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

Life expectancy by current age

Chart Table

Equatorial Guinea

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Equatorial Guinea			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102.2	101.9	102.2
99	101	100.9	101	101.2	101	101.3
98	100.1	100.1	100.1	100.4	100.1	100.4
97	99.2	99.2	99.2	99.5	99.2	99.5
96	98.3	98.3	98.3	98.6	98.4	98.7
95	97.4	97.4	97.4	97.7	97.5	97.8
94	96.5	96.5	96.5	96.9	96.6	97
93	95.7	95.6	95.7	96	95.7	96.1
92	94.8	94.8	94.9	95.2	94.9	95.3
91	94	94	94	94.4	94	94.5
90	93.2	93.1	93.2	93.6	93.2	93.8
89	92.4	92.3	92.4	92.8	92.4	93
88	91.6	91.5	91.6	92	91.6	92.2
87	90.8	90.7	90.9	91.2	90.8	91.5
86	90	89.9	90.1	90.5	90	90.8
85	89.3	89.2	89.4	89.8	89.2	90.1
84	88.6	88.4	88.7	89	88.4	89.4
83	87.9	87.7	88	88.4	87.7	88.7
82	87.2	87	87.3	87.7	87	88.1
81	86.5	86.3	86.6	87	86.3	87.5
80	85.8	85.6	86	86.4	85.6	86.9
79	85.2	85	85.4	85.8	84.9	86.3
78	84.6	84.4	84.8	85.1	84.2	85.7
77	84	83.7	84.2	84.5	83.6	85.2
76	83.4	83.1	83.7	83.9	83	84.6
75	82.9	82.6	83.1	83.4	82.3	84.1
74	82.3	82	82.6	82.8	81.7	83.5
73	81.8	81.4	82.1	82.2	81.2	83
72	81.3	80.9	81.6	81.7	80.6	82.5
71	80.8	80.4	81.2	81.2	80	82.1
70	80.3	79.9	80.7	80.7	79.5	81.6
69	79.9	79.4	80.3	80.2	79	81.1
68	79.5	79	79.9	79.7	78.4	80.7
67	79	78.6	79.5	79.2	77.9	80.2
66	78.7	78.1	79.2	78.8	77.5	79.8
65	78.3	77.7	78.8	78.3	77	79.4
64	77.9	77.3	78.5	77.9	76.5	79
63	77.5	76.9	78.1	77.5	76.1	78.6
62	77.2	76.6	77.8	77.1	75.6	78.2
61	76.9	76.2	77.6	76.7	75.2	77.9
60	76.6	75.9	77.3	76.3	74.8	77.5
59	76.3	75.6	77	75.9	74.4	77.2
58	76	75.2	76.8	75.6	74	76.9
57	75.7	74.9	76.5	75.2	73.6	76.6
56	75.4	74.7	76.3	74.9	73.2	76.3
55	75.2	74.4	76.1	74.6	72.8	76
54	74.9	74.1	75.9	74.2	72.5	75.7
