Life Expectancy in Congo vs South Africa (1950-2026)

Life expectancy by current age

Chart Table

Congo

Male

Female

South Africa

Male

Female

1x

Current age, years	Total life expectancy, years
	Congo			South Africa
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	103.4	103.1	103.5
99	101	101	101	102.5	102.3	102.6
98	100.1	100.2	100.1	101.7	101.5	101.7
97	99.2	99.3	99.1	100.8	100.7	100.9
96	98.3	98.4	98.2	100	99.9	100
95	97.4	97.5	97.4	99.2	99.1	99.2
94	96.6	96.7	96.5	98.4	98.3	98.4
93	95.7	95.8	95.7	97.6	97.5	97.7
92	94.9	94.9	94.8	96.9	96.7	96.9
91	94	94.1	94	96.1	96	96.2
90	93.2	93.3	93.2	95.4	95.2	95.5
89	92.4	92.5	92.4	94.7	94.4	94.8
88	91.6	91.6	91.6	94	93.7	94.1
87	90.9	90.9	90.9	93.3	92.9	93.4
86	90.1	90.1	90.1	92.6	92.2	92.7
85	89.3	89.3	89.4	91.9	91.5	92.1
84	88.6	88.5	88.7	91.3	90.8	91.5
83	87.9	87.8	88	90.6	90.1	90.9
82	87.2	87.1	87.3	90	89.4	90.3
81	86.5	86.4	86.7	89.4	88.7	89.7
80	85.9	85.7	86	88.8	88	89.1
79	85.2	85	85.4	88.1	87.4	88.5
78	84.6	84.3	84.8	87.5	86.7	88
77	84	83.7	84.3	86.9	86	87.4
76	83.4	83.1	83.7	86.3	85.3	86.9
75	82.9	82.5	83.2	85.7	84.7	86.4
74	82.3	81.9	82.7	85.2	84	85.9
73	81.8	81.3	82.2	84.6	83.4	85.4
72	81.3	80.8	81.7	84.1	82.8	84.9
71	80.8	80.3	81.3	83.6	82.2	84.5
70	80.3	79.8	80.8	83.1	81.7	84.1
69	79.9	79.3	80.4	82.6	81.1	83.6
68	79.5	78.8	80	82.1	80.5	83.2
67	79.1	78.4	79.7	81.6	80	82.8
66	78.7	77.9	79.3	81.2	79.4	82.4
65	78.3	77.5	79	80.7	78.9	82.1
64	77.9	77.1	78.6	80.3	78.4	81.7
63	77.6	76.7	78.3	79.9	77.9	81.4
62	77.2	76.4	78	79.4	77.4	81
61	76.9	76	77.7	79	76.9	80.7
60	76.6	75.6	77.4	78.7	76.5	80.4
59	76.3	75.3	77.2	78.3	76	80.1
58	76	75	76.9	77.9	75.6	79.8
57	75.7	74.7	76.7	77.5	75.2	79.5
56	75.4	74.4	76.4	77.2	74.8	79.2
55	75.1	74.1	76.2	76.9	74.4	78.9
