Life Expectancy in Hungary vs Morocco (1950-2026)

Life expectancy by current age

Chart Table

Hungary

Male

Female

Morocco

Male

Female

1x

Current age, years	Total life expectancy, years
	Hungary			Morocco
	Average	Male	Female	Average	Male	Female
100	102.1	102	102.2	101.9	101.7	102
99	101.2	101.1	101.3	101.1	100.8	101.1
98	100.3	100.2	100.4	100.2	99.9	100.3
97	99.5	99.4	99.5	99.3	99	99.4
96	98.6	98.5	98.7	98.4	98.1	98.6
95	97.8	97.7	97.9	97.6	97.2	97.7
94	97	96.9	97.1	96.8	96.4	96.9
93	96.3	96.1	96.3	95.9	95.5	96.1
92	95.5	95.3	95.6	95.1	94.7	95.3
91	94.8	94.5	94.8	94.3	93.9	94.6
90	94	93.8	94.1	93.6	93.1	93.8
89	93.4	93.1	93.5	92.8	92.3	93.1
88	92.7	92.4	92.8	92.1	91.5	92.4
87	92.1	91.7	92.2	91.4	90.8	91.7
86	91.4	91	91.6	90.7	90.1	91.1
85	90.8	90.4	91	90	89.4	90.5
84	90.2	89.7	90.5	89.4	88.7	89.8
83	89.7	89.1	89.9	88.8	88	89.2
82	89.1	88.5	89.4	88.1	87.4	88.7
81	88.6	87.9	89	87.6	86.8	88.1
80	88.1	87.4	88.5	87	86.2	87.6
79	87.7	86.8	88.1	86.5	85.6	87.1
78	87.2	86.3	87.7	86	85.1	86.7
77	86.8	85.8	87.4	85.5	84.6	86.3
76	86.4	85.3	87	85	84.1	85.9
75	86	84.8	86.7	84.6	83.6	85.5
74	85.6	84.4	86.4	84.2	83.1	85.1
73	85.3	83.9	86.1	83.8	82.7	84.8
72	84.9	83.5	85.9	83.4	82.2	84.5
71	84.6	83	85.6	83	81.8	84.2
70	84.2	82.6	85.4	82.7	81.4	83.9
69	83.9	82.2	85.1	82.4	81.1	83.6
68	83.6	81.8	84.9	82.1	80.7	83.4
67	83.2	81.4	84.6	81.8	80.4	83.1
66	82.9	81	84.4	81.5	80.1	82.9
65	82.6	80.5	84.2	81.2	79.8	82.7
64	82.3	80.1	84	81	79.5	82.5
63	82	79.8	83.8	80.8	79.2	82.3
62	81.7	79.4	83.6	80.6	79	82.2
61	81.4	79.1	83.4	80.4	78.7	82
60	81.2	78.7	83.2	80.2	78.5	81.9
59	80.9	78.4	83	80	78.3	81.8
58	80.7	78.1	82.8	79.8	78.1	81.6
57	80.4	77.8	82.7	79.7	77.9	81.5
56	80.2	77.5	82.5	79.5	77.7	81.4
55	80	77.3	82.4	79.4	77.5	81.3
54	79.8	77.1	82.3	79.2	77.4	81.2
53	79.6	76.8	82.2	79.1	77.2	81.1
52	79.5	76.6	82	79	77.1	81
51	79.3	76.5	82	78.9	77	80.9
50	79.2	76.3	81.9	78.8	76.9	80.8
49	79.1	76.1	81.8	78.7	76.8	80.7
48	79	76	81.7	78.6	76.7	80.6
47	78.9	75.9	81.6	78.5	76.6	80.6
46	78.8	75.8	81.6	78.4	76.5	80.5
45	78.7	75.7	81.5	78.4	76.4	80.4
44	78.6	75.6	81.5	78.3	76.3	80.4
43	78.6	75.5	81.4	78.3	76.3	80.3
42	78.5	75.5	81.4	78.2	76.2	80.3
41	78.5	75.4	81.3	78.1	76.2	80.2
40	78.4	75.4	81.3	78.1	76.1	80.2
39	78.4	75.3	81.3	78.1	76.1	80.1
38	78.3	75.3	81.3	78	76	80.1
37	78.3	75.2	81.2	78	76	80
36	78.3	75.2	81.2	77.9	75.9	80
35	78.2	75.1	81.2	77.9	75.9	80
34	78.2	75.1	81.1	77.8	75.9	79.9
33	78.2	75.1	81.1	77.8	75.8	79.9
32	78.1	75	81.1	77.8	75.8	79.9
31	78.1	75	81.1	77.7	75.8	79.8
30	78.1	75	81.1	77.7	75.7	79.8
29	78.1	74.9	81.1	77.7	75.7	79.8
28	78	74.9	81	77.6	75.6	79.7
27	78	74.9	81	77.6	75.6	79.7
26	78	74.8	81	77.6	75.6	79.7
25	78	74.8	81	77.5	75.5	79.6
24	78	74.8	81	77.5	75.5	79.6
23	77.9	74.8	81	77.5	75.5	79.6
22	77.9	74.7	81	77.4	75.4	79.6
21	77.9	74.7	81	77.4	75.4	79.5
20	77.9	74.7	81	77.4	75.3	79.5
19	77.9	74.7	80.9	77.3	75.3	79.5
18	77.8	74.6	80.9	77.3	75.3	79.4
17	77.8	74.6	80.9	77.3	75.2	79.4
16	77.8	74.6	80.9	77.2	75.2	79.4
15	77.8	74.6	80.9	77.2	75.2	79.4
14	77.8	74.6	80.9	77.2	75.1	79.4
13	77.8	74.6	80.9	77.2	75.1	79.4
12	77.8	74.6	80.9	77.2	75.1	79.3
11	77.8	74.6	80.9	77.2	75.1	79.3
10	77.8	74.6	80.9	77.1	75.1	79.3
9	77.8	74.5	80.9	77.1	75	79.3
8	77.8	74.5	80.9	77.1	75	79.3
7	77.8	74.5	80.9	77.1	75	79.3
6	77.8	74.5	80.9	77.1	75	79.2
5	77.8	74.5	80.9	77	75	79.2
4	77.7	74.5	80.9	77	74.9	79.2
3	77.7	74.5	80.8	77	74.9	79.1
2	77.7	74.5	80.8	76.9	74.8	79.1
1	77.7	74.5	80.8	76.8	74.8	79
0	77.5	74.3	80.6	75.9	73.7	78.1

