Life Expectancy in Lithuania vs Papua New Guinea (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Papua New Guinea

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Papua New Guinea
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	101.8	101.7	101.9
99	101.1	100.9	101.1	100.9	100.8	101
98	100.2	100.1	100.2	100	99.9	100.1
97	99.3	99.2	99.3	99.1	99	99.2
96	98.5	98.4	98.5	98.2	98.1	98.3
95	97.7	97.6	97.7	97.3	97.2	97.4
94	96.9	96.7	96.9	96.5	96.3	96.5
93	96.1	95.9	96.1	95.6	95.5	95.7
92	95.4	95.2	95.4	94.8	94.6	94.9
91	94.6	94.4	94.7	93.9	93.8	94
90	94	93.7	94	93.1	92.9	93.2
89	93.3	93	93.4	92.3	92.1	92.4
88	92.6	92.3	92.7	91.5	91.3	91.7
87	92	91.6	92.1	90.7	90.5	90.9
86	91.4	90.9	91.6	89.9	89.7	90.1
85	90.8	90.3	91	89.2	88.9	89.4
84	90.3	89.7	90.5	88.4	88.1	88.7
83	89.8	89.1	90	87.7	87.4	88
82	89.3	88.5	89.6	87	86.7	87.3
81	88.8	88	89.2	86.3	85.9	86.7
80	88.4	87.4	88.8	85.7	85.3	86.1
79	88	86.9	88.4	85	84.6	85.5
78	87.5	86.4	88.1	84.4	83.9	84.9
77	87.1	85.8	87.8	83.8	83.2	84.3
76	86.8	85.3	87.5	83.2	82.6	83.8
75	86.4	84.8	87.2	82.6	82	83.3
74	86	84.3	86.9	82.1	81.4	82.8
73	85.6	83.8	86.6	81.5	80.8	82.3
72	85.3	83.3	86.4	81	80.3	81.8
71	84.9	82.9	86.1	80.5	79.7	81.4
70	84.6	82.4	85.9	80	79.2	81
69	84.2	81.9	85.7	79.6	78.7	80.6
68	83.9	81.5	85.5	79.1	78.2	80.2
67	83.6	81	85.3	78.7	77.7	79.9
66	83.3	80.6	85.1	78.3	77.2	79.6
65	82.9	80.2	84.9	77.9	76.8	79.2
64	82.6	79.8	84.7	77.5	76.3	78.9
63	82.3	79.4	84.5	77.1	75.9	78.6
62	82.1	79	84.3	76.8	75.5	78.4
61	81.8	78.7	84.2	76.5	75.1	78.1
60	81.5	78.3	84	76.1	74.8	77.8
59	81.3	78	83.9	75.8	74.4	77.6
58	81.1	77.7	83.7	75.5	74.1	77.4
57	80.9	77.4	83.6	75.3	73.8	77.1
56	80.7	77.2	83.5	75	73.4	76.9
55	80.4	76.9	83.4	74.7	73.2	76.7
54	80.2	76.6	83.3	74.5	72.9	76.5
