Life Expectancy in Morocco vs Thailand (1950-2026)

Life expectancy by current age

Chart Table

Morocco

Male

Female

Thailand

Male

Female

1x

Current age, years	Total life expectancy, years
	Morocco			Thailand
	Average	Male	Female	Average	Male	Female
100	101.9	101.7	102	102.9	102.7	103.1
99	101.1	100.8	101.1	102.1	101.8	102.2
98	100.2	99.9	100.3	101.2	101	101.4
97	99.3	99	99.4	100.4	100.2	100.5
96	98.4	98.1	98.6	99.7	99.5	99.8
95	97.6	97.2	97.7	98.9	98.7	99
94	96.8	96.4	96.9	98.2	97.9	98.3
93	95.9	95.5	96.1	97.4	97.2	97.6
92	95.1	94.7	95.3	96.7	96.5	96.9
91	94.3	93.9	94.6	96.1	95.7	96.2
90	93.6	93.1	93.8	95.4	95	95.6
89	92.8	92.3	93.1	94.7	94.3	95
88	92.1	91.5	92.4	94.1	93.7	94.3
87	91.4	90.8	91.7	93.5	93	93.8
86	90.7	90.1	91.1	92.9	92.4	93.2
85	90	89.4	90.5	92.3	91.8	92.7
84	89.4	88.7	89.8	91.8	91.1	92.2
83	88.8	88	89.2	91.2	90.6	91.7
82	88.1	87.4	88.7	90.7	90	91.2
81	87.6	86.8	88.1	90.2	89.4	90.8
80	87	86.2	87.6	89.8	88.9	90.4
79	86.5	85.6	87.1	89.3	88.4	90
78	86	85.1	86.7	88.9	87.9	89.6
77	85.5	84.6	86.3	88.5	87.4	89.3
76	85	84.1	85.9	88.1	86.9	89
75	84.6	83.6	85.5	87.7	86.5	88.7
74	84.2	83.1	85.1	87.4	86.1	88.4
73	83.8	82.7	84.8	87	85.7	88.1
72	83.4	82.2	84.5	86.7	85.3	87.9
71	83	81.8	84.2	86.4	84.9	87.6
70	82.7	81.4	83.9	86.1	84.5	87.4
69	82.4	81.1	83.6	85.8	84.1	87.2
68	82.1	80.7	83.4	85.5	83.8	87
67	81.8	80.4	83.1	85.2	83.4	86.8
66	81.5	80.1	82.9	85	83.1	86.6
65	81.2	79.8	82.7	84.8	82.8	86.5
64	81	79.5	82.5	84.5	82.5	86.3
63	80.8	79.2	82.3	84.3	82.2	86.1
62	80.6	79	82.2	84.1	82	86
61	80.4	78.7	82	83.8	81.7	85.8
60	80.2	78.5	81.9	83.6	81.4	85.7
59	80	78.3	81.8	83.4	81.1	85.5
58	79.8	78.1	81.6	83.2	80.9	85.4
57	79.7	77.9	81.5	83	80.6	85.2
56	79.5	77.7	81.4	82.8	80.3	85.1
55	79.4	77.5	81.3	82.6	80.1	85
