Life Expectancy in Congo vs Philippines (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 the Congo vs the Philippines: 70.7 years vs 73.1 at 30, 78.3 vs 79.2 at 65, 85.9 vs 86.2 at 80 — significantly higher than the 66.4 vs 70.2 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in the Congo and the Philippines.

Table

Current age, years	Total life expectancy, years
	Congo			Philippines
	Average	Male	Female	Average	Male	Female
0	66.4	64.7	68.2	70.2	67.2	73.2
1	68.2	66.7	69.8	71.5	68.6	74.5
2	68.5	67	70.1	71.7	68.8	74.7
3	68.7	67.2	70.3	71.8	68.9	74.8
4	68.8	67.3	70.4	71.9	69	74.9
5	68.9	67.4	70.5	72	69.1	75
6	69	67.4	70.6	72	69.1	75
7	69.1	67.5	70.6	72.1	69.2	75
8	69.1	67.5	70.7	72.1	69.2	75.1
9	69.2	67.6	70.7	72.1	69.2	75.1
10	69.2	67.6	70.8	72.1	69.2	75.1
11	69.2	67.7	70.8	72.2	69.3	75.1
12	69.3	67.7	70.8	72.2	69.3	75.2
13	69.3	67.8	70.9	72.2	69.3	75.2
14	69.3	67.8	70.9	72.2	69.3	75.2
15	69.4	67.8	71	72.3	69.4	75.2
16	69.4	67.9	71	72.3	69.4	75.3
17	69.5	68	71.1	72.3	69.5	75.3
18	69.6	68	71.1	72.4	69.5	75.3
19	69.6	68.1	71.2	72.4	69.6	75.4
20	69.7	68.2	71.2	72.5	69.6	75.4
21	69.8	68.3	71.3	72.5	69.7	75.4
22	69.9	68.4	71.4	72.6	69.8	75.5
23	70	68.5	71.5	72.6	69.8	75.5
24	70.1	68.6	71.5	72.7	69.9	75.5
25	70.1	68.7	71.6	72.8	70	75.6
26	70.2	68.8	71.7	72.8	70.1	75.6
27	70.3	68.9	71.8	72.9	70.2	75.7
28	70.5	69	71.9	73	70.3	75.7
29	70.6	69.1	72	73	70.3	75.8
30	70.7	69.3	72.1	73.1	70.4	75.8
31	70.8	69.4	72.2	73.2	70.5	75.9
32	70.9	69.5	72.3	73.3	70.6	75.9
33	71	69.6	72.4	73.3	70.7	76
34	71.2	69.8	72.5	73.4	70.8	76
35	71.3	69.9	72.7	73.5	70.9	76.1
36	71.4	70.1	72.8	73.6	71	76.2
37	71.6	70.2	72.9	73.7	71.2	76.2
38	71.7	70.4	73.1	73.8	71.3	76.3
39	71.9	70.5	73.2	73.9	71.4	76.4
40	72	70.7	73.3	74	71.5	76.5
41	72.2	70.9	73.5	74.1	71.7	76.6
42	72.3	71	73.7	74.2	71.8	76.6
43	72.5	71.2	73.8	74.4	72	76.7
44	72.7	71.4	74	74.5	72.1	76.8
45	72.9	71.6	74.1	74.6	72.3	76.9
46	73.1	71.8	74.3	74.8	72.4	77
47	73.3	72	74.5	74.9	72.6	77.2
48	73.5	72.2	74.7	75.1	72.8	77.3
49	73.7	72.5	74.9	75.2	73	77.4
50	73.9	72.7	75.1	75.4	73.2	77.5
51	74.1	73	75.3	75.6	73.4	77.7
52	74.4	73.2	75.5	75.8	73.7	77.8
53	74.6	73.5	75.7	76	73.9	78
54	74.9	73.8	75.9	76.2	74.1	78.2
55	75.1	74.1	76.2	76.4	74.4	78.3
56	75.4	74.4	76.4	76.7	74.7	78.5
57	75.7	74.7	76.7	76.9	75	78.7
58	76	75	76.9	77.2	75.2	78.9
