Life Expectancy in Guyana vs Lithuania (1950-2026)

Life expectancy by current age

Chart Table

Guyana

Male

Female

Lithuania

Male

Female

1x

Current age, years	Total life expectancy, years
	Guyana			Lithuania
	Average	Male	Female	Average	Male	Female
100	102.9	102.4	103	102	101.8	102
99	102.1	101.6	102.2	101.1	100.9	101.1
98	101.2	100.7	101.4	100.2	100.1	100.2
97	100.4	99.8	100.5	99.3	99.2	99.3
96	99.5	98.9	99.7	98.5	98.4	98.5
95	98.7	98.1	98.9	97.7	97.6	97.7
94	97.9	97.2	98.1	96.9	96.7	96.9
93	97.1	96.4	97.3	96.1	95.9	96.1
92	96.3	95.6	96.6	95.4	95.2	95.4
91	95.5	94.8	95.8	94.6	94.4	94.7
90	94.7	94	95.1	94	93.7	94
89	94	93.2	94.3	93.3	93	93.4
88	93.2	92.4	93.6	92.6	92.3	92.7
87	92.4	91.6	92.9	92	91.6	92.1
86	91.7	90.9	92.2	91.4	90.9	91.6
85	91	90.1	91.5	90.8	90.3	91
84	90.3	89.4	90.9	90.3	89.7	90.5
83	89.6	88.6	90.2	89.8	89.1	90
82	89	87.9	89.6	89.3	88.5	89.6
81	88.3	87.3	89	88.8	88	89.2
80	87.7	86.6	88.5	88.4	87.4	88.8
79	87.1	86	87.9	88	86.9	88.4
78	86.5	85.4	87.4	87.5	86.4	88.1
77	86	84.8	86.8	87.1	85.8	87.8
76	85.4	84.2	86.3	86.8	85.3	87.5
75	84.9	83.7	85.9	86.4	84.8	87.2
74	84.4	83.1	85.4	86	84.3	86.9
73	83.9	82.6	85	85.6	83.8	86.6
72	83.5	82.1	84.6	85.3	83.3	86.4
71	83	81.5	84.2	84.9	82.9	86.1
70	82.5	81	83.8	84.6	82.4	85.9
69	82.1	80.5	83.4	84.2	81.9	85.7
68	81.6	80	83	83.9	81.5	85.5
67	81.2	79.5	82.6	83.6	81	85.3
66	80.7	79	82.2	83.3	80.6	85.1
65	80.3	78.5	81.9	82.9	80.2	84.9
64	79.9	78	81.5	82.6	79.8	84.7
63	79.5	77.6	81.2	82.3	79.4	84.5
62	79.1	77.1	80.9	82.1	79	84.3
61	78.8	76.7	80.6	81.8	78.7	84.2
60	78.4	76.3	80.4	81.5	78.3	84
59	78.1	75.9	80.1	81.3	78	83.9
58	77.8	75.5	79.9	81.1	77.7	83.7
57	77.5	75.2	79.6	80.9	77.4	83.6
56	77.2	74.8	79.4	80.7	77.2	83.5
55	76.9	74.5	79.2	80.4	76.9	83.4
54	76.7	74.2	79	80.2	76.6	83.3
53	76.4	73.9	78.8	80.1	76.4	83.2
52	76.2	73.6	78.6	79.9	76.2	83.1
51	76	73.4	78.5	79.7	75.9	82.9
