Life Expectancy in Mauritania vs Thailand (1950-2026)

Life expectancy by current age

Chart Table

Mauritania

Male

Female

Thailand

Male

Female

1x

Current age, years	Total life expectancy, years
	Mauritania			Thailand
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102.9	102.7	103.1
99	100.9	100.8	101	102.1	101.8	102.2
98	100	99.9	100.1	101.2	101	101.4
97	99.1	99	99.2	100.4	100.2	100.5
96	98.2	98.1	98.3	99.7	99.5	99.8
95	97.4	97.2	97.4	98.9	98.7	99
94	96.5	96.3	96.6	98.2	97.9	98.3
93	95.6	95.5	95.7	97.4	97.2	97.6
92	94.8	94.6	94.9	96.7	96.5	96.9
91	94	93.8	94.1	96.1	95.7	96.2
90	93.2	92.9	93.3	95.4	95	95.6
89	92.3	92.1	92.5	94.7	94.3	95
88	91.6	91.3	91.7	94.1	93.7	94.3
87	90.8	90.5	91	93.5	93	93.8
86	90	89.7	90.2	92.9	92.4	93.2
85	89.3	89	89.5	92.3	91.8	92.7
84	88.6	88.2	88.8	91.8	91.1	92.2
83	87.9	87.5	88.1	91.2	90.6	91.7
82	87.2	86.8	87.5	90.7	90	91.2
81	86.5	86.1	86.9	90.2	89.4	90.8
80	85.9	85.5	86.2	89.8	88.9	90.4
79	85.3	84.8	85.6	89.3	88.4	90
78	84.7	84.2	85.1	88.9	87.9	89.6
77	84.1	83.6	84.5	88.5	87.4	89.3
76	83.5	83	84	88.1	86.9	89
75	83	82.4	83.5	87.7	86.5	88.7
74	82.5	81.8	83	87.4	86.1	88.4
73	82	81.3	82.6	87	85.7	88.1
72	81.5	80.7	82.1	86.7	85.3	87.9
71	81	80.2	81.7	86.4	84.9	87.6
70	80.6	79.8	81.3	86.1	84.5	87.4
69	80.2	79.3	81	85.8	84.1	87.2
68	79.8	78.8	80.6	85.5	83.8	87
67	79.4	78.4	80.3	85.2	83.4	86.8
66	79	78	80	85	83.1	86.6
65	78.7	77.6	79.7	84.8	82.8	86.5
64	78.3	77.2	79.4	84.5	82.5	86.3
63	78	76.8	79.1	84.3	82.2	86.1
62	77.7	76.5	78.9	84.1	82	86
61	77.4	76.2	78.6	83.8	81.7	85.8
60	77.1	75.9	78.4	83.6	81.4	85.7
59	76.9	75.6	78.2	83.4	81.1	85.5
58	76.6	75.3	78	83.2	80.9	85.4
57	76.4	75	77.8	83	80.6	85.2
56	76.2	74.8	77.6	82.8	80.3	85.1
55	76	74.5	77.4	82.6	80.1	85
54	75.8	74.3	77.2	82.4	79.9	84.8
53	75.6	74.1	77	82.2	79.6	84.7
52	75.4	73.9	76.9	82	79.4	84.6
51	75.2	73.7	76.7	81.9	79.1	84.4
