Life Expectancy in Congo vs Lithuania (1950-2026)

Life expectancy by current age

Chart Table

Congo

Male

Female

Lithuania

Male

Female

1x

Current age, years	Total life expectancy, years
	Congo			Lithuania
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	102	101.8	102
99	101	101	101	101.1	100.9	101.1
98	100.1	100.2	100.1	100.2	100.1	100.2
97	99.2	99.3	99.1	99.3	99.2	99.3
96	98.3	98.4	98.2	98.5	98.4	98.5
95	97.4	97.5	97.4	97.7	97.6	97.7
94	96.6	96.7	96.5	96.9	96.7	96.9
93	95.7	95.8	95.7	96.1	95.9	96.1
92	94.9	94.9	94.8	95.4	95.2	95.4
91	94	94.1	94	94.6	94.4	94.7
90	93.2	93.3	93.2	94	93.7	94
89	92.4	92.5	92.4	93.3	93	93.4
88	91.6	91.6	91.6	92.6	92.3	92.7
87	90.9	90.9	90.9	92	91.6	92.1
86	90.1	90.1	90.1	91.4	90.9	91.6
85	89.3	89.3	89.4	90.8	90.3	91
84	88.6	88.5	88.7	90.3	89.7	90.5
83	87.9	87.8	88	89.8	89.1	90
82	87.2	87.1	87.3	89.3	88.5	89.6
81	86.5	86.4	86.7	88.8	88	89.2
80	85.9	85.7	86	88.4	87.4	88.8
79	85.2	85	85.4	88	86.9	88.4
78	84.6	84.3	84.8	87.5	86.4	88.1
77	84	83.7	84.3	87.1	85.8	87.8
76	83.4	83.1	83.7	86.8	85.3	87.5
75	82.9	82.5	83.2	86.4	84.8	87.2
74	82.3	81.9	82.7	86	84.3	86.9
73	81.8	81.3	82.2	85.6	83.8	86.6
72	81.3	80.8	81.7	85.3	83.3	86.4
71	80.8	80.3	81.3	84.9	82.9	86.1
70	80.3	79.8	80.8	84.6	82.4	85.9
69	79.9	79.3	80.4	84.2	81.9	85.7
68	79.5	78.8	80	83.9	81.5	85.5
67	79.1	78.4	79.7	83.6	81	85.3
66	78.7	77.9	79.3	83.3	80.6	85.1
65	78.3	77.5	79	82.9	80.2	84.9
64	77.9	77.1	78.6	82.6	79.8	84.7
63	77.6	76.7	78.3	82.3	79.4	84.5
62	77.2	76.4	78	82.1	79	84.3
61	76.9	76	77.7	81.8	78.7	84.2
60	76.6	75.6	77.4	81.5	78.3	84
59	76.3	75.3	77.2	81.3	78	83.9
58	76	75	76.9	81.1	77.7	83.7
57	75.7	74.7	76.7	80.9	77.4	83.6
56	75.4	74.4	76.4	80.7	77.2	83.5
55	75.1	74.1	76.2	80.4	76.9	83.4
54	74.9	73.8	75.9	80.2	76.6	83.3
