Life Expectancy in Kenya vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Kenya

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Kenya			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	102.2	102	102.2	102.2	101.9	102.2
99	101.3	101.1	101.4	101.2	101	101.3
98	100.4	100.2	100.5	100.4	100.1	100.4
97	99.5	99.4	99.6	99.5	99.2	99.5
96	98.7	98.5	98.8	98.6	98.4	98.7
95	97.8	97.6	97.9	97.7	97.5	97.8
94	97	96.8	97.1	96.9	96.6	97
93	96.2	95.9	96.3	96	95.7	96.1
92	95.4	95.1	95.5	95.2	94.9	95.3
91	94.6	94.3	94.7	94.4	94	94.5
90	93.8	93.5	94	93.6	93.2	93.8
89	93	92.7	93.2	92.8	92.4	93
88	92.3	91.9	92.5	92	91.6	92.2
87	91.6	91.1	91.8	91.2	90.8	91.5
86	90.8	90.4	91.1	90.5	90	90.8
85	90.1	89.7	90.4	89.8	89.2	90.1
84	89.5	89	89.7	89	88.4	89.4
83	88.8	88.3	89.1	88.4	87.7	88.7
82	88.2	87.6	88.5	87.7	87	88.1
81	87.6	87	87.9	87	86.3	87.5
80	87	86.3	87.4	86.4	85.6	86.9
79	86.4	85.7	86.8	85.8	84.9	86.3
78	85.8	85.1	86.3	85.1	84.2	85.7
77	85.2	84.5	85.7	84.5	83.6	85.2
76	84.6	83.9	85.2	83.9	83	84.6
75	84.1	83.3	84.7	83.4	82.3	84.1
74	83.6	82.8	84.2	82.8	81.7	83.5
73	83	82.2	83.7	82.2	81.2	83
72	82.5	81.6	83.2	81.7	80.6	82.5
71	82	81.1	82.7	81.2	80	82.1
70	81.5	80.5	82.2	80.7	79.5	81.6
69	81	80	81.8	80.2	79	81.1
68	80.5	79.5	81.3	79.7	78.4	80.7
67	80	79	80.9	79.2	77.9	80.2
66	79.5	78.5	80.5	78.8	77.5	79.8
65	79.1	78	80	78.3	77	79.4
64	78.6	77.5	79.6	77.9	76.5	79
63	78.2	77	79.2	77.5	76.1	78.6
62	77.8	76.5	78.9	77.1	75.6	78.2
61	77.4	76.1	78.5	76.7	75.2	77.9
60	77	75.6	78.2	76.3	74.8	77.5
59	76.6	75.2	77.8	75.9	74.4	77.2
58	76.2	74.8	77.5	75.6	74	76.9
57	75.8	74.4	77.2	75.2	73.6	76.6
56	75.5	74	76.9	74.9	73.2	76.3
55	75.1	73.7	76.6	74.6	72.8	76
54	74.8	73.3	76.3	74.2	72.5	75.7
53	74.5	72.9	76	73.9	72.1	75.4
52	74.1	72.6	75.7	73.6	71.8	75.1
51	73.8	72.2	75.4	73.3	71.4	74.8
50	73.5	71.9	75.1	73	71.1	74.6
49	73.2	71.6	74.9	72.7	70.8	74.3
48	72.9	71.2	74.6	72.5	70.5	74
47	72.6	70.9	74.4	72.2	70.2	73.8
46	72.4	70.6	74.1	71.9	69.9	73.6
45	72.1	70.3	73.9	71.7	69.6	73.3
44	71.8	70.1	73.6	71.4	69.3	73.1
43	71.6	69.8	73.4	71.2	69	72.9
42	71.3	69.5	73.2	70.9	68.7	72.7
41	71.1	69.2	73	70.7	68.5	72.5
40	70.8	69	72.8	70.5	68.2	72.2
39	70.6	68.7	72.5	70.2	68	72
38	70.4	68.5	72.3	70	67.8	71.9
37	70.2	68.3	72.1	69.8	67.5	71.7
36	70	68.1	71.9	69.6	67.3	71.5