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 77.7 in Morocco, rising to 82.6 and 81.2 at 65, and to 88.1 and 87 at 80 — higher than the 77.5 and 75.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Hungary

Male

Female

Morocco

Male

Female

1x

Age	Survival probability
	Hungary			Morocco
	Average	Male	Female	Average	Male	Female
100	0.94%	0.51%	1.3%	0.44%	0.14%	0.78%
99	1.43%	0.79%	1.99%	0.69%	0.25%	1.2%
98	2.12%	1.18%	2.92%	1.06%	0.41%	1.79%
97	3.03%	1.71%	4.17%	1.57%	0.65%	2.59%
96	4.21%	2.42%	5.76%	2.27%	1.02%	3.65%
95	5.67%	3.31%	7.72%	3.19%	1.53%	5.01%
94	7.46%	4.44%	10.1%	4.37%	2.23%	6.69%
93	9.59%	5.84%	12.9%	5.84%	3.16%	8.72%
92	12%	7.51%	16%	7.63%	4.36%	11.1%
91	14.8%	9.39%	19.5%	9.74%	5.86%	13.9%
90	17.7%	11.5%	23.2%	12.2%	7.68%	16.9%
89	20.8%	13.8%	27.2%	14.9%	9.83%	20.3%
88	24.1%	16.3%	31.2%	18%	12.3%	23.9%
87	27.5%	18.9%	35.4%	21.3%	15.1%	27.7%
86	31%	21.7%	39.6%	24.8%	18.2%	31.7%
85	34.6%	24.6%	43.7%	28.4%	21.4%	35.8%
84	38.1%	27.6%	47.8%	32.2%	24.9%	39.9%
83	41.6%	30.7%	51.7%	36%	28.5%	44%
82	44.9%	33.7%	55.4%	39.9%	32.2%	48.1%
81	48.2%	36.8%	58.9%	43.7%	36%	52%
80	51.3%	39.9%	62.1%	47.4%	39.7%	55.7%
79	54.3%	42.9%	65%	50.9%	43.3%	59.2%
78	57%	45.7%	67.7%	54.3%	46.9%	62.4%
77	59.6%	48.6%	70.1%	57.6%	50.3%	65.5%
76	62.1%	51.3%	72.4%	60.7%	53.7%	68.3%
75	64.4%	53.9%	74.4%	63.7%	56.9%	70.9%
74	66.5%	56.4%	76.3%	66.4%	60%	73.3%
73	68.6%	58.9%	78%	69%	62.9%	75.5%
72	70.5%	61.2%	79.6%	71.5%	65.7%	77.6%
71	72.4%	63.5%	81.1%	73.7%	68.3%	79.4%
70	74.2%	65.8%	82.5%	75.8%	70.7%	81.1%
69	75.9%	67.9%	83.8%	77.7%	73%	82.7%
68	77.5%	70.1%	85%	79.5%	75.1%	84.1%
67	79.2%	72.1%	86.2%	81.1%	77%	85.3%
66	80.7%	74.1%	87.3%	82.6%	78.8%	86.4%
65	82.2%	76.1%	88.3%	83.9%	80.5%	87.4%
64	83.6%	78.1%	89.3%	85.1%	82%	88.3%
63	85%	79.9%	90.2%	86.3%	83.4%	89.1%
62	86.3%	81.6%	91%	87.3%	84.7%	89.9%
61	87.5%	83.2%	91.8%	88.2%	85.9%	90.5%
60	88.6%	84.8%	92.6%	89.1%	87%	91.1%
59	89.7%	86.2%	93.3%	89.8%	88%	91.7%
58	90.6%	87.5%	93.9%	90.6%	88.9%	92.2%
57	91.6%	88.8%	94.5%	91.2%	89.8%	92.7%
56	92.4%	89.9%	95%	91.8%	90.5%	93.1%
