Life Expectancy in Kenya vs Thailand (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 Kenya vs Thailand: 68.9 years vs 79.1 at 30, 79.1 vs 84.8 at 65, 87 vs 89.8 at 80 — significantly higher than the 64.2 vs 77.1 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Kenya and Thailand.

Table

Current age, years	Total life expectancy, years
	Kenya			Thailand
	Average	Male	Female	Average	Male	Female
0	64.2	62	66.5	77.1	72.9	81.4
1	66	64	68.2	77.7	73.5	81.9
2	66.3	64.3	68.5	77.7	73.6	82
3	66.5	64.4	68.7	77.7	73.6	82
4	66.7	64.6	68.9	77.8	73.7	82
5	66.8	64.7	69	77.8	73.7	82.1
6	66.8	64.7	69	77.8	73.7	82.1
7	66.9	64.8	69.1	77.9	73.7	82.1
8	66.9	64.8	69.1	77.9	73.8	82.1
9	67	64.9	69.2	77.9	73.8	82.1
10	67	64.9	69.2	77.9	73.8	82.2
11	67.1	65	69.3	77.9	73.8	82.2
12	67.1	65	69.3	78	73.9	82.2
13	67.1	65	69.3	78	73.9	82.2
14	67.2	65.1	69.4	78	73.9	82.3
15	67.2	65.1	69.4	78.1	74	82.3
16	67.3	65.2	69.5	78.1	74.1	82.3
17	67.4	65.3	69.5	78.2	74.1	82.3
18	67.4	65.3	69.6	78.3	74.2	82.4
19	67.5	65.4	69.7	78.3	74.3	82.4
20	67.6	65.5	69.8	78.4	74.5	82.5
21	67.7	65.6	69.8	78.5	74.6	82.5
22	67.8	65.8	69.9	78.5	74.7	82.5
23	67.9	65.9	70	78.6	74.7	82.6
24	68	66	70.1	78.7	74.8	82.6
25	68.2	66.1	70.3	78.7	74.9	82.6
26	68.3	66.3	70.4	78.8	75	82.7
27	68.4	66.4	70.5	78.9	75.1	82.7
28	68.6	66.6	70.6	79	75.2	82.7
29	68.7	66.7	70.8	79	75.3	82.8
30	68.9	66.9	70.9	79.1	75.4	82.8
31	69.1	67.1	71.1	79.2	75.5	82.9
32	69.2	67.3	71.2	79.3	75.6	82.9
33	69.4	67.5	71.4	79.3	75.8	82.9
34	69.6	67.6	71.6	79.4	75.9	83
35	69.8	67.8	71.8	79.5	76	83.1
36	70	68.1	71.9	79.6	76.1	83.1
37	70.2	68.3	72.1	79.7	76.3	83.2
38	70.4	68.5	72.3	79.8	76.4	83.2
39	70.6	68.7	72.5	80	76.6	83.3
40	70.8	69	72.8	80.1	76.8	83.4
41	71.1	69.2	73	80.2	77	83.5
42	71.3	69.5	73.2	80.4	77.2	83.5
43	71.6	69.8	73.4	80.5	77.4	83.6
44	71.8	70.1	73.6	80.7	77.6	83.7
45	72.1	70.3	73.9	80.8	77.8	83.8
46	72.4	70.6	74.1	81	78	83.9
47	72.6	70.9	74.4	81.2	78.2	84
48	72.9	71.2	74.6	81.3	78.5	84.1
49	73.2	71.6	74.9	81.5	78.7	84.2
50	73.5	71.9	75.1	81.7	78.9	84.3
51	73.8	72.2	75.4	81.9	79.1	84.4
52	74.1	72.6	75.7	82	79.4	84.6
53	74.5	72.9	76	82.2	79.6	84.7
54	74.8	73.3	76.3	82.4	79.9	84.8
55	75.1	73.7	76.6	82.6	80.1	85
56	75.5	74	76.9	82.8	80.3	85.1
57	75.8	74.4	77.2	83	80.6	85.2
58	76.2	74.8	77.5	83.2	80.9	85.4
