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

Life expectancy by current age

Chart Table

South Sudan

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	South Sudan			Tanzania
	Average	Male	Female	Average	Male	Female
100	101.7	101.6	101.8	102.5	101.9	102.6
99	100.7	100.6	100.8	101.7	101	101.7
98	99.8	99.6	99.9	100.8	100.1	100.9
97	98.9	98.7	99	100	99.2	100.1
96	98.1	97.8	98.1	99.1	98.4	99.3
95	97.2	96.9	97.3	98.3	97.5	98.4
94	96.3	96	96.4	97.4	96.6	97.7
93	95.5	95.1	95.6	96.6	95.8	96.9
92	94.7	94.2	94.8	95.8	94.9	96.1
91	93.8	93.4	94	95.1	94.1	95.4
90	93	92.6	93.2	94.3	93.3	94.6
89	92.2	91.8	92.4	93.5	92.5	93.9
88	91.4	91	91.6	92.7	91.7	93.2
87	90.6	90.2	90.8	92	90.9	92.5
86	89.9	89.4	90.1	91.3	90.1	91.9
85	89.1	88.7	89.4	90.6	89.4	91.2
84	88.4	87.9	88.6	89.9	88.7	90.6
83	87.7	87.2	87.9	89.2	88	90
82	87	86.5	87.2	88.6	87.3	89.4
81	86.3	85.8	86.6	87.9	86.6	88.9
80	85.6	85.1	85.9	87.3	86	88.3
79	85	84.5	85.3	86.8	85.3	87.8
78	84.4	83.8	84.7	86.2	84.7	87.3
77	83.8	83.2	84.2	85.6	84.1	86.8
76	83.2	82.6	83.6	85.1	83.5	86.3
75	82.6	82	83.1	84.5	83	85.8
74	82.1	81.5	82.6	84	82.4	85.3
73	81.6	80.9	82.1	83.5	81.9	84.8
72	81.1	80.4	81.6	83	81.4	84.3
71	80.6	79.8	81.1	82.5	80.9	83.9
70	80.1	79.3	80.7	82.1	80.4	83.4
69	79.7	78.9	80.2	81.6	79.9	83
68	79.2	78.4	79.8	81.2	79.4	82.6
67	78.8	77.9	79.5	80.7	79	82.2
66	78.4	77.5	79.1	80.3	78.5	81.8
65	78	77.1	78.7	79.9	78.1	81.4
64	77.6	76.7	78.4	79.5	77.6	81
63	77.3	76.3	78.1	79.1	77.2	80.7
62	76.9	75.9	77.8	78.7	76.8	80.3
61	76.6	75.5	77.5	78.4	76.4	80
60	76.3	75.1	77.2	78	76.1	79.7
59	76	74.8	76.9	77.7	75.7	79.4
58	75.7	74.5	76.7	77.4	75.4	79.1
57	75.4	74.1	76.4	77.1	75	78.9
56	75.1	73.8	76.2	76.8	74.7	78.6
55	74.8	73.5	76	76.5	74.4	78.3
54	74.5	73.2	75.7	76.2	74.1	78.1
53	74.3	72.9	75.5	75.9	73.8	77.9
52	74	72.6	75.3	75.7	73.5	77.6
51	73.8	72.3	75.1	75.4	73.3	77.4
