Life Expectancy in Hungary vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Hungary

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Hungary			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	102.1	102	102.2	102.2	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	100.1	100.4
97	99.5	99.4	99.5	99.5	99.2	99.5
96	98.6	98.5	98.7	98.6	98.4	98.7
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	95.7	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	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	91.6	92.2
87	92.1	91.7	92.2	91.2	90.8	91.5
86	91.4	91	91.6	90.5	90	90.8
85	90.8	90.4	91	89.8	89.2	90.1
84	90.2	89.7	90.5	89	88.4	89.4
83	89.7	89.1	89.9	88.4	87.7	88.7
82	89.1	88.5	89.4	87.7	87	88.1
81	88.6	87.9	89	87	86.3	87.5
80	88.1	87.4	88.5	86.4	85.6	86.9
79	87.7	86.8	88.1	85.8	84.9	86.3
78	87.2	86.3	87.7	85.1	84.2	85.7
77	86.8	85.8	87.4	84.5	83.6	85.2
76	86.4	85.3	87	83.9	83	84.6
75	86	84.8	86.7	83.4	82.3	84.1
74	85.6	84.4	86.4	82.8	81.7	83.5
73	85.3	83.9	86.1	82.2	81.2	83
72	84.9	83.5	85.9	81.7	80.6	82.5
71	84.6	83	85.6	81.2	80	82.1
70	84.2	82.6	85.4	80.7	79.5	81.6
69	83.9	82.2	85.1	80.2	79	81.1
68	83.6	81.8	84.9	79.7	78.4	80.7
67	83.2	81.4	84.6	79.2	77.9	80.2
66	82.9	81	84.4	78.8	77.5	79.8
65	82.6	80.5	84.2	78.3	77	79.4
64	82.3	80.1	84	77.9	76.5	79
63	82	79.8	83.8	77.5	76.1	78.6
62	81.7	79.4	83.6	77.1	75.6	78.2
61	81.4	79.1	83.4	76.7	75.2	77.9
60	81.2	78.7	83.2	76.3	74.8	77.5
59	80.9	78.4	83	75.9	74.4	77.2
58	80.7	78.1	82.8	75.6	74	76.9
57	80.4	77.8	82.7	75.2	73.6	76.6
56	80.2	77.5	82.5	74.9	73.2	76.3
55	80	77.3	82.4	74.6	72.8	76
54	79.8	77.1	82.3	74.2	72.5	75.7
53	79.6	76.8	82.2	73.9	72.1	75.4
52	79.5	76.6	82	73.6	71.8	75.1
51	79.3	76.5	82	73.3	71.4	74.8
50	79.2	76.3	81.9	73	71.1	74.6
49	79.1	76.1	81.8	72.7	70.8	74.3
48	79	76	81.7	72.5	70.5	74
47	78.9	75.9	81.6	72.2	70.2	73.8
46	78.8	75.8	81.6	71.9	69.9	73.6
45	78.7	75.7	81.5	71.7	69.6	73.3
44	78.6	75.6	81.5	71.4	69.3	73.1
43	78.6	75.5	81.4	71.2	69	72.9
42	78.5	75.5	81.4	70.9	68.7	72.7
41	78.5	75.4	81.3	70.7	68.5	72.5
40	78.4	75.4	81.3	70.5	68.2	72.2
39	78.4	75.3	81.3	70.2	68	72
38	78.3	75.3	81.3	70	67.8	71.9
37	78.3	75.2	81.2	69.8	67.5	71.7
36	78.3	75.2	81.2	69.6	67.3	71.5
35	78.2	75.1	81.2	69.4	67.1	71.3
34	78.2	75.1	81.1	69.2	66.9	71.1
