Life Expectancy in Laos vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Laos

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Laos			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	101.7	101.6	101.7	102.2	101.9	102.2
99	100.7	100.6	100.8	101.2	101	101.3
98	99.8	99.7	99.8	100.4	100.1	100.4
97	98.9	98.8	98.9	99.5	99.2	99.5
96	98	97.9	98	98.6	98.4	98.7
95	97.1	97	97.2	97.7	97.5	97.8
94	96.3	96.1	96.3	96.9	96.6	97
93	95.4	95.2	95.5	96	95.7	96.1
92	94.6	94.4	94.7	95.2	94.9	95.3
91	93.8	93.5	93.9	94.4	94	94.5
90	93	92.7	93.1	93.6	93.2	93.8
89	92.2	91.9	92.3	92.8	92.4	93
88	91.4	91.1	91.6	92	91.6	92.2
87	90.6	90.4	90.8	91.2	90.8	91.5
86	89.9	89.6	90.1	90.5	90	90.8
85	89.2	88.9	89.4	89.8	89.2	90.1
84	88.5	88.2	88.7	89	88.4	89.4
83	87.8	87.5	88	88.4	87.7	88.7
82	87.1	86.8	87.3	87.7	87	88.1
81	86.5	86.1	86.7	87	86.3	87.5
80	85.8	85.5	86.1	86.4	85.6	86.9
79	85.2	84.8	85.5	85.8	84.9	86.3
78	84.7	84.2	85	85.1	84.2	85.7
77	84.1	83.6	84.5	84.5	83.6	85.2
76	83.6	83.1	84	83.9	83	84.6
75	83	82.5	83.5	83.4	82.3	84.1
74	82.5	82	83	82.8	81.7	83.5
73	82.1	81.5	82.6	82.2	81.2	83
72	81.6	81	82.2	81.7	80.6	82.5
71	81.2	80.5	81.8	81.2	80	82.1
70	80.7	80	81.4	80.7	79.5	81.6
69	80.3	79.6	81	80.2	79	81.1
68	79.9	79.1	80.7	79.7	78.4	80.7
67	79.6	78.7	80.4	79.2	77.9	80.2
66	79.2	78.3	80.1	78.8	77.5	79.8
65	78.9	78	79.8	78.3	77	79.4
64	78.6	77.6	79.5	77.9	76.5	79
63	78.3	77.2	79.3	77.5	76.1	78.6
62	78	76.9	79	77.1	75.6	78.2
61	77.7	76.6	78.8	76.7	75.2	77.9
60	77.4	76.3	78.6	76.3	74.8	77.5
59	77.2	76	78.4	75.9	74.4	77.2
58	77	75.7	78.2	75.6	74	76.9
57	76.7	75.4	78	75.2	73.6	76.6
56	76.5	75.2	77.8	74.9	73.2	76.3
55	76.3	74.9	77.6	74.6	72.8	76
54	76.1	74.7	77.5	74.2	72.5	75.7
53	75.9	74.5	77.3	73.9	72.1	75.4
52	75.7	74.3	77.2	73.6	71.8	75.1
51	75.6	74.1	77	73.3	71.4	74.8
50	75.4	73.9	76.9	73	71.1	74.6
49	75.3	73.8	76.8	72.7	70.8	74.3
48	75.1	73.6	76.6	72.5	70.5	74
47	75	73.5	76.5	72.2	70.2	73.8
46	74.9	73.3	76.4	71.9	69.9	73.6
45	74.7	73.2	76.3	71.7	69.6	73.3
44	74.6	73.1	76.2	71.4	69.3	73.1
43	74.5	72.9	76.1	71.2	69	72.9
42	74.4	72.8	76	70.9	68.7	72.7
41	74.3	72.7	76	70.7	68.5	72.5
40	74.2	72.6	75.9	70.5	68.2	72.2
39	74.1	72.5	75.8	70.2	68	72
38	74.1	72.4	75.7	70	67.8	71.9
37	74	72.3	75.7	69.8	67.5	71.7
36	73.9	72.2	75.6	69.6	67.3	71.5
