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

Life expectancy by current age

Chart Table

DR Congo

Male

Female

Hungary

Male

Female

1x

Current age, years	Total life expectancy, years
	DR Congo			Hungary
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.8	102.1	102	102.2
99	100.8	100.7	100.9	101.2	101.1	101.3
98	99.9	99.8	100	100.3	100.2	100.4
97	99	98.8	99.1	99.5	99.4	99.5
96	98.1	97.9	98.2	98.6	98.5	98.7
95	97.3	97	97.3	97.8	97.7	97.9
94	96.4	96.2	96.5	97	96.9	97.1
93	95.5	95.3	95.7	96.3	96.1	96.3
92	94.7	94.4	94.8	95.5	95.3	95.6
91	93.9	93.6	94	94.8	94.5	94.8
90	93.1	92.8	93.3	94	93.8	94.1
89	92.3	92	92.5	93.4	93.1	93.5
88	91.5	91.2	91.7	92.7	92.4	92.8
87	90.8	90.4	91	92.1	91.7	92.2
86	90	89.7	90.2	91.4	91	91.6
85	89.3	89	89.5	90.8	90.4	91
84	88.6	88.3	88.8	90.2	89.7	90.5
83	87.9	87.6	88.1	89.7	89.1	89.9
82	87.2	86.9	87.4	89.1	88.5	89.4
81	86.5	86.2	86.8	88.6	87.9	89
80	85.9	85.6	86.1	88.1	87.4	88.5
79	85.3	84.9	85.5	87.7	86.8	88.1
78	84.7	84.3	85	87.2	86.3	87.7
77	84.1	83.7	84.4	86.8	85.8	87.4
76	83.6	83.2	83.9	86.4	85.3	87
75	83	82.6	83.4	86	84.8	86.7
74	82.5	82.1	82.9	85.6	84.4	86.4
73	82	81.6	82.4	85.3	83.9	86.1
72	81.5	81.1	81.9	84.9	83.5	85.9
71	81.1	80.6	81.5	84.6	83	85.6
70	80.6	80.1	81	84.2	82.6	85.4
69	80.2	79.7	80.6	83.9	82.2	85.1
68	79.8	79.2	80.3	83.6	81.8	84.9
67	79.4	78.8	79.9	83.2	81.4	84.6
66	79	78.4	79.5	82.9	81	84.4
65	78.6	78	79.2	82.6	80.5	84.2
64	78.3	77.6	78.9	82.3	80.1	84
63	78	77.3	78.6	82	79.8	83.8
62	77.6	76.9	78.3	81.7	79.4	83.6
61	77.3	76.6	78	81.4	79.1	83.4
60	77.1	76.3	77.8	81.2	78.7	83.2
59	76.8	76	77.5	80.9	78.4	83
58	76.5	75.7	77.3	80.7	78.1	82.8
57	76.3	75.4	77.1	80.4	77.8	82.7
56	76	75.1	76.8	80.2	77.5	82.5
55	75.8	74.9	76.6	80	77.3	82.4
