Life Expectancy in Hungary vs Maldives (1950-2026)

Life expectancy by current age

Chart Table

Hungary

Male

Female

Maldives

Male

Female

1x

Current age, years	Total life expectancy, years
	Hungary			Maldives
	Average	Male	Female	Average	Male	Female
100	102.1	102	102.2	102.1	101.9	102.2
99	101.2	101.1	101.3	101.2	101	101.3
98	100.3	100.2	100.4	100.4	100.2	100.5
97	99.5	99.4	99.5	99.5	99.3	99.7
96	98.6	98.5	98.7	98.7	98.5	98.9
95	97.8	97.7	97.9	97.9	97.7	98.1
94	97	96.9	97.1	97.1	96.8	97.3
93	96.3	96.1	96.3	96.3	96.1	96.6
92	95.5	95.3	95.6	95.6	95.3	95.8
91	94.8	94.5	94.8	94.8	94.5	95.1
90	94	93.8	94.1	94.1	93.8	94.4
89	93.4	93.1	93.5	93.4	93	93.8
88	92.7	92.4	92.8	92.7	92.3	93.1
87	92.1	91.7	92.2	92.1	91.6	92.5
86	91.4	91	91.6	91.5	91	91.9
85	90.8	90.4	91	90.9	90.4	91.4
84	90.2	89.7	90.5	90.3	89.8	90.9
83	89.7	89.1	89.9	89.8	89.2	90.3
82	89.1	88.5	89.4	89.3	88.7	89.9
81	88.6	87.9	89	88.8	88.2	89.4
80	88.1	87.4	88.5	88.3	87.7	89
79	87.7	86.8	88.1	87.9	87.3	88.6
78	87.2	86.3	87.7	87.5	86.8	88.3
77	86.8	85.8	87.4	87.1	86.4	87.9
76	86.4	85.3	87	86.8	86	87.6
75	86	84.8	86.7	86.4	85.6	87.3
74	85.6	84.4	86.4	86.1	85.3	87
73	85.3	83.9	86.1	85.8	85	86.8
72	84.9	83.5	85.9	85.5	84.7	86.6
71	84.6	83	85.6	85.3	84.4	86.4
70	84.2	82.6	85.4	85.1	84.1	86.2
69	83.9	82.2	85.1	84.8	83.9	86
68	83.6	81.8	84.9	84.6	83.7	85.8
67	83.2	81.4	84.6	84.4	83.4	85.7
66	82.9	81	84.4	84.3	83.2	85.5
65	82.6	80.5	84.2	84.1	83.1	85.4
64	82.3	80.1	84	84	82.9	85.3
63	82	79.8	83.8	83.8	82.7	85.1
62	81.7	79.4	83.6	83.7	82.6	85
61	81.4	79.1	83.4	83.6	82.5	84.9
60	81.2	78.7	83.2	83.5	82.4	84.9
59	80.9	78.4	83	83.4	82.3	84.8
58	80.7	78.1	82.8	83.3	82.2	84.7
57	80.4	77.8	82.7	83.3	82.1	84.6
56	80.2	77.5	82.5	83.2	82	84.6
55	80	77.3	82.4	83.1	82	84.5
54	79.8	77.1	82.3	83.1	81.9	84.5
53	79.6	76.8	82.2	83	81.9	84.4
52	79.5	76.6	82	83	81.8	84.4
51	79.3	76.5	82	82.9	81.8	84.4
50	79.2	76.3	81.9	82.9	81.7	84.3
49	79.1	76.1	81.8	82.8	81.7	84.3
48	79	76	81.7	82.8	81.6	84.3
47	78.9	75.9	81.6	82.8	81.6	84.2
46	78.8	75.8	81.6	82.7	81.5	84.2
45	78.7	75.7	81.5	82.7	81.5	84.2
44	78.6	75.6	81.5	82.7	81.5	84.2
43	78.6	75.5	81.4	82.7	81.5	84.1
42	78.5	75.5	81.4	82.6	81.4	84.1
41	78.5	75.4	81.3	82.6	81.4	84.1
40	78.4	75.4	81.3	82.6	81.4	84.1
39	78.4	75.3	81.3	82.6	81.4	84.1
38	78.3	75.3	81.3	82.6	81.4	84
37	78.3	75.2	81.2	82.5	81.4	84
36	78.3	75.2	81.2	82.5	81.3	84
35	78.2	75.1	81.2	82.5	81.3	84
34	78.2	75.1	81.1	82.5	81.3	84
33	78.2	75.1	81.1	82.5	81.3	84
32	78.1	75	81.1	82.5	81.3	84
31	78.1	75	81.1	82.5	81.3	84
30	78.1	75	81.1	82.4	81.2	84
29	78.1	74.9	81.1	82.4	81.2	83.9
28	78	74.9	81	82.4	81.2	83.9
27	78	74.9	81	82.4	81.2	83.9
26	78	74.8	81	82.4	81.2	83.9
25	78	74.8	81	82.4	81.2	83.9
24	78	74.8	81	82.4	81.2	83.9
23	77.9	74.8	81	82.3	81.1	83.9
22	77.9	74.7	81	82.3	81.1	83.9
21	77.9	74.7	81	82.3	81.1	83.9
20	77.9	74.7	81	82.3	81.1	83.8
19	77.9	74.7	80.9	82.3	81.1	83.8
18	77.8	74.6	80.9	82.3	81	83.8
17	77.8	74.6	80.9	82.3	81	83.8
16	77.8	74.6	80.9	82.2	81	83.8
15	77.8	74.6	80.9	82.2	81	83.8
14	77.8	74.6	80.9	82.2	81	83.8
13	77.8	74.6	80.9	82.2	80.9	83.8
12	77.8	74.6	80.9	82.2	80.9	83.8
11	77.8	74.6	80.9	82.2	80.9	83.8
10	77.8	74.6	80.9	82.2	80.9	83.8
9	77.8	74.5	80.9	82.2	80.9	83.7
8	77.8	74.5	80.9	82.2	80.9	83.7
7	77.8	74.5	80.9	82.2	80.9	83.7
6	77.8	74.5	80.9	82.1	80.9	83.7
5	77.8	74.5	80.9	82.1	80.9	83.7
4	77.7	74.5	80.9	82.1	80.9	83.7
3	77.7	74.5	80.8	82.1	80.9	83.7
2	77.7	74.5	80.8	82.1	80.9	83.7
1	77.7	74.5	80.8	82.1	80.8	83.6
0	77.5	74.3	80.6	81.7	80.4	83.3

