Life Expectancy in Congo vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Congo

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Congo			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	102.2	101.9	102.2
99	101	101	101	101.2	101	101.3
98	100.1	100.2	100.1	100.4	100.1	100.4
97	99.2	99.3	99.1	99.5	99.2	99.5
96	98.3	98.4	98.2	98.6	98.4	98.7
95	97.4	97.5	97.4	97.7	97.5	97.8
94	96.6	96.7	96.5	96.9	96.6	97
93	95.7	95.8	95.7	96	95.7	96.1
92	94.9	94.9	94.8	95.2	94.9	95.3
91	94	94.1	94	94.4	94	94.5
90	93.2	93.3	93.2	93.6	93.2	93.8
89	92.4	92.5	92.4	92.8	92.4	93
88	91.6	91.6	91.6	92	91.6	92.2
87	90.9	90.9	90.9	91.2	90.8	91.5
86	90.1	90.1	90.1	90.5	90	90.8
85	89.3	89.3	89.4	89.8	89.2	90.1
84	88.6	88.5	88.7	89	88.4	89.4
83	87.9	87.8	88	88.4	87.7	88.7
82	87.2	87.1	87.3	87.7	87	88.1
81	86.5	86.4	86.7	87	86.3	87.5
80	85.9	85.7	86	86.4	85.6	86.9
79	85.2	85	85.4	85.8	84.9	86.3
78	84.6	84.3	84.8	85.1	84.2	85.7
77	84	83.7	84.3	84.5	83.6	85.2
76	83.4	83.1	83.7	83.9	83	84.6
75	82.9	82.5	83.2	83.4	82.3	84.1
74	82.3	81.9	82.7	82.8	81.7	83.5
73	81.8	81.3	82.2	82.2	81.2	83
72	81.3	80.8	81.7	81.7	80.6	82.5
71	80.8	80.3	81.3	81.2	80	82.1
70	80.3	79.8	80.8	80.7	79.5	81.6
69	79.9	79.3	80.4	80.2	79	81.1
68	79.5	78.8	80	79.7	78.4	80.7
67	79.1	78.4	79.7	79.2	77.9	80.2
66	78.7	77.9	79.3	78.8	77.5	79.8
65	78.3	77.5	79	78.3	77	79.4
64	77.9	77.1	78.6	77.9	76.5	79
63	77.6	76.7	78.3	77.5	76.1	78.6
62	77.2	76.4	78	77.1	75.6	78.2
61	76.9	76	77.7	76.7	75.2	77.9
60	76.6	75.6	77.4	76.3	74.8	77.5
59	76.3	75.3	77.2	75.9	74.4	77.2
58	76	75	76.9	75.6	74	76.9
57	75.7	74.7	76.7	75.2	73.6	76.6
56	75.4	74.4	76.4	74.9	73.2	76.3
55	75.1	74.1	76.2	74.6	72.8	76
54	74.9	73.8	75.9	74.2	72.5	75.7
53	74.6	73.5	75.7	73.9	72.1	75.4
52	74.4	73.2	75.5	73.6	71.8	75.1
51	74.1	73	75.3	73.3	71.4	74.8
50	73.9	72.7	75.1	73	71.1	74.6
49	73.7	72.5	74.9	72.7	70.8	74.3
48	73.5	72.2	74.7	72.5	70.5	74
47	73.3	72	74.5	72.2	70.2	73.8
46	73.1	71.8	74.3	71.9	69.9	73.6
45	72.9	71.6	74.1	71.7	69.6	73.3
44	72.7	71.4	74	71.4	69.3	73.1
43	72.5	71.2	73.8	71.2	69	72.9
42	72.3	71	73.7	70.9	68.7	72.7
41	72.2	70.9	73.5	70.7	68.5	72.5
40	72	70.7	73.3	70.5	68.2	72.2
39	71.9	70.5	73.2	70.2	68	72
38	71.7	70.4	73.1	70	67.8	71.9
37	71.6	70.2	72.9	69.8	67.5	71.7
36	71.4	70.1	72.8	69.6	67.3	71.5
