Life Expectancy in Gabon vs Kenya (1950-2026)

Life expectancy by current age

Chart Table

Gabon

Male

Female

Kenya

Male

Female

1x

Current age, years	Total life expectancy, years
	Gabon			Kenya
	Average	Male	Female	Average	Male	Female
100	102.1	102	102.2	102.2	102	102.2
99	101.2	101.2	101.3	101.3	101.1	101.4
98	100.3	100.3	100.4	100.4	100.2	100.5
97	99.5	99.4	99.5	99.5	99.4	99.6
96	98.6	98.5	98.7	98.7	98.5	98.8
95	97.8	97.7	97.8	97.8	97.6	97.9
94	96.9	96.8	97	97	96.8	97.1
93	96.1	96	96.1	96.2	95.9	96.3
92	95.3	95.2	95.3	95.4	95.1	95.5
91	94.5	94.3	94.6	94.6	94.3	94.7
90	93.7	93.5	93.8	93.8	93.5	94
89	92.9	92.8	93	93	92.7	93.2
88	92.2	92	92.3	92.3	91.9	92.5
87	91.4	91.2	91.5	91.6	91.1	91.8
86	90.7	90.5	90.8	90.8	90.4	91.1
85	90	89.8	90.1	90.1	89.7	90.4
84	89.3	89.1	89.5	89.5	89	89.7
83	88.6	88.4	88.8	88.8	88.3	89.1
82	88	87.7	88.2	88.2	87.6	88.5
81	87.4	87.1	87.6	87.6	87	87.9
80	86.7	86.4	87	87	86.3	87.4
79	86.2	85.8	86.4	86.4	85.7	86.8
78	85.6	85.2	85.9	85.8	85.1	86.3
77	85	84.6	85.4	85.2	84.5	85.7
76	84.5	84	84.9	84.6	83.9	85.2
75	84	83.5	84.4	84.1	83.3	84.7
74	83.5	82.9	83.9	83.6	82.8	84.2
73	83	82.4	83.5	83	82.2	83.7
72	82.5	81.9	83	82.5	81.6	83.2
71	82	81.4	82.6	82	81.1	82.7
70	81.6	80.9	82.2	81.5	80.5	82.2
69	81.2	80.4	81.8	81	80	81.8
68	80.8	80	81.5	80.5	79.5	81.3
67	80.4	79.5	81.1	80	79	80.9
66	80	79.1	80.8	79.5	78.5	80.5
65	79.6	78.7	80.5	79.1	78	80
64	79.3	78.3	80.2	78.6	77.5	79.6
63	78.9	77.9	79.9	78.2	77	79.2
62	78.6	77.5	79.6	77.8	76.5	78.9
61	78.3	77.2	79.4	77.4	76.1	78.5
60	78	76.8	79.1	77	75.6	78.2
59	77.7	76.5	78.9	76.6	75.2	77.8
58	77.4	76.2	78.7	76.2	74.8	77.5
57	77.1	75.9	78.4	75.8	74.4	77.2
56	76.9	75.6	78.2	75.5	74	76.9
55	76.6	75.3	78	75.1	73.7	76.6
54	76.4	75	77.9	74.8	73.3	76.3
