Life Expectancy in Tanzania vs Thailand (1950-2026)

Life expectancy by current age

Chart Table

Tanzania

Male

Female

Thailand

Male

Female

1x

Current age, years	Total life expectancy, years
	Tanzania			Thailand
	Average	Male	Female	Average	Male	Female
100	102.5	101.9	102.6	102.9	102.7	103.1
99	101.7	101	101.7	102.1	101.8	102.2
98	100.8	100.1	100.9	101.2	101	101.4
97	100	99.2	100.1	100.4	100.2	100.5
96	99.1	98.4	99.3	99.7	99.5	99.8
95	98.3	97.5	98.4	98.9	98.7	99
94	97.4	96.6	97.7	98.2	97.9	98.3
93	96.6	95.8	96.9	97.4	97.2	97.6
92	95.8	94.9	96.1	96.7	96.5	96.9
91	95.1	94.1	95.4	96.1	95.7	96.2
90	94.3	93.3	94.6	95.4	95	95.6
89	93.5	92.5	93.9	94.7	94.3	95
88	92.7	91.7	93.2	94.1	93.7	94.3
87	92	90.9	92.5	93.5	93	93.8
86	91.3	90.1	91.9	92.9	92.4	93.2
85	90.6	89.4	91.2	92.3	91.8	92.7
84	89.9	88.7	90.6	91.8	91.1	92.2
83	89.2	88	90	91.2	90.6	91.7
82	88.6	87.3	89.4	90.7	90	91.2
81	87.9	86.6	88.9	90.2	89.4	90.8
80	87.3	86	88.3	89.8	88.9	90.4
79	86.8	85.3	87.8	89.3	88.4	90
78	86.2	84.7	87.3	88.9	87.9	89.6
77	85.6	84.1	86.8	88.5	87.4	89.3
76	85.1	83.5	86.3	88.1	86.9	89
75	84.5	83	85.8	87.7	86.5	88.7
74	84	82.4	85.3	87.4	86.1	88.4
73	83.5	81.9	84.8	87	85.7	88.1
72	83	81.4	84.3	86.7	85.3	87.9
71	82.5	80.9	83.9	86.4	84.9	87.6
70	82.1	80.4	83.4	86.1	84.5	87.4
69	81.6	79.9	83	85.8	84.1	87.2
68	81.2	79.4	82.6	85.5	83.8	87
67	80.7	79	82.2	85.2	83.4	86.8
66	80.3	78.5	81.8	85	83.1	86.6
65	79.9	78.1	81.4	84.8	82.8	86.5
64	79.5	77.6	81	84.5	82.5	86.3
63	79.1	77.2	80.7	84.3	82.2	86.1
62	78.7	76.8	80.3	84.1	82	86
61	78.4	76.4	80	83.8	81.7	85.8
60	78	76.1	79.7	83.6	81.4	85.7
59	77.7	75.7	79.4	83.4	81.1	85.5
58	77.4	75.4	79.1	83.2	80.9	85.4
57	77.1	75	78.9	83	80.6	85.2
56	76.8	74.7	78.6	82.8	80.3	85.1
55	76.5	74.4	78.3	82.6	80.1	85
54	76.2	74.1	78.1	82.4	79.9	84.8
53	75.9	73.8	77.9	82.2	79.6	84.7
52	75.7	73.5	77.6	82	79.4	84.6
51	75.4	73.3	77.4	81.9	79.1	84.4
