Life Expectancy in Luxembourg vs Malawi (1950-2026)

Life expectancy by current age

Chart Table

Luxembourg

Male

Female

Malawi

Male

Female

1x

Current age, years	Total life expectancy, years
	Luxembourg			Malawi
	Average	Male	Female	Average	Male	Female
100	102.1	101.9	102.1	102.1	101.9	102.2
99	101.2	101.1	101.2	101.2	101	101.3
98	100.4	100.2	100.4	100.3	100.1	100.4
97	99.5	99.4	99.6	99.4	99.2	99.5
96	98.7	98.5	98.8	98.6	98.4	98.6
95	98	97.7	98.1	97.7	97.5	97.8
94	97.2	97	97.3	96.9	96.6	97
93	96.5	96.2	96.6	96	95.8	96.1
92	95.8	95.5	95.9	95.2	94.9	95.3
91	95.1	94.7	95.3	94.4	94.1	94.5
90	94.5	94.1	94.7	93.6	93.2	93.8
89	93.8	93.4	94.1	92.8	92.4	93
88	93.2	92.8	93.5	92.1	91.6	92.2
87	92.7	92.1	93	91.3	90.8	91.5
86	92.1	91.6	92.5	90.6	90.1	90.8
85	91.6	91	92	89.8	89.3	90.1
84	91.1	90.5	91.6	89.1	88.5	89.4
83	90.7	90	91.2	88.4	87.8	88.8
82	90.3	89.5	90.8	87.8	87.1	88.2
81	89.9	89.1	90.4	87.2	86.4	87.6
80	89.5	88.7	90.1	86.5	85.8	87
79	89.2	88.3	89.8	85.9	85.1	86.4
78	88.8	88	89.5	85.3	84.5	85.9
77	88.5	87.6	89.3	84.8	83.8	85.3
76	88.2	87.3	89	84.2	83.2	84.8
75	87.9	87	88.8	83.6	82.7	84.3
74	87.7	86.7	88.5	83.1	82.1	83.9
73	87.4	86.4	88.3	82.6	81.5	83.4
72	87.2	86.1	88.1	82.1	81	83
71	86.9	85.8	87.9	81.7	80.5	82.5
70	86.7	85.5	87.7	81.2	80	82.1
69	86.5	85.3	87.6	80.8	79.5	81.8
68	86.3	85	87.4	80.3	79	81.4
67	86.1	84.8	87.2	79.9	78.6	81
66	85.9	84.6	87.1	79.5	78.1	80.7
65	85.7	84.4	86.9	79.2	77.7	80.4
64	85.5	84.2	86.8	78.8	77.3	80
63	85.4	84	86.7	78.5	76.9	79.8
62	85.2	83.8	86.6	78.1	76.5	79.5
61	85.1	83.7	86.4	77.8	76.1	79.2
60	85	83.5	86.3	77.5	75.8	78.9
59	84.8	83.4	86.2	77.2	75.4	78.7
58	84.7	83.2	86.2	76.9	75.1	78.5
57	84.6	83.1	86.1	76.7	74.8	78.2
56	84.5	83	86	76.4	74.5	78
55	84.4	82.9	85.9	76.1	74.2	77.8
