Life Expectancy in Hungary vs Malawi (1950-2026)

Life expectancy by current age

Chart Table

Hungary

Male

Female

Malawi

Male

Female

1x

Current age, years	Total life expectancy, years
	Hungary			Malawi
	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	100.3	100.1	100.4
97	99.5	99.4	99.5	99.4	99.2	99.5
96	98.6	98.5	98.7	98.6	98.4	98.6
95	97.8	97.7	97.9	97.7	97.5	97.8
94	97	96.9	97.1	96.9	96.6	97
93	96.3	96.1	96.3	96	95.8	96.1
92	95.5	95.3	95.6	95.2	94.9	95.3
91	94.8	94.5	94.8	94.4	94.1	94.5
90	94	93.8	94.1	93.6	93.2	93.8
89	93.4	93.1	93.5	92.8	92.4	93
88	92.7	92.4	92.8	92.1	91.6	92.2
87	92.1	91.7	92.2	91.3	90.8	91.5
86	91.4	91	91.6	90.6	90.1	90.8
85	90.8	90.4	91	89.8	89.3	90.1
84	90.2	89.7	90.5	89.1	88.5	89.4
83	89.7	89.1	89.9	88.4	87.8	88.8
82	89.1	88.5	89.4	87.8	87.1	88.2
81	88.6	87.9	89	87.2	86.4	87.6
80	88.1	87.4	88.5	86.5	85.8	87
79	87.7	86.8	88.1	85.9	85.1	86.4
78	87.2	86.3	87.7	85.3	84.5	85.9
77	86.8	85.8	87.4	84.8	83.8	85.3
76	86.4	85.3	87	84.2	83.2	84.8
75	86	84.8	86.7	83.6	82.7	84.3
74	85.6	84.4	86.4	83.1	82.1	83.9
73	85.3	83.9	86.1	82.6	81.5	83.4
72	84.9	83.5	85.9	82.1	81	83
71	84.6	83	85.6	81.7	80.5	82.5
70	84.2	82.6	85.4	81.2	80	82.1
69	83.9	82.2	85.1	80.8	79.5	81.8
68	83.6	81.8	84.9	80.3	79	81.4
67	83.2	81.4	84.6	79.9	78.6	81
66	82.9	81	84.4	79.5	78.1	80.7
65	82.6	80.5	84.2	79.2	77.7	80.4
64	82.3	80.1	84	78.8	77.3	80
63	82	79.8	83.8	78.5	76.9	79.8
62	81.7	79.4	83.6	78.1	76.5	79.5
61	81.4	79.1	83.4	77.8	76.1	79.2
60	81.2	78.7	83.2	77.5	75.8	78.9
59	80.9	78.4	83	77.2	75.4	78.7
58	80.7	78.1	82.8	76.9	75.1	78.5
57	80.4	77.8	82.7	76.7	74.8	78.2
56	80.2	77.5	82.5	76.4	74.5	78
55	80	77.3	82.4	76.1	74.2	77.8
54	79.8	77.1	82.3	75.9	73.9	77.6
53	79.6	76.8	82.2	75.6	73.6	77.4
52	79.5	76.6	82	75.4	73.3	77.3
51	79.3	76.5	82	75.2	73	77.1
50	79.2	76.3	81.9	75	72.8	76.9
49	79.1	76.1	81.8	74.8	72.5	76.7
48	79	76	81.7	74.6	72.3	76.6
47	78.9	75.9	81.6	74.4	72.1	76.5
46	78.8	75.8	81.6	74.2	71.9	76.3
45	78.7	75.7	81.5	74	71.7	76.2
44	78.6	75.6	81.5	73.8	71.5	76.1
43	78.6	75.5	81.4	73.7	71.3	75.9
42	78.5	75.5	81.4	73.5	71.1	75.8
41	78.5	75.4	81.3	73.4	70.9	75.7
40	78.4	75.4	81.3	73.3	70.7	75.6
39	78.4	75.3	81.3	73.1	70.6	75.5
38	78.3	75.3	81.3	73	70.4	75.4
37	78.3	75.2	81.2	72.9	70.2	75.3
36	78.3	75.2	81.2	72.7	70.1	75.2
35	78.2	75.1	81.2	72.6	69.9	75.1
34	78.2	75.1	81.1	72.5	69.8	75
33	78.2	75.1	81.1	72.4	69.7	75
32	78.1	75	81.1	72.3	69.5	74.9
31	78.1	75	81.1	72.2	69.4	74.8
30	78.1	75	81.1	72.1	69.3	74.7
29	78.1	74.9	81.1	72	69.2	74.7
28	78	74.9	81	71.9	69.1	74.6
27	78	74.9	81	71.8	68.9	74.5
26	78	74.8	81	71.7	68.8	74.5
25	78	74.8	81	71.6	68.7	74.4
24	78	74.8	81	71.6	68.6	74.3
23	77.9	74.8	81	71.5	68.5	74.3
22	77.9	74.7	81	71.4	68.4	74.2
21	77.9	74.7	81	71.3	68.3	74.2
20	77.9	74.7	81	71.2	68.2	74.1
19	77.9	74.7	80.9	71.2	68.1	74.1
18	77.8	74.6	80.9	71.1	68	74
17	77.8	74.6	80.9	71	68	74
16	77.8	74.6	80.9	71	67.9	73.9
15	77.8	74.6	80.9	70.9	67.8	73.9
14	77.8	74.6	80.9	70.9	67.8	73.9
13	77.8	74.6	80.9	70.9	67.8	73.8
12	77.8	74.6	80.9	70.8	67.7	73.8
11	77.8	74.6	80.9	70.8	67.7	73.8
10	77.8	74.6	80.9	70.7	67.6	73.7
9	77.8	74.5	80.9	70.7	67.6	73.7
8	77.8	74.5	80.9	70.7	67.5	73.6
7	77.8	74.5	80.9	70.6	67.5	73.6
6	77.8	74.5	80.9	70.5	67.4	73.5
5	77.8	74.5	80.9	70.5	67.4	73.5
4	77.7	74.5	80.9	70.4	67.3	73.4
3	77.7	74.5	80.8	70.3	67.1	73.3
2	77.7	74.5	80.8	70.1	67	73.1
1	77.7	74.5	80.8	69.8	66.7	72.9
0	77.5	74.3	80.6	67.9	64.6	71.1

