Life Expectancy in Eswatini vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Eswatini

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Eswatini			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	102	101.9	102.1	102.2	101.9	102.2
99	101.1	101.1	101.2	101.2	101	101.3
98	100.3	100.2	100.3	100.4	100.1	100.4
97	99.4	99.3	99.4	99.5	99.2	99.5
96	98.5	98.5	98.6	98.6	98.4	98.7
95	97.7	97.6	97.7	97.7	97.5	97.8
94	96.8	96.8	96.9	96.9	96.6	97
93	96	95.9	96.1	96	95.7	96.1
92	95.2	95.1	95.3	95.2	94.9	95.3
91	94.4	94.3	94.5	94.4	94	94.5
90	93.6	93.5	93.7	93.6	93.2	93.8
89	92.9	92.7	93	92.8	92.4	93
88	92.1	92	92.2	92	91.6	92.2
87	91.4	91.2	91.5	91.2	90.8	91.5
86	90.7	90.5	90.8	90.5	90	90.8
85	90	89.8	90.2	89.8	89.2	90.1
84	89.4	89.1	89.5	89	88.4	89.4
83	88.7	88.4	88.9	88.4	87.7	88.7
82	88.1	87.8	88.3	87.7	87	88.1
81	87.5	87.2	87.7	87	86.3	87.5
80	86.9	86.6	87.2	86.4	85.6	86.9
79	86.4	86	86.6	85.8	84.9	86.3
78	85.8	85.4	86.1	85.1	84.2	85.7
77	85.3	84.8	85.6	84.5	83.6	85.2
76	84.7	84.2	85.1	83.9	83	84.6
75	84.2	83.6	84.6	83.4	82.3	84.1
74	83.7	83	84.1	82.8	81.7	83.5
73	83.1	82.5	83.6	82.2	81.2	83
72	82.6	81.9	83.1	81.7	80.6	82.5
71	82.1	81.4	82.7	81.2	80	82.1
70	81.6	80.8	82.2	80.7	79.5	81.6
69	81.1	80.3	81.8	80.2	79	81.1
68	80.7	79.7	81.3	79.7	78.4	80.7
67	80.2	79.2	80.9	79.2	77.9	80.2
66	79.7	78.7	80.5	78.8	77.5	79.8
65	79.3	78.1	80.1	78.3	77	79.4
64	78.8	77.6	79.7	77.9	76.5	79
63	78.4	77.1	79.4	77.5	76.1	78.6
62	78	76.7	79	77.1	75.6	78.2
61	77.6	76.2	78.7	76.7	75.2	77.9
60	77.2	75.8	78.3	76.3	74.8	77.5
59	76.9	75.3	78	75.9	74.4	77.2
58	76.5	74.9	77.7	75.6	74	76.9
57	76.2	74.5	77.4	75.2	73.6	76.6
56	75.8	74.1	77.2	74.9	73.2	76.3
55	75.5	73.8	76.9	74.6	72.8	76
54	75.2	73.4	76.6	74.2	72.5	75.7
53	74.9	73	76.4	73.9	72.1	75.4
52	74.6	72.7	76.1	73.6	71.8	75.1
51	74.3	72.3	75.9	73.3	71.4	74.8
50	74	72	75.7	73	71.1	74.6
49	73.7	71.7	75.4	72.7	70.8	74.3
48	73.5	71.4	75.2	72.5	70.5	74
47	73.2	71.1	75	72.2	70.2	73.8
46	72.9	70.8	74.8	71.9	69.9	73.6
45	72.7	70.5	74.6	71.7	69.6	73.3
44	72.5	70.2	74.4	71.4	69.3	73.1
43	72.2	70	74.2	71.2	69	72.9
42	72	69.7	74.1	70.9	68.7	72.7
41	71.8	69.4	73.9	70.7	68.5	72.5
40	71.6	69.2	73.7	70.5	68.2	72.2
39	71.4	69	73.5	70.2	68	72
38	71.2	68.7	73.4	70	67.8	71.9
37	71	68.5	73.2	69.8	67.5	71.7
36	70.8	68.3	73.1	69.6	67.3	71.5
