Life Expectancy in Malawi vs Thailand (1950-2026)

Life expectancy by current age

Chart Table

Malawi

Male

Female

Thailand

Male

Female

1x

Current age, years	Total life expectancy, years
	Malawi			Thailand
	Average	Male	Female	Average	Male	Female
100	102.1	101.9	102.2	102.9	102.7	103.1
99	101.2	101	101.3	102.1	101.8	102.2
98	100.3	100.1	100.4	101.2	101	101.4
97	99.4	99.2	99.5	100.4	100.2	100.5
96	98.6	98.4	98.6	99.7	99.5	99.8
95	97.7	97.5	97.8	98.9	98.7	99
94	96.9	96.6	97	98.2	97.9	98.3
93	96	95.8	96.1	97.4	97.2	97.6
92	95.2	94.9	95.3	96.7	96.5	96.9
91	94.4	94.1	94.5	96.1	95.7	96.2
90	93.6	93.2	93.8	95.4	95	95.6
89	92.8	92.4	93	94.7	94.3	95
88	92.1	91.6	92.2	94.1	93.7	94.3
87	91.3	90.8	91.5	93.5	93	93.8
86	90.6	90.1	90.8	92.9	92.4	93.2
85	89.8	89.3	90.1	92.3	91.8	92.7
84	89.1	88.5	89.4	91.8	91.1	92.2
83	88.4	87.8	88.8	91.2	90.6	91.7
82	87.8	87.1	88.2	90.7	90	91.2
81	87.2	86.4	87.6	90.2	89.4	90.8
80	86.5	85.8	87	89.8	88.9	90.4
79	85.9	85.1	86.4	89.3	88.4	90
78	85.3	84.5	85.9	88.9	87.9	89.6
77	84.8	83.8	85.3	88.5	87.4	89.3
76	84.2	83.2	84.8	88.1	86.9	89
75	83.6	82.7	84.3	87.7	86.5	88.7
74	83.1	82.1	83.9	87.4	86.1	88.4
73	82.6	81.5	83.4	87	85.7	88.1
72	82.1	81	83	86.7	85.3	87.9
71	81.7	80.5	82.5	86.4	84.9	87.6
70	81.2	80	82.1	86.1	84.5	87.4
69	80.8	79.5	81.8	85.8	84.1	87.2
68	80.3	79	81.4	85.5	83.8	87
67	79.9	78.6	81	85.2	83.4	86.8
66	79.5	78.1	80.7	85	83.1	86.6
65	79.2	77.7	80.4	84.8	82.8	86.5
64	78.8	77.3	80	84.5	82.5	86.3
63	78.5	76.9	79.8	84.3	82.2	86.1
62	78.1	76.5	79.5	84.1	82	86
61	77.8	76.1	79.2	83.8	81.7	85.8
60	77.5	75.8	78.9	83.6	81.4	85.7
59	77.2	75.4	78.7	83.4	81.1	85.5
58	76.9	75.1	78.5	83.2	80.9	85.4
57	76.7	74.8	78.2	83	80.6	85.2
56	76.4	74.5	78	82.8	80.3	85.1
55	76.1	74.2	77.8	82.6	80.1	85
54	75.9	73.9	77.6	82.4	79.9	84.8
53	75.6	73.6	77.4	82.2	79.6	84.7
52	75.4	73.3	77.3	82	79.4	84.6
51	75.2	73	77.1	81.9	79.1	84.4
