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

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 Laos vs South Sudan: 73.5 years vs 69.1 at 30, 78.9 vs 78 at 65, 85.8 vs 85.6 at 80 — significantly higher than the 69.7 vs 58 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Laos and South Sudan.

Table

Current age, years	Total life expectancy, years
	Laos			South Sudan
	Average	Male	Female	Average	Male	Female
0	69.7	67.5	72	58	55	61
1	71.7	69.7	73.8	61.8	58.9	64.7
2	71.9	69.8	74	62.5	59.5	65.5
3	72	70	74.1	63.1	60.1	66.1
4	72.1	70.1	74.2	63.6	60.6	66.6
5	72.2	70.1	74.2	64	61.1	67
6	72.2	70.2	74.3	64.4	61.5	67.3
7	72.3	70.3	74.3	64.7	61.8	67.6
8	72.3	70.3	74.3	65	62.1	67.8
9	72.3	70.4	74.4	65.2	62.4	68
10	72.4	70.4	74.4	65.4	62.6	68.2
11	72.4	70.4	74.4	65.5	62.8	68.3
12	72.4	70.5	74.4	65.7	62.9	68.4
13	72.5	70.5	74.5	65.8	63.1	68.5
14	72.5	70.6	74.5	66	63.2	68.7
15	72.5	70.6	74.5	66.1	63.4	68.8
16	72.6	70.7	74.5	66.3	63.5	68.9
17	72.6	70.7	74.6	66.4	63.7	69
18	72.7	70.8	74.6	66.6	63.9	69.2
19	72.7	70.9	74.7	66.8	64.1	69.3
20	72.8	70.9	74.7	67	64.4	69.5
21	72.9	71	74.7	67.2	64.6	69.6
22	72.9	71.1	74.8	67.4	64.9	69.8
23	73	71.2	74.8	67.6	65.1	70
24	73.1	71.3	74.9	67.8	65.4	70.1
25	73.1	71.4	74.9	68	65.7	70.3
26	73.2	71.4	75	68.3	65.9	70.4
27	73.3	71.5	75	68.5	66.2	70.6
28	73.3	71.6	75.1	68.7	66.5	70.8
29	73.4	71.7	75.2	68.9	66.7	71
30	73.5	71.8	75.2	69.1	67	71.1
31	73.5	71.8	75.3	69.3	67.2	71.3
32	73.6	71.9	75.3	69.5	67.4	71.5
33	73.7	72	75.4	69.8	67.7	71.7
34	73.7	72.1	75.5	70	67.9	71.8
35	73.8	72.2	75.5	70.2	68.2	72
36	73.9	72.2	75.6	70.4	68.4	72.2
37	74	72.3	75.7	70.6	68.6	72.4
38	74.1	72.4	75.7	70.8	68.9	72.5
39	74.1	72.5	75.8	71	69.1	72.7
40	74.2	72.6	75.9	71.2	69.4	72.9
41	74.3	72.7	76	71.5	69.6	73.1
42	74.4	72.8	76	71.7	69.9	73.3
43	74.5	72.9	76.1	71.9	70.1	73.5
44	74.6	73.1	76.2	72.1	70.4	73.7
45	74.7	73.2	76.3	72.4	70.6	73.9
46	74.9	73.3	76.4	72.6	70.9	74.1
47	75	73.5	76.5	72.8	71.2	74.3
48	75.1	73.6	76.6	73	71.4	74.4
49	75.3	73.8	76.8	73.3	71.7	74.6
50	75.4	73.9	76.9	73.5	72	74.8
51	75.6	74.1	77	73.8	72.3	75.1
52	75.7	74.3	77.2	74	72.6	75.3
53	75.9	74.5	77.3	74.3	72.9	75.5
54	76.1	74.7	77.5	74.5	73.2	75.7
55	76.3	74.9	77.6	74.8	73.5	76
56	76.5	75.2	77.8	75.1	73.8	76.2
57	76.7	75.4	78	75.4	74.1	76.4
58	77	75.7	78.2	75.7	74.5	76.7