50	75	73.5	76.5	81.7	78.9	84.3
49	74.9	73.3	76.4	81.5	78.7	84.2
48	74.7	73.2	76.3	81.3	78.5	84.1
47	74.6	73	76.1	81.2	78.2	84
46	74.5	72.9	76	81	78	83.9
45	74.3	72.7	75.9	80.8	77.8	83.8
44	74.2	72.6	75.8	80.7	77.6	83.7
43	74.1	72.5	75.7	80.5	77.4	83.6
42	74	72.4	75.6	80.4	77.2	83.5
41	73.9	72.3	75.5	80.2	77	83.5
40	73.8	72.2	75.4	80.1	76.8	83.4
39	73.7	72.1	75.3	80	76.6	83.3
38	73.6	72	75.2	79.8	76.4	83.2
37	73.5	71.9	75.1	79.7	76.3	83.2
36	73.4	71.8	75	79.6	76.1	83.1
35	73.4	71.7	74.9	79.5	76	83.1
34	73.3	71.6	74.9	79.4	75.9	83
33	73.2	71.6	74.8	79.3	75.8	82.9
32	73.1	71.5	74.7	79.3	75.6	82.9
31	73.1	71.4	74.7	79.2	75.5	82.9
30	73	71.3	74.6	79.1	75.4	82.8
29	72.9	71.3	74.5	79	75.3	82.8
28	72.8	71.2	74.5	79	75.2	82.7
27	72.8	71.1	74.4	78.9	75.1	82.7
26	72.7	71	74.3	78.8	75	82.7
25	72.6	70.9	74.3	78.7	74.9	82.6
24	72.6	70.9	74.2	78.7	74.8	82.6
23	72.5	70.8	74.2	78.6	74.7	82.6
22	72.4	70.7	74.1	78.5	74.7	82.5
21	72.3	70.6	74.1	78.5	74.6	82.5
20	72.3	70.5	74	78.4	74.5	82.5
19	72.2	70.4	73.9	78.3	74.3	82.4
18	72.1	70.3	73.9	78.3	74.2	82.4
17	72.1	70.3	73.8	78.2	74.1	82.3
16	72	70.2	73.8	78.1	74.1	82.3
15	72	70.1	73.7	78.1	74	82.3
14	71.9	70.1	73.7	78	73.9	82.3
13	71.9	70.1	73.7	78	73.9	82.2
12	71.9	70	73.6	78	73.9	82.2
11	71.8	70	73.6	77.9	73.8	82.2
10	71.8	70	73.6	77.9	73.8	82.2
9	71.8	69.9	73.6	77.9	73.8	82.1
8	71.7	69.9	73.5	77.9	73.8	82.1
7	71.7	69.8	73.5	77.9	73.7	82.1
6	71.6	69.8	73.4	77.8	73.7	82.1
5	71.6	69.7	73.4	77.8	73.7	82.1
4	71.5	69.6	73.3	77.8	73.7	82
3	71.4	69.5	73.2	77.7	73.6	82
2	71.3	69.4	73.1	77.7	73.6	82
1	71.1	69.2	72.9	77.7	73.5	81.9
0	69.2	67.1	71.2	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 Mauritania can expect to live to 73 years compared to 79.1 in Thailand, rising to 78.7 and 84.8 at 65, and to 85.9 and 89.8 at 80 — higher than the 69.2 and 77.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Mauritania