59	76.6	75.2	77.8	83.4	81.1	85.5
60	77	75.6	78.2	83.6	81.4	85.7
61	77.4	76.1	78.5	83.8	81.7	85.8
62	77.8	76.5	78.9	84.1	82	86
63	78.2	77	79.2	84.3	82.2	86.1
64	78.6	77.5	79.6	84.5	82.5	86.3
65	79.1	78	80	84.8	82.8	86.5
66	79.5	78.5	80.5	85	83.1	86.6
67	80	79	80.9	85.2	83.4	86.8
68	80.5	79.5	81.3	85.5	83.8	87
69	81	80	81.8	85.8	84.1	87.2
70	81.5	80.5	82.2	86.1	84.5	87.4
71	82	81.1	82.7	86.4	84.9	87.6
72	82.5	81.6	83.2	86.7	85.3	87.9
73	83	82.2	83.7	87	85.7	88.1
74	83.6	82.8	84.2	87.4	86.1	88.4
75	84.1	83.3	84.7	87.7	86.5	88.7
76	84.6	83.9	85.2	88.1	86.9	89
77	85.2	84.5	85.7	88.5	87.4	89.3
78	85.8	85.1	86.3	88.9	87.9	89.6
79	86.4	85.7	86.8	89.3	88.4	90
80	87	86.3	87.4	89.8	88.9	90.4
81	87.6	87	87.9	90.2	89.4	90.8
82	88.2	87.6	88.5	90.7	90	91.2
83	88.8	88.3	89.1	91.2	90.6	91.7
84	89.5	89	89.7	91.8	91.1	92.2
85	90.1	89.7	90.4	92.3	91.8	92.7
86	90.8	90.4	91.1	92.9	92.4	93.2
87	91.6	91.1	91.8	93.5	93	93.8
88	92.3	91.9	92.5	94.1	93.7	94.3
89	93	92.7	93.2	94.7	94.3	95
90	93.8	93.5	94	95.4	95	95.6
91	94.6	94.3	94.7	96.1	95.7	96.2
92	95.4	95.1	95.5	96.7	96.5	96.9
93	96.2	95.9	96.3	97.4	97.2	97.6
94	97	96.8	97.1	98.2	97.9	98.3
95	97.8	97.6	97.9	98.9	98.7	99
96	98.7	98.5	98.8	99.7	99.5	99.8
97	99.5	99.4	99.6	100.4	100.2	100.5
98	100.4	100.2	100.5	101.2	101	101.4
99	101.3	101.1	101.4	102.1	101.8	102.2
100	102.2	102	102.2	102.9	102.7	103.1

Odds of living to age in Kenya vs Thailand

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 66% in Kenya and 84.3% in Thailand are expected to survive till at least 60 years old, 47.6% and 74.3% will live to 70 years or older, 25.7% and 55% to 80+ years, and 6.54% and 24.8% 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
	Kenya			Thailand
	Average	Male	Female	Average	Male	Female
1	97.2%	96.8%	97.5%	99.2%	99.2%	99.3%
2	96.7%	96.4%	97%	99.2%	99.1%	99.3%
3	96.4%	96.1%	96.7%	99.1%	99%	99.2%
4	96.2%	95.9%	96.5%	99.1%	99%	99.2%
5	96.1%	95.8%	96.4%	99%	98.9%	99.1%
6	96%	95.7%	96.3%	99%	98.9%	99.1%
7	95.9%	95.6%	96.2%	99%	98.9%	99.1%
8	95.8%	95.5%	96.1%	98.9%	98.8%	99.1%
9	95.7%	95.4%	96.1%	98.9%	98.8%	99%
10	95.7%	95.3%	96%	98.9%	98.8%	99%
11	95.6%	95.3%	95.9%	98.8%	98.7%	99%
12	95.5%	95.2%	95.9%	98.8%	98.7%	98.9%
13	95.5%	95.1%	95.8%	98.8%	98.6%	98.9%
14	95.4%	95%	95.7%	98.7%	98.6%	98.9%
15	95.3%	95%	95.7%	98.6%	98.5%	98.8%
