Life Expectancy in South Africa vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

South Africa

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	South Africa			Tanzania
	Average	Male	Female	Average	Male	Female
100	103.4	103.1	103.5	102.5	101.9	102.6
99	102.5	102.3	102.6	101.7	101	101.7
98	101.7	101.5	101.7	100.8	100.1	100.9
97	100.8	100.7	100.9	100	99.2	100.1
96	100	99.9	100	99.1	98.4	99.3
95	99.2	99.1	99.2	98.3	97.5	98.4
94	98.4	98.3	98.4	97.4	96.6	97.7
93	97.6	97.5	97.7	96.6	95.8	96.9
92	96.9	96.7	96.9	95.8	94.9	96.1
91	96.1	96	96.2	95.1	94.1	95.4
90	95.4	95.2	95.5	94.3	93.3	94.6
89	94.7	94.4	94.8	93.5	92.5	93.9
88	94	93.7	94.1	92.7	91.7	93.2
87	93.3	92.9	93.4	92	90.9	92.5
86	92.6	92.2	92.7	91.3	90.1	91.9
85	91.9	91.5	92.1	90.6	89.4	91.2
84	91.3	90.8	91.5	89.9	88.7	90.6
83	90.6	90.1	90.9	89.2	88	90
82	90	89.4	90.3	88.6	87.3	89.4
81	89.4	88.7	89.7	87.9	86.6	88.9
80	88.8	88	89.1	87.3	86	88.3
79	88.1	87.4	88.5	86.8	85.3	87.8
78	87.5	86.7	88	86.2	84.7	87.3
77	86.9	86	87.4	85.6	84.1	86.8
76	86.3	85.3	86.9	85.1	83.5	86.3
75	85.7	84.7	86.4	84.5	83	85.8
74	85.2	84	85.9	84	82.4	85.3
73	84.6	83.4	85.4	83.5	81.9	84.8
72	84.1	82.8	84.9	83	81.4	84.3
71	83.6	82.2	84.5	82.5	80.9	83.9
70	83.1	81.7	84.1	82.1	80.4	83.4
69	82.6	81.1	83.6	81.6	79.9	83
68	82.1	80.5	83.2	81.2	79.4	82.6
67	81.6	80	82.8	80.7	79	82.2
66	81.2	79.4	82.4	80.3	78.5	81.8
65	80.7	78.9	82.1	79.9	78.1	81.4
64	80.3	78.4	81.7	79.5	77.6	81
63	79.9	77.9	81.4	79.1	77.2	80.7
62	79.4	77.4	81	78.7	76.8	80.3
61	79	76.9	80.7	78.4	76.4	80
60	78.7	76.5	80.4	78	76.1	79.7
59	78.3	76	80.1	77.7	75.7	79.4
58	77.9	75.6	79.8	77.4	75.4	79.1
57	77.5	75.2	79.5	77.1	75	78.9
56	77.2	74.8	79.2	76.8	74.7	78.6
55	76.9	74.4	78.9	76.5	74.4	78.3
54	76.5	74	78.7	76.2	74.1	78.1
