	31.3%	31%	31.5%	37.7%	39.5%	37.5%

Death rate by age in India compared to Tonga

In India, the most common age of death is 81, compared to 81 in Tonga. The median age of death is 76.6 in India and 76.8 in Tonga — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	India			Tonga
	Total	Male	Female	Total	Male	Female
0	2,170	2,200	2,140	836	937	726
1	279.9	256.2	305	45.6	50.4	40.4
2	104.1	93.4	115.6	42.3	46.8	37.4
3	76.4	71.5	81.7	39.1	43.3	34.6
4	74.7	74.2	75.1	36.1	39.9	32.1
5	68.8	71	66.4	33.2	36.5	29.7
6	59.1	62.2	55.7	30.5	33.2	27.5
7	48	50.9	44.8	27.9	30.2	25.5
8	37.7	39.8	35.5	25.8	27.6	23.9
9	30.9	32.1	29.5	24.4	25.8	23
10	29.3	30.1	28.3	24.1	25.2	22.8
11	31.3	32	30.6	25	26.2	23.8
12	35.3	35.8	34.8	27.7	29.4	26.1
13	41.6	42.1	41.2	32.9	35.5	30.1
14	49	49.5	48.4	41.2	45.7	36.1
15	55.8	56.8	54.6	53.1	61.2	44.1
16	61.3	63.2	59.3	68.2	82.2	53.2
17	65.7	68.6	62.4	84.5	106.8	62.1
18	69.4	73.7	64.6	100.4	131.7	69.2
19	73.2	79	66.8	112.2	151.7	73.2
20	77.8	85.2	69.6	118.5	164.9	74.5
21	83.4	92.5	73.3	121.1	171.5	74.1
22	89.7	100.6	77.6	121.8	174	73.4
23	96.1	108.8	82.1	122.1	175	73.5
24	102	116.3	86.1	122.6	176.2	74.6
25	106.5	122.2	89.2	123.3	178.5	76.9
26	109.6	126.4	91	123.7	181.8	80.1
27	111.8	129.6	92.1	124.7	185.9	83.8
28	114.1	133.1	93	127.9	190.7	87.8
29	117.2	138.2	94.1	131.8	195.9	91.8
30	122.3	146	96.1	136.4	201.9	96
31	129.6	157.3	99.1	143	208.8	100.6
32	139	171.6	103.2	151.1	216.9	105.9
33	150	188.1	108.4	158.3	226.5	112.2
34	161.9	205.3	114.5	166.6	237.9	119.6
35	173.7	221.7	121.5	177.1	251.3	128.1
36	184.7	235.6	129.2	188.8	266.6	137.6
37	195.4	248.2	137.8	203	283.9	147.8
38	206.6	260.8	147.4	217	303	158.7
39	219.1	275	158.1	231.1	325	170.4
40	234.2	292.8	170.1	248.1	349	182.9
41	252.3	316	183.3	269.2	375	196.8
42	273.6	343	197.9	292.7	404	212.4
43	297.2	373	214	317	436	230.1
44	322	405	231.7	346	472	250.1
45	347	435	251.1	380	510	272.2
46	371	462	272.1	414	553	296.2
47	395	486	295.6	449	599	322
48	421	512	323	482	648	348
49	452	541	355	527	702	375
50	491	580	394	577	759	404
51	540	631	442	614	819	434
52	601	696	499	654	882	466
53	670	771	563	717	947	502
54	746	854	631	781	1,016	541
55	823	939	699	843	1,089	584
56	896	1,021	763	903	1,166	629
57	963	1,097	821	962	1,248	677
58	1,027	1,168	876	1,039	1,336	727
59	1,090	1,238	931	1,122	1,430	779
60	1,157	1,308	994	1,224	1,528	834
61	1,231	1,383	1,066	1,306	1,631	894
62	1,314	1,464	1,152	1,367	1,735	959
63	1,406	1,551	1,250	1,448	1,840	1,031
64	1,508	1,647	1,357	1,528	1,945	1,111
65	1,618	1,752	1,472	1,622	2,048	1,200
66	1,736	1,869	1,592	1,733	2,151	1,297
67	1,859	1,994	1,713	1,846	2,254	1,403
68	1,986	2,124	1,837	1,959	2,356	1,517
69	2,112	2,253	1,961	2,059	2,457	1,638
70	2,234	2,373	2,085	2,170	2,555	1,768
71	2,348	2,478	2,210	2,303	2,649	1,907
72	2,453	2,566	2,333	2,393	2,736	2,056
73	2,550	2,640	2,455	2,513	2,814	2,215
74	2,641	2,703	2,576	2,669	2,882	2,384
75	2,728	2,760	2,694	2,787	2,939	2,562
76	2,815	2,818	2,813	2,917	2,982	2,745
77	2,896	2,873	2,927	3,027	3,010	2,932
78	2,968	2,918	3,032	3,120	3,019	3,115
79	3,027	2,946	3,121	3,189	3,007	3,290
80	3,062	2,951	3,190	3,229	2,969	3,450
81	3,069	2,925	3,231	3,282	2,902	3,588
82	3,046	2,869	3,242	3,269	2,805	3,696
83	2,994	2,786	3,224	3,222	2,678	3,766
84	2,916	2,680	3,176	3,172	2,524	3,790
85	2,816	2,557	3,101	3,081	2,347	3,764
86	2,698	2,420	3,002	2,921	2,153	3,683
87	2,562	2,271	2,877	2,724	1,947	3,546
88	2,406	2,110	2,726	2,537	1,732	3,355
89	2,229	1,932	2,547	2,299	1,513	3,115
90	2,034	1,744	2,343	2,023	1,295	2,834
91	1,825	1,547	2,119	1,766	1,085	2,523
92	1,605	1,346	1,878	1,521	886	2,194
93	1,387	1,150	1,635	1,260	706	1,861
94	1,178	968	1,397	1,004	547	1,536
95	983	802	1,171	790	413	1,233
96	804	653	963	612	304	961
97	643	519	772	462	216.8	725
98	502	404	604	335	150.4	530
99	383	307	461	233.2	101.3	375
100	212.2	165.4	260.7	69.5	4.03	120.6

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about India and Tonga demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• India vs Tonga: Facts and Figures

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size