Life Expectancy in Luxembourg vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Luxembourg

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Luxembourg			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	102.1	101.9	102.1	102.2	101.9	102.2
99	101.2	101.1	101.2	101.2	101	101.3
98	100.4	100.2	100.4	100.4	100.1	100.4
97	99.5	99.4	99.6	99.5	99.2	99.5
96	98.7	98.5	98.8	98.6	98.4	98.7
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	95.7	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	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	91.6	92.2
87	92.7	92.1	93	91.2	90.8	91.5
86	92.1	91.6	92.5	90.5	90	90.8
85	91.6	91	92	89.8	89.2	90.1
84	91.1	90.5	91.6	89	88.4	89.4
83	90.7	90	91.2	88.4	87.7	88.7
82	90.3	89.5	90.8	87.7	87	88.1
81	89.9	89.1	90.4	87	86.3	87.5
80	89.5	88.7	90.1	86.4	85.6	86.9
79	89.2	88.3	89.8	85.8	84.9	86.3
78	88.8	88	89.5	85.1	84.2	85.7
77	88.5	87.6	89.3	84.5	83.6	85.2
76	88.2	87.3	89	83.9	83	84.6
75	87.9	87	88.8	83.4	82.3	84.1
74	87.7	86.7	88.5	82.8	81.7	83.5
73	87.4	86.4	88.3	82.2	81.2	83
72	87.2	86.1	88.1	81.7	80.6	82.5
71	86.9	85.8	87.9	81.2	80	82.1
70	86.7	85.5	87.7	80.7	79.5	81.6
69	86.5	85.3	87.6	80.2	79	81.1
68	86.3	85	87.4	79.7	78.4	80.7
67	86.1	84.8	87.2	79.2	77.9	80.2
66	85.9	84.6	87.1	78.8	77.5	79.8
65	85.7	84.4	86.9	78.3	77	79.4
64	85.5	84.2	86.8	77.9	76.5	79
63	85.4	84	86.7	77.5	76.1	78.6
62	85.2	83.8	86.6	77.1	75.6	78.2
61	85.1	83.7	86.4	76.7	75.2	77.9
60	85	83.5	86.3	76.3	74.8	77.5
59	84.8	83.4	86.2	75.9	74.4	77.2
58	84.7	83.2	86.2	75.6	74	76.9
57	84.6	83.1	86.1	75.2	73.6	76.6
56	84.5	83	86	74.9	73.2	76.3
55	84.4	82.9	85.9	74.6	72.8	76
54	84.3	82.7	85.9	74.2	72.5	75.7
53	84.2	82.6	85.8	73.9	72.1	75.4
52	84.1	82.6	85.7	73.6	71.8	75.1
51	84.1	82.5	85.7	73.3	71.4	74.8
50	84	82.4	85.6	73	71.1	74.6
49	83.9	82.3	85.6	72.7	70.8	74.3
48	83.9	82.3	85.5	72.5	70.5	74
47	83.8	82.2	85.5	72.2	70.2	73.8
46	83.8	82.1	85.4	71.9	69.9	73.6
45	83.7	82.1	85.4	71.7	69.6	73.3
44	83.7	82.1	85.4	71.4	69.3	73.1
43	83.7	82	85.3	71.2	69	72.9
42	83.6	82	85.3	70.9	68.7	72.7
41	83.6	82	85.3	70.7	68.5	72.5
40	83.6	81.9	85.2	70.5	68.2	72.2
39	83.6	81.9	85.2	70.2	68	72
38	83.5	81.9	85.2	70	67.8	71.9
37	83.5	81.8	85.2	69.8	67.5	71.7
36	83.5	81.8	85.2	69.6	67.3	71.5
35	83.5	81.8	85.1	69.4	67.1	71.3
