Life Expectancy in Hungary vs Morocco (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Hungary vs Morocco: 77.9 years vs 77.6 at 30, 82.5 vs 81.1 at 65, 88.1 vs 87 at 80 — significantly higher than the 77.3 vs 75.7 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Hungary and Morocco.

Table

Current age, years	Total life expectancy, years
	Hungary			Morocco
	Average	Male	Female	Average	Male	Female
0	77.3	74.1	80.5	75.7	73.5	78
1	77.5	74.3	80.7	76.7	74.6	78.9
2	77.6	74.3	80.7	76.8	74.7	78.9
3	77.6	74.3	80.7	76.8	74.7	79
4	77.6	74.3	80.7	76.9	74.8	79
5	77.6	74.3	80.7	76.9	74.8	79.1
6	77.6	74.3	80.7	76.9	74.8	79.1
7	77.6	74.4	80.7	76.9	74.9	79.1
8	77.6	74.4	80.7	77	74.9	79.1
9	77.6	74.4	80.7	77	74.9	79.2
10	77.6	74.4	80.7	77	74.9	79.2
11	77.6	74.4	80.8	77	75	79.2
12	77.6	74.4	80.8	77	75	79.2
13	77.6	74.4	80.8	77	75	79.2
14	77.7	74.4	80.8	77.1	75	79.2
15	77.7	74.4	80.8	77.1	75	79.3
16	77.7	74.4	80.8	77.1	75.1	79.3
17	77.7	74.4	80.8	77.1	75.1	79.3
18	77.7	74.4	80.8	77.2	75.1	79.3
19	77.7	74.5	80.8	77.2	75.2	79.3
20	77.7	74.5	80.8	77.2	75.2	79.4
21	77.7	74.5	80.8	77.3	75.2	79.4
22	77.8	74.5	80.8	77.3	75.3	79.4
23	77.8	74.6	80.9	77.3	75.3	79.5
24	77.8	74.6	80.9	77.4	75.4	79.5
25	77.8	74.6	80.9	77.4	75.4	79.5
26	77.8	74.7	80.9	77.4	75.4	79.5
27	77.9	74.7	80.9	77.5	75.5	79.6
28	77.9	74.7	80.9	77.5	75.5	79.6
29	77.9	74.7	80.9	77.5	75.6	79.6
30	77.9	74.8	80.9	77.6	75.6	79.7
31	78	74.8	81	77.6	75.6	79.7
32	78	74.8	81	77.6	75.7	79.7
33	78	74.9	81	77.7	75.7	79.8
34	78	74.9	81	77.7	75.7	79.8
35	78.1	75	81	77.8	75.8	79.8
36	78.1	75	81.1	77.8	75.8	79.9
37	78.2	75	81.1	77.8	75.9	79.9
38	78.2	75.1	81.1	77.9	75.9	80
39	78.2	75.1	81.1	77.9	75.9	80
40	78.3	75.2	81.2	78	76	80.1
41	78.3	75.2	81.2	78	76	80.1
42	78.4	75.3	81.3	78.1	76.1	80.2
43	78.4	75.4	81.3	78.1	76.2	80.2
44	78.5	75.4	81.3	78.2	76.2	80.3
45	78.6	75.5	81.4	78.3	76.3	80.3
46	78.6	75.6	81.4	78.3	76.4	80.4
47	78.7	75.7	81.5	78.4	76.5	80.5
48	78.8	75.8	81.6	78.5	76.5	80.5
49	78.9	76	81.6	78.6	76.6	80.6
50	79.1	76.1	81.7	78.7	76.8	80.7
51	79.2	76.3	81.8	78.8	76.9	80.8
52	79.3	76.5	81.9	78.9	77	80.9
53	79.5	76.7	82	79	77.1	81
54	79.7	76.9	82.2	79.1	77.3	81.1
55	79.9	77.1	82.3	79.3	77.4	81.2
56	80.1	77.4	82.4	79.4	77.6	81.3
57	80.3	77.7	82.6	79.5	77.8	81.4
58	80.5	78	82.7	79.7	78	81.5
59	80.8	78.3	82.9	79.9	78.2	81.7
