Life Expectancy in DR Congo vs South Sudan (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 South Sudan: 71 years vs 69.1 at 30, 78.6 vs 78 at 65, 85.9 vs 85.6 at 80 — significantly higher than the 62.4 vs 58 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 South Sudan.

Table

Current age, years	Total life expectancy, years
	DR Congo			South Sudan
	Average	Male	Female	Average	Male	Female
0	62.4	60.2	64.6	58	55	61
1	65.5	63.6	67.4	61.8	58.9	64.7
2	66	64.1	67.9	62.5	59.5	65.5
3	66.4	64.5	68.3	63.1	60.1	66.1
4	66.7	64.9	68.6	63.6	60.6	66.6
5	67	65.2	68.9	64	61.1	67
6	67.3	65.5	69.1	64.4	61.5	67.3
7	67.5	65.7	69.4	64.7	61.8	67.6
8	67.7	65.9	69.5	65	62.1	67.8
9	67.9	66.1	69.7	65.2	62.4	68
10	68	66.3	69.8	65.4	62.6	68.2
11	68.2	66.4	69.9	65.5	62.8	68.3
12	68.3	66.5	70	65.7	62.9	68.4
13	68.4	66.6	70.1	65.8	63.1	68.5
14	68.5	66.7	70.2	66	63.2	68.7
15	68.6	66.8	70.3	66.1	63.4	68.8
16	68.7	67	70.4	66.3	63.5	68.9
17	68.8	67.1	70.6	66.4	63.7	69
18	69	67.2	70.7	66.6	63.9	69.2
19	69.1	67.4	70.8	66.8	64.1	69.3
20	69.3	67.6	70.9	67	64.4	69.5
21	69.4	67.8	71.1	67.2	64.6	69.6
22	69.6	68	71.2	67.4	64.9	69.8
23	69.8	68.2	71.3	67.6	65.1	70
24	69.9	68.4	71.5	67.8	65.4	70.1
25	70.1	68.6	71.6	68	65.7	70.3
26	70.3	68.8	71.8	68.3	65.9	70.4
27	70.5	69	71.9	68.5	66.2	70.6
28	70.6	69.2	72	68.7	66.5	70.8
29	70.8	69.4	72.2	68.9	66.7	71
30	71	69.6	72.3	69.1	67	71.1
31	71.1	69.8	72.5	69.3	67.2	71.3
32	71.3	70	72.6	69.5	67.4	71.5
33	71.5	70.2	72.8	69.8	67.7	71.7
34	71.7	70.3	72.9	70	67.9	71.8
35	71.8	70.5	73.1	70.2	68.2	72
36	72	70.7	73.2	70.4	68.4	72.2
37	72.2	70.9	73.4	70.6	68.6	72.4
38	72.3	71.1	73.5	70.8	68.9	72.5
39	72.5	71.3	73.7	71	69.1	72.7
40	72.7	71.5	73.9	71.2	69.4	72.9
41	72.9	71.7	74	71.5	69.6	73.1
42	73.1	71.9	74.2	71.7	69.9	73.3
43	73.2	72.1	74.4	71.9	70.1	73.5
44	73.4	72.3	74.5	72.1	70.4	73.7
45	73.6	72.5	74.7	72.4	70.6	73.9
46	73.8	72.7	74.9	72.6	70.9	74.1
47	74	72.9	75.1	72.8	71.2	74.3
48	74.2	73.1	75.2	73	71.4	74.4
49	74.4	73.3	75.4	73.3	71.7	74.6
50	74.6	73.6	75.6	73.5	72	74.8
51	74.8	73.8	75.8	73.8	72.3	75.1
52	75	74.1	76	74	72.6	75.3
53	75.3	74.3	76.2	74.3	72.9	75.5
54	75.5	74.6	76.4	74.5	73.2	75.7
55	75.8	74.9	76.6	74.8	73.5	76
56	76	75.1	76.8	75.1	73.8	76.2
57	76.3	75.4	77.1	75.4	74.1	76.4
58	76.5	75.7	77.3	75.7	74.5	76.7
