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

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 Morocco vs South Sudan: 77.7 years vs 69.1 at 30, 81.2 vs 78 at 65, 87 vs 85.6 at 80 — significantly higher than the 75.9 vs 58 years calculated at birth.

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

Table

Current age, years	Total life expectancy, years
	Morocco			South Sudan
	Average	Male	Female	Average	Male	Female
0	75.9	73.7	78.1	58	55	61
1	76.8	74.8	79	61.8	58.9	64.7
2	76.9	74.8	79.1	62.5	59.5	65.5
3	77	74.9	79.1	63.1	60.1	66.1
4	77	74.9	79.2	63.6	60.6	66.6
5	77	75	79.2	64	61.1	67
6	77.1	75	79.2	64.4	61.5	67.3
7	77.1	75	79.3	64.7	61.8	67.6
8	77.1	75	79.3	65	62.1	67.8
9	77.1	75	79.3	65.2	62.4	68
10	77.1	75.1	79.3	65.4	62.6	68.2
11	77.2	75.1	79.3	65.5	62.8	68.3
12	77.2	75.1	79.3	65.7	62.9	68.4
13	77.2	75.1	79.4	65.8	63.1	68.5
14	77.2	75.1	79.4	66	63.2	68.7
15	77.2	75.2	79.4	66.1	63.4	68.8
16	77.2	75.2	79.4	66.3	63.5	68.9
17	77.3	75.2	79.4	66.4	63.7	69
18	77.3	75.3	79.4	66.6	63.9	69.2
19	77.3	75.3	79.5	66.8	64.1	69.3
20	77.4	75.3	79.5	67	64.4	69.5
21	77.4	75.4	79.5	67.2	64.6	69.6
22	77.4	75.4	79.6	67.4	64.9	69.8
23	77.5	75.5	79.6	67.6	65.1	70
24	77.5	75.5	79.6	67.8	65.4	70.1
25	77.5	75.5	79.6	68	65.7	70.3
26	77.6	75.6	79.7	68.3	65.9	70.4
27	77.6	75.6	79.7	68.5	66.2	70.6
28	77.6	75.6	79.7	68.7	66.5	70.8
29	77.7	75.7	79.8	68.9	66.7	71
30	77.7	75.7	79.8	69.1	67	71.1
31	77.7	75.8	79.8	69.3	67.2	71.3
32	77.8	75.8	79.9	69.5	67.4	71.5
33	77.8	75.8	79.9	69.8	67.7	71.7
34	77.8	75.9	79.9	70	67.9	71.8
35	77.9	75.9	80	70.2	68.2	72
36	77.9	75.9	80	70.4	68.4	72.2
37	78	76	80	70.6	68.6	72.4
38	78	76	80.1	70.8	68.9	72.5
39	78.1	76.1	80.1	71	69.1	72.7
40	78.1	76.1	80.2	71.2	69.4	72.9
41	78.1	76.2	80.2	71.5	69.6	73.1
42	78.2	76.2	80.3	71.7	69.9	73.3
43	78.3	76.3	80.3	71.9	70.1	73.5
44	78.3	76.3	80.4	72.1	70.4	73.7
45	78.4	76.4	80.4	72.4	70.6	73.9
46	78.4	76.5	80.5	72.6	70.9	74.1
47	78.5	76.6	80.6	72.8	71.2	74.3
48	78.6	76.7	80.6	73	71.4	74.4
49	78.7	76.8	80.7	73.3	71.7	74.6
50	78.8	76.9	80.8	73.5	72	74.8
51	78.9	77	80.9	73.8	72.3	75.1
52	79	77.1	81	74	72.6	75.3
53	79.1	77.2	81.1	74.3	72.9	75.5
54	79.2	77.4	81.2	74.5	73.2	75.7
55	79.4	77.5	81.3	74.8	73.5	76
56	79.5	77.7	81.4	75.1	73.8	76.2
57	79.7	77.9	81.5	75.4	74.1	76.4
58	79.8	78.1	81.6	75.7	74.5	76.7
