Life Expectancy in Morocco vs Myanmar (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 Myanmar: 77.7 years vs 72.1 at 30, 81.2 vs 78.5 at 65, 87 vs 85.7 at 80 — significantly higher than the 75.9 vs 67.5 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 Myanmar.

Table

Current age, years	Total life expectancy, years
	Morocco			Myanmar
	Average	Male	Female	Average	Male	Female
0	75.9	73.7	78.1	67.5	64.4	70.8
1	76.8	74.8	79	69.7	66.8	72.7
2	76.9	74.8	79.1	69.9	67	72.9
3	77	74.9	79.1	70	67.1	73
4	77	74.9	79.2	70.1	67.3	73.1
5	77	75	79.2	70.2	67.4	73.2
6	77.1	75	79.2	70.3	67.5	73.3
7	77.1	75	79.3	70.4	67.6	73.3
8	77.1	75	79.3	70.5	67.7	73.3
9	77.1	75	79.3	70.5	67.7	73.4
10	77.1	75.1	79.3	70.6	67.8	73.4
11	77.2	75.1	79.3	70.6	67.9	73.4
12	77.2	75.1	79.3	70.7	67.9	73.5
13	77.2	75.1	79.4	70.7	68	73.5
14	77.2	75.1	79.4	70.7	68	73.5
15	77.2	75.2	79.4	70.8	68.1	73.6
16	77.2	75.2	79.4	70.9	68.2	73.6
17	77.3	75.2	79.4	70.9	68.3	73.6
18	77.3	75.3	79.4	71	68.4	73.7
19	77.3	75.3	79.5	71.1	68.5	73.7
20	77.4	75.3	79.5	71.2	68.6	73.8
21	77.4	75.4	79.5	71.2	68.7	73.9
22	77.4	75.4	79.6	71.3	68.8	73.9
23	77.5	75.5	79.6	71.4	68.9	74
24	77.5	75.5	79.6	71.5	69.1	74
25	77.5	75.5	79.6	71.6	69.2	74.1
26	77.6	75.6	79.7	71.7	69.3	74.2
27	77.6	75.6	79.7	71.8	69.4	74.2
28	77.6	75.6	79.7	71.9	69.5	74.3
29	77.7	75.7	79.8	72	69.7	74.4
30	77.7	75.7	79.8	72.1	69.8	74.4
31	77.7	75.8	79.8	72.2	69.9	74.5
32	77.8	75.8	79.9	72.3	70	74.6
33	77.8	75.8	79.9	72.4	70.1	74.6
34	77.8	75.9	79.9	72.5	70.2	74.7
35	77.9	75.9	80	72.6	70.4	74.8
36	77.9	75.9	80	72.7	70.5	74.9
37	78	76	80	72.8	70.6	74.9
38	78	76	80.1	72.9	70.8	75
39	78.1	76.1	80.1	73	70.9	75.1
40	78.1	76.1	80.2	73.1	71	75.2
41	78.1	76.2	80.2	73.2	71.2	75.3
42	78.2	76.2	80.3	73.4	71.3	75.4
43	78.3	76.3	80.3	73.5	71.5	75.5
44	78.3	76.3	80.4	73.6	71.6	75.6
45	78.4	76.4	80.4	73.8	71.8	75.7
46	78.4	76.5	80.5	73.9	72	75.8
47	78.5	76.6	80.6	74.1	72.2	75.9
48	78.6	76.7	80.6	74.2	72.4	76
49	78.7	76.8	80.7	74.4	72.6	76.2
50	78.8	76.9	80.8	74.6	72.8	76.3
51	78.9	77	80.9	74.8	73	76.5
52	79	77.1	81	75	73.2	76.6
53	79.1	77.2	81.1	75.2	73.5	76.8
54	79.2	77.4	81.2	75.4	73.7	76.9
55	79.4	77.5	81.3	75.6	74	77.1
56	79.5	77.7	81.4	75.8	74.3	77.3
57	79.7	77.9	81.5	76.1	74.5	77.5
58	79.8	78.1	81.6	76.3	74.8	77.7
59	80	78.3	81.8	76.6	75.2	77.9