35	69.8	67.8	71.8	69.4	67.1	71.3
34	69.6	67.6	71.6	69.2	66.9	71.1
33	69.4	67.5	71.4	69	66.7	71
32	69.2	67.3	71.2	68.9	66.5	70.8
31	69.1	67.1	71.1	68.7	66.3	70.6
30	68.9	66.9	70.9	68.5	66.2	70.5
29	68.7	66.7	70.8	68.4	66	70.4
28	68.6	66.6	70.6	68.2	65.8	70.2
27	68.4	66.4	70.5	68.1	65.7	70.1
26	68.3	66.3	70.4	68	65.5	70
25	68.2	66.1	70.3	67.8	65.4	69.8
24	68	66	70.1	67.7	65.3	69.7
23	67.9	65.9	70	67.6	65.1	69.6
22	67.8	65.8	69.9	67.5	65	69.5
21	67.7	65.6	69.8	67.4	64.9	69.4
20	67.6	65.5	69.8	67.3	64.8	69.3
19	67.5	65.4	69.7	67.2	64.7	69.3
18	67.4	65.3	69.6	67.1	64.6	69.2
17	67.4	65.3	69.5	67	64.5	69.1
16	67.3	65.2	69.5	67	64.4	69.1
15	67.2	65.1	69.4	66.9	64.4	69
14	67.2	65.1	69.4	66.8	64.3	69
13	67.1	65	69.3	66.8	64.3	68.9
12	67.1	65	69.3	66.8	64.2	68.9
11	67.1	65	69.3	66.7	64.2	68.8
10	67	64.9	69.2	66.7	64.2	68.8
9	67	64.9	69.2	66.6	64.1	68.8
8	66.9	64.8	69.1	66.6	64.1	68.7
7	66.9	64.8	69.1	66.5	64	68.7
6	66.8	64.7	69	66.5	64	68.6
5	66.8	64.7	69	66.4	63.9	68.5
4	66.7	64.6	68.9	66.3	63.8	68.4
3	66.5	64.4	68.7	66.2	63.6	68.3
2	66.3	64.3	68.5	66	63.5	68.1
1	66	64	68.2	65.6	63.2	67.7
0	64.2	62	66.5	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 Kenya can expect to live to 68.9 years compared to 68.5 in Zimbabwe, rising to 79.1 and 78.3 at 65, and to 87 and 86.4 at 80 — higher than the 64.2 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Kenya

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Kenya			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	0.32%	0.15%	0.49%	0.2%	0.07%	0.33%
99	0.48%	0.24%	0.72%	0.31%	0.12%	0.5%
98	0.69%	0.36%	1.03%	0.46%	0.18%	0.73%
97	0.99%	0.53%	1.45%	0.66%	0.27%	1.05%
96	1.38%	0.76%	2%	0.94%	0.4%	1.47%
95	1.89%	1.07%	2.69%	1.3%	0.59%	2.02%
94	2.52%	1.48%	3.54%	1.77%	0.83%	2.71%
93	3.29%	1.99%	4.57%	2.36%	1.15%	3.55%
92	4.21%	2.63%	5.77%	3.08%	1.57%	4.57%
91	5.28%	3.39%	7.15%	3.95%	2.09%	5.75%
90	6.54%	4.31%	8.75%	4.99%	2.73%	7.15%
89	7.94%	5.38%	10.5%	6.18%	3.51%	8.72%
88	9.51%	6.6%	12.4%	7.56%	4.44%	10.5%
87	11.2%	7.98%	14.5%	9.1%	5.53%	12.4%
86	13.1%	9.5%	16.7%	10.8%	6.78%	14.5%
85	15%	11.2%	19.1%	12.7%	8.2%	16.8%
84	17.1%	12.9%	21.5%	14.7%	9.78%	19.1%
83	19.2%	14.8%	23.9%	16.8%	11.5%	21.5%
82	21.4%	16.7%	26.3%	19%	13.4%	24%
81	23.5%	18.7%	28.6%	21.2%	15.4%	26.4%