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 Hungary can expect to live to 78.1 years compared to 72.1 in Malawi, rising to 82.6 and 79.2 at 65, and to 88.1 and 86.5 at 80 — higher than the 77.5 and 67.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Hungary

Male

Female

Malawi

Male

Female

1x

Age	Survival probability
	Hungary			Malawi
	Average	Male	Female	Average	Male	Female
100	0.94%	0.51%	1.3%	0.28%	0.11%	0.45%
99	1.43%	0.79%	1.99%	0.42%	0.17%	0.68%
98	2.12%	1.18%	2.92%	0.63%	0.26%	1%
97	3.03%	1.71%	4.17%	0.91%	0.4%	1.43%
96	4.21%	2.42%	5.76%	1.29%	0.58%	2.01%
95	5.67%	3.31%	7.72%	1.8%	0.84%	2.76%
94	7.46%	4.44%	10.1%	2.44%	1.19%	3.7%
93	9.59%	5.84%	12.9%	3.24%	1.64%	4.85%
92	12%	7.51%	16%	4.23%	2.22%	6.24%
91	14.8%	9.39%	19.5%	5.39%	2.93%	7.85%
90	17.7%	11.5%	23.2%	6.79%	3.82%	9.75%
89	20.8%	13.8%	27.2%	8.39%	4.88%	11.9%
88	24.1%	16.3%	31.2%	10.2%	6.14%	14.2%
87	27.5%	18.9%	35.4%	12.2%	7.6%	16.8%
86	31%	21.7%	39.6%	14.5%	9.26%	19.6%
85	34.6%	24.6%	43.7%	16.9%	11.1%	22.5%
84	38.1%	27.6%	47.8%	19.5%	13.2%	25.6%
83	41.6%	30.7%	51.7%	22.1%	15.4%	28.7%
82	44.9%	33.7%	55.4%	24.9%	17.8%	31.9%
81	48.2%	36.8%	58.9%	27.7%	20.2%	35%
80	51.3%	39.9%	62.1%	30.6%	22.8%	38.2%
79	54.3%	42.9%	65%	33.5%	25.5%	41.3%
78	57%	45.7%	67.7%	36.4%	28.2%	44.4%
77	59.6%	48.6%	70.1%	39.3%	31%	47.4%
76	62.1%	51.3%	72.4%	42.1%	33.7%	50.3%
75	64.4%	53.9%	74.4%	44.9%	36.5%	53.1%
74	66.5%	56.4%	76.3%	47.7%	39.2%	55.8%
73	68.6%	58.9%	78%	50.3%	41.9%	58.4%
72	70.5%	61.2%	79.6%	52.9%	44.6%	60.9%
71	72.4%	63.5%	81.1%	55.3%	47.1%	63.2%
70	74.2%	65.8%	82.5%	57.7%	49.6%	65.4%
69	75.9%	67.9%	83.8%	59.9%	52%	67.4%
68	77.5%	70.1%	85%	62.1%	54.3%	69.4%
67	79.2%	72.1%	86.2%	64.1%	56.5%	71.2%
66	80.7%	74.1%	87.3%	66%	58.7%	72.9%
65	82.2%	76.1%	88.3%	67.8%	60.7%	74.5%
64	83.6%	78.1%	89.3%	69.5%	62.7%	76%
63	85%	79.9%	90.2%	71.1%	64.6%	77.4%
62	86.3%	81.6%	91%	72.7%	66.4%	78.7%
61	87.5%	83.2%	91.8%	74.1%	68.1%	79.9%
60	88.6%	84.8%	92.6%	75.4%	69.7%	81%
59	89.7%	86.2%	93.3%	76.6%	71.2%	82%
58	90.6%	87.5%	93.9%	77.8%	72.6%	83%
57	91.6%	88.8%	94.5%	78.9%	74%	83.8%
56	92.4%	89.9%	95%	80%	75.2%	84.7%
55	93.2%	91%	95.5%	81%	76.5%	85.5%
54	93.9%	91.9%	96%	81.9%	77.6%	86.2%
53	94.5%	92.8%	96.4%	82.8%	78.7%	86.9%
