Life Expectancy in Guinea-Bissau vs Nepal (1950-2026)

Life expectancy by current age

Chart Table

Guinea-Bissau

Male

Female

Nepal

Male

Female

1x

Current age, years	Total life expectancy, years
	Guinea-Bissau			Nepal
	Average	Male	Female	Average	Male	Female
100	102	101.9	102.1	101.7	101.6	101.7
99	101.1	101	101.2	100.7	100.6	100.8
98	100.2	100.1	100.3	99.8	99.7	99.8
97	99.3	99.2	99.4	98.9	98.8	98.9
96	98.4	98.3	98.5	98	97.9	98
95	97.6	97.4	97.6	97.1	97	97.2
94	96.7	96.6	96.8	96.3	96.1	96.3
93	95.9	95.7	95.9	95.4	95.2	95.5
92	95	94.9	95.1	94.6	94.4	94.7
91	94.2	94	94.3	93.8	93.5	93.9
90	93.4	93.2	93.5	93	92.7	93.1
89	92.6	92.4	92.7	92.2	91.9	92.3
88	91.8	91.6	92	91.4	91.2	91.6
87	91	90.8	91.2	90.7	90.4	90.8
86	90.3	90	90.4	89.9	89.7	90.1
85	89.5	89.3	89.7	89.2	89	89.4
84	88.8	88.5	89	88.5	88.2	88.7
83	88.1	87.8	88.3	87.8	87.6	88
82	87.4	87.1	87.7	87.1	86.9	87.3
81	86.8	86.4	87	86.5	86.2	86.7
80	86.1	85.7	86.4	85.9	85.6	86.1
79	85.5	85.1	85.8	85.3	85	85.5
78	84.9	84.4	85.2	84.7	84.4	85
77	84.3	83.8	84.7	84.2	83.8	84.5
76	83.7	83.2	84.1	83.6	83.2	84
75	83.2	82.6	83.6	83.1	82.7	83.5
74	82.7	82.1	83.1	82.6	82.2	83
73	82.2	81.5	82.6	82.2	81.7	82.6
72	81.7	81	82.1	81.7	81.2	82.2
71	81.2	80.5	81.7	81.3	80.7	81.8
70	80.7	80	81.3	80.9	80.3	81.4
69	80.3	79.5	80.9	80.5	79.8	81
68	79.9	79.1	80.5	80.1	79.4	80.7
67	79.5	78.6	80.1	79.7	79	80.4
66	79.1	78.2	79.8	79.4	78.6	80
65	78.7	77.8	79.4	79	78.3	79.8
64	78.4	77.4	79.1	78.7	77.9	79.5
63	78	77	78.8	78.4	77.6	79.2
62	77.7	76.6	78.5	78.2	77.3	79
61	77.4	76.3	78.2	77.9	77	78.8
60	77.1	75.9	78	77.6	76.7	78.5
59	76.8	75.6	77.7	77.4	76.4	78.3
58	76.5	75.3	77.5	77.2	76.1	78.1
57	76.3	75	77.2	77	75.9	77.9
56	76	74.7	77	76.7	75.7	77.8
55	75.7	74.4	76.8	76.5	75.4	77.6
54	75.5	74.1	76.6	76.4	75.2	77.4
53	75.2	73.8	76.4	76.2	75	77.3
52	75	73.5	76.2	76	74.8	77.1
51	74.8	73.3	76	75.9	74.7	77
50	74.6	73	75.8	75.7	74.5	76.9
49	74.4	72.8	75.6	75.6	74.4	76.7
48	74.2	72.6	75.5	75.4	74.2	76.6
47	74	72.4	75.3	75.3	74.1	76.5
46	73.8	72.1	75.1	75.2	73.9	76.4
45	73.6	71.9	75	75.1	73.8	76.3
44	73.4	71.7	74.8	75	73.7	76.2
43	73.3	71.5	74.7	74.9	73.6	76.1
42	73.1	71.4	74.6	74.8	73.5	76
41	72.9	71.2	74.4	74.7	73.4	75.9
40	72.8	71	74.3	74.6	73.3	75.8
39	72.6	70.8	74.2	74.5	73.2	75.8
38	72.5	70.7	74	74.5	73.2	75.7
37	72.3	70.5	73.9	74.4	73.1	75.6
36	72.2	70.3	73.8	74.3	73	75.5
35	72	70.2	73.7	74.3	72.9	75.5
34	71.9	70	73.5	74.2	72.9	75.4
33	71.8	69.9	73.4	74.1	72.8	75.4
32	71.7	69.7	73.3	74.1	72.7	75.3
31	71.5	69.6	73.2	74	72.7	75.2
30	71.4	69.5	73.1	73.9	72.6	75.2
29	71.3	69.3	73	73.9	72.6	75.1
28	71.2	69.2	72.9	73.8	72.5	75.1
27	71.1	69.1	72.8	73.8	72.4	75
26	70.9	68.9	72.7	73.7	72.4	75
25	70.8	68.8	72.6	73.6	72.3	74.9
24	70.7	68.7	72.5	73.6	72.2	74.8
23	70.6	68.5	72.4	73.5	72.1	74.8
22	70.5	68.4	72.4	73.5	72.1	74.7
21	70.4	68.3	72.3	73.4	72	74.7
20	70.3	68.2	72.2	73.3	71.9	74.7
19	70.2	68.1	72.1	73.3	71.9	74.6
18	70.1	68	72	73.2	71.8	74.6
17	70	67.9	72	73.2	71.8	74.5
16	69.9	67.8	71.9	73.1	71.7	74.5
15	69.9	67.7	71.8	73.1	71.7	74.5
14	69.8	67.6	71.8	73.1	71.6	74.4
13	69.7	67.6	71.7	73	71.6	74.4
12	69.7	67.5	71.7	73	71.6	74.4
11	69.6	67.4	71.6	73	71.5	74.4
10	69.6	67.4	71.5	73	71.5	74.3
9	69.5	67.3	71.5	72.9	71.5	74.3
8	69.4	67.2	71.4	72.9	71.4	74.3
7	69.3	67.1	71.3	72.9	71.4	74.3
6	69.2	67	71.2	72.8	71.3	74.2
5	69.1	66.9	71.1	72.8	71.3	74.2
4	68.9	66.7	70.9	72.7	71.2	74.1
3	68.7	66.5	70.7	72.7	71.2	74.1
2	68.3	66.1	70.4	72.6	71.1	74
1	67.7	65.5	69.8	72.5	71	73.9
0	64.6	62.1	66.9	71.2	69.6	72.7

