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

Life expectancy by current age

Chart Table

Luxembourg

Male

Female

South Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	Luxembourg			South Sudan
	Average	Male	Female	Average	Male	Female
100	102.1	101.9	102.1	101.7	101.6	101.8
99	101.2	101.1	101.2	100.7	100.6	100.8
98	100.4	100.2	100.4	99.8	99.6	99.9
97	99.5	99.4	99.6	98.9	98.7	99
96	98.7	98.5	98.8	98.1	97.8	98.1
95	98	97.7	98.1	97.2	96.9	97.3
94	97.2	97	97.3	96.3	96	96.4
93	96.5	96.2	96.6	95.5	95.1	95.6
92	95.8	95.5	95.9	94.7	94.2	94.8
91	95.1	94.7	95.3	93.8	93.4	94
90	94.5	94.1	94.7	93	92.6	93.2
89	93.8	93.4	94.1	92.2	91.8	92.4
88	93.2	92.8	93.5	91.4	91	91.6
87	92.7	92.1	93	90.6	90.2	90.8
86	92.1	91.6	92.5	89.9	89.4	90.1
85	91.6	91	92	89.1	88.7	89.4
84	91.1	90.5	91.6	88.4	87.9	88.6
83	90.7	90	91.2	87.7	87.2	87.9
82	90.3	89.5	90.8	87	86.5	87.2
81	89.9	89.1	90.4	86.3	85.8	86.6
80	89.5	88.7	90.1	85.6	85.1	85.9
79	89.2	88.3	89.8	85	84.5	85.3
78	88.8	88	89.5	84.4	83.8	84.7
77	88.5	87.6	89.3	83.8	83.2	84.2
76	88.2	87.3	89	83.2	82.6	83.6
75	87.9	87	88.8	82.6	82	83.1
74	87.7	86.7	88.5	82.1	81.5	82.6
73	87.4	86.4	88.3	81.6	80.9	82.1
72	87.2	86.1	88.1	81.1	80.4	81.6
71	86.9	85.8	87.9	80.6	79.8	81.1
70	86.7	85.5	87.7	80.1	79.3	80.7
69	86.5	85.3	87.6	79.7	78.9	80.2
68	86.3	85	87.4	79.2	78.4	79.8
67	86.1	84.8	87.2	78.8	77.9	79.5
66	85.9	84.6	87.1	78.4	77.5	79.1
65	85.7	84.4	86.9	78	77.1	78.7
64	85.5	84.2	86.8	77.6	76.7	78.4
63	85.4	84	86.7	77.3	76.3	78.1
62	85.2	83.8	86.6	76.9	75.9	77.8
61	85.1	83.7	86.4	76.6	75.5	77.5
60	85	83.5	86.3	76.3	75.1	77.2
59	84.8	83.4	86.2	76	74.8	76.9
58	84.7	83.2	86.2	75.7	74.5	76.7
57	84.6	83.1	86.1	75.4	74.1	76.4
56	84.5	83	86	75.1	73.8	76.2
55	84.4	82.9	85.9	74.8	73.5	76
