Life Expectancy in DR Congo vs Zimbabwe (1950-2026)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in the DR Congo vs Zimbabwe: 71 years vs 68.5 at 30, 78.6 vs 78.3 at 65, 85.9 vs 86.4 at 80 — significantly higher than the 62.4 vs 63.6 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in the DR Congo and Zimbabwe.

Table

Current age, years	Total life expectancy, years
	DR Congo			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	62.4	60.2	64.6	63.6	61	65.9
1	65.5	63.6	67.4	65.6	63.2	67.7
2	66	64.1	67.9	66	63.5	68.1
3	66.4	64.5	68.3	66.2	63.6	68.3
4	66.7	64.9	68.6	66.3	63.8	68.4
5	67	65.2	68.9	66.4	63.9	68.5
6	67.3	65.5	69.1	66.5	64	68.6
7	67.5	65.7	69.4	66.5	64	68.7
8	67.7	65.9	69.5	66.6	64.1	68.7
9	67.9	66.1	69.7	66.6	64.1	68.8
10	68	66.3	69.8	66.7	64.2	68.8
11	68.2	66.4	69.9	66.7	64.2	68.8
12	68.3	66.5	70	66.8	64.2	68.9
13	68.4	66.6	70.1	66.8	64.3	68.9
14	68.5	66.7	70.2	66.8	64.3	69
15	68.6	66.8	70.3	66.9	64.4	69
16	68.7	67	70.4	67	64.4	69.1
17	68.8	67.1	70.6	67	64.5	69.1
18	69	67.2	70.7	67.1	64.6	69.2
19	69.1	67.4	70.8	67.2	64.7	69.3
20	69.3	67.6	70.9	67.3	64.8	69.3
21	69.4	67.8	71.1	67.4	64.9	69.4
22	69.6	68	71.2	67.5	65	69.5
23	69.8	68.2	71.3	67.6	65.1	69.6
24	69.9	68.4	71.5	67.7	65.3	69.7
25	70.1	68.6	71.6	67.8	65.4	69.8
26	70.3	68.8	71.8	68	65.5	70
27	70.5	69	71.9	68.1	65.7	70.1
28	70.6	69.2	72	68.2	65.8	70.2
29	70.8	69.4	72.2	68.4	66	70.4
30	71	69.6	72.3	68.5	66.2	70.5
31	71.1	69.8	72.5	68.7	66.3	70.6
32	71.3	70	72.6	68.9	66.5	70.8
33	71.5	70.2	72.8	69	66.7	71
34	71.7	70.3	72.9	69.2	66.9	71.1
35	71.8	70.5	73.1	69.4	67.1	71.3
36	72	70.7	73.2	69.6	67.3	71.5
37	72.2	70.9	73.4	69.8	67.5	71.7
38	72.3	71.1	73.5	70	67.8	71.9
39	72.5	71.3	73.7	70.2	68	72
40	72.7	71.5	73.9	70.5	68.2	72.2
41	72.9	71.7	74	70.7	68.5	72.5
42	73.1	71.9	74.2	70.9	68.7	72.7
43	73.2	72.1	74.4	71.2	69	72.9
44	73.4	72.3	74.5	71.4	69.3	73.1
45	73.6	72.5	74.7	71.7	69.6	73.3
46	73.8	72.7	74.9	71.9	69.9	73.6
47	74	72.9	75.1	72.2	70.2	73.8
48	74.2	73.1	75.2	72.5	70.5	74
49	74.4	73.3	75.4	72.7	70.8	74.3
50	74.6	73.6	75.6	73	71.1	74.6
51	74.8	73.8	75.8	73.3	71.4	74.8
52	75	74.1	76	73.6	71.8	75.1
53	75.3	74.3	76.2	73.9	72.1	75.4
54	75.5	74.6	76.4	74.2	72.5	75.7
55	75.8	74.9	76.6	74.6	72.8	76
56	76	75.1	76.8	74.9	73.2	76.3
57	76.3	75.4	77.1	75.2	73.6	76.6
58	76.5	75.7	77.3	75.6	74	76.9
