Life Expectancy in South Sudan vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

South Sudan

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	South Sudan			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	101.7	101.6	101.8	102.2	101.9	102.2
99	100.7	100.6	100.8	101.2	101	101.3
98	99.8	99.6	99.9	100.4	100.1	100.4
97	98.9	98.7	99	99.5	99.2	99.5
96	98.1	97.8	98.1	98.6	98.4	98.7
95	97.2	96.9	97.3	97.7	97.5	97.8
94	96.3	96	96.4	96.9	96.6	97
93	95.5	95.1	95.6	96	95.7	96.1
92	94.7	94.2	94.8	95.2	94.9	95.3
91	93.8	93.4	94	94.4	94	94.5
90	93	92.6	93.2	93.6	93.2	93.8
89	92.2	91.8	92.4	92.8	92.4	93
88	91.4	91	91.6	92	91.6	92.2
87	90.6	90.2	90.8	91.2	90.8	91.5
86	89.9	89.4	90.1	90.5	90	90.8
85	89.1	88.7	89.4	89.8	89.2	90.1
84	88.4	87.9	88.6	89	88.4	89.4
83	87.7	87.2	87.9	88.4	87.7	88.7
82	87	86.5	87.2	87.7	87	88.1
81	86.3	85.8	86.6	87	86.3	87.5
80	85.6	85.1	85.9	86.4	85.6	86.9
79	85	84.5	85.3	85.8	84.9	86.3
78	84.4	83.8	84.7	85.1	84.2	85.7
77	83.8	83.2	84.2	84.5	83.6	85.2
76	83.2	82.6	83.6	83.9	83	84.6
75	82.6	82	83.1	83.4	82.3	84.1
74	82.1	81.5	82.6	82.8	81.7	83.5
73	81.6	80.9	82.1	82.2	81.2	83
72	81.1	80.4	81.6	81.7	80.6	82.5
71	80.6	79.8	81.1	81.2	80	82.1
70	80.1	79.3	80.7	80.7	79.5	81.6
69	79.7	78.9	80.2	80.2	79	81.1
68	79.2	78.4	79.8	79.7	78.4	80.7
67	78.8	77.9	79.5	79.2	77.9	80.2
66	78.4	77.5	79.1	78.8	77.5	79.8
65	78	77.1	78.7	78.3	77	79.4
64	77.6	76.7	78.4	77.9	76.5	79
63	77.3	76.3	78.1	77.5	76.1	78.6
62	76.9	75.9	77.8	77.1	75.6	78.2
61	76.6	75.5	77.5	76.7	75.2	77.9
60	76.3	75.1	77.2	76.3	74.8	77.5
59	76	74.8	76.9	75.9	74.4	77.2
58	75.7	74.5	76.7	75.6	74	76.9
57	75.4	74.1	76.4	75.2	73.6	76.6
56	75.1	73.8	76.2	74.9	73.2	76.3
55	74.8	73.5	76	74.6	72.8	76
54	74.5	73.2	75.7	74.2	72.5	75.7
53	74.3	72.9	75.5	73.9	72.1	75.4
52	74	72.6	75.3	73.6	71.8	75.1
51	73.8	72.3	75.1	73.3	71.4	74.8
50	73.5	72	74.8	73	71.1	74.6
49	73.3	71.7	74.6	72.7	70.8	74.3
48	73	71.4	74.4	72.5	70.5	74
47	72.8	71.2	74.3	72.2	70.2	73.8
46	72.6	70.9	74.1	71.9	69.9	73.6
45	72.4	70.6	73.9	71.7	69.6	73.3
44	72.1	70.4	73.7	71.4	69.3	73.1
43	71.9	70.1	73.5	71.2	69	72.9
42	71.7	69.9	73.3	70.9	68.7	72.7
41	71.5	69.6	73.1	70.7	68.5	72.5
40	71.2	69.4	72.9	70.5	68.2	72.2
39	71	69.1	72.7	70.2	68	72
38	70.8	68.9	72.5	70	67.8	71.9
37	70.6	68.6	72.4	69.8	67.5	71.7
