Life Expectancy in Hungary vs Kenya (1950-2026)

Life expectancy by current age

Chart Table

Hungary

Male

Female

Kenya

Male

Female

1x

Current age, years	Total life expectancy, years
	Hungary			Kenya
	Average	Male	Female	Average	Male	Female
100	102.1	102	102.2	102.2	102	102.2
99	101.2	101.1	101.3	101.3	101.1	101.4
98	100.3	100.2	100.4	100.4	100.2	100.5
97	99.5	99.4	99.5	99.5	99.4	99.6
96	98.6	98.5	98.7	98.7	98.5	98.8
95	97.8	97.7	97.9	97.8	97.6	97.9
94	97	96.9	97.1	97	96.8	97.1
93	96.3	96.1	96.3	96.2	95.9	96.3
92	95.5	95.3	95.6	95.4	95.1	95.5
91	94.8	94.5	94.8	94.6	94.3	94.7
90	94	93.8	94.1	93.8	93.5	94
89	93.4	93.1	93.5	93	92.7	93.2
88	92.7	92.4	92.8	92.3	91.9	92.5
87	92.1	91.7	92.2	91.6	91.1	91.8
86	91.4	91	91.6	90.8	90.4	91.1
85	90.8	90.4	91	90.1	89.7	90.4
84	90.2	89.7	90.5	89.5	89	89.7
83	89.7	89.1	89.9	88.8	88.3	89.1
82	89.1	88.5	89.4	88.2	87.6	88.5
81	88.6	87.9	89	87.6	87	87.9
80	88.1	87.4	88.5	87	86.3	87.4
79	87.7	86.8	88.1	86.4	85.7	86.8
78	87.2	86.3	87.7	85.8	85.1	86.3
77	86.8	85.8	87.4	85.2	84.5	85.7
76	86.4	85.3	87	84.6	83.9	85.2
75	86	84.8	86.7	84.1	83.3	84.7
74	85.6	84.4	86.4	83.6	82.8	84.2
73	85.3	83.9	86.1	83	82.2	83.7
72	84.9	83.5	85.9	82.5	81.6	83.2
71	84.6	83	85.6	82	81.1	82.7
70	84.2	82.6	85.4	81.5	80.5	82.2
69	83.9	82.2	85.1	81	80	81.8
68	83.6	81.8	84.9	80.5	79.5	81.3
67	83.2	81.4	84.6	80	79	80.9
66	82.9	81	84.4	79.5	78.5	80.5
65	82.6	80.5	84.2	79.1	78	80
64	82.3	80.1	84	78.6	77.5	79.6
63	82	79.8	83.8	78.2	77	79.2
62	81.7	79.4	83.6	77.8	76.5	78.9
61	81.4	79.1	83.4	77.4	76.1	78.5
60	81.2	78.7	83.2	77	75.6	78.2
59	80.9	78.4	83	76.6	75.2	77.8
58	80.7	78.1	82.8	76.2	74.8	77.5
57	80.4	77.8	82.7	75.8	74.4	77.2
56	80.2	77.5	82.5	75.5	74	76.9
55	80	77.3	82.4	75.1	73.7	76.6
