Life Expectancy in Ivory Coast vs Lithuania (1950-2026)

Life expectancy by current age

Chart Table

Ivory Coast

Male

Female

Lithuania

Male

Female

1x

Current age, years	Total life expectancy, years
	Ivory Coast			Lithuania
	Average	Male	Female	Average	Male	Female
100	102	101.9	102	102	101.8	102
99	101	101	101.1	101.1	100.9	101.1
98	100.1	100.1	100.2	100.2	100.1	100.2
97	99.3	99.2	99.3	99.3	99.2	99.3
96	98.4	98.4	98.4	98.5	98.4	98.5
95	97.5	97.5	97.5	97.7	97.6	97.7
94	96.7	96.6	96.7	96.9	96.7	96.9
93	95.8	95.8	95.9	96.1	95.9	96.1
92	95	94.9	95	95.4	95.2	95.4
91	94.2	94.1	94.2	94.6	94.4	94.7
90	93.4	93.3	93.5	94	93.7	94
89	92.6	92.5	92.7	93.3	93	93.4
88	91.8	91.7	91.9	92.6	92.3	92.7
87	91.1	90.9	91.2	92	91.6	92.1
86	90.3	90.1	90.5	91.4	90.9	91.6
85	89.6	89.4	89.8	90.8	90.3	91
84	88.9	88.6	89.1	90.3	89.7	90.5
83	88.2	87.9	88.5	89.8	89.1	90
82	87.6	87.2	87.9	89.3	88.5	89.6
81	86.9	86.5	87.3	88.8	88	89.2
80	86.3	85.8	86.7	88.4	87.4	88.8
79	85.7	85.2	86.1	88	86.9	88.4
78	85.1	84.5	85.6	87.5	86.4	88.1
77	84.5	83.9	85	87.1	85.8	87.8
76	83.9	83.3	84.5	86.8	85.3	87.5
75	83.3	82.7	83.9	86.4	84.8	87.2
74	82.7	82.1	83.4	86	84.3	86.9
73	82.2	81.5	82.9	85.6	83.8	86.6
72	81.6	80.9	82.4	85.3	83.3	86.4
71	81.1	80.4	81.9	84.9	82.9	86.1
70	80.6	79.8	81.4	84.6	82.4	85.9
69	80.1	79.3	80.9	84.2	81.9	85.7
68	79.6	78.8	80.5	83.9	81.5	85.5
67	79.1	78.3	80	83.6	81	85.3
66	78.7	77.8	79.6	83.3	80.6	85.1
65	78.2	77.4	79.2	82.9	80.2	84.9
64	77.8	76.9	78.7	82.6	79.8	84.7
63	77.4	76.5	78.4	82.3	79.4	84.5
62	77	76	78	82.1	79	84.3
61	76.6	75.6	77.6	81.8	78.7	84.2
60	76.2	75.2	77.3	81.5	78.3	84
59	75.8	74.8	76.9	81.3	78	83.9
58	75.5	74.5	76.6	81.1	77.7	83.7
57	75.1	74.1	76.3	80.9	77.4	83.6
56	74.8	73.8	76	80.7	77.2	83.5
55	74.5	73.4	75.7	80.4	76.9	83.4
54	74.2	73.1	75.4	80.2	76.6	83.3
53	73.9	72.8	75.1	80.1	76.4	83.2
52	73.6	72.5	74.9	79.9	76.2	83.1
51	73.3	72.2	74.6	79.7	75.9	82.9
