Life Expectancy in France 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 France vs Zimbabwe: 84.2 years vs 68.4 at 30, 87.2 vs 78.3 at 65, 90.7 vs 86.4 at 80 — significantly higher than the 83.6 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 France and Zimbabwe.

Table

Current age, years	Total life expectancy, years
	France			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	83.6	80.7	86.3	63.3	60.8	65.6
1	83.8	81	86.6	65.4	62.9	67.5
2	83.9	81	86.6	65.7	63.2	67.8
3	83.9	81	86.6	65.9	63.4	68.1
4	83.9	81	86.6	66.1	63.6	68.2
5	83.9	81	86.6	66.2	63.7	68.3
6	83.9	81.1	86.6	66.2	63.7	68.4
7	83.9	81.1	86.6	66.3	63.8	68.4
8	83.9	81.1	86.6	66.4	63.9	68.5
9	83.9	81.1	86.6	66.4	63.9	68.5
10	83.9	81.1	86.6	66.5	64	68.6
11	83.9	81.1	86.6	66.5	64	68.6
12	83.9	81.1	86.6	66.5	64	68.7
13	83.9	81.1	86.6	66.6	64.1	68.7
14	83.9	81.1	86.6	66.6	64.1	68.8
15	83.9	81.1	86.6	66.7	64.2	68.8
16	83.9	81.1	86.7	66.7	64.3	68.9
17	84	81.1	86.7	66.8	64.3	68.9
18	84	81.1	86.7	66.9	64.4	69
19	84	81.2	86.7	67	64.5	69.1
20	84	81.2	86.7	67.1	64.6	69.1
21	84	81.2	86.7	67.2	64.7	69.2
22	84	81.2	86.7	67.3	64.8	69.3
23	84.1	81.3	86.7	67.4	65	69.4
24	84.1	81.3	86.7	67.5	65.1	69.5
25	84.1	81.3	86.7	67.6	65.2	69.7
26	84.1	81.4	86.8	67.8	65.4	69.8
27	84.2	81.4	86.8	67.9	65.5	69.9
28	84.2	81.4	86.8	68.1	65.7	70
29	84.2	81.5	86.8	68.2	65.8	70.2
30	84.2	81.5	86.8	68.4	66	70.3
31	84.3	81.5	86.8	68.5	66.2	70.5
32	84.3	81.6	86.8	68.7	66.4	70.6
33	84.3	81.6	86.9	68.9	66.6	70.8
34	84.3	81.6	86.9	69.1	66.8	71
35	84.4	81.7	86.9	69.3	67	71.2
36	84.4	81.7	86.9	69.5	67.2	71.3
37	84.4	81.8	86.9	69.7	67.4	71.5
38	84.5	81.8	87	69.9	67.6	71.7
39	84.5	81.9	87	70.1	67.9	71.9
40	84.5	81.9	87	70.3	68.1	72.1
41	84.6	82	87	70.6	68.4	72.3
42	84.6	82	87.1	70.8	68.6	72.6
43	84.7	82.1	87.1	71	68.9	72.8
44	84.7	82.1	87.2	71.3	69.2	73
45	84.8	82.2	87.2	71.6	69.5	73.2
46	84.8	82.3	87.2	71.8	69.8	73.5
47	84.9	82.4	87.3	72.1	70.1	73.7
48	85	82.5	87.3	72.4	70.4	74
49	85.1	82.6	87.4	72.6	70.7	74.2
50	85.1	82.7	87.5	72.9	71	74.5
51	85.2	82.8	87.5	73.2	71.4	74.7
52	85.3	82.9	87.6	73.5	71.7	75
53	85.4	83	87.7	73.9	72.1	75.3
54	85.5	83.1	87.8	74.2	72.4	75.6
55	85.7	83.3	87.8	74.5	72.8	75.9
56	85.8	83.4	87.9	74.8	73.1	76.2
57	85.9	83.6	88	75.2	73.5	76.5
58	86.1	83.8	88.1	75.5	73.9	76.8
59	86.2	84	88.2	75.9	74.3	77.1
