Life Expectancy in Lithuania vs Pakistan (1950-2026)

Life expectancy by current age

Chart Table

Lithuania

Male

Female

Pakistan

Male

Female

1x

Current age, years	Total life expectancy, years
	Lithuania			Pakistan
	Average	Male	Female	Average	Male	Female
100	102	101.8	102	101.7	101.6	101.7
99	101.1	100.9	101.1	100.7	100.6	100.8
98	100.2	100.1	100.2	99.8	99.7	99.8
97	99.3	99.2	99.3	98.9	98.8	98.9
96	98.5	98.4	98.5	98	97.9	98
95	97.7	97.6	97.7	97.1	97	97.2
94	96.9	96.7	96.9	96.2	96.1	96.3
93	96.1	95.9	96.1	95.4	95.2	95.5
92	95.4	95.2	95.4	94.6	94.3	94.7
91	94.6	94.4	94.7	93.7	93.5	93.9
90	94	93.7	94	92.9	92.7	93.1
89	93.3	93	93.4	92.1	91.9	92.3
88	92.6	92.3	92.7	91.4	91.1	91.6
87	92	91.6	92.1	90.6	90.3	90.8
86	91.4	90.9	91.6	89.9	89.6	90.1
85	90.8	90.3	91	89.1	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	87.1	86.8	87.3
81	88.8	88	89.2	86.4	86.1	86.7
80	88.4	87.4	88.8	85.8	85.4	86.1
79	88	86.9	88.4	85.2	84.8	85.5
78	87.5	86.4	88.1	84.6	84.2	85
77	87.1	85.8	87.8	84.1	83.6	84.5
76	86.8	85.3	87.5	83.5	83	84
75	86.4	84.8	87.2	83	82.5	83.5
74	86	84.3	86.9	82.5	81.9	83
73	85.6	83.8	86.6	82	81.4	82.6
72	85.3	83.3	86.4	81.6	80.9	82.2
71	84.9	82.9	86.1	81.1	80.4	81.8
70	84.6	82.4	85.9	80.7	80	81.4
69	84.2	81.9	85.7	80.3	79.5	81.1
68	83.9	81.5	85.5	79.9	79.1	80.7
67	83.6	81	85.3	79.6	78.7	80.4
66	83.3	80.6	85.1	79.2	78.3	80.1
65	82.9	80.2	84.9	78.9	77.9	79.8
64	82.6	79.8	84.7	78.6	77.5	79.6
63	82.3	79.4	84.5	78.3	77.2	79.3
62	82.1	79	84.3	78	76.8	79.1
61	81.8	78.7	84.2	77.7	76.5	78.8
60	81.5	78.3	84	77.4	76.2	78.6
59	81.3	78	83.9	77.2	75.9	78.4
58	81.1	77.7	83.7	76.9	75.6	78.2
57	80.9	77.4	83.6	76.7	75.4	78
56	80.7	77.2	83.5	76.5	75.1	77.9
55	80.4	76.9	83.4	76.3	74.9	77.7
54	80.2	76.6	83.3	76.1	74.6	77.5
