Life Expectancy in Kenya vs Zimbabwe (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Kenya vs Zimbabwe: 68.8 years vs 68.4 at 30, 79.1 vs 78.3 at 65, 87 vs 86.4 at 80 — significantly higher than the 64 vs 63.3 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Kenya and Zimbabwe.

Table

Current age, years	Total life expectancy, years
	Kenya			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	64	61.8	66.3	63.3	60.8	65.6
1	65.9	63.8	68	65.4	62.9	67.5
2	66.2	64.1	68.4	65.7	63.2	67.8
3	66.4	64.3	68.6	65.9	63.4	68.1
4	66.5	64.4	68.7	66.1	63.6	68.2
5	66.6	64.5	68.8	66.2	63.7	68.3
6	66.7	64.6	68.9	66.2	63.7	68.4
7	66.7	64.6	68.9	66.3	63.8	68.4
8	66.8	64.7	69	66.4	63.9	68.5
9	66.8	64.7	69	66.4	63.9	68.5
10	66.9	64.8	69.1	66.5	64	68.6
11	66.9	64.8	69.1	66.5	64	68.6
12	67	64.9	69.1	66.5	64	68.7
13	67	64.9	69.2	66.6	64.1	68.7
14	67	65	69.2	66.6	64.1	68.8
15	67.1	65	69.3	66.7	64.2	68.8
16	67.2	65.1	69.3	66.7	64.3	68.9
17	67.2	65.1	69.4	66.8	64.3	68.9
18	67.3	65.2	69.5	66.9	64.4	69
19	67.4	65.3	69.5	67	64.5	69.1
20	67.5	65.4	69.6	67.1	64.6	69.1
21	67.6	65.5	69.7	67.2	64.7	69.2
22	67.7	65.6	69.8	67.3	64.8	69.3
23	67.8	65.8	69.9	67.4	65	69.4
24	67.9	65.9	70	67.5	65.1	69.5
25	68	66	70.1	67.6	65.2	69.7
26	68.2	66.2	70.2	67.8	65.4	69.8
27	68.3	66.3	70.4	67.9	65.5	69.9
28	68.5	66.5	70.5	68.1	65.7	70
29	68.6	66.6	70.7	68.2	65.8	70.2
30	68.8	66.8	70.8	68.4	66	70.3
31	68.9	67	71	68.5	66.2	70.5
32	69.1	67.2	71.1	68.7	66.4	70.6
33	69.3	67.3	71.3	68.9	66.6	70.8
34	69.5	67.5	71.5	69.1	66.8	71
35	69.7	67.7	71.7	69.3	67	71.2
36	69.9	68	71.8	69.5	67.2	71.3
37	70.1	68.2	72	69.7	67.4	71.5
38	70.3	68.4	72.2	69.9	67.6	71.7
39	70.5	68.7	72.4	70.1	67.9	71.9
40	70.8	68.9	72.7	70.3	68.1	72.1
41	71	69.2	72.9	70.6	68.4	72.3
42	71.2	69.4	73.1	70.8	68.6	72.6
43	71.5	69.7	73.3	71	68.9	72.8
44	71.8	70	73.6	71.3	69.2	73
45	72	70.3	73.8	71.6	69.5	73.2
46	72.3	70.6	74	71.8	69.8	73.5
47	72.6	70.9	74.3	72.1	70.1	73.7
48	72.9	71.2	74.5	72.4	70.4	74
49	73.2	71.5	74.8	72.6	70.7	74.2
50	73.5	71.8	75.1	72.9	71	74.5
51	73.8	72.2	75.3	73.2	71.4	74.7
52	74.1	72.5	75.6	73.5	71.7	75
53	74.4	72.9	75.9	73.9	72.1	75.3
54	74.8	73.2	76.2	74.2	72.4	75.6
55	75.1	73.6	76.5	74.5	72.8	75.9
56	75.4	74	76.8	74.8	73.1	76.2
57	75.8	74.4	77.1	75.2	73.5	76.5
58	76.2	74.8	77.5	75.5	73.9	76.8
