Life Expectancy in Cameroon vs Lithuania (1950-2026)

Life expectancy by current age

Chart Table

Cameroon

Male

Female

Lithuania

Male

Female

1x

Current age, years	Total life expectancy, years
	Cameroon			Lithuania
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	102	101.8	102
99	101	101	100.9	101.1	100.9	101.1
98	100.1	100.1	100	100.2	100.1	100.2
97	99.1	99.2	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	97.3	97.7	97.6	97.7
94	96.5	96.6	96.4	96.9	96.7	96.9
93	95.6	95.7	95.6	96.1	95.9	96.1
92	94.8	94.9	94.7	95.4	95.2	95.4
91	94	94	93.9	94.6	94.4	94.7
90	93.1	93.2	93.1	94	93.7	94
89	92.3	92.4	92.3	93.3	93	93.4
88	91.5	91.6	91.5	92.6	92.3	92.7
87	90.7	90.8	90.7	92	91.6	92.1
86	90	90	90	91.4	90.9	91.6
85	89.2	89.2	89.2	90.8	90.3	91
84	88.5	88.4	88.5	90.3	89.7	90.5
83	87.7	87.7	87.8	89.8	89.1	90
82	87	86.9	87.1	89.3	88.5	89.6
81	86.4	86.2	86.5	88.8	88	89.2
80	85.7	85.5	85.8	88.4	87.4	88.8
79	85	84.9	85.2	88	86.9	88.4
78	84.4	84.2	84.6	87.5	86.4	88.1
77	83.8	83.6	84	87.1	85.8	87.8
76	83.2	82.9	83.5	86.8	85.3	87.5
75	82.7	82.3	82.9	86.4	84.8	87.2
74	82.1	81.8	82.4	86	84.3	86.9
73	81.6	81.2	81.9	85.6	83.8	86.6
72	81.1	80.6	81.4	85.3	83.3	86.4
71	80.6	80.1	81	84.9	82.9	86.1
70	80.1	79.6	80.6	84.6	82.4	85.9
69	79.7	79.2	80.2	84.2	81.9	85.7
68	79.3	78.7	79.8	83.9	81.5	85.5
67	78.9	78.3	79.5	83.6	81	85.3
66	78.5	77.8	79.1	83.3	80.6	85.1
65	78.2	77.4	78.8	82.9	80.2	84.9
64	77.8	77.1	78.5	82.6	79.8	84.7
63	77.5	76.7	78.2	82.3	79.4	84.5
62	77.2	76.3	77.9	82.1	79	84.3
61	76.8	76	77.6	81.8	78.7	84.2
60	76.5	75.6	77.4	81.5	78.3	84
59	76.3	75.3	77.1	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	75.5	74.4	76.5	80.7	77.2	83.5
55	75.2	74.1	76.3	80.4	76.9	83.4
54	75	73.8	76.1	80.2	76.6	83.3
53	74.7	73.6	75.9	80.1	76.4	83.2
52	74.5	73.3	75.7	79.9	76.2	83.1
51	74.3	73.1	75.5	79.7	75.9	82.9
50	74.1	72.8	75.3	79.5	75.7	82.9