54	84.3	82.7	85.9	75.9	73.9	77.6
53	84.2	82.6	85.8	75.6	73.6	77.4
52	84.1	82.6	85.7	75.4	73.3	77.3
51	84.1	82.5	85.7	75.2	73	77.1
50	84	82.4	85.6	75	72.8	76.9
49	83.9	82.3	85.6	74.8	72.5	76.7
48	83.9	82.3	85.5	74.6	72.3	76.6
47	83.8	82.2	85.5	74.4	72.1	76.5
46	83.8	82.1	85.4	74.2	71.9	76.3
45	83.7	82.1	85.4	74	71.7	76.2
44	83.7	82.1	85.4	73.8	71.5	76.1
43	83.7	82	85.3	73.7	71.3	75.9
42	83.6	82	85.3	73.5	71.1	75.8
41	83.6	82	85.3	73.4	70.9	75.7
40	83.6	81.9	85.2	73.3	70.7	75.6
39	83.6	81.9	85.2	73.1	70.6	75.5
38	83.5	81.9	85.2	73	70.4	75.4
37	83.5	81.8	85.2	72.9	70.2	75.3
36	83.5	81.8	85.2	72.7	70.1	75.2
35	83.5	81.8	85.1	72.6	69.9	75.1
34	83.5	81.8	85.1	72.5	69.8	75
33	83.4	81.8	85.1	72.4	69.7	75
32	83.4	81.7	85.1	72.3	69.5	74.9
31	83.4	81.7	85	72.2	69.4	74.8
30	83.4	81.7	85	72.1	69.3	74.7
29	83.3	81.7	85	72	69.2	74.7
28	83.3	81.6	85	71.9	69.1	74.6
27	83.3	81.6	84.9	71.8	68.9	74.5
26	83.3	81.6	84.9	71.7	68.8	74.5
25	83.2	81.6	84.9	71.6	68.7	74.4
24	83.2	81.6	84.9	71.6	68.6	74.3
23	83.2	81.6	84.8	71.5	68.5	74.3
22	83.2	81.5	84.8	71.4	68.4	74.2
21	83.2	81.5	84.8	71.3	68.3	74.2
20	83.1	81.5	84.8	71.2	68.2	74.1
19	83.1	81.5	84.7	71.2	68.1	74.1
18	83.1	81.5	84.7	71.1	68	74
17	83.1	81.4	84.7	71	68	74
16	83.1	81.4	84.7	71	67.9	73.9
15	83	81.4	84.6	70.9	67.8	73.9
14	83	81.4	84.6	70.9	67.8	73.9
13	83	81.4	84.6	70.9	67.8	73.8
12	83	81.4	84.6	70.8	67.7	73.8
11	83	81.4	84.5	70.8	67.7	73.8
10	83	81.4	84.5	70.7	67.6	73.7
9	83	81.4	84.5	70.7	67.6	73.7
8	82.9	81.4	84.5	70.7	67.5	73.6
7	82.9	81.4	84.5	70.6	67.5	73.6
6	82.9	81.4	84.4	70.5	67.4	73.5
5	82.9	81.4	84.4	70.5	67.4	73.5
4	82.9	81.4	84.4	70.4	67.3	73.4
3	82.9	81.4	84.4	70.3	67.1	73.3
2	82.9	81.4	84.4	70.1	67	73.1
1	82.9	81.3	84.4	69.8	66.7	72.9
0	82.6	81.1	84.2	67.9	64.6	71.1

