Life Expectancy in Malawi vs South Sudan (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 Malawi vs South Sudan: 72 years vs 69.1 at 30, 79.1 vs 78 at 65, 86.5 vs 85.6 at 80 — significantly higher than the 67.7 vs 57.9 years calculated at birth.

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

Table

Current age, years	Total life expectancy, years
	Malawi			South Sudan
	Average	Male	Female	Average	Male	Female
0	67.7	64.4	71	57.9	54.9	60.9
1	69.7	66.6	72.7	61.7	58.8	64.6
2	70	66.8	73	62.4	59.4	65.4
3	70.1	67	73.2	63	60	66
4	70.3	67.1	73.3	63.5	60.5	66.5
5	70.4	67.2	73.4	64	61	66.9
6	70.4	67.3	73.4	64.3	61.4	67.3
7	70.5	67.4	73.5	64.7	61.7	67.5
8	70.5	67.4	73.5	64.9	62	67.8
9	70.6	67.5	73.6	65.1	62.3	67.9
10	70.6	67.5	73.6	65.3	62.5	68.1
11	70.7	67.6	73.6	65.5	62.7	68.2
12	70.7	67.6	73.7	65.6	62.9	68.4
13	70.7	67.6	73.7	65.8	63	68.5
14	70.8	67.7	73.7	65.9	63.2	68.6
15	70.8	67.7	73.8	66.1	63.3	68.7
16	70.9	67.8	73.8	66.2	63.5	68.9
17	70.9	67.8	73.9	66.4	63.7	69
18	71	67.9	73.9	66.5	63.9	69.1
19	71	68	74	66.7	64.1	69.3
20	71.1	68.1	74	66.9	64.3	69.4
21	71.2	68.2	74.1	67.1	64.6	69.6
22	71.3	68.3	74.1	67.3	64.8	69.8
23	71.4	68.4	74.2	67.6	65.1	69.9
24	71.4	68.5	74.2	67.8	65.4	70.1
25	71.5	68.6	74.3	68	65.6	70.2
26	71.6	68.7	74.4	68.2	65.9	70.4
27	71.7	68.8	74.4	68.4	66.2	70.6
28	71.8	69	74.5	68.7	66.4	70.7
29	71.9	69.1	74.6	68.9	66.7	70.9
30	72	69.2	74.6	69.1	66.9	71.1
31	72.1	69.3	74.7	69.3	67.2	71.3
32	72.2	69.4	74.8	69.5	67.4	71.4
33	72.3	69.6	74.9	69.7	67.7	71.6
34	72.4	69.7	74.9	69.9	67.9	71.8
35	72.5	69.9	75	70.1	68.1	72
36	72.6	70	75.1	70.4	68.4	72.2
37	72.8	70.2	75.2	70.6	68.6	72.3
38	72.9	70.3	75.3	70.8	68.9	72.5
39	73	70.5	75.4	71	69.1	72.7
40	73.2	70.6	75.5	71.2	69.3	72.9
41	73.3	70.8	75.6	71.4	69.6	73.1
42	73.5	71	75.7	71.6	69.9	73.3
43	73.6	71.2	75.9	71.9	70.1	73.5
44	73.8	71.4	76	72.1	70.4	73.7
45	73.9	71.6	76.1	72.3	70.6	73.8
46	74.1	71.8	76.2	72.6	70.9	74
47	74.3	72	76.4	72.8	71.2	74.2
48	74.5	72.2	76.5	73	71.4	74.4
49	74.7	72.5	76.7	73.3	71.7	74.6
50	74.9	72.7	76.8	73.5	72	74.8
51	75.1	73	77	73.7	72.3	75
52	75.3	73.2	77.2	74	72.6	75.2
53	75.6	73.5	77.4	74.3	72.9	75.5
54	75.8	73.8	77.6	74.5	73.2	75.7
55	76.1	74.1	77.8	74.8	73.5	75.9
56	76.3	74.4	78	75.1	73.8	76.2
57	76.6	74.7	78.2	75.4	74.1	76.4
58	76.9	75	78.4	75.7	74.5	76.7
