Life Expectancy in Morocco vs Myanmar (1950-2026)

Life expectancy by current age

Chart Table

Morocco

Male

Female

Myanmar

Male

Female

1x

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

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 Morocco can expect to live to 77.7 years compared to 72.1 in Myanmar, rising to 81.2 and 78.5 at 65, and to 87 and 85.7 at 80 — higher than the 75.9 and 67.5 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Morocco and Myanmar.

Probability of surviving to a given age

Chart Table

Morocco

Male

Female

Myanmar

Male

Female

1x

Age	Survival probability
	Morocco			Myanmar
	Average	Male	Female	Average	Male	Female
100	0.44%	0.14%	0.78%	0.06%	0.03%	0.1%
99	0.69%	0.25%	1.2%	0.11%	0.05%	0.18%
98	1.06%	0.41%	1.79%	0.19%	0.09%	0.3%
97	1.57%	0.65%	2.59%	0.32%	0.15%	0.49%
96	2.27%	1.02%	3.65%	0.51%	0.25%	0.77%
95	3.19%	1.53%	5.01%	0.79%	0.41%	1.18%
94	4.37%	2.23%	6.69%	1.19%	0.64%	1.76%
93	5.84%	3.16%	8.72%	1.74%	0.98%	2.54%
92	7.63%	4.36%	11.1%	2.49%	1.45%	3.57%
91	9.74%	5.86%	13.9%	3.44%	2.07%	4.87%
90	12.2%	7.68%	16.9%	4.63%	2.88%	6.46%
89	14.9%	9.83%	20.3%	6.06%	3.88%	8.34%
88	18%	12.3%	23.9%	7.74%	5.09%	10.5%
87	21.3%	15.1%	27.7%	9.65%	6.52%	12.9%
86	24.8%	18.2%	31.7%	11.8%	8.16%	15.6%
85	28.4%	21.4%	35.8%	14.2%	10%	18.5%
84	32.2%	24.9%	39.9%	16.8%	12.1%	21.7%
83	36%	28.5%	44%	19.6%	14.4%	25.1%
82	39.9%	32.2%	48.1%	22.6%	16.8%	28.6%
81	43.7%	36%	52%	25.7%	19.4%	32.2%
80	47.4%	39.7%	55.7%	28.9%	22.2%	35.8%
79	50.9%	43.3%	59.2%	32.1%	25%	39.4%
78	54.3%	46.9%	62.4%	35.3%	27.9%	42.9%
77	57.6%	50.3%	65.5%	38.4%	30.9%	46.3%
76	60.7%	53.7%	68.3%	41.5%	33.8%	49.6%
75	63.7%	56.9%	70.9%	44.6%	36.7%	52.8%
74	66.4%	60%	73.3%	47.5%	39.6%	55.8%
73	69%	62.9%	75.5%	50.4%	42.5%	58.7%
72	71.5%	65.7%	77.6%	53.1%	45.3%	61.4%
71	73.7%	68.3%	79.4%	55.7%	48%	63.9%
70	75.8%	70.7%	81.1%	58.2%	50.6%	66.3%
69	77.7%	73%	82.7%	60.6%	53.1%	68.5%
68	79.5%	75.1%	84.1%	62.8%	55.5%	70.5%
67	81.1%	77%	85.3%	64.9%	57.8%	72.4%
66	82.6%	78.8%	86.4%	66.9%	60%	74.2%
65	83.9%	80.5%	87.4%	68.7%	62%	75.8%
64	85.1%	82%	88.3%	70.5%	64%	77.3%
63	86.3%	83.4%	89.1%	72.1%	65.9%	78.6%
62	87.3%	84.7%	89.9%	73.6%	67.7%	79.9%
61	88.2%	85.9%	90.5%	75%	69.4%	81.1%
60	89.1%	87%	91.1%	76.4%	71%	82.1%