54	79.8	77.1	82.3	74.8	73.3	76.3
53	79.6	76.8	82.2	74.5	72.9	76
52	79.5	76.6	82	74.1	72.6	75.7
51	79.3	76.5	82	73.8	72.2	75.4
50	79.2	76.3	81.9	73.5	71.9	75.1
49	79.1	76.1	81.8	73.2	71.6	74.9
48	79	76	81.7	72.9	71.2	74.6
47	78.9	75.9	81.6	72.6	70.9	74.4
46	78.8	75.8	81.6	72.4	70.6	74.1
45	78.7	75.7	81.5	72.1	70.3	73.9
44	78.6	75.6	81.5	71.8	70.1	73.6
43	78.6	75.5	81.4	71.6	69.8	73.4
42	78.5	75.5	81.4	71.3	69.5	73.2
41	78.5	75.4	81.3	71.1	69.2	73
40	78.4	75.4	81.3	70.8	69	72.8
39	78.4	75.3	81.3	70.6	68.7	72.5
38	78.3	75.3	81.3	70.4	68.5	72.3
37	78.3	75.2	81.2	70.2	68.3	72.1
36	78.3	75.2	81.2	70	68.1	71.9
35	78.2	75.1	81.2	69.8	67.8	71.8
34	78.2	75.1	81.1	69.6	67.6	71.6
33	78.2	75.1	81.1	69.4	67.5	71.4
32	78.1	75	81.1	69.2	67.3	71.2
31	78.1	75	81.1	69.1	67.1	71.1
30	78.1	75	81.1	68.9	66.9	70.9
29	78.1	74.9	81.1	68.7	66.7	70.8
28	78	74.9	81	68.6	66.6	70.6
27	78	74.9	81	68.4	66.4	70.5
26	78	74.8	81	68.3	66.3	70.4
25	78	74.8	81	68.2	66.1	70.3
24	78	74.8	81	68	66	70.1
23	77.9	74.8	81	67.9	65.9	70
22	77.9	74.7	81	67.8	65.8	69.9
21	77.9	74.7	81	67.7	65.6	69.8
20	77.9	74.7	81	67.6	65.5	69.8
19	77.9	74.7	80.9	67.5	65.4	69.7
18	77.8	74.6	80.9	67.4	65.3	69.6
17	77.8	74.6	80.9	67.4	65.3	69.5
16	77.8	74.6	80.9	67.3	65.2	69.5
15	77.8	74.6	80.9	67.2	65.1	69.4
14	77.8	74.6	80.9	67.2	65.1	69.4
13	77.8	74.6	80.9	67.1	65	69.3
12	77.8	74.6	80.9	67.1	65	69.3
11	77.8	74.6	80.9	67.1	65	69.3
10	77.8	74.6	80.9	67	64.9	69.2
9	77.8	74.5	80.9	67	64.9	69.2
8	77.8	74.5	80.9	66.9	64.8	69.1
7	77.8	74.5	80.9	66.9	64.8	69.1
6	77.8	74.5	80.9	66.8	64.7	69
5	77.8	74.5	80.9	66.8	64.7	69
4	77.7	74.5	80.9	66.7	64.6	68.9
3	77.7	74.5	80.8	66.5	64.4	68.7
2	77.7	74.5	80.8	66.3	64.3	68.5
1	77.7	74.5	80.8	66	64	68.2
0	77.5	74.3	80.6	64.2	62	66.5