53	76.2	73.6	78.4	75.9	73.8	77.9
52	75.9	73.3	78.2	75.7	73.5	77.6
51	75.6	72.9	77.9	75.4	73.3	77.4
50	75.3	72.6	77.7	75.2	73	77.2
49	75	72.2	77.4	75	72.7	77
48	74.7	71.9	77.2	74.7	72.5	76.8
47	74.4	71.6	77	74.5	72.3	76.6
46	74.2	71.3	76.7	74.3	72	76.5
45	73.9	71	76.5	74.1	71.8	76.3
44	73.6	70.7	76.3	73.9	71.6	76.1
43	73.4	70.4	76.1	73.8	71.4	76
42	73.1	70.2	75.8	73.6	71.2	75.8
41	72.9	69.9	75.6	73.4	71	75.6
40	72.6	69.7	75.4	73.2	70.8	75.5
39	72.4	69.4	75.2	73.1	70.7	75.4
38	72.2	69.2	75	72.9	70.5	75.2
37	72	68.9	74.8	72.8	70.3	75.1
36	71.8	68.7	74.6	72.6	70.2	75
35	71.6	68.5	74.5	72.5	70	74.8
34	71.4	68.3	74.3	72.4	69.9	74.7
33	71.2	68.1	74.1	72.2	69.7	74.6
32	71	67.9	73.9	72.1	69.6	74.5
31	70.8	67.7	73.8	72	69.5	74.4
30	70.6	67.5	73.6	71.9	69.3	74.3
29	70.4	67.3	73.5	71.8	69.2	74.2
28	70.3	67.1	73.3	71.7	69.1	74.1
27	70.1	66.9	73.2	71.6	69	74
26	70	66.8	73.1	71.4	68.9	73.9
25	69.9	66.6	73	71.4	68.7	73.9
24	69.7	66.5	72.9	71.3	68.6	73.8
23	69.6	66.3	72.8	71.2	68.5	73.7
22	69.5	66.2	72.7	71.1	68.4	73.6
21	69.4	66.1	72.6	71	68.3	73.6
20	69.3	66	72.6	70.9	68.2	73.5
19	69.2	65.9	72.5	70.8	68.1	73.4
18	69.2	65.8	72.4	70.8	68.1	73.4
17	69.1	65.7	72.4	70.7	68	73.3
16	69	65.7	72.3	70.6	67.9	73.3
15	69	65.6	72.3	70.6	67.9	73.2
14	68.9	65.6	72.3	70.5	67.8	73.2
13	68.9	65.5	72.2	70.5	67.8	73.2
12	68.9	65.5	72.2	70.5	67.7	73.1
11	68.9	65.5	72.2	70.4	67.7	73.1
10	68.8	65.4	72.2	70.4	67.7	73.1
9	68.8	65.4	72.1	70.4	67.6	73
8	68.8	65.4	72.1	70.3	67.6	73
7	68.8	65.4	72.1	70.3	67.5	72.9
6	68.7	65.3	72.1	70.2	67.5	72.9
5	68.7	65.3	72	70.2	67.4	72.8
4	68.6	65.2	72	70.1	67.3	72.7
3	68.5	65.1	71.9	69.9	67.2	72.6
2	68.4	64.9	71.8	69.8	67	72.4
1	68.1	64.7	71.5	69.5	66.8	72.2
0	66.7	63.1	70.2	67.6	64.8	70.4