59	80	78.3	81.8	76	74.8	76.9
60	80.2	78.5	81.9	76.3	75.1	77.2
61	80.4	78.7	82	76.6	75.5	77.5
62	80.6	79	82.2	76.9	75.9	77.8
63	80.8	79.2	82.3	77.3	76.3	78.1
64	81	79.5	82.5	77.6	76.7	78.4
65	81.2	79.8	82.7	78	77.1	78.7
66	81.5	80.1	82.9	78.4	77.5	79.1
67	81.8	80.4	83.1	78.8	77.9	79.5
68	82.1	80.7	83.4	79.2	78.4	79.8
69	82.4	81.1	83.6	79.7	78.9	80.2
70	82.7	81.4	83.9	80.1	79.3	80.7
71	83	81.8	84.2	80.6	79.8	81.1
72	83.4	82.2	84.5	81.1	80.4	81.6
73	83.8	82.7	84.8	81.6	80.9	82.1
74	84.2	83.1	85.1	82.1	81.5	82.6
75	84.6	83.6	85.5	82.6	82	83.1
76	85	84.1	85.9	83.2	82.6	83.6
77	85.5	84.6	86.3	83.8	83.2	84.2
78	86	85.1	86.7	84.4	83.8	84.7
79	86.5	85.6	87.1	85	84.5	85.3
80	87	86.2	87.6	85.6	85.1	85.9
81	87.6	86.8	88.1	86.3	85.8	86.6
82	88.1	87.4	88.7	87	86.5	87.2
83	88.8	88	89.2	87.7	87.2	87.9
84	89.4	88.7	89.8	88.4	87.9	88.6
85	90	89.4	90.5	89.1	88.7	89.4
86	90.7	90.1	91.1	89.9	89.4	90.1
87	91.4	90.8	91.7	90.6	90.2	90.8
88	92.1	91.5	92.4	91.4	91	91.6
89	92.8	92.3	93.1	92.2	91.8	92.4
90	93.6	93.1	93.8	93	92.6	93.2
91	94.3	93.9	94.6	93.8	93.4	94
92	95.1	94.7	95.3	94.7	94.2	94.8
93	95.9	95.5	96.1	95.5	95.1	95.6
94	96.8	96.4	96.9	96.3	96	96.4
95	97.6	97.2	97.7	97.2	96.9	97.3
96	98.4	98.1	98.6	98.1	97.8	98.1
97	99.3	99	99.4	98.9	98.7	99
98	100.2	99.9	100.3	99.8	99.6	99.9
99	101.1	100.8	101.1	100.7	100.6	100.8
100	101.9	101.7	102	101.7	101.6	101.8

Odds of living to age in Morocco vs South Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 89.1% in Morocco and 61.1% in South Sudan are expected to survive till at least 60 years old, 75.8% and 45.1% will live to 70 years or older, 47.4% and 21.3% to 80+ years, and 12.2% and 3.37% 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
	Morocco			South Sudan
	Average	Male	Female	Average	Male	Female
1	98.7%	98.6%	98.9%	93.8%	93.3%	94.2%
2	98.6%	98.5%	98.8%	92.7%	92.3%	93.1%
3	98.6%	98.4%	98.7%	91.8%	91.4%	92.2%
4	98.5%	98.4%	98.7%	91%	90.6%	91.5%
5	98.5%	98.3%	98.6%	90.3%	89.8%	90.9%
6	98.4%	98.3%	98.6%	89.8%	89.2%	90.4%
7	98.4%	98.3%	98.6%	89.3%	88.6%	90%
8	98.4%	98.2%	98.5%	88.9%	88.2%	89.7%
9	98.3%	98.2%	98.5%	88.6%	87.8%	89.4%
10	98.3%	98.2%	98.5%	88.3%	87.4%	89.1%
11	98.3%	98.1%	98.5%	88%	87.1%	88.9%
12	98.3%	98.1%	98.4%	87.8%	86.8%	88.7%
13	98.2%	98.1%	98.4%	87.5%	86.6%	88.5%