35	70.6	68.1	72.9	69.4	67.1	71.3
34	70.4	67.9	72.8	69.2	66.9	71.1
33	70.3	67.7	72.7	69	66.7	71
32	70.1	67.5	72.5	68.9	66.5	70.8
31	70	67.4	72.4	68.7	66.3	70.6
30	69.8	67.2	72.3	68.5	66.2	70.5
29	69.7	67	72.2	68.4	66	70.4
28	69.5	66.9	72.1	68.2	65.8	70.2
27	69.4	66.7	71.9	68.1	65.7	70.1
26	69.3	66.6	71.8	68	65.5	70
25	69.2	66.4	71.7	67.8	65.4	69.8
24	69	66.3	71.6	67.7	65.3	69.7
23	68.9	66.2	71.6	67.6	65.1	69.6
22	68.8	66	71.5	67.5	65	69.5
21	68.7	65.9	71.4	67.4	64.9	69.4
20	68.6	65.8	71.3	67.3	64.8	69.3
19	68.5	65.7	71.2	67.2	64.7	69.3
18	68.4	65.6	71.2	67.1	64.6	69.2
17	68.4	65.5	71.1	67	64.5	69.1
16	68.3	65.4	71	67	64.4	69.1
15	68.2	65.4	71	66.9	64.4	69
14	68.2	65.3	70.9	66.8	64.3	69
13	68.1	65.3	70.9	66.8	64.3	68.9
12	68.1	65.2	70.8	66.8	64.2	68.9
11	68.1	65.2	70.8	66.7	64.2	68.8
10	68	65.2	70.8	66.7	64.2	68.8
9	68	65.1	70.7	66.6	64.1	68.8
8	67.9	65.1	70.7	66.6	64.1	68.7
7	67.9	65	70.6	66.5	64	68.7
6	67.8	64.9	70.5	66.5	64	68.6
5	67.7	64.9	70.5	66.4	63.9	68.5
4	67.6	64.8	70.4	66.3	63.8	68.4
3	67.5	64.6	70.2	66.2	63.6	68.3
2	67.3	64.4	70	66	63.5	68.1
1	67	64.1	69.7	65.6	63.2	67.7
0	64.5	61.6	67.4	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 Eswatini can expect to live to 69.8 years compared to 68.5 in Zimbabwe, rising to 79.3 and 78.3 at 65, and to 86.9 and 86.4 at 80 — higher than the 64.5 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Eswatini

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Eswatini			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	0.28%	0.17%	0.38%	0.2%	0.07%	0.33%
99	0.43%	0.26%	0.58%	0.31%	0.12%	0.5%
98	0.64%	0.4%	0.87%	0.46%	0.18%	0.73%
97	0.94%	0.59%	1.27%	0.66%	0.27%	1.05%
96	1.34%	0.85%	1.8%	0.94%	0.4%	1.47%
95	1.86%	1.2%	2.49%	1.3%	0.59%	2.02%
94	2.53%	1.65%	3.36%	1.77%	0.83%	2.71%
93	3.35%	2.22%	4.42%	2.36%	1.15%	3.55%
92	4.35%	2.92%	5.7%	3.08%	1.57%	4.57%
91	5.52%	3.76%	7.18%	3.95%	2.09%	5.75%
90	6.89%	4.75%	8.9%	4.99%	2.73%	7.15%
89	8.43%	5.89%	10.8%	6.18%	3.51%	8.72%
88	10.2%	7.17%	12.9%	7.56%	4.44%	10.5%
87	12%	8.6%	15.2%	9.1%	5.53%	12.4%
86	14.1%	10.2%	17.6%	10.8%	6.78%	14.5%
85	16.2%	11.8%	20.2%	12.7%	8.2%	16.8%
84	18.4%	13.6%	22.8%	14.7%	9.78%	19.1%
83	20.6%	15.4%	25.4%	16.8%	11.5%	21.5%
82	22.9%	17.3%	28%	19%	13.4%	24%
81	25.1%	19.2%	30.6%	21.2%	15.4%	26.4%