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 South Africa can expect to live to 70.6 years compared to 71.9 in Tanzania, rising to 80.7 and 79.9 at 65, and to 88.8 and 87.3 at 80 — higher than the 66.7 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

South Africa

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	South Africa			Tanzania
	Average	Male	Female	Average	Male	Female
100	1.63%	1%	2.22%	0.67%	0.12%	1.28%
99	2.11%	1.28%	2.88%	0.94%	0.2%	1.76%
98	2.68%	1.62%	3.67%	1.29%	0.3%	2.36%
97	3.36%	2.02%	4.59%	1.73%	0.46%	3.12%
96	4.15%	2.5%	5.67%	2.29%	0.68%	4.05%
95	5.06%	3.06%	6.91%	2.99%	0.98%	5.16%
94	6.09%	3.7%	8.3%	3.82%	1.38%	6.46%
93	7.24%	4.43%	9.84%	4.81%	1.89%	7.95%
92	8.49%	5.25%	11.5%	5.97%	2.55%	9.63%
91	9.86%	6.16%	13.3%	7.28%	3.35%	11.5%
90	11.3%	7.18%	15.2%	8.82%	4.35%	13.5%
89	12.9%	8.29%	17.3%	10.5%	5.52%	15.7%
88	14.6%	9.51%	19.4%	12.4%	6.9%	18.1%
87	16.4%	10.8%	21.7%	14.4%	8.47%	20.5%
86	18.2%	12.2%	24%	16.6%	10.2%	23.1%
85	20.1%	13.7%	26.3%	19%	12.2%	25.7%
84	22.1%	15.2%	28.6%	21.4%	14.3%	28.4%
83	24%	16.8%	31%	23.9%	16.6%	31%
82	26%	18.5%	33.4%	26.5%	19%	33.6%
81	28.1%	20.2%	35.8%	29%	21.4%	36.1%
80	30.2%	22%	38.2%	31.5%	24%	38.5%
79	32.3%	23.9%	40.6%	34.1%	26.6%	41%
78	34.6%	25.9%	43%	36.6%	29.2%	43.4%
77	36.8%	28%	45.4%	39.2%	31.8%	45.8%
76	39%	30.1%	47.7%	41.7%	34.5%	48.2%
75	41.2%	32.3%	50%	44.2%	37.1%	50.6%
74	43.4%	34.4%	52.1%	46.6%	39.7%	52.9%
73	45.5%	36.6%	54.2%	49%	42.2%	55.1%
72	47.5%	38.7%	56.2%	51.3%	44.7%	57.3%
71	49.6%	40.8%	58.2%	53.5%	47.1%	59.4%
70	51.6%	42.9%	60%	55.7%	49.5%	61.4%
69	53.5%	45.1%	61.9%	57.7%	51.8%	63.3%
68	55.5%	47.2%	63.6%	59.7%	54%	65.2%
67	57.3%	49.3%	65.3%	61.7%	56.2%	67%
66	59.2%	51.4%	66.8%	63.6%	58.3%	68.8%
65	60.9%	53.4%	68.3%	65.4%	60.3%	70.5%
64	62.6%	55.4%	69.8%	67.2%	62.3%	72%
63	64.2%	57.3%	71.1%	68.8%	64.2%	73.5%
62	65.7%	59.1%	72.4%	70.4%	66%	74.9%
61	67.2%	60.9%	73.6%	71.9%	67.6%	76.2%
60	68.7%	62.6%	74.7%	73.3%	69.3%	77.5%
59	70%	64.3%	75.9%	74.7%	70.8%	78.6%
58	71.4%	65.9%	76.9%	75.9%	72.2%	79.7%
57	72.7%	67.5%	78%	77.1%	73.6%	80.7%
56	73.9%	69%	78.9%	78.2%	74.9%	81.6%
55	75.1%	70.5%	79.9%	79.3%	76.1%	82.5%
54	76.2%	71.9%	80.7%	80.3%	77.3%	83.3%