50	73	71.9	74.4	79.5	75.7	82.9
49	72.8	71.6	74.1	79.4	75.5	82.8
48	72.5	71.3	73.9	79.2	75.3	82.7
47	72.3	71.1	73.6	79.1	75.1	82.6
46	72	70.8	73.4	78.9	74.9	82.5
45	71.8	70.6	73.2	78.8	74.8	82.4
44	71.6	70.4	73	78.7	74.6	82.3
43	71.4	70.1	72.8	78.5	74.4	82.3
42	71.1	69.9	72.6	78.4	74.3	82.2
41	70.9	69.7	72.4	78.3	74.1	82.2
40	70.7	69.5	72.2	78.2	74	82.1
39	70.5	69.3	72	78.1	73.9	82
38	70.4	69.1	71.8	78	73.7	82
37	70.2	68.9	71.7	77.9	73.6	81.9
36	70	68.7	71.5	77.8	73.5	81.9
35	69.8	68.5	71.3	77.7	73.4	81.9
34	69.7	68.4	71.2	77.6	73.3	81.8
33	69.5	68.2	71	77.6	73.2	81.8
32	69.4	68	70.9	77.5	73.1	81.7
31	69.2	67.9	70.7	77.4	73	81.7
30	69.1	67.7	70.6	77.4	72.9	81.7
29	68.9	67.6	70.5	77.3	72.8	81.7
28	68.8	67.4	70.3	77.3	72.7	81.6
27	68.6	67.3	70.2	77.2	72.7	81.6
26	68.5	67.1	70.1	77.2	72.6	81.6
25	68.4	67	70	77.1	72.6	81.6
24	68.2	66.8	69.9	77.1	72.5	81.6
23	68.1	66.7	69.8	77.1	72.5	81.5
22	68	66.6	69.7	77	72.4	81.5
21	67.9	66.4	69.6	77	72.4	81.5
20	67.8	66.3	69.5	77	72.3	81.5
19	67.7	66.2	69.4	76.9	72.3	81.5
18	67.6	66.1	69.3	76.9	72.2	81.4
17	67.5	66	69.2	76.9	72.2	81.4
16	67.4	65.9	69.1	76.9	72.2	81.4
15	67.3	65.8	69.1	76.8	72.2	81.4
14	67.3	65.8	69	76.8	72.2	81.4
13	67.2	65.7	69	76.8	72.1	81.4
12	67.2	65.7	68.9	76.8	72.1	81.4
11	67.1	65.6	68.9	76.8	72.1	81.4
10	67.1	65.5	68.8	76.8	72.1	81.4
9	67	65.5	68.8	76.8	72.1	81.4
8	66.9	65.4	68.7	76.8	72.1	81.3
7	66.9	65.3	68.7	76.8	72.1	81.3
6	66.8	65.2	68.6	76.8	72.1	81.3
5	66.7	65.1	68.5	76.8	72.1	81.3
4	66.6	65	68.4	76.7	72.1	81.3
3	66.4	64.8	68.2	76.7	72.1	81.3
2	66.1	64.5	67.9	76.7	72	81.3
1	65.7	64	67.5	76.7	72	81.3
0	62.4	60.5	64.7	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 Ivory Coast can expect to live to 69.1 years compared to 77.4 in Lithuania, rising to 78.2 and 82.9 at 65, and to 86.3 and 88.4 at 80 — higher than the 62.4 and 76.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Ivory Coast