54	75.5	74.6	76.4	79.8	77.1	82.3
53	75.3	74.3	76.2	79.6	76.8	82.2
52	75	74.1	76	79.5	76.6	82
51	74.8	73.8	75.8	79.3	76.5	82
50	74.6	73.6	75.6	79.2	76.3	81.9
49	74.4	73.3	75.4	79.1	76.1	81.8
48	74.2	73.1	75.2	79	76	81.7
47	74	72.9	75.1	78.9	75.9	81.6
46	73.8	72.7	74.9	78.8	75.8	81.6
45	73.6	72.5	74.7	78.7	75.7	81.5
44	73.4	72.3	74.5	78.6	75.6	81.5
43	73.2	72.1	74.4	78.6	75.5	81.4
42	73.1	71.9	74.2	78.5	75.5	81.4
41	72.9	71.7	74	78.5	75.4	81.3
40	72.7	71.5	73.9	78.4	75.4	81.3
39	72.5	71.3	73.7	78.4	75.3	81.3
38	72.3	71.1	73.5	78.3	75.3	81.3
37	72.2	70.9	73.4	78.3	75.2	81.2
36	72	70.7	73.2	78.3	75.2	81.2
35	71.8	70.5	73.1	78.2	75.1	81.2
34	71.7	70.3	72.9	78.2	75.1	81.1
33	71.5	70.2	72.8	78.2	75.1	81.1
32	71.3	70	72.6	78.1	75	81.1
31	71.1	69.8	72.5	78.1	75	81.1
30	71	69.6	72.3	78.1	75	81.1
29	70.8	69.4	72.2	78.1	74.9	81.1
28	70.6	69.2	72	78	74.9	81
27	70.5	69	71.9	78	74.9	81
26	70.3	68.8	71.8	78	74.8	81
25	70.1	68.6	71.6	78	74.8	81
24	69.9	68.4	71.5	78	74.8	81
23	69.8	68.2	71.3	77.9	74.8	81
22	69.6	68	71.2	77.9	74.7	81
21	69.4	67.8	71.1	77.9	74.7	81
20	69.3	67.6	70.9	77.9	74.7	81
19	69.1	67.4	70.8	77.9	74.7	80.9
18	69	67.2	70.7	77.8	74.6	80.9
17	68.8	67.1	70.6	77.8	74.6	80.9
16	68.7	67	70.4	77.8	74.6	80.9
15	68.6	66.8	70.3	77.8	74.6	80.9
14	68.5	66.7	70.2	77.8	74.6	80.9
13	68.4	66.6	70.1	77.8	74.6	80.9
12	68.3	66.5	70	77.8	74.6	80.9
11	68.2	66.4	69.9	77.8	74.6	80.9
10	68	66.3	69.8	77.8	74.6	80.9
9	67.9	66.1	69.7	77.8	74.5	80.9
8	67.7	65.9	69.5	77.8	74.5	80.9
7	67.5	65.7	69.4	77.8	74.5	80.9
6	67.3	65.5	69.1	77.8	74.5	80.9
5	67	65.2	68.9	77.8	74.5	80.9
4	66.7	64.9	68.6	77.7	74.5	80.9
3	66.4	64.5	68.3	77.7	74.5	80.8
2	66	64.1	67.9	77.7	74.5	80.8
1	65.5	63.6	67.4	77.7	74.5	80.8
0	62.4	60.2	64.6	77.5	74.3	80.6