53	80.1	76.4	83.2	74.3	72.6	76.3
52	79.9	76.2	83.1	74.1	72.3	76.1
51	79.7	75.9	82.9	73.8	72.1	76
50	79.5	75.7	82.9	73.6	71.9	75.8
49	79.4	75.5	82.8	73.4	71.6	75.6
48	79.2	75.3	82.7	73.3	71.4	75.5
47	79.1	75.1	82.6	73.1	71.2	75.3
46	78.9	74.9	82.5	72.9	71	75.2
45	78.8	74.8	82.4	72.7	70.9	75
44	78.7	74.6	82.3	72.6	70.7	74.9
43	78.5	74.4	82.3	72.4	70.5	74.8
42	78.4	74.3	82.2	72.3	70.4	74.6
41	78.3	74.1	82.2	72.2	70.2	74.5
40	78.2	74	82.1	72	70.1	74.4
39	78.1	73.9	82	71.9	69.9	74.3
38	78	73.7	82	71.8	69.8	74.2
37	77.9	73.6	81.9	71.7	69.7	74.1
36	77.8	73.5	81.9	71.6	69.5	74
35	77.7	73.4	81.9	71.5	69.4	73.9
34	77.6	73.3	81.8	71.4	69.3	73.8
33	77.6	73.2	81.8	71.3	69.2	73.7
32	77.5	73.1	81.7	71.2	69.1	73.6
31	77.4	73	81.7	71.1	69	73.6
30	77.4	72.9	81.7	71	68.9	73.5
29	77.3	72.8	81.7	70.9	68.8	73.4
28	77.3	72.7	81.6	70.8	68.6	73.3
27	77.2	72.7	81.6	70.7	68.5	73.2
26	77.2	72.6	81.6	70.6	68.4	73.2
25	77.1	72.6	81.6	70.5	68.3	73.1
24	77.1	72.5	81.6	70.4	68.2	73
23	77.1	72.5	81.5	70.3	68.1	72.9
22	77	72.4	81.5	70.2	68	72.9
21	77	72.4	81.5	70.1	67.8	72.8
20	77	72.3	81.5	70	67.7	72.7
19	76.9	72.3	81.5	69.9	67.6	72.6
18	76.9	72.2	81.4	69.8	67.5	72.6
17	76.9	72.2	81.4	69.7	67.4	72.5
16	76.9	72.2	81.4	69.6	67.3	72.4
15	76.8	72.2	81.4	69.6	67.3	72.4
14	76.8	72.2	81.4	69.5	67.2	72.3
13	76.8	72.1	81.4	69.5	67.2	72.3
12	76.8	72.1	81.4	69.5	67.1	72.3
11	76.8	72.1	81.4	69.4	67.1	72.2
10	76.8	72.1	81.4	69.4	67	72.2
9	76.8	72.1	81.4	69.3	67	72.2
8	76.8	72.1	81.3	69.3	67	72.1
7	76.8	72.1	81.3	69.2	66.9	72.1
6	76.8	72.1	81.3	69.2	66.8	72
5	76.8	72.1	81.3	69.1	66.8	71.9
4	76.7	72.1	81.3	69	66.7	71.9
3	76.7	72.1	81.3	68.9	66.6	71.7
2	76.7	72	81.3	68.8	66.4	71.6
1	76.7	72	81.3	68.6	66.3	71.4
0	76.5	71.8	81.1	66.5	64	69.5