35	71.3	69.9	72.7	69.4	67.1	71.3
34	71.2	69.8	72.5	69.2	66.9	71.1
33	71	69.6	72.4	69	66.7	71
32	70.9	69.5	72.3	68.9	66.5	70.8
31	70.8	69.4	72.2	68.7	66.3	70.6
30	70.7	69.3	72.1	68.5	66.2	70.5
29	70.6	69.1	72	68.4	66	70.4
28	70.5	69	71.9	68.2	65.8	70.2
27	70.3	68.9	71.8	68.1	65.7	70.1
26	70.2	68.8	71.7	68	65.5	70
25	70.1	68.7	71.6	67.8	65.4	69.8
24	70.1	68.6	71.5	67.7	65.3	69.7
23	70	68.5	71.5	67.6	65.1	69.6
22	69.9	68.4	71.4	67.5	65	69.5
21	69.8	68.3	71.3	67.4	64.9	69.4
20	69.7	68.2	71.2	67.3	64.8	69.3
19	69.6	68.1	71.2	67.2	64.7	69.3
18	69.6	68	71.1	67.1	64.6	69.2
17	69.5	68	71.1	67	64.5	69.1
16	69.4	67.9	71	67	64.4	69.1
15	69.4	67.8	71	66.9	64.4	69
14	69.3	67.8	70.9	66.8	64.3	69
13	69.3	67.8	70.9	66.8	64.3	68.9
12	69.3	67.7	70.8	66.8	64.2	68.9
11	69.2	67.7	70.8	66.7	64.2	68.8
10	69.2	67.6	70.8	66.7	64.2	68.8
9	69.2	67.6	70.7	66.6	64.1	68.8
8	69.1	67.5	70.7	66.6	64.1	68.7
7	69.1	67.5	70.6	66.5	64	68.7
6	69	67.4	70.6	66.5	64	68.6
5	68.9	67.4	70.5	66.4	63.9	68.5
4	68.8	67.3	70.4	66.3	63.8	68.4
3	68.7	67.2	70.3	66.2	63.6	68.3
2	68.5	67	70.1	66	63.5	68.1
1	68.2	66.7	69.8	65.6	63.2	67.7
0	66.4	64.7	68.2	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 the Congo can expect to live to 70.7 years compared to 68.5 in Zimbabwe, rising to 78.3 and 78.3 at 65, and to 85.9 and 86.4 at 80 — higher than the 66.4 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Congo

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Congo			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	0.12%	0.11%	0.13%	0.2%	0.07%	0.33%
99	0.19%	0.17%	0.22%	0.31%	0.12%	0.5%
98	0.3%	0.26%	0.35%	0.46%	0.18%	0.73%
97	0.46%	0.39%	0.54%	0.66%	0.27%	1.05%
96	0.69%	0.57%	0.82%	0.94%	0.4%	1.47%
95	1.01%	0.81%	1.2%	1.3%	0.59%	2.02%
94	1.43%	1.14%	1.72%	1.77%	0.83%	2.71%
93	1.98%	1.57%	2.4%	2.36%	1.15%	3.55%
92	2.68%	2.12%	3.27%	3.08%	1.57%	4.57%
91	3.55%	2.8%	4.34%	3.95%	2.09%	5.75%
90	4.63%	3.64%	5.65%	4.99%	2.73%	7.15%
89	5.9%	4.65%	7.2%	6.18%	3.51%	8.72%
88	7.39%	5.84%	9%	7.56%	4.44%	10.5%
87	9.11%	7.23%	11.1%	9.1%	5.53%	12.4%
86	11%	8.81%	13.3%	10.8%	6.78%	14.5%
85	13.2%	10.6%	15.9%	12.7%	8.2%	16.8%
84	15.5%	12.6%	18.6%	14.7%	9.78%	19.1%
83	18.1%	14.8%	21.5%	16.8%	11.5%	21.5%
82	20.7%	17.1%	24.5%	19%	13.4%	24%