50	73.5	72	74.8	75.2	73	77.2
49	73.3	71.7	74.6	75	72.7	77
48	73	71.4	74.4	74.7	72.5	76.8
47	72.8	71.2	74.3	74.5	72.3	76.6
46	72.6	70.9	74.1	74.3	72	76.5
45	72.4	70.6	73.9	74.1	71.8	76.3
44	72.1	70.4	73.7	73.9	71.6	76.1
43	71.9	70.1	73.5	73.8	71.4	76
42	71.7	69.9	73.3	73.6	71.2	75.8
41	71.5	69.6	73.1	73.4	71	75.6
40	71.2	69.4	72.9	73.2	70.8	75.5
39	71	69.1	72.7	73.1	70.7	75.4
38	70.8	68.9	72.5	72.9	70.5	75.2
37	70.6	68.6	72.4	72.8	70.3	75.1
36	70.4	68.4	72.2	72.6	70.2	75
35	70.2	68.2	72	72.5	70	74.8
34	70	67.9	71.8	72.4	69.9	74.7
33	69.8	67.7	71.7	72.2	69.7	74.6
32	69.5	67.4	71.5	72.1	69.6	74.5
31	69.3	67.2	71.3	72	69.5	74.4
30	69.1	67	71.1	71.9	69.3	74.3
29	68.9	66.7	71	71.8	69.2	74.2
28	68.7	66.5	70.8	71.7	69.1	74.1
27	68.5	66.2	70.6	71.6	69	74
26	68.3	65.9	70.4	71.4	68.9	73.9
25	68	65.7	70.3	71.4	68.7	73.9
24	67.8	65.4	70.1	71.3	68.6	73.8
23	67.6	65.1	70	71.2	68.5	73.7
22	67.4	64.9	69.8	71.1	68.4	73.6
21	67.2	64.6	69.6	71	68.3	73.6
20	67	64.4	69.5	70.9	68.2	73.5
19	66.8	64.1	69.3	70.8	68.1	73.4
18	66.6	63.9	69.2	70.8	68.1	73.4
17	66.4	63.7	69	70.7	68	73.3
16	66.3	63.5	68.9	70.6	67.9	73.3
15	66.1	63.4	68.8	70.6	67.9	73.2
14	66	63.2	68.7	70.5	67.8	73.2
13	65.8	63.1	68.5	70.5	67.8	73.2
12	65.7	62.9	68.4	70.5	67.7	73.1
11	65.5	62.8	68.3	70.4	67.7	73.1
10	65.4	62.6	68.2	70.4	67.7	73.1
9	65.2	62.4	68	70.4	67.6	73
8	65	62.1	67.8	70.3	67.6	73
7	64.7	61.8	67.6	70.3	67.5	72.9
6	64.4	61.5	67.3	70.2	67.5	72.9
5	64	61.1	67	70.2	67.4	72.8
4	63.6	60.6	66.6	70.1	67.3	72.7
3	63.1	60.1	66.1	69.9	67.2	72.6
2	62.5	59.5	65.5	69.8	67	72.4
1	61.8	58.9	64.7	69.5	66.8	72.2
0	58	55	61	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 Sudan can expect to live to 69.1 years compared to 71.9 in Tanzania, rising to 78 and 79.9 at 65, and to 85.6 and 87.3 at 80 — higher than the 58 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 Sudan and Tanzania.

