Life Expectancy in France vs Kenya (1950-2026)

Life expectancy by current age

Chart Table

France

Male

Female

Kenya

Male

Female

1x

Current age, years	Total life expectancy, years
	France			Kenya
	Average	Male	Female	Average	Male	Female
100	102.2	102	102.3	102.2	102	102.2
99	101.4	101.1	101.4	101.3	101.1	101.4
98	100.6	100.3	100.7	100.4	100.2	100.5
97	99.8	99.5	99.9	99.5	99.4	99.6
96	99	98.7	99.2	98.7	98.5	98.8
95	98.3	97.9	98.4	97.8	97.6	97.9
94	97.6	97.1	97.8	97	96.8	97.1
93	96.9	96.4	97.1	96.2	95.9	96.3
92	96.3	95.7	96.5	95.4	95.1	95.5
91	95.6	95	95.9	94.6	94.3	94.7
90	95	94.4	95.4	93.8	93.5	94
89	94.5	93.8	94.8	93	92.7	93.2
88	93.9	93.2	94.3	92.3	91.9	92.5
87	93.4	92.6	93.9	91.6	91.1	91.8
86	93	92.1	93.5	90.8	90.4	91.1
85	92.5	91.6	93.1	90.1	89.7	90.4
84	92.1	91.1	92.7	89.5	89	89.7
83	91.7	90.7	92.4	88.8	88.3	89.1
82	91.4	90.3	92.1	88.2	87.6	88.5
81	91	89.9	91.8	87.6	87	87.9
80	90.7	89.5	91.6	87	86.3	87.4
79	90.4	89.2	91.3	86.4	85.7	86.8
78	90.1	88.9	91.1	85.8	85.1	86.3
77	89.9	88.5	90.9	85.2	84.5	85.7
76	89.6	88.2	90.7	84.6	83.9	85.2
75	89.4	87.9	90.5	84.1	83.3	84.7
74	89.1	87.7	90.3	83.6	82.8	84.2
73	88.9	87.4	90.2	83	82.2	83.7
72	88.7	87.1	90	82.5	81.6	83.2
71	88.5	86.8	89.9	82	81.1	82.7
70	88.3	86.6	89.7	81.5	80.5	82.2
69	88.1	86.3	89.6	81	80	81.8
68	87.9	86.1	89.4	80.5	79.5	81.3
67	87.7	85.8	89.3	80	79	80.9
66	87.5	85.6	89.2	79.5	78.5	80.5
65	87.3	85.4	89	79.1	78	80
64	87.1	85.1	88.9	78.6	77.5	79.6
63	87	84.9	88.8	78.2	77	79.2
62	86.8	84.7	88.7	77.8	76.5	78.9
61	86.6	84.5	88.5	77.4	76.1	78.5
60	86.4	84.2	88.4	77	75.6	78.2
59	86.3	84.1	88.3	76.6	75.2	77.8
58	86.1	83.9	88.2	76.2	74.8	77.5
57	86	83.7	88.1	75.8	74.4	77.2
56	85.9	83.5	88	75.5	74	76.9
55	85.8	83.4	87.9	75.1	73.7	76.6
54	85.6	83.2	87.9	74.8	73.3	76.3
53	85.5	83.1	87.8	74.5	72.9	76
52	85.4	83	87.7	74.1	72.6	75.7
51	85.3	82.9	87.6	73.8	72.2	75.4