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 Lithuania can expect to live to 77.4 years compared to 71 in Papua New Guinea, rising to 82.9 and 77.9 at 65, and to 88.4 and 85.7 at 80 — higher than the 76.5 and 66.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Papua New Guinea

Male

Female

1x

Age	Survival probability
	Lithuania			Papua New Guinea
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	0.09%	0.04%	0.16%
99	1.32%	0.62%	1.92%	0.14%	0.07%	0.26%
98	2.01%	0.95%	2.92%	0.23%	0.12%	0.41%
97	2.95%	1.42%	4.28%	0.36%	0.2%	0.63%
96	4.19%	2.04%	6.06%	0.55%	0.31%	0.94%
95	5.75%	2.85%	8.27%	0.82%	0.46%	1.37%
94	7.68%	3.93%	11%	1.18%	0.69%	1.95%
93	10%	5.28%	14.2%	1.67%	0.99%	2.7%
92	12.6%	6.79%	17.7%	2.29%	1.39%	3.65%
91	15.4%	8.41%	21.6%	3.09%	1.92%	4.82%
90	18.6%	10.4%	25.8%	4.07%	2.58%	6.24%
89	21.9%	12.6%	30.1%	5.25%	3.41%	7.93%
88	25.3%	14.8%	34.6%	6.67%	4.43%	9.89%
87	28.8%	17.3%	39.2%	8.31%	5.63%	12.1%
86	32.4%	19.9%	43.6%	10.2%	7.04%	14.6%
85	35.8%	22.5%	47.9%	12.3%	8.66%	17.3%
84	39.2%	25.1%	51.9%	14.6%	10.5%	20.3%
83	42.4%	27.8%	55.7%	17.1%	12.5%	23.4%
82	45.4%	30.5%	59.1%	19.7%	14.7%	26.6%
81	48.3%	33.2%	62.3%	22.5%	17%	29.9%
80	51.1%	35.8%	65.3%	25.4%	19.5%	33.3%
79	53.6%	38.4%	67.9%	28.4%	22.1%	36.7%
78	56%	40.9%	70.3%	31.4%	24.8%	40%
77	58.3%	43.5%	72.5%	34.5%	27.7%	43.3%
76	60.6%	46.1%	74.5%	37.6%	30.5%	46.6%
75	62.7%	48.6%	76.3%	40.6%	33.4%	49.7%
74	64.7%	51.1%	78.1%	43.6%	36.3%	52.7%
73	66.7%	53.5%	79.6%	46.5%	39.2%	55.5%
72	68.6%	55.9%	81.1%	49.3%	42.1%	58.2%
71	70.4%	58.2%	82.4%	52%	44.9%	60.7%
70	72.1%	60.5%	83.6%	54.6%	47.6%	63.1%
69	73.7%	62.7%	84.8%	57.1%	50.3%	65.3%
68	75.3%	64.9%	85.9%	59.5%	52.9%	67.3%
67	76.8%	67%	86.9%	61.8%	55.4%	69.2%
66	78.3%	69.1%	87.9%	63.9%	57.8%	71%
65	79.8%	71.1%	88.8%	66%	60.1%	72.6%
64	81.1%	73%	89.6%	67.9%	62.3%	74.2%
63	82.3%	74.8%	90.3%	69.7%	64.4%	75.6%
62	83.5%	76.4%	91%	71.4%	66.4%	76.9%
61	84.6%	78%	91.7%	73%	68.3%	78.2%
60	85.7%	79.5%	92.3%	74.5%	70%	79.3%
59	86.6%	80.8%	92.8%	75.9%	71.7%	80.4%
58	87.5%	82.1%	93.3%	77.2%	73.2%	81.4%
57	88.3%	83.2%	93.7%	78.4%	74.7%	82.3%
56	89%	84.4%	94.1%	79.5%	76%	83.2%
55	89.8%	85.4%	94.5%	80.6%	77.3%	84%
54	90.5%	86.4%	94.9%	81.5%	78.5%	84.8%
53	91.1%	87.4%	95.3%	82.5%	79.6%	85.5%
