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

Life expectancy by current age

Chart Table

Equatorial Guinea

Male

Female

Pakistan

Male

Female

1x

Current age, years	Total life expectancy, years
	Equatorial Guinea			Pakistan
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	101.7	101.6	101.7
99	101	100.9	101	100.7	100.6	100.8
98	100.1	100.1	100.1	99.8	99.7	99.8
97	99.2	99.2	99.2	98.9	98.8	98.9
96	98.3	98.3	98.3	98	97.9	98
95	97.4	97.4	97.4	97.1	97	97.2
94	96.5	96.5	96.5	96.2	96.1	96.3
93	95.7	95.6	95.7	95.4	95.2	95.5
92	94.8	94.8	94.9	94.6	94.3	94.7
91	94	94	94	93.7	93.5	93.9
90	93.2	93.1	93.2	92.9	92.7	93.1
89	92.4	92.3	92.4	92.1	91.9	92.3
88	91.6	91.5	91.6	91.4	91.1	91.6
87	90.8	90.7	90.9	90.6	90.3	90.8
86	90	89.9	90.1	89.9	89.6	90.1
85	89.3	89.2	89.4	89.1	88.9	89.4
84	88.6	88.4	88.7	88.4	88.1	88.7
83	87.9	87.7	88	87.7	87.4	88
82	87.2	87	87.3	87.1	86.8	87.3
81	86.5	86.3	86.6	86.4	86.1	86.7
80	85.8	85.6	86	85.8	85.4	86.1
79	85.2	85	85.4	85.2	84.8	85.5
78	84.6	84.4	84.8	84.6	84.2	85
77	84	83.7	84.2	84.1	83.6	84.5
76	83.4	83.1	83.7	83.5	83	84
75	82.9	82.6	83.1	83	82.5	83.5
74	82.3	82	82.6	82.5	81.9	83
73	81.8	81.4	82.1	82	81.4	82.6
72	81.3	80.9	81.6	81.6	80.9	82.2
71	80.8	80.4	81.2	81.1	80.4	81.8
70	80.3	79.9	80.7	80.7	80	81.4
69	79.9	79.4	80.3	80.3	79.5	81.1
68	79.5	79	79.9	79.9	79.1	80.7
67	79	78.6	79.5	79.6	78.7	80.4
66	78.7	78.1	79.2	79.2	78.3	80.1
65	78.3	77.7	78.8	78.9	77.9	79.8
64	77.9	77.3	78.5	78.6	77.5	79.6
63	77.5	76.9	78.1	78.3	77.2	79.3
62	77.2	76.6	77.8	78	76.8	79.1
61	76.9	76.2	77.6	77.7	76.5	78.8
60	76.6	75.9	77.3	77.4	76.2	78.6
59	76.3	75.6	77	77.2	75.9	78.4
58	76	75.2	76.8	76.9	75.6	78.2
57	75.7	74.9	76.5	76.7	75.4	78
56	75.4	74.7	76.3	76.5	75.1	77.9
55	75.2	74.4	76.1	76.3	74.9	77.7
