Life Expectancy in India vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

India

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	India			Tanzania
	Average	Male	Female	Average	Male	Female
100	102.5	102.4	102.5	102.5	101.9	102.6
99	101.6	101.6	101.6	101.7	101	101.7
98	100.7	100.7	100.8	100.8	100.1	100.9
97	99.9	99.9	99.9	100	99.2	100.1
96	99	99	99.1	99.1	98.4	99.3
95	98.2	98.2	98.2	98.3	97.5	98.4
94	97.4	97.4	97.4	97.4	96.6	97.7
93	96.6	96.6	96.6	96.6	95.8	96.9
92	95.8	95.8	95.9	95.8	94.9	96.1
91	95.1	95	95.1	95.1	94.1	95.4
90	94.3	94.2	94.4	94.3	93.3	94.6
89	93.6	93.5	93.6	93.5	92.5	93.9
88	92.8	92.7	92.9	92.7	91.7	93.2
87	92.1	92	92.2	92	90.9	92.5
86	91.5	91.3	91.6	91.3	90.1	91.9
85	90.8	90.6	90.9	90.6	89.4	91.2
84	90.1	89.9	90.3	89.9	88.7	90.6
83	89.5	89.3	89.7	89.2	88	90
82	88.9	88.6	89.1	88.6	87.3	89.4
81	88.3	88	88.5	87.9	86.6	88.9
80	87.7	87.4	87.9	87.3	86	88.3
79	87.1	86.8	87.4	86.8	85.3	87.8
78	86.6	86.2	86.9	86.2	84.7	87.3
77	86	85.7	86.3	85.6	84.1	86.8
76	85.5	85.1	85.9	85.1	83.5	86.3
75	85	84.6	85.4	84.5	83	85.8
74	84.5	84.1	85	84	82.4	85.3
73	84.1	83.6	84.5	83.5	81.9	84.8
72	83.6	83.1	84.1	83	81.4	84.3
71	83.2	82.6	83.7	82.5	80.9	83.9
70	82.8	82.2	83.3	82.1	80.4	83.4
69	82.4	81.7	83	81.6	79.9	83
68	82	81.3	82.6	81.2	79.4	82.6
67	81.6	80.9	82.3	80.7	79	82.2
66	81.3	80.5	82	80.3	78.5	81.8
65	80.9	80.2	81.7	79.9	78.1	81.4
64	80.6	79.8	81.4	79.5	77.6	81
63	80.3	79.5	81.1	79.1	77.2	80.7
62	80	79.2	80.9	78.7	76.8	80.3
61	79.8	78.9	80.6	78.4	76.4	80
60	79.5	78.6	80.4	78	76.1	79.7
59	79.2	78.3	80.2	77.7	75.7	79.4
58	79	78	80	77.4	75.4	79.1
57	78.7	77.8	79.7	77.1	75	78.9
56	78.5	77.5	79.6	76.8	74.7	78.6
55	78.3	77.3	79.4	76.5	74.4	78.3
54	78.1	77.1	79.2	76.2	74.1	78.1
53	77.9	76.8	79	75.9	73.8	77.9
52	77.8	76.7	78.9	75.7	73.5	77.6
51	77.6	76.5	78.8	75.4	73.3	77.4
50	77.5	76.3	78.6	75.2	73	77.2