54	74.9	73.8	75.9	76.5	74	78.7
53	74.6	73.5	75.7	76.2	73.6	78.4
52	74.4	73.2	75.5	75.9	73.3	78.2
51	74.1	73	75.3	75.6	72.9	77.9
50	73.9	72.7	75.1	75.3	72.6	77.7
49	73.7	72.5	74.9	75	72.2	77.4
48	73.5	72.2	74.7	74.7	71.9	77.2
47	73.3	72	74.5	74.4	71.6	77
46	73.1	71.8	74.3	74.2	71.3	76.7
45	72.9	71.6	74.1	73.9	71	76.5
44	72.7	71.4	74	73.6	70.7	76.3
43	72.5	71.2	73.8	73.4	70.4	76.1
42	72.3	71	73.7	73.1	70.2	75.8
41	72.2	70.9	73.5	72.9	69.9	75.6
40	72	70.7	73.3	72.6	69.7	75.4
39	71.9	70.5	73.2	72.4	69.4	75.2
38	71.7	70.4	73.1	72.2	69.2	75
37	71.6	70.2	72.9	72	68.9	74.8
36	71.4	70.1	72.8	71.8	68.7	74.6
35	71.3	69.9	72.7	71.6	68.5	74.5
34	71.2	69.8	72.5	71.4	68.3	74.3
33	71	69.6	72.4	71.2	68.1	74.1
32	70.9	69.5	72.3	71	67.9	73.9
31	70.8	69.4	72.2	70.8	67.7	73.8
30	70.7	69.3	72.1	70.6	67.5	73.6
29	70.6	69.1	72	70.4	67.3	73.5
28	70.5	69	71.9	70.3	67.1	73.3
27	70.3	68.9	71.8	70.1	66.9	73.2
26	70.2	68.8	71.7	70	66.8	73.1
25	70.1	68.7	71.6	69.9	66.6	73
24	70.1	68.6	71.5	69.7	66.5	72.9
23	70	68.5	71.5	69.6	66.3	72.8
22	69.9	68.4	71.4	69.5	66.2	72.7
21	69.8	68.3	71.3	69.4	66.1	72.6
20	69.7	68.2	71.2	69.3	66	72.6
19	69.6	68.1	71.2	69.2	65.9	72.5
18	69.6	68	71.1	69.2	65.8	72.4
17	69.5	68	71.1	69.1	65.7	72.4
16	69.4	67.9	71	69	65.7	72.3
15	69.4	67.8	71	69	65.6	72.3
14	69.3	67.8	70.9	68.9	65.6	72.3
13	69.3	67.8	70.9	68.9	65.5	72.2
12	69.3	67.7	70.8	68.9	65.5	72.2
11	69.2	67.7	70.8	68.9	65.5	72.2
10	69.2	67.6	70.8	68.8	65.4	72.2
9	69.2	67.6	70.7	68.8	65.4	72.1
8	69.1	67.5	70.7	68.8	65.4	72.1
7	69.1	67.5	70.6	68.8	65.4	72.1
6	69	67.4	70.6	68.7	65.3	72.1
5	68.9	67.4	70.5	68.7	65.3	72
4	68.8	67.3	70.4	68.6	65.2	72
3	68.7	67.2	70.3	68.5	65.1	71.9
2	68.5	67	70.1	68.4	64.9	71.8
1	68.2	66.7	69.8	68.1	64.7	71.5
0	66.4	64.7	68.2	66.7	63.1	70.2