53	80.1	76.4	83.2	75.9	74.4	77.4
52	79.9	76.2	83.1	75.7	74.2	77.2
51	79.7	75.9	82.9	75.5	74	77.1
50	79.5	75.7	82.9	75.4	73.8	77
49	79.4	75.5	82.8	75.2	73.7	76.8
48	79.2	75.3	82.7	75.1	73.5	76.7
47	79.1	75.1	82.6	75	73.3	76.6
46	78.9	74.9	82.5	74.8	73.2	76.5
45	78.8	74.8	82.4	74.7	73.1	76.4
44	78.7	74.6	82.3	74.6	72.9	76.3
43	78.5	74.4	82.3	74.5	72.8	76.2
42	78.4	74.3	82.2	74.4	72.7	76.1
41	78.3	74.1	82.2	74.3	72.6	76.1
40	78.2	74	82.1	74.2	72.5	76
39	78.1	73.9	82	74.1	72.4	75.9
38	78	73.7	82	74	72.3	75.8
37	77.9	73.6	81.9	73.9	72.2	75.8
36	77.8	73.5	81.9	73.9	72.1	75.7
35	77.7	73.4	81.9	73.8	72	75.6
34	77.6	73.3	81.8	73.7	71.9	75.6
33	77.6	73.2	81.8	73.6	71.8	75.5
32	77.5	73.1	81.7	73.6	71.8	75.4
31	77.4	73	81.7	73.5	71.7	75.4
30	77.4	72.9	81.7	73.4	71.6	75.3
29	77.3	72.8	81.7	73.3	71.5	75.3
28	77.3	72.7	81.6	73.3	71.4	75.2
27	77.2	72.7	81.6	73.2	71.3	75.2
26	77.2	72.6	81.6	73.1	71.3	75.1
25	77.1	72.6	81.6	73.1	71.2	75.1
24	77.1	72.5	81.6	73	71.1	75
23	77.1	72.5	81.5	72.9	71	75
22	77	72.4	81.5	72.9	70.9	74.9
21	77	72.4	81.5	72.8	70.8	74.9
20	77	72.3	81.5	72.7	70.7	74.8
19	76.9	72.3	81.5	72.7	70.6	74.8
18	76.9	72.2	81.4	72.6	70.6	74.8
17	76.9	72.2	81.4	72.5	70.5	74.7
16	76.9	72.2	81.4	72.5	70.4	74.7
15	76.8	72.2	81.4	72.5	70.4	74.7
14	76.8	72.2	81.4	72.4	70.3	74.6
13	76.8	72.1	81.4	72.4	70.3	74.6
12	76.8	72.1	81.4	72.3	70.3	74.6
11	76.8	72.1	81.4	72.3	70.2	74.5
10	76.8	72.1	81.4	72.3	70.2	74.5
9	76.8	72.1	81.4	72.3	70.1	74.5
8	76.8	72.1	81.3	72.2	70.1	74.5
7	76.8	72.1	81.3	72.2	70	74.5
6	76.8	72.1	81.3	72.1	70	74.4
5	76.8	72.1	81.3	72.1	69.9	74.4
4	76.7	72.1	81.3	72	69.8	74.3
3	76.7	72.1	81.3	71.8	69.6	74.2
2	76.7	72	81.3	71.7	69.5	74
1	76.7	72	81.3	71.4	69.2	73.7
0	76.5	71.8	81.1	68.1	65.7	70.6