59	77.2	75.4	78.6	76	74.8	76.9
60	77.4	75.7	78.9	76.3	75.1	77.2
61	77.8	76.1	79.1	76.6	75.5	77.5
62	78.1	76.5	79.4	76.9	75.9	77.8
63	78.4	76.9	79.7	77.3	76.3	78.1
64	78.8	77.3	80	77.6	76.7	78.4
65	79.1	77.7	80.3	78	77.1	78.7
66	79.5	78.1	80.7	78.4	77.5	79.1
67	79.9	78.6	81	78.8	77.9	79.5
68	80.3	79	81.3	79.2	78.4	79.8
69	80.7	79.5	81.7	79.6	78.9	80.2
70	81.2	80	82.1	80.1	79.3	80.7
71	81.6	80.5	82.5	80.6	79.8	81.1
72	82.1	81	82.9	81.1	80.4	81.6
73	82.6	81.5	83.4	81.6	80.9	82
74	83.1	82.1	83.8	82.1	81.5	82.5
75	83.6	82.6	84.3	82.6	82	83.1
76	84.2	83.2	84.8	83.2	82.6	83.6
77	84.7	83.8	85.3	83.8	83.2	84.2
78	85.3	84.4	85.9	84.4	83.8	84.7
79	85.9	85.1	86.4	85	84.5	85.3
80	86.5	85.7	87	85.6	85.1	85.9
81	87.1	86.4	87.6	86.3	85.8	86.6
82	87.8	87.1	88.2	87	86.5	87.2
83	88.4	87.8	88.8	87.7	87.2	87.9
84	89.1	88.5	89.4	88.4	87.9	88.6
85	89.8	89.3	90.1	89.1	88.7	89.4
86	90.5	90	90.8	89.9	89.4	90.1
87	91.3	90.8	91.5	90.6	90.2	90.8
88	92	91.6	92.2	91.4	91	91.6
89	92.8	92.4	93	92.2	91.8	92.4
90	93.6	93.2	93.7	93	92.6	93.2
91	94.4	94.1	94.5	93.8	93.4	94
92	95.2	94.9	95.3	94.7	94.2	94.8
93	96	95.8	96.1	95.5	95.1	95.6
94	96.9	96.6	96.9	96.3	96	96.4
95	97.7	97.5	97.8	97.2	96.9	97.3
96	98.6	98.4	98.6	98	97.8	98.1
97	99.4	99.2	99.5	98.9	98.7	99
98	100.3	100.1	100.4	99.8	99.6	99.9
99	101.2	101	101.3	100.7	100.6	100.8
100	102.1	101.9	102.2	101.7	101.6	101.8

Odds of living to age in Malawi vs South Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 75.1% in Malawi and 61% in South Sudan are expected to survive till at least 60 years old, 57.3% and 45% will live to 70 years or older, 30.3% and 21.3% to 80+ years, and 6.69% and 3.36% 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
	Malawi			South Sudan
	Average	Male	Female	Average	Male	Female
1	97.2%	96.8%	97.6%	93.7%	93.3%	94.2%
2	96.8%	96.4%	97.2%	92.6%	92.3%	93%
3	96.6%	96.1%	97%	91.7%	91.3%	92.1%
4	96.4%	96%	96.8%	90.9%	90.5%	91.4%
5	96.3%	95.8%	96.7%	90.3%	89.8%	90.8%
6	96.2%	95.7%	96.6%	89.7%	89.1%	90.3%
7	96.1%	95.6%	96.5%	89.2%	88.6%	89.9%
8	96%	95.5%	96.5%	88.8%	88.1%	89.6%
9	95.9%	95.4%	96.4%	88.5%	87.7%	89.3%
10	95.9%	95.4%	96.3%	88.2%	87.3%	89%
11	95.8%	95.3%	96.3%	87.9%	87%	88.8%
12	95.7%	95.2%	96.2%	87.7%	86.7%	88.6%
13	95.7%	95.2%	96.2%	87.4%	86.4%	88.4%
14	95.6%	95.1%	96.1%	87.2%	86.2%	88.2%