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 72.1 in Malawi, rising to 85.7 and 79.2 at 65, and to 89.5 and 86.5 at 80 — higher than the 82.6 and 67.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Luxembourg

Male

Female

Malawi

Male

Female

1x

Age	Survival probability
	Luxembourg			Malawi
	Average	Male	Female	Average	Male	Female
100	2.14%	1.24%	2.89%	0.28%	0.11%	0.45%
99	3.21%	1.93%	4.3%	0.42%	0.17%	0.68%
98	4.66%	2.9%	6.16%	0.63%	0.26%	1%
97	6.52%	4.21%	8.52%	0.91%	0.4%	1.43%
96	8.83%	5.91%	11.4%	1.29%	0.58%	2.01%
95	11.6%	8.03%	14.8%	1.8%	0.84%	2.76%
94	14.8%	10.6%	18.6%	2.44%	1.19%	3.7%
93	18.4%	13.6%	22.9%	3.24%	1.64%	4.85%
92	22.4%	17%	27.4%	4.23%	2.22%	6.24%
91	26.6%	20.7%	32.1%	5.39%	2.93%	7.85%
90	31%	24.7%	36.9%	6.79%	3.82%	9.75%
89	35.5%	28.9%	41.7%	8.39%	4.88%	11.9%
88	40%	33.2%	46.4%	10.2%	6.14%	14.2%
87	44.3%	37.6%	50.9%	12.2%	7.6%	16.8%
86	48.6%	41.9%	55.2%	14.5%	9.26%	19.6%
85	52.6%	46.1%	59.2%	16.9%	11.1%	22.5%
84	56.5%	50.1%	62.9%	19.5%	13.2%	25.6%
83	60%	53.9%	66.2%	22.1%	15.4%	28.7%
82	63.3%	57.5%	69.3%	24.9%	17.8%	31.9%
81	66.3%	60.7%	72%	27.7%	20.2%	35%
80	68.9%	63.7%	74.4%	30.6%	22.8%	38.2%
79	71.4%	66.4%	76.5%	33.5%	25.5%	41.3%
78	73.6%	68.9%	78.5%	36.4%	28.2%	44.4%
77	75.7%	71.2%	80.3%	39.3%	31%	47.4%
76	77.6%	73.4%	81.9%	42.1%	33.7%	50.3%
75	79.4%	75.5%	83.4%	44.9%	36.5%	53.1%
74	81%	77.4%	84.8%	47.7%	39.2%	55.8%
73	82.6%	79.2%	86.1%	50.3%	41.9%	58.4%
72	83.9%	80.9%	87.2%	52.9%	44.6%	60.9%
71	85.2%	82.4%	88.2%	55.3%	47.1%	63.2%
70	86.4%	83.9%	89.1%	57.7%	49.6%	65.4%
69	87.5%	85.2%	90%	59.9%	52%	67.4%
68	88.6%	86.5%	90.8%	62.1%	54.3%	69.4%
67	89.5%	87.6%	91.5%	64.1%	56.5%	71.2%
66	90.4%	88.6%	92.2%	66%	58.7%	72.9%
65	91.1%	89.6%	92.8%	67.8%	60.7%	74.5%
64	91.9%	90.5%	93.3%	69.5%	62.7%	76%
63	92.5%	91.3%	93.9%	71.1%	64.6%	77.4%
62	93.2%	92.1%	94.3%	72.7%	66.4%	78.7%
61	93.7%	92.8%	94.8%	74.1%	68.1%	79.9%
60	94.3%	93.4%	95.1%	75.4%	69.7%	81%
59	94.7%	94%	95.5%	76.6%	71.2%	82%
58	95.2%	94.6%	95.8%	77.8%	72.6%	83%
57	95.5%	95%	96%	78.9%	74%	83.8%
56	95.9%	95.5%	96.3%	80%	75.2%	84.7%
55	96.2%	95.9%	96.5%	81%	76.5%	85.5%
54	96.5%	96.2%	96.7%	81.9%	77.6%	86.2%
53	96.7%	96.5%	96.9%	82.8%	78.7%	86.9%
52	97%	96.8%	97.1%	83.7%	79.8%	87.5%
