Life Expectancy in Luxembourg vs South Africa (1950-2026)

Life expectancy by current age

Chart Table

Luxembourg

Male

Female

South Africa

Male

Female

1x

Current age, years	Total life expectancy, years
	Luxembourg			South Africa
	Average	Male	Female	Average	Male	Female
100	102.1	101.9	102.1	103.4	103.1	103.5
99	101.2	101.1	101.2	102.5	102.3	102.6
98	100.4	100.2	100.4	101.7	101.5	101.7
97	99.5	99.4	99.6	100.8	100.7	100.9
96	98.7	98.5	98.8	100	99.9	100
95	98	97.7	98.1	99.2	99.1	99.2
94	97.2	97	97.3	98.4	98.3	98.4
93	96.5	96.2	96.6	97.6	97.5	97.7
92	95.8	95.5	95.9	96.9	96.7	96.9
91	95.1	94.7	95.3	96.1	96	96.2
90	94.5	94.1	94.7	95.4	95.2	95.5
89	93.8	93.4	94.1	94.7	94.4	94.8
88	93.2	92.8	93.5	94	93.7	94.1
87	92.7	92.1	93	93.3	92.9	93.4
86	92.1	91.6	92.5	92.6	92.2	92.7
85	91.6	91	92	91.9	91.5	92.1
84	91.1	90.5	91.6	91.3	90.8	91.5
83	90.7	90	91.2	90.6	90.1	90.9
82	90.3	89.5	90.8	90	89.4	90.3
81	89.9	89.1	90.4	89.4	88.7	89.7
80	89.5	88.7	90.1	88.8	88	89.1
79	89.2	88.3	89.8	88.1	87.4	88.5
78	88.8	88	89.5	87.5	86.7	88
77	88.5	87.6	89.3	86.9	86	87.4
76	88.2	87.3	89	86.3	85.3	86.9
75	87.9	87	88.8	85.7	84.7	86.4
74	87.7	86.7	88.5	85.2	84	85.9
73	87.4	86.4	88.3	84.6	83.4	85.4
72	87.2	86.1	88.1	84.1	82.8	84.9
71	86.9	85.8	87.9	83.6	82.2	84.5
70	86.7	85.5	87.7	83.1	81.7	84.1
69	86.5	85.3	87.6	82.6	81.1	83.6
68	86.3	85	87.4	82.1	80.5	83.2
67	86.1	84.8	87.2	81.6	80	82.8
66	85.9	84.6	87.1	81.2	79.4	82.4
65	85.7	84.4	86.9	80.7	78.9	82.1
64	85.5	84.2	86.8	80.3	78.4	81.7
63	85.4	84	86.7	79.9	77.9	81.4
62	85.2	83.8	86.6	79.4	77.4	81
61	85.1	83.7	86.4	79	76.9	80.7
60	85	83.5	86.3	78.7	76.5	80.4
59	84.8	83.4	86.2	78.3	76	80.1
58	84.7	83.2	86.2	77.9	75.6	79.8
57	84.6	83.1	86.1	77.5	75.2	79.5
56	84.5	83	86	77.2	74.8	79.2
55	84.4	82.9	85.9	76.9	74.4	78.9