80	25.7%	20.7%	31%	23.5%	17.5%	28.8%
79	27.9%	22.8%	33.3%	25.9%	19.7%	31.3%
78	30.1%	24.9%	35.7%	28.3%	21.9%	33.8%
77	32.4%	27.1%	38%	30.7%	24.3%	36.3%
76	34.6%	29.2%	40.3%	33.2%	26.6%	38.7%
75	36.9%	31.4%	42.6%	35.6%	29%	41.2%
74	39.1%	33.6%	44.8%	38%	31.4%	43.6%
73	41.3%	35.8%	47%	40.4%	33.9%	45.9%
72	43.4%	37.9%	49.2%	42.8%	36.3%	48.2%
71	45.5%	40.1%	51.3%	45.1%	38.6%	50.4%
70	47.6%	42.2%	53.3%	47.3%	40.9%	52.6%
69	49.7%	44.4%	55.3%	49.5%	43.2%	54.7%
68	51.7%	46.5%	57.2%	51.6%	45.4%	56.7%
67	53.7%	48.5%	59.1%	53.6%	47.6%	58.6%
66	55.6%	50.6%	60.9%	55.6%	49.7%	60.5%
65	57.5%	52.7%	62.7%	57.6%	51.8%	62.3%
64	59.4%	54.7%	64.4%	59.5%	53.8%	64%
63	61.1%	56.6%	66%	61.2%	55.8%	65.7%
62	62.8%	58.5%	67.5%	63%	57.7%	67.2%
61	64.5%	60.3%	68.9%	64.6%	59.5%	68.7%
60	66%	62%	70.3%	66.2%	61.2%	70.1%
59	67.5%	63.7%	71.6%	67.6%	62.9%	71.4%
58	68.9%	65.2%	72.8%	69.1%	64.5%	72.7%
57	70.3%	66.8%	74%	70.4%	66%	73.9%
56	71.6%	68.2%	75.1%	71.7%	67.5%	75%
55	72.8%	69.7%	76.2%	72.9%	69%	76.1%
54	74.1%	71%	77.2%	74.1%	70.3%	77.2%
53	75.2%	72.4%	78.2%	75.2%	71.7%	78.2%
52	76.4%	73.6%	79.2%	76.3%	73%	79.1%
51	77.4%	74.9%	80.1%	77.4%	74.2%	80.1%
50	78.5%	76.1%	81%	78.4%	75.4%	81%
49	79.5%	77.2%	81.9%	79.4%	76.6%	81.8%
48	80.4%	78.3%	82.7%	80.3%	77.7%	82.6%
47	81.4%	79.3%	83.5%	81.2%	78.7%	83.4%
46	82.2%	80.3%	84.2%	82%	79.7%	84.1%
45	83.1%	81.2%	84.9%	82.9%	80.7%	84.8%
44	83.9%	82.1%	85.6%	83.6%	81.6%	85.5%
43	84.6%	83%	86.2%	84.4%	82.5%	86.1%
42	85.3%	83.8%	86.9%	85.1%	83.3%	86.7%
41	86%	84.6%	87.5%	85.8%	84.1%	87.3%
40	86.7%	85.4%	88.1%	86.4%	84.9%	87.9%
39	87.4%	86.1%	88.6%	87.1%	85.6%	88.4%
38	88%	86.8%	89.1%	87.7%	86.3%	89%
37	88.5%	87.4%	89.7%	88.2%	86.9%	89.5%
36	89.1%	88%	90.1%	88.8%	87.5%	89.9%
35	89.6%	88.6%	90.6%	89.3%	88.1%	90.4%
34	90.1%	89.2%	91%	89.8%	88.7%	90.8%
33	90.6%	89.7%	91.5%	90.2%	89.2%	91.2%
32	91%	90.1%	91.9%	90.7%	89.7%	91.6%
31	91.4%	90.6%	92.2%	91.1%	90.1%	91.9%
30	91.8%	91%	92.6%	91.4%	90.6%	92.3%
29	92.2%	91.4%	92.9%	91.8%	91%	92.6%
28	92.5%	91.8%	93.2%	92.1%	91.4%	92.9%
27	92.8%	92.2%	93.5%	92.5%	91.7%	93.2%
26	93.1%	92.5%	93.8%	92.8%	92.1%	93.5%
25	93.4%	92.8%	94%	93.1%	92.4%	93.7%
24	93.7%	93.1%	94.3%	93.3%	92.7%	93.9%
23	94%	93.4%	94.5%	93.6%	93%	94.2%
22	94.2%	93.7%	94.7%	93.8%	93.3%	94.4%
21	94.4%	93.9%	94.9%	94%	93.5%	94.5%
