Life Expectancy in Hungary vs Philippines (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 the Philippines: 77.9 years vs 73.1 at 30, 82.5 vs 79.2 at 65, 88.1 vs 86.2 at 80 — significantly higher than the 77.3 vs 70.1 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 the Philippines.

Table

Current age, years	Total life expectancy, years
	Hungary			Philippines
	Average	Male	Female	Average	Male	Female
0	77.3	74.1	80.5	70.1	67.1	73.1
1	77.5	74.3	80.7	71.5	68.5	74.4
2	77.6	74.3	80.7	71.6	68.7	74.6
3	77.6	74.3	80.7	71.8	68.9	74.7
4	77.6	74.3	80.7	71.9	68.9	74.8
5	77.6	74.3	80.7	71.9	69	74.9
6	77.6	74.3	80.7	72	69	74.9
7	77.6	74.4	80.7	72	69.1	75
8	77.6	74.4	80.7	72	69.1	75
9	77.6	74.4	80.7	72	69.1	75
10	77.6	74.4	80.7	72.1	69.2	75
11	77.6	74.4	80.8	72.1	69.2	75.1
12	77.6	74.4	80.8	72.1	69.2	75.1
13	77.6	74.4	80.8	72.1	69.2	75.1
14	77.7	74.4	80.8	72.2	69.3	75.1
15	77.7	74.4	80.8	72.2	69.3	75.2
16	77.7	74.4	80.8	72.2	69.3	75.2
17	77.7	74.4	80.8	72.3	69.4	75.2
18	77.7	74.4	80.8	72.3	69.4	75.2
19	77.7	74.5	80.8	72.4	69.5	75.3
20	77.7	74.5	80.8	72.4	69.5	75.3
21	77.7	74.5	80.8	72.5	69.6	75.4
22	77.8	74.5	80.8	72.5	69.7	75.4
23	77.8	74.6	80.9	72.6	69.8	75.4
24	77.8	74.6	80.9	72.6	69.8	75.5
25	77.8	74.6	80.9	72.7	69.9	75.5
26	77.8	74.7	80.9	72.8	70	75.6
27	77.9	74.7	80.9	72.8	70.1	75.6
28	77.9	74.7	80.9	72.9	70.2	75.7
29	77.9	74.7	80.9	73	70.3	75.7
30	77.9	74.8	80.9	73.1	70.4	75.8
31	78	74.8	81	73.1	70.5	75.8
32	78	74.8	81	73.2	70.6	75.9
33	78	74.9	81	73.3	70.7	75.9
34	78	74.9	81	73.4	70.8	76
35	78.1	75	81	73.5	70.9	76
36	78.1	75	81.1	73.5	71	76.1
37	78.2	75	81.1	73.6	71.1	76.2
38	78.2	75.1	81.1	73.7	71.2	76.2
39	78.2	75.1	81.1	73.8	71.3	76.3
40	78.3	75.2	81.2	74	71.5	76.4
41	78.3	75.2	81.2	74.1	71.6	76.5
42	78.4	75.3	81.3	74.2	71.7	76.6
43	78.4	75.4	81.3	74.3	71.9	76.7
44	78.5	75.4	81.3	74.4	72	76.8