59	76.8	76	77.5	75.9	74.4	77.2
60	77.1	76.3	77.8	76.3	74.8	77.5
61	77.3	76.6	78	76.7	75.2	77.9
62	77.6	76.9	78.3	77.1	75.6	78.2
63	78	77.3	78.6	77.5	76.1	78.6
64	78.3	77.6	78.9	77.9	76.5	79
65	78.6	78	79.2	78.3	77	79.4
66	79	78.4	79.5	78.8	77.5	79.8
67	79.4	78.8	79.9	79.2	77.9	80.2
68	79.8	79.2	80.3	79.7	78.4	80.7
69	80.2	79.7	80.6	80.2	79	81.1
70	80.6	80.1	81	80.7	79.5	81.6
71	81.1	80.6	81.5	81.2	80	82.1
72	81.5	81.1	81.9	81.7	80.6	82.5
73	82	81.6	82.4	82.2	81.2	83
74	82.5	82.1	82.9	82.8	81.7	83.5
75	83	82.6	83.4	83.4	82.3	84.1
76	83.6	83.2	83.9	83.9	83	84.6
77	84.1	83.7	84.4	84.5	83.6	85.2
78	84.7	84.3	85	85.1	84.2	85.7
79	85.3	84.9	85.5	85.8	84.9	86.3
80	85.9	85.6	86.1	86.4	85.6	86.9
81	86.5	86.2	86.8	87	86.3	87.5
82	87.2	86.9	87.4	87.7	87	88.1
83	87.9	87.6	88.1	88.4	87.7	88.7
84	88.6	88.3	88.8	89	88.4	89.4
85	89.3	89	89.5	89.8	89.2	90.1
86	90	89.7	90.2	90.5	90	90.8
87	90.8	90.4	91	91.2	90.8	91.5
88	91.5	91.2	91.7	92	91.6	92.2
89	92.3	92	92.5	92.8	92.4	93
90	93.1	92.8	93.3	93.6	93.2	93.8
91	93.9	93.6	94	94.4	94	94.5
92	94.7	94.4	94.8	95.2	94.9	95.3
93	95.5	95.3	95.7	96	95.7	96.1
94	96.4	96.2	96.5	96.9	96.6	97
95	97.3	97	97.3	97.7	97.5	97.8
96	98.1	97.9	98.2	98.6	98.4	98.7
97	99	98.8	99.1	99.5	99.2	99.5
98	99.9	99.8	100	100.4	100.1	100.4
99	100.8	100.7	100.9	101.2	101	101.3
100	101.8	101.7	101.8	102.2	101.9	102.2

Odds of living to age in DR Congo vs Zimbabwe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 68% in the DR Congo and 66.2% in Zimbabwe are expected to survive till at least 60 years old, 52% and 47.3% will live to 70 years or older, 26.3% and 23.5% to 80+ years, and 4.61% and 4.99% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	DR Congo			Zimbabwe
	Average	Male	Female	Average	Male	Female
1	95.3%	94.7%	95.8%	96.9%	96.6%	97.3%
2	94.6%	94%	95.1%	96.5%	96.1%	96.8%
3	93.9%	93.3%	94.5%	96.2%	95.8%	96.5%
4	93.4%	92.8%	94.1%	95.9%	95.6%	96.3%
5	92.9%	92.3%	93.6%	95.8%	95.5%	96.1%
6	92.5%	91.8%	93.3%	95.7%	95.3%	96%
7	92.2%	91.5%	92.9%	95.6%	95.2%	95.9%
8	91.9%	91.1%	92.7%	95.5%	95.1%	95.8%
9	91.6%	90.9%	92.4%	95.4%	95.1%	95.8%
10	91.4%	90.6%	92.2%	95.3%	95%	95.7%
11	91.2%	90.4%	92.1%	95.3%	94.9%	95.6%
12	91.1%	90.2%	91.9%	95.2%	94.8%	95.6%
13	90.9%	90%	91.7%	95.1%	94.8%	95.5%
14	90.7%	89.9%	91.6%	95%	94.7%	95.4%