20	94.6%	94.2%	95%	94.2%	93.8%	94.7%
19	94.8%	94.4%	95.2%	94.4%	94%	94.9%
18	94.9%	94.6%	95.3%	94.6%	94.2%	95%
17	95.1%	94.7%	95.5%	94.7%	94.3%	95.1%
16	95.2%	94.8%	95.6%	94.8%	94.5%	95.2%
15	95.3%	95%	95.7%	94.9%	94.6%	95.3%
14	95.4%	95%	95.7%	95%	94.7%	95.4%
13	95.5%	95.1%	95.8%	95.1%	94.8%	95.5%
12	95.5%	95.2%	95.9%	95.2%	94.8%	95.6%
11	95.6%	95.3%	95.9%	95.3%	94.9%	95.6%
10	95.7%	95.3%	96%	95.3%	95%	95.7%
9	95.7%	95.4%	96.1%	95.4%	95.1%	95.8%
8	95.8%	95.5%	96.1%	95.5%	95.1%	95.8%
7	95.9%	95.6%	96.2%	95.6%	95.2%	95.9%
6	96%	95.7%	96.3%	95.7%	95.3%	96%
5	96.1%	95.8%	96.4%	95.8%	95.5%	96.1%
4	96.2%	95.9%	96.5%	95.9%	95.6%	96.3%
3	96.4%	96.1%	96.7%	96.2%	95.8%	96.5%
2	96.7%	96.4%	97%	96.5%	96.1%	96.8%
1	97.2%	96.8%	97.5%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 66% of newborns in Kenya and 66.2% in Zimbabwe are expected to live past 60, 47.6% and 47.3% past 70, 25.7% and 23.5% past 80, and only 6.54% 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

Kenya

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Kenya			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	34.7%	36.8%	33.8%	35.7%	38.2%	35%
99	33.2%	35.4%	32.3%	34.3%	36.9%	33.6%
98	31.3%	33.6%	30.4%	32.4%	35.2%	31.7%
97	29.9%	32.1%	28.9%	31.1%	33.9%	30.2%
96	28.3%	30.6%	27.4%	29.6%	32.5%	28.7%
95	26.7%	29.1%	25.8%	28.1%	31%	27.1%
94	25.1%	27.5%	24%	26.4%	29.5%	25.4%
93	23.4%	25.8%	22.4%	24.9%	27.9%	23.7%
92	21.9%	24.3%	20.9%	23.5%	26.4%	22.2%
91	20.3%	22.6%	19.3%	21.9%	24.9%	20.6%
90	19.2%	21.3%	18.3%	20.9%	23.7%	19.6%
89	17.7%	19.8%	16.7%	19.3%	22.2%	18%
88	16.5%	18.5%	15.5%	18.2%	20.9%	16.8%
87	15.3%	17.2%	14.3%	16.9%	19.7%	15.6%
86	14.2%	16%	13.3%	15.8%	18.5%	14.5%
85	13%	14.8%	12.2%	14.7%	17.3%	13.3%
84	12%	13.7%	11.1%	13.6%	16.2%	12.3%
83	11%	12.6%	10.1%	12.5%	15%	11.2%
82	10.1%	11.6%	9.19%	11.6%	14%	10.2%
81	9.13%	10.5%	8.19%	10.5%	12.9%	9.17%
80	8.53%	9.8%	7.62%	9.89%	12.1%	8.58%
79	7.9%	9.07%	7.01%	9.11%	11.1%	7.87%
78	7.44%	8.49%	6.6%	8.54%	10.4%	7.38%
77	6.92%	7.88%	6.11%	7.89%	9.57%	6.81%
76	6.48%	7.39%	5.74%	7.37%	8.9%	6.37%
75	6.05%	6.94%	5.37%	6.87%	8.28%	5.94%
74	5.66%	6.5%	5.01%	6.38%	7.68%	5.51%
73	5.3%	6.1%	4.68%	5.92%	7.12%	5.11%
72	4.99%	5.75%	4.38%	5.51%	6.62%	4.76%
71	4.64%	5.36%	4.06%	5.06%	6.09%	4.37%
70	4.41%	5.1%	3.84%	4.75%	5.7%	4.11%