49	77.3	76.2	78.5	75	72.7	77
48	77.2	76	78.4	74.7	72.5	76.8
47	77.1	75.8	78.3	74.5	72.3	76.6
46	76.9	75.7	78.2	74.3	72	76.5
45	76.8	75.6	78.2	74.1	71.8	76.3
44	76.7	75.4	78.1	73.9	71.6	76.1
43	76.6	75.3	78	73.8	71.4	76
42	76.5	75.2	77.9	73.6	71.2	75.8
41	76.4	75.1	77.9	73.4	71	75.6
40	76.3	75	77.8	73.2	70.8	75.5
39	76.3	74.9	77.7	73.1	70.7	75.4
38	76.2	74.8	77.7	72.9	70.5	75.2
37	76.1	74.7	77.6	72.8	70.3	75.1
36	76	74.6	77.6	72.6	70.2	75
35	75.9	74.5	77.5	72.5	70	74.8
34	75.9	74.4	77.5	72.4	69.9	74.7
33	75.8	74.3	77.4	72.2	69.7	74.6
32	75.7	74.2	77.4	72.1	69.6	74.5
31	75.7	74.2	77.3	72	69.5	74.4
30	75.6	74.1	77.3	71.9	69.3	74.3
29	75.6	74	77.2	71.8	69.2	74.2
28	75.5	74	77.2	71.7	69.1	74.1
27	75.5	73.9	77.1	71.6	69	74
26	75.4	73.9	77.1	71.4	68.9	73.9
25	75.4	73.8	77	71.4	68.7	73.9
24	75.3	73.7	77	71.3	68.6	73.8
23	75.3	73.7	76.9	71.2	68.5	73.7
22	75.2	73.6	76.9	71.1	68.4	73.6
21	75.2	73.6	76.9	71	68.3	73.6
20	75.1	73.5	76.8	70.9	68.2	73.5
19	75.1	73.5	76.8	70.8	68.1	73.4
18	75	73.4	76.7	70.8	68.1	73.4
17	75	73.4	76.7	70.7	68	73.3
16	75	73.4	76.7	70.6	67.9	73.3
15	74.9	73.3	76.6	70.6	67.9	73.2
14	74.9	73.3	76.6	70.5	67.8	73.2
13	74.9	73.3	76.6	70.5	67.8	73.2
12	74.9	73.3	76.6	70.5	67.7	73.1
11	74.8	73.2	76.5	70.4	67.7	73.1
10	74.8	73.2	76.5	70.4	67.7	73.1
9	74.8	73.2	76.5	70.4	67.6	73
8	74.8	73.2	76.5	70.3	67.6	73
7	74.7	73.1	76.4	70.3	67.5	72.9
6	74.7	73.1	76.4	70.2	67.5	72.9
5	74.6	73.1	76.4	70.2	67.4	72.8
4	74.6	73	76.3	70.1	67.3	72.7
3	74.5	73	76.3	69.9	67.2	72.6
2	74.5	72.9	76.2	69.8	67	72.4
1	74.3	72.7	75.9	69.5	66.8	72.2
0	72.7	71.2	74.4	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 India can expect to live to 75.6 years compared to 71.9 in Tanzania, rising to 80.9 and 79.9 at 65, and to 87.7 and 87.3 at 80 — higher than the 72.7 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