36	70.4	68.4	72.2	69.6	67.3	71.5
35	70.2	68.2	72	69.4	67.1	71.3
34	70	67.9	71.8	69.2	66.9	71.1
33	69.8	67.7	71.7	69	66.7	71
32	69.5	67.4	71.5	68.9	66.5	70.8
31	69.3	67.2	71.3	68.7	66.3	70.6
30	69.1	67	71.1	68.5	66.2	70.5
29	68.9	66.7	71	68.4	66	70.4
28	68.7	66.5	70.8	68.2	65.8	70.2
27	68.5	66.2	70.6	68.1	65.7	70.1
26	68.3	65.9	70.4	68	65.5	70
25	68	65.7	70.3	67.8	65.4	69.8
24	67.8	65.4	70.1	67.7	65.3	69.7
23	67.6	65.1	70	67.6	65.1	69.6
22	67.4	64.9	69.8	67.5	65	69.5
21	67.2	64.6	69.6	67.4	64.9	69.4
20	67	64.4	69.5	67.3	64.8	69.3
19	66.8	64.1	69.3	67.2	64.7	69.3
18	66.6	63.9	69.2	67.1	64.6	69.2
17	66.4	63.7	69	67	64.5	69.1
16	66.3	63.5	68.9	67	64.4	69.1
15	66.1	63.4	68.8	66.9	64.4	69
14	66	63.2	68.7	66.8	64.3	69
13	65.8	63.1	68.5	66.8	64.3	68.9
12	65.7	62.9	68.4	66.8	64.2	68.9
11	65.5	62.8	68.3	66.7	64.2	68.8
10	65.4	62.6	68.2	66.7	64.2	68.8
9	65.2	62.4	68	66.6	64.1	68.8
8	65	62.1	67.8	66.6	64.1	68.7
7	64.7	61.8	67.6	66.5	64	68.7
6	64.4	61.5	67.3	66.5	64	68.6
5	64	61.1	67	66.4	63.9	68.5
4	63.6	60.6	66.6	66.3	63.8	68.4
3	63.1	60.1	66.1	66.2	63.6	68.3
2	62.5	59.5	65.5	66	63.5	68.1
1	61.8	58.9	64.7	65.6	63.2	67.7
0	58	55	61	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 South Sudan can expect to live to 69.1 years compared to 68.5 in Zimbabwe, rising to 78 and 78.3 at 65, and to 85.6 and 86.4 at 80 — higher than the 58 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

South Sudan

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	South Sudan			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	0.06%	0.02%	0.1%	0.2%	0.07%	0.33%
99	0.1%	0.03%	0.17%	0.31%	0.12%	0.5%
98	0.17%	0.05%	0.28%	0.46%	0.18%	0.73%
97	0.27%	0.1%	0.44%	0.66%	0.27%	1.05%
96	0.43%	0.16%	0.67%	0.94%	0.4%	1.47%
95	0.64%	0.27%	1%	1.3%	0.59%	2.02%
94	0.94%	0.44%	1.44%	1.77%	0.83%	2.71%
93	1.35%	0.67%	2.01%	2.36%	1.15%	3.55%
92	1.87%	1%	2.73%	3.08%	1.57%	4.57%
91	2.54%	1.45%	3.62%	3.95%	2.09%	5.75%
90	3.37%	2.03%	4.7%	4.99%	2.73%	7.15%
89	4.38%	2.76%	5.98%	6.18%	3.51%	8.72%
88	5.58%	3.65%	7.47%	7.56%	4.44%	10.5%
87	6.96%	4.7%	9.18%	9.1%	5.53%	12.4%
86	8.54%	5.92%	11.1%	10.8%	6.78%	14.5%
85	10.3%	7.31%	13.2%	12.7%	8.2%	16.8%
84	12.3%	8.88%	15.6%	14.7%	9.78%	19.1%
83	14.4%	10.6%	18%	16.8%	11.5%	21.5%
82	16.6%	12.5%	20.6%	19%	13.4%	24%