16	95.2%	94.8%	95.6%	98.6%	98.4%	98.8%
17	95.1%	94.7%	95.5%	98.5%	98.2%	98.7%
18	94.9%	94.6%	95.3%	98.4%	98.1%	98.7%
19	94.8%	94.4%	95.2%	98.2%	97.9%	98.6%
20	94.6%	94.2%	95%	98.1%	97.7%	98.6%
21	94.4%	93.9%	94.9%	98%	97.5%	98.5%
22	94.2%	93.7%	94.7%	97.9%	97.3%	98.5%
23	94%	93.4%	94.5%	97.7%	97.1%	98.4%
24	93.7%	93.1%	94.3%	97.6%	97%	98.3%
25	93.4%	92.8%	94%	97.5%	96.8%	98.3%
26	93.1%	92.5%	93.8%	97.4%	96.6%	98.2%
27	92.8%	92.2%	93.5%	97.3%	96.4%	98.2%
28	92.5%	91.8%	93.2%	97.1%	96.2%	98.1%
29	92.2%	91.4%	92.9%	97%	96%	98%
30	91.8%	91%	92.6%	96.8%	95.8%	97.9%
31	91.4%	90.6%	92.2%	96.7%	95.6%	97.9%
32	91%	90.1%	91.9%	96.5%	95.3%	97.8%
33	90.6%	89.7%	91.5%	96.3%	95.1%	97.7%
34	90.1%	89.2%	91%	96.2%	94.8%	97.6%
35	89.6%	88.6%	90.6%	96%	94.5%	97.5%
36	89.1%	88%	90.1%	95.7%	94.2%	97.4%
37	88.5%	87.4%	89.7%	95.5%	93.8%	97.2%
38	88%	86.8%	89.1%	95.2%	93.5%	97.1%
39	87.4%	86.1%	88.6%	95%	93.1%	97%
40	86.7%	85.4%	88.1%	94.7%	92.6%	96.8%
41	86%	84.6%	87.5%	94.3%	92.1%	96.6%
42	85.3%	83.8%	86.9%	94%	91.6%	96.4%
43	84.6%	83%	86.2%	93.6%	91.1%	96.2%
44	83.9%	82.1%	85.6%	93.2%	90.5%	96%
45	83.1%	81.2%	84.9%	92.8%	90%	95.8%
46	82.2%	80.3%	84.2%	92.4%	89.4%	95.6%
47	81.4%	79.3%	83.5%	91.9%	88.7%	95.3%
48	80.4%	78.3%	82.7%	91.5%	88.1%	95%
49	79.5%	77.2%	81.9%	91%	87.4%	94.7%
50	78.5%	76.1%	81%	90.5%	86.8%	94.4%
51	77.4%	74.9%	80.1%	90%	86.1%	94.1%
52	76.4%	73.6%	79.2%	89.5%	85.3%	93.8%
53	75.2%	72.4%	78.2%	88.9%	84.6%	93.4%
54	74.1%	71%	77.2%	88.3%	83.8%	93%
55	72.8%	69.7%	76.2%	87.7%	83%	92.6%
56	71.6%	68.2%	75.1%	87.1%	82.2%	92.2%
57	70.3%	66.8%	74%	86.5%	81.3%	91.7%
58	68.9%	65.2%	72.8%	85.8%	80.4%	91.3%
59	67.5%	63.7%	71.6%	85.1%	79.5%	90.8%
60	66%	62%	70.3%	84.3%	78.5%	90.3%
61	64.5%	60.3%	68.9%	83.5%	77.5%	89.7%
62	62.8%	58.5%	67.5%	82.7%	76.4%	89.1%
63	61.1%	56.6%	66%	81.9%	75.3%	88.6%
64	59.4%	54.7%	64.4%	81%	74.1%	87.9%
65	57.5%	52.7%	62.7%	80%	72.9%	87.3%
66	55.6%	50.6%	60.9%	79%	71.7%	86.6%
67	53.7%	48.5%	59.1%	78%	70.4%	85.8%
68	51.7%	46.5%	57.2%	76.9%	69%	85%
69	49.7%	44.4%	55.3%	75.6%	67.4%	84.1%
70	47.6%	42.2%	53.3%	74.3%	65.8%	83.1%
71	45.5%	40.1%	51.3%	72.9%	64%	81.9%
72	43.4%	37.9%	49.2%	71.3%	62.2%	80.7%
73	41.3%	35.8%	47%	69.7%	60.3%	79.4%
74	39.1%	33.6%	44.8%	68%	58.3%	78%
75	36.9%	31.4%	42.6%	66.2%	56.3%	76.5%
