Life Expectancy in Congo vs Kenya (1950-2026)

Life expectancy by current age

Chart Table

Congo

Male

Female

Kenya

Male

Female

1x

Current age, years	Total life expectancy, years
	Congo			Kenya
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	102.2	102	102.2
99	101	101	101	101.3	101.1	101.4
98	100.1	100.2	100.1	100.4	100.2	100.5
97	99.2	99.3	99.1	99.5	99.4	99.6
96	98.3	98.4	98.2	98.7	98.5	98.8
95	97.4	97.5	97.4	97.8	97.6	97.9
94	96.6	96.7	96.5	97	96.8	97.1
93	95.7	95.8	95.7	96.2	95.9	96.3
92	94.9	94.9	94.8	95.4	95.1	95.5
91	94	94.1	94	94.6	94.3	94.7
90	93.2	93.3	93.2	93.8	93.5	94
89	92.4	92.5	92.4	93	92.7	93.2
88	91.6	91.6	91.6	92.3	91.9	92.5
87	90.9	90.9	90.9	91.6	91.1	91.8
86	90.1	90.1	90.1	90.8	90.4	91.1
85	89.3	89.3	89.4	90.1	89.7	90.4
84	88.6	88.5	88.7	89.5	89	89.7
83	87.9	87.8	88	88.8	88.3	89.1
82	87.2	87.1	87.3	88.2	87.6	88.5
81	86.5	86.4	86.7	87.6	87	87.9
80	85.9	85.7	86	87	86.3	87.4
79	85.2	85	85.4	86.4	85.7	86.8
78	84.6	84.3	84.8	85.8	85.1	86.3
77	84	83.7	84.3	85.2	84.5	85.7
76	83.4	83.1	83.7	84.6	83.9	85.2
75	82.9	82.5	83.2	84.1	83.3	84.7
74	82.3	81.9	82.7	83.6	82.8	84.2
73	81.8	81.3	82.2	83	82.2	83.7
72	81.3	80.8	81.7	82.5	81.6	83.2
71	80.8	80.3	81.3	82	81.1	82.7
70	80.3	79.8	80.8	81.5	80.5	82.2
69	79.9	79.3	80.4	81	80	81.8
68	79.5	78.8	80	80.5	79.5	81.3
67	79.1	78.4	79.7	80	79	80.9
66	78.7	77.9	79.3	79.5	78.5	80.5
65	78.3	77.5	79	79.1	78	80
64	77.9	77.1	78.6	78.6	77.5	79.6
63	77.6	76.7	78.3	78.2	77	79.2
62	77.2	76.4	78	77.8	76.5	78.9
61	76.9	76	77.7	77.4	76.1	78.5
60	76.6	75.6	77.4	77	75.6	78.2
59	76.3	75.3	77.2	76.6	75.2	77.8
58	76	75	76.9	76.2	74.8	77.5
57	75.7	74.7	76.7	75.8	74.4	77.2
56	75.4	74.4	76.4	75.5	74	76.9
55	75.1	74.1	76.2	75.1	73.7	76.6
54	74.9	73.8	75.9	74.8	73.3	76.3
53	74.6	73.5	75.7	74.5	72.9	76
52	74.4	73.2	75.5	74.1	72.6	75.7
51	74.1	73	75.3	73.8	72.2	75.4
50	73.9	72.7	75.1	73.5	71.9	75.1