80	27.4%	21.2%	33.1%	23.5%	17.5%	28.8%
79	29.6%	23.1%	35.6%	25.9%	19.7%	31.3%
78	31.8%	25.1%	38.1%	28.3%	21.9%	33.8%
77	34.1%	27.2%	40.6%	30.7%	24.3%	36.3%
76	36.3%	29.2%	43%	33.2%	26.6%	38.7%
75	38.6%	31.3%	45.4%	35.6%	29%	41.2%
74	40.8%	33.4%	47.7%	38%	31.4%	43.6%
73	43%	35.5%	50%	40.4%	33.9%	45.9%
72	45.2%	37.7%	52.3%	42.8%	36.3%	48.2%
71	47.4%	39.8%	54.4%	45.1%	38.6%	50.4%
70	49.5%	41.9%	56.5%	47.3%	40.9%	52.6%
69	51.5%	44%	58.5%	49.5%	43.2%	54.7%
68	53.5%	46.1%	60.5%	51.6%	45.4%	56.7%
67	55.5%	48.2%	62.4%	53.6%	47.6%	58.6%
66	57.4%	50.3%	64.2%	55.6%	49.7%	60.5%
65	59.4%	52.4%	66%	57.6%	51.8%	62.3%
64	61.2%	54.4%	67.6%	59.5%	53.8%	64%
63	62.9%	56.4%	69.2%	61.2%	55.8%	65.7%
62	64.6%	58.3%	70.7%	63%	57.7%	67.2%
61	66.1%	60.1%	72.1%	64.6%	59.5%	68.7%
60	67.6%	61.8%	73.4%	66.2%	61.2%	70.1%
59	69.1%	63.5%	74.6%	67.6%	62.9%	71.4%
58	70.4%	65.1%	75.8%	69.1%	64.5%	72.7%
57	71.7%	66.6%	76.8%	70.4%	66%	73.9%
56	72.9%	68.1%	77.9%	71.7%	67.5%	75%
55	74.1%	69.5%	78.9%	72.9%	69%	76.1%
54	75.3%	70.9%	79.8%	74.1%	70.3%	77.2%
53	76.4%	72.2%	80.7%	75.2%	71.7%	78.2%
52	77.4%	73.4%	81.5%	76.3%	73%	79.1%
51	78.4%	74.6%	82.3%	77.4%	74.2%	80.1%
50	79.4%	75.8%	83.1%	78.4%	75.4%	81%
49	80.3%	76.9%	83.8%	79.4%	76.6%	81.8%
48	81.2%	77.9%	84.5%	80.3%	77.7%	82.6%
47	82%	78.9%	85.1%	81.2%	78.7%	83.4%
46	82.8%	79.9%	85.8%	82%	79.7%	84.1%
45	83.5%	80.8%	86.3%	82.9%	80.7%	84.8%
44	84.2%	81.7%	86.9%	83.6%	81.6%	85.5%
43	84.9%	82.5%	87.4%	84.4%	82.5%	86.1%
42	85.6%	83.3%	87.9%	85.1%	83.3%	86.7%
41	86.2%	84%	88.4%	85.8%	84.1%	87.3%
40	86.8%	84.7%	88.8%	86.4%	84.9%	87.9%
39	87.3%	85.4%	89.3%	87.1%	85.6%	88.4%
38	87.8%	86%	89.7%	87.7%	86.3%	89%
37	88.3%	86.7%	90.1%	88.2%	86.9%	89.5%
36	88.8%	87.2%	90.4%	88.8%	87.5%	89.9%
35	89.3%	87.8%	90.8%	89.3%	88.1%	90.4%
34	89.7%	88.3%	91.1%	89.8%	88.7%	90.8%
33	90.1%	88.8%	91.4%	90.2%	89.2%	91.2%
32	90.5%	89.2%	91.7%	90.7%	89.7%	91.6%
31	90.8%	89.7%	92%	91.1%	90.1%	91.9%
30	91.2%	90.1%	92.3%	91.4%	90.6%	92.3%
29	91.5%	90.5%	92.5%	91.8%	91%	92.6%
28	91.8%	90.8%	92.8%	92.1%	91.4%	92.9%
27	92.1%	91.2%	93%	92.5%	91.7%	93.2%
26	92.4%	91.5%	93.2%	92.8%	92.1%	93.5%
25	92.6%	91.8%	93.4%	93.1%	92.4%	93.7%
24	92.9%	92.1%	93.6%	93.3%	92.7%	93.9%
23	93.1%	92.4%	93.8%	93.6%	93%	94.2%
22	93.3%	92.7%	93.9%	93.8%	93.3%	94.4%
21	93.5%	92.9%	94.1%	94%	93.5%	94.5%