Male

Female

Thailand

Male

Female

1x

Age	Survival probability
	Mauritania			Thailand
	Average	Male	Female	Average	Male	Female
100	0.12%	0.06%	0.2%	3.38%	2.05%	4.79%
99	0.2%	0.11%	0.32%	4.53%	2.77%	6.38%
98	0.32%	0.17%	0.5%	5.9%	3.65%	8.27%
97	0.5%	0.28%	0.77%	7.52%	4.71%	10.5%
96	0.76%	0.44%	1.15%	9.37%	5.96%	13%
95	1.12%	0.66%	1.66%	11.5%	7.39%	15.7%
94	1.61%	0.97%	2.34%	13.8%	9.02%	18.7%
93	2.25%	1.4%	3.22%	16.3%	10.8%	21.9%
92	3.07%	1.96%	4.32%	19%	12.8%	25.4%
91	4.1%	2.69%	5.68%	21.8%	15%	29%
90	5.36%	3.6%	7.31%	24.8%	17.4%	32.7%
89	6.88%	4.74%	9.22%	28%	19.9%	36.4%
88	8.66%	6.11%	11.4%	31.1%	22.4%	40.2%
87	10.7%	7.72%	13.9%	34.3%	25.1%	43.9%
86	13%	9.58%	16.7%	37.5%	27.8%	47.6%
85	15.6%	11.7%	19.7%	40.6%	30.6%	51.1%
84	18.3%	14%	22.8%	43.7%	33.4%	54.5%
83	21.2%	16.5%	26.2%	46.7%	36.2%	57.6%
82	24.3%	19.2%	29.6%	49.6%	38.9%	60.7%
81	27.5%	22%	33.1%	52.4%	41.6%	63.5%
80	30.8%	25%	36.6%	55%	44.3%	66.1%
79	34.1%	28.1%	40.2%	57.5%	46.9%	68.6%
78	37.4%	31.2%	43.7%	59.9%	49.4%	70.8%
77	40.7%	34.4%	47.1%	62.2%	51.8%	72.9%
76	44%	37.6%	50.3%	64.3%	54.1%	74.8%
75	47.2%	40.8%	53.5%	66.2%	56.3%	76.5%
74	50.3%	43.9%	56.5%	68%	58.3%	78%
73	53.2%	47%	59.3%	69.7%	60.3%	79.4%
72	56.1%	50%	62%	71.3%	62.2%	80.7%
71	58.8%	52.9%	64.5%	72.9%	64%	81.9%
70	61.3%	55.6%	66.8%	74.3%	65.8%	83.1%
69	63.7%	58.3%	68.9%	75.6%	67.4%	84.1%
68	66%	60.8%	70.9%	76.9%	69%	85%
67	68.1%	63.2%	72.7%	78%	70.4%	85.8%
66	70.1%	65.5%	74.4%	79%	71.7%	86.6%
65	72%	67.7%	76%	80%	72.9%	87.3%
64	73.7%	69.7%	77.4%	81%	74.1%	87.9%
63	75.3%	71.6%	78.8%	81.9%	75.3%	88.6%
62	76.8%	73.4%	80%	82.7%	76.4%	89.1%
61	78.2%	75%	81.2%	83.5%	77.5%	89.7%
60	79.5%	76.6%	82.2%	84.3%	78.5%	90.3%
59	80.7%	78%	83.2%	85.1%	79.5%	90.8%
58	81.8%	79.3%	84.1%	85.8%	80.4%	91.3%
57	82.8%	80.5%	85%	86.5%	81.3%	91.7%
56	83.8%	81.6%	85.7%	87.1%	82.2%	92.2%
55	84.6%	82.7%	86.5%	87.7%	83%	92.6%
54	85.4%	83.6%	87.2%	88.3%	83.8%	93%
53	86.2%	84.5%	87.8%	88.9%	84.6%	93.4%