49	73.7	72.5	74.9	73.2	71.6	74.9
48	73.5	72.2	74.7	72.9	71.2	74.6
47	73.3	72	74.5	72.6	70.9	74.4
46	73.1	71.8	74.3	72.4	70.6	74.1
45	72.9	71.6	74.1	72.1	70.3	73.9
44	72.7	71.4	74	71.8	70.1	73.6
43	72.5	71.2	73.8	71.6	69.8	73.4
42	72.3	71	73.7	71.3	69.5	73.2
41	72.2	70.9	73.5	71.1	69.2	73
40	72	70.7	73.3	70.8	69	72.8
39	71.9	70.5	73.2	70.6	68.7	72.5
38	71.7	70.4	73.1	70.4	68.5	72.3
37	71.6	70.2	72.9	70.2	68.3	72.1
36	71.4	70.1	72.8	70	68.1	71.9
35	71.3	69.9	72.7	69.8	67.8	71.8
34	71.2	69.8	72.5	69.6	67.6	71.6
33	71	69.6	72.4	69.4	67.5	71.4
32	70.9	69.5	72.3	69.2	67.3	71.2
31	70.8	69.4	72.2	69.1	67.1	71.1
30	70.7	69.3	72.1	68.9	66.9	70.9
29	70.6	69.1	72	68.7	66.7	70.8
28	70.5	69	71.9	68.6	66.6	70.6
27	70.3	68.9	71.8	68.4	66.4	70.5
26	70.2	68.8	71.7	68.3	66.3	70.4
25	70.1	68.7	71.6	68.2	66.1	70.3
24	70.1	68.6	71.5	68	66	70.1
23	70	68.5	71.5	67.9	65.9	70
22	69.9	68.4	71.4	67.8	65.8	69.9
21	69.8	68.3	71.3	67.7	65.6	69.8
20	69.7	68.2	71.2	67.6	65.5	69.8
19	69.6	68.1	71.2	67.5	65.4	69.7
18	69.6	68	71.1	67.4	65.3	69.6
17	69.5	68	71.1	67.4	65.3	69.5
16	69.4	67.9	71	67.3	65.2	69.5
15	69.4	67.8	71	67.2	65.1	69.4
14	69.3	67.8	70.9	67.2	65.1	69.4
13	69.3	67.8	70.9	67.1	65	69.3
12	69.3	67.7	70.8	67.1	65	69.3
11	69.2	67.7	70.8	67.1	65	69.3
10	69.2	67.6	70.8	67	64.9	69.2
9	69.2	67.6	70.7	67	64.9	69.2
8	69.1	67.5	70.7	66.9	64.8	69.1
7	69.1	67.5	70.6	66.9	64.8	69.1
6	69	67.4	70.6	66.8	64.7	69
5	68.9	67.4	70.5	66.8	64.7	69
4	68.8	67.3	70.4	66.7	64.6	68.9
3	68.7	67.2	70.3	66.5	64.4	68.7
2	68.5	67	70.1	66.3	64.3	68.5
1	68.2	66.7	69.8	66	64	68.2
0	66.4	64.7	68.2	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 the Congo can expect to live to 70.7 years compared to 68.9 in Kenya, rising to 78.3 and 79.1 at 65, and to 85.9 and 87 at 80 — higher than the 66.4 and 64.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Congo