55	93.2%	91%	95.5%	92.4%	91.2%	93.5%
54	93.9%	91.9%	96%	92.9%	91.8%	93.9%
53	94.5%	92.8%	96.4%	93.3%	92.4%	94.3%
52	95.1%	93.5%	96.7%	93.7%	92.9%	94.6%
51	95.6%	94.2%	97%	94.1%	93.3%	94.9%
50	96%	94.8%	97.3%	94.4%	93.7%	95.1%
49	96.4%	95.3%	97.6%	94.7%	94.1%	95.4%
48	96.8%	95.8%	97.8%	95%	94.4%	95.6%
47	97.1%	96.2%	98%	95.2%	94.7%	95.8%
46	97.3%	96.5%	98.1%	95.5%	95%	96%
45	97.5%	96.8%	98.3%	95.7%	95.2%	96.2%
44	97.7%	97.1%	98.4%	95.8%	95.4%	96.3%
43	97.9%	97.3%	98.5%	96%	95.6%	96.5%
42	98%	97.5%	98.6%	96.2%	95.7%	96.6%
41	98.2%	97.7%	98.7%	96.3%	95.9%	96.7%
40	98.3%	97.8%	98.8%	96.4%	96%	96.8%
39	98.4%	98%	98.9%	96.5%	96.2%	96.9%
38	98.5%	98.1%	99%	96.6%	96.3%	97%
37	98.6%	98.2%	99%	96.7%	96.4%	97.1%
36	98.7%	98.3%	99.1%	96.8%	96.5%	97.2%
35	98.8%	98.4%	99.1%	96.9%	96.6%	97.3%
34	98.8%	98.5%	99.2%	97%	96.7%	97.4%
33	98.9%	98.6%	99.2%	97.1%	96.8%	97.5%
32	99%	98.7%	99.3%	97.2%	96.8%	97.5%
31	99%	98.8%	99.3%	97.2%	96.9%	97.6%
30	99.1%	98.8%	99.3%	97.3%	97%	97.7%
29	99.1%	98.9%	99.4%	97.4%	97.1%	97.7%
28	99.2%	99%	99.4%	97.5%	97.1%	97.8%
27	99.2%	99%	99.4%	97.5%	97.2%	97.8%
26	99.3%	99.1%	99.4%	97.6%	97.3%	97.9%
25	99.3%	99.1%	99.4%	97.6%	97.4%	98%
24	99.3%	99.2%	99.5%	97.7%	97.4%	98%
23	99.4%	99.2%	99.5%	97.8%	97.5%	98.1%
22	99.4%	99.3%	99.5%	97.8%	97.6%	98.1%
21	99.4%	99.3%	99.5%	97.9%	97.7%	98.2%
20	99.5%	99.4%	99.5%	98%	97.7%	98.2%
19	99.5%	99.4%	99.6%	98%	97.8%	98.2%
18	99.5%	99.5%	99.6%	98.1%	97.9%	98.3%
17	99.5%	99.5%	99.6%	98.1%	97.9%	98.3%
16	99.6%	99.5%	99.6%	98.2%	98%	98.3%
15	99.6%	99.5%	99.6%	98.2%	98%	98.4%
14	99.6%	99.6%	99.6%	98.2%	98.1%	98.4%
13	99.6%	99.6%	99.6%	98.2%	98.1%	98.4%
12	99.6%	99.6%	99.6%	98.3%	98.1%	98.4%
11	99.6%	99.6%	99.6%	98.3%	98.1%	98.5%
10	99.6%	99.6%	99.7%	98.3%	98.2%	98.5%
9	99.6%	99.6%	99.7%	98.3%	98.2%	98.5%
8	99.6%	99.6%	99.7%	98.4%	98.2%	98.5%
7	99.7%	99.6%	99.7%	98.4%	98.3%	98.6%
6	99.7%	99.6%	99.7%	98.4%	98.3%	98.6%
5	99.7%	99.6%	99.7%	98.5%	98.3%	98.6%
4	99.7%	99.7%	99.7%	98.5%	98.4%	98.7%
3	99.7%	99.7%	99.7%	98.6%	98.4%	98.7%
2	99.7%	99.7%	99.7%	98.6%	98.5%	98.8%
1	99.7%	99.7%	99.7%	98.7%	98.6%	98.9%