54	84.3	82.7	85.9	74.5	73.2	75.7
53	84.2	82.6	85.8	74.3	72.9	75.5
52	84.1	82.6	85.7	74	72.6	75.3
51	84.1	82.5	85.7	73.8	72.3	75.1
50	84	82.4	85.6	73.5	72	74.8
49	83.9	82.3	85.6	73.3	71.7	74.6
48	83.9	82.3	85.5	73	71.4	74.4
47	83.8	82.2	85.5	72.8	71.2	74.3
46	83.8	82.1	85.4	72.6	70.9	74.1
45	83.7	82.1	85.4	72.4	70.6	73.9
44	83.7	82.1	85.4	72.1	70.4	73.7
43	83.7	82	85.3	71.9	70.1	73.5
42	83.6	82	85.3	71.7	69.9	73.3
41	83.6	82	85.3	71.5	69.6	73.1
40	83.6	81.9	85.2	71.2	69.4	72.9
39	83.6	81.9	85.2	71	69.1	72.7
38	83.5	81.9	85.2	70.8	68.9	72.5
37	83.5	81.8	85.2	70.6	68.6	72.4
36	83.5	81.8	85.2	70.4	68.4	72.2
35	83.5	81.8	85.1	70.2	68.2	72
34	83.5	81.8	85.1	70	67.9	71.8
33	83.4	81.8	85.1	69.8	67.7	71.7
32	83.4	81.7	85.1	69.5	67.4	71.5
31	83.4	81.7	85	69.3	67.2	71.3
30	83.4	81.7	85	69.1	67	71.1
29	83.3	81.7	85	68.9	66.7	71
28	83.3	81.6	85	68.7	66.5	70.8
27	83.3	81.6	84.9	68.5	66.2	70.6
26	83.3	81.6	84.9	68.3	65.9	70.4
25	83.2	81.6	84.9	68	65.7	70.3
24	83.2	81.6	84.9	67.8	65.4	70.1
23	83.2	81.6	84.8	67.6	65.1	70
22	83.2	81.5	84.8	67.4	64.9	69.8
21	83.2	81.5	84.8	67.2	64.6	69.6
20	83.1	81.5	84.8	67	64.4	69.5
19	83.1	81.5	84.7	66.8	64.1	69.3
18	83.1	81.5	84.7	66.6	63.9	69.2
17	83.1	81.4	84.7	66.4	63.7	69
16	83.1	81.4	84.7	66.3	63.5	68.9
15	83	81.4	84.6	66.1	63.4	68.8
14	83	81.4	84.6	66	63.2	68.7
13	83	81.4	84.6	65.8	63.1	68.5
12	83	81.4	84.6	65.7	62.9	68.4
11	83	81.4	84.5	65.5	62.8	68.3
10	83	81.4	84.5	65.4	62.6	68.2
9	83	81.4	84.5	65.2	62.4	68
8	82.9	81.4	84.5	65	62.1	67.8
7	82.9	81.4	84.5	64.7	61.8	67.6
6	82.9	81.4	84.4	64.4	61.5	67.3
5	82.9	81.4	84.4	64	61.1	67
4	82.9	81.4	84.4	63.6	60.6	66.6
3	82.9	81.4	84.4	63.1	60.1	66.1
2	82.9	81.4	84.4	62.5	59.5	65.5
1	82.9	81.3	84.4	61.8	58.9	64.7
0	82.6	81.1	84.2	58	55	61