52	95.1%	93.5%	96.7%	83.7%	79.8%	87.5%
51	95.6%	94.2%	97%	84.5%	80.7%	88.1%
50	96%	94.8%	97.3%	85.2%	81.7%	88.7%
49	96.4%	95.3%	97.6%	85.9%	82.5%	89.2%
48	96.8%	95.8%	97.8%	86.6%	83.3%	89.7%
47	97.1%	96.2%	98%	87.2%	84.1%	90.1%
46	97.3%	96.5%	98.1%	87.7%	84.8%	90.5%
45	97.5%	96.8%	98.3%	88.3%	85.5%	90.9%
44	97.7%	97.1%	98.4%	88.8%	86.1%	91.3%
43	97.9%	97.3%	98.5%	89.2%	86.7%	91.6%
42	98%	97.5%	98.6%	89.7%	87.3%	92%
41	98.2%	97.7%	98.7%	90.1%	87.8%	92.3%
40	98.3%	97.8%	98.8%	90.5%	88.3%	92.5%
39	98.4%	98%	98.9%	90.8%	88.8%	92.8%
38	98.5%	98.1%	99%	91.2%	89.3%	93.1%
37	98.6%	98.2%	99%	91.5%	89.7%	93.3%
36	98.7%	98.3%	99.1%	91.8%	90.1%	93.5%
35	98.8%	98.4%	99.1%	92.1%	90.5%	93.7%
34	98.8%	98.5%	99.2%	92.4%	90.8%	93.9%
33	98.9%	98.6%	99.2%	92.6%	91.1%	94.1%
32	99%	98.7%	99.3%	92.9%	91.5%	94.3%
31	99%	98.8%	99.3%	93.1%	91.8%	94.4%
30	99.1%	98.8%	99.3%	93.3%	92.1%	94.6%
29	99.1%	98.9%	99.4%	93.5%	92.3%	94.7%
28	99.2%	99%	99.4%	93.7%	92.6%	94.9%
27	99.2%	99%	99.4%	93.9%	92.9%	95%
26	99.3%	99.1%	99.4%	94.1%	93.1%	95.1%
25	99.3%	99.1%	99.4%	94.3%	93.3%	95.2%
24	99.3%	99.2%	99.5%	94.5%	93.6%	95.4%
23	99.4%	99.2%	99.5%	94.6%	93.8%	95.5%
22	99.4%	99.3%	99.5%	94.8%	94%	95.6%
21	99.4%	99.3%	99.5%	94.9%	94.2%	95.7%
20	99.5%	99.4%	99.5%	95.1%	94.4%	95.8%
19	99.5%	99.4%	99.6%	95.2%	94.6%	95.9%
18	99.5%	99.5%	99.6%	95.3%	94.7%	96%
17	99.5%	99.5%	99.6%	95.4%	94.9%	96%
16	99.6%	99.5%	99.6%	95.5%	95%	96.1%
15	99.6%	99.5%	99.6%	95.6%	95.1%	96.2%
14	99.6%	99.6%	99.6%	95.7%	95.2%	96.2%
13	99.6%	99.6%	99.6%	95.8%	95.2%	96.3%
12	99.6%	99.6%	99.6%	95.8%	95.3%	96.3%
11	99.6%	99.6%	99.6%	95.9%	95.4%	96.4%
10	99.6%	99.6%	99.7%	95.9%	95.4%	96.4%
9	99.6%	99.6%	99.7%	96%	95.5%	96.5%
8	99.6%	99.6%	99.7%	96.1%	95.6%	96.5%
7	99.7%	99.6%	99.7%	96.1%	95.7%	96.6%
6	99.7%	99.6%	99.7%	96.2%	95.8%	96.7%
5	99.7%	99.6%	99.7%	96.3%	95.9%	96.8%
4	99.7%	99.7%	99.7%	96.5%	96%	96.9%
3	99.7%	99.7%	99.7%	96.6%	96.2%	97%
2	99.7%	99.7%	99.7%	96.9%	96.5%	97.3%
1	99.7%	99.7%	99.7%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 88.6% of newborns in Hungary and 75.4% in Malawi are expected to live past 60, 74.2% and 57.7% past 70, 51.3% and 30.6% past 80, and only 17.7% and 6.79% 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