53	76.2	74.7	77.7	74.5	72.9	76
52	75.9	74.5	77.5	74.1	72.6	75.7
51	75.7	74.2	77.3	73.8	72.2	75.4
50	75.5	74	77.2	73.5	71.9	75.1
49	75.3	73.8	77	73.2	71.6	74.9
48	75.2	73.6	76.9	72.9	71.2	74.6
47	75	73.4	76.7	72.6	70.9	74.4
46	74.8	73.2	76.6	72.4	70.6	74.1
45	74.6	73	76.5	72.1	70.3	73.9
44	74.5	72.8	76.3	71.8	70.1	73.6
43	74.3	72.6	76.2	71.6	69.8	73.4
42	74.2	72.4	76.1	71.3	69.5	73.2
41	74.1	72.3	76	71.1	69.2	73
40	73.9	72.1	75.9	70.8	69	72.8
39	73.8	72	75.8	70.6	68.7	72.5
38	73.7	71.8	75.7	70.4	68.5	72.3
37	73.5	71.7	75.6	70.2	68.3	72.1
36	73.4	71.6	75.5	70	68.1	71.9
35	73.3	71.4	75.4	69.8	67.8	71.8
34	73.2	71.3	75.4	69.6	67.6	71.6
33	73.1	71.2	75.3	69.4	67.5	71.4
32	73	71.1	75.2	69.2	67.3	71.2
31	72.9	70.9	75.1	69.1	67.1	71.1
30	72.8	70.8	75.1	68.9	66.9	70.9
29	72.7	70.7	75	68.7	66.7	70.8
28	72.7	70.6	74.9	68.6	66.6	70.6
27	72.6	70.5	74.9	68.4	66.4	70.5
26	72.5	70.4	74.8	68.3	66.3	70.4
25	72.4	70.3	74.7	68.2	66.1	70.3
24	72.3	70.2	74.7	68	66	70.1
23	72.2	70.1	74.6	67.9	65.9	70
22	72.2	70	74.6	67.8	65.8	69.9
21	72.1	69.9	74.5	67.7	65.6	69.8
20	72	69.8	74.5	67.6	65.5	69.8
19	71.9	69.7	74.4	67.5	65.4	69.7
18	71.9	69.7	74.4	67.4	65.3	69.6
17	71.8	69.6	74.3	67.4	65.3	69.5
16	71.8	69.5	74.3	67.3	65.2	69.5
15	71.7	69.5	74.2	67.2	65.1	69.4
14	71.7	69.4	74.2	67.2	65.1	69.4
13	71.6	69.4	74.2	67.1	65	69.3
12	71.6	69.4	74.1	67.1	65	69.3
11	71.6	69.3	74.1	67.1	65	69.3
10	71.5	69.3	74.1	67	64.9	69.2
9	71.5	69.2	74	67	64.9	69.2
8	71.5	69.2	74	66.9	64.8	69.1
7	71.4	69.1	74	66.9	64.8	69.1
6	71.4	69.1	73.9	66.8	64.7	69
5	71.3	69	73.9	66.8	64.7	69
4	71.2	68.9	73.8	66.7	64.6	68.9
3	71.1	68.8	73.7	66.5	64.4	68.7
2	70.9	68.6	73.5	66.3	64.3	68.5
1	70.7	68.3	73.2	66	64	68.2
0	68.9	66.4	71.6	64.2	62	66.5