52	91.7%	88.2%	95.6%	83.3%	80.6%	86.1%
51	92.3%	89%	95.9%	84.1%	81.6%	86.8%
50	92.8%	89.7%	96.2%	84.8%	82.5%	87.4%
49	93.3%	90.4%	96.5%	85.5%	83.3%	87.9%
48	93.7%	91.1%	96.7%	86.2%	84.1%	88.4%
47	94.2%	91.8%	97%	86.8%	84.8%	88.9%
46	94.6%	92.3%	97.2%	87.3%	85.4%	89.4%
45	95%	92.9%	97.4%	87.8%	86%	89.8%
44	95.4%	93.4%	97.6%	88.3%	86.6%	90.2%
43	95.7%	93.9%	97.8%	88.8%	87.1%	90.5%
42	96%	94.3%	97.9%	89.2%	87.6%	90.9%
41	96.3%	94.8%	98%	89.6%	88.1%	91.2%
40	96.6%	95.2%	98.2%	90%	88.5%	91.5%
39	96.9%	95.6%	98.3%	90.3%	88.9%	91.8%
38	97.1%	96%	98.4%	90.6%	89.3%	92.1%
37	97.4%	96.3%	98.5%	90.9%	89.7%	92.3%
36	97.6%	96.6%	98.6%	91.2%	90%	92.6%
35	97.8%	96.9%	98.7%	91.5%	90.3%	92.8%
34	97.9%	97.1%	98.8%	91.8%	90.6%	93%
33	98.1%	97.4%	98.9%	92%	90.9%	93.2%
32	98.3%	97.6%	99%	92.2%	91.2%	93.4%
31	98.4%	97.8%	99%	92.5%	91.5%	93.6%
30	98.5%	98%	99.1%	92.7%	91.7%	93.8%
29	98.6%	98.2%	99.1%	92.9%	92%	93.9%
28	98.7%	98.3%	99.2%	93.1%	92.2%	94.1%
27	98.8%	98.5%	99.2%	93.3%	92.5%	94.3%
26	98.9%	98.6%	99.2%	93.5%	92.7%	94.4%
25	99%	98.7%	99.3%	93.7%	93%	94.6%
24	99.1%	98.8%	99.3%	93.9%	93.2%	94.7%
23	99.1%	98.9%	99.3%	94.1%	93.5%	94.9%
22	99.2%	99%	99.4%	94.3%	93.7%	95%
21	99.2%	99.1%	99.4%	94.5%	94%	95.1%
20	99.3%	99.2%	99.4%	94.7%	94.2%	95.3%
19	99.4%	99.3%	99.5%	94.9%	94.4%	95.4%
18	99.4%	99.4%	99.5%	95.1%	94.6%	95.5%
17	99.5%	99.4%	99.5%	95.2%	94.8%	95.6%
16	99.5%	99.4%	99.5%	95.3%	94.9%	95.7%
15	99.5%	99.5%	99.5%	95.4%	95.1%	95.8%
14	99.5%	99.5%	99.6%	95.5%	95.1%	95.9%
13	99.6%	99.5%	99.6%	95.6%	95.2%	96%
12	99.6%	99.6%	99.6%	95.7%	95.3%	96%
11	99.6%	99.6%	99.6%	95.7%	95.4%	96.1%
10	99.6%	99.6%	99.6%	95.8%	95.4%	96.2%
9	99.6%	99.6%	99.6%	95.8%	95.5%	96.2%
8	99.6%	99.6%	99.6%	95.9%	95.6%	96.3%
7	99.6%	99.6%	99.6%	96%	95.7%	96.3%
6	99.6%	99.6%	99.7%	96.1%	95.8%	96.4%
5	99.6%	99.6%	99.7%	96.2%	95.9%	96.5%
4	99.7%	99.6%	99.7%	96.3%	96%	96.7%
3	99.7%	99.7%	99.7%	96.5%	96.2%	96.8%
2	99.7%	99.7%	99.7%	96.7%	96.4%	97%
1	99.7%	99.7%	99.7%	96.9%	96.6%	97.2%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 74.5% in Papua New Guinea are expected to live past 60, 72.1% and 54.6% past 70, 51.1% and 25.4% past 80, and only 18.6% and 4.07% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Lithuania