14	98.2%	98.1%	98.4%	87.3%	86.3%	88.4%
15	98.2%	98%	98.4%	87.1%	86%	88.2%
16	98.2%	98%	98.3%	86.8%	85.7%	87.9%
17	98.1%	97.9%	98.3%	86.5%	85.4%	87.7%
18	98.1%	97.9%	98.3%	86.2%	85.1%	87.5%
19	98%	97.8%	98.2%	85.9%	84.7%	87.2%
20	98%	97.7%	98.2%	85.6%	84.2%	87%
21	97.9%	97.7%	98.2%	85.2%	83.7%	86.7%
22	97.8%	97.6%	98.1%	84.8%	83.2%	86.4%
23	97.8%	97.5%	98.1%	84.4%	82.7%	86.1%
24	97.7%	97.4%	98%	84%	82.2%	85.8%
25	97.6%	97.4%	98%	83.5%	81.6%	85.5%
26	97.6%	97.3%	97.9%	83.1%	81.1%	85.2%
27	97.5%	97.2%	97.8%	82.7%	80.6%	84.9%
28	97.5%	97.1%	97.8%	82.2%	80.1%	84.5%
29	97.4%	97.1%	97.7%	81.8%	79.5%	84.2%
30	97.3%	97%	97.7%	81.4%	79%	83.8%
31	97.2%	96.9%	97.6%	80.9%	78.5%	83.5%
32	97.2%	96.8%	97.5%	80.5%	77.9%	83.1%
33	97.1%	96.8%	97.5%	80%	77.4%	82.7%
34	97%	96.7%	97.4%	79.6%	76.9%	82.4%
35	96.9%	96.6%	97.3%	79.1%	76.3%	82%
36	96.8%	96.5%	97.2%	78.6%	75.8%	81.6%
37	96.7%	96.4%	97.1%	78.1%	75.2%	81.2%
38	96.6%	96.3%	97%	77.6%	74.6%	80.8%
39	96.5%	96.2%	96.9%	77.1%	74%	80.3%
40	96.4%	96%	96.8%	76.6%	73.4%	79.9%
41	96.3%	95.9%	96.7%	76.1%	72.8%	79.4%
42	96.2%	95.7%	96.6%	75.5%	72.1%	78.9%
43	96%	95.6%	96.5%	74.9%	71.5%	78.4%
44	95.8%	95.4%	96.3%	74.3%	70.8%	77.9%
45	95.7%	95.2%	96.2%	73.7%	70.1%	77.4%
46	95.5%	95%	96%	73.1%	69.4%	76.9%
47	95.2%	94.7%	95.8%	72.5%	68.6%	76.4%
48	95%	94.4%	95.6%	71.8%	67.9%	75.8%
49	94.7%	94.1%	95.4%	71.1%	67.1%	75.3%
50	94.4%	93.7%	95.1%	70.4%	66.3%	74.7%
51	94.1%	93.3%	94.9%	69.7%	65.4%	74%
52	93.7%	92.9%	94.6%	68.9%	64.5%	73.4%
53	93.3%	92.4%	94.3%	68%	63.5%	72.7%
54	92.9%	91.8%	93.9%	67.2%	62.5%	71.9%
55	92.4%	91.2%	93.5%	66.3%	61.5%	71.1%
56	91.8%	90.5%	93.1%	65.3%	60.4%	70.3%
57	91.2%	89.8%	92.7%	64.4%	59.3%	69.5%
58	90.6%	88.9%	92.2%	63.3%	58.2%	68.6%
59	89.8%	88%	91.7%	62.3%	57%	67.6%
60	89.1%	87%	91.1%	61.1%	55.7%	66.6%
61	88.2%	85.9%	90.5%	59.9%	54.4%	65.5%
62	87.3%	84.7%	89.9%	58.6%	53%	64.3%
63	86.3%	83.4%	89.1%	57.3%	51.5%	63.1%
64	85.1%	82%	88.3%	55.8%	49.9%	61.7%
65	83.9%	80.5%	87.4%	54.2%	48.3%	60.2%
66	82.6%	78.8%	86.4%	52.6%	46.6%	58.7%
67	81.1%	77%	85.3%	50.9%	44.8%	57%
68	79.5%	75.1%	84.1%	49.1%	42.9%	55.2%
69	77.7%	73%	82.7%	47.1%	41%	53.3%
70	75.8%	70.7%	81.1%	45.1%	39%	51.3%
71	73.7%	68.3%	79.4%	43%	36.9%	49.2%
72	71.5%	65.7%	77.6%	40.8%	34.7%	46.9%
73	69%	62.9%	75.5%	38.5%	32.5%	44.6%