This chart shows the odds of living to each age from birth. 88.6% of newborns in Hungary and 89.1% in Morocco are expected to live past 60, 74.2% and 75.8% past 70, 51.3% and 47.4% past 80, and only 17.7% and 12.2% 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

Morocco

Male

Female

1x

Age	Probability of dying
	Hungary			Morocco
	Average	Male	Female	Average	Male	Female
100	36.8%	37.4%	36.6%	38.4%	43.7%	37%
99	34.6%	35.3%	34.4%	36.5%	41.6%	35%
98	32.3%	33.2%	32.1%	34.6%	39.6%	33%
97	30.2%	31.2%	29.9%	32.6%	37.6%	31%
96	28%	29.2%	27.6%	30.7%	35.5%	29%
95	25.8%	26.9%	25.4%	28.8%	33.5%	27%
94	24%	25.4%	23.5%	27%	31.5%	25.2%
93	22.2%	24.1%	21.6%	25.2%	29.5%	23.3%
92	20.3%	22.1%	19.7%	23.4%	27.5%	21.5%
91	18.4%	20%	17.8%	21.7%	25.6%	19.8%
90	16.7%	18.3%	16.1%	20%	23.7%	18.1%
89	15%	16.7%	14.4%	18.4%	21.9%	16.6%
88	13.6%	15.3%	12.9%	16.9%	20.1%	15.1%
87	12.4%	14%	11.8%	15.5%	18.4%	13.8%
86	11.3%	12.8%	10.6%	14.1%	16.9%	12.5%
85	10.2%	11.8%	9.49%	12.9%	15.4%	11.4%
84	9.27%	10.9%	8.51%	11.7%	14%	10.3%
83	8.38%	9.98%	7.59%	10.6%	12.7%	9.34%
82	7.51%	9.13%	6.67%	9.63%	11.5%	8.39%
81	6.77%	8.41%	5.89%	8.67%	10.4%	7.5%
80	6.09%	7.68%	5.2%	7.79%	9.34%	6.67%
79	5.4%	6.91%	4.53%	7%	8.43%	5.92%
78	4.84%	6.33%	3.95%	6.31%	7.62%	5.24%
77	4.38%	5.85%	3.48%	5.68%	6.88%	4.65%
76	3.94%	5.31%	3.09%	5.11%	6.23%	4.13%
75	3.55%	4.81%	2.75%	4.61%	5.64%	3.68%
74	3.24%	4.45%	2.45%	4.16%	5.12%	3.28%
73	2.99%	4.15%	2.21%	3.77%	4.64%	2.94%
72	2.77%	3.88%	2.01%	3.4%	4.21%	2.62%
71	2.58%	3.63%	1.82%	3.07%	3.81%	2.34%
70	2.4%	3.4%	1.67%	2.76%	3.45%	2.09%
69	2.25%	3.19%	1.56%	2.48%	3.12%	1.86%
68	2.14%	3.02%	1.47%	2.22%	2.81%	1.65%
67	2.02%	2.87%	1.37%	1.99%	2.53%	1.46%
66	1.88%	2.71%	1.23%	1.78%	2.28%	1.29%
65	1.81%	2.63%	1.14%	1.59%	2.06%	1.15%
64	1.75%	2.53%	1.09%	1.43%	1.86%	1.02%
63	1.61%	2.29%	1.02%	1.29%	1.68%	0.91%
62	1.47%	2.05%	0.94%	1.16%	1.53%	0.82%
61	1.38%	1.94%	0.87%	1.06%	1.39%	0.74%
60	1.28%	1.8%	0.8%	0.96%	1.27%	0.67%
59	1.18%	1.65%	0.74%	0.88%	1.15%	0.62%
58	1.1%	1.54%	0.68%	0.8%	1.04%	0.56%
57	1.01%	1.42%	0.62%	0.72%	0.94%	0.51%
56	0.92%	1.28%	0.56%	0.65%	0.84%	0.47%
55	0.83%	1.14%	0.51%	0.59%	0.75%	0.43%