34	83.5	81.8	85.1	69.2	66.9	71.1
33	83.4	81.8	85.1	69	66.7	71
32	83.4	81.7	85.1	68.9	66.5	70.8
31	83.4	81.7	85	68.7	66.3	70.6
30	83.4	81.7	85	68.5	66.2	70.5
29	83.3	81.7	85	68.4	66	70.4
28	83.3	81.6	85	68.2	65.8	70.2
27	83.3	81.6	84.9	68.1	65.7	70.1
26	83.3	81.6	84.9	68	65.5	70
25	83.2	81.6	84.9	67.8	65.4	69.8
24	83.2	81.6	84.9	67.7	65.3	69.7
23	83.2	81.6	84.8	67.6	65.1	69.6
22	83.2	81.5	84.8	67.5	65	69.5
21	83.2	81.5	84.8	67.4	64.9	69.4
20	83.1	81.5	84.8	67.3	64.8	69.3
19	83.1	81.5	84.7	67.2	64.7	69.3
18	83.1	81.5	84.7	67.1	64.6	69.2
17	83.1	81.4	84.7	67	64.5	69.1
16	83.1	81.4	84.7	67	64.4	69.1
15	83	81.4	84.6	66.9	64.4	69
14	83	81.4	84.6	66.8	64.3	69
13	83	81.4	84.6	66.8	64.3	68.9
12	83	81.4	84.6	66.8	64.2	68.9
11	83	81.4	84.5	66.7	64.2	68.8
10	83	81.4	84.5	66.7	64.2	68.8
9	83	81.4	84.5	66.6	64.1	68.8
8	82.9	81.4	84.5	66.6	64.1	68.7
7	82.9	81.4	84.5	66.5	64	68.7
6	82.9	81.4	84.4	66.5	64	68.6
5	82.9	81.4	84.4	66.4	63.9	68.5
4	82.9	81.4	84.4	66.3	63.8	68.4
3	82.9	81.4	84.4	66.2	63.6	68.3
2	82.9	81.4	84.4	66	63.5	68.1
1	82.9	81.3	84.4	65.6	63.2	67.7
0	82.6	81.1	84.2	63.6	61	65.9

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 68.5 in Zimbabwe, rising to 85.7 and 78.3 at 65, and to 89.5 and 86.4 at 80 — higher than the 82.6 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Luxembourg

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Luxembourg			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	2.14%	1.24%	2.89%	0.2%	0.07%	0.33%
99	3.21%	1.93%	4.3%	0.31%	0.12%	0.5%
98	4.66%	2.9%	6.16%	0.46%	0.18%	0.73%
97	6.52%	4.21%	8.52%	0.66%	0.27%	1.05%
96	8.83%	5.91%	11.4%	0.94%	0.4%	1.47%
95	11.6%	8.03%	14.8%	1.3%	0.59%	2.02%
94	14.8%	10.6%	18.6%	1.77%	0.83%	2.71%
93	18.4%	13.6%	22.9%	2.36%	1.15%	3.55%
92	22.4%	17%	27.4%	3.08%	1.57%	4.57%
91	26.6%	20.7%	32.1%	3.95%	2.09%	5.75%
90	31%	24.7%	36.9%	4.99%	2.73%	7.15%
89	35.5%	28.9%	41.7%	6.18%	3.51%	8.72%
88	40%	33.2%	46.4%	7.56%	4.44%	10.5%
87	44.3%	37.6%	50.9%	9.1%	5.53%	12.4%
86	48.6%	41.9%	55.2%	10.8%	6.78%	14.5%
85	52.6%	46.1%	59.2%	12.7%	8.2%	16.8%
84	56.5%	50.1%	62.9%	14.7%	9.78%	19.1%
83	60%	53.9%	66.2%	16.8%	11.5%	21.5%
82	63.3%	57.5%	69.3%	19%	13.4%	24%
81	66.3%	60.7%	72%	21.2%	15.4%	26.4%
80	68.9%	63.7%	74.4%	23.5%	17.5%	28.8%
79	71.4%	66.4%	76.5%	25.9%	19.7%	31.3%
