Life Expectancy in Eswatini vs Monaco (1950-2026)

Life expectancy by current age

Chart Table

Eswatini

Male

Female

Monaco

Male

Female

1x

Current age, years	Total life expectancy, years
	Eswatini			Monaco
	Average	Male	Female	Average	Male	Female
100	102	101.9	102.1	103.1	102.6	103.3
99	101.1	101.1	101.2	102.3	101.8	102.6
98	100.3	100.2	100.3	101.5	101	101.9
97	99.4	99.3	99.4	100.8	100.2	101.2
96	98.5	98.5	98.6	100.1	99.4	100.5
95	97.7	97.6	97.7	99.3	98.7	99.8
94	96.8	96.8	96.9	98.7	97.9	99.2
93	96	95.9	96.1	98	97.2	98.5
92	95.2	95.1	95.3	97.3	96.6	97.9
91	94.4	94.3	94.5	96.7	95.9	97.4
90	93.6	93.5	93.7	96.1	95.3	96.8
89	92.9	92.7	93	95.6	94.7	96.3
88	92.1	92	92.2	95	94.1	95.8
87	91.4	91.2	91.5	94.5	93.5	95.4
86	90.7	90.5	90.8	94	93	94.9
85	90	89.8	90.2	93.5	92.5	94.5
84	89.4	89.1	89.5	93.1	92	94.1
83	88.7	88.4	88.9	92.6	91.5	93.7
82	88.1	87.8	88.3	92.2	91.1	93.3
81	87.5	87.2	87.7	91.9	90.7	93
80	86.9	86.6	87.2	91.5	90.3	92.7
79	86.4	86	86.6	91.2	89.9	92.4
78	85.8	85.4	86.1	90.9	89.6	92.2
77	85.3	84.8	85.6	90.6	89.3	91.9
76	84.7	84.2	85.1	90.3	89	91.7
75	84.2	83.6	84.6	90.1	88.7	91.5
74	83.7	83	84.1	89.9	88.5	91.4
73	83.1	82.5	83.6	89.7	88.2	91.2
72	82.6	81.9	83.1	89.5	88	91.1
71	82.1	81.4	82.7	89.3	87.8	90.9
70	81.6	80.8	82.2	89.1	87.6	90.8
69	81.1	80.3	81.8	89	87.4	90.7
68	80.7	79.7	81.3	88.8	87.2	90.6
67	80.2	79.2	80.9	88.7	87.1	90.5
66	79.7	78.7	80.5	88.6	86.9	90.4
65	79.3	78.1	80.1	88.5	86.8	90.3
64	78.8	77.6	79.7	88.4	86.7	90.3
63	78.4	77.1	79.4	88.3	86.6	90.2
62	78	76.7	79	88.2	86.5	90.1
61	77.6	76.2	78.7	88.2	86.4	90.1
60	77.2	75.8	78.3	88.1	86.3	90
59	76.9	75.3	78	88	86.2	90
58	76.5	74.9	77.7	88	86.1	90
57	76.2	74.5	77.4	87.9	86.1	89.9
56	75.8	74.1	77.2	87.9	86	89.9
55	75.5	73.8	76.9	87.8	85.9	89.8