35	73.8	72.2	75.5	69.4	67.1	71.3
34	73.7	72.1	75.5	69.2	66.9	71.1
33	73.7	72	75.4	69	66.7	71
32	73.6	71.9	75.3	68.9	66.5	70.8
31	73.5	71.8	75.3	68.7	66.3	70.6
30	73.5	71.8	75.2	68.5	66.2	70.5
29	73.4	71.7	75.2	68.4	66	70.4
28	73.3	71.6	75.1	68.2	65.8	70.2
27	73.3	71.5	75	68.1	65.7	70.1
26	73.2	71.4	75	68	65.5	70
25	73.1	71.4	74.9	67.8	65.4	69.8
24	73.1	71.3	74.9	67.7	65.3	69.7
23	73	71.2	74.8	67.6	65.1	69.6
22	72.9	71.1	74.8	67.5	65	69.5
21	72.9	71	74.7	67.4	64.9	69.4
20	72.8	70.9	74.7	67.3	64.8	69.3
19	72.7	70.9	74.7	67.2	64.7	69.3
18	72.7	70.8	74.6	67.1	64.6	69.2
17	72.6	70.7	74.6	67	64.5	69.1
16	72.6	70.7	74.5	67	64.4	69.1
15	72.5	70.6	74.5	66.9	64.4	69
14	72.5	70.6	74.5	66.8	64.3	69
13	72.5	70.5	74.5	66.8	64.3	68.9
12	72.4	70.5	74.4	66.8	64.2	68.9
11	72.4	70.4	74.4	66.7	64.2	68.8
10	72.4	70.4	74.4	66.7	64.2	68.8
9	72.3	70.4	74.4	66.6	64.1	68.8
8	72.3	70.3	74.3	66.6	64.1	68.7
7	72.3	70.3	74.3	66.5	64	68.7
6	72.2	70.2	74.3	66.5	64	68.6
5	72.2	70.1	74.2	66.4	63.9	68.5
4	72.1	70.1	74.2	66.3	63.8	68.4
3	72	70	74.1	66.2	63.6	68.3
2	71.9	69.8	74	66	63.5	68.1
1	71.7	69.7	73.8	65.6	63.2	67.7
0	69.7	67.5	72	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 Laos can expect to live to 73.5 years compared to 68.5 in Zimbabwe, rising to 78.9 and 78.3 at 65, and to 85.8 and 86.4 at 80 — higher than the 69.7 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Laos

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Laos			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	0.08%	0.04%	0.13%	0.2%	0.07%	0.33%
99	0.14%	0.07%	0.22%	0.31%	0.12%	0.5%
98	0.25%	0.13%	0.38%	0.46%	0.18%	0.73%
97	0.41%	0.22%	0.62%	0.66%	0.27%	1.05%
96	0.65%	0.36%	0.98%	0.94%	0.4%	1.47%
95	1.01%	0.57%	1.48%	1.3%	0.59%	2.02%
94	1.51%	0.89%	2.17%	1.77%	0.83%	2.71%
93	2.18%	1.35%	3.07%	2.36%	1.15%	3.55%
92	3.05%	1.97%	4.21%	3.08%	1.57%	4.57%
91	4.16%	2.8%	5.61%	3.95%	2.09%	5.75%
90	5.52%	3.85%	7.3%	4.99%	2.73%	7.15%
89	7.16%	5.14%	9.3%	6.18%	3.51%	8.72%
88	9.07%	6.67%	11.6%	7.56%	4.44%	10.5%
87	11.3%	8.45%	14.2%	9.1%	5.53%	12.4%
86	13.7%	10.5%	17.2%	10.8%	6.78%	14.5%
85	16.4%	12.7%	20.3%	12.7%	8.2%	16.8%
84	19.4%	15.2%	23.8%	14.7%	9.78%	19.1%
83	22.5%	17.9%	27.3%	16.8%	11.5%	21.5%
82	25.8%	20.8%	31%	19%	13.4%	24%
81	29.1%	23.8%	34.7%	21.2%	15.4%	26.4%
80	32.5%	26.9%	38.5%	23.5%	17.5%	28.8%