59	76.8	76	77.5	76	74.8	76.9
60	77.1	76.3	77.8	76.3	75.1	77.2
61	77.3	76.6	78	76.6	75.5	77.5
62	77.6	76.9	78.3	76.9	75.9	77.8
63	78	77.3	78.6	77.3	76.3	78.1
64	78.3	77.6	78.9	77.6	76.7	78.4
65	78.6	78	79.2	78	77.1	78.7
66	79	78.4	79.5	78.4	77.5	79.1
67	79.4	78.8	79.9	78.8	77.9	79.5
68	79.8	79.2	80.3	79.2	78.4	79.8
69	80.2	79.7	80.6	79.7	78.9	80.2
70	80.6	80.1	81	80.1	79.3	80.7
71	81.1	80.6	81.5	80.6	79.8	81.1
72	81.5	81.1	81.9	81.1	80.4	81.6
73	82	81.6	82.4	81.6	80.9	82.1
74	82.5	82.1	82.9	82.1	81.5	82.6
75	83	82.6	83.4	82.6	82	83.1
76	83.6	83.2	83.9	83.2	82.6	83.6
77	84.1	83.7	84.4	83.8	83.2	84.2
78	84.7	84.3	85	84.4	83.8	84.7
79	85.3	84.9	85.5	85	84.5	85.3
80	85.9	85.6	86.1	85.6	85.1	85.9
81	86.5	86.2	86.8	86.3	85.8	86.6
82	87.2	86.9	87.4	87	86.5	87.2
83	87.9	87.6	88.1	87.7	87.2	87.9
84	88.6	88.3	88.8	88.4	87.9	88.6
85	89.3	89	89.5	89.1	88.7	89.4
86	90	89.7	90.2	89.9	89.4	90.1
87	90.8	90.4	91	90.6	90.2	90.8
88	91.5	91.2	91.7	91.4	91	91.6
89	92.3	92	92.5	92.2	91.8	92.4
90	93.1	92.8	93.3	93	92.6	93.2
91	93.9	93.6	94	93.8	93.4	94
92	94.7	94.4	94.8	94.7	94.2	94.8
93	95.5	95.3	95.7	95.5	95.1	95.6
94	96.4	96.2	96.5	96.3	96	96.4
95	97.3	97	97.3	97.2	96.9	97.3
96	98.1	97.9	98.2	98.1	97.8	98.1
97	99	98.8	99.1	98.9	98.7	99
98	99.9	99.8	100	99.8	99.6	99.9
99	100.8	100.7	100.9	100.7	100.6	100.8
100	101.8	101.7	101.8	101.7	101.6	101.8

Odds of living to age in DR Congo vs South Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 68% in the DR Congo and 61.1% in South Sudan are expected to survive till at least 60 years old, 52% and 45.1% will live to 70 years or older, 26.3% and 21.3% to 80+ years, and 4.61% and 3.37% 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			South Sudan
	Average	Male	Female	Average	Male	Female
1	95.3%	94.7%	95.8%	93.8%	93.3%	94.2%
2	94.6%	94%	95.1%	92.7%	92.3%	93.1%
3	93.9%	93.3%	94.5%	91.8%	91.4%	92.2%
4	93.4%	92.8%	94.1%	91%	90.6%	91.5%
5	92.9%	92.3%	93.6%	90.3%	89.8%	90.9%
6	92.5%	91.8%	93.3%	89.8%	89.2%	90.4%
7	92.2%	91.5%	92.9%	89.3%	88.6%	90%
8	91.9%	91.1%	92.7%	88.9%	88.2%	89.7%
9	91.6%	90.9%	92.4%	88.6%	87.8%	89.4%
10	91.4%	90.6%	92.2%	88.3%	87.4%	89.1%
11	91.2%	90.4%	92.1%	88%	87.1%	88.9%
12	91.1%	90.2%	91.9%	87.8%	86.8%	88.7%
13	90.9%	90%	91.7%	87.5%	86.6%	88.5%