54	74.9	74.1	75.9	76.1	74.6	77.5
53	74.7	73.8	75.6	75.9	74.4	77.4
52	74.5	73.6	75.4	75.7	74.2	77.2
51	74.2	73.3	75.3	75.5	74	77.1
50	74	73.1	75.1	75.4	73.8	77
49	73.8	72.9	74.9	75.2	73.7	76.8
48	73.6	72.7	74.7	75.1	73.5	76.7
47	73.4	72.5	74.6	75	73.3	76.6
46	73.2	72.3	74.4	74.8	73.2	76.5
45	73.1	72.1	74.2	74.7	73.1	76.4
44	72.9	71.9	74.1	74.6	72.9	76.3
43	72.7	71.7	73.9	74.5	72.8	76.2
42	72.5	71.5	73.8	74.4	72.7	76.1
41	72.4	71.4	73.7	74.3	72.6	76.1
40	72.2	71.2	73.5	74.2	72.5	76
39	72.1	71	73.4	74.1	72.4	75.9
38	72	70.9	73.3	74	72.3	75.8
37	71.8	70.7	73.2	73.9	72.2	75.8
36	71.7	70.6	73	73.9	72.1	75.7
35	71.6	70.4	72.9	73.8	72	75.6
34	71.4	70.3	72.8	73.7	71.9	75.6
33	71.3	70.2	72.7	73.6	71.8	75.5
32	71.2	70.1	72.6	73.6	71.8	75.4
31	71.1	69.9	72.5	73.5	71.7	75.4
30	71	69.8	72.4	73.4	71.6	75.3
29	70.8	69.7	72.3	73.3	71.5	75.3
28	70.7	69.6	72.2	73.3	71.4	75.2
27	70.6	69.4	72.1	73.2	71.3	75.2
26	70.5	69.3	72	73.1	71.3	75.1
25	70.4	69.2	71.9	73.1	71.2	75.1
24	70.3	69.1	71.8	73	71.1	75
23	70.2	68.9	71.8	72.9	71	75
22	70.1	68.8	71.7	72.9	70.9	74.9
21	70	68.7	71.6	72.8	70.8	74.9
20	69.9	68.6	71.5	72.7	70.7	74.8
19	69.8	68.5	71.4	72.7	70.6	74.8
18	69.7	68.4	71.4	72.6	70.6	74.8
17	69.6	68.3	71.3	72.5	70.5	74.7
16	69.6	68.2	71.2	72.5	70.4	74.7
15	69.5	68.2	71.2	72.5	70.4	74.7
14	69.5	68.1	71.1	72.4	70.3	74.6
13	69.4	68	71.1	72.4	70.3	74.6
12	69.3	68	71	72.3	70.3	74.6
11	69.3	67.9	71	72.3	70.2	74.5
10	69.2	67.9	70.9	72.3	70.2	74.5
9	69.2	67.8	70.9	72.3	70.1	74.5
8	69.1	67.7	70.8	72.2	70.1	74.5
7	69	67.6	70.7	72.2	70	74.5
6	68.9	67.5	70.6	72.1	70	74.4
5	68.8	67.4	70.5	72.1	69.9	74.4
4	68.7	67.3	70.4	72	69.8	74.3
3	68.5	67	70.2	71.8	69.6	74.2
2	68.2	66.7	69.9	71.7	69.5	74
1	67.7	66.2	69.4	71.4	69.2	73.7
0	64.3	62.6	66.3	68.1	65.7	70.6