78	73.6%	68.9%	78.5%	28.3%	21.9%	33.8%
77	75.7%	71.2%	80.3%	30.7%	24.3%	36.3%
76	77.6%	73.4%	81.9%	33.2%	26.6%	38.7%
75	79.4%	75.5%	83.4%	35.6%	29%	41.2%
74	81%	77.4%	84.8%	38%	31.4%	43.6%
73	82.6%	79.2%	86.1%	40.4%	33.9%	45.9%
72	83.9%	80.9%	87.2%	42.8%	36.3%	48.2%
71	85.2%	82.4%	88.2%	45.1%	38.6%	50.4%
70	86.4%	83.9%	89.1%	47.3%	40.9%	52.6%
69	87.5%	85.2%	90%	49.5%	43.2%	54.7%
68	88.6%	86.5%	90.8%	51.6%	45.4%	56.7%
67	89.5%	87.6%	91.5%	53.6%	47.6%	58.6%
66	90.4%	88.6%	92.2%	55.6%	49.7%	60.5%
65	91.1%	89.6%	92.8%	57.6%	51.8%	62.3%
64	91.9%	90.5%	93.3%	59.5%	53.8%	64%
63	92.5%	91.3%	93.9%	61.2%	55.8%	65.7%
62	93.2%	92.1%	94.3%	63%	57.7%	67.2%
61	93.7%	92.8%	94.8%	64.6%	59.5%	68.7%
60	94.3%	93.4%	95.1%	66.2%	61.2%	70.1%
59	94.7%	94%	95.5%	67.6%	62.9%	71.4%
58	95.2%	94.6%	95.8%	69.1%	64.5%	72.7%
57	95.5%	95%	96%	70.4%	66%	73.9%
56	95.9%	95.5%	96.3%	71.7%	67.5%	75%
55	96.2%	95.9%	96.5%	72.9%	69%	76.1%
54	96.5%	96.2%	96.7%	74.1%	70.3%	77.2%
53	96.7%	96.5%	96.9%	75.2%	71.7%	78.2%
52	97%	96.8%	97.1%	76.3%	73%	79.1%
51	97.2%	97.1%	97.3%	77.4%	74.2%	80.1%
50	97.4%	97.4%	97.4%	78.4%	75.4%	81%
49	97.6%	97.6%	97.6%	79.4%	76.6%	81.8%
48	97.7%	97.8%	97.7%	80.3%	77.7%	82.6%
47	97.9%	97.9%	97.8%	81.2%	78.7%	83.4%
46	98%	98.1%	97.9%	82%	79.7%	84.1%
45	98.1%	98.2%	98%	82.9%	80.7%	84.8%
44	98.2%	98.3%	98.1%	83.6%	81.6%	85.5%
43	98.3%	98.4%	98.2%	84.4%	82.5%	86.1%
42	98.4%	98.5%	98.3%	85.1%	83.3%	86.7%
41	98.4%	98.5%	98.3%	85.8%	84.1%	87.3%
40	98.5%	98.6%	98.4%	86.4%	84.9%	87.9%
39	98.6%	98.7%	98.4%	87.1%	85.6%	88.4%
38	98.6%	98.8%	98.4%	87.7%	86.3%	89%
37	98.7%	98.8%	98.5%	88.2%	86.9%	89.5%
36	98.7%	98.9%	98.5%	88.8%	87.5%	89.9%
35	98.7%	98.9%	98.6%	89.3%	88.1%	90.4%
34	98.8%	98.9%	98.6%	89.8%	88.7%	90.8%
33	98.8%	99%	98.7%	90.2%	89.2%	91.2%
32	98.9%	99%	98.7%	90.7%	89.7%	91.6%
31	98.9%	99.1%	98.8%	91.1%	90.1%	91.9%
30	99%	99.1%	98.8%	91.4%	90.6%	92.3%
29	99%	99.2%	98.9%	91.8%	91%	92.6%
28	99.1%	99.2%	98.9%	92.1%	91.4%	92.9%
27	99.1%	99.2%	99%	92.5%	91.7%	93.2%
26	99.1%	99.3%	99%	92.8%	92.1%	93.5%
25	99.2%	99.3%	99%	93.1%	92.4%	93.7%
24	99.2%	99.3%	99.1%	93.3%	92.7%	93.9%
23	99.2%	99.4%	99.1%	93.6%	93%	94.2%
22	99.3%	99.4%	99.1%	93.8%	93.3%	94.4%
21	99.3%	99.4%	99.2%	94%	93.5%	94.5%
20	99.3%	99.5%	99.2%	94.2%	93.8%	94.7%