52	86.9%	85.3%	88.4%	89.5%	85.3%	93.8%
51	87.5%	86%	89%	90%	86.1%	94.1%
50	88.1%	86.7%	89.5%	90.5%	86.8%	94.4%
49	88.7%	87.3%	90%	91%	87.4%	94.7%
48	89.2%	87.9%	90.4%	91.5%	88.1%	95%
47	89.6%	88.4%	90.8%	91.9%	88.7%	95.3%
46	90.1%	88.9%	91.2%	92.4%	89.4%	95.6%
45	90.5%	89.3%	91.6%	92.8%	90%	95.8%
44	90.8%	89.8%	91.9%	93.2%	90.5%	96%
43	91.2%	90.1%	92.2%	93.6%	91.1%	96.2%
42	91.5%	90.5%	92.5%	94%	91.6%	96.4%
41	91.8%	90.8%	92.8%	94.3%	92.1%	96.6%
40	92.1%	91.1%	93%	94.7%	92.6%	96.8%
39	92.3%	91.3%	93.3%	95%	93.1%	97%
38	92.5%	91.6%	93.5%	95.2%	93.5%	97.1%
37	92.8%	91.8%	93.7%	95.5%	93.8%	97.2%
36	93%	92.1%	93.9%	95.7%	94.2%	97.4%
35	93.2%	92.3%	94.1%	96%	94.5%	97.5%
34	93.4%	92.5%	94.3%	96.2%	94.8%	97.6%
33	93.5%	92.7%	94.4%	96.3%	95.1%	97.7%
32	93.7%	92.8%	94.6%	96.5%	95.3%	97.8%
31	93.9%	93%	94.7%	96.7%	95.6%	97.9%
30	94%	93.2%	94.9%	96.8%	95.8%	97.9%
29	94.2%	93.4%	95%	97%	96%	98%
28	94.3%	93.5%	95.1%	97.1%	96.2%	98.1%
27	94.5%	93.7%	95.3%	97.3%	96.4%	98.2%
26	94.6%	93.9%	95.4%	97.4%	96.6%	98.2%
25	94.7%	94%	95.5%	97.5%	96.8%	98.3%
24	94.9%	94.2%	95.6%	97.6%	97%	98.3%
23	95%	94.4%	95.7%	97.7%	97.1%	98.4%
22	95.2%	94.5%	95.8%	97.9%	97.3%	98.5%
21	95.3%	94.7%	95.9%	98%	97.5%	98.5%
20	95.4%	94.9%	96%	98.1%	97.7%	98.6%
19	95.6%	95%	96.1%	98.2%	97.9%	98.6%
18	95.7%	95.2%	96.2%	98.4%	98.1%	98.7%
17	95.8%	95.3%	96.3%	98.5%	98.2%	98.7%
16	95.9%	95.4%	96.4%	98.6%	98.4%	98.8%
15	96%	95.5%	96.4%	98.6%	98.5%	98.8%
14	96.1%	95.6%	96.5%	98.7%	98.6%	98.9%
13	96.1%	95.7%	96.6%	98.8%	98.6%	98.9%
12	96.2%	95.7%	96.6%	98.8%	98.7%	98.9%
11	96.2%	95.8%	96.7%	98.8%	98.7%	99%
10	96.3%	95.8%	96.7%	98.9%	98.8%	99%
9	96.3%	95.9%	96.7%	98.9%	98.8%	99%
8	96.4%	95.9%	96.8%	98.9%	98.8%	99.1%
7	96.4%	96%	96.9%	99%	98.9%	99.1%
6	96.5%	96.1%	96.9%	99%	98.9%	99.1%
5	96.6%	96.2%	97%	99%	98.9%	99.1%
4	96.7%	96.3%	97.1%	99.1%	99%	99.2%
3	96.8%	96.5%	97.2%	99.1%	99%	99.2%
2	97%	96.7%	97.4%	99.2%	99.1%	99.3%
1	97.2%	96.9%	97.6%	99.2%	99.2%	99.3%