76	34.6%	29.2%	40.3%	64.3%	54.1%	74.8%
77	32.4%	27.1%	38%	62.2%	51.8%	72.9%
78	30.1%	24.9%	35.7%	59.9%	49.4%	70.8%
79	27.9%	22.8%	33.3%	57.5%	46.9%	68.6%
80	25.7%	20.7%	31%	55%	44.3%	66.1%
81	23.5%	18.7%	28.6%	52.4%	41.6%	63.5%
82	21.4%	16.7%	26.3%	49.6%	38.9%	60.7%
83	19.2%	14.8%	23.9%	46.7%	36.2%	57.6%
84	17.1%	12.9%	21.5%	43.7%	33.4%	54.5%
85	15%	11.2%	19.1%	40.6%	30.6%	51.1%
86	13.1%	9.5%	16.7%	37.5%	27.8%	47.6%
87	11.2%	7.98%	14.5%	34.3%	25.1%	43.9%
88	9.51%	6.6%	12.4%	31.1%	22.4%	40.2%
89	7.94%	5.38%	10.5%	28%	19.9%	36.4%
90	6.54%	4.31%	8.75%	24.8%	17.4%	32.7%
91	5.28%	3.39%	7.15%	21.8%	15%	29%
92	4.21%	2.63%	5.77%	19%	12.8%	25.4%
93	3.29%	1.99%	4.57%	16.3%	10.8%	21.9%
94	2.52%	1.48%	3.54%	13.8%	9.02%	18.7%
95	1.89%	1.07%	2.69%	11.5%	7.39%	15.7%
96	1.38%	0.76%	2%	9.37%	5.96%	13%
97	0.99%	0.53%	1.45%	7.52%	4.71%	10.5%
98	0.69%	0.36%	1.03%	5.9%	3.65%	8.27%
99	0.48%	0.24%	0.72%	4.53%	2.77%	6.38%
100	0.32%	0.15%	0.49%	3.38%	2.05%	4.79%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 2.82% in the birth year in Kenya and 0.76% in Thailand, 0.42% vs 0.16% at age 30, 2.36% vs 0.93% at 60, and 8.53% vs 4.83% at 80.

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

Table

Age	Probability of dying
	Kenya			Thailand
	Average	Male	Female	Average	Male	Female
0	2.82%	3.15%	2.48%	0.76%	0.84%	0.67%
1	0.47%	0.44%	0.49%	0.06%	0.06%	0.07%
2	0.3%	0.29%	0.3%	0.05%	0.05%	0.05%
3	0.21%	0.21%	0.2%	0.05%	0.05%	0.04%
4	0.15%	0.15%	0.15%	0.04%	0.04%	0.04%
5	0.11%	0.12%	0.11%	0.04%	0.04%	0.03%
6	0.1%	0.1%	0.09%	0.03%	0.04%	0.03%
7	0.09%	0.09%	0.08%	0.03%	0.04%	0.03%
8	0.08%	0.08%	0.07%	0.03%	0.04%	0.02%
9	0.07%	0.08%	0.07%	0.03%	0.04%	0.03%
10	0.07%	0.07%	0.07%	0.03%	0.04%	0.03%
11	0.07%	0.08%	0.07%	0.04%	0.05%	0.03%
12	0.07%	0.08%	0.07%	0.04%	0.05%	0.03%
13	0.08%	0.09%	0.08%	0.05%	0.07%	0.04%
14	0.09%	0.1%	0.08%	0.07%	0.09%	0.04%
15	0.11%	0.12%	0.1%	0.08%	0.11%	0.05%
16	0.13%	0.14%	0.11%	0.1%	0.14%	0.05%
17	0.15%	0.17%	0.13%	0.11%	0.17%	0.05%
18	0.17%	0.2%	0.15%	0.12%	0.19%	0.06%
19	0.19%	0.22%	0.16%	0.13%	0.2%	0.06%
20	0.21%	0.24%	0.18%	0.13%	0.19%	0.06%
21	0.23%	0.26%	0.19%	0.12%	0.19%	0.06%
22	0.25%	0.28%	0.21%	0.12%	0.18%	0.06%
23	0.27%	0.31%	0.23%	0.12%	0.18%	0.06%
24	0.29%	0.32%	0.25%	0.12%	0.18%	0.06%
25	0.31%	0.35%	0.27%	0.13%	0.19%	0.06%