45	78.6	75.5	81.4	74.6	72.2	76.9
46	78.6	75.6	81.4	74.7	72.4	77
47	78.7	75.7	81.5	74.9	72.5	77.1
48	78.8	75.8	81.6	75	72.7	77.2
49	78.9	76	81.6	75.2	72.9	77.4
50	79.1	76.1	81.7	75.4	73.2	77.5
51	79.2	76.3	81.8	75.6	73.4	77.6
52	79.3	76.5	81.9	75.8	73.6	77.8
53	79.5	76.7	82	76	73.8	78
54	79.7	76.9	82.2	76.2	74.1	78.1
55	79.9	77.1	82.3	76.4	74.3	78.3
56	80.1	77.4	82.4	76.6	74.6	78.5
57	80.3	77.7	82.6	76.9	74.9	78.6
58	80.5	78	82.7	77.1	75.2	78.8
59	80.8	78.3	82.9	77.4	75.5	79
60	81	78.6	83.1	77.6	75.8	79.2
61	81.3	78.9	83.3	77.9	76.2	79.5
62	81.6	79.3	83.5	78.2	76.5	79.7
63	81.9	79.6	83.7	78.5	76.9	79.9
64	82.2	80	83.9	78.8	77.3	80.2
65	82.5	80.4	84.1	79.2	77.6	80.4
66	82.8	80.8	84.3	79.5	78.1	80.7
67	83.1	81.2	84.5	79.9	78.5	81
68	83.5	81.7	84.8	80.3	78.9	81.3
69	83.8	82.1	85	80.6	79.4	81.6
70	84.1	82.5	85.3	81.1	79.9	81.9
71	84.5	82.9	85.5	81.5	80.4	82.3
72	84.8	83.4	85.8	81.9	80.9	82.7
73	85.2	83.8	86.1	82.4	81.4	83.1
74	85.5	84.3	86.4	82.9	81.9	83.5
75	85.9	84.7	86.7	83.4	82.5	83.9
76	86.3	85.2	87	83.9	83.1	84.4
77	86.7	85.7	87.3	84.5	83.7	84.9
78	87.2	86.2	87.7	85	84.3	85.4
79	87.6	86.7	88.1	85.6	84.9	86
80	88.1	87.3	88.5	86.2	85.6	86.5
81	88.6	87.9	88.9	86.8	86.3	87.1
82	89.1	88.5	89.4	87.5	87	87.7
83	89.6	89.1	89.9	88.1	87.7	88.3
84	90.2	89.7	90.4	88.8	88.4	89
85	90.8	90.3	91	89.5	89.1	89.7
86	91.4	91	91.6	90.2	89.9	90.4
87	92	91.7	92.2	90.9	90.6	91.1
88	92.7	92.3	92.8	91.7	91.4	91.8
89	93.3	93	93.4	92.5	92.2	92.6
90	94	93.8	94.1	93.3	93	93.3
91	94.7	94.5	94.8	94	93.8	94.1
92	95.5	95.3	95.5	94.9	94.7	94.9
93	96.2	96.1	96.3	95.7	95.5	95.7
94	97	96.9	97.1	96.5	96.4	96.5
95	97.8	97.7	97.9	97.3	97.2	97.4
96	98.6	98.5	98.7	98.2	98.1	98.2
97	99.5	99.4	99.5	99.1	99	99.1
98	100.3	100.2	100.4	100	99.9	100
99	101.2	101.1	101.3	100.9	100.8	100.9
100	102.1	101.9	102.2	101.9	101.7	101.9