Male

Female

Kenya

Male

Female

1x

Age	Survival probability
	Congo			Kenya
	Average	Male	Female	Average	Male	Female
100	0.12%	0.11%	0.13%	0.32%	0.15%	0.49%
99	0.19%	0.17%	0.22%	0.48%	0.24%	0.72%
98	0.3%	0.26%	0.35%	0.69%	0.36%	1.03%
97	0.46%	0.39%	0.54%	0.99%	0.53%	1.45%
96	0.69%	0.57%	0.82%	1.38%	0.76%	2%
95	1.01%	0.81%	1.2%	1.89%	1.07%	2.69%
94	1.43%	1.14%	1.72%	2.52%	1.48%	3.54%
93	1.98%	1.57%	2.4%	3.29%	1.99%	4.57%
92	2.68%	2.12%	3.27%	4.21%	2.63%	5.77%
91	3.55%	2.8%	4.34%	5.28%	3.39%	7.15%
90	4.63%	3.64%	5.65%	6.54%	4.31%	8.75%
89	5.9%	4.65%	7.2%	7.94%	5.38%	10.5%
88	7.39%	5.84%	9%	9.51%	6.6%	12.4%
87	9.11%	7.23%	11.1%	11.2%	7.98%	14.5%
86	11%	8.81%	13.3%	13.1%	9.5%	16.7%
85	13.2%	10.6%	15.9%	15%	11.2%	19.1%
84	15.5%	12.6%	18.6%	17.1%	12.9%	21.5%
83	18.1%	14.8%	21.5%	19.2%	14.8%	23.9%
82	20.7%	17.1%	24.5%	21.4%	16.7%	26.3%
81	23.5%	19.6%	27.5%	23.5%	18.7%	28.6%
80	26.4%	22.2%	30.7%	25.7%	20.7%	31%
79	29.3%	24.9%	33.8%	27.9%	22.8%	33.3%
78	32.3%	27.7%	37%	30.1%	24.9%	35.7%
77	35.3%	30.5%	40.1%	32.4%	27.1%	38%
76	38.2%	33.4%	43.2%	34.6%	29.2%	40.3%
75	41.2%	36.3%	46.2%	36.9%	31.4%	42.6%
74	44%	39.1%	49%	39.1%	33.6%	44.8%
73	46.8%	41.9%	51.8%	41.3%	35.8%	47%
72	49.5%	44.7%	54.4%	43.4%	37.9%	49.2%
71	52.1%	47.3%	56.9%	45.5%	40.1%	51.3%
70	54.5%	49.9%	59.3%	47.6%	42.2%	53.3%
69	56.9%	52.4%	61.5%	49.7%	44.4%	55.3%
68	59.1%	54.8%	63.5%	51.7%	46.5%	57.2%
67	61.2%	57%	65.5%	53.7%	48.5%	59.1%
66	63.2%	59.1%	67.3%	55.6%	50.6%	60.9%
65	65.1%	61.2%	69%	57.5%	52.7%	62.7%
64	66.9%	63.1%	70.6%	59.4%	54.7%	64.4%
63	68.5%	65%	72.1%	61.1%	56.6%	66%
62	70.1%	66.8%	73.6%	62.8%	58.5%	67.5%
61	71.6%	68.4%	74.9%	64.5%	60.3%	68.9%
60	73.1%	70%	76.1%	66%	62%	70.3%
59	74.4%	71.5%	77.3%	67.5%	63.7%	71.6%
58	75.6%	72.9%	78.4%	68.9%	65.2%	72.8%
57	76.8%	74.3%	79.4%	70.3%	66.8%	74%
56	77.9%	75.5%	80.4%	71.6%	68.2%	75.1%
55	79%	76.7%	81.3%	72.8%	69.7%	76.2%
54	80%	77.9%	82.2%	74.1%	71%	77.2%
53	81%	79%	83%	75.2%	72.4%	78.2%