50	75	72.8	76.9	81.7	78.9	84.3
49	74.8	72.5	76.7	81.5	78.7	84.2
48	74.6	72.3	76.6	81.3	78.5	84.1
47	74.4	72.1	76.5	81.2	78.2	84
46	74.2	71.9	76.3	81	78	83.9
45	74	71.7	76.2	80.8	77.8	83.8
44	73.8	71.5	76.1	80.7	77.6	83.7
43	73.7	71.3	75.9	80.5	77.4	83.6
42	73.5	71.1	75.8	80.4	77.2	83.5
41	73.4	70.9	75.7	80.2	77	83.5
40	73.3	70.7	75.6	80.1	76.8	83.4
39	73.1	70.6	75.5	80	76.6	83.3
38	73	70.4	75.4	79.8	76.4	83.2
37	72.9	70.2	75.3	79.7	76.3	83.2
36	72.7	70.1	75.2	79.6	76.1	83.1
35	72.6	69.9	75.1	79.5	76	83.1
34	72.5	69.8	75	79.4	75.9	83
33	72.4	69.7	75	79.3	75.8	82.9
32	72.3	69.5	74.9	79.3	75.6	82.9
31	72.2	69.4	74.8	79.2	75.5	82.9
30	72.1	69.3	74.7	79.1	75.4	82.8
29	72	69.2	74.7	79	75.3	82.8
28	71.9	69.1	74.6	79	75.2	82.7
27	71.8	68.9	74.5	78.9	75.1	82.7
26	71.7	68.8	74.5	78.8	75	82.7
25	71.6	68.7	74.4	78.7	74.9	82.6
24	71.6	68.6	74.3	78.7	74.8	82.6
23	71.5	68.5	74.3	78.6	74.7	82.6
22	71.4	68.4	74.2	78.5	74.7	82.5
21	71.3	68.3	74.2	78.5	74.6	82.5
20	71.2	68.2	74.1	78.4	74.5	82.5
19	71.2	68.1	74.1	78.3	74.3	82.4
18	71.1	68	74	78.3	74.2	82.4
17	71	68	74	78.2	74.1	82.3
16	71	67.9	73.9	78.1	74.1	82.3
15	70.9	67.8	73.9	78.1	74	82.3
14	70.9	67.8	73.9	78	73.9	82.3
13	70.9	67.8	73.8	78	73.9	82.2
12	70.8	67.7	73.8	78	73.9	82.2
11	70.8	67.7	73.8	77.9	73.8	82.2
10	70.7	67.6	73.7	77.9	73.8	82.2
9	70.7	67.6	73.7	77.9	73.8	82.1
8	70.7	67.5	73.6	77.9	73.8	82.1
7	70.6	67.5	73.6	77.9	73.7	82.1
6	70.5	67.4	73.5	77.8	73.7	82.1
5	70.5	67.4	73.5	77.8	73.7	82.1
4	70.4	67.3	73.4	77.8	73.7	82
3	70.3	67.1	73.3	77.7	73.6	82
2	70.1	67	73.1	77.7	73.6	82
1	69.8	66.7	72.9	77.7	73.5	81.9
0	67.9	64.6	71.1	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 Malawi can expect to live to 72.1 years compared to 79.1 in Thailand, rising to 79.2 and 84.8 at 65, and to 86.5 and 89.8 at 80 — higher than the 67.9 and 77.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Malawi