49	73.9	72.6	75.1	79.4	75.5	82.8
48	73.7	72.4	75	79.2	75.3	82.7
47	73.5	72.1	74.8	79.1	75.1	82.6
46	73.3	71.9	74.7	78.9	74.9	82.5
45	73.1	71.7	74.5	78.8	74.8	82.4
44	73	71.5	74.4	78.7	74.6	82.3
43	72.8	71.3	74.2	78.5	74.4	82.3
42	72.6	71.2	74.1	78.4	74.3	82.2
41	72.5	71	73.9	78.3	74.1	82.2
40	72.3	70.8	73.8	78.2	74	82.1
39	72.2	70.6	73.7	78.1	73.9	82
38	72	70.5	73.5	78	73.7	82
37	71.9	70.3	73.4	77.9	73.6	81.9
36	71.7	70.2	73.3	77.8	73.5	81.9
35	71.6	70	73.2	77.7	73.4	81.9
34	71.5	69.8	73.1	77.6	73.3	81.8
33	71.3	69.7	73	77.6	73.2	81.8
32	71.2	69.6	72.9	77.5	73.1	81.7
31	71.1	69.4	72.8	77.4	73	81.7
30	71	69.3	72.7	77.4	72.9	81.7
29	70.9	69.2	72.6	77.3	72.8	81.7
28	70.7	69	72.5	77.3	72.7	81.6
27	70.6	68.9	72.4	77.2	72.7	81.6
26	70.5	68.8	72.3	77.2	72.6	81.6
25	70.4	68.6	72.2	77.1	72.6	81.6
24	70.3	68.5	72.1	77.1	72.5	81.6
23	70.2	68.4	72	77.1	72.5	81.5
22	70.1	68.2	71.9	77	72.4	81.5
21	70	68.1	71.9	77	72.4	81.5
20	69.9	68	71.8	77	72.3	81.5
19	69.8	67.9	71.7	76.9	72.3	81.5
18	69.7	67.8	71.6	76.9	72.2	81.4
17	69.6	67.7	71.6	76.9	72.2	81.4
16	69.5	67.6	71.5	76.9	72.2	81.4
15	69.5	67.5	71.4	76.8	72.2	81.4
14	69.4	67.5	71.4	76.8	72.2	81.4
13	69.3	67.4	71.3	76.8	72.1	81.4
12	69.3	67.4	71.3	76.8	72.1	81.4
11	69.2	67.3	71.2	76.8	72.1	81.4
10	69.2	67.2	71.2	76.8	72.1	81.4
9	69.1	67.2	71.1	76.8	72.1	81.4
8	69	67.1	71	76.8	72.1	81.3
7	69	67	70.9	76.8	72.1	81.3
6	68.9	66.9	70.9	76.8	72.1	81.3
5	68.7	66.8	70.7	76.8	72.1	81.3
4	68.6	66.6	70.6	76.7	72.1	81.3
3	68.3	66.4	70.4	76.7	72.1	81.3
2	68	66	70	76.7	72	81.3
1	67.4	65.4	69.5	76.7	72	81.3
0	64.5	62.3	66.8	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 Cameroon can expect to live to 71 years compared to 77.4 in Lithuania, rising to 78.2 and 82.9 at 65, and to 85.7 and 88.4 at 80 — higher than the 64.5 and 76.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Cameroon