54	79.2	77.4	81.2	82.4	79.9	84.8
53	79.1	77.2	81.1	82.2	79.6	84.7
52	79	77.1	81	82	79.4	84.6
51	78.9	77	80.9	81.9	79.1	84.4
50	78.8	76.9	80.8	81.7	78.9	84.3
49	78.7	76.8	80.7	81.5	78.7	84.2
48	78.6	76.7	80.6	81.3	78.5	84.1
47	78.5	76.6	80.6	81.2	78.2	84
46	78.4	76.5	80.5	81	78	83.9
45	78.4	76.4	80.4	80.8	77.8	83.8
44	78.3	76.3	80.4	80.7	77.6	83.7
43	78.3	76.3	80.3	80.5	77.4	83.6
42	78.2	76.2	80.3	80.4	77.2	83.5
41	78.1	76.2	80.2	80.2	77	83.5
40	78.1	76.1	80.2	80.1	76.8	83.4
39	78.1	76.1	80.1	80	76.6	83.3
38	78	76	80.1	79.8	76.4	83.2
37	78	76	80	79.7	76.3	83.2
36	77.9	75.9	80	79.6	76.1	83.1
35	77.9	75.9	80	79.5	76	83.1
34	77.8	75.9	79.9	79.4	75.9	83
33	77.8	75.8	79.9	79.3	75.8	82.9
32	77.8	75.8	79.9	79.3	75.6	82.9
31	77.7	75.8	79.8	79.2	75.5	82.9
30	77.7	75.7	79.8	79.1	75.4	82.8
29	77.7	75.7	79.8	79	75.3	82.8
28	77.6	75.6	79.7	79	75.2	82.7
27	77.6	75.6	79.7	78.9	75.1	82.7
26	77.6	75.6	79.7	78.8	75	82.7
25	77.5	75.5	79.6	78.7	74.9	82.6
24	77.5	75.5	79.6	78.7	74.8	82.6
23	77.5	75.5	79.6	78.6	74.7	82.6
22	77.4	75.4	79.6	78.5	74.7	82.5
21	77.4	75.4	79.5	78.5	74.6	82.5
20	77.4	75.3	79.5	78.4	74.5	82.5
19	77.3	75.3	79.5	78.3	74.3	82.4
18	77.3	75.3	79.4	78.3	74.2	82.4
17	77.3	75.2	79.4	78.2	74.1	82.3
16	77.2	75.2	79.4	78.1	74.1	82.3
15	77.2	75.2	79.4	78.1	74	82.3
14	77.2	75.1	79.4	78	73.9	82.3
13	77.2	75.1	79.4	78	73.9	82.2
12	77.2	75.1	79.3	78	73.9	82.2
11	77.2	75.1	79.3	77.9	73.8	82.2
10	77.1	75.1	79.3	77.9	73.8	82.2
9	77.1	75	79.3	77.9	73.8	82.1
8	77.1	75	79.3	77.9	73.8	82.1
7	77.1	75	79.3	77.9	73.7	82.1
6	77.1	75	79.2	77.8	73.7	82.1
5	77	75	79.2	77.8	73.7	82.1
4	77	74.9	79.2	77.8	73.7	82
3	77	74.9	79.1	77.7	73.6	82
2	76.9	74.8	79.1	77.7	73.6	82
1	76.8	74.8	79	77.7	73.5	81.9
0	75.9	73.7	78.1	77.1	72.9	81.4