50	85.3	82.8	87.6	73.5	71.9	75.1
49	85.2	82.7	87.5	73.2	71.6	74.9
48	85.1	82.6	87.4	72.9	71.2	74.6
47	85	82.5	87.4	72.6	70.9	74.4
46	85	82.4	87.3	72.4	70.6	74.1
45	84.9	82.3	87.3	72.1	70.3	73.9
44	84.8	82.3	87.2	71.8	70.1	73.6
43	84.8	82.2	87.2	71.6	69.8	73.4
42	84.7	82.1	87.2	71.3	69.5	73.2
41	84.7	82.1	87.1	71.1	69.2	73
40	84.6	82	87.1	70.8	69	72.8
39	84.6	82	87.1	70.6	68.7	72.5
38	84.6	81.9	87.1	70.4	68.5	72.3
37	84.5	81.9	87	70.2	68.3	72.1
36	84.5	81.8	87	70	68.1	71.9
35	84.5	81.8	87	69.8	67.8	71.8
34	84.4	81.8	87	69.6	67.6	71.6
33	84.4	81.7	87	69.4	67.5	71.4
32	84.4	81.7	86.9	69.2	67.3	71.2
31	84.4	81.7	86.9	69.1	67.1	71.1
30	84.3	81.6	86.9	68.9	66.9	70.9
29	84.3	81.6	86.9	68.7	66.7	70.8
28	84.3	81.6	86.9	68.6	66.6	70.6
27	84.3	81.5	86.9	68.4	66.4	70.5
26	84.2	81.5	86.9	68.3	66.3	70.4
25	84.2	81.5	86.9	68.2	66.1	70.3
24	84.2	81.4	86.8	68	66	70.1
23	84.2	81.4	86.8	67.9	65.9	70
22	84.2	81.4	86.8	67.8	65.8	69.9
21	84.1	81.3	86.8	67.7	65.6	69.8
20	84.1	81.3	86.8	67.6	65.5	69.8
19	84.1	81.3	86.8	67.5	65.4	69.7
18	84.1	81.3	86.8	67.4	65.3	69.6
17	84.1	81.3	86.8	67.4	65.3	69.5
16	84.1	81.2	86.8	67.3	65.2	69.5
15	84.1	81.2	86.8	67.2	65.1	69.4
14	84	81.2	86.7	67.2	65.1	69.4
13	84	81.2	86.7	67.1	65	69.3
12	84	81.2	86.7	67.1	65	69.3
11	84	81.2	86.7	67.1	65	69.3
10	84	81.2	86.7	67	64.9	69.2
9	84	81.2	86.7	67	64.9	69.2
8	84	81.2	86.7	66.9	64.8	69.1
7	84	81.2	86.7	66.9	64.8	69.1
6	84	81.2	86.7	66.8	64.7	69
5	84	81.2	86.7	66.8	64.7	69
4	84	81.2	86.7	66.7	64.6	68.9
3	84	81.2	86.7	66.5	64.4	68.7
2	84	81.2	86.7	66.3	64.3	68.5
1	84	81.1	86.7	66	64	68.2
0	83.7	80.9	86.4	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 France can expect to live to 84.3 years compared to 68.9 in Kenya, rising to 87.3 and 79.1 at 65, and to 90.7 and 87 at 80 — higher than the 83.7 and 64.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