Male

Female

Lithuania

Male

Female

1x

Age	Survival probability
	Cameroon			Lithuania
	Average	Male	Female	Average	Male	Female
100	0.1%	0.09%	0.1%	0.83%	0.39%	1.21%
99	0.16%	0.14%	0.17%	1.32%	0.62%	1.92%
98	0.25%	0.22%	0.28%	2.01%	0.95%	2.92%
97	0.39%	0.33%	0.44%	2.95%	1.42%	4.28%
96	0.58%	0.49%	0.68%	4.19%	2.04%	6.06%
95	0.86%	0.7%	1.02%	5.75%	2.85%	8.27%
94	1.23%	1%	1.47%	7.68%	3.93%	11%
93	1.72%	1.38%	2.08%	10%	5.28%	14.2%
92	2.36%	1.87%	2.87%	12.6%	6.79%	17.7%
91	3.16%	2.49%	3.85%	15.4%	8.41%	21.6%
90	4.16%	3.27%	5.08%	18.6%	10.4%	25.8%
89	5.35%	4.2%	6.54%	21.9%	12.6%	30.1%
88	6.77%	5.32%	8.26%	25.3%	14.8%	34.6%
87	8.41%	6.62%	10.2%	28.8%	17.3%	39.2%
86	10.3%	8.14%	12.5%	32.4%	19.9%	43.6%
85	12.4%	9.85%	15%	35.8%	22.5%	47.9%
84	14.7%	11.8%	17.7%	39.2%	25.1%	51.9%
83	17.2%	13.9%	20.6%	42.4%	27.8%	55.7%
82	19.8%	16.2%	23.6%	45.4%	30.5%	59.1%
81	22.6%	18.6%	26.8%	48.3%	33.2%	62.3%
80	25.5%	21.2%	30.1%	51.1%	35.8%	65.3%
79	28.5%	23.8%	33.3%	53.6%	38.4%	67.9%
78	31.5%	26.6%	36.6%	56%	40.9%	70.3%
77	34.5%	29.4%	39.9%	58.3%	43.5%	72.5%
76	37.6%	32.2%	43.1%	60.6%	46.1%	74.5%
75	40.5%	35.1%	46.2%	62.7%	48.6%	76.3%
74	43.4%	37.9%	49.1%	64.7%	51.1%	78.1%
73	46.2%	40.7%	52%	66.7%	53.5%	79.6%
72	49%	43.4%	54.7%	68.6%	55.9%	81.1%
71	51.5%	46%	57.2%	70.4%	58.2%	82.4%
70	54%	48.5%	59.6%	72.1%	60.5%	83.6%
69	56.3%	50.9%	61.9%	73.7%	62.7%	84.8%
68	58.5%	53.2%	63.9%	75.3%	64.9%	85.9%
67	60.5%	55.3%	65.8%	76.8%	67%	86.9%
66	62.4%	57.4%	67.6%	78.3%	69.1%	87.9%
65	64.2%	59.3%	69.2%	79.8%	71.1%	88.8%
64	65.9%	61.1%	70.7%	81.1%	73%	89.6%
63	67.4%	62.9%	72.2%	82.3%	74.8%	90.3%
62	68.9%	64.5%	73.5%	83.5%	76.4%	91%
61	70.3%	66.1%	74.7%	84.6%	78%	91.7%
60	71.6%	67.5%	75.9%	85.7%	79.5%	92.3%
59	72.8%	68.9%	76.9%	86.6%	80.8%	92.8%
58	74%	70.2%	77.9%	87.5%	82.1%	93.3%
57	75.1%	71.4%	78.8%	88.3%	83.2%	93.7%
56	76.1%	72.6%	79.6%	89%	84.4%	94.1%
55	77%	73.7%	80.4%	89.8%	85.4%	94.5%
54	77.9%	74.7%	81.2%	90.5%	86.4%	94.9%
53	78.8%	75.7%	81.9%	91.1%	87.4%	95.3%
52	79.6%	76.7%	82.6%	91.7%	88.2%	95.6%
51	80.4%	77.6%	83.2%	92.3%	89%	95.9%
50	81.1%	78.4%	83.8%	92.8%	89.7%	96.2%