Probability of surviving to a given age

Chart Table

South Sudan

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	South Sudan			Tanzania
	Average	Male	Female	Average	Male	Female
100	0.06%	0.02%	0.1%	0.67%	0.12%	1.28%
99	0.1%	0.03%	0.17%	0.94%	0.2%	1.76%
98	0.17%	0.05%	0.28%	1.29%	0.3%	2.36%
97	0.27%	0.1%	0.44%	1.73%	0.46%	3.12%
96	0.43%	0.16%	0.67%	2.29%	0.68%	4.05%
95	0.64%	0.27%	1%	2.99%	0.98%	5.16%
94	0.94%	0.44%	1.44%	3.82%	1.38%	6.46%
93	1.35%	0.67%	2.01%	4.81%	1.89%	7.95%
92	1.87%	1%	2.73%	5.97%	2.55%	9.63%
91	2.54%	1.45%	3.62%	7.28%	3.35%	11.5%
90	3.37%	2.03%	4.7%	8.82%	4.35%	13.5%
89	4.38%	2.76%	5.98%	10.5%	5.52%	15.7%
88	5.58%	3.65%	7.47%	12.4%	6.9%	18.1%
87	6.96%	4.7%	9.18%	14.4%	8.47%	20.5%
86	8.54%	5.92%	11.1%	16.6%	10.2%	23.1%
85	10.3%	7.31%	13.2%	19%	12.2%	25.7%
84	12.3%	8.88%	15.6%	21.4%	14.3%	28.4%
83	14.4%	10.6%	18%	23.9%	16.6%	31%
82	16.6%	12.5%	20.6%	26.5%	19%	33.6%
81	18.9%	14.5%	23.3%	29%	21.4%	36.1%
80	21.3%	16.6%	26.1%	31.5%	24%	38.5%
79	23.8%	18.8%	28.8%	34.1%	26.6%	41%
78	26.3%	21%	31.6%	36.6%	29.2%	43.4%
77	28.8%	23.3%	34.3%	39.2%	31.8%	45.8%
76	31.3%	25.6%	36.9%	41.7%	34.5%	48.2%
75	33.7%	27.9%	39.6%	44.2%	37.1%	50.6%
74	36.2%	30.2%	42.1%	46.6%	39.7%	52.9%
73	38.5%	32.5%	44.6%	49%	42.2%	55.1%
72	40.8%	34.7%	46.9%	51.3%	44.7%	57.3%
71	43%	36.9%	49.2%	53.5%	47.1%	59.4%
70	45.1%	39%	51.3%	55.7%	49.5%	61.4%
69	47.1%	41%	53.3%	57.7%	51.8%	63.3%
68	49.1%	42.9%	55.2%	59.7%	54%	65.2%
67	50.9%	44.8%	57%	61.7%	56.2%	67%
66	52.6%	46.6%	58.7%	63.6%	58.3%	68.8%
65	54.2%	48.3%	60.2%	65.4%	60.3%	70.5%
64	55.8%	49.9%	61.7%	67.2%	62.3%	72%
63	57.3%	51.5%	63.1%	68.8%	64.2%	73.5%
62	58.6%	53%	64.3%	70.4%	66%	74.9%
61	59.9%	54.4%	65.5%	71.9%	67.6%	76.2%
60	61.1%	55.7%	66.6%	73.3%	69.3%	77.5%
59	62.3%	57%	67.6%	74.7%	70.8%	78.6%
58	63.3%	58.2%	68.6%	75.9%	72.2%	79.7%
57	64.4%	59.3%	69.5%	77.1%	73.6%	80.7%
56	65.3%	60.4%	70.3%	78.2%	74.9%	81.6%
55	66.3%	61.5%	71.1%	79.3%	76.1%	82.5%
54	67.2%	62.5%	71.9%	80.3%	77.3%	83.3%
53	68%	63.5%	72.7%	81.3%	78.4%	84.2%
52	68.9%	64.5%	73.4%	82.2%	79.4%	84.9%
51	69.7%	65.4%	74%	83%	80.4%	85.6%
50	70.4%	66.3%	74.7%	83.9%	81.4%	86.3%