Malawi

Male

Female

1x

Age	Probability of dying
	Hungary			Malawi
	Average	Male	Female	Average	Male	Female
100	36.8%	37.4%	36.6%	35.9%	38.2%	35.3%
99	34.6%	35.3%	34.4%	34.4%	36.8%	33.8%
98	32.3%	33.2%	32.1%	32.6%	35.1%	31.9%
97	30.2%	31.2%	29.9%	31.2%	33.7%	30.4%
96	28%	29.2%	27.6%	29.7%	32.3%	28.8%
95	25.8%	26.9%	25.4%	28.1%	30.8%	27.2%
94	24%	25.4%	23.5%	26.3%	29.1%	25.4%
93	22.2%	24.1%	21.6%	24.7%	27.5%	23.7%
92	20.3%	22.1%	19.7%	23.3%	26%	22.2%
91	18.4%	20%	17.8%	21.6%	24.4%	20.5%
90	16.7%	18.3%	16.1%	20.6%	23.3%	19.5%
89	15%	16.7%	14.4%	19%	21.7%	17.8%
88	13.6%	15.3%	12.9%	17.8%	20.5%	16.6%
87	12.4%	14%	11.8%	16.6%	19.2%	15.3%
86	11.3%	12.8%	10.6%	15.4%	18%	14.2%
85	10.2%	11.8%	9.49%	14.3%	16.7%	13.1%
84	9.27%	10.9%	8.51%	13.3%	15.6%	12%
83	8.38%	9.98%	7.59%	12.1%	14.4%	10.9%
82	7.51%	9.13%	6.67%	11.1%	13.3%	9.93%
81	6.77%	8.41%	5.89%	10.1%	12.1%	8.87%
80	6.09%	7.68%	5.2%	9.44%	11.4%	8.27%
79	5.4%	6.91%	4.53%	8.65%	10.4%	7.55%
78	4.84%	6.33%	3.95%	8.01%	9.69%	6.95%
77	4.38%	5.85%	3.48%	7.31%	8.88%	6.31%
76	3.94%	5.31%	3.09%	6.76%	8.21%	5.8%
75	3.55%	4.81%	2.75%	6.27%	7.59%	5.34%
74	3.24%	4.45%	2.45%	5.75%	6.98%	4.86%
73	2.99%	4.15%	2.21%	5.28%	6.42%	4.43%
72	2.77%	3.88%	2.01%	4.86%	5.92%	4.05%
71	2.58%	3.63%	1.82%	4.4%	5.38%	3.63%
70	2.4%	3.4%	1.67%	4.11%	5.03%	3.39%
69	2.25%	3.19%	1.56%	3.72%	4.59%	3.03%
68	2.14%	3.02%	1.47%	3.43%	4.25%	2.78%
67	2.02%	2.87%	1.37%	3.15%	3.93%	2.54%
66	1.88%	2.71%	1.23%	2.9%	3.64%	2.33%
65	1.81%	2.63%	1.14%	2.7%	3.4%	2.17%
64	1.75%	2.53%	1.09%	2.47%	3.15%	1.97%
63	1.61%	2.29%	1.02%	2.27%	2.92%	1.8%
62	1.47%	2.05%	0.94%	2.09%	2.7%	1.65%
61	1.38%	1.94%	0.87%	1.9%	2.48%	1.49%
60	1.28%	1.8%	0.8%	1.77%	2.32%	1.39%
59	1.18%	1.65%	0.74%	1.62%	2.12%	1.25%
58	1.1%	1.54%	0.68%	1.5%	1.97%	1.15%
57	1.01%	1.42%	0.62%	1.4%	1.83%	1.06%
56	0.92%	1.28%	0.56%	1.31%	1.7%	0.98%
55	0.83%	1.14%	0.51%	1.23%	1.59%	0.91%
54	0.74%	1.02%	0.47%	1.16%	1.49%	0.85%
53	0.66%	0.91%	0.42%	1.09%	1.39%	0.79%
52	0.59%	0.81%	0.36%	1.02%	1.3%	0.74%