This chart shows the odds of living to each age from birth. 79.5% of newborns in Mauritania and 84.3% in Thailand are expected to live past 60, 61.3% and 74.3% past 70, 30.8% and 55% past 80, and only 5.36% 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

Mauritania

Male

Female

Thailand

Male

Female

1x

Age	Probability of dying
	Mauritania			Thailand
	Average	Male	Female	Average	Male	Female
100	41.2%	42.7%	40.3%	26.9%	27.5%	26.6%
99	39.3%	40.9%	38.4%	25.3%	26%	24.9%
98	37.5%	39.2%	36.6%	23.3%	24.2%	22.9%
97	35.7%	37.5%	34.8%	21.5%	22.5%	21%
96	33.9%	35.7%	32.9%	19.8%	20.9%	19.2%
95	32%	33.9%	31%	18.2%	19.4%	17.5%
94	30.2%	32.2%	29.1%	16.7%	18%	16%
93	28.4%	30.4%	27.3%	15.4%	16.8%	14.7%
92	26.7%	28.7%	25.5%	14.3%	15.7%	13.5%
91	25.1%	27.1%	23.9%	13.2%	14.6%	12.4%
90	23.6%	25.5%	22.3%	12.1%	13.5%	11.3%
89	22.1%	23.9%	20.8%	11.1%	12.5%	10.3%
88	20.6%	22.4%	19.3%	10.2%	11.5%	9.39%
87	19.1%	20.9%	17.9%	9.3%	10.6%	8.49%
86	17.7%	19.4%	16.5%	8.48%	9.79%	7.66%
85	16.3%	17.9%	15.2%	7.72%	9.03%	6.89%
84	15%	16.5%	13.9%	7.03%	8.32%	6.18%
83	13.8%	15.2%	12.7%	6.39%	7.67%	5.54%
82	12.6%	14%	11.6%	5.83%	7.08%	4.97%
81	11.6%	12.9%	10.6%	5.31%	6.53%	4.46%
80	10.6%	11.9%	9.64%	4.83%	6.02%	3.99%
79	9.73%	11%	8.77%	4.39%	5.53%	3.57%
78	8.91%	10.1%	7.97%	3.99%	5.07%	3.18%
77	8.14%	9.29%	7.22%	3.6%	4.64%	2.83%
76	7.43%	8.53%	6.54%	3.25%	4.23%	2.51%
75	6.76%	7.82%	5.9%	2.94%	3.86%	2.23%
74	6.14%	7.15%	5.31%	2.67%	3.54%	1.98%
73	5.57%	6.53%	4.78%	2.44%	3.27%	1.78%
72	5.05%	5.96%	4.29%	2.25%	3.04%	1.62%
71	4.58%	5.45%	3.85%	2.09%	2.84%	1.47%
70	4.15%	4.98%	3.45%	1.94%	2.66%	1.35%
69	3.77%	4.55%	3.1%	1.79%	2.47%	1.22%
68	3.43%	4.16%	2.79%	1.62%	2.26%	1.09%
67	3.12%	3.81%	2.52%	1.45%	2.03%	0.96%
66	2.84%	3.48%	2.28%	1.29%	1.82%	0.85%
65	2.59%	3.19%	2.06%	1.21%	1.7%	0.79%
64	2.36%	2.91%	1.87%	1.16%	1.62%	0.75%
63	2.15%	2.65%	1.71%	1.1%	1.54%	0.71%
62	1.96%	2.42%	1.55%	1.03%	1.45%	0.67%
61	1.78%	2.2%	1.42%	0.98%	1.37%	0.63%
60	1.62%	2.01%	1.29%	0.93%	1.3%	0.6%
59	1.48%	1.83%	1.18%	0.88%	1.23%	0.57%
58	1.35%	1.66%	1.08%	0.83%	1.17%	0.54%
57	1.23%	1.51%	0.99%	0.79%	1.11%	0.51%
56	1.13%	1.37%	0.92%	0.75%	1.05%	0.48%