53	77.3%	73.2%	81.6%	81.3%	78.4%	84.2%
52	78.4%	74.5%	82.4%	82.2%	79.4%	84.9%
51	79.4%	75.7%	83.1%	83%	80.4%	85.6%
50	80.3%	76.9%	83.9%	83.9%	81.4%	86.3%
49	81.2%	78%	84.6%	84.6%	82.3%	86.9%
48	82.1%	79.1%	85.3%	85.3%	83.1%	87.5%
47	83%	80.1%	85.9%	86%	83.9%	88.1%
46	83.8%	81.1%	86.6%	86.6%	84.7%	88.6%
45	84.6%	82%	87.2%	87.2%	85.4%	89.1%
44	85.3%	82.9%	87.8%	87.8%	86%	89.6%
43	86%	83.7%	88.4%	88.3%	86.7%	90%
42	86.7%	84.5%	89%	88.8%	87.2%	90.5%
41	87.4%	85.3%	89.6%	89.3%	87.8%	90.8%
40	88.1%	86%	90.1%	89.8%	88.3%	91.2%
39	88.7%	86.7%	90.6%	90.2%	88.8%	91.6%
38	89.2%	87.4%	91.1%	90.6%	89.3%	91.9%
37	89.8%	88.1%	91.6%	91%	89.8%	92.2%
36	90.4%	88.7%	92%	91.3%	90.2%	92.5%
35	90.9%	89.3%	92.5%	91.7%	90.6%	92.8%
34	91.4%	89.9%	92.9%	92%	90.9%	93.1%
33	91.8%	90.4%	93.3%	92.3%	91.3%	93.3%
32	92.3%	91%	93.6%	92.6%	91.6%	93.6%
31	92.7%	91.5%	94%	92.9%	92%	93.8%
30	93.1%	91.9%	94.3%	93.1%	92.3%	94%
29	93.5%	92.4%	94.6%	93.4%	92.5%	94.2%
28	93.9%	92.8%	94.9%	93.6%	92.8%	94.4%
27	94.2%	93.2%	95.2%	93.8%	93.1%	94.6%
26	94.5%	93.6%	95.4%	94%	93.3%	94.8%
25	94.8%	94%	95.7%	94.2%	93.6%	94.9%
24	95.1%	94.3%	95.9%	94.4%	93.8%	95.1%
23	95.3%	94.6%	96%	94.6%	94%	95.2%
22	95.5%	94.9%	96.2%	94.8%	94.2%	95.4%
21	95.7%	95.1%	96.3%	95%	94.4%	95.5%
20	95.9%	95.4%	96.5%	95.1%	94.6%	95.6%
19	96.1%	95.6%	96.6%	95.3%	94.8%	95.7%
18	96.2%	95.7%	96.7%	95.4%	95%	95.8%
17	96.3%	95.9%	96.8%	95.5%	95.1%	95.9%
16	96.4%	96%	96.9%	95.6%	95.2%	96%
15	96.5%	96.1%	97%	95.7%	95.3%	96.1%
14	96.6%	96.2%	97%	95.8%	95.4%	96.1%
13	96.6%	96.2%	97.1%	95.8%	95.5%	96.2%
12	96.7%	96.3%	97.1%	95.9%	95.5%	96.2%
11	96.7%	96.3%	97.1%	95.9%	95.6%	96.3%
10	96.8%	96.4%	97.2%	96%	95.7%	96.4%
9	96.8%	96.4%	97.2%	96.1%	95.7%	96.4%
8	96.8%	96.5%	97.2%	96.1%	95.8%	96.5%
7	96.9%	96.5%	97.3%	96.2%	95.9%	96.5%
6	96.9%	96.6%	97.3%	96.3%	96%	96.6%
5	97%	96.7%	97.4%	96.4%	96.1%	96.7%
4	97.1%	96.8%	97.4%	96.5%	96.2%	96.8%
3	97.2%	96.9%	97.6%	96.7%	96.4%	97%
2	97.5%	97.2%	97.8%	96.9%	96.6%	97.2%
1	97.8%	97.6%	98.1%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 68.7% of newborns in South Africa and 73.3% in Tanzania are expected to live past 60, 51.6% and 55.7% past 70, 30.2% and 31.5% past 80, and only 11.3% and 8.82% past 90.