15	90.5%	89.7%	91.4%	94.9%	94.6%	95.3%
16	90.3%	89.5%	91.2%	94.8%	94.5%	95.2%
17	90.1%	89.2%	91.1%	94.7%	94.3%	95.1%
18	89.9%	88.9%	90.9%	94.6%	94.2%	95%
19	89.6%	88.6%	90.6%	94.4%	94%	94.9%
20	89.3%	88.3%	90.4%	94.2%	93.8%	94.7%
21	89%	87.9%	90.2%	94%	93.5%	94.5%
22	88.7%	87.5%	89.9%	93.8%	93.3%	94.4%
23	88.4%	87.1%	89.7%	93.6%	93%	94.2%
24	88.1%	86.7%	89.4%	93.3%	92.7%	93.9%
25	87.7%	86.3%	89.1%	93.1%	92.4%	93.7%
26	87.4%	85.9%	88.9%	92.8%	92.1%	93.5%
27	87.1%	85.5%	88.6%	92.5%	91.7%	93.2%
28	86.7%	85.1%	88.3%	92.1%	91.4%	92.9%
29	86.4%	84.8%	88%	91.8%	91%	92.6%
30	86%	84.4%	87.7%	91.4%	90.6%	92.3%
31	85.6%	83.9%	87.4%	91.1%	90.1%	91.9%
32	85.3%	83.5%	87.1%	90.7%	89.7%	91.6%
33	84.9%	83.1%	86.7%	90.2%	89.2%	91.2%
34	84.5%	82.7%	86.4%	89.8%	88.7%	90.8%
35	84.1%	82.3%	86.1%	89.3%	88.1%	90.4%
36	83.8%	81.8%	85.7%	88.8%	87.5%	89.9%
37	83.4%	81.4%	85.4%	88.2%	86.9%	89.5%
38	83%	80.9%	85%	87.7%	86.3%	89%
39	82.5%	80.5%	84.6%	87.1%	85.6%	88.4%
40	82.1%	80%	84.2%	86.4%	84.9%	87.9%
41	81.6%	79.5%	83.8%	85.8%	84.1%	87.3%
42	81.2%	79%	83.4%	85.1%	83.3%	86.7%
43	80.7%	78.4%	82.9%	84.4%	82.5%	86.1%
44	80.1%	77.9%	82.5%	83.6%	81.6%	85.5%
45	79.6%	77.3%	82%	82.9%	80.7%	84.8%
46	79.1%	76.7%	81.5%	82%	79.7%	84.1%
47	78.5%	76.1%	81%	81.2%	78.7%	83.4%
48	78%	75.4%	80.5%	80.3%	77.7%	82.6%
49	77.4%	74.8%	80%	79.4%	76.6%	81.8%
50	76.7%	74.1%	79.5%	78.4%	75.4%	81%
51	76%	73.3%	78.9%	77.4%	74.2%	80.1%
52	75.3%	72.5%	78.2%	76.3%	73%	79.1%
53	74.5%	71.6%	77.5%	75.2%	71.7%	78.2%
54	73.7%	70.7%	76.8%	74.1%	70.3%	77.2%
55	72.9%	69.8%	76.1%	72.9%	69%	76.1%
56	72%	68.8%	75.3%	71.7%	67.5%	75%
57	71.1%	67.8%	74.5%	70.4%	66%	73.9%
58	70.1%	66.7%	73.6%	69.1%	64.5%	72.7%
59	69.1%	65.6%	72.7%	67.6%	62.9%	71.4%
60	68%	64.4%	71.7%	66.2%	61.2%	70.1%
61	66.9%	63.2%	70.6%	64.6%	59.5%	68.7%
62	65.6%	61.8%	69.5%	63%	57.7%	67.2%
63	64.3%	60.3%	68.3%	61.2%	55.8%	65.7%
64	62.8%	58.8%	66.9%	59.5%	53.8%	64%
65	61.3%	57.2%	65.4%	57.6%	51.8%	62.3%
66	59.6%	55.4%	63.9%	55.6%	49.7%	60.5%
67	57.9%	53.6%	62.2%	53.6%	47.6%	58.6%
68	56%	51.7%	60.4%	51.6%	45.4%	56.7%
69	54.1%	49.7%	58.5%	49.5%	43.2%	54.7%
70	52%	47.6%	56.5%	47.3%	40.9%	52.6%
71	49.8%	45.4%	54.3%	45.1%	38.6%	50.4%
72	47.5%	43.1%	52%	42.8%	36.3%	48.2%
73	45.1%	40.8%	49.6%	40.4%	33.9%	45.9%
74	42.6%	38.3%	47%	38%	31.4%	43.6%
75	40%	35.7%	44.4%	35.6%	29%	41.2%