55	1.04%	1.25%	0.85%	0.71%	1%	0.46%
54	0.95%	1.14%	0.78%	0.68%	0.95%	0.44%
53	0.87%	1.04%	0.73%	0.65%	0.91%	0.41%
52	0.8%	0.94%	0.68%	0.62%	0.88%	0.39%
51	0.73%	0.86%	0.63%	0.6%	0.84%	0.37%
50	0.67%	0.78%	0.58%	0.57%	0.81%	0.35%
49	0.62%	0.71%	0.54%	0.54%	0.78%	0.32%
48	0.57%	0.65%	0.5%	0.52%	0.74%	0.3%
47	0.52%	0.59%	0.46%	0.49%	0.72%	0.28%
46	0.48%	0.54%	0.43%	0.47%	0.69%	0.27%
45	0.44%	0.49%	0.39%	0.45%	0.67%	0.25%
44	0.4%	0.45%	0.36%	0.44%	0.64%	0.23%
43	0.37%	0.41%	0.34%	0.42%	0.62%	0.22%
42	0.34%	0.38%	0.31%	0.39%	0.59%	0.21%
41	0.32%	0.35%	0.29%	0.37%	0.55%	0.19%
40	0.3%	0.32%	0.27%	0.35%	0.52%	0.18%
39	0.28%	0.3%	0.26%	0.32%	0.48%	0.17%
38	0.26%	0.28%	0.24%	0.3%	0.44%	0.16%
37	0.24%	0.26%	0.22%	0.27%	0.4%	0.14%
36	0.23%	0.24%	0.21%	0.25%	0.36%	0.13%
35	0.21%	0.23%	0.2%	0.23%	0.33%	0.12%
34	0.2%	0.22%	0.18%	0.21%	0.3%	0.11%
33	0.19%	0.21%	0.17%	0.19%	0.28%	0.1%
32	0.18%	0.2%	0.16%	0.18%	0.26%	0.09%
31	0.17%	0.19%	0.16%	0.17%	0.25%	0.08%
30	0.17%	0.18%	0.15%	0.16%	0.24%	0.08%
29	0.16%	0.18%	0.14%	0.15%	0.23%	0.08%
28	0.16%	0.18%	0.14%	0.15%	0.22%	0.07%
27	0.15%	0.18%	0.13%	0.14%	0.21%	0.07%
26	0.15%	0.18%	0.12%	0.13%	0.2%	0.07%
25	0.15%	0.18%	0.12%	0.13%	0.19%	0.06%
24	0.15%	0.18%	0.11%	0.12%	0.18%	0.06%
23	0.15%	0.18%	0.11%	0.12%	0.18%	0.06%
22	0.15%	0.18%	0.11%	0.12%	0.18%	0.06%
21	0.15%	0.18%	0.11%	0.12%	0.19%	0.06%
20	0.14%	0.18%	0.11%	0.13%	0.19%	0.06%
19	0.14%	0.17%	0.1%	0.13%	0.2%	0.06%
18	0.13%	0.16%	0.1%	0.12%	0.19%	0.06%
17	0.11%	0.14%	0.09%	0.11%	0.17%	0.05%
16	0.1%	0.12%	0.08%	0.1%	0.14%	0.05%
15	0.08%	0.1%	0.07%	0.08%	0.11%	0.05%
14	0.07%	0.08%	0.06%	0.07%	0.09%	0.04%
13	0.06%	0.07%	0.05%	0.05%	0.07%	0.04%
12	0.05%	0.06%	0.05%	0.04%	0.05%	0.03%
11	0.05%	0.05%	0.05%	0.04%	0.05%	0.03%
10	0.05%	0.05%	0.05%	0.03%	0.04%	0.03%
9	0.05%	0.06%	0.05%	0.03%	0.04%	0.03%
8	0.06%	0.06%	0.05%	0.03%	0.04%	0.02%
7	0.06%	0.07%	0.06%	0.03%	0.04%	0.03%
6	0.08%	0.08%	0.07%	0.03%	0.04%	0.03%
5	0.09%	0.1%	0.08%	0.04%	0.04%	0.03%
4	0.11%	0.13%	0.1%	0.04%	0.04%	0.04%
3	0.14%	0.16%	0.13%	0.05%	0.05%	0.04%
2	0.18%	0.2%	0.17%	0.05%	0.05%	0.05%
1	0.24%	0.26%	0.21%	0.06%	0.06%	0.07%
0	2.75%	3.1%	2.4%	0.76%	0.84%	0.67%