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 73.4 in Pakistan, rising to 78.3 and 78.9 at 65, and to 85.8 and 85.8 at 80 — higher than the 64.3 and 68.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Equatorial Guinea

Male

Female

Pakistan

Male

Female

1x

Age	Survival probability
	Equatorial Guinea			Pakistan
	Average	Male	Female	Average	Male	Female
100	0.11%	0.08%	0.14%	0.08%	0.04%	0.13%
99	0.18%	0.14%	0.22%	0.13%	0.07%	0.22%
98	0.28%	0.22%	0.35%	0.23%	0.12%	0.37%
97	0.43%	0.33%	0.54%	0.38%	0.2%	0.61%
96	0.65%	0.5%	0.81%	0.62%	0.33%	0.96%
95	0.95%	0.74%	1.18%	0.95%	0.54%	1.46%
94	1.35%	1.06%	1.67%	1.43%	0.84%	2.14%
93	1.88%	1.48%	2.32%	2.07%	1.27%	3.03%
92	2.56%	2.03%	3.14%	2.92%	1.86%	4.16%
91	3.4%	2.72%	4.15%	3.99%	2.65%	5.55%
90	4.44%	3.58%	5.4%	5.31%	3.65%	7.22%
89	5.68%	4.62%	6.87%	6.9%	4.88%	9.2%
88	7.14%	5.86%	8.58%	8.76%	6.34%	11.5%
87	8.83%	7.31%	10.5%	10.9%	8.05%	14.1%
86	10.7%	8.96%	12.7%	13.3%	9.99%	17%
85	12.8%	10.8%	15.2%	15.9%	12.2%	20.1%
84	15.2%	12.9%	17.8%	18.8%	14.6%	23.5%
83	17.6%	15.1%	20.6%	21.9%	17.1%	27%
82	20.2%	17.5%	23.5%	25.1%	19.9%	30.7%
81	22.9%	19.9%	26.4%	28.3%	22.8%	34.3%
80	25.7%	22.6%	29.5%	31.7%	25.8%	38%
79	28.6%	25.2%	32.6%	35%	28.9%	41.6%
78	31.5%	28%	35.7%	38.3%	32%	45.1%
77	34.4%	30.7%	38.7%	41.6%	35.1%	48.5%
76	37.3%	33.5%	41.8%	44.8%	38.2%	51.7%
75	40.1%	36.3%	44.7%	47.8%	41.3%	54.8%
74	42.9%	39%	47.6%	50.8%	44.3%	57.8%
73	45.6%	41.7%	50.4%	53.6%	47.2%	60.6%
72	48.2%	44.3%	53.1%	56.4%	50%	63.2%
71	50.7%	46.8%	55.6%	58.9%	52.7%	65.6%
70	53.1%	49.3%	58%	61.4%	55.3%	67.8%
69	55.4%	51.6%	60.2%	63.7%	57.8%	69.9%
68	57.6%	53.8%	62.3%	65.8%	60.1%	71.8%
67	59.6%	56%	64.3%	67.8%	62.4%	73.6%
66	61.6%	58%	66.1%	69.7%	64.5%	75.2%
65	63.4%	60%	67.9%	71.4%	66.4%	76.7%
64	65.2%	61.8%	69.5%	73%	68.3%	78.1%
63	66.8%	63.6%	71%	74.6%	70.1%	79.3%
62	68.4%	65.2%	72.4%	76%	71.7%	80.4%
61	69.8%	66.8%	73.7%	77.3%	73.3%	81.5%
60	71.2%	68.3%	74.9%	78.5%	74.7%	82.5%
59	72.5%	69.6%	76.1%	79.6%	76%	83.4%
58	73.6%	70.9%	77.1%	80.6%	77.3%	84.2%
57	74.8%	72.2%	78.1%	81.6%	78.5%	84.9%
56	75.8%	73.3%	79%	82.5%	79.5%	85.6%