59	76.5	75.2	77.8	75.9	74.3	77.1
60	76.9	75.6	78.1	76.2	74.7	77.5
61	77.3	76.1	78.5	76.6	75.1	77.8
62	77.7	76.5	78.8	77	75.6	78.2
63	78.2	77	79.2	77.4	76	78.6
64	78.6	77.4	79.6	77.9	76.5	79
65	79.1	77.9	80	78.3	76.9	79.4
66	79.5	78.5	80.4	78.7	77.4	79.8
67	80	79	80.9	79.2	77.9	80.2
68	80.5	79.5	81.3	79.7	78.4	80.6
69	81	80	81.8	80.2	78.9	81.1
70	81.5	80.5	82.2	80.6	79.5	81.6
71	82	81.1	82.7	81.2	80	82
72	82.5	81.6	83.2	81.7	80.6	82.5
73	83	82.2	83.7	82.2	81.1	83
74	83.5	82.7	84.2	82.8	81.7	83.5
75	84.1	83.3	84.7	83.3	82.3	84.1
76	84.6	83.9	85.2	83.9	82.9	84.6
77	85.2	84.5	85.7	84.5	83.6	85.2
78	85.8	85.1	86.3	85.1	84.2	85.7
79	86.4	85.7	86.8	85.7	84.9	86.3
80	87	86.3	87.4	86.4	85.6	86.9
81	87.6	87	87.9	87	86.3	87.5
82	88.2	87.6	88.5	87.7	87	88.1
83	88.8	88.3	89.1	88.3	87.7	88.7
84	89.5	89	89.7	89	88.4	89.4
85	90.1	89.7	90.4	89.8	89.2	90.1
86	90.8	90.4	91.1	90.5	90	90.8
87	91.6	91.1	91.8	91.2	90.8	91.5
88	92.3	91.9	92.5	92	91.6	92.2
89	93	92.7	93.2	92.8	92.4	93
90	93.8	93.5	94	93.6	93.2	93.7
91	94.6	94.3	94.7	94.4	94	94.5
92	95.4	95.1	95.5	95.2	94.9	95.3
93	96.2	95.9	96.3	96	95.7	96.1
94	97	96.8	97.1	96.9	96.6	97
95	97.8	97.6	97.9	97.7	97.5	97.8
96	98.7	98.5	98.8	98.6	98.4	98.7
97	99.5	99.4	99.6	99.5	99.2	99.5
98	100.4	100.2	100.5	100.4	100.1	100.4
99	101.3	101.1	101.4	101.2	101	101.3
100	102.2	102	102.2	102.2	101.9	102.2

Odds of living to age in Kenya vs Zimbabwe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 65.7% in Kenya and 65.6% in Zimbabwe are expected to survive till at least 60 years old, 47.3% and 46.8% will live to 70 years or older, 25.5% and 23.2% to 80+ years, and 6.47% and 4.89% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Kenya			Zimbabwe
	Average	Male	Female	Average	Male	Female
1	97.1%	96.8%	97.5%	96.9%	96.5%	97.2%
2	96.7%	96.4%	97%	96.4%	96%	96.7%
3	96.4%	96.1%	96.7%	96.1%	95.7%	96.4%
4	96.2%	95.9%	96.5%	95.8%	95.5%	96.2%
5	96%	95.7%	96.3%	95.7%	95.4%	96%
6	95.9%	95.6%	96.2%	95.6%	95.2%	95.9%
7	95.8%	95.5%	96.2%	95.5%	95.1%	95.8%
8	95.8%	95.5%	96.1%	95.4%	95%	95.7%
9	95.7%	95.4%	96%	95.3%	95%	95.6%
10	95.6%	95.3%	95.9%	95.2%	94.9%	95.6%
11	95.5%	95.2%	95.9%	95.1%	94.8%	95.5%
12	95.5%	95.2%	95.8%	95.1%	94.7%	95.4%
13	95.4%	95.1%	95.7%	95%	94.6%	95.4%
14	95.3%	95%	95.7%	94.9%	94.6%	95.3%
15	95.2%	94.9%	95.6%	94.8%	94.5%	95.2%