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 Gabon can expect to live to 72.8 years compared to 68.9 in Kenya, rising to 79.6 and 79.1 at 65, and to 86.7 and 87 at 80 — higher than the 68.9 and 64.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Gabon

Male

Female

Kenya

Male

Female

1x

Age	Survival probability
	Gabon			Kenya
	Average	Male	Female	Average	Male	Female
100	0.34%	0.23%	0.47%	0.32%	0.15%	0.49%
99	0.52%	0.35%	0.71%	0.48%	0.24%	0.72%
98	0.77%	0.52%	1.05%	0.69%	0.36%	1.03%
97	1.1%	0.76%	1.5%	0.99%	0.53%	1.45%
96	1.56%	1.08%	2.1%	1.38%	0.76%	2%
95	2.15%	1.51%	2.88%	1.89%	1.07%	2.69%
94	2.9%	2.07%	3.85%	2.52%	1.48%	3.54%
93	3.83%	2.77%	5.04%	3.29%	1.99%	4.57%
92	4.96%	3.63%	6.46%	4.21%	2.63%	5.77%
91	6.28%	4.66%	8.12%	5.28%	3.39%	7.15%
90	7.85%	5.89%	10.1%	6.54%	4.31%	8.75%
89	9.62%	7.3%	12.2%	7.94%	5.38%	10.5%
88	11.6%	8.92%	14.7%	9.51%	6.6%	12.4%
87	13.8%	10.7%	17.3%	11.2%	7.98%	14.5%
86	16.2%	12.7%	20.2%	13.1%	9.5%	16.7%
85	18.8%	14.9%	23.2%	15%	11.2%	19.1%
84	21.5%	17.2%	26.3%	17.1%	12.9%	21.5%
83	24.3%	19.7%	29.5%	19.2%	14.8%	23.9%
82	27.2%	22.2%	32.8%	21.4%	16.7%	26.3%
81	30%	24.8%	36%	23.5%	18.7%	28.6%
80	32.9%	27.4%	39.2%	25.7%	20.7%	31%
79	35.9%	30.1%	42.4%	27.9%	22.8%	33.3%
78	38.8%	32.8%	45.5%	30.1%	24.9%	35.7%
77	41.6%	35.5%	48.5%	32.4%	27.1%	38%
76	44.4%	38.2%	51.5%	34.6%	29.2%	40.3%
75	47.2%	40.8%	54.3%	36.9%	31.4%	42.6%
74	49.8%	43.5%	57.1%	39.1%	33.6%	44.8%
73	52.4%	46.1%	59.6%	41.3%	35.8%	47%
72	54.9%	48.6%	62.1%	43.4%	37.9%	49.2%
71	57.3%	51%	64.4%	45.5%	40.1%	51.3%
70	59.6%	53.4%	66.6%	47.6%	42.2%	53.3%
69	61.7%	55.7%	68.6%	49.7%	44.4%	55.3%
68	63.8%	57.9%	70.5%	51.7%	46.5%	57.2%
67	65.8%	60%	72.3%	53.7%	48.5%	59.1%
66	67.6%	62.1%	73.9%	55.6%	50.6%	60.9%
65	69.4%	64.1%	75.5%	57.5%	52.7%	62.7%
64	71.1%	66%	77%	59.4%	54.7%	64.4%
63	72.7%	67.7%	78.3%	61.1%	56.6%	66%
62	74.2%	69.4%	79.6%	62.8%	58.5%	67.5%
61	75.6%	71%	80.7%	64.5%	60.3%	68.9%
60	76.9%	72.5%	81.8%	66%	62%	70.3%
59	78.1%	73.9%	82.8%	67.5%	63.7%	71.6%
58	79.2%	75.3%	83.7%	68.9%	65.2%	72.8%
57	80.3%	76.5%	84.6%	70.3%	66.8%	74%
56	81.3%	77.7%	85.3%	71.6%	68.2%	75.1%