79	35.9%	30.1%	42.1%	25.9%	19.7%	31.3%
78	39.3%	33.3%	45.7%	28.3%	21.9%	33.8%
77	42.7%	36.5%	49.2%	30.7%	24.3%	36.3%
76	45.9%	39.6%	52.5%	33.2%	26.6%	38.7%
75	49.1%	42.8%	55.6%	35.6%	29%	41.2%
74	52.1%	45.8%	58.7%	38%	31.4%	43.6%
73	55%	48.8%	61.5%	40.4%	33.9%	45.9%
72	57.8%	51.7%	64.2%	42.8%	36.3%	48.2%
71	60.5%	54.5%	66.7%	45.1%	38.6%	50.4%
70	63%	57.1%	69%	47.3%	40.9%	52.6%
69	65.3%	59.7%	71.1%	49.5%	43.2%	54.7%
68	67.5%	62.1%	73.1%	51.6%	45.4%	56.7%
67	69.6%	64.3%	74.9%	53.6%	47.6%	58.6%
66	71.5%	66.5%	76.6%	55.6%	49.7%	60.5%
65	73.2%	68.5%	78.1%	57.6%	51.8%	62.3%
64	74.9%	70.4%	79.5%	59.5%	53.8%	64%
63	76.4%	72.2%	80.8%	61.2%	55.8%	65.7%
62	77.9%	73.9%	82%	63%	57.7%	67.2%
61	79.2%	75.4%	83.1%	64.6%	59.5%	68.7%
60	80.4%	76.9%	84.1%	66.2%	61.2%	70.1%
59	81.6%	78.3%	85%	67.6%	62.9%	71.4%
58	82.6%	79.5%	85.8%	69.1%	64.5%	72.7%
57	83.6%	80.7%	86.6%	70.4%	66%	73.9%
56	84.5%	81.8%	87.4%	71.7%	67.5%	75%
55	85.4%	82.8%	88%	72.9%	69%	76.1%
54	86.1%	83.7%	88.6%	74.1%	70.3%	77.2%
53	86.8%	84.6%	89.2%	75.2%	71.7%	78.2%
52	87.5%	85.4%	89.8%	76.3%	73%	79.1%
51	88.1%	86.1%	90.3%	77.4%	74.2%	80.1%
50	88.7%	86.7%	90.7%	78.4%	75.4%	81%
49	89.2%	87.3%	91.1%	79.4%	76.6%	81.8%
48	89.7%	87.9%	91.5%	80.3%	77.7%	82.6%
47	90.1%	88.4%	91.9%	81.2%	78.7%	83.4%
46	90.5%	88.9%	92.2%	82%	79.7%	84.1%
45	90.9%	89.3%	92.5%	82.9%	80.7%	84.8%
44	91.2%	89.7%	92.8%	83.6%	81.6%	85.5%
43	91.5%	90.1%	93.1%	84.4%	82.5%	86.1%
42	91.8%	90.4%	93.3%	85.1%	83.3%	86.7%
41	92.1%	90.7%	93.5%	85.8%	84.1%	87.3%
40	92.4%	91%	93.8%	86.4%	84.9%	87.9%
39	92.6%	91.3%	93.9%	87.1%	85.6%	88.4%
38	92.8%	91.6%	94.1%	87.7%	86.3%	89%
37	93%	91.8%	94.3%	88.2%	86.9%	89.5%
36	93.2%	92%	94.5%	88.8%	87.5%	89.9%
35	93.4%	92.2%	94.6%	89.3%	88.1%	90.4%
34	93.6%	92.4%	94.8%	89.8%	88.7%	90.8%
33	93.7%	92.6%	94.9%	90.2%	89.2%	91.2%
32	93.9%	92.8%	95%	90.7%	89.7%	91.6%
31	94.1%	93%	95.2%	91.1%	90.1%	91.9%
30	94.2%	93.2%	95.3%	91.4%	90.6%	92.3%
29	94.4%	93.3%	95.4%	91.8%	91%	92.6%
28	94.5%	93.5%	95.5%	92.1%	91.4%	92.9%
27	94.6%	93.7%	95.6%	92.5%	91.7%	93.2%
26	94.8%	93.8%	95.7%	92.8%	92.1%	93.5%
25	94.9%	94%	95.8%	93.1%	92.4%	93.7%
24	95%	94.2%	95.9%	93.3%	92.7%	93.9%
23	95.2%	94.3%	96%	93.6%	93%	94.2%
22	95.3%	94.5%	96.1%	93.8%	93.3%	94.4%
21	95.4%	94.7%	96.2%	94%	93.5%	94.5%
