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

Life expectancy by current age

Chart Table

DR Congo

Male

Female

Germany

Male

Female

1x

Current age, years	Total life expectancy, years
	DR Congo			Germany
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.8	101.9	101.8	101.9
99	100.8	100.7	100.9	101	100.9	101.1
98	99.9	99.8	100	100.2	100.1	100.2
97	99	98.8	99.1	99.4	99.2	99.4
96	98.1	97.9	98.2	98.6	98.4	98.6
95	97.3	97	97.3	97.8	97.6	97.9
94	96.4	96.2	96.5	97	96.8	97.1
93	95.5	95.3	95.7	96.3	96	96.4
92	94.7	94.4	94.8	95.6	95.3	95.7
91	93.9	93.6	94	94.9	94.5	95
90	93.1	92.8	93.3	94.2	93.9	94.4
89	92.3	92	92.5	93.6	93.2	93.8
88	91.5	91.2	91.7	93	92.5	93.2
87	90.8	90.4	91	92.4	91.9	92.7
86	90	89.7	90.2	91.9	91.3	92.2
85	89.3	89	89.5	91.3	90.8	91.7
84	88.6	88.3	88.8	90.9	90.3	91.3
83	87.9	87.6	88.1	90.4	89.8	90.9
82	87.2	86.9	87.4	90	89.3	90.5
81	86.5	86.2	86.8	89.6	88.8	90.2
80	85.9	85.6	86.1	89.2	88.4	89.8
79	85.3	84.9	85.5	88.9	88	89.6
78	84.7	84.3	85	88.6	87.6	89.3
77	84.1	83.7	84.4	88.2	87.3	89
76	83.6	83.2	83.9	88	86.9	88.8
75	83	82.6	83.4	87.7	86.6	88.6
74	82.5	82.1	82.9	87.4	86.3	88.3
73	82	81.6	82.4	87.1	85.9	88.1
72	81.5	81.1	81.9	86.9	85.6	87.9
71	81.1	80.6	81.5	86.6	85.3	87.7
70	80.6	80.1	81	86.3	85	87.5
69	80.2	79.7	80.6	86.1	84.7	87.3
68	79.8	79.2	80.3	85.9	84.4	87.2
67	79.4	78.8	79.9	85.6	84.2	87
66	79	78.4	79.5	85.4	83.9	86.8
65	78.6	78	79.2	85.2	83.7	86.7
64	78.3	77.6	78.9	85	83.4	86.5
63	78	77.3	78.6	84.8	83.2	86.4
62	77.6	76.9	78.3	84.6	82.9	86.2
61	77.3	76.6	78	84.5	82.7	86.1
60	77.1	76.3	77.8	84.3	82.5	86
59	76.8	76	77.5	84.1	82.3	85.9
58	76.5	75.7	77.3	84	82.2	85.8
57	76.3	75.4	77.1	83.9	82	85.7
56	76	75.1	76.8	83.7	81.9	85.6
55	75.8	74.9	76.6	83.6	81.7	85.5
