Life Expectancy in South Sudan vs Tanzania (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in South Sudan vs Tanzania: 69.1 years vs 71.7 at 30, 78 vs 79.8 at 65, 85.6 vs 87.3 at 80 — significantly higher than the 57.9 vs 67.4 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in South Sudan and Tanzania.

Table

Current age, years	Total life expectancy, years
	South Sudan			Tanzania
	Average	Male	Female	Average	Male	Female
0	57.9	54.9	60.9	67.4	64.6	70.2
1	61.7	58.8	64.6	69.3	66.6	72
2	62.4	59.4	65.4	69.6	66.9	72.3
3	63	60	66	69.8	67.1	72.4
4	63.5	60.5	66.5	69.9	67.2	72.6
5	64	61	66.9	70	67.3	72.7
6	64.3	61.4	67.3	70.1	67.3	72.7
7	64.7	61.7	67.5	70.1	67.4	72.8
8	64.9	62	67.8	70.2	67.4	72.8
9	65.1	62.3	67.9	70.2	67.5	72.9
10	65.3	62.5	68.1	70.2	67.5	72.9
11	65.5	62.7	68.2	70.3	67.6	72.9
12	65.6	62.9	68.4	70.3	67.6	73
13	65.8	63	68.5	70.3	67.6	73
14	65.9	63.2	68.6	70.4	67.7	73
15	66.1	63.3	68.7	70.4	67.7	73.1
16	66.2	63.5	68.9	70.5	67.8	73.1
17	66.4	63.7	69	70.5	67.8	73.2
18	66.5	63.9	69.1	70.6	67.9	73.2
19	66.7	64.1	69.3	70.7	68	73.3
20	66.9	64.3	69.4	70.8	68.1	73.4
21	67.1	64.6	69.6	70.8	68.2	73.4
22	67.3	64.8	69.8	70.9	68.3	73.5
23	67.6	65.1	69.9	71	68.4	73.6
24	67.8	65.4	70.1	71.1	68.5	73.6
25	68	65.6	70.2	71.2	68.6	73.7
26	68.2	65.9	70.4	71.3	68.7	73.8
27	68.4	66.2	70.6	71.4	68.8	73.9
28	68.7	66.4	70.7	71.5	69	74
29	68.9	66.7	70.9	71.6	69.1	74.1
30	69.1	66.9	71.1	71.7	69.2	74.2
31	69.3	67.2	71.3	71.9	69.3	74.3
32	69.5	67.4	71.4	72	69.5	74.4
33	69.7	67.7	71.6	72.1	69.6	74.5
34	69.9	67.9	71.8	72.2	69.7	74.6
35	70.1	68.1	72	72.4	69.9	74.7
36	70.4	68.4	72.2	72.5	70.1	74.9
37	70.6	68.6	72.3	72.7	70.2	75
38	70.8	68.9	72.5	72.8	70.4	75.1
39	71	69.1	72.7	73	70.6	75.3
40	71.2	69.3	72.9	73.1	70.7	75.4
41	71.4	69.6	73.1	73.3	70.9	75.5
42	71.6	69.9	73.3	73.5	71.1	75.7
43	71.9	70.1	73.5	73.7	71.3	75.9
44	72.1	70.4	73.7	73.8	71.5	76
45	72.3	70.6	73.8	74	71.7	76.2
46	72.6	70.9	74	74.2	71.9	76.4
47	72.8	71.2	74.2	74.4	72.2	76.5
48	73	71.4	74.4	74.7	72.4	76.7
49	73.3	71.7	74.6	74.9	72.7	76.9
50	73.5	72	74.8	75.1	72.9	77.1
51	73.7	72.3	75	75.4	73.2	77.3
52	74	72.6	75.2	75.6	73.5	77.6
53	74.3	72.9	75.5	75.9	73.7	77.8
54	74.5	73.2	75.7	76.1	74	78
55	74.8	73.5	75.9	76.4	74.3	78.3
56	75.1	73.8	76.2	76.7	74.7	78.5
57	75.4	74.1	76.4	77	75	78.8