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

The annual chance of dying is 2.75% in the birth year in Mauritania and 0.76% in Thailand, 0.17% vs 0.16% at age 30, 1.62% vs 0.93% at 60, and 10.6% vs 4.83% at 80.

Death rate by age in Mauritania vs Thailand

Chart Table

Mauritania

Male

Female

Thailand

Male

Female

1x

Age	Death rate
	Mauritania			Thailand
	Total	Male	Female	Total	Male	Female
100	0	0	0	906	530	1,303
99	79.7	43.5	122.2	1,143	719	1,589
98	121.8	68.6	183.7	1,374	882	1,890
97	180.3	105	267.3	1,615	1,060	2,196
96	258.6	155.7	377	1,855	1,247	2,491
95	360	223.8	514	2,082	1,435	2,757
94	486	313	681	2,298	1,626	2,999
93	639	425	878	2,505	1,819	3,222
92	820	562	1,104	2,704	2,011	3,427
91	1,029	727	1,355	2,878	2,190	3,596
90	1,263	919	1,628	3,009	2,344	3,702
89	1,517	1,135	1,916	3,107	2,476	3,762
88	1,783	1,370	2,207	3,171	2,586	3,775
87	2,051	1,615	2,491	3,193	2,668	3,731
86	2,308	1,860	2,754	3,180	2,726	3,642
85	2,544	2,094	2,986	3,139	2,763	3,517
84	2,752	2,312	3,179	3,072	2,778	3,364
83	2,928	2,508	3,330	2,986	2,775	3,193
82	3,072	2,682	3,439	2,888	2,755	3,014
81	3,184	2,835	3,506	2,779	2,719	2,829
80	3,265	2,966	3,534	2,658	2,666	2,639
79	3,315	3,072	3,524	2,529	2,595	2,448
78	3,332	3,149	3,478	2,389	2,506	2,253
77	3,317	3,196	3,399	2,240	2,402	2,060
76	3,269	3,208	3,290	2,090	2,289	1,874
75	3,191	3,188	3,156	1,946	2,174	1,701
74	3,089	3,140	3,001	1,815	2,067	1,548
73	2,968	3,069	2,833	1,702	1,973	1,416
72	2,833	2,981	2,657	1,605	1,892	1,304
71	2,692	2,880	2,479	1,520	1,820	1,207
70	2,547	2,770	2,304	1,439	1,748	1,117
69	2,402	2,654	2,136	1,352	1,664	1,027
68	2,260	2,533	1,977	1,249	1,556	929
67	2,122	2,409	1,830	1,133	1,427	826
66	1,989	2,283	1,693	1,023	1,302	734
65	1,861	2,155	1,568	967	1,237	687
64	1,736	2,027	1,452	937	1,204	663
63	1,617	1,901	1,344	897	1,156	630
62	1,503	1,776	1,243	852	1,105	595
61	1,394	1,654	1,149	818	1,065	569
60	1,291	1,536	1,062	782	1,023	541
59	1,194	1,423	982	747	979	514
58	1,105	1,316	909	716	941	490
57	1,022	1,216	844	686	904	468
56	946	1,122	785	656	867	446
55	876	1,034	732	627	829	425
54	811	952	684	601	797	405
53	751	876	639	580	773	386
52	695	805	597	559	751	367
51	642	740	557	537	727	347
50	594	679	520	515	702	327
49	548	622	484	494	678	307
48	505	569	450	474	656	288.2
47	466	521	418	455	636	270.1
46	429	477	388	438	617	253.3
45	396	437	360	422	600	238
44	366	401	335	406	582	224
43	338	368	312	389	561	211
42	314	340	291.1	370	537	198.9
41	292.2	315	272.3	350	509	187.4
40	272.5	292.1	255.1	329	477	175.9
39	254.8	272.2	239.1	307	444	164.3
38	238.5	254.4	224.2	283	409	152.4
37	223.5	238.4	210.1	259.7	375	140.2
36	209.8	224.1	196.8	237.3	342	128
35	197.3	211.4	184.5	216.6	313	116.5
34	186.2	200.3	173.3	198.7	288.3	106
33	176.5	190.7	163.4	183.9	267.9	96.9
32	168.2	182.7	154.8	172.3	252	89.3
31	161.2	176.2	147.3	163.2	239.6	83.1
30	155.4	171.2	140.7	155.8	229.6	78
29	150.7	167.7	134.7	149.3	220.5	73.8
28	146.8	165.6	129	142.7	210.9	70.1
27	143.7	164.9	123.5	136	200.7	66.8
26	141.3	165.4	118.3	129.3	190.3	63.8
25	139.8	167	113.7	123.1	181	61.3
24	139.2	169.5	109.9	118.6	174.6	59.2
23	139.3	172.3	107.1	116.8	172.5	57.8
22	139.7	174.6	105.3	117.6	175	57.1
21	139.6	175.1	104.1	120.7	181.2	57
20	137.4	172.1	102.6	124.3	188	57.1
19	132	163.8	99.7	125.9	191.1	56.9
18	122.6	150	94.7	122.2	184.7	56
17	109.6	131.5	87.1	112.5	167.5	54.1
16	94.8	111.3	77.9	97.5	141.4	50.9
15	80.3	92	68.2	80.9	113.1	46.8
14	67.9	76	59.4	65.5	87.5	42.1
13	58.4	64.2	52.4	53.1	67.8	37.5
12	52	56.4	47.5	43.9	53.9	33.2
11	48.7	52.3	44.9	37.4	44.7	29.7
10	48	51.4	44.4	33.3	39.2	27.1
9	49.9	53.5	46.1	31	36.2	25.4
8	54.5	58.7	50.2	29.9	34.8	24.6
7	62.2	67.2	57	30.1	34.9	25
6	73.5	79.7	67.1	31.6	36.3	26.6
5	89.4	97.2	81.4	34.7	39.1	30
4	111.2	120.9	101.1	39.3	43.1	35.2
3	140.3	152.5	127.7	45.5	48.1	42.6
2	178.7	193.9	163	53.4	54.3	52.5
1	228.6	247.6	209	63.5	61.6	65.5
0	2,753	3,099	2,399	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 Mauritania, the most common age of death is 78, compared to 87 in Thailand. The median age of death is 74.1 in Mauritania 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 Mauritania and Thailand more than their death rates.

Life expectancy in other countries

+ -

1x