51	0.52%	0.72%	0.32%	0.94%	1.21%	0.67%
50	0.47%	0.64%	0.3%	0.89%	1.14%	0.63%
49	0.41%	0.56%	0.26%	0.82%	1.05%	0.58%
48	0.35%	0.48%	0.22%	0.76%	0.98%	0.54%
47	0.31%	0.41%	0.2%	0.7%	0.91%	0.5%
46	0.27%	0.35%	0.18%	0.65%	0.84%	0.46%
45	0.23%	0.3%	0.15%	0.6%	0.79%	0.43%
44	0.19%	0.26%	0.13%	0.56%	0.74%	0.4%
43	0.17%	0.22%	0.12%	0.52%	0.69%	0.37%
42	0.16%	0.2%	0.11%	0.49%	0.65%	0.35%
41	0.14%	0.18%	0.09%	0.45%	0.6%	0.33%
40	0.12%	0.16%	0.08%	0.43%	0.57%	0.31%
39	0.11%	0.14%	0.08%	0.4%	0.53%	0.29%
38	0.1%	0.13%	0.07%	0.38%	0.5%	0.27%
37	0.09%	0.12%	0.06%	0.35%	0.47%	0.25%
36	0.09%	0.12%	0.06%	0.33%	0.44%	0.23%
35	0.08%	0.11%	0.06%	0.31%	0.42%	0.22%
34	0.07%	0.1%	0.05%	0.29%	0.39%	0.21%
33	0.07%	0.09%	0.04%	0.28%	0.37%	0.19%
32	0.07%	0.09%	0.04%	0.26%	0.35%	0.18%
31	0.06%	0.08%	0.04%	0.25%	0.33%	0.17%
30	0.05%	0.07%	0.03%	0.24%	0.32%	0.16%
29	0.05%	0.07%	0.03%	0.23%	0.3%	0.15%
28	0.05%	0.07%	0.03%	0.22%	0.29%	0.15%
27	0.04%	0.06%	0.02%	0.21%	0.27%	0.14%
26	0.04%	0.06%	0.02%	0.2%	0.26%	0.13%
25	0.04%	0.05%	0.02%	0.19%	0.25%	0.13%
24	0.04%	0.05%	0.02%	0.18%	0.24%	0.12%
23	0.03%	0.05%	0.02%	0.18%	0.24%	0.12%
22	0.03%	0.04%	0.02%	0.17%	0.23%	0.11%
21	0.03%	0.04%	0.02%	0.16%	0.21%	0.11%
20	0.03%	0.05%	0.02%	0.15%	0.2%	0.1%
19	0.03%	0.05%	0.02%	0.14%	0.19%	0.1%
18	0.03%	0.04%	0.02%	0.13%	0.17%	0.09%
17	0.02%	0.03%	0.01%	0.11%	0.15%	0.08%
16	0.02%	0.02%	0.01%	0.1%	0.12%	0.08%
15	0.01%	0.02%	0.01%	0.09%	0.1%	0.07%
14	0.01%	0.02%	0.01%	0.07%	0.09%	0.06%
13	0.01%	0.01%	0.008%	0.07%	0.08%	0.06%
12	0.009%	0.01%	0.006%	0.06%	0.07%	0.05%
11	0.007%	0.008%	0.005%	0.06%	0.07%	0.05%
10	0.008%	0.009%	0.008%	0.06%	0.07%	0.05%
9	0.01%	0.01%	0.009%	0.07%	0.07%	0.06%
8	0.008%	0.01%	0.006%	0.07%	0.08%	0.06%
7	0.007%	0.007%	0.007%	0.08%	0.09%	0.07%
6	0.007%	0.006%	0.008%	0.09%	0.1%	0.08%
5	0.008%	0.009%	0.007%	0.1%	0.11%	0.09%
4	0.01%	0.01%	0.008%	0.13%	0.14%	0.12%
3	0.01%	0.01%	0.01%	0.17%	0.19%	0.16%
2	0.02%	0.02%	0.01%	0.25%	0.27%	0.22%
1	0.02%	0.02%	0.03%	0.39%	0.42%	0.36%
0	0.27%	0.29%	0.25%	2.76%	3.13%	2.38%