Male

Female

Papua New Guinea

Male

Female

1x

Age	Probability of dying
	Lithuania			Papua New Guinea
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	41.5%	42.6%	40.5%
99	36.9%	37.2%	36.8%	39.7%	40.9%	38.7%
98	34.4%	35%	34.3%	37.9%	39.2%	36.9%
97	32%	32.8%	31.8%	36.2%	37.5%	35.1%
96	29.6%	30.6%	29.3%	34.4%	35.8%	33.2%
95	27.1%	28.5%	26.8%	32.6%	34.1%	31.4%
94	25.2%	27.3%	24.6%	30.7%	32.3%	29.5%
93	23.2%	25.7%	22.5%	29%	30.6%	27.7%
92	20.7%	22.1%	20.2%	27.3%	29%	26%
91	18.3%	19.3%	18%	25.7%	27.4%	24.4%
90	16.8%	19.1%	16.1%	24.1%	25.8%	22.8%
89	15.2%	17.3%	14.5%	22.6%	24.3%	21.3%
88	13.5%	15.1%	13%	21.2%	22.9%	19.8%
87	12.3%	14.4%	11.6%	19.8%	21.4%	18.4%
86	11%	13.1%	10.2%	18.4%	20%	17%
85	9.6%	11.4%	8.93%	17%	18.6%	15.7%
84	8.47%	10.4%	7.75%	15.8%	17.3%	14.4%
83	7.54%	9.67%	6.7%	14.6%	16.1%	13.2%
82	6.69%	8.81%	5.82%	13.4%	14.9%	12.1%
81	6.01%	8.11%	5.12%	12.4%	13.8%	11.1%
80	5.41%	7.44%	4.51%	11.4%	12.8%	10.1%
79	4.77%	6.65%	3.91%	10.5%	11.9%	9.23%
78	4.3%	6.23%	3.39%	9.71%	11%	8.4%
77	3.98%	6%	2.98%	8.9%	10.2%	7.64%
76	3.69%	5.61%	2.7%	8.14%	9.41%	6.93%
75	3.4%	5.16%	2.45%	7.46%	8.68%	6.28%
74	3.14%	4.82%	2.19%	6.84%	8.01%	5.67%
73	2.93%	4.53%	1.99%	6.26%	7.37%	5.12%
72	2.74%	4.26%	1.82%	5.72%	6.79%	4.61%
71	2.54%	4.02%	1.6%	5.23%	6.25%	4.15%
70	2.35%	3.77%	1.44%	4.79%	5.76%	3.74%
69	2.23%	3.51%	1.37%	4.38%	5.3%	3.37%
68	2.11%	3.33%	1.26%	4.01%	4.89%	3.05%
67	2.01%	3.19%	1.16%	3.68%	4.51%	2.76%
66	1.92%	3.03%	1.11%	3.37%	4.16%	2.5%
65	1.79%	2.81%	1.01%	3.09%	3.84%	2.27%
64	1.64%	2.58%	0.9%	2.84%	3.54%	2.07%
63	1.52%	2.36%	0.83%	2.6%	3.25%	1.89%
62	1.41%	2.17%	0.78%	2.38%	2.99%	1.73%
61	1.31%	2.01%	0.71%	2.18%	2.74%	1.58%
60	1.2%	1.86%	0.63%	2%	2.51%	1.45%
59	1.09%	1.69%	0.58%	1.83%	2.3%	1.33%
58	0.98%	1.48%	0.54%	1.67%	2.11%	1.23%
57	0.91%	1.39%	0.47%	1.54%	1.94%	1.13%
56	0.86%	1.34%	0.42%	1.41%	1.78%	1.04%
55	0.83%	1.26%	0.42%	1.3%	1.64%	0.97%
54	0.78%	1.16%	0.42%	1.2%	1.51%	0.9%
53	0.7%	1.06%	0.36%	1.11%	1.39%	0.83%
52	0.65%	0.97%	0.34%	1.02%	1.28%	0.77%
51	0.61%	0.88%	0.34%	0.95%	1.18%	0.72%
50	0.56%	0.83%	0.29%	0.87%	1.08%	0.67%