49	81.8%	79.2%	84.4%	93.3%	90.4%	96.5%
48	82.4%	80%	84.9%	93.7%	91.1%	96.7%
47	83%	80.7%	85.4%	94.2%	91.8%	97%
46	83.6%	81.3%	85.9%	94.6%	92.3%	97.2%
45	84.1%	82%	86.3%	95%	92.9%	97.4%
44	84.6%	82.6%	86.8%	95.4%	93.4%	97.6%
43	85.1%	83.1%	87.2%	95.7%	93.9%	97.8%
42	85.6%	83.7%	87.5%	96%	94.3%	97.9%
41	86%	84.2%	87.9%	96.3%	94.8%	98%
40	86.5%	84.7%	88.3%	96.6%	95.2%	98.2%
39	86.9%	85.1%	88.6%	96.9%	95.6%	98.3%
38	87.2%	85.6%	88.9%	97.1%	96%	98.4%
37	87.6%	86%	89.2%	97.4%	96.3%	98.5%
36	87.9%	86.4%	89.5%	97.6%	96.6%	98.6%
35	88.3%	86.8%	89.8%	97.8%	96.9%	98.7%
34	88.6%	87.2%	90%	97.9%	97.1%	98.8%
33	88.9%	87.5%	90.3%	98.1%	97.4%	98.9%
32	89.2%	87.8%	90.5%	98.3%	97.6%	99%
31	89.4%	88.2%	90.7%	98.4%	97.8%	99%
30	89.7%	88.5%	90.9%	98.5%	98%	99.1%
29	90%	88.8%	91.2%	98.6%	98.2%	99.1%
28	90.2%	89.1%	91.4%	98.7%	98.3%	99.2%
27	90.4%	89.3%	91.5%	98.8%	98.5%	99.2%
26	90.7%	89.6%	91.7%	98.9%	98.6%	99.2%
25	90.9%	89.9%	91.9%	99%	98.7%	99.3%
24	91.1%	90.2%	92.1%	99.1%	98.8%	99.3%
23	91.3%	90.4%	92.3%	99.1%	98.9%	99.3%
22	91.5%	90.7%	92.4%	99.2%	99%	99.4%
21	91.7%	90.9%	92.6%	99.2%	99.1%	99.4%
20	91.9%	91.1%	92.7%	99.3%	99.2%	99.4%
19	92.1%	91.3%	92.8%	99.4%	99.3%	99.5%
18	92.2%	91.5%	93%	99.4%	99.4%	99.5%
17	92.4%	91.7%	93.1%	99.5%	99.4%	99.5%
16	92.5%	91.8%	93.2%	99.5%	99.4%	99.5%
15	92.6%	92%	93.3%	99.5%	99.5%	99.5%
14	92.7%	92.1%	93.4%	99.5%	99.5%	99.6%
13	92.8%	92.2%	93.5%	99.6%	99.5%	99.6%
12	92.9%	92.3%	93.6%	99.6%	99.6%	99.6%
11	93%	92.4%	93.7%	99.6%	99.6%	99.6%
10	93.1%	92.5%	93.7%	99.6%	99.6%	99.6%
9	93.2%	92.6%	93.8%	99.6%	99.6%	99.6%
8	93.3%	92.7%	93.9%	99.6%	99.6%	99.6%
7	93.4%	92.9%	94%	99.6%	99.6%	99.6%
6	93.6%	93%	94.2%	99.6%	99.6%	99.7%
5	93.8%	93.2%	94.3%	99.6%	99.6%	99.7%
4	94%	93.5%	94.6%	99.7%	99.6%	99.7%
3	94.3%	93.8%	94.9%	99.7%	99.7%	99.7%
2	94.8%	94.3%	95.3%	99.7%	99.7%	99.7%
1	95.6%	95.2%	96.1%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 71.6% of newborns in Cameroon and 85.7% in Lithuania are expected to live past 60, 54% and 72.1% past 70, 25.5% and 51.1% past 80, and only 4.16% 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