Male

Female

Thailand

Male

Female

1x

Age	Survival probability
	Malawi			Thailand
	Average	Male	Female	Average	Male	Female
100	0.28%	0.11%	0.45%	3.38%	2.05%	4.79%
99	0.42%	0.17%	0.68%	4.53%	2.77%	6.38%
98	0.63%	0.26%	1%	5.9%	3.65%	8.27%
97	0.91%	0.4%	1.43%	7.52%	4.71%	10.5%
96	1.29%	0.58%	2.01%	9.37%	5.96%	13%
95	1.8%	0.84%	2.76%	11.5%	7.39%	15.7%
94	2.44%	1.19%	3.7%	13.8%	9.02%	18.7%
93	3.24%	1.64%	4.85%	16.3%	10.8%	21.9%
92	4.23%	2.22%	6.24%	19%	12.8%	25.4%
91	5.39%	2.93%	7.85%	21.8%	15%	29%
90	6.79%	3.82%	9.75%	24.8%	17.4%	32.7%
89	8.39%	4.88%	11.9%	28%	19.9%	36.4%
88	10.2%	6.14%	14.2%	31.1%	22.4%	40.2%
87	12.2%	7.6%	16.8%	34.3%	25.1%	43.9%
86	14.5%	9.26%	19.6%	37.5%	27.8%	47.6%
85	16.9%	11.1%	22.5%	40.6%	30.6%	51.1%
84	19.5%	13.2%	25.6%	43.7%	33.4%	54.5%
83	22.1%	15.4%	28.7%	46.7%	36.2%	57.6%
82	24.9%	17.8%	31.9%	49.6%	38.9%	60.7%
81	27.7%	20.2%	35%	52.4%	41.6%	63.5%
80	30.6%	22.8%	38.2%	55%	44.3%	66.1%
79	33.5%	25.5%	41.3%	57.5%	46.9%	68.6%
78	36.4%	28.2%	44.4%	59.9%	49.4%	70.8%
77	39.3%	31%	47.4%	62.2%	51.8%	72.9%
76	42.1%	33.7%	50.3%	64.3%	54.1%	74.8%
75	44.9%	36.5%	53.1%	66.2%	56.3%	76.5%
74	47.7%	39.2%	55.8%	68%	58.3%	78%
73	50.3%	41.9%	58.4%	69.7%	60.3%	79.4%
72	52.9%	44.6%	60.9%	71.3%	62.2%	80.7%
71	55.3%	47.1%	63.2%	72.9%	64%	81.9%
70	57.7%	49.6%	65.4%	74.3%	65.8%	83.1%
69	59.9%	52%	67.4%	75.6%	67.4%	84.1%
68	62.1%	54.3%	69.4%	76.9%	69%	85%
67	64.1%	56.5%	71.2%	78%	70.4%	85.8%
66	66%	58.7%	72.9%	79%	71.7%	86.6%
65	67.8%	60.7%	74.5%	80%	72.9%	87.3%
64	69.5%	62.7%	76%	81%	74.1%	87.9%
63	71.1%	64.6%	77.4%	81.9%	75.3%	88.6%
62	72.7%	66.4%	78.7%	82.7%	76.4%	89.1%
61	74.1%	68.1%	79.9%	83.5%	77.5%	89.7%
60	75.4%	69.7%	81%	84.3%	78.5%	90.3%
59	76.6%	71.2%	82%	85.1%	79.5%	90.8%
58	77.8%	72.6%	83%	85.8%	80.4%	91.3%
57	78.9%	74%	83.8%	86.5%	81.3%	91.7%
56	80%	75.2%	84.7%	87.1%	82.2%	92.2%
55	81%	76.5%	85.5%	87.7%	83%	92.6%
54	81.9%	77.6%	86.2%	88.3%	83.8%	93%
53	82.8%	78.7%	86.9%	88.9%	84.6%	93.4%
52	83.7%	79.8%	87.5%	89.5%	85.3%	93.8%
51	84.5%	80.7%	88.1%	90%	86.1%	94.1%
50	85.2%	81.7%	88.7%	90.5%	86.8%	94.4%