India

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	India			Tanzania
	Average	Male	Female	Average	Male	Female
100	0.93%	0.75%	1.11%	0.67%	0.12%	1.28%
99	1.32%	1.06%	1.59%	0.94%	0.2%	1.76%
98	1.83%	1.47%	2.21%	1.29%	0.3%	2.36%
97	2.49%	2%	3%	1.73%	0.46%	3.12%
96	3.31%	2.67%	3.99%	2.29%	0.68%	4.05%
95	4.32%	3.48%	5.18%	2.99%	0.98%	5.16%
94	5.52%	4.47%	6.61%	3.82%	1.38%	6.46%
93	6.93%	5.64%	8.28%	4.81%	1.89%	7.95%
92	8.56%	7.01%	10.2%	5.97%	2.55%	9.63%
91	10.4%	8.58%	12.3%	7.28%	3.35%	11.5%
90	12.5%	10.4%	14.7%	8.82%	4.35%	13.5%
89	14.7%	12.3%	17.3%	10.5%	5.52%	15.7%
88	17.2%	14.5%	20.1%	12.4%	6.9%	18.1%
87	19.8%	16.8%	23%	14.4%	8.47%	20.5%
86	22.5%	19.2%	26%	16.6%	10.2%	23.1%
85	25.4%	21.8%	29.2%	19%	12.2%	25.7%
84	28.3%	24.5%	32.4%	21.4%	14.3%	28.4%
83	31.3%	27.3%	35.6%	23.9%	16.6%	31%
82	34.4%	30.2%	38.9%	26.5%	19%	33.6%
81	37.5%	33.1%	42.1%	29%	21.4%	36.1%
80	40.5%	36.1%	45.3%	31.5%	24%	38.5%
79	43.6%	39.1%	48.4%	34.1%	26.6%	41%
78	46.5%	42%	51.5%	36.6%	29.2%	43.4%
77	49.4%	44.9%	54.4%	39.2%	31.8%	45.8%
76	52.3%	47.7%	57.2%	41.7%	34.5%	48.2%
75	55%	50.4%	59.9%	44.2%	37.1%	50.6%
74	57.6%	53.1%	62.5%	46.6%	39.7%	52.9%
73	60.2%	55.8%	64.9%	49%	42.2%	55.1%
72	62.6%	58.3%	67.2%	51.3%	44.7%	57.3%
71	64.9%	60.8%	69.4%	53.5%	47.1%	59.4%
70	67.2%	63.2%	71.5%	55.7%	49.5%	61.4%
69	69.3%	65.4%	73.4%	57.7%	51.8%	63.3%
68	71.2%	67.5%	75.2%	59.7%	54%	65.2%
67	73.1%	69.5%	76.9%	61.7%	56.2%	67%
66	74.8%	71.4%	78.5%	63.6%	58.3%	68.8%
65	76.4%	73.1%	80%	65.4%	60.3%	70.5%
64	77.9%	74.7%	81.3%	67.2%	62.3%	72%
63	79.3%	76.3%	82.5%	68.8%	64.2%	73.5%
62	80.6%	77.7%	83.7%	70.4%	66%	74.9%
61	81.8%	79.1%	84.7%	71.9%	67.6%	76.2%
60	83%	80.4%	85.7%	73.3%	69.3%	77.5%
59	84%	81.6%	86.6%	74.7%	70.8%	78.6%
58	85%	82.8%	87.5%	75.9%	72.2%	79.7%
57	86%	83.9%	88.3%	77.1%	73.6%	80.7%
56	86.9%	84.9%	89%	78.2%	74.9%	81.6%
55	87.7%	85.8%	89.7%	79.3%	76.1%	82.5%
54	88.4%	86.7%	90.4%	80.3%	77.3%	83.3%
53	89.1%	87.4%	90.9%	81.3%	78.4%	84.2%
52	89.7%	88.1%	91.4%	82.2%	79.4%	84.9%
51	90.2%	88.7%	91.8%	83%	80.4%	85.6%
50	90.7%	89.3%	92.2%	83.9%	81.4%	86.3%