Male

Female

Lithuania

Male

Female

1x

Age	Survival probability
	Ivory Coast			Lithuania
	Average	Male	Female	Average	Male	Female
100	0.15%	0.1%	0.21%	0.83%	0.39%	1.21%
99	0.23%	0.15%	0.33%	1.32%	0.62%	1.92%
98	0.36%	0.23%	0.51%	2.01%	0.95%	2.92%
97	0.54%	0.35%	0.77%	2.95%	1.42%	4.28%
96	0.79%	0.52%	1.13%	4.19%	2.04%	6.06%
95	1.13%	0.75%	1.61%	5.75%	2.85%	8.27%
94	1.58%	1.05%	2.23%	7.68%	3.93%	11%
93	2.15%	1.45%	3.02%	10%	5.28%	14.2%
92	2.86%	1.95%	3.98%	12.6%	6.79%	17.7%
91	3.72%	2.57%	5.14%	15.4%	8.41%	21.6%
90	4.76%	3.34%	6.51%	18.6%	10.4%	25.8%
89	5.96%	4.25%	8.06%	21.9%	12.6%	30.1%
88	7.34%	5.32%	9.82%	25.3%	14.8%	34.6%
87	8.89%	6.56%	11.8%	28.8%	17.3%	39.2%
86	10.6%	7.97%	13.8%	32.4%	19.9%	43.6%
85	12.5%	9.53%	16.1%	35.8%	22.5%	47.9%
84	14.5%	11.2%	18.4%	39.2%	25.1%	51.9%
83	16.6%	13.1%	20.8%	42.4%	27.8%	55.7%
82	18.7%	15.1%	23.2%	45.4%	30.5%	59.1%
81	20.9%	17.1%	25.6%	48.3%	33.2%	62.3%
80	23.2%	19.3%	28%	51.1%	35.8%	65.3%
79	25.5%	21.5%	30.4%	53.6%	38.4%	67.9%
78	27.9%	23.8%	32.8%	56%	40.9%	70.3%
77	30.3%	26.2%	35.3%	58.3%	43.5%	72.5%
76	32.7%	28.6%	37.7%	60.6%	46.1%	74.5%
75	35.1%	31%	40.1%	62.7%	48.6%	76.3%
74	37.5%	33.4%	42.5%	64.7%	51.1%	78.1%
73	39.9%	35.8%	44.8%	66.7%	53.5%	79.6%
72	42.3%	38.3%	47.1%	68.6%	55.9%	81.1%
71	44.6%	40.6%	49.3%	70.4%	58.2%	82.4%
70	46.9%	42.9%	51.5%	72.1%	60.5%	83.6%
69	49.1%	45.2%	53.6%	73.7%	62.7%	84.8%
68	51.2%	47.4%	55.6%	75.3%	64.9%	85.9%
67	53.3%	49.6%	57.6%	76.8%	67%	86.9%
66	55.4%	51.7%	59.6%	78.3%	69.1%	87.9%
65	57.3%	53.8%	61.4%	79.8%	71.1%	88.8%
64	59.2%	55.8%	63.2%	81.1%	73%	89.6%
63	61%	57.7%	64.9%	82.3%	74.8%	90.3%
62	62.8%	59.5%	66.5%	83.5%	76.4%	91%
61	64.4%	61.2%	68%	84.6%	78%	91.7%
60	65.9%	62.9%	69.4%	85.7%	79.5%	92.3%
59	67.4%	64.4%	70.7%	86.6%	80.8%	92.8%
58	68.8%	65.9%	72%	87.5%	82.1%	93.3%
57	70.1%	67.3%	73.2%	88.3%	83.2%	93.7%
56	71.3%	68.7%	74.3%	89%	84.4%	94.1%
55	72.5%	70%	75.4%	89.8%	85.4%	94.5%
54	73.7%	71.2%	76.4%	90.5%	86.4%	94.9%
53	74.8%	72.4%	77.4%	91.1%	87.4%	95.3%
52	75.8%	73.5%	78.3%	91.7%	88.2%	95.6%
51	76.8%	74.5%	79.2%	92.3%	89%	95.9%
50	77.7%	75.6%	80%	92.8%	89.7%	96.2%