60	86.4	84.1	88.3	76.2	74.7	77.5
61	86.5	84.3	88.5	76.6	75.1	77.8
62	86.7	84.6	88.6	77	75.6	78.2
63	86.9	84.8	88.7	77.4	76	78.6
64	87	85	88.8	77.9	76.5	79
65	87.2	85.3	88.9	78.3	76.9	79.4
66	87.4	85.5	89.1	78.7	77.4	79.8
67	87.6	85.7	89.2	79.2	77.9	80.2
68	87.8	86	89.3	79.7	78.4	80.6
69	88	86.2	89.5	80.2	78.9	81.1
70	88.2	86.5	89.6	80.6	79.5	81.6
71	88.4	86.8	89.8	81.2	80	82
72	88.6	87	89.9	81.7	80.6	82.5
73	88.9	87.3	90.1	82.2	81.1	83
74	89.1	87.6	90.3	82.8	81.7	83.5
75	89.3	87.9	90.5	83.3	82.3	84.1
76	89.6	88.2	90.6	83.9	82.9	84.6
77	89.8	88.5	90.8	84.5	83.6	85.2
78	90.1	88.8	91.1	85.1	84.2	85.7
79	90.4	89.1	91.3	85.7	84.9	86.3
80	90.7	89.5	91.5	86.4	85.6	86.9
81	91	89.9	91.8	87	86.3	87.5
82	91.3	90.2	92.1	87.7	87	88.1
83	91.7	90.7	92.4	88.3	87.7	88.7
84	92.1	91.1	92.7	89	88.4	89.4
85	92.5	91.6	93	89.8	89.2	90.1
86	92.9	92.1	93.4	90.5	90	90.8
87	93.4	92.6	93.9	91.2	90.8	91.5
88	93.9	93.1	94.3	92	91.6	92.2
89	94.4	93.7	94.8	92.8	92.4	93
90	95	94.4	95.3	93.6	93.2	93.7
91	95.6	95	95.9	94.4	94	94.5
92	96.2	95.7	96.5	95.2	94.9	95.3
93	96.9	96.4	97.1	96	95.7	96.1
94	97.6	97.1	97.8	96.9	96.6	97
95	98.3	97.9	98.4	97.7	97.5	97.8
96	99	98.7	99.1	98.6	98.4	98.7
97	99.8	99.5	99.9	99.5	99.2	99.5
98	100.6	100.3	100.6	100.4	100.1	100.4
99	101.4	101.1	101.4	101.2	101	101.3
100	102.2	102	102.3	102.2	101.9	102.2

Odds of living to age in France vs Zimbabwe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 93.1% in France and 65.6% in Zimbabwe are expected to survive till at least 60 years old, 85.6% and 46.8% will live to 70 years or older, 71.5% and 23.2% to 80+ years, and 38.3% 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
	France			Zimbabwe
	Average	Male	Female	Average	Male	Female
1	99.7%	99.7%	99.7%	96.9%	96.5%	97.2%
2	99.7%	99.6%	99.7%	96.4%	96%	96.7%
3	99.6%	99.6%	99.7%	96.1%	95.7%	96.4%
4	99.6%	99.6%	99.7%	95.8%	95.5%	96.2%
5	99.6%	99.6%	99.7%	95.7%	95.4%	96%
6	99.6%	99.6%	99.7%	95.6%	95.2%	95.9%
7	99.6%	99.6%	99.7%	95.5%	95.1%	95.8%
8	99.6%	99.6%	99.6%	95.4%	95%	95.7%
9	99.6%	99.6%	99.6%	95.3%	95%	95.6%
10	99.6%	99.6%	99.6%	95.2%	94.9%	95.6%
11	99.6%	99.6%	99.6%	95.1%	94.8%	95.5%
12	99.6%	99.6%	99.6%	95.1%	94.7%	95.4%
13	99.6%	99.5%	99.6%	95%	94.6%	95.4%
14	99.6%	99.5%	99.6%	94.9%	94.6%	95.3%
15	99.6%	99.5%	99.6%	94.8%	94.5%	95.2%