49	71.1%	67.1%	75.3%	84.6%	82.3%	86.9%
48	71.8%	67.9%	75.8%	85.3%	83.1%	87.5%
47	72.5%	68.6%	76.4%	86%	83.9%	88.1%
46	73.1%	69.4%	76.9%	86.6%	84.7%	88.6%
45	73.7%	70.1%	77.4%	87.2%	85.4%	89.1%
44	74.3%	70.8%	77.9%	87.8%	86%	89.6%
43	74.9%	71.5%	78.4%	88.3%	86.7%	90%
42	75.5%	72.1%	78.9%	88.8%	87.2%	90.5%
41	76.1%	72.8%	79.4%	89.3%	87.8%	90.8%
40	76.6%	73.4%	79.9%	89.8%	88.3%	91.2%
39	77.1%	74%	80.3%	90.2%	88.8%	91.6%
38	77.6%	74.6%	80.8%	90.6%	89.3%	91.9%
37	78.1%	75.2%	81.2%	91%	89.8%	92.2%
36	78.6%	75.8%	81.6%	91.3%	90.2%	92.5%
35	79.1%	76.3%	82%	91.7%	90.6%	92.8%
34	79.6%	76.9%	82.4%	92%	90.9%	93.1%
33	80%	77.4%	82.7%	92.3%	91.3%	93.3%
32	80.5%	77.9%	83.1%	92.6%	91.6%	93.6%
31	80.9%	78.5%	83.5%	92.9%	92%	93.8%
30	81.4%	79%	83.8%	93.1%	92.3%	94%
29	81.8%	79.5%	84.2%	93.4%	92.5%	94.2%
28	82.2%	80.1%	84.5%	93.6%	92.8%	94.4%
27	82.7%	80.6%	84.9%	93.8%	93.1%	94.6%
26	83.1%	81.1%	85.2%	94%	93.3%	94.8%
25	83.5%	81.6%	85.5%	94.2%	93.6%	94.9%
24	84%	82.2%	85.8%	94.4%	93.8%	95.1%
23	84.4%	82.7%	86.1%	94.6%	94%	95.2%
22	84.8%	83.2%	86.4%	94.8%	94.2%	95.4%
21	85.2%	83.7%	86.7%	95%	94.4%	95.5%
20	85.6%	84.2%	87%	95.1%	94.6%	95.6%
19	85.9%	84.7%	87.2%	95.3%	94.8%	95.7%
18	86.2%	85.1%	87.5%	95.4%	95%	95.8%
17	86.5%	85.4%	87.7%	95.5%	95.1%	95.9%
16	86.8%	85.7%	87.9%	95.6%	95.2%	96%
15	87.1%	86%	88.2%	95.7%	95.3%	96.1%
14	87.3%	86.3%	88.4%	95.8%	95.4%	96.1%
13	87.5%	86.6%	88.5%	95.8%	95.5%	96.2%
12	87.8%	86.8%	88.7%	95.9%	95.5%	96.2%
11	88%	87.1%	88.9%	95.9%	95.6%	96.3%
10	88.3%	87.4%	89.1%	96%	95.7%	96.4%
9	88.6%	87.8%	89.4%	96.1%	95.7%	96.4%
8	88.9%	88.2%	89.7%	96.1%	95.8%	96.5%
7	89.3%	88.6%	90%	96.2%	95.9%	96.5%
6	89.8%	89.2%	90.4%	96.3%	96%	96.6%
5	90.3%	89.8%	90.9%	96.4%	96.1%	96.7%
4	91%	90.6%	91.5%	96.5%	96.2%	96.8%
3	91.8%	91.4%	92.2%	96.7%	96.4%	97%
2	92.7%	92.3%	93.1%	96.9%	96.6%	97.2%
1	93.8%	93.3%	94.2%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 61.1% of newborns in South Sudan and 73.3% in Tanzania are expected to live past 60, 45.1% and 55.7% past 70, 21.3% and 31.5% past 80, and only 3.37% 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 Sudan