20	93.7%	93.2%	94.3%	94.2%	93.8%	94.7%
19	93.9%	93.4%	94.4%	94.4%	94%	94.9%
18	94%	93.6%	94.5%	94.6%	94.2%	95%
17	94.2%	93.7%	94.6%	94.7%	94.3%	95.1%
16	94.3%	93.9%	94.7%	94.8%	94.5%	95.2%
15	94.4%	94%	94.8%	94.9%	94.6%	95.3%
14	94.5%	94.1%	94.9%	95%	94.7%	95.4%
13	94.6%	94.2%	95%	95.1%	94.8%	95.5%
12	94.7%	94.3%	95%	95.2%	94.8%	95.6%
11	94.7%	94.3%	95.1%	95.3%	94.9%	95.6%
10	94.8%	94.4%	95.2%	95.3%	95%	95.7%
9	94.9%	94.5%	95.2%	95.4%	95.1%	95.8%
8	94.9%	94.6%	95.3%	95.5%	95.1%	95.8%
7	95%	94.7%	95.4%	95.6%	95.2%	95.9%
6	95.1%	94.8%	95.5%	95.7%	95.3%	96%
5	95.2%	94.9%	95.6%	95.8%	95.5%	96.1%
4	95.4%	95%	95.8%	95.9%	95.6%	96.3%
3	95.6%	95.3%	96%	96.2%	95.8%	96.5%
2	95.9%	95.6%	96.3%	96.5%	96.1%	96.8%
1	96.4%	96%	96.8%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 67.6% of newborns in Eswatini and 66.2% in Zimbabwe are expected to live past 60, 49.5% and 47.3% past 70, 27.4% and 23.5% past 80, and only 6.89% 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

Eswatini

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Eswatini			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	36.9%	37.3%	36.7%	35.7%	38.2%	35%
99	35.3%	35.7%	35.1%	34.3%	36.9%	33.6%
98	33.2%	33.9%	32.9%	32.4%	35.2%	31.7%
97	31.6%	32.3%	31.3%	31.1%	33.9%	30.2%
96	29.9%	30.7%	29.6%	29.6%	32.5%	28.7%
95	28.2%	29%	27.8%	28.1%	31%	27.1%
94	26.4%	27.4%	25.9%	26.4%	29.5%	25.4%
93	24.6%	25.7%	24.1%	24.9%	27.9%	23.7%
92	23%	24%	22.4%	23.5%	26.4%	22.2%
91	21.2%	22.3%	20.6%	21.9%	24.9%	20.6%
90	19.9%	20.8%	19.3%	20.9%	23.7%	19.6%
89	18.3%	19.3%	17.7%	19.3%	22.2%	18%
88	16.9%	17.9%	16.3%	18.2%	20.9%	16.8%
87	15.6%	16.6%	15%	16.9%	19.7%	15.6%
86	14.4%	15.4%	13.8%	15.8%	18.5%	14.5%
85	13.1%	14.1%	12.6%	14.7%	17.3%	13.3%
84	12%	13%	11.4%	13.6%	16.2%	12.3%
83	10.9%	11.9%	10.3%	12.5%	15%	11.2%
82	9.89%	10.9%	9.36%	11.6%	14%	10.2%
81	8.87%	9.88%	8.35%	10.5%	12.9%	9.17%
80	8.18%	9.12%	7.67%	9.89%	12.1%	8.58%
79	7.55%	8.49%	7.01%	9.11%	11.1%	7.87%
78	7.09%	7.99%	6.55%	8.54%	10.4%	7.38%
77	6.58%	7.47%	6.04%	7.89%	9.57%	6.81%
76	6.21%	7.06%	5.65%	7.37%	8.9%	6.37%
75	5.84%	6.67%	5.27%	6.87%	8.28%	5.94%
74	5.48%	6.3%	4.9%	6.38%	7.68%	5.51%
73	5.13%	5.95%	4.56%	5.92%	7.12%	5.11%
72	4.83%	5.64%	4.27%	5.51%	6.62%	4.76%
71	4.48%	5.3%	3.93%	5.06%	6.09%	4.37%