14	90.7%	89.9%	91.6%	87.3%	86.3%	88.4%
15	90.5%	89.7%	91.4%	87.1%	86%	88.2%
16	90.3%	89.5%	91.2%	86.8%	85.7%	87.9%
17	90.1%	89.2%	91.1%	86.5%	85.4%	87.7%
18	89.9%	88.9%	90.9%	86.2%	85.1%	87.5%
19	89.6%	88.6%	90.6%	85.9%	84.7%	87.2%
20	89.3%	88.3%	90.4%	85.6%	84.2%	87%
21	89%	87.9%	90.2%	85.2%	83.7%	86.7%
22	88.7%	87.5%	89.9%	84.8%	83.2%	86.4%
23	88.4%	87.1%	89.7%	84.4%	82.7%	86.1%
24	88.1%	86.7%	89.4%	84%	82.2%	85.8%
25	87.7%	86.3%	89.1%	83.5%	81.6%	85.5%
26	87.4%	85.9%	88.9%	83.1%	81.1%	85.2%
27	87.1%	85.5%	88.6%	82.7%	80.6%	84.9%
28	86.7%	85.1%	88.3%	82.2%	80.1%	84.5%
29	86.4%	84.8%	88%	81.8%	79.5%	84.2%
30	86%	84.4%	87.7%	81.4%	79%	83.8%
31	85.6%	83.9%	87.4%	80.9%	78.5%	83.5%
32	85.3%	83.5%	87.1%	80.5%	77.9%	83.1%
33	84.9%	83.1%	86.7%	80%	77.4%	82.7%
34	84.5%	82.7%	86.4%	79.6%	76.9%	82.4%
35	84.1%	82.3%	86.1%	79.1%	76.3%	82%
36	83.8%	81.8%	85.7%	78.6%	75.8%	81.6%
37	83.4%	81.4%	85.4%	78.1%	75.2%	81.2%
38	83%	80.9%	85%	77.6%	74.6%	80.8%
39	82.5%	80.5%	84.6%	77.1%	74%	80.3%
40	82.1%	80%	84.2%	76.6%	73.4%	79.9%
41	81.6%	79.5%	83.8%	76.1%	72.8%	79.4%
42	81.2%	79%	83.4%	75.5%	72.1%	78.9%
43	80.7%	78.4%	82.9%	74.9%	71.5%	78.4%
44	80.1%	77.9%	82.5%	74.3%	70.8%	77.9%
45	79.6%	77.3%	82%	73.7%	70.1%	77.4%
46	79.1%	76.7%	81.5%	73.1%	69.4%	76.9%
47	78.5%	76.1%	81%	72.5%	68.6%	76.4%
48	78%	75.4%	80.5%	71.8%	67.9%	75.8%
49	77.4%	74.8%	80%	71.1%	67.1%	75.3%
50	76.7%	74.1%	79.5%	70.4%	66.3%	74.7%
51	76%	73.3%	78.9%	69.7%	65.4%	74%
52	75.3%	72.5%	78.2%	68.9%	64.5%	73.4%
53	74.5%	71.6%	77.5%	68%	63.5%	72.7%
54	73.7%	70.7%	76.8%	67.2%	62.5%	71.9%
55	72.9%	69.8%	76.1%	66.3%	61.5%	71.1%
56	72%	68.8%	75.3%	65.3%	60.4%	70.3%
57	71.1%	67.8%	74.5%	64.4%	59.3%	69.5%
58	70.1%	66.7%	73.6%	63.3%	58.2%	68.6%
59	69.1%	65.6%	72.7%	62.3%	57%	67.6%
60	68%	64.4%	71.7%	61.1%	55.7%	66.6%
61	66.9%	63.2%	70.6%	59.9%	54.4%	65.5%
62	65.6%	61.8%	69.5%	58.6%	53%	64.3%
63	64.3%	60.3%	68.3%	57.3%	51.5%	63.1%
64	62.8%	58.8%	66.9%	55.8%	49.9%	61.7%
65	61.3%	57.2%	65.4%	54.2%	48.3%	60.2%
66	59.6%	55.4%	63.9%	52.6%	46.6%	58.7%
67	57.9%	53.6%	62.2%	50.9%	44.8%	57%
68	56%	51.7%	60.4%	49.1%	42.9%	55.2%
69	54.1%	49.7%	58.5%	47.1%	41%	53.3%
70	52%	47.6%	56.5%	45.1%	39%	51.3%
71	49.8%	45.4%	54.3%	43%	36.9%	49.2%
72	47.5%	43.1%	52%	40.8%	34.7%	46.9%
73	45.1%	40.8%	49.6%	38.5%	32.5%	44.6%