49	91.1%	89.8%	92.6%	84.6%	82.3%	86.9%
48	91.6%	90.3%	92.9%	85.3%	83.1%	87.5%
47	92%	90.8%	93.2%	86%	83.9%	88.1%
46	92.3%	91.3%	93.5%	86.6%	84.7%	88.6%
45	92.7%	91.7%	93.7%	87.2%	85.4%	89.1%
44	93%	92.1%	93.9%	87.8%	86%	89.6%
43	93.3%	92.5%	94.1%	88.3%	86.7%	90%
42	93.5%	92.8%	94.3%	88.8%	87.2%	90.5%
41	93.8%	93.1%	94.5%	89.3%	87.8%	90.8%
40	94%	93.4%	94.7%	89.8%	88.3%	91.2%
39	94.2%	93.7%	94.8%	90.2%	88.8%	91.6%
38	94.4%	93.9%	95%	90.6%	89.3%	91.9%
37	94.6%	94.2%	95.1%	91%	89.8%	92.2%
36	94.8%	94.4%	95.2%	91.3%	90.2%	92.5%
35	95%	94.6%	95.4%	91.7%	90.6%	92.8%
34	95.1%	94.8%	95.5%	92%	90.9%	93.1%
33	95.3%	95%	95.6%	92.3%	91.3%	93.3%
32	95.4%	95.2%	95.7%	92.6%	91.6%	93.6%
31	95.6%	95.3%	95.8%	92.9%	92%	93.8%
30	95.7%	95.5%	95.9%	93.1%	92.3%	94%
29	95.8%	95.6%	96%	93.4%	92.5%	94.2%
28	95.9%	95.8%	96.1%	93.6%	92.8%	94.4%
27	96%	95.9%	96.1%	93.8%	93.1%	94.6%
26	96.1%	96%	96.2%	94%	93.3%	94.8%
25	96.2%	96.1%	96.3%	94.2%	93.6%	94.9%
24	96.3%	96.2%	96.4%	94.4%	93.8%	95.1%
23	96.4%	96.3%	96.5%	94.6%	94%	95.2%
22	96.5%	96.4%	96.6%	94.8%	94.2%	95.4%
21	96.6%	96.5%	96.6%	95%	94.4%	95.5%
20	96.7%	96.6%	96.7%	95.1%	94.6%	95.6%
19	96.7%	96.7%	96.8%	95.3%	94.8%	95.7%
18	96.8%	96.8%	96.8%	95.4%	95%	95.8%
17	96.9%	96.8%	96.9%	95.5%	95.1%	95.9%
16	96.9%	96.9%	96.9%	95.6%	95.2%	96%
15	97%	97%	97%	95.7%	95.3%	96.1%
14	97%	97%	97%	95.8%	95.4%	96.1%
13	97.1%	97%	97.1%	95.8%	95.5%	96.2%
12	97.1%	97.1%	97.1%	95.9%	95.5%	96.2%
11	97.1%	97.1%	97.1%	95.9%	95.6%	96.3%
10	97.2%	97.1%	97.2%	96%	95.7%	96.4%
9	97.2%	97.2%	97.2%	96.1%	95.7%	96.4%
8	97.2%	97.2%	97.2%	96.1%	95.8%	96.5%
7	97.3%	97.3%	97.3%	96.2%	95.9%	96.5%
6	97.3%	97.3%	97.3%	96.3%	96%	96.6%
5	97.4%	97.4%	97.4%	96.4%	96.1%	96.7%
4	97.5%	97.5%	97.5%	96.5%	96.2%	96.8%
3	97.5%	97.5%	97.5%	96.7%	96.4%	97%
2	97.6%	97.6%	97.7%	96.9%	96.6%	97.2%
1	97.9%	97.9%	98%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 83% of newborns in India and 73.3% in Tanzania are expected to live past 60, 67.2% and 55.7% past 70, 40.5% and 31.5% past 80, and only 12.5% 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