81	18.9%	14.5%	23.3%	21.2%	15.4%	26.4%
80	21.3%	16.6%	26.1%	23.5%	17.5%	28.8%
79	23.8%	18.8%	28.8%	25.9%	19.7%	31.3%
78	26.3%	21%	31.6%	28.3%	21.9%	33.8%
77	28.8%	23.3%	34.3%	30.7%	24.3%	36.3%
76	31.3%	25.6%	36.9%	33.2%	26.6%	38.7%
75	33.7%	27.9%	39.6%	35.6%	29%	41.2%
74	36.2%	30.2%	42.1%	38%	31.4%	43.6%
73	38.5%	32.5%	44.6%	40.4%	33.9%	45.9%
72	40.8%	34.7%	46.9%	42.8%	36.3%	48.2%
71	43%	36.9%	49.2%	45.1%	38.6%	50.4%
70	45.1%	39%	51.3%	47.3%	40.9%	52.6%
69	47.1%	41%	53.3%	49.5%	43.2%	54.7%
68	49.1%	42.9%	55.2%	51.6%	45.4%	56.7%
67	50.9%	44.8%	57%	53.6%	47.6%	58.6%
66	52.6%	46.6%	58.7%	55.6%	49.7%	60.5%
65	54.2%	48.3%	60.2%	57.6%	51.8%	62.3%
64	55.8%	49.9%	61.7%	59.5%	53.8%	64%
63	57.3%	51.5%	63.1%	61.2%	55.8%	65.7%
62	58.6%	53%	64.3%	63%	57.7%	67.2%
61	59.9%	54.4%	65.5%	64.6%	59.5%	68.7%
60	61.1%	55.7%	66.6%	66.2%	61.2%	70.1%
59	62.3%	57%	67.6%	67.6%	62.9%	71.4%
58	63.3%	58.2%	68.6%	69.1%	64.5%	72.7%
57	64.4%	59.3%	69.5%	70.4%	66%	73.9%
56	65.3%	60.4%	70.3%	71.7%	67.5%	75%
55	66.3%	61.5%	71.1%	72.9%	69%	76.1%
54	67.2%	62.5%	71.9%	74.1%	70.3%	77.2%
53	68%	63.5%	72.7%	75.2%	71.7%	78.2%
52	68.9%	64.5%	73.4%	76.3%	73%	79.1%
51	69.7%	65.4%	74%	77.4%	74.2%	80.1%
50	70.4%	66.3%	74.7%	78.4%	75.4%	81%
49	71.1%	67.1%	75.3%	79.4%	76.6%	81.8%
48	71.8%	67.9%	75.8%	80.3%	77.7%	82.6%
47	72.5%	68.6%	76.4%	81.2%	78.7%	83.4%
46	73.1%	69.4%	76.9%	82%	79.7%	84.1%
45	73.7%	70.1%	77.4%	82.9%	80.7%	84.8%
44	74.3%	70.8%	77.9%	83.6%	81.6%	85.5%
43	74.9%	71.5%	78.4%	84.4%	82.5%	86.1%
42	75.5%	72.1%	78.9%	85.1%	83.3%	86.7%
41	76.1%	72.8%	79.4%	85.8%	84.1%	87.3%
40	76.6%	73.4%	79.9%	86.4%	84.9%	87.9%
39	77.1%	74%	80.3%	87.1%	85.6%	88.4%
38	77.6%	74.6%	80.8%	87.7%	86.3%	89%
37	78.1%	75.2%	81.2%	88.2%	86.9%	89.5%
36	78.6%	75.8%	81.6%	88.8%	87.5%	89.9%
35	79.1%	76.3%	82%	89.3%	88.1%	90.4%
34	79.6%	76.9%	82.4%	89.8%	88.7%	90.8%
33	80%	77.4%	82.7%	90.2%	89.2%	91.2%
32	80.5%	77.9%	83.1%	90.7%	89.7%	91.6%
31	80.9%	78.5%	83.5%	91.1%	90.1%	91.9%
30	81.4%	79%	83.8%	91.4%	90.6%	92.3%
29	81.8%	79.5%	84.2%	91.8%	91%	92.6%
28	82.2%	80.1%	84.5%	92.1%	91.4%	92.9%
27	82.7%	80.6%	84.9%	92.5%	91.7%	93.2%
26	83.1%	81.1%	85.2%	92.8%	92.1%	93.5%
25	83.5%	81.6%	85.5%	93.1%	92.4%	93.7%
24	84%	82.2%	85.8%	93.3%	92.7%	93.9%
23	84.4%	82.7%	86.1%	93.6%	93%	94.2%
22	84.8%	83.2%	86.4%	93.8%	93.3%	94.4%