59	76.3	75.3	77.2	77.4	75.6	79.1
60	76.6	75.6	77.4	77.7	75.9	79.3
61	76.9	76	77.7	78	76.2	79.5
62	77.2	76.4	78	78.2	76.5	79.7
63	77.6	76.7	78.3	78.5	76.9	79.9
64	77.9	77.1	78.6	78.9	77.3	80.2
65	78.3	77.5	79	79.2	77.7	80.4
66	78.7	77.9	79.3	79.5	78.1	80.7
67	79.1	78.4	79.7	79.9	78.5	81
68	79.5	78.8	80	80.3	79	81.3
69	79.9	79.3	80.4	80.7	79.4	81.6
70	80.3	79.8	80.8	81.1	79.9	82
71	80.8	80.3	81.3	81.5	80.4	82.3
72	81.3	80.8	81.7	82	80.9	82.7
73	81.8	81.3	82.2	82.4	81.4	83.1
74	82.3	81.9	82.7	82.9	82	83.5
75	82.9	82.5	83.2	83.4	82.5	84
76	83.4	83.1	83.7	83.9	83.1	84.4
77	84	83.7	84.3	84.5	83.7	84.9
78	84.6	84.3	84.8	85.1	84.3	85.4
79	85.2	85	85.4	85.6	85	86
80	85.9	85.7	86	86.2	85.6	86.5
81	86.5	86.4	86.7	86.9	86.3	87.1
82	87.2	87.1	87.3	87.5	87	87.7
83	87.9	87.8	88	88.1	87.7	88.3
84	88.6	88.5	88.7	88.8	88.4	89
85	89.3	89.3	89.4	89.5	89.1	89.7
86	90.1	90.1	90.1	90.2	89.9	90.4
87	90.9	90.9	90.9	91	90.6	91.1
88	91.6	91.6	91.6	91.7	91.4	91.8
89	92.4	92.5	92.4	92.5	92.2	92.6
90	93.2	93.3	93.2	93.3	93	93.3
91	94	94.1	94	94.1	93.8	94.1
92	94.9	94.9	94.8	94.9	94.7	94.9
93	95.7	95.8	95.7	95.7	95.5	95.7
94	96.6	96.7	96.5	96.5	96.4	96.5
95	97.4	97.5	97.4	97.3	97.2	97.4
96	98.3	98.4	98.2	98.2	98.1	98.2
97	99.2	99.3	99.1	99.1	99	99.1
98	100.1	100.2	100.1	100	99.9	100
99	101	101	101	100.9	100.8	100.9
100	101.9	101.9	101.9	101.9	101.7	101.9

Odds of living to age in Congo vs Philippines

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 73.1% in the Congo and 79.7% in the Philippines are expected to survive till at least 60 years old, 54.5% and 62.2% will live to 70 years or older, 26.4% and 33% to 80+ years, and 4.63% and 6.61% 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
	Congo			Philippines
	Average	Male	Female	Average	Male	Female
1	97.3%	97%	97.7%	98.1%	97.9%	98.3%
2	96.9%	96.6%	97.2%	97.8%	97.6%	98%
3	96.6%	96.3%	96.9%	97.7%	97.5%	97.9%
4	96.4%	96.1%	96.8%	97.5%	97.3%	97.8%
5	96.3%	96%	96.6%	97.5%	97.2%	97.7%
6	96.2%	95.9%	96.5%	97.4%	97.2%	97.6%
7	96.1%	95.8%	96.4%	97.3%	97.1%	97.6%
8	96%	95.7%	96.4%	97.3%	97.1%	97.5%
9	96%	95.6%	96.3%	97.3%	97%	97.5%
10	95.9%	95.6%	96.2%	97.2%	97%	97.5%
11	95.8%	95.5%	96.2%	97.2%	97%	97.4%
12	95.8%	95.4%	96.1%	97.2%	96.9%	97.4%
13	95.7%	95.4%	96.1%	97.1%	96.9%	97.4%
14	95.7%	95.3%	96%	97.1%	96.8%	97.3%