15	95.5%	95%	96.1%	87%	85.9%	88%
16	95.5%	94.9%	96%	86.7%	85.6%	87.8%
17	95.4%	94.8%	95.9%	86.4%	85.3%	87.6%
18	95.2%	94.6%	95.9%	86.1%	84.9%	87.4%
19	95.1%	94.5%	95.8%	85.8%	84.5%	87.1%
20	95%	94.3%	95.7%	85.4%	84.1%	86.8%
21	94.8%	94.1%	95.6%	85.1%	83.6%	86.6%
22	94.7%	93.9%	95.5%	84.7%	83.1%	86.3%
23	94.5%	93.7%	95.4%	84.2%	82.6%	86%
24	94.4%	93.5%	95.2%	83.8%	82%	85.7%
25	94.2%	93.2%	95.1%	83.4%	81.5%	85.4%
26	94%	93%	95%	83%	81%	85.1%
27	93.8%	92.7%	94.9%	82.5%	80.4%	84.7%
28	93.6%	92.5%	94.7%	82.1%	79.9%	84.4%
29	93.4%	92.2%	94.6%	81.7%	79.4%	84%
30	93.2%	91.9%	94.5%	81.2%	78.9%	83.7%
31	93%	91.6%	94.3%	80.8%	78.3%	83.3%
32	92.7%	91.3%	94.1%	80.3%	77.8%	83%
33	92.5%	91%	94%	79.9%	77.3%	82.6%
34	92.2%	90.7%	93.8%	79.4%	76.7%	82.2%
35	91.9%	90.3%	93.6%	78.9%	76.2%	81.8%
36	91.7%	89.9%	93.4%	78.5%	75.6%	81.4%
37	91.3%	89.5%	93.1%	78%	75%	81%
38	91%	89.1%	92.9%	77.5%	74.5%	80.6%
39	90.7%	88.6%	92.7%	77%	73.9%	80.2%
40	90.3%	88.2%	92.4%	76.5%	73.3%	79.7%
41	89.9%	87.6%	92.1%	75.9%	72.6%	79.3%
42	89.5%	87.1%	91.8%	75.3%	72%	78.8%
43	89.1%	86.5%	91.5%	74.8%	71.3%	78.3%
44	88.6%	85.9%	91.1%	74.2%	70.6%	77.8%
45	88.1%	85.3%	90.7%	73.6%	69.9%	77.3%
46	87.5%	84.6%	90.3%	72.9%	69.2%	76.7%
47	87%	83.9%	89.9%	72.3%	68.5%	76.2%
48	86.3%	83.1%	89.5%	71.7%	67.7%	75.7%
49	85.7%	82.3%	89%	71%	66.9%	75.1%
50	85%	81.4%	88.5%	70.3%	66.1%	74.5%
51	84.2%	80.5%	87.9%	69.5%	65.2%	73.9%
52	83.4%	79.5%	87.3%	68.7%	64.3%	73.2%
53	82.5%	78.5%	86.6%	67.9%	63.3%	72.5%
54	81.6%	77.4%	86%	67%	62.3%	71.7%
55	80.7%	76.2%	85.2%	66.1%	61.3%	70.9%
56	79.7%	75%	84.4%	65.2%	60.2%	70.1%
57	78.6%	73.7%	83.6%	64.2%	59.1%	69.3%
58	77.5%	72.3%	82.7%	63.2%	58%	68.4%
59	76.4%	70.9%	81.7%	62.1%	56.8%	67.4%
60	75.1%	69.4%	80.7%	61%	55.5%	66.4%
61	73.8%	67.7%	79.6%	59.7%	54.2%	65.3%
62	72.4%	66.1%	78.4%	58.5%	52.8%	64.1%
63	70.8%	64.3%	77.1%	57.1%	51.3%	62.9%
64	69.2%	62.4%	75.7%	55.6%	49.7%	61.5%
65	67.5%	60.4%	74.2%	54.1%	48.1%	60%
66	65.7%	58.3%	72.5%	52.4%	46.4%	58.5%
67	63.7%	56.2%	70.8%	50.7%	44.6%	56.8%
68	61.7%	54%	69%	48.9%	42.8%	55%
69	59.6%	51.7%	67.1%	47%	40.8%	53.1%
70	57.3%	49.3%	65%	45%	38.8%	51.1%
71	55%	46.8%	62.8%	42.9%	36.7%	49%
72	52.5%	44.2%	60.5%	40.7%	34.6%	46.8%
73	50%	41.6%	58.1%	38.4%	32.4%	44.4%
74	47.3%	38.9%	55.5%	36%	30.1%	41.9%