Cameroon

Male

Female

Lithuania

Male

Female

1x

Age	Probability of dying
	Cameroon			Lithuania
	Average	Male	Female	Average	Male	Female
100	40.3%	37.9%	42.2%	39.3%	39.3%	39.3%
99	38.8%	36.7%	40.4%	36.9%	37.2%	36.8%
98	36.9%	34.9%	38.4%	34.4%	35%	34.3%
97	35.4%	33.7%	36.7%	32%	32.8%	31.8%
96	33.8%	32.3%	34.8%	29.6%	30.6%	29.3%
95	32.1%	30.9%	33%	27.1%	28.5%	26.8%
94	30.4%	29.3%	31.1%	25.2%	27.3%	24.6%
93	28.7%	27.8%	29.2%	23.2%	25.7%	22.5%
92	27%	26.4%	27.4%	20.7%	22.1%	20.2%
91	25.3%	24.8%	25.6%	18.3%	19.3%	18%
90	23.9%	23.7%	24.1%	16.8%	19.1%	16.1%
89	22.3%	22.2%	22.4%	15.2%	17.3%	14.5%
88	20.9%	21%	20.8%	13.5%	15.1%	13%
87	19.5%	19.7%	19.4%	12.3%	14.4%	11.6%
86	18.2%	18.6%	18%	11%	13.1%	10.2%
85	16.9%	17.4%	16.6%	9.6%	11.4%	8.93%
84	15.7%	16.3%	15.3%	8.47%	10.4%	7.75%
83	14.5%	15.2%	14.1%	7.54%	9.67%	6.7%
82	13.4%	14.1%	12.9%	6.69%	8.81%	5.82%
81	12.3%	13%	11.8%	6.01%	8.11%	5.12%
80	11.5%	12.2%	10.9%	5.41%	7.44%	4.51%
79	10.4%	11.2%	9.85%	4.77%	6.65%	3.91%
78	9.59%	10.4%	8.98%	4.3%	6.23%	3.39%
77	8.73%	9.53%	8.12%	3.98%	6%	2.98%
76	8.01%	8.8%	7.4%	3.69%	5.61%	2.7%
75	7.34%	8.12%	6.72%	3.4%	5.16%	2.45%
74	6.68%	7.44%	6.07%	3.14%	4.82%	2.19%
73	6.08%	6.82%	5.48%	2.93%	4.53%	1.99%
72	5.54%	6.25%	4.96%	2.74%	4.26%	1.82%
71	4.97%	5.64%	4.41%	2.54%	4.02%	1.6%
70	4.58%	5.21%	4.05%	2.35%	3.77%	1.44%
69	4.08%	4.69%	3.57%	2.23%	3.51%	1.37%
68	3.72%	4.28%	3.23%	2.11%	3.33%	1.26%
67	3.36%	3.89%	2.89%	2.01%	3.19%	1.16%
66	3.04%	3.54%	2.6%	1.92%	3.03%	1.11%
65	2.79%	3.25%	2.37%	1.79%	2.81%	1.01%
64	2.55%	3%	2.16%	1.64%	2.58%	0.9%
63	2.35%	2.77%	1.97%	1.52%	2.36%	0.83%
62	2.16%	2.56%	1.8%	1.41%	2.17%	0.78%
61	1.96%	2.33%	1.62%	1.31%	2.01%	0.71%
60	1.84%	2.19%	1.52%	1.2%	1.86%	0.63%
59	1.67%	1.99%	1.36%	1.09%	1.69%	0.58%
58	1.54%	1.85%	1.26%	0.98%	1.48%	0.54%
57	1.42%	1.71%	1.15%	0.91%	1.39%	0.47%
56	1.33%	1.6%	1.08%	0.86%	1.34%	0.42%
55	1.25%	1.5%	1%	0.83%	1.26%	0.42%
54	1.17%	1.41%	0.94%	0.78%	1.16%	0.42%
53	1.09%	1.32%	0.88%	0.7%	1.06%	0.36%
52	1.03%	1.24%	0.83%	0.65%	0.97%	0.34%
