Life Expectancy in Tanzania vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Tanzania

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Tanzania			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	102.5	101.9	102.6	102.2	101.9	102.2
99	101.7	101	101.7	101.2	101	101.3
98	100.8	100.1	100.9	100.4	100.1	100.4
97	100	99.2	100.1	99.5	99.2	99.5
96	99.1	98.4	99.3	98.6	98.4	98.7
95	98.3	97.5	98.4	97.7	97.5	97.8
94	97.4	96.6	97.7	96.9	96.6	97
93	96.6	95.8	96.9	96	95.7	96.1
92	95.8	94.9	96.1	95.2	94.9	95.3
91	95.1	94.1	95.4	94.4	94	94.5
90	94.3	93.3	94.6	93.6	93.2	93.8
89	93.5	92.5	93.9	92.8	92.4	93
88	92.7	91.7	93.2	92	91.6	92.2
87	92	90.9	92.5	91.2	90.8	91.5
86	91.3	90.1	91.9	90.5	90	90.8
85	90.6	89.4	91.2	89.8	89.2	90.1
84	89.9	88.7	90.6	89	88.4	89.4
83	89.2	88	90	88.4	87.7	88.7
82	88.6	87.3	89.4	87.7	87	88.1
81	87.9	86.6	88.9	87	86.3	87.5
80	87.3	86	88.3	86.4	85.6	86.9
79	86.8	85.3	87.8	85.8	84.9	86.3
78	86.2	84.7	87.3	85.1	84.2	85.7
77	85.6	84.1	86.8	84.5	83.6	85.2
76	85.1	83.5	86.3	83.9	83	84.6
75	84.5	83	85.8	83.4	82.3	84.1
74	84	82.4	85.3	82.8	81.7	83.5
73	83.5	81.9	84.8	82.2	81.2	83
72	83	81.4	84.3	81.7	80.6	82.5
71	82.5	80.9	83.9	81.2	80	82.1
70	82.1	80.4	83.4	80.7	79.5	81.6
69	81.6	79.9	83	80.2	79	81.1
68	81.2	79.4	82.6	79.7	78.4	80.7
67	80.7	79	82.2	79.2	77.9	80.2
66	80.3	78.5	81.8	78.8	77.5	79.8
65	79.9	78.1	81.4	78.3	77	79.4
64	79.5	77.6	81	77.9	76.5	79
63	79.1	77.2	80.7	77.5	76.1	78.6
62	78.7	76.8	80.3	77.1	75.6	78.2
61	78.4	76.4	80	76.7	75.2	77.9
60	78	76.1	79.7	76.3	74.8	77.5
59	77.7	75.7	79.4	75.9	74.4	77.2
58	77.4	75.4	79.1	75.6	74	76.9
57	77.1	75	78.9	75.2	73.6	76.6
56	76.8	74.7	78.6	74.9	73.2	76.3
55	76.5	74.4	78.3	74.6	72.8	76
54	76.2	74.1	78.1	74.2	72.5	75.7
53	75.9	73.8	77.9	73.9	72.1	75.4
52	75.7	73.5	77.6	73.6	71.8	75.1
51	75.4	73.3	77.4	73.3	71.4	74.8
50	75.2	73	77.2	73	71.1	74.6
49	75	72.7	77	72.7	70.8	74.3
48	74.7	72.5	76.8	72.5	70.5	74
47	74.5	72.3	76.6	72.2	70.2	73.8
46	74.3	72	76.5	71.9	69.9	73.6
45	74.1	71.8	76.3	71.7	69.6	73.3
44	73.9	71.6	76.1	71.4	69.3	73.1
43	73.8	71.4	76	71.2	69	72.9
42	73.6	71.2	75.8	70.9	68.7	72.7
41	73.4	71	75.6	70.7	68.5	72.5
40	73.2	70.8	75.5	70.5	68.2	72.2
39	73.1	70.7	75.4	70.2	68	72
38	72.9	70.5	75.2	70	67.8	71.9
37	72.8	70.3	75.1	69.8	67.5	71.7
36	72.6	70.2	75	69.6	67.3	71.5