50	75.8	73.1	78.3	79.5	75.7	82.9
49	75.6	72.9	78.2	79.4	75.5	82.8
48	75.4	72.6	78	79.2	75.3	82.7
47	75.2	72.4	77.9	79.1	75.1	82.6
46	75	72.2	77.8	78.9	74.9	82.5
45	74.9	72	77.7	78.8	74.8	82.4
44	74.7	71.8	77.6	78.7	74.6	82.3
43	74.6	71.6	77.5	78.5	74.4	82.3
42	74.4	71.4	77.4	78.4	74.3	82.2
41	74.3	71.3	77.3	78.3	74.1	82.2
40	74.2	71.1	77.2	78.2	74	82.1
39	74	70.9	77.1	78.1	73.9	82
38	73.9	70.8	77	78	73.7	82
37	73.8	70.7	76.9	77.9	73.6	81.9
36	73.7	70.5	76.9	77.8	73.5	81.9
35	73.6	70.4	76.8	77.7	73.4	81.9
34	73.5	70.3	76.7	77.6	73.3	81.8
33	73.4	70.2	76.6	77.6	73.2	81.8
32	73.3	70	76.6	77.5	73.1	81.7
31	73.2	69.9	76.5	77.4	73	81.7
30	73.2	69.8	76.4	77.4	72.9	81.7
29	73.1	69.7	76.4	77.3	72.8	81.7
28	73	69.6	76.3	77.3	72.7	81.6
27	72.9	69.5	76.3	77.2	72.7	81.6
26	72.8	69.4	76.2	77.2	72.6	81.6
25	72.7	69.3	76.2	77.1	72.6	81.6
24	72.7	69.2	76.1	77.1	72.5	81.6
23	72.6	69.1	76.1	77.1	72.5	81.5
22	72.5	69.1	76	77	72.4	81.5
21	72.5	69	76	77	72.4	81.5
20	72.4	68.9	75.9	77	72.3	81.5
19	72.4	68.9	75.9	76.9	72.3	81.5
18	72.3	68.8	75.9	76.9	72.2	81.4
17	72.3	68.8	75.8	76.9	72.2	81.4
16	72.3	68.8	75.8	76.9	72.2	81.4
15	72.3	68.7	75.8	76.8	72.2	81.4
14	72.2	68.7	75.8	76.8	72.2	81.4
13	72.2	68.7	75.7	76.8	72.1	81.4
12	72.2	68.7	75.7	76.8	72.1	81.4
11	72.2	68.7	75.7	76.8	72.1	81.4
10	72.2	68.6	75.7	76.8	72.1	81.4
9	72.2	68.6	75.7	76.8	72.1	81.4
8	72.2	68.6	75.7	76.8	72.1	81.3
7	72.1	68.6	75.7	76.8	72.1	81.3
6	72.1	68.6	75.7	76.8	72.1	81.3
5	72.1	68.6	75.7	76.8	72.1	81.3
4	72.1	68.5	75.6	76.7	72.1	81.3
3	72	68.5	75.6	76.7	72.1	81.3
2	72	68.4	75.5	76.7	72	81.3
1	71.8	68.3	75.4	76.7	72	81.3
0	70.6	66.8	74.4	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 Guyana can expect to live to 73.2 years compared to 77.4 in Lithuania, rising to 80.3 and 82.9 at 65, and to 87.7 and 88.4 at 80 — higher than the 70.6 and 76.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Guyana