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 Guinea-Bissau can expect to live to 71.4 years compared to 73.9 in Nepal, rising to 78.7 and 79 at 65, and to 86.1 and 85.9 at 80 — higher than the 64.6 and 71.2 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Guinea-Bissau and Nepal.

Probability of surviving to a given age

Chart Table

Guinea-Bissau

Male

Female

Nepal

Male

Female

1x

Age	Survival probability
	Guinea-Bissau			Nepal
	Average	Male	Female	Average	Male	Female
100	0.17%	0.1%	0.25%	0.09%	0.05%	0.13%
99	0.27%	0.15%	0.39%	0.16%	0.09%	0.23%
98	0.41%	0.24%	0.58%	0.27%	0.15%	0.39%
97	0.61%	0.36%	0.85%	0.45%	0.26%	0.63%
96	0.89%	0.54%	1.23%	0.71%	0.43%	0.99%
95	1.27%	0.79%	1.73%	1.1%	0.69%	1.5%
94	1.76%	1.12%	2.37%	1.63%	1.06%	2.19%
93	2.4%	1.55%	3.18%	2.35%	1.6%	3.1%
92	3.19%	2.11%	4.18%	3.29%	2.32%	4.24%
91	4.14%	2.81%	5.38%	4.47%	3.28%	5.65%
90	5.32%	3.67%	6.82%	5.92%	4.48%	7.36%
89	6.68%	4.71%	8.48%	7.66%	5.94%	9.36%
88	8.27%	5.94%	10.4%	9.68%	7.66%	11.7%
87	10.1%	7.36%	12.5%	12%	9.64%	14.3%
86	12.1%	8.99%	14.9%	14.6%	11.9%	17.3%
85	14.3%	10.8%	17.4%	17.4%	14.4%	20.5%
84	16.7%	12.8%	20.2%	20.5%	17.1%	23.9%
83	19.3%	15%	23%	23.8%	20%	27.5%
82	21.9%	17.3%	26%	27.2%	23.1%	31.2%
81	24.7%	19.7%	28.9%	30.7%	26.3%	35%
80	27.5%	22.3%	32%	34.2%	29.6%	38.7%
79	30.4%	24.9%	35.1%	37.7%	32.9%	42.4%
78	33.2%	27.5%	38.1%	41.2%	36.3%	46%
77	36.1%	30.2%	41.1%	44.6%	39.6%	49.5%
76	38.9%	32.9%	44.1%	48%	42.9%	52.8%
75	41.7%	35.6%	46.9%	51.2%	46.1%	56%
74	44.4%	38.3%	49.7%	54.3%	49.3%	59.1%
73	47%	40.9%	52.4%	57.2%	52.3%	62%
72	49.6%	43.5%	54.9%	60%	55.2%	64.6%
71	51.9%	45.9%	57.3%	62.7%	58%	67.2%
70	54.3%	48.3%	59.6%	65.2%	60.7%	69.5%
69	56.4%	50.6%	61.7%	67.6%	63.3%	71.7%
68	58.5%	52.8%	63.6%	69.8%	65.7%	73.7%
67	60.4%	54.9%	65.5%	71.8%	67.9%	75.5%
66	62.2%	56.9%	67.2%	73.8%	70.1%	77.2%
65	64%	58.8%	68.8%	75.5%	72%	78.8%
64	65.6%	60.6%	70.4%	77.2%	73.9%	80.2%
63	67.2%	62.4%	71.8%	78.7%	75.7%	81.5%
62	68.6%	64%	73.1%	80.1%	77.3%	82.7%
61	70%	65.6%	74.3%	81.4%	78.8%	83.8%
60	71.3%	67.1%	75.4%	82.6%	80.2%	84.8%
59	72.5%	68.4%	76.5%	83.7%	81.5%	85.7%
58	73.6%	69.7%	77.5%	84.8%	82.7%	86.6%