21	85.2%	83.7%	86.7%	94%	93.5%	94.5%
20	85.6%	84.2%	87%	94.2%	93.8%	94.7%
19	85.9%	84.7%	87.2%	94.4%	94%	94.9%
18	86.2%	85.1%	87.5%	94.6%	94.2%	95%
17	86.5%	85.4%	87.7%	94.7%	94.3%	95.1%
16	86.8%	85.7%	87.9%	94.8%	94.5%	95.2%
15	87.1%	86%	88.2%	94.9%	94.6%	95.3%
14	87.3%	86.3%	88.4%	95%	94.7%	95.4%
13	87.5%	86.6%	88.5%	95.1%	94.8%	95.5%
12	87.8%	86.8%	88.7%	95.2%	94.8%	95.6%
11	88%	87.1%	88.9%	95.3%	94.9%	95.6%
10	88.3%	87.4%	89.1%	95.3%	95%	95.7%
9	88.6%	87.8%	89.4%	95.4%	95.1%	95.8%
8	88.9%	88.2%	89.7%	95.5%	95.1%	95.8%
7	89.3%	88.6%	90%	95.6%	95.2%	95.9%
6	89.8%	89.2%	90.4%	95.7%	95.3%	96%
5	90.3%	89.8%	90.9%	95.8%	95.5%	96.1%
4	91%	90.6%	91.5%	95.9%	95.6%	96.3%
3	91.8%	91.4%	92.2%	96.2%	95.8%	96.5%
2	92.7%	92.3%	93.1%	96.5%	96.1%	96.8%
1	93.8%	93.3%	94.2%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 61.1% of newborns in South Sudan and 66.2% in Zimbabwe are expected to live past 60, 45.1% and 47.3% past 70, 21.3% and 23.5% past 80, and only 3.37% 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

South Sudan

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	South Sudan			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	45.7%	49.1%	43.1%	35.7%	38.2%	35%
99	43.7%	47.1%	41%	34.3%	36.9%	33.6%
98	40.5%	45.5%	39.1%	32.4%	35.2%	31.7%
97	37.7%	43.8%	37.1%	31.1%	33.9%	30.2%
96	35.6%	41.9%	35%	29.6%	32.5%	28.7%
95	33.8%	39.8%	32.8%	28.1%	31%	27.1%
94	31.9%	37.5%	30.6%	26.4%	29.5%	25.4%
93	30%	35.2%	28.4%	24.9%	27.9%	23.7%
92	28.1%	33%	26.4%	23.5%	26.4%	22.2%
91	26.3%	30.8%	24.6%	21.9%	24.9%	20.6%
90	24.6%	28.6%	22.9%	20.9%	23.7%	19.6%
89	23%	26.4%	21.4%	19.3%	22.2%	18%
88	21.4%	24.3%	20%	18.2%	20.9%	16.8%
87	19.9%	22.4%	18.6%	16.9%	19.7%	15.6%
86	18.5%	20.6%	17.4%	15.8%	18.5%	14.5%
85	17.1%	19%	16.1%	14.7%	17.3%	13.3%
84	15.9%	17.6%	14.9%	13.6%	16.2%	12.3%
83	14.6%	16.3%	13.7%	12.5%	15%	11.2%
82	13.5%	15%	12.6%	11.6%	14%	10.2%
81	12.4%	13.8%	11.5%	10.5%	12.9%	9.17%
80	11.3%	12.7%	10.5%	9.89%	12.1%	8.58%
79	10.4%	11.7%	9.54%	9.11%	11.1%	7.87%
78	9.47%	10.7%	8.69%	8.54%	10.4%	7.38%
77	8.67%	9.8%	7.92%	7.89%	9.57%	6.81%
76	7.94%	9%	7.23%	7.37%	8.9%	6.37%
75	7.29%	8.28%	6.61%	6.87%	8.28%	5.94%
74	6.69%	7.61%	6.05%	6.38%	7.68%	5.51%
73	6.14%	6.99%	5.52%	5.92%	7.12%	5.11%
72	5.62%	6.41%	5.03%	5.51%	6.62%	4.76%