51	97.2%	97.1%	97.3%	84.5%	80.7%	88.1%
50	97.4%	97.4%	97.4%	85.2%	81.7%	88.7%
49	97.6%	97.6%	97.6%	85.9%	82.5%	89.2%
48	97.7%	97.8%	97.7%	86.6%	83.3%	89.7%
47	97.9%	97.9%	97.8%	87.2%	84.1%	90.1%
46	98%	98.1%	97.9%	87.7%	84.8%	90.5%
45	98.1%	98.2%	98%	88.3%	85.5%	90.9%
44	98.2%	98.3%	98.1%	88.8%	86.1%	91.3%
43	98.3%	98.4%	98.2%	89.2%	86.7%	91.6%
42	98.4%	98.5%	98.3%	89.7%	87.3%	92%
41	98.4%	98.5%	98.3%	90.1%	87.8%	92.3%
40	98.5%	98.6%	98.4%	90.5%	88.3%	92.5%
39	98.6%	98.7%	98.4%	90.8%	88.8%	92.8%
38	98.6%	98.8%	98.4%	91.2%	89.3%	93.1%
37	98.7%	98.8%	98.5%	91.5%	89.7%	93.3%
36	98.7%	98.9%	98.5%	91.8%	90.1%	93.5%
35	98.7%	98.9%	98.6%	92.1%	90.5%	93.7%
34	98.8%	98.9%	98.6%	92.4%	90.8%	93.9%
33	98.8%	99%	98.7%	92.6%	91.1%	94.1%
32	98.9%	99%	98.7%	92.9%	91.5%	94.3%
31	98.9%	99.1%	98.8%	93.1%	91.8%	94.4%
30	99%	99.1%	98.8%	93.3%	92.1%	94.6%
29	99%	99.2%	98.9%	93.5%	92.3%	94.7%
28	99.1%	99.2%	98.9%	93.7%	92.6%	94.9%
27	99.1%	99.2%	99%	93.9%	92.9%	95%
26	99.1%	99.3%	99%	94.1%	93.1%	95.1%
25	99.2%	99.3%	99%	94.3%	93.3%	95.2%
24	99.2%	99.3%	99.1%	94.5%	93.6%	95.4%
23	99.2%	99.4%	99.1%	94.6%	93.8%	95.5%
22	99.3%	99.4%	99.1%	94.8%	94%	95.6%
21	99.3%	99.4%	99.2%	94.9%	94.2%	95.7%
20	99.3%	99.5%	99.2%	95.1%	94.4%	95.8%
19	99.4%	99.5%	99.3%	95.2%	94.6%	95.9%
18	99.4%	99.5%	99.3%	95.3%	94.7%	96%
17	99.4%	99.5%	99.3%	95.4%	94.9%	96%
16	99.5%	99.6%	99.4%	95.5%	95%	96.1%
15	99.5%	99.6%	99.4%	95.6%	95.1%	96.2%
14	99.5%	99.6%	99.4%	95.7%	95.2%	96.2%
13	99.5%	99.6%	99.5%	95.8%	95.2%	96.3%
12	99.6%	99.6%	99.5%	95.8%	95.3%	96.3%
11	99.6%	99.6%	99.5%	95.9%	95.4%	96.4%
10	99.6%	99.6%	99.6%	95.9%	95.4%	96.4%
9	99.6%	99.6%	99.6%	96%	95.5%	96.5%
8	99.6%	99.6%	99.6%	96.1%	95.6%	96.5%
7	99.6%	99.6%	99.7%	96.1%	95.7%	96.6%
6	99.6%	99.6%	99.7%	96.2%	95.8%	96.7%
5	99.6%	99.6%	99.7%	96.3%	95.9%	96.8%
4	99.7%	99.6%	99.7%	96.5%	96%	96.9%
3	99.7%	99.6%	99.7%	96.6%	96.2%	97%
2	99.7%	99.7%	99.7%	96.9%	96.5%	97.3%
1	99.7%	99.7%	99.8%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 94.3% of newborns in Luxembourg and 75.4% in Malawi are expected to live past 60, 86.4% and 57.7% past 70, 68.9% and 30.6% past 80, and only 31% and 6.79% 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