53	74.6	73.5	75.7	80.1	76.4	83.2
52	74.4	73.2	75.5	79.9	76.2	83.1
51	74.1	73	75.3	79.7	75.9	82.9
50	73.9	72.7	75.1	79.5	75.7	82.9
49	73.7	72.5	74.9	79.4	75.5	82.8
48	73.5	72.2	74.7	79.2	75.3	82.7
47	73.3	72	74.5	79.1	75.1	82.6
46	73.1	71.8	74.3	78.9	74.9	82.5
45	72.9	71.6	74.1	78.8	74.8	82.4
44	72.7	71.4	74	78.7	74.6	82.3
43	72.5	71.2	73.8	78.5	74.4	82.3
42	72.3	71	73.7	78.4	74.3	82.2
41	72.2	70.9	73.5	78.3	74.1	82.2
40	72	70.7	73.3	78.2	74	82.1
39	71.9	70.5	73.2	78.1	73.9	82
38	71.7	70.4	73.1	78	73.7	82
37	71.6	70.2	72.9	77.9	73.6	81.9
36	71.4	70.1	72.8	77.8	73.5	81.9
35	71.3	69.9	72.7	77.7	73.4	81.9
34	71.2	69.8	72.5	77.6	73.3	81.8
33	71	69.6	72.4	77.6	73.2	81.8
32	70.9	69.5	72.3	77.5	73.1	81.7
31	70.8	69.4	72.2	77.4	73	81.7
30	70.7	69.3	72.1	77.4	72.9	81.7
29	70.6	69.1	72	77.3	72.8	81.7
28	70.5	69	71.9	77.3	72.7	81.6
27	70.3	68.9	71.8	77.2	72.7	81.6
26	70.2	68.8	71.7	77.2	72.6	81.6
25	70.1	68.7	71.6	77.1	72.6	81.6
24	70.1	68.6	71.5	77.1	72.5	81.6
23	70	68.5	71.5	77.1	72.5	81.5
22	69.9	68.4	71.4	77	72.4	81.5
21	69.8	68.3	71.3	77	72.4	81.5
20	69.7	68.2	71.2	77	72.3	81.5
19	69.6	68.1	71.2	76.9	72.3	81.5
18	69.6	68	71.1	76.9	72.2	81.4
17	69.5	68	71.1	76.9	72.2	81.4
16	69.4	67.9	71	76.9	72.2	81.4
15	69.4	67.8	71	76.8	72.2	81.4
14	69.3	67.8	70.9	76.8	72.2	81.4
13	69.3	67.8	70.9	76.8	72.1	81.4
12	69.3	67.7	70.8	76.8	72.1	81.4
11	69.2	67.7	70.8	76.8	72.1	81.4
10	69.2	67.6	70.8	76.8	72.1	81.4
9	69.2	67.6	70.7	76.8	72.1	81.4
8	69.1	67.5	70.7	76.8	72.1	81.3
7	69.1	67.5	70.6	76.8	72.1	81.3
6	69	67.4	70.6	76.8	72.1	81.3
5	68.9	67.4	70.5	76.8	72.1	81.3
4	68.8	67.3	70.4	76.7	72.1	81.3
3	68.7	67.2	70.3	76.7	72.1	81.3
2	68.5	67	70.1	76.7	72	81.3
1	68.2	66.7	69.8	76.7	72	81.3
0	66.4	64.7	68.2	76.5	71.8	81.1