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

Odds of dying at each age

Chart Table

South Africa

Male

Female

Tanzania

Male

Female

1x

Age	Probability of dying
	South Africa			Tanzania
	Average	Male	Female	Average	Male	Female
100	23.6%	22.9%	23.9%	29.4%	38.6%	28.4%
99	22.5%	22%	22.8%	28.3%	37.1%	27.2%
98	21.3%	21%	21.5%	26.8%	35.3%	25.5%
97	20.2%	20%	20.2%	25.7%	33.9%	24.3%
96	19%	19.1%	19%	24.5%	32.3%	23%
95	18%	18.2%	17.9%	23.3%	30.7%	21.6%
94	16.9%	17.3%	16.8%	21.8%	28.9%	20.1%
93	15.9%	16.5%	15.6%	20.6%	27.3%	18.7%
92	14.8%	15.6%	14.5%	19.4%	25.7%	17.5%
91	13.8%	14.8%	13.5%	18.1%	24%	16%
90	13%	14.1%	12.6%	17.4%	22.9%	15.3%
89	12.3%	13.5%	11.8%	16.1%	21.3%	13.9%
88	11.5%	12.8%	11.1%	15.2%	20%	13%
87	10.8%	12.1%	10.3%	14.2%	18.6%	12%
86	10.1%	11.4%	9.6%	13.3%	17.3%	11.1%
85	9.43%	10.7%	8.88%	12.3%	16%	10.2%
84	8.78%	10%	8.21%	11.4%	14.9%	9.37%
83	8.21%	9.46%	7.62%	10.4%	13.7%	8.46%
82	7.71%	8.97%	7.1%	9.6%	12.6%	7.7%
81	7.3%	8.57%	6.66%	8.6%	11.4%	6.8%
80	6.96%	8.26%	6.28%	8.09%	10.6%	6.4%
79	6.67%	8%	5.94%	7.47%	9.73%	5.95%
78	6.37%	7.73%	5.61%	7.01%	9.02%	5.65%
77	6.06%	7.42%	5.26%	6.47%	8.26%	5.24%
76	5.71%	7.05%	4.89%	6.05%	7.65%	4.95%
75	5.35%	6.64%	4.53%	5.63%	7.08%	4.66%
74	4.98%	6.22%	4.17%	5.22%	6.52%	4.35%
73	4.64%	5.83%	3.85%	4.83%	6.02%	4.06%
72	4.34%	5.49%	3.57%	4.5%	5.58%	3.8%
71	4.09%	5.2%	3.33%	4.12%	5.1%	3.49%
70	3.87%	4.95%	3.12%	3.91%	4.8%	3.33%
69	3.67%	4.72%	2.92%	3.59%	4.41%	3.06%
68	3.48%	4.5%	2.74%	3.37%	4.12%	2.88%
67	3.28%	4.28%	2.55%	3.16%	3.84%	2.7%
66	3.08%	4.04%	2.37%	2.97%	3.6%	2.54%
65	2.88%	3.79%	2.19%	2.83%	3.4%	2.41%
64	2.68%	3.55%	2.03%	2.61%	3.15%	2.2%
63	2.5%	3.32%	1.88%	2.42%	2.92%	2.02%
62	2.34%	3.11%	1.75%	2.25%	2.71%	1.86%
61	2.2%	2.93%	1.65%	2.06%	2.49%	1.7%
60	2.08%	2.76%	1.55%	1.94%	2.34%	1.58%
59	1.98%	2.61%	1.47%	1.78%	2.14%	1.44%
58	1.88%	2.47%	1.39%	1.66%	1.99%	1.34%
57	1.78%	2.33%	1.32%	1.54%	1.85%	1.24%
56	1.68%	2.2%	1.24%	1.44%	1.73%	1.16%
55	1.58%	2.07%	1.16%	1.35%	1.62%	1.09%
54	1.49%	1.94%	1.09%	1.26%	1.52%	1.02%
53	1.4%	1.83%	1.02%	1.18%	1.42%	0.95%