60	80.2	78.5	81.9	76.9	75.5	78.1
61	80.4	78.7	82	77.2	75.8	78.4
62	80.6	79	82.2	77.5	76.2	78.6
63	80.8	79.2	82.3	77.8	76.6	78.9
64	81	79.5	82.5	78.1	76.9	79.1
65	81.2	79.8	82.7	78.5	77.3	79.4
66	81.5	80.1	82.9	78.8	77.7	79.7
67	81.8	80.4	83.1	79.2	78.2	80
68	82.1	80.7	83.4	79.6	78.6	80.4
69	82.4	81.1	83.6	80	79.1	80.7
70	82.7	81.4	83.9	80.4	79.5	81.1
71	83	81.8	84.2	80.9	80	81.5
72	83.4	82.2	84.5	81.3	80.5	81.9
73	83.8	82.7	84.8	81.8	81.1	82.3
74	84.2	83.1	85.1	82.3	81.6	82.8
75	84.6	83.6	85.5	82.8	82.2	83.3
76	85	84.1	85.9	83.3	82.8	83.8
77	85.5	84.6	86.3	83.9	83.4	84.3
78	86	85.1	86.7	84.5	84	84.8
79	86.5	85.6	87.1	85.1	84.6	85.4
80	87	86.2	87.6	85.7	85.3	86
81	87.6	86.8	88.1	86.3	85.9	86.6
82	88.1	87.4	88.7	87	86.6	87.2
83	88.8	88	89.2	87.7	87.3	87.9
84	89.4	88.7	89.8	88.4	88	88.6
85	90	89.4	90.5	89.1	88.8	89.3
86	90.7	90.1	91.1	89.8	89.5	90
87	91.4	90.8	91.7	90.5	90.3	90.7
88	92.1	91.5	92.4	91.3	91	91.4
89	92.8	92.3	93.1	92.1	91.8	92.2
90	93.6	93.1	93.8	92.9	92.6	93
91	94.3	93.9	94.6	93.7	93.5	93.8
92	95.1	94.7	95.3	94.5	94.3	94.6
93	95.9	95.5	96.1	95.4	95.2	95.4
94	96.8	96.4	96.9	96.2	96.1	96.3
95	97.6	97.2	97.7	97.1	97	97.2
96	98.4	98.1	98.6	98	97.9	98
97	99.3	99	99.4	98.9	98.8	98.9
98	100.2	99.9	100.3	99.8	99.7	99.8
99	101.1	100.8	101.1	100.7	100.6	100.7
100	101.9	101.7	102	101.7	101.6	101.7

Odds of living to age in Morocco vs Myanmar

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 89.1% in Morocco and 76.4% in Myanmar are expected to survive till at least 60 years old, 75.8% and 58.2% will live to 70 years or older, 47.4% and 28.9% to 80+ years, and 12.2% and 4.63% 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			Myanmar
	Average	Male	Female	Average	Male	Female
1	98.7%	98.6%	98.9%	96.8%	96.3%	97.4%
2	98.6%	98.5%	98.8%	96.6%	96.1%	97.1%
3	98.6%	98.4%	98.7%	96.4%	95.9%	96.9%
4	98.5%	98.4%	98.7%	96.2%	95.7%	96.8%
5	98.5%	98.3%	98.6%	96.1%	95.5%	96.7%
6	98.4%	98.3%	98.6%	95.9%	95.3%	96.6%
7	98.4%	98.3%	98.6%	95.8%	95.2%	96.5%
8	98.4%	98.2%	98.5%	95.7%	95%	96.5%
9	98.3%	98.2%	98.5%	95.7%	94.9%	96.4%
10	98.3%	98.2%	98.5%	95.6%	94.8%	96.4%
11	98.3%	98.1%	98.5%	95.5%	94.7%	96.3%
12	98.3%	98.1%	98.4%	95.4%	94.6%	96.3%
13	98.2%	98.1%	98.4%	95.4%	94.5%	96.2%
14	98.2%	98.1%	98.4%	95.3%	94.4%	96.2%
15	98.2%	98%	98.4%	95.2%	94.3%	96.1%