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 69.1 in South Sudan, rising to 85.7 and 78 at 65, and to 89.5 and 85.6 at 80 — higher than the 82.6 and 58 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Luxembourg

Male

Female

South Sudan

Male

Female

1x

Age	Survival probability
	Luxembourg			South Sudan
	Average	Male	Female	Average	Male	Female
100	2.14%	1.24%	2.89%	0.06%	0.02%	0.1%
99	3.21%	1.93%	4.3%	0.1%	0.03%	0.17%
98	4.66%	2.9%	6.16%	0.17%	0.05%	0.28%
97	6.52%	4.21%	8.52%	0.27%	0.1%	0.44%
96	8.83%	5.91%	11.4%	0.43%	0.16%	0.67%
95	11.6%	8.03%	14.8%	0.64%	0.27%	1%
94	14.8%	10.6%	18.6%	0.94%	0.44%	1.44%
93	18.4%	13.6%	22.9%	1.35%	0.67%	2.01%
92	22.4%	17%	27.4%	1.87%	1%	2.73%
91	26.6%	20.7%	32.1%	2.54%	1.45%	3.62%
90	31%	24.7%	36.9%	3.37%	2.03%	4.7%
89	35.5%	28.9%	41.7%	4.38%	2.76%	5.98%
88	40%	33.2%	46.4%	5.58%	3.65%	7.47%
87	44.3%	37.6%	50.9%	6.96%	4.7%	9.18%
86	48.6%	41.9%	55.2%	8.54%	5.92%	11.1%
85	52.6%	46.1%	59.2%	10.3%	7.31%	13.2%
84	56.5%	50.1%	62.9%	12.3%	8.88%	15.6%
83	60%	53.9%	66.2%	14.4%	10.6%	18%
82	63.3%	57.5%	69.3%	16.6%	12.5%	20.6%
81	66.3%	60.7%	72%	18.9%	14.5%	23.3%
80	68.9%	63.7%	74.4%	21.3%	16.6%	26.1%
79	71.4%	66.4%	76.5%	23.8%	18.8%	28.8%
78	73.6%	68.9%	78.5%	26.3%	21%	31.6%
77	75.7%	71.2%	80.3%	28.8%	23.3%	34.3%
76	77.6%	73.4%	81.9%	31.3%	25.6%	36.9%
75	79.4%	75.5%	83.4%	33.7%	27.9%	39.6%
74	81%	77.4%	84.8%	36.2%	30.2%	42.1%
73	82.6%	79.2%	86.1%	38.5%	32.5%	44.6%
72	83.9%	80.9%	87.2%	40.8%	34.7%	46.9%
71	85.2%	82.4%	88.2%	43%	36.9%	49.2%
70	86.4%	83.9%	89.1%	45.1%	39%	51.3%
69	87.5%	85.2%	90%	47.1%	41%	53.3%
68	88.6%	86.5%	90.8%	49.1%	42.9%	55.2%
67	89.5%	87.6%	91.5%	50.9%	44.8%	57%
66	90.4%	88.6%	92.2%	52.6%	46.6%	58.7%
65	91.1%	89.6%	92.8%	54.2%	48.3%	60.2%
64	91.9%	90.5%	93.3%	55.8%	49.9%	61.7%
63	92.5%	91.3%	93.9%	57.3%	51.5%	63.1%
62	93.2%	92.1%	94.3%	58.6%	53%	64.3%
61	93.7%	92.8%	94.8%	59.9%	54.4%	65.5%
60	94.3%	93.4%	95.1%	61.1%	55.7%	66.6%
59	94.7%	94%	95.5%	62.3%	57%	67.6%
58	95.2%	94.6%	95.8%	63.3%	58.2%	68.6%
57	95.5%	95%	96%	64.4%	59.3%	69.5%
56	95.9%	95.5%	96.3%	65.3%	60.4%	70.3%