France

Male

Female

Kenya

Male

Female

1x

Age	Survival probability
	France			Kenya
	Average	Male	Female	Average	Male	Female
100	3.93%	1.85%	5.69%	0.32%	0.15%	0.49%
99	5.65%	2.82%	8.07%	0.48%	0.24%	0.72%
98	7.83%	4.15%	11%	0.69%	0.36%	1.03%
97	10.5%	5.88%	14.5%	0.99%	0.53%	1.45%
96	13.6%	8.06%	18.6%	1.38%	0.76%	2%
95	17.2%	10.7%	23.1%	1.89%	1.07%	2.69%
94	21.1%	13.7%	27.9%	2.52%	1.48%	3.54%
93	25.3%	17.2%	32.8%	3.29%	1.99%	4.57%
92	29.7%	21%	37.9%	4.21%	2.63%	5.77%
91	34.2%	25%	42.9%	5.28%	3.39%	7.15%
90	38.8%	29.1%	47.9%	6.54%	4.31%	8.75%
89	43.2%	33.3%	52.6%	7.94%	5.38%	10.5%
88	47.5%	37.6%	57%	9.51%	6.6%	12.4%
87	51.5%	41.6%	61%	11.2%	7.98%	14.5%
86	55.3%	45.5%	64.7%	13.1%	9.5%	16.7%
85	58.8%	49.2%	68%	15%	11.2%	19.1%
84	61.9%	52.7%	70.9%	17.1%	12.9%	21.5%
83	64.8%	55.8%	73.5%	19.2%	14.8%	23.9%
82	67.4%	58.7%	75.8%	21.4%	16.7%	26.3%
81	69.7%	61.4%	77.8%	23.5%	18.7%	28.6%
80	71.9%	63.9%	79.6%	25.7%	20.7%	31%
79	73.8%	66.2%	81.2%	27.9%	22.8%	33.3%
78	75.6%	68.3%	82.7%	30.1%	24.9%	35.7%
77	77.2%	70.3%	84%	32.4%	27.1%	38%
76	78.7%	72.1%	85.1%	34.6%	29.2%	40.3%
75	80.1%	73.8%	86.2%	36.9%	31.4%	42.6%
74	81.4%	75.4%	87.2%	39.1%	33.6%	44.8%
73	82.6%	77%	88%	41.3%	35.8%	47%
72	83.7%	78.4%	88.9%	43.4%	37.9%	49.2%
71	84.7%	79.7%	89.6%	45.5%	40.1%	51.3%
70	85.7%	81%	90.3%	47.6%	42.2%	53.3%
69	86.6%	82.3%	91%	49.7%	44.4%	55.3%
68	87.5%	83.4%	91.6%	51.7%	46.5%	57.2%
67	88.4%	84.5%	92.1%	53.7%	48.5%	59.1%
66	89.2%	85.6%	92.7%	55.6%	50.6%	60.9%
65	89.9%	86.6%	93.2%	57.5%	52.7%	62.7%
64	90.6%	87.6%	93.6%	59.4%	54.7%	64.4%
63	91.3%	88.5%	94.1%	61.1%	56.6%	66%
62	92%	89.4%	94.5%	62.8%	58.5%	67.5%
61	92.6%	90.3%	94.9%	64.5%	60.3%	68.9%
60	93.2%	91.1%	95.3%	66%	62%	70.3%
59	93.7%	91.8%	95.7%	67.5%	63.7%	71.6%
58	94.2%	92.4%	96%	68.9%	65.2%	72.8%
57	94.7%	93%	96.3%	70.3%	66.8%	74%
56	95.1%	93.6%	96.6%	71.6%	68.2%	75.1%
55	95.5%	94.1%	96.9%	72.8%	69.7%	76.2%
54	95.8%	94.6%	97.1%	74.1%	71%	77.2%
53	96.2%	95%	97.3%	75.2%	72.4%	78.2%
