Life Expectancy in Hungary vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Hungary

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	Hungary			Tanzania
	Average	Male	Female	Average	Male	Female
100	102.1	102	102.2	102.5	101.9	102.6
99	101.2	101.1	101.3	101.7	101	101.7
98	100.3	100.2	100.4	100.8	100.1	100.9
97	99.5	99.4	99.5	100	99.2	100.1
96	98.6	98.5	98.7	99.1	98.4	99.3
95	97.8	97.7	97.9	98.3	97.5	98.4
94	97	96.9	97.1	97.4	96.6	97.7
93	96.3	96.1	96.3	96.6	95.8	96.9
92	95.5	95.3	95.6	95.8	94.9	96.1
91	94.8	94.5	94.8	95.1	94.1	95.4
90	94	93.8	94.1	94.3	93.3	94.6
89	93.4	93.1	93.5	93.5	92.5	93.9
88	92.7	92.4	92.8	92.7	91.7	93.2
87	92.1	91.7	92.2	92	90.9	92.5
86	91.4	91	91.6	91.3	90.1	91.9
85	90.8	90.4	91	90.6	89.4	91.2
84	90.2	89.7	90.5	89.9	88.7	90.6
83	89.7	89.1	89.9	89.2	88	90
82	89.1	88.5	89.4	88.6	87.3	89.4
81	88.6	87.9	89	87.9	86.6	88.9
80	88.1	87.4	88.5	87.3	86	88.3
79	87.7	86.8	88.1	86.8	85.3	87.8
78	87.2	86.3	87.7	86.2	84.7	87.3
77	86.8	85.8	87.4	85.6	84.1	86.8
76	86.4	85.3	87	85.1	83.5	86.3
75	86	84.8	86.7	84.5	83	85.8
74	85.6	84.4	86.4	84	82.4	85.3
73	85.3	83.9	86.1	83.5	81.9	84.8
72	84.9	83.5	85.9	83	81.4	84.3
71	84.6	83	85.6	82.5	80.9	83.9
70	84.2	82.6	85.4	82.1	80.4	83.4
69	83.9	82.2	85.1	81.6	79.9	83
68	83.6	81.8	84.9	81.2	79.4	82.6
67	83.2	81.4	84.6	80.7	79	82.2
66	82.9	81	84.4	80.3	78.5	81.8
65	82.6	80.5	84.2	79.9	78.1	81.4
64	82.3	80.1	84	79.5	77.6	81
63	82	79.8	83.8	79.1	77.2	80.7
62	81.7	79.4	83.6	78.7	76.8	80.3
61	81.4	79.1	83.4	78.4	76.4	80
60	81.2	78.7	83.2	78	76.1	79.7
59	80.9	78.4	83	77.7	75.7	79.4
58	80.7	78.1	82.8	77.4	75.4	79.1
57	80.4	77.8	82.7	77.1	75	78.9
56	80.2	77.5	82.5	76.8	74.7	78.6
55	80	77.3	82.4	76.5	74.4	78.3
54	79.8	77.1	82.3	76.2	74.1	78.1
