Life Expectancy in Equatorial Guinea vs India (1950-2026)

Life expectancy by current age

Chart Table

Equatorial Guinea

Male

Female

India

Male

Female

1x

Current age, years	Total life expectancy, years
	Equatorial Guinea			India
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102.5	102.4	102.5
99	101	100.9	101	101.6	101.6	101.6
98	100.1	100.1	100.1	100.7	100.7	100.8
97	99.2	99.2	99.2	99.9	99.9	99.9
96	98.3	98.3	98.3	99	99	99.1
95	97.4	97.4	97.4	98.2	98.2	98.2
94	96.5	96.5	96.5	97.4	97.4	97.4
93	95.7	95.6	95.7	96.6	96.6	96.6
92	94.8	94.8	94.9	95.8	95.8	95.9
91	94	94	94	95.1	95	95.1
90	93.2	93.1	93.2	94.3	94.2	94.4
89	92.4	92.3	92.4	93.6	93.5	93.6
88	91.6	91.5	91.6	92.8	92.7	92.9
87	90.8	90.7	90.9	92.1	92	92.2
86	90	89.9	90.1	91.5	91.3	91.6
85	89.3	89.2	89.4	90.8	90.6	90.9
84	88.6	88.4	88.7	90.1	89.9	90.3
83	87.9	87.7	88	89.5	89.3	89.7
82	87.2	87	87.3	88.9	88.6	89.1
81	86.5	86.3	86.6	88.3	88	88.5
80	85.8	85.6	86	87.7	87.4	87.9
79	85.2	85	85.4	87.1	86.8	87.4
78	84.6	84.4	84.8	86.6	86.2	86.9
77	84	83.7	84.2	86	85.7	86.3
76	83.4	83.1	83.7	85.5	85.1	85.9
75	82.9	82.6	83.1	85	84.6	85.4
74	82.3	82	82.6	84.5	84.1	85
73	81.8	81.4	82.1	84.1	83.6	84.5
72	81.3	80.9	81.6	83.6	83.1	84.1
71	80.8	80.4	81.2	83.2	82.6	83.7
70	80.3	79.9	80.7	82.8	82.2	83.3
69	79.9	79.4	80.3	82.4	81.7	83
68	79.5	79	79.9	82	81.3	82.6
67	79	78.6	79.5	81.6	80.9	82.3
66	78.7	78.1	79.2	81.3	80.5	82
65	78.3	77.7	78.8	80.9	80.2	81.7
64	77.9	77.3	78.5	80.6	79.8	81.4
63	77.5	76.9	78.1	80.3	79.5	81.1
62	77.2	76.6	77.8	80	79.2	80.9
61	76.9	76.2	77.6	79.8	78.9	80.6
60	76.6	75.9	77.3	79.5	78.6	80.4
59	76.3	75.6	77	79.2	78.3	80.2
58	76	75.2	76.8	79	78	80
57	75.7	74.9	76.5	78.7	77.8	79.7
56	75.4	74.7	76.3	78.5	77.5	79.6
55	75.2	74.4	76.1	78.3	77.3	79.4