53	74.7	73.8	75.6	73.9	72.1	75.4
52	74.5	73.6	75.4	73.6	71.8	75.1
51	74.2	73.3	75.3	73.3	71.4	74.8
50	74	73.1	75.1	73	71.1	74.6
49	73.8	72.9	74.9	72.7	70.8	74.3
48	73.6	72.7	74.7	72.5	70.5	74
47	73.4	72.5	74.6	72.2	70.2	73.8
46	73.2	72.3	74.4	71.9	69.9	73.6
45	73.1	72.1	74.2	71.7	69.6	73.3
44	72.9	71.9	74.1	71.4	69.3	73.1
43	72.7	71.7	73.9	71.2	69	72.9
42	72.5	71.5	73.8	70.9	68.7	72.7
41	72.4	71.4	73.7	70.7	68.5	72.5
40	72.2	71.2	73.5	70.5	68.2	72.2
39	72.1	71	73.4	70.2	68	72
38	72	70.9	73.3	70	67.8	71.9
37	71.8	70.7	73.2	69.8	67.5	71.7
36	71.7	70.6	73	69.6	67.3	71.5
35	71.6	70.4	72.9	69.4	67.1	71.3
34	71.4	70.3	72.8	69.2	66.9	71.1
33	71.3	70.2	72.7	69	66.7	71
32	71.2	70.1	72.6	68.9	66.5	70.8
31	71.1	69.9	72.5	68.7	66.3	70.6
30	71	69.8	72.4	68.5	66.2	70.5
29	70.8	69.7	72.3	68.4	66	70.4
28	70.7	69.6	72.2	68.2	65.8	70.2
27	70.6	69.4	72.1	68.1	65.7	70.1
26	70.5	69.3	72	68	65.5	70
25	70.4	69.2	71.9	67.8	65.4	69.8
24	70.3	69.1	71.8	67.7	65.3	69.7
23	70.2	68.9	71.8	67.6	65.1	69.6
22	70.1	68.8	71.7	67.5	65	69.5
21	70	68.7	71.6	67.4	64.9	69.4
20	69.9	68.6	71.5	67.3	64.8	69.3
19	69.8	68.5	71.4	67.2	64.7	69.3
18	69.7	68.4	71.4	67.1	64.6	69.2
17	69.6	68.3	71.3	67	64.5	69.1
16	69.6	68.2	71.2	67	64.4	69.1
15	69.5	68.2	71.2	66.9	64.4	69
14	69.5	68.1	71.1	66.8	64.3	69
13	69.4	68	71.1	66.8	64.3	68.9
12	69.3	68	71	66.8	64.2	68.9
11	69.3	67.9	71	66.7	64.2	68.8
10	69.2	67.9	70.9	66.7	64.2	68.8
9	69.2	67.8	70.9	66.6	64.1	68.8
8	69.1	67.7	70.8	66.6	64.1	68.7
7	69	67.6	70.7	66.5	64	68.7
6	68.9	67.5	70.6	66.5	64	68.6
5	68.8	67.4	70.5	66.4	63.9	68.5
4	68.7	67.3	70.4	66.3	63.8	68.4
3	68.5	67	70.2	66.2	63.6	68.3
2	68.2	66.7	69.9	66	63.5	68.1
1	67.7	66.2	69.4	65.6	63.2	67.7
0	64.3	62.6	66.3	63.6	61	65.9