59	77.2	76	78.4	76	74.8	76.9
60	77.4	76.3	78.6	76.3	75.1	77.2
61	77.7	76.6	78.8	76.6	75.5	77.5
62	78	76.9	79	76.9	75.9	77.8
63	78.3	77.2	79.3	77.3	76.3	78.1
64	78.6	77.6	79.5	77.6	76.7	78.4
65	78.9	78	79.8	78	77.1	78.7
66	79.2	78.3	80.1	78.4	77.5	79.1
67	79.6	78.7	80.4	78.8	77.9	79.5
68	79.9	79.1	80.7	79.2	78.4	79.8
69	80.3	79.6	81	79.7	78.9	80.2
70	80.7	80	81.4	80.1	79.3	80.7
71	81.2	80.5	81.8	80.6	79.8	81.1
72	81.6	81	82.2	81.1	80.4	81.6
73	82.1	81.5	82.6	81.6	80.9	82.1
74	82.5	82	83	82.1	81.5	82.6
75	83	82.5	83.5	82.6	82	83.1
76	83.6	83.1	84	83.2	82.6	83.6
77	84.1	83.6	84.5	83.8	83.2	84.2
78	84.7	84.2	85	84.4	83.8	84.7
79	85.2	84.8	85.5	85	84.5	85.3
80	85.8	85.5	86.1	85.6	85.1	85.9
81	86.5	86.1	86.7	86.3	85.8	86.6
82	87.1	86.8	87.3	87	86.5	87.2
83	87.8	87.5	88	87.7	87.2	87.9
84	88.5	88.2	88.7	88.4	87.9	88.6
85	89.2	88.9	89.4	89.1	88.7	89.4
86	89.9	89.6	90.1	89.9	89.4	90.1
87	90.6	90.4	90.8	90.6	90.2	90.8
88	91.4	91.1	91.6	91.4	91	91.6
89	92.2	91.9	92.3	92.2	91.8	92.4
90	93	92.7	93.1	93	92.6	93.2
91	93.8	93.5	93.9	93.8	93.4	94
92	94.6	94.4	94.7	94.7	94.2	94.8
93	95.4	95.2	95.5	95.5	95.1	95.6
94	96.3	96.1	96.3	96.3	96	96.4
95	97.1	97	97.2	97.2	96.9	97.3
96	98	97.9	98	98.1	97.8	98.1
97	98.9	98.8	98.9	98.9	98.7	99
98	99.8	99.7	99.8	99.8	99.6	99.9
99	100.7	100.6	100.8	100.7	100.6	100.8
100	101.7	101.6	101.7	101.7	101.6	101.8

Odds of living to age in Laos vs South Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 80.4% in Laos and 61.1% in South Sudan are expected to survive till at least 60 years old, 63% and 45.1% will live to 70 years or older, 32.5% and 21.3% to 80+ years, and 5.52% and 3.37% 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
	Laos			South Sudan
	Average	Male	Female	Average	Male	Female
1	97.2%	96.8%	97.6%	93.8%	93.3%	94.2%
2	97%	96.6%	97.4%	92.7%	92.3%	93.1%
3	96.8%	96.4%	97.2%	91.8%	91.4%	92.2%
4	96.7%	96.3%	97.1%	91%	90.6%	91.5%
5	96.6%	96.1%	97%	90.3%	89.8%	90.9%
6	96.5%	96%	97%	89.8%	89.2%	90.4%
7	96.4%	95.9%	96.9%	89.3%	88.6%	90%
8	96.4%	95.9%	96.9%	88.9%	88.2%	89.7%
9	96.3%	95.8%	96.8%	88.6%	87.8%	89.4%
10	96.3%	95.7%	96.8%	88.3%	87.4%	89.1%
11	96.2%	95.7%	96.8%	88%	87.1%	88.9%
12	96.2%	95.6%	96.7%	87.8%	86.8%	88.7%
13	96.1%	95.6%	96.7%	87.5%	86.6%	88.5%
14	96.1%	95.5%	96.7%	87.3%	86.3%	88.4%
15	96%	95.4%	96.6%	87.1%	86%	88.2%
