Life Expectancy in France vs South Sudan (1950-2026)

Life expectancy by current age

Chart Table

France

Male

Female

South Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	France			South Sudan
	Average	Male	Female	Average	Male	Female
100	102.2	102	102.3	101.7	101.6	101.8
99	101.4	101.1	101.4	100.7	100.6	100.8
98	100.6	100.3	100.7	99.8	99.6	99.9
97	99.8	99.5	99.9	98.9	98.7	99
96	99	98.7	99.2	98.1	97.8	98.1
95	98.3	97.9	98.4	97.2	96.9	97.3
94	97.6	97.1	97.8	96.3	96	96.4
93	96.9	96.4	97.1	95.5	95.1	95.6
92	96.3	95.7	96.5	94.7	94.2	94.8
91	95.6	95	95.9	93.8	93.4	94
90	95	94.4	95.4	93	92.6	93.2
89	94.5	93.8	94.8	92.2	91.8	92.4
88	93.9	93.2	94.3	91.4	91	91.6
87	93.4	92.6	93.9	90.6	90.2	90.8
86	93	92.1	93.5	89.9	89.4	90.1
85	92.5	91.6	93.1	89.1	88.7	89.4
84	92.1	91.1	92.7	88.4	87.9	88.6
83	91.7	90.7	92.4	87.7	87.2	87.9
82	91.4	90.3	92.1	87	86.5	87.2
81	91	89.9	91.8	86.3	85.8	86.6
80	90.7	89.5	91.6	85.6	85.1	85.9
79	90.4	89.2	91.3	85	84.5	85.3
78	90.1	88.9	91.1	84.4	83.8	84.7
77	89.9	88.5	90.9	83.8	83.2	84.2
76	89.6	88.2	90.7	83.2	82.6	83.6
75	89.4	87.9	90.5	82.6	82	83.1
74	89.1	87.7	90.3	82.1	81.5	82.6
73	88.9	87.4	90.2	81.6	80.9	82.1
72	88.7	87.1	90	81.1	80.4	81.6
71	88.5	86.8	89.9	80.6	79.8	81.1
70	88.3	86.6	89.7	80.1	79.3	80.7
69	88.1	86.3	89.6	79.7	78.9	80.2
68	87.9	86.1	89.4	79.2	78.4	79.8
67	87.7	85.8	89.3	78.8	77.9	79.5
66	87.5	85.6	89.2	78.4	77.5	79.1
65	87.3	85.4	89	78	77.1	78.7
64	87.1	85.1	88.9	77.6	76.7	78.4
63	87	84.9	88.8	77.3	76.3	78.1
62	86.8	84.7	88.7	76.9	75.9	77.8
61	86.6	84.5	88.5	76.6	75.5	77.5
60	86.4	84.2	88.4	76.3	75.1	77.2
59	86.3	84.1	88.3	76	74.8	76.9
58	86.1	83.9	88.2	75.7	74.5	76.7
57	86	83.7	88.1	75.4	74.1	76.4
56	85.9	83.5	88	75.1	73.8	76.2
55	85.8	83.4	87.9	74.8	73.5	76