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 68.5 in Zimbabwe, rising to 78.3 and 78.3 at 65, and to 85.8 and 86.4 at 80 — higher than the 64.3 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Equatorial Guinea

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Equatorial Guinea			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	0.11%	0.08%	0.14%	0.2%	0.07%	0.33%
99	0.18%	0.14%	0.22%	0.31%	0.12%	0.5%
98	0.28%	0.22%	0.35%	0.46%	0.18%	0.73%
97	0.43%	0.33%	0.54%	0.66%	0.27%	1.05%
96	0.65%	0.5%	0.81%	0.94%	0.4%	1.47%
95	0.95%	0.74%	1.18%	1.3%	0.59%	2.02%
94	1.35%	1.06%	1.67%	1.77%	0.83%	2.71%
93	1.88%	1.48%	2.32%	2.36%	1.15%	3.55%
92	2.56%	2.03%	3.14%	3.08%	1.57%	4.57%
91	3.4%	2.72%	4.15%	3.95%	2.09%	5.75%
90	4.44%	3.58%	5.4%	4.99%	2.73%	7.15%
89	5.68%	4.62%	6.87%	6.18%	3.51%	8.72%
88	7.14%	5.86%	8.58%	7.56%	4.44%	10.5%
87	8.83%	7.31%	10.5%	9.1%	5.53%	12.4%
86	10.7%	8.96%	12.7%	10.8%	6.78%	14.5%
85	12.8%	10.8%	15.2%	12.7%	8.2%	16.8%
84	15.2%	12.9%	17.8%	14.7%	9.78%	19.1%
83	17.6%	15.1%	20.6%	16.8%	11.5%	21.5%
82	20.2%	17.5%	23.5%	19%	13.4%	24%
81	22.9%	19.9%	26.4%	21.2%	15.4%	26.4%
80	25.7%	22.6%	29.5%	23.5%	17.5%	28.8%
79	28.6%	25.2%	32.6%	25.9%	19.7%	31.3%
78	31.5%	28%	35.7%	28.3%	21.9%	33.8%
77	34.4%	30.7%	38.7%	30.7%	24.3%	36.3%
76	37.3%	33.5%	41.8%	33.2%	26.6%	38.7%
75	40.1%	36.3%	44.7%	35.6%	29%	41.2%
74	42.9%	39%	47.6%	38%	31.4%	43.6%
73	45.6%	41.7%	50.4%	40.4%	33.9%	45.9%
72	48.2%	44.3%	53.1%	42.8%	36.3%	48.2%
71	50.7%	46.8%	55.6%	45.1%	38.6%	50.4%
70	53.1%	49.3%	58%	47.3%	40.9%	52.6%
69	55.4%	51.6%	60.2%	49.5%	43.2%	54.7%
68	57.6%	53.8%	62.3%	51.6%	45.4%	56.7%
67	59.6%	56%	64.3%	53.6%	47.6%	58.6%
66	61.6%	58%	66.1%	55.6%	49.7%	60.5%
65	63.4%	60%	67.9%	57.6%	51.8%	62.3%
64	65.2%	61.8%	69.5%	59.5%	53.8%	64%
63	66.8%	63.6%	71%	61.2%	55.8%	65.7%
62	68.4%	65.2%	72.4%	63%	57.7%	67.2%
61	69.8%	66.8%	73.7%	64.6%	59.5%	68.7%
60	71.2%	68.3%	74.9%	66.2%	61.2%	70.1%
59	72.5%	69.6%	76.1%	67.6%	62.9%	71.4%
58	73.6%	70.9%	77.1%	69.1%	64.5%	72.7%
57	74.8%	72.2%	78.1%	70.4%	66%	73.9%
56	75.8%	73.3%	79%	71.7%	67.5%	75%
55	76.8%	74.4%	79.8%	72.9%	69%	76.1%
54	77.7%	75.4%	80.7%	74.1%	70.3%	77.2%
53	78.6%	76.4%	81.4%	75.2%	71.7%	78.2%