55	96.2%	95.9%	96.5%	66.3%	61.5%	71.1%
54	96.5%	96.2%	96.7%	67.2%	62.5%	71.9%
53	96.7%	96.5%	96.9%	68%	63.5%	72.7%
52	97%	96.8%	97.1%	68.9%	64.5%	73.4%
51	97.2%	97.1%	97.3%	69.7%	65.4%	74%
50	97.4%	97.4%	97.4%	70.4%	66.3%	74.7%
49	97.6%	97.6%	97.6%	71.1%	67.1%	75.3%
48	97.7%	97.8%	97.7%	71.8%	67.9%	75.8%
47	97.9%	97.9%	97.8%	72.5%	68.6%	76.4%
46	98%	98.1%	97.9%	73.1%	69.4%	76.9%
45	98.1%	98.2%	98%	73.7%	70.1%	77.4%
44	98.2%	98.3%	98.1%	74.3%	70.8%	77.9%
43	98.3%	98.4%	98.2%	74.9%	71.5%	78.4%
42	98.4%	98.5%	98.3%	75.5%	72.1%	78.9%
41	98.4%	98.5%	98.3%	76.1%	72.8%	79.4%
40	98.5%	98.6%	98.4%	76.6%	73.4%	79.9%
39	98.6%	98.7%	98.4%	77.1%	74%	80.3%
38	98.6%	98.8%	98.4%	77.6%	74.6%	80.8%
37	98.7%	98.8%	98.5%	78.1%	75.2%	81.2%
36	98.7%	98.9%	98.5%	78.6%	75.8%	81.6%
35	98.7%	98.9%	98.6%	79.1%	76.3%	82%
34	98.8%	98.9%	98.6%	79.6%	76.9%	82.4%
33	98.8%	99%	98.7%	80%	77.4%	82.7%
32	98.9%	99%	98.7%	80.5%	77.9%	83.1%
31	98.9%	99.1%	98.8%	80.9%	78.5%	83.5%
30	99%	99.1%	98.8%	81.4%	79%	83.8%
29	99%	99.2%	98.9%	81.8%	79.5%	84.2%
28	99.1%	99.2%	98.9%	82.2%	80.1%	84.5%
27	99.1%	99.2%	99%	82.7%	80.6%	84.9%
26	99.1%	99.3%	99%	83.1%	81.1%	85.2%
25	99.2%	99.3%	99%	83.5%	81.6%	85.5%
24	99.2%	99.3%	99.1%	84%	82.2%	85.8%
23	99.2%	99.4%	99.1%	84.4%	82.7%	86.1%
22	99.3%	99.4%	99.1%	84.8%	83.2%	86.4%
21	99.3%	99.4%	99.2%	85.2%	83.7%	86.7%
20	99.3%	99.5%	99.2%	85.6%	84.2%	87%
19	99.4%	99.5%	99.3%	85.9%	84.7%	87.2%
18	99.4%	99.5%	99.3%	86.2%	85.1%	87.5%
17	99.4%	99.5%	99.3%	86.5%	85.4%	87.7%
16	99.5%	99.6%	99.4%	86.8%	85.7%	87.9%
15	99.5%	99.6%	99.4%	87.1%	86%	88.2%
14	99.5%	99.6%	99.4%	87.3%	86.3%	88.4%
13	99.5%	99.6%	99.5%	87.5%	86.6%	88.5%
12	99.6%	99.6%	99.5%	87.8%	86.8%	88.7%
11	99.6%	99.6%	99.5%	88%	87.1%	88.9%
10	99.6%	99.6%	99.6%	88.3%	87.4%	89.1%
9	99.6%	99.6%	99.6%	88.6%	87.8%	89.4%
8	99.6%	99.6%	99.6%	88.9%	88.2%	89.7%
7	99.6%	99.6%	99.7%	89.3%	88.6%	90%
6	99.6%	99.6%	99.7%	89.8%	89.2%	90.4%
5	99.6%	99.6%	99.7%	90.3%	89.8%	90.9%
4	99.7%	99.6%	99.7%	91%	90.6%	91.5%
3	99.7%	99.6%	99.7%	91.8%	91.4%	92.2%
2	99.7%	99.7%	99.7%	92.7%	92.3%	93.1%
1	99.7%	99.7%	99.8%	93.8%	93.3%	94.2%