33	78.2	75.1	81.1	69	66.7	71
32	78.1	75	81.1	68.9	66.5	70.8
31	78.1	75	81.1	68.7	66.3	70.6
30	78.1	75	81.1	68.5	66.2	70.5
29	78.1	74.9	81.1	68.4	66	70.4
28	78	74.9	81	68.2	65.8	70.2
27	78	74.9	81	68.1	65.7	70.1
26	78	74.8	81	68	65.5	70
25	78	74.8	81	67.8	65.4	69.8
24	78	74.8	81	67.7	65.3	69.7
23	77.9	74.8	81	67.6	65.1	69.6
22	77.9	74.7	81	67.5	65	69.5
21	77.9	74.7	81	67.4	64.9	69.4
20	77.9	74.7	81	67.3	64.8	69.3
19	77.9	74.7	80.9	67.2	64.7	69.3
18	77.8	74.6	80.9	67.1	64.6	69.2
17	77.8	74.6	80.9	67	64.5	69.1
16	77.8	74.6	80.9	67	64.4	69.1
15	77.8	74.6	80.9	66.9	64.4	69
14	77.8	74.6	80.9	66.8	64.3	69
13	77.8	74.6	80.9	66.8	64.3	68.9
12	77.8	74.6	80.9	66.8	64.2	68.9
11	77.8	74.6	80.9	66.7	64.2	68.8
10	77.8	74.6	80.9	66.7	64.2	68.8
9	77.8	74.5	80.9	66.6	64.1	68.8
8	77.8	74.5	80.9	66.6	64.1	68.7
7	77.8	74.5	80.9	66.5	64	68.7
6	77.8	74.5	80.9	66.5	64	68.6
5	77.8	74.5	80.9	66.4	63.9	68.5
4	77.7	74.5	80.9	66.3	63.8	68.4
3	77.7	74.5	80.8	66.2	63.6	68.3
2	77.7	74.5	80.8	66	63.5	68.1
1	77.7	74.5	80.8	65.6	63.2	67.7
0	77.5	74.3	80.6	63.6	61	65.9

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 68.5 in Zimbabwe, rising to 82.6 and 78.3 at 65, and to 88.1 and 86.4 at 80 — higher than the 77.5 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Hungary

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Hungary			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	0.94%	0.51%	1.3%	0.2%	0.07%	0.33%
99	1.43%	0.79%	1.99%	0.31%	0.12%	0.5%
98	2.12%	1.18%	2.92%	0.46%	0.18%	0.73%
97	3.03%	1.71%	4.17%	0.66%	0.27%	1.05%
96	4.21%	2.42%	5.76%	0.94%	0.4%	1.47%
95	5.67%	3.31%	7.72%	1.3%	0.59%	2.02%
94	7.46%	4.44%	10.1%	1.77%	0.83%	2.71%
93	9.59%	5.84%	12.9%	2.36%	1.15%	3.55%
92	12%	7.51%	16%	3.08%	1.57%	4.57%
91	14.8%	9.39%	19.5%	3.95%	2.09%	5.75%
90	17.7%	11.5%	23.2%	4.99%	2.73%	7.15%
89	20.8%	13.8%	27.2%	6.18%	3.51%	8.72%
88	24.1%	16.3%	31.2%	7.56%	4.44%	10.5%
87	27.5%	18.9%	35.4%	9.1%	5.53%	12.4%
86	31%	21.7%	39.6%	10.8%	6.78%	14.5%
85	34.6%	24.6%	43.7%	12.7%	8.2%	16.8%
84	38.1%	27.6%	47.8%	14.7%	9.78%	19.1%
83	41.6%	30.7%	51.7%	16.8%	11.5%	21.5%
82	44.9%	33.7%	55.4%	19%	13.4%	24%
81	48.2%	36.8%	58.9%	21.2%	15.4%	26.4%
80	51.3%	39.9%	62.1%	23.5%	17.5%	28.8%
79	54.3%	42.9%	65%	25.9%	19.7%	31.3%
78	57%	45.7%	67.7%	28.3%	21.9%	33.8%