81	23.5%	19.6%	27.5%	21.2%	15.4%	26.4%
80	26.4%	22.2%	30.7%	23.5%	17.5%	28.8%
79	29.3%	24.9%	33.8%	25.9%	19.7%	31.3%
78	32.3%	27.7%	37%	28.3%	21.9%	33.8%
77	35.3%	30.5%	40.1%	30.7%	24.3%	36.3%
76	38.2%	33.4%	43.2%	33.2%	26.6%	38.7%
75	41.2%	36.3%	46.2%	35.6%	29%	41.2%
74	44%	39.1%	49%	38%	31.4%	43.6%
73	46.8%	41.9%	51.8%	40.4%	33.9%	45.9%
72	49.5%	44.7%	54.4%	42.8%	36.3%	48.2%
71	52.1%	47.3%	56.9%	45.1%	38.6%	50.4%
70	54.5%	49.9%	59.3%	47.3%	40.9%	52.6%
69	56.9%	52.4%	61.5%	49.5%	43.2%	54.7%
68	59.1%	54.8%	63.5%	51.6%	45.4%	56.7%
67	61.2%	57%	65.5%	53.6%	47.6%	58.6%
66	63.2%	59.1%	67.3%	55.6%	49.7%	60.5%
65	65.1%	61.2%	69%	57.6%	51.8%	62.3%
64	66.9%	63.1%	70.6%	59.5%	53.8%	64%
63	68.5%	65%	72.1%	61.2%	55.8%	65.7%
62	70.1%	66.8%	73.6%	63%	57.7%	67.2%
61	71.6%	68.4%	74.9%	64.6%	59.5%	68.7%
60	73.1%	70%	76.1%	66.2%	61.2%	70.1%
59	74.4%	71.5%	77.3%	67.6%	62.9%	71.4%
58	75.6%	72.9%	78.4%	69.1%	64.5%	72.7%
57	76.8%	74.3%	79.4%	70.4%	66%	73.9%
56	77.9%	75.5%	80.4%	71.7%	67.5%	75%
55	79%	76.7%	81.3%	72.9%	69%	76.1%
54	80%	77.9%	82.2%	74.1%	70.3%	77.2%
53	81%	79%	83%	75.2%	71.7%	78.2%
52	81.9%	80%	83.8%	76.3%	73%	79.1%
51	82.8%	81%	84.6%	77.4%	74.2%	80.1%
50	83.6%	81.9%	85.3%	78.4%	75.4%	81%
49	84.3%	82.8%	86%	79.4%	76.6%	81.8%
48	85.1%	83.6%	86.6%	80.3%	77.7%	82.6%
47	85.7%	84.3%	87.2%	81.2%	78.7%	83.4%
46	86.4%	85%	87.8%	82%	79.7%	84.1%
45	87%	85.7%	88.3%	82.9%	80.7%	84.8%
44	87.6%	86.3%	88.8%	83.6%	81.6%	85.5%
43	88.1%	86.9%	89.3%	84.4%	82.5%	86.1%
42	88.6%	87.5%	89.7%	85.1%	83.3%	86.7%
41	89.1%	88%	90.2%	85.8%	84.1%	87.3%
40	89.5%	88.5%	90.6%	86.4%	84.9%	87.9%
39	90%	89%	91%	87.1%	85.6%	88.4%
38	90.4%	89.5%	91.4%	87.7%	86.3%	89%
37	90.8%	89.9%	91.7%	88.2%	86.9%	89.5%
36	91.1%	90.3%	92%	88.8%	87.5%	89.9%
35	91.5%	90.6%	92.4%	89.3%	88.1%	90.4%
34	91.8%	91%	92.6%	89.8%	88.7%	90.8%
33	92.1%	91.3%	92.9%	90.2%	89.2%	91.2%
32	92.4%	91.7%	93.2%	90.7%	89.7%	91.6%
31	92.7%	92%	93.4%	91.1%	90.1%	91.9%
30	93%	92.2%	93.7%	91.4%	90.6%	92.3%
29	93.2%	92.5%	93.9%	91.8%	91%	92.6%
28	93.4%	92.8%	94.1%	92.1%	91.4%	92.9%
27	93.7%	93%	94.3%	92.5%	91.7%	93.2%
26	93.9%	93.3%	94.5%	92.8%	92.1%	93.5%
25	94.1%	93.5%	94.7%	93.1%	92.4%	93.7%
24	94.3%	93.7%	94.9%	93.3%	92.7%	93.9%
23	94.5%	94%	95%	93.6%	93%	94.2%
22	94.7%	94.2%	95.2%	93.8%	93.3%	94.4%