75	44.6%	36.2%	52.8%	33.6%	27.8%	39.4%
76	41.8%	33.4%	49.9%	31.2%	25.5%	36.8%
77	38.9%	30.7%	47%	28.7%	23.2%	34.1%
78	36.1%	28%	44%	26.2%	20.9%	31.4%
79	33.2%	25.2%	41%	23.7%	18.7%	28.7%
80	30.3%	22.6%	37.8%	21.3%	16.5%	26%
81	27.4%	20%	34.7%	18.9%	14.4%	23.2%
82	24.7%	17.6%	31.6%	16.5%	12.4%	20.6%
83	21.9%	15.2%	28.5%	14.3%	10.6%	18%
84	19.2%	13%	25.4%	12.2%	8.84%	15.5%
85	16.7%	11%	22.3%	10.3%	7.28%	13.2%
86	14.3%	9.14%	19.4%	8.5%	5.9%	11.1%
87	12.1%	7.49%	16.6%	6.93%	4.68%	9.14%
88	10.1%	6.05%	14.1%	5.55%	3.63%	7.43%
89	8.26%	4.81%	11.7%	4.36%	2.75%	5.95%
90	6.69%	3.76%	9.62%	3.36%	2.02%	4.68%
91	5.31%	2.88%	7.74%	2.53%	1.45%	3.6%
92	4.16%	2.18%	6.15%	1.87%	1%	2.72%
93	3.19%	1.61%	4.78%	1.34%	0.67%	2%
94	2.4%	1.17%	3.64%	0.94%	0.43%	1.43%
95	1.77%	0.83%	2.72%	0.64%	0.27%	0.99%
96	1.27%	0.57%	1.98%	0.43%	0.16%	0.67%
97	0.89%	0.39%	1.41%	0.28%	0.09%	0.43%
98	0.61%	0.26%	0.98%	0.17%	0.05%	0.27%
99	0.41%	0.17%	0.67%	0.1%	0.03%	0.17%
100	0.27%	0.11%	0.44%	0.05%	0.02%	0.1%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 2.82% in the birth year in Malawi and 6.27% in South Sudan, 0.24% vs 0.55% at age 30, 1.79% vs 1.98% at 60, and 9.48% vs 11.3% at 80.

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

Table

Age	Probability of dying
	Malawi			South Sudan
	Average	Male	Female	Average	Male	Female
0	2.82%	3.18%	2.44%	6.27%	6.72%	5.81%
1	0.4%	0.42%	0.37%	1.17%	1.11%	1.23%
2	0.25%	0.27%	0.23%	1%	1%	0.99%
3	0.18%	0.19%	0.16%	0.86%	0.9%	0.8%
4	0.13%	0.15%	0.12%	0.73%	0.81%	0.65%
5	0.11%	0.12%	0.1%	0.63%	0.72%	0.53%
6	0.09%	0.1%	0.08%	0.54%	0.63%	0.44%
7	0.08%	0.09%	0.07%	0.46%	0.55%	0.37%
8	0.07%	0.08%	0.06%	0.39%	0.47%	0.31%
9	0.07%	0.08%	0.06%	0.34%	0.41%	0.27%
10	0.06%	0.07%	0.05%	0.3%	0.36%	0.24%
11	0.06%	0.07%	0.05%	0.27%	0.32%	0.23%
12	0.06%	0.07%	0.05%	0.26%	0.31%	0.22%
13	0.07%	0.08%	0.06%	0.26%	0.3%	0.22%
14	0.08%	0.09%	0.06%	0.27%	0.32%	0.23%
15	0.09%	0.11%	0.07%	0.29%	0.34%	0.24%
16	0.1%	0.13%	0.08%	0.32%	0.38%	0.26%
17	0.12%	0.15%	0.08%	0.35%	0.42%	0.27%
18	0.13%	0.17%	0.09%	0.38%	0.47%	0.29%
19	0.14%	0.19%	0.1%	0.42%	0.52%	0.31%
20	0.15%	0.2%	0.1%	0.45%	0.57%	0.32%
21	0.16%	0.22%	0.11%	0.47%	0.61%	0.33%
22	0.17%	0.23%	0.11%	0.49%	0.64%	0.34%
23	0.18%	0.24%	0.12%	0.5%	0.65%	0.35%
24	0.19%	0.25%	0.12%	0.51%	0.66%	0.36%
25	0.19%	0.26%	0.13%	0.51%	0.66%	0.37%