77	59.6%	48.6%	70.1%	30.7%	24.3%	36.3%
76	62.1%	51.3%	72.4%	33.2%	26.6%	38.7%
75	64.4%	53.9%	74.4%	35.6%	29%	41.2%
74	66.5%	56.4%	76.3%	38%	31.4%	43.6%
73	68.6%	58.9%	78%	40.4%	33.9%	45.9%
72	70.5%	61.2%	79.6%	42.8%	36.3%	48.2%
71	72.4%	63.5%	81.1%	45.1%	38.6%	50.4%
70	74.2%	65.8%	82.5%	47.3%	40.9%	52.6%
69	75.9%	67.9%	83.8%	49.5%	43.2%	54.7%
68	77.5%	70.1%	85%	51.6%	45.4%	56.7%
67	79.2%	72.1%	86.2%	53.6%	47.6%	58.6%
66	80.7%	74.1%	87.3%	55.6%	49.7%	60.5%
65	82.2%	76.1%	88.3%	57.6%	51.8%	62.3%
64	83.6%	78.1%	89.3%	59.5%	53.8%	64%
63	85%	79.9%	90.2%	61.2%	55.8%	65.7%
62	86.3%	81.6%	91%	63%	57.7%	67.2%
61	87.5%	83.2%	91.8%	64.6%	59.5%	68.7%
60	88.6%	84.8%	92.6%	66.2%	61.2%	70.1%
59	89.7%	86.2%	93.3%	67.6%	62.9%	71.4%
58	90.6%	87.5%	93.9%	69.1%	64.5%	72.7%
57	91.6%	88.8%	94.5%	70.4%	66%	73.9%
56	92.4%	89.9%	95%	71.7%	67.5%	75%
55	93.2%	91%	95.5%	72.9%	69%	76.1%
54	93.9%	91.9%	96%	74.1%	70.3%	77.2%
53	94.5%	92.8%	96.4%	75.2%	71.7%	78.2%
52	95.1%	93.5%	96.7%	76.3%	73%	79.1%
51	95.6%	94.2%	97%	77.4%	74.2%	80.1%
50	96%	94.8%	97.3%	78.4%	75.4%	81%
49	96.4%	95.3%	97.6%	79.4%	76.6%	81.8%
48	96.8%	95.8%	97.8%	80.3%	77.7%	82.6%
47	97.1%	96.2%	98%	81.2%	78.7%	83.4%
46	97.3%	96.5%	98.1%	82%	79.7%	84.1%
45	97.5%	96.8%	98.3%	82.9%	80.7%	84.8%
44	97.7%	97.1%	98.4%	83.6%	81.6%	85.5%
43	97.9%	97.3%	98.5%	84.4%	82.5%	86.1%
42	98%	97.5%	98.6%	85.1%	83.3%	86.7%
41	98.2%	97.7%	98.7%	85.8%	84.1%	87.3%
40	98.3%	97.8%	98.8%	86.4%	84.9%	87.9%
39	98.4%	98%	98.9%	87.1%	85.6%	88.4%
38	98.5%	98.1%	99%	87.7%	86.3%	89%
37	98.6%	98.2%	99%	88.2%	86.9%	89.5%
36	98.7%	98.3%	99.1%	88.8%	87.5%	89.9%
35	98.8%	98.4%	99.1%	89.3%	88.1%	90.4%
34	98.8%	98.5%	99.2%	89.8%	88.7%	90.8%
33	98.9%	98.6%	99.2%	90.2%	89.2%	91.2%
32	99%	98.7%	99.3%	90.7%	89.7%	91.6%
31	99%	98.8%	99.3%	91.1%	90.1%	91.9%
30	99.1%	98.8%	99.3%	91.4%	90.6%	92.3%
29	99.1%	98.9%	99.4%	91.8%	91%	92.6%
28	99.2%	99%	99.4%	92.1%	91.4%	92.9%
27	99.2%	99%	99.4%	92.5%	91.7%	93.2%
26	99.3%	99.1%	99.4%	92.8%	92.1%	93.5%
25	99.3%	99.1%	99.4%	93.1%	92.4%	93.7%
24	99.3%	99.2%	99.5%	93.3%	92.7%	93.9%
23	99.4%	99.2%	99.5%	93.6%	93%	94.2%
22	99.4%	99.3%	99.5%	93.8%	93.3%	94.4%
21	99.4%	99.3%	99.5%	94%	93.5%	94.5%
20	99.5%	99.4%	99.5%	94.2%	93.8%	94.7%
19	99.5%	99.4%	99.6%	94.4%	94%	94.9%