69	4.11%	4.77%	3.57%	4.38%	5.25%	3.78%
68	3.89%	4.52%	3.36%	4.09%	4.9%	3.54%
67	3.68%	4.29%	3.16%	3.82%	4.56%	3.31%
66	3.5%	4.08%	2.98%	3.58%	4.26%	3.1%
65	3.34%	3.91%	2.83%	3.38%	4.01%	2.93%
64	3.11%	3.65%	2.61%	3.14%	3.74%	2.7%
63	2.9%	3.42%	2.42%	2.92%	3.5%	2.49%
62	2.7%	3.2%	2.25%	2.73%	3.28%	2.31%
61	2.51%	2.97%	2.08%	2.53%	3.04%	2.13%
60	2.36%	2.81%	1.94%	2.37%	2.87%	1.99%
59	2.19%	2.59%	1.81%	2.19%	2.65%	1.85%
58	2.05%	2.43%	1.7%	2.04%	2.48%	1.73%
57	1.93%	2.28%	1.59%	1.91%	2.33%	1.62%
56	1.83%	2.15%	1.51%	1.79%	2.2%	1.53%
55	1.73%	2.05%	1.42%	1.69%	2.09%	1.44%
54	1.64%	1.93%	1.35%	1.6%	1.97%	1.36%
53	1.56%	1.83%	1.28%	1.52%	1.87%	1.29%
52	1.48%	1.74%	1.22%	1.44%	1.78%	1.23%
51	1.4%	1.64%	1.15%	1.36%	1.68%	1.15%
50	1.34%	1.57%	1.1%	1.3%	1.6%	1.1%
49	1.25%	1.47%	1.04%	1.22%	1.5%	1.03%
48	1.19%	1.38%	0.98%	1.16%	1.41%	0.98%
47	1.12%	1.3%	0.93%	1.09%	1.33%	0.92%
46	1.06%	1.23%	0.88%	1.04%	1.25%	0.87%
45	1%	1.17%	0.84%	0.99%	1.19%	0.83%
44	0.95%	1.1%	0.79%	0.93%	1.12%	0.78%
43	0.9%	1.04%	0.76%	0.89%	1.06%	0.75%
42	0.86%	0.98%	0.72%	0.84%	1%	0.71%
41	0.81%	0.93%	0.69%	0.8%	0.95%	0.68%
40	0.78%	0.89%	0.66%	0.76%	0.9%	0.65%
39	0.73%	0.83%	0.63%	0.72%	0.85%	0.62%
38	0.69%	0.79%	0.6%	0.68%	0.8%	0.59%
37	0.65%	0.74%	0.57%	0.64%	0.75%	0.55%
36	0.62%	0.69%	0.54%	0.61%	0.71%	0.53%
35	0.58%	0.65%	0.51%	0.57%	0.66%	0.5%
34	0.54%	0.61%	0.48%	0.54%	0.62%	0.47%
33	0.51%	0.57%	0.45%	0.5%	0.58%	0.44%
32	0.48%	0.53%	0.43%	0.47%	0.54%	0.41%
31	0.45%	0.5%	0.4%	0.44%	0.51%	0.39%
30	0.42%	0.47%	0.38%	0.42%	0.48%	0.37%
29	0.4%	0.44%	0.36%	0.4%	0.45%	0.35%
28	0.37%	0.42%	0.33%	0.37%	0.42%	0.33%
27	0.35%	0.39%	0.31%	0.35%	0.4%	0.31%
26	0.33%	0.37%	0.29%	0.33%	0.37%	0.29%
25	0.31%	0.35%	0.27%	0.31%	0.35%	0.26%
24	0.29%	0.32%	0.25%	0.29%	0.33%	0.25%
23	0.27%	0.31%	0.23%	0.27%	0.31%	0.23%
22	0.25%	0.28%	0.21%	0.25%	0.29%	0.21%
21	0.23%	0.26%	0.19%	0.23%	0.27%	0.19%
20	0.21%	0.24%	0.18%	0.21%	0.25%	0.18%
19	0.19%	0.22%	0.16%	0.19%	0.22%	0.16%
18	0.17%	0.2%	0.15%	0.17%	0.2%	0.15%
17	0.15%	0.17%	0.13%	0.15%	0.17%	0.13%
16	0.13%	0.14%	0.11%	0.13%	0.14%	0.12%
15	0.11%	0.12%	0.1%	0.11%	0.12%	0.1%
14	0.09%	0.1%	0.08%	0.1%	0.1%	0.09%
13	0.08%	0.09%	0.08%	0.08%	0.09%	0.08%
12	0.07%	0.08%	0.07%	0.08%	0.08%	0.07%
11	0.07%	0.08%	0.07%	0.07%	0.08%	0.07%