54	84.3	82.7	85.9	76.5	74	78.7
53	84.2	82.6	85.8	76.2	73.6	78.4
52	84.1	82.6	85.7	75.9	73.3	78.2
51	84.1	82.5	85.7	75.6	72.9	77.9
50	84	82.4	85.6	75.3	72.6	77.7
49	83.9	82.3	85.6	75	72.2	77.4
48	83.9	82.3	85.5	74.7	71.9	77.2
47	83.8	82.2	85.5	74.4	71.6	77
46	83.8	82.1	85.4	74.2	71.3	76.7
45	83.7	82.1	85.4	73.9	71	76.5
44	83.7	82.1	85.4	73.6	70.7	76.3
43	83.7	82	85.3	73.4	70.4	76.1
42	83.6	82	85.3	73.1	70.2	75.8
41	83.6	82	85.3	72.9	69.9	75.6
40	83.6	81.9	85.2	72.6	69.7	75.4
39	83.6	81.9	85.2	72.4	69.4	75.2
38	83.5	81.9	85.2	72.2	69.2	75
37	83.5	81.8	85.2	72	68.9	74.8
36	83.5	81.8	85.2	71.8	68.7	74.6
35	83.5	81.8	85.1	71.6	68.5	74.5
34	83.5	81.8	85.1	71.4	68.3	74.3
33	83.4	81.8	85.1	71.2	68.1	74.1
32	83.4	81.7	85.1	71	67.9	73.9
31	83.4	81.7	85	70.8	67.7	73.8
30	83.4	81.7	85	70.6	67.5	73.6
29	83.3	81.7	85	70.4	67.3	73.5
28	83.3	81.6	85	70.3	67.1	73.3
27	83.3	81.6	84.9	70.1	66.9	73.2
26	83.3	81.6	84.9	70	66.8	73.1
25	83.2	81.6	84.9	69.9	66.6	73
24	83.2	81.6	84.9	69.7	66.5	72.9
23	83.2	81.6	84.8	69.6	66.3	72.8
22	83.2	81.5	84.8	69.5	66.2	72.7
21	83.2	81.5	84.8	69.4	66.1	72.6
20	83.1	81.5	84.8	69.3	66	72.6
19	83.1	81.5	84.7	69.2	65.9	72.5
18	83.1	81.5	84.7	69.2	65.8	72.4
17	83.1	81.4	84.7	69.1	65.7	72.4
16	83.1	81.4	84.7	69	65.7	72.3
15	83	81.4	84.6	69	65.6	72.3
14	83	81.4	84.6	68.9	65.6	72.3
13	83	81.4	84.6	68.9	65.5	72.2
12	83	81.4	84.6	68.9	65.5	72.2
11	83	81.4	84.5	68.9	65.5	72.2
10	83	81.4	84.5	68.8	65.4	72.2
9	83	81.4	84.5	68.8	65.4	72.1
8	82.9	81.4	84.5	68.8	65.4	72.1
7	82.9	81.4	84.5	68.8	65.4	72.1
6	82.9	81.4	84.4	68.7	65.3	72.1
5	82.9	81.4	84.4	68.7	65.3	72
4	82.9	81.4	84.4	68.6	65.2	72
3	82.9	81.4	84.4	68.5	65.1	71.9
2	82.9	81.4	84.4	68.4	64.9	71.8
1	82.9	81.3	84.4	68.1	64.7	71.5
0	82.6	81.1	84.2	66.7	63.1	70.2