58	75.7	74.5	76.7	77.3	75.3	79.1
59	76	74.8	76.9	77.6	75.7	79.4
60	76.3	75.1	77.2	78	76	79.6
61	76.6	75.5	77.5	78.3	76.4	80
62	76.9	75.9	77.8	78.7	76.8	80.3
63	77.3	76.3	78.1	79	77.2	80.6
64	77.6	76.7	78.4	79.4	77.6	81
65	78	77.1	78.7	79.8	78	81.4
66	78.4	77.5	79.1	80.3	78.5	81.7
67	78.8	77.9	79.5	80.7	78.9	82.1
68	79.2	78.4	79.8	81.1	79.4	82.6
69	79.6	78.9	80.2	81.6	79.8	83
70	80.1	79.3	80.7	82	80.3	83.4
71	80.6	79.8	81.1	82.5	80.8	83.9
72	81.1	80.4	81.6	83	81.3	84.3
73	81.6	80.9	82	83.5	81.9	84.8
74	82.1	81.5	82.5	84	82.4	85.3
75	82.6	82	83.1	84.5	83	85.7
76	83.2	82.6	83.6	85	83.5	86.2
77	83.8	83.2	84.2	85.6	84.1	86.8
78	84.4	83.8	84.7	86.2	84.7	87.3
79	85	84.5	85.3	86.7	85.3	87.8
80	85.6	85.1	85.9	87.3	86	88.3
81	86.3	85.8	86.6	87.9	86.6	88.9
82	87	86.5	87.2	88.5	87.3	89.4
83	87.7	87.2	87.9	89.2	87.9	90
84	88.4	87.9	88.6	89.9	88.7	90.6
85	89.1	88.7	89.4	90.5	89.4	91.2
86	89.9	89.4	90.1	91.3	90.1	91.9
87	90.6	90.2	90.8	92	90.9	92.5
88	91.4	91	91.6	92.7	91.7	93.2
89	92.2	91.8	92.4	93.5	92.5	93.9
90	93	92.6	93.2	94.3	93.3	94.6
91	93.8	93.4	94	95	94.1	95.4
92	94.7	94.2	94.8	95.8	94.9	96.1
93	95.5	95.1	95.6	96.6	95.8	96.9
94	96.3	96	96.4	97.4	96.6	97.7
95	97.2	96.9	97.3	98.3	97.5	98.4
96	98	97.8	98.1	99.1	98.4	99.3
97	98.9	98.7	99	100	99.2	100.1
98	99.8	99.6	99.9	100.8	100.1	100.9
99	100.7	100.6	100.8	101.7	101	101.7
100	101.7	101.6	101.8	102.5	101.9	102.6

Odds of living to age in South Sudan vs Tanzania

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 61% in South Sudan and 73% in Tanzania are expected to survive till at least 60 years old, 45% and 55.3% will live to 70 years or older, 21.3% and 31.1% to 80+ years, and 3.36% and 8.68% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	South Sudan			Tanzania
	Average	Male	Female	Average	Male	Female
1	93.7%	93.3%	94.2%	97.2%	97%	97.6%
2	92.6%	92.3%	93%	96.8%	96.5%	97.1%
3	91.7%	91.3%	92.1%	96.6%	96.3%	96.9%
4	90.9%	90.5%	91.4%	96.4%	96.1%	96.7%
5	90.3%	89.8%	90.8%	96.3%	96%	96.6%
6	89.7%	89.1%	90.3%	96.2%	95.9%	96.5%
7	89.2%	88.6%	89.9%	96.1%	95.8%	96.4%
8	88.8%	88.1%	89.6%	96%	95.7%	96.4%
9	88.5%	87.7%	89.3%	96%	95.6%	96.3%
10	88.2%	87.3%	89%	95.9%	95.6%	96.3%
11	87.9%	87%	88.8%	95.8%	95.5%	96.2%
12	87.7%	86.7%	88.6%	95.8%	95.4%	96.1%
13	87.4%	86.4%	88.4%	95.7%	95.4%	96.1%
14	87.2%	86.2%	88.2%	95.7%	95.3%	96%