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 Hungary can expect to live to 78.1 years compared to 68.9 in Kenya, rising to 82.6 and 79.1 at 65, and to 88.1 and 87 at 80 — higher than the 77.5 and 64.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Hungary

Male

Female

Kenya

Male

Female

1x

Age	Survival probability
	Hungary			Kenya
	Average	Male	Female	Average	Male	Female
100	0.94%	0.51%	1.3%	0.32%	0.15%	0.49%
99	1.43%	0.79%	1.99%	0.48%	0.24%	0.72%
98	2.12%	1.18%	2.92%	0.69%	0.36%	1.03%
97	3.03%	1.71%	4.17%	0.99%	0.53%	1.45%
96	4.21%	2.42%	5.76%	1.38%	0.76%	2%
95	5.67%	3.31%	7.72%	1.89%	1.07%	2.69%
94	7.46%	4.44%	10.1%	2.52%	1.48%	3.54%
93	9.59%	5.84%	12.9%	3.29%	1.99%	4.57%
92	12%	7.51%	16%	4.21%	2.63%	5.77%
91	14.8%	9.39%	19.5%	5.28%	3.39%	7.15%
90	17.7%	11.5%	23.2%	6.54%	4.31%	8.75%
89	20.8%	13.8%	27.2%	7.94%	5.38%	10.5%
88	24.1%	16.3%	31.2%	9.51%	6.6%	12.4%
87	27.5%	18.9%	35.4%	11.2%	7.98%	14.5%
86	31%	21.7%	39.6%	13.1%	9.5%	16.7%
85	34.6%	24.6%	43.7%	15%	11.2%	19.1%
84	38.1%	27.6%	47.8%	17.1%	12.9%	21.5%
83	41.6%	30.7%	51.7%	19.2%	14.8%	23.9%
82	44.9%	33.7%	55.4%	21.4%	16.7%	26.3%
81	48.2%	36.8%	58.9%	23.5%	18.7%	28.6%
80	51.3%	39.9%	62.1%	25.7%	20.7%	31%
79	54.3%	42.9%	65%	27.9%	22.8%	33.3%
78	57%	45.7%	67.7%	30.1%	24.9%	35.7%
77	59.6%	48.6%	70.1%	32.4%	27.1%	38%
76	62.1%	51.3%	72.4%	34.6%	29.2%	40.3%
75	64.4%	53.9%	74.4%	36.9%	31.4%	42.6%
74	66.5%	56.4%	76.3%	39.1%	33.6%	44.8%
73	68.6%	58.9%	78%	41.3%	35.8%	47%
72	70.5%	61.2%	79.6%	43.4%	37.9%	49.2%
71	72.4%	63.5%	81.1%	45.5%	40.1%	51.3%
70	74.2%	65.8%	82.5%	47.6%	42.2%	53.3%
69	75.9%	67.9%	83.8%	49.7%	44.4%	55.3%
68	77.5%	70.1%	85%	51.7%	46.5%	57.2%
67	79.2%	72.1%	86.2%	53.7%	48.5%	59.1%
66	80.7%	74.1%	87.3%	55.6%	50.6%	60.9%
65	82.2%	76.1%	88.3%	57.5%	52.7%	62.7%
64	83.6%	78.1%	89.3%	59.4%	54.7%	64.4%
63	85%	79.9%	90.2%	61.1%	56.6%	66%
62	86.3%	81.6%	91%	62.8%	58.5%	67.5%
61	87.5%	83.2%	91.8%	64.5%	60.3%	68.9%
60	88.6%	84.8%	92.6%	66%	62%	70.3%
59	89.7%	86.2%	93.3%	67.5%	63.7%	71.6%
58	90.6%	87.5%	93.9%	68.9%	65.2%	72.8%
57	91.6%	88.8%	94.5%	70.3%	66.8%	74%
56	92.4%	89.9%	95%	71.6%	68.2%	75.1%