19	99.4%	99.5%	99.3%	94.4%	94%	94.9%
18	99.4%	99.5%	99.3%	94.6%	94.2%	95%
17	99.4%	99.5%	99.3%	94.7%	94.3%	95.1%
16	99.5%	99.6%	99.4%	94.8%	94.5%	95.2%
15	99.5%	99.6%	99.4%	94.9%	94.6%	95.3%
14	99.5%	99.6%	99.4%	95%	94.7%	95.4%
13	99.5%	99.6%	99.5%	95.1%	94.8%	95.5%
12	99.6%	99.6%	99.5%	95.2%	94.8%	95.6%
11	99.6%	99.6%	99.5%	95.3%	94.9%	95.6%
10	99.6%	99.6%	99.6%	95.3%	95%	95.7%
9	99.6%	99.6%	99.6%	95.4%	95.1%	95.8%
8	99.6%	99.6%	99.6%	95.5%	95.1%	95.8%
7	99.6%	99.6%	99.7%	95.6%	95.2%	95.9%
6	99.6%	99.6%	99.7%	95.7%	95.3%	96%
5	99.6%	99.6%	99.7%	95.8%	95.5%	96.1%
4	99.7%	99.6%	99.7%	95.9%	95.6%	96.3%
3	99.7%	99.6%	99.7%	96.2%	95.8%	96.5%
2	99.7%	99.7%	99.7%	96.5%	96.1%	96.8%
1	99.7%	99.7%	99.8%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 94.3% of newborns in Luxembourg and 66.2% in Zimbabwe are expected to live past 60, 86.4% and 47.3% past 70, 68.9% and 23.5% past 80, and only 31% and 4.99% 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

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Luxembourg			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	35.8%	38.2%	35.2%	35.7%	38.2%	35%
99	33.4%	35.8%	32.8%	34.3%	36.9%	33.6%
98	31%	33.5%	30.2%	32.4%	35.2%	31.7%
97	28.6%	31.1%	27.7%	31.1%	33.9%	30.2%
96	26.2%	28.7%	25.3%	29.6%	32.5%	28.7%
95	23.9%	26.4%	22.9%	28.1%	31%	27.1%
94	21.7%	24.1%	20.6%	26.4%	29.5%	25.4%
93	19.6%	22%	18.5%	24.9%	27.9%	23.7%
92	17.7%	20%	16.5%	23.5%	26.4%	22.2%
91	15.8%	18.1%	14.7%	21.9%	24.9%	20.6%
90	14.2%	16.3%	13%	20.9%	23.7%	19.6%
89	12.6%	14.6%	11.5%	19.3%	22.2%	18%
88	11.2%	13%	10.1%	18.2%	20.9%	16.8%
87	9.89%	11.6%	8.85%	16.9%	19.7%	15.6%
86	8.74%	10.3%	7.74%	15.8%	18.5%	14.5%
85	7.69%	9.1%	6.74%	14.7%	17.3%	13.3%
84	6.76%	8.02%	5.86%	13.6%	16.2%	12.3%
83	5.94%	7.04%	5.07%	12.5%	15%	11.2%
82	5.17%	6.15%	4.38%	11.6%	14%	10.2%
81	4.48%	5.34%	3.76%	10.5%	12.9%	9.17%
80	3.89%	4.64%	3.24%	9.89%	12.1%	8.58%
79	3.42%	4.08%	2.82%	9.11%	11.1%	7.87%
78	3.02%	3.63%	2.49%	8.54%	10.4%	7.38%
77	2.73%	3.29%	2.23%	7.89%	9.57%	6.81%
76	2.47%	2.99%	2.01%	7.37%	8.9%	6.37%
75	2.26%	2.74%	1.82%	6.87%	8.28%	5.94%
74	2.04%	2.48%	1.62%	6.38%	7.68%	5.51%
73	1.84%	2.27%	1.44%	5.92%	7.12%	5.11%
72	1.65%	2.06%	1.28%	5.51%	6.62%	4.76%
71	1.5%	1.89%	1.14%	5.06%	6.09%	4.37%
70	1.38%	1.74%	1.04%	4.75%	5.7%	4.11%