India

Male

Female

Tanzania

Male

Female

1x

Age	Probability of dying
	India			Tanzania
	Average	Male	Female	Average	Male	Female
100	31.3%	31%	31.5%	29.4%	38.6%	28.4%
99	29.7%	29.5%	29.8%	28.3%	37.1%	27.2%
98	28%	28%	28.1%	26.8%	35.3%	25.5%
97	26.4%	26.4%	26.4%	25.7%	33.9%	24.3%
96	24.8%	24.9%	24.7%	24.5%	32.3%	23%
95	23.2%	23.4%	23.1%	23.3%	30.7%	21.6%
94	21.8%	22.1%	21.6%	21.8%	28.9%	20.1%
93	20.4%	20.8%	20.1%	20.6%	27.3%	18.7%
92	19.1%	19.5%	18.8%	19.4%	25.7%	17.5%
91	17.8%	18.3%	17.5%	18.1%	24%	16%
90	16.5%	17.1%	16.2%	17.4%	22.9%	15.3%
89	15.3%	15.9%	14.9%	16.1%	21.3%	13.9%
88	14.2%	14.8%	13.8%	15.2%	20%	13%
87	13.1%	13.7%	12.7%	14.2%	18.6%	12%
86	12.1%	12.8%	11.7%	13.3%	17.3%	11.1%
85	11.2%	11.9%	10.7%	12.3%	16%	10.2%
84	10.4%	11%	9.9%	11.4%	14.9%	9.37%
83	9.64%	10.3%	9.12%	10.4%	13.7%	8.46%
82	8.92%	9.57%	8.39%	9.6%	12.6%	7.7%
81	8.24%	8.88%	7.71%	8.6%	11.4%	6.8%
80	7.58%	8.22%	7.06%	8.09%	10.6%	6.4%
79	6.97%	7.57%	6.45%	7.47%	9.73%	5.95%
78	6.39%	6.97%	5.89%	7.01%	9.02%	5.65%
77	5.86%	6.42%	5.38%	6.47%	8.26%	5.24%
76	5.39%	5.92%	4.91%	6.05%	7.65%	4.95%
75	4.95%	5.47%	4.48%	5.63%	7.08%	4.66%
74	4.57%	5.08%	4.11%	5.22%	6.52%	4.35%
73	4.23%	4.73%	3.76%	4.83%	6.02%	4.06%
72	3.9%	4.39%	3.45%	4.5%	5.58%	3.8%
71	3.6%	4.06%	3.16%	4.12%	5.1%	3.49%
70	3.31%	3.74%	2.89%	3.91%	4.8%	3.33%
69	3.03%	3.43%	2.65%	3.59%	4.41%	3.06%
68	2.77%	3.13%	2.42%	3.37%	4.12%	2.88%
67	2.52%	2.85%	2.2%	3.16%	3.84%	2.7%
66	2.3%	2.6%	2%	2.97%	3.6%	2.54%
65	2.1%	2.38%	1.82%	2.83%	3.4%	2.41%
64	1.92%	2.19%	1.65%	2.61%	3.15%	2.2%
63	1.76%	2.02%	1.5%	2.42%	2.92%	2.02%
62	1.61%	1.87%	1.36%	2.25%	2.71%	1.86%
61	1.49%	1.73%	1.24%	2.06%	2.49%	1.7%
60	1.38%	1.61%	1.14%	1.94%	2.34%	1.58%
59	1.28%	1.5%	1.06%	1.78%	2.14%	1.44%
58	1.19%	1.4%	0.99%	1.66%	1.99%	1.34%
57	1.11%	1.29%	0.92%	1.54%	1.85%	1.24%
56	1.02%	1.19%	0.84%	1.44%	1.73%	1.16%
55	0.93%	1.08%	0.77%	1.35%	1.62%	1.09%
54	0.83%	0.97%	0.69%	1.26%	1.52%	1.02%
53	0.74%	0.87%	0.61%	1.18%	1.42%	0.95%
52	0.66%	0.78%	0.54%	1.11%	1.34%	0.9%