49	85.9%	82.5%	89.2%	91%	87.4%	94.7%
48	86.6%	83.3%	89.7%	91.5%	88.1%	95%
47	87.2%	84.1%	90.1%	91.9%	88.7%	95.3%
46	87.7%	84.8%	90.5%	92.4%	89.4%	95.6%
45	88.3%	85.5%	90.9%	92.8%	90%	95.8%
44	88.8%	86.1%	91.3%	93.2%	90.5%	96%
43	89.2%	86.7%	91.6%	93.6%	91.1%	96.2%
42	89.7%	87.3%	92%	94%	91.6%	96.4%
41	90.1%	87.8%	92.3%	94.3%	92.1%	96.6%
40	90.5%	88.3%	92.5%	94.7%	92.6%	96.8%
39	90.8%	88.8%	92.8%	95%	93.1%	97%
38	91.2%	89.3%	93.1%	95.2%	93.5%	97.1%
37	91.5%	89.7%	93.3%	95.5%	93.8%	97.2%
36	91.8%	90.1%	93.5%	95.7%	94.2%	97.4%
35	92.1%	90.5%	93.7%	96%	94.5%	97.5%
34	92.4%	90.8%	93.9%	96.2%	94.8%	97.6%
33	92.6%	91.1%	94.1%	96.3%	95.1%	97.7%
32	92.9%	91.5%	94.3%	96.5%	95.3%	97.8%
31	93.1%	91.8%	94.4%	96.7%	95.6%	97.9%
30	93.3%	92.1%	94.6%	96.8%	95.8%	97.9%
29	93.5%	92.3%	94.7%	97%	96%	98%
28	93.7%	92.6%	94.9%	97.1%	96.2%	98.1%
27	93.9%	92.9%	95%	97.3%	96.4%	98.2%
26	94.1%	93.1%	95.1%	97.4%	96.6%	98.2%
25	94.3%	93.3%	95.2%	97.5%	96.8%	98.3%
24	94.5%	93.6%	95.4%	97.6%	97%	98.3%
23	94.6%	93.8%	95.5%	97.7%	97.1%	98.4%
22	94.8%	94%	95.6%	97.9%	97.3%	98.5%
21	94.9%	94.2%	95.7%	98%	97.5%	98.5%
20	95.1%	94.4%	95.8%	98.1%	97.7%	98.6%
19	95.2%	94.6%	95.9%	98.2%	97.9%	98.6%
18	95.3%	94.7%	96%	98.4%	98.1%	98.7%
17	95.4%	94.9%	96%	98.5%	98.2%	98.7%
16	95.5%	95%	96.1%	98.6%	98.4%	98.8%
15	95.6%	95.1%	96.2%	98.6%	98.5%	98.8%
14	95.7%	95.2%	96.2%	98.7%	98.6%	98.9%
13	95.8%	95.2%	96.3%	98.8%	98.6%	98.9%
12	95.8%	95.3%	96.3%	98.8%	98.7%	98.9%
11	95.9%	95.4%	96.4%	98.8%	98.7%	99%
10	95.9%	95.4%	96.4%	98.9%	98.8%	99%
9	96%	95.5%	96.5%	98.9%	98.8%	99%
8	96.1%	95.6%	96.5%	98.9%	98.8%	99.1%
7	96.1%	95.7%	96.6%	99%	98.9%	99.1%
6	96.2%	95.8%	96.7%	99%	98.9%	99.1%
5	96.3%	95.9%	96.8%	99%	98.9%	99.1%
4	96.5%	96%	96.9%	99.1%	99%	99.2%
3	96.6%	96.2%	97%	99.1%	99%	99.2%
2	96.9%	96.5%	97.3%	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. 75.4% of newborns in Malawi and 84.3% in Thailand are expected to live past 60, 57.7% and 74.3% past 70, 30.6% and 55% past 80, and only 6.79% 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