74	66.4%	60%	73.3%	36.2%	30.2%	42.1%
75	63.7%	56.9%	70.9%	33.7%	27.9%	39.6%
76	60.7%	53.7%	68.3%	31.3%	25.6%	36.9%
77	57.6%	50.3%	65.5%	28.8%	23.3%	34.3%
78	54.3%	46.9%	62.4%	26.3%	21%	31.6%
79	50.9%	43.3%	59.2%	23.8%	18.8%	28.8%
80	47.4%	39.7%	55.7%	21.3%	16.6%	26.1%
81	43.7%	36%	52%	18.9%	14.5%	23.3%
82	39.9%	32.2%	48.1%	16.6%	12.5%	20.6%
83	36%	28.5%	44%	14.4%	10.6%	18%
84	32.2%	24.9%	39.9%	12.3%	8.88%	15.6%
85	28.4%	21.4%	35.8%	10.3%	7.31%	13.2%
86	24.8%	18.2%	31.7%	8.54%	5.92%	11.1%
87	21.3%	15.1%	27.7%	6.96%	4.7%	9.18%
88	18%	12.3%	23.9%	5.58%	3.65%	7.47%
89	14.9%	9.83%	20.3%	4.38%	2.76%	5.98%
90	12.2%	7.68%	16.9%	3.37%	2.03%	4.7%
91	9.74%	5.86%	13.9%	2.54%	1.45%	3.62%
92	7.63%	4.36%	11.1%	1.87%	1%	2.73%
93	5.84%	3.16%	8.72%	1.35%	0.67%	2.01%
94	4.37%	2.23%	6.69%	0.94%	0.44%	1.44%
95	3.19%	1.53%	5.01%	0.64%	0.27%	1%
96	2.27%	1.02%	3.65%	0.43%	0.16%	0.67%
97	1.57%	0.65%	2.59%	0.27%	0.1%	0.44%
98	1.06%	0.41%	1.79%	0.17%	0.05%	0.28%
99	0.69%	0.25%	1.2%	0.1%	0.03%	0.17%
100	0.44%	0.14%	0.78%	0.06%	0.02%	0.1%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 1.28% in the birth year in Morocco and 6.22% in South Sudan, 0.07% vs 0.55% at age 30, 0.96% vs 1.98% at 60, and 7.79% vs 11.3% at 80.

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

Table

Age	Probability of dying
	Morocco			South Sudan
	Average	Male	Female	Average	Male	Female
0	1.28%	1.44%	1.12%	6.22%	6.67%	5.75%
1	0.08%	0.07%	0.09%	1.16%	1.1%	1.22%
2	0.06%	0.06%	0.07%	0.99%	0.99%	0.98%
3	0.05%	0.05%	0.05%	0.85%	0.9%	0.8%
4	0.05%	0.05%	0.04%	0.73%	0.8%	0.65%
5	0.04%	0.04%	0.04%	0.62%	0.71%	0.53%
6	0.03%	0.04%	0.03%	0.53%	0.63%	0.43%
7	0.03%	0.03%	0.03%	0.45%	0.54%	0.36%
8	0.03%	0.03%	0.03%	0.39%	0.47%	0.31%
9	0.03%	0.03%	0.02%	0.34%	0.4%	0.27%
10	0.03%	0.03%	0.02%	0.3%	0.35%	0.24%
11	0.03%	0.03%	0.02%	0.27%	0.32%	0.22%
12	0.03%	0.03%	0.02%	0.26%	0.3%	0.22%
13	0.03%	0.03%	0.02%	0.26%	0.3%	0.22%
14	0.03%	0.04%	0.03%	0.27%	0.31%	0.22%
15	0.04%	0.04%	0.03%	0.29%	0.34%	0.24%
16	0.04%	0.05%	0.03%	0.32%	0.37%	0.26%
17	0.05%	0.06%	0.04%	0.35%	0.42%	0.27%
18	0.05%	0.06%	0.04%	0.38%	0.47%	0.29%
19	0.06%	0.07%	0.04%	0.41%	0.52%	0.3%
20	0.06%	0.08%	0.04%	0.44%	0.57%	0.32%
21	0.06%	0.08%	0.05%	0.47%	0.61%	0.33%
22	0.06%	0.08%	0.05%	0.49%	0.63%	0.34%
23	0.07%	0.08%	0.05%	0.5%	0.65%	0.35%
