Life Expectancy in Thailand vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Thailand

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Thailand			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	102.9	102.7	103.1	102.2	101.9	102.2
99	102.1	101.8	102.2	101.2	101	101.3
98	101.2	101	101.4	100.4	100.1	100.4
97	100.4	100.2	100.5	99.5	99.2	99.5
96	99.7	99.5	99.8	98.6	98.4	98.7
95	98.9	98.7	99	97.7	97.5	97.8
94	98.2	97.9	98.3	96.9	96.6	97
93	97.4	97.2	97.6	96	95.7	96.1
92	96.7	96.5	96.9	95.2	94.9	95.3
91	96.1	95.7	96.2	94.4	94	94.5
90	95.4	95	95.6	93.6	93.2	93.8
89	94.7	94.3	95	92.8	92.4	93
88	94.1	93.7	94.3	92	91.6	92.2
87	93.5	93	93.8	91.2	90.8	91.5
86	92.9	92.4	93.2	90.5	90	90.8
85	92.3	91.8	92.7	89.8	89.2	90.1
84	91.8	91.1	92.2	89	88.4	89.4
83	91.2	90.6	91.7	88.4	87.7	88.7
82	90.7	90	91.2	87.7	87	88.1
81	90.2	89.4	90.8	87	86.3	87.5
80	89.8	88.9	90.4	86.4	85.6	86.9
79	89.3	88.4	90	85.8	84.9	86.3
78	88.9	87.9	89.6	85.1	84.2	85.7
77	88.5	87.4	89.3	84.5	83.6	85.2
76	88.1	86.9	89	83.9	83	84.6
75	87.7	86.5	88.7	83.4	82.3	84.1
74	87.4	86.1	88.4	82.8	81.7	83.5
73	87	85.7	88.1	82.2	81.2	83
72	86.7	85.3	87.9	81.7	80.6	82.5
71	86.4	84.9	87.6	81.2	80	82.1
70	86.1	84.5	87.4	80.7	79.5	81.6
69	85.8	84.1	87.2	80.2	79	81.1
68	85.5	83.8	87	79.7	78.4	80.7
67	85.2	83.4	86.8	79.2	77.9	80.2
66	85	83.1	86.6	78.8	77.5	79.8
65	84.8	82.8	86.5	78.3	77	79.4
64	84.5	82.5	86.3	77.9	76.5	79
63	84.3	82.2	86.1	77.5	76.1	78.6
62	84.1	82	86	77.1	75.6	78.2
61	83.8	81.7	85.8	76.7	75.2	77.9
60	83.6	81.4	85.7	76.3	74.8	77.5
59	83.4	81.1	85.5	75.9	74.4	77.2
58	83.2	80.9	85.4	75.6	74	76.9
57	83	80.6	85.2	75.2	73.6	76.6
56	82.8	80.3	85.1	74.9	73.2	76.3
55	82.6	80.1	85	74.6	72.8	76
54	82.4	79.9	84.8	74.2	72.5	75.7