Male

Female

Lithuania

Male

Female

1x

Age	Survival probability
	Guyana			Lithuania
	Average	Male	Female	Average	Male	Female
100	1.11%	0.37%	1.95%	0.83%	0.39%	1.21%
99	1.48%	0.53%	2.56%	1.32%	0.62%	1.92%
98	1.95%	0.74%	3.31%	2.01%	0.95%	2.92%
97	2.52%	1.02%	4.21%	2.95%	1.42%	4.28%
96	3.22%	1.38%	5.28%	4.19%	2.04%	6.06%
95	4.06%	1.83%	6.53%	5.75%	2.85%	8.27%
94	5.04%	2.39%	7.96%	7.68%	3.93%	11%
93	6.17%	3.08%	9.57%	10%	5.28%	14.2%
92	7.46%	3.91%	11.4%	12.6%	6.79%	17.7%
91	8.92%	4.87%	13.4%	15.4%	8.41%	21.6%
90	10.6%	5.99%	15.6%	18.6%	10.4%	25.8%
89	12.4%	7.27%	18%	21.9%	12.6%	30.1%
88	14.4%	8.72%	20.5%	25.3%	14.8%	34.6%
87	16.6%	10.4%	23.3%	28.8%	17.3%	39.2%
86	18.9%	12.2%	26.1%	32.4%	19.9%	43.6%
85	21.4%	14.2%	29%	35.8%	22.5%	47.9%
84	23.9%	16.3%	32%	39.2%	25.1%	51.9%
83	26.6%	18.6%	35%	42.4%	27.8%	55.7%
82	29.3%	21%	38%	45.4%	30.5%	59.1%
81	32%	23.5%	40.9%	48.3%	33.2%	62.3%
80	34.8%	25.9%	43.9%	51.1%	35.8%	65.3%
79	37.5%	28.4%	46.8%	53.6%	38.4%	67.9%
78	40.2%	30.9%	49.7%	56%	40.9%	70.3%
77	42.9%	33.4%	52.5%	58.3%	43.5%	72.5%
76	45.4%	35.8%	55.2%	60.6%	46.1%	74.5%
75	47.9%	38.3%	57.7%	62.7%	48.6%	76.3%
74	50.4%	40.7%	60.1%	64.7%	51.1%	78.1%
73	52.7%	43.1%	62.4%	66.7%	53.5%	79.6%
72	55%	45.5%	64.5%	68.6%	55.9%	81.1%
71	57.2%	47.9%	66.5%	70.4%	58.2%	82.4%
70	59.4%	50.2%	68.5%	72.1%	60.5%	83.6%
69	61.5%	52.6%	70.5%	73.7%	62.7%	84.8%
68	63.7%	54.9%	72.4%	75.3%	64.9%	85.9%
67	65.8%	57.3%	74.2%	76.8%	67%	86.9%
66	67.8%	59.6%	75.9%	78.3%	69.1%	87.9%
65	69.8%	61.8%	77.6%	79.8%	71.1%	88.8%
64	71.7%	64%	79.2%	81.1%	73%	89.6%
63	73.4%	66.1%	80.6%	82.3%	74.8%	90.3%
62	75.1%	68.1%	81.9%	83.5%	76.4%	91%
61	76.7%	70%	83.1%	84.6%	78%	91.7%
60	78.1%	71.8%	84.3%	85.7%	79.5%	92.3%
59	79.5%	73.5%	85.3%	86.6%	80.8%	92.8%
58	80.8%	75.1%	86.3%	87.5%	82.1%	93.3%
57	82%	76.6%	87.2%	88.3%	83.2%	93.7%
56	83.1%	78%	88%	89%	84.4%	94.1%
55	84.2%	79.3%	88.8%	89.8%	85.4%	94.5%
54	85.2%	80.6%	89.5%	90.5%	86.4%	94.9%
53	86.1%	81.8%	90.2%	91.1%	87.4%	95.3%
52	86.9%	82.9%	90.8%	91.7%	88.2%	95.6%
51	87.7%	83.9%	91.4%	92.3%	89%	95.9%
50	88.4%	84.8%	91.9%	92.8%	89.7%	96.2%