52	81.9%	80%	83.8%	76.4%	73.6%	79.2%
51	82.8%	81%	84.6%	77.4%	74.9%	80.1%
50	83.6%	81.9%	85.3%	78.5%	76.1%	81%
49	84.3%	82.8%	86%	79.5%	77.2%	81.9%
48	85.1%	83.6%	86.6%	80.4%	78.3%	82.7%
47	85.7%	84.3%	87.2%	81.4%	79.3%	83.5%
46	86.4%	85%	87.8%	82.2%	80.3%	84.2%
45	87%	85.7%	88.3%	83.1%	81.2%	84.9%
44	87.6%	86.3%	88.8%	83.9%	82.1%	85.6%
43	88.1%	86.9%	89.3%	84.6%	83%	86.2%
42	88.6%	87.5%	89.7%	85.3%	83.8%	86.9%
41	89.1%	88%	90.2%	86%	84.6%	87.5%
40	89.5%	88.5%	90.6%	86.7%	85.4%	88.1%
39	90%	89%	91%	87.4%	86.1%	88.6%
38	90.4%	89.5%	91.4%	88%	86.8%	89.1%
37	90.8%	89.9%	91.7%	88.5%	87.4%	89.7%
36	91.1%	90.3%	92%	89.1%	88%	90.1%
35	91.5%	90.6%	92.4%	89.6%	88.6%	90.6%
34	91.8%	91%	92.6%	90.1%	89.2%	91%
33	92.1%	91.3%	92.9%	90.6%	89.7%	91.5%
32	92.4%	91.7%	93.2%	91%	90.1%	91.9%
31	92.7%	92%	93.4%	91.4%	90.6%	92.2%
30	93%	92.2%	93.7%	91.8%	91%	92.6%
29	93.2%	92.5%	93.9%	92.2%	91.4%	92.9%
28	93.4%	92.8%	94.1%	92.5%	91.8%	93.2%
27	93.7%	93%	94.3%	92.8%	92.2%	93.5%
26	93.9%	93.3%	94.5%	93.1%	92.5%	93.8%
25	94.1%	93.5%	94.7%	93.4%	92.8%	94%
24	94.3%	93.7%	94.9%	93.7%	93.1%	94.3%
23	94.5%	94%	95%	94%	93.4%	94.5%
22	94.7%	94.2%	95.2%	94.2%	93.7%	94.7%
21	94.8%	94.4%	95.3%	94.4%	93.9%	94.9%
20	95%	94.5%	95.4%	94.6%	94.2%	95%
19	95.1%	94.7%	95.6%	94.8%	94.4%	95.2%
18	95.3%	94.9%	95.7%	94.9%	94.6%	95.3%
17	95.4%	95%	95.8%	95.1%	94.7%	95.5%
16	95.5%	95.1%	95.9%	95.2%	94.8%	95.6%
15	95.6%	95.2%	95.9%	95.3%	95%	95.7%
14	95.7%	95.3%	96%	95.4%	95%	95.7%
13	95.7%	95.4%	96.1%	95.5%	95.1%	95.8%
12	95.8%	95.4%	96.1%	95.5%	95.2%	95.9%
11	95.8%	95.5%	96.2%	95.6%	95.3%	95.9%
10	95.9%	95.6%	96.2%	95.7%	95.3%	96%
9	96%	95.6%	96.3%	95.7%	95.4%	96.1%
8	96%	95.7%	96.4%	95.8%	95.5%	96.1%
7	96.1%	95.8%	96.4%	95.9%	95.6%	96.2%
6	96.2%	95.9%	96.5%	96%	95.7%	96.3%
5	96.3%	96%	96.6%	96.1%	95.8%	96.4%
4	96.4%	96.1%	96.8%	96.2%	95.9%	96.5%
3	96.6%	96.3%	96.9%	96.4%	96.1%	96.7%
2	96.9%	96.6%	97.2%	96.7%	96.4%	97%
1	97.3%	97%	97.7%	97.2%	96.8%	97.5%