52	1.32%	1.72%	0.96%	1.11%	1.34%	0.9%
51	1.25%	1.62%	0.91%	1.03%	1.24%	0.83%
50	1.19%	1.52%	0.87%	0.97%	1.17%	0.79%
49	1.13%	1.44%	0.84%	0.9%	1.08%	0.73%
48	1.08%	1.35%	0.8%	0.84%	1.01%	0.68%
47	1.03%	1.28%	0.78%	0.78%	0.94%	0.63%
46	0.98%	1.2%	0.75%	0.73%	0.88%	0.59%
45	0.93%	1.13%	0.73%	0.69%	0.83%	0.56%
44	0.88%	1.07%	0.7%	0.64%	0.77%	0.52%
43	0.84%	1.01%	0.68%	0.6%	0.72%	0.49%
42	0.8%	0.95%	0.65%	0.57%	0.68%	0.47%
41	0.76%	0.9%	0.63%	0.53%	0.63%	0.44%
40	0.73%	0.86%	0.6%	0.51%	0.6%	0.42%
39	0.69%	0.82%	0.57%	0.47%	0.56%	0.39%
38	0.66%	0.78%	0.54%	0.45%	0.53%	0.37%
37	0.63%	0.74%	0.51%	0.42%	0.5%	0.34%
36	0.6%	0.71%	0.49%	0.39%	0.47%	0.33%
35	0.57%	0.67%	0.46%	0.37%	0.44%	0.31%
34	0.54%	0.64%	0.44%	0.35%	0.41%	0.29%
33	0.51%	0.61%	0.42%	0.33%	0.39%	0.27%
32	0.49%	0.58%	0.4%	0.31%	0.37%	0.25%
31	0.46%	0.55%	0.38%	0.29%	0.34%	0.24%
30	0.44%	0.52%	0.36%	0.28%	0.33%	0.23%
29	0.41%	0.5%	0.33%	0.26%	0.31%	0.21%
28	0.39%	0.47%	0.31%	0.25%	0.3%	0.2%
27	0.36%	0.44%	0.28%	0.24%	0.28%	0.19%
26	0.33%	0.41%	0.25%	0.22%	0.27%	0.18%
25	0.3%	0.38%	0.23%	0.21%	0.26%	0.17%
24	0.28%	0.35%	0.2%	0.2%	0.25%	0.16%
23	0.25%	0.32%	0.18%	0.19%	0.24%	0.15%
22	0.23%	0.29%	0.17%	0.18%	0.23%	0.14%
21	0.21%	0.26%	0.15%	0.17%	0.21%	0.13%
20	0.19%	0.23%	0.14%	0.16%	0.2%	0.13%
19	0.16%	0.2%	0.13%	0.15%	0.18%	0.12%
18	0.14%	0.18%	0.11%	0.14%	0.17%	0.11%
17	0.12%	0.15%	0.1%	0.12%	0.14%	0.1%
16	0.11%	0.12%	0.09%	0.1%	0.12%	0.09%
15	0.09%	0.1%	0.07%	0.09%	0.1%	0.08%
14	0.07%	0.09%	0.06%	0.08%	0.09%	0.07%
13	0.06%	0.07%	0.05%	0.07%	0.08%	0.06%
12	0.05%	0.06%	0.04%	0.06%	0.07%	0.06%
11	0.04%	0.05%	0.04%	0.06%	0.07%	0.05%
10	0.04%	0.05%	0.03%	0.06%	0.07%	0.05%
9	0.04%	0.05%	0.03%	0.06%	0.07%	0.06%
8	0.04%	0.05%	0.03%	0.07%	0.07%	0.06%
7	0.04%	0.05%	0.04%	0.08%	0.08%	0.07%
6	0.05%	0.06%	0.04%	0.08%	0.09%	0.08%
5	0.07%	0.08%	0.06%	0.1%	0.11%	0.09%
4	0.1%	0.11%	0.08%	0.13%	0.14%	0.12%
3	0.15%	0.17%	0.12%	0.18%	0.18%	0.17%
2	0.22%	0.25%	0.2%	0.25%	0.26%	0.25%
1	0.35%	0.38%	0.32%	0.41%	0.41%	0.4%
0	2.19%	2.44%	1.93%	2.69%	2.99%	2.38%