24	0.07%	0.08%	0.05%	0.51%	0.65%	0.36%
25	0.07%	0.08%	0.06%	0.51%	0.65%	0.37%
26	0.07%	0.08%	0.06%	0.52%	0.65%	0.38%
27	0.07%	0.08%	0.06%	0.52%	0.65%	0.39%
28	0.07%	0.08%	0.06%	0.53%	0.65%	0.41%
29	0.07%	0.08%	0.06%	0.54%	0.66%	0.42%
30	0.07%	0.08%	0.07%	0.55%	0.67%	0.43%
31	0.08%	0.08%	0.07%	0.56%	0.68%	0.44%
32	0.08%	0.08%	0.07%	0.57%	0.69%	0.45%
33	0.08%	0.09%	0.08%	0.58%	0.7%	0.46%
34	0.09%	0.09%	0.08%	0.59%	0.71%	0.47%
35	0.09%	0.1%	0.09%	0.6%	0.73%	0.48%
36	0.1%	0.1%	0.09%	0.61%	0.74%	0.49%
37	0.1%	0.11%	0.1%	0.63%	0.76%	0.51%
38	0.11%	0.12%	0.1%	0.65%	0.79%	0.53%
39	0.12%	0.13%	0.11%	0.68%	0.82%	0.56%
40	0.13%	0.14%	0.12%	0.71%	0.85%	0.58%
41	0.14%	0.16%	0.13%	0.74%	0.89%	0.61%
42	0.16%	0.17%	0.14%	0.77%	0.92%	0.63%
43	0.17%	0.19%	0.15%	0.79%	0.96%	0.64%
44	0.19%	0.22%	0.16%	0.81%	0.99%	0.66%
45	0.21%	0.24%	0.18%	0.84%	1.02%	0.67%
46	0.24%	0.28%	0.2%	0.86%	1.06%	0.69%
47	0.26%	0.31%	0.22%	0.9%	1.11%	0.71%
48	0.29%	0.35%	0.24%	0.95%	1.17%	0.75%
49	0.32%	0.38%	0.26%	1%	1.24%	0.79%
50	0.35%	0.43%	0.28%	1.07%	1.32%	0.85%
51	0.39%	0.47%	0.3%	1.14%	1.41%	0.91%
52	0.43%	0.53%	0.33%	1.21%	1.49%	0.97%
53	0.47%	0.59%	0.36%	1.28%	1.57%	1.03%
54	0.53%	0.66%	0.39%	1.35%	1.65%	1.09%
55	0.59%	0.75%	0.43%	1.42%	1.73%	1.15%
56	0.65%	0.84%	0.47%	1.49%	1.82%	1.21%
57	0.72%	0.94%	0.51%	1.58%	1.93%	1.29%
58	0.8%	1.04%	0.56%	1.69%	2.06%	1.39%
59	0.88%	1.15%	0.62%	1.82%	2.21%	1.5%
60	0.96%	1.27%	0.67%	1.98%	2.39%	1.64%
61	1.06%	1.39%	0.74%	2.16%	2.59%	1.8%
62	1.16%	1.53%	0.82%	2.35%	2.81%	1.97%
63	1.29%	1.68%	0.91%	2.56%	3.04%	2.17%
64	1.43%	1.86%	1.02%	2.78%	3.28%	2.37%
65	1.59%	2.06%	1.15%	3.02%	3.54%	2.6%
66	1.78%	2.28%	1.29%	3.28%	3.83%	2.84%
67	1.99%	2.53%	1.46%	3.57%	4.14%	3.12%
68	2.22%	2.81%	1.65%	3.9%	4.5%	3.43%
69	2.48%	3.12%	1.86%	4.26%	4.91%	3.77%
70	2.76%	3.45%	2.09%	4.68%	5.37%	4.16%
71	3.07%	3.81%	2.34%	5.13%	5.87%	4.58%
72	3.4%	4.21%	2.62%	5.62%	6.41%	5.03%
73	3.77%	4.64%	2.94%	6.14%	6.99%	5.52%
74	4.16%	5.12%	3.28%	6.69%	7.61%	6.05%
75	4.61%	5.64%	3.68%	7.29%	8.28%	6.61%
76	5.11%	6.23%	4.13%	7.94%	9%	7.23%
77	5.68%	6.88%	4.65%	8.67%	9.8%	7.92%
78	6.31%	7.62%	5.24%	9.47%	10.7%	8.69%
79	7%	8.43%	5.92%	10.4%	11.7%	9.54%
80	7.79%	9.34%	6.67%	11.3%	12.7%	10.5%
81	8.67%	10.4%	7.5%	12.4%	13.8%	11.5%
82	9.63%	11.5%	8.39%	13.5%	15%	12.6%
83	10.6%	12.7%	9.34%	14.6%	16.3%	13.7%