76	37.3%	33.2%	41.6%	33.2%	26.6%	38.7%
77	34.6%	30.5%	38.8%	30.7%	24.3%	36.3%
78	31.9%	27.9%	35.9%	28.3%	21.9%	33.8%
79	29.1%	25.3%	33%	25.9%	19.7%	31.3%
80	26.3%	22.6%	30%	23.5%	17.5%	28.8%
81	23.5%	20.1%	27%	21.2%	15.4%	26.4%
82	20.8%	17.6%	24%	19%	13.4%	24%
83	18.2%	15.2%	21.2%	16.8%	11.5%	21.5%
84	15.7%	13%	18.4%	14.7%	9.78%	19.1%
85	13.3%	10.9%	15.8%	12.7%	8.2%	16.8%
86	11.2%	9.03%	13.3%	10.8%	6.78%	14.5%
87	9.2%	7.33%	11.1%	9.1%	5.53%	12.4%
88	7.45%	5.83%	9.1%	7.56%	4.44%	10.5%
89	5.92%	4.52%	7.34%	6.18%	3.51%	8.72%
90	4.61%	3.42%	5.82%	4.99%	2.73%	7.15%
91	3.52%	2.51%	4.53%	3.95%	2.09%	5.75%
92	2.62%	1.79%	3.45%	3.08%	1.57%	4.57%
93	1.9%	1.24%	2.56%	2.36%	1.15%	3.55%
94	1.34%	0.83%	1.85%	1.77%	0.83%	2.71%
95	0.92%	0.54%	1.3%	1.3%	0.59%	2.02%
96	0.61%	0.34%	0.88%	0.94%	0.4%	1.47%
97	0.4%	0.21%	0.58%	0.66%	0.27%	1.05%
98	0.25%	0.13%	0.37%	0.46%	0.18%	0.73%
99	0.15%	0.07%	0.23%	0.31%	0.12%	0.5%
100	0.09%	0.04%	0.14%	0.2%	0.07%	0.33%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 4.74% in the birth year in the DR Congo and 3.05% in Zimbabwe, 0.42% vs 0.42% at age 30, 1.71% vs 2.37% at 60, and 10.5% vs 9.89% at 80.

Below is a graph displaying the probabilities of dying in the DR Congo compared to Zimbabwe at any given age.

Table

Age	Probability of dying
	DR Congo			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	4.74%	5.25%	4.22%	3.05%	3.4%	2.7%
1	0.74%	0.79%	0.69%	0.5%	0.48%	0.52%
2	0.65%	0.69%	0.6%	0.32%	0.32%	0.32%
3	0.57%	0.61%	0.52%	0.22%	0.22%	0.22%
4	0.5%	0.54%	0.46%	0.16%	0.17%	0.16%
5	0.43%	0.47%	0.4%	0.12%	0.13%	0.12%
6	0.37%	0.41%	0.34%	0.1%	0.11%	0.1%
7	0.32%	0.35%	0.29%	0.09%	0.1%	0.09%
8	0.28%	0.3%	0.25%	0.08%	0.09%	0.08%
9	0.24%	0.26%	0.22%	0.08%	0.08%	0.07%
10	0.21%	0.23%	0.19%	0.07%	0.08%	0.07%
11	0.19%	0.21%	0.18%	0.07%	0.08%	0.07%
12	0.19%	0.2%	0.17%	0.08%	0.08%	0.07%
13	0.19%	0.21%	0.17%	0.08%	0.09%	0.08%
14	0.2%	0.22%	0.18%	0.1%	0.1%	0.09%
15	0.22%	0.24%	0.19%	0.11%	0.12%	0.1%
16	0.24%	0.27%	0.21%	0.13%	0.14%	0.12%
17	0.26%	0.31%	0.22%	0.15%	0.17%	0.13%
18	0.29%	0.34%	0.24%	0.17%	0.2%	0.15%
19	0.32%	0.38%	0.25%	0.19%	0.22%	0.16%
20	0.34%	0.41%	0.26%	0.21%	0.25%	0.18%
21	0.35%	0.44%	0.27%	0.23%	0.27%	0.19%
22	0.37%	0.45%	0.28%	0.25%	0.29%	0.21%
23	0.37%	0.46%	0.29%	0.27%	0.31%	0.23%