60	81	78.6	83.1	80.1	78.4	81.8
61	81.3	78.9	83.3	80.3	78.6	81.9
62	81.6	79.3	83.5	80.5	78.9	82.1
63	81.9	79.6	83.7	80.7	79.1	82.3
64	82.2	80	83.9	80.9	79.4	82.4
65	82.5	80.4	84.1	81.1	79.7	82.6
66	82.8	80.8	84.3	81.4	80	82.8
67	83.1	81.2	84.5	81.7	80.3	83
68	83.5	81.7	84.8	82	80.6	83.3
69	83.8	82.1	85	82.3	81	83.5
70	84.1	82.5	85.3	82.6	81.4	83.8
71	84.5	82.9	85.5	83	81.8	84.1
72	84.8	83.4	85.8	83.3	82.2	84.4
73	85.2	83.8	86.1	83.7	82.6	84.7
74	85.5	84.3	86.4	84.1	83.1	85.1
75	85.9	84.7	86.7	84.5	83.5	85.4
76	86.3	85.2	87	85	84	85.8
77	86.7	85.7	87.3	85.5	84.5	86.2
78	87.2	86.2	87.7	85.9	85	86.6
79	87.6	86.7	88.1	86.4	85.6	87.1
80	88.1	87.3	88.5	87	86.2	87.6
81	88.6	87.9	88.9	87.5	86.7	88.1
82	89.1	88.5	89.4	88.1	87.4	88.6
83	89.6	89.1	89.9	88.7	88	89.2
84	90.2	89.7	90.4	89.3	88.7	89.8
85	90.8	90.3	91	90	89.3	90.4
86	91.4	91	91.6	90.7	90	91.1
87	92	91.7	92.2	91.3	90.8	91.7
88	92.7	92.3	92.8	92.1	91.5	92.4
89	93.3	93	93.4	92.8	92.3	93.1
90	94	93.8	94.1	93.5	93.1	93.8
91	94.7	94.5	94.8	94.3	93.9	94.6
92	95.5	95.3	95.5	95.1	94.7	95.3
93	96.2	96.1	96.3	95.9	95.5	96.1
94	97	96.9	97.1	96.7	96.4	96.9
95	97.8	97.7	97.9	97.6	97.2	97.7
96	98.6	98.5	98.7	98.4	98.1	98.6
97	99.5	99.4	99.5	99.3	99	99.4
98	100.3	100.2	100.4	100.2	99.9	100.3
99	101.2	101.1	101.3	101	100.8	101.1
100	102.1	101.9	102.2	101.9	101.7	102

Odds of living to age in Hungary vs Morocco

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 88.4% in Hungary and 88.9% in Morocco are expected to survive till at least 60 years old, 73.8% and 75.5% will live to 70 years or older, 50.8% and 46.9% to 80+ years, and 17.3% and 11.9% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Hungary			Morocco
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.7%	98.7%	98.5%	98.8%
2	99.7%	99.7%	99.7%	98.6%	98.4%	98.7%
3	99.7%	99.7%	99.7%	98.5%	98.4%	98.7%
4	99.7%	99.6%	99.7%	98.5%	98.3%	98.6%
5	99.7%	99.6%	99.7%	98.4%	98.3%	98.6%
6	99.6%	99.6%	99.7%	98.4%	98.2%	98.5%
7	99.6%	99.6%	99.7%	98.4%	98.2%	98.5%
8	99.6%	99.6%	99.7%	98.3%	98.2%	98.5%
9	99.6%	99.6%	99.7%	98.3%	98.1%	98.5%
10	99.6%	99.6%	99.6%	98.3%	98.1%	98.4%
11	99.6%	99.6%	99.6%	98.2%	98.1%	98.4%
12	99.6%	99.6%	99.6%	98.2%	98%	98.4%
13	99.6%	99.6%	99.6%	98.2%	98%	98.4%
14	99.6%	99.5%	99.6%	98.2%	98%	98.3%
15	99.6%	99.5%	99.6%	98.1%	98%	98.3%