59	89.8%	88%	91.7%	77.6%	72.4%	83.1%
58	90.6%	88.9%	92.2%	78.8%	73.8%	84%
57	91.2%	89.8%	92.7%	79.9%	75.1%	84.9%
56	91.8%	90.5%	93.1%	80.9%	76.3%	85.7%
55	92.4%	91.2%	93.5%	81.8%	77.5%	86.4%
54	92.9%	91.8%	93.9%	82.7%	78.5%	87.1%
53	93.3%	92.4%	94.3%	83.5%	79.5%	87.7%
52	93.7%	92.9%	94.6%	84.2%	80.4%	88.3%
51	94.1%	93.3%	94.9%	84.9%	81.3%	88.8%
50	94.4%	93.7%	95.1%	85.6%	82.1%	89.3%
49	94.7%	94.1%	95.4%	86.2%	82.9%	89.8%
48	95%	94.4%	95.6%	86.8%	83.5%	90.2%
47	95.2%	94.7%	95.8%	87.3%	84.2%	90.6%
46	95.5%	95%	96%	87.8%	84.8%	91%
45	95.7%	95.2%	96.2%	88.2%	85.4%	91.3%
44	95.8%	95.4%	96.3%	88.7%	85.9%	91.6%
43	96%	95.6%	96.5%	89.1%	86.4%	91.9%
42	96.2%	95.7%	96.6%	89.5%	86.9%	92.2%
41	96.3%	95.9%	96.7%	89.8%	87.3%	92.5%
40	96.4%	96%	96.8%	90.1%	87.7%	92.7%
39	96.5%	96.2%	96.9%	90.5%	88.1%	92.9%
38	96.6%	96.3%	97%	90.7%	88.5%	93.1%
37	96.7%	96.4%	97.1%	91%	88.9%	93.4%
36	96.8%	96.5%	97.2%	91.3%	89.2%	93.5%
35	96.9%	96.6%	97.3%	91.6%	89.5%	93.7%
34	97%	96.7%	97.4%	91.8%	89.8%	93.9%
33	97.1%	96.8%	97.5%	92%	90.1%	94.1%
32	97.2%	96.8%	97.5%	92.3%	90.4%	94.2%
31	97.2%	96.9%	97.6%	92.5%	90.7%	94.4%
30	97.3%	97%	97.7%	92.7%	90.9%	94.5%
29	97.4%	97.1%	97.7%	92.9%	91.2%	94.7%
28	97.5%	97.1%	97.8%	93.1%	91.4%	94.8%
27	97.5%	97.2%	97.8%	93.3%	91.7%	94.9%
26	97.6%	97.3%	97.9%	93.5%	92%	95.1%
25	97.6%	97.4%	98%	93.6%	92.2%	95.2%
24	97.7%	97.4%	98%	93.8%	92.5%	95.3%
23	97.8%	97.5%	98.1%	94%	92.7%	95.4%
22	97.8%	97.6%	98.1%	94.2%	93%	95.5%
21	97.9%	97.7%	98.2%	94.4%	93.2%	95.6%
20	98%	97.7%	98.2%	94.6%	93.4%	95.7%
19	98%	97.8%	98.2%	94.7%	93.6%	95.8%
18	98.1%	97.9%	98.3%	94.8%	93.8%	95.9%
17	98.1%	97.9%	98.3%	95%	94%	96%
16	98.2%	98%	98.3%	95.1%	94.2%	96.1%
15	98.2%	98%	98.4%	95.2%	94.3%	96.1%
14	98.2%	98.1%	98.4%	95.3%	94.4%	96.2%
13	98.2%	98.1%	98.4%	95.4%	94.5%	96.2%
12	98.3%	98.1%	98.4%	95.4%	94.6%	96.3%
11	98.3%	98.1%	98.5%	95.5%	94.7%	96.3%
10	98.3%	98.2%	98.5%	95.6%	94.8%	96.4%
9	98.3%	98.2%	98.5%	95.7%	94.9%	96.4%
8	98.4%	98.2%	98.5%	95.7%	95%	96.5%
7	98.4%	98.3%	98.6%	95.8%	95.2%	96.5%
6	98.4%	98.3%	98.6%	95.9%	95.3%	96.6%
5	98.5%	98.3%	98.6%	96.1%	95.5%	96.7%
4	98.5%	98.4%	98.7%	96.2%	95.7%	96.8%
3	98.6%	98.4%	98.7%	96.4%	95.9%	96.9%
2	98.6%	98.5%	98.8%	96.6%	96.1%	97.1%
1	98.7%	98.6%	98.9%	96.8%	96.3%	97.4%