16	95.1%	94.8%	95.5%	94.7%	94.3%	95.1%
17	95%	94.7%	95.4%	94.6%	94.2%	95%
18	94.9%	94.5%	95.3%	94.4%	94%	94.9%
19	94.7%	94.3%	95.1%	94.3%	93.8%	94.7%
20	94.5%	94.1%	95%	94.1%	93.6%	94.5%
21	94.3%	93.9%	94.8%	93.9%	93.4%	94.4%
22	94.1%	93.6%	94.6%	93.7%	93.1%	94.2%
23	93.9%	93.3%	94.4%	93.4%	92.9%	94%
24	93.6%	93.1%	94.2%	93.2%	92.6%	93.8%
25	93.3%	92.8%	93.9%	92.9%	92.2%	93.5%
26	93%	92.4%	93.7%	92.6%	91.9%	93.3%
27	92.7%	92.1%	93.4%	92.3%	91.6%	93%
28	92.4%	91.7%	93.1%	91.9%	91.2%	92.7%
29	92.1%	91.3%	92.8%	91.6%	90.8%	92.4%
30	91.7%	90.9%	92.4%	91.2%	90.4%	92%
31	91.3%	90.5%	92.1%	90.8%	89.9%	91.7%
32	90.9%	90%	91.7%	90.4%	89.5%	91.3%
33	90.4%	89.5%	91.3%	90%	89%	90.9%
34	90%	89%	90.9%	89.5%	88.4%	90.5%
35	89.5%	88.5%	90.4%	89%	87.9%	90.1%
36	88.9%	87.9%	90%	88.5%	87.3%	89.6%
37	88.4%	87.3%	89.5%	87.9%	86.6%	89.1%
38	87.8%	86.6%	89%	87.4%	86%	88.6%
39	87.2%	85.9%	88.4%	86.7%	85.3%	88.1%
40	86.5%	85.2%	87.8%	86.1%	84.5%	87.5%
41	85.8%	84.4%	87.3%	85.4%	83.7%	87%
42	85.1%	83.6%	86.6%	84.7%	82.9%	86.4%
43	84.4%	82.8%	86%	84%	82.1%	85.7%
44	83.6%	81.9%	85.3%	83.2%	81.2%	85.1%
45	82.8%	81%	84.7%	82.5%	80.3%	84.4%
46	82%	80.1%	83.9%	81.6%	79.3%	83.7%
47	81.1%	79.1%	83.2%	80.8%	78.3%	82.9%
48	80.2%	78%	82.4%	79.9%	77.2%	82.2%
49	79.2%	76.9%	81.6%	78.9%	76.1%	81.3%
50	78.2%	75.8%	80.7%	78%	75%	80.5%
51	77.2%	74.6%	79.8%	76.9%	73.8%	79.6%
52	76.1%	73.3%	78.9%	75.9%	72.5%	78.7%
53	74.9%	72.1%	77.9%	74.8%	71.2%	77.7%
54	73.7%	70.7%	76.9%	73.6%	69.8%	76.7%
55	72.5%	69.3%	75.9%	72.4%	68.5%	75.6%
56	71.3%	67.9%	74.8%	71.2%	67%	74.5%
57	69.9%	66.4%	73.6%	69.9%	65.5%	73.3%
58	68.6%	64.9%	72.5%	68.5%	64%	72.1%
59	67.2%	63.3%	71.2%	67.1%	62.4%	70.9%
60	65.7%	61.7%	69.9%	65.6%	60.7%	69.6%
61	64.1%	59.9%	68.5%	64%	59%	68.1%
62	62.5%	58.1%	67.1%	62.4%	57.1%	66.7%
63	60.8%	56.3%	65.6%	60.7%	55.3%	65.1%
64	59%	54.3%	64%	58.9%	53.3%	63.5%
65	57.2%	52.3%	62.3%	57%	51.3%	61.8%
66	55.3%	50.3%	60.5%	55.1%	49.2%	59.9%
67	53.3%	48.2%	58.7%	53.1%	47.1%	58.1%
68	51.3%	46.1%	56.8%	51.1%	44.9%	56.1%
69	49.3%	44%	54.9%	49%	42.7%	54.1%
70	47.3%	41.9%	53%	46.8%	40.5%	52.1%
71	45.2%	39.8%	50.9%	44.6%	38.2%	49.9%
72	43.1%	37.6%	48.8%	42.3%	35.8%	47.7%
73	40.9%	35.5%	46.7%	39.9%	33.4%	45.4%
74	38.8%	33.3%	44.5%	37.6%	31%	43.1%
75	36.6%	31.1%	42.3%	35.2%	28.6%	40.7%
76	34.3%	29%	40%	32.7%	26.3%	38.3%