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 Congo can expect to live to 70.7 years compared to 77.4 in Lithuania, rising to 78.3 and 82.9 at 65, and to 85.9 and 88.4 at 80 — higher than the 66.4 and 76.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Congo

Male

Female

Lithuania

Male

Female

1x

Age	Survival probability
	Congo			Lithuania
	Average	Male	Female	Average	Male	Female
100	0.12%	0.11%	0.13%	0.83%	0.39%	1.21%
99	0.19%	0.17%	0.22%	1.32%	0.62%	1.92%
98	0.3%	0.26%	0.35%	2.01%	0.95%	2.92%
97	0.46%	0.39%	0.54%	2.95%	1.42%	4.28%
96	0.69%	0.57%	0.82%	4.19%	2.04%	6.06%
95	1.01%	0.81%	1.2%	5.75%	2.85%	8.27%
94	1.43%	1.14%	1.72%	7.68%	3.93%	11%
93	1.98%	1.57%	2.4%	10%	5.28%	14.2%
92	2.68%	2.12%	3.27%	12.6%	6.79%	17.7%
91	3.55%	2.8%	4.34%	15.4%	8.41%	21.6%
90	4.63%	3.64%	5.65%	18.6%	10.4%	25.8%
89	5.9%	4.65%	7.2%	21.9%	12.6%	30.1%
88	7.39%	5.84%	9%	25.3%	14.8%	34.6%
87	9.11%	7.23%	11.1%	28.8%	17.3%	39.2%
86	11%	8.81%	13.3%	32.4%	19.9%	43.6%
85	13.2%	10.6%	15.9%	35.8%	22.5%	47.9%
84	15.5%	12.6%	18.6%	39.2%	25.1%	51.9%
83	18.1%	14.8%	21.5%	42.4%	27.8%	55.7%
82	20.7%	17.1%	24.5%	45.4%	30.5%	59.1%
81	23.5%	19.6%	27.5%	48.3%	33.2%	62.3%
80	26.4%	22.2%	30.7%	51.1%	35.8%	65.3%
79	29.3%	24.9%	33.8%	53.6%	38.4%	67.9%
78	32.3%	27.7%	37%	56%	40.9%	70.3%
77	35.3%	30.5%	40.1%	58.3%	43.5%	72.5%
76	38.2%	33.4%	43.2%	60.6%	46.1%	74.5%
75	41.2%	36.3%	46.2%	62.7%	48.6%	76.3%
74	44%	39.1%	49%	64.7%	51.1%	78.1%
73	46.8%	41.9%	51.8%	66.7%	53.5%	79.6%
72	49.5%	44.7%	54.4%	68.6%	55.9%	81.1%
71	52.1%	47.3%	56.9%	70.4%	58.2%	82.4%
70	54.5%	49.9%	59.3%	72.1%	60.5%	83.6%
69	56.9%	52.4%	61.5%	73.7%	62.7%	84.8%
68	59.1%	54.8%	63.5%	75.3%	64.9%	85.9%
67	61.2%	57%	65.5%	76.8%	67%	86.9%
66	63.2%	59.1%	67.3%	78.3%	69.1%	87.9%
65	65.1%	61.2%	69%	79.8%	71.1%	88.8%
64	66.9%	63.1%	70.6%	81.1%	73%	89.6%
63	68.5%	65%	72.1%	82.3%	74.8%	90.3%
62	70.1%	66.8%	73.6%	83.5%	76.4%	91%
61	71.6%	68.4%	74.9%	84.6%	78%	91.7%
60	73.1%	70%	76.1%	85.7%	79.5%	92.3%
59	74.4%	71.5%	77.3%	86.6%	80.8%	92.8%
58	75.6%	72.9%	78.4%	87.5%	82.1%	93.3%
57	76.8%	74.3%	79.4%	88.3%	83.2%	93.7%
56	77.9%	75.5%	80.4%	89%	84.4%	94.1%
55	79%	76.7%	81.3%	89.8%	85.4%	94.5%
54	80%	77.9%	82.2%	90.5%	86.4%	94.9%
53	81%	79%	83%	91.1%	87.4%	95.3%