15	95.6%	95.2%	95.9%	97%	96.8%	97.3%
16	95.5%	95.1%	95.9%	97%	96.7%	97.2%
17	95.4%	95%	95.8%	96.9%	96.6%	97.2%
18	95.3%	94.9%	95.7%	96.8%	96.5%	97.1%
19	95.1%	94.7%	95.6%	96.7%	96.4%	97.1%
20	95%	94.5%	95.4%	96.6%	96.3%	97%
21	94.8%	94.4%	95.3%	96.5%	96.2%	96.9%
22	94.7%	94.2%	95.2%	96.4%	96%	96.9%
23	94.5%	94%	95%	96.3%	95.9%	96.8%
24	94.3%	93.7%	94.9%	96.2%	95.7%	96.7%
25	94.1%	93.5%	94.7%	96.1%	95.6%	96.6%
26	93.9%	93.3%	94.5%	95.9%	95.4%	96.5%
27	93.7%	93%	94.3%	95.8%	95.2%	96.5%
28	93.4%	92.8%	94.1%	95.7%	95%	96.4%
29	93.2%	92.5%	93.9%	95.5%	94.8%	96.3%
30	93%	92.2%	93.7%	95.3%	94.6%	96.2%
31	92.7%	92%	93.4%	95.2%	94.3%	96.1%
32	92.4%	91.7%	93.2%	95%	94.1%	96%
33	92.1%	91.3%	92.9%	94.8%	93.9%	95.8%
34	91.8%	91%	92.6%	94.6%	93.6%	95.7%
35	91.5%	90.6%	92.4%	94.4%	93.3%	95.6%
36	91.1%	90.3%	92%	94.2%	93%	95.4%
37	90.8%	89.9%	91.7%	93.9%	92.7%	95.2%
38	90.4%	89.5%	91.4%	93.7%	92.4%	95%
39	90%	89%	91%	93.4%	92%	94.9%
40	89.5%	88.5%	90.6%	93.1%	91.7%	94.7%
41	89.1%	88%	90.2%	92.8%	91.3%	94.4%
42	88.6%	87.5%	89.7%	92.5%	90.9%	94.2%
43	88.1%	86.9%	89.3%	92.1%	90.4%	93.9%
44	87.6%	86.3%	88.8%	91.8%	89.9%	93.7%
45	87%	85.7%	88.3%	91.4%	89.4%	93.4%
46	86.4%	85%	87.8%	90.9%	88.9%	93%
47	85.7%	84.3%	87.2%	90.4%	88.3%	92.7%
48	85.1%	83.6%	86.6%	89.9%	87.6%	92.3%
49	84.3%	82.8%	86%	89.3%	86.9%	91.9%
50	83.6%	81.9%	85.3%	88.7%	86.1%	91.4%
51	82.8%	81%	84.6%	88.1%	85.3%	91%
52	81.9%	80%	83.8%	87.4%	84.4%	90.4%
53	81%	79%	83%	86.6%	83.5%	89.9%
54	80%	77.9%	82.2%	85.8%	82.5%	89.3%
55	79%	76.7%	81.3%	85%	81.4%	88.7%
56	77.9%	75.5%	80.4%	84%	80.3%	88%
57	76.8%	74.3%	79.4%	83.1%	79%	87.3%
58	75.6%	72.9%	78.4%	82%	77.7%	86.5%
59	74.4%	71.5%	77.3%	80.9%	76.3%	85.7%
60	73.1%	70%	76.1%	79.7%	74.8%	84.8%
61	71.6%	68.4%	74.9%	78.4%	73.2%	83.8%
62	70.1%	66.8%	73.6%	77.1%	71.6%	82.8%
63	68.5%	65%	72.1%	75.6%	69.8%	81.7%
64	66.9%	63.1%	70.6%	74%	67.9%	80.5%
65	65.1%	61.2%	69%	72.4%	65.8%	79.2%
66	63.2%	59.1%	67.3%	70.6%	63.7%	77.8%
67	61.2%	57%	65.5%	68.7%	61.5%	76.3%
68	59.1%	54.8%	63.5%	66.7%	59.1%	74.6%
69	56.9%	52.4%	61.5%	64.5%	56.6%	72.8%
70	54.5%	49.9%	59.3%	62.2%	54%	70.8%
71	52.1%	47.3%	56.9%	59.8%	51.3%	68.7%
72	49.5%	44.7%	54.4%	57.2%	48.5%	66.3%
73	46.8%	41.9%	51.8%	54.5%	45.7%	63.8%
74	44%	39.1%	49%	51.7%	42.7%	61.1%
75	41.2%	36.3%	46.2%	48.8%	39.7%	58.3%