69	1.27%	1.6%	0.96%	4.38%	5.25%	3.78%
68	1.16%	1.44%	0.88%	4.09%	4.9%	3.54%
67	1.05%	1.3%	0.8%	3.82%	4.56%	3.31%
66	0.95%	1.17%	0.73%	3.58%	4.26%	3.1%
65	0.86%	1.06%	0.66%	3.38%	4.01%	2.93%
64	0.79%	0.97%	0.6%	3.14%	3.74%	2.7%
63	0.73%	0.9%	0.55%	2.92%	3.5%	2.49%
62	0.67%	0.83%	0.5%	2.73%	3.28%	2.31%
61	0.61%	0.77%	0.44%	2.53%	3.04%	2.13%
60	0.55%	0.7%	0.39%	2.37%	2.87%	1.99%
59	0.5%	0.64%	0.35%	2.19%	2.65%	1.85%
58	0.45%	0.57%	0.32%	2.04%	2.48%	1.73%
57	0.4%	0.51%	0.29%	1.91%	2.33%	1.62%
56	0.36%	0.45%	0.27%	1.79%	2.2%	1.53%
55	0.33%	0.41%	0.25%	1.69%	2.09%	1.44%
54	0.3%	0.37%	0.23%	1.6%	1.97%	1.36%
53	0.27%	0.34%	0.21%	1.52%	1.87%	1.29%
52	0.25%	0.31%	0.19%	1.44%	1.78%	1.23%
51	0.22%	0.28%	0.17%	1.36%	1.68%	1.15%
50	0.2%	0.25%	0.15%	1.3%	1.6%	1.1%
49	0.18%	0.22%	0.14%	1.22%	1.5%	1.03%
48	0.16%	0.19%	0.13%	1.16%	1.41%	0.98%
47	0.14%	0.17%	0.12%	1.09%	1.33%	0.92%
46	0.13%	0.15%	0.11%	1.04%	1.25%	0.87%
45	0.11%	0.13%	0.1%	0.99%	1.19%	0.83%
44	0.1%	0.11%	0.09%	0.93%	1.12%	0.78%
43	0.09%	0.1%	0.07%	0.89%	1.06%	0.75%
42	0.07%	0.08%	0.07%	0.84%	1%	0.71%
41	0.07%	0.08%	0.06%	0.8%	0.95%	0.68%
40	0.06%	0.07%	0.05%	0.76%	0.9%	0.65%
39	0.06%	0.07%	0.05%	0.72%	0.85%	0.62%
38	0.05%	0.07%	0.04%	0.68%	0.8%	0.59%
37	0.05%	0.06%	0.04%	0.64%	0.75%	0.55%
36	0.04%	0.05%	0.04%	0.61%	0.71%	0.53%
35	0.04%	0.04%	0.04%	0.57%	0.66%	0.5%
34	0.04%	0.04%	0.05%	0.54%	0.62%	0.47%
33	0.05%	0.04%	0.05%	0.5%	0.58%	0.44%
32	0.05%	0.04%	0.06%	0.47%	0.54%	0.41%
31	0.05%	0.05%	0.05%	0.44%	0.51%	0.39%
30	0.05%	0.05%	0.05%	0.42%	0.48%	0.37%
29	0.05%	0.05%	0.05%	0.4%	0.45%	0.35%
28	0.04%	0.04%	0.05%	0.37%	0.42%	0.33%
27	0.04%	0.03%	0.05%	0.35%	0.4%	0.31%
26	0.03%	0.03%	0.04%	0.33%	0.37%	0.29%
25	0.03%	0.03%	0.04%	0.31%	0.35%	0.26%
24	0.03%	0.03%	0.03%	0.29%	0.33%	0.25%
23	0.03%	0.03%	0.04%	0.27%	0.31%	0.23%
22	0.04%	0.03%	0.04%	0.25%	0.29%	0.21%
21	0.04%	0.04%	0.04%	0.23%	0.27%	0.19%
20	0.04%	0.04%	0.04%	0.21%	0.25%	0.18%
19	0.04%	0.03%	0.04%	0.19%	0.22%	0.16%
18	0.04%	0.03%	0.04%	0.17%	0.2%	0.15%
17	0.03%	0.02%	0.04%	0.15%	0.17%	0.13%
16	0.03%	0.02%	0.04%	0.13%	0.14%	0.12%
15	0.02%	0.01%	0.03%	0.11%	0.12%	0.1%
14	0.02%	0.009%	0.03%	0.1%	0.1%	0.09%
13	0.02%	0.007%	0.04%	0.08%	0.09%	0.08%
12	0.02%	0.005%	0.04%	0.08%	0.08%	0.07%
11	0.02%	0.004%	0.03%	0.07%	0.08%	0.07%