54	74.9	74.1	75.9	78.1	77.1	79.2
53	74.7	73.8	75.6	77.9	76.8	79
52	74.5	73.6	75.4	77.8	76.7	78.9
51	74.2	73.3	75.3	77.6	76.5	78.8
50	74	73.1	75.1	77.5	76.3	78.6
49	73.8	72.9	74.9	77.3	76.2	78.5
48	73.6	72.7	74.7	77.2	76	78.4
47	73.4	72.5	74.6	77.1	75.8	78.3
46	73.2	72.3	74.4	76.9	75.7	78.2
45	73.1	72.1	74.2	76.8	75.6	78.2
44	72.9	71.9	74.1	76.7	75.4	78.1
43	72.7	71.7	73.9	76.6	75.3	78
42	72.5	71.5	73.8	76.5	75.2	77.9
41	72.4	71.4	73.7	76.4	75.1	77.9
40	72.2	71.2	73.5	76.3	75	77.8
39	72.1	71	73.4	76.3	74.9	77.7
38	72	70.9	73.3	76.2	74.8	77.7
37	71.8	70.7	73.2	76.1	74.7	77.6
36	71.7	70.6	73	76	74.6	77.6
35	71.6	70.4	72.9	75.9	74.5	77.5
34	71.4	70.3	72.8	75.9	74.4	77.5
33	71.3	70.2	72.7	75.8	74.3	77.4
32	71.2	70.1	72.6	75.7	74.2	77.4
31	71.1	69.9	72.5	75.7	74.2	77.3
30	71	69.8	72.4	75.6	74.1	77.3
29	70.8	69.7	72.3	75.6	74	77.2
28	70.7	69.6	72.2	75.5	74	77.2
27	70.6	69.4	72.1	75.5	73.9	77.1
26	70.5	69.3	72	75.4	73.9	77.1
25	70.4	69.2	71.9	75.4	73.8	77
24	70.3	69.1	71.8	75.3	73.7	77
23	70.2	68.9	71.8	75.3	73.7	76.9
22	70.1	68.8	71.7	75.2	73.6	76.9
21	70	68.7	71.6	75.2	73.6	76.9
20	69.9	68.6	71.5	75.1	73.5	76.8
19	69.8	68.5	71.4	75.1	73.5	76.8
18	69.7	68.4	71.4	75	73.4	76.7
17	69.6	68.3	71.3	75	73.4	76.7
16	69.6	68.2	71.2	75	73.4	76.7
15	69.5	68.2	71.2	74.9	73.3	76.6
14	69.5	68.1	71.1	74.9	73.3	76.6
13	69.4	68	71.1	74.9	73.3	76.6
12	69.3	68	71	74.9	73.3	76.6
11	69.3	67.9	71	74.8	73.2	76.5
10	69.2	67.9	70.9	74.8	73.2	76.5
9	69.2	67.8	70.9	74.8	73.2	76.5
8	69.1	67.7	70.8	74.8	73.2	76.5
7	69	67.6	70.7	74.7	73.1	76.4
6	68.9	67.5	70.6	74.7	73.1	76.4
5	68.8	67.4	70.5	74.6	73.1	76.4
4	68.7	67.3	70.4	74.6	73	76.3
3	68.5	67	70.2	74.5	73	76.3
2	68.2	66.7	69.9	74.5	72.9	76.2
1	67.7	66.2	69.4	74.3	72.7	75.9
0	64.3	62.6	66.3	72.7	71.2	74.4