54	0.74%	1.02%	0.47%	0.53%	0.66%	0.39%
53	0.66%	0.91%	0.42%	0.47%	0.59%	0.36%
52	0.59%	0.81%	0.36%	0.43%	0.53%	0.33%
51	0.52%	0.72%	0.32%	0.39%	0.47%	0.3%
50	0.47%	0.64%	0.3%	0.35%	0.43%	0.28%
49	0.41%	0.56%	0.26%	0.32%	0.38%	0.26%
48	0.35%	0.48%	0.22%	0.29%	0.35%	0.24%
47	0.31%	0.41%	0.2%	0.26%	0.31%	0.22%
46	0.27%	0.35%	0.18%	0.24%	0.28%	0.2%
45	0.23%	0.3%	0.15%	0.21%	0.24%	0.18%
44	0.19%	0.26%	0.13%	0.19%	0.22%	0.16%
43	0.17%	0.22%	0.12%	0.17%	0.19%	0.15%
42	0.16%	0.2%	0.11%	0.16%	0.17%	0.14%
41	0.14%	0.18%	0.09%	0.14%	0.16%	0.13%
40	0.12%	0.16%	0.08%	0.13%	0.14%	0.12%
39	0.11%	0.14%	0.08%	0.12%	0.13%	0.11%
38	0.1%	0.13%	0.07%	0.11%	0.12%	0.1%
37	0.09%	0.12%	0.06%	0.1%	0.11%	0.1%
36	0.09%	0.12%	0.06%	0.1%	0.1%	0.09%
35	0.08%	0.11%	0.06%	0.09%	0.1%	0.09%
34	0.07%	0.1%	0.05%	0.09%	0.09%	0.08%
33	0.07%	0.09%	0.04%	0.08%	0.09%	0.08%
32	0.07%	0.09%	0.04%	0.08%	0.08%	0.07%
31	0.06%	0.08%	0.04%	0.08%	0.08%	0.07%
30	0.05%	0.07%	0.03%	0.07%	0.08%	0.07%
29	0.05%	0.07%	0.03%	0.07%	0.08%	0.06%
28	0.05%	0.07%	0.03%	0.07%	0.08%	0.06%
27	0.04%	0.06%	0.02%	0.07%	0.08%	0.06%
26	0.04%	0.06%	0.02%	0.07%	0.08%	0.06%
25	0.04%	0.05%	0.02%	0.07%	0.08%	0.06%
24	0.04%	0.05%	0.02%	0.07%	0.08%	0.05%
23	0.03%	0.05%	0.02%	0.07%	0.08%	0.05%
22	0.03%	0.04%	0.02%	0.06%	0.08%	0.05%
21	0.03%	0.04%	0.02%	0.06%	0.08%	0.05%
20	0.03%	0.05%	0.02%	0.06%	0.08%	0.04%
19	0.03%	0.05%	0.02%	0.06%	0.07%	0.04%
18	0.03%	0.04%	0.02%	0.05%	0.06%	0.04%
17	0.02%	0.03%	0.01%	0.05%	0.06%	0.04%
16	0.02%	0.02%	0.01%	0.04%	0.05%	0.03%
15	0.01%	0.02%	0.01%	0.04%	0.04%	0.03%
14	0.01%	0.02%	0.01%	0.03%	0.04%	0.03%
13	0.01%	0.01%	0.008%	0.03%	0.03%	0.02%
12	0.009%	0.01%	0.006%	0.03%	0.03%	0.02%
11	0.007%	0.008%	0.005%	0.03%	0.03%	0.02%
10	0.008%	0.009%	0.008%	0.03%	0.03%	0.02%
9	0.01%	0.01%	0.009%	0.03%	0.03%	0.02%
8	0.008%	0.01%	0.006%	0.03%	0.03%	0.03%
7	0.007%	0.007%	0.007%	0.03%	0.03%	0.03%
6	0.007%	0.006%	0.008%	0.03%	0.04%	0.03%
5	0.008%	0.009%	0.007%	0.04%	0.04%	0.04%
4	0.01%	0.01%	0.008%	0.05%	0.05%	0.04%
3	0.01%	0.01%	0.01%	0.05%	0.05%	0.05%
2	0.02%	0.02%	0.01%	0.06%	0.06%	0.07%
1	0.02%	0.02%	0.03%	0.08%	0.07%	0.09%
0	0.27%	0.29%	0.25%	1.28%	1.44%	1.12%