57	74.7%	70.9%	78.4%	85.7%	83.9%	87.4%
56	75.7%	72.1%	79.2%	86.6%	84.9%	88.1%
55	76.6%	73.2%	80%	87.4%	85.8%	88.8%
54	77.5%	74.3%	80.8%	88.2%	86.7%	89.5%
53	78.4%	75.3%	81.5%	88.8%	87.5%	90%
52	79.2%	76.2%	82.2%	89.5%	88.2%	90.6%
51	79.9%	77.1%	82.8%	90%	88.9%	91.1%
50	80.7%	78%	83.4%	90.6%	89.5%	91.5%
49	81.3%	78.8%	84%	91.1%	90%	92%
48	82%	79.5%	84.5%	91.5%	90.5%	92.4%
47	82.6%	80.2%	85%	91.9%	91%	92.7%
46	83.1%	80.9%	85.4%	92.3%	91.4%	93.1%
45	83.7%	81.5%	85.9%	92.6%	91.8%	93.4%
44	84.2%	82.1%	86.3%	93%	92.2%	93.7%
43	84.7%	82.7%	86.7%	93.2%	92.5%	94%
42	85.1%	83.2%	87.1%	93.5%	92.8%	94.2%
41	85.6%	83.7%	87.5%	93.8%	93.1%	94.4%
40	86%	84.2%	87.8%	94%	93.3%	94.6%
39	86.4%	84.7%	88.1%	94.2%	93.5%	94.8%
38	86.8%	85.1%	88.5%	94.4%	93.7%	95%
37	87.1%	85.5%	88.8%	94.6%	93.9%	95.2%
36	87.5%	85.9%	89%	94.8%	94.1%	95.4%
35	87.8%	86.3%	89.3%	94.9%	94.3%	95.5%
34	88.1%	86.7%	89.6%	95.1%	94.5%	95.7%
33	88.4%	87%	89.8%	95.2%	94.6%	95.8%
32	88.7%	87.4%	90.1%	95.4%	94.8%	96%
31	89%	87.7%	90.3%	95.5%	95%	96.1%
30	89.2%	88%	90.5%	95.7%	95.1%	96.2%
29	89.5%	88.3%	90.7%	95.8%	95.2%	96.3%
28	89.7%	88.6%	90.9%	95.9%	95.4%	96.5%
27	90%	88.9%	91.1%	96%	95.5%	96.6%
26	90.2%	89.1%	91.3%	96.2%	95.7%	96.7%
25	90.4%	89.4%	91.5%	96.3%	95.8%	96.8%
24	90.7%	89.7%	91.7%	96.4%	95.9%	96.9%
23	90.9%	89.9%	91.8%	96.5%	96.1%	97%
22	91.1%	90.2%	92%	96.6%	96.2%	97.1%
21	91.3%	90.4%	92.2%	96.7%	96.3%	97.2%
20	91.5%	90.6%	92.3%	96.8%	96.5%	97.2%
19	91.6%	90.9%	92.5%	97%	96.6%	97.3%
18	91.8%	91%	92.6%	97%	96.7%	97.4%
17	92%	91.2%	92.7%	97.1%	96.8%	97.5%
16	92.1%	91.4%	92.8%	97.2%	96.9%	97.5%
15	92.2%	91.5%	92.9%	97.3%	97%	97.6%
14	92.3%	91.6%	93%	97.3%	97%	97.6%
13	92.4%	91.7%	93.1%	97.4%	97.1%	97.6%
12	92.5%	91.8%	93.2%	97.4%	97.1%	97.7%
11	92.6%	91.9%	93.3%	97.4%	97.2%	97.7%
10	92.7%	92%	93.4%	97.5%	97.2%	97.8%
9	92.8%	92.2%	93.5%	97.5%	97.3%	97.8%
8	92.9%	92.3%	93.6%	97.6%	97.3%	97.8%
7	93.1%	92.4%	93.7%	97.6%	97.4%	97.9%
6	93.2%	92.6%	93.8%	97.7%	97.5%	97.9%
5	93.4%	92.8%	94%	97.8%	97.5%	98%
4	93.6%	93%	94.2%	97.8%	97.6%	98.1%
3	94%	93.4%	94.6%	97.9%	97.7%	98.2%
2	94.5%	94%	95.1%	98%	97.8%	98.3%
1	95.3%	94.8%	95.9%	98.1%	97.9%	98.4%