52	96.5%	95.4%	97.5%	76.4%	73.6%	79.2%
51	96.7%	95.7%	97.7%	77.4%	74.9%	80.1%
50	97%	96%	97.9%	78.5%	76.1%	81%
49	97.2%	96.3%	98.1%	79.5%	77.2%	81.9%
48	97.4%	96.6%	98.2%	80.4%	78.3%	82.7%
47	97.6%	96.8%	98.4%	81.4%	79.3%	83.5%
46	97.8%	97%	98.5%	82.2%	80.3%	84.2%
45	97.9%	97.2%	98.6%	83.1%	81.2%	84.9%
44	98.1%	97.4%	98.7%	83.9%	82.1%	85.6%
43	98.2%	97.6%	98.8%	84.6%	83%	86.2%
42	98.3%	97.7%	98.8%	85.3%	83.8%	86.9%
41	98.4%	97.9%	98.9%	86%	84.6%	87.5%
40	98.5%	98%	99%	86.7%	85.4%	88.1%
39	98.6%	98.1%	99%	87.4%	86.1%	88.6%
38	98.6%	98.2%	99.1%	88%	86.8%	89.1%
37	98.7%	98.3%	99.1%	88.5%	87.4%	89.7%
36	98.8%	98.4%	99.2%	89.1%	88%	90.1%
35	98.8%	98.5%	99.2%	89.6%	88.6%	90.6%
34	98.9%	98.6%	99.2%	90.1%	89.2%	91%
33	99%	98.7%	99.3%	90.6%	89.7%	91.5%
32	99%	98.7%	99.3%	91%	90.1%	91.9%
31	99.1%	98.8%	99.3%	91.4%	90.6%	92.2%
30	99.1%	98.9%	99.4%	91.8%	91%	92.6%
29	99.1%	98.9%	99.4%	92.2%	91.4%	92.9%
28	99.2%	99%	99.4%	92.5%	91.8%	93.2%
27	99.2%	99%	99.4%	92.8%	92.2%	93.5%
26	99.3%	99.1%	99.4%	93.1%	92.5%	93.8%
25	99.3%	99.2%	99.5%	93.4%	92.8%	94%
24	99.3%	99.2%	99.5%	93.7%	93.1%	94.3%
23	99.4%	99.3%	99.5%	94%	93.4%	94.5%
22	99.4%	99.3%	99.5%	94.2%	93.7%	94.7%
21	99.4%	99.4%	99.5%	94.4%	93.9%	94.9%
20	99.5%	99.4%	99.6%	94.6%	94.2%	95%
19	99.5%	99.4%	99.6%	94.8%	94.4%	95.2%
18	99.5%	99.5%	99.6%	94.9%	94.6%	95.3%
17	99.5%	99.5%	99.6%	95.1%	94.7%	95.5%
16	99.6%	99.5%	99.6%	95.2%	94.8%	95.6%
15	99.6%	99.5%	99.6%	95.3%	95%	95.7%
14	99.6%	99.5%	99.6%	95.4%	95%	95.7%
13	99.6%	99.6%	99.6%	95.5%	95.1%	95.8%
12	99.6%	99.6%	99.6%	95.5%	95.2%	95.9%
11	99.6%	99.6%	99.6%	95.6%	95.3%	95.9%
10	99.6%	99.6%	99.6%	95.7%	95.3%	96%
9	99.6%	99.6%	99.7%	95.7%	95.4%	96.1%
8	99.6%	99.6%	99.7%	95.8%	95.5%	96.1%
7	99.6%	99.6%	99.7%	95.9%	95.6%	96.2%
6	99.6%	99.6%	99.7%	96%	95.7%	96.3%
5	99.6%	99.6%	99.7%	96.1%	95.8%	96.4%
4	99.6%	99.6%	99.7%	96.2%	95.9%	96.5%
3	99.7%	99.6%	99.7%	96.4%	96.1%	96.7%
2	99.7%	99.6%	99.7%	96.7%	96.4%	97%
1	99.7%	99.7%	99.7%	97.2%	96.8%	97.5%