51	0.95%	1.15%	0.76%	0.61%	0.88%	0.34%
50	0.9%	1.09%	0.72%	0.56%	0.83%	0.29%
49	0.83%	1%	0.66%	0.53%	0.78%	0.27%
48	0.77%	0.94%	0.62%	0.51%	0.74%	0.27%
47	0.72%	0.87%	0.57%	0.48%	0.69%	0.25%
46	0.68%	0.82%	0.54%	0.44%	0.64%	0.23%
45	0.64%	0.77%	0.52%	0.41%	0.6%	0.2%
44	0.6%	0.72%	0.49%	0.38%	0.54%	0.2%
43	0.57%	0.68%	0.46%	0.35%	0.5%	0.19%
42	0.54%	0.65%	0.44%	0.33%	0.49%	0.16%
41	0.51%	0.6%	0.41%	0.31%	0.47%	0.13%
40	0.49%	0.58%	0.4%	0.28%	0.42%	0.13%
39	0.46%	0.54%	0.37%	0.28%	0.41%	0.13%
38	0.44%	0.52%	0.36%	0.27%	0.4%	0.12%
37	0.41%	0.49%	0.33%	0.23%	0.33%	0.11%
36	0.39%	0.46%	0.32%	0.21%	0.3%	0.1%
35	0.37%	0.44%	0.3%	0.2%	0.29%	0.09%
34	0.35%	0.42%	0.29%	0.19%	0.28%	0.09%
33	0.34%	0.4%	0.27%	0.18%	0.26%	0.09%
32	0.32%	0.38%	0.26%	0.15%	0.23%	0.06%
31	0.3%	0.36%	0.25%	0.13%	0.2%	0.06%
30	0.3%	0.35%	0.24%	0.13%	0.19%	0.06%
29	0.28%	0.34%	0.23%	0.13%	0.2%	0.05%
28	0.27%	0.33%	0.22%	0.11%	0.18%	0.04%
27	0.26%	0.32%	0.21%	0.09%	0.14%	0.04%
26	0.26%	0.31%	0.2%	0.08%	0.13%	0.04%
25	0.25%	0.3%	0.19%	0.08%	0.12%	0.03%
24	0.24%	0.29%	0.19%	0.07%	0.11%	0.03%
23	0.23%	0.29%	0.18%	0.07%	0.1%	0.03%
22	0.22%	0.28%	0.17%	0.06%	0.09%	0.03%
21	0.21%	0.26%	0.16%	0.06%	0.08%	0.03%
20	0.2%	0.25%	0.16%	0.06%	0.08%	0.03%
19	0.19%	0.23%	0.15%	0.06%	0.09%	0.03%
18	0.17%	0.21%	0.14%	0.05%	0.07%	0.03%
17	0.16%	0.18%	0.13%	0.03%	0.04%	0.02%
16	0.14%	0.16%	0.12%	0.03%	0.05%	0.02%
15	0.12%	0.14%	0.11%	0.03%	0.04%	0.02%
14	0.11%	0.13%	0.1%	0.03%	0.03%	0.02%
13	0.1%	0.11%	0.09%	0.02%	0.02%	0.02%
12	0.1%	0.11%	0.09%	0.01%	0.02%	0.01%
11	0.1%	0.11%	0.09%	0.01%	0.02%	0.008%
10	0.1%	0.11%	0.09%	0.01%	0.01%	0.01%
9	0.11%	0.12%	0.1%	0.01%	0.009%	0.01%
8	0.12%	0.13%	0.11%	0.01%	0.01%	0.01%
7	0.13%	0.15%	0.12%	0.01%	0.01%	0.01%
6	0.16%	0.17%	0.15%	0.01%	0.009%	0.01%
5	0.19%	0.2%	0.18%	0.009%	0.009%	0.01%
4	0.25%	0.27%	0.24%	0.01%	0.01%	0.01%
3	0.35%	0.38%	0.33%	0.01%	0.01%	0.01%
2	0.52%	0.55%	0.48%	0.01%	0.01%	0.01%
1	0.84%	0.89%	0.79%	0.03%	0.02%	0.03%
0	4.36%	4.83%	3.89%	0.29%	0.3%	0.28%