15	87%	85.9%	88%	95.6%	95.2%	96%
16	86.7%	85.6%	87.8%	95.5%	95.1%	95.9%
17	86.4%	85.3%	87.6%	95.4%	95%	95.8%
18	86.1%	84.9%	87.4%	95.3%	94.9%	95.7%
19	85.8%	84.5%	87.1%	95.1%	94.7%	95.6%
20	85.4%	84.1%	86.8%	95%	94.5%	95.5%
21	85.1%	83.6%	86.6%	94.8%	94.3%	95.4%
22	84.7%	83.1%	86.3%	94.7%	94.1%	95.2%
23	84.2%	82.6%	86%	94.5%	93.9%	95.1%
24	83.8%	82%	85.7%	94.3%	93.7%	94.9%
25	83.4%	81.5%	85.4%	94.1%	93.5%	94.8%
26	83%	81%	85.1%	93.9%	93.2%	94.6%
27	82.5%	80.4%	84.7%	93.7%	93%	94.4%
28	82.1%	79.9%	84.4%	93.5%	92.7%	94.3%
29	81.7%	79.4%	84%	93.2%	92.4%	94.1%
30	81.2%	78.9%	83.7%	93%	92.1%	93.9%
31	80.8%	78.3%	83.3%	92.7%	91.8%	93.6%
32	80.3%	77.8%	83%	92.4%	91.5%	93.4%
33	79.9%	77.3%	82.6%	92.1%	91.1%	93.2%
34	79.4%	76.7%	82.2%	91.8%	90.8%	92.9%
35	78.9%	76.2%	81.8%	91.5%	90.4%	92.6%
36	78.5%	75.6%	81.4%	91.2%	90%	92.3%
37	78%	75%	81%	90.8%	89.6%	92%
38	77.5%	74.5%	80.6%	90.4%	89.1%	91.7%
39	77%	73.9%	80.2%	90%	88.6%	91.4%
40	76.5%	73.3%	79.7%	89.6%	88.1%	91%
41	75.9%	72.6%	79.3%	89.1%	87.6%	90.6%
42	75.3%	72%	78.8%	88.6%	87%	90.2%
43	74.8%	71.3%	78.3%	88.1%	86.4%	89.8%
44	74.2%	70.6%	77.8%	87.6%	85.8%	89.3%
45	73.6%	69.9%	77.3%	87%	85.1%	88.9%
46	72.9%	69.2%	76.7%	86.4%	84.4%	88.4%
47	72.3%	68.5%	76.2%	85.7%	83.7%	87.8%
48	71.7%	67.7%	75.7%	85.1%	82.9%	87.3%
49	71%	66.9%	75.1%	84.3%	82%	86.7%
50	70.3%	66.1%	74.5%	83.6%	81.1%	86%
51	69.5%	65.2%	73.9%	82.7%	80.1%	85.3%
52	68.7%	64.3%	73.2%	81.9%	79.1%	84.6%
53	67.9%	63.3%	72.5%	81%	78.1%	83.8%
54	67%	62.3%	71.7%	80%	76.9%	83%
55	66.1%	61.3%	70.9%	79%	75.8%	82.2%
56	65.2%	60.2%	70.1%	77.9%	74.5%	81.3%
57	64.2%	59.1%	69.3%	76.7%	73.2%	80.3%
58	63.2%	58%	68.4%	75.6%	71.9%	79.3%
59	62.1%	56.8%	67.4%	74.3%	70.4%	78.2%
60	61%	55.5%	66.4%	73%	68.9%	77.1%
61	59.7%	54.2%	65.3%	71.5%	67.3%	75.8%
62	58.5%	52.8%	64.1%	70.1%	65.6%	74.5%
63	57.1%	51.3%	62.9%	68.5%	63.8%	73.1%
64	55.6%	49.7%	61.5%	66.8%	61.9%	71.6%
65	54.1%	48.1%	60%	65%	59.9%	70.1%
66	52.4%	46.4%	58.5%	63.2%	57.9%	68.3%
67	50.7%	44.6%	56.8%	61.3%	55.8%	66.6%
68	48.9%	42.8%	55%	59.4%	53.6%	64.8%
69	47%	40.8%	53.1%	57.3%	51.4%	62.9%
70	45%	38.8%	51.1%	55.3%	49.1%	61%
71	42.9%	36.7%	49%	53.1%	46.8%	58.9%
72	40.7%	34.6%	46.8%	50.9%	44.4%	56.9%
73	38.4%	32.4%	44.4%	48.6%	41.9%	54.7%
74	36%	30.1%	41.9%	46.2%	39.3%	52.4%
75	33.6%	27.8%	39.4%	43.8%	36.7%	50.2%
