Life Expectancy in Tanzania vs Ukraine (1950-2026)

Life expectancy by current age

Chart Table

Tanzania

Male

Female

Ukraine

Male

Female

1x

Current age, years	Total life expectancy, years
	Tanzania			Ukraine
	Average	Male	Female	Average	Male	Female
100	102.5	101.9	102.6	103.2	102.6	103.2
99	101.7	101	101.7	102.3	101.8	102.4
98	100.8	100.1	100.9	101.5	100.9	101.6
97	100	99.2	100.1	100.7	100.1	100.7
96	99.1	98.4	99.3	99.8	99.2	100
95	98.3	97.5	98.4	99	98.4	99.2
94	97.4	96.6	97.7	98.3	97.6	98.4
93	96.6	95.8	96.9	97.5	96.8	97.7
92	95.8	94.9	96.1	96.7	96	96.9
91	95.1	94.1	95.4	96	95.2	96.2
90	94.3	93.3	94.6	95.3	94.5	95.5
89	93.5	92.5	93.9	94.5	93.7	94.8
88	92.7	91.7	93.2	93.8	93	94.1
87	92	90.9	92.5	93.2	92.2	93.5
86	91.3	90.1	91.9	92.5	91.5	92.8
85	90.6	89.4	91.2	91.8	90.8	92.2
84	89.9	88.7	90.6	91.2	90.2	91.6
83	89.2	88	90	90.6	89.5	91
82	88.6	87.3	89.4	90	88.9	90.4
81	87.9	86.6	88.9	89.4	88.2	89.8
80	87.3	86	88.3	88.8	87.6	89.3
79	86.8	85.3	87.8	88.3	87	88.8
78	86.2	84.7	87.3	87.7	86.5	88.3
77	85.6	84.1	86.8	87.2	85.9	87.8
76	85.1	83.5	86.3	86.7	85.4	87.3
75	84.5	83	85.8	86.2	84.8	86.8
74	84	82.4	85.3	85.7	84.2	86.5
73	83.5	81.9	84.8	85.3	83.6	86.1
72	83	81.4	84.3	84.8	83.1	85.8
71	82.5	80.9	83.9	84.4	82.5	85.4
70	82.1	80.4	83.4	84	82	85.2
69	81.6	79.9	83	83.6	81.5	84.9
68	81.2	79.4	82.6	83.2	81	84.6
67	80.7	79	82.2	82.9	80.5	84.4
66	80.3	78.5	81.8	82.5	80.1	84.2
65	79.9	78.1	81.4	82.2	79.6	83.9
64	79.5	77.6	81	81.9	79.2	83.7
63	79.1	77.2	80.7	81.6	78.8	83.5
62	78.7	76.8	80.3	81.3	78.4	83.4
61	78.4	76.4	80	81	78	83.2
60	78	76.1	79.7	80.7	77.6	83
59	77.7	75.7	79.4	80.4	77.3	82.9
58	77.4	75.4	79.1	80.2	76.9	82.7
57	77.1	75	78.9	80	76.6	82.6
56	76.8	74.7	78.6	79.7	76.3	82.5
55	76.5	74.4	78.3	79.5	76	82.4