53	82.2	79.6	84.7	73.9	72.1	75.4
52	82	79.4	84.6	73.6	71.8	75.1
51	81.9	79.1	84.4	73.3	71.4	74.8
50	81.7	78.9	84.3	73	71.1	74.6
49	81.5	78.7	84.2	72.7	70.8	74.3
48	81.3	78.5	84.1	72.5	70.5	74
47	81.2	78.2	84	72.2	70.2	73.8
46	81	78	83.9	71.9	69.9	73.6
45	80.8	77.8	83.8	71.7	69.6	73.3
44	80.7	77.6	83.7	71.4	69.3	73.1
43	80.5	77.4	83.6	71.2	69	72.9
42	80.4	77.2	83.5	70.9	68.7	72.7
41	80.2	77	83.5	70.7	68.5	72.5
40	80.1	76.8	83.4	70.5	68.2	72.2
39	80	76.6	83.3	70.2	68	72
38	79.8	76.4	83.2	70	67.8	71.9
37	79.7	76.3	83.2	69.8	67.5	71.7
36	79.6	76.1	83.1	69.6	67.3	71.5
35	79.5	76	83.1	69.4	67.1	71.3
34	79.4	75.9	83	69.2	66.9	71.1
33	79.3	75.8	82.9	69	66.7	71
32	79.3	75.6	82.9	68.9	66.5	70.8
31	79.2	75.5	82.9	68.7	66.3	70.6
30	79.1	75.4	82.8	68.5	66.2	70.5
29	79	75.3	82.8	68.4	66	70.4
28	79	75.2	82.7	68.2	65.8	70.2
27	78.9	75.1	82.7	68.1	65.7	70.1
26	78.8	75	82.7	68	65.5	70
25	78.7	74.9	82.6	67.8	65.4	69.8
24	78.7	74.8	82.6	67.7	65.3	69.7
23	78.6	74.7	82.6	67.6	65.1	69.6
22	78.5	74.7	82.5	67.5	65	69.5
21	78.5	74.6	82.5	67.4	64.9	69.4
20	78.4	74.5	82.5	67.3	64.8	69.3
19	78.3	74.3	82.4	67.2	64.7	69.3
18	78.3	74.2	82.4	67.1	64.6	69.2
17	78.2	74.1	82.3	67	64.5	69.1
16	78.1	74.1	82.3	67	64.4	69.1
15	78.1	74	82.3	66.9	64.4	69
14	78	73.9	82.3	66.8	64.3	69
13	78	73.9	82.2	66.8	64.3	68.9
12	78	73.9	82.2	66.8	64.2	68.9
11	77.9	73.8	82.2	66.7	64.2	68.8
10	77.9	73.8	82.2	66.7	64.2	68.8
9	77.9	73.8	82.1	66.6	64.1	68.8
8	77.9	73.8	82.1	66.6	64.1	68.7
7	77.9	73.7	82.1	66.5	64	68.7
6	77.8	73.7	82.1	66.5	64	68.6
5	77.8	73.7	82.1	66.4	63.9	68.5
4	77.8	73.7	82	66.3	63.8	68.4
3	77.7	73.6	82	66.2	63.6	68.3
2	77.7	73.6	82	66	63.5	68.1
1	77.7	73.5	81.9	65.6	63.2	67.7
0	77.1	72.9	81.4	63.6	61	65.9