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

The annual chance of dying is 0.27% in the birth year in Hungary and 1.28% in Morocco, 0.05% vs 0.07% at age 30, 1.28% vs 0.96% at 60, and 6.09% vs 7.79% at 80.

Death rate by age in Hungary vs Morocco

Chart Table

Hungary

Male

Female

Morocco

Male

Female

1x

Age	Death rate
	Hungary			Morocco
	Total	Male	Female	Total	Male	Female
100	217.8	97.2	320	50.1	0	144.3
99	495	277.8	683	252.8	102.7	420
98	684	391	938	366	161.9	590
97	915	535	1,245	513	246	803
96	1,180	706	1,592	697	361	1,059
95	1,464	892	1,963	920	511	1,354
94	1,787	1,128	2,368	1,180	702	1,683
93	2,133	1,406	2,782	1,472	932	2,034
92	2,445	1,662	3,153	1,787	1,200	2,392
91	2,712	1,880	3,470	2,115	1,500	2,742
90	2,952	2,096	3,745	2,441	1,821	3,069
89	3,133	2,304	3,918	2,751	2,151	3,362
88	3,276	2,490	4,033	3,037	2,477	3,614
87	3,416	2,642	4,164	3,291	2,784	3,820
86	3,500	2,779	4,202	3,504	3,060	3,978
85	3,529	2,901	4,148	3,665	3,294	4,082
84	3,532	2,998	4,063	3,773	3,480	4,128
83	3,485	3,058	3,921	3,833	3,613	4,112
82	3,376	3,081	3,693	3,839	3,692	4,033
81	3,263	3,096	3,467	3,787	3,721	3,897
80	3,126	3,064	3,230	3,689	3,706	3,714
79	2,932	2,961	2,946	3,565	3,653	3,502
78	2,759	2,895	2,678	3,427	3,570	3,274
77	2,610	2,840	2,442	3,272	3,466	3,044
76	2,449	2,724	2,235	3,106	3,345	2,821
75	2,284	2,592	2,044	2,935	3,212	2,608
74	2,153	2,511	1,867	2,766	3,070	2,408
73	2,051	2,442	1,723	2,600	2,920	2,217
72	1,957	2,374	1,599	2,433	2,764	2,035
71	1,865	2,307	1,479	2,264	2,603	1,861
70	1,778	2,237	1,375	2,094	2,439	1,694
69	1,711	2,168	1,304	1,929	2,274	1,535
68	1,663	2,118	1,253	1,768	2,111	1,385
67	1,602	2,067	1,180	1,615	1,952	1,246
66	1,520	2,006	1,070	1,471	1,800	1,117
65	1,490	2,000	1,009	1,336	1,656	1,001
64	1,462	1,972	974	1,215	1,524	900
63	1,369	1,830	921	1,109	1,403	811
62	1,264	1,677	857	1,015	1,294	735
61	1,206	1,614	799	932	1,194	671
60	1,134	1,524	742	856	1,102	614
59	1,056	1,420	688	788	1,013	565
58	995	1,348	637	723	926	519
57	925	1,258	584	661	841	477
56	847	1,151	532	600	759	438
55	769	1,041	488	542	680	401