24	0.38%	0.46%	0.3%	0.29%	0.33%	0.25%
25	0.38%	0.46%	0.31%	0.31%	0.35%	0.26%
26	0.39%	0.46%	0.32%	0.33%	0.37%	0.29%
27	0.4%	0.46%	0.33%	0.35%	0.4%	0.31%
28	0.4%	0.47%	0.34%	0.37%	0.42%	0.33%
29	0.41%	0.47%	0.35%	0.4%	0.45%	0.35%
30	0.42%	0.48%	0.36%	0.42%	0.48%	0.37%
31	0.43%	0.49%	0.36%	0.44%	0.51%	0.39%
32	0.44%	0.5%	0.37%	0.47%	0.54%	0.41%
33	0.44%	0.51%	0.38%	0.5%	0.58%	0.44%
34	0.45%	0.52%	0.39%	0.54%	0.62%	0.47%
35	0.46%	0.53%	0.4%	0.57%	0.66%	0.5%
36	0.47%	0.54%	0.41%	0.61%	0.71%	0.53%
37	0.49%	0.56%	0.43%	0.64%	0.75%	0.55%
38	0.51%	0.58%	0.45%	0.68%	0.8%	0.59%
39	0.54%	0.6%	0.47%	0.72%	0.85%	0.62%
40	0.56%	0.63%	0.5%	0.76%	0.9%	0.65%
41	0.59%	0.66%	0.52%	0.8%	0.95%	0.68%
42	0.61%	0.69%	0.54%	0.84%	1%	0.71%
43	0.63%	0.71%	0.56%	0.89%	1.06%	0.75%
44	0.65%	0.74%	0.57%	0.93%	1.12%	0.78%
45	0.67%	0.76%	0.58%	0.99%	1.19%	0.83%
46	0.69%	0.8%	0.6%	1.04%	1.25%	0.87%
47	0.73%	0.84%	0.62%	1.09%	1.33%	0.92%
48	0.77%	0.89%	0.65%	1.16%	1.41%	0.98%
49	0.83%	0.96%	0.7%	1.22%	1.5%	1.03%
50	0.89%	1.04%	0.75%	1.3%	1.6%	1.1%
51	0.96%	1.12%	0.81%	1.36%	1.68%	1.15%
52	1.03%	1.2%	0.87%	1.44%	1.78%	1.23%
53	1.09%	1.27%	0.92%	1.52%	1.87%	1.29%
54	1.15%	1.33%	0.98%	1.6%	1.97%	1.36%
55	1.21%	1.4%	1.03%	1.69%	2.09%	1.44%
56	1.27%	1.47%	1.09%	1.79%	2.2%	1.53%
57	1.35%	1.56%	1.16%	1.91%	2.33%	1.62%
58	1.45%	1.67%	1.24%	2.04%	2.48%	1.73%
59	1.57%	1.8%	1.35%	2.19%	2.65%	1.85%
60	1.71%	1.96%	1.48%	2.37%	2.87%	1.99%
61	1.88%	2.15%	1.63%	2.53%	3.04%	2.13%
62	2.06%	2.35%	1.8%	2.73%	3.28%	2.31%
63	2.25%	2.56%	1.98%	2.92%	3.5%	2.49%
64	2.46%	2.78%	2.17%	3.14%	3.74%	2.7%
65	2.68%	3.02%	2.38%	3.38%	4.01%	2.93%
66	2.92%	3.27%	2.61%	3.58%	4.26%	3.1%
67	3.18%	3.54%	2.87%	3.82%	4.56%	3.31%
68	3.48%	3.86%	3.16%	4.09%	4.9%	3.54%
69	3.82%	4.21%	3.48%	4.38%	5.25%	3.78%
70	4.2%	4.61%	3.85%	4.75%	5.7%	4.11%
71	4.62%	5.05%	4.25%	5.06%	6.09%	4.37%
72	5.07%	5.54%	4.68%	5.51%	6.62%	4.76%
73	5.57%	6.06%	5.15%	5.92%	7.12%	5.11%
74	6.1%	6.63%	5.65%	6.38%	7.68%	5.51%
75	6.67%	7.24%	6.2%	6.87%	8.28%	5.94%
76	7.3%	7.91%	6.79%	7.37%	8.9%	6.37%
77	7.99%	8.65%	7.46%	7.89%	9.57%	6.81%
78	8.76%	9.47%	8.2%	8.54%	10.4%	7.38%
79	9.61%	10.4%	9.03%	9.11%	11.1%	7.87%
80	10.5%	11.3%	9.95%	9.89%	12.1%	8.58%
81	11.6%	12.4%	10.9%	10.5%	12.9%	9.17%
82	12.6%	13.5%	12%	11.6%	14%	10.2%
83	13.8%	14.7%	13.1%	12.5%	15%	11.2%