18	99.5%	99.5%	99.6%	94.6%	94.2%	95%
17	99.5%	99.5%	99.6%	94.7%	94.3%	95.1%
16	99.6%	99.5%	99.6%	94.8%	94.5%	95.2%
15	99.6%	99.5%	99.6%	94.9%	94.6%	95.3%
14	99.6%	99.6%	99.6%	95%	94.7%	95.4%
13	99.6%	99.6%	99.6%	95.1%	94.8%	95.5%
12	99.6%	99.6%	99.6%	95.2%	94.8%	95.6%
11	99.6%	99.6%	99.6%	95.3%	94.9%	95.6%
10	99.6%	99.6%	99.7%	95.3%	95%	95.7%
9	99.6%	99.6%	99.7%	95.4%	95.1%	95.8%
8	99.6%	99.6%	99.7%	95.5%	95.1%	95.8%
7	99.7%	99.6%	99.7%	95.6%	95.2%	95.9%
6	99.7%	99.6%	99.7%	95.7%	95.3%	96%
5	99.7%	99.6%	99.7%	95.8%	95.5%	96.1%
4	99.7%	99.7%	99.7%	95.9%	95.6%	96.3%
3	99.7%	99.7%	99.7%	96.2%	95.8%	96.5%
2	99.7%	99.7%	99.7%	96.5%	96.1%	96.8%
1	99.7%	99.7%	99.7%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 88.6% of newborns in Hungary and 66.2% in Zimbabwe are expected to live past 60, 74.2% and 47.3% past 70, 51.3% and 23.5% past 80, and only 17.7% and 4.99% 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

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Hungary			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	36.8%	37.4%	36.6%	35.7%	38.2%	35%
99	34.6%	35.3%	34.4%	34.3%	36.9%	33.6%
98	32.3%	33.2%	32.1%	32.4%	35.2%	31.7%
97	30.2%	31.2%	29.9%	31.1%	33.9%	30.2%
96	28%	29.2%	27.6%	29.6%	32.5%	28.7%
95	25.8%	26.9%	25.4%	28.1%	31%	27.1%
94	24%	25.4%	23.5%	26.4%	29.5%	25.4%
93	22.2%	24.1%	21.6%	24.9%	27.9%	23.7%
92	20.3%	22.1%	19.7%	23.5%	26.4%	22.2%
91	18.4%	20%	17.8%	21.9%	24.9%	20.6%
90	16.7%	18.3%	16.1%	20.9%	23.7%	19.6%
89	15%	16.7%	14.4%	19.3%	22.2%	18%
88	13.6%	15.3%	12.9%	18.2%	20.9%	16.8%
87	12.4%	14%	11.8%	16.9%	19.7%	15.6%
86	11.3%	12.8%	10.6%	15.8%	18.5%	14.5%
85	10.2%	11.8%	9.49%	14.7%	17.3%	13.3%
84	9.27%	10.9%	8.51%	13.6%	16.2%	12.3%
83	8.38%	9.98%	7.59%	12.5%	15%	11.2%
82	7.51%	9.13%	6.67%	11.6%	14%	10.2%
81	6.77%	8.41%	5.89%	10.5%	12.9%	9.17%
80	6.09%	7.68%	5.2%	9.89%	12.1%	8.58%
79	5.4%	6.91%	4.53%	9.11%	11.1%	7.87%
78	4.84%	6.33%	3.95%	8.54%	10.4%	7.38%
77	4.38%	5.85%	3.48%	7.89%	9.57%	6.81%
76	3.94%	5.31%	3.09%	7.37%	8.9%	6.37%
75	3.55%	4.81%	2.75%	6.87%	8.28%	5.94%
74	3.24%	4.45%	2.45%	6.38%	7.68%	5.51%
73	2.99%	4.15%	2.21%	5.92%	7.12%	5.11%
72	2.77%	3.88%	2.01%	5.51%	6.62%	4.76%
71	2.58%	3.63%	1.82%	5.06%	6.09%	4.37%
70	2.4%	3.4%	1.67%	4.75%	5.7%	4.11%
69	2.25%	3.19%	1.56%	4.38%	5.25%	3.78%