54	76.2	74.1	78.1	79.3	75.8	82.2
53	75.9	73.8	77.9	79.1	75.5	82.1
52	75.7	73.5	77.6	78.9	75.2	82
51	75.4	73.3	77.4	78.7	75	81.9
50	75.2	73	77.2	78.5	74.7	81.8
49	75	72.7	77	78.4	74.5	81.7
48	74.7	72.5	76.8	78.2	74.3	81.6
47	74.5	72.3	76.6	78	74.1	81.5
46	74.3	72	76.5	77.9	73.9	81.4
45	74.1	71.8	76.3	77.7	73.7	81.3
44	73.9	71.6	76.1	77.6	73.5	81.2
43	73.8	71.4	76	77.4	73.3	81.2
42	73.6	71.2	75.8	77.3	73.1	81.1
41	73.4	71	75.6	77.2	72.9	81
40	73.2	70.8	75.5	77	72.7	80.9
39	73.1	70.7	75.4	76.9	72.6	80.9
38	72.9	70.5	75.2	76.8	72.4	80.8
37	72.8	70.3	75.1	76.7	72.3	80.7
36	72.6	70.2	75	76.6	72.1	80.7
35	72.5	70	74.8	76.5	72	80.6
34	72.4	69.9	74.7	76.4	71.9	80.6
33	72.2	69.7	74.6	76.3	71.8	80.5
32	72.1	69.6	74.5	76.2	71.7	80.5
31	72	69.5	74.4	76.2	71.6	80.5
30	71.9	69.3	74.3	76.1	71.5	80.4
29	71.8	69.2	74.2	76	71.4	80.4
28	71.7	69.1	74.1	76	71.3	80.4
27	71.6	69	74	75.9	71.3	80.3
26	71.4	68.9	73.9	75.9	71.2	80.3
25	71.4	68.7	73.9	75.8	71.1	80.3
24	71.3	68.6	73.8	75.8	71.1	80.3
23	71.2	68.5	73.7	75.7	71	80.3
22	71.1	68.4	73.6	75.7	71	80.2
21	71	68.3	73.6	75.7	70.9	80.2
20	70.9	68.2	73.5	75.6	70.9	80.2
19	70.8	68.1	73.4	75.6	70.8	80.2
18	70.8	68.1	73.4	75.6	70.8	80.2
17	70.7	68	73.3	75.6	70.8	80.2
16	70.6	67.9	73.3	75.5	70.7	80.1
15	70.6	67.9	73.2	75.5	70.7	80.1
14	70.5	67.8	73.2	75.5	70.7	80.1
13	70.5	67.8	73.2	75.5	70.7	80.1
12	70.5	67.7	73.1	75.5	70.7	80.1
11	70.4	67.7	73.1	75.5	70.7	80.1
10	70.4	67.7	73.1	75.5	70.7	80.1
9	70.4	67.6	73	75.5	70.7	80.1
8	70.3	67.6	73	75.5	70.7	80.1
7	70.3	67.5	72.9	75.5	70.6	80.1
6	70.2	67.5	72.9	75.5	70.6	80.1
5	70.2	67.4	72.8	75.4	70.6	80.1
4	70.1	67.3	72.7	75.4	70.6	80
3	69.9	67.2	72.6	75.4	70.6	80
2	69.8	67	72.4	75.4	70.6	80
1	69.5	66.8	72.2	75.4	70.6	80
0	67.6	64.8	70.4	75	70.2	79.7