This chart shows the odds of living to each age from birth. 93.2% of newborns in France and 66% in Kenya are expected to live past 60, 85.7% and 47.6% past 70, 71.9% and 25.7% past 80, and only 38.8% 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

France

Male

Female

Kenya

Male

Female

1x

Age	Probability of dying
	France			Kenya
	Average	Male	Female	Average	Male	Female
100	32.7%	37%	31.9%	34.7%	36.8%	33.8%
99	30.4%	34.5%	29.5%	33.2%	35.4%	32.3%
98	27.9%	32%	26.8%	31.3%	33.6%	30.4%
97	25.4%	29.5%	24.2%	29.9%	32.1%	28.9%
96	23%	27%	21.8%	28.3%	30.6%	27.4%
95	20.7%	24.5%	19.4%	26.7%	29.1%	25.8%
94	18.6%	22.3%	17.2%	25.1%	27.5%	24%
93	16.6%	20.1%	15.2%	23.4%	25.8%	22.4%
92	14.8%	18%	13.4%	21.9%	24.3%	20.9%
91	13.2%	16%	11.8%	20.3%	22.6%	19.3%
90	11.7%	14.3%	10.3%	19.2%	21.3%	18.3%
89	10.3%	12.6%	8.95%	17.7%	19.8%	16.7%
88	9.02%	11.2%	7.73%	16.5%	18.5%	15.5%
87	7.87%	9.83%	6.64%	15.3%	17.2%	14.3%
86	6.82%	8.56%	5.67%	14.2%	16%	13.3%
85	5.91%	7.47%	4.84%	13%	14.8%	12.2%
84	5.11%	6.52%	4.12%	12%	13.7%	11.1%
83	4.42%	5.67%	3.52%	11%	12.6%	10.1%
82	3.84%	4.95%	3.03%	10.1%	11.6%	9.19%
81	3.37%	4.37%	2.62%	9.13%	10.5%	8.19%
80	2.98%	3.89%	2.27%	8.53%	9.8%	7.62%
79	2.64%	3.48%	1.98%	7.9%	9.07%	7.01%
78	2.35%	3.12%	1.73%	7.44%	8.49%	6.6%
77	2.1%	2.8%	1.53%	6.92%	7.88%	6.11%
76	1.89%	2.53%	1.37%	6.48%	7.39%	5.74%
75	1.72%	2.32%	1.23%	6.05%	6.94%	5.37%
74	1.57%	2.13%	1.11%	5.66%	6.5%	5.01%
73	1.44%	1.96%	1.01%	5.3%	6.1%	4.68%
72	1.34%	1.82%	0.92%	4.99%	5.75%	4.38%
71	1.24%	1.7%	0.85%	4.64%	5.36%	4.06%
70	1.15%	1.59%	0.77%	4.41%	5.1%	3.84%
69	1.07%	1.49%	0.71%	4.11%	4.77%	3.57%
68	1%	1.39%	0.65%	3.89%	4.52%	3.36%
67	0.94%	1.31%	0.61%	3.68%	4.29%	3.16%
66	0.9%	1.25%	0.58%	3.5%	4.08%	2.98%
65	0.85%	1.19%	0.55%	3.34%	3.91%	2.83%
64	0.8%	1.12%	0.51%	3.11%	3.65%	2.61%
63	0.76%	1.06%	0.48%	2.9%	3.42%	2.42%
62	0.72%	1%	0.45%	2.7%	3.2%	2.25%
61	0.67%	0.93%	0.43%	2.51%	2.97%	2.08%
60	0.62%	0.85%	0.4%	2.36%	2.81%	1.94%
59	0.57%	0.78%	0.37%	2.19%	2.59%	1.81%
58	0.52%	0.71%	0.35%	2.05%	2.43%	1.7%
57	0.48%	0.65%	0.32%	1.93%	2.28%	1.59%
56	0.44%	0.6%	0.3%	1.83%	2.15%	1.51%
55	0.4%	0.54%	0.27%	1.73%	2.05%	1.42%