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 70.6 in South Africa, rising to 78.3 and 80.7 at 65, and to 85.9 and 88.8 at 80 — higher than the 66.4 and 66.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Congo

Male

Female

South Africa

Male

Female

1x

Age	Survival probability
	Congo			South Africa
	Average	Male	Female	Average	Male	Female
100	0.12%	0.11%	0.13%	1.63%	1%	2.22%
99	0.19%	0.17%	0.22%	2.11%	1.28%	2.88%
98	0.3%	0.26%	0.35%	2.68%	1.62%	3.67%
97	0.46%	0.39%	0.54%	3.36%	2.02%	4.59%
96	0.69%	0.57%	0.82%	4.15%	2.5%	5.67%
95	1.01%	0.81%	1.2%	5.06%	3.06%	6.91%
94	1.43%	1.14%	1.72%	6.09%	3.7%	8.3%
93	1.98%	1.57%	2.4%	7.24%	4.43%	9.84%
92	2.68%	2.12%	3.27%	8.49%	5.25%	11.5%
91	3.55%	2.8%	4.34%	9.86%	6.16%	13.3%
90	4.63%	3.64%	5.65%	11.3%	7.18%	15.2%
89	5.9%	4.65%	7.2%	12.9%	8.29%	17.3%
88	7.39%	5.84%	9%	14.6%	9.51%	19.4%
87	9.11%	7.23%	11.1%	16.4%	10.8%	21.7%
86	11%	8.81%	13.3%	18.2%	12.2%	24%
85	13.2%	10.6%	15.9%	20.1%	13.7%	26.3%
84	15.5%	12.6%	18.6%	22.1%	15.2%	28.6%
83	18.1%	14.8%	21.5%	24%	16.8%	31%
82	20.7%	17.1%	24.5%	26%	18.5%	33.4%
81	23.5%	19.6%	27.5%	28.1%	20.2%	35.8%
80	26.4%	22.2%	30.7%	30.2%	22%	38.2%
79	29.3%	24.9%	33.8%	32.3%	23.9%	40.6%
78	32.3%	27.7%	37%	34.6%	25.9%	43%
77	35.3%	30.5%	40.1%	36.8%	28%	45.4%
76	38.2%	33.4%	43.2%	39%	30.1%	47.7%
75	41.2%	36.3%	46.2%	41.2%	32.3%	50%
74	44%	39.1%	49%	43.4%	34.4%	52.1%
73	46.8%	41.9%	51.8%	45.5%	36.6%	54.2%
72	49.5%	44.7%	54.4%	47.5%	38.7%	56.2%
71	52.1%	47.3%	56.9%	49.6%	40.8%	58.2%
70	54.5%	49.9%	59.3%	51.6%	42.9%	60%
69	56.9%	52.4%	61.5%	53.5%	45.1%	61.9%
68	59.1%	54.8%	63.5%	55.5%	47.2%	63.6%
67	61.2%	57%	65.5%	57.3%	49.3%	65.3%
66	63.2%	59.1%	67.3%	59.2%	51.4%	66.8%
65	65.1%	61.2%	69%	60.9%	53.4%	68.3%
64	66.9%	63.1%	70.6%	62.6%	55.4%	69.8%
63	68.5%	65%	72.1%	64.2%	57.3%	71.1%
62	70.1%	66.8%	73.6%	65.7%	59.1%	72.4%
61	71.6%	68.4%	74.9%	67.2%	60.9%	73.6%
60	73.1%	70%	76.1%	68.7%	62.6%	74.7%
59	74.4%	71.5%	77.3%	70%	64.3%	75.9%
58	75.6%	72.9%	78.4%	71.4%	65.9%	76.9%
57	76.8%	74.3%	79.4%	72.7%	67.5%	78%
56	77.9%	75.5%	80.4%	73.9%	69%	78.9%