Malawi

Male

Female

1x

Age	Probability of dying
	Luxembourg			Malawi
	Average	Male	Female	Average	Male	Female
100	35.8%	38.2%	35.2%	35.9%	38.2%	35.3%
99	33.4%	35.8%	32.8%	34.4%	36.8%	33.8%
98	31%	33.5%	30.2%	32.6%	35.1%	31.9%
97	28.6%	31.1%	27.7%	31.2%	33.7%	30.4%
96	26.2%	28.7%	25.3%	29.7%	32.3%	28.8%
95	23.9%	26.4%	22.9%	28.1%	30.8%	27.2%
94	21.7%	24.1%	20.6%	26.3%	29.1%	25.4%
93	19.6%	22%	18.5%	24.7%	27.5%	23.7%
92	17.7%	20%	16.5%	23.3%	26%	22.2%
91	15.8%	18.1%	14.7%	21.6%	24.4%	20.5%
90	14.2%	16.3%	13%	20.6%	23.3%	19.5%
89	12.6%	14.6%	11.5%	19%	21.7%	17.8%
88	11.2%	13%	10.1%	17.8%	20.5%	16.6%
87	9.89%	11.6%	8.85%	16.6%	19.2%	15.3%
86	8.74%	10.3%	7.74%	15.4%	18%	14.2%
85	7.69%	9.1%	6.74%	14.3%	16.7%	13.1%
84	6.76%	8.02%	5.86%	13.3%	15.6%	12%
83	5.94%	7.04%	5.07%	12.1%	14.4%	10.9%
82	5.17%	6.15%	4.38%	11.1%	13.3%	9.93%
81	4.48%	5.34%	3.76%	10.1%	12.1%	8.87%
80	3.89%	4.64%	3.24%	9.44%	11.4%	8.27%
79	3.42%	4.08%	2.82%	8.65%	10.4%	7.55%
78	3.02%	3.63%	2.49%	8.01%	9.69%	6.95%
77	2.73%	3.29%	2.23%	7.31%	8.88%	6.31%
76	2.47%	2.99%	2.01%	6.76%	8.21%	5.8%
75	2.26%	2.74%	1.82%	6.27%	7.59%	5.34%
74	2.04%	2.48%	1.62%	5.75%	6.98%	4.86%
73	1.84%	2.27%	1.44%	5.28%	6.42%	4.43%
72	1.65%	2.06%	1.28%	4.86%	5.92%	4.05%
71	1.5%	1.89%	1.14%	4.4%	5.38%	3.63%
70	1.38%	1.74%	1.04%	4.11%	5.03%	3.39%
69	1.27%	1.6%	0.96%	3.72%	4.59%	3.03%
68	1.16%	1.44%	0.88%	3.43%	4.25%	2.78%
67	1.05%	1.3%	0.8%	3.15%	3.93%	2.54%
66	0.95%	1.17%	0.73%	2.9%	3.64%	2.33%
65	0.86%	1.06%	0.66%	2.7%	3.4%	2.17%
64	0.79%	0.97%	0.6%	2.47%	3.15%	1.97%
63	0.73%	0.9%	0.55%	2.27%	2.92%	1.8%
62	0.67%	0.83%	0.5%	2.09%	2.7%	1.65%
61	0.61%	0.77%	0.44%	1.9%	2.48%	1.49%
60	0.55%	0.7%	0.39%	1.77%	2.32%	1.39%
59	0.5%	0.64%	0.35%	1.62%	2.12%	1.25%
58	0.45%	0.57%	0.32%	1.5%	1.97%	1.15%
57	0.4%	0.51%	0.29%	1.4%	1.83%	1.06%
56	0.36%	0.45%	0.27%	1.31%	1.7%	0.98%
55	0.33%	0.41%	0.25%	1.23%	1.59%	0.91%
54	0.3%	0.37%	0.23%	1.16%	1.49%	0.85%
53	0.27%	0.34%	0.21%	1.09%	1.39%	0.79%
52	0.25%	0.31%	0.19%	1.02%	1.3%	0.74%