16	99.6%	99.5%	99.6%	94.7%	94.3%	95.1%
17	99.5%	99.5%	99.6%	94.6%	94.2%	95%
18	99.5%	99.5%	99.6%	94.4%	94%	94.9%
19	99.5%	99.4%	99.6%	94.3%	93.8%	94.7%
20	99.5%	99.4%	99.5%	94.1%	93.6%	94.5%
21	99.4%	99.3%	99.5%	93.9%	93.4%	94.4%
22	99.4%	99.3%	99.5%	93.7%	93.1%	94.2%
23	99.4%	99.2%	99.5%	93.4%	92.9%	94%
24	99.3%	99.2%	99.5%	93.2%	92.6%	93.8%
25	99.3%	99.1%	99.5%	92.9%	92.2%	93.5%
26	99.3%	99.1%	99.4%	92.6%	91.9%	93.3%
27	99.2%	99%	99.4%	92.3%	91.6%	93%
28	99.2%	99%	99.4%	91.9%	91.2%	92.7%
29	99.1%	98.9%	99.4%	91.6%	90.8%	92.4%
30	99.1%	98.8%	99.3%	91.2%	90.4%	92%
31	99%	98.8%	99.3%	90.8%	89.9%	91.7%
32	99%	98.7%	99.3%	90.4%	89.5%	91.3%
33	98.9%	98.6%	99.3%	90%	89%	90.9%
34	98.9%	98.6%	99.2%	89.5%	88.4%	90.5%
35	98.8%	98.5%	99.2%	89%	87.9%	90.1%
36	98.8%	98.4%	99.2%	88.5%	87.3%	89.6%
37	98.7%	98.3%	99.1%	87.9%	86.6%	89.1%
38	98.6%	98.2%	99.1%	87.4%	86%	88.6%
39	98.5%	98.1%	99%	86.7%	85.3%	88.1%
40	98.5%	98%	99%	86.1%	84.5%	87.5%
41	98.4%	97.8%	98.9%	85.4%	83.7%	87%
42	98.3%	97.7%	98.8%	84.7%	82.9%	86.4%
43	98.1%	97.6%	98.7%	84%	82.1%	85.7%
44	98%	97.4%	98.7%	83.2%	81.2%	85.1%
45	97.9%	97.2%	98.6%	82.5%	80.3%	84.4%
46	97.7%	97%	98.5%	81.6%	79.3%	83.7%
47	97.6%	96.8%	98.3%	80.8%	78.3%	82.9%
48	97.4%	96.5%	98.2%	79.9%	77.2%	82.2%
49	97.2%	96.3%	98%	78.9%	76.1%	81.3%
50	96.9%	96%	97.9%	78%	75%	80.5%
51	96.7%	95.7%	97.7%	76.9%	73.8%	79.6%
52	96.4%	95.3%	97.5%	75.9%	72.5%	78.7%
53	96.1%	94.9%	97.3%	74.8%	71.2%	77.7%
54	95.8%	94.5%	97.1%	73.6%	69.8%	76.7%
55	95.4%	94%	96.8%	72.4%	68.5%	75.6%
56	95%	93.5%	96.6%	71.2%	67%	74.5%
57	94.6%	93%	96.3%	69.9%	65.5%	73.3%
58	94.2%	92.3%	96%	68.5%	64%	72.1%
59	93.7%	91.7%	95.6%	67.1%	62.4%	70.9%
60	93.1%	91%	95.3%	65.6%	60.7%	69.6%
61	92.5%	90.2%	94.9%	64%	59%	68.1%
62	91.9%	89.3%	94.5%	62.4%	57.1%	66.7%
63	91.2%	88.4%	94%	60.7%	55.3%	65.1%
64	90.5%	87.5%	93.6%	58.9%	53.3%	63.5%
65	89.8%	86.5%	93.1%	57%	51.3%	61.8%
66	89%	85.4%	92.6%	55.1%	49.2%	59.9%
67	88.2%	84.4%	92%	53.1%	47.1%	58.1%
68	87.4%	83.2%	91.5%	51.1%	44.9%	56.1%
69	86.5%	82.1%	90.8%	49%	42.7%	54.1%
70	85.6%	80.8%	90.2%	46.8%	40.5%	52.1%
71	84.6%	79.5%	89.5%	44.6%	38.2%	49.9%
72	83.5%	78.1%	88.7%	42.3%	35.8%	47.7%
73	82.4%	76.7%	87.9%	39.9%	33.4%	45.4%
74	81.1%	75.2%	87%	37.6%	31%	43.1%
75	79.9%	73.5%	86%	35.2%	28.6%	40.7%
76	78.5%	71.8%	84.9%	32.7%	26.3%	38.3%