49	78.6%	76.5%	80.8%	93.3%	90.4%	96.5%
48	79.5%	77.4%	81.6%	93.7%	91.1%	96.7%
47	80.2%	78.3%	82.3%	94.2%	91.8%	97%
46	81%	79.1%	83%	94.6%	92.3%	97.2%
45	81.7%	79.9%	83.6%	95%	92.9%	97.4%
44	82.4%	80.6%	84.2%	95.4%	93.4%	97.6%
43	83%	81.3%	84.8%	95.7%	93.9%	97.8%
42	83.6%	81.9%	85.4%	96%	94.3%	97.9%
41	84.2%	82.6%	85.9%	96.3%	94.8%	98%
40	84.8%	83.2%	86.4%	96.6%	95.2%	98.2%
39	85.3%	83.7%	86.9%	96.9%	95.6%	98.3%
38	85.8%	84.3%	87.4%	97.1%	96%	98.4%
37	86.3%	84.8%	87.8%	97.4%	96.3%	98.5%
36	86.7%	85.3%	88.3%	97.6%	96.6%	98.6%
35	87.2%	85.7%	88.7%	97.8%	96.9%	98.7%
34	87.6%	86.2%	89%	97.9%	97.1%	98.8%
33	88%	86.6%	89.4%	98.1%	97.4%	98.9%
32	88.3%	87%	89.7%	98.3%	97.6%	99%
31	88.7%	87.3%	90.1%	98.4%	97.8%	99%
30	89%	87.7%	90.4%	98.5%	98%	99.1%
29	89.3%	88.1%	90.7%	98.6%	98.2%	99.1%
28	89.6%	88.4%	90.9%	98.7%	98.3%	99.2%
27	89.9%	88.7%	91.2%	98.8%	98.5%	99.2%
26	90.2%	89%	91.5%	98.9%	98.6%	99.2%
25	90.5%	89.3%	91.7%	99%	98.7%	99.3%
24	90.8%	89.6%	91.9%	99.1%	98.8%	99.3%
23	91%	89.9%	92.1%	99.1%	98.9%	99.3%
22	91.3%	90.2%	92.3%	99.2%	99%	99.4%
21	91.5%	90.5%	92.5%	99.2%	99.1%	99.4%
20	91.7%	90.7%	92.7%	99.3%	99.2%	99.4%
19	91.9%	90.9%	92.9%	99.4%	99.3%	99.5%
18	92.1%	91.1%	93%	99.4%	99.4%	99.5%
17	92.2%	91.3%	93.2%	99.5%	99.4%	99.5%
16	92.4%	91.5%	93.3%	99.5%	99.4%	99.5%
15	92.5%	91.6%	93.4%	99.5%	99.5%	99.5%
14	92.6%	91.7%	93.5%	99.5%	99.5%	99.6%
13	92.7%	91.8%	93.6%	99.6%	99.5%	99.6%
12	92.8%	91.9%	93.7%	99.6%	99.6%	99.6%
11	92.9%	92%	93.8%	99.6%	99.6%	99.6%
10	93%	92.1%	93.8%	99.6%	99.6%	99.6%
9	93.1%	92.2%	93.9%	99.6%	99.6%	99.6%
8	93.2%	92.3%	94%	99.6%	99.6%	99.6%
7	93.3%	92.5%	94.1%	99.6%	99.6%	99.6%
6	93.4%	92.6%	94.2%	99.6%	99.6%	99.7%
5	93.6%	92.8%	94.4%	99.6%	99.6%	99.7%
4	93.8%	93%	94.5%	99.7%	99.6%	99.7%
3	94%	93.3%	94.8%	99.7%	99.7%	99.7%
2	94.4%	93.7%	95.1%	99.7%	99.7%	99.7%
1	95.1%	94.4%	95.7%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 65.9% of newborns in Ivory Coast and 85.7% in Lithuania are expected to live past 60, 46.9% and 72.1% past 70, 23.2% and 51.1% past 80, and only 4.76% 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