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 76.1 in Ukraine, rising to 79.9 and 82.2 at 65, and to 87.3 and 88.8 at 80 — higher than the 67.6 and 75 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Tanzania

Male

Female

Ukraine

Male

Female

1x

Age	Survival probability
	Tanzania			Ukraine
	Average	Male	Female	Average	Male	Female
100	0.67%	0.12%	1.28%	2.31%	0.81%	3.53%
99	0.94%	0.2%	1.76%	3%	1.12%	4.56%
98	1.29%	0.3%	2.36%	3.85%	1.53%	5.78%
97	1.73%	0.46%	3.12%	4.85%	2.03%	7.22%
96	2.29%	0.68%	4.05%	6.03%	2.65%	8.88%
95	2.99%	0.98%	5.16%	7.38%	3.4%	10.8%
94	3.82%	1.38%	6.46%	8.92%	4.3%	12.9%
93	4.81%	1.89%	7.95%	10.6%	5.35%	15.2%
92	5.97%	2.55%	9.63%	12.5%	6.56%	17.7%
91	7.28%	3.35%	11.5%	14.6%	7.93%	20.4%
90	8.82%	4.35%	13.5%	16.9%	9.46%	23.4%
89	10.5%	5.52%	15.7%	19.3%	11.1%	26.4%
88	12.4%	6.9%	18.1%	21.8%	13%	29.6%
87	14.4%	8.47%	20.5%	24.4%	15%	32.9%
86	16.6%	10.2%	23.1%	27.2%	17.1%	36.2%
85	19%	12.2%	25.7%	30%	19.3%	39.6%
84	21.4%	14.3%	28.4%	32.8%	21.6%	43.1%
83	23.9%	16.6%	31%	35.7%	23.9%	46.5%
82	26.5%	19%	33.6%	38.6%	26.4%	49.9%
81	29%	21.4%	36.1%	41.4%	28.8%	53.2%
80	31.5%	24%	38.5%	44.3%	31.3%	56.5%
79	34.1%	26.6%	41%	47.1%	33.8%	59.8%
78	36.6%	29.2%	43.4%	49.9%	36.2%	62.9%
77	39.2%	31.8%	45.8%	52.6%	38.7%	65.9%
76	41.7%	34.5%	48.2%	55.2%	41%	68.8%
75	44.2%	37.1%	50.6%	57.8%	43.4%	71.6%
74	46.6%	39.7%	52.9%	60.2%	46%	73.9%
73	49%	42.2%	55.1%	62.5%	48.7%	75.9%
72	51.3%	44.7%	57.3%	64.7%	51.4%	77.8%
71	53.5%	47.1%	59.4%	66.9%	54%	79.6%
70	55.7%	49.5%	61.4%	68.9%	56.5%	81.2%
69	57.7%	51.8%	63.3%	70.7%	58.8%	82.6%
68	59.7%	54%	65.2%	72.5%	61.1%	84%
67	61.7%	56.2%	67%	74.2%	63.3%	85.2%
66	63.6%	58.3%	68.8%	75.8%	65.4%	86.3%
65	65.4%	60.3%	70.5%	77.3%	67.4%	87.3%
64	67.2%	62.3%	72%	78.7%	69.4%	88.2%
63	68.8%	64.2%	73.5%	80.1%	71.3%	89%
62	70.4%	66%	74.9%	81.4%	73.1%	89.8%
61	71.9%	67.6%	76.2%	82.7%	74.8%	90.5%
60	73.3%	69.3%	77.5%	83.8%	76.4%	91.2%
59	74.7%	70.8%	78.6%	84.8%	77.9%	91.7%
58	75.9%	72.2%	79.7%	85.8%	79.3%	92.3%
57	77.1%	73.6%	80.7%	86.7%	80.6%	92.8%
56	78.2%	74.9%	81.6%	87.5%	81.8%	93.2%