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 Thailand can expect to live to 79.1 years compared to 68.5 in Zimbabwe, rising to 84.8 and 78.3 at 65, and to 89.8 and 86.4 at 80 — higher than the 77.1 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Thailand

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Thailand			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	3.38%	2.05%	4.79%	0.2%	0.07%	0.33%
99	4.53%	2.77%	6.38%	0.31%	0.12%	0.5%
98	5.9%	3.65%	8.27%	0.46%	0.18%	0.73%
97	7.52%	4.71%	10.5%	0.66%	0.27%	1.05%
96	9.37%	5.96%	13%	0.94%	0.4%	1.47%
95	11.5%	7.39%	15.7%	1.3%	0.59%	2.02%
94	13.8%	9.02%	18.7%	1.77%	0.83%	2.71%
93	16.3%	10.8%	21.9%	2.36%	1.15%	3.55%
92	19%	12.8%	25.4%	3.08%	1.57%	4.57%
91	21.8%	15%	29%	3.95%	2.09%	5.75%
90	24.8%	17.4%	32.7%	4.99%	2.73%	7.15%
89	28%	19.9%	36.4%	6.18%	3.51%	8.72%
88	31.1%	22.4%	40.2%	7.56%	4.44%	10.5%
87	34.3%	25.1%	43.9%	9.1%	5.53%	12.4%
86	37.5%	27.8%	47.6%	10.8%	6.78%	14.5%
85	40.6%	30.6%	51.1%	12.7%	8.2%	16.8%
84	43.7%	33.4%	54.5%	14.7%	9.78%	19.1%
83	46.7%	36.2%	57.6%	16.8%	11.5%	21.5%
82	49.6%	38.9%	60.7%	19%	13.4%	24%
81	52.4%	41.6%	63.5%	21.2%	15.4%	26.4%
80	55%	44.3%	66.1%	23.5%	17.5%	28.8%
79	57.5%	46.9%	68.6%	25.9%	19.7%	31.3%
78	59.9%	49.4%	70.8%	28.3%	21.9%	33.8%
77	62.2%	51.8%	72.9%	30.7%	24.3%	36.3%
76	64.3%	54.1%	74.8%	33.2%	26.6%	38.7%
75	66.2%	56.3%	76.5%	35.6%	29%	41.2%
74	68%	58.3%	78%	38%	31.4%	43.6%
73	69.7%	60.3%	79.4%	40.4%	33.9%	45.9%
72	71.3%	62.2%	80.7%	42.8%	36.3%	48.2%
71	72.9%	64%	81.9%	45.1%	38.6%	50.4%
70	74.3%	65.8%	83.1%	47.3%	40.9%	52.6%
69	75.6%	67.4%	84.1%	49.5%	43.2%	54.7%
68	76.9%	69%	85%	51.6%	45.4%	56.7%
67	78%	70.4%	85.8%	53.6%	47.6%	58.6%
66	79%	71.7%	86.6%	55.6%	49.7%	60.5%
65	80%	72.9%	87.3%	57.6%	51.8%	62.3%
64	81%	74.1%	87.9%	59.5%	53.8%	64%
63	81.9%	75.3%	88.6%	61.2%	55.8%	65.7%
62	82.7%	76.4%	89.1%	63%	57.7%	67.2%
61	83.5%	77.5%	89.7%	64.6%	59.5%	68.7%
60	84.3%	78.5%	90.3%	66.2%	61.2%	70.1%
59	85.1%	79.5%	90.8%	67.6%	62.9%	71.4%
58	85.8%	80.4%	91.3%	69.1%	64.5%	72.7%
57	86.5%	81.3%	91.7%	70.4%	66%	73.9%
56	87.1%	82.2%	92.2%	71.7%	67.5%	75%
55	87.7%	83%	92.6%	72.9%	69%	76.1%
54	88.3%	83.8%	93%	74.1%	70.3%	77.2%