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 78.1 in Hungary, rising to 78.6 and 82.6 at 65, and to 85.9 and 88.1 at 80 — higher than the 62.4 and 77.5 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 Hungary.

Probability of surviving to a given age

Chart Table

DR Congo

Male

Female

Hungary

Male

Female

1x

Age	Survival probability
	DR Congo			Hungary
	Average	Male	Female	Average	Male	Female
100	0.09%	0.04%	0.14%	0.94%	0.51%	1.3%
99	0.15%	0.07%	0.23%	1.43%	0.79%	1.99%
98	0.25%	0.13%	0.37%	2.12%	1.18%	2.92%
97	0.4%	0.21%	0.58%	3.03%	1.71%	4.17%
96	0.61%	0.34%	0.88%	4.21%	2.42%	5.76%
95	0.92%	0.54%	1.3%	5.67%	3.31%	7.72%
94	1.34%	0.83%	1.85%	7.46%	4.44%	10.1%
93	1.9%	1.24%	2.56%	9.59%	5.84%	12.9%
92	2.62%	1.79%	3.45%	12%	7.51%	16%
91	3.52%	2.51%	4.53%	14.8%	9.39%	19.5%
90	4.61%	3.42%	5.82%	17.7%	11.5%	23.2%
89	5.92%	4.52%	7.34%	20.8%	13.8%	27.2%
88	7.45%	5.83%	9.1%	24.1%	16.3%	31.2%
87	9.2%	7.33%	11.1%	27.5%	18.9%	35.4%
86	11.2%	9.03%	13.3%	31%	21.7%	39.6%
85	13.3%	10.9%	15.8%	34.6%	24.6%	43.7%
84	15.7%	13%	18.4%	38.1%	27.6%	47.8%
83	18.2%	15.2%	21.2%	41.6%	30.7%	51.7%
82	20.8%	17.6%	24%	44.9%	33.7%	55.4%
81	23.5%	20.1%	27%	48.2%	36.8%	58.9%
80	26.3%	22.6%	30%	51.3%	39.9%	62.1%
79	29.1%	25.3%	33%	54.3%	42.9%	65%
78	31.9%	27.9%	35.9%	57%	45.7%	67.7%
77	34.6%	30.5%	38.8%	59.6%	48.6%	70.1%
76	37.3%	33.2%	41.6%	62.1%	51.3%	72.4%
75	40%	35.7%	44.4%	64.4%	53.9%	74.4%
74	42.6%	38.3%	47%	66.5%	56.4%	76.3%
73	45.1%	40.8%	49.6%	68.6%	58.9%	78%
72	47.5%	43.1%	52%	70.5%	61.2%	79.6%
71	49.8%	45.4%	54.3%	72.4%	63.5%	81.1%
70	52%	47.6%	56.5%	74.2%	65.8%	82.5%
69	54.1%	49.7%	58.5%	75.9%	67.9%	83.8%
68	56%	51.7%	60.4%	77.5%	70.1%	85%
67	57.9%	53.6%	62.2%	79.2%	72.1%	86.2%
66	59.6%	55.4%	63.9%	80.7%	74.1%	87.3%
65	61.3%	57.2%	65.4%	82.2%	76.1%	88.3%
64	62.8%	58.8%	66.9%	83.6%	78.1%	89.3%
63	64.3%	60.3%	68.3%	85%	79.9%	90.2%
62	65.6%	61.8%	69.5%	86.3%	81.6%	91%
61	66.9%	63.2%	70.6%	87.5%	83.2%	91.8%
60	68%	64.4%	71.7%	88.6%	84.8%	92.6%
59	69.1%	65.6%	72.7%	89.7%	86.2%	93.3%
58	70.1%	66.7%	73.6%	90.6%	87.5%	93.9%