54	75.2	73.4	76.6	87.8	85.9	89.8
53	74.9	73	76.4	87.7	85.8	89.8
52	74.6	72.7	76.1	87.7	85.8	89.7
51	74.3	72.3	75.9	87.6	85.7	89.7
50	74	72	75.7	87.6	85.7	89.7
49	73.7	71.7	75.4	87.6	85.7	89.7
48	73.5	71.4	75.2	87.6	85.6	89.6
47	73.2	71.1	75	87.5	85.6	89.6
46	72.9	70.8	74.8	87.5	85.6	89.6
45	72.7	70.5	74.6	87.5	85.6	89.6
44	72.5	70.2	74.4	87.5	85.5	89.5
43	72.2	70	74.2	87.4	85.5	89.5
42	72	69.7	74.1	87.4	85.5	89.5
41	71.8	69.4	73.9	87.4	85.5	89.5
40	71.6	69.2	73.7	87.4	85.5	89.5
39	71.4	69	73.5	87.4	85.5	89.5
38	71.2	68.7	73.4	87.4	85.4	89.5
37	71	68.5	73.2	87.4	85.4	89.4
36	70.8	68.3	73.1	87.3	85.4	89.4
35	70.6	68.1	72.9	87.3	85.4	89.4
34	70.4	67.9	72.8	87.3	85.4	89.4
33	70.3	67.7	72.7	87.3	85.4	89.4
32	70.1	67.5	72.5	87.3	85.4	89.4
31	70	67.4	72.4	87.3	85.4	89.4
30	69.8	67.2	72.3	87.3	85.4	89.4
29	69.7	67	72.2	87.3	85.3	89.4
28	69.5	66.9	72.1	87.3	85.3	89.4
27	69.4	66.7	71.9	87.3	85.3	89.4
26	69.3	66.6	71.8	87.2	85.3	89.3
25	69.2	66.4	71.7	87.2	85.3	89.3
24	69	66.3	71.6	87.2	85.3	89.3
23	68.9	66.2	71.6	87.2	85.3	89.3
22	68.8	66	71.5	87.2	85.3	89.3
21	68.7	65.9	71.4	87.2	85.3	89.3
20	68.6	65.8	71.3	87.2	85.2	89.3
19	68.5	65.7	71.2	87.2	85.2	89.3
18	68.4	65.6	71.2	87.2	85.2	89.3
17	68.4	65.5	71.1	87.2	85.2	89.3
16	68.3	65.4	71	87.2	85.2	89.3
15	68.2	65.4	71	87.2	85.2	89.3
14	68.2	65.3	70.9	87.1	85.2	89.3
13	68.1	65.3	70.9	87.1	85.2	89.3
12	68.1	65.2	70.8	87.1	85.2	89.3
11	68.1	65.2	70.8	87.1	85.2	89.3
10	68	65.2	70.8	87.1	85.2	89.2
9	68	65.1	70.7	87.1	85.2	89.2
8	67.9	65.1	70.7	87.1	85.2	89.2
7	67.9	65	70.6	87.1	85.2	89.2
6	67.8	64.9	70.5	87.1	85.2	89.2
5	67.7	64.9	70.5	87.1	85.2	89.2
4	67.6	64.8	70.4	87.1	85.1	89.2
3	67.5	64.6	70.2	87.1	85.1	89.2
2	67.3	64.4	70	87.1	85.1	89.2
1	67	64.1	69.7	87.1	85.1	89.2
0	64.5	61.6	67.4	86.7	84.8	88.8