70	4.27%	5.07%	3.73%	4.75%	5.7%	4.11%
69	3.99%	4.78%	3.44%	4.38%	5.25%	3.78%
68	3.78%	4.56%	3.23%	4.09%	4.9%	3.54%
67	3.55%	4.35%	3.02%	3.82%	4.56%	3.31%
66	3.36%	4.16%	2.84%	3.58%	4.26%	3.1%
65	3.22%	4%	2.69%	3.38%	4.01%	2.93%
64	2.98%	3.73%	2.47%	3.14%	3.74%	2.7%
63	2.76%	3.48%	2.27%	2.92%	3.5%	2.49%
62	2.56%	3.25%	2.1%	2.73%	3.28%	2.31%
61	2.36%	3.01%	1.92%	2.53%	3.04%	2.13%
60	2.22%	2.83%	1.79%	2.37%	2.87%	1.99%
59	2.06%	2.61%	1.64%	2.19%	2.65%	1.85%
58	1.93%	2.44%	1.53%	2.04%	2.48%	1.73%
57	1.8%	2.29%	1.42%	1.91%	2.33%	1.62%
56	1.7%	2.15%	1.33%	1.79%	2.2%	1.53%
55	1.61%	2.04%	1.25%	1.69%	2.09%	1.44%
54	1.52%	1.92%	1.17%	1.6%	1.97%	1.36%
53	1.43%	1.81%	1.1%	1.52%	1.87%	1.29%
52	1.36%	1.72%	1.04%	1.44%	1.78%	1.23%
51	1.28%	1.61%	0.97%	1.36%	1.68%	1.15%
50	1.22%	1.53%	0.92%	1.3%	1.6%	1.1%
49	1.14%	1.43%	0.86%	1.22%	1.5%	1.03%
48	1.07%	1.35%	0.81%	1.16%	1.41%	0.98%
47	1.01%	1.26%	0.75%	1.09%	1.33%	0.92%
46	0.95%	1.19%	0.71%	1.04%	1.25%	0.87%
45	0.9%	1.12%	0.67%	0.99%	1.19%	0.83%
44	0.84%	1.05%	0.63%	0.93%	1.12%	0.78%
43	0.79%	0.99%	0.6%	0.89%	1.06%	0.75%
42	0.75%	0.94%	0.57%	0.84%	1%	0.71%
41	0.71%	0.89%	0.54%	0.8%	0.95%	0.68%
40	0.68%	0.85%	0.51%	0.76%	0.9%	0.65%
39	0.64%	0.79%	0.48%	0.72%	0.85%	0.62%
38	0.6%	0.75%	0.46%	0.68%	0.8%	0.59%
37	0.56%	0.7%	0.43%	0.64%	0.75%	0.55%
36	0.53%	0.66%	0.41%	0.61%	0.71%	0.53%
35	0.5%	0.62%	0.39%	0.57%	0.66%	0.5%
34	0.47%	0.58%	0.36%	0.54%	0.62%	0.47%
33	0.44%	0.55%	0.34%	0.5%	0.58%	0.44%
32	0.42%	0.51%	0.32%	0.47%	0.54%	0.41%
31	0.39%	0.48%	0.3%	0.44%	0.51%	0.39%
30	0.37%	0.46%	0.29%	0.42%	0.48%	0.37%
29	0.35%	0.43%	0.27%	0.4%	0.45%	0.35%
28	0.33%	0.41%	0.26%	0.37%	0.42%	0.33%
27	0.32%	0.39%	0.25%	0.35%	0.4%	0.31%
26	0.3%	0.36%	0.23%	0.33%	0.37%	0.29%
25	0.28%	0.35%	0.22%	0.31%	0.35%	0.26%
24	0.27%	0.33%	0.2%	0.29%	0.33%	0.25%
23	0.25%	0.31%	0.19%	0.27%	0.31%	0.23%
22	0.24%	0.29%	0.18%	0.25%	0.29%	0.21%
21	0.22%	0.27%	0.17%	0.23%	0.27%	0.19%
20	0.2%	0.25%	0.16%	0.21%	0.25%	0.18%
19	0.19%	0.23%	0.15%	0.19%	0.22%	0.16%
18	0.17%	0.21%	0.13%	0.17%	0.2%	0.15%
17	0.15%	0.17%	0.12%	0.15%	0.17%	0.13%
16	0.13%	0.15%	0.11%	0.13%	0.14%	0.12%
15	0.11%	0.12%	0.1%	0.11%	0.12%	0.1%
14	0.09%	0.11%	0.08%	0.1%	0.1%	0.09%
13	0.08%	0.09%	0.08%	0.08%	0.09%	0.08%
12	0.08%	0.08%	0.07%	0.08%	0.08%	0.07%
11	0.07%	0.08%	0.07%	0.07%	0.08%	0.07%