54	85.6	83.2	87.9	74.5	73.2	75.7
53	85.5	83.1	87.8	74.3	72.9	75.5
52	85.4	83	87.7	74	72.6	75.3
51	85.3	82.9	87.6	73.8	72.3	75.1
50	85.3	82.8	87.6	73.5	72	74.8
49	85.2	82.7	87.5	73.3	71.7	74.6
48	85.1	82.6	87.4	73	71.4	74.4
47	85	82.5	87.4	72.8	71.2	74.3
46	85	82.4	87.3	72.6	70.9	74.1
45	84.9	82.3	87.3	72.4	70.6	73.9
44	84.8	82.3	87.2	72.1	70.4	73.7
43	84.8	82.2	87.2	71.9	70.1	73.5
42	84.7	82.1	87.2	71.7	69.9	73.3
41	84.7	82.1	87.1	71.5	69.6	73.1
40	84.6	82	87.1	71.2	69.4	72.9
39	84.6	82	87.1	71	69.1	72.7
38	84.6	81.9	87.1	70.8	68.9	72.5
37	84.5	81.9	87	70.6	68.6	72.4
36	84.5	81.8	87	70.4	68.4	72.2
35	84.5	81.8	87	70.2	68.2	72
34	84.4	81.8	87	70	67.9	71.8
33	84.4	81.7	87	69.8	67.7	71.7
32	84.4	81.7	86.9	69.5	67.4	71.5
31	84.4	81.7	86.9	69.3	67.2	71.3
30	84.3	81.6	86.9	69.1	67	71.1
29	84.3	81.6	86.9	68.9	66.7	71
28	84.3	81.6	86.9	68.7	66.5	70.8
27	84.3	81.5	86.9	68.5	66.2	70.6
26	84.2	81.5	86.9	68.3	65.9	70.4
25	84.2	81.5	86.9	68	65.7	70.3
24	84.2	81.4	86.8	67.8	65.4	70.1
23	84.2	81.4	86.8	67.6	65.1	70
22	84.2	81.4	86.8	67.4	64.9	69.8
21	84.1	81.3	86.8	67.2	64.6	69.6
20	84.1	81.3	86.8	67	64.4	69.5
19	84.1	81.3	86.8	66.8	64.1	69.3
18	84.1	81.3	86.8	66.6	63.9	69.2
17	84.1	81.3	86.8	66.4	63.7	69
16	84.1	81.2	86.8	66.3	63.5	68.9
15	84.1	81.2	86.8	66.1	63.4	68.8
14	84	81.2	86.7	66	63.2	68.7
13	84	81.2	86.7	65.8	63.1	68.5
12	84	81.2	86.7	65.7	62.9	68.4
11	84	81.2	86.7	65.5	62.8	68.3
10	84	81.2	86.7	65.4	62.6	68.2
9	84	81.2	86.7	65.2	62.4	68
8	84	81.2	86.7	65	62.1	67.8
7	84	81.2	86.7	64.7	61.8	67.6
6	84	81.2	86.7	64.4	61.5	67.3
5	84	81.2	86.7	64	61.1	67
4	84	81.2	86.7	63.6	60.6	66.6
3	84	81.2	86.7	63.1	60.1	66.1
2	84	81.2	86.7	62.5	59.5	65.5
1	84	81.1	86.7	61.8	58.9	64.7
0	83.7	80.9	86.4	58	55	61