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 Equatorial Guinea can expect to live to 71 years compared to 75.6 in India, rising to 78.3 and 80.9 at 65, and to 85.8 and 87.7 at 80 — higher than the 64.3 and 72.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Equatorial Guinea

Male

Female

India

Male

Female

1x

Age	Survival probability
	Equatorial Guinea			India
	Average	Male	Female	Average	Male	Female
100	0.11%	0.08%	0.14%	0.93%	0.75%	1.11%
99	0.18%	0.14%	0.22%	1.32%	1.06%	1.59%
98	0.28%	0.22%	0.35%	1.83%	1.47%	2.21%
97	0.43%	0.33%	0.54%	2.49%	2%	3%
96	0.65%	0.5%	0.81%	3.31%	2.67%	3.99%
95	0.95%	0.74%	1.18%	4.32%	3.48%	5.18%
94	1.35%	1.06%	1.67%	5.52%	4.47%	6.61%
93	1.88%	1.48%	2.32%	6.93%	5.64%	8.28%
92	2.56%	2.03%	3.14%	8.56%	7.01%	10.2%
91	3.4%	2.72%	4.15%	10.4%	8.58%	12.3%
90	4.44%	3.58%	5.4%	12.5%	10.4%	14.7%
89	5.68%	4.62%	6.87%	14.7%	12.3%	17.3%
88	7.14%	5.86%	8.58%	17.2%	14.5%	20.1%
87	8.83%	7.31%	10.5%	19.8%	16.8%	23%
86	10.7%	8.96%	12.7%	22.5%	19.2%	26%
85	12.8%	10.8%	15.2%	25.4%	21.8%	29.2%
84	15.2%	12.9%	17.8%	28.3%	24.5%	32.4%
83	17.6%	15.1%	20.6%	31.3%	27.3%	35.6%
82	20.2%	17.5%	23.5%	34.4%	30.2%	38.9%
81	22.9%	19.9%	26.4%	37.5%	33.1%	42.1%
80	25.7%	22.6%	29.5%	40.5%	36.1%	45.3%
79	28.6%	25.2%	32.6%	43.6%	39.1%	48.4%
78	31.5%	28%	35.7%	46.5%	42%	51.5%
77	34.4%	30.7%	38.7%	49.4%	44.9%	54.4%
76	37.3%	33.5%	41.8%	52.3%	47.7%	57.2%
75	40.1%	36.3%	44.7%	55%	50.4%	59.9%
74	42.9%	39%	47.6%	57.6%	53.1%	62.5%
73	45.6%	41.7%	50.4%	60.2%	55.8%	64.9%
72	48.2%	44.3%	53.1%	62.6%	58.3%	67.2%
71	50.7%	46.8%	55.6%	64.9%	60.8%	69.4%
70	53.1%	49.3%	58%	67.2%	63.2%	71.5%
69	55.4%	51.6%	60.2%	69.3%	65.4%	73.4%
68	57.6%	53.8%	62.3%	71.2%	67.5%	75.2%
67	59.6%	56%	64.3%	73.1%	69.5%	76.9%
66	61.6%	58%	66.1%	74.8%	71.4%	78.5%
65	63.4%	60%	67.9%	76.4%	73.1%	80%
64	65.2%	61.8%	69.5%	77.9%	74.7%	81.3%
63	66.8%	63.6%	71%	79.3%	76.3%	82.5%
62	68.4%	65.2%	72.4%	80.6%	77.7%	83.7%
61	69.8%	66.8%	73.7%	81.8%	79.1%	84.7%
60	71.2%	68.3%	74.9%	83%	80.4%	85.7%
59	72.5%	69.6%	76.1%	84%	81.6%	86.6%
58	73.6%	70.9%	77.1%	85%	82.8%	87.5%
57	74.8%	72.2%	78.1%	86%	83.9%	88.3%