Malawi

Male

Female

Thailand

Male

Female

1x

Age	Probability of dying
	Malawi			Thailand
	Average	Male	Female	Average	Male	Female
100	35.9%	38.2%	35.3%	26.9%	27.5%	26.6%
99	34.4%	36.8%	33.8%	25.3%	26%	24.9%
98	32.6%	35.1%	31.9%	23.3%	24.2%	22.9%
97	31.2%	33.7%	30.4%	21.5%	22.5%	21%
96	29.7%	32.3%	28.8%	19.8%	20.9%	19.2%
95	28.1%	30.8%	27.2%	18.2%	19.4%	17.5%
94	26.3%	29.1%	25.4%	16.7%	18%	16%
93	24.7%	27.5%	23.7%	15.4%	16.8%	14.7%
92	23.3%	26%	22.2%	14.3%	15.7%	13.5%
91	21.6%	24.4%	20.5%	13.2%	14.6%	12.4%
90	20.6%	23.3%	19.5%	12.1%	13.5%	11.3%
89	19%	21.7%	17.8%	11.1%	12.5%	10.3%
88	17.8%	20.5%	16.6%	10.2%	11.5%	9.39%
87	16.6%	19.2%	15.3%	9.3%	10.6%	8.49%
86	15.4%	18%	14.2%	8.48%	9.79%	7.66%
85	14.3%	16.7%	13.1%	7.72%	9.03%	6.89%
84	13.3%	15.6%	12%	7.03%	8.32%	6.18%
83	12.1%	14.4%	10.9%	6.39%	7.67%	5.54%
82	11.1%	13.3%	9.93%	5.83%	7.08%	4.97%
81	10.1%	12.1%	8.87%	5.31%	6.53%	4.46%
80	9.44%	11.4%	8.27%	4.83%	6.02%	3.99%
79	8.65%	10.4%	7.55%	4.39%	5.53%	3.57%
78	8.01%	9.69%	6.95%	3.99%	5.07%	3.18%
77	7.31%	8.88%	6.31%	3.6%	4.64%	2.83%
76	6.76%	8.21%	5.8%	3.25%	4.23%	2.51%
75	6.27%	7.59%	5.34%	2.94%	3.86%	2.23%
74	5.75%	6.98%	4.86%	2.67%	3.54%	1.98%
73	5.28%	6.42%	4.43%	2.44%	3.27%	1.78%
72	4.86%	5.92%	4.05%	2.25%	3.04%	1.62%
71	4.4%	5.38%	3.63%	2.09%	2.84%	1.47%
70	4.11%	5.03%	3.39%	1.94%	2.66%	1.35%
69	3.72%	4.59%	3.03%	1.79%	2.47%	1.22%
68	3.43%	4.25%	2.78%	1.62%	2.26%	1.09%
67	3.15%	3.93%	2.54%	1.45%	2.03%	0.96%
66	2.9%	3.64%	2.33%	1.29%	1.82%	0.85%
65	2.7%	3.4%	2.17%	1.21%	1.7%	0.79%
64	2.47%	3.15%	1.97%	1.16%	1.62%	0.75%
63	2.27%	2.92%	1.8%	1.1%	1.54%	0.71%
62	2.09%	2.7%	1.65%	1.03%	1.45%	0.67%
61	1.9%	2.48%	1.49%	0.98%	1.37%	0.63%
60	1.77%	2.32%	1.39%	0.93%	1.3%	0.6%
59	1.62%	2.12%	1.25%	0.88%	1.23%	0.57%
58	1.5%	1.97%	1.15%	0.83%	1.17%	0.54%
57	1.4%	1.83%	1.06%	0.79%	1.11%	0.51%
56	1.31%	1.7%	0.98%	0.75%	1.05%	0.48%
55	1.23%	1.59%	0.91%	0.71%	1%	0.46%
54	1.16%	1.49%	0.85%	0.68%	0.95%	0.44%
53	1.09%	1.39%	0.79%	0.65%	0.91%	0.41%
52	1.02%	1.3%	0.74%	0.62%	0.88%	0.39%