52	81.9%	80%	83.8%	91.7%	88.2%	95.6%
51	82.8%	81%	84.6%	92.3%	89%	95.9%
50	83.6%	81.9%	85.3%	92.8%	89.7%	96.2%
49	84.3%	82.8%	86%	93.3%	90.4%	96.5%
48	85.1%	83.6%	86.6%	93.7%	91.1%	96.7%
47	85.7%	84.3%	87.2%	94.2%	91.8%	97%
46	86.4%	85%	87.8%	94.6%	92.3%	97.2%
45	87%	85.7%	88.3%	95%	92.9%	97.4%
44	87.6%	86.3%	88.8%	95.4%	93.4%	97.6%
43	88.1%	86.9%	89.3%	95.7%	93.9%	97.8%
42	88.6%	87.5%	89.7%	96%	94.3%	97.9%
41	89.1%	88%	90.2%	96.3%	94.8%	98%
40	89.5%	88.5%	90.6%	96.6%	95.2%	98.2%
39	90%	89%	91%	96.9%	95.6%	98.3%
38	90.4%	89.5%	91.4%	97.1%	96%	98.4%
37	90.8%	89.9%	91.7%	97.4%	96.3%	98.5%
36	91.1%	90.3%	92%	97.6%	96.6%	98.6%
35	91.5%	90.6%	92.4%	97.8%	96.9%	98.7%
34	91.8%	91%	92.6%	97.9%	97.1%	98.8%
33	92.1%	91.3%	92.9%	98.1%	97.4%	98.9%
32	92.4%	91.7%	93.2%	98.3%	97.6%	99%
31	92.7%	92%	93.4%	98.4%	97.8%	99%
30	93%	92.2%	93.7%	98.5%	98%	99.1%
29	93.2%	92.5%	93.9%	98.6%	98.2%	99.1%
28	93.4%	92.8%	94.1%	98.7%	98.3%	99.2%
27	93.7%	93%	94.3%	98.8%	98.5%	99.2%
26	93.9%	93.3%	94.5%	98.9%	98.6%	99.2%
25	94.1%	93.5%	94.7%	99%	98.7%	99.3%
24	94.3%	93.7%	94.9%	99.1%	98.8%	99.3%
23	94.5%	94%	95%	99.1%	98.9%	99.3%
22	94.7%	94.2%	95.2%	99.2%	99%	99.4%
21	94.8%	94.4%	95.3%	99.2%	99.1%	99.4%
20	95%	94.5%	95.4%	99.3%	99.2%	99.4%
19	95.1%	94.7%	95.6%	99.4%	99.3%	99.5%
18	95.3%	94.9%	95.7%	99.4%	99.4%	99.5%
17	95.4%	95%	95.8%	99.5%	99.4%	99.5%
16	95.5%	95.1%	95.9%	99.5%	99.4%	99.5%
15	95.6%	95.2%	95.9%	99.5%	99.5%	99.5%
14	95.7%	95.3%	96%	99.5%	99.5%	99.6%
13	95.7%	95.4%	96.1%	99.6%	99.5%	99.6%
12	95.8%	95.4%	96.1%	99.6%	99.6%	99.6%
11	95.8%	95.5%	96.2%	99.6%	99.6%	99.6%
10	95.9%	95.6%	96.2%	99.6%	99.6%	99.6%
9	96%	95.6%	96.3%	99.6%	99.6%	99.6%
8	96%	95.7%	96.4%	99.6%	99.6%	99.6%
7	96.1%	95.8%	96.4%	99.6%	99.6%	99.6%
6	96.2%	95.9%	96.5%	99.6%	99.6%	99.7%
5	96.3%	96%	96.6%	99.6%	99.6%	99.7%
4	96.4%	96.1%	96.8%	99.7%	99.6%	99.7%
3	96.6%	96.3%	96.9%	99.7%	99.7%	99.7%
2	96.9%	96.6%	97.2%	99.7%	99.7%	99.7%
1	97.3%	97%	97.7%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 73.1% of newborns in the Congo and 85.7% in Lithuania are expected to live past 60, 54.5% and 72.1% past 70, 26.4% and 51.1% past 80, and only 4.63% and 18.6% 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