68	2.14%	3.02%	1.47%	4.09%	4.9%	3.54%
67	2.02%	2.87%	1.37%	3.82%	4.56%	3.31%
66	1.88%	2.71%	1.23%	3.58%	4.26%	3.1%
65	1.81%	2.63%	1.14%	3.38%	4.01%	2.93%
64	1.75%	2.53%	1.09%	3.14%	3.74%	2.7%
63	1.61%	2.29%	1.02%	2.92%	3.5%	2.49%
62	1.47%	2.05%	0.94%	2.73%	3.28%	2.31%
61	1.38%	1.94%	0.87%	2.53%	3.04%	2.13%
60	1.28%	1.8%	0.8%	2.37%	2.87%	1.99%
59	1.18%	1.65%	0.74%	2.19%	2.65%	1.85%
58	1.1%	1.54%	0.68%	2.04%	2.48%	1.73%
57	1.01%	1.42%	0.62%	1.91%	2.33%	1.62%
56	0.92%	1.28%	0.56%	1.79%	2.2%	1.53%
55	0.83%	1.14%	0.51%	1.69%	2.09%	1.44%
54	0.74%	1.02%	0.47%	1.6%	1.97%	1.36%
53	0.66%	0.91%	0.42%	1.52%	1.87%	1.29%
52	0.59%	0.81%	0.36%	1.44%	1.78%	1.23%
51	0.52%	0.72%	0.32%	1.36%	1.68%	1.15%
50	0.47%	0.64%	0.3%	1.3%	1.6%	1.1%
49	0.41%	0.56%	0.26%	1.22%	1.5%	1.03%
48	0.35%	0.48%	0.22%	1.16%	1.41%	0.98%
47	0.31%	0.41%	0.2%	1.09%	1.33%	0.92%
46	0.27%	0.35%	0.18%	1.04%	1.25%	0.87%
45	0.23%	0.3%	0.15%	0.99%	1.19%	0.83%
44	0.19%	0.26%	0.13%	0.93%	1.12%	0.78%
43	0.17%	0.22%	0.12%	0.89%	1.06%	0.75%
42	0.16%	0.2%	0.11%	0.84%	1%	0.71%
41	0.14%	0.18%	0.09%	0.8%	0.95%	0.68%
40	0.12%	0.16%	0.08%	0.76%	0.9%	0.65%
39	0.11%	0.14%	0.08%	0.72%	0.85%	0.62%
38	0.1%	0.13%	0.07%	0.68%	0.8%	0.59%
37	0.09%	0.12%	0.06%	0.64%	0.75%	0.55%
36	0.09%	0.12%	0.06%	0.61%	0.71%	0.53%
35	0.08%	0.11%	0.06%	0.57%	0.66%	0.5%
34	0.07%	0.1%	0.05%	0.54%	0.62%	0.47%
33	0.07%	0.09%	0.04%	0.5%	0.58%	0.44%
32	0.07%	0.09%	0.04%	0.47%	0.54%	0.41%
31	0.06%	0.08%	0.04%	0.44%	0.51%	0.39%
30	0.05%	0.07%	0.03%	0.42%	0.48%	0.37%
29	0.05%	0.07%	0.03%	0.4%	0.45%	0.35%
28	0.05%	0.07%	0.03%	0.37%	0.42%	0.33%
27	0.04%	0.06%	0.02%	0.35%	0.4%	0.31%
26	0.04%	0.06%	0.02%	0.33%	0.37%	0.29%
25	0.04%	0.05%	0.02%	0.31%	0.35%	0.26%
24	0.04%	0.05%	0.02%	0.29%	0.33%	0.25%
23	0.03%	0.05%	0.02%	0.27%	0.31%	0.23%
22	0.03%	0.04%	0.02%	0.25%	0.29%	0.21%
21	0.03%	0.04%	0.02%	0.23%	0.27%	0.19%
20	0.03%	0.05%	0.02%	0.21%	0.25%	0.18%
19	0.03%	0.05%	0.02%	0.19%	0.22%	0.16%
18	0.03%	0.04%	0.02%	0.17%	0.2%	0.15%
17	0.02%	0.03%	0.01%	0.15%	0.17%	0.13%
16	0.02%	0.02%	0.01%	0.13%	0.14%	0.12%
15	0.01%	0.02%	0.01%	0.11%	0.12%	0.1%
14	0.01%	0.02%	0.01%	0.1%	0.1%	0.09%
13	0.01%	0.01%	0.008%	0.08%	0.09%	0.08%
12	0.009%	0.01%	0.006%	0.08%	0.08%	0.07%
11	0.007%	0.008%	0.005%	0.07%	0.08%	0.07%
10	0.008%	0.009%	0.008%	0.07%	0.08%	0.07%