16	95.9%	95.3%	96.6%	86.8%	85.7%	87.9%
17	95.8%	95.2%	96.5%	86.5%	85.4%	87.7%
18	95.8%	95.1%	96.4%	86.2%	85.1%	87.5%
19	95.7%	95%	96.4%	85.9%	84.7%	87.2%
20	95.5%	94.8%	96.3%	85.6%	84.2%	87%
21	95.4%	94.7%	96.2%	85.2%	83.7%	86.7%
22	95.3%	94.5%	96.1%	84.8%	83.2%	86.4%
23	95.2%	94.3%	96%	84.4%	82.7%	86.1%
24	95%	94.2%	95.9%	84%	82.2%	85.8%
25	94.9%	94%	95.8%	83.5%	81.6%	85.5%
26	94.8%	93.8%	95.7%	83.1%	81.1%	85.2%
27	94.6%	93.7%	95.6%	82.7%	80.6%	84.9%
28	94.5%	93.5%	95.5%	82.2%	80.1%	84.5%
29	94.4%	93.3%	95.4%	81.8%	79.5%	84.2%
30	94.2%	93.2%	95.3%	81.4%	79%	83.8%
31	94.1%	93%	95.2%	80.9%	78.5%	83.5%
32	93.9%	92.8%	95%	80.5%	77.9%	83.1%
33	93.7%	92.6%	94.9%	80%	77.4%	82.7%
34	93.6%	92.4%	94.8%	79.6%	76.9%	82.4%
35	93.4%	92.2%	94.6%	79.1%	76.3%	82%
36	93.2%	92%	94.5%	78.6%	75.8%	81.6%
37	93%	91.8%	94.3%	78.1%	75.2%	81.2%
38	92.8%	91.6%	94.1%	77.6%	74.6%	80.8%
39	92.6%	91.3%	93.9%	77.1%	74%	80.3%
40	92.4%	91%	93.8%	76.6%	73.4%	79.9%
41	92.1%	90.7%	93.5%	76.1%	72.8%	79.4%
42	91.8%	90.4%	93.3%	75.5%	72.1%	78.9%
43	91.5%	90.1%	93.1%	74.9%	71.5%	78.4%
44	91.2%	89.7%	92.8%	74.3%	70.8%	77.9%
45	90.9%	89.3%	92.5%	73.7%	70.1%	77.4%
46	90.5%	88.9%	92.2%	73.1%	69.4%	76.9%
47	90.1%	88.4%	91.9%	72.5%	68.6%	76.4%
48	89.7%	87.9%	91.5%	71.8%	67.9%	75.8%
49	89.2%	87.3%	91.1%	71.1%	67.1%	75.3%
50	88.7%	86.7%	90.7%	70.4%	66.3%	74.7%
51	88.1%	86.1%	90.3%	69.7%	65.4%	74%
52	87.5%	85.4%	89.8%	68.9%	64.5%	73.4%
53	86.8%	84.6%	89.2%	68%	63.5%	72.7%
54	86.1%	83.7%	88.6%	67.2%	62.5%	71.9%
55	85.4%	82.8%	88%	66.3%	61.5%	71.1%
56	84.5%	81.8%	87.4%	65.3%	60.4%	70.3%
57	83.6%	80.7%	86.6%	64.4%	59.3%	69.5%
58	82.6%	79.5%	85.8%	63.3%	58.2%	68.6%
59	81.6%	78.3%	85%	62.3%	57%	67.6%
60	80.4%	76.9%	84.1%	61.1%	55.7%	66.6%
61	79.2%	75.4%	83.1%	59.9%	54.4%	65.5%
62	77.9%	73.9%	82%	58.6%	53%	64.3%
63	76.4%	72.2%	80.8%	57.3%	51.5%	63.1%
64	74.9%	70.4%	79.5%	55.8%	49.9%	61.7%
65	73.2%	68.5%	78.1%	54.2%	48.3%	60.2%
66	71.5%	66.5%	76.6%	52.6%	46.6%	58.7%
67	69.6%	64.3%	74.9%	50.9%	44.8%	57%
68	67.5%	62.1%	73.1%	49.1%	42.9%	55.2%
69	65.3%	59.7%	71.1%	47.1%	41%	53.3%
70	63%	57.1%	69%	45.1%	39%	51.3%
71	60.5%	54.5%	66.7%	43%	36.9%	49.2%
72	57.8%	51.7%	64.2%	40.8%	34.7%	46.9%
73	55%	48.8%	61.5%	38.5%	32.5%	44.6%
74	52.1%	45.8%	58.7%	36.2%	30.2%	42.1%
75	49.1%	42.8%	55.6%	33.7%	27.9%	39.6%