50	75.2	73	77.2	81.7	78.9	84.3
49	75	72.7	77	81.5	78.7	84.2
48	74.7	72.5	76.8	81.3	78.5	84.1
47	74.5	72.3	76.6	81.2	78.2	84
46	74.3	72	76.5	81	78	83.9
45	74.1	71.8	76.3	80.8	77.8	83.8
44	73.9	71.6	76.1	80.7	77.6	83.7
43	73.8	71.4	76	80.5	77.4	83.6
42	73.6	71.2	75.8	80.4	77.2	83.5
41	73.4	71	75.6	80.2	77	83.5
40	73.2	70.8	75.5	80.1	76.8	83.4
39	73.1	70.7	75.4	80	76.6	83.3
38	72.9	70.5	75.2	79.8	76.4	83.2
37	72.8	70.3	75.1	79.7	76.3	83.2
36	72.6	70.2	75	79.6	76.1	83.1
35	72.5	70	74.8	79.5	76	83.1
34	72.4	69.9	74.7	79.4	75.9	83
33	72.2	69.7	74.6	79.3	75.8	82.9
32	72.1	69.6	74.5	79.3	75.6	82.9
31	72	69.5	74.4	79.2	75.5	82.9
30	71.9	69.3	74.3	79.1	75.4	82.8
29	71.8	69.2	74.2	79	75.3	82.8
28	71.7	69.1	74.1	79	75.2	82.7
27	71.6	69	74	78.9	75.1	82.7
26	71.4	68.9	73.9	78.8	75	82.7
25	71.4	68.7	73.9	78.7	74.9	82.6
24	71.3	68.6	73.8	78.7	74.8	82.6
23	71.2	68.5	73.7	78.6	74.7	82.6
22	71.1	68.4	73.6	78.5	74.7	82.5
21	71	68.3	73.6	78.5	74.6	82.5
20	70.9	68.2	73.5	78.4	74.5	82.5
19	70.8	68.1	73.4	78.3	74.3	82.4
18	70.8	68.1	73.4	78.3	74.2	82.4
17	70.7	68	73.3	78.2	74.1	82.3
16	70.6	67.9	73.3	78.1	74.1	82.3
15	70.6	67.9	73.2	78.1	74	82.3
14	70.5	67.8	73.2	78	73.9	82.3
13	70.5	67.8	73.2	78	73.9	82.2
12	70.5	67.7	73.1	78	73.9	82.2
11	70.4	67.7	73.1	77.9	73.8	82.2
10	70.4	67.7	73.1	77.9	73.8	82.2
9	70.4	67.6	73	77.9	73.8	82.1
8	70.3	67.6	73	77.9	73.8	82.1
7	70.3	67.5	72.9	77.9	73.7	82.1
6	70.2	67.5	72.9	77.8	73.7	82.1
5	70.2	67.4	72.8	77.8	73.7	82.1
4	70.1	67.3	72.7	77.8	73.7	82
3	69.9	67.2	72.6	77.7	73.6	82
2	69.8	67	72.4	77.7	73.6	82
1	69.5	66.8	72.2	77.7	73.5	81.9
0	67.6	64.8	70.4	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 Tanzania can expect to live to 71.9 years compared to 79.1 in Thailand, rising to 79.9 and 84.8 at 65, and to 87.3 and 89.8 at 80 — higher than the 67.6 and 77.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Tanzania