49	89.1%	85.7%	92.3%	93.3%	90.4%	96.5%
48	89.7%	86.5%	92.7%	93.7%	91.1%	96.7%
47	90.2%	87.2%	93.1%	94.2%	91.8%	97%
46	90.8%	87.9%	93.5%	94.6%	92.3%	97.2%
45	91.3%	88.6%	93.8%	95%	92.9%	97.4%
44	91.7%	89.3%	94.1%	95.4%	93.4%	97.6%
43	92.2%	89.9%	94.4%	95.7%	93.9%	97.8%
42	92.6%	90.4%	94.7%	96%	94.3%	97.9%
41	93%	91%	94.9%	96.3%	94.8%	98%
40	93.3%	91.5%	95.1%	96.6%	95.2%	98.2%
39	93.6%	91.9%	95.3%	96.9%	95.6%	98.3%
38	93.9%	92.3%	95.5%	97.1%	96%	98.4%
37	94.2%	92.7%	95.7%	97.4%	96.3%	98.5%
36	94.5%	93.1%	95.9%	97.6%	96.6%	98.6%
35	94.7%	93.4%	96.1%	97.8%	96.9%	98.7%
34	95%	93.7%	96.3%	97.9%	97.1%	98.8%
33	95.2%	94%	96.4%	98.1%	97.4%	98.9%
32	95.4%	94.3%	96.6%	98.3%	97.6%	99%
31	95.6%	94.6%	96.7%	98.4%	97.8%	99%
30	95.8%	94.9%	96.8%	98.5%	98%	99.1%
29	96%	95.1%	97%	98.6%	98.2%	99.1%
28	96.2%	95.4%	97.1%	98.7%	98.3%	99.2%
27	96.4%	95.6%	97.2%	98.8%	98.5%	99.2%
26	96.5%	95.8%	97.3%	98.9%	98.6%	99.2%
25	96.7%	96%	97.4%	99%	98.7%	99.3%
24	96.8%	96.2%	97.5%	99.1%	98.8%	99.3%
23	97%	96.4%	97.6%	99.1%	98.9%	99.3%
22	97.1%	96.5%	97.7%	99.2%	99%	99.4%
21	97.2%	96.7%	97.8%	99.2%	99.1%	99.4%
20	97.3%	96.8%	97.8%	99.3%	99.2%	99.4%
19	97.4%	96.9%	97.9%	99.4%	99.3%	99.5%
18	97.5%	97%	98%	99.4%	99.4%	99.5%
17	97.5%	97.1%	98%	99.5%	99.4%	99.5%
16	97.6%	97.1%	98%	99.5%	99.4%	99.5%
15	97.6%	97.2%	98.1%	99.5%	99.5%	99.5%
14	97.7%	97.2%	98.1%	99.5%	99.5%	99.6%
13	97.7%	97.3%	98.1%	99.6%	99.5%	99.6%
12	97.7%	97.3%	98.2%	99.6%	99.6%	99.6%
11	97.7%	97.3%	98.2%	99.6%	99.6%	99.6%
10	97.8%	97.3%	98.2%	99.6%	99.6%	99.6%
9	97.8%	97.4%	98.2%	99.6%	99.6%	99.6%
8	97.8%	97.4%	98.2%	99.6%	99.6%	99.6%
7	97.8%	97.4%	98.2%	99.6%	99.6%	99.6%
6	97.8%	97.4%	98.2%	99.6%	99.6%	99.7%
5	97.9%	97.5%	98.3%	99.6%	99.6%	99.7%
4	97.9%	97.5%	98.3%	99.7%	99.6%	99.7%
3	98%	97.6%	98.4%	99.7%	99.7%	99.7%
2	98.1%	97.7%	98.4%	99.7%	99.7%	99.7%
1	98.2%	97.9%	98.6%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 78.1% of newborns in Guyana and 85.7% in Lithuania are expected to live past 60, 59.4% and 72.1% past 70, 34.8% and 51.1% past 80, and only 10.6% 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