51	0.94%	1.21%	0.67%	0.6%	0.84%	0.37%
50	0.89%	1.14%	0.63%	0.57%	0.81%	0.35%
49	0.82%	1.05%	0.58%	0.54%	0.78%	0.32%
48	0.76%	0.98%	0.54%	0.52%	0.74%	0.3%
47	0.7%	0.91%	0.5%	0.49%	0.72%	0.28%
46	0.65%	0.84%	0.46%	0.47%	0.69%	0.27%
45	0.6%	0.79%	0.43%	0.45%	0.67%	0.25%
44	0.56%	0.74%	0.4%	0.44%	0.64%	0.23%
43	0.52%	0.69%	0.37%	0.42%	0.62%	0.22%
42	0.49%	0.65%	0.35%	0.39%	0.59%	0.21%
41	0.45%	0.6%	0.33%	0.37%	0.55%	0.19%
40	0.43%	0.57%	0.31%	0.35%	0.52%	0.18%
39	0.4%	0.53%	0.29%	0.32%	0.48%	0.17%
38	0.38%	0.5%	0.27%	0.3%	0.44%	0.16%
37	0.35%	0.47%	0.25%	0.27%	0.4%	0.14%
36	0.33%	0.44%	0.23%	0.25%	0.36%	0.13%
35	0.31%	0.42%	0.22%	0.23%	0.33%	0.12%
34	0.29%	0.39%	0.21%	0.21%	0.3%	0.11%
33	0.28%	0.37%	0.19%	0.19%	0.28%	0.1%
32	0.26%	0.35%	0.18%	0.18%	0.26%	0.09%
31	0.25%	0.33%	0.17%	0.17%	0.25%	0.08%
30	0.24%	0.32%	0.16%	0.16%	0.24%	0.08%
29	0.23%	0.3%	0.15%	0.15%	0.23%	0.08%
28	0.22%	0.29%	0.15%	0.15%	0.22%	0.07%
27	0.21%	0.27%	0.14%	0.14%	0.21%	0.07%
26	0.2%	0.26%	0.13%	0.13%	0.2%	0.07%
25	0.19%	0.25%	0.13%	0.13%	0.19%	0.06%
24	0.18%	0.24%	0.12%	0.12%	0.18%	0.06%
23	0.18%	0.24%	0.12%	0.12%	0.18%	0.06%
22	0.17%	0.23%	0.11%	0.12%	0.18%	0.06%
21	0.16%	0.21%	0.11%	0.12%	0.19%	0.06%
20	0.15%	0.2%	0.1%	0.13%	0.19%	0.06%
19	0.14%	0.19%	0.1%	0.13%	0.2%	0.06%
18	0.13%	0.17%	0.09%	0.12%	0.19%	0.06%
17	0.11%	0.15%	0.08%	0.11%	0.17%	0.05%
16	0.1%	0.12%	0.08%	0.1%	0.14%	0.05%
15	0.09%	0.1%	0.07%	0.08%	0.11%	0.05%
14	0.07%	0.09%	0.06%	0.07%	0.09%	0.04%
13	0.07%	0.08%	0.06%	0.05%	0.07%	0.04%
12	0.06%	0.07%	0.05%	0.04%	0.05%	0.03%
11	0.06%	0.07%	0.05%	0.04%	0.05%	0.03%
10	0.06%	0.07%	0.05%	0.03%	0.04%	0.03%
9	0.07%	0.07%	0.06%	0.03%	0.04%	0.03%
8	0.07%	0.08%	0.06%	0.03%	0.04%	0.02%
7	0.08%	0.09%	0.07%	0.03%	0.04%	0.03%
6	0.09%	0.1%	0.08%	0.03%	0.04%	0.03%
5	0.1%	0.11%	0.09%	0.04%	0.04%	0.03%
4	0.13%	0.14%	0.12%	0.04%	0.04%	0.04%
3	0.17%	0.19%	0.16%	0.05%	0.05%	0.04%
2	0.25%	0.27%	0.22%	0.05%	0.05%	0.05%
1	0.39%	0.42%	0.36%	0.06%	0.06%	0.07%
0	2.76%	3.13%	2.38%	0.76%	0.84%	0.67%