77	76.9%	70%	83.8%	30.3%	23.9%	35.8%
78	75.3%	68%	82.4%	27.9%	21.6%	33.4%
79	73.5%	65.8%	81%	25.5%	19.4%	30.9%
80	71.5%	63.5%	79.4%	23.2%	17.2%	28.5%
81	69.4%	61%	77.5%	20.9%	15.1%	26%
82	67%	58.3%	75.5%	18.7%	13.2%	23.6%
83	64.4%	55.3%	73.2%	16.5%	11.3%	21.2%
84	61.5%	52.2%	70.5%	14.4%	9.61%	18.8%
85	58.3%	48.7%	67.6%	12.4%	8.05%	16.5%
86	54.8%	45%	64.3%	10.6%	6.66%	14.3%
87	51.1%	41.1%	60.6%	8.93%	5.43%	12.2%
88	47%	37%	56.5%	7.41%	4.36%	10.3%
89	42.7%	32.9%	52.1%	6.06%	3.44%	8.59%
90	38.3%	28.7%	47.4%	4.89%	2.68%	7.05%
91	33.8%	24.5%	42.5%	3.87%	2.04%	5.66%
92	29.3%	20.6%	37.5%	3.02%	1.53%	4.5%
93	25%	16.8%	32.4%	2.31%	1.13%	3.5%
94	20.8%	13.4%	27.5%	1.74%	0.81%	2.66%
95	16.9%	10.4%	22.7%	1.28%	0.57%	1.99%
96	13.4%	7.85%	18.3%	0.92%	0.4%	1.45%
97	10.3%	5.72%	14.3%	0.65%	0.27%	1.03%
98	7.68%	4.03%	10.8%	0.45%	0.18%	0.72%
99	5.53%	2.73%	7.9%	0.3%	0.11%	0.49%
100	3.85%	1.79%	5.57%	0.2%	0.07%	0.33%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.31% in the birth year in France and 3.14% in Zimbabwe, 0.05% vs 0.43% at age 30, 0.63% vs 2.4% at 60, and 3.02% vs 9.93% at 80.

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

Table

Age	Probability of dying
	France			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	0.31%	0.34%	0.28%	3.14%	3.48%	2.78%
1	0.03%	0.03%	0.03%	0.51%	0.49%	0.54%
2	0.01%	0.01%	0.01%	0.33%	0.32%	0.33%
3	0.01%	0.01%	0.009%	0.23%	0.23%	0.22%
4	0.009%	0.009%	0.008%	0.16%	0.17%	0.16%
5	0.007%	0.008%	0.007%	0.12%	0.13%	0.12%
6	0.006%	0.007%	0.006%	0.11%	0.11%	0.1%
7	0.006%	0.007%	0.005%	0.09%	0.1%	0.09%
8	0.005%	0.006%	0.005%	0.08%	0.09%	0.08%
9	0.005%	0.006%	0.005%	0.08%	0.08%	0.07%
10	0.006%	0.006%	0.005%	0.08%	0.08%	0.07%
11	0.006%	0.007%	0.005%	0.08%	0.08%	0.07%
12	0.006%	0.007%	0.006%	0.08%	0.09%	0.07%
13	0.008%	0.009%	0.007%	0.09%	0.09%	0.08%
14	0.01%	0.01%	0.008%	0.1%	0.11%	0.09%
15	0.01%	0.02%	0.009%	0.11%	0.12%	0.11%
16	0.02%	0.02%	0.01%	0.13%	0.15%	0.12%
17	0.02%	0.03%	0.01%	0.16%	0.18%	0.14%
18	0.02%	0.03%	0.01%	0.18%	0.21%	0.15%
19	0.03%	0.04%	0.02%	0.2%	0.23%	0.17%
20	0.03%	0.05%	0.02%	0.22%	0.25%	0.19%
21	0.03%	0.05%	0.02%	0.24%	0.27%	0.2%
22	0.03%	0.05%	0.02%	0.26%	0.3%	0.22%
23	0.03%	0.05%	0.02%	0.28%	0.32%	0.24%
24	0.04%	0.05%	0.02%	0.3%	0.34%	0.25%
25	0.04%	0.06%	0.02%	0.32%	0.36%	0.27%