54	75.5	74.6	76.4	83.5	81.6	85.4
53	75.3	74.3	76.2	83.4	81.5	85.3
52	75	74.1	76	83.3	81.4	85.3
51	74.8	73.8	75.8	83.2	81.3	85.2
50	74.6	73.6	75.6	83.2	81.2	85.1
49	74.4	73.3	75.4	83.1	81.1	85.1
48	74.2	73.1	75.2	83	81	85
47	74	72.9	75.1	83	80.9	85
46	73.8	72.7	74.9	82.9	80.9	84.9
45	73.6	72.5	74.7	82.9	80.8	84.9
44	73.4	72.3	74.5	82.8	80.7	84.9
43	73.2	72.1	74.4	82.8	80.7	84.8
42	73.1	71.9	74.2	82.7	80.6	84.8
41	72.9	71.7	74	82.7	80.6	84.8
40	72.7	71.5	73.9	82.7	80.6	84.7
39	72.5	71.3	73.7	82.6	80.5	84.7
38	72.3	71.1	73.5	82.6	80.5	84.7
37	72.2	70.9	73.4	82.6	80.4	84.7
36	72	70.7	73.2	82.5	80.4	84.6
35	71.8	70.5	73.1	82.5	80.4	84.6
34	71.7	70.3	72.9	82.5	80.3	84.6
33	71.5	70.2	72.8	82.5	80.3	84.6
32	71.3	70	72.6	82.4	80.3	84.6
31	71.1	69.8	72.5	82.4	80.3	84.6
30	71	69.6	72.3	82.4	80.2	84.5
29	70.8	69.4	72.2	82.4	80.2	84.5
28	70.6	69.2	72	82.4	80.2	84.5
27	70.5	69	71.9	82.3	80.2	84.5
26	70.3	68.8	71.8	82.3	80.1	84.5
25	70.1	68.6	71.6	82.3	80.1	84.5
24	69.9	68.4	71.5	82.3	80.1	84.5
23	69.8	68.2	71.3	82.3	80.1	84.5
22	69.6	68	71.2	82.3	80.1	84.5
21	69.4	67.8	71.1	82.2	80	84.5
20	69.3	67.6	70.9	82.2	80	84.4
19	69.1	67.4	70.8	82.2	80	84.4
18	69	67.2	70.7	82.2	80	84.4
17	68.8	67.1	70.6	82.2	80	84.4
16	68.7	67	70.4	82.2	80	84.4
15	68.6	66.8	70.3	82.2	79.9	84.4
14	68.5	66.7	70.2	82.2	79.9	84.4
13	68.4	66.6	70.1	82.2	79.9	84.4
12	68.3	66.5	70	82.2	79.9	84.4
11	68.2	66.4	69.9	82.2	79.9	84.4
10	68	66.3	69.8	82.1	79.9	84.4
9	67.9	66.1	69.7	82.1	79.9	84.4
8	67.7	65.9	69.5	82.1	79.9	84.4
7	67.5	65.7	69.4	82.1	79.9	84.4
6	67.3	65.5	69.1	82.1	79.9	84.4
5	67	65.2	68.9	82.1	79.9	84.4
4	66.7	64.9	68.6	82.1	79.9	84.4
3	66.4	64.5	68.3	82.1	79.9	84.3
2	66	64.1	67.9	82.1	79.9	84.3
1	65.5	63.6	67.4	82.1	79.8	84.3
0	62.4	60.2	64.6	81.9	79.6	84.1