71	5.13%	5.87%	4.58%	5.06%	6.09%	4.37%
70	4.68%	5.37%	4.16%	4.75%	5.7%	4.11%
69	4.26%	4.91%	3.77%	4.38%	5.25%	3.78%
68	3.9%	4.5%	3.43%	4.09%	4.9%	3.54%
67	3.57%	4.14%	3.12%	3.82%	4.56%	3.31%
66	3.28%	3.83%	2.84%	3.58%	4.26%	3.1%
65	3.02%	3.54%	2.6%	3.38%	4.01%	2.93%
64	2.78%	3.28%	2.37%	3.14%	3.74%	2.7%
63	2.56%	3.04%	2.17%	2.92%	3.5%	2.49%
62	2.35%	2.81%	1.97%	2.73%	3.28%	2.31%
61	2.16%	2.59%	1.8%	2.53%	3.04%	2.13%
60	1.98%	2.39%	1.64%	2.37%	2.87%	1.99%
59	1.82%	2.21%	1.5%	2.19%	2.65%	1.85%
58	1.69%	2.06%	1.39%	2.04%	2.48%	1.73%
57	1.58%	1.93%	1.29%	1.91%	2.33%	1.62%
56	1.49%	1.82%	1.21%	1.79%	2.2%	1.53%
55	1.42%	1.73%	1.15%	1.69%	2.09%	1.44%
54	1.35%	1.65%	1.09%	1.6%	1.97%	1.36%
53	1.28%	1.57%	1.03%	1.52%	1.87%	1.29%
52	1.21%	1.49%	0.97%	1.44%	1.78%	1.23%
51	1.14%	1.41%	0.91%	1.36%	1.68%	1.15%
50	1.07%	1.32%	0.85%	1.3%	1.6%	1.1%
49	1%	1.24%	0.79%	1.22%	1.5%	1.03%
48	0.95%	1.17%	0.75%	1.16%	1.41%	0.98%
47	0.9%	1.11%	0.71%	1.09%	1.33%	0.92%
46	0.86%	1.06%	0.69%	1.04%	1.25%	0.87%
45	0.84%	1.02%	0.67%	0.99%	1.19%	0.83%
44	0.81%	0.99%	0.66%	0.93%	1.12%	0.78%
43	0.79%	0.96%	0.64%	0.89%	1.06%	0.75%
42	0.77%	0.92%	0.63%	0.84%	1%	0.71%
41	0.74%	0.89%	0.61%	0.8%	0.95%	0.68%
40	0.71%	0.85%	0.58%	0.76%	0.9%	0.65%
39	0.68%	0.82%	0.56%	0.72%	0.85%	0.62%
38	0.65%	0.79%	0.53%	0.68%	0.8%	0.59%
37	0.63%	0.76%	0.51%	0.64%	0.75%	0.55%
36	0.61%	0.74%	0.49%	0.61%	0.71%	0.53%
35	0.6%	0.73%	0.48%	0.57%	0.66%	0.5%
34	0.59%	0.71%	0.47%	0.54%	0.62%	0.47%
33	0.58%	0.7%	0.46%	0.5%	0.58%	0.44%
32	0.57%	0.69%	0.45%	0.47%	0.54%	0.41%
31	0.56%	0.68%	0.44%	0.44%	0.51%	0.39%
30	0.55%	0.67%	0.43%	0.42%	0.48%	0.37%
29	0.54%	0.66%	0.42%	0.4%	0.45%	0.35%
28	0.53%	0.65%	0.41%	0.37%	0.42%	0.33%
27	0.52%	0.65%	0.39%	0.35%	0.4%	0.31%
26	0.52%	0.65%	0.38%	0.33%	0.37%	0.29%
25	0.51%	0.65%	0.37%	0.31%	0.35%	0.26%
24	0.51%	0.65%	0.36%	0.29%	0.33%	0.25%
23	0.5%	0.65%	0.35%	0.27%	0.31%	0.23%
22	0.49%	0.63%	0.34%	0.25%	0.29%	0.21%
21	0.47%	0.61%	0.33%	0.23%	0.27%	0.19%
20	0.44%	0.57%	0.32%	0.21%	0.25%	0.18%
19	0.41%	0.52%	0.3%	0.19%	0.22%	0.16%
18	0.38%	0.47%	0.29%	0.17%	0.2%	0.15%
17	0.35%	0.42%	0.27%	0.15%	0.17%	0.13%
16	0.32%	0.37%	0.26%	0.13%	0.14%	0.12%
15	0.29%	0.34%	0.24%	0.11%	0.12%	0.1%
14	0.27%	0.31%	0.22%	0.1%	0.1%	0.09%
13	0.26%	0.3%	0.22%	0.08%	0.09%	0.08%