16	98.2%	98%	98.3%	95.1%	94.2%	96.1%
17	98.1%	97.9%	98.3%	95%	94%	96%
18	98.1%	97.9%	98.3%	94.8%	93.8%	95.9%
19	98%	97.8%	98.2%	94.7%	93.6%	95.8%
20	98%	97.7%	98.2%	94.6%	93.4%	95.7%
21	97.9%	97.7%	98.2%	94.4%	93.2%	95.6%
22	97.8%	97.6%	98.1%	94.2%	93%	95.5%
23	97.8%	97.5%	98.1%	94%	92.7%	95.4%
24	97.7%	97.4%	98%	93.8%	92.5%	95.3%
25	97.6%	97.4%	98%	93.6%	92.2%	95.2%
26	97.6%	97.3%	97.9%	93.5%	92%	95.1%
27	97.5%	97.2%	97.8%	93.3%	91.7%	94.9%
28	97.5%	97.1%	97.8%	93.1%	91.4%	94.8%
29	97.4%	97.1%	97.7%	92.9%	91.2%	94.7%
30	97.3%	97%	97.7%	92.7%	90.9%	94.5%
31	97.2%	96.9%	97.6%	92.5%	90.7%	94.4%
32	97.2%	96.8%	97.5%	92.3%	90.4%	94.2%
33	97.1%	96.8%	97.5%	92%	90.1%	94.1%
34	97%	96.7%	97.4%	91.8%	89.8%	93.9%
35	96.9%	96.6%	97.3%	91.6%	89.5%	93.7%
36	96.8%	96.5%	97.2%	91.3%	89.2%	93.5%
37	96.7%	96.4%	97.1%	91%	88.9%	93.4%
38	96.6%	96.3%	97%	90.7%	88.5%	93.1%
39	96.5%	96.2%	96.9%	90.5%	88.1%	92.9%
40	96.4%	96%	96.8%	90.1%	87.7%	92.7%
41	96.3%	95.9%	96.7%	89.8%	87.3%	92.5%
42	96.2%	95.7%	96.6%	89.5%	86.9%	92.2%
43	96%	95.6%	96.5%	89.1%	86.4%	91.9%
44	95.8%	95.4%	96.3%	88.7%	85.9%	91.6%
45	95.7%	95.2%	96.2%	88.2%	85.4%	91.3%
46	95.5%	95%	96%	87.8%	84.8%	91%
47	95.2%	94.7%	95.8%	87.3%	84.2%	90.6%
48	95%	94.4%	95.6%	86.8%	83.5%	90.2%
49	94.7%	94.1%	95.4%	86.2%	82.9%	89.8%
50	94.4%	93.7%	95.1%	85.6%	82.1%	89.3%
51	94.1%	93.3%	94.9%	84.9%	81.3%	88.8%
52	93.7%	92.9%	94.6%	84.2%	80.4%	88.3%
53	93.3%	92.4%	94.3%	83.5%	79.5%	87.7%
54	92.9%	91.8%	93.9%	82.7%	78.5%	87.1%
55	92.4%	91.2%	93.5%	81.8%	77.5%	86.4%
56	91.8%	90.5%	93.1%	80.9%	76.3%	85.7%
57	91.2%	89.8%	92.7%	79.9%	75.1%	84.9%
58	90.6%	88.9%	92.2%	78.8%	73.8%	84%
59	89.8%	88%	91.7%	77.6%	72.4%	83.1%
60	89.1%	87%	91.1%	76.4%	71%	82.1%
61	88.2%	85.9%	90.5%	75%	69.4%	81.1%
62	87.3%	84.7%	89.9%	73.6%	67.7%	79.9%
63	86.3%	83.4%	89.1%	72.1%	65.9%	78.6%
64	85.1%	82%	88.3%	70.5%	64%	77.3%
65	83.9%	80.5%	87.4%	68.7%	62%	75.8%
66	82.6%	78.8%	86.4%	66.9%	60%	74.2%
67	81.1%	77%	85.3%	64.9%	57.8%	72.4%
68	79.5%	75.1%	84.1%	62.8%	55.5%	70.5%
69	77.7%	73%	82.7%	60.6%	53.1%	68.5%
70	75.8%	70.7%	81.1%	58.2%	50.6%	66.3%
71	73.7%	68.3%	79.4%	55.7%	48%	63.9%
72	71.5%	65.7%	77.6%	53.1%	45.3%	61.4%
73	69%	62.9%	75.5%	50.4%	42.5%	58.7%
74	66.4%	60%	73.3%	47.5%	39.6%	55.8%
75	63.7%	56.9%	70.9%	44.6%	36.7%	52.8%