53	79.6	76.8	82.2	75.9	73.8	77.9
52	79.5	76.6	82	75.7	73.5	77.6
51	79.3	76.5	82	75.4	73.3	77.4
50	79.2	76.3	81.9	75.2	73	77.2
49	79.1	76.1	81.8	75	72.7	77
48	79	76	81.7	74.7	72.5	76.8
47	78.9	75.9	81.6	74.5	72.3	76.6
46	78.8	75.8	81.6	74.3	72	76.5
45	78.7	75.7	81.5	74.1	71.8	76.3
44	78.6	75.6	81.5	73.9	71.6	76.1
43	78.6	75.5	81.4	73.8	71.4	76
42	78.5	75.5	81.4	73.6	71.2	75.8
41	78.5	75.4	81.3	73.4	71	75.6
40	78.4	75.4	81.3	73.2	70.8	75.5
39	78.4	75.3	81.3	73.1	70.7	75.4
38	78.3	75.3	81.3	72.9	70.5	75.2
37	78.3	75.2	81.2	72.8	70.3	75.1
36	78.3	75.2	81.2	72.6	70.2	75
35	78.2	75.1	81.2	72.5	70	74.8
34	78.2	75.1	81.1	72.4	69.9	74.7
33	78.2	75.1	81.1	72.2	69.7	74.6
32	78.1	75	81.1	72.1	69.6	74.5
31	78.1	75	81.1	72	69.5	74.4
30	78.1	75	81.1	71.9	69.3	74.3
29	78.1	74.9	81.1	71.8	69.2	74.2
28	78	74.9	81	71.7	69.1	74.1
27	78	74.9	81	71.6	69	74
26	78	74.8	81	71.4	68.9	73.9
25	78	74.8	81	71.4	68.7	73.9
24	78	74.8	81	71.3	68.6	73.8
23	77.9	74.8	81	71.2	68.5	73.7
22	77.9	74.7	81	71.1	68.4	73.6
21	77.9	74.7	81	71	68.3	73.6
20	77.9	74.7	81	70.9	68.2	73.5
19	77.9	74.7	80.9	70.8	68.1	73.4
18	77.8	74.6	80.9	70.8	68.1	73.4
17	77.8	74.6	80.9	70.7	68	73.3
16	77.8	74.6	80.9	70.6	67.9	73.3
15	77.8	74.6	80.9	70.6	67.9	73.2
14	77.8	74.6	80.9	70.5	67.8	73.2
13	77.8	74.6	80.9	70.5	67.8	73.2
12	77.8	74.6	80.9	70.5	67.7	73.1
11	77.8	74.6	80.9	70.4	67.7	73.1
10	77.8	74.6	80.9	70.4	67.7	73.1
9	77.8	74.5	80.9	70.4	67.6	73
8	77.8	74.5	80.9	70.3	67.6	73
7	77.8	74.5	80.9	70.3	67.5	72.9
6	77.8	74.5	80.9	70.2	67.5	72.9
5	77.8	74.5	80.9	70.2	67.4	72.8
4	77.7	74.5	80.9	70.1	67.3	72.7
3	77.7	74.5	80.8	69.9	67.2	72.6
2	77.7	74.5	80.8	69.8	67	72.4
1	77.7	74.5	80.8	69.5	66.8	72.2
0	77.5	74.3	80.6	67.6	64.8	70.4