16	99.6%	99.5%	99.6%	98.1%	97.9%	98.3%
17	99.5%	99.5%	99.6%	98.1%	97.9%	98.3%
18	99.5%	99.5%	99.6%	98%	97.8%	98.2%
19	99.5%	99.4%	99.6%	98%	97.7%	98.2%
20	99.4%	99.4%	99.5%	97.9%	97.7%	98.1%
21	99.4%	99.3%	99.5%	97.8%	97.6%	98.1%
22	99.4%	99.3%	99.5%	97.8%	97.5%	98%
23	99.3%	99.2%	99.5%	97.7%	97.4%	98%
24	99.3%	99.2%	99.4%	97.6%	97.4%	97.9%
25	99.3%	99.1%	99.4%	97.6%	97.3%	97.9%
26	99.2%	99.1%	99.4%	97.5%	97.2%	97.8%
27	99.2%	99%	99.4%	97.4%	97.1%	97.8%
28	99.2%	99%	99.4%	97.4%	97.1%	97.7%
29	99.1%	98.9%	99.3%	97.3%	97%	97.7%
30	99.1%	98.8%	99.3%	97.2%	96.9%	97.6%
31	99%	98.7%	99.3%	97.2%	96.8%	97.5%
32	98.9%	98.7%	99.2%	97.1%	96.8%	97.5%
33	98.9%	98.6%	99.2%	97%	96.7%	97.4%
34	98.8%	98.5%	99.2%	96.9%	96.6%	97.3%
35	98.7%	98.4%	99.1%	96.9%	96.5%	97.2%
36	98.7%	98.3%	99.1%	96.8%	96.4%	97.2%
37	98.6%	98.2%	99%	96.7%	96.3%	97.1%
38	98.5%	98%	98.9%	96.6%	96.2%	97%
39	98.4%	97.9%	98.9%	96.5%	96.1%	96.9%
40	98.3%	97.8%	98.8%	96.3%	95.9%	96.8%
41	98.1%	97.6%	98.7%	96.2%	95.8%	96.6%
42	98%	97.4%	98.6%	96.1%	95.7%	96.5%
43	97.9%	97.2%	98.5%	95.9%	95.5%	96.4%
44	97.7%	97%	98.4%	95.8%	95.3%	96.2%
45	97.5%	96.8%	98.3%	95.6%	95.1%	96.1%
46	97.3%	96.5%	98.1%	95.4%	94.9%	95.9%
47	97%	96.1%	97.9%	95.1%	94.6%	95.7%
48	96.7%	95.7%	97.7%	94.9%	94.3%	95.5%
49	96.4%	95.3%	97.5%	94.6%	94%	95.3%
50	96%	94.7%	97.3%	94.3%	93.6%	95%
51	95.5%	94.1%	97%	94%	93.2%	94.7%
52	95%	93.4%	96.7%	93.6%	92.7%	94.5%
53	94.4%	92.6%	96.3%	93.2%	92.2%	94.1%
54	93.8%	91.8%	95.9%	92.7%	91.7%	93.8%
55	93.1%	90.8%	95.4%	92.2%	91.1%	93.4%
56	92.3%	89.8%	94.9%	91.7%	90.4%	93%
57	91.4%	88.6%	94.4%	91.1%	89.6%	92.6%
58	90.5%	87.3%	93.8%	90.4%	88.8%	92.1%
59	89.5%	85.9%	93.2%	89.7%	87.8%	91.6%
60	88.4%	84.5%	92.5%	88.9%	86.8%	91%
61	87.3%	83%	91.7%	88%	85.7%	90.4%
62	86%	81.3%	90.9%	87.1%	84.5%	89.7%
63	84.8%	79.6%	90%	86%	83.2%	88.9%
64	83.4%	77.8%	89.1%	84.9%	81.8%	88.1%
65	81.9%	75.8%	88.1%	83.7%	80.2%	87.2%
66	80.4%	73.7%	87.1%	82.3%	78.5%	86.2%
67	78.9%	71.7%	86%	80.8%	76.7%	85.1%
68	77.2%	69.6%	84.8%	79.2%	74.7%	83.8%
69	75.5%	67.5%	83.5%	77.4%	72.6%	82.4%
70	73.8%	65.3%	82.2%	75.5%	70.3%	80.8%
71	72%	63%	80.8%	73.3%	67.9%	79.1%
72	70.1%	60.7%	79.3%	71.1%	65.2%	77.2%
73	68.2%	58.3%	77.7%	68.6%	62.5%	75.2%
74	66.1%	55.8%	75.9%	66%	59.5%	73%
75	63.9%	53.3%	74.1%	63.2%	56.4%	70.5%