Odds of living to age in Hungary vs Philippines

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 88.4% in Hungary and 79.5% in the Philippines are expected to survive till at least 60 years old, 73.8% and 62% will live to 70 years or older, 50.8% and 32.8% to 80+ years, and 17.3% and 6.53% 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			Philippines
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.7%	98.1%	97.9%	98.2%
2	99.7%	99.7%	99.7%	97.8%	97.6%	98%
3	99.7%	99.7%	99.7%	97.6%	97.4%	97.8%
4	99.7%	99.6%	99.7%	97.5%	97.3%	97.7%
5	99.7%	99.6%	99.7%	97.4%	97.2%	97.6%
6	99.6%	99.6%	99.7%	97.3%	97.1%	97.5%
7	99.6%	99.6%	99.7%	97.3%	97.1%	97.5%
8	99.6%	99.6%	99.7%	97.2%	97.1%	97.5%
9	99.6%	99.6%	99.7%	97.2%	97%	97.4%
10	99.6%	99.6%	99.6%	97.2%	97%	97.4%
11	99.6%	99.6%	99.6%	97.1%	96.9%	97.4%
12	99.6%	99.6%	99.6%	97.1%	96.9%	97.3%
13	99.6%	99.6%	99.6%	97.1%	96.9%	97.3%
14	99.6%	99.5%	99.6%	97%	96.8%	97.2%
15	99.6%	99.5%	99.6%	97%	96.7%	97.2%
16	99.6%	99.5%	99.6%	96.9%	96.7%	97.2%
17	99.5%	99.5%	99.6%	96.8%	96.6%	97.1%
18	99.5%	99.5%	99.6%	96.8%	96.5%	97%
19	99.5%	99.4%	99.6%	96.7%	96.4%	97%
20	99.4%	99.4%	99.5%	96.6%	96.3%	96.9%
21	99.4%	99.3%	99.5%	96.5%	96.1%	96.9%
22	99.4%	99.3%	99.5%	96.4%	96%	96.8%
23	99.3%	99.2%	99.5%	96.3%	95.8%	96.7%
24	99.3%	99.2%	99.4%	96.1%	95.7%	96.6%
25	99.3%	99.1%	99.4%	96%	95.5%	96.5%
26	99.2%	99.1%	99.4%	95.9%	95.3%	96.5%
27	99.2%	99%	99.4%	95.7%	95.1%	96.4%
28	99.2%	99%	99.4%	95.6%	94.9%	96.3%
29	99.1%	98.9%	99.3%	95.4%	94.7%	96.2%
30	99.1%	98.8%	99.3%	95.3%	94.5%	96.1%
31	99%	98.7%	99.3%	95.1%	94.3%	96%
32	98.9%	98.7%	99.2%	94.9%	94%	95.9%
33	98.9%	98.6%	99.2%	94.7%	93.8%	95.7%
34	98.8%	98.5%	99.2%	94.5%	93.5%	95.6%
35	98.7%	98.4%	99.1%	94.3%	93.3%	95.5%
36	98.7%	98.3%	99.1%	94.1%	93%	95.3%
37	98.6%	98.2%	99%	93.9%	92.7%	95.1%
38	98.5%	98%	98.9%	93.6%	92.3%	94.9%
39	98.4%	97.9%	98.9%	93.3%	92%	94.7%
40	98.3%	97.8%	98.8%	93%	91.6%	94.5%
41	98.1%	97.6%	98.7%	92.7%	91.2%	94.3%
42	98%	97.4%	98.6%	92.4%	90.8%	94.1%
43	97.9%	97.2%	98.5%	92%	90.3%	93.8%
44	97.7%	97%	98.4%	91.7%	89.9%	93.5%
45	97.5%	96.8%	98.3%	91.3%	89.3%	93.2%