76	60.7%	53.7%	68.3%	41.5%	33.8%	49.6%
77	57.6%	50.3%	65.5%	38.4%	30.9%	46.3%
78	54.3%	46.9%	62.4%	35.3%	27.9%	42.9%
79	50.9%	43.3%	59.2%	32.1%	25%	39.4%
80	47.4%	39.7%	55.7%	28.9%	22.2%	35.8%
81	43.7%	36%	52%	25.7%	19.4%	32.2%
82	39.9%	32.2%	48.1%	22.6%	16.8%	28.6%
83	36%	28.5%	44%	19.6%	14.4%	25.1%
84	32.2%	24.9%	39.9%	16.8%	12.1%	21.7%
85	28.4%	21.4%	35.8%	14.2%	10%	18.5%
86	24.8%	18.2%	31.7%	11.8%	8.16%	15.6%
87	21.3%	15.1%	27.7%	9.65%	6.52%	12.9%
88	18%	12.3%	23.9%	7.74%	5.09%	10.5%
89	14.9%	9.83%	20.3%	6.06%	3.88%	8.34%
90	12.2%	7.68%	16.9%	4.63%	2.88%	6.46%
91	9.74%	5.86%	13.9%	3.44%	2.07%	4.87%
92	7.63%	4.36%	11.1%	2.49%	1.45%	3.57%
93	5.84%	3.16%	8.72%	1.74%	0.98%	2.54%
94	4.37%	2.23%	6.69%	1.19%	0.64%	1.76%
95	3.19%	1.53%	5.01%	0.79%	0.41%	1.18%
96	2.27%	1.02%	3.65%	0.51%	0.25%	0.77%
97	1.57%	0.65%	2.59%	0.32%	0.15%	0.49%
98	1.06%	0.41%	1.79%	0.19%	0.09%	0.3%
99	0.69%	0.25%	1.2%	0.11%	0.05%	0.18%
100	0.44%	0.14%	0.78%	0.06%	0.03%	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 3.16% in Myanmar, 0.07% vs 0.22% at age 30, 0.96% vs 1.74% at 60, and 7.79% vs 11% at 80.

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

Table

Age	Probability of dying
	Morocco			Myanmar
	Average	Male	Female	Average	Male	Female
0	1.28%	1.44%	1.12%	3.16%	3.67%	2.63%
1	0.08%	0.07%	0.09%	0.26%	0.26%	0.25%
2	0.06%	0.06%	0.07%	0.21%	0.23%	0.19%
3	0.05%	0.05%	0.05%	0.18%	0.21%	0.14%
4	0.05%	0.05%	0.04%	0.15%	0.19%	0.11%
5	0.04%	0.04%	0.04%	0.13%	0.17%	0.09%
6	0.03%	0.04%	0.03%	0.11%	0.15%	0.07%
7	0.03%	0.03%	0.03%	0.1%	0.13%	0.06%
8	0.03%	0.03%	0.03%	0.09%	0.12%	0.05%
9	0.03%	0.03%	0.02%	0.08%	0.11%	0.05%
10	0.03%	0.03%	0.02%	0.08%	0.11%	0.05%
11	0.03%	0.03%	0.02%	0.08%	0.11%	0.05%
12	0.03%	0.03%	0.02%	0.08%	0.11%	0.05%
13	0.03%	0.03%	0.02%	0.08%	0.11%	0.05%
14	0.03%	0.04%	0.03%	0.09%	0.13%	0.06%
15	0.04%	0.04%	0.03%	0.1%	0.14%	0.07%
16	0.04%	0.05%	0.03%	0.12%	0.16%	0.07%
17	0.05%	0.06%	0.04%	0.13%	0.18%	0.08%
18	0.05%	0.06%	0.04%	0.15%	0.2%	0.09%
19	0.06%	0.07%	0.04%	0.16%	0.23%	0.1%
20	0.06%	0.08%	0.04%	0.18%	0.24%	0.11%
21	0.06%	0.08%	0.05%	0.19%	0.26%	0.11%
22	0.06%	0.08%	0.05%	0.19%	0.27%	0.12%
23	0.07%	0.08%	0.05%	0.2%	0.27%	0.12%
24	0.07%	0.08%	0.05%	0.2%	0.27%	0.13%
25	0.07%	0.08%	0.06%	0.2%	0.27%	0.13%
26	0.07%	0.08%	0.06%	0.21%	0.27%	0.13%