Male

Female

Thailand

Male

Female

1x

Age	Survival probability
	Tanzania			Thailand
	Average	Male	Female	Average	Male	Female
100	0.67%	0.12%	1.28%	3.38%	2.05%	4.79%
99	0.94%	0.2%	1.76%	4.53%	2.77%	6.38%
98	1.29%	0.3%	2.36%	5.9%	3.65%	8.27%
97	1.73%	0.46%	3.12%	7.52%	4.71%	10.5%
96	2.29%	0.68%	4.05%	9.37%	5.96%	13%
95	2.99%	0.98%	5.16%	11.5%	7.39%	15.7%
94	3.82%	1.38%	6.46%	13.8%	9.02%	18.7%
93	4.81%	1.89%	7.95%	16.3%	10.8%	21.9%
92	5.97%	2.55%	9.63%	19%	12.8%	25.4%
91	7.28%	3.35%	11.5%	21.8%	15%	29%
90	8.82%	4.35%	13.5%	24.8%	17.4%	32.7%
89	10.5%	5.52%	15.7%	28%	19.9%	36.4%
88	12.4%	6.9%	18.1%	31.1%	22.4%	40.2%
87	14.4%	8.47%	20.5%	34.3%	25.1%	43.9%
86	16.6%	10.2%	23.1%	37.5%	27.8%	47.6%
85	19%	12.2%	25.7%	40.6%	30.6%	51.1%
84	21.4%	14.3%	28.4%	43.7%	33.4%	54.5%
83	23.9%	16.6%	31%	46.7%	36.2%	57.6%
82	26.5%	19%	33.6%	49.6%	38.9%	60.7%
81	29%	21.4%	36.1%	52.4%	41.6%	63.5%
80	31.5%	24%	38.5%	55%	44.3%	66.1%
79	34.1%	26.6%	41%	57.5%	46.9%	68.6%
78	36.6%	29.2%	43.4%	59.9%	49.4%	70.8%
77	39.2%	31.8%	45.8%	62.2%	51.8%	72.9%
76	41.7%	34.5%	48.2%	64.3%	54.1%	74.8%
75	44.2%	37.1%	50.6%	66.2%	56.3%	76.5%
74	46.6%	39.7%	52.9%	68%	58.3%	78%
73	49%	42.2%	55.1%	69.7%	60.3%	79.4%
72	51.3%	44.7%	57.3%	71.3%	62.2%	80.7%
71	53.5%	47.1%	59.4%	72.9%	64%	81.9%
70	55.7%	49.5%	61.4%	74.3%	65.8%	83.1%
69	57.7%	51.8%	63.3%	75.6%	67.4%	84.1%
68	59.7%	54%	65.2%	76.9%	69%	85%
67	61.7%	56.2%	67%	78%	70.4%	85.8%
66	63.6%	58.3%	68.8%	79%	71.7%	86.6%
65	65.4%	60.3%	70.5%	80%	72.9%	87.3%
64	67.2%	62.3%	72%	81%	74.1%	87.9%
63	68.8%	64.2%	73.5%	81.9%	75.3%	88.6%
62	70.4%	66%	74.9%	82.7%	76.4%	89.1%
61	71.9%	67.6%	76.2%	83.5%	77.5%	89.7%
60	73.3%	69.3%	77.5%	84.3%	78.5%	90.3%
59	74.7%	70.8%	78.6%	85.1%	79.5%	90.8%
58	75.9%	72.2%	79.7%	85.8%	80.4%	91.3%
57	77.1%	73.6%	80.7%	86.5%	81.3%	91.7%
56	78.2%	74.9%	81.6%	87.1%	82.2%	92.2%
55	79.3%	76.1%	82.5%	87.7%	83%	92.6%
54	80.3%	77.3%	83.3%	88.3%	83.8%	93%
53	81.3%	78.4%	84.2%	88.9%	84.6%	93.4%