77	32.1%	26.8%	37.7%	30.3%	23.9%	35.8%
78	29.9%	24.7%	35.4%	27.9%	21.6%	33.4%
79	27.6%	22.6%	33%	25.5%	19.4%	30.9%
80	25.5%	20.5%	30.7%	23.2%	17.2%	28.5%
81	23.3%	18.5%	28.4%	20.9%	15.1%	26%
82	21.2%	16.6%	26%	18.7%	13.2%	23.6%
83	19%	14.6%	23.6%	16.5%	11.3%	21.2%
84	16.9%	12.8%	21.3%	14.4%	9.61%	18.8%
85	14.9%	11%	18.9%	12.4%	8.05%	16.5%
86	13%	9.4%	16.6%	10.6%	6.66%	14.3%
87	11.1%	7.89%	14.4%	8.93%	5.43%	12.2%
88	9.42%	6.53%	12.3%	7.41%	4.36%	10.3%
89	7.87%	5.32%	10.4%	6.06%	3.44%	8.59%
90	6.47%	4.26%	8.66%	4.89%	2.68%	7.05%
91	5.23%	3.35%	7.07%	3.87%	2.04%	5.66%
92	4.17%	2.6%	5.71%	3.02%	1.53%	4.5%
93	3.25%	1.97%	4.52%	2.31%	1.13%	3.5%
94	2.49%	1.46%	3.5%	1.74%	0.81%	2.66%
95	1.86%	1.06%	2.66%	1.28%	0.57%	1.99%
96	1.36%	0.75%	1.98%	0.92%	0.4%	1.45%
97	0.98%	0.52%	1.43%	0.65%	0.27%	1.03%
98	0.68%	0.35%	1.02%	0.45%	0.18%	0.72%
99	0.47%	0.23%	0.71%	0.3%	0.11%	0.49%
100	0.31%	0.15%	0.48%	0.2%	0.07%	0.33%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 2.86% in the birth year in Kenya and 3.14% in Zimbabwe, 0.43% vs 0.43% at age 30, 2.38% vs 2.4% at 60, and 8.52% vs 9.93% at 80.

Below is a graph displaying the probabilities of dying in Kenya compared to Zimbabwe at any given age.

Table

Age	Probability of dying
	Kenya			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	2.86%	3.19%	2.52%	3.14%	3.48%	2.78%
1	0.47%	0.45%	0.5%	0.51%	0.49%	0.54%
2	0.3%	0.29%	0.31%	0.33%	0.32%	0.33%
3	0.21%	0.21%	0.21%	0.23%	0.23%	0.22%
4	0.15%	0.15%	0.15%	0.16%	0.17%	0.16%
5	0.11%	0.12%	0.11%	0.12%	0.13%	0.12%
6	0.1%	0.1%	0.09%	0.11%	0.11%	0.1%
7	0.09%	0.09%	0.08%	0.09%	0.1%	0.09%
8	0.08%	0.08%	0.07%	0.08%	0.09%	0.08%
9	0.07%	0.08%	0.07%	0.08%	0.08%	0.07%
10	0.07%	0.07%	0.07%	0.08%	0.08%	0.07%
11	0.07%	0.08%	0.07%	0.08%	0.08%	0.07%
12	0.07%	0.08%	0.07%	0.08%	0.09%	0.07%
13	0.08%	0.09%	0.08%	0.09%	0.09%	0.08%
14	0.09%	0.1%	0.09%	0.1%	0.11%	0.09%
15	0.11%	0.12%	0.1%	0.11%	0.12%	0.11%
16	0.13%	0.14%	0.11%	0.13%	0.15%	0.12%
17	0.15%	0.17%	0.13%	0.16%	0.18%	0.14%
18	0.17%	0.2%	0.15%	0.18%	0.21%	0.15%
19	0.19%	0.22%	0.17%	0.2%	0.23%	0.17%
20	0.21%	0.24%	0.18%	0.22%	0.25%	0.19%
21	0.23%	0.27%	0.2%	0.24%	0.27%	0.2%
22	0.25%	0.29%	0.22%	0.26%	0.3%	0.22%
23	0.27%	0.31%	0.23%	0.28%	0.32%	0.24%
24	0.29%	0.33%	0.25%	0.3%	0.34%	0.25%
25	0.31%	0.35%	0.27%	0.32%	0.36%	0.27%