Male

Female

Tanzania

Male

Female

1x

Age	Probability of dying
	South Sudan			Tanzania
	Average	Male	Female	Average	Male	Female
100	45.7%	49.1%	43.1%	29.4%	38.6%	28.4%
99	43.7%	47.1%	41%	28.3%	37.1%	27.2%
98	40.5%	45.5%	39.1%	26.8%	35.3%	25.5%
97	37.7%	43.8%	37.1%	25.7%	33.9%	24.3%
96	35.6%	41.9%	35%	24.5%	32.3%	23%
95	33.8%	39.8%	32.8%	23.3%	30.7%	21.6%
94	31.9%	37.5%	30.6%	21.8%	28.9%	20.1%
93	30%	35.2%	28.4%	20.6%	27.3%	18.7%
92	28.1%	33%	26.4%	19.4%	25.7%	17.5%
91	26.3%	30.8%	24.6%	18.1%	24%	16%
90	24.6%	28.6%	22.9%	17.4%	22.9%	15.3%
89	23%	26.4%	21.4%	16.1%	21.3%	13.9%
88	21.4%	24.3%	20%	15.2%	20%	13%
87	19.9%	22.4%	18.6%	14.2%	18.6%	12%
86	18.5%	20.6%	17.4%	13.3%	17.3%	11.1%
85	17.1%	19%	16.1%	12.3%	16%	10.2%
84	15.9%	17.6%	14.9%	11.4%	14.9%	9.37%
83	14.6%	16.3%	13.7%	10.4%	13.7%	8.46%
82	13.5%	15%	12.6%	9.6%	12.6%	7.7%
81	12.4%	13.8%	11.5%	8.6%	11.4%	6.8%
80	11.3%	12.7%	10.5%	8.09%	10.6%	6.4%
79	10.4%	11.7%	9.54%	7.47%	9.73%	5.95%
78	9.47%	10.7%	8.69%	7.01%	9.02%	5.65%
77	8.67%	9.8%	7.92%	6.47%	8.26%	5.24%
76	7.94%	9%	7.23%	6.05%	7.65%	4.95%
75	7.29%	8.28%	6.61%	5.63%	7.08%	4.66%
74	6.69%	7.61%	6.05%	5.22%	6.52%	4.35%
73	6.14%	6.99%	5.52%	4.83%	6.02%	4.06%
72	5.62%	6.41%	5.03%	4.5%	5.58%	3.8%
71	5.13%	5.87%	4.58%	4.12%	5.1%	3.49%
70	4.68%	5.37%	4.16%	3.91%	4.8%	3.33%
69	4.26%	4.91%	3.77%	3.59%	4.41%	3.06%
68	3.9%	4.5%	3.43%	3.37%	4.12%	2.88%
67	3.57%	4.14%	3.12%	3.16%	3.84%	2.7%
66	3.28%	3.83%	2.84%	2.97%	3.6%	2.54%
65	3.02%	3.54%	2.6%	2.83%	3.4%	2.41%
64	2.78%	3.28%	2.37%	2.61%	3.15%	2.2%
63	2.56%	3.04%	2.17%	2.42%	2.92%	2.02%
62	2.35%	2.81%	1.97%	2.25%	2.71%	1.86%
61	2.16%	2.59%	1.8%	2.06%	2.49%	1.7%
60	1.98%	2.39%	1.64%	1.94%	2.34%	1.58%
59	1.82%	2.21%	1.5%	1.78%	2.14%	1.44%
58	1.69%	2.06%	1.39%	1.66%	1.99%	1.34%
57	1.58%	1.93%	1.29%	1.54%	1.85%	1.24%
56	1.49%	1.82%	1.21%	1.44%	1.73%	1.16%
55	1.42%	1.73%	1.15%	1.35%	1.62%	1.09%
54	1.35%	1.65%	1.09%	1.26%	1.52%	1.02%
53	1.28%	1.57%	1.03%	1.18%	1.42%	0.95%
52	1.21%	1.49%	0.97%	1.11%	1.34%	0.9%