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 73.4 in Pakistan, rising to 82.9 and 78.9 at 65, and to 88.4 and 85.8 at 80 — higher than the 76.5 and 68.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Lithuania

Male

Female

Pakistan

Male

Female

1x

Age	Survival probability
	Lithuania			Pakistan
	Average	Male	Female	Average	Male	Female
100	0.83%	0.39%	1.21%	0.08%	0.04%	0.13%
99	1.32%	0.62%	1.92%	0.13%	0.07%	0.22%
98	2.01%	0.95%	2.92%	0.23%	0.12%	0.37%
97	2.95%	1.42%	4.28%	0.38%	0.2%	0.61%
96	4.19%	2.04%	6.06%	0.62%	0.33%	0.96%
95	5.75%	2.85%	8.27%	0.95%	0.54%	1.46%
94	7.68%	3.93%	11%	1.43%	0.84%	2.14%
93	10%	5.28%	14.2%	2.07%	1.27%	3.03%
92	12.6%	6.79%	17.7%	2.92%	1.86%	4.16%
91	15.4%	8.41%	21.6%	3.99%	2.65%	5.55%
90	18.6%	10.4%	25.8%	5.31%	3.65%	7.22%
89	21.9%	12.6%	30.1%	6.9%	4.88%	9.2%
88	25.3%	14.8%	34.6%	8.76%	6.34%	11.5%
87	28.8%	17.3%	39.2%	10.9%	8.05%	14.1%
86	32.4%	19.9%	43.6%	13.3%	9.99%	17%
85	35.8%	22.5%	47.9%	15.9%	12.2%	20.1%
84	39.2%	25.1%	51.9%	18.8%	14.6%	23.5%
83	42.4%	27.8%	55.7%	21.9%	17.1%	27%
82	45.4%	30.5%	59.1%	25.1%	19.9%	30.7%
81	48.3%	33.2%	62.3%	28.3%	22.8%	34.3%
80	51.1%	35.8%	65.3%	31.7%	25.8%	38%
79	53.6%	38.4%	67.9%	35%	28.9%	41.6%
78	56%	40.9%	70.3%	38.3%	32%	45.1%
77	58.3%	43.5%	72.5%	41.6%	35.1%	48.5%
76	60.6%	46.1%	74.5%	44.8%	38.2%	51.7%
75	62.7%	48.6%	76.3%	47.8%	41.3%	54.8%
74	64.7%	51.1%	78.1%	50.8%	44.3%	57.8%
73	66.7%	53.5%	79.6%	53.6%	47.2%	60.6%
72	68.6%	55.9%	81.1%	56.4%	50%	63.2%
71	70.4%	58.2%	82.4%	58.9%	52.7%	65.6%
70	72.1%	60.5%	83.6%	61.4%	55.3%	67.8%
69	73.7%	62.7%	84.8%	63.7%	57.8%	69.9%
68	75.3%	64.9%	85.9%	65.8%	60.1%	71.8%
67	76.8%	67%	86.9%	67.8%	62.4%	73.6%
66	78.3%	69.1%	87.9%	69.7%	64.5%	75.2%
65	79.8%	71.1%	88.8%	71.4%	66.4%	76.7%
64	81.1%	73%	89.6%	73%	68.3%	78.1%
63	82.3%	74.8%	90.3%	74.6%	70.1%	79.3%
62	83.5%	76.4%	91%	76%	71.7%	80.4%
61	84.6%	78%	91.7%	77.3%	73.3%	81.5%
60	85.7%	79.5%	92.3%	78.5%	74.7%	82.5%
59	86.6%	80.8%	92.8%	79.6%	76%	83.4%
58	87.5%	82.1%	93.3%	80.6%	77.3%	84.2%
57	88.3%	83.2%	93.7%	81.6%	78.5%	84.9%
56	89%	84.4%	94.1%	82.5%	79.5%	85.6%