This chart shows the odds of living to each age from birth. 71.3% of newborns in Guinea-Bissau and 82.6% in Nepal are expected to live past 60, 54.3% and 65.2% past 70, 27.5% and 34.2% past 80, and only 5.32% and 5.92% past 90.

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

Odds of dying at each age

Chart Table

Guinea-Bissau

Male

Female

Nepal

Male

Female

1x

Age	Probability of dying
	Guinea-Bissau			Nepal
	Average	Male	Female	Average	Male	Female
100	37.5%	38.9%	36.9%	45.7%	47.1%	45.1%
99	36.1%	37.5%	35.4%	43.5%	45.2%	42.8%
98	34.2%	35.7%	33.5%	41.5%	43.2%	40.8%
97	32.8%	34.3%	32%	39.4%	41.2%	38.7%
96	31.3%	32.8%	30.5%	37.2%	39.3%	36.4%
95	29.7%	31.3%	28.9%	35%	37.3%	34%
94	28%	29.6%	27.1%	32.8%	35.4%	31.6%
93	26.3%	28%	25.5%	30.6%	33.4%	29.2%
92	24.8%	26.4%	23.9%	28.5%	31.2%	27%
91	23.1%	24.8%	22.2%	26.4%	29%	25%
90	22.1%	23.6%	21.2%	24.5%	26.8%	23.1%
89	20.4%	22%	19.5%	22.7%	24.6%	21.4%
88	19.2%	20.7%	18.3%	20.9%	22.5%	19.9%
87	17.9%	19.3%	17%	19.3%	20.6%	18.4%
86	16.7%	18.1%	15.9%	17.8%	18.8%	17%
85	15.5%	16.8%	14.7%	16.3%	17.3%	15.7%
84	14.4%	15.7%	13.6%	15%	15.9%	14.4%
83	13.2%	14.5%	12.4%	13.7%	14.6%	13.1%
82	12.2%	13.4%	11.4%	12.5%	13.4%	11.9%
81	11%	12.2%	10.3%	11.4%	12.2%	10.7%
80	10.3%	11.4%	9.62%	10.3%	11.2%	9.68%
79	9.4%	10.5%	8.71%	9.35%	10.2%	8.71%
78	8.69%	9.71%	8.04%	8.46%	9.25%	7.82%
77	7.9%	8.89%	7.28%	7.65%	8.42%	7.03%
76	7.28%	8.22%	6.7%	6.93%	7.67%	6.33%
75	6.69%	7.58%	6.14%	6.28%	6.99%	5.7%
74	6.1%	6.96%	5.58%	5.7%	6.37%	5.14%
73	5.56%	6.39%	5.07%	5.17%	5.81%	4.63%
72	5.1%	5.88%	4.63%	4.69%	5.3%	4.17%
71	4.57%	5.32%	4.12%	4.25%	4.84%	3.75%
70	4.26%	4.97%	3.84%	3.85%	4.41%	3.37%
69	3.82%	4.5%	3.4%	3.49%	4.01%	3.02%
68	3.51%	4.15%	3.11%	3.16%	3.66%	2.71%
67	3.2%	3.82%	2.82%	2.86%	3.33%	2.44%
66	2.94%	3.52%	2.57%	2.59%	3.03%	2.19%
65	2.73%	3.28%	2.37%	2.35%	2.77%	1.97%
64	2.51%	3.02%	2.16%	2.13%	2.52%	1.78%
63	2.31%	2.79%	1.97%	1.94%	2.31%	1.61%
62	2.13%	2.58%	1.8%	1.76%	2.11%	1.45%
61	1.94%	2.35%	1.62%	1.6%	1.93%	1.32%
60	1.82%	2.2%	1.52%	1.46%	1.76%	1.2%
59	1.65%	2.01%	1.36%	1.33%	1.61%	1.09%
58	1.53%	1.86%	1.26%	1.21%	1.47%	1%
57	1.41%	1.72%	1.15%	1.11%	1.34%	0.91%