52	82.2%	79.4%	84.9%	89.5%	85.3%	93.8%
51	83%	80.4%	85.6%	90%	86.1%	94.1%
50	83.9%	81.4%	86.3%	90.5%	86.8%	94.4%
49	84.6%	82.3%	86.9%	91%	87.4%	94.7%
48	85.3%	83.1%	87.5%	91.5%	88.1%	95%
47	86%	83.9%	88.1%	91.9%	88.7%	95.3%
46	86.6%	84.7%	88.6%	92.4%	89.4%	95.6%
45	87.2%	85.4%	89.1%	92.8%	90%	95.8%
44	87.8%	86%	89.6%	93.2%	90.5%	96%
43	88.3%	86.7%	90%	93.6%	91.1%	96.2%
42	88.8%	87.2%	90.5%	94%	91.6%	96.4%
41	89.3%	87.8%	90.8%	94.3%	92.1%	96.6%
40	89.8%	88.3%	91.2%	94.7%	92.6%	96.8%
39	90.2%	88.8%	91.6%	95%	93.1%	97%
38	90.6%	89.3%	91.9%	95.2%	93.5%	97.1%
37	91%	89.8%	92.2%	95.5%	93.8%	97.2%
36	91.3%	90.2%	92.5%	95.7%	94.2%	97.4%
35	91.7%	90.6%	92.8%	96%	94.5%	97.5%
34	92%	90.9%	93.1%	96.2%	94.8%	97.6%
33	92.3%	91.3%	93.3%	96.3%	95.1%	97.7%
32	92.6%	91.6%	93.6%	96.5%	95.3%	97.8%
31	92.9%	92%	93.8%	96.7%	95.6%	97.9%
30	93.1%	92.3%	94%	96.8%	95.8%	97.9%
29	93.4%	92.5%	94.2%	97%	96%	98%
28	93.6%	92.8%	94.4%	97.1%	96.2%	98.1%
27	93.8%	93.1%	94.6%	97.3%	96.4%	98.2%
26	94%	93.3%	94.8%	97.4%	96.6%	98.2%
25	94.2%	93.6%	94.9%	97.5%	96.8%	98.3%
24	94.4%	93.8%	95.1%	97.6%	97%	98.3%
23	94.6%	94%	95.2%	97.7%	97.1%	98.4%
22	94.8%	94.2%	95.4%	97.9%	97.3%	98.5%
21	95%	94.4%	95.5%	98%	97.5%	98.5%
20	95.1%	94.6%	95.6%	98.1%	97.7%	98.6%
19	95.3%	94.8%	95.7%	98.2%	97.9%	98.6%
18	95.4%	95%	95.8%	98.4%	98.1%	98.7%
17	95.5%	95.1%	95.9%	98.5%	98.2%	98.7%
16	95.6%	95.2%	96%	98.6%	98.4%	98.8%
15	95.7%	95.3%	96.1%	98.6%	98.5%	98.8%
14	95.8%	95.4%	96.1%	98.7%	98.6%	98.9%
13	95.8%	95.5%	96.2%	98.8%	98.6%	98.9%
12	95.9%	95.5%	96.2%	98.8%	98.7%	98.9%
11	95.9%	95.6%	96.3%	98.8%	98.7%	99%
10	96%	95.7%	96.4%	98.9%	98.8%	99%
9	96.1%	95.7%	96.4%	98.9%	98.8%	99%
8	96.1%	95.8%	96.5%	98.9%	98.8%	99.1%
7	96.2%	95.9%	96.5%	99%	98.9%	99.1%
6	96.3%	96%	96.6%	99%	98.9%	99.1%
5	96.4%	96.1%	96.7%	99%	98.9%	99.1%
4	96.5%	96.2%	96.8%	99.1%	99%	99.2%
3	96.7%	96.4%	97%	99.1%	99%	99.2%
2	96.9%	96.6%	97.2%	99.2%	99.1%	99.3%
1	97.3%	97%	97.6%	99.2%	99.2%	99.3%