Guyana

Male

Female

Lithuania

Male

Female

1x

Age	Probability of dying
	Guyana			Lithuania
	Average	Male	Female	Average	Male	Female
100	26.3%	31.3%	25%	39.3%	39.3%	39.3%
99	25.1%	30%	23.8%	36.9%	37.2%	36.8%
98	24%	28.7%	22.6%	34.4%	35%	34.3%
97	22.9%	27.3%	21.4%	32%	32.8%	31.8%
96	21.7%	26%	20.2%	29.6%	30.6%	29.3%
95	20.6%	24.8%	19.1%	27.1%	28.5%	26.8%
94	19.5%	23.6%	18%	25.2%	27.3%	24.6%
93	18.4%	22.4%	16.9%	23.2%	25.7%	22.5%
92	17.3%	21%	15.9%	20.7%	22.1%	20.2%
91	16.4%	19.8%	15%	18.3%	19.3%	18%
90	15.5%	18.7%	14.1%	16.8%	19.1%	16.1%
89	14.7%	17.6%	13.3%	15.2%	17.3%	14.5%
88	13.9%	16.7%	12.5%	13.5%	15.1%	13%
87	13.2%	15.8%	11.7%	12.3%	14.4%	11.6%
86	12.4%	14.9%	10.9%	11%	13.1%	10.2%
85	11.6%	14.1%	10.1%	9.6%	11.4%	8.93%
84	10.8%	13.2%	9.28%	8.47%	10.4%	7.75%
83	9.98%	12.3%	8.55%	7.54%	9.67%	6.7%
82	9.24%	11.4%	7.88%	6.69%	8.81%	5.82%
81	8.54%	10.4%	7.29%	6.01%	8.11%	5.12%
80	7.88%	9.56%	6.75%	5.41%	7.44%	4.51%
79	7.27%	8.74%	6.26%	4.77%	6.65%	3.91%
78	6.71%	8.02%	5.78%	4.3%	6.23%	3.39%
77	6.18%	7.39%	5.32%	3.98%	6%	2.98%
76	5.67%	6.86%	4.85%	3.69%	5.61%	2.7%
75	5.22%	6.39%	4.4%	3.4%	5.16%	2.45%
74	4.8%	5.97%	3.98%	3.14%	4.82%	2.19%
73	4.44%	5.59%	3.61%	2.93%	4.53%	1.99%
72	4.12%	5.24%	3.3%	2.74%	4.26%	1.82%
71	3.87%	4.94%	3.07%	2.54%	4.02%	1.6%
70	3.67%	4.69%	2.9%	2.35%	3.77%	1.44%
69	3.51%	4.48%	2.75%	2.23%	3.51%	1.37%
68	3.36%	4.29%	2.62%	2.11%	3.33%	1.26%
67	3.2%	4.09%	2.48%	2.01%	3.19%	1.16%
66	3.03%	3.88%	2.32%	1.92%	3.03%	1.11%
65	2.83%	3.65%	2.14%	1.79%	2.81%	1.01%
64	2.61%	3.4%	1.95%	1.64%	2.58%	0.9%
63	2.41%	3.16%	1.78%	1.52%	2.36%	0.83%
62	2.22%	2.93%	1.62%	1.41%	2.17%	0.78%
61	2.04%	2.7%	1.47%	1.31%	2.01%	0.71%
60	1.87%	2.5%	1.33%	1.2%	1.86%	0.63%
59	1.72%	2.31%	1.22%	1.09%	1.69%	0.58%
58	1.59%	2.13%	1.12%	0.98%	1.48%	0.54%
57	1.47%	1.97%	1.03%	0.91%	1.39%	0.47%
56	1.36%	1.82%	0.96%	0.86%	1.34%	0.42%
55	1.26%	1.69%	0.89%	0.83%	1.26%	0.42%
54	1.16%	1.56%	0.82%	0.78%	1.16%	0.42%
53	1.07%	1.43%	0.75%	0.7%	1.06%	0.36%
52	0.98%	1.31%	0.68%	0.65%	0.97%	0.34%