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 Hungary can expect to live to 78.1 years compared to 82.4 in Maldives, rising to 82.6 and 84.1 at 65, and to 88.1 and 88.3 at 80 — higher than the 77.5 and 81.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Hungary

Male

Female

Maldives

Male

Female

1x

Age	Survival probability
	Hungary			Maldives
	Average	Male	Female	Average	Male	Female
100	0.94%	0.51%	1.3%	1.34%	0.77%	2.09%
99	1.43%	0.79%	1.99%	2.02%	1.21%	3.08%
98	2.12%	1.18%	2.92%	2.94%	1.84%	4.4%
97	3.03%	1.71%	4.17%	4.16%	2.71%	6.08%
96	4.21%	2.42%	5.76%	5.72%	3.86%	8.16%
95	5.67%	3.31%	7.72%	7.63%	5.32%	10.7%
94	7.46%	4.44%	10.1%	9.94%	7.15%	13.6%
93	9.59%	5.84%	12.9%	12.6%	9.36%	16.9%
92	12%	7.51%	16%	15.8%	12%	20.6%
91	14.8%	9.39%	19.5%	19.2%	15.1%	24.6%
90	17.7%	11.5%	23.2%	23.1%	18.6%	28.8%
89	20.8%	13.8%	27.2%	27.2%	22.4%	33.3%
88	24.1%	16.3%	31.2%	31.5%	26.5%	37.9%
87	27.5%	18.9%	35.4%	36%	30.9%	42.5%
86	31%	21.7%	39.6%	40.5%	35.3%	47.1%
85	34.6%	24.6%	43.7%	45%	39.7%	51.5%
84	38.1%	27.6%	47.8%	49.4%	44.1%	55.8%
83	41.6%	30.7%	51.7%	53.6%	48.4%	59.9%
82	44.9%	33.7%	55.4%	57.6%	52.6%	63.8%
81	48.2%	36.8%	58.9%	61.4%	56.5%	67.4%
80	51.3%	39.9%	62.1%	65%	60.3%	70.6%
79	54.3%	42.9%	65%	68.4%	63.9%	73.6%
78	57%	45.7%	67.7%	71.4%	67.2%	76.4%
77	59.6%	48.6%	70.1%	74.3%	70.4%	78.8%
76	62.1%	51.3%	72.4%	76.8%	73.3%	81.1%
75	64.4%	53.9%	74.4%	79.2%	75.9%	83.1%
74	66.5%	56.4%	76.3%	81.3%	78.4%	84.9%
73	68.6%	58.9%	78%	83.2%	80.6%	86.5%
72	70.5%	61.2%	79.6%	85%	82.6%	87.9%
71	72.4%	63.5%	81.1%	86.5%	84.4%	89.2%
70	74.2%	65.8%	82.5%	87.9%	86%	90.3%
69	75.9%	67.9%	83.8%	89.2%	87.5%	91.3%
68	77.5%	70.1%	85%	90.3%	88.8%	92.2%
67	79.2%	72.1%	86.2%	91.3%	90%	92.9%
66	80.7%	74.1%	87.3%	92.2%	91.1%	93.6%
65	82.2%	76.1%	88.3%	93%	92%	94.3%
64	83.6%	78.1%	89.3%	93.7%	92.8%	94.8%
63	85%	79.9%	90.2%	94.3%	93.5%	95.3%
62	86.3%	81.6%	91%	94.8%	94.2%	95.8%
61	87.5%	83.2%	91.8%	95.3%	94.7%	96.1%
60	88.6%	84.8%	92.6%	95.7%	95.2%	96.5%
59	89.7%	86.2%	93.3%	96.1%	95.6%	96.8%
58	90.6%	87.5%	93.9%	96.4%	96%	97%
57	91.6%	88.8%	94.5%	96.7%	96.3%	97.3%
56	92.4%	89.9%	95%	96.9%	96.6%	97.5%