This chart shows the odds of living to each age from birth. 73.3% of newborns in Tanzania and 84.3% in Thailand are expected to live past 60, 55.7% and 74.3% past 70, 31.5% and 55% past 80, and only 8.82% 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

Tanzania

Male

Female

Thailand

Male

Female

1x

Age	Probability of dying
	Tanzania			Thailand
	Average	Male	Female	Average	Male	Female
100	29.4%	38.6%	28.4%	26.9%	27.5%	26.6%
99	28.3%	37.1%	27.2%	25.3%	26%	24.9%
98	26.8%	35.3%	25.5%	23.3%	24.2%	22.9%
97	25.7%	33.9%	24.3%	21.5%	22.5%	21%
96	24.5%	32.3%	23%	19.8%	20.9%	19.2%
95	23.3%	30.7%	21.6%	18.2%	19.4%	17.5%
94	21.8%	28.9%	20.1%	16.7%	18%	16%
93	20.6%	27.3%	18.7%	15.4%	16.8%	14.7%
92	19.4%	25.7%	17.5%	14.3%	15.7%	13.5%
91	18.1%	24%	16%	13.2%	14.6%	12.4%
90	17.4%	22.9%	15.3%	12.1%	13.5%	11.3%
89	16.1%	21.3%	13.9%	11.1%	12.5%	10.3%
88	15.2%	20%	13%	10.2%	11.5%	9.39%
87	14.2%	18.6%	12%	9.3%	10.6%	8.49%
86	13.3%	17.3%	11.1%	8.48%	9.79%	7.66%
85	12.3%	16%	10.2%	7.72%	9.03%	6.89%
84	11.4%	14.9%	9.37%	7.03%	8.32%	6.18%
83	10.4%	13.7%	8.46%	6.39%	7.67%	5.54%
82	9.6%	12.6%	7.7%	5.83%	7.08%	4.97%
81	8.6%	11.4%	6.8%	5.31%	6.53%	4.46%
80	8.09%	10.6%	6.4%	4.83%	6.02%	3.99%
79	7.47%	9.73%	5.95%	4.39%	5.53%	3.57%
78	7.01%	9.02%	5.65%	3.99%	5.07%	3.18%
77	6.47%	8.26%	5.24%	3.6%	4.64%	2.83%
76	6.05%	7.65%	4.95%	3.25%	4.23%	2.51%
75	5.63%	7.08%	4.66%	2.94%	3.86%	2.23%
74	5.22%	6.52%	4.35%	2.67%	3.54%	1.98%
73	4.83%	6.02%	4.06%	2.44%	3.27%	1.78%
72	4.5%	5.58%	3.8%	2.25%	3.04%	1.62%
71	4.12%	5.1%	3.49%	2.09%	2.84%	1.47%
70	3.91%	4.8%	3.33%	1.94%	2.66%	1.35%
69	3.59%	4.41%	3.06%	1.79%	2.47%	1.22%
68	3.37%	4.12%	2.88%	1.62%	2.26%	1.09%
67	3.16%	3.84%	2.7%	1.45%	2.03%	0.96%
66	2.97%	3.6%	2.54%	1.29%	1.82%	0.85%
65	2.83%	3.4%	2.41%	1.21%	1.7%	0.79%
64	2.61%	3.15%	2.2%	1.16%	1.62%	0.75%
63	2.42%	2.92%	2.02%	1.1%	1.54%	0.71%
62	2.25%	2.71%	1.86%	1.03%	1.45%	0.67%
61	2.06%	2.49%	1.7%	0.98%	1.37%	0.63%
60	1.94%	2.34%	1.58%	0.93%	1.3%	0.6%
59	1.78%	2.14%	1.44%	0.88%	1.23%	0.57%
58	1.66%	1.99%	1.34%	0.83%	1.17%	0.54%
57	1.54%	1.85%	1.24%	0.79%	1.11%	0.51%