20	95.5%	94.8%	96.3%	94.2%	93.8%	94.7%
19	95.7%	95%	96.4%	94.4%	94%	94.9%
18	95.8%	95.1%	96.4%	94.6%	94.2%	95%
17	95.8%	95.2%	96.5%	94.7%	94.3%	95.1%
16	95.9%	95.3%	96.6%	94.8%	94.5%	95.2%
15	96%	95.4%	96.6%	94.9%	94.6%	95.3%
14	96.1%	95.5%	96.7%	95%	94.7%	95.4%
13	96.1%	95.6%	96.7%	95.1%	94.8%	95.5%
12	96.2%	95.6%	96.7%	95.2%	94.8%	95.6%
11	96.2%	95.7%	96.8%	95.3%	94.9%	95.6%
10	96.3%	95.7%	96.8%	95.3%	95%	95.7%
9	96.3%	95.8%	96.8%	95.4%	95.1%	95.8%
8	96.4%	95.9%	96.9%	95.5%	95.1%	95.8%
7	96.4%	95.9%	96.9%	95.6%	95.2%	95.9%
6	96.5%	96%	97%	95.7%	95.3%	96%
5	96.6%	96.1%	97%	95.8%	95.5%	96.1%
4	96.7%	96.3%	97.1%	95.9%	95.6%	96.3%
3	96.8%	96.4%	97.2%	96.2%	95.8%	96.5%
2	97%	96.6%	97.4%	96.5%	96.1%	96.8%
1	97.2%	96.8%	97.6%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 80.4% of newborns in Laos and 66.2% in Zimbabwe are expected to live past 60, 63% and 47.3% past 70, 32.5% and 23.5% past 80, and only 5.52% 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

Laos

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Laos			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	45.8%	47.4%	45.2%	35.7%	38.2%	35%
99	43.6%	45.4%	42.9%	34.3%	36.9%	33.6%
98	41.7%	43.5%	40.9%	32.4%	35.2%	31.7%
97	39.6%	41.5%	38.8%	31.1%	33.9%	30.2%
96	37.4%	39.6%	36.5%	29.6%	32.5%	28.7%
95	35.2%	37.7%	34.1%	28.1%	31%	27.1%
94	33%	35.8%	31.6%	26.4%	29.5%	25.4%
93	30.8%	33.8%	29.3%	24.9%	27.9%	23.7%
92	28.7%	31.7%	27.1%	23.5%	26.4%	22.2%
91	26.6%	29.5%	25%	21.9%	24.9%	20.6%
90	24.7%	27.3%	23.1%	20.9%	23.7%	19.6%
89	22.9%	25.1%	21.5%	19.3%	22.2%	18%
88	21.1%	23%	19.9%	18.2%	20.9%	16.8%
87	19.5%	21%	18.4%	16.9%	19.7%	15.6%
86	17.9%	19.3%	17%	15.8%	18.5%	14.5%
85	16.5%	17.7%	15.7%	14.7%	17.3%	13.3%
84	15.1%	16.3%	14.4%	13.6%	16.2%	12.3%
83	13.9%	15%	13.1%	12.5%	15%	11.2%
82	12.7%	13.8%	11.9%	11.6%	14%	10.2%
81	11.5%	12.7%	10.7%	10.5%	12.9%	9.17%
80	10.5%	11.6%	9.68%	9.89%	12.1%	8.58%
79	9.5%	10.6%	8.7%	9.11%	11.1%	7.87%
78	8.61%	9.64%	7.82%	8.54%	10.4%	7.38%
77	7.8%	8.79%	7.02%	7.89%	9.57%	6.81%
76	7.08%	8.01%	6.32%	7.37%	8.9%	6.37%
75	6.43%	7.32%	5.69%	6.87%	8.28%	5.94%
74	5.84%	6.68%	5.13%	6.38%	7.68%	5.51%
73	5.31%	6.11%	4.62%	5.92%	7.12%	5.11%
72	4.82%	5.58%	4.16%	5.51%	6.62%	4.76%
71	4.37%	5.09%	3.74%	5.06%	6.09%	4.37%
70	3.97%	4.65%	3.36%	4.75%	5.7%	4.11%