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 France can expect to live to 84.3 years compared to 69.1 in South Sudan, rising to 87.3 and 78 at 65, and to 90.7 and 85.6 at 80 — higher than the 83.7 and 58 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in France and South Sudan.

Probability of surviving to a given age

Chart Table

France

Male

Female

South Sudan

Male

Female

1x

Age	Survival probability
	France			South Sudan
	Average	Male	Female	Average	Male	Female
100	3.93%	1.85%	5.69%	0.06%	0.02%	0.1%
99	5.65%	2.82%	8.07%	0.1%	0.03%	0.17%
98	7.83%	4.15%	11%	0.17%	0.05%	0.28%
97	10.5%	5.88%	14.5%	0.27%	0.1%	0.44%
96	13.6%	8.06%	18.6%	0.43%	0.16%	0.67%
95	17.2%	10.7%	23.1%	0.64%	0.27%	1%
94	21.1%	13.7%	27.9%	0.94%	0.44%	1.44%
93	25.3%	17.2%	32.8%	1.35%	0.67%	2.01%
92	29.7%	21%	37.9%	1.87%	1%	2.73%
91	34.2%	25%	42.9%	2.54%	1.45%	3.62%
90	38.8%	29.1%	47.9%	3.37%	2.03%	4.7%
89	43.2%	33.3%	52.6%	4.38%	2.76%	5.98%
88	47.5%	37.6%	57%	5.58%	3.65%	7.47%
87	51.5%	41.6%	61%	6.96%	4.7%	9.18%
86	55.3%	45.5%	64.7%	8.54%	5.92%	11.1%
85	58.8%	49.2%	68%	10.3%	7.31%	13.2%
84	61.9%	52.7%	70.9%	12.3%	8.88%	15.6%
83	64.8%	55.8%	73.5%	14.4%	10.6%	18%
82	67.4%	58.7%	75.8%	16.6%	12.5%	20.6%
81	69.7%	61.4%	77.8%	18.9%	14.5%	23.3%
80	71.9%	63.9%	79.6%	21.3%	16.6%	26.1%
79	73.8%	66.2%	81.2%	23.8%	18.8%	28.8%
78	75.6%	68.3%	82.7%	26.3%	21%	31.6%
77	77.2%	70.3%	84%	28.8%	23.3%	34.3%
76	78.7%	72.1%	85.1%	31.3%	25.6%	36.9%
75	80.1%	73.8%	86.2%	33.7%	27.9%	39.6%
74	81.4%	75.4%	87.2%	36.2%	30.2%	42.1%
73	82.6%	77%	88%	38.5%	32.5%	44.6%
72	83.7%	78.4%	88.9%	40.8%	34.7%	46.9%
71	84.7%	79.7%	89.6%	43%	36.9%	49.2%
70	85.7%	81%	90.3%	45.1%	39%	51.3%
69	86.6%	82.3%	91%	47.1%	41%	53.3%
68	87.5%	83.4%	91.6%	49.1%	42.9%	55.2%
67	88.4%	84.5%	92.1%	50.9%	44.8%	57%
66	89.2%	85.6%	92.7%	52.6%	46.6%	58.7%
65	89.9%	86.6%	93.2%	54.2%	48.3%	60.2%
64	90.6%	87.6%	93.6%	55.8%	49.9%	61.7%
63	91.3%	88.5%	94.1%	57.3%	51.5%	63.1%
62	92%	89.4%	94.5%	58.6%	53%	64.3%
61	92.6%	90.3%	94.9%	59.9%	54.4%	65.5%
60	93.2%	91.1%	95.3%	61.1%	55.7%	66.6%
59	93.7%	91.8%	95.7%	62.3%	57%	67.6%
58	94.2%	92.4%	96%	63.3%	58.2%	68.6%
57	94.7%	93%	96.3%	64.4%	59.3%	69.5%