51	0.22%	0.28%	0.17%	0.94%	1.21%	0.67%
50	0.2%	0.25%	0.15%	0.89%	1.14%	0.63%
49	0.18%	0.22%	0.14%	0.82%	1.05%	0.58%
48	0.16%	0.19%	0.13%	0.76%	0.98%	0.54%
47	0.14%	0.17%	0.12%	0.7%	0.91%	0.5%
46	0.13%	0.15%	0.11%	0.65%	0.84%	0.46%
45	0.11%	0.13%	0.1%	0.6%	0.79%	0.43%
44	0.1%	0.11%	0.09%	0.56%	0.74%	0.4%
43	0.09%	0.1%	0.07%	0.52%	0.69%	0.37%
42	0.07%	0.08%	0.07%	0.49%	0.65%	0.35%
41	0.07%	0.08%	0.06%	0.45%	0.6%	0.33%
40	0.06%	0.07%	0.05%	0.43%	0.57%	0.31%
39	0.06%	0.07%	0.05%	0.4%	0.53%	0.29%
38	0.05%	0.07%	0.04%	0.38%	0.5%	0.27%
37	0.05%	0.06%	0.04%	0.35%	0.47%	0.25%
36	0.04%	0.05%	0.04%	0.33%	0.44%	0.23%
35	0.04%	0.04%	0.04%	0.31%	0.42%	0.22%
34	0.04%	0.04%	0.05%	0.29%	0.39%	0.21%
33	0.05%	0.04%	0.05%	0.28%	0.37%	0.19%
32	0.05%	0.04%	0.06%	0.26%	0.35%	0.18%
31	0.05%	0.05%	0.05%	0.25%	0.33%	0.17%
30	0.05%	0.05%	0.05%	0.24%	0.32%	0.16%
29	0.05%	0.05%	0.05%	0.23%	0.3%	0.15%
28	0.04%	0.04%	0.05%	0.22%	0.29%	0.15%
27	0.04%	0.03%	0.05%	0.21%	0.27%	0.14%
26	0.03%	0.03%	0.04%	0.2%	0.26%	0.13%
25	0.03%	0.03%	0.04%	0.19%	0.25%	0.13%
24	0.03%	0.03%	0.03%	0.18%	0.24%	0.12%
23	0.03%	0.03%	0.04%	0.18%	0.24%	0.12%
22	0.04%	0.03%	0.04%	0.17%	0.23%	0.11%
21	0.04%	0.04%	0.04%	0.16%	0.21%	0.11%
20	0.04%	0.04%	0.04%	0.15%	0.2%	0.1%
19	0.04%	0.03%	0.04%	0.14%	0.19%	0.1%
18	0.04%	0.03%	0.04%	0.13%	0.17%	0.09%
17	0.03%	0.02%	0.04%	0.11%	0.15%	0.08%
16	0.03%	0.02%	0.04%	0.1%	0.12%	0.08%
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%	0.07%	0.08%	0.06%
12	0.02%	0.005%	0.04%	0.06%	0.07%	0.05%
11	0.02%	0.004%	0.03%	0.06%	0.07%	0.05%
10	0.01%	0.004%	0.03%	0.06%	0.07%	0.05%
9	0.02%	0.004%	0.03%	0.07%	0.07%	0.06%
8	0.02%	0.004%	0.03%	0.07%	0.08%	0.06%
7	0.01%	0.004%	0.02%	0.08%	0.09%	0.07%
6	0.007%	0.004%	0.01%	0.09%	0.1%	0.08%
5	0.005%	0.005%	0.006%	0.1%	0.11%	0.09%
4	0.007%	0.005%	0.008%	0.13%	0.14%	0.12%
3	0.01%	0.007%	0.02%	0.17%	0.19%	0.16%
2	0.02%	0.01%	0.03%	0.25%	0.27%	0.22%
1	0.04%	0.04%	0.05%	0.39%	0.42%	0.36%
0	0.27%	0.31%	0.23%	2.76%	3.13%	2.38%