26	0.33%	0.37%	0.29%	0.13%	0.2%	0.07%
27	0.35%	0.39%	0.31%	0.14%	0.21%	0.07%
28	0.37%	0.42%	0.33%	0.15%	0.22%	0.07%
29	0.4%	0.44%	0.36%	0.15%	0.23%	0.08%
30	0.42%	0.47%	0.38%	0.16%	0.24%	0.08%
31	0.45%	0.5%	0.4%	0.17%	0.25%	0.08%
32	0.48%	0.53%	0.43%	0.18%	0.26%	0.09%
33	0.51%	0.57%	0.45%	0.19%	0.28%	0.1%
34	0.54%	0.61%	0.48%	0.21%	0.3%	0.11%
35	0.58%	0.65%	0.51%	0.23%	0.33%	0.12%
36	0.62%	0.69%	0.54%	0.25%	0.36%	0.13%
37	0.65%	0.74%	0.57%	0.27%	0.4%	0.14%
38	0.69%	0.79%	0.6%	0.3%	0.44%	0.16%
39	0.73%	0.83%	0.63%	0.32%	0.48%	0.17%
40	0.78%	0.89%	0.66%	0.35%	0.52%	0.18%
41	0.81%	0.93%	0.69%	0.37%	0.55%	0.19%
42	0.86%	0.98%	0.72%	0.39%	0.59%	0.21%
43	0.9%	1.04%	0.76%	0.42%	0.62%	0.22%
44	0.95%	1.1%	0.79%	0.44%	0.64%	0.23%
45	1%	1.17%	0.84%	0.45%	0.67%	0.25%
46	1.06%	1.23%	0.88%	0.47%	0.69%	0.27%
47	1.12%	1.3%	0.93%	0.49%	0.72%	0.28%
48	1.19%	1.38%	0.98%	0.52%	0.74%	0.3%
49	1.25%	1.47%	1.04%	0.54%	0.78%	0.32%
50	1.34%	1.57%	1.1%	0.57%	0.81%	0.35%
51	1.4%	1.64%	1.15%	0.6%	0.84%	0.37%
52	1.48%	1.74%	1.22%	0.62%	0.88%	0.39%
53	1.56%	1.83%	1.28%	0.65%	0.91%	0.41%
54	1.64%	1.93%	1.35%	0.68%	0.95%	0.44%
55	1.73%	2.05%	1.42%	0.71%	1%	0.46%
56	1.83%	2.15%	1.51%	0.75%	1.05%	0.48%
57	1.93%	2.28%	1.59%	0.79%	1.11%	0.51%
58	2.05%	2.43%	1.7%	0.83%	1.17%	0.54%
59	2.19%	2.59%	1.81%	0.88%	1.23%	0.57%
60	2.36%	2.81%	1.94%	0.93%	1.3%	0.6%
61	2.51%	2.97%	2.08%	0.98%	1.37%	0.63%
62	2.7%	3.2%	2.25%	1.03%	1.45%	0.67%
63	2.9%	3.42%	2.42%	1.1%	1.54%	0.71%
64	3.11%	3.65%	2.61%	1.16%	1.62%	0.75%
65	3.34%	3.91%	2.83%	1.21%	1.7%	0.79%
66	3.5%	4.08%	2.98%	1.29%	1.82%	0.85%
67	3.68%	4.29%	3.16%	1.45%	2.03%	0.96%
68	3.89%	4.52%	3.36%	1.62%	2.26%	1.09%
69	4.11%	4.77%	3.57%	1.79%	2.47%	1.22%
70	4.41%	5.1%	3.84%	1.94%	2.66%	1.35%
71	4.64%	5.36%	4.06%	2.09%	2.84%	1.47%
72	4.99%	5.75%	4.38%	2.25%	3.04%	1.62%
73	5.3%	6.1%	4.68%	2.44%	3.27%	1.78%
74	5.66%	6.5%	5.01%	2.67%	3.54%	1.98%
75	6.05%	6.94%	5.37%	2.94%	3.86%	2.23%
76	6.48%	7.39%	5.74%	3.25%	4.23%	2.51%
77	6.92%	7.88%	6.11%	3.6%	4.64%	2.83%
78	7.44%	8.49%	6.6%	3.99%	5.07%	3.18%
79	7.9%	9.07%	7.01%	4.39%	5.53%	3.57%
80	8.53%	9.8%	7.62%	4.83%	6.02%	3.99%
81	9.13%	10.5%	8.19%	5.31%	6.53%	4.46%
82	10.1%	11.6%	9.19%	5.83%	7.08%	4.97%
83	11%	12.6%	10.1%	6.39%	7.67%	5.54%
84	12%	13.7%	11.1%	7.03%	8.32%	6.18%
85	13%	14.8%	12.2%	7.72%	9.03%	6.89%