10	0.07%	0.07%	0.07%	0.07%	0.08%	0.07%
9	0.07%	0.08%	0.07%	0.08%	0.08%	0.07%
8	0.08%	0.08%	0.07%	0.08%	0.09%	0.08%
7	0.09%	0.09%	0.08%	0.09%	0.1%	0.09%
6	0.1%	0.1%	0.09%	0.1%	0.11%	0.1%
5	0.11%	0.12%	0.11%	0.12%	0.13%	0.12%
4	0.15%	0.15%	0.15%	0.16%	0.17%	0.16%
3	0.21%	0.21%	0.2%	0.22%	0.22%	0.22%
2	0.3%	0.29%	0.3%	0.32%	0.32%	0.32%
1	0.47%	0.44%	0.49%	0.5%	0.48%	0.52%
0	2.82%	3.15%	2.48%	3.05%	3.4%	2.7%

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

The annual chance of dying is 2.82% in the birth year in Kenya and 3.05% in Zimbabwe, 0.42% vs 0.42% at age 30, 2.36% vs 2.37% at 60, and 8.53% vs 9.89% at 80.

Death rate by age in Kenya vs Zimbabwe

Chart Table

Kenya

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Kenya			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	53.6	13.4	94.3	24.9	0	53
99	158.4	84	232.3	105.4	43.2	168.4
98	217.5	120.1	313	147.6	63.5	232.4
97	295.7	169.3	419	205	92.4	318
96	392	232.6	547	277.6	131.3	423
95	505	311	693	366	181.8	548
94	631	405	851	469	244.7	687
93	771	514	1,023	588	322	843
92	923	638	1,207	724	414	1,016
91	1,072	767	1,378	863	518	1,184
90	1,255	920	1,598	1,040	647	1,401
89	1,403	1,066	1,756	1,196	779	1,570
88	1,565	1,223	1,933	1,372	930	1,762
87	1,711	1,375	2,084	1,540	1,088	1,934
86	1,852	1,523	2,224	1,709	1,253	2,102
85	1,959	1,651	2,316	1,858	1,418	2,232
84	2,058	1,776	2,391	1,999	1,583	2,345
83	2,113	1,864	2,409	2,102	1,730	2,403
82	2,159	1,941	2,415	2,197	1,873	2,450
81	2,146	1,973	2,345	2,235	1,982	2,419
80	2,192	2,033	2,362	2,328	2,113	2,474
79	2,204	2,068	2,335	2,358	2,186	2,465
78	2,244	2,116	2,353	2,416	2,272	2,497
77	2,240	2,132	2,320	2,424	2,321	2,470
76	2,243	2,160	2,313	2,444	2,370	2,468
75	2,230	2,178	2,289	2,448	2,404	2,446
74	2,212	2,183	2,248	2,427	2,414	2,401
73	2,188	2,182	2,200	2,393	2,412	2,346
72	2,166	2,180	2,156	2,356	2,400	2,294
71	2,112	2,148	2,080	2,281	2,352	2,203
70	2,099	2,153	2,048	2,250	2,336	2,164
69	2,043	2,116	1,972	2,166	2,269	2,069
68	2,012	2,102	1,922	2,111	2,224	2,007
67	1,976	2,083	1,867	2,050	2,172	1,938
66	1,944	2,067	1,816	1,993	2,121	1,875
65	1,921	2,060	1,776	1,945	2,075	1,824
64	1,844	1,998	1,682	1,866	2,014	1,726
63	1,770	1,935	1,595	1,790	1,952	1,636
62	1,699	1,873	1,515	1,718	1,890	1,553
61	1,618	1,792	1,432	1,632	1,809	1,463