51	0.59%	0.7%	0.47%	1.03%	1.24%	0.83%
50	0.53%	0.64%	0.42%	0.97%	1.17%	0.79%
49	0.49%	0.6%	0.38%	0.9%	1.08%	0.73%
48	0.45%	0.56%	0.34%	0.84%	1.01%	0.68%
47	0.42%	0.53%	0.31%	0.78%	0.94%	0.63%
46	0.4%	0.5%	0.29%	0.73%	0.88%	0.59%
45	0.37%	0.47%	0.26%	0.69%	0.83%	0.56%
44	0.34%	0.43%	0.24%	0.64%	0.77%	0.52%
43	0.31%	0.4%	0.22%	0.6%	0.72%	0.49%
42	0.29%	0.36%	0.21%	0.57%	0.68%	0.47%
41	0.26%	0.33%	0.19%	0.53%	0.63%	0.44%
40	0.24%	0.31%	0.18%	0.51%	0.6%	0.42%
39	0.23%	0.29%	0.16%	0.47%	0.56%	0.39%
38	0.22%	0.27%	0.15%	0.45%	0.53%	0.37%
37	0.2%	0.26%	0.14%	0.42%	0.5%	0.34%
36	0.19%	0.25%	0.13%	0.39%	0.47%	0.33%
35	0.18%	0.23%	0.12%	0.37%	0.44%	0.31%
34	0.17%	0.21%	0.12%	0.35%	0.41%	0.29%
33	0.15%	0.19%	0.11%	0.33%	0.39%	0.27%
32	0.14%	0.18%	0.11%	0.31%	0.37%	0.25%
31	0.13%	0.16%	0.1%	0.29%	0.34%	0.24%
30	0.13%	0.15%	0.1%	0.28%	0.33%	0.23%
29	0.12%	0.14%	0.1%	0.26%	0.31%	0.21%
28	0.12%	0.14%	0.09%	0.25%	0.3%	0.2%
27	0.11%	0.13%	0.09%	0.24%	0.28%	0.19%
26	0.11%	0.13%	0.09%	0.22%	0.27%	0.18%
25	0.11%	0.12%	0.09%	0.21%	0.26%	0.17%
24	0.1%	0.12%	0.09%	0.2%	0.25%	0.16%
23	0.1%	0.11%	0.08%	0.19%	0.24%	0.15%
22	0.09%	0.1%	0.08%	0.18%	0.23%	0.14%
21	0.08%	0.09%	0.07%	0.17%	0.21%	0.13%
20	0.08%	0.09%	0.07%	0.16%	0.2%	0.13%
19	0.07%	0.08%	0.07%	0.15%	0.18%	0.12%
18	0.07%	0.07%	0.06%	0.14%	0.17%	0.11%
17	0.07%	0.07%	0.06%	0.12%	0.14%	0.1%
16	0.06%	0.06%	0.06%	0.1%	0.12%	0.09%
15	0.06%	0.06%	0.05%	0.09%	0.1%	0.08%
14	0.05%	0.05%	0.05%	0.08%	0.09%	0.07%
13	0.04%	0.04%	0.04%	0.07%	0.08%	0.06%
12	0.04%	0.04%	0.03%	0.06%	0.07%	0.06%
11	0.03%	0.03%	0.03%	0.06%	0.07%	0.05%
10	0.03%	0.03%	0.03%	0.06%	0.07%	0.05%
9	0.03%	0.03%	0.03%	0.06%	0.07%	0.06%
8	0.04%	0.04%	0.04%	0.07%	0.07%	0.06%
7	0.05%	0.05%	0.04%	0.08%	0.08%	0.07%
6	0.06%	0.06%	0.06%	0.08%	0.09%	0.08%
5	0.07%	0.07%	0.07%	0.1%	0.11%	0.09%
4	0.07%	0.07%	0.07%	0.13%	0.14%	0.12%
3	0.08%	0.07%	0.08%	0.18%	0.18%	0.17%
2	0.1%	0.09%	0.11%	0.25%	0.26%	0.25%
1	0.28%	0.25%	0.3%	0.41%	0.41%	0.4%
0	2.09%	2.13%	2.05%	2.69%	2.99%	2.38%