This chart shows the odds of living to each age from birth. 73.1% of newborns in the Congo and 66% in Kenya are expected to live past 60, 54.5% and 47.6% past 70, 26.4% and 25.7% past 80, and only 4.63% 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

Congo

Male

Female

Kenya

Male

Female

1x

Age	Probability of dying
	Congo			Kenya
	Average	Male	Female	Average	Male	Female
100	39.6%	37.4%	41.1%	34.7%	36.8%	33.8%
99	38%	36.1%	39.4%	33.2%	35.4%	32.3%
98	36.2%	34.3%	37.4%	31.3%	33.6%	30.4%
97	34.6%	33.1%	35.6%	29.9%	32.1%	28.9%
96	33%	31.7%	33.8%	28.3%	30.6%	27.4%
95	31.3%	30.3%	32%	26.7%	29.1%	25.8%
94	29.6%	28.8%	30.1%	25.1%	27.5%	24%
93	27.9%	27.3%	28.2%	23.4%	25.8%	22.4%
92	26.2%	25.8%	26.5%	21.9%	24.3%	20.9%
91	24.5%	24.3%	24.7%	20.3%	22.6%	19.3%
90	23.2%	23.1%	23.2%	19.2%	21.3%	18.3%
89	21.6%	21.6%	21.5%	17.7%	19.8%	16.7%
88	20.2%	20.4%	20%	16.5%	18.5%	15.5%
87	18.8%	19.2%	18.6%	15.3%	17.2%	14.3%
86	17.6%	18%	17.2%	14.2%	16%	13.3%
85	16.3%	16.9%	15.9%	13%	14.8%	12.2%
84	15.1%	15.8%	14.6%	12%	13.7%	11.1%
83	13.9%	14.7%	13.4%	11%	12.6%	10.1%
82	12.9%	13.7%	12.3%	10.1%	11.6%	9.19%
81	11.8%	12.6%	11.2%	9.13%	10.5%	8.19%
80	11%	11.8%	10.3%	8.53%	9.8%	7.62%
79	9.99%	10.9%	9.34%	7.9%	9.07%	7.01%
78	9.21%	10.1%	8.55%	7.44%	8.49%	6.6%
77	8.41%	9.26%	7.75%	6.92%	7.88%	6.11%
76	7.74%	8.57%	7.08%	6.48%	7.39%	5.74%
75	7.11%	7.91%	6.46%	6.05%	6.94%	5.37%
74	6.5%	7.28%	5.86%	5.66%	6.5%	5.01%
73	5.94%	6.7%	5.32%	5.3%	6.1%	4.68%
72	5.43%	6.16%	4.84%	4.99%	5.75%	4.38%
71	4.91%	5.6%	4.34%	4.64%	5.36%	4.06%
70	4.54%	5.18%	3.99%	4.41%	5.1%	3.84%
69	4.1%	4.7%	3.58%	4.11%	4.77%	3.57%
68	3.76%	4.32%	3.27%	3.89%	4.52%	3.36%
67	3.44%	3.95%	2.97%	3.68%	4.29%	3.16%
66	3.14%	3.62%	2.7%	3.5%	4.08%	2.98%
65	2.9%	3.34%	2.49%	3.34%	3.91%	2.83%
64	2.67%	3.09%	2.28%	3.11%	3.65%	2.61%
63	2.46%	2.86%	2.09%	2.9%	3.42%	2.42%
62	2.28%	2.65%	1.93%	2.7%	3.2%	2.25%
61	2.08%	2.43%	1.76%	2.51%	2.97%	2.08%
60	1.95%	2.28%	1.65%	2.36%	2.81%	1.94%
59	1.78%	2.08%	1.5%	2.19%	2.59%	1.81%
58	1.66%	1.93%	1.4%	2.05%	2.43%	1.7%
57	1.54%	1.79%	1.3%	1.93%	2.28%	1.59%
56	1.44%	1.68%	1.22%	1.83%	2.15%	1.51%
55	1.35%	1.57%	1.14%	1.73%	2.05%	1.42%