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 DR Congo can expect to live to 71 years compared to 82.4 in Germany, rising to 78.6 and 85.2 at 65, and to 85.9 and 89.2 at 80 — higher than the 62.4 and 81.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

DR Congo

Male

Female

Germany

Male

Female

1x

Age	Survival probability
	DR Congo			Germany
	Average	Male	Female	Average	Male	Female
100	0.09%	0.04%	0.14%	1.57%	0.87%	2.2%
99	0.15%	0.07%	0.23%	2.44%	1.4%	3.4%
98	0.25%	0.13%	0.37%	3.66%	2.17%	5.04%
97	0.4%	0.21%	0.58%	5.28%	3.24%	7.19%
96	0.61%	0.34%	0.88%	7.35%	4.66%	9.89%
95	0.92%	0.54%	1.3%	9.89%	6.48%	13.1%
94	1.34%	0.83%	1.85%	12.9%	8.74%	16.9%
93	1.9%	1.24%	2.56%	16.4%	11.4%	21.1%
92	2.62%	1.79%	3.45%	20.2%	14.5%	25.7%
91	3.52%	2.51%	4.53%	24.3%	18%	30.6%
90	4.61%	3.42%	5.82%	28.7%	21.7%	35.6%
89	5.92%	4.52%	7.34%	33.1%	25.6%	40.5%
88	7.45%	5.83%	9.1%	37.6%	29.7%	45.4%
87	9.2%	7.33%	11.1%	42%	33.8%	50.1%
86	11.2%	9.03%	13.3%	46.2%	37.9%	54.5%
85	13.3%	10.9%	15.8%	50.3%	41.9%	58.6%
84	15.7%	13%	18.4%	54%	45.7%	62.4%
83	18.2%	15.2%	21.2%	57.6%	49.3%	65.8%
82	20.8%	17.6%	24%	60.8%	52.8%	68.9%
81	23.5%	20.1%	27%	63.8%	56%	71.6%
80	26.3%	22.6%	30%	66.5%	58.9%	74%
79	29.1%	25.3%	33%	68.9%	61.7%	76.2%
78	31.9%	27.9%	35.9%	71.2%	64.3%	78.1%
77	34.6%	30.5%	38.8%	73.2%	66.7%	79.8%
76	37.3%	33.2%	41.6%	75.1%	68.9%	81.4%
75	40%	35.7%	44.4%	76.9%	71%	82.8%
74	42.6%	38.3%	47%	78.5%	73%	84.1%
73	45.1%	40.8%	49.6%	80.1%	74.9%	85.4%
72	47.5%	43.1%	52%	81.6%	76.7%	86.5%
71	49.8%	45.4%	54.3%	83%	78.4%	87.6%
70	52%	47.6%	56.5%	84.3%	80%	88.6%
69	54.1%	49.7%	58.5%	85.5%	81.6%	89.5%
68	56%	51.7%	60.4%	86.6%	83%	90.4%
67	57.9%	53.6%	62.2%	87.7%	84.3%	91.2%
66	59.6%	55.4%	63.9%	88.7%	85.6%	91.9%
65	61.3%	57.2%	65.4%	89.6%	86.8%	92.6%
64	62.8%	58.8%	66.9%	90.5%	88%	93.2%
63	64.3%	60.3%	68.3%	91.3%	89%	93.8%
62	65.6%	61.8%	69.5%	92.1%	90%	94.3%
61	66.9%	63.2%	70.6%	92.8%	90.9%	94.8%
60	68%	64.4%	71.7%	93.4%	91.7%	95.2%
59	69.1%	65.6%	72.7%	94%	92.5%	95.7%
58	70.1%	66.7%	73.6%	94.6%	93.1%	96%
57	71.1%	67.8%	74.5%	95.1%	93.8%	96.4%
56	72%	68.8%	75.3%	95.5%	94.3%	96.7%