56	1.44%	1.73%	1.16%	0.75%	1.05%	0.48%
55	1.35%	1.62%	1.09%	0.71%	1%	0.46%
54	1.26%	1.52%	1.02%	0.68%	0.95%	0.44%
53	1.18%	1.42%	0.95%	0.65%	0.91%	0.41%
52	1.11%	1.34%	0.9%	0.62%	0.88%	0.39%
51	1.03%	1.24%	0.83%	0.6%	0.84%	0.37%
50	0.97%	1.17%	0.79%	0.57%	0.81%	0.35%
49	0.9%	1.08%	0.73%	0.54%	0.78%	0.32%
48	0.84%	1.01%	0.68%	0.52%	0.74%	0.3%
47	0.78%	0.94%	0.63%	0.49%	0.72%	0.28%
46	0.73%	0.88%	0.59%	0.47%	0.69%	0.27%
45	0.69%	0.83%	0.56%	0.45%	0.67%	0.25%
44	0.64%	0.77%	0.52%	0.44%	0.64%	0.23%
43	0.6%	0.72%	0.49%	0.42%	0.62%	0.22%
42	0.57%	0.68%	0.47%	0.39%	0.59%	0.21%
41	0.53%	0.63%	0.44%	0.37%	0.55%	0.19%
40	0.51%	0.6%	0.42%	0.35%	0.52%	0.18%
39	0.47%	0.56%	0.39%	0.32%	0.48%	0.17%
38	0.45%	0.53%	0.37%	0.3%	0.44%	0.16%
37	0.42%	0.5%	0.34%	0.27%	0.4%	0.14%
36	0.39%	0.47%	0.33%	0.25%	0.36%	0.13%
35	0.37%	0.44%	0.31%	0.23%	0.33%	0.12%
34	0.35%	0.41%	0.29%	0.21%	0.3%	0.11%
33	0.33%	0.39%	0.27%	0.19%	0.28%	0.1%
32	0.31%	0.37%	0.25%	0.18%	0.26%	0.09%
31	0.29%	0.34%	0.24%	0.17%	0.25%	0.08%
30	0.28%	0.33%	0.23%	0.16%	0.24%	0.08%
29	0.26%	0.31%	0.21%	0.15%	0.23%	0.08%
28	0.25%	0.3%	0.2%	0.15%	0.22%	0.07%
27	0.24%	0.28%	0.19%	0.14%	0.21%	0.07%
26	0.22%	0.27%	0.18%	0.13%	0.2%	0.07%
25	0.21%	0.26%	0.17%	0.13%	0.19%	0.06%
24	0.2%	0.25%	0.16%	0.12%	0.18%	0.06%
23	0.19%	0.24%	0.15%	0.12%	0.18%	0.06%
22	0.18%	0.23%	0.14%	0.12%	0.18%	0.06%
21	0.17%	0.21%	0.13%	0.12%	0.19%	0.06%
20	0.16%	0.2%	0.13%	0.13%	0.19%	0.06%
19	0.15%	0.18%	0.12%	0.13%	0.2%	0.06%
18	0.14%	0.17%	0.11%	0.12%	0.19%	0.06%
17	0.12%	0.14%	0.1%	0.11%	0.17%	0.05%
16	0.1%	0.12%	0.09%	0.1%	0.14%	0.05%
15	0.09%	0.1%	0.08%	0.08%	0.11%	0.05%
14	0.08%	0.09%	0.07%	0.07%	0.09%	0.04%
13	0.07%	0.08%	0.06%	0.05%	0.07%	0.04%
12	0.06%	0.07%	0.06%	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	0.06%	0.07%	0.06%	0.03%	0.04%	0.03%
8	0.07%	0.07%	0.06%	0.03%	0.04%	0.02%
7	0.08%	0.08%	0.07%	0.03%	0.04%	0.03%
6	0.08%	0.09%	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	0.18%	0.18%	0.17%	0.05%	0.05%	0.04%
2	0.25%	0.26%	0.25%	0.05%	0.05%	0.05%
1	0.41%	0.41%	0.4%	0.06%	0.06%	0.07%
0	2.69%	2.99%	2.38%	0.76%	0.84%	0.67%