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

The annual chance of dying is 4.36% in the birth year in Cameroon and 0.29% in Lithuania, 0.3% vs 0.13% at age 30, 1.84% vs 1.2% at 60, and 11.5% vs 5.41% at 80.

Death rate by age in Cameroon vs Lithuania

Chart Table

Cameroon

Male

Female

Lithuania

Male

Female

1x

Age	Death rate
	Cameroon			Lithuania
	Total	Male	Female	Total	Male	Female
100	0	0	0	174.6	56.5	274.1
99	60.9	52.1	70	485	230.3	706
98	91.9	76.3	108	690	333	1,000
97	136.3	110.9	162.6	945	465	1,362
96	196.6	157.3	237	1,240	624	1,777
95	275.2	217.5	335	1,559	812	2,213
94	374	292.2	457	1,933	1,074	2,695
93	494	384	608	2,322	1,356	3,186
92	638	494	786	2,605	1,503	3,588
91	800	619	987	2,822	1,627	3,887
90	995	774	1,223	3,119	1,989	4,148
89	1,194	933	1,464	3,315	2,179	4,361
88	1,415	1,116	1,723	3,420	2,242	4,500
87	1,641	1,308	1,985	3,556	2,501	4,539
86	1,871	1,510	2,244	3,561	2,606	4,462
85	2,092	1,714	2,483	3,442	2,562	4,282
84	2,306	1,919	2,707	3,319	2,605	4,028
83	2,490	2,103	2,892	3,194	2,688	3,733
82	2,660	2,282	3,052	3,036	2,683	3,441
81	2,782	2,421	3,155	2,903	2,691	3,191
80	2,927	2,590	3,276	2,761	2,665	2,945
79	2,971	2,671	3,284	2,559	2,550	2,657
78	3,023	2,764	3,291	2,410	2,551	2,381
77	3,017	2,803	3,239	2,321	2,611	2,161
76	3,008	2,837	3,185	2,234	2,586	2,009
75	2,973	2,848	3,102	2,134	2,512	1,873
74	2,902	2,821	2,985	2,030	2,466	1,712
73	2,811	2,772	2,850	1,953	2,423	1,589
72	2,712	2,710	2,715	1,881	2,380	1,473
71	2,558	2,591	2,524	1,785	2,341	1,322
70	2,471	2,526	2,413	1,696	2,284	1,202
69	2,298	2,386	2,207	1,642	2,203	1,159
68	2,172	2,277	2,063	1,590	2,161	1,081
67	2,031	2,155	1,903	1,542	2,140	1,004
66	1,898	2,033	1,758	1,507	2,091	975
65	1,787	1,929	1,640	1,429	2,002	900
64	1,682	1,833	1,525	1,330	1,887	809
63	1,584	1,741	1,421	1,248	1,765	754
62	1,492	1,651	1,326	1,177	1,655	711
61	1,380	1,541	1,210	1,106	1,569	648
60	1,319	1,477	1,153	1,028	1,481	582
59	1,214	1,374	1,046	942	1,363	535
58	1,143	1,299	979	857	1,218	506
57	1,069	1,223	908	800	1,155	445
56	1,015	1,164	858	766	1,132	394
55	960	1,106	807	742	1,077	398
54	912	1,053	764	702	1,001	394
53	862	999	719	639	928	338
52	820	951	682	596	853	327
51	762	889	630	560	787	324
50	731	852	604	518	741	280.7
49	678	794	557	493	708	260
48	638	748	525	475	674	256.5
47	598	702	491	448	630	244.5
46	566	663	466	417	589	222.4
45	540	633	445	391	555	199.3
44	510	596	422	361	507	192
43	486	566	403	336	467	183.2
42	466	542	388	320	461	155.8
41	437	509	363	301	446	132.1
40	423	491	352	275.1	398	130.8
39	398	463	331	271.3	396	125
38	380	442	317	262.3	387	115.9
37	360	420	298.4	224.5	322	110.3
36	344	401	285.3	201.3	287.8	100.8
35	328	383	271.7	194	281.1	93.1
34	312	364	258.6	186.8	269.6	92.7
33	298.3	349	246.8	172.2	250.4	84.7
32	285.9	335	236.2	148.5	225.2	62.9
31	271.7	319	223.8	130.3	194.6	59.1
30	264.7	311	218	123.6	182.3	59.6
29	253.6	298.7	207.7	123.7	194.9	46.9
28	246.1	290.5	200.9	109.5	173.6	40.2
27	238.2	282.8	192.8	90.6	138.4	39.5
26	231.5	276.5	185.7	82.1	123.9	38.2
25	225.3	271.1	178.7	77	118.5	33.7
24	219.4	265.9	172	67.9	107	27.3
23	212.8	259.5	165.1	64.5	99.2	28.2
22	205.4	251.5	158.4	62.3	92.2	31.2
21	196.2	240	151.5	56.7	82.6	30
20	185.3	225.2	144.7	56.2	83.3	28.3
19	172.7	207.6	137.2	62.7	94.3	30
18	159.3	188.6	129.4	50.7	70.8	29.8
17	143.9	167.2	120.2	34.2	43.8	24.1
16	129.6	147.1	111.7	30.9	45.9	15.2
15	115.2	128.5	101.7	29.1	40.8	16.8
14	104.4	115.1	93.4	25	28.9	20.8
13	96.4	105.3	87.3	19.1	21.8	16.4
12	92	100	83.8	14.3	18.6	9.7
11	90.8	98.6	82.9	12.2	15.7	8.41
10	93.5	101.8	85	10.5	10.8	10.2
9	99.4	108.4	90.2	10.3	9.11	11.5
8	109.7	119.1	100	12	13.2	10.7
7	125.5	135.4	115.2	11.3	12	10.7
6	147.7	158.1	136.9	9.63	8.66	10.7
5	179.5	190.7	167.9	9.42	9.23	9.62
4	236.9	251	222.3	11.3	12.2	10.4
3	334	354	313	13.8	14.4	13.1
2	489	516	460	13.2	14.4	11.8
1	805	845	763	25.4	24.3	26.4
0	4,365	4,831	3,893	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 Cameroon, the most common age of death is 0, compared to 86 in Lithuania. The median age of death is 71.6 in Cameroon 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 Cameroon and Lithuania more than their death rates.

Life expectancy in other countries

+ -

1x