52	79.5%	77.3%	82.1%	76.3%	73%	79.1%
51	80.3%	78.2%	82.8%	77.4%	74.2%	80.1%
50	81%	79%	83.4%	78.4%	75.4%	81%
49	81.7%	79.8%	84%	79.4%	76.6%	81.8%
48	82.3%	80.5%	84.5%	80.3%	77.7%	82.6%
47	82.9%	81.2%	85.1%	81.2%	78.7%	83.4%
46	83.5%	81.8%	85.5%	82%	79.7%	84.1%
45	84.1%	82.4%	86%	82.9%	80.7%	84.8%
44	84.6%	82.9%	86.4%	83.6%	81.6%	85.5%
43	85.1%	83.5%	86.8%	84.4%	82.5%	86.1%
42	85.5%	84%	87.2%	85.1%	83.3%	86.7%
41	85.9%	84.4%	87.6%	85.8%	84.1%	87.3%
40	86.4%	84.9%	88%	86.4%	84.9%	87.9%
39	86.7%	85.3%	88.3%	87.1%	85.6%	88.4%
38	87.1%	85.7%	88.6%	87.7%	86.3%	89%
37	87.5%	86.1%	88.9%	88.2%	86.9%	89.5%
36	87.8%	86.5%	89.2%	88.8%	87.5%	89.9%
35	88.1%	86.8%	89.5%	89.3%	88.1%	90.4%
34	88.4%	87.2%	89.7%	89.8%	88.7%	90.8%
33	88.7%	87.5%	90%	90.2%	89.2%	91.2%
32	89%	87.8%	90.2%	90.7%	89.7%	91.6%
31	89.2%	88.1%	90.4%	91.1%	90.1%	91.9%
30	89.5%	88.3%	90.7%	91.4%	90.6%	92.3%
29	89.7%	88.6%	90.9%	91.8%	91%	92.6%
28	89.9%	88.9%	91.1%	92.1%	91.4%	92.9%
27	90.2%	89.1%	91.3%	92.5%	91.7%	93.2%
26	90.4%	89.4%	91.4%	92.8%	92.1%	93.5%
25	90.6%	89.6%	91.6%	93.1%	92.4%	93.7%
24	90.8%	89.9%	91.8%	93.3%	92.7%	93.9%
23	91%	90.1%	92%	93.6%	93%	94.2%
22	91.2%	90.3%	92.1%	93.8%	93.3%	94.4%
21	91.4%	90.6%	92.3%	94%	93.5%	94.5%
20	91.6%	90.8%	92.4%	94.2%	93.8%	94.7%
19	91.8%	91%	92.5%	94.4%	94%	94.9%
18	91.9%	91.2%	92.7%	94.6%	94.2%	95%
17	92%	91.3%	92.8%	94.7%	94.3%	95.1%
16	92.2%	91.5%	92.9%	94.8%	94.5%	95.2%
15	92.3%	91.6%	93%	94.9%	94.6%	95.3%
14	92.4%	91.7%	93.1%	95%	94.7%	95.4%
13	92.5%	91.8%	93.2%	95.1%	94.8%	95.5%
12	92.6%	91.9%	93.2%	95.2%	94.8%	95.6%
11	92.6%	92%	93.3%	95.3%	94.9%	95.6%
10	92.7%	92.1%	93.4%	95.3%	95%	95.7%
9	92.8%	92.2%	93.5%	95.4%	95.1%	95.8%
8	92.9%	92.3%	93.6%	95.5%	95.1%	95.8%
7	93%	92.4%	93.7%	95.6%	95.2%	95.9%
6	93.2%	92.6%	93.8%	95.7%	95.3%	96%
5	93.4%	92.7%	94%	95.8%	95.5%	96.1%
4	93.6%	93%	94.2%	95.9%	95.6%	96.3%
3	93.9%	93.3%	94.5%	96.2%	95.8%	96.5%
2	94.3%	93.8%	94.9%	96.5%	96.1%	96.8%
1	95%	94.5%	95.5%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 71.2% of newborns in Equatorial Guinea and 66.2% in Zimbabwe are expected to live past 60, 53.1% and 47.3% past 70, 25.7% and 23.5% past 80, and only 4.44% and 4.99% 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