Ivory Coast

Male

Female

Lithuania

Male

Female

1x

Age	Probability of dying
	Ivory Coast			Lithuania
	Average	Male	Female	Average	Male	Female
100	38.7%	38.1%	39.1%	39.3%	39.3%	39.3%
99	37.1%	36.7%	37.4%	36.9%	37.2%	36.8%
98	35.1%	34.9%	35.3%	34.4%	35%	34.3%
97	33.5%	33.6%	33.5%	32%	32.8%	31.8%
96	31.9%	32.1%	31.7%	29.6%	30.6%	29.3%
95	30.1%	30.6%	29.9%	27.1%	28.5%	26.8%
94	28.3%	29%	27.9%	25.2%	27.3%	24.6%
93	26.6%	27.4%	26%	23.2%	25.7%	22.5%
92	24.9%	25.8%	24.3%	20.7%	22.1%	20.2%
91	23.1%	24.2%	22.5%	18.3%	19.3%	18%
90	21.8%	23%	21%	16.8%	19.1%	16.1%
89	20.2%	21.4%	19.3%	15.2%	17.3%	14.5%
88	18.8%	20.1%	17.9%	13.5%	15.1%	13%
87	17.4%	18.8%	16.5%	12.3%	14.4%	11.6%
86	16.2%	17.6%	15.1%	11%	13.1%	10.2%
85	14.9%	16.4%	13.8%	9.6%	11.4%	8.93%
84	13.8%	15.3%	12.6%	8.47%	10.4%	7.75%
83	12.6%	14.1%	11.5%	7.54%	9.67%	6.7%
82	11.6%	13.1%	10.4%	6.69%	8.81%	5.82%
81	10.5%	12%	9.35%	6.01%	8.11%	5.12%
80	9.79%	11.2%	8.59%	5.41%	7.44%	4.51%
79	9.07%	10.4%	7.93%	4.77%	6.65%	3.91%
78	8.5%	9.69%	7.41%	4.3%	6.23%	3.39%
77	7.89%	8.97%	6.87%	3.98%	6%	2.98%
76	7.39%	8.38%	6.43%	3.69%	5.61%	2.7%
75	6.91%	7.82%	6.01%	3.4%	5.16%	2.45%
74	6.44%	7.28%	5.59%	3.14%	4.82%	2.19%
73	5.99%	6.77%	5.21%	2.93%	4.53%	1.99%
72	5.6%	6.3%	4.87%	2.74%	4.26%	1.82%
71	5.16%	5.8%	4.49%	2.54%	4.02%	1.6%
70	4.86%	5.46%	4.25%	2.35%	3.77%	1.44%
69	4.48%	5.02%	3.92%	2.23%	3.51%	1.37%
68	4.2%	4.69%	3.68%	2.11%	3.33%	1.26%
67	3.91%	4.37%	3.44%	2.01%	3.19%	1.16%
66	3.66%	4.08%	3.23%	1.92%	3.03%	1.11%
65	3.46%	3.84%	3.06%	1.79%	2.81%	1.01%
64	3.19%	3.56%	2.81%	1.64%	2.58%	0.9%
63	2.95%	3.3%	2.59%	1.52%	2.36%	0.83%
62	2.74%	3.06%	2.39%	1.41%	2.17%	0.78%
61	2.51%	2.81%	2.19%	1.31%	2.01%	0.71%
60	2.35%	2.64%	2.04%	1.2%	1.86%	0.63%
59	2.16%	2.42%	1.87%	1.09%	1.69%	0.58%
58	2.01%	2.25%	1.75%	0.98%	1.48%	0.54%
57	1.87%	2.09%	1.62%	0.91%	1.39%	0.47%
56	1.76%	1.96%	1.52%	0.86%	1.34%	0.42%
55	1.65%	1.84%	1.43%	0.83%	1.26%	0.42%
54	1.55%	1.73%	1.35%	0.78%	1.16%	0.42%
53	1.46%	1.62%	1.27%	0.7%	1.06%	0.36%
52	1.38%	1.53%	1.2%	0.65%	0.97%	0.34%