57	71.1%	67.8%	74.5%	91.6%	88.8%	94.5%
56	72%	68.8%	75.3%	92.4%	89.9%	95%
55	72.9%	69.8%	76.1%	93.2%	91%	95.5%
54	73.7%	70.7%	76.8%	93.9%	91.9%	96%
53	74.5%	71.6%	77.5%	94.5%	92.8%	96.4%
52	75.3%	72.5%	78.2%	95.1%	93.5%	96.7%
51	76%	73.3%	78.9%	95.6%	94.2%	97%
50	76.7%	74.1%	79.5%	96%	94.8%	97.3%
49	77.4%	74.8%	80%	96.4%	95.3%	97.6%
48	78%	75.4%	80.5%	96.8%	95.8%	97.8%
47	78.5%	76.1%	81%	97.1%	96.2%	98%
46	79.1%	76.7%	81.5%	97.3%	96.5%	98.1%
45	79.6%	77.3%	82%	97.5%	96.8%	98.3%
44	80.1%	77.9%	82.5%	97.7%	97.1%	98.4%
43	80.7%	78.4%	82.9%	97.9%	97.3%	98.5%
42	81.2%	79%	83.4%	98%	97.5%	98.6%
41	81.6%	79.5%	83.8%	98.2%	97.7%	98.7%
40	82.1%	80%	84.2%	98.3%	97.8%	98.8%
39	82.5%	80.5%	84.6%	98.4%	98%	98.9%
38	83%	80.9%	85%	98.5%	98.1%	99%
37	83.4%	81.4%	85.4%	98.6%	98.2%	99%
36	83.8%	81.8%	85.7%	98.7%	98.3%	99.1%
35	84.1%	82.3%	86.1%	98.8%	98.4%	99.1%
34	84.5%	82.7%	86.4%	98.8%	98.5%	99.2%
33	84.9%	83.1%	86.7%	98.9%	98.6%	99.2%
32	85.3%	83.5%	87.1%	99%	98.7%	99.3%
31	85.6%	83.9%	87.4%	99%	98.8%	99.3%
30	86%	84.4%	87.7%	99.1%	98.8%	99.3%
29	86.4%	84.8%	88%	99.1%	98.9%	99.4%
28	86.7%	85.1%	88.3%	99.2%	99%	99.4%
27	87.1%	85.5%	88.6%	99.2%	99%	99.4%
26	87.4%	85.9%	88.9%	99.3%	99.1%	99.4%
25	87.7%	86.3%	89.1%	99.3%	99.1%	99.4%
24	88.1%	86.7%	89.4%	99.3%	99.2%	99.5%
23	88.4%	87.1%	89.7%	99.4%	99.2%	99.5%
22	88.7%	87.5%	89.9%	99.4%	99.3%	99.5%
21	89%	87.9%	90.2%	99.4%	99.3%	99.5%
20	89.3%	88.3%	90.4%	99.5%	99.4%	99.5%
19	89.6%	88.6%	90.6%	99.5%	99.4%	99.6%
18	89.9%	88.9%	90.9%	99.5%	99.5%	99.6%
17	90.1%	89.2%	91.1%	99.5%	99.5%	99.6%
16	90.3%	89.5%	91.2%	99.6%	99.5%	99.6%
15	90.5%	89.7%	91.4%	99.6%	99.5%	99.6%
14	90.7%	89.9%	91.6%	99.6%	99.6%	99.6%
13	90.9%	90%	91.7%	99.6%	99.6%	99.6%
12	91.1%	90.2%	91.9%	99.6%	99.6%	99.6%
11	91.2%	90.4%	92.1%	99.6%	99.6%	99.6%
10	91.4%	90.6%	92.2%	99.6%	99.6%	99.7%
9	91.6%	90.9%	92.4%	99.6%	99.6%	99.7%
8	91.9%	91.1%	92.7%	99.6%	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%	99.6%	99.7%
5	92.9%	92.3%	93.6%	99.7%	99.6%	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%	99.7%