55	93.2%	91%	95.5%	72.8%	69.7%	76.2%
54	93.9%	91.9%	96%	74.1%	71%	77.2%
53	94.5%	92.8%	96.4%	75.2%	72.4%	78.2%
52	95.1%	93.5%	96.7%	76.4%	73.6%	79.2%
51	95.6%	94.2%	97%	77.4%	74.9%	80.1%
50	96%	94.8%	97.3%	78.5%	76.1%	81%
49	96.4%	95.3%	97.6%	79.5%	77.2%	81.9%
48	96.8%	95.8%	97.8%	80.4%	78.3%	82.7%
47	97.1%	96.2%	98%	81.4%	79.3%	83.5%
46	97.3%	96.5%	98.1%	82.2%	80.3%	84.2%
45	97.5%	96.8%	98.3%	83.1%	81.2%	84.9%
44	97.7%	97.1%	98.4%	83.9%	82.1%	85.6%
43	97.9%	97.3%	98.5%	84.6%	83%	86.2%
42	98%	97.5%	98.6%	85.3%	83.8%	86.9%
41	98.2%	97.7%	98.7%	86%	84.6%	87.5%
40	98.3%	97.8%	98.8%	86.7%	85.4%	88.1%
39	98.4%	98%	98.9%	87.4%	86.1%	88.6%
38	98.5%	98.1%	99%	88%	86.8%	89.1%
37	98.6%	98.2%	99%	88.5%	87.4%	89.7%
36	98.7%	98.3%	99.1%	89.1%	88%	90.1%
35	98.8%	98.4%	99.1%	89.6%	88.6%	90.6%
34	98.8%	98.5%	99.2%	90.1%	89.2%	91%
33	98.9%	98.6%	99.2%	90.6%	89.7%	91.5%
32	99%	98.7%	99.3%	91%	90.1%	91.9%
31	99%	98.8%	99.3%	91.4%	90.6%	92.2%
30	99.1%	98.8%	99.3%	91.8%	91%	92.6%
29	99.1%	98.9%	99.4%	92.2%	91.4%	92.9%
28	99.2%	99%	99.4%	92.5%	91.8%	93.2%
27	99.2%	99%	99.4%	92.8%	92.2%	93.5%
26	99.3%	99.1%	99.4%	93.1%	92.5%	93.8%
25	99.3%	99.1%	99.4%	93.4%	92.8%	94%
24	99.3%	99.2%	99.5%	93.7%	93.1%	94.3%
23	99.4%	99.2%	99.5%	94%	93.4%	94.5%
22	99.4%	99.3%	99.5%	94.2%	93.7%	94.7%
21	99.4%	99.3%	99.5%	94.4%	93.9%	94.9%
20	99.5%	99.4%	99.5%	94.6%	94.2%	95%
19	99.5%	99.4%	99.6%	94.8%	94.4%	95.2%
18	99.5%	99.5%	99.6%	94.9%	94.6%	95.3%
17	99.5%	99.5%	99.6%	95.1%	94.7%	95.5%
16	99.6%	99.5%	99.6%	95.2%	94.8%	95.6%
15	99.6%	99.5%	99.6%	95.3%	95%	95.7%
14	99.6%	99.6%	99.6%	95.4%	95%	95.7%
13	99.6%	99.6%	99.6%	95.5%	95.1%	95.8%
12	99.6%	99.6%	99.6%	95.5%	95.2%	95.9%
11	99.6%	99.6%	99.6%	95.6%	95.3%	95.9%
10	99.6%	99.6%	99.7%	95.7%	95.3%	96%
9	99.6%	99.6%	99.7%	95.7%	95.4%	96.1%
8	99.6%	99.6%	99.7%	95.8%	95.5%	96.1%
7	99.7%	99.6%	99.7%	95.9%	95.6%	96.2%
6	99.7%	99.6%	99.7%	96%	95.7%	96.3%
5	99.7%	99.6%	99.7%	96.1%	95.8%	96.4%
4	99.7%	99.7%	99.7%	96.2%	95.9%	96.5%
3	99.7%	99.7%	99.7%	96.4%	96.1%	96.7%
2	99.7%	99.7%	99.7%	96.7%	96.4%	97%
1	99.7%	99.7%	99.7%	97.2%	96.8%	97.5%