This chart shows the odds of living to each age from birth. 94.3% of newborns in Luxembourg and 61.1% in South Sudan are expected to live past 60, 86.4% and 45.1% past 70, 68.9% and 21.3% past 80, and only 31% and 3.37% 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 Sudan

Male

Female

1x

Age	Probability of dying
	Luxembourg			South Sudan
	Average	Male	Female	Average	Male	Female
100	35.8%	38.2%	35.2%	45.7%	49.1%	43.1%
99	33.4%	35.8%	32.8%	43.7%	47.1%	41%
98	31%	33.5%	30.2%	40.5%	45.5%	39.1%
97	28.6%	31.1%	27.7%	37.7%	43.8%	37.1%
96	26.2%	28.7%	25.3%	35.6%	41.9%	35%
95	23.9%	26.4%	22.9%	33.8%	39.8%	32.8%
94	21.7%	24.1%	20.6%	31.9%	37.5%	30.6%
93	19.6%	22%	18.5%	30%	35.2%	28.4%
92	17.7%	20%	16.5%	28.1%	33%	26.4%
91	15.8%	18.1%	14.7%	26.3%	30.8%	24.6%
90	14.2%	16.3%	13%	24.6%	28.6%	22.9%
89	12.6%	14.6%	11.5%	23%	26.4%	21.4%
88	11.2%	13%	10.1%	21.4%	24.3%	20%
87	9.89%	11.6%	8.85%	19.9%	22.4%	18.6%
86	8.74%	10.3%	7.74%	18.5%	20.6%	17.4%
85	7.69%	9.1%	6.74%	17.1%	19%	16.1%
84	6.76%	8.02%	5.86%	15.9%	17.6%	14.9%
83	5.94%	7.04%	5.07%	14.6%	16.3%	13.7%
82	5.17%	6.15%	4.38%	13.5%	15%	12.6%
81	4.48%	5.34%	3.76%	12.4%	13.8%	11.5%
80	3.89%	4.64%	3.24%	11.3%	12.7%	10.5%
79	3.42%	4.08%	2.82%	10.4%	11.7%	9.54%
78	3.02%	3.63%	2.49%	9.47%	10.7%	8.69%
77	2.73%	3.29%	2.23%	8.67%	9.8%	7.92%
76	2.47%	2.99%	2.01%	7.94%	9%	7.23%
75	2.26%	2.74%	1.82%	7.29%	8.28%	6.61%
74	2.04%	2.48%	1.62%	6.69%	7.61%	6.05%
73	1.84%	2.27%	1.44%	6.14%	6.99%	5.52%
72	1.65%	2.06%	1.28%	5.62%	6.41%	5.03%
71	1.5%	1.89%	1.14%	5.13%	5.87%	4.58%
70	1.38%	1.74%	1.04%	4.68%	5.37%	4.16%
69	1.27%	1.6%	0.96%	4.26%	4.91%	3.77%
68	1.16%	1.44%	0.88%	3.9%	4.5%	3.43%
67	1.05%	1.3%	0.8%	3.57%	4.14%	3.12%
66	0.95%	1.17%	0.73%	3.28%	3.83%	2.84%
65	0.86%	1.06%	0.66%	3.02%	3.54%	2.6%
64	0.79%	0.97%	0.6%	2.78%	3.28%	2.37%
63	0.73%	0.9%	0.55%	2.56%	3.04%	2.17%
62	0.67%	0.83%	0.5%	2.35%	2.81%	1.97%
61	0.61%	0.77%	0.44%	2.16%	2.59%	1.8%
60	0.55%	0.7%	0.39%	1.98%	2.39%	1.64%
59	0.5%	0.64%	0.35%	1.82%	2.21%	1.5%
58	0.45%	0.57%	0.32%	1.69%	2.06%	1.39%
57	0.4%	0.51%	0.29%	1.58%	1.93%	1.29%
56	0.36%	0.45%	0.27%	1.49%	1.82%	1.21%
55	0.33%	0.41%	0.25%	1.42%	1.73%	1.15%