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Equatorial Guinea			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	40%	39.9%	40.2%	35.7%	38.2%	35%
99	38.5%	38.4%	38.5%	34.3%	36.9%	33.6%
98	36.6%	36.6%	36.6%	32.4%	35.2%	31.7%
97	35%	35.2%	34.9%	31.1%	33.9%	30.2%
96	33.4%	33.6%	33.3%	29.6%	32.5%	28.7%
95	31.7%	32%	31.5%	28.1%	31%	27.1%
94	29.9%	30.3%	29.6%	26.4%	29.5%	25.4%
93	28.2%	28.6%	27.9%	24.9%	27.9%	23.7%
92	26.5%	27.1%	26.2%	23.5%	26.4%	22.2%
91	24.7%	25.3%	24.4%	21.9%	24.9%	20.6%
90	23.5%	24.1%	23.1%	20.9%	23.7%	19.6%
89	21.8%	22.5%	21.4%	19.3%	22.2%	18%
88	20.5%	21.1%	20%	18.2%	20.9%	16.8%
87	19.1%	19.7%	18.6%	16.9%	19.7%	15.6%
86	17.8%	18.5%	17.3%	15.8%	18.5%	14.5%
85	16.4%	17.1%	16%	14.7%	17.3%	13.3%
84	15.2%	16%	14.7%	13.6%	16.2%	12.3%
83	14%	14.7%	13.5%	12.5%	15%	11.2%
82	12.9%	13.6%	12.4%	11.6%	14%	10.2%
81	11.7%	12.4%	11.2%	10.5%	12.9%	9.17%
80	11%	11.6%	10.4%	9.89%	12.1%	8.58%
79	9.99%	10.6%	9.46%	9.11%	11.1%	7.87%
78	9.23%	9.82%	8.71%	8.54%	10.4%	7.38%
77	8.41%	8.99%	7.9%	7.89%	9.57%	6.81%
76	7.74%	8.3%	7.26%	7.37%	8.9%	6.37%
75	7.11%	7.64%	6.65%	6.87%	8.28%	5.94%
74	6.49%	7.01%	6.04%	6.38%	7.68%	5.51%
73	5.93%	6.43%	5.49%	5.92%	7.12%	5.11%
72	5.43%	5.91%	5.02%	5.51%	6.62%	4.76%
71	4.89%	5.34%	4.49%	5.06%	6.09%	4.37%
70	4.55%	4.97%	4.16%	4.75%	5.7%	4.11%
69	4.1%	4.51%	3.7%	4.38%	5.25%	3.78%
68	3.77%	4.15%	3.38%	4.09%	4.9%	3.54%
67	3.44%	3.81%	3.06%	3.82%	4.56%	3.31%
66	3.15%	3.51%	2.79%	3.58%	4.26%	3.1%
65	2.93%	3.26%	2.57%	3.38%	4.01%	2.93%
64	2.68%	3%	2.34%	3.14%	3.74%	2.7%
63	2.46%	2.77%	2.13%	2.92%	3.5%	2.49%
62	2.27%	2.55%	1.95%	2.73%	3.28%	2.31%
61	2.06%	2.32%	1.76%	2.53%	3.04%	2.13%
60	1.92%	2.17%	1.64%	2.37%	2.87%	1.99%
59	1.74%	1.97%	1.47%	2.19%	2.65%	1.85%
58	1.62%	1.83%	1.36%	2.04%	2.48%	1.73%
57	1.49%	1.69%	1.24%	1.91%	2.33%	1.62%
56	1.39%	1.57%	1.16%	1.79%	2.2%	1.53%
55	1.3%	1.47%	1.07%	1.69%	2.09%	1.44%
54	1.21%	1.37%	1%	1.6%	1.97%	1.36%
53	1.13%	1.28%	0.93%	1.52%	1.87%	1.29%
52	1.06%	1.2%	0.87%	1.44%	1.78%	1.23%