55	72.9%	69.8%	76.1%	95.9%	94.8%	97%
54	73.7%	70.7%	76.8%	96.3%	95.3%	97.2%
53	74.5%	71.6%	77.5%	96.6%	95.7%	97.5%
52	75.3%	72.5%	78.2%	96.9%	96.1%	97.7%
51	76%	73.3%	78.9%	97.1%	96.4%	97.9%
50	76.7%	74.1%	79.5%	97.3%	96.7%	98%
49	77.4%	74.8%	80%	97.5%	96.9%	98.2%
48	78%	75.4%	80.5%	97.7%	97.2%	98.3%
47	78.5%	76.1%	81%	97.9%	97.4%	98.5%
46	79.1%	76.7%	81.5%	98%	97.6%	98.6%
45	79.6%	77.3%	82%	98.2%	97.7%	98.7%
44	80.1%	77.9%	82.5%	98.3%	97.9%	98.8%
43	80.7%	78.4%	82.9%	98.4%	98%	98.8%
42	81.2%	79%	83.4%	98.5%	98.1%	98.9%
41	81.6%	79.5%	83.8%	98.6%	98.3%	99%
40	82.1%	80%	84.2%	98.7%	98.4%	99%
39	82.5%	80.5%	84.6%	98.8%	98.5%	99.1%
38	83%	80.9%	85%	98.8%	98.6%	99.1%
37	83.4%	81.4%	85.4%	98.9%	98.6%	99.2%
36	83.8%	81.8%	85.7%	99%	98.7%	99.2%
35	84.1%	82.3%	86.1%	99%	98.8%	99.3%
34	84.5%	82.7%	86.4%	99.1%	98.9%	99.3%
33	84.9%	83.1%	86.7%	99.1%	98.9%	99.3%
32	85.3%	83.5%	87.1%	99.2%	99%	99.4%
31	85.6%	83.9%	87.4%	99.2%	99%	99.4%
30	86%	84.4%	87.7%	99.2%	99.1%	99.4%
29	86.4%	84.8%	88%	99.3%	99.1%	99.4%
28	86.7%	85.1%	88.3%	99.3%	99.2%	99.5%
27	87.1%	85.5%	88.6%	99.3%	99.2%	99.5%
26	87.4%	85.9%	88.9%	99.4%	99.2%	99.5%
25	87.7%	86.3%	89.1%	99.4%	99.3%	99.5%
24	88.1%	86.7%	89.4%	99.4%	99.3%	99.5%
23	88.4%	87.1%	89.7%	99.4%	99.4%	99.5%
22	88.7%	87.5%	89.9%	99.5%	99.4%	99.5%
21	89%	87.9%	90.2%	99.5%	99.4%	99.6%
20	89.3%	88.3%	90.4%	99.5%	99.5%	99.6%
19	89.6%	88.6%	90.6%	99.5%	99.5%	99.6%
18	89.9%	88.9%	90.9%	99.6%	99.5%	99.6%
17	90.1%	89.2%	91.1%	99.6%	99.6%	99.6%
16	90.3%	89.5%	91.2%	99.6%	99.6%	99.6%
15	90.5%	89.7%	91.4%	99.6%	99.6%	99.6%
14	90.7%	89.9%	91.6%	99.6%	99.6%	99.7%
13	90.9%	90%	91.7%	99.6%	99.6%	99.7%
12	91.1%	90.2%	91.9%	99.6%	99.6%	99.7%
11	91.2%	90.4%	92.1%	99.6%	99.6%	99.7%
10	91.4%	90.6%	92.2%	99.7%	99.6%	99.7%
9	91.6%	90.9%	92.4%	99.7%	99.6%	99.7%
8	91.9%	91.1%	92.7%	99.7%	99.6%	99.7%
7	92.2%	91.5%	92.9%	99.7%	99.6%	99.7%
6	92.5%	91.8%	93.3%	99.7%	99.7%	99.7%
5	92.9%	92.3%	93.6%	99.7%	99.7%	99.7%
4	93.4%	92.8%	94.1%	99.7%	99.7%	99.7%
3	93.9%	93.3%	94.5%	99.7%	99.7%	99.7%
2	94.6%	94%	95.1%	99.7%	99.7%	99.7%
1	95.3%	94.7%	95.8%	99.7%	99.7%	99.8%