Lithuania

Male

Female

1x

Age	Probability of dying
	Congo			Lithuania
	Average	Male	Female	Average	Male	Female
100	39.6%	37.4%	41.1%	39.3%	39.3%	39.3%
99	38%	36.1%	39.4%	36.9%	37.2%	36.8%
98	36.2%	34.3%	37.4%	34.4%	35%	34.3%
97	34.6%	33.1%	35.6%	32%	32.8%	31.8%
96	33%	31.7%	33.8%	29.6%	30.6%	29.3%
95	31.3%	30.3%	32%	27.1%	28.5%	26.8%
94	29.6%	28.8%	30.1%	25.2%	27.3%	24.6%
93	27.9%	27.3%	28.2%	23.2%	25.7%	22.5%
92	26.2%	25.8%	26.5%	20.7%	22.1%	20.2%
91	24.5%	24.3%	24.7%	18.3%	19.3%	18%
90	23.2%	23.1%	23.2%	16.8%	19.1%	16.1%
89	21.6%	21.6%	21.5%	15.2%	17.3%	14.5%
88	20.2%	20.4%	20%	13.5%	15.1%	13%
87	18.8%	19.2%	18.6%	12.3%	14.4%	11.6%
86	17.6%	18%	17.2%	11%	13.1%	10.2%
85	16.3%	16.9%	15.9%	9.6%	11.4%	8.93%
84	15.1%	15.8%	14.6%	8.47%	10.4%	7.75%
83	13.9%	14.7%	13.4%	7.54%	9.67%	6.7%
82	12.9%	13.7%	12.3%	6.69%	8.81%	5.82%
81	11.8%	12.6%	11.2%	6.01%	8.11%	5.12%
80	11%	11.8%	10.3%	5.41%	7.44%	4.51%
79	9.99%	10.9%	9.34%	4.77%	6.65%	3.91%
78	9.21%	10.1%	8.55%	4.3%	6.23%	3.39%
77	8.41%	9.26%	7.75%	3.98%	6%	2.98%
76	7.74%	8.57%	7.08%	3.69%	5.61%	2.7%
75	7.11%	7.91%	6.46%	3.4%	5.16%	2.45%
74	6.5%	7.28%	5.86%	3.14%	4.82%	2.19%
73	5.94%	6.7%	5.32%	2.93%	4.53%	1.99%
72	5.43%	6.16%	4.84%	2.74%	4.26%	1.82%
71	4.91%	5.6%	4.34%	2.54%	4.02%	1.6%
70	4.54%	5.18%	3.99%	2.35%	3.77%	1.44%
69	4.1%	4.7%	3.58%	2.23%	3.51%	1.37%
68	3.76%	4.32%	3.27%	2.11%	3.33%	1.26%
67	3.44%	3.95%	2.97%	2.01%	3.19%	1.16%
66	3.14%	3.62%	2.7%	1.92%	3.03%	1.11%
65	2.9%	3.34%	2.49%	1.79%	2.81%	1.01%
64	2.67%	3.09%	2.28%	1.64%	2.58%	0.9%
63	2.46%	2.86%	2.09%	1.52%	2.36%	0.83%
62	2.28%	2.65%	1.93%	1.41%	2.17%	0.78%
61	2.08%	2.43%	1.76%	1.31%	2.01%	0.71%
60	1.95%	2.28%	1.65%	1.2%	1.86%	0.63%
59	1.78%	2.08%	1.5%	1.09%	1.69%	0.58%
58	1.66%	1.93%	1.4%	0.98%	1.48%	0.54%
57	1.54%	1.79%	1.3%	0.91%	1.39%	0.47%
56	1.44%	1.68%	1.22%	0.86%	1.34%	0.42%
55	1.35%	1.57%	1.14%	0.83%	1.26%	0.42%
54	1.27%	1.47%	1.07%	0.78%	1.16%	0.42%
53	1.19%	1.37%	1.01%	0.7%	1.06%	0.36%
52	1.12%	1.29%	0.95%	0.65%	0.97%	0.34%