51	1.14%	1.41%	0.91%	1.03%	1.24%	0.83%
50	1.07%	1.32%	0.85%	0.97%	1.17%	0.79%
49	1%	1.24%	0.79%	0.9%	1.08%	0.73%
48	0.95%	1.17%	0.75%	0.84%	1.01%	0.68%
47	0.9%	1.11%	0.71%	0.78%	0.94%	0.63%
46	0.86%	1.06%	0.69%	0.73%	0.88%	0.59%
45	0.84%	1.02%	0.67%	0.69%	0.83%	0.56%
44	0.81%	0.99%	0.66%	0.64%	0.77%	0.52%
43	0.79%	0.96%	0.64%	0.6%	0.72%	0.49%
42	0.77%	0.92%	0.63%	0.57%	0.68%	0.47%
41	0.74%	0.89%	0.61%	0.53%	0.63%	0.44%
40	0.71%	0.85%	0.58%	0.51%	0.6%	0.42%
39	0.68%	0.82%	0.56%	0.47%	0.56%	0.39%
38	0.65%	0.79%	0.53%	0.45%	0.53%	0.37%
37	0.63%	0.76%	0.51%	0.42%	0.5%	0.34%
36	0.61%	0.74%	0.49%	0.39%	0.47%	0.33%
35	0.6%	0.73%	0.48%	0.37%	0.44%	0.31%
34	0.59%	0.71%	0.47%	0.35%	0.41%	0.29%
33	0.58%	0.7%	0.46%	0.33%	0.39%	0.27%
32	0.57%	0.69%	0.45%	0.31%	0.37%	0.25%
31	0.56%	0.68%	0.44%	0.29%	0.34%	0.24%
30	0.55%	0.67%	0.43%	0.28%	0.33%	0.23%
29	0.54%	0.66%	0.42%	0.26%	0.31%	0.21%
28	0.53%	0.65%	0.41%	0.25%	0.3%	0.2%
27	0.52%	0.65%	0.39%	0.24%	0.28%	0.19%
26	0.52%	0.65%	0.38%	0.22%	0.27%	0.18%
25	0.51%	0.65%	0.37%	0.21%	0.26%	0.17%
24	0.51%	0.65%	0.36%	0.2%	0.25%	0.16%
23	0.5%	0.65%	0.35%	0.19%	0.24%	0.15%
22	0.49%	0.63%	0.34%	0.18%	0.23%	0.14%
21	0.47%	0.61%	0.33%	0.17%	0.21%	0.13%
20	0.44%	0.57%	0.32%	0.16%	0.2%	0.13%
19	0.41%	0.52%	0.3%	0.15%	0.18%	0.12%
18	0.38%	0.47%	0.29%	0.14%	0.17%	0.11%
17	0.35%	0.42%	0.27%	0.12%	0.14%	0.1%
16	0.32%	0.37%	0.26%	0.1%	0.12%	0.09%
15	0.29%	0.34%	0.24%	0.09%	0.1%	0.08%
14	0.27%	0.31%	0.22%	0.08%	0.09%	0.07%
13	0.26%	0.3%	0.22%	0.07%	0.08%	0.06%
12	0.26%	0.3%	0.22%	0.06%	0.07%	0.06%
11	0.27%	0.32%	0.22%	0.06%	0.07%	0.05%
10	0.3%	0.35%	0.24%	0.06%	0.07%	0.05%
9	0.34%	0.4%	0.27%	0.06%	0.07%	0.06%
8	0.39%	0.47%	0.31%	0.07%	0.07%	0.06%
7	0.45%	0.54%	0.36%	0.08%	0.08%	0.07%
6	0.53%	0.63%	0.43%	0.08%	0.09%	0.08%
5	0.62%	0.71%	0.53%	0.1%	0.11%	0.09%
4	0.73%	0.8%	0.65%	0.13%	0.14%	0.12%
3	0.85%	0.9%	0.8%	0.18%	0.18%	0.17%
2	0.99%	0.99%	0.98%	0.25%	0.26%	0.25%
1	1.16%	1.1%	1.22%	0.41%	0.41%	0.4%
0	6.22%	6.67%	5.75%	2.69%	2.99%	2.38%