55	79%	76.7%	81.3%	75.1%	70.5%	79.9%
54	80%	77.9%	82.2%	76.2%	71.9%	80.7%
53	81%	79%	83%	77.3%	73.2%	81.6%
52	81.9%	80%	83.8%	78.4%	74.5%	82.4%
51	82.8%	81%	84.6%	79.4%	75.7%	83.1%
50	83.6%	81.9%	85.3%	80.3%	76.9%	83.9%
49	84.3%	82.8%	86%	81.2%	78%	84.6%
48	85.1%	83.6%	86.6%	82.1%	79.1%	85.3%
47	85.7%	84.3%	87.2%	83%	80.1%	85.9%
46	86.4%	85%	87.8%	83.8%	81.1%	86.6%
45	87%	85.7%	88.3%	84.6%	82%	87.2%
44	87.6%	86.3%	88.8%	85.3%	82.9%	87.8%
43	88.1%	86.9%	89.3%	86%	83.7%	88.4%
42	88.6%	87.5%	89.7%	86.7%	84.5%	89%
41	89.1%	88%	90.2%	87.4%	85.3%	89.6%
40	89.5%	88.5%	90.6%	88.1%	86%	90.1%
39	90%	89%	91%	88.7%	86.7%	90.6%
38	90.4%	89.5%	91.4%	89.2%	87.4%	91.1%
37	90.8%	89.9%	91.7%	89.8%	88.1%	91.6%
36	91.1%	90.3%	92%	90.4%	88.7%	92%
35	91.5%	90.6%	92.4%	90.9%	89.3%	92.5%
34	91.8%	91%	92.6%	91.4%	89.9%	92.9%
33	92.1%	91.3%	92.9%	91.8%	90.4%	93.3%
32	92.4%	91.7%	93.2%	92.3%	91%	93.6%
31	92.7%	92%	93.4%	92.7%	91.5%	94%
30	93%	92.2%	93.7%	93.1%	91.9%	94.3%
29	93.2%	92.5%	93.9%	93.5%	92.4%	94.6%
28	93.4%	92.8%	94.1%	93.9%	92.8%	94.9%
27	93.7%	93%	94.3%	94.2%	93.2%	95.2%
26	93.9%	93.3%	94.5%	94.5%	93.6%	95.4%
25	94.1%	93.5%	94.7%	94.8%	94%	95.7%
24	94.3%	93.7%	94.9%	95.1%	94.3%	95.9%
23	94.5%	94%	95%	95.3%	94.6%	96%
22	94.7%	94.2%	95.2%	95.5%	94.9%	96.2%
21	94.8%	94.4%	95.3%	95.7%	95.1%	96.3%
20	95%	94.5%	95.4%	95.9%	95.4%	96.5%
19	95.1%	94.7%	95.6%	96.1%	95.6%	96.6%
18	95.3%	94.9%	95.7%	96.2%	95.7%	96.7%
17	95.4%	95%	95.8%	96.3%	95.9%	96.8%
16	95.5%	95.1%	95.9%	96.4%	96%	96.9%
15	95.6%	95.2%	95.9%	96.5%	96.1%	97%
14	95.7%	95.3%	96%	96.6%	96.2%	97%
13	95.7%	95.4%	96.1%	96.6%	96.2%	97.1%
12	95.8%	95.4%	96.1%	96.7%	96.3%	97.1%
11	95.8%	95.5%	96.2%	96.7%	96.3%	97.1%
10	95.9%	95.6%	96.2%	96.8%	96.4%	97.2%
9	96%	95.6%	96.3%	96.8%	96.4%	97.2%
8	96%	95.7%	96.4%	96.8%	96.5%	97.2%
7	96.1%	95.8%	96.4%	96.9%	96.5%	97.3%
6	96.2%	95.9%	96.5%	96.9%	96.6%	97.3%
5	96.3%	96%	96.6%	97%	96.7%	97.4%
4	96.4%	96.1%	96.8%	97.1%	96.8%	97.4%
3	96.6%	96.3%	96.9%	97.2%	96.9%	97.6%
2	96.9%	96.6%	97.2%	97.5%	97.2%	97.8%
1	97.3%	97%	97.7%	97.8%	97.6%	98.1%