46	97.3%	96.5%	98.1%	90.8%	88.8%	92.9%
47	97%	96.1%	97.9%	90.3%	88.2%	92.6%
48	96.7%	95.7%	97.7%	89.8%	87.5%	92.2%
49	96.4%	95.3%	97.5%	89.2%	86.8%	91.8%
50	96%	94.7%	97.3%	88.6%	86%	91.3%
51	95.5%	94.1%	97%	87.9%	85.2%	90.8%
52	95%	93.4%	96.7%	87.2%	84.3%	90.3%
53	94.4%	92.6%	96.3%	86.5%	83.4%	89.7%
54	93.8%	91.8%	95.9%	85.7%	82.3%	89.1%
55	93.1%	90.8%	95.4%	84.8%	81.3%	88.5%
56	92.3%	89.8%	94.9%	83.9%	80.1%	87.8%
57	91.4%	88.6%	94.4%	82.9%	78.9%	87.1%
58	90.5%	87.3%	93.8%	81.8%	77.6%	86.3%
59	89.5%	85.9%	93.2%	80.7%	76.2%	85.5%
60	88.4%	84.5%	92.5%	79.5%	74.7%	84.6%
61	87.3%	83%	91.7%	78.2%	73.1%	83.6%
62	86%	81.3%	90.9%	76.9%	71.4%	82.6%
63	84.8%	79.6%	90%	75.4%	69.6%	81.5%
64	83.4%	77.8%	89.1%	73.9%	67.7%	80.3%
65	81.9%	75.8%	88.1%	72.2%	65.6%	79%
66	80.4%	73.7%	87.1%	70.4%	63.5%	77.6%
67	78.9%	71.7%	86%	68.5%	61.2%	76.1%
68	77.2%	69.6%	84.8%	66.5%	58.9%	74.4%
69	75.5%	67.5%	83.5%	64.3%	56.4%	72.6%
70	73.8%	65.3%	82.2%	62%	53.8%	70.6%
71	72%	63%	80.8%	59.6%	51.1%	68.4%
72	70.1%	60.7%	79.3%	57%	48.3%	66.1%
73	68.2%	58.3%	77.7%	54.3%	45.4%	63.6%
74	66.1%	55.8%	75.9%	51.5%	42.5%	60.9%
75	63.9%	53.3%	74.1%	48.6%	39.5%	58%
76	61.6%	50.7%	72%	45.5%	36.4%	55%
77	59.1%	48%	69.7%	42.4%	33.4%	51.7%
78	56.5%	45.1%	67.3%	39.2%	30.4%	48.4%
79	53.7%	42.2%	64.6%	36%	27.4%	44.9%
80	50.8%	39.3%	61.6%	32.8%	24.5%	41.3%
81	47.7%	36.2%	58.4%	29.6%	21.6%	37.7%
82	44.4%	33.1%	54.9%	26.5%	18.9%	34%
83	41%	30.1%	51.2%	23.4%	16.3%	30.3%
84	37.5%	27%	47.2%	20.4%	13.9%	26.7%
85	34%	24%	43.2%	17.6%	11.7%	23.2%
86	30.5%	21.2%	39%	14.9%	9.67%	19.9%
87	27%	18.4%	34.8%	12.5%	7.87%	16.8%
88	23.7%	15.8%	30.7%	10.2%	6.3%	13.9%
89	20.4%	13.4%	26.7%	8.25%	4.94%	11.3%
90	17.3%	11.1%	22.8%	6.53%	3.81%	9.05%
91	14.4%	9.08%	19.1%	5.07%	2.87%	7.09%
92	11.7%	7.24%	15.7%	3.85%	2.12%	5.43%
93	9.32%	5.63%	12.6%	2.85%	1.52%	4.06%
94	7.23%	4.26%	9.82%	2.07%	1.07%	2.97%
95	5.49%	3.17%	7.5%	1.46%	0.73%	2.11%
96	4.06%	2.31%	5.58%	0.99%	0.49%	1.45%
97	2.92%	1.63%	4.03%	0.66%	0.31%	0.96%
98	2.03%	1.12%	2.82%	0.42%	0.19%	0.62%
99	1.37%	0.75%	1.91%	0.25%	0.12%	0.38%
100	0.9%	0.48%	1.25%	0.15%	0.07%	0.22%