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 71.9 in Tanzania, rising to 82.6 and 79.9 at 65, and to 88.1 and 87.3 at 80 — higher than the 77.5 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Hungary

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	Hungary			Tanzania
	Average	Male	Female	Average	Male	Female
100	0.94%	0.51%	1.3%	0.67%	0.12%	1.28%
99	1.43%	0.79%	1.99%	0.94%	0.2%	1.76%
98	2.12%	1.18%	2.92%	1.29%	0.3%	2.36%
97	3.03%	1.71%	4.17%	1.73%	0.46%	3.12%
96	4.21%	2.42%	5.76%	2.29%	0.68%	4.05%
95	5.67%	3.31%	7.72%	2.99%	0.98%	5.16%
94	7.46%	4.44%	10.1%	3.82%	1.38%	6.46%
93	9.59%	5.84%	12.9%	4.81%	1.89%	7.95%
92	12%	7.51%	16%	5.97%	2.55%	9.63%
91	14.8%	9.39%	19.5%	7.28%	3.35%	11.5%
90	17.7%	11.5%	23.2%	8.82%	4.35%	13.5%
89	20.8%	13.8%	27.2%	10.5%	5.52%	15.7%
88	24.1%	16.3%	31.2%	12.4%	6.9%	18.1%
87	27.5%	18.9%	35.4%	14.4%	8.47%	20.5%
86	31%	21.7%	39.6%	16.6%	10.2%	23.1%
85	34.6%	24.6%	43.7%	19%	12.2%	25.7%
84	38.1%	27.6%	47.8%	21.4%	14.3%	28.4%
83	41.6%	30.7%	51.7%	23.9%	16.6%	31%
82	44.9%	33.7%	55.4%	26.5%	19%	33.6%
81	48.2%	36.8%	58.9%	29%	21.4%	36.1%
80	51.3%	39.9%	62.1%	31.5%	24%	38.5%
79	54.3%	42.9%	65%	34.1%	26.6%	41%
78	57%	45.7%	67.7%	36.6%	29.2%	43.4%
77	59.6%	48.6%	70.1%	39.2%	31.8%	45.8%
76	62.1%	51.3%	72.4%	41.7%	34.5%	48.2%
75	64.4%	53.9%	74.4%	44.2%	37.1%	50.6%
74	66.5%	56.4%	76.3%	46.6%	39.7%	52.9%
73	68.6%	58.9%	78%	49%	42.2%	55.1%
72	70.5%	61.2%	79.6%	51.3%	44.7%	57.3%
71	72.4%	63.5%	81.1%	53.5%	47.1%	59.4%
70	74.2%	65.8%	82.5%	55.7%	49.5%	61.4%
69	75.9%	67.9%	83.8%	57.7%	51.8%	63.3%
68	77.5%	70.1%	85%	59.7%	54%	65.2%
67	79.2%	72.1%	86.2%	61.7%	56.2%	67%
66	80.7%	74.1%	87.3%	63.6%	58.3%	68.8%
65	82.2%	76.1%	88.3%	65.4%	60.3%	70.5%
64	83.6%	78.1%	89.3%	67.2%	62.3%	72%
63	85%	79.9%	90.2%	68.8%	64.2%	73.5%
62	86.3%	81.6%	91%	70.4%	66%	74.9%
61	87.5%	83.2%	91.8%	71.9%	67.6%	76.2%
60	88.6%	84.8%	92.6%	73.3%	69.3%	77.5%
59	89.7%	86.2%	93.3%	74.7%	70.8%	78.6%
58	90.6%	87.5%	93.9%	75.9%	72.2%	79.7%
57	91.6%	88.8%	94.5%	77.1%	73.6%	80.7%
56	92.4%	89.9%	95%	78.2%	74.9%	81.6%
55	93.2%	91%	95.5%	79.3%	76.1%	82.5%
54	93.9%	91.9%	96%	80.3%	77.3%	83.3%
53	94.5%	92.8%	96.4%	81.3%	78.4%	84.2%
52	95.1%	93.5%	96.7%	82.2%	79.4%	84.9%