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 Eswatini can expect to live to 69.8 years compared to 87.3 in Monaco, rising to 79.3 and 88.5 at 65, and to 86.9 and 91.5 at 80 — higher than the 64.5 and 86.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Eswatini

Male

Female

Monaco

Male

Female

1x

Age	Survival probability
	Eswatini			Monaco
	Average	Male	Female	Average	Male	Female
100	0.28%	0.17%	0.38%	8.43%	4.58%	12.9%
99	0.43%	0.26%	0.58%	10.8%	6.25%	16%
98	0.64%	0.4%	0.87%	13.5%	8.3%	19.4%
97	0.94%	0.59%	1.27%	16.6%	10.7%	23.2%
96	1.34%	0.85%	1.8%	20%	13.6%	27.2%
95	1.86%	1.2%	2.49%	23.7%	16.8%	31.4%
94	2.53%	1.65%	3.36%	27.7%	20.3%	35.7%
93	3.35%	2.22%	4.42%	31.8%	24.1%	40.1%
92	4.35%	2.92%	5.7%	36%	28.2%	44.5%
91	5.52%	3.76%	7.18%	40.2%	32.4%	48.8%
90	6.89%	4.75%	8.9%	44.5%	36.7%	53%
89	8.43%	5.89%	10.8%	48.7%	41%	57.1%
88	10.2%	7.17%	12.9%	52.7%	45.3%	60.9%
87	12%	8.6%	15.2%	56.7%	49.5%	64.6%
86	14.1%	10.2%	17.6%	60.5%	53.6%	68%
85	16.2%	11.8%	20.2%	64.1%	57.5%	71.2%
84	18.4%	13.6%	22.8%	67.5%	61.2%	74.3%
83	20.6%	15.4%	25.4%	70.7%	64.7%	77.1%
82	22.9%	17.3%	28%	73.6%	68%	79.6%
81	25.1%	19.2%	30.6%	76.3%	71%	81.9%
80	27.4%	21.2%	33.1%	78.7%	73.8%	83.9%
79	29.6%	23.1%	35.6%	80.9%	76.3%	85.7%
78	31.8%	25.1%	38.1%	82.8%	78.6%	87.3%
77	34.1%	27.2%	40.6%	84.6%	80.7%	88.6%
76	36.3%	29.2%	43%	86.1%	82.6%	89.9%
75	38.6%	31.3%	45.4%	87.6%	84.3%	90.9%
74	40.8%	33.4%	47.7%	88.8%	85.9%	91.9%
73	43%	35.5%	50%	90%	87.3%	92.7%
72	45.2%	37.7%	52.3%	91%	88.5%	93.5%
71	47.4%	39.8%	54.4%	91.9%	89.7%	94.1%
70	49.5%	41.9%	56.5%	92.7%	90.7%	94.7%
69	51.5%	44%	58.5%	93.4%	91.7%	95.2%
68	53.5%	46.1%	60.5%	94.1%	92.5%	95.7%
67	55.5%	48.2%	62.4%	94.6%	93.2%	96%
66	57.4%	50.3%	64.2%	95.1%	93.9%	96.4%
65	59.4%	52.4%	66%	95.6%	94.4%	96.7%
64	61.2%	54.4%	67.6%	96%	94.9%	96.9%
63	62.9%	56.4%	69.2%	96.3%	95.4%	97.1%
62	64.6%	58.3%	70.7%	96.6%	95.8%	97.3%
61	66.1%	60.1%	72.1%	96.9%	96.2%	97.5%
60	67.6%	61.8%	73.4%	97.1%	96.5%	97.7%
59	69.1%	63.5%	74.6%	97.3%	96.8%	97.8%
58	70.4%	65.1%	75.8%	97.5%	97.1%	98%
57	71.7%	66.6%	76.8%	97.7%	97.3%	98.1%
56	72.9%	68.1%	77.9%	97.9%	97.6%	98.2%