55	79.3%	76.1%	82.5%	88.3%	83%	93.7%
54	80.3%	77.3%	83.3%	89%	84.1%	94.1%
53	81.3%	78.4%	84.2%	89.7%	85.1%	94.4%
52	82.2%	79.4%	84.9%	90.4%	86.1%	94.8%
51	83%	80.4%	85.6%	91%	87%	95.1%
50	83.9%	81.4%	86.3%	91.6%	87.9%	95.5%
49	84.6%	82.3%	86.9%	92.2%	88.7%	95.8%
48	85.3%	83.1%	87.5%	92.7%	89.5%	96%
47	86%	83.9%	88.1%	93.2%	90.2%	96.3%
46	86.6%	84.7%	88.6%	93.6%	90.9%	96.6%
45	87.2%	85.4%	89.1%	94.1%	91.5%	96.8%
44	87.8%	86%	89.6%	94.5%	92.1%	97%
43	88.3%	86.7%	90%	94.9%	92.7%	97.2%
42	88.8%	87.2%	90.5%	95.3%	93.3%	97.4%
41	89.3%	87.8%	90.8%	95.7%	93.8%	97.6%
40	89.8%	88.3%	91.2%	96%	94.3%	97.8%
39	90.2%	88.8%	91.6%	96.3%	94.7%	97.9%
38	90.6%	89.3%	91.9%	96.6%	95.2%	98.1%
37	91%	89.8%	92.2%	96.9%	95.6%	98.2%
36	91.3%	90.2%	92.5%	97.1%	96%	98.3%
35	91.7%	90.6%	92.8%	97.4%	96.3%	98.5%
34	92%	90.9%	93.1%	97.6%	96.6%	98.6%
33	92.3%	91.3%	93.3%	97.8%	96.9%	98.7%
32	92.6%	91.6%	93.6%	97.9%	97.2%	98.7%
31	92.9%	92%	93.8%	98.1%	97.4%	98.8%
30	93.1%	92.3%	94%	98.2%	97.6%	98.9%
29	93.4%	92.5%	94.2%	98.4%	97.8%	99%
28	93.6%	92.8%	94.4%	98.5%	98%	99%
27	93.8%	93.1%	94.6%	98.6%	98.1%	99.1%
26	94%	93.3%	94.8%	98.7%	98.3%	99.1%
25	94.2%	93.6%	94.9%	98.8%	98.4%	99.1%
24	94.4%	93.8%	95.1%	98.8%	98.5%	99.2%
23	94.6%	94%	95.2%	98.9%	98.6%	99.2%
22	94.8%	94.2%	95.4%	99%	98.7%	99.2%
21	95%	94.4%	95.5%	99%	98.8%	99.3%
20	95.1%	94.6%	95.6%	99.1%	98.9%	99.3%
19	95.3%	94.8%	95.7%	99.2%	99%	99.3%
18	95.4%	95%	95.8%	99.2%	99.1%	99.3%
17	95.5%	95.1%	95.9%	99.2%	99.1%	99.4%
16	95.6%	95.2%	96%	99.3%	99.2%	99.4%
15	95.7%	95.3%	96.1%	99.3%	99.2%	99.4%
14	95.8%	95.4%	96.1%	99.3%	99.2%	99.4%
13	95.8%	95.5%	96.2%	99.3%	99.3%	99.4%
12	95.9%	95.5%	96.2%	99.4%	99.3%	99.4%
11	95.9%	95.6%	96.3%	99.4%	99.3%	99.5%
10	96%	95.7%	96.4%	99.4%	99.3%	99.5%
9	96.1%	95.7%	96.4%	99.4%	99.3%	99.5%
8	96.1%	95.8%	96.5%	99.4%	99.3%	99.5%
7	96.2%	95.9%	96.5%	99.4%	99.3%	99.5%
6	96.3%	96%	96.6%	99.4%	99.3%	99.5%
5	96.4%	96.1%	96.7%	99.4%	99.4%	99.5%
4	96.5%	96.2%	96.8%	99.5%	99.4%	99.5%
3	96.7%	96.4%	97%	99.5%	99.4%	99.6%
2	96.9%	96.6%	97.2%	99.5%	99.4%	99.6%
1	97.3%	97%	97.6%	99.5%	99.5%	99.6%