74	42.6%	38.3%	47%	36.2%	30.2%	42.1%
75	40%	35.7%	44.4%	33.7%	27.9%	39.6%
76	37.3%	33.2%	41.6%	31.3%	25.6%	36.9%
77	34.6%	30.5%	38.8%	28.8%	23.3%	34.3%
78	31.9%	27.9%	35.9%	26.3%	21%	31.6%
79	29.1%	25.3%	33%	23.8%	18.8%	28.8%
80	26.3%	22.6%	30%	21.3%	16.6%	26.1%
81	23.5%	20.1%	27%	18.9%	14.5%	23.3%
82	20.8%	17.6%	24%	16.6%	12.5%	20.6%
83	18.2%	15.2%	21.2%	14.4%	10.6%	18%
84	15.7%	13%	18.4%	12.3%	8.88%	15.6%
85	13.3%	10.9%	15.8%	10.3%	7.31%	13.2%
86	11.2%	9.03%	13.3%	8.54%	5.92%	11.1%
87	9.2%	7.33%	11.1%	6.96%	4.7%	9.18%
88	7.45%	5.83%	9.1%	5.58%	3.65%	7.47%
89	5.92%	4.52%	7.34%	4.38%	2.76%	5.98%
90	4.61%	3.42%	5.82%	3.37%	2.03%	4.7%
91	3.52%	2.51%	4.53%	2.54%	1.45%	3.62%
92	2.62%	1.79%	3.45%	1.87%	1%	2.73%
93	1.9%	1.24%	2.56%	1.35%	0.67%	2.01%
94	1.34%	0.83%	1.85%	0.94%	0.44%	1.44%
95	0.92%	0.54%	1.3%	0.64%	0.27%	1%
96	0.61%	0.34%	0.88%	0.43%	0.16%	0.67%
97	0.4%	0.21%	0.58%	0.27%	0.1%	0.44%
98	0.25%	0.13%	0.37%	0.17%	0.05%	0.28%
99	0.15%	0.07%	0.23%	0.1%	0.03%	0.17%
100	0.09%	0.04%	0.14%	0.06%	0.02%	0.1%

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 6.22% in South Sudan, 0.42% vs 0.55% at age 30, 1.71% vs 1.98% at 60, and 10.5% vs 11.3% at 80.

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

Table

Age	Probability of dying
	DR Congo			South Sudan
	Average	Male	Female	Average	Male	Female
0	4.74%	5.25%	4.22%	6.22%	6.67%	5.75%
1	0.74%	0.79%	0.69%	1.16%	1.1%	1.22%
2	0.65%	0.69%	0.6%	0.99%	0.99%	0.98%
3	0.57%	0.61%	0.52%	0.85%	0.9%	0.8%
4	0.5%	0.54%	0.46%	0.73%	0.8%	0.65%
5	0.43%	0.47%	0.4%	0.62%	0.71%	0.53%
6	0.37%	0.41%	0.34%	0.53%	0.63%	0.43%
7	0.32%	0.35%	0.29%	0.45%	0.54%	0.36%
8	0.28%	0.3%	0.25%	0.39%	0.47%	0.31%
9	0.24%	0.26%	0.22%	0.34%	0.4%	0.27%
10	0.21%	0.23%	0.19%	0.3%	0.35%	0.24%
11	0.19%	0.21%	0.18%	0.27%	0.32%	0.22%
12	0.19%	0.2%	0.17%	0.26%	0.3%	0.22%
13	0.19%	0.21%	0.17%	0.26%	0.3%	0.22%
14	0.2%	0.22%	0.18%	0.27%	0.31%	0.22%
15	0.22%	0.24%	0.19%	0.29%	0.34%	0.24%
16	0.24%	0.27%	0.21%	0.32%	0.37%	0.26%
17	0.26%	0.31%	0.22%	0.35%	0.42%	0.27%
18	0.29%	0.34%	0.24%	0.38%	0.47%	0.29%
19	0.32%	0.38%	0.25%	0.41%	0.52%	0.3%
20	0.34%	0.41%	0.26%	0.44%	0.57%	0.32%
21	0.35%	0.44%	0.27%	0.47%	0.61%	0.33%
22	0.37%	0.45%	0.28%	0.49%	0.63%	0.34%
23	0.37%	0.46%	0.29%	0.5%	0.65%	0.35%
24	0.38%	0.46%	0.3%	0.51%	0.65%	0.36%