This chart shows the odds of living to each age from birth. 68% of newborns in the DR Congo and 93.4% in Germany are expected to live past 60, 52% and 84.3% past 70, 26.3% and 66.5% past 80, and only 4.61% and 28.7% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

DR Congo

Male

Female

Germany

Male

Female

1x

Age	Probability of dying
	DR Congo			Germany
	Average	Male	Female	Average	Male	Female
100	43%	46.5%	42.1%	38.4%	40.3%	37.9%
99	41%	44.6%	40%	35.8%	37.9%	35.2%
98	39.2%	42.6%	38.2%	33.3%	35.4%	32.6%
97	37.3%	40.6%	36.2%	30.7%	32.9%	30%
96	35.4%	38.6%	34.1%	28.2%	30.5%	27.3%
95	33.4%	36.7%	32%	25.7%	28.2%	24.7%
94	31.3%	34.8%	29.8%	23.3%	25.9%	22.2%
93	29.4%	32.9%	27.7%	21.1%	23.6%	20%
92	27.4%	30.8%	25.7%	19%	21.3%	17.9%
91	25.6%	28.7%	23.9%	17%	19.1%	15.9%
90	23.8%	26.5%	22.2%	15.1%	17.1%	14%
89	22.1%	24.4%	20.7%	13.4%	15.4%	12.3%
88	20.5%	22.4%	19.3%	11.9%	13.7%	10.7%
87	19%	20.5%	18%	10.5%	12.2%	9.36%
86	17.6%	18.8%	16.7%	9.19%	10.8%	8.11%
85	16.2%	17.3%	15.5%	8.04%	9.54%	6.99%
84	15%	15.9%	14.3%	7.01%	8.39%	6.01%
83	13.8%	14.7%	13.1%	6.11%	7.38%	5.17%
82	12.6%	13.5%	12%	5.32%	6.49%	4.45%
81	11.6%	12.4%	10.9%	4.65%	5.72%	3.83%
80	10.5%	11.3%	9.95%	4.06%	5.05%	3.29%
79	9.61%	10.4%	9.03%	3.56%	4.47%	2.82%
78	8.76%	9.47%	8.2%	3.13%	3.98%	2.44%
77	7.99%	8.65%	7.46%	2.8%	3.59%	2.14%
76	7.3%	7.91%	6.79%	2.53%	3.26%	1.92%
75	6.67%	7.24%	6.2%	2.31%	2.99%	1.74%
74	6.1%	6.63%	5.65%	2.12%	2.74%	1.59%
73	5.57%	6.06%	5.15%	1.95%	2.53%	1.45%
72	5.07%	5.54%	4.68%	1.8%	2.34%	1.34%
71	4.62%	5.05%	4.25%	1.67%	2.17%	1.23%
70	4.2%	4.61%	3.85%	1.54%	2.01%	1.12%
69	3.82%	4.21%	3.48%	1.42%	1.86%	1.02%
68	3.48%	3.86%	3.16%	1.32%	1.73%	0.94%
67	3.18%	3.54%	2.87%	1.23%	1.61%	0.86%
66	2.92%	3.27%	2.61%	1.14%	1.49%	0.79%
65	2.68%	3.02%	2.38%	1.05%	1.39%	0.73%
64	2.46%	2.78%	2.17%	0.98%	1.29%	0.67%
63	2.25%	2.56%	1.98%	0.9%	1.19%	0.62%
62	2.06%	2.35%	1.8%	0.82%	1.08%	0.57%
61	1.88%	2.15%	1.63%	0.75%	0.98%	0.52%
60	1.71%	1.96%	1.48%	0.69%	0.89%	0.48%
59	1.57%	1.8%	1.35%	0.62%	0.81%	0.44%
58	1.45%	1.67%	1.24%	0.57%	0.74%	0.39%
57	1.35%	1.56%	1.16%	0.51%	0.66%	0.36%
56	1.27%	1.47%	1.09%	0.46%	0.6%	0.33%
55	1.21%	1.4%	1.03%	0.42%	0.54%	0.29%