This chart shows the odds of living to each age from birth. 88.6% of newborns in Hungary and 66% in Kenya are expected to live past 60, 74.2% and 47.6% past 70, 51.3% and 25.7% past 80, and only 17.7% and 6.54% 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

Kenya

Male

Female

1x

Age	Probability of dying
	Hungary			Kenya
	Average	Male	Female	Average	Male	Female
100	36.8%	37.4%	36.6%	34.7%	36.8%	33.8%
99	34.6%	35.3%	34.4%	33.2%	35.4%	32.3%
98	32.3%	33.2%	32.1%	31.3%	33.6%	30.4%
97	30.2%	31.2%	29.9%	29.9%	32.1%	28.9%
96	28%	29.2%	27.6%	28.3%	30.6%	27.4%
95	25.8%	26.9%	25.4%	26.7%	29.1%	25.8%
94	24%	25.4%	23.5%	25.1%	27.5%	24%
93	22.2%	24.1%	21.6%	23.4%	25.8%	22.4%
92	20.3%	22.1%	19.7%	21.9%	24.3%	20.9%
91	18.4%	20%	17.8%	20.3%	22.6%	19.3%
90	16.7%	18.3%	16.1%	19.2%	21.3%	18.3%
89	15%	16.7%	14.4%	17.7%	19.8%	16.7%
88	13.6%	15.3%	12.9%	16.5%	18.5%	15.5%
87	12.4%	14%	11.8%	15.3%	17.2%	14.3%
86	11.3%	12.8%	10.6%	14.2%	16%	13.3%
85	10.2%	11.8%	9.49%	13%	14.8%	12.2%
84	9.27%	10.9%	8.51%	12%	13.7%	11.1%
83	8.38%	9.98%	7.59%	11%	12.6%	10.1%
82	7.51%	9.13%	6.67%	10.1%	11.6%	9.19%
81	6.77%	8.41%	5.89%	9.13%	10.5%	8.19%
80	6.09%	7.68%	5.2%	8.53%	9.8%	7.62%
79	5.4%	6.91%	4.53%	7.9%	9.07%	7.01%
78	4.84%	6.33%	3.95%	7.44%	8.49%	6.6%
77	4.38%	5.85%	3.48%	6.92%	7.88%	6.11%
76	3.94%	5.31%	3.09%	6.48%	7.39%	5.74%
75	3.55%	4.81%	2.75%	6.05%	6.94%	5.37%
74	3.24%	4.45%	2.45%	5.66%	6.5%	5.01%
73	2.99%	4.15%	2.21%	5.3%	6.1%	4.68%
72	2.77%	3.88%	2.01%	4.99%	5.75%	4.38%
71	2.58%	3.63%	1.82%	4.64%	5.36%	4.06%
70	2.4%	3.4%	1.67%	4.41%	5.1%	3.84%
69	2.25%	3.19%	1.56%	4.11%	4.77%	3.57%
68	2.14%	3.02%	1.47%	3.89%	4.52%	3.36%
67	2.02%	2.87%	1.37%	3.68%	4.29%	3.16%
66	1.88%	2.71%	1.23%	3.5%	4.08%	2.98%
65	1.81%	2.63%	1.14%	3.34%	3.91%	2.83%
64	1.75%	2.53%	1.09%	3.11%	3.65%	2.61%
63	1.61%	2.29%	1.02%	2.9%	3.42%	2.42%
62	1.47%	2.05%	0.94%	2.7%	3.2%	2.25%
61	1.38%	1.94%	0.87%	2.51%	2.97%	2.08%
60	1.28%	1.8%	0.8%	2.36%	2.81%	1.94%
59	1.18%	1.65%	0.74%	2.19%	2.59%	1.81%
58	1.1%	1.54%	0.68%	2.05%	2.43%	1.7%
57	1.01%	1.42%	0.62%	1.93%	2.28%	1.59%