35	72.5	70	74.8	69.4	67.1	71.3
34	72.4	69.9	74.7	69.2	66.9	71.1
33	72.2	69.7	74.6	69	66.7	71
32	72.1	69.6	74.5	68.9	66.5	70.8
31	72	69.5	74.4	68.7	66.3	70.6
30	71.9	69.3	74.3	68.5	66.2	70.5
29	71.8	69.2	74.2	68.4	66	70.4
28	71.7	69.1	74.1	68.2	65.8	70.2
27	71.6	69	74	68.1	65.7	70.1
26	71.4	68.9	73.9	68	65.5	70
25	71.4	68.7	73.9	67.8	65.4	69.8
24	71.3	68.6	73.8	67.7	65.3	69.7
23	71.2	68.5	73.7	67.6	65.1	69.6
22	71.1	68.4	73.6	67.5	65	69.5
21	71	68.3	73.6	67.4	64.9	69.4
20	70.9	68.2	73.5	67.3	64.8	69.3
19	70.8	68.1	73.4	67.2	64.7	69.3
18	70.8	68.1	73.4	67.1	64.6	69.2
17	70.7	68	73.3	67	64.5	69.1
16	70.6	67.9	73.3	67	64.4	69.1
15	70.6	67.9	73.2	66.9	64.4	69
14	70.5	67.8	73.2	66.8	64.3	69
13	70.5	67.8	73.2	66.8	64.3	68.9
12	70.5	67.7	73.1	66.8	64.2	68.9
11	70.4	67.7	73.1	66.7	64.2	68.8
10	70.4	67.7	73.1	66.7	64.2	68.8
9	70.4	67.6	73	66.6	64.1	68.8
8	70.3	67.6	73	66.6	64.1	68.7
7	70.3	67.5	72.9	66.5	64	68.7
6	70.2	67.5	72.9	66.5	64	68.6
5	70.2	67.4	72.8	66.4	63.9	68.5
4	70.1	67.3	72.7	66.3	63.8	68.4
3	69.9	67.2	72.6	66.2	63.6	68.3
2	69.8	67	72.4	66	63.5	68.1
1	69.5	66.8	72.2	65.6	63.2	67.7
0	67.6	64.8	70.4	63.6	61	65.9

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 68.5 in Zimbabwe, rising to 79.9 and 78.3 at 65, and to 87.3 and 86.4 at 80 — higher than the 67.6 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Tanzania

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Tanzania			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	0.67%	0.12%	1.28%	0.2%	0.07%	0.33%
99	0.94%	0.2%	1.76%	0.31%	0.12%	0.5%
98	1.29%	0.3%	2.36%	0.46%	0.18%	0.73%
97	1.73%	0.46%	3.12%	0.66%	0.27%	1.05%
96	2.29%	0.68%	4.05%	0.94%	0.4%	1.47%
95	2.99%	0.98%	5.16%	1.3%	0.59%	2.02%
94	3.82%	1.38%	6.46%	1.77%	0.83%	2.71%
93	4.81%	1.89%	7.95%	2.36%	1.15%	3.55%
92	5.97%	2.55%	9.63%	3.08%	1.57%	4.57%
91	7.28%	3.35%	11.5%	3.95%	2.09%	5.75%
90	8.82%	4.35%	13.5%	4.99%	2.73%	7.15%
89	10.5%	5.52%	15.7%	6.18%	3.51%	8.72%
88	12.4%	6.9%	18.1%	7.56%	4.44%	10.5%
87	14.4%	8.47%	20.5%	9.1%	5.53%	12.4%
86	16.6%	10.2%	23.1%	10.8%	6.78%	14.5%
85	19%	12.2%	25.7%	12.7%	8.2%	16.8%
84	21.4%	14.3%	28.4%	14.7%	9.78%	19.1%
83	23.9%	16.6%	31%	16.8%	11.5%	21.5%
82	26.5%	19%	33.6%	19%	13.4%	24%
81	29%	21.4%	36.1%	21.2%	15.4%	26.4%
80	31.5%	24%	38.5%	23.5%	17.5%	28.8%