76	31.2%	25.5%	36.8%	41.3%	34.1%	47.8%
77	28.7%	23.2%	34.1%	38.8%	31.5%	45.4%
78	26.2%	20.9%	31.4%	36.2%	28.9%	43%
79	23.7%	18.7%	28.7%	33.7%	26.3%	40.6%
80	21.3%	16.5%	26%	31.1%	23.7%	38.2%
81	18.9%	14.4%	23.2%	28.6%	21.2%	35.7%
82	16.5%	12.4%	20.6%	26.1%	18.8%	33.3%
83	14.3%	10.6%	18%	23.6%	16.4%	30.7%
84	12.2%	8.84%	15.5%	21.1%	14.2%	28.1%
85	10.3%	7.28%	13.2%	18.7%	12%	25.5%
86	8.5%	5.9%	11.1%	16.4%	10.1%	22.9%
87	6.93%	4.68%	9.14%	14.2%	8.34%	20.3%
88	5.55%	3.63%	7.43%	12.2%	6.78%	17.9%
89	4.36%	2.75%	5.95%	10.3%	5.43%	15.6%
90	3.36%	2.02%	4.68%	8.68%	4.27%	13.4%
91	2.53%	1.45%	3.6%	7.17%	3.29%	11.3%
92	1.87%	1%	2.72%	5.87%	2.5%	9.52%
93	1.34%	0.67%	2%	4.73%	1.85%	7.86%
94	0.94%	0.43%	1.43%	3.76%	1.35%	6.39%
95	0.64%	0.27%	0.99%	2.94%	0.96%	5.11%
96	0.43%	0.16%	0.67%	2.25%	0.66%	4%
97	0.28%	0.09%	0.43%	1.7%	0.45%	3.08%
98	0.17%	0.05%	0.27%	1.26%	0.3%	2.34%
99	0.1%	0.03%	0.17%	0.93%	0.19%	1.74%
100	0.05%	0.02%	0.1%	0.66%	0.12%	1.27%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 6.27% in the birth year in South Sudan and 2.75% in Tanzania, 0.55% vs 0.28% at age 30, 1.98% vs 1.95% at 60, and 11.3% vs 8.15% at 80.

Below is a graph displaying the probabilities of dying in South Sudan compared to Tanzania at any given age.

Table

Age	Probability of dying
	South Sudan			Tanzania
	Average	Male	Female	Average	Male	Female
0	6.27%	6.72%	5.81%	2.75%	3.05%	2.45%
1	1.17%	1.11%	1.23%	0.42%	0.41%	0.42%
2	1%	1%	0.99%	0.26%	0.27%	0.25%
3	0.86%	0.9%	0.8%	0.18%	0.19%	0.17%
4	0.73%	0.81%	0.65%	0.13%	0.14%	0.13%
5	0.63%	0.72%	0.53%	0.1%	0.11%	0.1%
6	0.54%	0.63%	0.44%	0.09%	0.09%	0.08%
7	0.46%	0.55%	0.37%	0.08%	0.08%	0.07%
8	0.39%	0.47%	0.31%	0.07%	0.07%	0.06%
9	0.34%	0.41%	0.27%	0.06%	0.07%	0.06%
10	0.3%	0.36%	0.24%	0.06%	0.07%	0.06%
11	0.27%	0.32%	0.23%	0.06%	0.07%	0.06%
12	0.26%	0.31%	0.22%	0.06%	0.07%	0.06%
13	0.26%	0.3%	0.22%	0.07%	0.08%	0.06%
14	0.27%	0.32%	0.23%	0.08%	0.09%	0.07%
15	0.29%	0.34%	0.24%	0.09%	0.1%	0.08%
16	0.32%	0.38%	0.26%	0.11%	0.12%	0.09%
17	0.35%	0.42%	0.27%	0.12%	0.14%	0.1%
18	0.38%	0.47%	0.29%	0.14%	0.17%	0.11%
19	0.42%	0.52%	0.31%	0.15%	0.19%	0.12%
20	0.45%	0.57%	0.32%	0.17%	0.2%	0.13%
21	0.47%	0.61%	0.33%	0.18%	0.22%	0.14%
22	0.49%	0.64%	0.34%	0.19%	0.23%	0.15%
23	0.5%	0.65%	0.35%	0.2%	0.24%	0.16%