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

The annual chance of dying is 0.27% in the birth year in Luxembourg and 2.76% in Malawi, 0.05% vs 0.24% at age 30, 0.55% vs 1.77% at 60, and 3.89% vs 9.44% at 80.

Death rate by age in Luxembourg vs Malawi

Chart Table

Luxembourg

Male

Female

Malawi

Male

Female

1x

Age	Death rate
	Luxembourg			Malawi
	Total	Male	Female	Total	Male	Female
100	612	282.4	887	34.7	0.008	71
99	1,074	692	1,408	145.2	62.6	229.1
98	1,443	970	1,862	204.3	91.9	318
97	1,862	1,308	2,362	283.6	133.3	435
96	2,311	1,696	2,881	384	188.4	580
95	2,774	2,120	3,387	505	259.5	751
94	3,212	2,554	3,846	643	345	939
93	3,616	2,987	4,236	802	451	1,153
92	3,956	3,388	4,533	983	576	1,387
91	4,213	3,737	4,726	1,166	714	1,612
90	4,397	4,016	4,811	1,399	890	1,900
89	4,488	4,214	4,795	1,594	1,061	2,117
88	4,475	4,327	4,689	1,819	1,259	2,365
87	4,388	4,357	4,508	2,026	1,457	2,578
86	4,245	4,309	4,270	2,231	1,664	2,778
85	4,046	4,194	3,990	2,412	1,861	2,944
84	3,818	4,020	3,682	2,577	2,061	3,073
83	3,562	3,798	3,359	2,684	2,217	3,131
82	3,273	3,535	3,030	2,777	2,368	3,168
81	2,968	3,244	2,707	2,788	2,455	3,104
80	2,684	2,955	2,411	2,887	2,601	3,158
79	2,438	2,709	2,161	2,894	2,661	3,115
78	2,224	2,497	1,953	2,915	2,734	3,085
77	2,065	2,340	1,789	2,869	2,749	2,989
76	1,918	2,192	1,646	2,847	2,770	2,916
75	1,793	2,068	1,516	2,815	2,769	2,834
74	1,649	1,921	1,373	2,739	2,737	2,711
73	1,517	1,799	1,238	2,655	2,691	2,586
72	1,386	1,664	1,111	2,572	2,639	2,467
71	1,280	1,556	1,010	2,433	2,537	2,293
70	1,190	1,457	929	2,371	2,494	2,214
69	1,115	1,363	863	2,226	2,386	2,040
68	1,029	1,247	799	2,127	2,309	1,930
67	941	1,135	735	2,016	2,222	1,808
66	860	1,039	672	1,912	2,137	1,699
65	784	950	611	1,828	2,067	1,615
64	722	878	559	1,716	1,973	1,499
63	675	822	517	1,612	1,883	1,395
62	625	765	471	1,516	1,794	1,300
61	573	711	420	1,405	1,687	1,188
60	521	655	372	1,338	1,616	1,125
59	472	599	333	1,239	1,510	1,025
58	426	538	302	1,171	1,430	958
57	383	481	277.4	1,102	1,350	887
56	344	427	255.7	1,048	1,282	833
55	316	390	237.8	996	1,219	778
54	289.8	356	219.1	949	1,157	731
53	265.4	328	199.7	900	1,096	684
52	242.3	299.7	182.5	855	1,040	645
51	218.6	269.3	166.3	798	975	592
50	196	239	151	759	929	563
49	175.2	211.6	137.7	702	865	517
48	155	183.9	125.9	655	813	482
47	139	162.1	116	609	762	446
46	125.5	144.2	106.5	568	716	416
45	110.1	124.6	95.1	533	677	392
44	96	108.4	83.5	496	634	365
43	84	94.9	72.9	465	598	343
42	73.7	83.4	63.9	438	566	324
41	67.1	77.1	57	408	530	299.9
40	62.5	73.9	51	388	506	285.2
39	57.6	69.9	45.1	363	474	265.1
38	53.2	65.4	40.7	343	449	249.3
37	48.6	58.5	38.4	322	423	232
36	43.7	49.2	37.9	304	399	218.8
35	42.3	43.8	40.7	288.1	378	205.9
34	42.7	40	45.6	271.5	356	192.6
33	46.1	40.4	52.2	257	337	181.7
32	48.7	42.1	55.7	244.2	320	171.7
31	48.9	44.7	53.2	230.4	302	160.6
30	49.7	48.5	51	222	290.7	154.7
29	46.4	44.7	48.3	210.9	276.4	146.2
28	43.5	39.3	48	201.9	265	139.1
27	38.9	32.9	45.4	193.4	254.5	132.5
26	33.5	28.5	38.9	185.6	245.1	126.3
25	31.5	28.3	34.9	178.7	237.2	120.4
24	30.9	27.5	34.5	172.2	229	115.6
23	33.4	30	37.1	165.6	221	110.5
22	36	33.7	38.5	158.7	211.8	105.8
21	37	36.4	37.6	151	201	101.2
20	37	37.5	36.5	143.1	189.1	97.4
19	36.2	33	39.4	133.8	175.4	92.3
18	35.5	27.9	43.3	123.3	160.2	86.6
17	30.8	21.8	40.4	108.6	137.6	79.6
16	25.7	16.5	35.4	94.9	117	72.7
15	23.2	13.2	33.9	82	98.8	65.2
14	21.2	9.46	33.8	71.7	85	58.4
13	21.4	7.12	36.2	64.5	75.3	53.7
12	19.8	5.39	35	60.4	70.1	50.6
11	15.7	4.17	28.2	59	68.1	49.8
10	14.6	3.85	25.9	59.7	68.2	51.1
9	17.2	3.8	31.1	62.8	71.3	54.1
8	18.3	4.12	33.2	68.3	77.3	59.2
7	13.9	4.46	23.5	76.3	85.7	66.7
6	7.42	4.34	10.6	85.9	95.4	76.4
5	5.46	4.64	6.31	100.2	110	90.4
4	6.55	4.86	8.31	126.8	139.2	114.2
3	12	7.18	17	168.3	184.6	151.7
2	20.4	13	28.1	237.5	258.9	215.8
1	40.7	35.7	46	379	404	353
0	270.7	313	225.8	2,759	3,129	2,385

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 78 in Malawi. The median age of death is 85.7 in Luxembourg and 73.1 in Malawi, 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 Malawi more than their death rates.

Life expectancy in other countries

+ -

1x