55	74.1%	69.5%	78.9%	98%	97.8%	98.3%
54	75.3%	70.9%	79.8%	98.2%	97.9%	98.4%
53	76.4%	72.2%	80.7%	98.3%	98.1%	98.5%
52	77.4%	73.4%	81.5%	98.4%	98.2%	98.6%
51	78.4%	74.6%	82.3%	98.5%	98.3%	98.7%
50	79.4%	75.8%	83.1%	98.6%	98.4%	98.7%
49	80.3%	76.9%	83.8%	98.7%	98.5%	98.8%
48	81.2%	77.9%	84.5%	98.7%	98.6%	98.8%
47	82%	78.9%	85.1%	98.8%	98.7%	98.9%
46	82.8%	79.9%	85.8%	98.9%	98.8%	98.9%
45	83.5%	80.8%	86.3%	98.9%	98.8%	99%
44	84.2%	81.7%	86.9%	99%	98.9%	99%
43	84.9%	82.5%	87.4%	99%	98.9%	99.1%
42	85.6%	83.3%	87.9%	99%	99%	99.1%
41	86.2%	84%	88.4%	99.1%	99%	99.1%
40	86.8%	84.7%	88.8%	99.1%	99%	99.2%
39	87.3%	85.4%	89.3%	99.1%	99.1%	99.2%
38	87.8%	86%	89.7%	99.1%	99.1%	99.2%
37	88.3%	86.7%	90.1%	99.2%	99.1%	99.2%
36	88.8%	87.2%	90.4%	99.2%	99.1%	99.2%
35	89.3%	87.8%	90.8%	99.2%	99.2%	99.3%
34	89.7%	88.3%	91.1%	99.2%	99.2%	99.3%
33	90.1%	88.8%	91.4%	99.3%	99.2%	99.3%
32	90.5%	89.2%	91.7%	99.3%	99.2%	99.3%
31	90.8%	89.7%	92%	99.3%	99.2%	99.3%
30	91.2%	90.1%	92.3%	99.3%	99.3%	99.4%
29	91.5%	90.5%	92.5%	99.3%	99.3%	99.4%
28	91.8%	90.8%	92.8%	99.3%	99.3%	99.4%
27	92.1%	91.2%	93%	99.4%	99.3%	99.4%
26	92.4%	91.5%	93.2%	99.4%	99.3%	99.4%
25	92.6%	91.8%	93.4%	99.4%	99.3%	99.4%
24	92.9%	92.1%	93.6%	99.4%	99.4%	99.4%
23	93.1%	92.4%	93.8%	99.4%	99.4%	99.4%
22	93.3%	92.7%	93.9%	99.4%	99.4%	99.5%
21	93.5%	92.9%	94.1%	99.4%	99.4%	99.5%
20	93.7%	93.2%	94.3%	99.5%	99.4%	99.5%
19	93.9%	93.4%	94.4%	99.5%	99.4%	99.5%
18	94%	93.6%	94.5%	99.5%	99.5%	99.5%
17	94.2%	93.7%	94.6%	99.5%	99.5%	99.5%
16	94.3%	93.9%	94.7%	99.5%	99.5%	99.5%
15	94.4%	94%	94.8%	99.5%	99.5%	99.5%
14	94.5%	94.1%	94.9%	99.5%	99.5%	99.5%
13	94.6%	94.2%	95%	99.5%	99.5%	99.5%
12	94.7%	94.3%	95%	99.5%	99.5%	99.5%
11	94.7%	94.3%	95.1%	99.5%	99.5%	99.5%
10	94.8%	94.4%	95.2%	99.5%	99.5%	99.5%
9	94.9%	94.5%	95.2%	99.5%	99.5%	99.6%
8	94.9%	94.6%	95.3%	99.5%	99.5%	99.6%
7	95%	94.7%	95.4%	99.6%	99.5%	99.6%
6	95.1%	94.8%	95.5%	99.6%	99.6%	99.6%
5	95.2%	94.9%	95.6%	99.6%	99.6%	99.6%
4	95.4%	95%	95.8%	99.6%	99.6%	99.6%
3	95.6%	95.3%	96%	99.6%	99.6%	99.6%
2	95.9%	95.6%	96.3%	99.6%	99.6%	99.6%
1	96.4%	96%	96.8%	99.6%	99.6%	99.6%