76	38.2%	33.4%	43.2%	45.8%	36.7%	55.2%
77	35.3%	30.5%	40.1%	42.6%	33.6%	52%
78	32.3%	27.7%	37%	39.5%	30.6%	48.6%
79	29.3%	24.9%	33.8%	36.2%	27.6%	45.1%
80	26.4%	22.2%	30.7%	33%	24.7%	41.5%
81	23.5%	19.6%	27.5%	29.8%	21.8%	37.9%
82	20.7%	17.1%	24.5%	26.6%	19.1%	34.2%
83	18.1%	14.8%	21.5%	23.5%	16.5%	30.5%
84	15.5%	12.6%	18.6%	20.6%	14.1%	26.9%
85	13.2%	10.6%	15.9%	17.7%	11.8%	23.4%
86	11%	8.81%	13.3%	15%	9.79%	20.1%
87	9.11%	7.23%	11.1%	12.6%	7.98%	17%
88	7.39%	5.84%	9%	10.3%	6.38%	14.1%
89	5.9%	4.65%	7.2%	8.34%	5.02%	11.5%
90	4.63%	3.64%	5.65%	6.61%	3.87%	9.16%
91	3.55%	2.8%	4.34%	5.13%	2.92%	7.18%
92	2.68%	2.12%	3.27%	3.9%	2.15%	5.5%
93	1.98%	1.57%	2.4%	2.89%	1.55%	4.12%
94	1.43%	1.14%	1.72%	2.1%	1.09%	3.01%
95	1.01%	0.81%	1.2%	1.48%	0.75%	2.15%
96	0.69%	0.57%	0.82%	1.01%	0.5%	1.48%
97	0.46%	0.39%	0.54%	0.67%	0.32%	0.98%
98	0.3%	0.26%	0.35%	0.43%	0.2%	0.63%
99	0.19%	0.17%	0.22%	0.26%	0.12%	0.39%
100	0.12%	0.11%	0.13%	0.15%	0.07%	0.23%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 2.67% in the birth year in the Congo and 1.91% in the Philippines, 0.28% vs 0.17% at age 30, 1.95% vs 1.6% at 60, and 11% vs 9.74% at 80.

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

Table

Age	Probability of dying
	Congo			Philippines
	Average	Male	Female	Average	Male	Female
0	2.67%	2.99%	2.35%	1.91%	2.09%	1.71%
1	0.44%	0.44%	0.45%	0.26%	0.27%	0.26%
2	0.28%	0.28%	0.28%	0.18%	0.19%	0.17%
3	0.19%	0.2%	0.19%	0.12%	0.13%	0.12%
4	0.14%	0.15%	0.14%	0.09%	0.09%	0.08%
5	0.11%	0.11%	0.1%	0.06%	0.07%	0.06%
6	0.09%	0.1%	0.09%	0.05%	0.05%	0.05%
7	0.08%	0.09%	0.07%	0.04%	0.04%	0.04%
8	0.07%	0.08%	0.07%	0.04%	0.04%	0.04%
9	0.07%	0.07%	0.06%	0.04%	0.04%	0.03%
10	0.06%	0.07%	0.06%	0.04%	0.04%	0.03%
11	0.06%	0.07%	0.06%	0.04%	0.04%	0.03%
12	0.07%	0.07%	0.06%	0.04%	0.05%	0.04%
13	0.07%	0.08%	0.07%	0.05%	0.05%	0.04%
14	0.08%	0.09%	0.07%	0.05%	0.06%	0.04%
15	0.09%	0.1%	0.08%	0.06%	0.07%	0.05%
16	0.11%	0.12%	0.09%	0.07%	0.08%	0.05%
17	0.12%	0.14%	0.1%	0.08%	0.1%	0.06%
18	0.14%	0.16%	0.12%	0.09%	0.11%	0.06%
19	0.15%	0.18%	0.13%	0.09%	0.12%	0.06%
20	0.17%	0.19%	0.14%	0.1%	0.13%	0.07%
21	0.18%	0.21%	0.15%	0.11%	0.15%	0.07%
22	0.19%	0.22%	0.16%	0.12%	0.16%	0.08%
23	0.2%	0.23%	0.17%	0.12%	0.17%	0.08%
24	0.21%	0.24%	0.18%	0.13%	0.18%	0.08%
25	0.22%	0.25%	0.19%	0.14%	0.19%	0.09%
26	0.23%	0.26%	0.2%	0.15%	0.2%	0.09%