54	1.27%	1.47%	1.07%	1.64%	1.93%	1.35%
53	1.19%	1.37%	1.01%	1.56%	1.83%	1.28%
52	1.12%	1.29%	0.95%	1.48%	1.74%	1.22%
51	1.04%	1.19%	0.88%	1.4%	1.64%	1.15%
50	0.98%	1.12%	0.84%	1.34%	1.57%	1.1%
49	0.91%	1.04%	0.78%	1.25%	1.47%	1.04%
48	0.85%	0.97%	0.73%	1.19%	1.38%	0.98%
47	0.79%	0.9%	0.68%	1.12%	1.3%	0.93%
46	0.74%	0.84%	0.64%	1.06%	1.23%	0.88%
45	0.7%	0.79%	0.61%	1%	1.17%	0.84%
44	0.65%	0.73%	0.57%	0.95%	1.1%	0.79%
43	0.61%	0.69%	0.54%	0.9%	1.04%	0.76%
42	0.58%	0.65%	0.51%	0.86%	0.98%	0.72%
41	0.54%	0.6%	0.48%	0.81%	0.93%	0.69%
40	0.52%	0.57%	0.46%	0.78%	0.89%	0.66%
39	0.48%	0.53%	0.43%	0.73%	0.83%	0.63%
38	0.45%	0.5%	0.41%	0.69%	0.79%	0.6%
37	0.43%	0.47%	0.38%	0.65%	0.74%	0.57%
36	0.4%	0.44%	0.36%	0.62%	0.69%	0.54%
35	0.38%	0.42%	0.34%	0.58%	0.65%	0.51%
34	0.36%	0.39%	0.32%	0.54%	0.61%	0.48%
33	0.33%	0.37%	0.3%	0.51%	0.57%	0.45%
32	0.32%	0.35%	0.29%	0.48%	0.53%	0.43%
31	0.3%	0.33%	0.27%	0.45%	0.5%	0.4%
30	0.28%	0.31%	0.26%	0.42%	0.47%	0.38%
29	0.27%	0.3%	0.24%	0.4%	0.44%	0.36%
28	0.26%	0.28%	0.23%	0.37%	0.42%	0.33%
27	0.24%	0.27%	0.21%	0.35%	0.39%	0.31%
26	0.23%	0.26%	0.2%	0.33%	0.37%	0.29%
25	0.22%	0.25%	0.19%	0.31%	0.35%	0.27%
24	0.21%	0.24%	0.18%	0.29%	0.32%	0.25%
23	0.2%	0.23%	0.17%	0.27%	0.31%	0.23%
22	0.19%	0.22%	0.16%	0.25%	0.28%	0.21%
21	0.18%	0.21%	0.15%	0.23%	0.26%	0.19%
20	0.17%	0.19%	0.14%	0.21%	0.24%	0.18%
19	0.15%	0.18%	0.13%	0.19%	0.22%	0.16%
18	0.14%	0.16%	0.12%	0.17%	0.2%	0.15%
17	0.12%	0.14%	0.1%	0.15%	0.17%	0.13%
16	0.11%	0.12%	0.09%	0.13%	0.14%	0.11%
15	0.09%	0.1%	0.08%	0.11%	0.12%	0.1%
14	0.08%	0.09%	0.07%	0.09%	0.1%	0.08%
13	0.07%	0.08%	0.07%	0.08%	0.09%	0.08%
12	0.07%	0.07%	0.06%	0.07%	0.08%	0.07%
11	0.06%	0.07%	0.06%	0.07%	0.08%	0.07%
10	0.06%	0.07%	0.06%	0.07%	0.07%	0.07%
9	0.07%	0.07%	0.06%	0.07%	0.08%	0.07%
8	0.07%	0.08%	0.07%	0.08%	0.08%	0.07%
7	0.08%	0.09%	0.07%	0.09%	0.09%	0.08%
6	0.09%	0.1%	0.09%	0.1%	0.1%	0.09%
5	0.11%	0.11%	0.1%	0.11%	0.12%	0.11%
4	0.14%	0.15%	0.14%	0.15%	0.15%	0.15%
3	0.19%	0.2%	0.19%	0.21%	0.21%	0.2%
2	0.28%	0.28%	0.28%	0.3%	0.29%	0.3%
1	0.44%	0.44%	0.45%	0.47%	0.44%	0.49%
0	2.67%	2.99%	2.35%	2.82%	3.15%	2.48%