55	93.2%	91%	95.5%	97.2%	96.8%	97.7%
54	93.9%	91.9%	96%	97.4%	97%	97.8%
53	94.5%	92.8%	96.4%	97.5%	97.2%	98%
52	95.1%	93.5%	96.7%	97.7%	97.4%	98.1%
51	95.6%	94.2%	97%	97.8%	97.5%	98.2%
50	96%	94.8%	97.3%	97.9%	97.7%	98.3%
49	96.4%	95.3%	97.6%	98%	97.8%	98.4%
48	96.8%	95.8%	97.8%	98.1%	97.9%	98.4%
47	97.1%	96.2%	98%	98.2%	98.1%	98.5%
46	97.3%	96.5%	98.1%	98.3%	98.2%	98.6%
45	97.5%	96.8%	98.3%	98.4%	98.3%	98.6%
44	97.7%	97.1%	98.4%	98.5%	98.3%	98.7%
43	97.9%	97.3%	98.5%	98.6%	98.4%	98.8%
42	98%	97.5%	98.6%	98.6%	98.5%	98.8%
41	98.2%	97.7%	98.7%	98.7%	98.5%	98.9%
40	98.3%	97.8%	98.8%	98.7%	98.5%	98.9%
39	98.4%	98%	98.9%	98.7%	98.6%	99%
38	98.5%	98.1%	99%	98.8%	98.6%	99%
37	98.6%	98.2%	99%	98.8%	98.7%	99%
36	98.7%	98.3%	99.1%	98.8%	98.7%	99%
35	98.8%	98.4%	99.1%	98.9%	98.7%	99.1%
34	98.8%	98.5%	99.2%	98.9%	98.8%	99.1%
33	98.9%	98.6%	99.2%	98.9%	98.8%	99.1%
32	99%	98.7%	99.3%	99%	98.8%	99.1%
31	99%	98.8%	99.3%	99%	98.8%	99.2%
30	99.1%	98.8%	99.3%	99%	98.9%	99.2%
29	99.1%	98.9%	99.4%	99%	98.9%	99.2%
28	99.2%	99%	99.4%	99.1%	98.9%	99.2%
27	99.2%	99%	99.4%	99.1%	99%	99.2%
26	99.3%	99.1%	99.4%	99.1%	99%	99.3%
25	99.3%	99.1%	99.4%	99.1%	99%	99.3%
24	99.3%	99.2%	99.5%	99.2%	99%	99.3%
23	99.4%	99.2%	99.5%	99.2%	99.1%	99.3%
22	99.4%	99.3%	99.5%	99.2%	99.1%	99.3%
21	99.4%	99.3%	99.5%	99.2%	99.1%	99.3%
20	99.5%	99.4%	99.5%	99.3%	99.2%	99.4%
19	99.5%	99.4%	99.6%	99.3%	99.2%	99.4%
18	99.5%	99.5%	99.6%	99.3%	99.2%	99.4%
17	99.5%	99.5%	99.6%	99.3%	99.3%	99.4%
16	99.6%	99.5%	99.6%	99.4%	99.3%	99.4%
15	99.6%	99.5%	99.6%	99.4%	99.3%	99.5%
14	99.6%	99.6%	99.6%	99.4%	99.4%	99.5%
13	99.6%	99.6%	99.6%	99.4%	99.4%	99.5%
12	99.6%	99.6%	99.6%	99.4%	99.4%	99.5%
11	99.6%	99.6%	99.6%	99.4%	99.4%	99.5%
10	99.6%	99.6%	99.7%	99.5%	99.4%	99.5%
9	99.6%	99.6%	99.7%	99.5%	99.4%	99.5%
8	99.6%	99.6%	99.7%	99.5%	99.4%	99.5%
7	99.7%	99.6%	99.7%	99.5%	99.4%	99.5%
6	99.7%	99.6%	99.7%	99.5%	99.4%	99.5%
5	99.7%	99.6%	99.7%	99.5%	99.4%	99.6%
4	99.7%	99.7%	99.7%	99.5%	99.5%	99.6%
3	99.7%	99.7%	99.7%	99.5%	99.5%	99.6%
2	99.7%	99.7%	99.7%	99.6%	99.5%	99.6%
1	99.7%	99.7%	99.7%	99.6%	99.5%	99.6%