56	95.1%	93.6%	96.6%	65.3%	60.4%	70.3%
55	95.5%	94.1%	96.9%	66.3%	61.5%	71.1%
54	95.8%	94.6%	97.1%	67.2%	62.5%	71.9%
53	96.2%	95%	97.3%	68%	63.5%	72.7%
52	96.5%	95.4%	97.5%	68.9%	64.5%	73.4%
51	96.7%	95.7%	97.7%	69.7%	65.4%	74%
50	97%	96%	97.9%	70.4%	66.3%	74.7%
49	97.2%	96.3%	98.1%	71.1%	67.1%	75.3%
48	97.4%	96.6%	98.2%	71.8%	67.9%	75.8%
47	97.6%	96.8%	98.4%	72.5%	68.6%	76.4%
46	97.8%	97%	98.5%	73.1%	69.4%	76.9%
45	97.9%	97.2%	98.6%	73.7%	70.1%	77.4%
44	98.1%	97.4%	98.7%	74.3%	70.8%	77.9%
43	98.2%	97.6%	98.8%	74.9%	71.5%	78.4%
42	98.3%	97.7%	98.8%	75.5%	72.1%	78.9%
41	98.4%	97.9%	98.9%	76.1%	72.8%	79.4%
40	98.5%	98%	99%	76.6%	73.4%	79.9%
39	98.6%	98.1%	99%	77.1%	74%	80.3%
38	98.6%	98.2%	99.1%	77.6%	74.6%	80.8%
37	98.7%	98.3%	99.1%	78.1%	75.2%	81.2%
36	98.8%	98.4%	99.2%	78.6%	75.8%	81.6%
35	98.8%	98.5%	99.2%	79.1%	76.3%	82%
34	98.9%	98.6%	99.2%	79.6%	76.9%	82.4%
33	99%	98.7%	99.3%	80%	77.4%	82.7%
32	99%	98.7%	99.3%	80.5%	77.9%	83.1%
31	99.1%	98.8%	99.3%	80.9%	78.5%	83.5%
30	99.1%	98.9%	99.4%	81.4%	79%	83.8%
29	99.1%	98.9%	99.4%	81.8%	79.5%	84.2%
28	99.2%	99%	99.4%	82.2%	80.1%	84.5%
27	99.2%	99%	99.4%	82.7%	80.6%	84.9%
26	99.3%	99.1%	99.4%	83.1%	81.1%	85.2%
25	99.3%	99.2%	99.5%	83.5%	81.6%	85.5%
24	99.3%	99.2%	99.5%	84%	82.2%	85.8%
23	99.4%	99.3%	99.5%	84.4%	82.7%	86.1%
22	99.4%	99.3%	99.5%	84.8%	83.2%	86.4%
21	99.4%	99.4%	99.5%	85.2%	83.7%	86.7%
20	99.5%	99.4%	99.6%	85.6%	84.2%	87%
19	99.5%	99.4%	99.6%	85.9%	84.7%	87.2%
18	99.5%	99.5%	99.6%	86.2%	85.1%	87.5%
17	99.5%	99.5%	99.6%	86.5%	85.4%	87.7%
16	99.6%	99.5%	99.6%	86.8%	85.7%	87.9%
15	99.6%	99.5%	99.6%	87.1%	86%	88.2%
14	99.6%	99.5%	99.6%	87.3%	86.3%	88.4%
13	99.6%	99.6%	99.6%	87.5%	86.6%	88.5%
12	99.6%	99.6%	99.6%	87.8%	86.8%	88.7%
11	99.6%	99.6%	99.6%	88%	87.1%	88.9%
10	99.6%	99.6%	99.6%	88.3%	87.4%	89.1%
9	99.6%	99.6%	99.7%	88.6%	87.8%	89.4%
8	99.6%	99.6%	99.7%	88.9%	88.2%	89.7%
7	99.6%	99.6%	99.7%	89.3%	88.6%	90%
6	99.6%	99.6%	99.7%	89.8%	89.2%	90.4%
5	99.6%	99.6%	99.7%	90.3%	89.8%	90.9%
4	99.6%	99.6%	99.7%	91%	90.6%	91.5%
3	99.7%	99.6%	99.7%	91.8%	91.4%	92.2%
2	99.7%	99.6%	99.7%	92.7%	92.3%	93.1%
1	99.7%	99.7%	99.7%	93.8%	93.3%	94.2%