This chart shows the odds of living to each age from birth. 67.6% of newborns in Eswatini and 97.1% in Monaco are expected to live past 60, 49.5% and 92.7% past 70, 27.4% and 78.7% past 80, and only 6.89% and 44.5% past 90.

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

Odds of dying at each age

Chart Table

Eswatini

Male

Female

Monaco

Male

Female

1x

Age	Probability of dying
	Eswatini			Monaco
	Average	Male	Female	Average	Male	Female
100	36.9%	37.3%	36.7%	23.4%	28.5%	20.9%
99	35.3%	35.7%	35.1%	21.9%	26.7%	19.5%
98	33.2%	33.9%	32.9%	20.2%	24.7%	17.8%
97	31.6%	32.3%	31.3%	18.6%	22.7%	16.2%
96	29.9%	30.7%	29.6%	17%	20.9%	14.7%
95	28.2%	29%	27.8%	15.6%	19.1%	13.4%
94	26.4%	27.4%	25.9%	14.2%	17.4%	12.1%
93	24.6%	25.7%	24.1%	12.9%	15.8%	10.9%
92	23%	24%	22.4%	11.7%	14.4%	9.85%
91	21.2%	22.3%	20.6%	10.6%	13%	8.83%
90	19.9%	20.8%	19.3%	9.55%	11.7%	7.9%
89	18.3%	19.3%	17.7%	8.61%	10.5%	7.06%
88	16.9%	17.9%	16.3%	7.77%	9.46%	6.32%
87	15.6%	16.6%	15%	6.98%	8.5%	5.66%
86	14.4%	15.4%	13.8%	6.28%	7.62%	5.08%
85	13.1%	14.1%	12.6%	5.63%	6.83%	4.55%
84	12%	13%	11.4%	5.04%	6.1%	4.07%
83	10.9%	11.9%	10.3%	4.49%	5.43%	3.62%
82	9.89%	10.9%	9.36%	3.97%	4.82%	3.19%
81	8.87%	9.88%	8.35%	3.49%	4.26%	2.79%
80	8.18%	9.12%	7.67%	3.07%	3.75%	2.42%
79	7.55%	8.49%	7.01%	2.69%	3.31%	2.09%
78	7.09%	7.99%	6.55%	2.36%	2.91%	1.8%
77	6.58%	7.47%	6.04%	2.07%	2.58%	1.56%
76	6.21%	7.06%	5.65%	1.83%	2.28%	1.35%
75	5.84%	6.67%	5.27%	1.62%	2.03%	1.18%
74	5.48%	6.3%	4.9%	1.43%	1.81%	1.03%
73	5.13%	5.95%	4.56%	1.27%	1.62%	0.91%
72	4.83%	5.64%	4.27%	1.12%	1.44%	0.8%
71	4.48%	5.3%	3.93%	0.99%	1.29%	0.7%
70	4.27%	5.07%	3.73%	0.88%	1.14%	0.61%
69	3.99%	4.78%	3.44%	0.78%	1.01%	0.53%
68	3.78%	4.56%	3.23%	0.68%	0.89%	0.46%
67	3.55%	4.35%	3.02%	0.59%	0.78%	0.4%
66	3.36%	4.16%	2.84%	0.52%	0.69%	0.35%
65	3.22%	4%	2.69%	0.45%	0.6%	0.3%
64	2.98%	3.73%	2.47%	0.4%	0.53%	0.26%
63	2.76%	3.48%	2.27%	0.35%	0.47%	0.23%
62	2.56%	3.25%	2.1%	0.31%	0.43%	0.2%
61	2.36%	3.01%	1.92%	0.28%	0.38%	0.18%
60	2.22%	2.83%	1.79%	0.26%	0.35%	0.17%
59	2.06%	2.61%	1.64%	0.23%	0.32%	0.15%
58	1.93%	2.44%	1.53%	0.21%	0.29%	0.14%
57	1.8%	2.29%	1.42%	0.19%	0.26%	0.13%
56	1.7%	2.15%	1.33%	0.17%	0.23%	0.12%