54	697	938	447	490	609	368
53	628	845	402	443	546	338
52	560	760	352	401	490	312
51	500	680	313	365	442	287.9
50	450	603	288.7	333	400	266.3
49	394	532	251	304	361	246.1
48	341	464	212.8	276.5	326	226.9
47	297.3	398	192.6	250.8	292.7	208.2
46	258.4	339	175.1	226.3	261.7	190.4
45	219.6	290.2	146.8	203.5	233.1	173.5
44	189.8	249.5	127.5	183	207.4	158.2
43	168.8	218.7	116.5	164.9	184.9	144.5
42	153.4	198.8	106	149.3	165.7	132.7
41	136.8	179	92.1	136.2	149.5	122.6
40	116.2	153	76.9	125	135.9	114
39	107	136.8	75	115.6	124.6	106.4
38	101.8	128.2	73.1	107.6	115.1	99.8
37	91.6	120.6	60.1	100.6	107.2	93.7
36	86.7	114	57.2	94.5	100.5	88.2
35	82.6	106.1	57.3	89.1	94.8	83.2
34	72.8	95	48.8	84.4	89.9	78.6
33	65.3	87.5	41.3	80.2	85.7	74.5
32	64.7	85.9	42	76.7	82	71
31	56.5	76.5	35	73.6	79	67.9
30	48.8	68.4	27.8	71	76.5	65.2
29	50.4	70.4	28.8	68.8	74.7	62.7
28	47.4	67.4	25.9	67.2	73.6	60.4
27	41.7	60.7	21.6	65.9	73.2	58.2
26	39.3	56	21.3	65.1	73.5	56.1
25	38.3	53.9	21.5	64.5	74.3	54.1
24	36.4	52.5	19.2	64.1	75.4	52.1
23	34.2	48.2	19.4	63.6	76.4	50.1
22	32.9	44.1	21.1	62.9	76.9	48.2
21	33	43.7	21.5	61.6	76.3	46.2
20	33.7	46.4	20.3	59.4	74.1	44
19	33.6	48.1	18.3	56	69.8	41.4
18	29.2	40.9	17	51.4	63.6	38.5
17	22.5	29.9	14.7	45.9	55.9	35.3
16	16.7	22.3	10.9	40.3	48	32
15	13.8	17.7	9.68	35.1	40.9	28.9
14	12.4	15.1	9.53	30.8	35.1	26.3
13	10.8	13.6	7.82	27.7	31	24.3
12	8.56	11.3	5.71	25.7	28.4	22.9
11	6.7	8.01	5.31	24.8	27.2	22.3
10	8.44	9.09	7.74	24.9	27.3	22.3
9	10.1	11.3	8.86	25.9	28.5	23.1
8	8.36	10.3	6.34	27.7	30.5	24.7
7	7.08	7.1	7.06	30.3	33.5	27
6	7.12	5.85	8.46	33.9	37.1	30.5
5	8.09	9.06	7.07	38.6	41.5	35.6
4	9.76	11.8	7.54	44.6	46.5	42.6
3	12.1	12.3	11.9	52.3	52.3	52.3
2	16.1	20.1	12	62.7	59.6	65.9
1	24.7	23.2	26.3	78.7	70.8	86.9
0	271.5	290.3	251.6	1,282	1,435	1,121

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 82 in Morocco. The median age of death is 80.4 in Hungary and 79.3 in Morocco, 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 Morocco more than their death rates.

Life expectancy in other countries

+ -

1x