9	0.01%	0.01%	0.009%	0.08%	0.08%	0.07%
8	0.008%	0.01%	0.006%	0.08%	0.09%	0.08%
7	0.007%	0.007%	0.007%	0.09%	0.1%	0.09%
6	0.007%	0.006%	0.008%	0.1%	0.11%	0.1%
5	0.008%	0.009%	0.007%	0.12%	0.13%	0.12%
4	0.01%	0.01%	0.008%	0.16%	0.17%	0.16%
3	0.01%	0.01%	0.01%	0.22%	0.22%	0.22%
2	0.02%	0.02%	0.01%	0.32%	0.32%	0.32%
1	0.02%	0.02%	0.03%	0.5%	0.48%	0.52%
0	0.27%	0.29%	0.25%	3.05%	3.4%	2.7%

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

The annual chance of dying is 0.27% in the birth year in Hungary and 3.05% in Zimbabwe, 0.05% vs 0.42% at age 30, 1.28% vs 2.37% at 60, and 6.09% vs 9.89% at 80.

Death rate by age in Hungary vs Zimbabwe

Chart Table

Hungary

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Hungary			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	217.8	97.2	320	24.9	0	53
99	495	277.8	683	105.4	43.2	168.4
98	684	391	938	147.6	63.5	232.4
97	915	535	1,245	205	92.4	318
96	1,180	706	1,592	277.6	131.3	423
95	1,464	892	1,963	366	181.8	548
94	1,787	1,128	2,368	469	244.7	687
93	2,133	1,406	2,782	588	322	843
92	2,445	1,662	3,153	724	414	1,016
91	2,712	1,880	3,470	863	518	1,184
90	2,952	2,096	3,745	1,040	647	1,401
89	3,133	2,304	3,918	1,196	779	1,570
88	3,276	2,490	4,033	1,372	930	1,762
87	3,416	2,642	4,164	1,540	1,088	1,934
86	3,500	2,779	4,202	1,709	1,253	2,102
85	3,529	2,901	4,148	1,858	1,418	2,232
84	3,532	2,998	4,063	1,999	1,583	2,345
83	3,485	3,058	3,921	2,102	1,730	2,403
82	3,376	3,081	3,693	2,197	1,873	2,450
81	3,263	3,096	3,467	2,235	1,982	2,419
80	3,126	3,064	3,230	2,328	2,113	2,474
79	2,932	2,961	2,946	2,358	2,186	2,465
78	2,759	2,895	2,678	2,416	2,272	2,497
77	2,610	2,840	2,442	2,424	2,321	2,470
76	2,449	2,724	2,235	2,444	2,370	2,468
75	2,284	2,592	2,044	2,448	2,404	2,446
74	2,153	2,511	1,867	2,427	2,414	2,401
73	2,051	2,442	1,723	2,393	2,412	2,346
72	1,957	2,374	1,599	2,356	2,400	2,294
71	1,865	2,307	1,479	2,281	2,352	2,203
70	1,778	2,237	1,375	2,250	2,336	2,164
69	1,711	2,168	1,304	2,166	2,269	2,069
68	1,663	2,118	1,253	2,111	2,224	2,007
67	1,602	2,067	1,180	2,050	2,172	1,938
66	1,520	2,006	1,070	1,993	2,121	1,875
65	1,490	2,000	1,009	1,945	2,075	1,824
64	1,462	1,972	974	1,866	2,014	1,726
63	1,369	1,830	921	1,790	1,952	1,636
62	1,264	1,677	857	1,718	1,890	1,553