51	1.04%	1.19%	0.88%	0.61%	0.88%	0.34%
50	0.98%	1.12%	0.84%	0.56%	0.83%	0.29%
49	0.91%	1.04%	0.78%	0.53%	0.78%	0.27%
48	0.85%	0.97%	0.73%	0.51%	0.74%	0.27%
47	0.79%	0.9%	0.68%	0.48%	0.69%	0.25%
46	0.74%	0.84%	0.64%	0.44%	0.64%	0.23%
45	0.7%	0.79%	0.61%	0.41%	0.6%	0.2%
44	0.65%	0.73%	0.57%	0.38%	0.54%	0.2%
43	0.61%	0.69%	0.54%	0.35%	0.5%	0.19%
42	0.58%	0.65%	0.51%	0.33%	0.49%	0.16%
41	0.54%	0.6%	0.48%	0.31%	0.47%	0.13%
40	0.52%	0.57%	0.46%	0.28%	0.42%	0.13%
39	0.48%	0.53%	0.43%	0.28%	0.41%	0.13%
38	0.45%	0.5%	0.41%	0.27%	0.4%	0.12%
37	0.43%	0.47%	0.38%	0.23%	0.33%	0.11%
36	0.4%	0.44%	0.36%	0.21%	0.3%	0.1%
35	0.38%	0.42%	0.34%	0.2%	0.29%	0.09%
34	0.36%	0.39%	0.32%	0.19%	0.28%	0.09%
33	0.33%	0.37%	0.3%	0.18%	0.26%	0.09%
32	0.32%	0.35%	0.29%	0.15%	0.23%	0.06%
31	0.3%	0.33%	0.27%	0.13%	0.2%	0.06%
30	0.28%	0.31%	0.26%	0.13%	0.19%	0.06%
29	0.27%	0.3%	0.24%	0.13%	0.2%	0.05%
28	0.26%	0.28%	0.23%	0.11%	0.18%	0.04%
27	0.24%	0.27%	0.21%	0.09%	0.14%	0.04%
26	0.23%	0.26%	0.2%	0.08%	0.13%	0.04%
25	0.22%	0.25%	0.19%	0.08%	0.12%	0.03%
24	0.21%	0.24%	0.18%	0.07%	0.11%	0.03%
23	0.2%	0.23%	0.17%	0.07%	0.1%	0.03%
22	0.19%	0.22%	0.16%	0.06%	0.09%	0.03%
21	0.18%	0.21%	0.15%	0.06%	0.08%	0.03%
20	0.17%	0.19%	0.14%	0.06%	0.08%	0.03%
19	0.15%	0.18%	0.13%	0.06%	0.09%	0.03%
18	0.14%	0.16%	0.12%	0.05%	0.07%	0.03%
17	0.12%	0.14%	0.1%	0.03%	0.04%	0.02%
16	0.11%	0.12%	0.09%	0.03%	0.05%	0.02%
15	0.09%	0.1%	0.08%	0.03%	0.04%	0.02%
14	0.08%	0.09%	0.07%	0.03%	0.03%	0.02%
13	0.07%	0.08%	0.07%	0.02%	0.02%	0.02%
12	0.07%	0.07%	0.06%	0.01%	0.02%	0.01%
11	0.06%	0.07%	0.06%	0.01%	0.02%	0.008%
10	0.06%	0.07%	0.06%	0.01%	0.01%	0.01%
9	0.07%	0.07%	0.06%	0.01%	0.009%	0.01%
8	0.07%	0.08%	0.07%	0.01%	0.01%	0.01%
7	0.08%	0.09%	0.07%	0.01%	0.01%	0.01%
6	0.09%	0.1%	0.09%	0.01%	0.009%	0.01%
5	0.11%	0.11%	0.1%	0.009%	0.009%	0.01%
4	0.14%	0.15%	0.14%	0.01%	0.01%	0.01%
3	0.19%	0.2%	0.19%	0.01%	0.01%	0.01%
2	0.28%	0.28%	0.28%	0.01%	0.01%	0.01%
1	0.44%	0.44%	0.45%	0.03%	0.02%	0.03%
0	2.67%	2.99%	2.35%	0.29%	0.3%	0.28%