56	1.32%	1.61%	1.08%	1.01%	1.21%	0.83%
55	1.24%	1.51%	1%	0.92%	1.1%	0.77%
54	1.16%	1.42%	0.94%	0.84%	1%	0.7%
53	1.09%	1.33%	0.88%	0.77%	0.9%	0.65%
52	1.03%	1.25%	0.83%	0.7%	0.82%	0.6%
51	0.94%	1.15%	0.76%	0.64%	0.74%	0.55%
50	0.9%	1.09%	0.72%	0.59%	0.68%	0.51%
49	0.83%	1.01%	0.66%	0.54%	0.62%	0.47%
48	0.77%	0.94%	0.62%	0.49%	0.56%	0.43%
47	0.72%	0.88%	0.58%	0.45%	0.51%	0.4%
46	0.68%	0.82%	0.54%	0.41%	0.46%	0.36%
45	0.65%	0.78%	0.52%	0.37%	0.42%	0.33%
44	0.61%	0.73%	0.49%	0.34%	0.38%	0.31%
43	0.57%	0.69%	0.46%	0.31%	0.35%	0.28%
42	0.55%	0.65%	0.45%	0.29%	0.32%	0.26%
41	0.51%	0.61%	0.42%	0.26%	0.29%	0.24%
40	0.49%	0.58%	0.4%	0.24%	0.27%	0.23%
39	0.46%	0.55%	0.38%	0.23%	0.25%	0.21%
38	0.44%	0.52%	0.36%	0.21%	0.23%	0.2%
37	0.41%	0.49%	0.34%	0.2%	0.21%	0.19%
36	0.39%	0.47%	0.32%	0.19%	0.2%	0.18%
35	0.37%	0.44%	0.31%	0.18%	0.19%	0.17%
34	0.36%	0.42%	0.29%	0.17%	0.18%	0.16%
33	0.34%	0.4%	0.28%	0.16%	0.17%	0.15%
32	0.32%	0.38%	0.27%	0.15%	0.16%	0.14%
31	0.31%	0.36%	0.25%	0.15%	0.16%	0.14%
30	0.3%	0.35%	0.24%	0.14%	0.15%	0.13%
29	0.28%	0.34%	0.23%	0.14%	0.15%	0.12%
28	0.28%	0.33%	0.22%	0.13%	0.15%	0.12%
27	0.27%	0.32%	0.22%	0.13%	0.14%	0.12%
26	0.26%	0.31%	0.21%	0.13%	0.14%	0.11%
25	0.25%	0.3%	0.2%	0.12%	0.14%	0.11%
24	0.24%	0.3%	0.19%	0.12%	0.15%	0.1%
23	0.24%	0.29%	0.18%	0.12%	0.15%	0.1%
22	0.23%	0.28%	0.18%	0.12%	0.15%	0.09%
21	0.22%	0.26%	0.17%	0.12%	0.14%	0.09%
20	0.21%	0.25%	0.16%	0.11%	0.14%	0.09%
19	0.19%	0.23%	0.15%	0.1%	0.13%	0.08%
18	0.18%	0.21%	0.14%	0.1%	0.12%	0.07%
17	0.16%	0.19%	0.13%	0.08%	0.1%	0.07%
16	0.14%	0.16%	0.12%	0.07%	0.09%	0.06%
15	0.13%	0.14%	0.11%	0.06%	0.07%	0.05%
14	0.12%	0.13%	0.1%	0.06%	0.06%	0.05%
13	0.11%	0.12%	0.1%	0.05%	0.06%	0.04%
12	0.1%	0.11%	0.09%	0.05%	0.05%	0.04%
11	0.1%	0.11%	0.09%	0.04%	0.05%	0.04%
10	0.11%	0.12%	0.09%	0.04%	0.05%	0.04%
9	0.11%	0.12%	0.1%	0.05%	0.05%	0.04%
8	0.12%	0.13%	0.11%	0.05%	0.06%	0.04%
7	0.14%	0.15%	0.13%	0.06%	0.06%	0.05%
6	0.17%	0.18%	0.15%	0.06%	0.07%	0.05%
5	0.2%	0.21%	0.19%	0.07%	0.08%	0.06%
4	0.26%	0.28%	0.25%	0.08%	0.08%	0.07%
3	0.37%	0.4%	0.35%	0.09%	0.09%	0.08%
2	0.54%	0.58%	0.5%	0.1%	0.1%	0.1%
1	0.88%	0.94%	0.83%	0.11%	0.11%	0.11%
0	4.65%	5.15%	4.15%	1.86%	2.07%	1.64%