25	0.38%	0.46%	0.31%	0.51%	0.65%	0.37%
26	0.39%	0.46%	0.32%	0.52%	0.65%	0.38%
27	0.4%	0.46%	0.33%	0.52%	0.65%	0.39%
28	0.4%	0.47%	0.34%	0.53%	0.65%	0.41%
29	0.41%	0.47%	0.35%	0.54%	0.66%	0.42%
30	0.42%	0.48%	0.36%	0.55%	0.67%	0.43%
31	0.43%	0.49%	0.36%	0.56%	0.68%	0.44%
32	0.44%	0.5%	0.37%	0.57%	0.69%	0.45%
33	0.44%	0.51%	0.38%	0.58%	0.7%	0.46%
34	0.45%	0.52%	0.39%	0.59%	0.71%	0.47%
35	0.46%	0.53%	0.4%	0.6%	0.73%	0.48%
36	0.47%	0.54%	0.41%	0.61%	0.74%	0.49%
37	0.49%	0.56%	0.43%	0.63%	0.76%	0.51%
38	0.51%	0.58%	0.45%	0.65%	0.79%	0.53%
39	0.54%	0.6%	0.47%	0.68%	0.82%	0.56%
40	0.56%	0.63%	0.5%	0.71%	0.85%	0.58%
41	0.59%	0.66%	0.52%	0.74%	0.89%	0.61%
42	0.61%	0.69%	0.54%	0.77%	0.92%	0.63%
43	0.63%	0.71%	0.56%	0.79%	0.96%	0.64%
44	0.65%	0.74%	0.57%	0.81%	0.99%	0.66%
45	0.67%	0.76%	0.58%	0.84%	1.02%	0.67%
46	0.69%	0.8%	0.6%	0.86%	1.06%	0.69%
47	0.73%	0.84%	0.62%	0.9%	1.11%	0.71%
48	0.77%	0.89%	0.65%	0.95%	1.17%	0.75%
49	0.83%	0.96%	0.7%	1%	1.24%	0.79%
50	0.89%	1.04%	0.75%	1.07%	1.32%	0.85%
51	0.96%	1.12%	0.81%	1.14%	1.41%	0.91%
52	1.03%	1.2%	0.87%	1.21%	1.49%	0.97%
53	1.09%	1.27%	0.92%	1.28%	1.57%	1.03%
54	1.15%	1.33%	0.98%	1.35%	1.65%	1.09%
55	1.21%	1.4%	1.03%	1.42%	1.73%	1.15%
56	1.27%	1.47%	1.09%	1.49%	1.82%	1.21%
57	1.35%	1.56%	1.16%	1.58%	1.93%	1.29%
58	1.45%	1.67%	1.24%	1.69%	2.06%	1.39%
59	1.57%	1.8%	1.35%	1.82%	2.21%	1.5%
60	1.71%	1.96%	1.48%	1.98%	2.39%	1.64%
61	1.88%	2.15%	1.63%	2.16%	2.59%	1.8%
62	2.06%	2.35%	1.8%	2.35%	2.81%	1.97%
63	2.25%	2.56%	1.98%	2.56%	3.04%	2.17%
64	2.46%	2.78%	2.17%	2.78%	3.28%	2.37%
65	2.68%	3.02%	2.38%	3.02%	3.54%	2.6%
66	2.92%	3.27%	2.61%	3.28%	3.83%	2.84%
67	3.18%	3.54%	2.87%	3.57%	4.14%	3.12%
68	3.48%	3.86%	3.16%	3.9%	4.5%	3.43%
69	3.82%	4.21%	3.48%	4.26%	4.91%	3.77%
70	4.2%	4.61%	3.85%	4.68%	5.37%	4.16%
71	4.62%	5.05%	4.25%	5.13%	5.87%	4.58%
72	5.07%	5.54%	4.68%	5.62%	6.41%	5.03%
73	5.57%	6.06%	5.15%	6.14%	6.99%	5.52%
74	6.1%	6.63%	5.65%	6.69%	7.61%	6.05%
75	6.67%	7.24%	6.2%	7.29%	8.28%	6.61%
76	7.3%	7.91%	6.79%	7.94%	9%	7.23%
77	7.99%	8.65%	7.46%	8.67%	9.8%	7.92%
78	8.76%	9.47%	8.2%	9.47%	10.7%	8.69%
79	9.61%	10.4%	9.03%	10.4%	11.7%	9.54%
80	10.5%	11.3%	9.95%	11.3%	12.7%	10.5%
81	11.6%	12.4%	10.9%	12.4%	13.8%	11.5%
82	12.6%	13.5%	12%	13.5%	15%	12.6%