69	3.59%	4.24%	3.01%	4.38%	5.25%	3.78%
68	3.26%	3.87%	2.7%	4.09%	4.9%	3.54%
67	2.95%	3.54%	2.43%	3.82%	4.56%	3.31%
66	2.67%	3.23%	2.18%	3.58%	4.26%	3.1%
65	2.43%	2.96%	1.96%	3.38%	4.01%	2.93%
64	2.21%	2.7%	1.77%	3.14%	3.74%	2.7%
63	2.01%	2.48%	1.6%	2.92%	3.5%	2.49%
62	1.84%	2.27%	1.44%	2.73%	3.28%	2.31%
61	1.68%	2.08%	1.31%	2.53%	3.04%	2.13%
60	1.53%	1.91%	1.19%	2.37%	2.87%	1.99%
59	1.4%	1.74%	1.08%	2.19%	2.65%	1.85%
58	1.28%	1.6%	0.99%	2.04%	2.48%	1.73%
57	1.17%	1.46%	0.91%	1.91%	2.33%	1.62%
56	1.07%	1.33%	0.83%	1.79%	2.2%	1.53%
55	0.98%	1.21%	0.76%	1.69%	2.09%	1.44%
54	0.9%	1.1%	0.7%	1.6%	1.97%	1.36%
53	0.82%	1%	0.64%	1.52%	1.87%	1.29%
52	0.75%	0.91%	0.59%	1.44%	1.78%	1.23%
51	0.69%	0.83%	0.55%	1.36%	1.68%	1.15%
50	0.63%	0.76%	0.51%	1.3%	1.6%	1.1%
49	0.58%	0.7%	0.47%	1.22%	1.5%	1.03%
48	0.53%	0.64%	0.43%	1.16%	1.41%	0.98%
47	0.49%	0.58%	0.39%	1.09%	1.33%	0.92%
46	0.45%	0.53%	0.36%	1.04%	1.25%	0.87%
45	0.41%	0.49%	0.33%	0.99%	1.19%	0.83%
44	0.38%	0.44%	0.3%	0.93%	1.12%	0.78%
43	0.34%	0.41%	0.28%	0.89%	1.06%	0.75%
42	0.32%	0.37%	0.26%	0.84%	1%	0.71%
41	0.29%	0.34%	0.24%	0.8%	0.95%	0.68%
40	0.27%	0.32%	0.22%	0.76%	0.9%	0.65%
39	0.25%	0.3%	0.21%	0.72%	0.85%	0.62%
38	0.24%	0.28%	0.2%	0.68%	0.8%	0.59%
37	0.22%	0.26%	0.19%	0.64%	0.75%	0.55%
36	0.21%	0.24%	0.17%	0.61%	0.71%	0.53%
35	0.2%	0.23%	0.16%	0.57%	0.66%	0.5%
34	0.19%	0.22%	0.16%	0.54%	0.62%	0.47%
33	0.18%	0.21%	0.15%	0.5%	0.58%	0.44%
32	0.17%	0.2%	0.14%	0.47%	0.54%	0.41%
31	0.16%	0.19%	0.13%	0.44%	0.51%	0.39%
30	0.16%	0.19%	0.13%	0.42%	0.48%	0.37%
29	0.15%	0.18%	0.12%	0.4%	0.45%	0.35%
28	0.15%	0.18%	0.12%	0.37%	0.42%	0.33%
27	0.15%	0.18%	0.11%	0.35%	0.4%	0.31%
26	0.14%	0.18%	0.11%	0.33%	0.37%	0.29%
25	0.14%	0.18%	0.11%	0.31%	0.35%	0.26%
24	0.14%	0.18%	0.1%	0.29%	0.33%	0.25%
23	0.14%	0.18%	0.1%	0.27%	0.31%	0.23%
22	0.14%	0.18%	0.09%	0.25%	0.29%	0.21%
21	0.13%	0.17%	0.09%	0.23%	0.27%	0.19%
20	0.13%	0.17%	0.08%	0.21%	0.25%	0.18%
19	0.12%	0.15%	0.08%	0.19%	0.22%	0.16%
18	0.11%	0.14%	0.07%	0.17%	0.2%	0.15%
17	0.09%	0.12%	0.07%	0.15%	0.17%	0.13%
16	0.08%	0.11%	0.06%	0.13%	0.14%	0.12%
15	0.07%	0.09%	0.05%	0.11%	0.12%	0.1%
14	0.06%	0.08%	0.05%	0.1%	0.1%	0.09%
13	0.06%	0.07%	0.04%	0.08%	0.09%	0.08%
12	0.05%	0.07%	0.04%	0.08%	0.08%	0.07%
11	0.05%	0.06%	0.04%	0.07%	0.08%	0.07%