This chart shows the odds of living to each age from birth. 93.2% of newborns in France and 61.1% in South Sudan are expected to live past 60, 85.7% and 45.1% past 70, 71.9% and 21.3% past 80, and only 38.8% and 3.37% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

France

Male

Female

South Sudan

Male

Female

1x

Age	Probability of dying
	France			South Sudan
	Average	Male	Female	Average	Male	Female
100	32.7%	37%	31.9%	45.7%	49.1%	43.1%
99	30.4%	34.5%	29.5%	43.7%	47.1%	41%
98	27.9%	32%	26.8%	40.5%	45.5%	39.1%
97	25.4%	29.5%	24.2%	37.7%	43.8%	37.1%
96	23%	27%	21.8%	35.6%	41.9%	35%
95	20.7%	24.5%	19.4%	33.8%	39.8%	32.8%
94	18.6%	22.3%	17.2%	31.9%	37.5%	30.6%
93	16.6%	20.1%	15.2%	30%	35.2%	28.4%
92	14.8%	18%	13.4%	28.1%	33%	26.4%
91	13.2%	16%	11.8%	26.3%	30.8%	24.6%
90	11.7%	14.3%	10.3%	24.6%	28.6%	22.9%
89	10.3%	12.6%	8.95%	23%	26.4%	21.4%
88	9.02%	11.2%	7.73%	21.4%	24.3%	20%
87	7.87%	9.83%	6.64%	19.9%	22.4%	18.6%
86	6.82%	8.56%	5.67%	18.5%	20.6%	17.4%
85	5.91%	7.47%	4.84%	17.1%	19%	16.1%
84	5.11%	6.52%	4.12%	15.9%	17.6%	14.9%
83	4.42%	5.67%	3.52%	14.6%	16.3%	13.7%
82	3.84%	4.95%	3.03%	13.5%	15%	12.6%
81	3.37%	4.37%	2.62%	12.4%	13.8%	11.5%
80	2.98%	3.89%	2.27%	11.3%	12.7%	10.5%
79	2.64%	3.48%	1.98%	10.4%	11.7%	9.54%
78	2.35%	3.12%	1.73%	9.47%	10.7%	8.69%
77	2.1%	2.8%	1.53%	8.67%	9.8%	7.92%
76	1.89%	2.53%	1.37%	7.94%	9%	7.23%
75	1.72%	2.32%	1.23%	7.29%	8.28%	6.61%
74	1.57%	2.13%	1.11%	6.69%	7.61%	6.05%
73	1.44%	1.96%	1.01%	6.14%	6.99%	5.52%
72	1.34%	1.82%	0.92%	5.62%	6.41%	5.03%
71	1.24%	1.7%	0.85%	5.13%	5.87%	4.58%
70	1.15%	1.59%	0.77%	4.68%	5.37%	4.16%
69	1.07%	1.49%	0.71%	4.26%	4.91%	3.77%
68	1%	1.39%	0.65%	3.9%	4.5%	3.43%
67	0.94%	1.31%	0.61%	3.57%	4.14%	3.12%
66	0.9%	1.25%	0.58%	3.28%	3.83%	2.84%
65	0.85%	1.19%	0.55%	3.02%	3.54%	2.6%
64	0.8%	1.12%	0.51%	2.78%	3.28%	2.37%
63	0.76%	1.06%	0.48%	2.56%	3.04%	2.17%
62	0.72%	1%	0.45%	2.35%	2.81%	1.97%
61	0.67%	0.93%	0.43%	2.16%	2.59%	1.8%
60	0.62%	0.85%	0.4%	1.98%	2.39%	1.64%
59	0.57%	0.78%	0.37%	1.82%	2.21%	1.5%
58	0.52%	0.71%	0.35%	1.69%	2.06%	1.39%
57	0.48%	0.65%	0.32%	1.58%	1.93%	1.29%
56	0.44%	0.6%	0.3%	1.49%	1.82%	1.21%
55	0.4%	0.54%	0.27%	1.42%	1.73%	1.15%