51	95.6%	94.2%	97%	83%	80.4%	85.6%
50	96%	94.8%	97.3%	83.9%	81.4%	86.3%
49	96.4%	95.3%	97.6%	84.6%	82.3%	86.9%
48	96.8%	95.8%	97.8%	85.3%	83.1%	87.5%
47	97.1%	96.2%	98%	86%	83.9%	88.1%
46	97.3%	96.5%	98.1%	86.6%	84.7%	88.6%
45	97.5%	96.8%	98.3%	87.2%	85.4%	89.1%
44	97.7%	97.1%	98.4%	87.8%	86%	89.6%
43	97.9%	97.3%	98.5%	88.3%	86.7%	90%
42	98%	97.5%	98.6%	88.8%	87.2%	90.5%
41	98.2%	97.7%	98.7%	89.3%	87.8%	90.8%
40	98.3%	97.8%	98.8%	89.8%	88.3%	91.2%
39	98.4%	98%	98.9%	90.2%	88.8%	91.6%
38	98.5%	98.1%	99%	90.6%	89.3%	91.9%
37	98.6%	98.2%	99%	91%	89.8%	92.2%
36	98.7%	98.3%	99.1%	91.3%	90.2%	92.5%
35	98.8%	98.4%	99.1%	91.7%	90.6%	92.8%
34	98.8%	98.5%	99.2%	92%	90.9%	93.1%
33	98.9%	98.6%	99.2%	92.3%	91.3%	93.3%
32	99%	98.7%	99.3%	92.6%	91.6%	93.6%
31	99%	98.8%	99.3%	92.9%	92%	93.8%
30	99.1%	98.8%	99.3%	93.1%	92.3%	94%
29	99.1%	98.9%	99.4%	93.4%	92.5%	94.2%
28	99.2%	99%	99.4%	93.6%	92.8%	94.4%
27	99.2%	99%	99.4%	93.8%	93.1%	94.6%
26	99.3%	99.1%	99.4%	94%	93.3%	94.8%
25	99.3%	99.1%	99.4%	94.2%	93.6%	94.9%
24	99.3%	99.2%	99.5%	94.4%	93.8%	95.1%
23	99.4%	99.2%	99.5%	94.6%	94%	95.2%
22	99.4%	99.3%	99.5%	94.8%	94.2%	95.4%
21	99.4%	99.3%	99.5%	95%	94.4%	95.5%
20	99.5%	99.4%	99.5%	95.1%	94.6%	95.6%
19	99.5%	99.4%	99.6%	95.3%	94.8%	95.7%
18	99.5%	99.5%	99.6%	95.4%	95%	95.8%
17	99.5%	99.5%	99.6%	95.5%	95.1%	95.9%
16	99.6%	99.5%	99.6%	95.6%	95.2%	96%
15	99.6%	99.5%	99.6%	95.7%	95.3%	96.1%
14	99.6%	99.6%	99.6%	95.8%	95.4%	96.1%
13	99.6%	99.6%	99.6%	95.8%	95.5%	96.2%
12	99.6%	99.6%	99.6%	95.9%	95.5%	96.2%
11	99.6%	99.6%	99.6%	95.9%	95.6%	96.3%
10	99.6%	99.6%	99.7%	96%	95.7%	96.4%
9	99.6%	99.6%	99.7%	96.1%	95.7%	96.4%
8	99.6%	99.6%	99.7%	96.1%	95.8%	96.5%
7	99.7%	99.6%	99.7%	96.2%	95.9%	96.5%
6	99.7%	99.6%	99.7%	96.3%	96%	96.6%
5	99.7%	99.6%	99.7%	96.4%	96.1%	96.7%
4	99.7%	99.7%	99.7%	96.5%	96.2%	96.8%
3	99.7%	99.7%	99.7%	96.7%	96.4%	97%
2	99.7%	99.7%	99.7%	96.9%	96.6%	97.2%
1	99.7%	99.7%	99.7%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 88.6% of newborns in Hungary and 73.3% in Tanzania are expected to live past 60, 74.2% and 55.7% past 70, 51.3% and 31.5% past 80, and only 17.7% and 8.82% 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