This chart displays the probability of dying at any given age in Guinea-Bissau compared to Nepal, as mortality rates vary throughout a lifetime.

The annual chance of dying is 4.65% in the birth year in Guinea-Bissau and 1.86% in Nepal, 0.3% vs 0.14% at age 30, 1.82% vs 1.46% at 60, and 10.3% vs 10.3% at 80.

Death rate by age in Guinea-Bissau vs Nepal

Chart Table

Guinea-Bissau

Male

Female

Nepal

Male

Female

1x

Age	Death rate
	Guinea-Bissau			Nepal
	Total	Male	Female	Total	Male	Female
100	10.5	0	24.3	0	0	0
99	98	57.6	136.6	68.9	39.5	97.6
98	141.4	85.4	194.6	112.5	66.5	157.4
97	201.5	124.9	273.7	176.4	108	243.4
96	279.6	177.9	375	265.6	169.4	360
95	377	246.6	499	384	256.9	510
94	493	331	643	535	377	692
93	631	435	810	720	533	905
92	791	558	1,001	937	726	1,146
91	959	695	1,195	1,182	951	1,412
90	1,173	865	1,447	1,451	1,200	1,701
89	1,366	1,035	1,657	1,735	1,460	2,008
88	1,587	1,228	1,900	2,026	1,724	2,324
87	1,803	1,424	2,129	2,315	1,985	2,639
86	2,022	1,627	2,357	2,592	2,238	2,938
85	2,219	1,819	2,554	2,849	2,481	3,207
84	2,407	2,014	2,732	3,076	2,708	3,432
83	2,545	2,169	2,850	3,263	2,911	3,602
82	2,671	2,318	2,955	3,404	3,082	3,711
81	2,719	2,409	2,966	3,494	3,213	3,758
80	2,842	2,546	3,078	3,533	3,301	3,749
79	2,853	2,605	3,052	3,528	3,347	3,693
78	2,888	2,674	3,064	3,487	3,357	3,601
77	2,852	2,688	2,994	3,416	3,335	3,482
76	2,832	2,707	2,950	3,323	3,289	3,346
75	2,789	2,702	2,883	3,214	3,223	3,197
74	2,710	2,666	2,774	3,093	3,140	3,038
73	2,618	2,614	2,655	2,960	3,041	2,870
72	2,527	2,557	2,542	2,818	2,930	2,697
71	2,375	2,444	2,361	2,668	2,807	2,519
70	2,313	2,399	2,287	2,514	2,676	2,342
69	2,152	2,277	2,096	2,358	2,539	2,167
68	2,051	2,193	1,979	2,205	2,400	1,998
67	1,934	2,096	1,843	2,055	2,261	1,839
66	1,830	2,002	1,725	1,912	2,125	1,690
65	1,748	1,928	1,631	1,776	1,992	1,552
64	1,645	1,832	1,517	1,646	1,865	1,425
63	1,551	1,740	1,414	1,525	1,744	1,308
62	1,463	1,651	1,319	1,412	1,629	1,202
61	1,354	1,541	1,204	1,307	1,520	1,104
60	1,297	1,477	1,147	1,208	1,416	1,016
59	1,195	1,374	1,041	1,115	1,314	935
58	1,127	1,299	974	1,029	1,216	862
57	1,055	1,223	903	949	1,122	796
56	1,002	1,164	854	877	1,030	736
55	949	1,106	803	808	944	681