61	1,206	1,614	799	1,632	1,809	1,463
60	1,134	1,524	742	1,571	1,756	1,398
59	1,056	1,420	688	1,481	1,664	1,318
58	995	1,348	637	1,411	1,599	1,257
57	925	1,258	584	1,341	1,537	1,197
56	847	1,151	532	1,284	1,485	1,146
55	769	1,041	488	1,233	1,440	1,097
54	697	938	447	1,184	1,389	1,052
53	628	845	402	1,140	1,342	1,009
52	560	760	352	1,100	1,298	971
51	500	680	313	1,050	1,245	925
50	450	603	288.7	1,018	1,207	892
49	394	532	251	969	1,146	846
48	341	464	212.8	929	1,096	806
47	297.3	398	192.6	888	1,046	766
46	258.4	339	175.1	850	1,000	731
45	219.6	290.2	146.8	816	958	702
44	189.8	249.5	127.5	779	911	669
43	168.8	218.7	116.5	747	871	642
42	153.4	198.8	106	717	834	617
41	136.8	179	92.1	685	795	592
40	116.2	153	76.9	659	766	571
39	107	136.8	75	627	725	545
38	101.8	128.2	73.1	599	691	522
37	91.6	120.6	60.1	568	655	496
36	86.7	114	57.2	539	619	473
35	82.6	106.1	57.3	512	586	450
34	72.8	95	48.8	481	550	423
33	65.3	87.5	41.3	453	517	400
32	64.7	85.9	42	428	487	379
31	56.5	76.5	35	403	458	356
30	48.8	68.4	27.8	385	436	341
29	50.4	70.4	28.8	363	409	323
28	47.4	67.4	25.9	343	387	303
27	41.7	60.7	21.6	324	365	286.2
26	39.3	56	21.3	304	344	267.1
25	38.3	53.9	21.5	286.4	326	248.2
24	36.4	52.5	19.2	268.5	307	231.1
23	34.2	48.2	19.4	251.5	289	214.4
22	32.9	44.1	21.1	234.1	270.1	198.3
21	33	43.7	21.5	216.1	249.9	182.2
20	33.7	46.4	20.3	200.4	229.9	170.6
19	33.6	48.1	18.3	182.4	209.2	155.3
18	29.2	40.9	17	164.9	188.9	140.6
17	22.5	29.9	14.7	143.2	161.3	124.9
16	16.7	22.3	10.9	122.8	135.4	110
15	13.8	17.7	9.68	106.1	114.9	97.1
14	12.4	15.1	9.53	90.9	97.8	83.9
13	10.8	13.6	7.82	80.4	85.9	74.8
12	8.56	11.3	5.71	73.9	79.4	68.4
11	6.7	8.01	5.31	70.9	76.1	65.5
10	8.44	9.09	7.74	70.4	74.5	66.2
9	10.1	11.3	8.86	72.9	76.9	68.8
8	8.36	10.3	6.34	78.6	83.3	73.8
7	7.08	7.1	7.06	87.5	92.4	82.5
6	7.12	5.85	8.46	98.5	103	94
5	8.09	9.06	7.07	116.6	119.9	113.1
4	9.76	11.8	7.54	153.9	157.9	149.8
3	12.1	12.3	11.9	211.7	213.4	209.9
2	16.1	20.1	12	308	305	311
1	24.7	23.2	26.3	484	463	505
0	271.5	290.3	251.6	3,053	3,402	2,699

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 0 in Zimbabwe. The median age of death is 80.4 in Hungary and 68.8 in Zimbabwe, 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 Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x