49	0.53%	0.78%	0.27%	0.81%	0.99%	0.63%
48	0.51%	0.74%	0.27%	0.74%	0.91%	0.58%
47	0.48%	0.69%	0.25%	0.69%	0.84%	0.54%
46	0.44%	0.64%	0.23%	0.63%	0.77%	0.5%
45	0.41%	0.6%	0.2%	0.59%	0.71%	0.47%
44	0.38%	0.54%	0.2%	0.54%	0.66%	0.43%
43	0.35%	0.5%	0.19%	0.5%	0.61%	0.4%
42	0.33%	0.49%	0.16%	0.47%	0.56%	0.38%
41	0.31%	0.47%	0.13%	0.44%	0.52%	0.36%
40	0.28%	0.42%	0.13%	0.41%	0.49%	0.33%
39	0.28%	0.41%	0.13%	0.38%	0.45%	0.31%
38	0.27%	0.4%	0.12%	0.36%	0.42%	0.3%
37	0.23%	0.33%	0.11%	0.34%	0.4%	0.28%
36	0.21%	0.3%	0.1%	0.32%	0.38%	0.26%
35	0.2%	0.29%	0.09%	0.3%	0.35%	0.25%
34	0.19%	0.28%	0.09%	0.28%	0.34%	0.23%
33	0.18%	0.26%	0.09%	0.27%	0.32%	0.22%
32	0.15%	0.23%	0.06%	0.26%	0.3%	0.21%
31	0.13%	0.2%	0.06%	0.25%	0.29%	0.2%
30	0.13%	0.19%	0.06%	0.24%	0.28%	0.19%
29	0.13%	0.2%	0.05%	0.23%	0.28%	0.18%
28	0.11%	0.18%	0.04%	0.23%	0.27%	0.18%
27	0.09%	0.14%	0.04%	0.22%	0.27%	0.17%
26	0.08%	0.13%	0.04%	0.22%	0.27%	0.16%
25	0.08%	0.12%	0.03%	0.21%	0.26%	0.16%
24	0.07%	0.11%	0.03%	0.21%	0.27%	0.15%
23	0.07%	0.1%	0.03%	0.21%	0.27%	0.15%
22	0.06%	0.09%	0.03%	0.21%	0.27%	0.15%
21	0.06%	0.08%	0.03%	0.21%	0.26%	0.14%
20	0.06%	0.08%	0.03%	0.2%	0.25%	0.14%
19	0.06%	0.09%	0.03%	0.19%	0.24%	0.14%
18	0.05%	0.07%	0.03%	0.17%	0.21%	0.13%
17	0.03%	0.04%	0.02%	0.15%	0.18%	0.12%
16	0.03%	0.05%	0.02%	0.13%	0.15%	0.11%
15	0.03%	0.04%	0.02%	0.11%	0.12%	0.09%
14	0.03%	0.03%	0.02%	0.09%	0.1%	0.08%
13	0.02%	0.02%	0.02%	0.08%	0.08%	0.07%
12	0.01%	0.02%	0.01%	0.07%	0.07%	0.06%
11	0.01%	0.02%	0.008%	0.06%	0.07%	0.06%
10	0.01%	0.01%	0.01%	0.06%	0.07%	0.06%
9	0.01%	0.009%	0.01%	0.07%	0.07%	0.06%
8	0.01%	0.01%	0.01%	0.07%	0.08%	0.07%
7	0.01%	0.01%	0.01%	0.08%	0.09%	0.08%
6	0.01%	0.009%	0.01%	0.1%	0.1%	0.09%
5	0.009%	0.009%	0.01%	0.11%	0.12%	0.11%
4	0.01%	0.01%	0.01%	0.14%	0.15%	0.13%
3	0.01%	0.01%	0.01%	0.17%	0.18%	0.16%
2	0.01%	0.01%	0.01%	0.2%	0.21%	0.19%
1	0.03%	0.02%	0.03%	0.25%	0.26%	0.24%
0	0.29%	0.3%	0.28%	3.08%	3.36%	2.77%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 3.08% in Papua New Guinea, 0.13% vs 0.24% at age 30, 1.2% vs 2% at 60, and 5.41% vs 11.4% at 80.