51	0.97%	1.1%	0.8%	1.36%	1.68%	1.15%
50	0.92%	1.04%	0.75%	1.3%	1.6%	1.1%
49	0.84%	0.95%	0.69%	1.22%	1.5%	1.03%
48	0.79%	0.89%	0.65%	1.16%	1.41%	0.98%
47	0.73%	0.82%	0.6%	1.09%	1.33%	0.92%
46	0.68%	0.77%	0.56%	1.04%	1.25%	0.87%
45	0.64%	0.72%	0.53%	0.99%	1.19%	0.83%
44	0.6%	0.67%	0.5%	0.93%	1.12%	0.78%
43	0.57%	0.63%	0.48%	0.89%	1.06%	0.75%
42	0.54%	0.6%	0.45%	0.84%	1%	0.71%
41	0.5%	0.56%	0.42%	0.8%	0.95%	0.68%
40	0.48%	0.53%	0.41%	0.76%	0.9%	0.65%
39	0.45%	0.5%	0.38%	0.72%	0.85%	0.62%
38	0.42%	0.47%	0.36%	0.68%	0.8%	0.59%
37	0.4%	0.44%	0.34%	0.64%	0.75%	0.55%
36	0.38%	0.42%	0.32%	0.61%	0.71%	0.53%
35	0.36%	0.4%	0.31%	0.57%	0.66%	0.5%
34	0.34%	0.38%	0.29%	0.54%	0.62%	0.47%
33	0.32%	0.36%	0.27%	0.5%	0.58%	0.44%
32	0.31%	0.35%	0.26%	0.47%	0.54%	0.41%
31	0.29%	0.33%	0.25%	0.44%	0.51%	0.39%
30	0.28%	0.32%	0.24%	0.42%	0.48%	0.37%
29	0.27%	0.31%	0.23%	0.4%	0.45%	0.35%
28	0.26%	0.3%	0.22%	0.37%	0.42%	0.33%
27	0.25%	0.29%	0.21%	0.35%	0.4%	0.31%
26	0.24%	0.28%	0.2%	0.33%	0.37%	0.29%
25	0.24%	0.28%	0.19%	0.31%	0.35%	0.26%
24	0.23%	0.27%	0.18%	0.29%	0.33%	0.25%
23	0.22%	0.27%	0.18%	0.27%	0.31%	0.23%
22	0.22%	0.26%	0.17%	0.25%	0.29%	0.21%
21	0.21%	0.25%	0.16%	0.23%	0.27%	0.19%
20	0.19%	0.23%	0.15%	0.21%	0.25%	0.18%
19	0.18%	0.22%	0.15%	0.19%	0.22%	0.16%
18	0.17%	0.2%	0.14%	0.17%	0.2%	0.15%
17	0.15%	0.18%	0.13%	0.15%	0.17%	0.13%
16	0.14%	0.15%	0.12%	0.13%	0.14%	0.12%
15	0.12%	0.13%	0.11%	0.11%	0.12%	0.1%
14	0.11%	0.12%	0.1%	0.1%	0.1%	0.09%
13	0.1%	0.11%	0.09%	0.08%	0.09%	0.08%
12	0.09%	0.1%	0.09%	0.08%	0.08%	0.07%
11	0.09%	0.1%	0.08%	0.07%	0.08%	0.07%
10	0.1%	0.1%	0.09%	0.07%	0.08%	0.07%
9	0.1%	0.11%	0.09%	0.08%	0.08%	0.07%
8	0.11%	0.12%	0.1%	0.08%	0.09%	0.08%
7	0.13%	0.14%	0.11%	0.09%	0.1%	0.09%
6	0.15%	0.16%	0.13%	0.1%	0.11%	0.1%
5	0.18%	0.19%	0.16%	0.12%	0.13%	0.12%
4	0.23%	0.25%	0.22%	0.16%	0.17%	0.16%
3	0.32%	0.34%	0.3%	0.22%	0.22%	0.22%
2	0.46%	0.49%	0.44%	0.32%	0.32%	0.32%
1	0.76%	0.8%	0.72%	0.5%	0.48%	0.52%
0	4.97%	5.49%	4.45%	3.05%	3.4%	2.7%