54	0.3%	0.37%	0.23%	1.35%	1.65%	1.09%
53	0.27%	0.34%	0.21%	1.28%	1.57%	1.03%
52	0.25%	0.31%	0.19%	1.21%	1.49%	0.97%
51	0.22%	0.28%	0.17%	1.14%	1.41%	0.91%
50	0.2%	0.25%	0.15%	1.07%	1.32%	0.85%
49	0.18%	0.22%	0.14%	1%	1.24%	0.79%
48	0.16%	0.19%	0.13%	0.95%	1.17%	0.75%
47	0.14%	0.17%	0.12%	0.9%	1.11%	0.71%
46	0.13%	0.15%	0.11%	0.86%	1.06%	0.69%
45	0.11%	0.13%	0.1%	0.84%	1.02%	0.67%
44	0.1%	0.11%	0.09%	0.81%	0.99%	0.66%
43	0.09%	0.1%	0.07%	0.79%	0.96%	0.64%
42	0.07%	0.08%	0.07%	0.77%	0.92%	0.63%
41	0.07%	0.08%	0.06%	0.74%	0.89%	0.61%
40	0.06%	0.07%	0.05%	0.71%	0.85%	0.58%
39	0.06%	0.07%	0.05%	0.68%	0.82%	0.56%
38	0.05%	0.07%	0.04%	0.65%	0.79%	0.53%
37	0.05%	0.06%	0.04%	0.63%	0.76%	0.51%
36	0.04%	0.05%	0.04%	0.61%	0.74%	0.49%
35	0.04%	0.04%	0.04%	0.6%	0.73%	0.48%
34	0.04%	0.04%	0.05%	0.59%	0.71%	0.47%
33	0.05%	0.04%	0.05%	0.58%	0.7%	0.46%
32	0.05%	0.04%	0.06%	0.57%	0.69%	0.45%
31	0.05%	0.05%	0.05%	0.56%	0.68%	0.44%
30	0.05%	0.05%	0.05%	0.55%	0.67%	0.43%
29	0.05%	0.05%	0.05%	0.54%	0.66%	0.42%
28	0.04%	0.04%	0.05%	0.53%	0.65%	0.41%
27	0.04%	0.03%	0.05%	0.52%	0.65%	0.39%
26	0.03%	0.03%	0.04%	0.52%	0.65%	0.38%
25	0.03%	0.03%	0.04%	0.51%	0.65%	0.37%
24	0.03%	0.03%	0.03%	0.51%	0.65%	0.36%
23	0.03%	0.03%	0.04%	0.5%	0.65%	0.35%
22	0.04%	0.03%	0.04%	0.49%	0.63%	0.34%
21	0.04%	0.04%	0.04%	0.47%	0.61%	0.33%
20	0.04%	0.04%	0.04%	0.44%	0.57%	0.32%
19	0.04%	0.03%	0.04%	0.41%	0.52%	0.3%
18	0.04%	0.03%	0.04%	0.38%	0.47%	0.29%
17	0.03%	0.02%	0.04%	0.35%	0.42%	0.27%
16	0.03%	0.02%	0.04%	0.32%	0.37%	0.26%
15	0.02%	0.01%	0.03%	0.29%	0.34%	0.24%
14	0.02%	0.009%	0.03%	0.27%	0.31%	0.22%
13	0.02%	0.007%	0.04%	0.26%	0.3%	0.22%
12	0.02%	0.005%	0.04%	0.26%	0.3%	0.22%
11	0.02%	0.004%	0.03%	0.27%	0.32%	0.22%
10	0.01%	0.004%	0.03%	0.3%	0.35%	0.24%
9	0.02%	0.004%	0.03%	0.34%	0.4%	0.27%
8	0.02%	0.004%	0.03%	0.39%	0.47%	0.31%
7	0.01%	0.004%	0.02%	0.45%	0.54%	0.36%
6	0.007%	0.004%	0.01%	0.53%	0.63%	0.43%
5	0.005%	0.005%	0.006%	0.62%	0.71%	0.53%
4	0.007%	0.005%	0.008%	0.73%	0.8%	0.65%
3	0.01%	0.007%	0.02%	0.85%	0.9%	0.8%
2	0.02%	0.01%	0.03%	0.99%	0.99%	0.98%
1	0.04%	0.04%	0.05%	1.16%	1.1%	1.22%
0	0.27%	0.31%	0.23%	6.22%	6.67%	5.75%