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

The annual chance of dying is 6.22% in the birth year in South Sudan and 2.69% in Tanzania, 0.55% vs 0.28% at age 30, 1.98% vs 1.94% at 60, and 11.3% vs 8.09% at 80.

Death rate by age in South Sudan vs Tanzania

Chart Table

South Sudan

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	South Sudan			Tanzania
	Total	Male	Female	Total	Male	Female
100	0	0	0	140.1	0.71	294.9
99	44.4	13.7	68.6	266.5	72.6	478
98	69.1	24.4	107.5	344	107.1	602
97	103.4	41.7	162.1	444	155.1	756
96	151.7	68.7	235	562	218.8	930
95	217.2	108.2	328	695	300	1,116
94	301	163.5	440	834	398	1,297
93	404	237	571	989	516	1,486
92	527	331	722	1,159	656	1,682
91	670	447	890	1,316	805	1,836
90	831	582	1,077	1,536	994	2,078
89	1,007	729	1,279	1,690	1,174	2,190
88	1,193	887	1,492	1,881	1,377	2,351
87	1,386	1,052	1,712	2,045	1,575	2,462
86	1,579	1,221	1,929	2,207	1,777	2,566
85	1,767	1,392	2,135	2,336	1,957	2,629
84	1,944	1,562	2,321	2,452	2,143	2,662
83	2,103	1,725	2,478	2,499	2,269	2,625
82	2,237	1,874	2,600	2,540	2,389	2,588
81	2,342	2,003	2,685	2,490	2,434	2,451
80	2,417	2,108	2,734	2,549	2,548	2,467
79	2,465	2,188	2,750	2,545	2,586	2,439
78	2,490	2,246	2,742	2,569	2,636	2,453
77	2,497	2,284	2,714	2,533	2,630	2,402
76	2,485	2,305	2,672	2,519	2,638	2,384
75	2,459	2,311	2,615	2,489	2,625	2,358
74	2,419	2,300	2,546	2,431	2,589	2,297
73	2,364	2,272	2,461	2,367	2,543	2,235
72	2,292	2,226	2,363	2,309	2,496	2,179
71	2,207	2,164	2,252	2,205	2,404	2,072
70	2,111	2,091	2,133	2,174	2,375	2,046
69	2,011	2,013	2,011	2,072	2,284	1,936
68	1,911	1,933	1,891	2,015	2,226	1,877
67	1,815	1,855	1,777	1,948	2,160	1,806
66	1,724	1,782	1,668	1,889	2,097	1,743
65	1,636	1,710	1,565	1,848	2,051	1,698
64	1,551	1,639	1,464	1,753	1,961	1,588
63	1,465	1,565	1,366	1,666	1,874	1,488
62	1,378	1,488	1,270	1,583	1,789	1,396
61	1,292	1,409	1,178	1,484	1,686	1,293
60	1,210	1,332	1,092	1,422	1,617	1,227
59	1,136	1,260	1,015	1,327	1,514	1,135
58	1,072	1,197	950	1,257	1,436	1,069
57	1,018	1,145	896	1,185	1,359	1,002
56	976	1,102	853	1,126	1,294	949
55	939	1,066	816	1,069	1,234	895
54	906	1,033	782	1,015	1,174	848
53	872	999	748	962	1,116	802
52	835	961	711	914	1,062	763
51	795	919	672	856	999	711
50	753	875	633	817	955	680
49	713	832	596	761	892	633
48	679	794	566	716	840	596
47	651	762	543	671	789	558
46	631	737	528	632	744	525
45	616	717	519	599	705	498
44	604	700	512	563	661	469
43	593	685	506	533	625	445
42	580	667	496	507	593	423
41	564	648	483	476	557	397
40	545	628	467	455	533	380
39	526	608	449	428	500	357
38	508	590	431	405	473	338
37	493	575	415	382	446	318
36	481	563	402	361	420	301
35	473	555	392	341	398	284.4
34	466	549	384	321	375	266.3
33	461	544	377	303	353	251.3
32	456	538	372	286.8	335	237.8
31	451	533	366	269.7	316	222.6
30	446	527	359	258.9	303	213.8
29	440	523	352	245	287.2	202.1
28	436	522	344	233.1	274.4	191
27	432	523	335	222.2	262.5	181.1
26	429	527	325	211.5	251.5	171
25	427	532	316	201.9	242.2	161.1
24	424	536	307	192.7	232.5	152.5
23	420	535	298.4	183.7	223.1	143.7
22	412	527	290.7	174.2	212.6	135.4
21	398	508	283.3	164	200.4	127
20	379	478	275.1	154.3	187.4	120.7
19	354	439	265.4	142.8	172.9	112.2
18	327	397	253.5	130.5	157.1	103.4
17	299.3	357	239.3	114.1	134.6	93.3
16	273.6	321	224.4	98.8	113.8	83.6
15	251.3	290.8	210.1	85	95.7	74
14	235.1	270	198.7	73.3	81.7	64.7
13	226.8	260.1	192	65.1	71.8	58.2
12	227.9	262.8	191.3	60	66.3	53.6
11	239.4	279	198.2	57.8	63.8	51.6
10	262	309	213.5	57.7	63	52.2
9	296.8	353	238.8	59.9	65.2	54.4
8	344	411	275.7	64.7	70.4	58.8
7	404	480	326	72.2	78.1	66.1
6	477	558	393	81.7	87.3	76
5	561	641	479	96.7	101.8	91.4
4	660	727	591	125.6	131.7	119.3
3	776	818	733	171.2	177.9	164.3
2	915	916	915	246.7	252.7	240.5
1	1,086	1,027	1,147	394	394	394
0	6,215	6,667	5,754	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 Sudan, the most common age of death is 0, compared to 0 in Tanzania. The median age of death is 67.5 in South Sudan 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 Sudan and Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x