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 Luxembourg can expect to live to 83.4 years compared to 70.6 in South Africa, rising to 85.7 and 80.7 at 65, and to 89.5 and 88.8 at 80 — higher than the 82.6 and 66.7 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Luxembourg and South Africa.

Probability of surviving to a given age

Chart Table

Luxembourg

Male

Female

South Africa

Male

Female

1x

Age	Survival probability
	Luxembourg			South Africa
	Average	Male	Female	Average	Male	Female
100	2.14%	1.24%	2.89%	1.63%	1%	2.22%
99	3.21%	1.93%	4.3%	2.11%	1.28%	2.88%
98	4.66%	2.9%	6.16%	2.68%	1.62%	3.67%
97	6.52%	4.21%	8.52%	3.36%	2.02%	4.59%
96	8.83%	5.91%	11.4%	4.15%	2.5%	5.67%
95	11.6%	8.03%	14.8%	5.06%	3.06%	6.91%
94	14.8%	10.6%	18.6%	6.09%	3.7%	8.3%
93	18.4%	13.6%	22.9%	7.24%	4.43%	9.84%
92	22.4%	17%	27.4%	8.49%	5.25%	11.5%
91	26.6%	20.7%	32.1%	9.86%	6.16%	13.3%
90	31%	24.7%	36.9%	11.3%	7.18%	15.2%
89	35.5%	28.9%	41.7%	12.9%	8.29%	17.3%
88	40%	33.2%	46.4%	14.6%	9.51%	19.4%
87	44.3%	37.6%	50.9%	16.4%	10.8%	21.7%
86	48.6%	41.9%	55.2%	18.2%	12.2%	24%
85	52.6%	46.1%	59.2%	20.1%	13.7%	26.3%
84	56.5%	50.1%	62.9%	22.1%	15.2%	28.6%
83	60%	53.9%	66.2%	24%	16.8%	31%
82	63.3%	57.5%	69.3%	26%	18.5%	33.4%
81	66.3%	60.7%	72%	28.1%	20.2%	35.8%
80	68.9%	63.7%	74.4%	30.2%	22%	38.2%
79	71.4%	66.4%	76.5%	32.3%	23.9%	40.6%
78	73.6%	68.9%	78.5%	34.6%	25.9%	43%
77	75.7%	71.2%	80.3%	36.8%	28%	45.4%
76	77.6%	73.4%	81.9%	39%	30.1%	47.7%
75	79.4%	75.5%	83.4%	41.2%	32.3%	50%
74	81%	77.4%	84.8%	43.4%	34.4%	52.1%
73	82.6%	79.2%	86.1%	45.5%	36.6%	54.2%
72	83.9%	80.9%	87.2%	47.5%	38.7%	56.2%
71	85.2%	82.4%	88.2%	49.6%	40.8%	58.2%
70	86.4%	83.9%	89.1%	51.6%	42.9%	60%
69	87.5%	85.2%	90%	53.5%	45.1%	61.9%
68	88.6%	86.5%	90.8%	55.5%	47.2%	63.6%
67	89.5%	87.6%	91.5%	57.3%	49.3%	65.3%
66	90.4%	88.6%	92.2%	59.2%	51.4%	66.8%
65	91.1%	89.6%	92.8%	60.9%	53.4%	68.3%
64	91.9%	90.5%	93.3%	62.6%	55.4%	69.8%
63	92.5%	91.3%	93.9%	64.2%	57.3%	71.1%
62	93.2%	92.1%	94.3%	65.7%	59.1%	72.4%
61	93.7%	92.8%	94.8%	67.2%	60.9%	73.6%
60	94.3%	93.4%	95.1%	68.7%	62.6%	74.7%
59	94.7%	94%	95.5%	70%	64.3%	75.9%
58	95.2%	94.6%	95.8%	71.4%	65.9%	76.9%