This chart shows the odds of living to each age from birth. 88.6% of newborns in Hungary and 95.7% in Maldives are expected to live past 60, 74.2% and 87.9% past 70, 51.3% and 65% past 80, and only 17.7% and 23.1% past 90.

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

Odds of dying at each age

Chart Table

Hungary

Male

Female

Maldives

Male

Female

1x

Age	Probability of dying
	Hungary			Maldives
	Average	Male	Female	Average	Male	Female
100	36.8%	37.4%	36.6%	35.6%	38.6%	34.4%
99	34.6%	35.3%	34.4%	33.5%	36.4%	32.2%
98	32.3%	33.2%	32.1%	31.4%	34.2%	29.9%
97	30.2%	31.2%	29.9%	29.3%	32%	27.7%
96	28%	29.2%	27.6%	27.2%	29.8%	25.5%
95	25.8%	26.9%	25.4%	25.1%	27.6%	23.4%
94	24%	25.4%	23.5%	23.2%	25.5%	21.5%
93	22.2%	24.1%	21.6%	21.4%	23.6%	19.6%
92	20.3%	22.1%	19.7%	19.7%	22%	17.9%
91	18.4%	20%	17.8%	18.2%	20.4%	16.3%
90	16.7%	18.3%	16.1%	16.6%	18.8%	14.8%
89	15%	16.7%	14.4%	15.1%	17.1%	13.4%
88	13.6%	15.3%	12.9%	13.7%	15.6%	12.1%
87	12.4%	14%	11.8%	12.4%	14%	10.9%
86	11.3%	12.8%	10.6%	11.1%	12.6%	9.74%
85	10.2%	11.8%	9.49%	9.95%	11.2%	8.69%
84	9.27%	10.9%	8.51%	8.88%	9.96%	7.72%
83	8.38%	9.98%	7.59%	7.89%	8.85%	6.84%
82	7.51%	9.13%	6.67%	7.01%	7.88%	6.03%
81	6.77%	8.41%	5.89%	6.22%	7.02%	5.3%
80	6.09%	7.68%	5.2%	5.5%	6.26%	4.65%
79	5.4%	6.91%	4.53%	4.87%	5.6%	4.08%
78	4.84%	6.33%	3.95%	4.31%	5%	3.57%
77	4.38%	5.85%	3.48%	3.8%	4.45%	3.14%
76	3.94%	5.31%	3.09%	3.36%	3.95%	2.75%
75	3.55%	4.81%	2.75%	2.96%	3.5%	2.41%
74	3.24%	4.45%	2.45%	2.62%	3.1%	2.12%
73	2.99%	4.15%	2.21%	2.31%	2.74%	1.86%
72	2.77%	3.88%	2.01%	2.04%	2.42%	1.62%
71	2.58%	3.63%	1.82%	1.8%	2.14%	1.42%
70	2.4%	3.4%	1.67%	1.59%	1.9%	1.24%
69	2.25%	3.19%	1.56%	1.4%	1.69%	1.08%
68	2.14%	3.02%	1.47%	1.24%	1.5%	0.96%
67	2.02%	2.87%	1.37%	1.1%	1.33%	0.85%
66	1.88%	2.71%	1.23%	0.97%	1.17%	0.75%
65	1.81%	2.63%	1.14%	0.85%	1.02%	0.66%
64	1.75%	2.53%	1.09%	0.74%	0.88%	0.58%
63	1.61%	2.29%	1.02%	0.65%	0.77%	0.51%
62	1.47%	2.05%	0.94%	0.57%	0.67%	0.45%
61	1.38%	1.94%	0.87%	0.5%	0.58%	0.4%
60	1.28%	1.8%	0.8%	0.44%	0.5%	0.35%
59	1.18%	1.65%	0.74%	0.38%	0.44%	0.31%
58	1.1%	1.54%	0.68%	0.33%	0.38%	0.28%
57	1.01%	1.42%	0.62%	0.29%	0.33%	0.24%
56	0.92%	1.28%	0.56%	0.26%	0.29%	0.21%