79	34.1%	26.6%	41%	25.9%	19.7%	31.3%
78	36.6%	29.2%	43.4%	28.3%	21.9%	33.8%
77	39.2%	31.8%	45.8%	30.7%	24.3%	36.3%
76	41.7%	34.5%	48.2%	33.2%	26.6%	38.7%
75	44.2%	37.1%	50.6%	35.6%	29%	41.2%
74	46.6%	39.7%	52.9%	38%	31.4%	43.6%
73	49%	42.2%	55.1%	40.4%	33.9%	45.9%
72	51.3%	44.7%	57.3%	42.8%	36.3%	48.2%
71	53.5%	47.1%	59.4%	45.1%	38.6%	50.4%
70	55.7%	49.5%	61.4%	47.3%	40.9%	52.6%
69	57.7%	51.8%	63.3%	49.5%	43.2%	54.7%
68	59.7%	54%	65.2%	51.6%	45.4%	56.7%
67	61.7%	56.2%	67%	53.6%	47.6%	58.6%
66	63.6%	58.3%	68.8%	55.6%	49.7%	60.5%
65	65.4%	60.3%	70.5%	57.6%	51.8%	62.3%
64	67.2%	62.3%	72%	59.5%	53.8%	64%
63	68.8%	64.2%	73.5%	61.2%	55.8%	65.7%
62	70.4%	66%	74.9%	63%	57.7%	67.2%
61	71.9%	67.6%	76.2%	64.6%	59.5%	68.7%
60	73.3%	69.3%	77.5%	66.2%	61.2%	70.1%
59	74.7%	70.8%	78.6%	67.6%	62.9%	71.4%
58	75.9%	72.2%	79.7%	69.1%	64.5%	72.7%
57	77.1%	73.6%	80.7%	70.4%	66%	73.9%
56	78.2%	74.9%	81.6%	71.7%	67.5%	75%
55	79.3%	76.1%	82.5%	72.9%	69%	76.1%
54	80.3%	77.3%	83.3%	74.1%	70.3%	77.2%
53	81.3%	78.4%	84.2%	75.2%	71.7%	78.2%
52	82.2%	79.4%	84.9%	76.3%	73%	79.1%
51	83%	80.4%	85.6%	77.4%	74.2%	80.1%
50	83.9%	81.4%	86.3%	78.4%	75.4%	81%
49	84.6%	82.3%	86.9%	79.4%	76.6%	81.8%
48	85.3%	83.1%	87.5%	80.3%	77.7%	82.6%
47	86%	83.9%	88.1%	81.2%	78.7%	83.4%
46	86.6%	84.7%	88.6%	82%	79.7%	84.1%
45	87.2%	85.4%	89.1%	82.9%	80.7%	84.8%
44	87.8%	86%	89.6%	83.6%	81.6%	85.5%
43	88.3%	86.7%	90%	84.4%	82.5%	86.1%
42	88.8%	87.2%	90.5%	85.1%	83.3%	86.7%
41	89.3%	87.8%	90.8%	85.8%	84.1%	87.3%
40	89.8%	88.3%	91.2%	86.4%	84.9%	87.9%
39	90.2%	88.8%	91.6%	87.1%	85.6%	88.4%
38	90.6%	89.3%	91.9%	87.7%	86.3%	89%
37	91%	89.8%	92.2%	88.2%	86.9%	89.5%
36	91.3%	90.2%	92.5%	88.8%	87.5%	89.9%
35	91.7%	90.6%	92.8%	89.3%	88.1%	90.4%
34	92%	90.9%	93.1%	89.8%	88.7%	90.8%
33	92.3%	91.3%	93.3%	90.2%	89.2%	91.2%
32	92.6%	91.6%	93.6%	90.7%	89.7%	91.6%
31	92.9%	92%	93.8%	91.1%	90.1%	91.9%
30	93.1%	92.3%	94%	91.4%	90.6%	92.3%
29	93.4%	92.5%	94.2%	91.8%	91%	92.6%
28	93.6%	92.8%	94.4%	92.1%	91.4%	92.9%
27	93.8%	93.1%	94.6%	92.5%	91.7%	93.2%
26	94%	93.3%	94.8%	92.8%	92.1%	93.5%
25	94.2%	93.6%	94.9%	93.1%	92.4%	93.7%
24	94.4%	93.8%	95.1%	93.3%	92.7%	93.9%
23	94.6%	94%	95.2%	93.6%	93%	94.2%
22	94.8%	94.2%	95.4%	93.8%	93.3%	94.4%
21	95%	94.4%	95.5%	94%	93.5%	94.5%