This chart shows the odds of living to each age from birth. 68% of newborns in the DR Congo and 88.6% in Hungary are expected to live past 60, 52% and 74.2% past 70, 26.3% and 51.3% past 80, and only 4.61% and 17.7% 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

Hungary

Male

Female

1x

Age	Probability of dying
	DR Congo			Hungary
	Average	Male	Female	Average	Male	Female
100	43%	46.5%	42.1%	36.8%	37.4%	36.6%
99	41%	44.6%	40%	34.6%	35.3%	34.4%
98	39.2%	42.6%	38.2%	32.3%	33.2%	32.1%
97	37.3%	40.6%	36.2%	30.2%	31.2%	29.9%
96	35.4%	38.6%	34.1%	28%	29.2%	27.6%
95	33.4%	36.7%	32%	25.8%	26.9%	25.4%
94	31.3%	34.8%	29.8%	24%	25.4%	23.5%
93	29.4%	32.9%	27.7%	22.2%	24.1%	21.6%
92	27.4%	30.8%	25.7%	20.3%	22.1%	19.7%
91	25.6%	28.7%	23.9%	18.4%	20%	17.8%
90	23.8%	26.5%	22.2%	16.7%	18.3%	16.1%
89	22.1%	24.4%	20.7%	15%	16.7%	14.4%
88	20.5%	22.4%	19.3%	13.6%	15.3%	12.9%
87	19%	20.5%	18%	12.4%	14%	11.8%
86	17.6%	18.8%	16.7%	11.3%	12.8%	10.6%
85	16.2%	17.3%	15.5%	10.2%	11.8%	9.49%
84	15%	15.9%	14.3%	9.27%	10.9%	8.51%
83	13.8%	14.7%	13.1%	8.38%	9.98%	7.59%
82	12.6%	13.5%	12%	7.51%	9.13%	6.67%
81	11.6%	12.4%	10.9%	6.77%	8.41%	5.89%
80	10.5%	11.3%	9.95%	6.09%	7.68%	5.2%
79	9.61%	10.4%	9.03%	5.4%	6.91%	4.53%
78	8.76%	9.47%	8.2%	4.84%	6.33%	3.95%
77	7.99%	8.65%	7.46%	4.38%	5.85%	3.48%
76	7.3%	7.91%	6.79%	3.94%	5.31%	3.09%
75	6.67%	7.24%	6.2%	3.55%	4.81%	2.75%
74	6.1%	6.63%	5.65%	3.24%	4.45%	2.45%
73	5.57%	6.06%	5.15%	2.99%	4.15%	2.21%
72	5.07%	5.54%	4.68%	2.77%	3.88%	2.01%
71	4.62%	5.05%	4.25%	2.58%	3.63%	1.82%
70	4.2%	4.61%	3.85%	2.4%	3.4%	1.67%
69	3.82%	4.21%	3.48%	2.25%	3.19%	1.56%
68	3.48%	3.86%	3.16%	2.14%	3.02%	1.47%
67	3.18%	3.54%	2.87%	2.02%	2.87%	1.37%
66	2.92%	3.27%	2.61%	1.88%	2.71%	1.23%
65	2.68%	3.02%	2.38%	1.81%	2.63%	1.14%
64	2.46%	2.78%	2.17%	1.75%	2.53%	1.09%
63	2.25%	2.56%	1.98%	1.61%	2.29%	1.02%
62	2.06%	2.35%	1.8%	1.47%	2.05%	0.94%
61	1.88%	2.15%	1.63%	1.38%	1.94%	0.87%
60	1.71%	1.96%	1.48%	1.28%	1.8%	0.8%
59	1.57%	1.8%	1.35%	1.18%	1.65%	0.74%
58	1.45%	1.67%	1.24%	1.1%	1.54%	0.68%
57	1.35%	1.56%	1.16%	1.01%	1.42%	0.62%
56	1.27%	1.47%	1.09%	0.92%	1.28%	0.56%