55	0.83%	1.14%	0.51%	0.23%	0.25%	0.19%
54	0.74%	1.02%	0.47%	0.2%	0.22%	0.17%
53	0.66%	0.91%	0.42%	0.17%	0.19%	0.14%
52	0.59%	0.81%	0.36%	0.15%	0.16%	0.12%
51	0.52%	0.72%	0.32%	0.13%	0.15%	0.1%
50	0.47%	0.64%	0.3%	0.13%	0.15%	0.09%
49	0.41%	0.56%	0.26%	0.12%	0.14%	0.08%
48	0.35%	0.48%	0.22%	0.12%	0.14%	0.08%
47	0.31%	0.41%	0.2%	0.11%	0.12%	0.07%
46	0.27%	0.35%	0.18%	0.1%	0.11%	0.07%
45	0.23%	0.3%	0.15%	0.08%	0.09%	0.07%
44	0.19%	0.26%	0.13%	0.07%	0.08%	0.06%
43	0.17%	0.22%	0.12%	0.06%	0.06%	0.06%
42	0.16%	0.2%	0.11%	0.05%	0.05%	0.05%
41	0.14%	0.18%	0.09%	0.05%	0.05%	0.05%
40	0.12%	0.16%	0.08%	0.04%	0.04%	0.04%
39	0.11%	0.14%	0.08%	0.04%	0.04%	0.04%
38	0.1%	0.13%	0.07%	0.04%	0.04%	0.04%
37	0.09%	0.12%	0.06%	0.03%	0.04%	0.03%
36	0.09%	0.12%	0.06%	0.03%	0.03%	0.03%
35	0.08%	0.11%	0.06%	0.03%	0.03%	0.02%
34	0.07%	0.1%	0.05%	0.03%	0.03%	0.02%
33	0.07%	0.09%	0.04%	0.03%	0.03%	0.02%
32	0.07%	0.09%	0.04%	0.03%	0.03%	0.02%
31	0.06%	0.08%	0.04%	0.03%	0.03%	0.02%
30	0.05%	0.07%	0.03%	0.03%	0.03%	0.02%
29	0.05%	0.07%	0.03%	0.03%	0.03%	0.02%
28	0.05%	0.07%	0.03%	0.03%	0.03%	0.02%
27	0.04%	0.06%	0.02%	0.03%	0.03%	0.02%
26	0.04%	0.06%	0.02%	0.03%	0.03%	0.02%
25	0.04%	0.05%	0.02%	0.02%	0.03%	0.02%
24	0.04%	0.05%	0.02%	0.02%	0.03%	0.02%
23	0.03%	0.05%	0.02%	0.02%	0.03%	0.02%
22	0.03%	0.04%	0.02%	0.02%	0.03%	0.02%
21	0.03%	0.04%	0.02%	0.02%	0.03%	0.02%
20	0.03%	0.05%	0.02%	0.03%	0.03%	0.02%
19	0.03%	0.05%	0.02%	0.03%	0.04%	0.02%
18	0.03%	0.04%	0.02%	0.03%	0.04%	0.02%
17	0.02%	0.03%	0.01%	0.03%	0.04%	0.02%
16	0.02%	0.02%	0.01%	0.03%	0.03%	0.02%
15	0.01%	0.02%	0.01%	0.02%	0.03%	0.01%
14	0.01%	0.02%	0.01%	0.02%	0.03%	0.01%
13	0.01%	0.01%	0.008%	0.02%	0.02%	0.01%
12	0.009%	0.01%	0.006%	0.01%	0.02%	0.009%
11	0.007%	0.008%	0.005%	0.01%	0.01%	0.008%
10	0.008%	0.009%	0.008%	0.009%	0.01%	0.009%
9	0.01%	0.01%	0.009%	0.008%	0.008%	0.009%
8	0.008%	0.01%	0.006%	0.008%	0.006%	0.01%
7	0.007%	0.007%	0.007%	0.009%	0.006%	0.01%
6	0.007%	0.006%	0.008%	0.01%	0.006%	0.01%
5	0.008%	0.009%	0.007%	0.01%	0.008%	0.02%
4	0.01%	0.01%	0.008%	0.01%	0.01%	0.02%
3	0.01%	0.01%	0.01%	0.02%	0.02%	0.02%
2	0.02%	0.02%	0.01%	0.02%	0.02%	0.02%
1	0.02%	0.02%	0.03%	0.03%	0.04%	0.02%
0	0.27%	0.29%	0.25%	0.41%	0.47%	0.36%