56	75.8%	73.3%	79%	86.9%	84.9%	89%
55	76.8%	74.4%	79.8%	87.7%	85.8%	89.7%
54	77.7%	75.4%	80.7%	88.4%	86.7%	90.4%
53	78.6%	76.4%	81.4%	89.1%	87.4%	90.9%
52	79.5%	77.3%	82.1%	89.7%	88.1%	91.4%
51	80.3%	78.2%	82.8%	90.2%	88.7%	91.8%
50	81%	79%	83.4%	90.7%	89.3%	92.2%
49	81.7%	79.8%	84%	91.1%	89.8%	92.6%
48	82.3%	80.5%	84.5%	91.6%	90.3%	92.9%
47	82.9%	81.2%	85.1%	92%	90.8%	93.2%
46	83.5%	81.8%	85.5%	92.3%	91.3%	93.5%
45	84.1%	82.4%	86%	92.7%	91.7%	93.7%
44	84.6%	82.9%	86.4%	93%	92.1%	93.9%
43	85.1%	83.5%	86.8%	93.3%	92.5%	94.1%
42	85.5%	84%	87.2%	93.5%	92.8%	94.3%
41	85.9%	84.4%	87.6%	93.8%	93.1%	94.5%
40	86.4%	84.9%	88%	94%	93.4%	94.7%
39	86.7%	85.3%	88.3%	94.2%	93.7%	94.8%
38	87.1%	85.7%	88.6%	94.4%	93.9%	95%
37	87.5%	86.1%	88.9%	94.6%	94.2%	95.1%
36	87.8%	86.5%	89.2%	94.8%	94.4%	95.2%
35	88.1%	86.8%	89.5%	95%	94.6%	95.4%
34	88.4%	87.2%	89.7%	95.1%	94.8%	95.5%
33	88.7%	87.5%	90%	95.3%	95%	95.6%
32	89%	87.8%	90.2%	95.4%	95.2%	95.7%
31	89.2%	88.1%	90.4%	95.6%	95.3%	95.8%
30	89.5%	88.3%	90.7%	95.7%	95.5%	95.9%
29	89.7%	88.6%	90.9%	95.8%	95.6%	96%
28	89.9%	88.9%	91.1%	95.9%	95.8%	96.1%
27	90.2%	89.1%	91.3%	96%	95.9%	96.1%
26	90.4%	89.4%	91.4%	96.1%	96%	96.2%
25	90.6%	89.6%	91.6%	96.2%	96.1%	96.3%
24	90.8%	89.9%	91.8%	96.3%	96.2%	96.4%
23	91%	90.1%	92%	96.4%	96.3%	96.5%
22	91.2%	90.3%	92.1%	96.5%	96.4%	96.6%
21	91.4%	90.6%	92.3%	96.6%	96.5%	96.6%
20	91.6%	90.8%	92.4%	96.7%	96.6%	96.7%
19	91.8%	91%	92.5%	96.7%	96.7%	96.8%
18	91.9%	91.2%	92.7%	96.8%	96.8%	96.8%
17	92%	91.3%	92.8%	96.9%	96.8%	96.9%
16	92.2%	91.5%	92.9%	96.9%	96.9%	96.9%
15	92.3%	91.6%	93%	97%	97%	97%
14	92.4%	91.7%	93.1%	97%	97%	97%
13	92.5%	91.8%	93.2%	97.1%	97%	97.1%
12	92.6%	91.9%	93.2%	97.1%	97.1%	97.1%
11	92.6%	92%	93.3%	97.1%	97.1%	97.1%
10	92.7%	92.1%	93.4%	97.2%	97.1%	97.2%
9	92.8%	92.2%	93.5%	97.2%	97.2%	97.2%
8	92.9%	92.3%	93.6%	97.2%	97.2%	97.2%
7	93%	92.4%	93.7%	97.3%	97.3%	97.3%
6	93.2%	92.6%	93.8%	97.3%	97.3%	97.3%
5	93.4%	92.7%	94%	97.4%	97.4%	97.4%
4	93.6%	93%	94.2%	97.5%	97.5%	97.5%
3	93.9%	93.3%	94.5%	97.5%	97.5%	97.5%
2	94.3%	93.8%	94.9%	97.6%	97.6%	97.7%
1	95%	94.5%	95.5%	97.9%	97.9%	98%