54	1.15%	1.33%	0.98%	0.37%	0.48%	0.26%
53	1.09%	1.27%	0.92%	0.33%	0.43%	0.24%
52	1.03%	1.2%	0.87%	0.29%	0.38%	0.21%
51	0.96%	1.12%	0.81%	0.26%	0.33%	0.19%
50	0.89%	1.04%	0.75%	0.24%	0.3%	0.17%
49	0.83%	0.96%	0.7%	0.21%	0.27%	0.16%
48	0.77%	0.89%	0.65%	0.19%	0.24%	0.14%
47	0.73%	0.84%	0.62%	0.17%	0.21%	0.12%
46	0.69%	0.8%	0.6%	0.15%	0.19%	0.11%
45	0.67%	0.76%	0.58%	0.14%	0.17%	0.1%
44	0.65%	0.74%	0.57%	0.12%	0.16%	0.09%
43	0.63%	0.71%	0.56%	0.11%	0.14%	0.08%
42	0.61%	0.69%	0.54%	0.1%	0.13%	0.07%
41	0.59%	0.66%	0.52%	0.09%	0.12%	0.07%
40	0.56%	0.63%	0.5%	0.09%	0.11%	0.06%
39	0.54%	0.6%	0.47%	0.08%	0.1%	0.06%
38	0.51%	0.58%	0.45%	0.07%	0.09%	0.05%
37	0.49%	0.56%	0.43%	0.07%	0.08%	0.05%
36	0.47%	0.54%	0.41%	0.06%	0.08%	0.04%
35	0.46%	0.53%	0.4%	0.06%	0.07%	0.04%
34	0.45%	0.52%	0.39%	0.05%	0.07%	0.04%
33	0.44%	0.51%	0.38%	0.05%	0.06%	0.03%
32	0.44%	0.5%	0.37%	0.05%	0.06%	0.03%
31	0.43%	0.49%	0.36%	0.04%	0.05%	0.03%
30	0.42%	0.48%	0.36%	0.04%	0.05%	0.03%
29	0.41%	0.47%	0.35%	0.04%	0.05%	0.02%
28	0.4%	0.47%	0.34%	0.03%	0.04%	0.02%
27	0.4%	0.46%	0.33%	0.03%	0.04%	0.02%
26	0.39%	0.46%	0.32%	0.03%	0.04%	0.02%
25	0.38%	0.46%	0.31%	0.03%	0.04%	0.02%
24	0.38%	0.46%	0.3%	0.03%	0.04%	0.02%
23	0.37%	0.46%	0.29%	0.03%	0.04%	0.02%
22	0.37%	0.45%	0.28%	0.03%	0.04%	0.01%
21	0.35%	0.44%	0.27%	0.03%	0.04%	0.01%
20	0.34%	0.41%	0.26%	0.03%	0.04%	0.02%
19	0.32%	0.38%	0.25%	0.03%	0.03%	0.02%
18	0.29%	0.34%	0.24%	0.02%	0.03%	0.01%
17	0.26%	0.31%	0.22%	0.02%	0.03%	0.01%
16	0.24%	0.27%	0.21%	0.02%	0.02%	0.01%
15	0.22%	0.24%	0.19%	0.01%	0.01%	0.01%
14	0.2%	0.22%	0.18%	0.009%	0.01%	0.009%
13	0.19%	0.21%	0.17%	0.008%	0.008%	0.008%
12	0.19%	0.2%	0.17%	0.007%	0.007%	0.007%
11	0.19%	0.21%	0.18%	0.006%	0.006%	0.006%
10	0.21%	0.23%	0.19%	0.006%	0.006%	0.005%
9	0.24%	0.26%	0.22%	0.006%	0.006%	0.005%
8	0.28%	0.3%	0.25%	0.006%	0.007%	0.005%
7	0.32%	0.35%	0.29%	0.006%	0.007%	0.005%
6	0.37%	0.41%	0.34%	0.007%	0.008%	0.006%
5	0.43%	0.47%	0.4%	0.008%	0.008%	0.007%
4	0.5%	0.54%	0.46%	0.008%	0.009%	0.008%
3	0.57%	0.61%	0.52%	0.009%	0.009%	0.008%
2	0.65%	0.69%	0.6%	0.01%	0.01%	0.009%
1	0.74%	0.79%	0.69%	0.03%	0.03%	0.02%
0	4.74%	5.25%	4.22%	0.26%	0.28%	0.24%