55	82.2%	78.8%	86.1%	72.8%	69.7%	76.2%
54	83.1%	79.9%	86.8%	74.1%	71%	77.2%
53	84%	80.9%	87.5%	75.2%	72.4%	78.2%
52	84.8%	81.8%	88.1%	76.4%	73.6%	79.2%
51	85.5%	82.7%	88.6%	77.4%	74.9%	80.1%
50	86.2%	83.5%	89.2%	78.5%	76.1%	81%
49	86.8%	84.3%	89.7%	79.5%	77.2%	81.9%
48	87.5%	85%	90.1%	80.4%	78.3%	82.7%
47	88%	85.7%	90.6%	81.4%	79.3%	83.5%
46	88.5%	86.3%	91%	82.2%	80.3%	84.2%
45	89%	86.9%	91.3%	83.1%	81.2%	84.9%
44	89.5%	87.5%	91.7%	83.9%	82.1%	85.6%
43	89.9%	88%	92%	84.6%	83%	86.2%
42	90.4%	88.5%	92.3%	85.3%	83.8%	86.9%
41	90.7%	89%	92.6%	86%	84.6%	87.5%
40	91.1%	89.4%	92.9%	86.7%	85.4%	88.1%
39	91.4%	89.8%	93.1%	87.4%	86.1%	88.6%
38	91.8%	90.2%	93.4%	88%	86.8%	89.1%
37	92.1%	90.6%	93.6%	88.5%	87.4%	89.7%
36	92.4%	90.9%	93.8%	89.1%	88%	90.1%
35	92.6%	91.3%	94%	89.6%	88.6%	90.6%
34	92.9%	91.6%	94.2%	90.1%	89.2%	91%
33	93.1%	91.9%	94.4%	90.6%	89.7%	91.5%
32	93.3%	92.2%	94.6%	91%	90.1%	91.9%
31	93.6%	92.4%	94.7%	91.4%	90.6%	92.2%
30	93.8%	92.7%	94.9%	91.8%	91%	92.6%
29	94%	92.9%	95%	92.2%	91.4%	92.9%
28	94.1%	93.2%	95.1%	92.5%	91.8%	93.2%
27	94.3%	93.4%	95.3%	92.8%	92.2%	93.5%
26	94.5%	93.6%	95.4%	93.1%	92.5%	93.8%
25	94.7%	93.8%	95.5%	93.4%	92.8%	94%
24	94.8%	94%	95.6%	93.7%	93.1%	94.3%
23	95%	94.2%	95.7%	94%	93.4%	94.5%
22	95.1%	94.4%	95.8%	94.2%	93.7%	94.7%
21	95.3%	94.6%	95.9%	94.4%	93.9%	94.9%
20	95.4%	94.8%	96%	94.6%	94.2%	95%
19	95.5%	94.9%	96.1%	94.8%	94.4%	95.2%
18	95.6%	95.1%	96.2%	94.9%	94.6%	95.3%
17	95.7%	95.2%	96.3%	95.1%	94.7%	95.5%
16	95.8%	95.3%	96.3%	95.2%	94.8%	95.6%
15	95.9%	95.4%	96.4%	95.3%	95%	95.7%
14	96%	95.5%	96.5%	95.4%	95%	95.7%
13	96%	95.6%	96.5%	95.5%	95.1%	95.8%
12	96.1%	95.6%	96.6%	95.5%	95.2%	95.9%
11	96.1%	95.7%	96.6%	95.6%	95.3%	95.9%
10	96.2%	95.8%	96.6%	95.7%	95.3%	96%
9	96.3%	95.8%	96.7%	95.7%	95.4%	96.1%
8	96.3%	95.9%	96.7%	95.8%	95.5%	96.1%
7	96.4%	96%	96.8%	95.9%	95.6%	96.2%
6	96.5%	96.1%	96.9%	96%	95.7%	96.3%
5	96.6%	96.2%	97%	96.1%	95.8%	96.4%
4	96.7%	96.3%	97.1%	96.2%	95.9%	96.5%
3	96.8%	96.5%	97.2%	96.4%	96.1%	96.7%
2	97.1%	96.7%	97.4%	96.7%	96.4%	97%
1	97.5%	97.1%	97.8%	97.2%	96.8%	97.5%