57	95.5%	95%	96%	72.7%	67.5%	78%
56	95.9%	95.5%	96.3%	73.9%	69%	78.9%
55	96.2%	95.9%	96.5%	75.1%	70.5%	79.9%
54	96.5%	96.2%	96.7%	76.2%	71.9%	80.7%
53	96.7%	96.5%	96.9%	77.3%	73.2%	81.6%
52	97%	96.8%	97.1%	78.4%	74.5%	82.4%
51	97.2%	97.1%	97.3%	79.4%	75.7%	83.1%
50	97.4%	97.4%	97.4%	80.3%	76.9%	83.9%
49	97.6%	97.6%	97.6%	81.2%	78%	84.6%
48	97.7%	97.8%	97.7%	82.1%	79.1%	85.3%
47	97.9%	97.9%	97.8%	83%	80.1%	85.9%
46	98%	98.1%	97.9%	83.8%	81.1%	86.6%
45	98.1%	98.2%	98%	84.6%	82%	87.2%
44	98.2%	98.3%	98.1%	85.3%	82.9%	87.8%
43	98.3%	98.4%	98.2%	86%	83.7%	88.4%
42	98.4%	98.5%	98.3%	86.7%	84.5%	89%
41	98.4%	98.5%	98.3%	87.4%	85.3%	89.6%
40	98.5%	98.6%	98.4%	88.1%	86%	90.1%
39	98.6%	98.7%	98.4%	88.7%	86.7%	90.6%
38	98.6%	98.8%	98.4%	89.2%	87.4%	91.1%
37	98.7%	98.8%	98.5%	89.8%	88.1%	91.6%
36	98.7%	98.9%	98.5%	90.4%	88.7%	92%
35	98.7%	98.9%	98.6%	90.9%	89.3%	92.5%
34	98.8%	98.9%	98.6%	91.4%	89.9%	92.9%
33	98.8%	99%	98.7%	91.8%	90.4%	93.3%
32	98.9%	99%	98.7%	92.3%	91%	93.6%
31	98.9%	99.1%	98.8%	92.7%	91.5%	94%
30	99%	99.1%	98.8%	93.1%	91.9%	94.3%
29	99%	99.2%	98.9%	93.5%	92.4%	94.6%
28	99.1%	99.2%	98.9%	93.9%	92.8%	94.9%
27	99.1%	99.2%	99%	94.2%	93.2%	95.2%
26	99.1%	99.3%	99%	94.5%	93.6%	95.4%
25	99.2%	99.3%	99%	94.8%	94%	95.7%
24	99.2%	99.3%	99.1%	95.1%	94.3%	95.9%
23	99.2%	99.4%	99.1%	95.3%	94.6%	96%
22	99.3%	99.4%	99.1%	95.5%	94.9%	96.2%
21	99.3%	99.4%	99.2%	95.7%	95.1%	96.3%
20	99.3%	99.5%	99.2%	95.9%	95.4%	96.5%
19	99.4%	99.5%	99.3%	96.1%	95.6%	96.6%
18	99.4%	99.5%	99.3%	96.2%	95.7%	96.7%
17	99.4%	99.5%	99.3%	96.3%	95.9%	96.8%
16	99.5%	99.6%	99.4%	96.4%	96%	96.9%
15	99.5%	99.6%	99.4%	96.5%	96.1%	97%
14	99.5%	99.6%	99.4%	96.6%	96.2%	97%
13	99.5%	99.6%	99.5%	96.6%	96.2%	97.1%
12	99.6%	99.6%	99.5%	96.7%	96.3%	97.1%
11	99.6%	99.6%	99.5%	96.7%	96.3%	97.1%
10	99.6%	99.6%	99.6%	96.8%	96.4%	97.2%
9	99.6%	99.6%	99.6%	96.8%	96.4%	97.2%
8	99.6%	99.6%	99.6%	96.8%	96.5%	97.2%
7	99.6%	99.6%	99.7%	96.9%	96.5%	97.3%
6	99.6%	99.6%	99.7%	96.9%	96.6%	97.3%
5	99.6%	99.6%	99.7%	97%	96.7%	97.4%
4	99.7%	99.6%	99.7%	97.1%	96.8%	97.4%
3	99.7%	99.6%	99.7%	97.2%	96.9%	97.6%
2	99.7%	99.7%	99.7%	97.5%	97.2%	97.8%
1	99.7%	99.7%	99.8%	97.8%	97.6%	98.1%