76	45.9%	39.6%	52.5%	31.3%	25.6%	36.9%
77	42.7%	36.5%	49.2%	28.8%	23.3%	34.3%
78	39.3%	33.3%	45.7%	26.3%	21%	31.6%
79	35.9%	30.1%	42.1%	23.8%	18.8%	28.8%
80	32.5%	26.9%	38.5%	21.3%	16.6%	26.1%
81	29.1%	23.8%	34.7%	18.9%	14.5%	23.3%
82	25.8%	20.8%	31%	16.6%	12.5%	20.6%
83	22.5%	17.9%	27.3%	14.4%	10.6%	18%
84	19.4%	15.2%	23.8%	12.3%	8.88%	15.6%
85	16.4%	12.7%	20.3%	10.3%	7.31%	13.2%
86	13.7%	10.5%	17.2%	8.54%	5.92%	11.1%
87	11.3%	8.45%	14.2%	6.96%	4.7%	9.18%
88	9.07%	6.67%	11.6%	5.58%	3.65%	7.47%
89	7.16%	5.14%	9.3%	4.38%	2.76%	5.98%
90	5.52%	3.85%	7.3%	3.37%	2.03%	4.7%
91	4.16%	2.8%	5.61%	2.54%	1.45%	3.62%
92	3.05%	1.97%	4.21%	1.87%	1%	2.73%
93	2.18%	1.35%	3.07%	1.35%	0.67%	2.01%
94	1.51%	0.89%	2.17%	0.94%	0.44%	1.44%
95	1.01%	0.57%	1.48%	0.64%	0.27%	1%
96	0.65%	0.36%	0.98%	0.43%	0.16%	0.67%
97	0.41%	0.22%	0.62%	0.27%	0.1%	0.44%
98	0.25%	0.13%	0.38%	0.17%	0.05%	0.28%
99	0.14%	0.07%	0.22%	0.1%	0.03%	0.17%
100	0.08%	0.04%	0.13%	0.06%	0.02%	0.1%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 2.78% in the birth year in Laos and 6.22% in South Sudan, 0.16% vs 0.55% at age 30, 1.53% vs 1.98% at 60, and 10.5% vs 11.3% at 80.

Below is a graph displaying the probabilities of dying in Laos compared to South Sudan at any given age.

Table

Age	Probability of dying
	Laos			South Sudan
	Average	Male	Female	Average	Male	Female
0	2.78%	3.18%	2.36%	6.22%	6.67%	5.75%
1	0.23%	0.23%	0.24%	1.16%	1.1%	1.22%
2	0.18%	0.19%	0.17%	0.99%	0.99%	0.98%
3	0.14%	0.16%	0.12%	0.85%	0.9%	0.8%
4	0.11%	0.13%	0.09%	0.73%	0.8%	0.65%
5	0.09%	0.11%	0.07%	0.62%	0.71%	0.53%
6	0.07%	0.09%	0.05%	0.53%	0.63%	0.43%
7	0.06%	0.08%	0.04%	0.45%	0.54%	0.36%
8	0.06%	0.07%	0.04%	0.39%	0.47%	0.31%
9	0.05%	0.07%	0.04%	0.34%	0.4%	0.27%
10	0.05%	0.06%	0.04%	0.3%	0.35%	0.24%
11	0.05%	0.06%	0.04%	0.27%	0.32%	0.22%
12	0.05%	0.07%	0.04%	0.26%	0.3%	0.22%
13	0.06%	0.07%	0.04%	0.26%	0.3%	0.22%
14	0.06%	0.08%	0.05%	0.27%	0.31%	0.22%
15	0.07%	0.09%	0.05%	0.29%	0.34%	0.24%
16	0.08%	0.11%	0.06%	0.32%	0.37%	0.26%
17	0.09%	0.12%	0.07%	0.35%	0.42%	0.27%
18	0.11%	0.14%	0.07%	0.38%	0.47%	0.29%
19	0.12%	0.15%	0.08%	0.41%	0.52%	0.3%
20	0.13%	0.17%	0.08%	0.44%	0.57%	0.32%
21	0.13%	0.17%	0.09%	0.47%	0.61%	0.33%
22	0.14%	0.18%	0.09%	0.49%	0.63%	0.34%
23	0.14%	0.18%	0.1%	0.5%	0.65%	0.35%
24	0.14%	0.18%	0.1%	0.51%	0.65%	0.36%