This chart shows the odds of living to each age from birth. 76.9% of newborns in Gabon and 66% in Kenya are expected to live past 60, 59.6% and 47.6% past 70, 32.9% and 25.7% past 80, and only 7.85% and 6.54% past 90.

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

Odds of dying at each age

Chart Table

Gabon

Male

Female

Kenya

Male

Female

1x

Age	Probability of dying
	Gabon			Kenya
	Average	Male	Female	Average	Male	Female
100	35.5%	36.1%	35.2%	34.7%	36.8%	33.8%
99	34.1%	34.7%	33.7%	33.2%	35.4%	32.3%
98	32.2%	32.9%	31.8%	31.3%	33.6%	30.4%
97	30.7%	31.5%	30.2%	29.9%	32.1%	28.9%
96	29.1%	30%	28.7%	28.3%	30.6%	27.4%
95	27.5%	28.4%	27%	26.7%	29.1%	25.8%
94	25.9%	26.9%	25.3%	25.1%	27.5%	24%
93	24.2%	25.3%	23.6%	23.4%	25.8%	22.4%
92	22.7%	23.7%	22.1%	21.9%	24.3%	20.9%
91	21.1%	22.1%	20.4%	20.3%	22.6%	19.3%
90	19.9%	20.9%	19.3%	19.2%	21.3%	18.3%
89	18.4%	19.4%	17.7%	17.7%	19.8%	16.7%
88	17.2%	18.1%	16.5%	16.5%	18.5%	15.5%
87	15.9%	16.9%	15.3%	15.3%	17.2%	14.3%
86	14.8%	15.7%	14.2%	14.2%	16%	13.3%
85	13.6%	14.5%	13%	13%	14.8%	12.2%
84	12.6%	13.5%	11.9%	12%	13.7%	11.1%
83	11.5%	12.4%	10.9%	11%	12.6%	10.1%
82	10.6%	11.4%	9.92%	10.1%	11.6%	9.19%
81	9.55%	10.4%	8.9%	9.13%	10.5%	8.19%
80	8.89%	9.66%	8.28%	8.53%	9.8%	7.62%
79	8.1%	8.88%	7.47%	7.9%	9.07%	7.01%
78	7.5%	8.26%	6.88%	7.44%	8.49%	6.6%
77	6.85%	7.6%	6.23%	6.92%	7.88%	6.11%
76	6.33%	7.06%	5.73%	6.48%	7.39%	5.74%
75	5.84%	6.55%	5.24%	6.05%	6.94%	5.37%
74	5.36%	6.06%	4.77%	5.66%	6.5%	5.01%
73	4.92%	5.61%	4.34%	5.3%	6.1%	4.68%
72	4.54%	5.2%	3.97%	4.99%	5.75%	4.38%
71	4.12%	4.76%	3.54%	4.64%	5.36%	4.06%
70	3.85%	4.47%	3.3%	4.41%	5.1%	3.84%
69	3.49%	4.1%	2.94%	4.11%	4.77%	3.57%
68	3.24%	3.82%	2.7%	3.89%	4.52%	3.36%
67	2.98%	3.54%	2.45%	3.68%	4.29%	3.16%
66	2.76%	3.3%	2.24%	3.5%	4.08%	2.98%
65	2.58%	3.1%	2.08%	3.34%	3.91%	2.83%
64	2.37%	2.86%	1.89%	3.11%	3.65%	2.61%
63	2.18%	2.64%	1.73%	2.9%	3.42%	2.42%
62	2.01%	2.44%	1.58%	2.7%	3.2%	2.25%
61	1.83%	2.23%	1.42%	2.51%	2.97%	2.08%
60	1.71%	2.08%	1.33%	2.36%	2.81%	1.94%
59	1.55%	1.9%	1.19%	2.19%	2.59%	1.81%
58	1.44%	1.76%	1.1%	2.05%	2.43%	1.7%
57	1.33%	1.63%	1.01%	1.93%	2.28%	1.59%
56	1.24%	1.52%	0.94%	1.83%	2.15%	1.51%