51	1.28%	1.42%	1.12%	0.61%	0.88%	0.34%
50	1.21%	1.35%	1.06%	0.56%	0.83%	0.29%
49	1.13%	1.25%	0.99%	0.53%	0.78%	0.27%
48	1.05%	1.17%	0.93%	0.51%	0.74%	0.27%
47	0.98%	1.09%	0.87%	0.48%	0.69%	0.25%
46	0.92%	1.02%	0.82%	0.44%	0.64%	0.23%
45	0.87%	0.96%	0.77%	0.41%	0.6%	0.2%
44	0.82%	0.9%	0.73%	0.38%	0.54%	0.2%
43	0.77%	0.85%	0.69%	0.35%	0.5%	0.19%
42	0.73%	0.81%	0.66%	0.33%	0.49%	0.16%
41	0.69%	0.75%	0.62%	0.31%	0.47%	0.13%
40	0.66%	0.72%	0.6%	0.28%	0.42%	0.13%
39	0.62%	0.68%	0.56%	0.28%	0.41%	0.13%
38	0.59%	0.64%	0.53%	0.27%	0.4%	0.12%
37	0.55%	0.6%	0.5%	0.23%	0.33%	0.11%
36	0.52%	0.57%	0.48%	0.21%	0.3%	0.1%
35	0.49%	0.54%	0.45%	0.2%	0.29%	0.09%
34	0.47%	0.51%	0.42%	0.19%	0.28%	0.09%
33	0.44%	0.48%	0.4%	0.18%	0.26%	0.09%
32	0.42%	0.46%	0.38%	0.15%	0.23%	0.06%
31	0.39%	0.43%	0.36%	0.13%	0.2%	0.06%
30	0.38%	0.42%	0.34%	0.13%	0.19%	0.06%
29	0.36%	0.4%	0.32%	0.13%	0.2%	0.05%
28	0.34%	0.38%	0.31%	0.11%	0.18%	0.04%
27	0.33%	0.37%	0.29%	0.09%	0.14%	0.04%
26	0.32%	0.35%	0.28%	0.08%	0.13%	0.04%
25	0.3%	0.34%	0.26%	0.08%	0.12%	0.03%
24	0.29%	0.33%	0.25%	0.07%	0.11%	0.03%
23	0.28%	0.32%	0.23%	0.07%	0.1%	0.03%
22	0.26%	0.3%	0.22%	0.06%	0.09%	0.03%
21	0.25%	0.29%	0.2%	0.06%	0.08%	0.03%
20	0.23%	0.27%	0.19%	0.06%	0.08%	0.03%
19	0.21%	0.25%	0.18%	0.06%	0.09%	0.03%
18	0.2%	0.23%	0.17%	0.05%	0.07%	0.03%
17	0.17%	0.2%	0.15%	0.03%	0.04%	0.02%
16	0.15%	0.17%	0.13%	0.03%	0.05%	0.02%
15	0.13%	0.15%	0.12%	0.03%	0.04%	0.02%
14	0.12%	0.13%	0.1%	0.03%	0.03%	0.02%
13	0.1%	0.12%	0.09%	0.02%	0.02%	0.02%
12	0.1%	0.11%	0.09%	0.01%	0.02%	0.01%
11	0.09%	0.11%	0.08%	0.01%	0.02%	0.008%
10	0.1%	0.11%	0.08%	0.01%	0.01%	0.01%
9	0.1%	0.11%	0.09%	0.01%	0.009%	0.01%
8	0.11%	0.12%	0.1%	0.01%	0.01%	0.01%
7	0.12%	0.14%	0.11%	0.01%	0.01%	0.01%
6	0.14%	0.15%	0.12%	0.01%	0.009%	0.01%
5	0.16%	0.18%	0.15%	0.009%	0.009%	0.01%
4	0.21%	0.24%	0.19%	0.01%	0.01%	0.01%
3	0.29%	0.33%	0.26%	0.01%	0.01%	0.01%
2	0.42%	0.47%	0.38%	0.01%	0.01%	0.01%
1	0.67%	0.73%	0.61%	0.03%	0.02%	0.03%
0	4.93%	5.58%	4.27%	0.29%	0.3%	0.28%