84	15%	15.9%	14.3%	13.6%	16.2%	12.3%
85	16.2%	17.3%	15.5%	14.7%	17.3%	13.3%
86	17.6%	18.8%	16.7%	15.8%	18.5%	14.5%
87	19%	20.5%	18%	16.9%	19.7%	15.6%
88	20.5%	22.4%	19.3%	18.2%	20.9%	16.8%
89	22.1%	24.4%	20.7%	19.3%	22.2%	18%
90	23.8%	26.5%	22.2%	20.9%	23.7%	19.6%
91	25.6%	28.7%	23.9%	21.9%	24.9%	20.6%
92	27.4%	30.8%	25.7%	23.5%	26.4%	22.2%
93	29.4%	32.9%	27.7%	24.9%	27.9%	23.7%
94	31.3%	34.8%	29.8%	26.4%	29.5%	25.4%
95	33.4%	36.7%	32%	28.1%	31%	27.1%
96	35.4%	38.6%	34.1%	29.6%	32.5%	28.7%
97	37.3%	40.6%	36.2%	31.1%	33.9%	30.2%
98	39.2%	42.6%	38.2%	32.4%	35.2%	31.7%
99	41%	44.6%	40%	34.3%	36.9%	33.6%
100	43%	46.5%	42.1%	35.7%	38.2%	35%

Death rate by age in the DR Congo compared to Zimbabwe

In the DR Congo, the most common age of death is 0, compared to 0 in Zimbabwe. The median age of death is 70.9 in the DR Congo and 68.8 in Zimbabwe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	DR Congo			Zimbabwe
	Total	Male	Female	Total	Male	Female
0	4,741	5,250	4,223	3,053	3,402	2,699
1	706	750	662	484	463	505
2	612	653	570	308	305	311
3	534	573	494	211.7	213.4	209.9
4	466	502	429	153.9	157.9	149.8
5	404	436	370	116.6	119.9	113.1
6	347	376	317	98.5	103	94
7	296.1	321	270.8	87.5	92.4	82.5
8	252.8	273.8	231.4	78.6	83.3	73.8
9	218	235.8	199.9	72.9	76.9	68.8
10	192.5	207.9	176.9	70.4	74.5	66.2
11	176.5	190.4	162.3	70.9	76.1	65.5
12	169.3	182.8	155.5	73.9	79.4	68.4
13	170.6	184.9	156	80.4	85.9	74.8
14	179.5	196.1	162.6	90.9	97.8	83.9
15	195	215.6	174.2	106.1	114.9	97.1
16	215.6	241.9	188.8	122.8	135.4	110
17	238.7	272.7	204.2	143.2	161.3	124.9
18	262.3	306	218.4	164.9	188.9	140.6
19	283.9	337	229.9	182.4	209.2	155.3
20	302	364	238.6	200.4	229.9	170.6
21	315	384	245.4	216.1	249.9	182.2
22	325	397	251.5	234.1	270.1	198.3
23	331	402	258	251.5	289	214.4
24	335	403	265.4	268.5	307	231.1
25	338	400	273.8	286.4	326	248.2
26	341	398	282.8	304	344	267.1
27	345	397	291.6	324	365	286.2
28	350	398	299.9	343	387	303
29	355	401	307	363	409	323
30	361	407	313	385	436	341
31	366	412	319	403	458	356
32	371	418	323	428	487	379
33	376	423	328	453	517	400
34	381	428	333	481	550	423
35	388	434	340	512	586	450
36	396	441	350	539	619	473
37	408	452	363	568	655	496
38	424	466	380	599	691	522
39	442	484	398	627	725	545
40	461	503	418	659	766	571
41	480	523	436	685	795	592
42	496	541	450	717	834	617