This chart shows the odds of living to each age from birth. 73.3% of newborns in Tanzania and 83.8% in Ukraine are expected to live past 60, 55.7% and 68.9% past 70, 31.5% and 44.3% past 80, and only 8.82% and 16.9% 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

Ukraine

Male

Female

1x

Age	Probability of dying
	Tanzania			Ukraine
	Average	Male	Female	Average	Male	Female
100	29.4%	38.6%	28.4%	24.4%	29.1%	23.7%
99	28.3%	37.1%	27.2%	23.2%	27.7%	22.5%
98	26.8%	35.3%	25.5%	21.9%	26.3%	21.2%
97	25.7%	33.9%	24.3%	20.7%	24.8%	19.9%
96	24.5%	32.3%	23%	19.5%	23.5%	18.7%
95	23.3%	30.7%	21.6%	18.4%	22.1%	17.5%
94	21.8%	28.9%	20.1%	17.2%	20.8%	16.4%
93	20.6%	27.3%	18.7%	16.2%	19.6%	15.3%
92	19.4%	25.7%	17.5%	15.2%	18.4%	14.3%
91	18.1%	24%	16%	14.2%	17.3%	13.3%
90	17.4%	22.9%	15.3%	13.3%	16.2%	12.4%
89	16.1%	21.3%	13.9%	12.4%	15.1%	11.6%
88	15.2%	20%	13%	11.6%	14.2%	10.8%
87	14.2%	18.6%	12%	10.8%	13.2%	9.99%
86	13.3%	17.3%	11.1%	10%	12.3%	9.27%
85	12.3%	16%	10.2%	9.34%	11.5%	8.59%
84	11.4%	14.9%	9.37%	8.68%	10.7%	7.96%
83	10.4%	13.7%	8.46%	8.06%	9.91%	7.37%
82	9.6%	12.6%	7.7%	7.48%	9.19%	6.82%
81	8.6%	11.4%	6.8%	6.95%	8.54%	6.3%
80	8.09%	10.6%	6.4%	6.45%	7.91%	5.82%
79	7.47%	9.73%	5.95%	5.99%	7.29%	5.4%
78	7.01%	9.02%	5.65%	5.55%	6.8%	4.95%
77	6.47%	8.26%	5.24%	5.14%	6.3%	4.56%
76	6.05%	7.65%	4.95%	4.77%	5.7%	4.29%
75	5.63%	7.08%	4.66%	4.39%	5.46%	3.84%
74	5.22%	6.52%	4.35%	4.02%	5.76%	3.09%
73	4.83%	6.02%	4.06%	3.72%	5.6%	2.68%
72	4.5%	5.58%	3.8%	3.45%	5.12%	2.49%
71	4.12%	5.1%	3.49%	3.17%	4.76%	2.22%
70	3.91%	4.8%	3.33%	2.9%	4.43%	1.95%
69	3.59%	4.41%	3.06%	2.66%	4.04%	1.76%
68	3.37%	4.12%	2.88%	2.45%	3.71%	1.57%
67	3.16%	3.84%	2.7%	2.26%	3.45%	1.4%
66	2.97%	3.6%	2.54%	2.1%	3.21%	1.27%
65	2.83%	3.4%	2.41%	1.95%	3.01%	1.15%
64	2.61%	3.15%	2.2%	1.84%	2.84%	1.05%
63	2.42%	2.92%	2.02%	1.74%	2.67%	0.95%
62	2.25%	2.71%	1.86%	1.6%	2.48%	0.87%
61	2.06%	2.49%	1.7%	1.47%	2.29%	0.78%
60	1.94%	2.34%	1.58%	1.34%	2.1%	0.71%
59	1.78%	2.14%	1.44%	1.23%	1.92%	0.64%
58	1.66%	1.99%	1.34%	1.11%	1.76%	0.58%
57	1.54%	1.85%	1.24%	1.03%	1.61%	0.53%
56	1.44%	1.73%	1.16%	0.98%	1.49%	0.49%
55	1.35%	1.62%	1.09%	0.89%	1.39%	0.46%