This chart shows the odds of living to each age from birth. 89.1% of newborns in Morocco and 76.4% in Myanmar are expected to live past 60, 75.8% and 58.2% past 70, 47.4% and 28.9% past 80, and only 12.2% and 4.63% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Morocco

Male

Female

Myanmar

Male

Female

1x

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

This chart displays the probability of dying at any given age in Morocco compared to Myanmar, as 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.

Death rate by age in Morocco vs Myanmar

Chart Table

Morocco

Male

Female

Myanmar

Male

Female

1x

Age	Death rate
	Morocco			Myanmar
	Total	Male	Female	Total	Male	Female
100	50.1	0	144.3	0	0	0
99	252.8	102.7	420	48.9	22.8	76.2
98	366	161.9	590	79.4	38.8	121.9
97	513	246	803	124.6	63.8	188.2
96	697	361	1,059	189.6	101.6	281.7
95	920	511	1,354	279.8	156.5	409
94	1,180	702	1,683	401	233.5	575
93	1,472	932	2,034	555	336	784
92	1,787	1,200	2,392	743	467	1,030
91	2,115	1,500	2,742	957	625	1,303
90	2,441	1,821	3,069	1,190	806	1,590
89	2,751	2,151	3,362	1,431	1,003	1,877
88	3,037	2,477	3,614	1,674	1,211	2,156
87	3,291	2,784	3,820	1,916	1,426	2,426
86	3,504	3,060	3,978	2,155	1,643	2,688
85	3,665	3,294	4,082	2,389	1,860	2,938
84	3,773	3,480	4,128	2,610	2,073	3,169
83	3,833	3,613	4,112	2,810	2,274	3,366
82	3,839	3,692	4,033	2,976	2,458	3,514
81	3,787	3,721	3,897	3,100	2,616	3,601
80	3,689	3,706	3,714	3,176	2,744	3,623
79	3,565	3,653	3,502	3,207	2,839	3,589
78	3,427	3,570	3,274	3,198	2,903	3,513
77	3,272	3,466	3,044	3,162	2,938	3,410
76	3,106	3,345	2,821	3,109	2,947	3,290
75	2,935	3,212	2,608	3,037	2,933	3,160
74	2,766	3,070	2,408	2,952	2,898	3,020
73	2,600	2,920	2,217	2,852	2,846	2,870
72	2,433	2,764	2,035	2,740	2,777	2,711
71	2,264	2,603	1,861	2,617	2,695	2,545
70	2,094	2,439	1,694	2,486	2,602	2,374
69	1,929	2,274	1,535	2,353	2,503	2,205
68	1,768	2,111	1,385	2,221	2,401	2,041
67	1,615	1,952	1,246	2,093	2,297	1,887
66	1,471	1,800	1,117	1,971	2,193	1,743
65	1,336	1,656	1,001	1,854	2,090	1,610
64	1,215	1,524	900	1,741	1,986	1,486
63	1,109	1,403	811	1,632	1,883	1,371
62	1,015	1,294	735	1,527	1,780	1,264
61	932	1,194	671	1,427	1,678	1,164
60	856	1,102	614	1,331	1,578	1,072
59	788	1,013	565	1,240	1,480	987
58	723	926	519	1,154	1,386	911
57	661	841	477	1,076	1,297	842
56	600	759	438	1,003	1,214	780
55	542	680	401	936	1,135	724
54	490	609	368	872	1,061	673
53	443	546	338	813	990	625
52	401	490	312	757	924	581
51	365	442	287.9	705	861	540
50	333	400	266.3	656	802	501
49	304	361	246.1	610	747	464
48	276.5	326	226.9	567	696	430
47	250.8	292.7	208.2	528	650	398
46	226.3	261.7	190.4	492	608	368
45	203.5	233.1	173.5	459	569	342
44	183	207.4	158.2	429	533	317
43	164.9	184.9	144.5	401	501	295.4
42	149.3	165.7	132.7	376	470	275.8
41	136.2	149.5	122.6	353	442	258.5
40	125	135.9	114	332	416	242.9
39	115.6	124.6	106.4	313	393	228.9
38	107.6	115.1	99.8	296.2	371	216.1
37	100.6	107.2	93.7	280.8	352	204.4
36	94.5	100.5	88.2	266.9	336	193.6
35	89.1	94.8	83.2	254.3	321	183.7
34	84.4	89.9	78.6	243	307	174.8
33	80.2	85.7	74.5	232.8	294.9	166.6
32	76.7	82	71	223.5	283.8	159.3
31	73.6	79	67.9	215.2	273.9	152.7
30	71	76.5	65.2	207.9	265.5	146.7
29	68.8	74.7	62.7	202.1	259.1	141.4
28	67.2	73.6	60.4	197.6	254.9	136.5
27	65.9	73.2	58.2	194.3	252.8	132
26	65.1	73.5	56.1	192	252.4	127.6
25	64.5	74.3	54.1	190.4	253.2	123.3
24	64.1	75.4	52.1	188.8	254	119.3
23	63.6	76.4	50.1	186.4	253.1	115.3
22	62.9	76.9	48.2	182.4	249.3	111.1
21	61.6	76.3	46.2	176.1	241.2	106.5
20	59.4	74.1	44	166.9	228.5	101.2
19	56	69.8	41.4	155.2	211.6	94.9
18	51.4	63.6	38.5	141.5	191.9	87.7
17	45.9	55.9	35.3	126.9	171.1	79.7
16	40.3	48	32	112.5	151	71.4
15	35.1	40.9	28.9	99.4	133.1	63.5
14	30.8	35.1	26.3	88.7	118.8	56.6
13	27.7	31	24.3	80.8	108.5	51.1
12	25.7	28.4	22.9	75.8	102.5	47.2
11	24.8	27.2	22.3	73.9	100.8	45.1
10	24.9	27.3	22.3	74.7	102.7	44.8
9	25.9	28.5	23.1	78.4	108.2	46.5
8	27.7	30.5	24.7	84.8	116.9	50.5
7	30.3	33.5	27	94.1	128.4	57.4
6	33.9	37.1	30.5	106.6	142.5	68.2
5	38.6	41.5	35.6	122.9	158.9	84.2
4	44.6	46.5	42.6	143.8	177.8	107.5
3	52.3	52.3	52.3	170.7	199.2	140.2
2	62.7	59.6	65.9	205.2	223.4	185.7
1	78.7	70.8	86.9	249.9	251.4	248.2
0	1,282	1,435	1,121	3,164	3,669	2,626

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 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, 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 Morocco and Myanmar more than their death rates.

Life expectancy in other countries

+ -

1x