83	13.8%	14.7%	13.1%	14.6%	16.3%	13.7%
84	15%	15.9%	14.3%	15.9%	17.6%	14.9%
85	16.2%	17.3%	15.5%	17.1%	19%	16.1%
86	17.6%	18.8%	16.7%	18.5%	20.6%	17.4%
87	19%	20.5%	18%	19.9%	22.4%	18.6%
88	20.5%	22.4%	19.3%	21.4%	24.3%	20%
89	22.1%	24.4%	20.7%	23%	26.4%	21.4%
90	23.8%	26.5%	22.2%	24.6%	28.6%	22.9%
91	25.6%	28.7%	23.9%	26.3%	30.8%	24.6%
92	27.4%	30.8%	25.7%	28.1%	33%	26.4%
93	29.4%	32.9%	27.7%	30%	35.2%	28.4%
94	31.3%	34.8%	29.8%	31.9%	37.5%	30.6%
95	33.4%	36.7%	32%	33.8%	39.8%	32.8%
96	35.4%	38.6%	34.1%	35.6%	41.9%	35%
97	37.3%	40.6%	36.2%	37.7%	43.8%	37.1%
98	39.2%	42.6%	38.2%	40.5%	45.5%	39.1%
99	41%	44.6%	40%	43.7%	47.1%	41%
100	43%	46.5%	42.1%	45.7%	49.1%	43.1%

Death rate by age in the DR Congo compared to South Sudan

In the DR Congo, the most common age of death is 0, compared to 0 in South Sudan. The median age of death is 70.9 in the DR Congo and 67.5 in South Sudan — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	DR Congo			South Sudan
	Total	Male	Female	Total	Male	Female
0	4,741	5,250	4,223	6,215	6,667	5,754
1	706	750	662	1,086	1,027	1,147
2	612	653	570	915	916	915
3	534	573	494	776	818	733
4	466	502	429	660	727	591
5	404	436	370	561	641	479
6	347	376	317	477	558	393
7	296.1	321	270.8	404	480	326
8	252.8	273.8	231.4	344	411	275.7
9	218	235.8	199.9	296.8	353	238.8
10	192.5	207.9	176.9	262	309	213.5
11	176.5	190.4	162.3	239.4	279	198.2
12	169.3	182.8	155.5	227.9	262.8	191.3
13	170.6	184.9	156	226.8	260.1	192
14	179.5	196.1	162.6	235.1	270	198.7
15	195	215.6	174.2	251.3	290.8	210.1
16	215.6	241.9	188.8	273.6	321	224.4
17	238.7	272.7	204.2	299.3	357	239.3
18	262.3	306	218.4	327	397	253.5
19	283.9	337	229.9	354	439	265.4
20	302	364	238.6	379	478	275.1
21	315	384	245.4	398	508	283.3
22	325	397	251.5	412	527	290.7
23	331	402	258	420	535	298.4
24	335	403	265.4	424	536	307
25	338	400	273.8	427	532	316
26	341	398	282.8	429	527	325
27	345	397	291.6	432	523	335
28	350	398	299.9	436	522	344
29	355	401	307	440	523	352
30	361	407	313	446	527	359
31	366	412	319	451	533	366
32	371	418	323	456	538	372
33	376	423	328	461	544	377
34	381	428	333	466	549	384
35	388	434	340	473	555	392
36	396	441	350	481	563	402
37	408	452	363	493	575	415
38	424	466	380	508	590	431
39	442	484	398	526	608	449
40	461	503	418	545	628	467
41	480	523	436	564	648	483