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

The annual chance of dying is 0.27% in the birth year in Hungary and 2.76% in Malawi, 0.05% vs 0.24% at age 30, 1.28% vs 1.77% at 60, and 6.09% vs 9.44% at 80.

Death rate by age in Hungary vs Malawi

Chart Table

Hungary

Male

Female

Malawi

Male

Female

1x

Age	Death rate
	Hungary			Malawi
	Total	Male	Female	Total	Male	Female
100	217.8	97.2	320	34.7	0.008	71
99	495	277.8	683	145.2	62.6	229.1
98	684	391	938	204.3	91.9	318
97	915	535	1,245	283.6	133.3	435
96	1,180	706	1,592	384	188.4	580
95	1,464	892	1,963	505	259.5	751
94	1,787	1,128	2,368	643	345	939
93	2,133	1,406	2,782	802	451	1,153
92	2,445	1,662	3,153	983	576	1,387
91	2,712	1,880	3,470	1,166	714	1,612
90	2,952	2,096	3,745	1,399	890	1,900
89	3,133	2,304	3,918	1,594	1,061	2,117
88	3,276	2,490	4,033	1,819	1,259	2,365
87	3,416	2,642	4,164	2,026	1,457	2,578
86	3,500	2,779	4,202	2,231	1,664	2,778
85	3,529	2,901	4,148	2,412	1,861	2,944
84	3,532	2,998	4,063	2,577	2,061	3,073
83	3,485	3,058	3,921	2,684	2,217	3,131
82	3,376	3,081	3,693	2,777	2,368	3,168
81	3,263	3,096	3,467	2,788	2,455	3,104
80	3,126	3,064	3,230	2,887	2,601	3,158
79	2,932	2,961	2,946	2,894	2,661	3,115
78	2,759	2,895	2,678	2,915	2,734	3,085
77	2,610	2,840	2,442	2,869	2,749	2,989
76	2,449	2,724	2,235	2,847	2,770	2,916
75	2,284	2,592	2,044	2,815	2,769	2,834
74	2,153	2,511	1,867	2,739	2,737	2,711
73	2,051	2,442	1,723	2,655	2,691	2,586
72	1,957	2,374	1,599	2,572	2,639	2,467
71	1,865	2,307	1,479	2,433	2,537	2,293
70	1,778	2,237	1,375	2,371	2,494	2,214
69	1,711	2,168	1,304	2,226	2,386	2,040
68	1,663	2,118	1,253	2,127	2,309	1,930
67	1,602	2,067	1,180	2,016	2,222	1,808
66	1,520	2,006	1,070	1,912	2,137	1,699
65	1,490	2,000	1,009	1,828	2,067	1,615
64	1,462	1,972	974	1,716	1,973	1,499
63	1,369	1,830	921	1,612	1,883	1,395
62	1,264	1,677	857	1,516	1,794	1,300
61	1,206	1,614	799	1,405	1,687	1,188
60	1,134	1,524	742	1,338	1,616	1,125
59	1,056	1,420	688	1,239	1,510	1,025
58	995	1,348	637	1,171	1,430	958
57	925	1,258	584	1,102	1,350	887
56	847	1,151	532	1,048	1,282	833