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 79.1 in Thailand, rising to 81.2 and 84.8 at 65, and to 87 and 89.8 at 80 — higher than the 75.9 and 77.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Morocco

Male

Female

Thailand

Male

Female

1x

Age	Survival probability
	Morocco			Thailand
	Average	Male	Female	Average	Male	Female
100	0.44%	0.14%	0.78%	3.38%	2.05%	4.79%
99	0.69%	0.25%	1.2%	4.53%	2.77%	6.38%
98	1.06%	0.41%	1.79%	5.9%	3.65%	8.27%
97	1.57%	0.65%	2.59%	7.52%	4.71%	10.5%
96	2.27%	1.02%	3.65%	9.37%	5.96%	13%
95	3.19%	1.53%	5.01%	11.5%	7.39%	15.7%
94	4.37%	2.23%	6.69%	13.8%	9.02%	18.7%
93	5.84%	3.16%	8.72%	16.3%	10.8%	21.9%
92	7.63%	4.36%	11.1%	19%	12.8%	25.4%
91	9.74%	5.86%	13.9%	21.8%	15%	29%
90	12.2%	7.68%	16.9%	24.8%	17.4%	32.7%
89	14.9%	9.83%	20.3%	28%	19.9%	36.4%
88	18%	12.3%	23.9%	31.1%	22.4%	40.2%
87	21.3%	15.1%	27.7%	34.3%	25.1%	43.9%
86	24.8%	18.2%	31.7%	37.5%	27.8%	47.6%
85	28.4%	21.4%	35.8%	40.6%	30.6%	51.1%
84	32.2%	24.9%	39.9%	43.7%	33.4%	54.5%
83	36%	28.5%	44%	46.7%	36.2%	57.6%
82	39.9%	32.2%	48.1%	49.6%	38.9%	60.7%
81	43.7%	36%	52%	52.4%	41.6%	63.5%
80	47.4%	39.7%	55.7%	55%	44.3%	66.1%
79	50.9%	43.3%	59.2%	57.5%	46.9%	68.6%
78	54.3%	46.9%	62.4%	59.9%	49.4%	70.8%
77	57.6%	50.3%	65.5%	62.2%	51.8%	72.9%
76	60.7%	53.7%	68.3%	64.3%	54.1%	74.8%
75	63.7%	56.9%	70.9%	66.2%	56.3%	76.5%
74	66.4%	60%	73.3%	68%	58.3%	78%
73	69%	62.9%	75.5%	69.7%	60.3%	79.4%
72	71.5%	65.7%	77.6%	71.3%	62.2%	80.7%
71	73.7%	68.3%	79.4%	72.9%	64%	81.9%
70	75.8%	70.7%	81.1%	74.3%	65.8%	83.1%
69	77.7%	73%	82.7%	75.6%	67.4%	84.1%
68	79.5%	75.1%	84.1%	76.9%	69%	85%
67	81.1%	77%	85.3%	78%	70.4%	85.8%
66	82.6%	78.8%	86.4%	79%	71.7%	86.6%
65	83.9%	80.5%	87.4%	80%	72.9%	87.3%
64	85.1%	82%	88.3%	81%	74.1%	87.9%
63	86.3%	83.4%	89.1%	81.9%	75.3%	88.6%
62	87.3%	84.7%	89.9%	82.7%	76.4%	89.1%
61	88.2%	85.9%	90.5%	83.5%	77.5%	89.7%
60	89.1%	87%	91.1%	84.3%	78.5%	90.3%
59	89.8%	88%	91.7%	85.1%	79.5%	90.8%
58	90.6%	88.9%	92.2%	85.8%	80.4%	91.3%
57	91.2%	89.8%	92.7%	86.5%	81.3%	91.7%
56	91.8%	90.5%	93.1%	87.1%	82.2%	92.2%