27	0.24%	0.27%	0.21%	0.15%	0.21%	0.09%
28	0.26%	0.28%	0.23%	0.16%	0.22%	0.1%
29	0.27%	0.3%	0.24%	0.17%	0.23%	0.1%
30	0.28%	0.31%	0.26%	0.17%	0.24%	0.11%
31	0.3%	0.33%	0.27%	0.18%	0.25%	0.12%
32	0.32%	0.35%	0.29%	0.2%	0.26%	0.13%
33	0.33%	0.37%	0.3%	0.21%	0.28%	0.14%
34	0.36%	0.39%	0.32%	0.22%	0.29%	0.15%
35	0.38%	0.42%	0.34%	0.24%	0.31%	0.16%
36	0.4%	0.44%	0.36%	0.26%	0.33%	0.17%
37	0.43%	0.47%	0.38%	0.27%	0.36%	0.19%
38	0.45%	0.5%	0.41%	0.29%	0.38%	0.2%
39	0.48%	0.53%	0.43%	0.31%	0.4%	0.22%
40	0.52%	0.57%	0.46%	0.33%	0.43%	0.23%
41	0.54%	0.6%	0.48%	0.35%	0.45%	0.25%
42	0.58%	0.65%	0.51%	0.38%	0.49%	0.27%
43	0.61%	0.69%	0.54%	0.41%	0.52%	0.29%
44	0.65%	0.73%	0.57%	0.44%	0.57%	0.32%
45	0.7%	0.79%	0.61%	0.49%	0.62%	0.35%
46	0.74%	0.84%	0.64%	0.53%	0.68%	0.38%
47	0.79%	0.9%	0.68%	0.58%	0.75%	0.41%
48	0.85%	0.97%	0.73%	0.63%	0.81%	0.45%
49	0.91%	1.04%	0.78%	0.68%	0.88%	0.49%
50	0.98%	1.12%	0.84%	0.74%	0.96%	0.53%
51	1.04%	1.19%	0.88%	0.8%	1.03%	0.57%
52	1.12%	1.29%	0.95%	0.86%	1.11%	0.61%
53	1.19%	1.37%	1.01%	0.93%	1.2%	0.66%
54	1.27%	1.47%	1.07%	1%	1.3%	0.71%
55	1.35%	1.57%	1.14%	1.08%	1.41%	0.76%
56	1.44%	1.68%	1.22%	1.17%	1.53%	0.82%
57	1.54%	1.79%	1.3%	1.26%	1.66%	0.89%
58	1.66%	1.93%	1.4%	1.36%	1.8%	0.96%
59	1.78%	2.08%	1.5%	1.48%	1.95%	1.03%
60	1.95%	2.28%	1.65%	1.6%	2.12%	1.12%
61	2.08%	2.43%	1.76%	1.74%	2.3%	1.22%
62	2.28%	2.65%	1.93%	1.89%	2.51%	1.33%
63	2.46%	2.86%	2.09%	2.05%	2.73%	1.45%
64	2.67%	3.09%	2.28%	2.24%	2.98%	1.59%
65	2.9%	3.34%	2.49%	2.46%	3.25%	1.77%
66	3.14%	3.62%	2.7%	2.69%	3.54%	1.97%
67	3.44%	3.95%	2.97%	2.95%	3.86%	2.2%
68	3.76%	4.32%	3.27%	3.24%	4.2%	2.45%
69	4.1%	4.7%	3.58%	3.56%	4.58%	2.73%
70	4.54%	5.18%	3.99%	3.9%	4.99%	3.05%
71	4.91%	5.6%	4.34%	4.28%	5.44%	3.4%
72	5.43%	6.16%	4.84%	4.7%	5.92%	3.78%
73	5.94%	6.7%	5.32%	5.16%	6.45%	4.22%
74	6.5%	7.28%	5.86%	5.66%	7.02%	4.69%
75	7.11%	7.91%	6.46%	6.21%	7.64%	5.23%
76	7.74%	8.57%	7.08%	6.82%	8.31%	5.82%
77	8.41%	9.26%	7.75%	7.47%	9.03%	6.47%
78	9.21%	10.1%	8.55%	8.17%	9.81%	7.18%
79	9.99%	10.9%	9.34%	8.92%	10.6%	7.95%
80	11%	11.8%	10.3%	9.74%	11.5%	8.79%
81	11.8%	12.6%	11.2%	10.6%	12.5%	9.71%
82	12.9%	13.7%	12.3%	11.6%	13.6%	10.7%
83	13.9%	14.7%	13.4%	12.7%	14.7%	11.8%
84	15.1%	15.8%	14.6%	13.8%	15.9%	13%
85	16.3%	16.9%	15.9%	15.1%	17.2%	14.3%
86	17.6%	18%	17.2%	16.4%	18.5%	15.6%