55	89.8%	85.4%	94.5%	83.3%	80.5%	86.3%
54	90.5%	86.4%	94.9%	84.1%	81.4%	86.9%
53	91.1%	87.4%	95.3%	84.8%	82.3%	87.4%
52	91.7%	88.2%	95.6%	85.4%	83%	87.9%
51	92.3%	89%	95.9%	86%	83.8%	88.4%
50	92.8%	89.7%	96.2%	86.6%	84.4%	88.9%
49	93.3%	90.4%	96.5%	87.1%	85%	89.3%
48	93.7%	91.1%	96.7%	87.5%	85.6%	89.6%
47	94.2%	91.8%	97%	88%	86.1%	90%
46	94.6%	92.3%	97.2%	88.4%	86.6%	90.3%
45	95%	92.9%	97.4%	88.7%	87%	90.6%
44	95.4%	93.4%	97.6%	89.1%	87.4%	90.9%
43	95.7%	93.9%	97.8%	89.4%	87.8%	91.1%
42	96%	94.3%	97.9%	89.7%	88.1%	91.4%
41	96.3%	94.8%	98%	89.9%	88.4%	91.6%
40	96.6%	95.2%	98.2%	90.2%	88.7%	91.8%
39	96.9%	95.6%	98.3%	90.4%	89%	92%
38	97.1%	96%	98.4%	90.6%	89.2%	92.1%
37	97.4%	96.3%	98.5%	90.8%	89.5%	92.3%
36	97.6%	96.6%	98.6%	91%	89.7%	92.5%
35	97.8%	96.9%	98.7%	91.2%	89.9%	92.6%
34	97.9%	97.1%	98.8%	91.4%	90.1%	92.7%
33	98.1%	97.4%	98.9%	91.6%	90.3%	92.9%
32	98.3%	97.6%	99%	91.7%	90.5%	93%
31	98.4%	97.8%	99%	91.9%	90.7%	93.1%
30	98.5%	98%	99.1%	92%	90.9%	93.2%
29	98.6%	98.2%	99.1%	92.2%	91%	93.4%
28	98.7%	98.3%	99.2%	92.3%	91.2%	93.5%
27	98.8%	98.5%	99.2%	92.4%	91.4%	93.6%
26	98.9%	98.6%	99.2%	92.6%	91.5%	93.7%
25	99%	98.7%	99.3%	92.7%	91.7%	93.8%
24	99.1%	98.8%	99.3%	92.8%	91.9%	93.9%
23	99.1%	98.9%	99.3%	93%	92.1%	93.9%
22	99.2%	99%	99.4%	93.1%	92.2%	94%
21	99.2%	99.1%	99.4%	93.2%	92.4%	94.1%
20	99.3%	99.2%	99.4%	93.4%	92.6%	94.2%
19	99.4%	99.3%	99.5%	93.5%	92.7%	94.3%
18	99.4%	99.4%	99.5%	93.6%	92.9%	94.3%
17	99.5%	99.4%	99.5%	93.7%	93%	94.4%
16	99.5%	99.4%	99.5%	93.7%	93.1%	94.4%
15	99.5%	99.5%	99.5%	93.8%	93.2%	94.5%
14	99.5%	99.5%	99.6%	93.9%	93.3%	94.5%
13	99.6%	99.5%	99.6%	93.9%	93.3%	94.6%
12	99.6%	99.6%	99.6%	94%	93.4%	94.6%
11	99.6%	99.6%	99.6%	94%	93.5%	94.6%
10	99.6%	99.6%	99.6%	94.1%	93.5%	94.7%
9	99.6%	99.6%	99.6%	94.1%	93.6%	94.7%
8	99.6%	99.6%	99.6%	94.2%	93.6%	94.7%
7	99.6%	99.6%	99.6%	94.2%	93.7%	94.8%
6	99.6%	99.6%	99.7%	94.3%	93.8%	94.8%
5	99.6%	99.6%	99.7%	94.4%	93.9%	94.9%
4	99.7%	99.6%	99.7%	94.5%	94.1%	95%
3	99.7%	99.7%	99.7%	94.7%	94.3%	95.2%
2	99.7%	99.7%	99.7%	95%	94.6%	95.4%
1	99.7%	99.7%	99.7%	95.3%	94.9%	95.8%