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

The annual chance of dying is 4.93% in the birth year in Ivory Coast and 0.29% in Lithuania, 0.38% vs 0.13% at age 30, 2.35% vs 1.2% at 60, and 9.79% vs 5.41% at 80.

Death rate by age in Ivory Coast vs Lithuania

Chart Table

Ivory Coast

Male

Female

Lithuania

Male

Female

1x

Age	Death rate
	Ivory Coast			Lithuania
	Total	Male	Female	Total	Male	Female
100	6.29	1.2	13.3	174.6	56.5	274.1
99	86.1	55.8	123.9	485	230.3	706
98	125.7	81.6	180.8	690	333	1,000
97	180.5	118	258.5	945	465	1,362
96	251.8	166.3	358	1,240	624	1,777
95	341	228.1	480	1,559	812	2,213
94	447	304	622	1,933	1,074	2,695
93	571	396	785	2,322	1,356	3,186
92	712	504	967	2,605	1,503	3,588
91	862	623	1,154	2,822	1,627	3,887
90	1,037	767	1,367	3,119	1,989	4,148
89	1,204	912	1,560	3,315	2,179	4,361
88	1,381	1,073	1,755	3,420	2,242	4,500
87	1,552	1,237	1,934	3,556	2,501	4,539
86	1,717	1,404	2,096	3,561	2,606	4,462
85	1,860	1,562	2,221	3,442	2,562	4,282
84	1,993	1,720	2,324	3,319	2,605	4,028
83	2,092	1,850	2,383	3,194	2,688	3,733
82	2,173	1,973	2,414	3,036	2,683	3,441
81	2,208	2,054	2,392	2,903	2,691	3,191
80	2,273	2,160	2,403	2,761	2,665	2,945
79	2,315	2,227	2,412	2,559	2,550	2,657
78	2,372	2,307	2,434	2,410	2,551	2,381
77	2,391	2,348	2,423	2,321	2,611	2,161
76	2,417	2,394	2,422	2,234	2,586	2,009
75	2,427	2,424	2,408	2,134	2,512	1,873
74	2,417	2,431	2,375	2,030	2,466	1,712
73	2,395	2,425	2,334	1,953	2,423	1,589
72	2,368	2,411	2,293	1,881	2,380	1,473
71	2,301	2,353	2,216	1,785	2,341	1,322
70	2,281	2,343	2,188	1,696	2,284	1,202
69	2,202	2,271	2,103	1,642	2,203	1,159
68	2,150	2,226	2,049	1,590	2,161	1,081
67	2,088	2,168	1,985	1,542	2,140	1,004
66	2,028	2,110	1,926	1,507	2,091	975
65	1,984	2,067	1,882	1,429	2,002	900
64	1,891	1,985	1,776	1,330	1,887	809
63	1,802	1,903	1,679	1,248	1,765	754
62	1,717	1,823	1,588	1,177	1,655	711
61	1,615	1,720	1,485	1,106	1,569	648
60	1,552	1,659	1,418	1,028	1,481	582
59	1,455	1,557	1,325	942	1,363	535
58	1,384	1,482	1,257	857	1,218	506
57	1,312	1,406	1,187	800	1,155	445
56	1,254	1,346	1,132	766	1,132	394
55	1,198	1,287	1,077	742	1,077	398
54	1,145	1,231	1,028	702	1,001	394
53	1,092	1,175	979	639	928	338
52	1,045	1,124	938	596	853	327
51	984	1,059	883	560	787	324
50	944	1,018	849	518	741	280.7
49	885	954	798	493	708	260
48	837	903	756	475	674	256.5
47	789	852	714	448	630	244.5
46	747	807	678	417	589	222.4
45	713	770	648	391	555	199.3
44	674	727	615	361	507	192
43	641	691	588	336	467	183.2
42	613	661	564	320	461	155.8
41	579	623	535	301	446	132.1
40	557	600	515	275.1	398	130.8
39	527	566	488	271.3	396	125
38	502	539	466	262.3	387	115.9
37	476	511	441	224.5	322	110.3
36	453	486	420	201.3	287.8	100.8
35	431	463	400	194	281.1	93.1
34	407	439	377	186.8	269.6	92.7
33	387	417	358	172.2	250.4	84.7
32	369	398	341	148.5	225.2	62.9
31	350	378	321	130.3	194.6	59.1
30	338	365	310	123.6	182.3	59.6
29	322	349	294.3	123.7	194.9	46.9
28	309	336	279.3	109.5	173.6	40.2
27	296.9	324	266	90.6	138.4	39.5
26	284.8	313	252.1	82.1	123.9	38.2
25	273.5	304	238.2	77	118.5	33.7
24	262.5	295	225.6	67.9	107	27.3
23	251.3	285.2	213.2	64.5	99.2	28.2
22	239.2	273.7	201.1	62.3	92.2	31.2
21	225.6	259.5	188.8	56.7	82.6	30
20	212.6	243.3	179.5	56.2	83.3	28.3
19	197	224.9	166.9	62.7	94.3	30
18	180.6	205.1	154.1	50.7	70.8	29.8
17	160.1	179.5	139.2	34.2	43.8	24.1
16	140.8	155.3	125.2	30.9	45.9	15.2
15	123	133.8	111.4	29.1	40.8	16.8
14	108	117.5	97.8	25	28.9	20.8
13	97.2	105.8	88	19.1	21.8	16.4
12	90.5	99.3	81.4	14.3	18.6	9.7
11	87.8	96.7	78.6	12.2	15.7	8.41
10	88.7	97.6	79.6	10.5	10.8	10.2
9	92.8	102.4	82.9	10.3	9.11	11.5
8	100.6	111.5	89.4	12	13.2	10.7
7	112.8	125.1	100.2	11.3	12	10.7
6	129.1	142.8	114.9	9.63	8.66	10.7
5	153.7	169.1	137.7	9.42	9.23	9.62
4	200.3	220.7	179.3	11.3	12.2	10.4
3	275.7	304	246.4	13.8	14.4	13.1
2	398	437	359	13.2	14.4	11.8
1	640	693	585	25.4	24.3	26.4
0	4,932	5,583	4,273	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 Ivory Coast, the most common age of death is 0, compared to 86 in Lithuania. The median age of death is 68.6 in Ivory Coast 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 Ivory Coast and Lithuania more than their death rates.

Life expectancy in other countries

+ -

1x