Life Expectancy in Kenya vs Thailand (1950-2026)

Life expectancy by current age

Chart Table

Kenya

Male

Female

Thailand

Male

Female

1x

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

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

Probability of surviving to a given age

Chart Table

Kenya

Male

Female

Thailand

Male

Female

1x

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

This chart shows the odds of living to each age from birth. 66% of newborns in Kenya and 84.3% in Thailand are expected to live past 60, 47.6% and 74.3% past 70, 25.7% and 55% past 80, and only 6.54% 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

Kenya

Male

Female

Thailand

Male

Female

1x

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

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

Death rate by age in Kenya vs Thailand

Chart Table

Kenya

Male

Female

Thailand

Male

Female

1x

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

Life expectancy in other countries

+ -

1x