10	0.01%	0.004%	0.03%	0.07%	0.08%	0.07%
9	0.02%	0.004%	0.03%	0.08%	0.08%	0.07%
8	0.02%	0.004%	0.03%	0.08%	0.09%	0.08%
7	0.01%	0.004%	0.02%	0.09%	0.1%	0.09%
6	0.007%	0.004%	0.01%	0.1%	0.11%	0.1%
5	0.005%	0.005%	0.006%	0.12%	0.13%	0.12%
4	0.007%	0.005%	0.008%	0.16%	0.17%	0.16%
3	0.01%	0.007%	0.02%	0.22%	0.22%	0.22%
2	0.02%	0.01%	0.03%	0.32%	0.32%	0.32%
1	0.04%	0.04%	0.05%	0.5%	0.48%	0.52%
0	0.27%	0.31%	0.23%	3.05%	3.4%	2.7%

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

The annual chance of dying is 0.27% in the birth year in Luxembourg and 3.05% in Zimbabwe, 0.05% vs 0.42% at age 30, 0.55% vs 2.37% at 60, and 3.89% vs 9.89% at 80.

Death rate by age in Luxembourg vs Zimbabwe

Chart Table

Luxembourg

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Luxembourg			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	612	282.4	887	24.9	0	53
99	1,074	692	1,408	105.4	43.2	168.4
98	1,443	970	1,862	147.6	63.5	232.4
97	1,862	1,308	2,362	205	92.4	318
96	2,311	1,696	2,881	277.6	131.3	423
95	2,774	2,120	3,387	366	181.8	548
94	3,212	2,554	3,846	469	244.7	687
93	3,616	2,987	4,236	588	322	843
92	3,956	3,388	4,533	724	414	1,016
91	4,213	3,737	4,726	863	518	1,184
90	4,397	4,016	4,811	1,040	647	1,401
89	4,488	4,214	4,795	1,196	779	1,570
88	4,475	4,327	4,689	1,372	930	1,762
87	4,388	4,357	4,508	1,540	1,088	1,934
86	4,245	4,309	4,270	1,709	1,253	2,102
85	4,046	4,194	3,990	1,858	1,418	2,232
84	3,818	4,020	3,682	1,999	1,583	2,345
83	3,562	3,798	3,359	2,102	1,730	2,403
82	3,273	3,535	3,030	2,197	1,873	2,450
81	2,968	3,244	2,707	2,235	1,982	2,419
80	2,684	2,955	2,411	2,328	2,113	2,474
79	2,438	2,709	2,161	2,358	2,186	2,465
78	2,224	2,497	1,953	2,416	2,272	2,497
77	2,065	2,340	1,789	2,424	2,321	2,470
76	1,918	2,192	1,646	2,444	2,370	2,468
75	1,793	2,068	1,516	2,448	2,404	2,446
74	1,649	1,921	1,373	2,427	2,414	2,401
73	1,517	1,799	1,238	2,393	2,412	2,346
72	1,386	1,664	1,111	2,356	2,400	2,294
71	1,280	1,556	1,010	2,281	2,352	2,203
70	1,190	1,457	929	2,250	2,336	2,164
69	1,115	1,363	863	2,166	2,269	2,069
68	1,029	1,247	799	2,111	2,224	2,007
67	941	1,135	735	2,050	2,172	1,938
66	860	1,039	672	1,993	2,121	1,875
65	784	950	611	1,945	2,075	1,824
64	722	878	559	1,866	2,014	1,726
63	675	822	517	1,790	1,952	1,636