26	0.04%	0.06%	0.02%	0.34%	0.38%	0.3%
27	0.04%	0.06%	0.02%	0.36%	0.41%	0.32%
28	0.04%	0.06%	0.02%	0.38%	0.43%	0.34%
29	0.05%	0.06%	0.03%	0.41%	0.46%	0.36%
30	0.05%	0.07%	0.03%	0.43%	0.49%	0.38%
31	0.05%	0.07%	0.03%	0.45%	0.52%	0.4%
32	0.05%	0.07%	0.03%	0.49%	0.56%	0.43%
33	0.06%	0.08%	0.03%	0.52%	0.59%	0.45%
34	0.06%	0.08%	0.04%	0.55%	0.64%	0.48%
35	0.06%	0.09%	0.04%	0.59%	0.68%	0.51%
36	0.07%	0.1%	0.04%	0.62%	0.72%	0.54%
37	0.08%	0.1%	0.05%	0.66%	0.77%	0.57%
38	0.08%	0.11%	0.05%	0.7%	0.82%	0.6%
39	0.09%	0.12%	0.06%	0.74%	0.87%	0.63%
40	0.09%	0.13%	0.06%	0.78%	0.92%	0.67%
41	0.1%	0.14%	0.07%	0.82%	0.97%	0.69%
42	0.11%	0.15%	0.08%	0.86%	1.02%	0.73%
43	0.13%	0.17%	0.09%	0.9%	1.08%	0.76%
44	0.14%	0.19%	0.1%	0.95%	1.14%	0.8%
45	0.16%	0.21%	0.11%	1%	1.21%	0.84%
46	0.17%	0.23%	0.12%	1.05%	1.28%	0.89%
47	0.19%	0.25%	0.14%	1.11%	1.35%	0.94%
48	0.21%	0.28%	0.15%	1.17%	1.43%	0.99%
49	0.24%	0.31%	0.17%	1.24%	1.52%	1.05%
50	0.26%	0.34%	0.18%	1.32%	1.62%	1.12%
51	0.28%	0.37%	0.2%	1.38%	1.7%	1.17%
52	0.31%	0.4%	0.21%	1.46%	1.8%	1.25%
53	0.34%	0.45%	0.23%	1.54%	1.89%	1.31%
54	0.37%	0.49%	0.25%	1.62%	2%	1.38%
55	0.41%	0.54%	0.28%	1.72%	2.11%	1.46%
56	0.45%	0.6%	0.3%	1.82%	2.22%	1.55%
57	0.49%	0.66%	0.33%	1.94%	2.35%	1.64%
58	0.53%	0.72%	0.35%	2.08%	2.51%	1.75%
59	0.58%	0.79%	0.38%	2.22%	2.67%	1.87%
60	0.63%	0.86%	0.41%	2.4%	2.89%	2.02%
61	0.68%	0.94%	0.43%	2.55%	3.07%	2.15%
62	0.72%	1.01%	0.46%	2.75%	3.3%	2.33%
63	0.77%	1.08%	0.49%	2.95%	3.53%	2.51%
64	0.81%	1.13%	0.52%	3.16%	3.77%	2.72%
65	0.86%	1.2%	0.55%	3.4%	4.03%	2.95%
66	0.91%	1.26%	0.59%	3.61%	4.29%	3.12%
67	0.96%	1.33%	0.62%	3.85%	4.59%	3.33%
68	1.01%	1.41%	0.66%	4.12%	4.93%	3.57%
69	1.09%	1.51%	0.72%	4.41%	5.28%	3.81%
70	1.17%	1.62%	0.78%	4.79%	5.74%	4.14%
71	1.26%	1.73%	0.86%	5.1%	6.12%	4.39%
72	1.36%	1.85%	0.94%	5.54%	6.65%	4.78%
73	1.47%	1.99%	1.02%	5.96%	7.16%	5.13%
74	1.6%	2.16%	1.13%	6.42%	7.71%	5.53%
75	1.75%	2.36%	1.25%	6.91%	8.32%	5.96%
76	1.93%	2.57%	1.39%	7.41%	8.94%	6.39%
77	2.13%	2.85%	1.56%	7.93%	9.61%	6.83%
78	2.38%	3.17%	1.76%	8.57%	10.4%	7.41%
79	2.68%	3.54%	2.01%	9.15%	11.2%	7.89%
80	3.02%	3.95%	2.31%	9.93%	12.1%	8.6%
81	3.42%	4.44%	2.66%	10.6%	12.9%	9.19%
82	3.9%	5.02%	3.07%	11.6%	14%	10.3%
83	4.48%	5.75%	3.57%	12.6%	15.1%	11.2%
84	5.17%	6.6%	4.17%	13.7%	16.2%	12.3%