55	1.21%	1.4%	1.03%	0.83%	1.14%	0.51%
54	1.15%	1.33%	0.98%	0.74%	1.02%	0.47%
53	1.09%	1.27%	0.92%	0.66%	0.91%	0.42%
52	1.03%	1.2%	0.87%	0.59%	0.81%	0.36%
51	0.96%	1.12%	0.81%	0.52%	0.72%	0.32%
50	0.89%	1.04%	0.75%	0.47%	0.64%	0.3%
49	0.83%	0.96%	0.7%	0.41%	0.56%	0.26%
48	0.77%	0.89%	0.65%	0.35%	0.48%	0.22%
47	0.73%	0.84%	0.62%	0.31%	0.41%	0.2%
46	0.69%	0.8%	0.6%	0.27%	0.35%	0.18%
45	0.67%	0.76%	0.58%	0.23%	0.3%	0.15%
44	0.65%	0.74%	0.57%	0.19%	0.26%	0.13%
43	0.63%	0.71%	0.56%	0.17%	0.22%	0.12%
42	0.61%	0.69%	0.54%	0.16%	0.2%	0.11%
41	0.59%	0.66%	0.52%	0.14%	0.18%	0.09%
40	0.56%	0.63%	0.5%	0.12%	0.16%	0.08%
39	0.54%	0.6%	0.47%	0.11%	0.14%	0.08%
38	0.51%	0.58%	0.45%	0.1%	0.13%	0.07%
37	0.49%	0.56%	0.43%	0.09%	0.12%	0.06%
36	0.47%	0.54%	0.41%	0.09%	0.12%	0.06%
35	0.46%	0.53%	0.4%	0.08%	0.11%	0.06%
34	0.45%	0.52%	0.39%	0.07%	0.1%	0.05%
33	0.44%	0.51%	0.38%	0.07%	0.09%	0.04%
32	0.44%	0.5%	0.37%	0.07%	0.09%	0.04%
31	0.43%	0.49%	0.36%	0.06%	0.08%	0.04%
30	0.42%	0.48%	0.36%	0.05%	0.07%	0.03%
29	0.41%	0.47%	0.35%	0.05%	0.07%	0.03%
28	0.4%	0.47%	0.34%	0.05%	0.07%	0.03%
27	0.4%	0.46%	0.33%	0.04%	0.06%	0.02%
26	0.39%	0.46%	0.32%	0.04%	0.06%	0.02%
25	0.38%	0.46%	0.31%	0.04%	0.05%	0.02%
24	0.38%	0.46%	0.3%	0.04%	0.05%	0.02%
23	0.37%	0.46%	0.29%	0.03%	0.05%	0.02%
22	0.37%	0.45%	0.28%	0.03%	0.04%	0.02%
21	0.35%	0.44%	0.27%	0.03%	0.04%	0.02%
20	0.34%	0.41%	0.26%	0.03%	0.05%	0.02%
19	0.32%	0.38%	0.25%	0.03%	0.05%	0.02%
18	0.29%	0.34%	0.24%	0.03%	0.04%	0.02%
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%	0.02%	0.01%
14	0.2%	0.22%	0.18%	0.01%	0.02%	0.01%
13	0.19%	0.21%	0.17%	0.01%	0.01%	0.008%
12	0.19%	0.2%	0.17%	0.009%	0.01%	0.006%
11	0.19%	0.21%	0.18%	0.007%	0.008%	0.005%
10	0.21%	0.23%	0.19%	0.008%	0.009%	0.008%
9	0.24%	0.26%	0.22%	0.01%	0.01%	0.009%
8	0.28%	0.3%	0.25%	0.008%	0.01%	0.006%
7	0.32%	0.35%	0.29%	0.007%	0.007%	0.007%
6	0.37%	0.41%	0.34%	0.007%	0.006%	0.008%
5	0.43%	0.47%	0.4%	0.008%	0.009%	0.007%
4	0.5%	0.54%	0.46%	0.01%	0.01%	0.008%
3	0.57%	0.61%	0.52%	0.01%	0.01%	0.01%
2	0.65%	0.69%	0.6%	0.02%	0.02%	0.01%
1	0.74%	0.79%	0.69%	0.02%	0.02%	0.03%
0	4.74%	5.25%	4.22%	0.27%	0.29%	0.25%