55	76.8%	74.4%	79.8%	83.3%	80.5%	86.3%
54	77.7%	75.4%	80.7%	84.1%	81.4%	86.9%
53	78.6%	76.4%	81.4%	84.8%	82.3%	87.4%
52	79.5%	77.3%	82.1%	85.4%	83%	87.9%
51	80.3%	78.2%	82.8%	86%	83.8%	88.4%
50	81%	79%	83.4%	86.6%	84.4%	88.9%
49	81.7%	79.8%	84%	87.1%	85%	89.3%
48	82.3%	80.5%	84.5%	87.5%	85.6%	89.6%
47	82.9%	81.2%	85.1%	88%	86.1%	90%
46	83.5%	81.8%	85.5%	88.4%	86.6%	90.3%
45	84.1%	82.4%	86%	88.7%	87%	90.6%
44	84.6%	82.9%	86.4%	89.1%	87.4%	90.9%
43	85.1%	83.5%	86.8%	89.4%	87.8%	91.1%
42	85.5%	84%	87.2%	89.7%	88.1%	91.4%
41	85.9%	84.4%	87.6%	89.9%	88.4%	91.6%
40	86.4%	84.9%	88%	90.2%	88.7%	91.8%
39	86.7%	85.3%	88.3%	90.4%	89%	92%
38	87.1%	85.7%	88.6%	90.6%	89.2%	92.1%
37	87.5%	86.1%	88.9%	90.8%	89.5%	92.3%
36	87.8%	86.5%	89.2%	91%	89.7%	92.5%
35	88.1%	86.8%	89.5%	91.2%	89.9%	92.6%
34	88.4%	87.2%	89.7%	91.4%	90.1%	92.7%
33	88.7%	87.5%	90%	91.6%	90.3%	92.9%
32	89%	87.8%	90.2%	91.7%	90.5%	93%
31	89.2%	88.1%	90.4%	91.9%	90.7%	93.1%
30	89.5%	88.3%	90.7%	92%	90.9%	93.2%
29	89.7%	88.6%	90.9%	92.2%	91%	93.4%
28	89.9%	88.9%	91.1%	92.3%	91.2%	93.5%
27	90.2%	89.1%	91.3%	92.4%	91.4%	93.6%
26	90.4%	89.4%	91.4%	92.6%	91.5%	93.7%
25	90.6%	89.6%	91.6%	92.7%	91.7%	93.8%
24	90.8%	89.9%	91.8%	92.8%	91.9%	93.9%
23	91%	90.1%	92%	93%	92.1%	93.9%
22	91.2%	90.3%	92.1%	93.1%	92.2%	94%
21	91.4%	90.6%	92.3%	93.2%	92.4%	94.1%
20	91.6%	90.8%	92.4%	93.4%	92.6%	94.2%
19	91.8%	91%	92.5%	93.5%	92.7%	94.3%
18	91.9%	91.2%	92.7%	93.6%	92.9%	94.3%
17	92%	91.3%	92.8%	93.7%	93%	94.4%
16	92.2%	91.5%	92.9%	93.7%	93.1%	94.4%
15	92.3%	91.6%	93%	93.8%	93.2%	94.5%
14	92.4%	91.7%	93.1%	93.9%	93.3%	94.5%
13	92.5%	91.8%	93.2%	93.9%	93.3%	94.6%
12	92.6%	91.9%	93.2%	94%	93.4%	94.6%
11	92.6%	92%	93.3%	94%	93.5%	94.6%
10	92.7%	92.1%	93.4%	94.1%	93.5%	94.7%
9	92.8%	92.2%	93.5%	94.1%	93.6%	94.7%
8	92.9%	92.3%	93.6%	94.2%	93.6%	94.7%
7	93%	92.4%	93.7%	94.2%	93.7%	94.8%
6	93.2%	92.6%	93.8%	94.3%	93.8%	94.8%
5	93.4%	92.7%	94%	94.4%	93.9%	94.9%
4	93.6%	93%	94.2%	94.5%	94.1%	95%
3	93.9%	93.3%	94.5%	94.7%	94.3%	95.2%
2	94.3%	93.8%	94.9%	95%	94.6%	95.4%
1	95%	94.5%	95.5%	95.3%	94.9%	95.8%