53	88.9%	84.6%	93.4%	75.2%	71.7%	78.2%
52	89.5%	85.3%	93.8%	76.3%	73%	79.1%
51	90%	86.1%	94.1%	77.4%	74.2%	80.1%
50	90.5%	86.8%	94.4%	78.4%	75.4%	81%
49	91%	87.4%	94.7%	79.4%	76.6%	81.8%
48	91.5%	88.1%	95%	80.3%	77.7%	82.6%
47	91.9%	88.7%	95.3%	81.2%	78.7%	83.4%
46	92.4%	89.4%	95.6%	82%	79.7%	84.1%
45	92.8%	90%	95.8%	82.9%	80.7%	84.8%
44	93.2%	90.5%	96%	83.6%	81.6%	85.5%
43	93.6%	91.1%	96.2%	84.4%	82.5%	86.1%
42	94%	91.6%	96.4%	85.1%	83.3%	86.7%
41	94.3%	92.1%	96.6%	85.8%	84.1%	87.3%
40	94.7%	92.6%	96.8%	86.4%	84.9%	87.9%
39	95%	93.1%	97%	87.1%	85.6%	88.4%
38	95.2%	93.5%	97.1%	87.7%	86.3%	89%
37	95.5%	93.8%	97.2%	88.2%	86.9%	89.5%
36	95.7%	94.2%	97.4%	88.8%	87.5%	89.9%
35	96%	94.5%	97.5%	89.3%	88.1%	90.4%
34	96.2%	94.8%	97.6%	89.8%	88.7%	90.8%
33	96.3%	95.1%	97.7%	90.2%	89.2%	91.2%
32	96.5%	95.3%	97.8%	90.7%	89.7%	91.6%
31	96.7%	95.6%	97.9%	91.1%	90.1%	91.9%
30	96.8%	95.8%	97.9%	91.4%	90.6%	92.3%
29	97%	96%	98%	91.8%	91%	92.6%
28	97.1%	96.2%	98.1%	92.1%	91.4%	92.9%
27	97.3%	96.4%	98.2%	92.5%	91.7%	93.2%
26	97.4%	96.6%	98.2%	92.8%	92.1%	93.5%
25	97.5%	96.8%	98.3%	93.1%	92.4%	93.7%
24	97.6%	97%	98.3%	93.3%	92.7%	93.9%
23	97.7%	97.1%	98.4%	93.6%	93%	94.2%
22	97.9%	97.3%	98.5%	93.8%	93.3%	94.4%
21	98%	97.5%	98.5%	94%	93.5%	94.5%
20	98.1%	97.7%	98.6%	94.2%	93.8%	94.7%
19	98.2%	97.9%	98.6%	94.4%	94%	94.9%
18	98.4%	98.1%	98.7%	94.6%	94.2%	95%
17	98.5%	98.2%	98.7%	94.7%	94.3%	95.1%
16	98.6%	98.4%	98.8%	94.8%	94.5%	95.2%
15	98.6%	98.5%	98.8%	94.9%	94.6%	95.3%
14	98.7%	98.6%	98.9%	95%	94.7%	95.4%
13	98.8%	98.6%	98.9%	95.1%	94.8%	95.5%
12	98.8%	98.7%	98.9%	95.2%	94.8%	95.6%
11	98.8%	98.7%	99%	95.3%	94.9%	95.6%
10	98.9%	98.8%	99%	95.3%	95%	95.7%
9	98.9%	98.8%	99%	95.4%	95.1%	95.8%
8	98.9%	98.8%	99.1%	95.5%	95.1%	95.8%
7	99%	98.9%	99.1%	95.6%	95.2%	95.9%
6	99%	98.9%	99.1%	95.7%	95.3%	96%
5	99%	98.9%	99.1%	95.8%	95.5%	96.1%
4	99.1%	99%	99.2%	95.9%	95.6%	96.3%
3	99.1%	99%	99.2%	96.2%	95.8%	96.5%
2	99.2%	99.1%	99.3%	96.5%	96.1%	96.8%
1	99.2%	99.2%	99.3%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 84.3% of newborns in Thailand and 66.2% in Zimbabwe are expected to live past 60, 74.3% and 47.3% past 70, 55% and 23.5% past 80, and only 24.8% and 4.99% past 90.