10	0.05%	0.06%	0.04%	0.07%	0.08%	0.07%
9	0.05%	0.07%	0.04%	0.08%	0.08%	0.07%
8	0.06%	0.07%	0.04%	0.08%	0.09%	0.08%
7	0.06%	0.08%	0.04%	0.09%	0.1%	0.09%
6	0.07%	0.09%	0.05%	0.1%	0.11%	0.1%
5	0.09%	0.11%	0.07%	0.12%	0.13%	0.12%
4	0.11%	0.13%	0.09%	0.16%	0.17%	0.16%
3	0.14%	0.16%	0.12%	0.22%	0.22%	0.22%
2	0.18%	0.19%	0.17%	0.32%	0.32%	0.32%
1	0.23%	0.23%	0.24%	0.5%	0.48%	0.52%
0	2.78%	3.18%	2.36%	3.05%	3.4%	2.7%

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

The annual chance of dying is 2.78% in the birth year in Laos and 3.05% in Zimbabwe, 0.16% vs 0.42% at age 30, 1.53% vs 2.37% at 60, and 10.5% vs 9.89% at 80.

Death rate by age in Laos vs Zimbabwe

Chart Table

Laos

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Laos			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	0	0	0	24.9	0	53
99	62.9	32.4	96.4	105.4	43.2	168.4
98	102.9	54.9	155.7	147.6	63.5	232.4
97	162	89.7	241	205	92.4	318
96	244.7	141.7	357	277.6	131.3	423
95	355	216.4	506	366	181.8	548
94	497	320	687	469	244.7	687
93	670	456	899	588	322	843
92	875	626	1,139	724	414	1,016
91	1,108	826	1,403	863	518	1,184
90	1,364	1,050	1,691	1,040	647	1,401
89	1,636	1,289	1,995	1,196	779	1,570
88	1,915	1,533	2,310	1,372	930	1,762
87	2,193	1,779	2,623	1,540	1,088	1,934
86	2,462	2,021	2,921	1,709	1,253	2,102
85	2,712	2,257	3,188	1,858	1,418	2,232
84	2,935	2,481	3,411	1,999	1,583	2,345
83	3,121	2,686	3,579	2,102	1,730	2,403
82	3,264	2,864	3,686	2,197	1,873	2,450
81	3,360	3,007	3,733	2,235	1,982	2,419
80	3,409	3,110	3,723	2,328	2,113	2,474
79	3,415	3,175	3,665	2,358	2,186	2,465
78	3,386	3,205	3,572	2,416	2,272	2,497
77	3,330	3,203	3,453	2,424	2,321	2,470
76	3,251	3,177	3,317	2,444	2,370	2,468
75	3,155	3,129	3,167	2,448	2,404	2,446
74	3,044	3,063	3,008	2,427	2,414	2,401
73	2,920	2,980	2,841	2,393	2,412	2,346
72	2,786	2,883	2,668	2,356	2,400	2,294
71	2,644	2,774	2,492	2,281	2,352	2,203
70	2,496	2,656	2,316	2,250	2,336	2,164
69	2,347	2,531	2,142	2,166	2,269	2,069
68	2,199	2,404	1,975	2,111	2,224	2,007
67	2,052	2,275	1,817	2,050	2,172	1,938
66	1,909	2,148	1,669	1,993	2,121	1,875
65	1,777	2,025	1,532	1,945	2,075	1,824
64	1,654	1,904	1,405	1,866	2,014	1,726
63	1,538	1,788	1,290	1,790	1,952	1,636
62	1,430	1,677	1,184	1,718	1,890	1,553
61	1,329	1,570	1,088	1,632	1,809	1,463