This chart shows the odds of living to each age from birth. 71.2% of newborns in Equatorial Guinea and 78.5% in Pakistan are expected to live past 60, 53.1% and 61.4% past 70, 25.7% and 31.7% past 80, and only 4.44% and 5.31% 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

Pakistan

Male

Female

1x

Age	Probability of dying
	Equatorial Guinea			Pakistan
	Average	Male	Female	Average	Male	Female
100	40%	39.9%	40.2%	46%	47.6%	45.4%
99	38.5%	38.4%	38.5%	43.8%	45.7%	43%
98	36.6%	36.6%	36.6%	41.9%	43.7%	41%
97	35%	35.2%	34.9%	39.8%	41.7%	38.9%
96	33.4%	33.6%	33.3%	37.7%	39.8%	36.6%
95	31.7%	32%	31.5%	35.5%	37.9%	34.2%
94	29.9%	30.3%	29.6%	33.2%	35.9%	31.7%
93	28.2%	28.6%	27.9%	31%	33.9%	29.4%
92	26.5%	27.1%	26.2%	28.9%	31.8%	27.1%
91	24.7%	25.3%	24.4%	26.9%	29.6%	25.1%
90	23.5%	24.1%	23.1%	24.9%	27.4%	23.2%
89	21.8%	22.5%	21.4%	23%	25.2%	21.5%
88	20.5%	21.1%	20%	21.3%	23.1%	19.9%
87	19.1%	19.7%	18.6%	19.6%	21.2%	18.4%
86	17.8%	18.5%	17.3%	18.1%	19.4%	17%
85	16.4%	17.1%	16%	16.6%	17.9%	15.7%
84	15.2%	16%	14.7%	15.3%	16.4%	14.3%
83	14%	14.7%	13.5%	14%	15.1%	13.1%
82	12.9%	13.6%	12.4%	12.8%	13.9%	11.9%
81	11.7%	12.4%	11.2%	11.6%	12.7%	10.7%
80	11%	11.6%	10.4%	10.5%	11.7%	9.64%
79	9.99%	10.6%	9.46%	9.54%	10.7%	8.66%
78	9.23%	9.82%	8.71%	8.64%	9.71%	7.77%
77	8.41%	8.99%	7.9%	7.82%	8.86%	6.98%
76	7.74%	8.3%	7.26%	7.08%	8.08%	6.28%
75	7.11%	7.64%	6.65%	6.43%	7.38%	5.65%
74	6.49%	7.01%	6.04%	5.84%	6.74%	5.09%
73	5.93%	6.43%	5.49%	5.3%	6.16%	4.58%
72	5.43%	5.91%	5.02%	4.82%	5.63%	4.12%
71	4.89%	5.34%	4.49%	4.37%	5.14%	3.7%
70	4.55%	4.97%	4.16%	3.97%	4.7%	3.32%
69	4.1%	4.51%	3.7%	3.6%	4.29%	2.98%
68	3.77%	4.15%	3.38%	3.26%	3.91%	2.67%
67	3.44%	3.81%	3.06%	2.96%	3.57%	2.4%
66	3.15%	3.51%	2.79%	2.68%	3.27%	2.15%
65	2.93%	3.26%	2.57%	2.44%	2.99%	1.93%
64	2.68%	3%	2.34%	2.22%	2.74%	1.74%
63	2.46%	2.77%	2.13%	2.02%	2.51%	1.57%
62	2.27%	2.55%	1.95%	1.85%	2.3%	1.42%
61	2.06%	2.32%	1.76%	1.69%	2.11%	1.29%
60	1.92%	2.17%	1.64%	1.54%	1.93%	1.17%
59	1.74%	1.97%	1.47%	1.41%	1.77%	1.07%
58	1.62%	1.83%	1.36%	1.29%	1.62%	0.97%
57	1.49%	1.69%	1.24%	1.18%	1.48%	0.89%
56	1.39%	1.57%	1.16%	1.08%	1.35%	0.82%