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 1.94% in the Philippines, 0.05% vs 0.18% at age 30, 1.3% vs 1.61% at 60, and 6.17% vs 9.75% at 80.

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

Table

Age	Probability of dying
	Hungary			Philippines
	Average	Male	Female	Average	Male	Female
0	0.28%	0.3%	0.26%	1.94%	2.11%	1.76%
1	0.03%	0.02%	0.03%	0.27%	0.28%	0.26%
2	0.02%	0.02%	0.01%	0.18%	0.19%	0.18%
3	0.01%	0.01%	0.01%	0.13%	0.13%	0.12%
4	0.01%	0.01%	0.008%	0.09%	0.09%	0.09%
5	0.008%	0.009%	0.007%	0.07%	0.07%	0.06%
6	0.007%	0.006%	0.009%	0.05%	0.05%	0.05%
7	0.007%	0.007%	0.007%	0.04%	0.04%	0.04%
8	0.009%	0.01%	0.007%	0.04%	0.04%	0.04%
9	0.01%	0.01%	0.009%	0.04%	0.04%	0.03%
10	0.009%	0.009%	0.008%	0.04%	0.04%	0.03%
11	0.007%	0.008%	0.005%	0.04%	0.04%	0.04%
12	0.009%	0.01%	0.006%	0.04%	0.05%	0.04%
13	0.01%	0.01%	0.008%	0.05%	0.05%	0.04%
14	0.01%	0.02%	0.01%	0.05%	0.06%	0.04%
15	0.01%	0.02%	0.01%	0.06%	0.07%	0.05%
16	0.02%	0.02%	0.01%	0.07%	0.08%	0.05%
17	0.02%	0.03%	0.02%	0.08%	0.1%	0.06%
18	0.03%	0.04%	0.02%	0.09%	0.11%	0.06%
19	0.03%	0.05%	0.02%	0.09%	0.12%	0.07%
20	0.03%	0.05%	0.02%	0.1%	0.14%	0.07%
21	0.03%	0.04%	0.02%	0.11%	0.15%	0.07%
22	0.03%	0.05%	0.02%	0.12%	0.16%	0.08%
23	0.04%	0.05%	0.02%	0.13%	0.17%	0.08%
24	0.04%	0.05%	0.02%	0.13%	0.18%	0.08%
25	0.04%	0.06%	0.02%	0.14%	0.19%	0.09%
26	0.04%	0.06%	0.02%	0.15%	0.2%	0.09%
27	0.04%	0.06%	0.02%	0.15%	0.21%	0.1%
28	0.05%	0.07%	0.03%	0.16%	0.22%	0.1%
29	0.05%	0.07%	0.03%	0.17%	0.23%	0.11%
30	0.05%	0.07%	0.03%	0.18%	0.24%	0.11%
31	0.06%	0.08%	0.04%	0.19%	0.25%	0.12%
32	0.07%	0.09%	0.04%	0.2%	0.26%	0.13%
33	0.07%	0.09%	0.04%	0.21%	0.28%	0.14%
34	0.07%	0.1%	0.05%	0.23%	0.3%	0.15%
35	0.08%	0.11%	0.06%	0.24%	0.32%	0.16%
36	0.09%	0.12%	0.06%	0.26%	0.34%	0.18%
37	0.09%	0.12%	0.06%	0.28%	0.36%	0.19%
38	0.1%	0.13%	0.07%	0.29%	0.38%	0.2%
39	0.11%	0.14%	0.08%	0.31%	0.4%	0.22%
40	0.12%	0.16%	0.08%	0.33%	0.43%	0.24%
41	0.14%	0.19%	0.09%	0.36%	0.46%	0.25%
42	0.16%	0.21%	0.11%	0.38%	0.49%	0.27%
43	0.17%	0.23%	0.12%	0.41%	0.53%	0.3%
44	0.2%	0.26%	0.13%	0.45%	0.58%	0.32%
45	0.23%	0.3%	0.15%	0.49%	0.63%	0.35%