51	0.89%	1.2%	0.61%	0.61%	0.88%	0.34%
50	0.81%	1.1%	0.55%	0.56%	0.83%	0.29%
49	0.74%	1.01%	0.5%	0.53%	0.78%	0.27%
48	0.68%	0.94%	0.45%	0.51%	0.74%	0.27%
47	0.62%	0.87%	0.41%	0.48%	0.69%	0.25%
46	0.58%	0.82%	0.38%	0.44%	0.64%	0.23%
45	0.54%	0.77%	0.35%	0.41%	0.6%	0.2%
44	0.51%	0.72%	0.32%	0.38%	0.54%	0.2%
43	0.48%	0.68%	0.3%	0.35%	0.5%	0.19%
42	0.44%	0.63%	0.28%	0.33%	0.49%	0.16%
41	0.41%	0.58%	0.26%	0.31%	0.47%	0.13%
40	0.38%	0.53%	0.24%	0.28%	0.42%	0.13%
39	0.35%	0.49%	0.22%	0.28%	0.41%	0.13%
38	0.32%	0.45%	0.21%	0.27%	0.4%	0.12%
37	0.3%	0.41%	0.2%	0.23%	0.33%	0.11%
36	0.28%	0.39%	0.19%	0.21%	0.3%	0.1%
35	0.27%	0.36%	0.18%	0.2%	0.29%	0.09%
34	0.25%	0.34%	0.17%	0.19%	0.28%	0.09%
33	0.24%	0.32%	0.16%	0.18%	0.26%	0.09%
32	0.23%	0.31%	0.15%	0.15%	0.23%	0.06%
31	0.22%	0.29%	0.15%	0.13%	0.2%	0.06%
30	0.21%	0.28%	0.14%	0.13%	0.19%	0.06%
29	0.2%	0.27%	0.13%	0.13%	0.2%	0.05%
28	0.19%	0.25%	0.12%	0.11%	0.18%	0.04%
27	0.18%	0.24%	0.12%	0.09%	0.14%	0.04%
26	0.17%	0.23%	0.11%	0.08%	0.13%	0.04%
25	0.16%	0.21%	0.11%	0.08%	0.12%	0.03%
24	0.15%	0.19%	0.1%	0.07%	0.11%	0.03%
23	0.14%	0.18%	0.1%	0.07%	0.1%	0.03%
22	0.12%	0.16%	0.09%	0.06%	0.09%	0.03%
21	0.11%	0.14%	0.08%	0.06%	0.08%	0.03%
20	0.1%	0.12%	0.07%	0.06%	0.08%	0.03%
19	0.09%	0.11%	0.07%	0.06%	0.09%	0.03%
18	0.08%	0.09%	0.06%	0.05%	0.07%	0.03%
17	0.07%	0.08%	0.05%	0.03%	0.04%	0.02%
16	0.05%	0.07%	0.04%	0.03%	0.05%	0.02%
15	0.04%	0.06%	0.03%	0.03%	0.04%	0.02%
14	0.04%	0.05%	0.03%	0.03%	0.03%	0.02%
13	0.03%	0.04%	0.02%	0.02%	0.02%	0.02%
12	0.03%	0.03%	0.02%	0.01%	0.02%	0.01%
11	0.02%	0.03%	0.02%	0.01%	0.02%	0.008%
10	0.02%	0.03%	0.02%	0.01%	0.01%	0.01%
9	0.02%	0.02%	0.01%	0.01%	0.009%	0.01%
8	0.02%	0.02%	0.01%	0.01%	0.01%	0.01%
7	0.02%	0.02%	0.01%	0.01%	0.01%	0.01%
6	0.02%	0.03%	0.02%	0.01%	0.009%	0.01%
5	0.03%	0.03%	0.02%	0.009%	0.009%	0.01%
4	0.04%	0.05%	0.04%	0.01%	0.01%	0.01%
3	0.07%	0.08%	0.06%	0.01%	0.01%	0.01%
2	0.11%	0.12%	0.09%	0.01%	0.01%	0.01%
1	0.18%	0.2%	0.15%	0.03%	0.02%	0.03%
0	1.75%	2.09%	1.4%	0.29%	0.3%	0.28%