54	903	1,054	760	742	863	631
53	854	1,000	715	681	789	585
52	812	952	680	626	722	542
51	755	890	627	577	661	503
50	724	853	602	531	606	466
49	673	794	555	488	555	432
48	635	748	523	449	508	399
47	596	702	489	412	464	368
46	565	663	465	377	423	339
45	540	633	445	345	386	312
44	510	597	422	316	351	287.9
43	486	566	403	289.7	320	266.1
42	467	543	389	266.7	292.7	246.8
41	438	509	364	246.5	268.5	229.9
40	423	492	353	228.8	247.4	215
39	399	463	332	213.3	229.3	201.6
38	381	442	318	199.6	213.6	189.5
37	360	420	300	187.6	200.2	178.3
36	345	401	287.1	176.8	188.7	168
35	329	383	273.7	167.2	178.8	158.6
34	313	364	260.9	158.7	170.1	150
33	299.4	348	249.4	151.1	162.4	142.4
32	287.1	334	238.9	144.6	155.7	135.8
31	272.8	318	226.6	138.8	149.8	130
30	265.8	309	221	133.9	145	124.8
29	254.6	297.3	210.8	129.7	141.2	120.1
28	247.1	288.9	204.1	126.2	138.8	115.7
27	239.2	281.1	196.1	123.5	137.6	111.3
26	232.7	275	189.2	121.3	137.5	107.1
25	226.7	269.7	182.4	119.6	138.3	102.9
24	220.9	264.6	175.9	118.3	139.4	99
23	214.4	258.3	169.1	117	140.1	95.4
22	207.1	250.3	162.5	115.3	139.6	91.9
21	198.1	239.1	155.7	112.5	137	88.4
20	187.7	225.3	148.9	107.8	131.6	84.2
19	175.7	208.8	141.4	101.1	123.1	79
18	162.7	190.8	133.7	92.4	111.7	72.7
17	147.6	170	124.3	82.1	98.4	65.2
16	133.3	150.2	115.7	71.6	85	57.5
15	118.9	131.9	105.5	61.8	72.7	50.3
14	108.2	118.9	97	53.8	62.7	44.2
13	100.2	109.3	90.8	47.9	55.6	39.7
12	95.9	104.1	87.3	44.3	51.2	37
11	94.7	102.7	86.4	42.9	49.4	35.9
10	97.5	106.1	88.5	43.4	49.8	36.5
9	103.7	113.1	93.9	45.6	52.2	38.6
8	114.4	124.3	104.1	49.4	56.2	42.1
7	130.9	141.4	119.9	54.6	61.5	47.2
6	154.2	165.3	142.6	60.9	67.9	53.7
5	187.5	199.5	175	68.4	74.9	61.7
4	247.5	262.6	231.7	77	82.6	71.3
3	349	371	327	86.8	90.8	82.8
2	511	542	480	98.1	99.7	96.4
1	843	888	797	111.4	110	112.9
0	4,655	5,152	4,147	1,857	2,067	1,637

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 Guinea-Bissau, the most common age of death is 0, compared to 80 in Nepal. The median age of death is 71.8 in Guinea-Bissau and 75.4 in Nepal, 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 Guinea-Bissau and Nepal more than their death rates.

Life expectancy in other countries

+ -

1x