10	0.07%	0.08%	0.07%	0.07%	0.08%	0.07%
9	0.08%	0.08%	0.07%	0.08%	0.08%	0.07%
8	0.08%	0.09%	0.08%	0.08%	0.09%	0.08%
7	0.09%	0.1%	0.09%	0.09%	0.1%	0.09%
6	0.1%	0.11%	0.1%	0.1%	0.11%	0.1%
5	0.12%	0.13%	0.12%	0.12%	0.13%	0.12%
4	0.16%	0.16%	0.16%	0.16%	0.17%	0.16%
3	0.22%	0.22%	0.22%	0.22%	0.22%	0.22%
2	0.32%	0.32%	0.32%	0.32%	0.32%	0.32%
1	0.5%	0.48%	0.52%	0.5%	0.48%	0.52%
0	3.6%	3.97%	3.23%	3.05%	3.4%	2.7%

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

The annual chance of dying is 3.6% in the birth year in Eswatini and 3.05% in Zimbabwe, 0.37% vs 0.42% at age 30, 2.22% vs 2.37% at 60, and 8.18% vs 9.89% at 80.

Death rate by age in Eswatini vs Zimbabwe

Chart Table

Eswatini

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Eswatini			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	36.6	16	56.8	24.9	0	53
99	150.8	94.3	204.8	105.4	43.2	168.4
98	212.7	135.1	286.8	147.6	63.5	232.4
97	295.9	190.3	396	205	92.4	318
96	400	260.9	532	277.6	131.3	423
95	524	348	691	366	181.8	548
94	666	452	868	469	244.7	687
93	825	570	1,064	588	322	843
92	999	702	1,275	724	414	1,016
91	1,171	838	1,479	863	518	1,184
90	1,369	990	1,719	1,040	647	1,401
89	1,543	1,137	1,915	1,196	779	1,570
88	1,718	1,287	2,112	1,372	930	1,762
87	1,878	1,430	2,285	1,540	1,088	1,934
86	2,022	1,563	2,440	1,709	1,253	2,102
85	2,122	1,670	2,534	1,858	1,418	2,232
84	2,208	1,771	2,609	1,999	1,583	2,345
83	2,246	1,837	2,629	2,102	1,730	2,403
82	2,264	1,889	2,625	2,197	1,873	2,450
81	2,228	1,901	2,554	2,235	1,982	2,419
80	2,237	1,930	2,541	2,328	2,113	2,474
79	2,235	1,964	2,497	2,358	2,186	2,465
78	2,258	2,010	2,497	2,416	2,272	2,497
77	2,245	2,031	2,450	2,424	2,321	2,470
76	2,255	2,065	2,431	2,444	2,370	2,468
75	2,254	2,088	2,392	2,448	2,404	2,446
74	2,237	2,105	2,342	2,427	2,414	2,401
73	2,210	2,116	2,283	2,393	2,412	2,346
72	2,184	2,126	2,231	2,356	2,400	2,294
71	2,123	2,109	2,140	2,281	2,352	2,203
70	2,112	2,126	2,105	2,250	2,336	2,164
69	2,055	2,105	2,011	2,166	2,269	2,069
68	2,022	2,103	1,953	2,111	2,224	2,007
67	1,971	2,096	1,884	2,050	2,172	1,938
66	1,929	2,091	1,822	1,993	2,121	1,875
65	1,910	2,096	1,776	1,945	2,075	1,824
64	1,823	2,030	1,669	1,866	2,014	1,726
63	1,735	1,962	1,572	1,790	1,952	1,636
62	1,653	1,895	1,481	1,718	1,890	1,553
61	1,560	1,809	1,380	1,632	1,809	1,463