84	11.7%	14%	10.3%	15.9%	17.6%	14.9%
85	12.9%	15.4%	11.4%	17.1%	19%	16.1%
86	14.1%	16.9%	12.5%	18.5%	20.6%	17.4%
87	15.5%	18.4%	13.8%	19.9%	22.4%	18.6%
88	16.9%	20.1%	15.1%	21.4%	24.3%	20%
89	18.4%	21.9%	16.6%	23%	26.4%	21.4%
90	20%	23.7%	18.1%	24.6%	28.6%	22.9%
91	21.7%	25.6%	19.8%	26.3%	30.8%	24.6%
92	23.4%	27.5%	21.5%	28.1%	33%	26.4%
93	25.2%	29.5%	23.3%	30%	35.2%	28.4%
94	27%	31.5%	25.2%	31.9%	37.5%	30.6%
95	28.8%	33.5%	27%	33.8%	39.8%	32.8%
96	30.7%	35.5%	29%	35.6%	41.9%	35%
97	32.6%	37.6%	31%	37.7%	43.8%	37.1%
98	34.6%	39.6%	33%	40.5%	45.5%	39.1%
99	36.5%	41.6%	35%	43.7%	47.1%	41%
100	38.4%	43.7%	37%	45.7%	49.1%	43.1%

Death rate by age in Morocco compared to South Sudan

In Morocco, the most common age of death is 82, compared to 0 in South Sudan. The median age of death is 79.3 in Morocco and 67.5 in South Sudan — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Morocco			South Sudan
	Total	Male	Female	Total	Male	Female
0	1,282	1,435	1,121	6,215	6,667	5,754
1	78.7	70.8	86.9	1,086	1,027	1,147
2	62.7	59.6	65.9	915	916	915
3	52.3	52.3	52.3	776	818	733
4	44.6	46.5	42.6	660	727	591
5	38.6	41.5	35.6	561	641	479
6	33.9	37.1	30.5	477	558	393
7	30.3	33.5	27	404	480	326
8	27.7	30.5	24.7	344	411	275.7
9	25.9	28.5	23.1	296.8	353	238.8
10	24.9	27.3	22.3	262	309	213.5
11	24.8	27.2	22.3	239.4	279	198.2
12	25.7	28.4	22.9	227.9	262.8	191.3
13	27.7	31	24.3	226.8	260.1	192
14	30.8	35.1	26.3	235.1	270	198.7
15	35.1	40.9	28.9	251.3	290.8	210.1
16	40.3	48	32	273.6	321	224.4
17	45.9	55.9	35.3	299.3	357	239.3
18	51.4	63.6	38.5	327	397	253.5
19	56	69.8	41.4	354	439	265.4
20	59.4	74.1	44	379	478	275.1
21	61.6	76.3	46.2	398	508	283.3
22	62.9	76.9	48.2	412	527	290.7
23	63.6	76.4	50.1	420	535	298.4
24	64.1	75.4	52.1	424	536	307
25	64.5	74.3	54.1	427	532	316
26	65.1	73.5	56.1	429	527	325
27	65.9	73.2	58.2	432	523	335
28	67.2	73.6	60.4	436	522	344
29	68.8	74.7	62.7	440	523	352
30	71	76.5	65.2	446	527	359
31	73.6	79	67.9	451	533	366
32	76.7	82	71	456	538	372
33	80.2	85.7	74.5	461	544	377
34	84.4	89.9	78.6	466	549	384
35	89.1	94.8	83.2	473	555	392
36	94.5	100.5	88.2	481	563	402
37	100.6	107.2	93.7	493	575	415
38	107.6	115.1	99.8	508	590	431
39	115.6	124.6	106.4	526	608	449
40	125	135.9	114	545	628	467
41	136.2	149.5	122.6	564	648	483