60	1,560	1,739	1,366	1,571	1,756	1,398
59	1,477	1,648	1,294	1,481	1,664	1,318
58	1,416	1,584	1,236	1,411	1,599	1,257
57	1,358	1,522	1,180	1,341	1,537	1,197
56	1,307	1,469	1,132	1,284	1,485	1,146
55	1,262	1,425	1,085	1,233	1,440	1,097
54	1,215	1,373	1,042	1,184	1,389	1,052
53	1,171	1,326	1,002	1,140	1,342	1,009
52	1,132	1,283	967	1,100	1,298	971
51	1,084	1,231	924	1,050	1,245	925
50	1,049	1,193	892	1,018	1,207	892
49	997	1,133	850	969	1,146	846
48	954	1,084	811	929	1,096	806
47	910	1,034	774	888	1,046	766
46	869	988	739	850	1,000	731
45	834	947	710	816	958	702
44	794	900	679	779	911	669
43	761	861	653	747	871	642
42	730	824	628	717	834	617
41	699	786	605	685	795	592
40	673	757	584	659	766	571
39	639	716	559	627	725	545
38	610	682	536	599	691	522
37	580	647	511	568	655	496
36	549	611	487	539	619	473
35	521	578	464	512	586	450
34	489	543	436	481	550	423
33	461	510	412	453	517	400
32	435	481	391	428	487	379
31	409	452	367	403	458	356
30	390	431	351	385	436	341
29	367	404	332	363	409	323
28	346	382	311	343	387	303
27	326	361	293.5	324	365	286.2
26	306	340	273.1	304	344	267.1
25	287	322	252.9	286.4	326	248.2
24	268.3	303	234.5	268.5	307	231.1
23	250.7	285.1	216.8	251.5	289	214.4
22	232.9	266.5	199.6	234.1	270.1	198.3
21	214.5	246.6	182.5	216.1	249.9	182.2
20	198.6	226.6	170.5	200.4	229.9	170.6
19	180.2	205.8	154.3	182.4	209.2	155.3
18	162.4	185.4	139	164.9	188.9	140.6
17	140.3	157.5	122.8	143.2	161.3	124.9
16	119.7	131.5	107.6	122.8	135.4	110
15	102.9	111	94.6	106.1	114.9	97.1
14	87.5	93.7	81.2	90.9	97.8	83.9
13	76.9	81.8	72	80.4	85.9	74.8
12	70.4	75.3	65.4	73.9	79.4	68.4
11	67.3	72.1	62.5	70.9	76.1	65.5
10	66.7	70.3	63.1	70.4	74.5	66.2
9	69	72.4	65.5	72.9	76.9	68.8
8	74.2	78.3	70.1	78.6	83.3	73.8
7	82.4	86.7	78.1	87.5	92.4	82.5
6	92.5	96.3	88.6	98.5	103	94
5	109.2	111.8	106.5	116.6	119.9	113.1
4	144	146.8	141.1	153.9	157.9	149.8
3	197.9	197.7	198	211.7	213.4	209.9
2	288.3	281.8	294.8	308	305	311
1	454	428	480	484	463	505
0	2,818	3,154	2,478	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 Kenya, the most common age of death is 0, compared to 0 in Zimbabwe. The median age of death is 68.8 in Kenya 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 Kenya and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x