25	0.14%	0.18%	0.11%	0.51%	0.65%	0.37%
26	0.14%	0.18%	0.11%	0.52%	0.65%	0.38%
27	0.15%	0.18%	0.11%	0.52%	0.65%	0.39%
28	0.15%	0.18%	0.12%	0.53%	0.65%	0.41%
29	0.15%	0.18%	0.12%	0.54%	0.66%	0.42%
30	0.16%	0.19%	0.13%	0.55%	0.67%	0.43%
31	0.16%	0.19%	0.13%	0.56%	0.68%	0.44%
32	0.17%	0.2%	0.14%	0.57%	0.69%	0.45%
33	0.18%	0.21%	0.15%	0.58%	0.7%	0.46%
34	0.19%	0.22%	0.16%	0.59%	0.71%	0.47%
35	0.2%	0.23%	0.16%	0.6%	0.73%	0.48%
36	0.21%	0.24%	0.17%	0.61%	0.74%	0.49%
37	0.22%	0.26%	0.19%	0.63%	0.76%	0.51%
38	0.24%	0.28%	0.2%	0.65%	0.79%	0.53%
39	0.25%	0.3%	0.21%	0.68%	0.82%	0.56%
40	0.27%	0.32%	0.22%	0.71%	0.85%	0.58%
41	0.29%	0.34%	0.24%	0.74%	0.89%	0.61%
42	0.32%	0.37%	0.26%	0.77%	0.92%	0.63%
43	0.34%	0.41%	0.28%	0.79%	0.96%	0.64%
44	0.38%	0.44%	0.3%	0.81%	0.99%	0.66%
45	0.41%	0.49%	0.33%	0.84%	1.02%	0.67%
46	0.45%	0.53%	0.36%	0.86%	1.06%	0.69%
47	0.49%	0.58%	0.39%	0.9%	1.11%	0.71%
48	0.53%	0.64%	0.43%	0.95%	1.17%	0.75%
49	0.58%	0.7%	0.47%	1%	1.24%	0.79%
50	0.63%	0.76%	0.51%	1.07%	1.32%	0.85%
51	0.69%	0.83%	0.55%	1.14%	1.41%	0.91%
52	0.75%	0.91%	0.59%	1.21%	1.49%	0.97%
53	0.82%	1%	0.64%	1.28%	1.57%	1.03%
54	0.9%	1.1%	0.7%	1.35%	1.65%	1.09%
55	0.98%	1.21%	0.76%	1.42%	1.73%	1.15%
56	1.07%	1.33%	0.83%	1.49%	1.82%	1.21%
57	1.17%	1.46%	0.91%	1.58%	1.93%	1.29%
58	1.28%	1.6%	0.99%	1.69%	2.06%	1.39%
59	1.4%	1.74%	1.08%	1.82%	2.21%	1.5%
60	1.53%	1.91%	1.19%	1.98%	2.39%	1.64%
61	1.68%	2.08%	1.31%	2.16%	2.59%	1.8%
62	1.84%	2.27%	1.44%	2.35%	2.81%	1.97%
63	2.01%	2.48%	1.6%	2.56%	3.04%	2.17%
64	2.21%	2.7%	1.77%	2.78%	3.28%	2.37%
65	2.43%	2.96%	1.96%	3.02%	3.54%	2.6%
66	2.67%	3.23%	2.18%	3.28%	3.83%	2.84%
67	2.95%	3.54%	2.43%	3.57%	4.14%	3.12%
68	3.26%	3.87%	2.7%	3.9%	4.5%	3.43%
69	3.59%	4.24%	3.01%	4.26%	4.91%	3.77%
70	3.97%	4.65%	3.36%	4.68%	5.37%	4.16%
71	4.37%	5.09%	3.74%	5.13%	5.87%	4.58%
72	4.82%	5.58%	4.16%	5.62%	6.41%	5.03%
73	5.31%	6.11%	4.62%	6.14%	6.99%	5.52%
74	5.84%	6.68%	5.13%	6.69%	7.61%	6.05%
75	6.43%	7.32%	5.69%	7.29%	8.28%	6.61%
76	7.08%	8.01%	6.32%	7.94%	9%	7.23%
77	7.8%	8.79%	7.02%	8.67%	9.8%	7.92%
78	8.61%	9.64%	7.82%	9.47%	10.7%	8.69%
79	9.5%	10.6%	8.7%	10.4%	11.7%	9.54%
80	10.5%	11.6%	9.68%	11.3%	12.7%	10.5%
81	11.5%	12.7%	10.7%	12.4%	13.8%	11.5%
82	12.7%	13.8%	11.9%	13.5%	15%	12.6%
83	13.9%	15%	13.1%	14.6%	16.3%	13.7%