55	92.4%	91.2%	93.5%	87.7%	83%	92.6%
54	92.9%	91.8%	93.9%	88.3%	83.8%	93%
53	93.3%	92.4%	94.3%	88.9%	84.6%	93.4%
52	93.7%	92.9%	94.6%	89.5%	85.3%	93.8%
51	94.1%	93.3%	94.9%	90%	86.1%	94.1%
50	94.4%	93.7%	95.1%	90.5%	86.8%	94.4%
49	94.7%	94.1%	95.4%	91%	87.4%	94.7%
48	95%	94.4%	95.6%	91.5%	88.1%	95%
47	95.2%	94.7%	95.8%	91.9%	88.7%	95.3%
46	95.5%	95%	96%	92.4%	89.4%	95.6%
45	95.7%	95.2%	96.2%	92.8%	90%	95.8%
44	95.8%	95.4%	96.3%	93.2%	90.5%	96%
43	96%	95.6%	96.5%	93.6%	91.1%	96.2%
42	96.2%	95.7%	96.6%	94%	91.6%	96.4%
41	96.3%	95.9%	96.7%	94.3%	92.1%	96.6%
40	96.4%	96%	96.8%	94.7%	92.6%	96.8%
39	96.5%	96.2%	96.9%	95%	93.1%	97%
38	96.6%	96.3%	97%	95.2%	93.5%	97.1%
37	96.7%	96.4%	97.1%	95.5%	93.8%	97.2%
36	96.8%	96.5%	97.2%	95.7%	94.2%	97.4%
35	96.9%	96.6%	97.3%	96%	94.5%	97.5%
34	97%	96.7%	97.4%	96.2%	94.8%	97.6%
33	97.1%	96.8%	97.5%	96.3%	95.1%	97.7%
32	97.2%	96.8%	97.5%	96.5%	95.3%	97.8%
31	97.2%	96.9%	97.6%	96.7%	95.6%	97.9%
30	97.3%	97%	97.7%	96.8%	95.8%	97.9%
29	97.4%	97.1%	97.7%	97%	96%	98%
28	97.5%	97.1%	97.8%	97.1%	96.2%	98.1%
27	97.5%	97.2%	97.8%	97.3%	96.4%	98.2%
26	97.6%	97.3%	97.9%	97.4%	96.6%	98.2%
25	97.6%	97.4%	98%	97.5%	96.8%	98.3%
24	97.7%	97.4%	98%	97.6%	97%	98.3%
23	97.8%	97.5%	98.1%	97.7%	97.1%	98.4%
22	97.8%	97.6%	98.1%	97.9%	97.3%	98.5%
21	97.9%	97.7%	98.2%	98%	97.5%	98.5%
20	98%	97.7%	98.2%	98.1%	97.7%	98.6%
19	98%	97.8%	98.2%	98.2%	97.9%	98.6%
18	98.1%	97.9%	98.3%	98.4%	98.1%	98.7%
17	98.1%	97.9%	98.3%	98.5%	98.2%	98.7%
16	98.2%	98%	98.3%	98.6%	98.4%	98.8%
15	98.2%	98%	98.4%	98.6%	98.5%	98.8%
14	98.2%	98.1%	98.4%	98.7%	98.6%	98.9%
13	98.2%	98.1%	98.4%	98.8%	98.6%	98.9%
12	98.3%	98.1%	98.4%	98.8%	98.7%	98.9%
11	98.3%	98.1%	98.5%	98.8%	98.7%	99%
10	98.3%	98.2%	98.5%	98.9%	98.8%	99%
9	98.3%	98.2%	98.5%	98.9%	98.8%	99%
8	98.4%	98.2%	98.5%	98.9%	98.8%	99.1%
7	98.4%	98.3%	98.6%	99%	98.9%	99.1%
6	98.4%	98.3%	98.6%	99%	98.9%	99.1%
5	98.5%	98.3%	98.6%	99%	98.9%	99.1%
4	98.5%	98.4%	98.7%	99.1%	99%	99.2%
3	98.6%	98.4%	98.7%	99.1%	99%	99.2%
2	98.6%	98.5%	98.8%	99.2%	99.1%	99.3%
1	98.7%	98.6%	98.9%	99.2%	99.2%	99.3%