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

The annual chance of dying is 4.74% in the birth year in the DR Congo and 0.27% in Hungary, 0.42% vs 0.05% at age 30, 1.71% vs 1.28% at 60, and 10.5% vs 6.09% at 80.

Death rate by age in DR Congo vs Hungary

Chart Table

DR Congo

Male

Female

Hungary

Male

Female

1x

Age	Death rate
	DR Congo			Hungary
	Total	Male	Female	Total	Male	Female
100	0	0	0	217.8	97.2	320
99	62	32	91.8	495	277.8	683
98	97.5	53.2	141.6	684	391	938
97	148	85.4	210.7	915	535	1,245
96	216.9	132.6	302	1,180	706	1,592
95	307	199.2	415	1,464	892	1,963
94	420	289.7	552	1,787	1,128	2,368
93	557	407	709	2,133	1,406	2,782
92	718	552	886	2,445	1,662	3,153
91	900	721	1,082	2,712	1,880	3,470
90	1,099	907	1,294	2,952	2,096	3,745
89	1,310	1,104	1,520	3,133	2,304	3,918
88	1,528	1,304	1,756	3,276	2,490	4,033
87	1,746	1,503	1,994	3,416	2,642	4,164
86	1,959	1,699	2,225	3,500	2,779	4,202
85	2,160	1,888	2,438	3,529	2,901	4,148
84	2,342	2,067	2,625	3,532	2,998	4,063
83	2,499	2,231	2,776	3,485	3,058	3,921
82	2,625	2,371	2,886	3,376	3,081	3,693
81	2,716	2,484	2,954	3,263	3,096	3,467
80	2,771	2,565	2,983	3,126	3,064	3,230
79	2,794	2,617	2,977	2,932	2,961	2,946
78	2,791	2,641	2,945	2,759	2,895	2,678
77	2,766	2,642	2,893	2,610	2,840	2,442
76	2,724	2,624	2,827	2,449	2,724	2,235
75	2,669	2,589	2,749	2,284	2,592	2,044
74	2,597	2,537	2,657	2,153	2,511	1,867
73	2,511	2,470	2,552	2,051	2,442	1,723
72	2,412	2,389	2,435	1,957	2,374	1,599
71	2,302	2,296	2,307	1,865	2,307	1,479
70	2,185	2,196	2,173	1,778	2,237	1,375
69	2,067	2,094	2,038	1,711	2,168	1,304
68	1,952	1,995	1,907	1,663	2,118	1,253
67	1,843	1,901	1,784	1,602	2,067	1,180
66	1,741	1,811	1,668	1,520	2,006	1,070
65	1,642	1,725	1,559	1,490	2,000	1,009
64	1,545	1,637	1,452	1,462	1,972	974
63	1,448	1,546	1,349	1,369	1,830	921
62	1,350	1,452	1,248	1,264	1,677	857
61	1,254	1,356	1,151	1,206	1,614	799
60	1,164	1,265	1,061	1,134	1,524	742
59	1,082	1,181	982	1,056	1,420	688
58	1,014	1,111	915	995	1,348	637
57	959	1,055	862	925	1,258	584
56	916	1,011	819	847	1,151	532
55	881	976	784	769	1,041	488
54	848	943	751	697	938	447
53	813	907	717	628	845	402
52	774	866	680	560	760	352
51	729	818	639	500	680	313
50	683	768	597	450	603	288.7
49	639	718	559	394	532	251
48	602	674	527	341	464	212.8
47	572	638	503	297.3	398	192.6
46	550	611	487	258.4	339	175.1
45	534	590	476	219.6	290.2	146.8
44	522	573	469	189.8	249.5	127.5
43	510	558	461	168.8	218.7	116.5
42	496	541	450	153.4	198.8	106
41	480	523	436	136.8	179	92.1
40	461	503	418	116.2	153	76.9
39	442	484	398	107	136.8	75
38	424	466	380	101.8	128.2	73.1
37	408	452	363	91.6	120.6	60.1
36	396	441	350	86.7	114	57.2
35	388	434	340	82.6	106.1	57.3
34	381	428	333	72.8	95	48.8
33	376	423	328	65.3	87.5	41.3
32	371	418	323	64.7	85.9	42
31	366	412	319	56.5	76.5	35
30	361	407	313	48.8	68.4	27.8
29	355	401	307	50.4	70.4	28.8
28	350	398	299.9	47.4	67.4	25.9
27	345	397	291.6	41.7	60.7	21.6
26	341	398	282.8	39.3	56	21.3
25	338	400	273.8	38.3	53.9	21.5
24	335	403	265.4	36.4	52.5	19.2
23	331	402	258	34.2	48.2	19.4
22	325	397	251.5	32.9	44.1	21.1
21	315	384	245.4	33	43.7	21.5
20	302	364	238.6	33.7	46.4	20.3
19	283.9	337	229.9	33.6	48.1	18.3
18	262.3	306	218.4	29.2	40.9	17
17	238.7	272.7	204.2	22.5	29.9	14.7
16	215.6	241.9	188.8	16.7	22.3	10.9
15	195	215.6	174.2	13.8	17.7	9.68
14	179.5	196.1	162.6	12.4	15.1	9.53
13	170.6	184.9	156	10.8	13.6	7.82
12	169.3	182.8	155.5	8.56	11.3	5.71
11	176.5	190.4	162.3	6.7	8.01	5.31
10	192.5	207.9	176.9	8.44	9.09	7.74
9	218	235.8	199.9	10.1	11.3	8.86
8	252.8	273.8	231.4	8.36	10.3	6.34
7	296.1	321	270.8	7.08	7.1	7.06
6	347	376	317	7.12	5.85	8.46
5	404	436	370	8.09	9.06	7.07
4	466	502	429	9.76	11.8	7.54
3	534	573	494	12.1	12.3	11.9
2	612	653	570	16.1	20.1	12
1	706	750	662	24.7	23.2	26.3
0	4,741	5,250	4,223	271.5	290.3	251.6

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 84 in Hungary. The median age of death is 70.9 in the DR Congo and 80.4 in Hungary, 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 Hungary more than their death rates.

Life expectancy in other countries

+ -

1x