86	14.2%	16%	13.3%	8.48%	9.79%	7.66%
87	15.3%	17.2%	14.3%	9.3%	10.6%	8.49%
88	16.5%	18.5%	15.5%	10.2%	11.5%	9.39%
89	17.7%	19.8%	16.7%	11.1%	12.5%	10.3%
90	19.2%	21.3%	18.3%	12.1%	13.5%	11.3%
91	20.3%	22.6%	19.3%	13.2%	14.6%	12.4%
92	21.9%	24.3%	20.9%	14.3%	15.7%	13.5%
93	23.4%	25.8%	22.4%	15.4%	16.8%	14.7%
94	25.1%	27.5%	24%	16.7%	18%	16%
95	26.7%	29.1%	25.8%	18.2%	19.4%	17.5%
96	28.3%	30.6%	27.4%	19.8%	20.9%	19.2%
97	29.9%	32.1%	28.9%	21.5%	22.5%	21%
98	31.3%	33.6%	30.4%	23.3%	24.2%	22.9%
99	33.2%	35.4%	32.3%	25.3%	26%	24.9%
100	34.7%	36.8%	33.8%	26.9%	27.5%	26.6%

Death rate by age in Kenya compared to Thailand

In Kenya, the most common age of death is 0, compared to 87 in Thailand. The median age of death is 68.8 in Kenya and 81.8 in Thailand — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Kenya			Thailand
	Total	Male	Female	Total	Male	Female
0	2,818	3,154	2,478	761	845	672
1	454	428	480	63.5	61.6	65.5
2	288.3	281.8	294.8	53.4	54.3	52.5
3	197.9	197.7	198	45.5	48.1	42.6
4	144	146.8	141.1	39.3	43.1	35.2
5	109.2	111.8	106.5	34.7	39.1	30
6	92.5	96.3	88.6	31.6	36.3	26.6
7	82.4	86.7	78.1	30.1	34.9	25
8	74.2	78.3	70.1	29.9	34.8	24.6
9	69	72.4	65.5	31	36.2	25.4
10	66.7	70.3	63.1	33.3	39.2	27.1
11	67.3	72.1	62.5	37.4	44.7	29.7
12	70.4	75.3	65.4	43.9	53.9	33.2
13	76.9	81.8	72	53.1	67.8	37.5
14	87.5	93.7	81.2	65.5	87.5	42.1
15	102.9	111	94.6	80.9	113.1	46.8
16	119.7	131.5	107.6	97.5	141.4	50.9
17	140.3	157.5	122.8	112.5	167.5	54.1
18	162.4	185.4	139	122.2	184.7	56
19	180.2	205.8	154.3	125.9	191.1	56.9
20	198.6	226.6	170.5	124.3	188	57.1
21	214.5	246.6	182.5	120.7	181.2	57
22	232.9	266.5	199.6	117.6	175	57.1
23	250.7	285.1	216.8	116.8	172.5	57.8
24	268.3	303	234.5	118.6	174.6	59.2
25	287	322	252.9	123.1	181	61.3
26	306	340	273.1	129.3	190.3	63.8
27	326	361	293.5	136	200.7	66.8
28	346	382	311	142.7	210.9	70.1
29	367	404	332	149.3	220.5	73.8
30	390	431	351	155.8	229.6	78
31	409	452	367	163.2	239.6	83.1
32	435	481	391	172.3	252	89.3
33	461	510	412	183.9	267.9	96.9
34	489	543	436	198.7	288.3	106
35	521	578	464	216.6	313	116.5
36	549	611	487	237.3	342	128
37	580	647	511	259.7	375	140.2
38	610	682	536	283	409	152.4
39	639	716	559	307	444	164.3
40	673	757	584	329	477	175.9
41	699	786	605	350	509	187.4
42	730	824	628	370	537	198.9
43	761	861	653	389	561	211