76	61.6%	50.7%	72%	60.3%	53.2%	67.9%
77	59.1%	48%	69.7%	57.1%	49.9%	65.1%
78	56.5%	45.1%	67.3%	53.9%	46.4%	62%
79	53.7%	42.2%	64.6%	50.4%	42.8%	58.7%
80	50.8%	39.3%	61.6%	46.9%	39.2%	55.2%
81	47.7%	36.2%	58.4%	43.2%	35.5%	51.5%
82	44.4%	33.1%	54.9%	39.4%	31.7%	47.5%
83	41%	30.1%	51.2%	35.6%	28.1%	43.5%
84	37.5%	27%	47.2%	31.7%	24.5%	39.4%
85	34%	24%	43.2%	28%	21%	35.3%
86	30.5%	21.2%	39%	24.3%	17.8%	31.2%
87	27%	18.4%	34.8%	20.9%	14.8%	27.3%
88	23.7%	15.8%	30.7%	17.6%	12%	23.5%
89	20.4%	13.4%	26.7%	14.6%	9.58%	19.9%
90	17.3%	11.1%	22.8%	11.9%	7.47%	16.6%
91	14.4%	9.08%	19.1%	9.48%	5.68%	13.5%
92	11.7%	7.24%	15.7%	7.4%	4.22%	10.8%
93	9.32%	5.63%	12.6%	5.66%	3.05%	8.5%
94	7.23%	4.26%	9.82%	4.22%	2.15%	6.5%
95	5.49%	3.17%	7.5%	3.07%	1.47%	4.86%
96	4.06%	2.31%	5.58%	2.18%	0.97%	3.54%
97	2.92%	1.63%	4.03%	1.51%	0.63%	2.51%
98	2.03%	1.12%	2.82%	1.01%	0.39%	1.73%
99	1.37%	0.75%	1.91%	0.66%	0.24%	1.16%
100	0.9%	0.48%	1.25%	0.42%	0.14%	0.75%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.28% in the birth year in Hungary and 1.33% in Morocco, 0.05% vs 0.07% at age 30, 1.3% vs 0.98% at 60, and 6.17% vs 7.88% at 80.

Below is a graph displaying the probabilities of dying in Hungary compared to Morocco at any given age.

Table

Age	Probability of dying
	Hungary			Morocco
	Average	Male	Female	Average	Male	Female
0	0.28%	0.3%	0.26%	1.33%	1.49%	1.16%
1	0.03%	0.02%	0.03%	0.08%	0.07%	0.09%
2	0.02%	0.02%	0.01%	0.07%	0.06%	0.07%
3	0.01%	0.01%	0.01%	0.05%	0.05%	0.05%
4	0.01%	0.01%	0.008%	0.05%	0.05%	0.04%
5	0.008%	0.009%	0.007%	0.04%	0.04%	0.04%
6	0.007%	0.006%	0.009%	0.04%	0.04%	0.03%
7	0.007%	0.007%	0.007%	0.03%	0.03%	0.03%
8	0.009%	0.01%	0.007%	0.03%	0.03%	0.03%
9	0.01%	0.01%	0.009%	0.03%	0.03%	0.02%
10	0.009%	0.009%	0.008%	0.03%	0.03%	0.02%
11	0.007%	0.008%	0.005%	0.03%	0.03%	0.02%
12	0.009%	0.01%	0.006%	0.03%	0.03%	0.02%
13	0.01%	0.01%	0.008%	0.03%	0.03%	0.03%
14	0.01%	0.02%	0.01%	0.03%	0.04%	0.03%
15	0.01%	0.02%	0.01%	0.04%	0.04%	0.03%
16	0.02%	0.02%	0.01%	0.04%	0.05%	0.03%
17	0.02%	0.03%	0.02%	0.05%	0.06%	0.04%
18	0.03%	0.04%	0.02%	0.05%	0.07%	0.04%
19	0.03%	0.05%	0.02%	0.06%	0.07%	0.04%
20	0.03%	0.05%	0.02%	0.06%	0.08%	0.05%
21	0.03%	0.04%	0.02%	0.06%	0.08%	0.05%
22	0.03%	0.05%	0.02%	0.07%	0.08%	0.05%
23	0.04%	0.05%	0.02%	0.07%	0.08%	0.05%
24	0.04%	0.05%	0.02%	0.07%	0.08%	0.05%