56	0.92%	1.28%	0.56%	1.83%	2.15%	1.51%
55	0.83%	1.14%	0.51%	1.73%	2.05%	1.42%
54	0.74%	1.02%	0.47%	1.64%	1.93%	1.35%
53	0.66%	0.91%	0.42%	1.56%	1.83%	1.28%
52	0.59%	0.81%	0.36%	1.48%	1.74%	1.22%
51	0.52%	0.72%	0.32%	1.4%	1.64%	1.15%
50	0.47%	0.64%	0.3%	1.34%	1.57%	1.1%
49	0.41%	0.56%	0.26%	1.25%	1.47%	1.04%
48	0.35%	0.48%	0.22%	1.19%	1.38%	0.98%
47	0.31%	0.41%	0.2%	1.12%	1.3%	0.93%
46	0.27%	0.35%	0.18%	1.06%	1.23%	0.88%
45	0.23%	0.3%	0.15%	1%	1.17%	0.84%
44	0.19%	0.26%	0.13%	0.95%	1.1%	0.79%
43	0.17%	0.22%	0.12%	0.9%	1.04%	0.76%
42	0.16%	0.2%	0.11%	0.86%	0.98%	0.72%
41	0.14%	0.18%	0.09%	0.81%	0.93%	0.69%
40	0.12%	0.16%	0.08%	0.78%	0.89%	0.66%
39	0.11%	0.14%	0.08%	0.73%	0.83%	0.63%
38	0.1%	0.13%	0.07%	0.69%	0.79%	0.6%
37	0.09%	0.12%	0.06%	0.65%	0.74%	0.57%
36	0.09%	0.12%	0.06%	0.62%	0.69%	0.54%
35	0.08%	0.11%	0.06%	0.58%	0.65%	0.51%
34	0.07%	0.1%	0.05%	0.54%	0.61%	0.48%
33	0.07%	0.09%	0.04%	0.51%	0.57%	0.45%
32	0.07%	0.09%	0.04%	0.48%	0.53%	0.43%
31	0.06%	0.08%	0.04%	0.45%	0.5%	0.4%
30	0.05%	0.07%	0.03%	0.42%	0.47%	0.38%
29	0.05%	0.07%	0.03%	0.4%	0.44%	0.36%
28	0.05%	0.07%	0.03%	0.37%	0.42%	0.33%
27	0.04%	0.06%	0.02%	0.35%	0.39%	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%	0.27%
24	0.04%	0.05%	0.02%	0.29%	0.32%	0.25%
23	0.03%	0.05%	0.02%	0.27%	0.31%	0.23%
22	0.03%	0.04%	0.02%	0.25%	0.28%	0.21%
21	0.03%	0.04%	0.02%	0.23%	0.26%	0.19%
20	0.03%	0.05%	0.02%	0.21%	0.24%	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%	0.11%
15	0.01%	0.02%	0.01%	0.11%	0.12%	0.1%
14	0.01%	0.02%	0.01%	0.09%	0.1%	0.08%
13	0.01%	0.01%	0.008%	0.08%	0.09%	0.08%
12	0.009%	0.01%	0.006%	0.07%	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%	0.07%	0.07%
9	0.01%	0.01%	0.009%	0.07%	0.08%	0.07%
8	0.008%	0.01%	0.006%	0.08%	0.08%	0.07%
7	0.007%	0.007%	0.007%	0.09%	0.09%	0.08%
6	0.007%	0.006%	0.008%	0.1%	0.1%	0.09%
5	0.008%	0.009%	0.007%	0.11%	0.12%	0.11%
4	0.01%	0.01%	0.008%	0.15%	0.15%	0.15%
3	0.01%	0.01%	0.01%	0.21%	0.21%	0.2%
2	0.02%	0.02%	0.01%	0.3%	0.29%	0.3%
1	0.02%	0.02%	0.03%	0.47%	0.44%	0.49%
0	0.27%	0.29%	0.25%	2.82%	3.15%	2.48%