This chart shows the odds of living to each age from birth. 71.2% of newborns in Equatorial Guinea and 83% in India are expected to live past 60, 53.1% and 67.2% past 70, 25.7% and 40.5% past 80, and only 4.44% and 12.5% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Equatorial Guinea

Male

Female

India

Male

Female

1x

Age	Probability of dying
	Equatorial Guinea			India
	Average	Male	Female	Average	Male	Female
100	40%	39.9%	40.2%	31.3%	31%	31.5%
99	38.5%	38.4%	38.5%	29.7%	29.5%	29.8%
98	36.6%	36.6%	36.6%	28%	28%	28.1%
97	35%	35.2%	34.9%	26.4%	26.4%	26.4%
96	33.4%	33.6%	33.3%	24.8%	24.9%	24.7%
95	31.7%	32%	31.5%	23.2%	23.4%	23.1%
94	29.9%	30.3%	29.6%	21.8%	22.1%	21.6%
93	28.2%	28.6%	27.9%	20.4%	20.8%	20.1%
92	26.5%	27.1%	26.2%	19.1%	19.5%	18.8%
91	24.7%	25.3%	24.4%	17.8%	18.3%	17.5%
90	23.5%	24.1%	23.1%	16.5%	17.1%	16.2%
89	21.8%	22.5%	21.4%	15.3%	15.9%	14.9%
88	20.5%	21.1%	20%	14.2%	14.8%	13.8%
87	19.1%	19.7%	18.6%	13.1%	13.7%	12.7%
86	17.8%	18.5%	17.3%	12.1%	12.8%	11.7%
85	16.4%	17.1%	16%	11.2%	11.9%	10.7%
84	15.2%	16%	14.7%	10.4%	11%	9.9%
83	14%	14.7%	13.5%	9.64%	10.3%	9.12%
82	12.9%	13.6%	12.4%	8.92%	9.57%	8.39%
81	11.7%	12.4%	11.2%	8.24%	8.88%	7.71%
80	11%	11.6%	10.4%	7.58%	8.22%	7.06%
79	9.99%	10.6%	9.46%	6.97%	7.57%	6.45%
78	9.23%	9.82%	8.71%	6.39%	6.97%	5.89%
77	8.41%	8.99%	7.9%	5.86%	6.42%	5.38%
76	7.74%	8.3%	7.26%	5.39%	5.92%	4.91%
75	7.11%	7.64%	6.65%	4.95%	5.47%	4.48%
74	6.49%	7.01%	6.04%	4.57%	5.08%	4.11%
73	5.93%	6.43%	5.49%	4.23%	4.73%	3.76%
72	5.43%	5.91%	5.02%	3.9%	4.39%	3.45%
71	4.89%	5.34%	4.49%	3.6%	4.06%	3.16%
70	4.55%	4.97%	4.16%	3.31%	3.74%	2.89%
69	4.1%	4.51%	3.7%	3.03%	3.43%	2.65%
68	3.77%	4.15%	3.38%	2.77%	3.13%	2.42%
67	3.44%	3.81%	3.06%	2.52%	2.85%	2.2%
66	3.15%	3.51%	2.79%	2.3%	2.6%	2%
65	2.93%	3.26%	2.57%	2.1%	2.38%	1.82%
64	2.68%	3%	2.34%	1.92%	2.19%	1.65%
63	2.46%	2.77%	2.13%	1.76%	2.02%	1.5%
62	2.27%	2.55%	1.95%	1.61%	1.87%	1.36%
61	2.06%	2.32%	1.76%	1.49%	1.73%	1.24%
60	1.92%	2.17%	1.64%	1.38%	1.61%	1.14%
59	1.74%	1.97%	1.47%	1.28%	1.5%	1.06%
58	1.62%	1.83%	1.36%	1.19%	1.4%	0.99%
57	1.49%	1.69%	1.24%	1.11%	1.29%	0.92%
56	1.39%	1.57%	1.16%	1.02%	1.19%	0.84%