25	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%
27	0.04%	0.06%	0.02%	0.07%	0.08%	0.06%
28	0.05%	0.07%	0.03%	0.07%	0.08%	0.06%
29	0.05%	0.07%	0.03%	0.07%	0.08%	0.07%
30	0.05%	0.07%	0.03%	0.07%	0.08%	0.07%
31	0.06%	0.08%	0.04%	0.08%	0.08%	0.07%
32	0.07%	0.09%	0.04%	0.08%	0.09%	0.07%
33	0.07%	0.09%	0.04%	0.08%	0.09%	0.08%
34	0.07%	0.1%	0.05%	0.09%	0.09%	0.08%
35	0.08%	0.11%	0.06%	0.09%	0.1%	0.09%
36	0.09%	0.12%	0.06%	0.1%	0.11%	0.09%
37	0.09%	0.12%	0.06%	0.11%	0.11%	0.1%
38	0.1%	0.13%	0.07%	0.11%	0.12%	0.1%
39	0.11%	0.14%	0.08%	0.12%	0.13%	0.11%
40	0.12%	0.16%	0.08%	0.13%	0.14%	0.12%
41	0.14%	0.19%	0.09%	0.14%	0.16%	0.13%
42	0.16%	0.21%	0.11%	0.16%	0.18%	0.14%
43	0.17%	0.23%	0.12%	0.17%	0.2%	0.15%
44	0.2%	0.26%	0.13%	0.19%	0.22%	0.17%
45	0.23%	0.3%	0.15%	0.22%	0.25%	0.18%
46	0.27%	0.36%	0.18%	0.24%	0.28%	0.2%
47	0.31%	0.42%	0.2%	0.27%	0.31%	0.22%
48	0.36%	0.49%	0.22%	0.3%	0.35%	0.24%
49	0.42%	0.57%	0.26%	0.33%	0.39%	0.26%
50	0.48%	0.65%	0.3%	0.36%	0.43%	0.28%
51	0.53%	0.73%	0.33%	0.39%	0.48%	0.31%
52	0.6%	0.83%	0.37%	0.43%	0.54%	0.33%
53	0.68%	0.93%	0.42%	0.48%	0.6%	0.36%
54	0.75%	1.04%	0.47%	0.54%	0.67%	0.4%
55	0.84%	1.16%	0.52%	0.6%	0.76%	0.44%
56	0.93%	1.3%	0.57%	0.66%	0.85%	0.48%
57	1.03%	1.44%	0.63%	0.73%	0.95%	0.52%
58	1.12%	1.57%	0.69%	0.81%	1.06%	0.57%
59	1.2%	1.68%	0.75%	0.89%	1.17%	0.63%
60	1.3%	1.83%	0.81%	0.98%	1.28%	0.68%
61	1.4%	1.98%	0.88%	1.07%	1.41%	0.75%
62	1.49%	2.09%	0.96%	1.18%	1.55%	0.83%
63	1.64%	2.33%	1.04%	1.31%	1.71%	0.92%
64	1.78%	2.57%	1.11%	1.45%	1.88%	1.03%
65	1.84%	2.68%	1.16%	1.62%	2.09%	1.16%
66	1.91%	2.75%	1.25%	1.81%	2.32%	1.31%
67	2.06%	2.92%	1.39%	2.02%	2.57%	1.48%
68	2.18%	3.08%	1.5%	2.26%	2.85%	1.67%
69	2.29%	3.25%	1.58%	2.52%	3.16%	1.89%
70	2.44%	3.46%	1.69%	2.81%	3.5%	2.12%
71	2.62%	3.69%	1.85%	3.12%	3.86%	2.38%
72	2.82%	3.94%	2.04%	3.45%	4.27%	2.66%
73	3.03%	4.22%	2.24%	3.81%	4.7%	2.98%
74	3.29%	4.53%	2.49%	4.22%	5.18%	3.33%
75	3.61%	4.89%	2.79%	4.67%	5.71%	3.73%
76	4%	5.39%	3.13%	5.17%	6.31%	4.19%
77	4.44%	5.94%	3.53%	5.73%	6.97%	4.71%
78	4.91%	6.43%	4.01%	6.36%	7.7%	5.31%
79	5.47%	7.01%	4.6%	7.07%	8.53%	5.99%
80	6.17%	7.79%	5.28%	7.88%	9.45%	6.75%
81	6.86%	8.52%	5.97%	8.77%	10.5%	7.59%
82	7.6%	9.26%	6.75%	9.72%	11.6%	8.49%
83	8.48%	10.1%	7.68%	10.7%	12.8%	9.44%
84	9.37%	11%	8.61%	11.9%	14.1%	10.5%