This chart shows the odds of living to each age from birth. 94.3% of newborns in Luxembourg and 68.7% in South Africa are expected to live past 60, 86.4% and 51.6% past 70, 68.9% and 30.2% past 80, and only 31% and 11.3% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Luxembourg

Male

Female

South Africa

Male

Female

1x

Age	Probability of dying
	Luxembourg			South Africa
	Average	Male	Female	Average	Male	Female
100	35.8%	38.2%	35.2%	23.6%	22.9%	23.9%
99	33.4%	35.8%	32.8%	22.5%	22%	22.8%
98	31%	33.5%	30.2%	21.3%	21%	21.5%
97	28.6%	31.1%	27.7%	20.2%	20%	20.2%
96	26.2%	28.7%	25.3%	19%	19.1%	19%
95	23.9%	26.4%	22.9%	18%	18.2%	17.9%
94	21.7%	24.1%	20.6%	16.9%	17.3%	16.8%
93	19.6%	22%	18.5%	15.9%	16.5%	15.6%
92	17.7%	20%	16.5%	14.8%	15.6%	14.5%
91	15.8%	18.1%	14.7%	13.8%	14.8%	13.5%
90	14.2%	16.3%	13%	13%	14.1%	12.6%
89	12.6%	14.6%	11.5%	12.3%	13.5%	11.8%
88	11.2%	13%	10.1%	11.5%	12.8%	11.1%
87	9.89%	11.6%	8.85%	10.8%	12.1%	10.3%
86	8.74%	10.3%	7.74%	10.1%	11.4%	9.6%
85	7.69%	9.1%	6.74%	9.43%	10.7%	8.88%
84	6.76%	8.02%	5.86%	8.78%	10%	8.21%
83	5.94%	7.04%	5.07%	8.21%	9.46%	7.62%
82	5.17%	6.15%	4.38%	7.71%	8.97%	7.1%
81	4.48%	5.34%	3.76%	7.3%	8.57%	6.66%
80	3.89%	4.64%	3.24%	6.96%	8.26%	6.28%
79	3.42%	4.08%	2.82%	6.67%	8%	5.94%
78	3.02%	3.63%	2.49%	6.37%	7.73%	5.61%
77	2.73%	3.29%	2.23%	6.06%	7.42%	5.26%
76	2.47%	2.99%	2.01%	5.71%	7.05%	4.89%
75	2.26%	2.74%	1.82%	5.35%	6.64%	4.53%
74	2.04%	2.48%	1.62%	4.98%	6.22%	4.17%
73	1.84%	2.27%	1.44%	4.64%	5.83%	3.85%
72	1.65%	2.06%	1.28%	4.34%	5.49%	3.57%
71	1.5%	1.89%	1.14%	4.09%	5.2%	3.33%
70	1.38%	1.74%	1.04%	3.87%	4.95%	3.12%
69	1.27%	1.6%	0.96%	3.67%	4.72%	2.92%
68	1.16%	1.44%	0.88%	3.48%	4.5%	2.74%
67	1.05%	1.3%	0.8%	3.28%	4.28%	2.55%
66	0.95%	1.17%	0.73%	3.08%	4.04%	2.37%
65	0.86%	1.06%	0.66%	2.88%	3.79%	2.19%
64	0.79%	0.97%	0.6%	2.68%	3.55%	2.03%
63	0.73%	0.9%	0.55%	2.5%	3.32%	1.88%
62	0.67%	0.83%	0.5%	2.34%	3.11%	1.75%
61	0.61%	0.77%	0.44%	2.2%	2.93%	1.65%
60	0.55%	0.7%	0.39%	2.08%	2.76%	1.55%
59	0.5%	0.64%	0.35%	1.98%	2.61%	1.47%
58	0.45%	0.57%	0.32%	1.88%	2.47%	1.39%
57	0.4%	0.51%	0.29%	1.78%	2.33%	1.32%
56	0.36%	0.45%	0.27%	1.68%	2.2%	1.24%