20	95.1%	94.6%	95.6%	94.2%	93.8%	94.7%
19	95.3%	94.8%	95.7%	94.4%	94%	94.9%
18	95.4%	95%	95.8%	94.6%	94.2%	95%
17	95.5%	95.1%	95.9%	94.7%	94.3%	95.1%
16	95.6%	95.2%	96%	94.8%	94.5%	95.2%
15	95.7%	95.3%	96.1%	94.9%	94.6%	95.3%
14	95.8%	95.4%	96.1%	95%	94.7%	95.4%
13	95.8%	95.5%	96.2%	95.1%	94.8%	95.5%
12	95.9%	95.5%	96.2%	95.2%	94.8%	95.6%
11	95.9%	95.6%	96.3%	95.3%	94.9%	95.6%
10	96%	95.7%	96.4%	95.3%	95%	95.7%
9	96.1%	95.7%	96.4%	95.4%	95.1%	95.8%
8	96.1%	95.8%	96.5%	95.5%	95.1%	95.8%
7	96.2%	95.9%	96.5%	95.6%	95.2%	95.9%
6	96.3%	96%	96.6%	95.7%	95.3%	96%
5	96.4%	96.1%	96.7%	95.8%	95.5%	96.1%
4	96.5%	96.2%	96.8%	95.9%	95.6%	96.3%
3	96.7%	96.4%	97%	96.2%	95.8%	96.5%
2	96.9%	96.6%	97.2%	96.5%	96.1%	96.8%
1	97.3%	97%	97.6%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 73.3% of newborns in Tanzania and 66.2% in Zimbabwe are expected to live past 60, 55.7% and 47.3% past 70, 31.5% and 23.5% past 80, and only 8.82% and 4.99% 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

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Tanzania			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	29.4%	38.6%	28.4%	35.7%	38.2%	35%
99	28.3%	37.1%	27.2%	34.3%	36.9%	33.6%
98	26.8%	35.3%	25.5%	32.4%	35.2%	31.7%
97	25.7%	33.9%	24.3%	31.1%	33.9%	30.2%
96	24.5%	32.3%	23%	29.6%	32.5%	28.7%
95	23.3%	30.7%	21.6%	28.1%	31%	27.1%
94	21.8%	28.9%	20.1%	26.4%	29.5%	25.4%
93	20.6%	27.3%	18.7%	24.9%	27.9%	23.7%
92	19.4%	25.7%	17.5%	23.5%	26.4%	22.2%
91	18.1%	24%	16%	21.9%	24.9%	20.6%
90	17.4%	22.9%	15.3%	20.9%	23.7%	19.6%
89	16.1%	21.3%	13.9%	19.3%	22.2%	18%
88	15.2%	20%	13%	18.2%	20.9%	16.8%
87	14.2%	18.6%	12%	16.9%	19.7%	15.6%
86	13.3%	17.3%	11.1%	15.8%	18.5%	14.5%
85	12.3%	16%	10.2%	14.7%	17.3%	13.3%
84	11.4%	14.9%	9.37%	13.6%	16.2%	12.3%
83	10.4%	13.7%	8.46%	12.5%	15%	11.2%
82	9.6%	12.6%	7.7%	11.6%	14%	10.2%
81	8.6%	11.4%	6.8%	10.5%	12.9%	9.17%
80	8.09%	10.6%	6.4%	9.89%	12.1%	8.58%
79	7.47%	9.73%	5.95%	9.11%	11.1%	7.87%
78	7.01%	9.02%	5.65%	8.54%	10.4%	7.38%
77	6.47%	8.26%	5.24%	7.89%	9.57%	6.81%
76	6.05%	7.65%	4.95%	7.37%	8.9%	6.37%
75	5.63%	7.08%	4.66%	6.87%	8.28%	5.94%
74	5.22%	6.52%	4.35%	6.38%	7.68%	5.51%
73	4.83%	6.02%	4.06%	5.92%	7.12%	5.11%
72	4.5%	5.58%	3.8%	5.51%	6.62%	4.76%
71	4.12%	5.1%	3.49%	5.06%	6.09%	4.37%
70	3.91%	4.8%	3.33%	4.75%	5.7%	4.11%