26	0.33%	0.37%	0.3%	0.34%	0.38%	0.3%
27	0.36%	0.4%	0.32%	0.36%	0.41%	0.32%
28	0.38%	0.42%	0.34%	0.38%	0.43%	0.34%
29	0.41%	0.45%	0.37%	0.41%	0.46%	0.36%
30	0.43%	0.48%	0.39%	0.43%	0.49%	0.38%
31	0.46%	0.51%	0.41%	0.45%	0.52%	0.4%
32	0.49%	0.54%	0.43%	0.49%	0.56%	0.43%
33	0.52%	0.58%	0.46%	0.52%	0.59%	0.45%
34	0.55%	0.62%	0.49%	0.55%	0.64%	0.48%
35	0.59%	0.66%	0.52%	0.59%	0.68%	0.51%
36	0.63%	0.7%	0.55%	0.62%	0.72%	0.54%
37	0.67%	0.75%	0.58%	0.66%	0.77%	0.57%
38	0.71%	0.8%	0.61%	0.7%	0.82%	0.6%
39	0.74%	0.84%	0.64%	0.74%	0.87%	0.63%
40	0.79%	0.9%	0.67%	0.78%	0.92%	0.67%
41	0.82%	0.94%	0.7%	0.82%	0.97%	0.69%
42	0.87%	1%	0.73%	0.86%	1.02%	0.73%
43	0.91%	1.05%	0.77%	0.9%	1.08%	0.76%
44	0.96%	1.11%	0.8%	0.95%	1.14%	0.8%
45	1.02%	1.18%	0.85%	1%	1.21%	0.84%
46	1.07%	1.25%	0.89%	1.05%	1.28%	0.89%
47	1.13%	1.32%	0.94%	1.11%	1.35%	0.94%
48	1.2%	1.4%	0.99%	1.17%	1.43%	0.99%
49	1.27%	1.48%	1.05%	1.24%	1.52%	1.05%
50	1.35%	1.59%	1.11%	1.32%	1.62%	1.12%
51	1.41%	1.66%	1.17%	1.38%	1.7%	1.17%
52	1.5%	1.76%	1.23%	1.46%	1.8%	1.25%
53	1.57%	1.85%	1.29%	1.54%	1.89%	1.31%
54	1.66%	1.95%	1.36%	1.62%	2%	1.38%
55	1.75%	2.06%	1.44%	1.72%	2.11%	1.46%
56	1.84%	2.17%	1.52%	1.82%	2.22%	1.55%
57	1.95%	2.3%	1.61%	1.94%	2.35%	1.64%
58	2.07%	2.45%	1.71%	2.08%	2.51%	1.75%
59	2.21%	2.61%	1.82%	2.22%	2.67%	1.87%
60	2.38%	2.83%	1.96%	2.4%	2.89%	2.02%
61	2.53%	2.99%	2.09%	2.55%	3.07%	2.15%
62	2.72%	3.22%	2.26%	2.75%	3.3%	2.33%
63	2.91%	3.44%	2.44%	2.95%	3.53%	2.51%
64	3.12%	3.68%	2.63%	3.16%	3.77%	2.72%
65	3.36%	3.93%	2.85%	3.4%	4.03%	2.95%
66	3.51%	4.11%	3%	3.61%	4.29%	3.12%
67	3.7%	4.31%	3.18%	3.85%	4.59%	3.33%
68	3.91%	4.55%	3.38%	4.12%	4.93%	3.57%
69	4.13%	4.79%	3.58%	4.41%	5.28%	3.81%
70	4.43%	5.12%	3.86%	4.79%	5.74%	4.14%
71	4.66%	5.38%	4.08%	5.1%	6.12%	4.39%
72	5.01%	5.77%	4.4%	5.54%	6.65%	4.78%
73	5.32%	6.12%	4.69%	5.96%	7.16%	5.13%
74	5.68%	6.52%	5.03%	6.42%	7.71%	5.53%
75	6.1%	6.96%	5.39%	6.91%	8.32%	5.96%
76	6.52%	7.41%	5.76%	7.41%	8.94%	6.39%
77	6.93%	7.9%	6.12%	7.93%	9.61%	6.83%
78	7.44%	8.51%	6.61%	8.57%	10.4%	7.41%
79	7.89%	9.08%	7.02%	9.15%	11.2%	7.89%
80	8.52%	9.82%	7.64%	9.93%	12.1%	8.6%
81	9.12%	10.6%	8.2%	10.6%	12.9%	9.19%
82	10.1%	11.6%	9.2%	11.6%	14%	10.3%
83	11%	12.6%	10.1%	12.6%	15.1%	11.2%
84	12%	13.8%	11.2%	13.7%	16.2%	12.3%
85	13%	14.8%	12.2%	14.7%	17.3%	13.3%