Tanzania

Male

Female

1x

Age	Probability of dying
	Hungary			Tanzania
	Average	Male	Female	Average	Male	Female
100	36.8%	37.4%	36.6%	29.4%	38.6%	28.4%
99	34.6%	35.3%	34.4%	28.3%	37.1%	27.2%
98	32.3%	33.2%	32.1%	26.8%	35.3%	25.5%
97	30.2%	31.2%	29.9%	25.7%	33.9%	24.3%
96	28%	29.2%	27.6%	24.5%	32.3%	23%
95	25.8%	26.9%	25.4%	23.3%	30.7%	21.6%
94	24%	25.4%	23.5%	21.8%	28.9%	20.1%
93	22.2%	24.1%	21.6%	20.6%	27.3%	18.7%
92	20.3%	22.1%	19.7%	19.4%	25.7%	17.5%
91	18.4%	20%	17.8%	18.1%	24%	16%
90	16.7%	18.3%	16.1%	17.4%	22.9%	15.3%
89	15%	16.7%	14.4%	16.1%	21.3%	13.9%
88	13.6%	15.3%	12.9%	15.2%	20%	13%
87	12.4%	14%	11.8%	14.2%	18.6%	12%
86	11.3%	12.8%	10.6%	13.3%	17.3%	11.1%
85	10.2%	11.8%	9.49%	12.3%	16%	10.2%
84	9.27%	10.9%	8.51%	11.4%	14.9%	9.37%
83	8.38%	9.98%	7.59%	10.4%	13.7%	8.46%
82	7.51%	9.13%	6.67%	9.6%	12.6%	7.7%
81	6.77%	8.41%	5.89%	8.6%	11.4%	6.8%
80	6.09%	7.68%	5.2%	8.09%	10.6%	6.4%
79	5.4%	6.91%	4.53%	7.47%	9.73%	5.95%
78	4.84%	6.33%	3.95%	7.01%	9.02%	5.65%
77	4.38%	5.85%	3.48%	6.47%	8.26%	5.24%
76	3.94%	5.31%	3.09%	6.05%	7.65%	4.95%
75	3.55%	4.81%	2.75%	5.63%	7.08%	4.66%
74	3.24%	4.45%	2.45%	5.22%	6.52%	4.35%
73	2.99%	4.15%	2.21%	4.83%	6.02%	4.06%
72	2.77%	3.88%	2.01%	4.5%	5.58%	3.8%
71	2.58%	3.63%	1.82%	4.12%	5.1%	3.49%
70	2.4%	3.4%	1.67%	3.91%	4.8%	3.33%
69	2.25%	3.19%	1.56%	3.59%	4.41%	3.06%
68	2.14%	3.02%	1.47%	3.37%	4.12%	2.88%
67	2.02%	2.87%	1.37%	3.16%	3.84%	2.7%
66	1.88%	2.71%	1.23%	2.97%	3.6%	2.54%
65	1.81%	2.63%	1.14%	2.83%	3.4%	2.41%
64	1.75%	2.53%	1.09%	2.61%	3.15%	2.2%
63	1.61%	2.29%	1.02%	2.42%	2.92%	2.02%
62	1.47%	2.05%	0.94%	2.25%	2.71%	1.86%
61	1.38%	1.94%	0.87%	2.06%	2.49%	1.7%
60	1.28%	1.8%	0.8%	1.94%	2.34%	1.58%
59	1.18%	1.65%	0.74%	1.78%	2.14%	1.44%
58	1.1%	1.54%	0.68%	1.66%	1.99%	1.34%
57	1.01%	1.42%	0.62%	1.54%	1.85%	1.24%
56	0.92%	1.28%	0.56%	1.44%	1.73%	1.16%
55	0.83%	1.14%	0.51%	1.35%	1.62%	1.09%
54	0.74%	1.02%	0.47%	1.26%	1.52%	1.02%
53	0.66%	0.91%	0.42%	1.18%	1.42%	0.95%
52	0.59%	0.81%	0.36%	1.11%	1.34%	0.9%
51	0.52%	0.72%	0.32%	1.03%	1.24%	0.83%