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 78.5% in Pakistan are expected to live past 60, 72.1% and 61.4% past 70, 51.1% and 31.7% past 80, and only 18.6% and 5.31% 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

Pakistan

Male

Female

1x

Age	Probability of dying
	Lithuania			Pakistan
	Average	Male	Female	Average	Male	Female
100	39.3%	39.3%	39.3%	46%	47.6%	45.4%
99	36.9%	37.2%	36.8%	43.8%	45.7%	43%
98	34.4%	35%	34.3%	41.9%	43.7%	41%
97	32%	32.8%	31.8%	39.8%	41.7%	38.9%
96	29.6%	30.6%	29.3%	37.7%	39.8%	36.6%
95	27.1%	28.5%	26.8%	35.5%	37.9%	34.2%
94	25.2%	27.3%	24.6%	33.2%	35.9%	31.7%
93	23.2%	25.7%	22.5%	31%	33.9%	29.4%
92	20.7%	22.1%	20.2%	28.9%	31.8%	27.1%
91	18.3%	19.3%	18%	26.9%	29.6%	25.1%
90	16.8%	19.1%	16.1%	24.9%	27.4%	23.2%
89	15.2%	17.3%	14.5%	23%	25.2%	21.5%
88	13.5%	15.1%	13%	21.3%	23.1%	19.9%
87	12.3%	14.4%	11.6%	19.6%	21.2%	18.4%
86	11%	13.1%	10.2%	18.1%	19.4%	17%
85	9.6%	11.4%	8.93%	16.6%	17.9%	15.7%
84	8.47%	10.4%	7.75%	15.3%	16.4%	14.3%
83	7.54%	9.67%	6.7%	14%	15.1%	13.1%
82	6.69%	8.81%	5.82%	12.8%	13.9%	11.9%
81	6.01%	8.11%	5.12%	11.6%	12.7%	10.7%
80	5.41%	7.44%	4.51%	10.5%	11.7%	9.64%
79	4.77%	6.65%	3.91%	9.54%	10.7%	8.66%
78	4.3%	6.23%	3.39%	8.64%	9.71%	7.77%
77	3.98%	6%	2.98%	7.82%	8.86%	6.98%
76	3.69%	5.61%	2.7%	7.08%	8.08%	6.28%
75	3.4%	5.16%	2.45%	6.43%	7.38%	5.65%
74	3.14%	4.82%	2.19%	5.84%	6.74%	5.09%
73	2.93%	4.53%	1.99%	5.3%	6.16%	4.58%
72	2.74%	4.26%	1.82%	4.82%	5.63%	4.12%
71	2.54%	4.02%	1.6%	4.37%	5.14%	3.7%
70	2.35%	3.77%	1.44%	3.97%	4.7%	3.32%
69	2.23%	3.51%	1.37%	3.6%	4.29%	2.98%
68	2.11%	3.33%	1.26%	3.26%	3.91%	2.67%
67	2.01%	3.19%	1.16%	2.96%	3.57%	2.4%
66	1.92%	3.03%	1.11%	2.68%	3.27%	2.15%
65	1.79%	2.81%	1.01%	2.44%	2.99%	1.93%
64	1.64%	2.58%	0.9%	2.22%	2.74%	1.74%
63	1.52%	2.36%	0.83%	2.02%	2.51%	1.57%
62	1.41%	2.17%	0.78%	1.85%	2.3%	1.42%
61	1.31%	2.01%	0.71%	1.69%	2.11%	1.29%
60	1.2%	1.86%	0.63%	1.54%	1.93%	1.17%
59	1.09%	1.69%	0.58%	1.41%	1.77%	1.07%
58	0.98%	1.48%	0.54%	1.29%	1.62%	0.97%
57	0.91%	1.39%	0.47%	1.18%	1.48%	0.89%
56	0.86%	1.34%	0.42%	1.08%	1.35%	0.82%
55	0.83%	1.26%	0.42%	0.99%	1.23%	0.75%