46	0.27%	0.36%	0.18%	0.54%	0.69%	0.38%
47	0.31%	0.42%	0.2%	0.58%	0.75%	0.42%
48	0.36%	0.49%	0.22%	0.64%	0.82%	0.45%
49	0.42%	0.57%	0.26%	0.69%	0.89%	0.49%
50	0.48%	0.65%	0.3%	0.75%	0.96%	0.53%
51	0.53%	0.73%	0.33%	0.81%	1.04%	0.57%
52	0.6%	0.83%	0.37%	0.87%	1.12%	0.62%
53	0.68%	0.93%	0.42%	0.94%	1.21%	0.66%
54	0.75%	1.04%	0.47%	1.01%	1.31%	0.71%
55	0.84%	1.16%	0.52%	1.09%	1.42%	0.77%
56	0.93%	1.3%	0.57%	1.18%	1.54%	0.83%
57	1.03%	1.44%	0.63%	1.27%	1.67%	0.89%
58	1.12%	1.57%	0.69%	1.37%	1.81%	0.96%
59	1.2%	1.68%	0.75%	1.49%	1.96%	1.04%
60	1.3%	1.83%	0.81%	1.61%	2.13%	1.13%
61	1.4%	1.98%	0.88%	1.75%	2.32%	1.23%
62	1.49%	2.09%	0.96%	1.9%	2.52%	1.34%
63	1.64%	2.33%	1.04%	2.07%	2.75%	1.46%
64	1.78%	2.57%	1.11%	2.25%	2.99%	1.6%
65	1.84%	2.68%	1.16%	2.47%	3.26%	1.78%
66	1.91%	2.75%	1.25%	2.71%	3.56%	1.98%
67	2.06%	2.92%	1.39%	2.97%	3.88%	2.21%
68	2.18%	3.08%	1.5%	3.26%	4.23%	2.47%
69	2.29%	3.25%	1.58%	3.58%	4.61%	2.75%
70	2.44%	3.46%	1.69%	3.92%	5.02%	3.06%
71	2.62%	3.69%	1.85%	4.31%	5.46%	3.41%
72	2.82%	3.94%	2.04%	4.73%	5.95%	3.8%
73	3.03%	4.22%	2.24%	5.18%	6.48%	4.24%
74	3.29%	4.53%	2.49%	5.69%	7.05%	4.72%
75	3.61%	4.89%	2.79%	6.24%	7.67%	5.25%
76	4%	5.39%	3.13%	6.84%	8.35%	5.84%
77	4.44%	5.94%	3.53%	7.48%	9.08%	6.5%
78	4.91%	6.43%	4.01%	8.18%	9.86%	7.21%
79	5.47%	7.01%	4.6%	8.94%	10.7%	7.99%
80	6.17%	7.79%	5.28%	9.75%	11.6%	8.83%
81	6.86%	8.52%	5.97%	10.6%	12.6%	9.75%
82	7.6%	9.26%	6.75%	11.6%	13.6%	10.8%
83	8.48%	10.1%	7.68%	12.7%	14.8%	11.9%
84	9.37%	11%	8.61%	13.9%	16%	13%
85	10.3%	11.9%	9.6%	15.1%	17.3%	14.3%
86	11.4%	13%	10.7%	16.5%	18.6%	15.7%
87	12.5%	14.1%	11.9%	17.9%	20%	17.1%
88	13.7%	15.5%	13.1%	19.3%	21.5%	18.6%
89	15.2%	16.9%	14.6%	20.9%	23%	20.1%
90	16.8%	18.4%	16.3%	22.4%	24.6%	21.7%
91	18.5%	20.2%	18%	24.1%	26.2%	23.4%
92	20.5%	22.3%	19.8%	25.8%	28%	25.1%
93	22.4%	24.2%	21.8%	27.6%	29.7%	27%
94	24.1%	25.6%	23.6%	29.5%	31.5%	28.9%
95	26%	27.1%	25.6%	31.8%	33.7%	31.2%
96	28.2%	29.4%	27.8%	34.1%	35.8%	33.6%
97	30.3%	31.4%	30%	36.5%	38.1%	36%
98	32.5%	33.3%	32.2%	39%	40.5%	38.7%
99	34.7%	35.4%	34.5%	41.7%	43%	41.4%
100	36.9%	37.5%	36.7%	44.1%	45.2%	43.8%