12	0.26%	0.3%	0.22%	0.08%	0.08%	0.07%
11	0.27%	0.32%	0.22%	0.07%	0.08%	0.07%
10	0.3%	0.35%	0.24%	0.07%	0.08%	0.07%
9	0.34%	0.4%	0.27%	0.08%	0.08%	0.07%
8	0.39%	0.47%	0.31%	0.08%	0.09%	0.08%
7	0.45%	0.54%	0.36%	0.09%	0.1%	0.09%
6	0.53%	0.63%	0.43%	0.1%	0.11%	0.1%
5	0.62%	0.71%	0.53%	0.12%	0.13%	0.12%
4	0.73%	0.8%	0.65%	0.16%	0.17%	0.16%
3	0.85%	0.9%	0.8%	0.22%	0.22%	0.22%
2	0.99%	0.99%	0.98%	0.32%	0.32%	0.32%
1	1.16%	1.1%	1.22%	0.5%	0.48%	0.52%
0	6.22%	6.67%	5.75%	3.05%	3.4%	2.7%

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

The annual chance of dying is 6.22% in the birth year in South Sudan and 3.05% in Zimbabwe, 0.55% vs 0.42% at age 30, 1.98% vs 2.37% at 60, and 11.3% vs 9.89% at 80.

Death rate by age in South Sudan vs Zimbabwe

Chart Table

South Sudan

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	South Sudan			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	0	0	0	24.9	0	53
99	44.4	13.7	68.6	105.4	43.2	168.4
98	69.1	24.4	107.5	147.6	63.5	232.4
97	103.4	41.7	162.1	205	92.4	318
96	151.7	68.7	235	277.6	131.3	423
95	217.2	108.2	328	366	181.8	548
94	301	163.5	440	469	244.7	687
93	404	237	571	588	322	843
92	527	331	722	724	414	1,016
91	670	447	890	863	518	1,184
90	831	582	1,077	1,040	647	1,401
89	1,007	729	1,279	1,196	779	1,570
88	1,193	887	1,492	1,372	930	1,762
87	1,386	1,052	1,712	1,540	1,088	1,934
86	1,579	1,221	1,929	1,709	1,253	2,102
85	1,767	1,392	2,135	1,858	1,418	2,232
84	1,944	1,562	2,321	1,999	1,583	2,345
83	2,103	1,725	2,478	2,102	1,730	2,403
82	2,237	1,874	2,600	2,197	1,873	2,450
81	2,342	2,003	2,685	2,235	1,982	2,419
80	2,417	2,108	2,734	2,328	2,113	2,474
79	2,465	2,188	2,750	2,358	2,186	2,465
78	2,490	2,246	2,742	2,416	2,272	2,497
77	2,497	2,284	2,714	2,424	2,321	2,470
76	2,485	2,305	2,672	2,444	2,370	2,468
75	2,459	2,311	2,615	2,448	2,404	2,446
74	2,419	2,300	2,546	2,427	2,414	2,401
73	2,364	2,272	2,461	2,393	2,412	2,346
72	2,292	2,226	2,363	2,356	2,400	2,294
71	2,207	2,164	2,252	2,281	2,352	2,203
70	2,111	2,091	2,133	2,250	2,336	2,164
69	2,011	2,013	2,011	2,166	2,269	2,069
68	1,911	1,933	1,891	2,111	2,224	2,007
67	1,815	1,855	1,777	2,050	2,172	1,938
66	1,724	1,782	1,668	1,993	2,121	1,875
65	1,636	1,710	1,565	1,945	2,075	1,824
64	1,551	1,639	1,464	1,866	2,014	1,726
63	1,465	1,565	1,366	1,790	1,952	1,636