55	1.3%	1.47%	1.07%	0.99%	1.23%	0.75%
54	1.21%	1.37%	1%	0.9%	1.12%	0.69%
53	1.13%	1.28%	0.93%	0.83%	1.02%	0.63%
52	1.06%	1.2%	0.87%	0.76%	0.93%	0.58%
51	0.97%	1.1%	0.8%	0.69%	0.85%	0.54%
50	0.92%	1.04%	0.75%	0.64%	0.78%	0.5%
49	0.84%	0.95%	0.69%	0.59%	0.71%	0.46%
48	0.79%	0.89%	0.65%	0.54%	0.65%	0.42%
47	0.73%	0.82%	0.6%	0.49%	0.6%	0.39%
46	0.68%	0.77%	0.56%	0.45%	0.54%	0.35%
45	0.64%	0.72%	0.53%	0.41%	0.5%	0.33%
44	0.6%	0.67%	0.5%	0.38%	0.46%	0.3%
43	0.57%	0.63%	0.48%	0.35%	0.42%	0.27%
42	0.54%	0.6%	0.45%	0.32%	0.38%	0.25%
41	0.5%	0.56%	0.42%	0.3%	0.35%	0.24%
40	0.48%	0.53%	0.41%	0.27%	0.33%	0.22%
39	0.45%	0.5%	0.38%	0.26%	0.31%	0.2%
38	0.42%	0.47%	0.36%	0.24%	0.29%	0.19%
37	0.4%	0.44%	0.34%	0.23%	0.27%	0.18%
36	0.38%	0.42%	0.32%	0.21%	0.25%	0.17%
35	0.36%	0.4%	0.31%	0.2%	0.24%	0.16%
34	0.34%	0.38%	0.29%	0.19%	0.23%	0.15%
33	0.32%	0.36%	0.27%	0.18%	0.22%	0.14%
32	0.31%	0.35%	0.26%	0.17%	0.21%	0.14%
31	0.29%	0.33%	0.25%	0.17%	0.2%	0.13%
30	0.28%	0.32%	0.24%	0.16%	0.2%	0.12%
29	0.27%	0.31%	0.23%	0.16%	0.19%	0.12%
28	0.26%	0.3%	0.22%	0.15%	0.19%	0.11%
27	0.25%	0.29%	0.21%	0.15%	0.19%	0.11%
26	0.24%	0.28%	0.2%	0.15%	0.19%	0.11%
25	0.24%	0.28%	0.19%	0.15%	0.19%	0.1%
24	0.23%	0.27%	0.18%	0.15%	0.19%	0.1%
23	0.22%	0.27%	0.18%	0.14%	0.19%	0.1%
22	0.22%	0.26%	0.17%	0.14%	0.19%	0.09%
21	0.21%	0.25%	0.16%	0.14%	0.18%	0.09%
20	0.19%	0.23%	0.15%	0.13%	0.17%	0.08%
19	0.18%	0.22%	0.15%	0.12%	0.16%	0.08%
18	0.17%	0.2%	0.14%	0.11%	0.15%	0.07%
17	0.15%	0.18%	0.13%	0.1%	0.13%	0.06%
16	0.14%	0.15%	0.12%	0.09%	0.11%	0.06%
15	0.12%	0.13%	0.11%	0.08%	0.1%	0.05%
14	0.11%	0.12%	0.1%	0.07%	0.09%	0.05%
13	0.1%	0.11%	0.09%	0.06%	0.08%	0.04%
12	0.09%	0.1%	0.09%	0.05%	0.07%	0.04%
11	0.09%	0.1%	0.08%	0.05%	0.07%	0.04%
10	0.1%	0.1%	0.09%	0.05%	0.07%	0.03%
9	0.1%	0.11%	0.09%	0.05%	0.07%	0.03%
8	0.11%	0.12%	0.1%	0.06%	0.07%	0.04%
7	0.13%	0.14%	0.11%	0.06%	0.09%	0.04%
6	0.15%	0.16%	0.13%	0.08%	0.1%	0.05%
5	0.18%	0.19%	0.16%	0.1%	0.13%	0.07%
4	0.23%	0.25%	0.22%	0.13%	0.16%	0.1%
3	0.32%	0.34%	0.3%	0.19%	0.21%	0.16%
2	0.46%	0.49%	0.44%	0.27%	0.28%	0.26%
1	0.76%	0.8%	0.72%	0.4%	0.37%	0.42%
0	4.97%	5.49%	4.45%	4.65%	5.09%	4.19%