42	496	541	450	580	667	496
43	510	558	461	593	685	506
44	522	573	469	604	700	512
45	534	590	476	616	717	519
46	550	611	487	631	737	528
47	572	638	503	651	762	543
48	602	674	527	679	794	566
49	639	718	559	713	832	596
50	683	768	597	753	875	633
51	729	818	639	795	919	672
52	774	866	680	835	961	711
53	813	907	717	872	999	748
54	848	943	751	906	1,033	782
55	881	976	784	939	1,066	816
56	916	1,011	819	976	1,102	853
57	959	1,055	862	1,018	1,145	896
58	1,014	1,111	915	1,072	1,197	950
59	1,082	1,181	982	1,136	1,260	1,015
60	1,164	1,265	1,061	1,210	1,332	1,092
61	1,254	1,356	1,151	1,292	1,409	1,178
62	1,350	1,452	1,248	1,378	1,488	1,270
63	1,448	1,546	1,349	1,465	1,565	1,366
64	1,545	1,637	1,452	1,551	1,639	1,464
65	1,642	1,725	1,559	1,636	1,710	1,565
66	1,741	1,811	1,668	1,724	1,782	1,668
67	1,843	1,901	1,784	1,815	1,855	1,777
68	1,952	1,995	1,907	1,911	1,933	1,891
69	2,067	2,094	2,038	2,011	2,013	2,011
70	2,185	2,196	2,173	2,111	2,091	2,133
71	2,302	2,296	2,307	2,207	2,164	2,252
72	2,412	2,389	2,435	2,292	2,226	2,363
73	2,511	2,470	2,552	2,364	2,272	2,461
74	2,597	2,537	2,657	2,419	2,300	2,546
75	2,669	2,589	2,749	2,459	2,311	2,615
76	2,724	2,624	2,827	2,485	2,305	2,672
77	2,766	2,642	2,893	2,497	2,284	2,714
78	2,791	2,641	2,945	2,490	2,246	2,742
79	2,794	2,617	2,977	2,465	2,188	2,750
80	2,771	2,565	2,983	2,417	2,108	2,734
81	2,716	2,484	2,954	2,342	2,003	2,685
82	2,625	2,371	2,886	2,237	1,874	2,600
83	2,499	2,231	2,776	2,103	1,725	2,478
84	2,342	2,067	2,625	1,944	1,562	2,321
85	2,160	1,888	2,438	1,767	1,392	2,135
86	1,959	1,699	2,225	1,579	1,221	1,929
87	1,746	1,503	1,994	1,386	1,052	1,712
88	1,528	1,304	1,756	1,193	887	1,492
89	1,310	1,104	1,520	1,007	729	1,279
90	1,099	907	1,294	831	582	1,077
91	900	721	1,082	670	447	890
92	718	552	886	527	331	722
93	557	407	709	404	237	571
94	420	289.7	552	301	163.5	440
95	307	199.2	415	217.2	108.2	328
96	216.9	132.6	302	151.7	68.7	235
97	148	85.4	210.7	103.4	41.7	162.1
98	97.5	53.2	141.6	69.1	24.4	107.5
99	62	32	91.8	44.4	13.7	68.6
100	0	0	0	0	0	0

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 South Sudan 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 South Sudan: Quantitative Profiles

By topic vs comparisons:

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