42	149.3	165.7	132.7	580	667	496
43	164.9	184.9	144.5	593	685	506
44	183	207.4	158.2	604	700	512
45	203.5	233.1	173.5	616	717	519
46	226.3	261.7	190.4	631	737	528
47	250.8	292.7	208.2	651	762	543
48	276.5	326	226.9	679	794	566
49	304	361	246.1	713	832	596
50	333	400	266.3	753	875	633
51	365	442	287.9	795	919	672
52	401	490	312	835	961	711
53	443	546	338	872	999	748
54	490	609	368	906	1,033	782
55	542	680	401	939	1,066	816
56	600	759	438	976	1,102	853
57	661	841	477	1,018	1,145	896
58	723	926	519	1,072	1,197	950
59	788	1,013	565	1,136	1,260	1,015
60	856	1,102	614	1,210	1,332	1,092
61	932	1,194	671	1,292	1,409	1,178
62	1,015	1,294	735	1,378	1,488	1,270
63	1,109	1,403	811	1,465	1,565	1,366
64	1,215	1,524	900	1,551	1,639	1,464
65	1,336	1,656	1,001	1,636	1,710	1,565
66	1,471	1,800	1,117	1,724	1,782	1,668
67	1,615	1,952	1,246	1,815	1,855	1,777
68	1,768	2,111	1,385	1,911	1,933	1,891
69	1,929	2,274	1,535	2,011	2,013	2,011
70	2,094	2,439	1,694	2,111	2,091	2,133
71	2,264	2,603	1,861	2,207	2,164	2,252
72	2,433	2,764	2,035	2,292	2,226	2,363
73	2,600	2,920	2,217	2,364	2,272	2,461
74	2,766	3,070	2,408	2,419	2,300	2,546
75	2,935	3,212	2,608	2,459	2,311	2,615
76	3,106	3,345	2,821	2,485	2,305	2,672
77	3,272	3,466	3,044	2,497	2,284	2,714
78	3,427	3,570	3,274	2,490	2,246	2,742
79	3,565	3,653	3,502	2,465	2,188	2,750
80	3,689	3,706	3,714	2,417	2,108	2,734
81	3,787	3,721	3,897	2,342	2,003	2,685
82	3,839	3,692	4,033	2,237	1,874	2,600
83	3,833	3,613	4,112	2,103	1,725	2,478
84	3,773	3,480	4,128	1,944	1,562	2,321
85	3,665	3,294	4,082	1,767	1,392	2,135
86	3,504	3,060	3,978	1,579	1,221	1,929
87	3,291	2,784	3,820	1,386	1,052	1,712
88	3,037	2,477	3,614	1,193	887	1,492
89	2,751	2,151	3,362	1,007	729	1,279
90	2,441	1,821	3,069	831	582	1,077
91	2,115	1,500	2,742	670	447	890
92	1,787	1,200	2,392	527	331	722
93	1,472	932	2,034	404	237	571
94	1,180	702	1,683	301	163.5	440
95	920	511	1,354	217.2	108.2	328
96	697	361	1,059	151.7	68.7	235
97	513	246	803	103.4	41.7	162.1
98	366	161.9	590	69.1	24.4	107.5
99	252.8	102.7	420	44.4	13.7	68.6
100	50.1	0	144.3	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 Morocco 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
• Morocco vs South Sudan: Statistical Insights

By topic vs comparisons:

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