27	0.07%	0.08%	0.06%	0.21%	0.28%	0.14%
28	0.07%	0.08%	0.06%	0.21%	0.28%	0.14%
29	0.07%	0.08%	0.06%	0.22%	0.28%	0.15%
30	0.07%	0.08%	0.07%	0.22%	0.29%	0.16%
31	0.08%	0.08%	0.07%	0.23%	0.3%	0.16%
32	0.08%	0.08%	0.07%	0.24%	0.31%	0.17%
33	0.08%	0.09%	0.08%	0.25%	0.33%	0.18%
34	0.09%	0.09%	0.08%	0.26%	0.34%	0.19%
35	0.09%	0.1%	0.09%	0.28%	0.36%	0.2%
36	0.1%	0.1%	0.09%	0.29%	0.38%	0.21%
37	0.1%	0.11%	0.1%	0.31%	0.4%	0.22%
38	0.11%	0.12%	0.1%	0.33%	0.42%	0.23%
39	0.12%	0.13%	0.11%	0.35%	0.45%	0.25%
40	0.13%	0.14%	0.12%	0.37%	0.47%	0.26%
41	0.14%	0.16%	0.13%	0.39%	0.51%	0.28%
42	0.16%	0.17%	0.14%	0.42%	0.54%	0.3%
43	0.17%	0.19%	0.15%	0.45%	0.58%	0.32%
44	0.19%	0.22%	0.16%	0.48%	0.62%	0.35%
45	0.21%	0.24%	0.18%	0.52%	0.67%	0.37%
46	0.24%	0.28%	0.2%	0.56%	0.72%	0.41%
47	0.26%	0.31%	0.22%	0.6%	0.77%	0.44%
48	0.29%	0.35%	0.24%	0.65%	0.83%	0.48%
49	0.32%	0.38%	0.26%	0.71%	0.9%	0.52%
50	0.35%	0.43%	0.28%	0.77%	0.98%	0.56%
51	0.39%	0.47%	0.3%	0.83%	1.06%	0.61%
52	0.43%	0.53%	0.33%	0.9%	1.15%	0.66%
53	0.47%	0.59%	0.36%	0.97%	1.25%	0.71%
54	0.53%	0.66%	0.39%	1.06%	1.35%	0.77%
55	0.59%	0.75%	0.43%	1.14%	1.47%	0.84%
56	0.65%	0.84%	0.47%	1.24%	1.59%	0.91%
57	0.72%	0.94%	0.51%	1.35%	1.73%	0.99%
58	0.8%	1.04%	0.56%	1.47%	1.88%	1.08%
59	0.88%	1.15%	0.62%	1.6%	2.04%	1.19%
60	0.96%	1.27%	0.67%	1.74%	2.22%	1.31%
61	1.06%	1.39%	0.74%	1.9%	2.42%	1.44%
62	1.16%	1.53%	0.82%	2.07%	2.63%	1.58%
63	1.29%	1.68%	0.91%	2.26%	2.86%	1.74%
64	1.43%	1.86%	1.02%	2.47%	3.1%	1.92%
65	1.59%	2.06%	1.15%	2.7%	3.37%	2.12%
66	1.78%	2.28%	1.29%	2.95%	3.66%	2.35%
67	1.99%	2.53%	1.46%	3.23%	3.98%	2.6%
68	2.22%	2.81%	1.65%	3.54%	4.33%	2.89%
69	2.48%	3.12%	1.86%	3.88%	4.72%	3.22%
70	2.76%	3.45%	2.09%	4.27%	5.15%	3.58%
71	3.07%	3.81%	2.34%	4.69%	5.62%	3.98%
72	3.4%	4.21%	2.62%	5.16%	6.13%	4.42%
73	3.77%	4.64%	2.94%	5.66%	6.7%	4.89%
74	4.16%	5.12%	3.28%	6.21%	7.31%	5.41%
75	4.61%	5.64%	3.68%	6.81%	7.98%	5.99%
76	5.11%	6.23%	4.13%	7.48%	8.72%	6.63%
77	5.68%	6.88%	4.65%	8.23%	9.52%	7.36%
78	6.31%	7.62%	5.24%	9.07%	10.4%	8.19%
79	7%	8.43%	5.92%	10%	11.3%	9.11%
80	7.79%	9.34%	6.67%	11%	12.4%	10.1%
81	8.67%	10.4%	7.5%	12.1%	13.5%	11.2%
82	9.63%	11.5%	8.39%	13.2%	14.6%	12.3%
83	10.6%	12.7%	9.34%	14.3%	15.8%	13.4%
84	11.7%	14%	10.3%	15.5%	17.1%	14.6%
85	12.9%	15.4%	11.4%	16.8%	18.6%	15.8%