55	0.33%	0.41%	0.25%	1.58%	2.07%	1.16%
54	0.3%	0.37%	0.23%	1.49%	1.94%	1.09%
53	0.27%	0.34%	0.21%	1.4%	1.83%	1.02%
52	0.25%	0.31%	0.19%	1.32%	1.72%	0.96%
51	0.22%	0.28%	0.17%	1.25%	1.62%	0.91%
50	0.2%	0.25%	0.15%	1.19%	1.52%	0.87%
49	0.18%	0.22%	0.14%	1.13%	1.44%	0.84%
48	0.16%	0.19%	0.13%	1.08%	1.35%	0.8%
47	0.14%	0.17%	0.12%	1.03%	1.28%	0.78%
46	0.13%	0.15%	0.11%	0.98%	1.2%	0.75%
45	0.11%	0.13%	0.1%	0.93%	1.13%	0.73%
44	0.1%	0.11%	0.09%	0.88%	1.07%	0.7%
43	0.09%	0.1%	0.07%	0.84%	1.01%	0.68%
42	0.07%	0.08%	0.07%	0.8%	0.95%	0.65%
41	0.07%	0.08%	0.06%	0.76%	0.9%	0.63%
40	0.06%	0.07%	0.05%	0.73%	0.86%	0.6%
39	0.06%	0.07%	0.05%	0.69%	0.82%	0.57%
38	0.05%	0.07%	0.04%	0.66%	0.78%	0.54%
37	0.05%	0.06%	0.04%	0.63%	0.74%	0.51%
36	0.04%	0.05%	0.04%	0.6%	0.71%	0.49%
35	0.04%	0.04%	0.04%	0.57%	0.67%	0.46%
34	0.04%	0.04%	0.05%	0.54%	0.64%	0.44%
33	0.05%	0.04%	0.05%	0.51%	0.61%	0.42%
32	0.05%	0.04%	0.06%	0.49%	0.58%	0.4%
31	0.05%	0.05%	0.05%	0.46%	0.55%	0.38%
30	0.05%	0.05%	0.05%	0.44%	0.52%	0.36%
29	0.05%	0.05%	0.05%	0.41%	0.5%	0.33%
28	0.04%	0.04%	0.05%	0.39%	0.47%	0.31%
27	0.04%	0.03%	0.05%	0.36%	0.44%	0.28%
26	0.03%	0.03%	0.04%	0.33%	0.41%	0.25%
25	0.03%	0.03%	0.04%	0.3%	0.38%	0.23%
24	0.03%	0.03%	0.03%	0.28%	0.35%	0.2%
23	0.03%	0.03%	0.04%	0.25%	0.32%	0.18%
22	0.04%	0.03%	0.04%	0.23%	0.29%	0.17%
21	0.04%	0.04%	0.04%	0.21%	0.26%	0.15%
20	0.04%	0.04%	0.04%	0.19%	0.23%	0.14%
19	0.04%	0.03%	0.04%	0.16%	0.2%	0.13%
18	0.04%	0.03%	0.04%	0.14%	0.18%	0.11%
17	0.03%	0.02%	0.04%	0.12%	0.15%	0.1%
16	0.03%	0.02%	0.04%	0.11%	0.12%	0.09%
15	0.02%	0.01%	0.03%	0.09%	0.1%	0.07%
14	0.02%	0.009%	0.03%	0.07%	0.09%	0.06%
13	0.02%	0.007%	0.04%	0.06%	0.07%	0.05%
12	0.02%	0.005%	0.04%	0.05%	0.06%	0.04%
11	0.02%	0.004%	0.03%	0.04%	0.05%	0.04%
10	0.01%	0.004%	0.03%	0.04%	0.05%	0.03%
9	0.02%	0.004%	0.03%	0.04%	0.05%	0.03%
8	0.02%	0.004%	0.03%	0.04%	0.05%	0.03%
7	0.01%	0.004%	0.02%	0.04%	0.05%	0.04%
6	0.007%	0.004%	0.01%	0.05%	0.06%	0.04%
5	0.005%	0.005%	0.006%	0.07%	0.08%	0.06%
4	0.007%	0.005%	0.008%	0.1%	0.11%	0.08%
3	0.01%	0.007%	0.02%	0.15%	0.17%	0.12%
2	0.02%	0.01%	0.03%	0.22%	0.25%	0.2%
1	0.04%	0.04%	0.05%	0.35%	0.38%	0.32%
0	0.27%	0.31%	0.23%	2.19%	2.44%	1.93%