54	0.36%	0.49%	0.25%	1.35%	1.65%	1.09%
53	0.33%	0.44%	0.23%	1.28%	1.57%	1.03%
52	0.31%	0.4%	0.21%	1.21%	1.49%	0.97%
51	0.28%	0.36%	0.2%	1.14%	1.41%	0.91%
50	0.25%	0.33%	0.18%	1.07%	1.32%	0.85%
49	0.23%	0.3%	0.16%	1%	1.24%	0.79%
48	0.21%	0.28%	0.15%	0.95%	1.17%	0.75%
47	0.19%	0.25%	0.14%	0.9%	1.11%	0.71%
46	0.17%	0.22%	0.12%	0.86%	1.06%	0.69%
45	0.15%	0.2%	0.11%	0.84%	1.02%	0.67%
44	0.14%	0.19%	0.1%	0.81%	0.99%	0.66%
43	0.13%	0.17%	0.09%	0.79%	0.96%	0.64%
42	0.11%	0.15%	0.08%	0.77%	0.92%	0.63%
41	0.1%	0.14%	0.07%	0.74%	0.89%	0.61%
40	0.09%	0.12%	0.06%	0.71%	0.85%	0.58%
39	0.09%	0.12%	0.06%	0.68%	0.82%	0.56%
38	0.08%	0.11%	0.05%	0.65%	0.79%	0.53%
37	0.07%	0.1%	0.05%	0.63%	0.76%	0.51%
36	0.07%	0.1%	0.04%	0.61%	0.74%	0.49%
35	0.06%	0.09%	0.04%	0.6%	0.73%	0.48%
34	0.06%	0.08%	0.04%	0.59%	0.71%	0.47%
33	0.06%	0.08%	0.03%	0.58%	0.7%	0.46%
32	0.05%	0.07%	0.03%	0.57%	0.69%	0.45%
31	0.05%	0.07%	0.03%	0.56%	0.68%	0.44%
30	0.05%	0.07%	0.03%	0.55%	0.67%	0.43%
29	0.05%	0.06%	0.03%	0.54%	0.66%	0.42%
28	0.04%	0.06%	0.02%	0.53%	0.65%	0.41%
27	0.04%	0.06%	0.02%	0.52%	0.65%	0.39%
26	0.04%	0.06%	0.02%	0.52%	0.65%	0.38%
25	0.04%	0.06%	0.02%	0.51%	0.65%	0.37%
24	0.04%	0.05%	0.02%	0.51%	0.65%	0.36%
23	0.03%	0.05%	0.02%	0.5%	0.65%	0.35%
22	0.03%	0.05%	0.02%	0.49%	0.63%	0.34%
21	0.03%	0.05%	0.02%	0.47%	0.61%	0.33%
20	0.03%	0.05%	0.02%	0.44%	0.57%	0.32%
19	0.03%	0.04%	0.02%	0.41%	0.52%	0.3%
18	0.02%	0.03%	0.01%	0.38%	0.47%	0.29%
17	0.02%	0.03%	0.01%	0.35%	0.42%	0.27%
16	0.02%	0.02%	0.01%	0.32%	0.37%	0.26%
15	0.01%	0.02%	0.009%	0.29%	0.34%	0.24%
14	0.01%	0.01%	0.008%	0.27%	0.31%	0.22%
13	0.008%	0.009%	0.007%	0.26%	0.3%	0.22%
12	0.006%	0.007%	0.006%	0.26%	0.3%	0.22%
11	0.006%	0.006%	0.005%	0.27%	0.32%	0.22%
10	0.005%	0.006%	0.005%	0.3%	0.35%	0.24%
9	0.005%	0.005%	0.005%	0.34%	0.4%	0.27%
8	0.005%	0.006%	0.005%	0.39%	0.47%	0.31%
7	0.006%	0.007%	0.005%	0.45%	0.54%	0.36%
6	0.006%	0.007%	0.005%	0.53%	0.63%	0.43%
5	0.007%	0.008%	0.006%	0.62%	0.71%	0.53%
4	0.008%	0.009%	0.008%	0.73%	0.8%	0.65%
3	0.01%	0.01%	0.009%	0.85%	0.9%	0.8%
2	0.01%	0.01%	0.01%	0.99%	0.99%	0.98%
1	0.03%	0.03%	0.03%	1.16%	1.1%	1.22%
0	0.3%	0.33%	0.28%	6.22%	6.67%	5.75%