55	1.3%	1.47%	1.07%	0.93%	1.08%	0.77%
54	1.21%	1.37%	1%	0.83%	0.97%	0.69%
53	1.13%	1.28%	0.93%	0.74%	0.87%	0.61%
52	1.06%	1.2%	0.87%	0.66%	0.78%	0.54%
51	0.97%	1.1%	0.8%	0.59%	0.7%	0.47%
50	0.92%	1.04%	0.75%	0.53%	0.64%	0.42%
49	0.84%	0.95%	0.69%	0.49%	0.6%	0.38%
48	0.79%	0.89%	0.65%	0.45%	0.56%	0.34%
47	0.73%	0.82%	0.6%	0.42%	0.53%	0.31%
46	0.68%	0.77%	0.56%	0.4%	0.5%	0.29%
45	0.64%	0.72%	0.53%	0.37%	0.47%	0.26%
44	0.6%	0.67%	0.5%	0.34%	0.43%	0.24%
43	0.57%	0.63%	0.48%	0.31%	0.4%	0.22%
42	0.54%	0.6%	0.45%	0.29%	0.36%	0.21%
41	0.5%	0.56%	0.42%	0.26%	0.33%	0.19%
40	0.48%	0.53%	0.41%	0.24%	0.31%	0.18%
39	0.45%	0.5%	0.38%	0.23%	0.29%	0.16%
38	0.42%	0.47%	0.36%	0.22%	0.27%	0.15%
37	0.4%	0.44%	0.34%	0.2%	0.26%	0.14%
36	0.38%	0.42%	0.32%	0.19%	0.25%	0.13%
35	0.36%	0.4%	0.31%	0.18%	0.23%	0.12%
34	0.34%	0.38%	0.29%	0.17%	0.21%	0.12%
33	0.32%	0.36%	0.27%	0.15%	0.19%	0.11%
32	0.31%	0.35%	0.26%	0.14%	0.18%	0.11%
31	0.29%	0.33%	0.25%	0.13%	0.16%	0.1%
30	0.28%	0.32%	0.24%	0.13%	0.15%	0.1%
29	0.27%	0.31%	0.23%	0.12%	0.14%	0.1%
28	0.26%	0.3%	0.22%	0.12%	0.14%	0.09%
27	0.25%	0.29%	0.21%	0.11%	0.13%	0.09%
26	0.24%	0.28%	0.2%	0.11%	0.13%	0.09%
25	0.24%	0.28%	0.19%	0.11%	0.12%	0.09%
24	0.23%	0.27%	0.18%	0.1%	0.12%	0.09%
23	0.22%	0.27%	0.18%	0.1%	0.11%	0.08%
22	0.22%	0.26%	0.17%	0.09%	0.1%	0.08%
21	0.21%	0.25%	0.16%	0.08%	0.09%	0.07%
20	0.19%	0.23%	0.15%	0.08%	0.09%	0.07%
19	0.18%	0.22%	0.15%	0.07%	0.08%	0.07%
18	0.17%	0.2%	0.14%	0.07%	0.07%	0.06%
17	0.15%	0.18%	0.13%	0.07%	0.07%	0.06%
16	0.14%	0.15%	0.12%	0.06%	0.06%	0.06%
15	0.12%	0.13%	0.11%	0.06%	0.06%	0.05%
14	0.11%	0.12%	0.1%	0.05%	0.05%	0.05%
13	0.1%	0.11%	0.09%	0.04%	0.04%	0.04%
12	0.09%	0.1%	0.09%	0.04%	0.04%	0.03%
11	0.09%	0.1%	0.08%	0.03%	0.03%	0.03%
10	0.1%	0.1%	0.09%	0.03%	0.03%	0.03%
9	0.1%	0.11%	0.09%	0.03%	0.03%	0.03%
8	0.11%	0.12%	0.1%	0.04%	0.04%	0.04%
7	0.13%	0.14%	0.11%	0.05%	0.05%	0.04%
6	0.15%	0.16%	0.13%	0.06%	0.06%	0.06%
5	0.18%	0.19%	0.16%	0.07%	0.07%	0.07%
4	0.23%	0.25%	0.22%	0.07%	0.07%	0.07%
3	0.32%	0.34%	0.3%	0.08%	0.07%	0.08%
2	0.46%	0.49%	0.44%	0.1%	0.09%	0.11%
1	0.76%	0.8%	0.72%	0.28%	0.25%	0.3%
0	4.97%	5.49%	4.45%	2.09%	2.13%	2.05%