54	0.36%	0.49%	0.25%	1.64%	1.93%	1.35%
53	0.33%	0.44%	0.23%	1.56%	1.83%	1.28%
52	0.31%	0.4%	0.21%	1.48%	1.74%	1.22%
51	0.28%	0.36%	0.2%	1.4%	1.64%	1.15%
50	0.25%	0.33%	0.18%	1.34%	1.57%	1.1%
49	0.23%	0.3%	0.16%	1.25%	1.47%	1.04%
48	0.21%	0.28%	0.15%	1.19%	1.38%	0.98%
47	0.19%	0.25%	0.14%	1.12%	1.3%	0.93%
46	0.17%	0.22%	0.12%	1.06%	1.23%	0.88%
45	0.15%	0.2%	0.11%	1%	1.17%	0.84%
44	0.14%	0.19%	0.1%	0.95%	1.1%	0.79%
43	0.13%	0.17%	0.09%	0.9%	1.04%	0.76%
42	0.11%	0.15%	0.08%	0.86%	0.98%	0.72%
41	0.1%	0.14%	0.07%	0.81%	0.93%	0.69%
40	0.09%	0.12%	0.06%	0.78%	0.89%	0.66%
39	0.09%	0.12%	0.06%	0.73%	0.83%	0.63%
38	0.08%	0.11%	0.05%	0.69%	0.79%	0.6%
37	0.07%	0.1%	0.05%	0.65%	0.74%	0.57%
36	0.07%	0.1%	0.04%	0.62%	0.69%	0.54%
35	0.06%	0.09%	0.04%	0.58%	0.65%	0.51%
34	0.06%	0.08%	0.04%	0.54%	0.61%	0.48%
33	0.06%	0.08%	0.03%	0.51%	0.57%	0.45%
32	0.05%	0.07%	0.03%	0.48%	0.53%	0.43%
31	0.05%	0.07%	0.03%	0.45%	0.5%	0.4%
30	0.05%	0.07%	0.03%	0.42%	0.47%	0.38%
29	0.05%	0.06%	0.03%	0.4%	0.44%	0.36%
28	0.04%	0.06%	0.02%	0.37%	0.42%	0.33%
27	0.04%	0.06%	0.02%	0.35%	0.39%	0.31%
26	0.04%	0.06%	0.02%	0.33%	0.37%	0.29%
25	0.04%	0.06%	0.02%	0.31%	0.35%	0.27%
24	0.04%	0.05%	0.02%	0.29%	0.32%	0.25%
23	0.03%	0.05%	0.02%	0.27%	0.31%	0.23%
22	0.03%	0.05%	0.02%	0.25%	0.28%	0.21%
21	0.03%	0.05%	0.02%	0.23%	0.26%	0.19%
20	0.03%	0.05%	0.02%	0.21%	0.24%	0.18%
19	0.03%	0.04%	0.02%	0.19%	0.22%	0.16%
18	0.02%	0.03%	0.01%	0.17%	0.2%	0.15%
17	0.02%	0.03%	0.01%	0.15%	0.17%	0.13%
16	0.02%	0.02%	0.01%	0.13%	0.14%	0.11%
15	0.01%	0.02%	0.009%	0.11%	0.12%	0.1%
14	0.01%	0.01%	0.008%	0.09%	0.1%	0.08%
13	0.008%	0.009%	0.007%	0.08%	0.09%	0.08%
12	0.006%	0.007%	0.006%	0.07%	0.08%	0.07%
11	0.006%	0.006%	0.005%	0.07%	0.08%	0.07%
10	0.005%	0.006%	0.005%	0.07%	0.07%	0.07%
9	0.005%	0.005%	0.005%	0.07%	0.08%	0.07%
8	0.005%	0.006%	0.005%	0.08%	0.08%	0.07%
7	0.006%	0.007%	0.005%	0.09%	0.09%	0.08%
6	0.006%	0.007%	0.005%	0.1%	0.1%	0.09%
5	0.007%	0.008%	0.006%	0.11%	0.12%	0.11%
4	0.008%	0.009%	0.008%	0.15%	0.15%	0.15%
3	0.01%	0.01%	0.009%	0.21%	0.21%	0.2%
2	0.01%	0.01%	0.01%	0.3%	0.29%	0.3%
1	0.03%	0.03%	0.03%	0.47%	0.44%	0.49%
0	0.3%	0.33%	0.28%	2.82%	3.15%	2.48%