43	510	558	461	747	871	642
44	522	573	469	779	911	669
45	534	590	476	816	958	702
46	550	611	487	850	1,000	731
47	572	638	503	888	1,046	766
48	602	674	527	929	1,096	806
49	639	718	559	969	1,146	846
50	683	768	597	1,018	1,207	892
51	729	818	639	1,050	1,245	925
52	774	866	680	1,100	1,298	971
53	813	907	717	1,140	1,342	1,009
54	848	943	751	1,184	1,389	1,052
55	881	976	784	1,233	1,440	1,097
56	916	1,011	819	1,284	1,485	1,146
57	959	1,055	862	1,341	1,537	1,197
58	1,014	1,111	915	1,411	1,599	1,257
59	1,082	1,181	982	1,481	1,664	1,318
60	1,164	1,265	1,061	1,571	1,756	1,398
61	1,254	1,356	1,151	1,632	1,809	1,463
62	1,350	1,452	1,248	1,718	1,890	1,553
63	1,448	1,546	1,349	1,790	1,952	1,636
64	1,545	1,637	1,452	1,866	2,014	1,726
65	1,642	1,725	1,559	1,945	2,075	1,824
66	1,741	1,811	1,668	1,993	2,121	1,875
67	1,843	1,901	1,784	2,050	2,172	1,938
68	1,952	1,995	1,907	2,111	2,224	2,007
69	2,067	2,094	2,038	2,166	2,269	2,069
70	2,185	2,196	2,173	2,250	2,336	2,164
71	2,302	2,296	2,307	2,281	2,352	2,203
72	2,412	2,389	2,435	2,356	2,400	2,294
73	2,511	2,470	2,552	2,393	2,412	2,346
74	2,597	2,537	2,657	2,427	2,414	2,401
75	2,669	2,589	2,749	2,448	2,404	2,446
76	2,724	2,624	2,827	2,444	2,370	2,468
77	2,766	2,642	2,893	2,424	2,321	2,470
78	2,791	2,641	2,945	2,416	2,272	2,497
79	2,794	2,617	2,977	2,358	2,186	2,465
80	2,771	2,565	2,983	2,328	2,113	2,474
81	2,716	2,484	2,954	2,235	1,982	2,419
82	2,625	2,371	2,886	2,197	1,873	2,450
83	2,499	2,231	2,776	2,102	1,730	2,403
84	2,342	2,067	2,625	1,999	1,583	2,345
85	2,160	1,888	2,438	1,858	1,418	2,232
86	1,959	1,699	2,225	1,709	1,253	2,102
87	1,746	1,503	1,994	1,540	1,088	1,934
88	1,528	1,304	1,756	1,372	930	1,762
89	1,310	1,104	1,520	1,196	779	1,570
90	1,099	907	1,294	1,040	647	1,401
91	900	721	1,082	863	518	1,184
92	718	552	886	724	414	1,016
93	557	407	709	588	322	843
94	420	289.7	552	469	244.7	687
95	307	199.2	415	366	181.8	548
96	216.9	132.6	302	277.6	131.3	423
97	148	85.4	210.7	205	92.4	318
98	97.5	53.2	141.6	147.6	63.5	232.4
99	62	32	91.8	105.4	43.2	168.4
100	0	0	0	24.9	0	53

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about the DR Congo and Zimbabwe demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• DR Congo vs Zimbabwe: Complete comparison

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size