85	5.97%	7.57%	4.9%	14.7%	17.3%	13.3%
86	6.89%	8.66%	5.74%	15.9%	18.5%	14.5%
87	7.94%	9.94%	6.71%	17%	19.7%	15.6%
88	9.09%	11.3%	7.81%	18.2%	21%	16.8%
89	10.4%	12.8%	9.03%	19.4%	22.2%	18%
90	11.7%	14.4%	10.4%	20.9%	23.7%	19.6%
91	13.2%	16.2%	11.8%	21.9%	24.9%	20.6%
92	14.9%	18.1%	13.5%	23.5%	26.5%	22.3%
93	16.7%	20.2%	15.3%	24.9%	27.9%	23.8%
94	18.7%	22.4%	17.3%	26.5%	29.5%	25.4%
95	20.8%	24.7%	19.5%	28.1%	31%	27.1%
96	23.1%	27.1%	21.9%	29.6%	32.5%	28.7%
97	25.5%	29.6%	24.3%	31.1%	33.9%	30.2%
98	27.9%	32.1%	26.9%	32.4%	35.2%	31.7%
99	30.5%	34.6%	29.5%	34.3%	36.9%	33.6%
100	32.8%	37.1%	31.9%	35.7%	38.2%	35%

Death rate by age in France compared to Zimbabwe

In France, the most common age of death is 90, compared to 0 in Zimbabwe. The median age of death is 87.3 in France and 68.5 in Zimbabwe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	France			Zimbabwe
	Total	Male	Female	Total	Male	Female
0	309	335	282.1	3,136	3,483	2,783
1	29.4	32.1	26.4	497	473	521
2	11.4	12.7	10	315	310	320
3	9.87	11	8.7	216.2	216.8	215.5
4	8.59	9.36	7.78	156.9	160.1	153.6
5	7.15	7.76	6.51	118.8	121.5	116
6	6.36	7.19	5.49	100.5	104.5	96.4
7	5.87	6.8	4.89	89.4	93.9	84.7
8	5.35	5.97	4.7	80.4	84.8	75.8
9	5.2	5.56	4.82	74.6	78.4	70.8
10	5.54	6.02	5.03	72.1	76.1	68.1
11	5.87	6.47	5.25	72.7	77.8	67.4
12	6.47	7.2	5.69	75.8	81.1	70.4
13	7.92	9.05	6.73	82.5	87.9	77.1
14	10	11.9	8.08	93.4	100.1	86.5
15	12.5	15.5	9.46	109	117.7	100.2
16	15.6	20.1	11	126.2	138.7	113.6
17	19.6	26.2	12.7	147.2	165.3	128.9
18	24.2	33.4	14.6	169.5	193.7	145.2
19	28.8	41	16	187.5	214.4	160.3
20	32.4	46.7	17.2	205.9	235.6	176.2
21	34.1	49.1	18.2	222	256.1	188.1
22	34.3	49.6	18.2	240.5	276.8	204.7
23	34.8	50.5	18.1	258.3	296.1	221.4
24	36.3	53	18.7	275.7	314	238.6
25	38.1	55.9	19.4	294.1	334	256.2
26	39.3	58	19.8	313	353	275.5
27	40.6	59.6	20.8	333	374	295
28	42.7	61.4	23.4	352	396	312
29	45.1	63.8	26.2	372	419	333
30	47	66.9	27	395	446	351
31	49	70.4	27.7	413	468	366
32	51.9	73.7	30	439	498	390
33	55.1	77.7	32.6	464	528	411
34	59	82.7	35.5	492	562	434
35	63.6	88.6	38.9	524	598	462
36	68.8	95.1	43.1	551	631	485
37	74.2	101.4	47.9	582	668	508
38	79.9	107.9	52.8	611	704	534
39	85.9	115.4	57.5	639	738	557
40	92.4	124	62.2	673	780	583
41	100.8	134.8	68.2	698	808	604
42	112	148.6	76.6	729	847	629