26	0.2%	0.27%	0.14%	0.52%	0.65%	0.38%
27	0.21%	0.28%	0.14%	0.53%	0.65%	0.4%
28	0.22%	0.29%	0.15%	0.53%	0.66%	0.41%
29	0.23%	0.3%	0.16%	0.54%	0.66%	0.42%
30	0.24%	0.32%	0.17%	0.55%	0.67%	0.43%
31	0.25%	0.33%	0.17%	0.56%	0.68%	0.44%
32	0.27%	0.36%	0.19%	0.57%	0.69%	0.45%
33	0.28%	0.38%	0.2%	0.58%	0.71%	0.46%
34	0.3%	0.4%	0.21%	0.59%	0.72%	0.47%
35	0.32%	0.42%	0.22%	0.6%	0.73%	0.48%
36	0.34%	0.45%	0.24%	0.61%	0.75%	0.5%
37	0.36%	0.48%	0.25%	0.63%	0.77%	0.51%
38	0.38%	0.51%	0.27%	0.66%	0.79%	0.54%
39	0.41%	0.54%	0.29%	0.69%	0.82%	0.56%
40	0.44%	0.58%	0.31%	0.72%	0.86%	0.59%
41	0.46%	0.61%	0.33%	0.75%	0.89%	0.61%
42	0.5%	0.66%	0.36%	0.77%	0.93%	0.63%
43	0.53%	0.7%	0.38%	0.8%	0.96%	0.65%
44	0.57%	0.75%	0.41%	0.82%	0.99%	0.66%
45	0.62%	0.8%	0.44%	0.84%	1.03%	0.67%
46	0.66%	0.85%	0.47%	0.87%	1.07%	0.69%
47	0.71%	0.92%	0.5%	0.9%	1.11%	0.71%
48	0.77%	0.99%	0.54%	0.95%	1.17%	0.75%
49	0.83%	1.06%	0.59%	1.01%	1.25%	0.8%
50	0.9%	1.15%	0.64%	1.07%	1.33%	0.85%
51	0.95%	1.22%	0.68%	1.14%	1.41%	0.91%
52	1.03%	1.32%	0.75%	1.22%	1.5%	0.97%
53	1.09%	1.41%	0.8%	1.29%	1.58%	1.03%
54	1.16%	1.5%	0.86%	1.35%	1.66%	1.09%
55	1.23%	1.61%	0.92%	1.42%	1.74%	1.15%
56	1.32%	1.72%	0.99%	1.5%	1.83%	1.22%
57	1.4%	1.84%	1.07%	1.59%	1.93%	1.29%
58	1.51%	1.99%	1.17%	1.7%	2.06%	1.39%
59	1.63%	2.14%	1.26%	1.83%	2.22%	1.51%
60	1.79%	2.34%	1.4%	1.98%	2.4%	1.64%
61	1.92%	2.5%	1.5%	2.16%	2.6%	1.8%
62	2.11%	2.72%	1.67%	2.36%	2.81%	1.98%
63	2.29%	2.94%	1.82%	2.56%	3.05%	2.17%
64	2.5%	3.17%	1.99%	2.79%	3.29%	2.38%
65	2.73%	3.43%	2.19%	3.02%	3.55%	2.6%
66	2.93%	3.67%	2.35%	3.28%	3.83%	2.85%
67	3.18%	3.95%	2.56%	3.57%	4.15%	3.12%
68	3.46%	4.28%	2.8%	3.9%	4.51%	3.43%
69	3.74%	4.62%	3.05%	4.27%	4.92%	3.78%
70	4.14%	5.06%	3.41%	4.68%	5.37%	4.17%
71	4.42%	5.41%	3.65%	5.14%	5.87%	4.59%
72	4.89%	5.95%	4.08%	5.62%	6.42%	5.04%
73	5.3%	6.45%	4.45%	6.14%	7%	5.53%
74	5.78%	7.01%	4.89%	6.69%	7.62%	6.06%
75	6.28%	7.62%	5.37%	7.3%	8.28%	6.62%
76	6.79%	8.25%	5.83%	7.95%	9.01%	7.24%
77	7.35%	8.91%	6.35%	8.67%	9.8%	7.93%
78	8.05%	9.73%	6.99%	9.47%	10.7%	8.7%
79	8.69%	10.5%	7.58%	10.4%	11.7%	9.55%
80	9.48%	11.4%	8.31%	11.3%	12.7%	10.5%
81	10.1%	12.2%	8.9%	12.4%	13.8%	11.5%
82	11.2%	13.4%	9.97%	13.5%	15%	12.6%
83	12.2%	14.4%	10.9%	14.7%	16.3%	13.7%
84	13.3%	15.7%	12%	15.9%	17.6%	14.9%