62	1,378	1,488	1,270	1,718	1,890	1,553
61	1,292	1,409	1,178	1,632	1,809	1,463
60	1,210	1,332	1,092	1,571	1,756	1,398
59	1,136	1,260	1,015	1,481	1,664	1,318
58	1,072	1,197	950	1,411	1,599	1,257
57	1,018	1,145	896	1,341	1,537	1,197
56	976	1,102	853	1,284	1,485	1,146
55	939	1,066	816	1,233	1,440	1,097
54	906	1,033	782	1,184	1,389	1,052
53	872	999	748	1,140	1,342	1,009
52	835	961	711	1,100	1,298	971
51	795	919	672	1,050	1,245	925
50	753	875	633	1,018	1,207	892
49	713	832	596	969	1,146	846
48	679	794	566	929	1,096	806
47	651	762	543	888	1,046	766
46	631	737	528	850	1,000	731
45	616	717	519	816	958	702
44	604	700	512	779	911	669
43	593	685	506	747	871	642
42	580	667	496	717	834	617
41	564	648	483	685	795	592
40	545	628	467	659	766	571
39	526	608	449	627	725	545
38	508	590	431	599	691	522
37	493	575	415	568	655	496
36	481	563	402	539	619	473
35	473	555	392	512	586	450
34	466	549	384	481	550	423
33	461	544	377	453	517	400
32	456	538	372	428	487	379
31	451	533	366	403	458	356
30	446	527	359	385	436	341
29	440	523	352	363	409	323
28	436	522	344	343	387	303
27	432	523	335	324	365	286.2
26	429	527	325	304	344	267.1
25	427	532	316	286.4	326	248.2
24	424	536	307	268.5	307	231.1
23	420	535	298.4	251.5	289	214.4
22	412	527	290.7	234.1	270.1	198.3
21	398	508	283.3	216.1	249.9	182.2
20	379	478	275.1	200.4	229.9	170.6
19	354	439	265.4	182.4	209.2	155.3
18	327	397	253.5	164.9	188.9	140.6
17	299.3	357	239.3	143.2	161.3	124.9
16	273.6	321	224.4	122.8	135.4	110
15	251.3	290.8	210.1	106.1	114.9	97.1
14	235.1	270	198.7	90.9	97.8	83.9
13	226.8	260.1	192	80.4	85.9	74.8
12	227.9	262.8	191.3	73.9	79.4	68.4
11	239.4	279	198.2	70.9	76.1	65.5
10	262	309	213.5	70.4	74.5	66.2
9	296.8	353	238.8	72.9	76.9	68.8
8	344	411	275.7	78.6	83.3	73.8
7	404	480	326	87.5	92.4	82.5
6	477	558	393	98.5	103	94
5	561	641	479	116.6	119.9	113.1
4	660	727	591	153.9	157.9	149.8
3	776	818	733	211.7	213.4	209.9
2	915	916	915	308	305	311
1	1,086	1,027	1,147	484	463	505
0	6,215	6,667	5,754	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 South Sudan, the most common age of death is 0, compared to 0 in Zimbabwe. The median age of death is 67.5 in South Sudan 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 South Sudan and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x