24	0.51%	0.66%	0.36%	0.21%	0.25%	0.16%
25	0.51%	0.66%	0.37%	0.22%	0.26%	0.17%
26	0.52%	0.65%	0.38%	0.23%	0.27%	0.19%
27	0.53%	0.65%	0.4%	0.24%	0.29%	0.2%
28	0.53%	0.66%	0.41%	0.25%	0.3%	0.21%
29	0.54%	0.66%	0.42%	0.27%	0.32%	0.22%
30	0.55%	0.67%	0.43%	0.28%	0.33%	0.23%
31	0.56%	0.68%	0.44%	0.3%	0.35%	0.24%
32	0.57%	0.69%	0.45%	0.32%	0.37%	0.26%
33	0.58%	0.71%	0.46%	0.33%	0.39%	0.28%
34	0.59%	0.72%	0.47%	0.36%	0.42%	0.29%
35	0.6%	0.73%	0.48%	0.38%	0.45%	0.31%
36	0.61%	0.75%	0.5%	0.4%	0.47%	0.33%
37	0.63%	0.77%	0.51%	0.43%	0.51%	0.35%
38	0.66%	0.79%	0.54%	0.46%	0.54%	0.38%
39	0.69%	0.82%	0.56%	0.48%	0.57%	0.4%
40	0.72%	0.86%	0.59%	0.52%	0.61%	0.43%
41	0.75%	0.89%	0.61%	0.54%	0.64%	0.45%
42	0.77%	0.93%	0.63%	0.58%	0.69%	0.48%
43	0.8%	0.96%	0.65%	0.61%	0.73%	0.5%
44	0.82%	0.99%	0.66%	0.65%	0.78%	0.53%
45	0.84%	1.03%	0.67%	0.7%	0.84%	0.57%
46	0.87%	1.07%	0.69%	0.74%	0.89%	0.6%
47	0.9%	1.11%	0.71%	0.79%	0.95%	0.64%
48	0.95%	1.17%	0.75%	0.85%	1.02%	0.69%
49	1.01%	1.25%	0.8%	0.91%	1.1%	0.74%
50	1.07%	1.33%	0.85%	0.99%	1.19%	0.8%
51	1.14%	1.41%	0.91%	1.05%	1.26%	0.84%
52	1.22%	1.5%	0.97%	1.13%	1.35%	0.91%
53	1.29%	1.58%	1.03%	1.2%	1.44%	0.97%
54	1.35%	1.66%	1.09%	1.28%	1.54%	1.03%
55	1.42%	1.74%	1.15%	1.36%	1.64%	1.1%
56	1.5%	1.83%	1.22%	1.46%	1.75%	1.18%
57	1.59%	1.93%	1.29%	1.55%	1.87%	1.26%
58	1.7%	2.06%	1.39%	1.67%	2.01%	1.36%
59	1.83%	2.22%	1.51%	1.79%	2.16%	1.46%
60	1.98%	2.4%	1.64%	1.95%	2.36%	1.6%
61	2.16%	2.6%	1.8%	2.08%	2.51%	1.71%
62	2.36%	2.81%	1.98%	2.26%	2.74%	1.88%
63	2.56%	3.05%	2.17%	2.43%	2.94%	2.04%
64	2.79%	3.29%	2.38%	2.63%	3.17%	2.22%
65	3.02%	3.55%	2.6%	2.84%	3.43%	2.43%
66	3.28%	3.83%	2.85%	2.99%	3.63%	2.56%
67	3.57%	4.15%	3.12%	3.18%	3.87%	2.72%
68	3.9%	4.51%	3.43%	3.4%	4.15%	2.9%
69	4.27%	4.92%	3.78%	3.62%	4.44%	3.08%
70	4.68%	5.37%	4.17%	3.94%	4.83%	3.36%
71	5.14%	5.87%	4.59%	4.16%	5.13%	3.51%
72	5.62%	6.42%	5.04%	4.54%	5.61%	3.83%
73	6.14%	7%	5.53%	4.88%	6.05%	4.08%
74	6.69%	7.62%	6.06%	5.26%	6.56%	4.37%
75	7.3%	8.28%	6.62%	5.69%	7.11%	4.69%
76	7.95%	9.01%	7.24%	6.1%	7.69%	4.97%
77	8.67%	9.8%	7.93%	6.51%	8.3%	5.26%
78	9.47%	10.7%	8.7%	7.07%	9.07%	5.67%
79	10.4%	11.7%	9.55%	7.53%	9.77%	5.97%
80	11.3%	12.7%	10.5%	8.15%	10.7%	6.42%
81	12.4%	13.8%	11.5%	8.65%	11.4%	6.81%
82	13.5%	15%	12.6%	9.65%	12.6%	7.71%
83	14.7%	16.3%	13.7%	10.5%	13.7%	8.48%