55	1.15%	1.42%	0.87%	1.73%	2.05%	1.42%
54	1.07%	1.32%	0.81%	1.64%	1.93%	1.35%
53	1%	1.23%	0.75%	1.56%	1.83%	1.28%
52	0.94%	1.15%	0.7%	1.48%	1.74%	1.22%
51	0.86%	1.06%	0.64%	1.4%	1.64%	1.15%
50	0.81%	1%	0.6%	1.34%	1.57%	1.1%
49	0.74%	0.92%	0.55%	1.25%	1.47%	1.04%
48	0.69%	0.85%	0.51%	1.19%	1.38%	0.98%
47	0.64%	0.79%	0.47%	1.12%	1.3%	0.93%
46	0.59%	0.73%	0.44%	1.06%	1.23%	0.88%
45	0.56%	0.69%	0.41%	1%	1.17%	0.84%
44	0.52%	0.64%	0.38%	0.95%	1.1%	0.79%
43	0.49%	0.6%	0.36%	0.9%	1.04%	0.76%
42	0.46%	0.56%	0.34%	0.86%	0.98%	0.72%
41	0.42%	0.52%	0.31%	0.81%	0.93%	0.69%
40	0.4%	0.5%	0.3%	0.78%	0.89%	0.66%
39	0.37%	0.46%	0.27%	0.73%	0.83%	0.63%
38	0.35%	0.44%	0.26%	0.69%	0.79%	0.6%
37	0.33%	0.41%	0.24%	0.65%	0.74%	0.57%
36	0.31%	0.38%	0.23%	0.62%	0.69%	0.54%
35	0.29%	0.36%	0.21%	0.58%	0.65%	0.51%
34	0.27%	0.34%	0.2%	0.54%	0.61%	0.48%
33	0.26%	0.32%	0.19%	0.51%	0.57%	0.45%
32	0.24%	0.31%	0.18%	0.48%	0.53%	0.43%
31	0.23%	0.29%	0.16%	0.45%	0.5%	0.4%
30	0.22%	0.28%	0.16%	0.42%	0.47%	0.38%
29	0.21%	0.26%	0.15%	0.4%	0.44%	0.36%
28	0.2%	0.25%	0.14%	0.37%	0.42%	0.33%
27	0.19%	0.24%	0.14%	0.35%	0.39%	0.31%
26	0.18%	0.23%	0.13%	0.33%	0.37%	0.29%
25	0.18%	0.23%	0.12%	0.31%	0.35%	0.27%
24	0.17%	0.22%	0.12%	0.29%	0.32%	0.25%
23	0.16%	0.21%	0.11%	0.27%	0.31%	0.23%
22	0.16%	0.2%	0.11%	0.25%	0.28%	0.21%
21	0.15%	0.19%	0.1%	0.23%	0.26%	0.19%
20	0.14%	0.18%	0.1%	0.21%	0.24%	0.18%
19	0.13%	0.17%	0.09%	0.19%	0.22%	0.16%
18	0.12%	0.15%	0.09%	0.17%	0.2%	0.15%
17	0.11%	0.13%	0.08%	0.15%	0.17%	0.13%
16	0.09%	0.11%	0.07%	0.13%	0.14%	0.11%
15	0.08%	0.1%	0.06%	0.11%	0.12%	0.1%
14	0.07%	0.08%	0.06%	0.09%	0.1%	0.08%
13	0.06%	0.07%	0.05%	0.08%	0.09%	0.08%
12	0.06%	0.07%	0.05%	0.07%	0.08%	0.07%
11	0.06%	0.07%	0.05%	0.07%	0.08%	0.07%
10	0.06%	0.07%	0.05%	0.07%	0.07%	0.07%
9	0.06%	0.07%	0.05%	0.07%	0.08%	0.07%
8	0.06%	0.07%	0.06%	0.08%	0.08%	0.07%
7	0.07%	0.08%	0.06%	0.09%	0.09%	0.08%
6	0.08%	0.09%	0.07%	0.1%	0.1%	0.09%
5	0.1%	0.11%	0.09%	0.11%	0.12%	0.11%
4	0.13%	0.14%	0.12%	0.15%	0.15%	0.15%
3	0.17%	0.19%	0.16%	0.21%	0.21%	0.2%
2	0.25%	0.27%	0.23%	0.3%	0.29%	0.3%
1	0.4%	0.42%	0.37%	0.47%	0.44%	0.49%
0	2.52%	2.86%	2.18%	2.82%	3.15%	2.48%