86	14.1%	16.9%	12.5%	18.2%	20.1%	17.2%
87	15.5%	18.4%	13.8%	19.8%	21.9%	18.8%
88	16.9%	20.1%	15.1%	21.6%	23.8%	20.5%
89	18.4%	21.9%	16.6%	23.6%	25.8%	22.5%
90	20%	23.7%	18.1%	25.7%	28%	24.6%
91	21.7%	25.6%	19.8%	27.8%	30.2%	26.8%
92	23.4%	27.5%	21.5%	29.9%	32.3%	28.9%
93	25.2%	29.5%	23.3%	31.9%	34.3%	30.9%
94	27%	31.5%	25.2%	33.7%	36.3%	32.8%
95	28.8%	33.5%	27%	35.6%	38.1%	34.7%
96	30.7%	35.5%	29%	37.4%	40%	36.5%
97	32.6%	37.6%	31%	39.3%	41.8%	38.5%
98	34.6%	39.6%	33%	41.2%	43.7%	40.5%
99	36.5%	41.6%	35%	43.2%	45.6%	42.5%
100	38.4%	43.7%	37%	45%	47.5%	44.5%

Death rate by age in Morocco compared to Myanmar

In Morocco, the most common age of death is 82, compared to 79 in Myanmar. The median age of death is 79.3 in Morocco and 73.1 in Myanmar — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Morocco			Myanmar
	Total	Male	Female	Total	Male	Female
0	1,282	1,435	1,121	3,164	3,669	2,626
1	78.7	70.8	86.9	249.9	251.4	248.2
2	62.7	59.6	65.9	205.2	223.4	185.7
3	52.3	52.3	52.3	170.7	199.2	140.2
4	44.6	46.5	42.6	143.8	177.8	107.5
5	38.6	41.5	35.6	122.9	158.9	84.2
6	33.9	37.1	30.5	106.6	142.5	68.2
7	30.3	33.5	27	94.1	128.4	57.4
8	27.7	30.5	24.7	84.8	116.9	50.5
9	25.9	28.5	23.1	78.4	108.2	46.5
10	24.9	27.3	22.3	74.7	102.7	44.8
11	24.8	27.2	22.3	73.9	100.8	45.1
12	25.7	28.4	22.9	75.8	102.5	47.2
13	27.7	31	24.3	80.8	108.5	51.1
14	30.8	35.1	26.3	88.7	118.8	56.6
15	35.1	40.9	28.9	99.4	133.1	63.5
16	40.3	48	32	112.5	151	71.4
17	45.9	55.9	35.3	126.9	171.1	79.7
18	51.4	63.6	38.5	141.5	191.9	87.7
19	56	69.8	41.4	155.2	211.6	94.9
20	59.4	74.1	44	166.9	228.5	101.2
21	61.6	76.3	46.2	176.1	241.2	106.5
22	62.9	76.9	48.2	182.4	249.3	111.1
23	63.6	76.4	50.1	186.4	253.1	115.3
24	64.1	75.4	52.1	188.8	254	119.3
25	64.5	74.3	54.1	190.4	253.2	123.3
26	65.1	73.5	56.1	192	252.4	127.6
27	65.9	73.2	58.2	194.3	252.8	132
28	67.2	73.6	60.4	197.6	254.9	136.5
29	68.8	74.7	62.7	202.1	259.1	141.4
30	71	76.5	65.2	207.9	265.5	146.7
31	73.6	79	67.9	215.2	273.9	152.7
32	76.7	82	71	223.5	283.8	159.3
33	80.2	85.7	74.5	232.8	294.9	166.6
34	84.4	89.9	78.6	243	307	174.8
35	89.1	94.8	83.2	254.3	321	183.7
36	94.5	100.5	88.2	266.9	336	193.6
37	100.6	107.2	93.7	280.8	352	204.4
38	107.6	115.1	99.8	296.2	371	216.1
39	115.6	124.6	106.4	313	393	228.9
40	125	135.9	114	332	416	242.9
41	136.2	149.5	122.6	353	442	258.5