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

The annual chance of dying is 4.74% in the birth year in the DR Congo and 0.26% in Germany, 0.42% vs 0.04% at age 30, 1.71% vs 0.69% at 60, and 10.5% vs 4.06% at 80.

Death rate by age in DR Congo vs Germany

Chart Table

DR Congo

Male

Female

Germany

Male

Female

1x

Age	Death rate
	DR Congo			Germany
	Total	Male	Female	Total	Male	Female
100	0	0	0	411	149.7	645
99	62	32	91.8	874	530	1,197
98	97.5	53.2	141.6	1,217	768	1,642
97	148	85.4	210.7	1,623	1,066	2,155
96	216.9	132.6	302	2,070	1,421	2,698
95	307	199.2	415	2,537	1,824	3,236
94	420	289.7	552	3,012	2,264	3,756
93	557	407	709	3,456	2,699	4,218
92	718	552	886	3,843	3,091	4,602
91	900	721	1,082	4,141	3,427	4,868
90	1,099	907	1,294	4,341	3,710	4,988
89	1,310	1,104	1,520	4,447	3,930	4,984
88	1,528	1,304	1,756	4,458	4,061	4,878
87	1,746	1,503	1,994	4,390	4,114	4,689
86	1,959	1,699	2,225	4,248	4,095	4,424
85	2,160	1,888	2,438	4,039	3,995	4,101
84	2,342	2,067	2,625	3,788	3,836	3,753
83	2,499	2,231	2,776	3,517	3,640	3,402
82	2,625	2,371	2,886	3,238	3,424	3,062
81	2,716	2,484	2,954	2,964	3,202	2,740
80	2,771	2,565	2,983	2,702	2,979	2,436
79	2,794	2,617	2,977	2,452	2,760	2,150
78	2,791	2,641	2,945	2,230	2,560	1,904
77	2,766	2,642	2,893	2,048	2,391	1,710
76	2,724	2,624	2,827	1,900	2,250	1,561
75	2,669	2,589	2,749	1,777	2,125	1,442
74	2,597	2,537	2,657	1,662	2,004	1,335
73	2,511	2,470	2,552	1,560	1,893	1,240
72	2,412	2,389	2,435	1,471	1,797	1,157
71	2,302	2,296	2,307	1,389	1,705	1,078
70	2,185	2,196	2,173	1,300	1,607	995
69	2,067	2,094	2,038	1,217	1,514	916
68	1,952	1,995	1,907	1,142	1,432	848
67	1,843	1,901	1,784	1,075	1,357	788
66	1,741	1,811	1,668	1,007	1,280	730
65	1,642	1,725	1,559	943	1,205	676
64	1,545	1,637	1,452	884	1,135	627
63	1,448	1,546	1,349	821	1,055	579
62	1,350	1,452	1,248	757	972	534
61	1,254	1,356	1,151	699	895	495
60	1,164	1,265	1,061	642	821	457
59	1,082	1,181	982	587	753	416
58	1,014	1,111	915	535	687	378
57	959	1,055	862	487	623	346
56	916	1,011	819	441	563	316
55	881	976	784	398	508	285.7
54	848	943	751	358	456	256.9
53	813	907	717	320	407	231.5
52	774	866	680	284.9	360	208.4
51	729	818	639	254.5	320	188
50	683	768	597	229.5	287.6	170.4
49	639	718	559	207	259.3	153.8
48	602	674	527	185.3	232.3	137.5
47	572	638	503	165.7	208.4	122.3
46	550	611	487	149.1	188.7	108.9
45	534	590	476	134.2	170.5	97.3
44	522	573	469	120.3	152.3	87.5
43	510	558	461	108.4	137.1	78.7
42	496	541	450	99.4	126.7	71
41	480	523	436	91.5	117.1	64.6
40	461	503	418	84.2	107.7	59.5
39	442	484	398	76.9	97.9	54.6
38	424	466	380	70.3	89.5	49.8
37	408	452	363	64.7	83.1	44.9
36	396	441	350	59.4	77	40.6
35	388	434	340	55	71.1	37.8
34	381	428	333	51	65.8	35.2
33	376	423	328	47.6	61.9	32.2
32	371	418	323	44.7	58.3	30
31	366	412	319	42	54	28.8
30	361	407	313	38.5	49.5	26.4
29	355	401	307	34.9	45.3	23.4
28	350	398	299.9	32.1	42.4	20.8
27	345	397	291.6	30	40.3	18.5
26	341	398	282.8	28.6	39.3	16.8
25	338	400	273.8	27.6	38.6	15.7
24	335	403	265.4	26.9	37.6	15.2
23	331	402	258	26.2	36.7	15
22	325	397	251.5	25.7	36.2	14.6
21	315	384	245.4	25.6	36	14.7
20	302	364	238.6	26.1	36	15.5
19	283.9	337	229.9	25.3	34.6	15.4
18	262.3	306	218.4	22.9	30.7	14.5
17	238.7	272.7	204.2	19.5	25.1	13.6
16	215.6	241.9	188.8	15.5	18.8	12.1
15	195	215.6	174.2	12	13.8	10.2
14	179.5	196.1	162.6	9.35	10.1	8.53
13	170.6	184.9	156	7.7	7.78	7.61
12	169.3	182.8	155.5	6.7	6.53	6.87
11	176.5	190.4	162.3	6.08	6.17	5.99
10	192.5	207.9	176.9	5.74	6.23	5.22
9	218	235.8	199.9	5.49	6.23	4.71
8	252.8	273.8	231.4	5.54	6.48	4.56
7	296.1	321	270.8	5.96	6.94	4.91
6	347	376	317	6.74	7.49	5.95
5	404	436	370	7.69	8.09	7.28
4	466	502	429	8.4	8.73	8.05
3	534	573	494	8.73	9.26	8.17
2	612	653	570	10.1	11	9.22
1	706	750	662	27.4	29.9	24.7
0	4,741	5,250	4,223	263.3	281	244.7

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 DR Congo, the most common age of death is 0, compared to 88 in Germany. The median age of death is 70.9 in the DR Congo and 85.1 in Germany, 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 DR Congo and Germany more than their death rates.

Life expectancy in other countries

+ -

1x