84	15.1%	16.3%	14.4%	15.9%	17.6%	14.9%
85	16.5%	17.7%	15.7%	17.1%	19%	16.1%
86	17.9%	19.3%	17%	18.5%	20.6%	17.4%
87	19.5%	21%	18.4%	19.9%	22.4%	18.6%
88	21.1%	23%	19.9%	21.4%	24.3%	20%
89	22.9%	25.1%	21.5%	23%	26.4%	21.4%
90	24.7%	27.3%	23.1%	24.6%	28.6%	22.9%
91	26.6%	29.5%	25%	26.3%	30.8%	24.6%
92	28.7%	31.7%	27.1%	28.1%	33%	26.4%
93	30.8%	33.8%	29.3%	30%	35.2%	28.4%
94	33%	35.8%	31.6%	31.9%	37.5%	30.6%
95	35.2%	37.7%	34.1%	33.8%	39.8%	32.8%
96	37.4%	39.6%	36.5%	35.6%	41.9%	35%
97	39.6%	41.5%	38.8%	37.7%	43.8%	37.1%
98	41.7%	43.5%	40.9%	40.5%	45.5%	39.1%
99	43.6%	45.4%	42.9%	43.7%	47.1%	41%
100	45.8%	47.4%	45.2%	45.7%	49.1%	43.1%

Death rate by age in Laos compared to South Sudan

In Laos, the most common age of death is 79, compared to 0 in South Sudan. The median age of death is 74.7 in Laos and 67.5 in South Sudan — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Laos			South Sudan
	Total	Male	Female	Total	Male	Female
0	2,780	3,178	2,363	6,215	6,667	5,754
1	226.1	222.4	230	1,086	1,027	1,147
2	173.6	182.5	164.1	915	916	915
3	134.7	150.2	118.3	776	818	733
4	106.2	124.5	87	660	727	591
5	85.6	104.3	65.9	561	641	479
6	70.8	88.6	52.1	477	558	393
7	60.6	76.9	43.4	404	480	326
8	53.7	68.6	38.1	344	411	275.7
9	49.7	63.2	35.4	296.8	353	238.8
10	47.9	60.5	34.6	262	309	213.5
11	48.2	60.5	35.4	239.4	279	198.2
12	50.6	63.1	37.5	227.9	262.8	191.3
13	55.1	68.6	40.9	226.8	260.1	192
14	61.6	77.1	45.4	235.1	270	198.7
15	70.1	88.4	50.9	251.3	290.8	210.1
16	80.1	102.2	57.1	273.6	321	224.4
17	91	117.3	63.5	299.3	357	239.3
18	101.8	132.3	69.9	327	397	253.5
19	111.5	145.8	75.8	354	439	265.4
20	119.6	156.5	81.1	379	478	275.1
21	125.7	163.8	85.8	398	508	283.3
22	129.8	167.9	90	412	527	290.7
23	132.3	169.2	93.9	420	535	298.4
24	133.8	168.6	97.6	424	536	307
25	134.9	167.2	101.3	427	532	316
26	136.2	166	105	429	527	325
27	138	165.6	108.8	432	523	335
28	140.3	166.6	112.8	436	522	344
29	143.6	169.2	117.1	440	523	352
30	148	173.5	121.8	446	527	359
31	153.5	179.1	127	451	533	366
32	159.9	186	133	456	538	372
33	167.2	194	139.6	461	544	377
34	175.5	203	147.2	466	549	384
35	184.8	213.1	155.5	473	555	392
36	195.2	224.6	164.7	481	563	402
37	206.9	237.7	174.7	493	575	415
38	220	252.8	185.6	508	590	431
39	234.6	270	197.5	526	608	449
40	251.2	289.7	210.7	545	628	467
41	270	312	225.5	564	648	483