86	14.2%	16%	13.3%	15.9%	18.5%	14.5%
87	15.3%	17.3%	14.4%	17%	19.7%	15.6%
88	16.5%	18.5%	15.6%	18.2%	21%	16.8%
89	17.7%	19.8%	16.7%	19.4%	22.2%	18%
90	19.2%	21.3%	18.3%	20.9%	23.7%	19.6%
91	20.3%	22.6%	19.3%	21.9%	24.9%	20.6%
92	22%	24.3%	20.9%	23.5%	26.5%	22.3%
93	23.5%	25.8%	22.4%	24.9%	27.9%	23.8%
94	25.1%	27.5%	24%	26.5%	29.5%	25.4%
95	26.8%	29.1%	25.8%	28.1%	31%	27.1%
96	28.4%	30.6%	27.4%	29.6%	32.5%	28.7%
97	29.9%	32.2%	28.9%	31.1%	33.9%	30.2%
98	31.3%	33.6%	30.4%	32.4%	35.2%	31.7%
99	33.2%	35.4%	32.3%	34.3%	36.9%	33.6%
100	34.7%	36.8%	33.8%	35.7%	38.2%	35%

Death rate by age in Kenya compared to Zimbabwe

In Kenya, the most common age of death is 0, compared to 0 in Zimbabwe. The median age of death is 68.7 in Kenya and 68.5 in Zimbabwe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Kenya			Zimbabwe
	Total	Male	Female	Total	Male	Female
0	2,858	3,192	2,520	3,136	3,483	2,783
1	460	432	488	497	473	521
2	291.4	283.7	299.3	315	310	320
3	199.6	198.6	200.7	216.2	216.8	215.5
4	145.1	147.2	142.9	156.9	160.1	153.6
5	109.9	112	107.8	118.8	121.5	116
6	93.2	96.6	89.7	100.5	104.5	96.4
7	83.2	87.1	79.2	89.4	93.9	84.7
8	75	78.8	71.1	80.4	84.8	75.8
9	69.8	72.9	66.5	74.6	78.4	70.8
10	67.6	70.9	64.1	72.1	76.1	68.1
11	68.2	72.8	63.5	72.7	77.8	67.4
12	71.4	76.1	66.5	75.8	81.1	70.4
13	78	82.7	73.2	82.5	87.9	77.1
14	88.8	94.9	82.7	93.4	100.1	86.5
15	104.5	112.4	96.4	109	117.7	100.2
16	121.5	133.3	109.6	126.2	138.7	113.6
17	142.5	159.6	125.2	147.2	165.3	128.9
18	165	188	141.8	169.5	193.7	145.2
19	183.1	208.7	157.4	187.5	214.4	160.3
20	201.8	229.7	173.9	205.9	235.6	176.2
21	218	250	186.2	222	256.1	188.1
22	236.8	270.3	203.6	240.5	276.8	204.7
23	254.9	289.2	221.2	258.3	296.1	221.4
24	272.8	307	239.3	275.7	314	238.6
25	291.8	327	258.1	294.1	334	256.2
26	311	345	278.7	313	353	275.5
27	332	366	299.4	333	374	295
28	352	388	318	352	396	312
29	374	410	339	372	419	333
30	397	437	358	395	446	351
31	416	459	374	413	468	366
32	443	488	399	439	498	390
33	468	517	420	464	528	411
34	497	551	444	492	562	434
35	530	586	473	524	598	462
36	558	619	496	551	631	485
37	589	656	519	582	668	508
38	619	691	544	611	704	534
39	649	725	567	639	738	557
40	682	766	592	673	780	583
41	708	795	614	698	808	604
42	739	833	637	729	847	629
43	770	870	661	758	884	654
44	803	909	687	789	924	680