44	794	900	679	406	582	224
45	834	947	710	422	600	238
46	869	988	739	438	617	253.3
47	910	1,034	774	455	636	270.1
48	954	1,084	811	474	656	288.2
49	997	1,133	850	494	678	307
50	1,049	1,193	892	515	702	327
51	1,084	1,231	924	537	727	347
52	1,132	1,283	967	559	751	367
53	1,171	1,326	1,002	580	773	386
54	1,215	1,373	1,042	601	797	405
55	1,262	1,425	1,085	627	829	425
56	1,307	1,469	1,132	656	867	446
57	1,358	1,522	1,180	686	904	468
58	1,416	1,584	1,236	716	941	490
59	1,477	1,648	1,294	747	979	514
60	1,560	1,739	1,366	782	1,023	541
61	1,618	1,792	1,432	818	1,065	569
62	1,699	1,873	1,515	852	1,105	595
63	1,770	1,935	1,595	897	1,156	630
64	1,844	1,998	1,682	937	1,204	663
65	1,921	2,060	1,776	967	1,237	687
66	1,944	2,067	1,816	1,023	1,302	734
67	1,976	2,083	1,867	1,133	1,427	826
68	2,012	2,102	1,922	1,249	1,556	929
69	2,043	2,116	1,972	1,352	1,664	1,027
70	2,099	2,153	2,048	1,439	1,748	1,117
71	2,112	2,148	2,080	1,520	1,820	1,207
72	2,166	2,180	2,156	1,605	1,892	1,304
73	2,188	2,182	2,200	1,702	1,973	1,416
74	2,212	2,183	2,248	1,815	2,067	1,548
75	2,230	2,178	2,289	1,946	2,174	1,701
76	2,243	2,160	2,313	2,090	2,289	1,874
77	2,240	2,132	2,320	2,240	2,402	2,060
78	2,244	2,116	2,353	2,389	2,506	2,253
79	2,204	2,068	2,335	2,529	2,595	2,448
80	2,192	2,033	2,362	2,658	2,666	2,639
81	2,146	1,973	2,345	2,779	2,719	2,829
82	2,159	1,941	2,415	2,888	2,755	3,014
83	2,113	1,864	2,409	2,986	2,775	3,193
84	2,058	1,776	2,391	3,072	2,778	3,364
85	1,959	1,651	2,316	3,139	2,763	3,517
86	1,852	1,523	2,224	3,180	2,726	3,642
87	1,711	1,375	2,084	3,193	2,668	3,731
88	1,565	1,223	1,933	3,171	2,586	3,775
89	1,403	1,066	1,756	3,107	2,476	3,762
90	1,255	920	1,598	3,009	2,344	3,702
91	1,072	767	1,378	2,878	2,190	3,596
92	923	638	1,207	2,704	2,011	3,427
93	771	514	1,023	2,505	1,819	3,222
94	631	405	851	2,298	1,626	2,999
95	505	311	693	2,082	1,435	2,757
96	392	232.6	547	1,855	1,247	2,491
97	295.7	169.3	419	1,615	1,060	2,196
98	217.5	120.1	313	1,374	882	1,890
99	158.4	84	232.3	1,143	719	1,589
100	53.6	13.4	94.3	906	530	1,303

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 Kenya and Thailand 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
• Kenya vs Thailand: Comparing Facts

By topic vs comparisons:

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