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

The annual chance of dying is 0.27% in the birth year in Hungary and 2.82% in Kenya, 0.05% vs 0.42% at age 30, 1.28% vs 2.36% at 60, and 6.09% vs 8.53% at 80.

Death rate by age in Hungary vs Kenya

Chart Table

Hungary

Male

Female

Kenya

Male

Female

1x

Age	Death rate
	Hungary			Kenya
	Total	Male	Female	Total	Male	Female
100	217.8	97.2	320	53.6	13.4	94.3
99	495	277.8	683	158.4	84	232.3
98	684	391	938	217.5	120.1	313
97	915	535	1,245	295.7	169.3	419
96	1,180	706	1,592	392	232.6	547
95	1,464	892	1,963	505	311	693
94	1,787	1,128	2,368	631	405	851
93	2,133	1,406	2,782	771	514	1,023
92	2,445	1,662	3,153	923	638	1,207
91	2,712	1,880	3,470	1,072	767	1,378
90	2,952	2,096	3,745	1,255	920	1,598
89	3,133	2,304	3,918	1,403	1,066	1,756
88	3,276	2,490	4,033	1,565	1,223	1,933
87	3,416	2,642	4,164	1,711	1,375	2,084
86	3,500	2,779	4,202	1,852	1,523	2,224
85	3,529	2,901	4,148	1,959	1,651	2,316
84	3,532	2,998	4,063	2,058	1,776	2,391
83	3,485	3,058	3,921	2,113	1,864	2,409
82	3,376	3,081	3,693	2,159	1,941	2,415
81	3,263	3,096	3,467	2,146	1,973	2,345
80	3,126	3,064	3,230	2,192	2,033	2,362
79	2,932	2,961	2,946	2,204	2,068	2,335
78	2,759	2,895	2,678	2,244	2,116	2,353
77	2,610	2,840	2,442	2,240	2,132	2,320
76	2,449	2,724	2,235	2,243	2,160	2,313
75	2,284	2,592	2,044	2,230	2,178	2,289
74	2,153	2,511	1,867	2,212	2,183	2,248
73	2,051	2,442	1,723	2,188	2,182	2,200
72	1,957	2,374	1,599	2,166	2,180	2,156
71	1,865	2,307	1,479	2,112	2,148	2,080
70	1,778	2,237	1,375	2,099	2,153	2,048
69	1,711	2,168	1,304	2,043	2,116	1,972
68	1,663	2,118	1,253	2,012	2,102	1,922
67	1,602	2,067	1,180	1,976	2,083	1,867
66	1,520	2,006	1,070	1,944	2,067	1,816
65	1,490	2,000	1,009	1,921	2,060	1,776
64	1,462	1,972	974	1,844	1,998	1,682
63	1,369	1,830	921	1,770	1,935	1,595
62	1,264	1,677	857	1,699	1,873	1,515
61	1,206	1,614	799	1,618	1,792	1,432
60	1,134	1,524	742	1,560	1,739	1,366
59	1,056	1,420	688	1,477	1,648	1,294
58	995	1,348	637	1,416	1,584	1,236
57	925	1,258	584	1,358	1,522	1,180
56	847	1,151	532	1,307	1,469	1,132
55	769	1,041	488	1,262	1,425	1,085
54	697	938	447	1,215	1,373	1,042
53	628	845	402	1,171	1,326	1,002
52	560	760	352	1,132	1,283	967
51	500	680	313	1,084	1,231	924
50	450	603	288.7	1,049	1,193	892
49	394	532	251	997	1,133	850
48	341	464	212.8	954	1,084	811
47	297.3	398	192.6	910	1,034	774
46	258.4	339	175.1	869	988	739
45	219.6	290.2	146.8	834	947	710
44	189.8	249.5	127.5	794	900	679
43	168.8	218.7	116.5	761	861	653
42	153.4	198.8	106	730	824	628
41	136.8	179	92.1	699	786	605
40	116.2	153	76.9	673	757	584
39	107	136.8	75	639	716	559
38	101.8	128.2	73.1	610	682	536
37	91.6	120.6	60.1	580	647	511
36	86.7	114	57.2	549	611	487
35	82.6	106.1	57.3	521	578	464
34	72.8	95	48.8	489	543	436
33	65.3	87.5	41.3	461	510	412
32	64.7	85.9	42	435	481	391
31	56.5	76.5	35	409	452	367
30	48.8	68.4	27.8	390	431	351
29	50.4	70.4	28.8	367	404	332
28	47.4	67.4	25.9	346	382	311
27	41.7	60.7	21.6	326	361	293.5
26	39.3	56	21.3	306	340	273.1
25	38.3	53.9	21.5	287	322	252.9
24	36.4	52.5	19.2	268.3	303	234.5
23	34.2	48.2	19.4	250.7	285.1	216.8
22	32.9	44.1	21.1	232.9	266.5	199.6
21	33	43.7	21.5	214.5	246.6	182.5
20	33.7	46.4	20.3	198.6	226.6	170.5
19	33.6	48.1	18.3	180.2	205.8	154.3
18	29.2	40.9	17	162.4	185.4	139
17	22.5	29.9	14.7	140.3	157.5	122.8
16	16.7	22.3	10.9	119.7	131.5	107.6
15	13.8	17.7	9.68	102.9	111	94.6
14	12.4	15.1	9.53	87.5	93.7	81.2
13	10.8	13.6	7.82	76.9	81.8	72
12	8.56	11.3	5.71	70.4	75.3	65.4
11	6.7	8.01	5.31	67.3	72.1	62.5
10	8.44	9.09	7.74	66.7	70.3	63.1
9	10.1	11.3	8.86	69	72.4	65.5
8	8.36	10.3	6.34	74.2	78.3	70.1
7	7.08	7.1	7.06	82.4	86.7	78.1
6	7.12	5.85	8.46	92.5	96.3	88.6
5	8.09	9.06	7.07	109.2	111.8	106.5
4	9.76	11.8	7.54	144	146.8	141.1
3	12.1	12.3	11.9	197.9	197.7	198
2	16.1	20.1	12	288.3	281.8	294.8
1	24.7	23.2	26.3	454	428	480
0	271.5	290.3	251.6	2,818	3,154	2,478

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

Life expectancy in other countries

+ -

1x