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

The annual chance of dying is 0.27% in the birth year in Hungary and 0.41% in Maldives, 0.05% vs 0.03% at age 30, 1.28% vs 0.44% at 60, and 6.09% vs 5.5% at 80.

Death rate by age in Hungary vs Maldives

Chart Table

Hungary

Male

Female

Maldives

Male

Female

1x

Age	Death rate
	Hungary			Maldives
	Total	Male	Female	Total	Male	Female
100	217.8	97.2	320	325	138.2	585
99	495	277.8	683	677	441	994
98	684	391	938	924	629	1,317
97	915	535	1,245	1,219	866	1,683
96	1,180	706	1,592	1,555	1,150	2,080
95	1,464	892	1,963	1,918	1,469	2,493
94	1,787	1,128	2,368	2,305	1,824	2,913
93	2,133	1,406	2,782	2,704	2,213	3,314
92	2,445	1,662	3,153	3,109	2,641	3,680
91	2,712	1,880	3,470	3,495	3,081	3,999
90	2,952	2,096	3,745	3,834	3,482	4,262
89	3,133	2,304	3,918	4,117	3,840	4,455
88	3,276	2,490	4,033	4,335	4,131	4,574
87	3,416	2,642	4,164	4,464	4,327	4,616
86	3,500	2,779	4,202	4,507	4,430	4,581
85	3,529	2,901	4,148	4,475	4,448	4,476
84	3,532	2,998	4,063	4,381	4,394	4,313
83	3,485	3,058	3,921	4,230	4,285	4,099
82	3,376	3,081	3,693	4,039	4,139	3,847
81	3,263	3,096	3,467	3,819	3,968	3,571
80	3,126	3,064	3,230	3,577	3,777	3,283
79	2,932	2,961	2,946	3,332	3,578	3,002
78	2,759	2,895	2,678	3,077	3,363	2,730
77	2,610	2,840	2,442	2,824	3,134	2,472
76	2,449	2,724	2,235	2,578	2,896	2,230
75	2,284	2,592	2,044	2,342	2,656	2,004
74	2,153	2,511	1,867	2,128	2,426	1,798
73	2,051	2,442	1,723	1,925	2,206	1,606
72	1,957	2,374	1,599	1,734	2,000	1,427
71	1,865	2,307	1,479	1,557	1,809	1,264
70	1,778	2,237	1,375	1,394	1,633	1,117
69	1,711	2,168	1,304	1,250	1,475	990
68	1,663	2,118	1,253	1,120	1,328	880
67	1,602	2,067	1,180	1,004	1,193	786
66	1,520	2,006	1,070	898	1,065	704
65	1,490	2,000	1,009	792	937	625
64	1,462	1,972	974	695	819	553
63	1,369	1,830	921	612	718	490
62	1,264	1,677	857	539	629	434
61	1,206	1,614	799	474	549	384
60	1,134	1,524	742	417	480	340
59	1,056	1,420	688	367	420	301
58	995	1,348	637	323	367	267.1
57	925	1,258	584	283.5	319	236
56	847	1,151	532	249	278.5	208.9
55	769	1,041	488	219.5	243.4	186
54	697	938	447	191.4	211	163.2