85	14.4%	16.8%	13.1%	17.2%	19%	16.1%
86	15.5%	18%	14.2%	18.5%	20.6%	17.4%
87	16.6%	19.2%	15.4%	19.9%	22.4%	18.6%
88	17.9%	20.5%	16.7%	21.4%	24.3%	20%
89	19.1%	21.8%	17.9%	23%	26.4%	21.4%
90	20.6%	23.3%	19.5%	24.6%	28.6%	22.9%
91	21.7%	24.4%	20.6%	26.3%	30.8%	24.6%
92	23.3%	26%	22.3%	28%	33%	26.4%
93	24.8%	27.5%	23.8%	29.8%	35.2%	28.4%
94	26.4%	29.1%	25.4%	31.7%	37.5%	30.6%
95	28.1%	30.8%	27.2%	33.5%	39.8%	32.8%
96	29.7%	32.3%	28.9%	35.7%	41.9%	35%
97	31.2%	33.7%	30.4%	38.7%	43.8%	37.1%
98	32.7%	35.1%	32%	42.1%	45.5%	39.1%
99	34.5%	36.8%	33.8%	44.2%	47.1%	41%
100	35.9%	38.2%	35.3%	47.2%	49.1%	43.1%

Death rate by age in Malawi compared to South Sudan

In Malawi, the most common age of death is 78, compared to 0 in South Sudan. The median age of death is 73 in Malawi and 67.4 in South Sudan — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Malawi			South Sudan
	Total	Male	Female	Total	Male	Female
0	2,815	3,184	2,444	6,268	6,715	5,811
1	386	411	362	1,094	1,033	1,158
2	241.7	262.2	220.9	924	923	924
3	171.1	186.7	155.2	784	826	741
4	128.8	140.6	116.8	667	735	598
5	101.8	111	92.4	568	647	485
6	87.3	96.4	78.1	482	564	397
7	77.6	86.8	68.2	409	485	330
8	69.5	78.3	60.6	348	415	278.6
9	63.9	72.3	55.4	299.8	356	241.3
10	60.8	69.2	52.3	264.5	312	215.6
11	60	69.1	50.9	241.6	281.4	199.9
12	61.5	71.2	51.8	229.7	264.9	192.9
13	65.7	76.4	54.9	228.5	262	193.4
14	73	86.3	59.7	236.7	271.8	200.1
15	83.5	100.3	66.7	253	292.7	211.5
16	96.6	118.9	74.3	275.3	323	225.8
17	110.5	139.8	81.3	301	359	240.8
18	125.5	162.7	88.5	329	400	254.9
19	136.1	178.1	94.3	356	442	266.8
20	145.7	192	99.5	381	480	276.5
21	153.6	204.1	103.3	400	511	284.6
22	161.4	215.1	108	414	530	292
23	168.5	224.5	112.8	422	538	299.8
24	175.2	232.6	118	426	538	308
25	181.8	240.9	122.9	429	535	317
26	188.8	248.9	128.8	431	529	327
27	196.7	258.5	135.2	434	526	336
28	205.1	269.1	141.9	438	524	345
29	214.2	280.7	149.1	442	526	353
30	225.4	295.1	157.8	447	529	361
31	233.8	307	163.7	452	535	367
32	247.8	325	175	457	540	373
33	260.6	342	185.1	462	546	379
34	275.2	361	196.3	467	551	385
35	291.9	383	209.7	474	557	393
36	308	404	222.8	482	565	403
37	326	429	236.1	494	576	417
38	347	455	253.6	510	591	433
39	368	481	269.4	528	609	451
40	394	513	289.7	547	629	469
41	414	537	304	566	650	485
42	445	573	329	582	669	498