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

The annual chance of dying is 0.3% in the birth year in France and 6.22% in South Sudan, 0.05% vs 0.55% at age 30, 0.62% vs 1.98% at 60, and 2.98% vs 11.3% at 80.

Death rate by age in France vs South Sudan

Chart Table

France

Male

Female

South Sudan

Male

Female

1x

Age	Death rate
	France			South Sudan
	Total	Male	Female	Total	Male	Female
100	1,257	525	1,886	0	0	0
99	1,717	974	2,377	44.4	13.7	68.6
98	2,181	1,328	2,953	69.1	24.4	107.5
97	2,664	1,736	3,520	103.4	41.7	162.1
96	3,136	2,174	4,044	151.7	68.7	235
95	3,566	2,621	4,479	217.2	108.2	328
94	3,929	3,061	4,791	301	163.5	440
93	4,211	3,459	4,980	404	237	571
92	4,402	3,775	5,063	527	331	722
91	4,504	4,005	5,047	670	447	890
90	4,516	4,153	4,926	831	582	1,077
89	4,437	4,218	4,704	1,007	729	1,279
88	4,280	4,202	4,403	1,193	887	1,492
87	4,053	4,094	4,051	1,386	1,052	1,712
86	3,770	3,898	3,672	1,579	1,221	1,929
85	3,472	3,678	3,289	1,767	1,392	2,135
84	3,165	3,431	2,920	1,944	1,562	2,321
83	2,866	3,163	2,588	2,103	1,725	2,478
82	2,588	2,905	2,295	2,237	1,874	2,600
81	2,350	2,683	2,040	2,342	2,003	2,685
80	2,139	2,485	1,810	2,417	2,108	2,734
79	1,947	2,305	1,605	2,465	2,188	2,750
78	1,776	2,134	1,429	2,490	2,246	2,742
77	1,623	1,970	1,286	2,497	2,284	2,714
76	1,490	1,827	1,166	2,485	2,305	2,672
75	1,380	1,714	1,059	2,459	2,311	2,615
74	1,279	1,607	966	2,419	2,300	2,546
73	1,192	1,511	888	2,364	2,272	2,461
72	1,118	1,428	820	2,292	2,226	2,363
71	1,051	1,357	757	2,207	2,164	2,252
70	987	1,291	696	2,111	2,091	2,133
69	929	1,226	642	2,011	2,013	2,011
68	876	1,162	599	1,911	1,933	1,891
67	833	1,109	566	1,815	1,855	1,777
66	799	1,068	538	1,724	1,782	1,668
65	766	1,028	510	1,636	1,710	1,565
64	728	981	481	1,551	1,639	1,464
63	693	941	453	1,465	1,565	1,366
62	660	897	428	1,378	1,488	1,270
61	621	840	407	1,292	1,409	1,178
60	578	775	385	1,210	1,332	1,092
59	535	715	359	1,136	1,260	1,015
58	494	660	332	1,072	1,197	950
57	457	609	310	1,018	1,145	896
56	422	558	288.2	976	1,102	853
55	385	506	264.8	939	1,066	816
54	350	459	241.9	906	1,033	782
53	320	419	222.2	872	999	748
52	294.5	381	207	835	961	711
51	270.3	347	192.8	795	919	672
50	247.3	318	176.5	753	875	633
49	226.8	292.2	160.7	713	832	596
48	206.5	265.7	146.5	679	794	566
47	186.6	240.5	132.9	651	762	543
46	167.7	217.6	118.8	631	737	528
45	151.3	197.7	106.4	616	717	519
44	137.9	180.5	96.7	604	700	512
43	124.4	163.5	86.7	593	685	506
42	110.4	146.7	75.6	580	667	496
41	99.4	133	67.3	564	648	483
40	91.2	122.4	61.4	545	628	467
39	84.8	114	56.8	526	608	449
38	78.9	106.5	52.1	508	590	431
37	73.3	100.1	47.3	493	575	415
36	68	93.9	42.5	481	563	402
35	62.8	87.4	38.4	473	555	392
34	58.2	81.6	35	466	549	384
33	54.5	76.7	32.2	461	544	377
32	51.1	72.7	29.6	456	538	372
31	48.4	69.4	27.3	451	533	366
30	46.5	66	26.6	446	527	359
29	44.6	62.9	25.8	440	523	352
28	42.2	60.6	23.1	436	522	344
27	40	58.7	20.5	432	523	335
26	38.7	57.2	19.5	429	527	325
25	37.6	55.1	19.1	427	532	316
24	35.8	52.2	18.4	424	536	307
23	34.2	49.8	17.8	420	535	298.4
22	33.8	48.9	17.9	412	527	290.7
21	33.5	48.4	17.9	398	508	283.3
20	31.9	46.1	16.9	379	478	275.1
19	28.3	40.3	15.8	354	439	265.4
18	23.8	32.9	14.3	327	397	253.5
17	19.3	25.7	12.5	299.3	357	239.3
16	15.4	19.8	10.8	273.6	321	224.4
15	12.3	15.2	9.3	251.3	290.8	210.1
14	9.88	11.7	7.95	235.1	270	198.7
13	7.79	8.9	6.62	226.8	260.1	192
12	6.35	7.08	5.59	227.9	262.8	191.3
11	5.77	6.36	5.15	239.4	279	198.2
10	5.44	5.91	4.94	262	309	213.5
9	5.1	5.45	4.72	296.8	353	238.8
8	5.25	5.85	4.61	344	411	275.7
7	5.76	6.67	4.8	404	480	326
6	6.23	7.05	5.38	477	558	393
5	7.01	7.61	6.38	561	641	479
4	8.43	9.18	7.63	660	727	591
3	9.67	10.8	8.53	776	818	733
2	11.2	12.4	9.83	915	916	915
1	28.8	31.5	26	1,086	1,027	1,147
0	303	329	276.7	6,215	6,667	5,754

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 France, the most common age of death is 90, compared to 0 in South Sudan. The median age of death is 87.4 in France and 67.5 in South Sudan, 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 France and South Sudan more than their death rates.

Life expectancy in other countries

+ -

1x