This chart shows the odds of living to each age from birth. 89.1% of newborns in Morocco and 84.3% in Thailand are expected to live past 60, 75.8% and 74.3% past 70, 47.4% and 55% past 80, and only 12.2% and 24.8% 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

Thailand

Male

Female

1x

Age	Probability of dying
	Morocco			Thailand
	Average	Male	Female	Average	Male	Female
100	38.4%	43.7%	37%	26.9%	27.5%	26.6%
99	36.5%	41.6%	35%	25.3%	26%	24.9%
98	34.6%	39.6%	33%	23.3%	24.2%	22.9%
97	32.6%	37.6%	31%	21.5%	22.5%	21%
96	30.7%	35.5%	29%	19.8%	20.9%	19.2%
95	28.8%	33.5%	27%	18.2%	19.4%	17.5%
94	27%	31.5%	25.2%	16.7%	18%	16%
93	25.2%	29.5%	23.3%	15.4%	16.8%	14.7%
92	23.4%	27.5%	21.5%	14.3%	15.7%	13.5%
91	21.7%	25.6%	19.8%	13.2%	14.6%	12.4%
90	20%	23.7%	18.1%	12.1%	13.5%	11.3%
89	18.4%	21.9%	16.6%	11.1%	12.5%	10.3%
88	16.9%	20.1%	15.1%	10.2%	11.5%	9.39%
87	15.5%	18.4%	13.8%	9.3%	10.6%	8.49%
86	14.1%	16.9%	12.5%	8.48%	9.79%	7.66%
85	12.9%	15.4%	11.4%	7.72%	9.03%	6.89%
84	11.7%	14%	10.3%	7.03%	8.32%	6.18%
83	10.6%	12.7%	9.34%	6.39%	7.67%	5.54%
82	9.63%	11.5%	8.39%	5.83%	7.08%	4.97%
81	8.67%	10.4%	7.5%	5.31%	6.53%	4.46%
80	7.79%	9.34%	6.67%	4.83%	6.02%	3.99%
79	7%	8.43%	5.92%	4.39%	5.53%	3.57%
78	6.31%	7.62%	5.24%	3.99%	5.07%	3.18%
77	5.68%	6.88%	4.65%	3.6%	4.64%	2.83%
76	5.11%	6.23%	4.13%	3.25%	4.23%	2.51%
75	4.61%	5.64%	3.68%	2.94%	3.86%	2.23%
74	4.16%	5.12%	3.28%	2.67%	3.54%	1.98%
73	3.77%	4.64%	2.94%	2.44%	3.27%	1.78%
72	3.4%	4.21%	2.62%	2.25%	3.04%	1.62%
71	3.07%	3.81%	2.34%	2.09%	2.84%	1.47%
70	2.76%	3.45%	2.09%	1.94%	2.66%	1.35%
69	2.48%	3.12%	1.86%	1.79%	2.47%	1.22%
68	2.22%	2.81%	1.65%	1.62%	2.26%	1.09%
67	1.99%	2.53%	1.46%	1.45%	2.03%	0.96%
66	1.78%	2.28%	1.29%	1.29%	1.82%	0.85%
65	1.59%	2.06%	1.15%	1.21%	1.7%	0.79%
64	1.43%	1.86%	1.02%	1.16%	1.62%	0.75%
63	1.29%	1.68%	0.91%	1.1%	1.54%	0.71%
62	1.16%	1.53%	0.82%	1.03%	1.45%	0.67%
61	1.06%	1.39%	0.74%	0.98%	1.37%	0.63%
60	0.96%	1.27%	0.67%	0.93%	1.3%	0.6%
59	0.88%	1.15%	0.62%	0.88%	1.23%	0.57%
58	0.8%	1.04%	0.56%	0.83%	1.17%	0.54%
57	0.72%	0.94%	0.51%	0.79%	1.11%	0.51%
56	0.65%	0.84%	0.47%	0.75%	1.05%	0.48%
55	0.59%	0.75%	0.43%	0.71%	1%	0.46%