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

The annual chance of dying is 2.09% in the birth year in India and 2.69% in Tanzania, 0.13% vs 0.28% at age 30, 1.38% vs 1.94% at 60, and 7.58% vs 8.09% at 80.

Death rate by age in India vs Tanzania

Chart Table

India

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	India			Tanzania
	Total	Male	Female	Total	Male	Female
100	218.3	169	269.5	140.1	0.71	294.9
99	392	313	474	266.5	72.6	478
98	514	412	620	344	107.1	602
97	658	529	792	444	155.1	756
96	822	665	986	562	218.8	930
95	1,003	817	1,198	695	300	1,116
94	1,201	986	1,427	834	398	1,297
93	1,413	1,171	1,668	989	516	1,486
92	1,634	1,369	1,914	1,159	656	1,682
91	1,855	1,573	2,156	1,316	805	1,836
90	2,066	1,771	2,381	1,536	994	2,078
89	2,261	1,961	2,585	1,690	1,174	2,190
88	2,438	2,138	2,763	1,881	1,377	2,351
87	2,594	2,300	2,913	2,045	1,575	2,462
86	2,729	2,449	3,035	2,207	1,777	2,566
85	2,845	2,584	3,132	2,336	1,957	2,629
84	2,942	2,705	3,202	2,452	2,143	2,662
83	3,017	2,809	3,246	2,499	2,269	2,625
82	3,066	2,890	3,261	2,540	2,389	2,588
81	3,085	2,943	3,245	2,490	2,434	2,451
80	3,074	2,966	3,199	2,549	2,548	2,467
79	3,035	2,958	3,127	2,545	2,586	2,439
78	2,975	2,927	3,033	2,569	2,636	2,453
77	2,900	2,879	2,925	2,533	2,630	2,402
76	2,814	2,822	2,807	2,519	2,638	2,384
75	2,724	2,761	2,686	2,489	2,625	2,358
74	2,635	2,701	2,565	2,431	2,589	2,297
73	2,542	2,636	2,442	2,367	2,543	2,235
72	2,444	2,560	2,319	2,309	2,496	2,179
71	2,337	2,470	2,194	2,205	2,404	2,072
70	2,221	2,364	2,069	2,174	2,375	2,046
69	2,099	2,242	1,944	2,072	2,284	1,936
68	1,972	2,113	1,819	2,015	2,226	1,877
67	1,845	1,983	1,696	1,948	2,160	1,806
66	1,721	1,857	1,574	1,889	2,097	1,743
65	1,603	1,741	1,455	1,848	2,051	1,698
64	1,494	1,635	1,341	1,753	1,961	1,588
63	1,393	1,540	1,234	1,666	1,874	1,488
62	1,301	1,452	1,137	1,583	1,789	1,396
61	1,217	1,371	1,052	1,484	1,686	1,293
60	1,144	1,297	980	1,422	1,617	1,227
59	1,078	1,226	918	1,327	1,514	1,135
58	1,015	1,157	863	1,257	1,436	1,069
57	952	1,085	808	1,185	1,359	1,002
56	885	1,010	751	1,126	1,294	949
55	813	928	688	1,069	1,234	895
54	737	844	621	1,015	1,174	848
53	662	762	554	962	1,116	802
52	593	688	491	914	1,062	763
51	533	624	435	856	999	711
50	484	573	388	817	955	680
49	446	535	350	761	892	633
48	415	505	318	716	840	596
47	389	480	290.9	671	789	558
46	366	455	267.7	632	744	525
45	342	429	246.9	599	705	498
44	317	399	227.8	563	661	469
43	292.6	368	210.4	533	625	445
42	269.3	338	194.4	507	593	423
41	248.3	311	180	476	557	397
40	230.3	288.3	167.1	455	533	380
39	215.5	270.6	155.3	428	500	357
38	203.1	256.6	144.7	405	473	338
37	192	244.1	135.2	382	446	318
36	181.4	231.7	126.7	361	420	301
35	170.6	217.9	119.1	341	398	284.4
34	159	201.8	112.2	321	375	266.3
33	147.3	184.8	106.2	303	353	251.3
32	136.5	168.6	101.1	286.8	335	237.8
31	127.2	154.5	97	269.7	316	222.6
30	120	143.4	94	258.9	303	213.8
29	115	135.7	92	245	287.2	202.1
28	111.8	130.7	90.9	233.1	274.4	191
27	109.6	127.3	90	222.2	262.5	181.1
26	107.3	124	88.9	211.5	251.5	171
25	104.3	119.9	87	201.9	242.2	161.1
24	99.8	114.1	84	192.7	232.5	152.5
23	94	106.8	80	183.7	223.1	143.7
22	87.7	98.7	75.6	174.2	212.6	135.4
21	81.6	90.8	71.4	164	200.4	127
20	76.1	83.7	67.7	154.3	187.4	120.7
19	71.6	77.6	64.9	142.8	172.9	112.2
18	67.8	72.3	62.8	130.5	157.1	103.4
17	64.1	67.3	60.6	114.1	134.6	93.3
16	59.8	61.8	57.5	98.8	113.8	83.6
15	54.3	55.5	52.9	85	95.7	74
14	47.7	48.4	46.8	73.3	81.7	64.7
13	40.5	41.1	39.9	65.1	71.8	58.2
12	34.4	35	33.7	60	66.3	53.6
11	30.4	31.2	29.6	57.8	63.8	51.6
10	28.4	29.4	27.4	57.7	63	52.2
9	30	31.4	28.5	59.9	65.2	54.4
8	36.6	38.8	34.2	64.7	70.4	58.8
7	46.5	49.5	43.2	72.2	78.1	66.1
6	57.2	60.5	53.6	81.7	87.3	76
5	66.6	69	63.9	96.7	101.8	91.4
4	72.2	72.2	72.3	125.6	131.7	119.3
3	73.9	69.6	78.6	171.2	177.9	164.3
2	100.6	90.7	111.1	246.7	252.7	240.5
1	269.3	247.9	292.1	394	394	394
0	2,091	2,131	2,048	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 India, the most common age of death is 81, compared to 0 in Tanzania. The median age of death is 76.8 in India 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 India and Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x