54	1.26%	1.52%	1.02%	0.81%	1.3%	0.43%
53	1.18%	1.42%	0.95%	0.77%	1.22%	0.4%
52	1.11%	1.34%	0.9%	0.73%	1.14%	0.38%
51	1.03%	1.24%	0.83%	0.69%	1.06%	0.35%
50	0.97%	1.17%	0.79%	0.64%	0.99%	0.33%
49	0.9%	1.08%	0.73%	0.6%	0.92%	0.31%
48	0.84%	1.01%	0.68%	0.56%	0.86%	0.29%
47	0.78%	0.94%	0.63%	0.53%	0.8%	0.28%
46	0.73%	0.88%	0.59%	0.5%	0.75%	0.26%
45	0.69%	0.83%	0.56%	0.47%	0.71%	0.24%
44	0.64%	0.77%	0.52%	0.45%	0.67%	0.23%
43	0.6%	0.72%	0.49%	0.43%	0.63%	0.21%
42	0.57%	0.68%	0.47%	0.4%	0.6%	0.2%
41	0.53%	0.63%	0.44%	0.38%	0.56%	0.19%
40	0.51%	0.6%	0.42%	0.35%	0.53%	0.18%
39	0.47%	0.56%	0.39%	0.33%	0.49%	0.17%
38	0.45%	0.53%	0.37%	0.31%	0.46%	0.15%
37	0.42%	0.5%	0.34%	0.28%	0.42%	0.14%
36	0.39%	0.47%	0.33%	0.26%	0.39%	0.13%
35	0.37%	0.44%	0.31%	0.24%	0.35%	0.11%
34	0.35%	0.41%	0.29%	0.21%	0.32%	0.1%
33	0.33%	0.39%	0.27%	0.19%	0.29%	0.09%
32	0.31%	0.37%	0.25%	0.18%	0.27%	0.08%
31	0.29%	0.34%	0.24%	0.16%	0.24%	0.08%
30	0.28%	0.33%	0.23%	0.15%	0.22%	0.07%
29	0.26%	0.31%	0.21%	0.13%	0.2%	0.06%
28	0.25%	0.3%	0.2%	0.12%	0.18%	0.06%
27	0.24%	0.28%	0.19%	0.11%	0.16%	0.05%
26	0.22%	0.27%	0.18%	0.1%	0.15%	0.04%
25	0.21%	0.26%	0.17%	0.09%	0.13%	0.04%
24	0.2%	0.25%	0.16%	0.08%	0.12%	0.03%
23	0.19%	0.24%	0.15%	0.07%	0.11%	0.03%
22	0.18%	0.23%	0.14%	0.07%	0.1%	0.03%
21	0.17%	0.21%	0.13%	0.06%	0.1%	0.03%
20	0.16%	0.2%	0.13%	0.06%	0.09%	0.03%
19	0.15%	0.18%	0.12%	0.05%	0.08%	0.03%
18	0.14%	0.17%	0.11%	0.05%	0.07%	0.03%
17	0.12%	0.14%	0.1%	0.04%	0.06%	0.02%
16	0.1%	0.12%	0.09%	0.03%	0.05%	0.02%
15	0.09%	0.1%	0.08%	0.03%	0.04%	0.02%
14	0.08%	0.09%	0.07%	0.02%	0.03%	0.02%
13	0.07%	0.08%	0.06%	0.02%	0.02%	0.01%
12	0.06%	0.07%	0.06%	0.01%	0.02%	0.01%
11	0.06%	0.07%	0.05%	0.01%	0.01%	0.01%
10	0.06%	0.07%	0.05%	0.01%	0.01%	0.01%
9	0.06%	0.07%	0.06%	0.01%	0.01%	0.009%
8	0.07%	0.07%	0.06%	0.01%	0.01%	0.009%
7	0.08%	0.08%	0.07%	0.01%	0.01%	0.01%
6	0.08%	0.09%	0.08%	0.01%	0.01%	0.01%
5	0.1%	0.11%	0.09%	0.01%	0.02%	0.01%
4	0.13%	0.14%	0.12%	0.02%	0.02%	0.01%
3	0.18%	0.18%	0.17%	0.02%	0.02%	0.02%
2	0.25%	0.26%	0.25%	0.02%	0.03%	0.02%
1	0.41%	0.41%	0.4%	0.03%	0.03%	0.03%
0	2.69%	2.99%	2.38%	0.47%	0.53%	0.4%