84	15.9%	17.6%	14.9%	11.5%	15%	9.39%
85	17.2%	19%	16.1%	12.3%	16.1%	10.2%
86	18.5%	20.6%	17.4%	13.3%	17.4%	11.1%
87	19.9%	22.4%	18.6%	14.2%	18.6%	12%
88	21.4%	24.3%	20%	15.2%	20%	13%
89	23%	26.4%	21.4%	16.1%	21.3%	13.9%
90	24.6%	28.6%	22.9%	17.4%	22.9%	15.4%
91	26.3%	30.8%	24.6%	18.1%	24.1%	16%
92	28%	33%	26.4%	19.4%	25.8%	17.5%
93	29.8%	35.2%	28.4%	20.6%	27.3%	18.7%
94	31.7%	37.5%	30.6%	21.8%	29%	20.1%
95	33.5%	39.8%	32.8%	23.3%	30.8%	21.6%
96	35.7%	41.9%	35%	24.5%	32.4%	23%
97	38.7%	43.8%	37.1%	25.7%	33.9%	24.3%
98	42.1%	45.5%	39.1%	26.8%	35.4%	25.5%
99	44.2%	47.1%	41%	28.3%	37.1%	27.1%
100	47.2%	49.1%	43.1%	29.4%	38.6%	28.4%

Death rate by age in South Sudan compared to Tanzania

In South Sudan, the most common age of death is 0, compared to 0 in Tanzania. The median age of death is 67.4 in South Sudan and 72.4 in Tanzania — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	South Sudan			Tanzania
	Total	Male	Female	Total	Male	Female
0	6,268	6,715	5,811	2,753	3,049	2,450
1	1,094	1,033	1,158	404	402	406
2	924	923	924	251.9	256.7	247
3	784	826	741	174.5	180.3	168.6
4	667	735	598	127.9	133.3	122.4
5	568	647	485	98.4	103	93.7
6	482	564	397	83.2	88.4	77.9
7	409	485	330	73.6	79.1	67.8
8	348	415	278.6	65.9	71.4	60.3
9	299.8	356	241.3	61.1	66.2	55.8
10	264.5	312	215.6	58.8	64	53.6
11	241.6	281.4	199.9	59	64.8	53
12	229.7	264.9	192.9	61.3	67.5	55
13	228.5	262	193.4	66.4	73.1	59.7
14	236.7	271.8	200.1	74.9	83.2	66.4
15	253	292.7	211.5	86.8	97.5	76
16	275.3	323	225.8	101	115.8	85.8
17	301	359	240.8	116.6	137	95.8
18	329	400	254.9	133.3	160	106.1
19	356	442	266.8	145.8	176	115.1
20	381	480	276.5	157.6	190.8	123.9
21	400	511	284.6	167.4	204.1	130.3
22	414	530	292	177.9	216.4	138.9
23	422	538	299.8	187.6	227.2	147.4
24	426	538	308	196.8	236.7	156.4
25	429	535	317	206.2	246.7	165.2
26	431	529	327	216	256.1	175.3
27	434	526	336	226.9	267.4	185.7
28	438	524	345	238	279.4	195.7
29	442	526	353	250.1	292.4	207
30	447	529	361	264.2	309	219
31	452	535	367	275.1	322	227.9
32	457	540	373	292.4	341	243.4
33	462	546	379	309	359	257.1
34	467	551	385	327	381	272.3
35	474	557	393	348	405	290.7
36	482	565	403	367	427	307
37	494	576	417	388	453	324
38	510	591	433	412	480	345
39	528	609	451	435	507	364
40	547	629	469	463	540	387
41	566	650	485	483	565	405