69	3.59%	4.41%	3.06%	4.38%	5.25%	3.78%
68	3.37%	4.12%	2.88%	4.09%	4.9%	3.54%
67	3.16%	3.84%	2.7%	3.82%	4.56%	3.31%
66	2.97%	3.6%	2.54%	3.58%	4.26%	3.1%
65	2.83%	3.4%	2.41%	3.38%	4.01%	2.93%
64	2.61%	3.15%	2.2%	3.14%	3.74%	2.7%
63	2.42%	2.92%	2.02%	2.92%	3.5%	2.49%
62	2.25%	2.71%	1.86%	2.73%	3.28%	2.31%
61	2.06%	2.49%	1.7%	2.53%	3.04%	2.13%
60	1.94%	2.34%	1.58%	2.37%	2.87%	1.99%
59	1.78%	2.14%	1.44%	2.19%	2.65%	1.85%
58	1.66%	1.99%	1.34%	2.04%	2.48%	1.73%
57	1.54%	1.85%	1.24%	1.91%	2.33%	1.62%
56	1.44%	1.73%	1.16%	1.79%	2.2%	1.53%
55	1.35%	1.62%	1.09%	1.69%	2.09%	1.44%
54	1.26%	1.52%	1.02%	1.6%	1.97%	1.36%
53	1.18%	1.42%	0.95%	1.52%	1.87%	1.29%
52	1.11%	1.34%	0.9%	1.44%	1.78%	1.23%
51	1.03%	1.24%	0.83%	1.36%	1.68%	1.15%
50	0.97%	1.17%	0.79%	1.3%	1.6%	1.1%
49	0.9%	1.08%	0.73%	1.22%	1.5%	1.03%
48	0.84%	1.01%	0.68%	1.16%	1.41%	0.98%
47	0.78%	0.94%	0.63%	1.09%	1.33%	0.92%
46	0.73%	0.88%	0.59%	1.04%	1.25%	0.87%
45	0.69%	0.83%	0.56%	0.99%	1.19%	0.83%
44	0.64%	0.77%	0.52%	0.93%	1.12%	0.78%
43	0.6%	0.72%	0.49%	0.89%	1.06%	0.75%
42	0.57%	0.68%	0.47%	0.84%	1%	0.71%
41	0.53%	0.63%	0.44%	0.8%	0.95%	0.68%
40	0.51%	0.6%	0.42%	0.76%	0.9%	0.65%
39	0.47%	0.56%	0.39%	0.72%	0.85%	0.62%
38	0.45%	0.53%	0.37%	0.68%	0.8%	0.59%
37	0.42%	0.5%	0.34%	0.64%	0.75%	0.55%
36	0.39%	0.47%	0.33%	0.61%	0.71%	0.53%
35	0.37%	0.44%	0.31%	0.57%	0.66%	0.5%
34	0.35%	0.41%	0.29%	0.54%	0.62%	0.47%
33	0.33%	0.39%	0.27%	0.5%	0.58%	0.44%
32	0.31%	0.37%	0.25%	0.47%	0.54%	0.41%
31	0.29%	0.34%	0.24%	0.44%	0.51%	0.39%
30	0.28%	0.33%	0.23%	0.42%	0.48%	0.37%
29	0.26%	0.31%	0.21%	0.4%	0.45%	0.35%
28	0.25%	0.3%	0.2%	0.37%	0.42%	0.33%
27	0.24%	0.28%	0.19%	0.35%	0.4%	0.31%
26	0.22%	0.27%	0.18%	0.33%	0.37%	0.29%
25	0.21%	0.26%	0.17%	0.31%	0.35%	0.26%
24	0.2%	0.25%	0.16%	0.29%	0.33%	0.25%
23	0.19%	0.24%	0.15%	0.27%	0.31%	0.23%
22	0.18%	0.23%	0.14%	0.25%	0.29%	0.21%
21	0.17%	0.21%	0.13%	0.23%	0.27%	0.19%
20	0.16%	0.2%	0.13%	0.21%	0.25%	0.18%
19	0.15%	0.18%	0.12%	0.19%	0.22%	0.16%
18	0.14%	0.17%	0.11%	0.17%	0.2%	0.15%
17	0.12%	0.14%	0.1%	0.15%	0.17%	0.13%
16	0.1%	0.12%	0.09%	0.13%	0.14%	0.12%
15	0.09%	0.1%	0.08%	0.11%	0.12%	0.1%
14	0.08%	0.09%	0.07%	0.1%	0.1%	0.09%
13	0.07%	0.08%	0.06%	0.08%	0.09%	0.08%
12	0.06%	0.07%	0.06%	0.08%	0.08%	0.07%
11	0.06%	0.07%	0.05%	0.07%	0.08%	0.07%