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

The annual chance of dying is 2.67% in the birth year in the Congo and 0.29% in Lithuania, 0.28% vs 0.13% at age 30, 1.95% vs 1.2% at 60, and 11% vs 5.41% at 80.

Death rate by age in Congo vs Lithuania

Chart Table

Congo

Male

Female

Lithuania

Male

Female

1x

Age	Death rate
	Congo			Lithuania
	Total	Male	Female	Total	Male	Female
100	0	2.72	0	174.6	56.5	274.1
99	73.5	61.5	86.1	485	230.3	706
98	109.4	89.1	130.4	690	333	1,000
97	160.2	128.3	193.1	945	465	1,362
96	227.9	180.2	277	1,240	624	1,777
95	315	246.7	385	1,559	812	2,213
94	422	329	518	1,933	1,074	2,695
93	552	429	678	2,322	1,356	3,186
92	704	547	865	2,605	1,503	3,588
91	872	679	1,070	2,822	1,627	3,887
90	1,072	841	1,311	3,119	1,989	4,148
89	1,273	1,006	1,549	3,315	2,179	4,361
88	1,492	1,193	1,802	3,420	2,242	4,500
87	1,715	1,387	2,053	3,556	2,501	4,539
86	1,939	1,590	2,297	3,561	2,606	4,462
85	2,150	1,791	2,515	3,442	2,562	4,282
84	2,351	1,991	2,715	3,319	2,605	4,028
83	2,519	2,170	2,871	3,194	2,688	3,733
82	2,671	2,343	3,001	3,036	2,683	3,441
81	2,773	2,477	3,069	2,903	2,691	3,191
80	2,898	2,633	3,165	2,761	2,665	2,945
79	2,932	2,706	3,161	2,559	2,550	2,657
78	2,977	2,793	3,163	2,410	2,551	2,381
77	2,969	2,829	3,109	2,321	2,611	2,161
76	2,960	2,862	3,058	2,234	2,586	2,009
75	2,926	2,871	2,980	2,134	2,512	1,873
74	2,861	2,849	2,875	2,030	2,466	1,712
73	2,778	2,808	2,754	1,953	2,423	1,589
72	2,690	2,752	2,634	1,881	2,380	1,473
71	2,558	2,649	2,472	1,785	2,341	1,322
70	2,476	2,586	2,367	1,696	2,284	1,202
69	2,334	2,463	2,201	1,642	2,203	1,159
68	2,223	2,365	2,075	1,590	2,161	1,081
67	2,103	2,254	1,942	1,542	2,140	1,004
66	1,986	2,143	1,819	1,507	2,091	975
65	1,886	2,046	1,717	1,429	2,002	900
64	1,784	1,953	1,609	1,330	1,887	809
63	1,689	1,862	1,510	1,248	1,765	754
62	1,598	1,773	1,420	1,177	1,655	711
61	1,493	1,666	1,319	1,106	1,569	648
60	1,426	1,596	1,254	1,028	1,481	582
59	1,327	1,491	1,163	942	1,363	535
58	1,255	1,411	1,098	857	1,218	506
57	1,182	1,332	1,032	800	1,155	445
56	1,123	1,266	980	766	1,132	394
55	1,067	1,204	927	742	1,077	398
54	1,014	1,144	881	702	1,001	394
53	962	1,084	836	639	928	338
52	915	1,030	797	596	853	327
51	857	966	747	560	787	324
50	820	921	716	518	741	280.7
49	765	859	669	493	708	260
48	721	807	631	475	674	256.5
47	676	757	593	448	630	244.5
46	638	712	561	417	589	222.4
45	605	673	534	391	555	199.3
44	569	631	505	361	507	192
43	539	596	481	336	467	183.2
42	513	565	459	320	461	155.8
41	482	529	434	301	446	132.1
40	461	506	416	275.1	398	130.8
39	434	474	393	271.3	396	125
38	411	448	373	262.3	387	115.9
37	387	422	352	224.5	322	110.3
36	367	399	334	201.3	287.8	100.8
35	347	377	316	194	281.1	93.1
34	326	355	296.8	186.8	269.6	92.7
33	308	336	280.5	172.2	250.4	84.7
32	292.4	319	265.8	148.5	225.2	62.9
31	275.1	301	249.1	130.3	194.6	59.1
30	264.4	288.9	239.4	123.6	182.3	59.6
29	250.5	274.3	226.3	123.7	194.9	46.9
28	238.5	262.8	213.9	109.5	173.6	40.2
27	227.6	252.1	202.6	90.6	138.4	39.5
26	216.8	242.3	190.8	82.1	123.9	38.2
25	206.9	234.1	179.3	77	118.5	33.7
24	197.6	225.7	169	67.9	107	27.3
23	188.3	217.3	158.7	64.5	99.2	28.2
22	178.5	207.8	148.7	62.3	92.2	31.2
21	168	196.6	138.8	56.7	82.6	30
20	158	184.2	131.3	56.2	83.3	28.3
19	146.1	170.3	121.4	62.7	94.3	30
18	133.5	155.1	111.4	50.7	70.8	29.8
17	117.2	133.7	100.4	34.2	43.8	24.1
16	101.9	113.8	89.7	30.9	45.9	15.2
15	88	96.3	79.6	29.1	40.8	16.8
14	76.3	82.8	69.7	25	28.9	20.8
13	68.1	73.3	62.8	19.1	21.8	16.4
12	63	68	58	14.3	18.6	9.7
11	60.8	65.6	55.9	12.2	15.7	8.41
10	61	65.2	56.6	10.5	10.8	10.2
9	63.5	67.8	59.1	10.3	9.11	11.5
8	68.7	73.3	64	12	13.2	10.7
7	76.9	81.7	72	11.3	12	10.7
6	87.5	91.9	82.9	9.63	8.66	10.7
5	104	107.7	100.1	9.42	9.23	9.62
4	135.6	139.5	131.7	11.3	12.2	10.4
3	186.3	189.4	183.1	13.8	14.4	13.1
2	269.7	269.8	269.5	13.2	14.4	11.8
1	433	425	441	25.4	24.3	26.4
0	2,669	2,985	2,347	291.9	305	278.5

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 86 in Lithuania. The median age of death is 71.8 in the Congo and 80.4 in Lithuania, 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 Lithuania more than their death rates.

Life expectancy in other countries

+ -

1x