55	1.61%	2.04%	1.25%	0.15%	0.2%	0.11%
54	1.52%	1.92%	1.17%	0.13%	0.18%	0.1%
53	1.43%	1.81%	1.1%	0.12%	0.15%	0.09%
52	1.36%	1.72%	1.04%	0.11%	0.14%	0.08%
51	1.28%	1.61%	0.97%	0.1%	0.12%	0.07%
50	1.22%	1.53%	0.92%	0.09%	0.11%	0.07%
49	1.14%	1.43%	0.86%	0.08%	0.1%	0.06%
48	1.07%	1.35%	0.81%	0.07%	0.09%	0.06%
47	1.01%	1.26%	0.75%	0.06%	0.08%	0.05%
46	0.95%	1.19%	0.71%	0.06%	0.07%	0.05%
45	0.9%	1.12%	0.67%	0.05%	0.06%	0.04%
44	0.84%	1.05%	0.63%	0.05%	0.05%	0.04%
43	0.79%	0.99%	0.6%	0.04%	0.05%	0.04%
42	0.75%	0.94%	0.57%	0.04%	0.04%	0.03%
41	0.71%	0.89%	0.54%	0.03%	0.04%	0.03%
40	0.68%	0.85%	0.51%	0.03%	0.03%	0.03%
39	0.64%	0.79%	0.48%	0.03%	0.03%	0.03%
38	0.6%	0.75%	0.46%	0.03%	0.03%	0.02%
37	0.56%	0.7%	0.43%	0.02%	0.03%	0.02%
36	0.53%	0.66%	0.41%	0.02%	0.02%	0.02%
35	0.5%	0.62%	0.39%	0.02%	0.02%	0.02%
34	0.47%	0.58%	0.36%	0.02%	0.02%	0.02%
33	0.44%	0.55%	0.34%	0.02%	0.02%	0.02%
32	0.42%	0.51%	0.32%	0.02%	0.02%	0.02%
31	0.39%	0.48%	0.3%	0.02%	0.02%	0.02%
30	0.37%	0.46%	0.29%	0.02%	0.02%	0.02%
29	0.35%	0.43%	0.27%	0.02%	0.02%	0.02%
28	0.33%	0.41%	0.26%	0.02%	0.02%	0.01%
27	0.32%	0.39%	0.25%	0.02%	0.02%	0.01%
26	0.3%	0.36%	0.23%	0.02%	0.02%	0.01%
25	0.28%	0.35%	0.22%	0.02%	0.02%	0.01%
24	0.27%	0.33%	0.2%	0.02%	0.02%	0.01%
23	0.25%	0.31%	0.19%	0.02%	0.02%	0.01%
22	0.24%	0.29%	0.18%	0.01%	0.02%	0.01%
21	0.22%	0.27%	0.17%	0.01%	0.02%	0.01%
20	0.2%	0.25%	0.16%	0.01%	0.02%	0.01%
19	0.19%	0.23%	0.15%	0.01%	0.02%	0.01%
18	0.17%	0.21%	0.13%	0.01%	0.01%	0.009%
17	0.15%	0.17%	0.12%	0.01%	0.01%	0.008%
16	0.13%	0.15%	0.11%	0.009%	0.01%	0.007%
15	0.11%	0.12%	0.1%	0.008%	0.009%	0.006%
14	0.09%	0.11%	0.08%	0.007%	0.008%	0.006%
13	0.08%	0.09%	0.08%	0.006%	0.007%	0.005%
12	0.08%	0.08%	0.07%	0.005%	0.006%	0.005%
11	0.07%	0.08%	0.07%	0.005%	0.006%	0.005%
10	0.07%	0.08%	0.07%	0.005%	0.006%	0.005%
9	0.08%	0.08%	0.07%	0.006%	0.006%	0.005%
8	0.08%	0.09%	0.08%	0.006%	0.007%	0.005%
7	0.09%	0.1%	0.09%	0.007%	0.007%	0.006%
6	0.1%	0.11%	0.1%	0.008%	0.008%	0.007%
5	0.12%	0.13%	0.12%	0.009%	0.009%	0.009%
4	0.16%	0.16%	0.16%	0.01%	0.01%	0.01%
3	0.22%	0.22%	0.22%	0.01%	0.01%	0.01%
2	0.32%	0.32%	0.32%	0.02%	0.01%	0.02%
1	0.5%	0.48%	0.52%	0.02%	0.01%	0.03%
0	3.6%	3.97%	3.23%	0.37%	0.39%	0.35%