55	769	1,041	488	996	1,219	778
54	697	938	447	949	1,157	731
53	628	845	402	900	1,096	684
52	560	760	352	855	1,040	645
51	500	680	313	798	975	592
50	450	603	288.7	759	929	563
49	394	532	251	702	865	517
48	341	464	212.8	655	813	482
47	297.3	398	192.6	609	762	446
46	258.4	339	175.1	568	716	416
45	219.6	290.2	146.8	533	677	392
44	189.8	249.5	127.5	496	634	365
43	168.8	218.7	116.5	465	598	343
42	153.4	198.8	106	438	566	324
41	136.8	179	92.1	408	530	299.9
40	116.2	153	76.9	388	506	285.2
39	107	136.8	75	363	474	265.1
38	101.8	128.2	73.1	343	449	249.3
37	91.6	120.6	60.1	322	423	232
36	86.7	114	57.2	304	399	218.8
35	82.6	106.1	57.3	288.1	378	205.9
34	72.8	95	48.8	271.5	356	192.6
33	65.3	87.5	41.3	257	337	181.7
32	64.7	85.9	42	244.2	320	171.7
31	56.5	76.5	35	230.4	302	160.6
30	48.8	68.4	27.8	222	290.7	154.7
29	50.4	70.4	28.8	210.9	276.4	146.2
28	47.4	67.4	25.9	201.9	265	139.1
27	41.7	60.7	21.6	193.4	254.5	132.5
26	39.3	56	21.3	185.6	245.1	126.3
25	38.3	53.9	21.5	178.7	237.2	120.4
24	36.4	52.5	19.2	172.2	229	115.6
23	34.2	48.2	19.4	165.6	221	110.5
22	32.9	44.1	21.1	158.7	211.8	105.8
21	33	43.7	21.5	151	201	101.2
20	33.7	46.4	20.3	143.1	189.1	97.4
19	33.6	48.1	18.3	133.8	175.4	92.3
18	29.2	40.9	17	123.3	160.2	86.6
17	22.5	29.9	14.7	108.6	137.6	79.6
16	16.7	22.3	10.9	94.9	117	72.7
15	13.8	17.7	9.68	82	98.8	65.2
14	12.4	15.1	9.53	71.7	85	58.4
13	10.8	13.6	7.82	64.5	75.3	53.7
12	8.56	11.3	5.71	60.4	70.1	50.6
11	6.7	8.01	5.31	59	68.1	49.8
10	8.44	9.09	7.74	59.7	68.2	51.1
9	10.1	11.3	8.86	62.8	71.3	54.1
8	8.36	10.3	6.34	68.3	77.3	59.2
7	7.08	7.1	7.06	76.3	85.7	66.7
6	7.12	5.85	8.46	85.9	95.4	76.4
5	8.09	9.06	7.07	100.2	110	90.4
4	9.76	11.8	7.54	126.8	139.2	114.2
3	12.1	12.3	11.9	168.3	184.6	151.7
2	16.1	20.1	12	237.5	258.9	215.8
1	24.7	23.2	26.3	379	404	353
0	271.5	290.3	251.6	2,759	3,129	2,385

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 78 in Malawi. The median age of death is 80.4 in Hungary and 73.1 in Malawi, 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 Malawi more than their death rates.

Life expectancy in other countries

+ -

1x