60	1,503	1,753	1,315	1,571	1,756	1,398
59	1,422	1,658	1,223	1,481	1,664	1,318
58	1,359	1,590	1,157	1,411	1,599	1,257
57	1,288	1,523	1,090	1,341	1,537	1,197
56	1,236	1,466	1,037	1,284	1,485	1,146
55	1,191	1,415	984	1,233	1,440	1,097
54	1,141	1,361	937	1,184	1,389	1,052
53	1,093	1,309	890	1,140	1,342	1,009
52	1,054	1,261	851	1,100	1,298	971
51	1,003	1,204	799	1,050	1,245	925
50	971	1,163	767	1,018	1,207	892
49	917	1,100	719	969	1,146	846
48	870	1,049	680	929	1,096	806
47	824	997	641	888	1,046	766
46	784	949	607	850	1,000	731
45	749	907	579	816	958	702
44	707	860	548	779	911	669
43	673	820	523	747	871	642
42	644	784	501	717	834	617
41	612	744	474	685	795	592
40	588	716	456	659	766	571
39	555	676	431	627	725	545
38	527	644	411	599	691	522
37	499	610	388	568	655	496
36	473	576	369	539	619	473
35	449	546	350	512	586	450
34	422	514	329	481	550	423
33	398	484	312	453	517	400
32	377	458	296	428	487	379
31	355	431	278.1	403	458	356
30	341	413	267.6	385	436	341
29	323	389	253.5	363	409	323
28	307	370	240	343	387	303
27	291.7	351	227.8	324	365	286.2
26	276.2	333	215.1	304	344	267.1
25	261.8	318	202.5	286.4	326	248.2
24	247.4	301	191.2	268.5	307	231.1
23	233.7	286.1	180	251.5	289	214.4
22	219.9	269.6	169.1	234.1	270.1	198.3
21	205.3	251.3	158.1	216.1	249.9	182.2
20	191.5	232.5	149.8	200.4	229.9	170.6
19	175.6	212.4	138.7	182.4	209.2	155.3
18	159.8	192.1	127.6	164.9	188.9	140.6
17	139.6	164	115	143.2	161.3	124.9
16	120.6	137.9	103	122.8	135.4	110
15	104.1	116.5	91.4	106.1	114.9	97.1
14	89.6	99	80.1	90.9	97.8	83.9
13	79.4	86.7	72.1	80.4	85.9	74.8
12	73.2	79.9	66.5	73.9	79.4	68.4
11	70.4	76.6	64.2	70.9	76.1	65.5
10	70.1	75.1	65	70.4	74.5	66.2
9	72.6	77.3	67.9	72.9	76.9	68.8
8	78.5	83.5	73.3	78.6	83.3	73.8
7	87.5	92.4	82.5	87.5	92.4	82.5
6	98.8	102.8	94.8	98.5	103	94
5	116.9	119.6	114.1	116.6	119.9	113.1
4	153.1	156.5	149.6	153.9	157.9	149.8
3	209.5	211.6	207.2	211.7	213.4	209.9
2	303	302	304	308	305	311
1	481	464	498	484	463	505
0	3,605	3,974	3,230	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 Eswatini, the most common age of death is 0, compared to 0 in Zimbabwe. The median age of death is 69.7 in Eswatini 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 Eswatini and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x