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

Odds of dying at each age

Chart Table

Thailand

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Thailand			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	26.9%	27.5%	26.6%	35.7%	38.2%	35%
99	25.3%	26%	24.9%	34.3%	36.9%	33.6%
98	23.3%	24.2%	22.9%	32.4%	35.2%	31.7%
97	21.5%	22.5%	21%	31.1%	33.9%	30.2%
96	19.8%	20.9%	19.2%	29.6%	32.5%	28.7%
95	18.2%	19.4%	17.5%	28.1%	31%	27.1%
94	16.7%	18%	16%	26.4%	29.5%	25.4%
93	15.4%	16.8%	14.7%	24.9%	27.9%	23.7%
92	14.3%	15.7%	13.5%	23.5%	26.4%	22.2%
91	13.2%	14.6%	12.4%	21.9%	24.9%	20.6%
90	12.1%	13.5%	11.3%	20.9%	23.7%	19.6%
89	11.1%	12.5%	10.3%	19.3%	22.2%	18%
88	10.2%	11.5%	9.39%	18.2%	20.9%	16.8%
87	9.3%	10.6%	8.49%	16.9%	19.7%	15.6%
86	8.48%	9.79%	7.66%	15.8%	18.5%	14.5%
85	7.72%	9.03%	6.89%	14.7%	17.3%	13.3%
84	7.03%	8.32%	6.18%	13.6%	16.2%	12.3%
83	6.39%	7.67%	5.54%	12.5%	15%	11.2%
82	5.83%	7.08%	4.97%	11.6%	14%	10.2%
81	5.31%	6.53%	4.46%	10.5%	12.9%	9.17%
80	4.83%	6.02%	3.99%	9.89%	12.1%	8.58%
79	4.39%	5.53%	3.57%	9.11%	11.1%	7.87%
78	3.99%	5.07%	3.18%	8.54%	10.4%	7.38%
77	3.6%	4.64%	2.83%	7.89%	9.57%	6.81%
76	3.25%	4.23%	2.51%	7.37%	8.9%	6.37%
75	2.94%	3.86%	2.23%	6.87%	8.28%	5.94%
74	2.67%	3.54%	1.98%	6.38%	7.68%	5.51%
73	2.44%	3.27%	1.78%	5.92%	7.12%	5.11%
72	2.25%	3.04%	1.62%	5.51%	6.62%	4.76%
71	2.09%	2.84%	1.47%	5.06%	6.09%	4.37%
70	1.94%	2.66%	1.35%	4.75%	5.7%	4.11%
69	1.79%	2.47%	1.22%	4.38%	5.25%	3.78%
68	1.62%	2.26%	1.09%	4.09%	4.9%	3.54%
67	1.45%	2.03%	0.96%	3.82%	4.56%	3.31%
66	1.29%	1.82%	0.85%	3.58%	4.26%	3.1%
65	1.21%	1.7%	0.79%	3.38%	4.01%	2.93%
64	1.16%	1.62%	0.75%	3.14%	3.74%	2.7%
63	1.1%	1.54%	0.71%	2.92%	3.5%	2.49%
62	1.03%	1.45%	0.67%	2.73%	3.28%	2.31%
61	0.98%	1.37%	0.63%	2.53%	3.04%	2.13%
60	0.93%	1.3%	0.6%	2.37%	2.87%	1.99%
59	0.88%	1.23%	0.57%	2.19%	2.65%	1.85%
58	0.83%	1.17%	0.54%	2.04%	2.48%	1.73%
57	0.79%	1.11%	0.51%	1.91%	2.33%	1.62%
56	0.75%	1.05%	0.48%	1.79%	2.2%	1.53%
55	0.71%	1%	0.46%	1.69%	2.09%	1.44%
54	0.68%	0.95%	0.44%	1.6%	1.97%	1.36%
53	0.65%	0.91%	0.41%	1.52%	1.87%	1.29%