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

The annual chance of dying is 0.27% in the birth year in Luxembourg and 2.19% in South Africa, 0.05% vs 0.44% at age 30, 0.55% vs 2.08% at 60, and 3.89% vs 6.96% at 80.

Death rate by age in Luxembourg vs South Africa

Chart Table

Luxembourg

Male

Female

South Africa

Male

Female

1x

Age	Death rate
	Luxembourg			South Africa
	Total	Male	Female	Total	Male	Female
100	612	282.4	887	359	204.6	501
99	1,074	692	1,408	475	280.8	655
98	1,443	970	1,862	572	340	787
97	1,862	1,308	2,362	677	406	928
96	2,311	1,696	2,881	789	478	1,077
95	2,774	2,120	3,387	909	558	1,236
94	3,212	2,554	3,846	1,031	642	1,393
93	3,616	2,987	4,236	1,148	729	1,540
92	3,956	3,388	4,533	1,257	818	1,670
91	4,213	3,737	4,726	1,363	912	1,794
90	4,397	4,016	4,811	1,476	1,014	1,924
89	4,488	4,214	4,795	1,585	1,118	2,045
88	4,475	4,327	4,689	1,686	1,220	2,150
87	4,388	4,357	4,508	1,775	1,315	2,238
86	4,245	4,309	4,270	1,845	1,397	2,299
85	4,046	4,194	3,990	1,897	1,467	2,335
84	3,818	4,020	3,682	1,937	1,530	2,353
83	3,562	3,798	3,359	1,972	1,591	2,363
82	3,273	3,535	3,030	2,008	1,656	2,371
81	2,968	3,244	2,707	2,052	1,732	2,383
80	2,684	2,955	2,411	2,102	1,819	2,399
79	2,438	2,709	2,161	2,156	1,914	2,411
78	2,224	2,497	1,953	2,202	2,006	2,410
77	2,065	2,340	1,789	2,228	2,080	2,386
76	1,918	2,192	1,646	2,228	2,126	2,335
75	1,793	2,068	1,516	2,204	2,144	2,262
74	1,649	1,921	1,373	2,161	2,141	2,176
73	1,517	1,799	1,238	2,112	2,132	2,089
72	1,386	1,664	1,111	2,066	2,123	2,008
71	1,280	1,556	1,010	2,028	2,121	1,936
70	1,190	1,457	929	1,997	2,124	1,871
69	1,115	1,363	863	1,966	2,128	1,807
68	1,029	1,247	799	1,929	2,124	1,740
67	941	1,135	735	1,882	2,108	1,667
66	860	1,039	672	1,822	2,074	1,585
65	784	950	611	1,752	2,025	1,500
64	722	878	559	1,679	1,965	1,415
63	675	822	517	1,606	1,901	1,337
62	625	765	471	1,540	1,839	1,269
61	573	711	420	1,482	1,782	1,211
60	521	655	372	1,431	1,730	1,162
59	472	599	333	1,384	1,679	1,116
58	426	538	302	1,339	1,629	1,072
57	383	481	277.4	1,292	1,575	1,026
56	344	427	255.7	1,242	1,519	978
55	316	390	237.8	1,190	1,459	929
54	289.8	356	219.1	1,137	1,397	881
53	265.4	328	199.7	1,085	1,337	835
52	242.3	299.7	182.5	1,037	1,279	795
51	218.6	269.3	166.3	994	1,223	760
50	196	239	151	954	1,171	731
49	175.2	211.6	137.7	918	1,120	707
48	155	183.9	125.9	883	1,071	686
47	139	162.1	116	850	1,022	668
46	125.5	144.2	106.5	818	974	652
45	110.1	124.6	95.1	786	928	635
44	96	108.4	83.5	755	884	619
43	84	94.9	72.9	724	842	601
42	73.7	83.4	63.9	695	804	581
41	67.1	77.1	57	667	770	560
40	62.5	73.9	51	639	738	538
39	57.6	69.9	45.1	613	708	515
38	53.2	65.4	40.7	587	680	492
37	48.6	58.5	38.4	562	653	470
36	43.7	49.2	37.9	538	626	449
35	42.3	43.8	40.7	515	600	429
34	42.7	40	45.6	493	575	410
33	46.1	40.4	52.2	471	551	392
32	48.7	42.1	55.7	450	527	374
31	48.9	44.7	53.2	429	504	355
30	49.7	48.5	51	408	481	335
29	46.4	44.7	48.3	386	458	314
28	43.5	39.3	48	363	434	291.3
27	38.9	32.9	45.4	339	410	266.7
26	33.5	28.5	38.9	314	384	241.5
25	31.5	28.3	34.9	289.1	358	217.1
24	30.9	27.5	34.5	264.7	331	195.1
23	33.4	30	37.1	241.4	304	176
22	36	33.7	38.5	219.2	276.6	159.6
21	37	36.4	37.6	198.1	249	145.6
20	37	37.5	36.5	177.8	221.4	133.1
19	36.2	33	39.4	158	194.2	121.2
18	35.5	27.9	43.3	138.5	167.7	108.8
17	30.8	21.8	40.4	119.5	142.6	96
16	25.7	16.5	35.4	101.4	119.6	82.9
15	23.2	13.2	33.9	85	99.4	70.2
14	21.2	9.46	33.8	70.7	82.4	58.8
13	21.4	7.12	36.2	58.9	68.7	49
12	19.8	5.39	35	49.7	58.1	41.1
11	15.7	4.17	28.2	43	50.5	35.3
10	14.6	3.85	25.9	38.7	45.8	31.6
9	17.2	3.8	31.1	37	43.9	30
8	18.3	4.12	33.2	37.9	45.2	30.6
7	13.9	4.46	23.5	42.2	50.2	34.1
6	7.42	4.34	10.6	51.2	60.6	41.7
5	5.46	4.64	6.31	67.2	79	55.4
4	6.55	4.86	8.31	95.3	110.3	80
3	12	7.18	17	141.9	161.3	121.7
2	20.4	13	28.1	218.6	243.8	192.5
1	40.7	35.7	46	343	375	310
0	270.7	313	225.8	2,192	2,441	1,934

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 Luxembourg, the most common age of death is 89, compared to 77 in South Africa. The median age of death is 85.7 in Luxembourg and 70.8 in South Africa, 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 Luxembourg and South Africa more than their death rates.

Life expectancy in other countries

+ -

1x