10	0.06%	0.07%	0.05%	0.07%	0.08%	0.07%
9	0.06%	0.07%	0.06%	0.08%	0.08%	0.07%
8	0.07%	0.07%	0.06%	0.08%	0.09%	0.08%
7	0.08%	0.08%	0.07%	0.09%	0.1%	0.09%
6	0.08%	0.09%	0.08%	0.1%	0.11%	0.1%
5	0.1%	0.11%	0.09%	0.12%	0.13%	0.12%
4	0.13%	0.14%	0.12%	0.16%	0.17%	0.16%
3	0.18%	0.18%	0.17%	0.22%	0.22%	0.22%
2	0.25%	0.26%	0.25%	0.32%	0.32%	0.32%
1	0.41%	0.41%	0.4%	0.5%	0.48%	0.52%
0	2.69%	2.99%	2.38%	3.05%	3.4%	2.7%

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

The annual chance of dying is 2.69% in the birth year in Tanzania and 3.05% in Zimbabwe, 0.28% vs 0.42% at age 30, 1.94% vs 2.37% at 60, and 8.09% vs 9.89% at 80.

Death rate by age in Tanzania vs Zimbabwe

Chart Table

Tanzania

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Tanzania			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	140.1	0.71	294.9	24.9	0	53
99	266.5	72.6	478	105.4	43.2	168.4
98	344	107.1	602	147.6	63.5	232.4
97	444	155.1	756	205	92.4	318
96	562	218.8	930	277.6	131.3	423
95	695	300	1,116	366	181.8	548
94	834	398	1,297	469	244.7	687
93	989	516	1,486	588	322	843
92	1,159	656	1,682	724	414	1,016
91	1,316	805	1,836	863	518	1,184
90	1,536	994	2,078	1,040	647	1,401
89	1,690	1,174	2,190	1,196	779	1,570
88	1,881	1,377	2,351	1,372	930	1,762
87	2,045	1,575	2,462	1,540	1,088	1,934
86	2,207	1,777	2,566	1,709	1,253	2,102
85	2,336	1,957	2,629	1,858	1,418	2,232
84	2,452	2,143	2,662	1,999	1,583	2,345
83	2,499	2,269	2,625	2,102	1,730	2,403
82	2,540	2,389	2,588	2,197	1,873	2,450
81	2,490	2,434	2,451	2,235	1,982	2,419
80	2,549	2,548	2,467	2,328	2,113	2,474
79	2,545	2,586	2,439	2,358	2,186	2,465
78	2,569	2,636	2,453	2,416	2,272	2,497
77	2,533	2,630	2,402	2,424	2,321	2,470
76	2,519	2,638	2,384	2,444	2,370	2,468
75	2,489	2,625	2,358	2,448	2,404	2,446
74	2,431	2,589	2,297	2,427	2,414	2,401
73	2,367	2,543	2,235	2,393	2,412	2,346
72	2,309	2,496	2,179	2,356	2,400	2,294
71	2,205	2,404	2,072	2,281	2,352	2,203
70	2,174	2,375	2,046	2,250	2,336	2,164
69	2,072	2,284	1,936	2,166	2,269	2,069
68	2,015	2,226	1,877	2,111	2,224	2,007
67	1,948	2,160	1,806	2,050	2,172	1,938
66	1,889	2,097	1,743	1,993	2,121	1,875
65	1,848	2,051	1,698	1,945	2,075	1,824
64	1,753	1,961	1,588	1,866	2,014	1,726
63	1,666	1,874	1,488	1,790	1,952	1,636
62	1,583	1,789	1,396	1,718	1,890	1,553