52	0.62%	0.88%	0.39%	1.44%	1.78%	1.23%
51	0.6%	0.84%	0.37%	1.36%	1.68%	1.15%
50	0.57%	0.81%	0.35%	1.3%	1.6%	1.1%
49	0.54%	0.78%	0.32%	1.22%	1.5%	1.03%
48	0.52%	0.74%	0.3%	1.16%	1.41%	0.98%
47	0.49%	0.72%	0.28%	1.09%	1.33%	0.92%
46	0.47%	0.69%	0.27%	1.04%	1.25%	0.87%
45	0.45%	0.67%	0.25%	0.99%	1.19%	0.83%
44	0.44%	0.64%	0.23%	0.93%	1.12%	0.78%
43	0.42%	0.62%	0.22%	0.89%	1.06%	0.75%
42	0.39%	0.59%	0.21%	0.84%	1%	0.71%
41	0.37%	0.55%	0.19%	0.8%	0.95%	0.68%
40	0.35%	0.52%	0.18%	0.76%	0.9%	0.65%
39	0.32%	0.48%	0.17%	0.72%	0.85%	0.62%
38	0.3%	0.44%	0.16%	0.68%	0.8%	0.59%
37	0.27%	0.4%	0.14%	0.64%	0.75%	0.55%
36	0.25%	0.36%	0.13%	0.61%	0.71%	0.53%
35	0.23%	0.33%	0.12%	0.57%	0.66%	0.5%
34	0.21%	0.3%	0.11%	0.54%	0.62%	0.47%
33	0.19%	0.28%	0.1%	0.5%	0.58%	0.44%
32	0.18%	0.26%	0.09%	0.47%	0.54%	0.41%
31	0.17%	0.25%	0.08%	0.44%	0.51%	0.39%
30	0.16%	0.24%	0.08%	0.42%	0.48%	0.37%
29	0.15%	0.23%	0.08%	0.4%	0.45%	0.35%
28	0.15%	0.22%	0.07%	0.37%	0.42%	0.33%
27	0.14%	0.21%	0.07%	0.35%	0.4%	0.31%
26	0.13%	0.2%	0.07%	0.33%	0.37%	0.29%
25	0.13%	0.19%	0.06%	0.31%	0.35%	0.26%
24	0.12%	0.18%	0.06%	0.29%	0.33%	0.25%
23	0.12%	0.18%	0.06%	0.27%	0.31%	0.23%
22	0.12%	0.18%	0.06%	0.25%	0.29%	0.21%
21	0.12%	0.19%	0.06%	0.23%	0.27%	0.19%
20	0.13%	0.19%	0.06%	0.21%	0.25%	0.18%
19	0.13%	0.2%	0.06%	0.19%	0.22%	0.16%
18	0.12%	0.19%	0.06%	0.17%	0.2%	0.15%
17	0.11%	0.17%	0.05%	0.15%	0.17%	0.13%
16	0.1%	0.14%	0.05%	0.13%	0.14%	0.12%
15	0.08%	0.11%	0.05%	0.11%	0.12%	0.1%
14	0.07%	0.09%	0.04%	0.1%	0.1%	0.09%
13	0.05%	0.07%	0.04%	0.08%	0.09%	0.08%
12	0.04%	0.05%	0.03%	0.08%	0.08%	0.07%
11	0.04%	0.05%	0.03%	0.07%	0.08%	0.07%
10	0.03%	0.04%	0.03%	0.07%	0.08%	0.07%
9	0.03%	0.04%	0.03%	0.08%	0.08%	0.07%
8	0.03%	0.04%	0.02%	0.08%	0.09%	0.08%
7	0.03%	0.04%	0.03%	0.09%	0.1%	0.09%
6	0.03%	0.04%	0.03%	0.1%	0.11%	0.1%
5	0.04%	0.04%	0.03%	0.12%	0.13%	0.12%
4	0.04%	0.04%	0.04%	0.16%	0.17%	0.16%
3	0.05%	0.05%	0.04%	0.22%	0.22%	0.22%
2	0.05%	0.05%	0.05%	0.32%	0.32%	0.32%
1	0.06%	0.06%	0.07%	0.5%	0.48%	0.52%
0	0.76%	0.84%	0.67%	3.05%	3.4%	2.7%