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

The annual chance of dying is 2.69% in the birth year in Tanzania and 0.76% in Thailand, 0.28% vs 0.16% at age 30, 1.94% vs 0.93% at 60, and 8.09% vs 4.83% at 80.

Death rate by age in Tanzania vs Thailand

Chart Table

Tanzania

Male

Female

Thailand

Male

Female

1x

Age	Death rate
	Tanzania			Thailand
	Total	Male	Female	Total	Male	Female
100	140.1	0.71	294.9	906	530	1,303
99	266.5	72.6	478	1,143	719	1,589
98	344	107.1	602	1,374	882	1,890
97	444	155.1	756	1,615	1,060	2,196
96	562	218.8	930	1,855	1,247	2,491
95	695	300	1,116	2,082	1,435	2,757
94	834	398	1,297	2,298	1,626	2,999
93	989	516	1,486	2,505	1,819	3,222
92	1,159	656	1,682	2,704	2,011	3,427
91	1,316	805	1,836	2,878	2,190	3,596
90	1,536	994	2,078	3,009	2,344	3,702
89	1,690	1,174	2,190	3,107	2,476	3,762
88	1,881	1,377	2,351	3,171	2,586	3,775
87	2,045	1,575	2,462	3,193	2,668	3,731
86	2,207	1,777	2,566	3,180	2,726	3,642
85	2,336	1,957	2,629	3,139	2,763	3,517
84	2,452	2,143	2,662	3,072	2,778	3,364
83	2,499	2,269	2,625	2,986	2,775	3,193
82	2,540	2,389	2,588	2,888	2,755	3,014
81	2,490	2,434	2,451	2,779	2,719	2,829
80	2,549	2,548	2,467	2,658	2,666	2,639
79	2,545	2,586	2,439	2,529	2,595	2,448
78	2,569	2,636	2,453	2,389	2,506	2,253
77	2,533	2,630	2,402	2,240	2,402	2,060
76	2,519	2,638	2,384	2,090	2,289	1,874
75	2,489	2,625	2,358	1,946	2,174	1,701
74	2,431	2,589	2,297	1,815	2,067	1,548
73	2,367	2,543	2,235	1,702	1,973	1,416
72	2,309	2,496	2,179	1,605	1,892	1,304
71	2,205	2,404	2,072	1,520	1,820	1,207
70	2,174	2,375	2,046	1,439	1,748	1,117
69	2,072	2,284	1,936	1,352	1,664	1,027
68	2,015	2,226	1,877	1,249	1,556	929
67	1,948	2,160	1,806	1,133	1,427	826
66	1,889	2,097	1,743	1,023	1,302	734
65	1,848	2,051	1,698	967	1,237	687
64	1,753	1,961	1,588	937	1,204	663
63	1,666	1,874	1,488	897	1,156	630
62	1,583	1,789	1,396	852	1,105	595
61	1,484	1,686	1,293	818	1,065	569
60	1,422	1,617	1,227	782	1,023	541
59	1,327	1,514	1,135	747	979	514
58	1,257	1,436	1,069	716	941	490
57	1,185	1,359	1,002	686	904	468
56	1,126	1,294	949	656	867	446
55	1,069	1,234	895	627	829	425
54	1,015	1,174	848	601	797	405
53	962	1,116	802	580	773	386
52	914	1,062	763	559	751	367
51	856	999	711	537	727	347
50	817	955	680	515	702	327
49	761	892	633	494	678	307
48	716	840	596	474	656	288.2
47	671	789	558	455	636	270.1
46	632	744	525	438	617	253.3
45	599	705	498	422	600	238
44	563	661	469	406	582	224
43	533	625	445	389	561	211
42	507	593	423	370	537	198.9
41	476	557	397	350	509	187.4
40	455	533	380	329	477	175.9
39	428	500	357	307	444	164.3
38	405	473	338	283	409	152.4
37	382	446	318	259.7	375	140.2
36	361	420	301	237.3	342	128
35	341	398	284.4	216.6	313	116.5
34	321	375	266.3	198.7	288.3	106
33	303	353	251.3	183.9	267.9	96.9
32	286.8	335	237.8	172.3	252	89.3
31	269.7	316	222.6	163.2	239.6	83.1
30	258.9	303	213.8	155.8	229.6	78
29	245	287.2	202.1	149.3	220.5	73.8
28	233.1	274.4	191	142.7	210.9	70.1
27	222.2	262.5	181.1	136	200.7	66.8
26	211.5	251.5	171	129.3	190.3	63.8
25	201.9	242.2	161.1	123.1	181	61.3
24	192.7	232.5	152.5	118.6	174.6	59.2
23	183.7	223.1	143.7	116.8	172.5	57.8
22	174.2	212.6	135.4	117.6	175	57.1
21	164	200.4	127	120.7	181.2	57
20	154.3	187.4	120.7	124.3	188	57.1
19	142.8	172.9	112.2	125.9	191.1	56.9
18	130.5	157.1	103.4	122.2	184.7	56
17	114.1	134.6	93.3	112.5	167.5	54.1
16	98.8	113.8	83.6	97.5	141.4	50.9
15	85	95.7	74	80.9	113.1	46.8
14	73.3	81.7	64.7	65.5	87.5	42.1
13	65.1	71.8	58.2	53.1	67.8	37.5
12	60	66.3	53.6	43.9	53.9	33.2
11	57.8	63.8	51.6	37.4	44.7	29.7
10	57.7	63	52.2	33.3	39.2	27.1
9	59.9	65.2	54.4	31	36.2	25.4
8	64.7	70.4	58.8	29.9	34.8	24.6
7	72.2	78.1	66.1	30.1	34.9	25
6	81.7	87.3	76	31.6	36.3	26.6
5	96.7	101.8	91.4	34.7	39.1	30
4	125.6	131.7	119.3	39.3	43.1	35.2
3	171.2	177.9	164.3	45.5	48.1	42.6
2	246.7	252.7	240.5	53.4	54.3	52.5
1	394	394	394	63.5	61.6	65.5
0	2,690	2,990	2,383	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 Tanzania, the most common age of death is 0, compared to 87 in Thailand. The median age of death is 72.6 in Tanzania 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 Tanzania and Thailand more than their death rates.

Life expectancy in other countries

+ -

1x