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

The annual chance of dying is 3.6% in the birth year in Eswatini and 0.37% in Monaco, 0.37% vs 0.02% at age 30, 2.22% vs 0.26% at 60, and 8.18% vs 3.07% at 80.

Death rate by age in Eswatini vs Monaco

Chart Table

Eswatini

Male

Female

Monaco

Male

Female

1x

Age	Death rate
	Eswatini			Monaco
	Total	Male	Female	Total	Male	Female
100	36.6	16	56.8	2,061	1,279	2,888
99	150.8	94.3	204.8	2,366	1,666	3,112
98	212.7	135.1	286.8	2,737	2,047	3,458
97	295.9	190.3	396	3,088	2,442	3,761
96	400	260.9	532	3,410	2,834	4,012
95	524	348	691	3,692	3,205	4,204
94	666	452	868	3,925	3,540	4,333
93	825	570	1,064	4,101	3,824	4,393
92	999	702	1,275	4,209	4,045	4,384
91	1,171	838	1,479	4,255	4,200	4,311
90	1,369	990	1,719	4,245	4,288	4,187
89	1,543	1,137	1,915	4,188	4,314	4,027
88	1,718	1,287	2,112	4,096	4,284	3,846
87	1,878	1,430	2,285	3,958	4,205	3,654
86	2,022	1,563	2,440	3,797	4,083	3,454
85	2,122	1,670	2,534	3,611	3,925	3,245
84	2,208	1,771	2,609	3,402	3,735	3,024
83	2,246	1,837	2,629	3,174	3,516	2,787
82	2,264	1,889	2,625	2,921	3,276	2,537
81	2,228	1,901	2,554	2,665	3,024	2,281
80	2,237	1,930	2,541	2,413	2,769	2,028
79	2,235	1,964	2,497	2,173	2,523	1,789
78	2,258	2,010	2,497	1,954	2,291	1,573
77	2,245	2,031	2,450	1,753	2,079	1,381
76	2,255	2,065	2,431	1,575	1,886	1,215
75	2,254	2,088	2,392	1,418	1,713	1,072
74	2,237	2,105	2,342	1,271	1,556	948
73	2,210	2,116	2,283	1,140	1,412	840
72	2,184	2,126	2,231	1,024	1,279	744
71	2,123	2,109	2,140	914	1,154	658
70	2,112	2,126	2,105	815	1,038	580
69	2,055	2,105	2,011	725	928	509
68	2,022	2,103	1,953	639	826	444
67	1,971	2,096	1,884	561	731	385
66	1,929	2,091	1,822	491	646	334
65	1,910	2,096	1,776	431	571	289.1
64	1,823	2,030	1,669	381	506	251.9
63	1,735	1,962	1,572	338	452	221.7
62	1,653	1,895	1,481	302	407	197.5
61	1,560	1,809	1,380	272.3	370	178.2
60	1,503	1,753	1,315	249.4	337	162.6
59	1,422	1,658	1,223	228.4	307	149.4
58	1,359	1,590	1,157	206.5	278.4	137.5
57	1,288	1,523	1,090	185.8	249.9	126.3
56	1,236	1,466	1,037	166.8	222	115.7
55	1,191	1,415	984	148.4	195.7	105.6
54	1,141	1,361	937	132.4	171.9	96.2
53	1,093	1,309	890	117.9	151.3	87.8
52	1,054	1,261	851	105.8	133.9	80.5
51	1,003	1,204	799	95.9	119.3	74
50	971	1,163	767	86.1	106.8	68.2
49	917	1,100	719	77.9	95.8	62.9
48	870	1,049	680	70.8	85.7	57.9
47	824	997	641	63.7	76.2	53
46	784	949	607	57.1	67.3	48.3
45	749	907	579	50.9	59.2	43.9
44	707	860	548	45.5	51.9	39.8
43	673	820	523	40.8	45.7	36.2
42	644	784	501	36.7	40.4	33.1
41	612	744	474	33.3	36.1	30.5
40	588	716	456	30.4	32.6	28.2
39	555	676	431	28	29.7	26.3
38	527	644	411	26	27.3	24.6
37	499	610	388	24.2	25.3	23
36	473	576	369	22.6	23.5	21.6
35	449	546	350	21.2	22.1	20.3
34	422	514	329	20	20.8	19.1
33	398	484	312	18.9	19.7	18.1
32	377	458	296	18	18.7	17.1
31	355	431	278.1	17.2	18	16.3
30	341	413	267.6	16.6	17.4	15.7
29	323	389	253.5	16.1	17	15
28	307	370	240	15.7	16.8	14.5
27	291.7	351	227.8	15.4	16.8	13.9
26	276.2	333	215.1	15.3	17	13.4
25	261.8	318	202.5	15.1	17.3	12.9
24	247.4	301	191.2	15.1	17.6	12.5
23	233.7	286.1	180	15	17.9	11.9
22	219.9	269.6	169.1	14.8	18.1	11.4
21	205.3	251.3	158.1	14.5	17.9	10.9
20	191.5	232.5	149.8	13.9	17.4	10.2
19	175.6	212.4	138.7	13	16.3	9.55
18	159.8	192.1	127.6	11.8	14.7	8.77
17	139.6	164	115	10.4	12.8	7.94
16	120.6	137.9	103	9.02	10.9	7.11
15	104.1	116.5	91.4	7.74	9.1	6.34
14	89.6	99	80.1	6.68	7.66	5.68
13	79.4	86.7	72.1	5.91	6.64	5.17
12	73.2	79.9	66.5	5.42	6.01	4.83
11	70.4	76.6	64.2	5.2	5.75	4.65
10	70.1	75.1	65	5.23	5.78	4.66
9	72.6	77.3	67.9	5.5	6.09	4.88
8	78.5	83.5	73.3	5.99	6.63	5.33
7	87.5	92.4	82.5	6.73	7.36	6.09
6	98.8	102.8	94.8	7.75	8.24	7.23
5	116.9	119.6	114.1	9.08	9.24	8.91
4	153.1	156.5	149.6	10.8	10.3	11.3
3	209.5	211.6	207.2	13	11.5	14.6
2	303	302	304	15.9	12.9	19.1
1	481	464	498	19.6	14.3	25.2
0	3,605	3,974	3,230	368	386	350

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 Eswatini, the most common age of death is 0, compared to 91 in Monaco. The median age of death is 69.7 in Eswatini and 88.7 in Monaco, 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 Eswatini and Monaco more than their death rates.

Life expectancy in other countries

+ -

1x