54	0.78%	1.16%	0.42%	0.9%	1.12%	0.69%
53	0.7%	1.06%	0.36%	0.83%	1.02%	0.63%
52	0.65%	0.97%	0.34%	0.76%	0.93%	0.58%
51	0.61%	0.88%	0.34%	0.69%	0.85%	0.54%
50	0.56%	0.83%	0.29%	0.64%	0.78%	0.5%
49	0.53%	0.78%	0.27%	0.59%	0.71%	0.46%
48	0.51%	0.74%	0.27%	0.54%	0.65%	0.42%
47	0.48%	0.69%	0.25%	0.49%	0.6%	0.39%
46	0.44%	0.64%	0.23%	0.45%	0.54%	0.35%
45	0.41%	0.6%	0.2%	0.41%	0.5%	0.33%
44	0.38%	0.54%	0.2%	0.38%	0.46%	0.3%
43	0.35%	0.5%	0.19%	0.35%	0.42%	0.27%
42	0.33%	0.49%	0.16%	0.32%	0.38%	0.25%
41	0.31%	0.47%	0.13%	0.3%	0.35%	0.24%
40	0.28%	0.42%	0.13%	0.27%	0.33%	0.22%
39	0.28%	0.41%	0.13%	0.26%	0.31%	0.2%
38	0.27%	0.4%	0.12%	0.24%	0.29%	0.19%
37	0.23%	0.33%	0.11%	0.23%	0.27%	0.18%
36	0.21%	0.3%	0.1%	0.21%	0.25%	0.17%
35	0.2%	0.29%	0.09%	0.2%	0.24%	0.16%
34	0.19%	0.28%	0.09%	0.19%	0.23%	0.15%
33	0.18%	0.26%	0.09%	0.18%	0.22%	0.14%
32	0.15%	0.23%	0.06%	0.17%	0.21%	0.14%
31	0.13%	0.2%	0.06%	0.17%	0.2%	0.13%
30	0.13%	0.19%	0.06%	0.16%	0.2%	0.12%
29	0.13%	0.2%	0.05%	0.16%	0.19%	0.12%
28	0.11%	0.18%	0.04%	0.15%	0.19%	0.11%
27	0.09%	0.14%	0.04%	0.15%	0.19%	0.11%
26	0.08%	0.13%	0.04%	0.15%	0.19%	0.11%
25	0.08%	0.12%	0.03%	0.15%	0.19%	0.1%
24	0.07%	0.11%	0.03%	0.15%	0.19%	0.1%
23	0.07%	0.1%	0.03%	0.14%	0.19%	0.1%
22	0.06%	0.09%	0.03%	0.14%	0.19%	0.09%
21	0.06%	0.08%	0.03%	0.14%	0.18%	0.09%
20	0.06%	0.08%	0.03%	0.13%	0.17%	0.08%
19	0.06%	0.09%	0.03%	0.12%	0.16%	0.08%
18	0.05%	0.07%	0.03%	0.11%	0.15%	0.07%
17	0.03%	0.04%	0.02%	0.1%	0.13%	0.06%
16	0.03%	0.05%	0.02%	0.09%	0.11%	0.06%
15	0.03%	0.04%	0.02%	0.08%	0.1%	0.05%
14	0.03%	0.03%	0.02%	0.07%	0.09%	0.05%
13	0.02%	0.02%	0.02%	0.06%	0.08%	0.04%
12	0.01%	0.02%	0.01%	0.05%	0.07%	0.04%
11	0.01%	0.02%	0.008%	0.05%	0.07%	0.04%
10	0.01%	0.01%	0.01%	0.05%	0.07%	0.03%
9	0.01%	0.009%	0.01%	0.05%	0.07%	0.03%
8	0.01%	0.01%	0.01%	0.06%	0.07%	0.04%
7	0.01%	0.01%	0.01%	0.06%	0.09%	0.04%
6	0.01%	0.009%	0.01%	0.08%	0.1%	0.05%
5	0.009%	0.009%	0.01%	0.1%	0.13%	0.07%
4	0.01%	0.01%	0.01%	0.13%	0.16%	0.1%
3	0.01%	0.01%	0.01%	0.19%	0.21%	0.16%
2	0.01%	0.01%	0.01%	0.27%	0.28%	0.26%
1	0.03%	0.02%	0.03%	0.4%	0.37%	0.42%
0	0.29%	0.3%	0.28%	4.65%	5.09%	4.19%