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

The annual chance of dying is 2.76% in the birth year in Malawi and 0.76% in Thailand, 0.24% vs 0.16% at age 30, 1.77% vs 0.93% at 60, and 9.44% vs 4.83% at 80.

Death rate by age in Malawi vs Thailand

Chart Table

Malawi

Male

Female

Thailand

Male

Female

1x

Age	Death rate
	Malawi			Thailand
	Total	Male	Female	Total	Male	Female
100	34.7	0.008	71	906	530	1,303
99	145.2	62.6	229.1	1,143	719	1,589
98	204.3	91.9	318	1,374	882	1,890
97	283.6	133.3	435	1,615	1,060	2,196
96	384	188.4	580	1,855	1,247	2,491
95	505	259.5	751	2,082	1,435	2,757
94	643	345	939	2,298	1,626	2,999
93	802	451	1,153	2,505	1,819	3,222
92	983	576	1,387	2,704	2,011	3,427
91	1,166	714	1,612	2,878	2,190	3,596
90	1,399	890	1,900	3,009	2,344	3,702
89	1,594	1,061	2,117	3,107	2,476	3,762
88	1,819	1,259	2,365	3,171	2,586	3,775
87	2,026	1,457	2,578	3,193	2,668	3,731
86	2,231	1,664	2,778	3,180	2,726	3,642
85	2,412	1,861	2,944	3,139	2,763	3,517
84	2,577	2,061	3,073	3,072	2,778	3,364
83	2,684	2,217	3,131	2,986	2,775	3,193
82	2,777	2,368	3,168	2,888	2,755	3,014
81	2,788	2,455	3,104	2,779	2,719	2,829
80	2,887	2,601	3,158	2,658	2,666	2,639
79	2,894	2,661	3,115	2,529	2,595	2,448
78	2,915	2,734	3,085	2,389	2,506	2,253
77	2,869	2,749	2,989	2,240	2,402	2,060
76	2,847	2,770	2,916	2,090	2,289	1,874
75	2,815	2,769	2,834	1,946	2,174	1,701
74	2,739	2,737	2,711	1,815	2,067	1,548
73	2,655	2,691	2,586	1,702	1,973	1,416
72	2,572	2,639	2,467	1,605	1,892	1,304
71	2,433	2,537	2,293	1,520	1,820	1,207
70	2,371	2,494	2,214	1,439	1,748	1,117
69	2,226	2,386	2,040	1,352	1,664	1,027
68	2,127	2,309	1,930	1,249	1,556	929
67	2,016	2,222	1,808	1,133	1,427	826
66	1,912	2,137	1,699	1,023	1,302	734
65	1,828	2,067	1,615	967	1,237	687
64	1,716	1,973	1,499	937	1,204	663
63	1,612	1,883	1,395	897	1,156	630
62	1,516	1,794	1,300	852	1,105	595
61	1,405	1,687	1,188	818	1,065	569
60	1,338	1,616	1,125	782	1,023	541
59	1,239	1,510	1,025	747	979	514
58	1,171	1,430	958	716	941	490
57	1,102	1,350	887	686	904	468
56	1,048	1,282	833	656	867	446
55	996	1,219	778	627	829	425
54	949	1,157	731	601	797	405
53	900	1,096	684	580	773	386
52	855	1,040	645	559	751	367
51	798	975	592	537	727	347
50	759	929	563	515	702	327
49	702	865	517	494	678	307
48	655	813	482	474	656	288.2
47	609	762	446	455	636	270.1
46	568	716	416	438	617	253.3
45	533	677	392	422	600	238
44	496	634	365	406	582	224
43	465	598	343	389	561	211
42	438	566	324	370	537	198.9
41	408	530	299.9	350	509	187.4
40	388	506	285.2	329	477	175.9
39	363	474	265.1	307	444	164.3
38	343	449	249.3	283	409	152.4
37	322	423	232	259.7	375	140.2
36	304	399	218.8	237.3	342	128
35	288.1	378	205.9	216.6	313	116.5
34	271.5	356	192.6	198.7	288.3	106
33	257	337	181.7	183.9	267.9	96.9
32	244.2	320	171.7	172.3	252	89.3
31	230.4	302	160.6	163.2	239.6	83.1
30	222	290.7	154.7	155.8	229.6	78
29	210.9	276.4	146.2	149.3	220.5	73.8
28	201.9	265	139.1	142.7	210.9	70.1
27	193.4	254.5	132.5	136	200.7	66.8
26	185.6	245.1	126.3	129.3	190.3	63.8
25	178.7	237.2	120.4	123.1	181	61.3
24	172.2	229	115.6	118.6	174.6	59.2
23	165.6	221	110.5	116.8	172.5	57.8
22	158.7	211.8	105.8	117.6	175	57.1
21	151	201	101.2	120.7	181.2	57
20	143.1	189.1	97.4	124.3	188	57.1
19	133.8	175.4	92.3	125.9	191.1	56.9
18	123.3	160.2	86.6	122.2	184.7	56
17	108.6	137.6	79.6	112.5	167.5	54.1
16	94.9	117	72.7	97.5	141.4	50.9
15	82	98.8	65.2	80.9	113.1	46.8
14	71.7	85	58.4	65.5	87.5	42.1
13	64.5	75.3	53.7	53.1	67.8	37.5
12	60.4	70.1	50.6	43.9	53.9	33.2
11	59	68.1	49.8	37.4	44.7	29.7
10	59.7	68.2	51.1	33.3	39.2	27.1
9	62.8	71.3	54.1	31	36.2	25.4
8	68.3	77.3	59.2	29.9	34.8	24.6
7	76.3	85.7	66.7	30.1	34.9	25
6	85.9	95.4	76.4	31.6	36.3	26.6
5	100.2	110	90.4	34.7	39.1	30
4	126.8	139.2	114.2	39.3	43.1	35.2
3	168.3	184.6	151.7	45.5	48.1	42.6
2	237.5	258.9	215.8	53.4	54.3	52.5
1	379	404	353	63.5	61.6	65.5
0	2,759	3,129	2,385	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 Malawi, the most common age of death is 78, compared to 87 in Thailand. The median age of death is 73.1 in Malawi 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 Malawi and Thailand more than their death rates.

Life expectancy in other countries

+ -

1x