Death rate by age in Hungary compared to the Philippines

In Hungary, the most common age of death is 84, compared to 79 in the Philippines. The median age of death is 80.3 in Hungary and 74.5 in the Philippines — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Hungary			Philippines
	Total	Male	Female	Total	Male	Female
0	280.4	300	259.4	1,942	2,113	1,758
1	25.5	24	27.1	264.9	271	258.3
2	16.6	20.7	12.3	179.2	184.3	173.7
3	12.4	12.7	12.2	123	127.2	118.5
4	10	12.2	7.73	86.8	90.1	83.2
5	8.3	9.3	7.24	63.9	66.6	61
6	7.3	6	8.68	49.7	51.9	47.4
7	7.26	7.28	7.23	41.4	43.3	39.4
8	8.58	10.5	6.5	36.9	38.8	35.1
9	10.4	11.6	9.07	35.3	37.1	33.3
10	8.64	9.32	7.93	35.6	37.8	33.4
11	6.85	8.21	5.43	37.7	40.5	34.7
12	8.77	11.5	5.83	41.2	45.1	37.1
13	11.1	13.9	7.99	45.9	51.6	40.1
14	12.7	15.5	9.73	51.8	59.9	43.5
15	14.1	18.1	9.87	58.7	69.9	47.2
16	17.1	22.8	11.1	66.4	81.3	51.1
17	23	30.6	15	74.7	93.6	55.2
18	29.8	41.7	17.3	83.2	106.2	59.5
19	34.3	49	18.7	91.7	118.6	63.8
20	34.4	47.3	20.7	99.8	130.5	68.1
21	33.5	44.6	21.8	107.4	141.8	72.2
22	33.5	44.9	21.4	114.5	152.6	75.8
23	34.8	49.1	19.7	121.4	163	79.1
24	37	53.4	19.5	128	173	82
25	38.9	54.9	21.9	134.4	182.7	84.9
26	39.8	57	21.6	140.7	192	88
27	42.4	61.7	21.9	147	200.8	91.8
28	48.2	68.5	26.2	153.5	209.2	96.4
29	51.1	71.6	29.2	160.5	217.4	102.1
30	49.5	69.5	28.2	168.3	226.1	108.9
31	57.3	77.7	35.5	177.3	235.9	116.9
32	65.7	87.2	42.6	187.7	247.4	125.8
33	66.3	88.8	41.9	199.7	261.1	135.7
34	73.8	96.4	49.4	213.1	276.9	146.2
35	83.7	107.6	58	227.7	294.5	157.4
36	88	115.7	58	243.2	313	169.1
37	92.9	122.3	60.9	259.2	333	181.4
38	103.1	130.1	74.1	275.4	352	194.3
39	108.4	138.7	76	292.3	372	208
40	117.7	155.2	77.9	310	393	222.7
41	138.5	181.7	93.4	330	417	239.1
42	155.8	201.8	107.5	353	445	257.4
43	171.1	222	118.1	380	478	278.1
44	192.2	253.2	129.3	412	517	301
45	223	294.6	148.8	447	561	327
46	262.4	344	177.6	486	611	356
47	302	404	195.4	528	663	386
48	346	471	215.9	571	718	418
49	401	540	254.7	616	773	451
50	456	613	293	662	829	485
51	508	691	318	709	886	521
52	569	772	358	758	947	558
53	638	859	408	809	1,011	596
54	708	953	454	864	1,080	637
55	781	1,057	496	923	1,154	680
56	859	1,169	541	986	1,233	727
57	938	1,278	593	1,052	1,317	777
58	1,010	1,369	647	1,123	1,404	831
59	1,072	1,442	698	1,200	1,496	891
60	1,150	1,547	753	1,281	1,592	956
61	1,222	1,639	811	1,368	1,693	1,027
62	1,280	1,701	870	1,461	1,800	1,105
63	1,386	1,856	935	1,559	1,911	1,190
64	1,481	2,000	989	1,662	2,026	1,282
65	1,507	2,027	1,024	1,782	2,143	1,407
66	1,538	2,031	1,086	1,906	2,260	1,540
67	1,624	2,092	1,197	2,034	2,375	1,683
68	1,683	2,142	1,271	2,165	2,488	1,835
69	1,731	2,191	1,322	2,299	2,596	1,995
70	1,800	2,260	1,393	2,433	2,698	2,163
71	1,885	2,328	1,498	2,565	2,792	2,336
72	1,975	2,393	1,619	2,694	2,874	2,513
73	2,066	2,460	1,743	2,816	2,943	2,693
74	2,174	2,527	1,888	2,928	2,995	2,872
75	2,307	2,605	2,065	3,030	3,030	3,046
76	2,466	2,735	2,256	3,114	3,043	3,212
77	2,627	2,848	2,464	3,175	3,032	3,363
78	2,775	2,899	2,699	3,211	2,994	3,490
79	2,941	2,960	2,967	3,220	2,929	3,587
80	3,133	3,059	3,250	3,200	2,836	3,648
81	3,269	3,085	3,484	3,152	2,718	3,673
82	3,376	3,066	3,706	3,078	2,575	3,657
83	3,480	3,037	3,930	2,972	2,409	3,596
84	3,518	2,971	4,066	2,834	2,222	3,488
85	3,510	2,870	4,145	2,662	2,018	3,330
86	3,476	2,743	4,192	2,458	1,801	3,123
87	3,388	2,602	4,147	2,228	1,577	2,872
88	3,243	2,446	4,008	1,979	1,353	2,587
89	3,099	2,259	3,887	1,721	1,138	2,280
90	2,915	2,049	3,707	1,466	936	1,966
91	2,670	1,833	3,427	1,220	753	1,657
92	2,401	1,617	3,106	993	592	1,365
93	2,089	1,364	2,734	788	453	1,096
94	1,746	1,091	2,321	609	338	856
95	1,426	860	1,919	463	247.1	659
96	1,145	679	1,551	339	174.4	487
97	885	513	1,209	239.2	119	348
98	660	373	909	162.6	78.2	238.6
99	476	264.8	660	106	49.4	156.8
100	203.5	89.1	302	0	0	1.85

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 the Philippines 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 Philippines: Statistical Insights

By topic vs comparisons:

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