54	0.53%	0.66%	0.39%	0.68%	0.95%	0.44%
53	0.47%	0.59%	0.36%	0.65%	0.91%	0.41%
52	0.43%	0.53%	0.33%	0.62%	0.88%	0.39%
51	0.39%	0.47%	0.3%	0.6%	0.84%	0.37%
50	0.35%	0.43%	0.28%	0.57%	0.81%	0.35%
49	0.32%	0.38%	0.26%	0.54%	0.78%	0.32%
48	0.29%	0.35%	0.24%	0.52%	0.74%	0.3%
47	0.26%	0.31%	0.22%	0.49%	0.72%	0.28%
46	0.24%	0.28%	0.2%	0.47%	0.69%	0.27%
45	0.21%	0.24%	0.18%	0.45%	0.67%	0.25%
44	0.19%	0.22%	0.16%	0.44%	0.64%	0.23%
43	0.17%	0.19%	0.15%	0.42%	0.62%	0.22%
42	0.16%	0.17%	0.14%	0.39%	0.59%	0.21%
41	0.14%	0.16%	0.13%	0.37%	0.55%	0.19%
40	0.13%	0.14%	0.12%	0.35%	0.52%	0.18%
39	0.12%	0.13%	0.11%	0.32%	0.48%	0.17%
38	0.11%	0.12%	0.1%	0.3%	0.44%	0.16%
37	0.1%	0.11%	0.1%	0.27%	0.4%	0.14%
36	0.1%	0.1%	0.09%	0.25%	0.36%	0.13%
35	0.09%	0.1%	0.09%	0.23%	0.33%	0.12%
34	0.09%	0.09%	0.08%	0.21%	0.3%	0.11%
33	0.08%	0.09%	0.08%	0.19%	0.28%	0.1%
32	0.08%	0.08%	0.07%	0.18%	0.26%	0.09%
31	0.08%	0.08%	0.07%	0.17%	0.25%	0.08%
30	0.07%	0.08%	0.07%	0.16%	0.24%	0.08%
29	0.07%	0.08%	0.06%	0.15%	0.23%	0.08%
28	0.07%	0.08%	0.06%	0.15%	0.22%	0.07%
27	0.07%	0.08%	0.06%	0.14%	0.21%	0.07%
26	0.07%	0.08%	0.06%	0.13%	0.2%	0.07%
25	0.07%	0.08%	0.06%	0.13%	0.19%	0.06%
24	0.07%	0.08%	0.05%	0.12%	0.18%	0.06%
23	0.07%	0.08%	0.05%	0.12%	0.18%	0.06%
22	0.06%	0.08%	0.05%	0.12%	0.18%	0.06%
21	0.06%	0.08%	0.05%	0.12%	0.19%	0.06%
20	0.06%	0.08%	0.04%	0.13%	0.19%	0.06%
19	0.06%	0.07%	0.04%	0.13%	0.2%	0.06%
18	0.05%	0.06%	0.04%	0.12%	0.19%	0.06%
17	0.05%	0.06%	0.04%	0.11%	0.17%	0.05%
16	0.04%	0.05%	0.03%	0.1%	0.14%	0.05%
15	0.04%	0.04%	0.03%	0.08%	0.11%	0.05%
14	0.03%	0.04%	0.03%	0.07%	0.09%	0.04%
13	0.03%	0.03%	0.02%	0.05%	0.07%	0.04%
12	0.03%	0.03%	0.02%	0.04%	0.05%	0.03%
11	0.03%	0.03%	0.02%	0.04%	0.05%	0.03%
10	0.03%	0.03%	0.02%	0.03%	0.04%	0.03%
9	0.03%	0.03%	0.02%	0.03%	0.04%	0.03%
8	0.03%	0.03%	0.03%	0.03%	0.04%	0.02%
7	0.03%	0.03%	0.03%	0.03%	0.04%	0.03%
6	0.03%	0.04%	0.03%	0.03%	0.04%	0.03%
5	0.04%	0.04%	0.04%	0.04%	0.04%	0.03%
4	0.05%	0.05%	0.04%	0.04%	0.04%	0.04%
3	0.05%	0.05%	0.05%	0.05%	0.05%	0.04%
2	0.06%	0.06%	0.07%	0.05%	0.05%	0.05%
1	0.08%	0.07%	0.09%	0.06%	0.06%	0.07%
0	1.28%	1.44%	1.12%	0.76%	0.84%	0.67%