21	94.8%	94.4%	95.3%	94%	93.5%	94.5%
20	95%	94.5%	95.4%	94.2%	93.8%	94.7%
19	95.1%	94.7%	95.6%	94.4%	94%	94.9%
18	95.3%	94.9%	95.7%	94.6%	94.2%	95%
17	95.4%	95%	95.8%	94.7%	94.3%	95.1%
16	95.5%	95.1%	95.9%	94.8%	94.5%	95.2%
15	95.6%	95.2%	95.9%	94.9%	94.6%	95.3%
14	95.7%	95.3%	96%	95%	94.7%	95.4%
13	95.7%	95.4%	96.1%	95.1%	94.8%	95.5%
12	95.8%	95.4%	96.1%	95.2%	94.8%	95.6%
11	95.8%	95.5%	96.2%	95.3%	94.9%	95.6%
10	95.9%	95.6%	96.2%	95.3%	95%	95.7%
9	96%	95.6%	96.3%	95.4%	95.1%	95.8%
8	96%	95.7%	96.4%	95.5%	95.1%	95.8%
7	96.1%	95.8%	96.4%	95.6%	95.2%	95.9%
6	96.2%	95.9%	96.5%	95.7%	95.3%	96%
5	96.3%	96%	96.6%	95.8%	95.5%	96.1%
4	96.4%	96.1%	96.8%	95.9%	95.6%	96.3%
3	96.6%	96.3%	96.9%	96.2%	95.8%	96.5%
2	96.9%	96.6%	97.2%	96.5%	96.1%	96.8%
1	97.3%	97%	97.7%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 73.1% of newborns in the Congo and 66.2% in Zimbabwe are expected to live past 60, 54.5% and 47.3% past 70, 26.4% and 23.5% past 80, and only 4.63% 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

Congo

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Congo			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	39.6%	37.4%	41.1%	35.7%	38.2%	35%
99	38%	36.1%	39.4%	34.3%	36.9%	33.6%
98	36.2%	34.3%	37.4%	32.4%	35.2%	31.7%
97	34.6%	33.1%	35.6%	31.1%	33.9%	30.2%
96	33%	31.7%	33.8%	29.6%	32.5%	28.7%
95	31.3%	30.3%	32%	28.1%	31%	27.1%
94	29.6%	28.8%	30.1%	26.4%	29.5%	25.4%
93	27.9%	27.3%	28.2%	24.9%	27.9%	23.7%
92	26.2%	25.8%	26.5%	23.5%	26.4%	22.2%
91	24.5%	24.3%	24.7%	21.9%	24.9%	20.6%
90	23.2%	23.1%	23.2%	20.9%	23.7%	19.6%
89	21.6%	21.6%	21.5%	19.3%	22.2%	18%
88	20.2%	20.4%	20%	18.2%	20.9%	16.8%
87	18.8%	19.2%	18.6%	16.9%	19.7%	15.6%
86	17.6%	18%	17.2%	15.8%	18.5%	14.5%
85	16.3%	16.9%	15.9%	14.7%	17.3%	13.3%
84	15.1%	15.8%	14.6%	13.6%	16.2%	12.3%
83	13.9%	14.7%	13.4%	12.5%	15%	11.2%
82	12.9%	13.7%	12.3%	11.6%	14%	10.2%
81	11.8%	12.6%	11.2%	10.5%	12.9%	9.17%
80	11%	11.8%	10.3%	9.89%	12.1%	8.58%
79	9.99%	10.9%	9.34%	9.11%	11.1%	7.87%
78	9.21%	10.1%	8.55%	8.54%	10.4%	7.38%
77	8.41%	9.26%	7.75%	7.89%	9.57%	6.81%
76	7.74%	8.57%	7.08%	7.37%	8.9%	6.37%
75	7.11%	7.91%	6.46%	6.87%	8.28%	5.94%
74	6.5%	7.28%	5.86%	6.38%	7.68%	5.51%
73	5.94%	6.7%	5.32%	5.92%	7.12%	5.11%
72	5.43%	6.16%	4.84%	5.51%	6.62%	4.76%