43	473	604	348	595	686	507
44	504	640	370	606	702	514
45	542	683	397	618	718	520
46	577	723	422	632	738	529
47	618	769	452	653	763	545
48	664	820	488	680	795	567
49	710	873	523	715	833	598
50	766	936	569	754	876	634
51	803	982	598	796	920	673
52	858	1,047	651	836	961	713
53	901	1,103	690	873	999	749
54	949	1,163	738	907	1,033	784
55	996	1,225	785	940	1,066	817
56	1,048	1,289	840	976	1,102	853
57	1,103	1,356	894	1,019	1,144	897
58	1,173	1,436	965	1,071	1,196	950
59	1,243	1,516	1,032	1,135	1,259	1,015
60	1,345	1,621	1,132	1,210	1,330	1,092
61	1,414	1,692	1,195	1,292	1,407	1,178
62	1,526	1,798	1,307	1,377	1,486	1,270
63	1,624	1,886	1,401	1,463	1,563	1,366
64	1,728	1,976	1,506	1,549	1,636	1,464
65	1,840	2,069	1,622	1,635	1,707	1,564
66	1,922	2,138	1,705	1,722	1,778	1,667
67	2,025	2,222	1,813	1,812	1,851	1,775
68	2,134	2,308	1,935	1,908	1,928	1,890
69	2,231	2,384	2,045	2,007	2,008	2,009
70	2,373	2,491	2,218	2,107	2,086	2,130
71	2,432	2,532	2,296	2,202	2,158	2,248
72	2,568	2,633	2,469	2,287	2,219	2,359
73	2,650	2,684	2,586	2,357	2,264	2,457
74	2,733	2,728	2,710	2,412	2,292	2,540
75	2,799	2,759	2,831	2,452	2,303	2,609
76	2,835	2,758	2,912	2,478	2,297	2,665
77	2,864	2,735	2,984	2,486	2,275	2,706
78	2,904	2,719	3,078	2,480	2,237	2,734
79	2,882	2,645	3,105	2,456	2,179	2,741
80	2,873	2,583	3,146	2,409	2,099	2,724
81	2,772	2,436	3,090	2,334	1,995	2,675
82	2,760	2,349	3,152	2,229	1,866	2,590
83	2,665	2,198	3,113	2,095	1,717	2,468
84	2,558	2,042	3,053	1,936	1,555	2,311
85	2,392	1,842	2,924	1,760	1,386	2,126
86	2,210	1,646	2,757	1,572	1,215	1,920
87	2,005	1,440	2,556	1,379	1,047	1,704
88	1,799	1,243	2,344	1,187	883	1,485
89	1,576	1,048	2,095	1,001	726	1,272
90	1,381	878	1,879	826	579	1,071
91	1,150	704	1,593	666	446	886
92	970	568	1,370	523	330	718
93	790	444	1,137	401	236	568
94	632	340	926	298.6	162.8	438
95	497	255.2	740	216	107.8	326
96	377	185.2	570	153	68.4	233.8
97	278.4	131	428	106.6	41.5	161.3
98	200.4	90.3	312	71.1	24.3	106.9
99	142.3	61.4	224.8	43.2	13.7	68.3
100	33.4	0	68.7	0	0	0

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 Malawi and South Sudan 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
• Malawi vs South Sudan: Data-driven Comparison

By topic vs comparisons:

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