60	1,234	1,466	1,001	1,571	1,756	1,398
59	1,144	1,366	922	1,481	1,664	1,318
58	1,059	1,269	849	1,411	1,599	1,257
57	981	1,175	784	1,341	1,537	1,197
56	908	1,086	725	1,284	1,485	1,146
55	839	1,001	671	1,233	1,440	1,097
54	774	921	621	1,184	1,389	1,052
53	714	847	575	1,140	1,342	1,009
52	659	779	534	1,100	1,298	971
51	609	717	495	1,050	1,245	925
50	562	661	459	1,018	1,207	892
49	519	608	425	969	1,146	846
48	478	560	392	929	1,096	806
47	441	515	362	888	1,046	766
46	405	473	333	850	1,000	731
45	373	434	307	816	958	702
44	343	399	283	779	911	669
43	315	367	261.4	747	871	642
42	291.4	338	242.3	717	834	617
41	270	312	225.5	685	795	592
40	251.2	289.7	210.7	659	766	571
39	234.6	270	197.5	627	725	545
38	220	252.8	185.6	599	691	522
37	206.9	237.7	174.7	568	655	496
36	195.2	224.6	164.7	539	619	473
35	184.8	213.1	155.5	512	586	450
34	175.5	203	147.2	481	550	423
33	167.2	194	139.6	453	517	400
32	159.9	186	133	428	487	379
31	153.5	179.1	127	403	458	356
30	148	173.5	121.8	385	436	341
29	143.6	169.2	117.1	363	409	323
28	140.3	166.6	112.8	343	387	303
27	138	165.6	108.8	324	365	286.2
26	136.2	166	105	304	344	267.1
25	134.9	167.2	101.3	286.4	326	248.2
24	133.8	168.6	97.6	268.5	307	231.1
23	132.3	169.2	93.9	251.5	289	214.4
22	129.8	167.9	90	234.1	270.1	198.3
21	125.7	163.8	85.8	216.1	249.9	182.2
20	119.6	156.5	81.1	200.4	229.9	170.6
19	111.5	145.8	75.8	182.4	209.2	155.3
18	101.8	132.3	69.9	164.9	188.9	140.6
17	91	117.3	63.5	143.2	161.3	124.9
16	80.1	102.2	57.1	122.8	135.4	110
15	70.1	88.4	50.9	106.1	114.9	97.1
14	61.6	77.1	45.4	90.9	97.8	83.9
13	55.1	68.6	40.9	80.4	85.9	74.8
12	50.6	63.1	37.5	73.9	79.4	68.4
11	48.2	60.5	35.4	70.9	76.1	65.5
10	47.9	60.5	34.6	70.4	74.5	66.2
9	49.7	63.2	35.4	72.9	76.9	68.8
8	53.7	68.6	38.1	78.6	83.3	73.8
7	60.6	76.9	43.4	87.5	92.4	82.5
6	70.8	88.6	52.1	98.5	103	94
5	85.6	104.3	65.9	116.6	119.9	113.1
4	106.2	124.5	87	153.9	157.9	149.8
3	134.7	150.2	118.3	211.7	213.4	209.9
2	173.6	182.5	164.1	308	305	311
1	226.1	222.4	230	484	463	505
0	2,780	3,178	2,363	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 Laos, the most common age of death is 79, compared to 0 in Zimbabwe. The median age of death is 74.7 in Laos 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 Laos and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x