This chart displays the probability of dying at any given age in Morocco compared to Thailand, as mortality rates vary throughout a lifetime.

The annual chance of dying is 1.28% in the birth year in Morocco and 0.76% in Thailand, 0.07% vs 0.16% at age 30, 0.96% vs 0.93% at 60, and 7.79% vs 4.83% at 80.

Death rate by age in Morocco vs Thailand

Chart Table

Morocco

Male

Female

Thailand

Male

Female

1x

Age	Death rate
	Morocco			Thailand
	Total	Male	Female	Total	Male	Female
100	50.1	0	144.3	906	530	1,303
99	252.8	102.7	420	1,143	719	1,589
98	366	161.9	590	1,374	882	1,890
97	513	246	803	1,615	1,060	2,196
96	697	361	1,059	1,855	1,247	2,491
95	920	511	1,354	2,082	1,435	2,757
94	1,180	702	1,683	2,298	1,626	2,999
93	1,472	932	2,034	2,505	1,819	3,222
92	1,787	1,200	2,392	2,704	2,011	3,427
91	2,115	1,500	2,742	2,878	2,190	3,596
90	2,441	1,821	3,069	3,009	2,344	3,702
89	2,751	2,151	3,362	3,107	2,476	3,762
88	3,037	2,477	3,614	3,171	2,586	3,775
87	3,291	2,784	3,820	3,193	2,668	3,731
86	3,504	3,060	3,978	3,180	2,726	3,642
85	3,665	3,294	4,082	3,139	2,763	3,517
84	3,773	3,480	4,128	3,072	2,778	3,364
83	3,833	3,613	4,112	2,986	2,775	3,193
82	3,839	3,692	4,033	2,888	2,755	3,014
81	3,787	3,721	3,897	2,779	2,719	2,829
80	3,689	3,706	3,714	2,658	2,666	2,639
79	3,565	3,653	3,502	2,529	2,595	2,448
78	3,427	3,570	3,274	2,389	2,506	2,253
77	3,272	3,466	3,044	2,240	2,402	2,060
76	3,106	3,345	2,821	2,090	2,289	1,874
75	2,935	3,212	2,608	1,946	2,174	1,701
74	2,766	3,070	2,408	1,815	2,067	1,548
73	2,600	2,920	2,217	1,702	1,973	1,416
72	2,433	2,764	2,035	1,605	1,892	1,304
71	2,264	2,603	1,861	1,520	1,820	1,207
70	2,094	2,439	1,694	1,439	1,748	1,117
69	1,929	2,274	1,535	1,352	1,664	1,027
68	1,768	2,111	1,385	1,249	1,556	929
67	1,615	1,952	1,246	1,133	1,427	826
66	1,471	1,800	1,117	1,023	1,302	734
65	1,336	1,656	1,001	967	1,237	687
64	1,215	1,524	900	937	1,204	663
63	1,109	1,403	811	897	1,156	630
62	1,015	1,294	735	852	1,105	595
61	932	1,194	671	818	1,065	569
60	856	1,102	614	782	1,023	541
59	788	1,013	565	747	979	514
58	723	926	519	716	941	490
57	661	841	477	686	904	468
56	600	759	438	656	867	446
55	542	680	401	627	829	425
54	490	609	368	601	797	405
53	443	546	338	580	773	386
52	401	490	312	559	751	367
51	365	442	287.9	537	727	347
50	333	400	266.3	515	702	327
49	304	361	246.1	494	678	307
48	276.5	326	226.9	474	656	288.2
47	250.8	292.7	208.2	455	636	270.1
46	226.3	261.7	190.4	438	617	253.3
45	203.5	233.1	173.5	422	600	238
44	183	207.4	158.2	406	582	224
43	164.9	184.9	144.5	389	561	211
42	149.3	165.7	132.7	370	537	198.9
41	136.2	149.5	122.6	350	509	187.4
40	125	135.9	114	329	477	175.9
39	115.6	124.6	106.4	307	444	164.3
38	107.6	115.1	99.8	283	409	152.4
37	100.6	107.2	93.7	259.7	375	140.2
36	94.5	100.5	88.2	237.3	342	128
35	89.1	94.8	83.2	216.6	313	116.5
34	84.4	89.9	78.6	198.7	288.3	106
33	80.2	85.7	74.5	183.9	267.9	96.9
32	76.7	82	71	172.3	252	89.3
31	73.6	79	67.9	163.2	239.6	83.1
30	71	76.5	65.2	155.8	229.6	78
29	68.8	74.7	62.7	149.3	220.5	73.8
28	67.2	73.6	60.4	142.7	210.9	70.1
27	65.9	73.2	58.2	136	200.7	66.8
26	65.1	73.5	56.1	129.3	190.3	63.8
25	64.5	74.3	54.1	123.1	181	61.3
24	64.1	75.4	52.1	118.6	174.6	59.2
23	63.6	76.4	50.1	116.8	172.5	57.8
22	62.9	76.9	48.2	117.6	175	57.1
21	61.6	76.3	46.2	120.7	181.2	57
20	59.4	74.1	44	124.3	188	57.1
19	56	69.8	41.4	125.9	191.1	56.9
18	51.4	63.6	38.5	122.2	184.7	56
17	45.9	55.9	35.3	112.5	167.5	54.1
16	40.3	48	32	97.5	141.4	50.9
15	35.1	40.9	28.9	80.9	113.1	46.8
14	30.8	35.1	26.3	65.5	87.5	42.1
13	27.7	31	24.3	53.1	67.8	37.5
12	25.7	28.4	22.9	43.9	53.9	33.2
11	24.8	27.2	22.3	37.4	44.7	29.7
10	24.9	27.3	22.3	33.3	39.2	27.1
9	25.9	28.5	23.1	31	36.2	25.4
8	27.7	30.5	24.7	29.9	34.8	24.6
7	30.3	33.5	27	30.1	34.9	25
6	33.9	37.1	30.5	31.6	36.3	26.6
5	38.6	41.5	35.6	34.7	39.1	30
4	44.6	46.5	42.6	39.3	43.1	35.2
3	52.3	52.3	52.3	45.5	48.1	42.6
2	62.7	59.6	65.9	53.4	54.3	52.5
1	78.7	70.8	86.9	63.5	61.6	65.5
0	1,282	1,435	1,121	761	845	672

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 87 in Thailand. The median age of death is 79.3 in Morocco and 81.8 in Thailand, 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 Thailand more than their death rates.

Life expectancy in other countries

+ -

1x