61	1,484	1,686	1,293	1,632	1,809	1,463
60	1,422	1,617	1,227	1,571	1,756	1,398
59	1,327	1,514	1,135	1,481	1,664	1,318
58	1,257	1,436	1,069	1,411	1,599	1,257
57	1,185	1,359	1,002	1,341	1,537	1,197
56	1,126	1,294	949	1,284	1,485	1,146
55	1,069	1,234	895	1,233	1,440	1,097
54	1,015	1,174	848	1,184	1,389	1,052
53	962	1,116	802	1,140	1,342	1,009
52	914	1,062	763	1,100	1,298	971
51	856	999	711	1,050	1,245	925
50	817	955	680	1,018	1,207	892
49	761	892	633	969	1,146	846
48	716	840	596	929	1,096	806
47	671	789	558	888	1,046	766
46	632	744	525	850	1,000	731
45	599	705	498	816	958	702
44	563	661	469	779	911	669
43	533	625	445	747	871	642
42	507	593	423	717	834	617
41	476	557	397	685	795	592
40	455	533	380	659	766	571
39	428	500	357	627	725	545
38	405	473	338	599	691	522
37	382	446	318	568	655	496
36	361	420	301	539	619	473
35	341	398	284.4	512	586	450
34	321	375	266.3	481	550	423
33	303	353	251.3	453	517	400
32	286.8	335	237.8	428	487	379
31	269.7	316	222.6	403	458	356
30	258.9	303	213.8	385	436	341
29	245	287.2	202.1	363	409	323
28	233.1	274.4	191	343	387	303
27	222.2	262.5	181.1	324	365	286.2
26	211.5	251.5	171	304	344	267.1
25	201.9	242.2	161.1	286.4	326	248.2
24	192.7	232.5	152.5	268.5	307	231.1
23	183.7	223.1	143.7	251.5	289	214.4
22	174.2	212.6	135.4	234.1	270.1	198.3
21	164	200.4	127	216.1	249.9	182.2
20	154.3	187.4	120.7	200.4	229.9	170.6
19	142.8	172.9	112.2	182.4	209.2	155.3
18	130.5	157.1	103.4	164.9	188.9	140.6
17	114.1	134.6	93.3	143.2	161.3	124.9
16	98.8	113.8	83.6	122.8	135.4	110
15	85	95.7	74	106.1	114.9	97.1
14	73.3	81.7	64.7	90.9	97.8	83.9
13	65.1	71.8	58.2	80.4	85.9	74.8
12	60	66.3	53.6	73.9	79.4	68.4
11	57.8	63.8	51.6	70.9	76.1	65.5
10	57.7	63	52.2	70.4	74.5	66.2
9	59.9	65.2	54.4	72.9	76.9	68.8
8	64.7	70.4	58.8	78.6	83.3	73.8
7	72.2	78.1	66.1	87.5	92.4	82.5
6	81.7	87.3	76	98.5	103	94
5	96.7	101.8	91.4	116.6	119.9	113.1
4	125.6	131.7	119.3	153.9	157.9	149.8
3	171.2	177.9	164.3	211.7	213.4	209.9
2	246.7	252.7	240.5	308	305	311
1	394	394	394	484	463	505
0	2,690	2,990	2,383	3,053	3,402	2,699

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 0 in Zimbabwe. The median age of death is 72.6 in Tanzania and 68.8 in Zimbabwe, 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 Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x