45	842	956	719	826	970	713
46	878	997	748	859	1,012	742
47	918	1,043	782	896	1,058	777
48	962	1,093	820	937	1,108	817
49	1,005	1,141	858	976	1,156	856
50	1,057	1,201	900	1,026	1,217	902
51	1,091	1,238	931	1,061	1,254	934
52	1,138	1,290	974	1,109	1,307	980
53	1,178	1,333	1,009	1,148	1,349	1,017
54	1,221	1,379	1,049	1,193	1,395	1,060
55	1,268	1,430	1,091	1,244	1,446	1,104
56	1,313	1,474	1,137	1,297	1,490	1,153
57	1,363	1,527	1,185	1,355	1,542	1,203
58	1,421	1,588	1,241	1,422	1,603	1,262
59	1,481	1,651	1,299	1,489	1,666	1,323
60	1,563	1,742	1,371	1,576	1,757	1,402
61	1,621	1,794	1,435	1,633	1,808	1,466
62	1,701	1,874	1,518	1,717	1,888	1,555
63	1,771	1,936	1,598	1,788	1,949	1,637
64	1,844	1,997	1,684	1,862	2,010	1,726
65	1,920	2,058	1,778	1,941	2,070	1,823
66	1,942	2,065	1,817	1,987	2,114	1,872
67	1,973	2,079	1,866	2,044	2,164	1,934
68	2,008	2,097	1,920	2,105	2,214	2,002
69	2,039	2,110	1,969	2,159	2,257	2,062
70	2,094	2,146	2,044	2,242	2,322	2,156
71	2,105	2,140	2,075	2,272	2,337	2,192
72	2,158	2,170	2,150	2,345	2,383	2,282
73	2,179	2,172	2,192	2,380	2,394	2,332
74	2,202	2,171	2,239	2,411	2,394	2,385
75	2,229	2,165	2,278	2,430	2,383	2,429
76	2,238	2,147	2,301	2,425	2,347	2,449
77	2,223	2,118	2,306	2,403	2,297	2,449
78	2,223	2,101	2,339	2,392	2,248	2,474
79	2,181	2,052	2,319	2,333	2,161	2,441
80	2,169	2,017	2,346	2,302	2,087	2,449
81	2,124	1,957	2,327	2,209	1,956	2,393
82	2,138	1,925	2,396	2,170	1,848	2,423
83	2,093	1,847	2,390	2,075	1,706	2,376
84	2,040	1,759	2,372	1,972	1,560	2,317
85	1,943	1,635	2,297	1,833	1,396	2,205
86	1,837	1,508	2,206	1,685	1,233	2,076
87	1,699	1,361	2,066	1,517	1,069	1,910
88	1,554	1,210	1,916	1,349	914	1,739
89	1,393	1,055	1,740	1,174	765	1,548
90	1,245	910	1,583	1,021	635	1,382
91	1,063	759	1,364	847	508	1,167
92	915	630	1,195	709	406	1,001
93	763	508	1,012	576	315	830
94	624	400	842	459	239.6	676
95	499	307	686	359	177.9	539
96	387	229.8	541	271.7	128.5	416
97	292	167.2	415	200.6	90.4	312
98	214.6	118.6	310	144.5	62.1	228.5
99	156.2	82.9	229.5	103.1	42.2	165.5
100	52.4	13.1	92.9	24.2	0	51.9

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Kenya and Zimbabwe demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Kenya vs Zimbabwe: Statistical Insights

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size