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

The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 4.65% in Pakistan, 0.28% vs 0.16% at age 30, 1.92% vs 1.54% at 60, and 11% vs 10.5% at 80.

Death rate by age in Equatorial Guinea vs Pakistan

Chart Table

Equatorial Guinea

Male

Female

Pakistan

Male

Female

1x

Age	Death rate
	Equatorial Guinea			Pakistan
	Total	Male	Female	Total	Male	Female
100	0	0	0	0	0	0
99	68.2	52.5	85.6	58.8	30.2	94.6
98	102.3	78.9	128	96.7	51.2	153
97	150.8	116.9	188	152.8	83.9	237.3
96	216	168.5	268.1	231.9	132.9	352
95	300	236.2	371	338	203.5	500
94	404	320	496	475	301	680
93	529	425	646	643	431	890
92	678	550	822	843	593	1,128
91	841	690	1,012	1,071	785	1,390
90	1,044	863	1,249	1,322	1,000	1,675
89	1,240	1,040	1,468	1,588	1,230	1,977
88	1,461	1,239	1,716	1,862	1,467	2,288
87	1,682	1,443	1,958	2,135	1,705	2,597
86	1,906	1,654	2,202	2,400	1,941	2,889
85	2,111	1,853	2,419	2,648	2,171	3,152
84	2,311	2,057	2,621	2,868	2,391	3,370
83	2,466	2,220	2,772	3,053	2,593	3,533
82	2,609	2,375	2,904	3,195	2,768	3,635
81	2,685	2,471	2,956	3,290	2,909	3,677
80	2,820	2,614	3,078	3,339	3,013	3,663
79	2,857	2,677	3,081	3,344	3,080	3,603
78	2,908	2,748	3,108	3,312	3,111	3,507
77	2,893	2,762	3,062	3,250	3,113	3,386
76	2,887	2,781	3,032	3,169	3,091	3,248
75	2,854	2,773	2,974	3,074	3,047	3,097
74	2,787	2,735	2,879	2,965	2,985	2,939
73	2,705	2,680	2,769	2,845	2,907	2,773
72	2,622	2,618	2,661	2,714	2,815	2,602
71	2,482	2,500	2,494	2,576	2,711	2,428
70	2,420	2,451	2,412	2,433	2,597	2,254
69	2,271	2,326	2,229	2,289	2,477	2,083
68	2,168	2,237	2,107	2,145	2,353	1,919
67	2,052	2,134	1,968	2,005	2,229	1,763
66	1,942	2,034	1,844	1,871	2,106	1,617
65	1,856	1,957	1,743	1,743	1,986	1,482
64	1,748	1,855	1,624	1,622	1,869	1,358
63	1,647	1,758	1,515	1,509	1,756	1,245
62	1,551	1,664	1,415	1,403	1,648	1,142
61	1,435	1,549	1,296	1,304	1,544	1,049
60	1,370	1,481	1,230	1,211	1,443	965
59	1,264	1,375	1,120	1,124	1,345	889
58	1,189	1,297	1,047	1,041	1,251	819
57	1,112	1,216	971	964	1,159	756
56	1,054	1,154	915	890	1,072	698
55	995	1,091	858	822	989	646
54	944	1,036	809	758	911	598
53	890	978	758	700	838	554
52	843	926	717	646	772	513
51	782	861	660	597	711	476
50	745	821	629	551	656	441
49	690	761	580	509	605	409
48	648	714	546	470	557	378
47	605	667	510	433	513	348
46	570	627	482	398	472	321
45	542	595	460	366	434	294.9
44	509	558	434	337	399	271.4
43	482	527	413	310	367	250.3
42	461	503	397	286.7	339	231.7
41	430	470	371	265.8	314	215.3
40	414	452	358	247.4	291.4	200.9
39	388	424	336	231.3	272	188.2
38	369	404	320	217.2	255.1	176.8
37	348	382	301	204.7	240.4	166.4
36	331	364	287.2	193.6	227.5	156.9
35	315	347	273	183.5	216.3	148.2
34	298.6	330	259	174.5	206.3	140.2
33	284.9	316	246.7	166.4	197.5	133
32	272.6	303	235.5	159.3	189.7	126.4
31	258.6	288.5	222.6	153	183	120.6
30	251.6	281.1	216.4	147.6	177.5	115.4
29	241	270.6	205.9	143.3	173.5	110.9
28	233.5	263.4	198.5	140.1	171.1	106.9
27	226.2	257	190.2	137.9	170.3	103.3
26	220.1	252.2	182.9	136.6	170.9	100
25	214.4	248.1	175.8	135.8	172.4	96.8
24	209.3	244.6	169.2	135	174	93.4
23	203.3	239.9	162.3	133.5	174.7	89.7
22	196.5	233.5	155.8	130.8	173.4	85.6
21	187.9	224.3	149	126.5	169.1	81
20	178.3	212.5	142.7	120	161.3	76
19	167.2	197.9	135.3	111.7	150	70.8
18	154.8	181.3	127.5	101.9	136.1	65.5
17	139.7	160.6	118.1	91.4	120.7	60.3
16	125.5	141.2	109.3	81	105.3	55.2
15	111	122.7	99	71.4	91.2	50.3
14	100.1	109.7	90.2	63	79.4	45.7
13	92	100.1	83.7	56.3	70.4	41.3
12	87.4	94.8	79.8	51.4	64.4	37.6
11	86	93.2	78.5	48.3	61.3	34.6
10	88.2	95.9	80.2	47.3	61.1	32.8
9	93.4	101.8	84.8	48.6	63.8	32.6
8	102.6	111.3	93.6	52.7	69.9	34.6
7	116.8	126.1	107.2	60.5	80.3	39.7
6	136.7	146.4	126.6	73.5	96.2	49.5
5	165.2	175.6	154.5	94.2	119.5	67.4
4	216.1	228.6	203.1	126.6	153	98.7
3	302	320	283.2	177	199.9	152.9
2	438	462	414	255.7	265	245.8
1	721	757	684	378	354	403
0	4,972	5,488	4,450	4,650	5,086	4,193

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 0 in Pakistan. The median age of death is 71.3 in Equatorial Guinea and 74.3 in Pakistan, 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 Pakistan more than their death rates.

Life expectancy in other countries

+ -

1x