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

The annual chance of dying is 0.3% in the birth year in France and 2.82% in Kenya, 0.05% vs 0.42% at age 30, 0.62% vs 2.36% at 60, and 2.98% vs 8.53% at 80.

Death rate by age in France vs Kenya

Chart Table

France

Male

Female

Kenya

Male

Female

1x

Age	Death rate
	France			Kenya
	Total	Male	Female	Total	Male	Female
100	1,257	525	1,886	53.6	13.4	94.3
99	1,717	974	2,377	158.4	84	232.3
98	2,181	1,328	2,953	217.5	120.1	313
97	2,664	1,736	3,520	295.7	169.3	419
96	3,136	2,174	4,044	392	232.6	547
95	3,566	2,621	4,479	505	311	693
94	3,929	3,061	4,791	631	405	851
93	4,211	3,459	4,980	771	514	1,023
92	4,402	3,775	5,063	923	638	1,207
91	4,504	4,005	5,047	1,072	767	1,378
90	4,516	4,153	4,926	1,255	920	1,598
89	4,437	4,218	4,704	1,403	1,066	1,756
88	4,280	4,202	4,403	1,565	1,223	1,933
87	4,053	4,094	4,051	1,711	1,375	2,084
86	3,770	3,898	3,672	1,852	1,523	2,224
85	3,472	3,678	3,289	1,959	1,651	2,316
84	3,165	3,431	2,920	2,058	1,776	2,391
83	2,866	3,163	2,588	2,113	1,864	2,409
82	2,588	2,905	2,295	2,159	1,941	2,415
81	2,350	2,683	2,040	2,146	1,973	2,345
80	2,139	2,485	1,810	2,192	2,033	2,362
79	1,947	2,305	1,605	2,204	2,068	2,335
78	1,776	2,134	1,429	2,244	2,116	2,353
77	1,623	1,970	1,286	2,240	2,132	2,320
76	1,490	1,827	1,166	2,243	2,160	2,313
75	1,380	1,714	1,059	2,230	2,178	2,289
74	1,279	1,607	966	2,212	2,183	2,248
73	1,192	1,511	888	2,188	2,182	2,200
72	1,118	1,428	820	2,166	2,180	2,156
71	1,051	1,357	757	2,112	2,148	2,080
70	987	1,291	696	2,099	2,153	2,048
69	929	1,226	642	2,043	2,116	1,972
68	876	1,162	599	2,012	2,102	1,922
67	833	1,109	566	1,976	2,083	1,867
66	799	1,068	538	1,944	2,067	1,816
65	766	1,028	510	1,921	2,060	1,776
64	728	981	481	1,844	1,998	1,682
63	693	941	453	1,770	1,935	1,595
62	660	897	428	1,699	1,873	1,515
61	621	840	407	1,618	1,792	1,432
60	578	775	385	1,560	1,739	1,366
59	535	715	359	1,477	1,648	1,294
58	494	660	332	1,416	1,584	1,236
57	457	609	310	1,358	1,522	1,180
56	422	558	288.2	1,307	1,469	1,132
55	385	506	264.8	1,262	1,425	1,085
54	350	459	241.9	1,215	1,373	1,042
53	320	419	222.2	1,171	1,326	1,002
52	294.5	381	207	1,132	1,283	967
51	270.3	347	192.8	1,084	1,231	924
50	247.3	318	176.5	1,049	1,193	892
49	226.8	292.2	160.7	997	1,133	850
48	206.5	265.7	146.5	954	1,084	811
47	186.6	240.5	132.9	910	1,034	774
46	167.7	217.6	118.8	869	988	739
45	151.3	197.7	106.4	834	947	710
44	137.9	180.5	96.7	794	900	679
43	124.4	163.5	86.7	761	861	653
42	110.4	146.7	75.6	730	824	628
41	99.4	133	67.3	699	786	605
40	91.2	122.4	61.4	673	757	584
39	84.8	114	56.8	639	716	559
38	78.9	106.5	52.1	610	682	536
37	73.3	100.1	47.3	580	647	511
36	68	93.9	42.5	549	611	487
35	62.8	87.4	38.4	521	578	464
34	58.2	81.6	35	489	543	436
33	54.5	76.7	32.2	461	510	412
32	51.1	72.7	29.6	435	481	391
31	48.4	69.4	27.3	409	452	367
30	46.5	66	26.6	390	431	351
29	44.6	62.9	25.8	367	404	332
28	42.2	60.6	23.1	346	382	311
27	40	58.7	20.5	326	361	293.5
26	38.7	57.2	19.5	306	340	273.1
25	37.6	55.1	19.1	287	322	252.9
24	35.8	52.2	18.4	268.3	303	234.5
23	34.2	49.8	17.8	250.7	285.1	216.8
22	33.8	48.9	17.9	232.9	266.5	199.6
21	33.5	48.4	17.9	214.5	246.6	182.5
20	31.9	46.1	16.9	198.6	226.6	170.5
19	28.3	40.3	15.8	180.2	205.8	154.3
18	23.8	32.9	14.3	162.4	185.4	139
17	19.3	25.7	12.5	140.3	157.5	122.8
16	15.4	19.8	10.8	119.7	131.5	107.6
15	12.3	15.2	9.3	102.9	111	94.6
14	9.88	11.7	7.95	87.5	93.7	81.2
13	7.79	8.9	6.62	76.9	81.8	72
12	6.35	7.08	5.59	70.4	75.3	65.4
11	5.77	6.36	5.15	67.3	72.1	62.5
10	5.44	5.91	4.94	66.7	70.3	63.1
9	5.1	5.45	4.72	69	72.4	65.5
8	5.25	5.85	4.61	74.2	78.3	70.1
7	5.76	6.67	4.8	82.4	86.7	78.1
6	6.23	7.05	5.38	92.5	96.3	88.6
5	7.01	7.61	6.38	109.2	111.8	106.5
4	8.43	9.18	7.63	144	146.8	141.1
3	9.67	10.8	8.53	197.9	197.7	198
2	11.2	12.4	9.83	288.3	281.8	294.8
1	28.8	31.5	26	454	428	480
0	303	329	276.7	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 France, the most common age of death is 90, compared to 0 in Kenya. The median age of death is 87.4 in France 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 France and Kenya more than their death rates.

Life expectancy in other countries

+ -

1x