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

The annual chance of dying is 0.76% in the birth year in Thailand and 3.05% in Zimbabwe, 0.16% vs 0.42% at age 30, 0.93% vs 2.37% at 60, and 4.83% vs 9.89% at 80.

Death rate by age in Thailand vs Zimbabwe

Chart Table

Thailand

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Thailand			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	906	530	1,303	24.9	0	53
99	1,143	719	1,589	105.4	43.2	168.4
98	1,374	882	1,890	147.6	63.5	232.4
97	1,615	1,060	2,196	205	92.4	318
96	1,855	1,247	2,491	277.6	131.3	423
95	2,082	1,435	2,757	366	181.8	548
94	2,298	1,626	2,999	469	244.7	687
93	2,505	1,819	3,222	588	322	843
92	2,704	2,011	3,427	724	414	1,016
91	2,878	2,190	3,596	863	518	1,184
90	3,009	2,344	3,702	1,040	647	1,401
89	3,107	2,476	3,762	1,196	779	1,570
88	3,171	2,586	3,775	1,372	930	1,762
87	3,193	2,668	3,731	1,540	1,088	1,934
86	3,180	2,726	3,642	1,709	1,253	2,102
85	3,139	2,763	3,517	1,858	1,418	2,232
84	3,072	2,778	3,364	1,999	1,583	2,345
83	2,986	2,775	3,193	2,102	1,730	2,403
82	2,888	2,755	3,014	2,197	1,873	2,450
81	2,779	2,719	2,829	2,235	1,982	2,419
80	2,658	2,666	2,639	2,328	2,113	2,474
79	2,529	2,595	2,448	2,358	2,186	2,465
78	2,389	2,506	2,253	2,416	2,272	2,497
77	2,240	2,402	2,060	2,424	2,321	2,470
76	2,090	2,289	1,874	2,444	2,370	2,468
75	1,946	2,174	1,701	2,448	2,404	2,446
74	1,815	2,067	1,548	2,427	2,414	2,401
73	1,702	1,973	1,416	2,393	2,412	2,346
72	1,605	1,892	1,304	2,356	2,400	2,294
71	1,520	1,820	1,207	2,281	2,352	2,203
70	1,439	1,748	1,117	2,250	2,336	2,164
69	1,352	1,664	1,027	2,166	2,269	2,069
68	1,249	1,556	929	2,111	2,224	2,007
67	1,133	1,427	826	2,050	2,172	1,938
66	1,023	1,302	734	1,993	2,121	1,875
65	967	1,237	687	1,945	2,075	1,824
64	937	1,204	663	1,866	2,014	1,726
63	897	1,156	630	1,790	1,952	1,636
62	852	1,105	595	1,718	1,890	1,553
61	818	1,065	569	1,632	1,809	1,463
60	782	1,023	541	1,571	1,756	1,398
59	747	979	514	1,481	1,664	1,318
58	716	941	490	1,411	1,599	1,257
57	686	904	468	1,341	1,537	1,197
56	656	867	446	1,284	1,485	1,146
55	627	829	425	1,233	1,440	1,097
54	601	797	405	1,184	1,389	1,052
53	580	773	386	1,140	1,342	1,009
52	559	751	367	1,100	1,298	971
51	537	727	347	1,050	1,245	925
50	515	702	327	1,018	1,207	892
49	494	678	307	969	1,146	846
48	474	656	288.2	929	1,096	806
47	455	636	270.1	888	1,046	766
46	438	617	253.3	850	1,000	731
45	422	600	238	816	958	702
44	406	582	224	779	911	669
43	389	561	211	747	871	642
42	370	537	198.9	717	834	617
41	350	509	187.4	685	795	592
40	329	477	175.9	659	766	571
39	307	444	164.3	627	725	545
38	283	409	152.4	599	691	522
37	259.7	375	140.2	568	655	496
36	237.3	342	128	539	619	473
35	216.6	313	116.5	512	586	450
34	198.7	288.3	106	481	550	423
33	183.9	267.9	96.9	453	517	400
32	172.3	252	89.3	428	487	379
31	163.2	239.6	83.1	403	458	356
30	155.8	229.6	78	385	436	341
29	149.3	220.5	73.8	363	409	323
28	142.7	210.9	70.1	343	387	303
27	136	200.7	66.8	324	365	286.2
26	129.3	190.3	63.8	304	344	267.1
25	123.1	181	61.3	286.4	326	248.2
24	118.6	174.6	59.2	268.5	307	231.1
23	116.8	172.5	57.8	251.5	289	214.4
22	117.6	175	57.1	234.1	270.1	198.3
21	120.7	181.2	57	216.1	249.9	182.2
20	124.3	188	57.1	200.4	229.9	170.6
19	125.9	191.1	56.9	182.4	209.2	155.3
18	122.2	184.7	56	164.9	188.9	140.6
17	112.5	167.5	54.1	143.2	161.3	124.9
16	97.5	141.4	50.9	122.8	135.4	110
15	80.9	113.1	46.8	106.1	114.9	97.1
14	65.5	87.5	42.1	90.9	97.8	83.9
13	53.1	67.8	37.5	80.4	85.9	74.8
12	43.9	53.9	33.2	73.9	79.4	68.4
11	37.4	44.7	29.7	70.9	76.1	65.5
10	33.3	39.2	27.1	70.4	74.5	66.2
9	31	36.2	25.4	72.9	76.9	68.8
8	29.9	34.8	24.6	78.6	83.3	73.8
7	30.1	34.9	25	87.5	92.4	82.5
6	31.6	36.3	26.6	98.5	103	94
5	34.7	39.1	30	116.6	119.9	113.1
4	39.3	43.1	35.2	153.9	157.9	149.8
3	45.5	48.1	42.6	211.7	213.4	209.9
2	53.4	54.3	52.5	308	305	311
1	63.5	61.6	65.5	484	463	505
0	761	845	672	3,053	3,402	2,699

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 Thailand, the most common age of death is 87, compared to 0 in Zimbabwe. The median age of death is 81.8 in Thailand and 68.8 in Zimbabwe, 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 Thailand and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x