43	126.1	165.6	87.8	758	884	654
44	139.6	182.7	97.9	789	924	680
45	153.5	200.1	107.7	826	970	713
46	170.2	220.2	120.3	859	1,012	742
47	189.3	243.4	134.5	896	1,058	777
48	209	268.9	148.3	937	1,108	817
49	229.1	295.6	162.6	976	1,156	856
50	250.6	322	178.6	1,026	1,217	902
51	273.5	351	195	1,061	1,254	934
52	297.1	385	209.4	1,109	1,307	980
53	324	424	224.7	1,148	1,349	1,017
54	353	464	244.6	1,193	1,395	1,060
55	389	512	267.8	1,244	1,446	1,104
56	426	564	291.3	1,297	1,490	1,153
57	462	615	313	1,355	1,542	1,203
58	500	667	336	1,422	1,603	1,262
59	540	722	362	1,489	1,666	1,323
60	584	783	389	1,576	1,757	1,402
61	627	848	412	1,633	1,808	1,466
62	666	907	432	1,717	1,888	1,555
63	701	951	458	1,788	1,949	1,637
64	736	991	487	1,862	2,010	1,726
65	774	1,039	516	1,941	2,070	1,823
66	808	1,080	544	1,987	2,114	1,872
67	843	1,122	573	2,044	2,164	1,934
68	886	1,176	607	2,105	2,214	2,002
69	940	1,241	650	2,159	2,257	2,062
70	999	1,306	705	2,242	2,322	2,156
71	1,065	1,374	768	2,272	2,337	2,192
72	1,132	1,446	831	2,345	2,383	2,282
73	1,208	1,529	900	2,380	2,394	2,332
74	1,297	1,627	980	2,411	2,394	2,385
75	1,398	1,734	1,074	2,430	2,383	2,429
76	1,510	1,848	1,182	2,425	2,347	2,449
77	1,643	1,992	1,304	2,403	2,297	2,449
78	1,795	2,157	1,448	2,392	2,248	2,474
79	1,969	2,328	1,625	2,333	2,161	2,441
80	2,160	2,508	1,833	2,302	2,087	2,449
81	2,373	2,704	2,063	2,209	1,956	2,393
82	2,614	2,925	2,320	2,170	1,848	2,423
83	2,887	3,180	2,613	2,075	1,706	2,376
84	3,182	3,444	2,944	1,972	1,560	2,317
85	3,484	3,686	3,312	1,833	1,396	2,205
86	3,777	3,900	3,692	1,685	1,233	2,076
87	4,053	4,087	4,067	1,517	1,069	1,910
88	4,273	4,187	4,414	1,349	914	1,739
89	4,423	4,195	4,708	1,174	765	1,548
90	4,494	4,121	4,922	1,021	635	1,382
91	4,476	3,965	5,034	847	508	1,167
92	4,368	3,730	5,042	709	406	1,001
93	4,171	3,409	4,949	576	315	830
94	3,886	3,010	4,753	459	239.6	676
95	3,523	2,571	4,434	359	177.9	539
96	3,093	2,128	3,996	271.7	128.5	416
97	2,622	1,695	3,472	200.6	90.4	312
98	2,144	1,294	2,907	144.5	62.1	228.5
99	1,686	947	2,335	103.1	42.2	165.5
100	1,227	502	1,843	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 France 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
• France vs Zimbabwe: Facts and Figures

By topic vs comparisons:

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