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

The annual chance of dying is 1.75% in the birth year in Guyana and 0.29% in Lithuania, 0.21% vs 0.13% at age 30, 1.87% vs 1.2% at 60, and 7.88% vs 5.41% at 80.

Death rate by age in Guyana vs Lithuania

Chart Table

Guyana

Male

Female

Lithuania

Male

Female

1x

Age	Death rate
	Guyana			Lithuania
	Total	Male	Female	Total	Male	Female
100	241.9	71.2	438	174.6	56.5	274.1
99	371	158.4	611	485	230.3	706
98	467	212.1	748	690	333	1,000
97	577	278.1	901	945	465	1,362
96	700	358	1,067	1,240	624	1,777
95	836	454	1,246	1,559	812	2,213
94	981	565	1,431	1,933	1,074	2,695
93	1,133	690	1,617	2,322	1,356	3,186
92	1,292	822	1,806	2,605	1,503	3,588
91	1,459	963	2,000	2,822	1,627	3,887
90	1,638	1,118	2,197	3,119	1,989	4,148
89	1,822	1,282	2,389	3,315	2,179	4,361
88	2,004	1,454	2,566	3,420	2,242	4,500
87	2,179	1,635	2,719	3,556	2,501	4,539
86	2,337	1,819	2,837	3,561	2,606	4,462
85	2,470	1,996	2,919	3,442	2,562	4,282
84	2,576	2,158	2,967	3,319	2,605	4,028
83	2,655	2,293	2,988	3,194	2,688	3,733
82	2,708	2,392	2,992	3,036	2,683	3,441
81	2,735	2,452	2,985	2,903	2,691	3,191
80	2,741	2,479	2,965	2,761	2,665	2,945
79	2,727	2,484	2,932	2,559	2,550	2,657
78	2,698	2,478	2,876	2,410	2,551	2,381
77	2,648	2,468	2,791	2,321	2,611	2,161
76	2,579	2,458	2,676	2,234	2,586	2,009
75	2,501	2,447	2,537	2,134	2,512	1,873
74	2,419	2,431	2,389	2,030	2,466	1,712
73	2,337	2,409	2,249	1,953	2,423	1,589
72	2,266	2,385	2,130	1,881	2,380	1,473
71	2,213	2,364	2,045	1,785	2,341	1,322
70	2,180	2,354	1,987	1,696	2,284	1,202
69	2,161	2,357	1,941	1,642	2,203	1,159
68	2,138	2,354	1,895	1,590	2,161	1,081
67	2,104	2,341	1,837	1,542	2,140	1,004
66	2,051	2,313	1,759	1,507	2,091	975
65	1,972	2,255	1,659	1,429	2,002	900
64	1,874	2,174	1,547	1,330	1,887	809
63	1,772	2,086	1,435	1,248	1,765	754
62	1,669	1,992	1,325	1,177	1,655	711
61	1,563	1,892	1,219	1,106	1,569	648
60	1,463	1,793	1,123	1,028	1,481	582
59	1,368	1,694	1,038	942	1,363	535
58	1,281	1,598	964	857	1,218	506
57	1,201	1,507	899	800	1,155	445
56	1,128	1,421	841	766	1,132	394
55	1,059	1,338	786	742	1,077	398
54	990	1,255	731	702	1,001	394
53	919	1,171	675	639	928	338
52	849	1,088	617	596	853	327
51	780	1,008	560	560	787	324
50	715	934	506	518	741	280.7
49	656	867	457	493	708	260
48	606	809	416	475	674	256.5
47	563	760	381	448	630	244.5
46	527	718	352	417	589	222.4
45	496	680	327	391	555	199.3
44	467	644	305	361	507	192
43	438	607	284.2	336	467	183.2
42	409	568	264.9	320	461	155.8
41	380	528	246.6	301	446	132.1
40	352	488	229.5	275.1	398	130.8
39	326	449	214.1	271.3	396	125
38	302	415	200.6	262.3	387	115.9
37	282	385	189.1	224.5	322	110.3
36	265.2	359	179.4	201.3	287.8	100.8
35	251.1	338	171	194	281.1	93.1
34	239.1	320	163.6	186.8	269.6	92.7
33	228.5	304	156.5	172.2	250.4	84.7
32	218.7	290.9	149.1	148.5	225.2	62.9
31	209.2	278.3	141.5	130.3	194.6	59.1
30	199.8	266.3	133.8	123.6	182.3	59.6
29	190.8	254.6	126.6	123.7	194.9	46.9
28	182	242.5	120.3	109.5	173.6	40.2
27	173.2	229.9	115	90.6	138.4	39.5
26	164.3	216.6	110.1	82.1	123.9	38.2
25	154.7	202.2	105.2	77	118.5	33.7
24	144.1	186.4	99.7	67.9	107	27.3
23	132.6	169.8	93.5	64.5	99.2	28.2
22	120.7	153.1	86.7	62.3	92.2	31.2
21	108.7	136.6	79.3	56.7	82.6	30
20	96.9	120.9	71.6	56.2	83.3	28.3
19	85.6	106.2	64	62.7	94.3	30
18	74.4	92	56.1	50.7	70.8	29.8
17	63.4	78.2	48.1	34.2	43.8	24.1
16	53	65.1	40.3	30.9	45.9	15.2
15	43.7	53.6	33.4	29.1	40.8	16.8
14	35.8	43.8	27.5	25	28.9	20.8
13	29.6	36.2	22.8	19.1	21.8	16.4
12	24.9	30.5	19.1	14.3	18.6	9.7
11	21.6	26.5	16.5	12.2	15.7	8.41
10	19.9	24.4	15.3	10.5	10.8	10.2
9	18.9	23.2	14.5	10.3	9.11	11.5
8	17.9	21.9	13.7	12	13.2	10.7
7	17.9	21.9	13.8	11.3	12	10.7
6	21	25.2	16.5	9.63	8.66	10.7
5	28.7	33.9	23.3	9.42	9.23	9.62
4	42.7	49.7	35.4	11.3	12.2	10.4
3	65.7	75.7	55.3	13.8	14.4	13.1
2	105.8	120.5	90.4	13.2	14.4	11.8
1	174.3	197	150.8	25.4	24.3	26.4
0	1,755	2,093	1,404	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 Guyana, the most common age of death is 80, compared to 86 in Lithuania. The median age of death is 74.1 in Guyana 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 Guyana and Lithuania more than their death rates.

Life expectancy in other countries

+ -

1x