50	0.47%	0.64%	0.3%	0.97%	1.17%	0.79%
49	0.41%	0.56%	0.26%	0.9%	1.08%	0.73%
48	0.35%	0.48%	0.22%	0.84%	1.01%	0.68%
47	0.31%	0.41%	0.2%	0.78%	0.94%	0.63%
46	0.27%	0.35%	0.18%	0.73%	0.88%	0.59%
45	0.23%	0.3%	0.15%	0.69%	0.83%	0.56%
44	0.19%	0.26%	0.13%	0.64%	0.77%	0.52%
43	0.17%	0.22%	0.12%	0.6%	0.72%	0.49%
42	0.16%	0.2%	0.11%	0.57%	0.68%	0.47%
41	0.14%	0.18%	0.09%	0.53%	0.63%	0.44%
40	0.12%	0.16%	0.08%	0.51%	0.6%	0.42%
39	0.11%	0.14%	0.08%	0.47%	0.56%	0.39%
38	0.1%	0.13%	0.07%	0.45%	0.53%	0.37%
37	0.09%	0.12%	0.06%	0.42%	0.5%	0.34%
36	0.09%	0.12%	0.06%	0.39%	0.47%	0.33%
35	0.08%	0.11%	0.06%	0.37%	0.44%	0.31%
34	0.07%	0.1%	0.05%	0.35%	0.41%	0.29%
33	0.07%	0.09%	0.04%	0.33%	0.39%	0.27%
32	0.07%	0.09%	0.04%	0.31%	0.37%	0.25%
31	0.06%	0.08%	0.04%	0.29%	0.34%	0.24%
30	0.05%	0.07%	0.03%	0.28%	0.33%	0.23%
29	0.05%	0.07%	0.03%	0.26%	0.31%	0.21%
28	0.05%	0.07%	0.03%	0.25%	0.3%	0.2%
27	0.04%	0.06%	0.02%	0.24%	0.28%	0.19%
26	0.04%	0.06%	0.02%	0.22%	0.27%	0.18%
25	0.04%	0.05%	0.02%	0.21%	0.26%	0.17%
24	0.04%	0.05%	0.02%	0.2%	0.25%	0.16%
23	0.03%	0.05%	0.02%	0.19%	0.24%	0.15%
22	0.03%	0.04%	0.02%	0.18%	0.23%	0.14%
21	0.03%	0.04%	0.02%	0.17%	0.21%	0.13%
20	0.03%	0.05%	0.02%	0.16%	0.2%	0.13%
19	0.03%	0.05%	0.02%	0.15%	0.18%	0.12%
18	0.03%	0.04%	0.02%	0.14%	0.17%	0.11%
17	0.02%	0.03%	0.01%	0.12%	0.14%	0.1%
16	0.02%	0.02%	0.01%	0.1%	0.12%	0.09%
15	0.01%	0.02%	0.01%	0.09%	0.1%	0.08%
14	0.01%	0.02%	0.01%	0.08%	0.09%	0.07%
13	0.01%	0.01%	0.008%	0.07%	0.08%	0.06%
12	0.009%	0.01%	0.006%	0.06%	0.07%	0.06%
11	0.007%	0.008%	0.005%	0.06%	0.07%	0.05%
10	0.008%	0.009%	0.008%	0.06%	0.07%	0.05%
9	0.01%	0.01%	0.009%	0.06%	0.07%	0.06%
8	0.008%	0.01%	0.006%	0.07%	0.07%	0.06%
7	0.007%	0.007%	0.007%	0.08%	0.08%	0.07%
6	0.007%	0.006%	0.008%	0.08%	0.09%	0.08%
5	0.008%	0.009%	0.007%	0.1%	0.11%	0.09%
4	0.01%	0.01%	0.008%	0.13%	0.14%	0.12%
3	0.01%	0.01%	0.01%	0.18%	0.18%	0.17%
2	0.02%	0.02%	0.01%	0.25%	0.26%	0.25%
1	0.02%	0.02%	0.03%	0.41%	0.41%	0.4%
0	0.27%	0.29%	0.25%	2.69%	2.99%	2.38%