42	582	669	498	514	601	430
43	595	686	507	541	633	452
44	606	702	514	571	670	476
45	618	718	520	607	713	506
46	632	738	529	640	752	533
47	653	763	545	680	798	565
48	680	795	567	725	849	603
49	715	833	598	770	900	641
50	754	876	634	826	963	688
51	796	920	673	865	1,007	719
52	836	961	713	923	1,070	770
53	873	999	749	971	1,123	810
54	907	1,033	784	1,023	1,181	856
55	940	1,066	817	1,077	1,241	903
56	976	1,102	853	1,134	1,301	956
57	1,019	1,144	897	1,192	1,366	1,010
58	1,071	1,196	950	1,262	1,443	1,077
59	1,135	1,259	1,015	1,331	1,520	1,143
60	1,210	1,330	1,092	1,424	1,623	1,235
61	1,292	1,407	1,178	1,486	1,691	1,300
62	1,377	1,486	1,270	1,584	1,794	1,403
63	1,463	1,563	1,366	1,666	1,878	1,494
64	1,549	1,636	1,464	1,754	1,965	1,594
65	1,635	1,707	1,564	1,849	2,053	1,704
66	1,722	1,778	1,667	1,890	2,099	1,748
67	1,812	1,851	1,775	1,949	2,160	1,810
68	1,908	1,928	1,890	2,016	2,225	1,880
69	2,007	2,008	2,009	2,074	2,282	1,938
70	2,107	2,086	2,130	2,177	2,372	2,046
71	2,202	2,158	2,248	2,208	2,399	2,071
72	2,287	2,219	2,359	2,312	2,490	2,176
73	2,357	2,264	2,457	2,370	2,534	2,231
74	2,412	2,292	2,540	2,432	2,579	2,292
75	2,452	2,303	2,609	2,490	2,614	2,351
76	2,478	2,297	2,665	2,516	2,625	2,375
77	2,486	2,275	2,706	2,525	2,615	2,391
78	2,480	2,237	2,734	2,561	2,620	2,440
79	2,456	2,179	2,741	2,536	2,568	2,424
80	2,409	2,099	2,724	2,537	2,529	2,450
81	2,334	1,995	2,675	2,475	2,414	2,432
82	2,229	1,866	2,590	2,522	2,367	2,568
83	2,095	1,717	2,468	2,478	2,247	2,604
84	1,936	1,555	2,311	2,428	2,120	2,641
85	1,760	1,386	2,126	2,310	1,935	2,606
86	1,572	1,215	1,920	2,179	1,756	2,543
87	1,379	1,047	1,704	2,017	1,555	2,439
88	1,187	883	1,485	1,854	1,358	2,329
89	1,001	726	1,272	1,665	1,157	2,168
90	826	579	1,071	1,512	978	2,057
91	666	446	886	1,295	792	1,816
92	523	330	718	1,141	645	1,664
93	401	236	568	973	507	1,470
94	298.6	162.8	438	821	391	1,282
95	216	107.8	326	684	294.4	1,104
96	153	68.4	233.8	552	214.4	919
97	106.6	41.5	161.3	437	151.9	748
98	71.1	24.3	106.9	339	104.8	595
99	43.2	13.7	68.3	262	71	472
100	0	0	0	137.4	0.37	291.4

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about South Sudan and Tanzania demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• South Sudan vs Tanzania: Comparing Facts

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size