42	149.3	165.7	132.7	376	470	275.8
43	164.9	184.9	144.5	401	501	295.4
44	183	207.4	158.2	429	533	317
45	203.5	233.1	173.5	459	569	342
46	226.3	261.7	190.4	492	608	368
47	250.8	292.7	208.2	528	650	398
48	276.5	326	226.9	567	696	430
49	304	361	246.1	610	747	464
50	333	400	266.3	656	802	501
51	365	442	287.9	705	861	540
52	401	490	312	757	924	581
53	443	546	338	813	990	625
54	490	609	368	872	1,061	673
55	542	680	401	936	1,135	724
56	600	759	438	1,003	1,214	780
57	661	841	477	1,076	1,297	842
58	723	926	519	1,154	1,386	911
59	788	1,013	565	1,240	1,480	987
60	856	1,102	614	1,331	1,578	1,072
61	932	1,194	671	1,427	1,678	1,164
62	1,015	1,294	735	1,527	1,780	1,264
63	1,109	1,403	811	1,632	1,883	1,371
64	1,215	1,524	900	1,741	1,986	1,486
65	1,336	1,656	1,001	1,854	2,090	1,610
66	1,471	1,800	1,117	1,971	2,193	1,743
67	1,615	1,952	1,246	2,093	2,297	1,887
68	1,768	2,111	1,385	2,221	2,401	2,041
69	1,929	2,274	1,535	2,353	2,503	2,205
70	2,094	2,439	1,694	2,486	2,602	2,374
71	2,264	2,603	1,861	2,617	2,695	2,545
72	2,433	2,764	2,035	2,740	2,777	2,711
73	2,600	2,920	2,217	2,852	2,846	2,870
74	2,766	3,070	2,408	2,952	2,898	3,020
75	2,935	3,212	2,608	3,037	2,933	3,160
76	3,106	3,345	2,821	3,109	2,947	3,290
77	3,272	3,466	3,044	3,162	2,938	3,410
78	3,427	3,570	3,274	3,198	2,903	3,513
79	3,565	3,653	3,502	3,207	2,839	3,589
80	3,689	3,706	3,714	3,176	2,744	3,623
81	3,787	3,721	3,897	3,100	2,616	3,601
82	3,839	3,692	4,033	2,976	2,458	3,514
83	3,833	3,613	4,112	2,810	2,274	3,366
84	3,773	3,480	4,128	2,610	2,073	3,169
85	3,665	3,294	4,082	2,389	1,860	2,938
86	3,504	3,060	3,978	2,155	1,643	2,688
87	3,291	2,784	3,820	1,916	1,426	2,426
88	3,037	2,477	3,614	1,674	1,211	2,156
89	2,751	2,151	3,362	1,431	1,003	1,877
90	2,441	1,821	3,069	1,190	806	1,590
91	2,115	1,500	2,742	957	625	1,303
92	1,787	1,200	2,392	743	467	1,030
93	1,472	932	2,034	555	336	784
94	1,180	702	1,683	401	233.5	575
95	920	511	1,354	279.8	156.5	409
96	697	361	1,059	189.6	101.6	281.7
97	513	246	803	124.6	63.8	188.2
98	366	161.9	590	79.4	38.8	121.9
99	252.8	102.7	420	48.9	22.8	76.2
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 Myanmar 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 Myanmar: Side-by-Side Comparison

By topic vs comparisons:

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