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 4.65% in Pakistan, 0.13% vs 0.16% at age 30, 1.2% vs 1.54% at 60, and 5.41% vs 10.5% at 80.

Death rate by age in Lithuania vs Pakistan

Chart Table

Lithuania

Male

Female

Pakistan

Male

Female

1x

Age	Death rate
	Lithuania			Pakistan
	Total	Male	Female	Total	Male	Female
100	174.6	56.5	274.1	0	0	0
99	485	230.3	706	58.8	30.2	94.6
98	690	333	1,000	96.7	51.2	153
97	945	465	1,362	152.8	83.9	237.3
96	1,240	624	1,777	231.9	132.9	352
95	1,559	812	2,213	338	203.5	500
94	1,933	1,074	2,695	475	301	680
93	2,322	1,356	3,186	643	431	890
92	2,605	1,503	3,588	843	593	1,128
91	2,822	1,627	3,887	1,071	785	1,390
90	3,119	1,989	4,148	1,322	1,000	1,675
89	3,315	2,179	4,361	1,588	1,230	1,977
88	3,420	2,242	4,500	1,862	1,467	2,288
87	3,556	2,501	4,539	2,135	1,705	2,597
86	3,561	2,606	4,462	2,400	1,941	2,889
85	3,442	2,562	4,282	2,648	2,171	3,152
84	3,319	2,605	4,028	2,868	2,391	3,370
83	3,194	2,688	3,733	3,053	2,593	3,533
82	3,036	2,683	3,441	3,195	2,768	3,635
81	2,903	2,691	3,191	3,290	2,909	3,677
80	2,761	2,665	2,945	3,339	3,013	3,663
79	2,559	2,550	2,657	3,344	3,080	3,603
78	2,410	2,551	2,381	3,312	3,111	3,507
77	2,321	2,611	2,161	3,250	3,113	3,386
76	2,234	2,586	2,009	3,169	3,091	3,248
75	2,134	2,512	1,873	3,074	3,047	3,097
74	2,030	2,466	1,712	2,965	2,985	2,939
73	1,953	2,423	1,589	2,845	2,907	2,773
72	1,881	2,380	1,473	2,714	2,815	2,602
71	1,785	2,341	1,322	2,576	2,711	2,428
70	1,696	2,284	1,202	2,433	2,597	2,254
69	1,642	2,203	1,159	2,289	2,477	2,083
68	1,590	2,161	1,081	2,145	2,353	1,919
67	1,542	2,140	1,004	2,005	2,229	1,763
66	1,507	2,091	975	1,871	2,106	1,617
65	1,429	2,002	900	1,743	1,986	1,482
64	1,330	1,887	809	1,622	1,869	1,358
63	1,248	1,765	754	1,509	1,756	1,245
62	1,177	1,655	711	1,403	1,648	1,142
61	1,106	1,569	648	1,304	1,544	1,049
60	1,028	1,481	582	1,211	1,443	965
59	942	1,363	535	1,124	1,345	889
58	857	1,218	506	1,041	1,251	819
57	800	1,155	445	964	1,159	756
56	766	1,132	394	890	1,072	698
55	742	1,077	398	822	989	646
54	702	1,001	394	758	911	598
53	639	928	338	700	838	554
52	596	853	327	646	772	513
51	560	787	324	597	711	476
50	518	741	280.7	551	656	441
49	493	708	260	509	605	409
48	475	674	256.5	470	557	378
47	448	630	244.5	433	513	348
46	417	589	222.4	398	472	321
45	391	555	199.3	366	434	294.9
44	361	507	192	337	399	271.4
43	336	467	183.2	310	367	250.3
42	320	461	155.8	286.7	339	231.7
41	301	446	132.1	265.8	314	215.3
40	275.1	398	130.8	247.4	291.4	200.9
39	271.3	396	125	231.3	272	188.2
38	262.3	387	115.9	217.2	255.1	176.8
37	224.5	322	110.3	204.7	240.4	166.4
36	201.3	287.8	100.8	193.6	227.5	156.9
35	194	281.1	93.1	183.5	216.3	148.2
34	186.8	269.6	92.7	174.5	206.3	140.2
33	172.2	250.4	84.7	166.4	197.5	133
32	148.5	225.2	62.9	159.3	189.7	126.4
31	130.3	194.6	59.1	153	183	120.6
30	123.6	182.3	59.6	147.6	177.5	115.4
29	123.7	194.9	46.9	143.3	173.5	110.9
28	109.5	173.6	40.2	140.1	171.1	106.9
27	90.6	138.4	39.5	137.9	170.3	103.3
26	82.1	123.9	38.2	136.6	170.9	100
25	77	118.5	33.7	135.8	172.4	96.8
24	67.9	107	27.3	135	174	93.4
23	64.5	99.2	28.2	133.5	174.7	89.7
22	62.3	92.2	31.2	130.8	173.4	85.6
21	56.7	82.6	30	126.5	169.1	81
20	56.2	83.3	28.3	120	161.3	76
19	62.7	94.3	30	111.7	150	70.8
18	50.7	70.8	29.8	101.9	136.1	65.5
17	34.2	43.8	24.1	91.4	120.7	60.3
16	30.9	45.9	15.2	81	105.3	55.2
15	29.1	40.8	16.8	71.4	91.2	50.3
14	25	28.9	20.8	63	79.4	45.7
13	19.1	21.8	16.4	56.3	70.4	41.3
12	14.3	18.6	9.7	51.4	64.4	37.6
11	12.2	15.7	8.41	48.3	61.3	34.6
10	10.5	10.8	10.2	47.3	61.1	32.8
9	10.3	9.11	11.5	48.6	63.8	32.6
8	12	13.2	10.7	52.7	69.9	34.6
7	11.3	12	10.7	60.5	80.3	39.7
6	9.63	8.66	10.7	73.5	96.2	49.5
5	9.42	9.23	9.62	94.2	119.5	67.4
4	11.3	12.2	10.4	126.6	153	98.7
3	13.8	14.4	13.1	177	199.9	152.9
2	13.2	14.4	11.8	255.7	265	245.8
1	25.4	24.3	26.4	378	354	403
0	291.9	305	278.5	4,650	5,086	4,193

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 Pakistan. The median age of death is 80.4 in Lithuania and 74.3 in Pakistan, 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 Pakistan more than their death rates.

Life expectancy in other countries

+ -

1x