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

The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 2.09% in India, 0.28% vs 0.13% at age 30, 1.92% vs 1.38% at 60, and 11% vs 7.58% at 80.

Death rate by age in Equatorial Guinea vs India

Chart Table

Equatorial Guinea

Male

Female

India

Male

Female

1x

Age	Death rate
	Equatorial Guinea			India
	Total	Male	Female	Total	Male	Female
100	0	0	0	218.3	169	269.5
99	68.2	52.5	85.6	392	313	474
98	102.3	78.9	128	514	412	620
97	150.8	116.9	188	658	529	792
96	216	168.5	268.1	822	665	986
95	300	236.2	371	1,003	817	1,198
94	404	320	496	1,201	986	1,427
93	529	425	646	1,413	1,171	1,668
92	678	550	822	1,634	1,369	1,914
91	841	690	1,012	1,855	1,573	2,156
90	1,044	863	1,249	2,066	1,771	2,381
89	1,240	1,040	1,468	2,261	1,961	2,585
88	1,461	1,239	1,716	2,438	2,138	2,763
87	1,682	1,443	1,958	2,594	2,300	2,913
86	1,906	1,654	2,202	2,729	2,449	3,035
85	2,111	1,853	2,419	2,845	2,584	3,132
84	2,311	2,057	2,621	2,942	2,705	3,202
83	2,466	2,220	2,772	3,017	2,809	3,246
82	2,609	2,375	2,904	3,066	2,890	3,261
81	2,685	2,471	2,956	3,085	2,943	3,245
80	2,820	2,614	3,078	3,074	2,966	3,199
79	2,857	2,677	3,081	3,035	2,958	3,127
78	2,908	2,748	3,108	2,975	2,927	3,033
77	2,893	2,762	3,062	2,900	2,879	2,925
76	2,887	2,781	3,032	2,814	2,822	2,807
75	2,854	2,773	2,974	2,724	2,761	2,686
74	2,787	2,735	2,879	2,635	2,701	2,565
73	2,705	2,680	2,769	2,542	2,636	2,442
72	2,622	2,618	2,661	2,444	2,560	2,319
71	2,482	2,500	2,494	2,337	2,470	2,194
70	2,420	2,451	2,412	2,221	2,364	2,069
69	2,271	2,326	2,229	2,099	2,242	1,944
68	2,168	2,237	2,107	1,972	2,113	1,819
67	2,052	2,134	1,968	1,845	1,983	1,696
66	1,942	2,034	1,844	1,721	1,857	1,574
65	1,856	1,957	1,743	1,603	1,741	1,455
64	1,748	1,855	1,624	1,494	1,635	1,341
63	1,647	1,758	1,515	1,393	1,540	1,234
62	1,551	1,664	1,415	1,301	1,452	1,137
61	1,435	1,549	1,296	1,217	1,371	1,052
60	1,370	1,481	1,230	1,144	1,297	980
59	1,264	1,375	1,120	1,078	1,226	918
58	1,189	1,297	1,047	1,015	1,157	863
57	1,112	1,216	971	952	1,085	808
56	1,054	1,154	915	885	1,010	751
55	995	1,091	858	813	928	688
54	944	1,036	809	737	844	621
53	890	978	758	662	762	554
52	843	926	717	593	688	491
51	782	861	660	533	624	435
50	745	821	629	484	573	388
49	690	761	580	446	535	350
48	648	714	546	415	505	318
47	605	667	510	389	480	290.9
46	570	627	482	366	455	267.7
45	542	595	460	342	429	246.9
44	509	558	434	317	399	227.8
43	482	527	413	292.6	368	210.4
42	461	503	397	269.3	338	194.4
41	430	470	371	248.3	311	180
40	414	452	358	230.3	288.3	167.1
39	388	424	336	215.5	270.6	155.3
38	369	404	320	203.1	256.6	144.7
37	348	382	301	192	244.1	135.2
36	331	364	287.2	181.4	231.7	126.7
35	315	347	273	170.6	217.9	119.1
34	298.6	330	259	159	201.8	112.2
33	284.9	316	246.7	147.3	184.8	106.2
32	272.6	303	235.5	136.5	168.6	101.1
31	258.6	288.5	222.6	127.2	154.5	97
30	251.6	281.1	216.4	120	143.4	94
29	241	270.6	205.9	115	135.7	92
28	233.5	263.4	198.5	111.8	130.7	90.9
27	226.2	257	190.2	109.6	127.3	90
26	220.1	252.2	182.9	107.3	124	88.9
25	214.4	248.1	175.8	104.3	119.9	87
24	209.3	244.6	169.2	99.8	114.1	84
23	203.3	239.9	162.3	94	106.8	80
22	196.5	233.5	155.8	87.7	98.7	75.6
21	187.9	224.3	149	81.6	90.8	71.4
20	178.3	212.5	142.7	76.1	83.7	67.7
19	167.2	197.9	135.3	71.6	77.6	64.9
18	154.8	181.3	127.5	67.8	72.3	62.8
17	139.7	160.6	118.1	64.1	67.3	60.6
16	125.5	141.2	109.3	59.8	61.8	57.5
15	111	122.7	99	54.3	55.5	52.9
14	100.1	109.7	90.2	47.7	48.4	46.8
13	92	100.1	83.7	40.5	41.1	39.9
12	87.4	94.8	79.8	34.4	35	33.7
11	86	93.2	78.5	30.4	31.2	29.6
10	88.2	95.9	80.2	28.4	29.4	27.4
9	93.4	101.8	84.8	30	31.4	28.5
8	102.6	111.3	93.6	36.6	38.8	34.2
7	116.8	126.1	107.2	46.5	49.5	43.2
6	136.7	146.4	126.6	57.2	60.5	53.6
5	165.2	175.6	154.5	66.6	69	63.9
4	216.1	228.6	203.1	72.2	72.2	72.3
3	302	320	283.2	73.9	69.6	78.6
2	438	462	414	100.6	90.7	111.1
1	721	757	684	269.3	247.9	292.1
0	4,972	5,488	4,450	2,091	2,131	2,048

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 Equatorial Guinea, the most common age of death is 0, compared to 81 in India. The median age of death is 71.3 in Equatorial Guinea and 76.8 in India, 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 Equatorial Guinea and India more than their death rates.

Life expectancy in other countries

+ -

1x