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

The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 3.05% in Zimbabwe, 0.28% vs 0.42% at age 30, 1.92% vs 2.37% at 60, and 11% vs 9.89% at 80.

Death rate by age in Equatorial Guinea vs Zimbabwe

Chart Table

Equatorial Guinea

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Equatorial Guinea			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	0	0	0	24.9	0	53
99	68.2	52.5	85.6	105.4	43.2	168.4
98	102.3	78.9	128	147.6	63.5	232.4
97	150.8	116.9	188	205	92.4	318
96	216	168.5	268.1	277.6	131.3	423
95	300	236.2	371	366	181.8	548
94	404	320	496	469	244.7	687
93	529	425	646	588	322	843
92	678	550	822	724	414	1,016
91	841	690	1,012	863	518	1,184
90	1,044	863	1,249	1,040	647	1,401
89	1,240	1,040	1,468	1,196	779	1,570
88	1,461	1,239	1,716	1,372	930	1,762
87	1,682	1,443	1,958	1,540	1,088	1,934
86	1,906	1,654	2,202	1,709	1,253	2,102
85	2,111	1,853	2,419	1,858	1,418	2,232
84	2,311	2,057	2,621	1,999	1,583	2,345
83	2,466	2,220	2,772	2,102	1,730	2,403
82	2,609	2,375	2,904	2,197	1,873	2,450
81	2,685	2,471	2,956	2,235	1,982	2,419
80	2,820	2,614	3,078	2,328	2,113	2,474
79	2,857	2,677	3,081	2,358	2,186	2,465
78	2,908	2,748	3,108	2,416	2,272	2,497
77	2,893	2,762	3,062	2,424	2,321	2,470
76	2,887	2,781	3,032	2,444	2,370	2,468
75	2,854	2,773	2,974	2,448	2,404	2,446
74	2,787	2,735	2,879	2,427	2,414	2,401
73	2,705	2,680	2,769	2,393	2,412	2,346
72	2,622	2,618	2,661	2,356	2,400	2,294
71	2,482	2,500	2,494	2,281	2,352	2,203
70	2,420	2,451	2,412	2,250	2,336	2,164
69	2,271	2,326	2,229	2,166	2,269	2,069
68	2,168	2,237	2,107	2,111	2,224	2,007
67	2,052	2,134	1,968	2,050	2,172	1,938
66	1,942	2,034	1,844	1,993	2,121	1,875
65	1,856	1,957	1,743	1,945	2,075	1,824
64	1,748	1,855	1,624	1,866	2,014	1,726
63	1,647	1,758	1,515	1,790	1,952	1,636
62	1,551	1,664	1,415	1,718	1,890	1,553
61	1,435	1,549	1,296	1,632	1,809	1,463
60	1,370	1,481	1,230	1,571	1,756	1,398
59	1,264	1,375	1,120	1,481	1,664	1,318
58	1,189	1,297	1,047	1,411	1,599	1,257
57	1,112	1,216	971	1,341	1,537	1,197
56	1,054	1,154	915	1,284	1,485	1,146
55	995	1,091	858	1,233	1,440	1,097
54	944	1,036	809	1,184	1,389	1,052
53	890	978	758	1,140	1,342	1,009
52	843	926	717	1,100	1,298	971
51	782	861	660	1,050	1,245	925
50	745	821	629	1,018	1,207	892
49	690	761	580	969	1,146	846
48	648	714	546	929	1,096	806
47	605	667	510	888	1,046	766
46	570	627	482	850	1,000	731
45	542	595	460	816	958	702
44	509	558	434	779	911	669
43	482	527	413	747	871	642
42	461	503	397	717	834	617
41	430	470	371	685	795	592
40	414	452	358	659	766	571
39	388	424	336	627	725	545
38	369	404	320	599	691	522
37	348	382	301	568	655	496
36	331	364	287.2	539	619	473
35	315	347	273	512	586	450
34	298.6	330	259	481	550	423
33	284.9	316	246.7	453	517	400
32	272.6	303	235.5	428	487	379
31	258.6	288.5	222.6	403	458	356
30	251.6	281.1	216.4	385	436	341
29	241	270.6	205.9	363	409	323
28	233.5	263.4	198.5	343	387	303
27	226.2	257	190.2	324	365	286.2
26	220.1	252.2	182.9	304	344	267.1
25	214.4	248.1	175.8	286.4	326	248.2
24	209.3	244.6	169.2	268.5	307	231.1
23	203.3	239.9	162.3	251.5	289	214.4
22	196.5	233.5	155.8	234.1	270.1	198.3
21	187.9	224.3	149	216.1	249.9	182.2
20	178.3	212.5	142.7	200.4	229.9	170.6
19	167.2	197.9	135.3	182.4	209.2	155.3
18	154.8	181.3	127.5	164.9	188.9	140.6
17	139.7	160.6	118.1	143.2	161.3	124.9
16	125.5	141.2	109.3	122.8	135.4	110
15	111	122.7	99	106.1	114.9	97.1
14	100.1	109.7	90.2	90.9	97.8	83.9
13	92	100.1	83.7	80.4	85.9	74.8
12	87.4	94.8	79.8	73.9	79.4	68.4
11	86	93.2	78.5	70.9	76.1	65.5
10	88.2	95.9	80.2	70.4	74.5	66.2
9	93.4	101.8	84.8	72.9	76.9	68.8
8	102.6	111.3	93.6	78.6	83.3	73.8
7	116.8	126.1	107.2	87.5	92.4	82.5
6	136.7	146.4	126.6	98.5	103	94
5	165.2	175.6	154.5	116.6	119.9	113.1
4	216.1	228.6	203.1	153.9	157.9	149.8
3	302	320	283.2	211.7	213.4	209.9
2	438	462	414	308	305	311
1	721	757	684	484	463	505
0	4,972	5,488	4,450	3,053	3,402	2,699

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 Zimbabwe. The median age of death is 71.3 in Equatorial Guinea and 68.8 in Zimbabwe, 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 Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x