85	10.3%	11.9%	9.6%	13%	15.5%	11.5%
86	11.4%	13%	10.7%	14.3%	17%	12.7%
87	12.5%	14.1%	11.9%	15.6%	18.6%	13.9%
88	13.7%	15.5%	13.1%	17.1%	20.3%	15.2%
89	15.2%	16.9%	14.6%	18.6%	22%	16.7%
90	16.8%	18.4%	16.3%	20.2%	23.9%	18.3%
91	18.5%	20.2%	18%	21.9%	25.8%	19.9%
92	20.5%	22.3%	19.8%	23.6%	27.7%	21.7%
93	22.4%	24.2%	21.8%	25.4%	29.7%	23.5%
94	24.1%	25.6%	23.6%	27.2%	31.6%	25.3%
95	26%	27.1%	25.6%	29%	33.7%	27.2%
96	28.2%	29.4%	27.8%	30.9%	35.7%	29.1%
97	30.3%	31.4%	30%	32.8%	37.7%	31.1%
98	32.5%	33.3%	32.2%	34.7%	39.7%	33.1%
99	34.7%	35.4%	34.5%	36.6%	41.7%	35.1%
100	36.9%	37.5%	36.7%	38.5%	43.8%	37.1%

Death rate by age in Hungary compared to Morocco

In Hungary, the most common age of death is 84, compared to 82 in Morocco. The median age of death is 80.3 in Hungary and 79.1 in Morocco — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Hungary			Morocco
	Total	Male	Female	Total	Male	Female
0	280.4	300	259.4	1,328	1,486	1,164
1	25.5	24	27.1	81.2	73	89.8
2	16.6	20.7	12.3	64.6	61.4	68
3	12.4	12.7	12.2	53.9	53.8	53.9
4	10	12.2	7.73	45.9	47.8	43.9
5	8.3	9.3	7.24	39.7	42.6	36.6
6	7.3	6	8.68	34.8	38.1	31.4
7	7.26	7.28	7.23	31.1	34.3	27.8
8	8.58	10.5	6.5	28.4	31.3	25.3
9	10.4	11.6	9.07	26.5	29.1	23.7
10	8.64	9.32	7.93	25.5	27.9	22.9
11	6.85	8.21	5.43	25.4	27.8	22.8
12	8.77	11.5	5.83	26.3	29	23.4
13	11.1	13.9	7.99	28.3	31.6	24.8
14	12.7	15.5	9.73	31.4	35.7	26.9
15	14.1	18.1	9.87	35.7	41.6	29.5
16	17.1	22.8	11.1	41	48.9	32.6
17	23	30.6	15	46.7	56.8	35.9
18	29.8	41.7	17.3	52.2	64.6	39.2
19	34.3	49	18.7	56.8	70.8	42.1
20	34.4	47.3	20.7	60.3	75.2	44.7
21	33.5	44.6	21.8	62.5	77.4	46.9
22	33.5	44.9	21.4	63.8	78	48.9
23	34.8	49.1	19.7	64.5	77.4	50.8
24	37	53.4	19.5	65	76.4	52.8
25	38.9	54.9	21.9	65.4	75.3	54.8
26	39.8	57	21.6	65.9	74.4	56.9
27	42.4	61.7	21.9	66.7	74.1	59
28	48.2	68.5	26.2	68	74.5	61.2
29	51.1	71.6	29.2	69.7	75.6	63.5
30	49.5	69.5	28.2	71.8	77.4	66
31	57.3	77.7	35.5	74.5	79.9	68.8
32	65.7	87.2	42.6	77.6	83	71.9
33	66.3	88.8	41.9	81.2	86.6	75.5
34	73.8	96.4	49.4	85.4	90.9	79.6
35	83.7	107.6	58	90.2	95.9	84.2
36	88	115.7	58	95.6	101.6	89.3
37	92.9	122.3	60.9	101.8	108.4	94.9
38	103.1	130.1	74.1	108.9	116.5	101
39	108.4	138.7	76	117	126	107.8
40	117.7	155.2	77.9	126.6	137.5	115.4
41	138.5	181.7	93.4	137.9	151.3	124.2
42	155.8	201.8	107.5	151.2	167.7	134.5