71	4.91%	5.6%	4.34%	5.06%	6.09%	4.37%
70	4.54%	5.18%	3.99%	4.75%	5.7%	4.11%
69	4.1%	4.7%	3.58%	4.38%	5.25%	3.78%
68	3.76%	4.32%	3.27%	4.09%	4.9%	3.54%
67	3.44%	3.95%	2.97%	3.82%	4.56%	3.31%
66	3.14%	3.62%	2.7%	3.58%	4.26%	3.1%
65	2.9%	3.34%	2.49%	3.38%	4.01%	2.93%
64	2.67%	3.09%	2.28%	3.14%	3.74%	2.7%
63	2.46%	2.86%	2.09%	2.92%	3.5%	2.49%
62	2.28%	2.65%	1.93%	2.73%	3.28%	2.31%
61	2.08%	2.43%	1.76%	2.53%	3.04%	2.13%
60	1.95%	2.28%	1.65%	2.37%	2.87%	1.99%
59	1.78%	2.08%	1.5%	2.19%	2.65%	1.85%
58	1.66%	1.93%	1.4%	2.04%	2.48%	1.73%
57	1.54%	1.79%	1.3%	1.91%	2.33%	1.62%
56	1.44%	1.68%	1.22%	1.79%	2.2%	1.53%
55	1.35%	1.57%	1.14%	1.69%	2.09%	1.44%
54	1.27%	1.47%	1.07%	1.6%	1.97%	1.36%
53	1.19%	1.37%	1.01%	1.52%	1.87%	1.29%
52	1.12%	1.29%	0.95%	1.44%	1.78%	1.23%
51	1.04%	1.19%	0.88%	1.36%	1.68%	1.15%
50	0.98%	1.12%	0.84%	1.3%	1.6%	1.1%
49	0.91%	1.04%	0.78%	1.22%	1.5%	1.03%
48	0.85%	0.97%	0.73%	1.16%	1.41%	0.98%
47	0.79%	0.9%	0.68%	1.09%	1.33%	0.92%
46	0.74%	0.84%	0.64%	1.04%	1.25%	0.87%
45	0.7%	0.79%	0.61%	0.99%	1.19%	0.83%
44	0.65%	0.73%	0.57%	0.93%	1.12%	0.78%
43	0.61%	0.69%	0.54%	0.89%	1.06%	0.75%
42	0.58%	0.65%	0.51%	0.84%	1%	0.71%
41	0.54%	0.6%	0.48%	0.8%	0.95%	0.68%
40	0.52%	0.57%	0.46%	0.76%	0.9%	0.65%
39	0.48%	0.53%	0.43%	0.72%	0.85%	0.62%
38	0.45%	0.5%	0.41%	0.68%	0.8%	0.59%
37	0.43%	0.47%	0.38%	0.64%	0.75%	0.55%
36	0.4%	0.44%	0.36%	0.61%	0.71%	0.53%
35	0.38%	0.42%	0.34%	0.57%	0.66%	0.5%
34	0.36%	0.39%	0.32%	0.54%	0.62%	0.47%
33	0.33%	0.37%	0.3%	0.5%	0.58%	0.44%
32	0.32%	0.35%	0.29%	0.47%	0.54%	0.41%
31	0.3%	0.33%	0.27%	0.44%	0.51%	0.39%
30	0.28%	0.31%	0.26%	0.42%	0.48%	0.37%
29	0.27%	0.3%	0.24%	0.4%	0.45%	0.35%
28	0.26%	0.28%	0.23%	0.37%	0.42%	0.33%
27	0.24%	0.27%	0.21%	0.35%	0.4%	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%	0.26%
24	0.21%	0.24%	0.18%	0.29%	0.33%	0.25%
23	0.2%	0.23%	0.17%	0.27%	0.31%	0.23%
22	0.19%	0.22%	0.16%	0.25%	0.29%	0.21%
21	0.18%	0.21%	0.15%	0.23%	0.27%	0.19%
20	0.17%	0.19%	0.14%	0.21%	0.25%	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%	0.12%
15	0.09%	0.1%	0.08%	0.11%	0.12%	0.1%
14	0.08%	0.09%	0.07%	0.1%	0.1%	0.09%
13	0.07%	0.08%	0.07%	0.08%	0.09%	0.08%
12	0.07%	0.07%	0.06%	0.08%	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%	0.08%	0.07%