This chart shows the odds of living to each age from birth. 73.1% of newborns in the Congo and 68.7% in South Africa are expected to live past 60, 54.5% and 51.6% past 70, 26.4% and 30.2% past 80, and only 4.63% and 11.3% 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

South Africa

Male

Female

1x

Age	Probability of dying
	Congo			South Africa
	Average	Male	Female	Average	Male	Female
100	39.6%	37.4%	41.1%	23.6%	22.9%	23.9%
99	38%	36.1%	39.4%	22.5%	22%	22.8%
98	36.2%	34.3%	37.4%	21.3%	21%	21.5%
97	34.6%	33.1%	35.6%	20.2%	20%	20.2%
96	33%	31.7%	33.8%	19%	19.1%	19%
95	31.3%	30.3%	32%	18%	18.2%	17.9%
94	29.6%	28.8%	30.1%	16.9%	17.3%	16.8%
93	27.9%	27.3%	28.2%	15.9%	16.5%	15.6%
92	26.2%	25.8%	26.5%	14.8%	15.6%	14.5%
91	24.5%	24.3%	24.7%	13.8%	14.8%	13.5%
90	23.2%	23.1%	23.2%	13%	14.1%	12.6%
89	21.6%	21.6%	21.5%	12.3%	13.5%	11.8%
88	20.2%	20.4%	20%	11.5%	12.8%	11.1%
87	18.8%	19.2%	18.6%	10.8%	12.1%	10.3%
86	17.6%	18%	17.2%	10.1%	11.4%	9.6%
85	16.3%	16.9%	15.9%	9.43%	10.7%	8.88%
84	15.1%	15.8%	14.6%	8.78%	10%	8.21%
83	13.9%	14.7%	13.4%	8.21%	9.46%	7.62%
82	12.9%	13.7%	12.3%	7.71%	8.97%	7.1%
81	11.8%	12.6%	11.2%	7.3%	8.57%	6.66%
80	11%	11.8%	10.3%	6.96%	8.26%	6.28%
79	9.99%	10.9%	9.34%	6.67%	8%	5.94%
78	9.21%	10.1%	8.55%	6.37%	7.73%	5.61%
77	8.41%	9.26%	7.75%	6.06%	7.42%	5.26%
76	7.74%	8.57%	7.08%	5.71%	7.05%	4.89%
75	7.11%	7.91%	6.46%	5.35%	6.64%	4.53%
74	6.5%	7.28%	5.86%	4.98%	6.22%	4.17%
73	5.94%	6.7%	5.32%	4.64%	5.83%	3.85%
72	5.43%	6.16%	4.84%	4.34%	5.49%	3.57%
71	4.91%	5.6%	4.34%	4.09%	5.2%	3.33%
70	4.54%	5.18%	3.99%	3.87%	4.95%	3.12%
69	4.1%	4.7%	3.58%	3.67%	4.72%	2.92%
68	3.76%	4.32%	3.27%	3.48%	4.5%	2.74%
67	3.44%	3.95%	2.97%	3.28%	4.28%	2.55%
66	3.14%	3.62%	2.7%	3.08%	4.04%	2.37%
65	2.9%	3.34%	2.49%	2.88%	3.79%	2.19%
64	2.67%	3.09%	2.28%	2.68%	3.55%	2.03%
63	2.46%	2.86%	2.09%	2.5%	3.32%	1.88%
62	2.28%	2.65%	1.93%	2.34%	3.11%	1.75%
61	2.08%	2.43%	1.76%	2.2%	2.93%	1.65%
60	1.95%	2.28%	1.65%	2.08%	2.76%	1.55%
59	1.78%	2.08%	1.5%	1.98%	2.61%	1.47%
58	1.66%	1.93%	1.4%	1.88%	2.47%	1.39%
57	1.54%	1.79%	1.3%	1.78%	2.33%	1.32%
56	1.44%	1.68%	1.22%	1.68%	2.2%	1.24%