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

The annual chance of dying is 2.67% in the birth year in the Congo and 2.82% in Kenya, 0.28% vs 0.42% at age 30, 1.95% vs 2.36% at 60, and 11% vs 8.53% at 80.

Death rate by age in Congo vs Kenya

Chart Table

Congo

Male

Female

Kenya

Male

Female

1x

Age	Death rate
	Congo			Kenya
	Total	Male	Female	Total	Male	Female
100	0	2.72	0	53.6	13.4	94.3
99	73.5	61.5	86.1	158.4	84	232.3
98	109.4	89.1	130.4	217.5	120.1	313
97	160.2	128.3	193.1	295.7	169.3	419
96	227.9	180.2	277	392	232.6	547
95	315	246.7	385	505	311	693
94	422	329	518	631	405	851
93	552	429	678	771	514	1,023
92	704	547	865	923	638	1,207
91	872	679	1,070	1,072	767	1,378
90	1,072	841	1,311	1,255	920	1,598
89	1,273	1,006	1,549	1,403	1,066	1,756
88	1,492	1,193	1,802	1,565	1,223	1,933
87	1,715	1,387	2,053	1,711	1,375	2,084
86	1,939	1,590	2,297	1,852	1,523	2,224
85	2,150	1,791	2,515	1,959	1,651	2,316
84	2,351	1,991	2,715	2,058	1,776	2,391
83	2,519	2,170	2,871	2,113	1,864	2,409
82	2,671	2,343	3,001	2,159	1,941	2,415
81	2,773	2,477	3,069	2,146	1,973	2,345
80	2,898	2,633	3,165	2,192	2,033	2,362
79	2,932	2,706	3,161	2,204	2,068	2,335
78	2,977	2,793	3,163	2,244	2,116	2,353
77	2,969	2,829	3,109	2,240	2,132	2,320
76	2,960	2,862	3,058	2,243	2,160	2,313
75	2,926	2,871	2,980	2,230	2,178	2,289
74	2,861	2,849	2,875	2,212	2,183	2,248
73	2,778	2,808	2,754	2,188	2,182	2,200
72	2,690	2,752	2,634	2,166	2,180	2,156
71	2,558	2,649	2,472	2,112	2,148	2,080
70	2,476	2,586	2,367	2,099	2,153	2,048
69	2,334	2,463	2,201	2,043	2,116	1,972
68	2,223	2,365	2,075	2,012	2,102	1,922
67	2,103	2,254	1,942	1,976	2,083	1,867
66	1,986	2,143	1,819	1,944	2,067	1,816
65	1,886	2,046	1,717	1,921	2,060	1,776
64	1,784	1,953	1,609	1,844	1,998	1,682
63	1,689	1,862	1,510	1,770	1,935	1,595
62	1,598	1,773	1,420	1,699	1,873	1,515
61	1,493	1,666	1,319	1,618	1,792	1,432
60	1,426	1,596	1,254	1,560	1,739	1,366
59	1,327	1,491	1,163	1,477	1,648	1,294
58	1,255	1,411	1,098	1,416	1,584	1,236
57	1,182	1,332	1,032	1,358	1,522	1,180
56	1,123	1,266	980	1,307	1,469	1,132
55	1,067	1,204	927	1,262	1,425	1,085
54	1,014	1,144	881	1,215	1,373	1,042
53	962	1,084	836	1,171	1,326	1,002
52	915	1,030	797	1,132	1,283	967
51	857	966	747	1,084	1,231	924
50	820	921	716	1,049	1,193	892
49	765	859	669	997	1,133	850
48	721	807	631	954	1,084	811
47	676	757	593	910	1,034	774
46	638	712	561	869	988	739
45	605	673	534	834	947	710
44	569	631	505	794	900	679
43	539	596	481	761	861	653
42	513	565	459	730	824	628
41	482	529	434	699	786	605
40	461	506	416	673	757	584
39	434	474	393	639	716	559
38	411	448	373	610	682	536
37	387	422	352	580	647	511
36	367	399	334	549	611	487
35	347	377	316	521	578	464
34	326	355	296.8	489	543	436
33	308	336	280.5	461	510	412
32	292.4	319	265.8	435	481	391
31	275.1	301	249.1	409	452	367
30	264.4	288.9	239.4	390	431	351
29	250.5	274.3	226.3	367	404	332
28	238.5	262.8	213.9	346	382	311
27	227.6	252.1	202.6	326	361	293.5
26	216.8	242.3	190.8	306	340	273.1
25	206.9	234.1	179.3	287	322	252.9
24	197.6	225.7	169	268.3	303	234.5
23	188.3	217.3	158.7	250.7	285.1	216.8
22	178.5	207.8	148.7	232.9	266.5	199.6
21	168	196.6	138.8	214.5	246.6	182.5
20	158	184.2	131.3	198.6	226.6	170.5
19	146.1	170.3	121.4	180.2	205.8	154.3
18	133.5	155.1	111.4	162.4	185.4	139
17	117.2	133.7	100.4	140.3	157.5	122.8
16	101.9	113.8	89.7	119.7	131.5	107.6
15	88	96.3	79.6	102.9	111	94.6
14	76.3	82.8	69.7	87.5	93.7	81.2
13	68.1	73.3	62.8	76.9	81.8	72
12	63	68	58	70.4	75.3	65.4
11	60.8	65.6	55.9	67.3	72.1	62.5
10	61	65.2	56.6	66.7	70.3	63.1
9	63.5	67.8	59.1	69	72.4	65.5
8	68.7	73.3	64	74.2	78.3	70.1
7	76.9	81.7	72	82.4	86.7	78.1
6	87.5	91.9	82.9	92.5	96.3	88.6
5	104	107.7	100.1	109.2	111.8	106.5
4	135.6	139.5	131.7	144	146.8	141.1
3	186.3	189.4	183.1	197.9	197.7	198
2	269.7	269.8	269.5	288.3	281.8	294.8
1	433	425	441	454	428	480
0	2,669	2,985	2,347	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 the Congo, the most common age of death is 78, compared to 0 in Kenya. The median age of death is 71.8 in the Congo 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 the Congo and Kenya more than their death rates.

Life expectancy in other countries

+ -

1x