53	628	845	402	163.3	180.4	137.9
52	560	760	352	143.2	160.2	116.9
51	500	680	313	130.8	149.2	101.3
50	450	603	288.7	123.4	143.4	89.9
49	394	532	251	118.4	139.1	81.8
48	341	464	212.8	113.1	132.9	76.1
47	297.3	398	192.6	104.9	121.9	71.9
46	258.4	339	175.1	94.2	107	68.5
45	219.6	290.2	146.8	82.3	90.6	65.4
44	189.8	249.5	127.5	71.1	75.4	62.1
43	168.8	218.7	116.5	61.4	62.8	58.5
42	153.4	198.8	106	53.8	53.7	54.1
41	136.8	179	92.1	47.4	46.5	49.3
40	116.2	153	76.9	42.6	41.8	44.3
39	107	136.8	75	38.8	38.6	39.4
38	101.8	128.2	73.1	35.9	36.5	34.7
37	91.6	120.6	60.1	33.6	34.9	30.5
36	86.7	114	57.2	31.6	33.7	26.8
35	82.6	106.1	57.3	29.9	32.5	23.8
34	72.8	95	48.8	28.7	31.5	21.7
33	65.3	87.5	41.3	27.9	30.8	20.6
32	64.7	85.9	42	27.5	30.4	20.2
31	56.5	76.5	35	27.5	30.2	20.6
30	48.8	68.4	27.8	27.6	30.1	21.6
29	50.4	70.4	28.8	27.8	29.9	22.7
28	47.4	67.4	25.9	27.5	29.4	23.3
27	41.7	60.7	21.6	26.7	28.6	22.9
26	39.3	56	21.3	25.3	27.6	21.1
25	38.3	53.9	21.5	23.6	26.6	18.8
24	36.4	52.5	19.2	22.2	26	16.8
23	34.2	48.2	19.4	21.5	26	15.5
22	32.9	44.1	21.1	21.7	26.9	15.2
21	33	43.7	21.5	22.8	28.9	15.8
20	33.7	46.4	20.3	24.8	31.7	17
19	33.6	48.1	18.3	27.1	34.8	18.4
18	29.2	40.9	17	28.5	36.7	19.2
17	22.5	29.9	14.7	28.3	36.4	18.7
16	16.7	22.3	10.9	26	33.8	16.9
15	13.8	17.7	9.68	22.8	29.9	14.4
14	12.4	15.1	9.53	19.2	25.4	12
13	10.8	13.6	7.82	15.9	20.8	10.2
12	8.56	11.3	5.71	13	16.4	8.97
11	6.7	8.01	5.31	10.6	12.5	8.43
10	8.44	9.09	7.74	9.11	9.6	8.55
9	10.1	11.3	8.86	8.4	7.62	9.27
8	8.36	10.3	6.34	8.32	6.36	10.5
7	7.08	7.1	7.06	8.86	5.9	12.2
6	7.12	5.85	8.46	10	6.46	14
5	8.09	9.06	7.07	11.9	8.22	15.9
4	9.76	11.8	7.54	14.4	11.3	17.7
3	12.1	12.3	11.9	17.8	16.2	19.4
2	16.1	20.1	12	23	24.4	21.4
1	24.7	23.2	26.3	31.1	37.9	24.1
0	271.5	290.3	251.6	412	465	356

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 Hungary, the most common age of death is 84, compared to 86 in Maldives. The median age of death is 80.4 in Hungary and 83.8 in Maldives, 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 Hungary and Maldives more than their death rates.

Life expectancy in other countries

+ -

1x