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

The annual chance of dying is 2.52% in the birth year in Gabon and 2.82% in Kenya, 0.22% vs 0.42% at age 30, 1.71% vs 2.36% at 60, and 8.89% vs 8.53% at 80.

Death rate by age in Gabon vs Kenya

Chart Table

Gabon

Male

Female

Kenya

Male

Female

1x

Age	Death rate
	Gabon			Kenya
	Total	Male	Female	Total	Male	Female
100	50	25.2	77.9	53.6	13.4	94.3
99	176.9	120.7	240.4	158.4	84	232.3
98	246.3	170.7	332	217.5	120.1	313
97	339	238.3	453	295.7	169.3	419
96	454	324	602	392	232.6	547
95	593	430	777	505	311	693
94	750	555	972	631	405	851
93	929	699	1,189	771	514	1,023
92	1,126	861	1,426	923	638	1,207
91	1,324	1,031	1,657	1,072	767	1,378
90	1,565	1,228	1,945	1,255	920	1,598
89	1,772	1,417	2,172	1,403	1,066	1,756
88	1,996	1,618	2,422	1,565	1,223	1,933
87	2,203	1,813	2,644	1,711	1,375	2,084
86	2,402	2,001	2,855	1,852	1,523	2,224
85	2,562	2,164	3,011	1,959	1,651	2,316
84	2,707	2,321	3,143	2,058	1,776	2,391
83	2,796	2,433	3,206	2,113	1,864	2,409
82	2,869	2,531	3,250	2,159	1,941	2,415
81	2,867	2,571	3,199	2,146	1,973	2,345
80	2,928	2,646	3,246	2,192	2,033	2,362
79	2,902	2,670	3,164	2,204	2,068	2,335
78	2,906	2,706	3,132	2,244	2,116	2,353
77	2,849	2,696	3,023	2,240	2,132	2,320
76	2,813	2,696	2,948	2,243	2,160	2,313
75	2,753	2,676	2,848	2,230	2,178	2,289
74	2,673	2,636	2,721	2,212	2,183	2,248
73	2,582	2,584	2,586	2,188	2,182	2,200
72	2,495	2,529	2,463	2,166	2,180	2,156
71	2,358	2,431	2,281	2,112	2,148	2,080
70	2,295	2,386	2,198	2,099	2,153	2,048
69	2,157	2,285	2,016	2,043	2,116	1,972
68	2,066	2,212	1,903	2,012	2,102	1,922
67	1,961	2,128	1,773	1,976	2,083	1,867
66	1,865	2,047	1,658	1,944	2,067	1,816
65	1,791	1,985	1,570	1,921	2,060	1,776
64	1,684	1,884	1,455	1,844	1,998	1,682
63	1,585	1,788	1,352	1,770	1,935	1,595
62	1,492	1,695	1,258	1,699	1,873	1,515
61	1,381	1,584	1,146	1,618	1,792	1,432
60	1,315	1,512	1,086	1,560	1,739	1,366
59	1,212	1,406	985	1,477	1,648	1,294
58	1,139	1,326	920	1,416	1,584	1,236
57	1,064	1,246	851	1,358	1,522	1,180
56	1,005	1,179	799	1,307	1,469	1,132
55	946	1,115	746	1,262	1,425	1,085
54	894	1,056	701	1,215	1,373	1,042
53	841	996	655	1,171	1,326	1,002
52	794	942	618	1,132	1,283	967
51	736	878	566	1,084	1,231	924
50	700	835	539	1,049	1,193	892
49	647	774	494	997	1,133	850
48	604	725	461	954	1,084	811
47	563	677	426	910	1,034	774
46	527	634	398	869	988	739
45	497	599	376	834	947	710
44	464	559	351	794	900	679
43	436	527	330	761	861	653
42	413	499	313	730	824	628
41	384	466	288.7	699	786	605
40	366	444	275.8	673	757	584
39	342	416	256	639	716	559
38	322	393	241.3	610	682	536
37	302	370	224.5	580	647	511
36	284.7	349	212	549	611	487
35	268.9	331	199.6	521	578	464
34	252.7	312	186.9	489	543	436
33	238.7	295.8	176.3	461	510	412
32	226.3	281.5	166.8	435	481	391
31	212.9	266.2	156	409	452	367
30	205.2	256.8	150.6	390	431	351
29	194.7	244.8	142.2	367	404	332
28	186.5	235.5	135.6	346	382	311
27	178.9	227.1	129.1	326	361	293.5
26	172.1	219.7	123	306	340	273.1
25	166.1	213.6	117.4	287	322	252.9
24	160.6	207.4	112.6	268.3	303	234.5
23	154.8	201.1	107.5	250.7	285.1	216.8
22	148.6	193.5	102.6	232.9	266.5	199.6
21	141.6	184.3	98	214.5	246.6	182.5
20	134.1	173.6	93.9	198.6	226.6	170.5
19	125.2	161.1	88.7	180.2	205.8	154.3
18	115.2	146.9	82.9	162.4	185.4	139
17	101.7	126.8	76.2	140.3	157.5	122.8
16	89	108.3	69.4	119.7	131.5	107.6
15	76.8	91.4	61.9	102.9	111	94.6
14	67.1	78.9	55.1	87.5	93.7	81.2
13	60.2	69.8	50.3	76.9	81.8	72
12	56	64.8	47.1	70.4	75.3	65.4
11	54.2	62.5	45.8	67.3	72.1	62.5
10	54.5	62.4	46.4	66.7	70.3	63.1
9	56.9	65	48.7	69	72.4	65.5
8	61.9	70.2	53.3	74.2	78.3	70.1
7	69.5	78.2	60.7	82.4	86.7	78.1
6	79.6	88.2	70.8	92.5	96.3	88.6
5	94.7	103.4	85.8	109.2	111.8	106.5
4	122.6	133.2	111.7	144	146.8	141.1
3	167.3	181.2	153.2	197.9	197.7	198
2	240.3	257.8	222.4	288.3	281.8	294.8
1	388	410	366	454	428	480
0	2,523	2,857	2,184	2,818	3,154	2,478

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 Gabon, the most common age of death is 80, compared to 0 in Kenya. The median age of death is 73.9 in Gabon and 68.8 in Kenya, 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 Gabon and Kenya more than their death rates.

Life expectancy in other countries

+ -

1x