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

The annual chance of dying is 2.69% in the birth year in Tanzania and 0.47% in Ukraine, 0.28% vs 0.15% at age 30, 1.94% vs 1.34% at 60, and 8.09% vs 6.45% at 80.

Death rate by age in Tanzania vs Ukraine

Chart Table

Tanzania

Male

Female

Ukraine

Male

Female

1x

Age	Death rate
	Tanzania			Ukraine
	Total	Male	Female	Total	Male	Female
100	140.1	0.71	294.9	520	187.1	804
99	266.5	72.6	478	697	312	1,027
98	344	107.1	602	843	400	1,226
97	444	155.1	756	1,003	504	1,437
96	562	218.8	930	1,176	622	1,657
95	695	300	1,116	1,355	753	1,880
94	834	398	1,297	1,538	896	2,105
93	989	516	1,486	1,722	1,049	2,325
92	1,159	656	1,682	1,905	1,208	2,534
91	1,316	805	1,836	2,083	1,370	2,728
90	1,536	994	2,078	2,247	1,532	2,902
89	1,690	1,174	2,190	2,394	1,689	3,054
88	1,881	1,377	2,351	2,526	1,838	3,182
87	2,045	1,575	2,462	2,635	1,977	3,283
86	2,207	1,777	2,566	2,728	2,100	3,358
85	2,336	1,957	2,629	2,799	2,208	3,406
84	2,452	2,143	2,662	2,848	2,300	3,428
83	2,499	2,269	2,625	2,876	2,372	3,427
82	2,540	2,389	2,588	2,883	2,423	3,405
81	2,490	2,434	2,451	2,879	2,461	3,354
80	2,549	2,548	2,467	2,856	2,476	3,291
79	2,545	2,586	2,439	2,823	2,462	3,227
78	2,569	2,636	2,453	2,767	2,465	3,114
77	2,533	2,630	2,402	2,704	2,438	3,006
76	2,519	2,638	2,384	2,632	2,339	2,950
75	2,489	2,625	2,358	2,537	2,366	2,745
74	2,431	2,589	2,297	2,422	2,649	2,281
73	2,367	2,543	2,235	2,322	2,728	2,032
72	2,309	2,496	2,179	2,232	2,633	1,935
71	2,205	2,404	2,072	2,121	2,568	1,771
70	2,174	2,375	2,046	1,994	2,502	1,584
69	2,072	2,284	1,936	1,879	2,374	1,455
68	2,015	2,226	1,877	1,777	2,266	1,322
67	1,948	2,160	1,806	1,674	2,182	1,194
66	1,889	2,097	1,743	1,592	2,099	1,095
65	1,848	2,051	1,698	1,510	2,032	1,006
64	1,753	1,961	1,588	1,451	1,971	922
63	1,666	1,874	1,488	1,397	1,900	847
62	1,583	1,789	1,396	1,305	1,815	778
61	1,484	1,686	1,293	1,219	1,717	709
60	1,422	1,617	1,227	1,125	1,608	646
59	1,327	1,514	1,135	1,045	1,496	589
58	1,257	1,436	1,069	953	1,392	538
57	1,185	1,359	1,002	890	1,300	495
56	1,126	1,294	949	855	1,220	458
55	1,069	1,234	895	783	1,152	427
54	1,015	1,174	848	721	1,091	400
53	962	1,116	802	689	1,035	377
52	914	1,062	763	659	979	356
51	856	999	711	627	923	336
50	817	955	680	591	868	318
49	761	892	633	556	814	299.8
48	716	840	596	523	765	282.7
47	671	789	558	495	721	266.1
46	632	744	525	468	682	250.3
45	599	705	498	444	647	235.4
44	563	661	469	424	616	221.5
43	533	625	445	405	586	208.6
42	507	593	423	382	556	196.8
41	476	557	397	360	527	185.5
40	455	533	380	339	496	174.4
39	428	500	357	317	466	162.9
38	405	473	338	297.8	435	150.8
37	382	446	318	275.1	403	138.1
36	361	420	301	250.9	372	125.3
35	341	398	284.4	229.8	342	112.9
34	321	375	266.3	209.3	313	101.7
33	303	353	251.3	190.4	284.9	91.9
32	286.8	335	237.8	173.2	259.3	83.6
31	269.7	316	222.6	157.5	235.5	76.5
30	258.9	303	213.8	143	213.8	70.2
29	245	287.2	202.1	129.6	193.8	63.9
28	233.1	274.4	191	117	175.4	57.5
27	222.2	262.5	181.1	105.3	158.8	50.9
26	211.5	251.5	171	94.8	143.9	44.6
25	201.9	242.2	161.1	85.4	130.9	38.9
24	192.7	232.5	152.5	77.5	119.6	34.2
23	183.7	223.1	143.7	71.2	110.4	30.9
22	174.2	212.6	135.4	66.1	102.4	28.7
21	164	200.4	127	61.8	94.9	27.6
20	154.3	187.4	120.7	57.5	87	27
19	142.8	172.9	112.2	52.5	77.6	26.5
18	130.5	157.1	103.4	46.7	66.9	25.5
17	114.1	134.6	93.3	40.2	55.6	23.8
16	98.8	113.8	83.6	33.3	44.7	21.3
15	85	95.7	74	27	35	18.6
14	73.3	81.7	64.7	21.6	27	15.8
13	65.1	71.8	58.2	17.4	21.2	13.4
12	60	66.3	53.6	14.4	17.2	11.6
11	57.8	63.8	51.6	12.5	14.6	10.3
10	57.7	63	52.2	11.3	13	9.54
9	59.9	65.2	54.4	10.8	12.3	9.23
8	64.7	70.4	58.8	10.8	12.3	9.36
7	72.2	78.1	66.1	11.4	12.9	9.93
6	81.7	87.3	76	12.6	14.1	11
5	96.7	101.8	91.4	14.4	16.2	12.6
4	125.6	131.7	119.3	16.9	19.1	14.7
3	171.2	177.9	164.3	20.3	23	17.6
2	246.7	252.7	240.5	24.8	28.1	21.4
1	394	394	394	30.5	34.6	26.2
0	2,690	2,990	2,383	469	533	401

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 82 in Ukraine. The median age of death is 72.6 in Tanzania and 78 in Ukraine, 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 Ukraine more than their death rates.

Life expectancy in other countries

+ -

1x