42	291.4	338	242.3	580	667	496
43	315	367	261.4	593	685	506
44	343	399	283	604	700	512
45	373	434	307	616	717	519
46	405	473	333	631	737	528
47	441	515	362	651	762	543
48	478	560	392	679	794	566
49	519	608	425	713	832	596
50	562	661	459	753	875	633
51	609	717	495	795	919	672
52	659	779	534	835	961	711
53	714	847	575	872	999	748
54	774	921	621	906	1,033	782
55	839	1,001	671	939	1,066	816
56	908	1,086	725	976	1,102	853
57	981	1,175	784	1,018	1,145	896
58	1,059	1,269	849	1,072	1,197	950
59	1,144	1,366	922	1,136	1,260	1,015
60	1,234	1,466	1,001	1,210	1,332	1,092
61	1,329	1,570	1,088	1,292	1,409	1,178
62	1,430	1,677	1,184	1,378	1,488	1,270
63	1,538	1,788	1,290	1,465	1,565	1,366
64	1,654	1,904	1,405	1,551	1,639	1,464
65	1,777	2,025	1,532	1,636	1,710	1,565
66	1,909	2,148	1,669	1,724	1,782	1,668
67	2,052	2,275	1,817	1,815	1,855	1,777
68	2,199	2,404	1,975	1,911	1,933	1,891
69	2,347	2,531	2,142	2,011	2,013	2,011
70	2,496	2,656	2,316	2,111	2,091	2,133
71	2,644	2,774	2,492	2,207	2,164	2,252
72	2,786	2,883	2,668	2,292	2,226	2,363
73	2,920	2,980	2,841	2,364	2,272	2,461
74	3,044	3,063	3,008	2,419	2,300	2,546
75	3,155	3,129	3,167	2,459	2,311	2,615
76	3,251	3,177	3,317	2,485	2,305	2,672
77	3,330	3,203	3,453	2,497	2,284	2,714
78	3,386	3,205	3,572	2,490	2,246	2,742
79	3,415	3,175	3,665	2,465	2,188	2,750
80	3,409	3,110	3,723	2,417	2,108	2,734
81	3,360	3,007	3,733	2,342	2,003	2,685
82	3,264	2,864	3,686	2,237	1,874	2,600
83	3,121	2,686	3,579	2,103	1,725	2,478
84	2,935	2,481	3,411	1,944	1,562	2,321
85	2,712	2,257	3,188	1,767	1,392	2,135
86	2,462	2,021	2,921	1,579	1,221	1,929
87	2,193	1,779	2,623	1,386	1,052	1,712
88	1,915	1,533	2,310	1,193	887	1,492
89	1,636	1,289	1,995	1,007	729	1,279
90	1,364	1,050	1,691	831	582	1,077
91	1,108	826	1,403	670	447	890
92	875	626	1,139	527	331	722
93	670	456	899	404	237	571
94	497	320	687	301	163.5	440
95	355	216.4	506	217.2	108.2	328
96	244.7	141.7	357	151.7	68.7	235
97	162	89.7	241	103.4	41.7	162.1
98	102.9	54.9	155.7	69.1	24.4	107.5
99	62.9	32.4	96.4	44.4	13.7	68.6
100	0	0	0	0	0	0

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 Laos and South Sudan 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
• Laos vs South Sudan: Numbers and Trends

By topic vs comparisons:

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