62	625	765	471	1,718	1,890	1,553
61	573	711	420	1,632	1,809	1,463
60	521	655	372	1,571	1,756	1,398
59	472	599	333	1,481	1,664	1,318
58	426	538	302	1,411	1,599	1,257
57	383	481	277.4	1,341	1,537	1,197
56	344	427	255.7	1,284	1,485	1,146
55	316	390	237.8	1,233	1,440	1,097
54	289.8	356	219.1	1,184	1,389	1,052
53	265.4	328	199.7	1,140	1,342	1,009
52	242.3	299.7	182.5	1,100	1,298	971
51	218.6	269.3	166.3	1,050	1,245	925
50	196	239	151	1,018	1,207	892
49	175.2	211.6	137.7	969	1,146	846
48	155	183.9	125.9	929	1,096	806
47	139	162.1	116	888	1,046	766
46	125.5	144.2	106.5	850	1,000	731
45	110.1	124.6	95.1	816	958	702
44	96	108.4	83.5	779	911	669
43	84	94.9	72.9	747	871	642
42	73.7	83.4	63.9	717	834	617
41	67.1	77.1	57	685	795	592
40	62.5	73.9	51	659	766	571
39	57.6	69.9	45.1	627	725	545
38	53.2	65.4	40.7	599	691	522
37	48.6	58.5	38.4	568	655	496
36	43.7	49.2	37.9	539	619	473
35	42.3	43.8	40.7	512	586	450
34	42.7	40	45.6	481	550	423
33	46.1	40.4	52.2	453	517	400
32	48.7	42.1	55.7	428	487	379
31	48.9	44.7	53.2	403	458	356
30	49.7	48.5	51	385	436	341
29	46.4	44.7	48.3	363	409	323
28	43.5	39.3	48	343	387	303
27	38.9	32.9	45.4	324	365	286.2
26	33.5	28.5	38.9	304	344	267.1
25	31.5	28.3	34.9	286.4	326	248.2
24	30.9	27.5	34.5	268.5	307	231.1
23	33.4	30	37.1	251.5	289	214.4
22	36	33.7	38.5	234.1	270.1	198.3
21	37	36.4	37.6	216.1	249.9	182.2
20	37	37.5	36.5	200.4	229.9	170.6
19	36.2	33	39.4	182.4	209.2	155.3
18	35.5	27.9	43.3	164.9	188.9	140.6
17	30.8	21.8	40.4	143.2	161.3	124.9
16	25.7	16.5	35.4	122.8	135.4	110
15	23.2	13.2	33.9	106.1	114.9	97.1
14	21.2	9.46	33.8	90.9	97.8	83.9
13	21.4	7.12	36.2	80.4	85.9	74.8
12	19.8	5.39	35	73.9	79.4	68.4
11	15.7	4.17	28.2	70.9	76.1	65.5
10	14.6	3.85	25.9	70.4	74.5	66.2
9	17.2	3.8	31.1	72.9	76.9	68.8
8	18.3	4.12	33.2	78.6	83.3	73.8
7	13.9	4.46	23.5	87.5	92.4	82.5
6	7.42	4.34	10.6	98.5	103	94
5	5.46	4.64	6.31	116.6	119.9	113.1
4	6.55	4.86	8.31	153.9	157.9	149.8
3	12	7.18	17	211.7	213.4	209.9
2	20.4	13	28.1	308	305	311
1	40.7	35.7	46	484	463	505
0	270.7	313	225.8	3,053	3,402	2,699

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 Zimbabwe. The median age of death is 85.7 in Luxembourg and 68.8 in Zimbabwe, 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 Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x