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

The annual chance of dying is 0.27% in the birth year in Hungary and 2.69% in Tanzania, 0.05% vs 0.28% at age 30, 1.28% vs 1.94% at 60, and 6.09% vs 8.09% at 80.

Death rate by age in Hungary vs Tanzania

Chart Table

Hungary

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	Hungary			Tanzania
	Total	Male	Female	Total	Male	Female
100	217.8	97.2	320	140.1	0.71	294.9
99	495	277.8	683	266.5	72.6	478
98	684	391	938	344	107.1	602
97	915	535	1,245	444	155.1	756
96	1,180	706	1,592	562	218.8	930
95	1,464	892	1,963	695	300	1,116
94	1,787	1,128	2,368	834	398	1,297
93	2,133	1,406	2,782	989	516	1,486
92	2,445	1,662	3,153	1,159	656	1,682
91	2,712	1,880	3,470	1,316	805	1,836
90	2,952	2,096	3,745	1,536	994	2,078
89	3,133	2,304	3,918	1,690	1,174	2,190
88	3,276	2,490	4,033	1,881	1,377	2,351
87	3,416	2,642	4,164	2,045	1,575	2,462
86	3,500	2,779	4,202	2,207	1,777	2,566
85	3,529	2,901	4,148	2,336	1,957	2,629
84	3,532	2,998	4,063	2,452	2,143	2,662
83	3,485	3,058	3,921	2,499	2,269	2,625
82	3,376	3,081	3,693	2,540	2,389	2,588
81	3,263	3,096	3,467	2,490	2,434	2,451
80	3,126	3,064	3,230	2,549	2,548	2,467
79	2,932	2,961	2,946	2,545	2,586	2,439
78	2,759	2,895	2,678	2,569	2,636	2,453
77	2,610	2,840	2,442	2,533	2,630	2,402
76	2,449	2,724	2,235	2,519	2,638	2,384
75	2,284	2,592	2,044	2,489	2,625	2,358
74	2,153	2,511	1,867	2,431	2,589	2,297
73	2,051	2,442	1,723	2,367	2,543	2,235
72	1,957	2,374	1,599	2,309	2,496	2,179
71	1,865	2,307	1,479	2,205	2,404	2,072
70	1,778	2,237	1,375	2,174	2,375	2,046
69	1,711	2,168	1,304	2,072	2,284	1,936
68	1,663	2,118	1,253	2,015	2,226	1,877
67	1,602	2,067	1,180	1,948	2,160	1,806
66	1,520	2,006	1,070	1,889	2,097	1,743
65	1,490	2,000	1,009	1,848	2,051	1,698
64	1,462	1,972	974	1,753	1,961	1,588
63	1,369	1,830	921	1,666	1,874	1,488
62	1,264	1,677	857	1,583	1,789	1,396
61	1,206	1,614	799	1,484	1,686	1,293
60	1,134	1,524	742	1,422	1,617	1,227
59	1,056	1,420	688	1,327	1,514	1,135
58	995	1,348	637	1,257	1,436	1,069
57	925	1,258	584	1,185	1,359	1,002
56	847	1,151	532	1,126	1,294	949
55	769	1,041	488	1,069	1,234	895
54	697	938	447	1,015	1,174	848
53	628	845	402	962	1,116	802
52	560	760	352	914	1,062	763
51	500	680	313	856	999	711
50	450	603	288.7	817	955	680
49	394	532	251	761	892	633
48	341	464	212.8	716	840	596
47	297.3	398	192.6	671	789	558
46	258.4	339	175.1	632	744	525
45	219.6	290.2	146.8	599	705	498
44	189.8	249.5	127.5	563	661	469
43	168.8	218.7	116.5	533	625	445
42	153.4	198.8	106	507	593	423
41	136.8	179	92.1	476	557	397
40	116.2	153	76.9	455	533	380
39	107	136.8	75	428	500	357
38	101.8	128.2	73.1	405	473	338
37	91.6	120.6	60.1	382	446	318
36	86.7	114	57.2	361	420	301
35	82.6	106.1	57.3	341	398	284.4
34	72.8	95	48.8	321	375	266.3
33	65.3	87.5	41.3	303	353	251.3
32	64.7	85.9	42	286.8	335	237.8
31	56.5	76.5	35	269.7	316	222.6
30	48.8	68.4	27.8	258.9	303	213.8
29	50.4	70.4	28.8	245	287.2	202.1
28	47.4	67.4	25.9	233.1	274.4	191
27	41.7	60.7	21.6	222.2	262.5	181.1
26	39.3	56	21.3	211.5	251.5	171
25	38.3	53.9	21.5	201.9	242.2	161.1
24	36.4	52.5	19.2	192.7	232.5	152.5
23	34.2	48.2	19.4	183.7	223.1	143.7
22	32.9	44.1	21.1	174.2	212.6	135.4
21	33	43.7	21.5	164	200.4	127
20	33.7	46.4	20.3	154.3	187.4	120.7
19	33.6	48.1	18.3	142.8	172.9	112.2
18	29.2	40.9	17	130.5	157.1	103.4
17	22.5	29.9	14.7	114.1	134.6	93.3
16	16.7	22.3	10.9	98.8	113.8	83.6
15	13.8	17.7	9.68	85	95.7	74
14	12.4	15.1	9.53	73.3	81.7	64.7
13	10.8	13.6	7.82	65.1	71.8	58.2
12	8.56	11.3	5.71	60	66.3	53.6
11	6.7	8.01	5.31	57.8	63.8	51.6
10	8.44	9.09	7.74	57.7	63	52.2
9	10.1	11.3	8.86	59.9	65.2	54.4
8	8.36	10.3	6.34	64.7	70.4	58.8
7	7.08	7.1	7.06	72.2	78.1	66.1
6	7.12	5.85	8.46	81.7	87.3	76
5	8.09	9.06	7.07	96.7	101.8	91.4
4	9.76	11.8	7.54	125.6	131.7	119.3
3	12.1	12.3	11.9	171.2	177.9	164.3
2	16.1	20.1	12	246.7	252.7	240.5
1	24.7	23.2	26.3	394	394	394
0	271.5	290.3	251.6	2,690	2,990	2,383

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 Tanzania. The median age of death is 80.4 in Hungary and 72.6 in Tanzania, 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 Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x