Death rate by age in Lithuania vs Papua New Guinea

Chart Table

Lithuania

Male

Female

Papua New Guinea

Male

Female

1x

Age	Death rate
	Lithuania			Papua New Guinea
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	0	0	0
99	485	230.3	706	57	30.4	99.7
98	690	333	1,000	87.9	48.1	150.7
97	945	465	1,362	131.3	73.6	220.8
96	1,240	624	1,777	190.1	109.5	313
95	1,559	812	2,213	266.9	158	431
94	1,933	1,074	2,695	364	221.6	576
93	2,322	1,356	3,186	483	303	748
92	2,605	1,503	3,588	626	403	948
91	2,822	1,627	3,887	792	524	1,174
90	3,119	1,989	4,148	981	667	1,422
89	3,315	2,179	4,361	1,189	831	1,688
88	3,420	2,242	4,500	1,412	1,012	1,961
87	3,556	2,501	4,539	1,643	1,208	2,233
86	3,561	2,606	4,462	1,872	1,410	2,491
85	3,442	2,562	4,282	2,093	1,614	2,726
84	3,319	2,605	4,028	2,298	1,813	2,929
83	3,194	2,688	3,733	2,482	2,003	3,095
82	3,036	2,683	3,441	2,645	2,181	3,224
81	2,903	2,691	3,191	2,784	2,345	3,314
80	2,761	2,665	2,945	2,899	2,493	3,367
79	2,559	2,550	2,657	2,989	2,623	3,382
78	2,410	2,551	2,381	3,051	2,731	3,363
77	2,321	2,611	2,161	3,071	2,815	3,310
76	2,234	2,586	2,009	3,058	2,873	3,227
75	2,134	2,512	1,873	3,029	2,904	3,117
74	2,030	2,466	1,712	2,978	2,910	2,987
73	1,953	2,423	1,589	2,907	2,893	2,840
72	1,881	2,380	1,473	2,821	2,858	2,683
71	1,785	2,341	1,322	2,722	2,806	2,521
70	1,696	2,284	1,202	2,615	2,742	2,359
69	1,642	2,203	1,159	2,503	2,668	2,201
68	1,590	2,161	1,081	2,387	2,587	2,050
67	1,542	2,140	1,004	2,272	2,499	1,907
66	1,507	2,091	975	2,157	2,405	1,775
65	1,429	2,002	900	2,042	2,307	1,651
64	1,330	1,887	809	1,928	2,204	1,537
63	1,248	1,765	754	1,815	2,096	1,430
62	1,177	1,655	711	1,703	1,985	1,330
61	1,106	1,569	648	1,593	1,873	1,237
60	1,028	1,481	582	1,488	1,761	1,151
59	942	1,363	535	1,387	1,651	1,071
58	857	1,218	506	1,292	1,546	997
57	800	1,155	445	1,204	1,446	930
56	766	1,132	394	1,123	1,353	868
55	742	1,077	398	1,048	1,265	812
54	702	1,001	394	979	1,183	760
53	639	928	338	914	1,104	712
52	596	853	327	853	1,030	668
51	560	787	324	796	959	626
50	518	741	280.7	742	892	587
49	493	708	260	690	828	550
48	475	674	256.5	642	768	514
47	448	630	244.5	597	712	480
46	417	589	222.4	554	660	448
45	391	555	199.3	515	612	419
44	361	507	192	480	568	391
43	336	467	183.2	447	528	366
42	320	461	155.8	418	492	344
41	301	446	132.1	392	460	324
40	275.1	398	130.8	368	430	306
39	271.3	396	125	347	404	289.1
38	262.3	387	115.9	327	379	273.1
37	224.5	322	110.3	309	358	257.6
36	201.3	287.8	100.8	291.4	338	242.8
35	194	281.1	93.1	275.7	320	228.9
34	186.8	269.6	92.7	261.5	304	216.2
33	172.2	250.4	84.7	249	289.8	204.9
32	148.5	225.2	62.9	238.2	277.8	195.1
31	130.3	194.6	59.1	229.1	267.8	186.7
30	123.6	182.3	59.6	221.5	259.8	179.4
29	123.7	194.9	46.9	215.2	253.7	172.7
28	109.5	173.6	40.2	209.9	249.4	166.2
27	90.6	138.4	39.5	205.6	246.8	159.7
26	82.1	123.9	38.2	202.1	245.8	153.5
25	77	118.5	33.7	199.6	246.2	147.7
24	67.9	107	27.3	198.2	247.5	143
23	64.5	99.2	28.2	197.5	249	139.8
22	62.3	92.2	31.2	196.9	249.5	137.9
21	56.7	82.6	30	195.2	247.2	136.8
20	56.2	83.3	28.3	190.3	239.4	135.2
19	62.7	94.3	30	180.6	224.3	131.8
18	50.7	70.8	29.8	165.4	201.6	125.1
17	34.2	43.8	24.1	145.5	173.1	114.8
16	30.9	45.9	15.2	123.8	143.4	102.1
15	29.1	40.8	16.8	103.3	116.4	88.8
14	25	28.9	20.8	86.3	94.9	76.8
13	19.1	21.8	16.4	73.8	79.6	67.5
12	14.3	18.6	9.7	65.8	70	61.1
11	12.2	15.7	8.41	61.7	65.4	57.8
10	10.5	10.8	10.2	61.3	64.9	57.3
9	10.3	9.11	11.5	64.1	68.3	59.6
8	12	13.2	10.7	70.2	75.1	64.8
7	11.3	12	10.7	79.6	85.6	73.1
6	9.63	8.66	10.7	92.7	99.9	85
5	9.42	9.23	9.62	110.1	118.2	101.4
4	11.3	12.2	10.4	132.5	141.3	123
3	13.8	14.4	13.1	160.8	169.8	151.2
2	13.2	14.4	11.8	196.3	204.7	187.3
1	25.4	24.3	26.4	240.4	247.3	233
0	291.9	305	278.5	3,076	3,364	2,770

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 Lithuania, the most common age of death is 86, compared to 0 in Papua New Guinea. The median age of death is 80.4 in Lithuania and 71.7 in Papua New Guinea, 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 Lithuania and Papua New Guinea more than their death rates.

Life expectancy in other countries

+ -

1x