55	1.35%	1.57%	1.14%	1.58%	2.07%	1.16%
54	1.27%	1.47%	1.07%	1.49%	1.94%	1.09%
53	1.19%	1.37%	1.01%	1.4%	1.83%	1.02%
52	1.12%	1.29%	0.95%	1.32%	1.72%	0.96%
51	1.04%	1.19%	0.88%	1.25%	1.62%	0.91%
50	0.98%	1.12%	0.84%	1.19%	1.52%	0.87%
49	0.91%	1.04%	0.78%	1.13%	1.44%	0.84%
48	0.85%	0.97%	0.73%	1.08%	1.35%	0.8%
47	0.79%	0.9%	0.68%	1.03%	1.28%	0.78%
46	0.74%	0.84%	0.64%	0.98%	1.2%	0.75%
45	0.7%	0.79%	0.61%	0.93%	1.13%	0.73%
44	0.65%	0.73%	0.57%	0.88%	1.07%	0.7%
43	0.61%	0.69%	0.54%	0.84%	1.01%	0.68%
42	0.58%	0.65%	0.51%	0.8%	0.95%	0.65%
41	0.54%	0.6%	0.48%	0.76%	0.9%	0.63%
40	0.52%	0.57%	0.46%	0.73%	0.86%	0.6%
39	0.48%	0.53%	0.43%	0.69%	0.82%	0.57%
38	0.45%	0.5%	0.41%	0.66%	0.78%	0.54%
37	0.43%	0.47%	0.38%	0.63%	0.74%	0.51%
36	0.4%	0.44%	0.36%	0.6%	0.71%	0.49%
35	0.38%	0.42%	0.34%	0.57%	0.67%	0.46%
34	0.36%	0.39%	0.32%	0.54%	0.64%	0.44%
33	0.33%	0.37%	0.3%	0.51%	0.61%	0.42%
32	0.32%	0.35%	0.29%	0.49%	0.58%	0.4%
31	0.3%	0.33%	0.27%	0.46%	0.55%	0.38%
30	0.28%	0.31%	0.26%	0.44%	0.52%	0.36%
29	0.27%	0.3%	0.24%	0.41%	0.5%	0.33%
28	0.26%	0.28%	0.23%	0.39%	0.47%	0.31%
27	0.24%	0.27%	0.21%	0.36%	0.44%	0.28%
26	0.23%	0.26%	0.2%	0.33%	0.41%	0.25%
25	0.22%	0.25%	0.19%	0.3%	0.38%	0.23%
24	0.21%	0.24%	0.18%	0.28%	0.35%	0.2%
23	0.2%	0.23%	0.17%	0.25%	0.32%	0.18%
22	0.19%	0.22%	0.16%	0.23%	0.29%	0.17%
21	0.18%	0.21%	0.15%	0.21%	0.26%	0.15%
20	0.17%	0.19%	0.14%	0.19%	0.23%	0.14%
19	0.15%	0.18%	0.13%	0.16%	0.2%	0.13%
18	0.14%	0.16%	0.12%	0.14%	0.18%	0.11%
17	0.12%	0.14%	0.1%	0.12%	0.15%	0.1%
16	0.11%	0.12%	0.09%	0.11%	0.12%	0.09%
15	0.09%	0.1%	0.08%	0.09%	0.1%	0.07%
14	0.08%	0.09%	0.07%	0.07%	0.09%	0.06%
13	0.07%	0.08%	0.07%	0.06%	0.07%	0.05%
12	0.07%	0.07%	0.06%	0.05%	0.06%	0.04%
11	0.06%	0.07%	0.06%	0.04%	0.05%	0.04%
10	0.06%	0.07%	0.06%	0.04%	0.05%	0.03%
9	0.07%	0.07%	0.06%	0.04%	0.05%	0.03%
8	0.07%	0.08%	0.07%	0.04%	0.05%	0.03%
7	0.08%	0.09%	0.07%	0.04%	0.05%	0.04%
6	0.09%	0.1%	0.09%	0.05%	0.06%	0.04%
5	0.11%	0.11%	0.1%	0.07%	0.08%	0.06%
4	0.14%	0.15%	0.14%	0.1%	0.11%	0.08%
3	0.19%	0.2%	0.19%	0.15%	0.17%	0.12%
2	0.28%	0.28%	0.28%	0.22%	0.25%	0.2%
1	0.44%	0.44%	0.45%	0.35%	0.38%	0.32%
0	2.67%	2.99%	2.35%	2.19%	2.44%	1.93%