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

The annual chance of dying is 0.27% in the birth year in Luxembourg and 6.22% in South Sudan, 0.05% vs 0.55% at age 30, 0.55% vs 1.98% at 60, and 3.89% vs 11.3% at 80.

Death rate by age in Luxembourg vs South Sudan

Chart Table

Luxembourg

Male

Female

South Sudan

Male

Female

1x

Age	Death rate
	Luxembourg			South Sudan
	Total	Male	Female	Total	Male	Female
100	612	282.4	887	0	0	0
99	1,074	692	1,408	44.4	13.7	68.6
98	1,443	970	1,862	69.1	24.4	107.5
97	1,862	1,308	2,362	103.4	41.7	162.1
96	2,311	1,696	2,881	151.7	68.7	235
95	2,774	2,120	3,387	217.2	108.2	328
94	3,212	2,554	3,846	301	163.5	440
93	3,616	2,987	4,236	404	237	571
92	3,956	3,388	4,533	527	331	722
91	4,213	3,737	4,726	670	447	890
90	4,397	4,016	4,811	831	582	1,077
89	4,488	4,214	4,795	1,007	729	1,279
88	4,475	4,327	4,689	1,193	887	1,492
87	4,388	4,357	4,508	1,386	1,052	1,712
86	4,245	4,309	4,270	1,579	1,221	1,929
85	4,046	4,194	3,990	1,767	1,392	2,135
84	3,818	4,020	3,682	1,944	1,562	2,321
83	3,562	3,798	3,359	2,103	1,725	2,478
82	3,273	3,535	3,030	2,237	1,874	2,600
81	2,968	3,244	2,707	2,342	2,003	2,685
80	2,684	2,955	2,411	2,417	2,108	2,734
79	2,438	2,709	2,161	2,465	2,188	2,750
78	2,224	2,497	1,953	2,490	2,246	2,742
77	2,065	2,340	1,789	2,497	2,284	2,714
76	1,918	2,192	1,646	2,485	2,305	2,672
75	1,793	2,068	1,516	2,459	2,311	2,615
74	1,649	1,921	1,373	2,419	2,300	2,546
73	1,517	1,799	1,238	2,364	2,272	2,461
72	1,386	1,664	1,111	2,292	2,226	2,363
71	1,280	1,556	1,010	2,207	2,164	2,252
70	1,190	1,457	929	2,111	2,091	2,133
69	1,115	1,363	863	2,011	2,013	2,011
68	1,029	1,247	799	1,911	1,933	1,891
67	941	1,135	735	1,815	1,855	1,777
66	860	1,039	672	1,724	1,782	1,668
65	784	950	611	1,636	1,710	1,565
64	722	878	559	1,551	1,639	1,464
63	675	822	517	1,465	1,565	1,366
62	625	765	471	1,378	1,488	1,270
61	573	711	420	1,292	1,409	1,178
60	521	655	372	1,210	1,332	1,092
59	472	599	333	1,136	1,260	1,015
58	426	538	302	1,072	1,197	950
57	383	481	277.4	1,018	1,145	896
56	344	427	255.7	976	1,102	853
55	316	390	237.8	939	1,066	816
54	289.8	356	219.1	906	1,033	782
53	265.4	328	199.7	872	999	748
52	242.3	299.7	182.5	835	961	711
51	218.6	269.3	166.3	795	919	672
50	196	239	151	753	875	633
49	175.2	211.6	137.7	713	832	596
48	155	183.9	125.9	679	794	566
47	139	162.1	116	651	762	543
46	125.5	144.2	106.5	631	737	528
45	110.1	124.6	95.1	616	717	519
44	96	108.4	83.5	604	700	512
43	84	94.9	72.9	593	685	506
42	73.7	83.4	63.9	580	667	496
41	67.1	77.1	57	564	648	483
40	62.5	73.9	51	545	628	467
39	57.6	69.9	45.1	526	608	449
38	53.2	65.4	40.7	508	590	431
37	48.6	58.5	38.4	493	575	415
36	43.7	49.2	37.9	481	563	402
35	42.3	43.8	40.7	473	555	392
34	42.7	40	45.6	466	549	384
33	46.1	40.4	52.2	461	544	377
32	48.7	42.1	55.7	456	538	372
31	48.9	44.7	53.2	451	533	366
30	49.7	48.5	51	446	527	359
29	46.4	44.7	48.3	440	523	352
28	43.5	39.3	48	436	522	344
27	38.9	32.9	45.4	432	523	335
26	33.5	28.5	38.9	429	527	325
25	31.5	28.3	34.9	427	532	316
24	30.9	27.5	34.5	424	536	307
23	33.4	30	37.1	420	535	298.4
22	36	33.7	38.5	412	527	290.7
21	37	36.4	37.6	398	508	283.3
20	37	37.5	36.5	379	478	275.1
19	36.2	33	39.4	354	439	265.4
18	35.5	27.9	43.3	327	397	253.5
17	30.8	21.8	40.4	299.3	357	239.3
16	25.7	16.5	35.4	273.6	321	224.4
15	23.2	13.2	33.9	251.3	290.8	210.1
14	21.2	9.46	33.8	235.1	270	198.7
13	21.4	7.12	36.2	226.8	260.1	192
12	19.8	5.39	35	227.9	262.8	191.3
11	15.7	4.17	28.2	239.4	279	198.2
10	14.6	3.85	25.9	262	309	213.5
9	17.2	3.8	31.1	296.8	353	238.8
8	18.3	4.12	33.2	344	411	275.7
7	13.9	4.46	23.5	404	480	326
6	7.42	4.34	10.6	477	558	393
5	5.46	4.64	6.31	561	641	479
4	6.55	4.86	8.31	660	727	591
3	12	7.18	17	776	818	733
2	20.4	13	28.1	915	916	915
1	40.7	35.7	46	1,086	1,027	1,147
0	270.7	313	225.8	6,215	6,667	5,754

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 0 in South Sudan. The median age of death is 85.7 in Luxembourg and 67.5 in South Sudan, 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 Sudan more than their death rates.

Life expectancy in other countries

+ -

1x