9	0.07%	0.07%	0.06%	0.08%	0.08%	0.07%
8	0.07%	0.08%	0.07%	0.08%	0.09%	0.08%
7	0.08%	0.09%	0.07%	0.09%	0.1%	0.09%
6	0.09%	0.1%	0.09%	0.1%	0.11%	0.1%
5	0.11%	0.11%	0.1%	0.12%	0.13%	0.12%
4	0.14%	0.15%	0.14%	0.16%	0.17%	0.16%
3	0.19%	0.2%	0.19%	0.22%	0.22%	0.22%
2	0.28%	0.28%	0.28%	0.32%	0.32%	0.32%
1	0.44%	0.44%	0.45%	0.5%	0.48%	0.52%
0	2.67%	2.99%	2.35%	3.05%	3.4%	2.7%

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

The annual chance of dying is 2.67% in the birth year in the Congo and 3.05% in Zimbabwe, 0.28% vs 0.42% at age 30, 1.95% vs 2.37% at 60, and 11% vs 9.89% at 80.

Death rate by age in Congo vs Zimbabwe

Chart Table

Congo

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Congo			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	0	2.72	0	24.9	0	53
99	73.5	61.5	86.1	105.4	43.2	168.4
98	109.4	89.1	130.4	147.6	63.5	232.4
97	160.2	128.3	193.1	205	92.4	318
96	227.9	180.2	277	277.6	131.3	423
95	315	246.7	385	366	181.8	548
94	422	329	518	469	244.7	687
93	552	429	678	588	322	843
92	704	547	865	724	414	1,016
91	872	679	1,070	863	518	1,184
90	1,072	841	1,311	1,040	647	1,401
89	1,273	1,006	1,549	1,196	779	1,570
88	1,492	1,193	1,802	1,372	930	1,762
87	1,715	1,387	2,053	1,540	1,088	1,934
86	1,939	1,590	2,297	1,709	1,253	2,102
85	2,150	1,791	2,515	1,858	1,418	2,232
84	2,351	1,991	2,715	1,999	1,583	2,345
83	2,519	2,170	2,871	2,102	1,730	2,403
82	2,671	2,343	3,001	2,197	1,873	2,450
81	2,773	2,477	3,069	2,235	1,982	2,419
80	2,898	2,633	3,165	2,328	2,113	2,474
79	2,932	2,706	3,161	2,358	2,186	2,465
78	2,977	2,793	3,163	2,416	2,272	2,497
77	2,969	2,829	3,109	2,424	2,321	2,470
76	2,960	2,862	3,058	2,444	2,370	2,468
75	2,926	2,871	2,980	2,448	2,404	2,446
74	2,861	2,849	2,875	2,427	2,414	2,401
73	2,778	2,808	2,754	2,393	2,412	2,346
72	2,690	2,752	2,634	2,356	2,400	2,294
71	2,558	2,649	2,472	2,281	2,352	2,203
70	2,476	2,586	2,367	2,250	2,336	2,164
69	2,334	2,463	2,201	2,166	2,269	2,069
68	2,223	2,365	2,075	2,111	2,224	2,007
67	2,103	2,254	1,942	2,050	2,172	1,938
66	1,986	2,143	1,819	1,993	2,121	1,875
65	1,886	2,046	1,717	1,945	2,075	1,824
64	1,784	1,953	1,609	1,866	2,014	1,726
63	1,689	1,862	1,510	1,790	1,952	1,636
62	1,598	1,773	1,420	1,718	1,890	1,553
61	1,493	1,666	1,319	1,632	1,809	1,463
60	1,426	1,596	1,254	1,571	1,756	1,398