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

The annual chance of dying is 2.19% in the birth year in South Africa and 2.69% in Tanzania, 0.44% vs 0.28% at age 30, 2.08% vs 1.94% at 60, and 6.96% vs 8.09% at 80.

Death rate by age in South Africa vs Tanzania

Chart Table

South Africa

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	South Africa			Tanzania
	Total	Male	Female	Total	Male	Female
100	359	204.6	501	140.1	0.71	294.9
99	475	280.8	655	266.5	72.6	478
98	572	340	787	344	107.1	602
97	677	406	928	444	155.1	756
96	789	478	1,077	562	218.8	930
95	909	558	1,236	695	300	1,116
94	1,031	642	1,393	834	398	1,297
93	1,148	729	1,540	989	516	1,486
92	1,257	818	1,670	1,159	656	1,682
91	1,363	912	1,794	1,316	805	1,836
90	1,476	1,014	1,924	1,536	994	2,078
89	1,585	1,118	2,045	1,690	1,174	2,190
88	1,686	1,220	2,150	1,881	1,377	2,351
87	1,775	1,315	2,238	2,045	1,575	2,462
86	1,845	1,397	2,299	2,207	1,777	2,566
85	1,897	1,467	2,335	2,336	1,957	2,629
84	1,937	1,530	2,353	2,452	2,143	2,662
83	1,972	1,591	2,363	2,499	2,269	2,625
82	2,008	1,656	2,371	2,540	2,389	2,588
81	2,052	1,732	2,383	2,490	2,434	2,451
80	2,102	1,819	2,399	2,549	2,548	2,467
79	2,156	1,914	2,411	2,545	2,586	2,439
78	2,202	2,006	2,410	2,569	2,636	2,453
77	2,228	2,080	2,386	2,533	2,630	2,402
76	2,228	2,126	2,335	2,519	2,638	2,384
75	2,204	2,144	2,262	2,489	2,625	2,358
74	2,161	2,141	2,176	2,431	2,589	2,297
73	2,112	2,132	2,089	2,367	2,543	2,235
72	2,066	2,123	2,008	2,309	2,496	2,179
71	2,028	2,121	1,936	2,205	2,404	2,072
70	1,997	2,124	1,871	2,174	2,375	2,046
69	1,966	2,128	1,807	2,072	2,284	1,936
68	1,929	2,124	1,740	2,015	2,226	1,877
67	1,882	2,108	1,667	1,948	2,160	1,806
66	1,822	2,074	1,585	1,889	2,097	1,743
65	1,752	2,025	1,500	1,848	2,051	1,698
64	1,679	1,965	1,415	1,753	1,961	1,588
63	1,606	1,901	1,337	1,666	1,874	1,488
62	1,540	1,839	1,269	1,583	1,789	1,396
61	1,482	1,782	1,211	1,484	1,686	1,293
60	1,431	1,730	1,162	1,422	1,617	1,227
59	1,384	1,679	1,116	1,327	1,514	1,135
58	1,339	1,629	1,072	1,257	1,436	1,069
57	1,292	1,575	1,026	1,185	1,359	1,002
56	1,242	1,519	978	1,126	1,294	949
55	1,190	1,459	929	1,069	1,234	895
54	1,137	1,397	881	1,015	1,174	848
53	1,085	1,337	835	962	1,116	802
52	1,037	1,279	795	914	1,062	763
51	994	1,223	760	856	999	711
50	954	1,171	731	817	955	680
49	918	1,120	707	761	892	633
48	883	1,071	686	716	840	596
47	850	1,022	668	671	789	558
46	818	974	652	632	744	525
45	786	928	635	599	705	498
44	755	884	619	563	661	469
43	724	842	601	533	625	445
42	695	804	581	507	593	423
41	667	770	560	476	557	397
40	639	738	538	455	533	380
39	613	708	515	428	500	357
38	587	680	492	405	473	338
37	562	653	470	382	446	318
36	538	626	449	361	420	301
35	515	600	429	341	398	284.4
34	493	575	410	321	375	266.3
33	471	551	392	303	353	251.3
32	450	527	374	286.8	335	237.8
31	429	504	355	269.7	316	222.6
30	408	481	335	258.9	303	213.8
29	386	458	314	245	287.2	202.1
28	363	434	291.3	233.1	274.4	191
27	339	410	266.7	222.2	262.5	181.1
26	314	384	241.5	211.5	251.5	171
25	289.1	358	217.1	201.9	242.2	161.1
24	264.7	331	195.1	192.7	232.5	152.5
23	241.4	304	176	183.7	223.1	143.7
22	219.2	276.6	159.6	174.2	212.6	135.4
21	198.1	249	145.6	164	200.4	127
20	177.8	221.4	133.1	154.3	187.4	120.7
19	158	194.2	121.2	142.8	172.9	112.2
18	138.5	167.7	108.8	130.5	157.1	103.4
17	119.5	142.6	96	114.1	134.6	93.3
16	101.4	119.6	82.9	98.8	113.8	83.6
15	85	99.4	70.2	85	95.7	74
14	70.7	82.4	58.8	73.3	81.7	64.7
13	58.9	68.7	49	65.1	71.8	58.2
12	49.7	58.1	41.1	60	66.3	53.6
11	43	50.5	35.3	57.8	63.8	51.6
10	38.7	45.8	31.6	57.7	63	52.2
9	37	43.9	30	59.9	65.2	54.4
8	37.9	45.2	30.6	64.7	70.4	58.8
7	42.2	50.2	34.1	72.2	78.1	66.1
6	51.2	60.6	41.7	81.7	87.3	76
5	67.2	79	55.4	96.7	101.8	91.4
4	95.3	110.3	80	125.6	131.7	119.3
3	141.9	161.3	121.7	171.2	177.9	164.3
2	218.6	243.8	192.5	246.7	252.7	240.5
1	343	375	310	394	394	394
0	2,192	2,441	1,934	2,690	2,990	2,383

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 South Africa, the most common age of death is 77, compared to 0 in Tanzania. The median age of death is 70.8 in South Africa and 72.6 in Tanzania, 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 South Africa and Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x