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

The annual chance of dying is 2.67% in the birth year in the Congo and 2.19% in South Africa, 0.28% vs 0.44% at age 30, 1.95% vs 2.08% at 60, and 11% vs 6.96% at 80.

Death rate by age in Congo vs South Africa

Chart Table

Congo

Male

Female

South Africa

Male

Female

1x

Age	Death rate
	Congo			South Africa
	Total	Male	Female	Total	Male	Female
100	0	2.72	0	359	204.6	501
99	73.5	61.5	86.1	475	280.8	655
98	109.4	89.1	130.4	572	340	787
97	160.2	128.3	193.1	677	406	928
96	227.9	180.2	277	789	478	1,077
95	315	246.7	385	909	558	1,236
94	422	329	518	1,031	642	1,393
93	552	429	678	1,148	729	1,540
92	704	547	865	1,257	818	1,670
91	872	679	1,070	1,363	912	1,794
90	1,072	841	1,311	1,476	1,014	1,924
89	1,273	1,006	1,549	1,585	1,118	2,045
88	1,492	1,193	1,802	1,686	1,220	2,150
87	1,715	1,387	2,053	1,775	1,315	2,238
86	1,939	1,590	2,297	1,845	1,397	2,299
85	2,150	1,791	2,515	1,897	1,467	2,335
84	2,351	1,991	2,715	1,937	1,530	2,353
83	2,519	2,170	2,871	1,972	1,591	2,363
82	2,671	2,343	3,001	2,008	1,656	2,371
81	2,773	2,477	3,069	2,052	1,732	2,383
80	2,898	2,633	3,165	2,102	1,819	2,399
79	2,932	2,706	3,161	2,156	1,914	2,411
78	2,977	2,793	3,163	2,202	2,006	2,410
77	2,969	2,829	3,109	2,228	2,080	2,386
76	2,960	2,862	3,058	2,228	2,126	2,335
75	2,926	2,871	2,980	2,204	2,144	2,262
74	2,861	2,849	2,875	2,161	2,141	2,176
73	2,778	2,808	2,754	2,112	2,132	2,089
72	2,690	2,752	2,634	2,066	2,123	2,008
71	2,558	2,649	2,472	2,028	2,121	1,936
70	2,476	2,586	2,367	1,997	2,124	1,871
69	2,334	2,463	2,201	1,966	2,128	1,807
68	2,223	2,365	2,075	1,929	2,124	1,740
67	2,103	2,254	1,942	1,882	2,108	1,667
66	1,986	2,143	1,819	1,822	2,074	1,585
65	1,886	2,046	1,717	1,752	2,025	1,500
64	1,784	1,953	1,609	1,679	1,965	1,415
63	1,689	1,862	1,510	1,606	1,901	1,337
62	1,598	1,773	1,420	1,540	1,839	1,269
61	1,493	1,666	1,319	1,482	1,782	1,211
60	1,426	1,596	1,254	1,431	1,730	1,162
59	1,327	1,491	1,163	1,384	1,679	1,116
58	1,255	1,411	1,098	1,339	1,629	1,072
57	1,182	1,332	1,032	1,292	1,575	1,026
56	1,123	1,266	980	1,242	1,519	978
55	1,067	1,204	927	1,190	1,459	929
54	1,014	1,144	881	1,137	1,397	881
53	962	1,084	836	1,085	1,337	835
52	915	1,030	797	1,037	1,279	795
51	857	966	747	994	1,223	760
50	820	921	716	954	1,171	731
49	765	859	669	918	1,120	707
48	721	807	631	883	1,071	686
47	676	757	593	850	1,022	668
46	638	712	561	818	974	652
45	605	673	534	786	928	635
44	569	631	505	755	884	619
43	539	596	481	724	842	601
42	513	565	459	695	804	581
41	482	529	434	667	770	560
40	461	506	416	639	738	538
39	434	474	393	613	708	515
38	411	448	373	587	680	492
37	387	422	352	562	653	470
36	367	399	334	538	626	449
35	347	377	316	515	600	429
34	326	355	296.8	493	575	410
33	308	336	280.5	471	551	392
32	292.4	319	265.8	450	527	374
31	275.1	301	249.1	429	504	355
30	264.4	288.9	239.4	408	481	335
29	250.5	274.3	226.3	386	458	314
28	238.5	262.8	213.9	363	434	291.3
27	227.6	252.1	202.6	339	410	266.7
26	216.8	242.3	190.8	314	384	241.5
25	206.9	234.1	179.3	289.1	358	217.1
24	197.6	225.7	169	264.7	331	195.1
23	188.3	217.3	158.7	241.4	304	176
22	178.5	207.8	148.7	219.2	276.6	159.6
21	168	196.6	138.8	198.1	249	145.6
20	158	184.2	131.3	177.8	221.4	133.1
19	146.1	170.3	121.4	158	194.2	121.2
18	133.5	155.1	111.4	138.5	167.7	108.8
17	117.2	133.7	100.4	119.5	142.6	96
16	101.9	113.8	89.7	101.4	119.6	82.9
15	88	96.3	79.6	85	99.4	70.2
14	76.3	82.8	69.7	70.7	82.4	58.8
13	68.1	73.3	62.8	58.9	68.7	49
12	63	68	58	49.7	58.1	41.1
11	60.8	65.6	55.9	43	50.5	35.3
10	61	65.2	56.6	38.7	45.8	31.6
9	63.5	67.8	59.1	37	43.9	30
8	68.7	73.3	64	37.9	45.2	30.6
7	76.9	81.7	72	42.2	50.2	34.1
6	87.5	91.9	82.9	51.2	60.6	41.7
5	104	107.7	100.1	67.2	79	55.4
4	135.6	139.5	131.7	95.3	110.3	80
3	186.3	189.4	183.1	141.9	161.3	121.7
2	269.7	269.8	269.5	218.6	243.8	192.5
1	433	425	441	343	375	310
0	2,669	2,985	2,347	2,192	2,441	1,934

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 77 in South Africa. The median age of death is 71.8 in the Congo and 70.8 in South Africa, 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 South Africa more than their death rates.

Life expectancy in other countries

+ -

1x