59	1,327	1,491	1,163	1,481	1,664	1,318
58	1,255	1,411	1,098	1,411	1,599	1,257
57	1,182	1,332	1,032	1,341	1,537	1,197
56	1,123	1,266	980	1,284	1,485	1,146
55	1,067	1,204	927	1,233	1,440	1,097
54	1,014	1,144	881	1,184	1,389	1,052
53	962	1,084	836	1,140	1,342	1,009
52	915	1,030	797	1,100	1,298	971
51	857	966	747	1,050	1,245	925
50	820	921	716	1,018	1,207	892
49	765	859	669	969	1,146	846
48	721	807	631	929	1,096	806
47	676	757	593	888	1,046	766
46	638	712	561	850	1,000	731
45	605	673	534	816	958	702
44	569	631	505	779	911	669
43	539	596	481	747	871	642
42	513	565	459	717	834	617
41	482	529	434	685	795	592
40	461	506	416	659	766	571
39	434	474	393	627	725	545
38	411	448	373	599	691	522
37	387	422	352	568	655	496
36	367	399	334	539	619	473
35	347	377	316	512	586	450
34	326	355	296.8	481	550	423
33	308	336	280.5	453	517	400
32	292.4	319	265.8	428	487	379
31	275.1	301	249.1	403	458	356
30	264.4	288.9	239.4	385	436	341
29	250.5	274.3	226.3	363	409	323
28	238.5	262.8	213.9	343	387	303
27	227.6	252.1	202.6	324	365	286.2
26	216.8	242.3	190.8	304	344	267.1
25	206.9	234.1	179.3	286.4	326	248.2
24	197.6	225.7	169	268.5	307	231.1
23	188.3	217.3	158.7	251.5	289	214.4
22	178.5	207.8	148.7	234.1	270.1	198.3
21	168	196.6	138.8	216.1	249.9	182.2
20	158	184.2	131.3	200.4	229.9	170.6
19	146.1	170.3	121.4	182.4	209.2	155.3
18	133.5	155.1	111.4	164.9	188.9	140.6
17	117.2	133.7	100.4	143.2	161.3	124.9
16	101.9	113.8	89.7	122.8	135.4	110
15	88	96.3	79.6	106.1	114.9	97.1
14	76.3	82.8	69.7	90.9	97.8	83.9
13	68.1	73.3	62.8	80.4	85.9	74.8
12	63	68	58	73.9	79.4	68.4
11	60.8	65.6	55.9	70.9	76.1	65.5
10	61	65.2	56.6	70.4	74.5	66.2
9	63.5	67.8	59.1	72.9	76.9	68.8
8	68.7	73.3	64	78.6	83.3	73.8
7	76.9	81.7	72	87.5	92.4	82.5
6	87.5	91.9	82.9	98.5	103	94
5	104	107.7	100.1	116.6	119.9	113.1
4	135.6	139.5	131.7	153.9	157.9	149.8
3	186.3	189.4	183.1	211.7	213.4	209.9
2	269.7	269.8	269.5	308	305	311
1	433	425	441	484	463	505
0	2,669	2,985	2,347	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 the Congo, the most common age of death is 78, compared to 0 in Zimbabwe. The median age of death is 71.8 in the Congo 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 the Congo and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x