43	171.1	222	118.1	167	187.2	146.4
44	192.2	253.2	129.3	185.3	210	160.3
45	223	294.6	148.8	206.2	236	175.9
46	262.4	344	177.6	229.2	264.9	193
47	302	404	195.4	253.9	296.4	211.1
48	346	471	215.9	280	330	230
49	401	540	254.7	308	366	249.6
50	456	613	293	338	405	270
51	508	691	318	370	448	291.9
52	569	772	358	407	497	316
53	638	859	408	449	553	343
54	708	953	454	497	617	373
55	781	1,057	496	550	689	407
56	859	1,169	541	608	768	444
57	938	1,278	593	668	852	484
58	1,010	1,369	647	731	938	527
59	1,072	1,442	698	798	1,025	573
60	1,150	1,547	753	869	1,115	623
61	1,222	1,639	811	945	1,209	680
62	1,280	1,701	870	1,029	1,309	746
63	1,386	1,856	935	1,124	1,419	822
64	1,481	2,000	989	1,234	1,541	912
65	1,507	2,027	1,024	1,356	1,674	1,015
66	1,538	2,031	1,086	1,491	1,818	1,132
67	1,624	2,092	1,197	1,636	1,972	1,261
68	1,683	2,142	1,271	1,790	2,131	1,402
69	1,731	2,191	1,322	1,952	2,295	1,554
70	1,800	2,260	1,393	2,117	2,459	1,713
71	1,885	2,328	1,498	2,285	2,622	1,881
72	1,975	2,393	1,619	2,451	2,783	2,056
73	2,066	2,460	1,743	2,616	2,938	2,239
74	2,174	2,527	1,888	2,784	3,086	2,429
75	2,307	2,605	2,065	2,952	3,225	2,629
76	2,466	2,735	2,256	3,118	3,355	2,842
77	2,627	2,848	2,464	3,276	3,473	3,064
78	2,775	2,899	2,699	3,423	3,573	3,292
79	2,941	2,960	2,967	3,566	3,651	3,517
80	3,133	3,059	3,250	3,693	3,699	3,726
81	3,269	3,085	3,484	3,785	3,709	3,904
82	3,376	3,066	3,706	3,827	3,674	4,035
83	3,480	3,037	3,930	3,818	3,588	4,108
84	3,518	2,971	4,066	3,762	3,450	4,118
85	3,510	2,870	4,145	3,649	3,260	4,065
86	3,476	2,743	4,192	3,478	3,022	3,955
87	3,388	2,602	4,147	3,260	2,744	3,792
88	3,243	2,446	4,008	3,004	2,435	3,580
89	3,099	2,259	3,887	2,715	2,110	3,324
90	2,915	2,049	3,707	2,401	1,782	3,027
91	2,670	1,833	3,427	2,073	1,464	2,699
92	2,401	1,617	3,106	1,747	1,168	2,350
93	2,089	1,364	2,734	1,435	905	1,993
94	1,746	1,091	2,321	1,148	679	1,646
95	1,426	860	1,919	892	494	1,321
96	1,145	679	1,551	674	347	1,030
97	885	513	1,209	494	236.2	779
98	660	373	909	351	155	571
99	476	264.8	660	242.1	98.1	406
100	203.5	89.1	302	43.9	0	134.7

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Hungary and Morocco demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Hungary vs Morocco: Numbers and Trends

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size