87	18.8%	19.2%	18.6%	17.8%	20%	17%
88	20.2%	20.4%	20%	19.3%	21.4%	18.5%
89	21.6%	21.6%	21.5%	20.8%	22.9%	20.1%
90	23.2%	23.1%	23.2%	22.4%	24.5%	21.7%
91	24.5%	24.3%	24.7%	24%	26.2%	23.3%
92	26.2%	25.8%	26.5%	25.7%	27.9%	25.1%
93	27.9%	27.3%	28.2%	27.5%	29.7%	26.9%
94	29.6%	28.8%	30.1%	29.4%	31.4%	28.8%
95	31.3%	30.3%	32%	31.7%	33.6%	31.1%
96	33%	31.7%	33.8%	34%	35.7%	33.5%
97	34.6%	33.1%	35.6%	36.4%	38%	36%
98	36.2%	34.3%	37.4%	39%	40.4%	38.6%
99	38%	36.1%	39.4%	41.7%	42.9%	41.4%
100	39.6%	37.4%	41.1%	44%	45.1%	43.8%

Death rate by age in the Congo compared to the Philippines

In the Congo, the most common age of death is 78, compared to 79 in the Philippines. The median age of death is 71.8 in the Congo and 74.6 in the Philippines — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Congo			Philippines
	Total	Male	Female	Total	Male	Female
0	2,669	2,985	2,347	1,906	2,089	1,709
1	433	425	441	259.8	267.9	251.1
2	269.7	269.8	269.5	176.2	182.7	169.2
3	186.3	189.4	183.1	121.2	126.4	115.6
4	135.6	139.5	131.7	85.7	89.8	81.3
5	104	107.7	100.1	63.2	66.5	59.7
6	87.5	91.9	82.9	49.3	52	46.4
7	76.9	81.7	72	41	43.4	38.6
8	68.7	73.3	64	36.6	38.7	34.4
9	63.5	67.8	59.1	34.9	37.1	32.7
10	61	65.2	56.6	35.2	37.7	32.7
11	60.8	65.6	55.9	37.2	40.3	34.1
12	63	68	58	40.7	44.8	36.4
13	68.1	73.3	62.8	45.4	51.2	39.3
14	76.3	82.8	69.7	51.2	59.5	42.7
15	88	96.3	79.6	58.1	69.4	46.3
16	101.9	113.8	89.7	65.8	80.8	50.2
17	117.2	133.7	100.4	74	93	54.3
18	133.5	155.1	111.4	82.5	105.7	58.5
19	146.1	170.3	121.4	90.9	118	62.8
20	158	184.2	131.3	99	129.8	67.1
21	168	196.6	138.8	106.6	141	71.1
22	178.5	207.8	148.7	113.6	151.6	74.7
23	188.3	217.3	158.7	120.3	161.9	77.9
24	197.6	225.7	169	126.7	171.8	80.8
25	206.9	234.1	179.3	133.1	181.4	83.7
26	216.8	242.3	190.8	139.3	190.6	86.8
27	227.6	252.1	202.6	145.6	199.2	90.6
28	238.5	262.8	213.9	152	207.5	95.1
29	250.5	274.3	226.3	158.9	215.7	100.7
30	264.4	288.9	239.4	166.6	224.3	107.5
31	275.1	301	249.1	175.5	234	115.3
32	292.4	319	265.8	185.8	245.5	124.1
33	308	336	280.5	197.6	259	133.8
34	326	355	296.8	210.8	274.7	144.2
35	347	377	316	225.3	292.1	155.3
36	367	399	334	240.7	311	166.9
37	387	422	352	256.6	330	179.1
38	411	448	373	272.8	349	191.9
39	434	474	393	289.6	369	205.5
40	461	506	416	308	390	220.2
41	482	529	434	327	414	236.5
42	513	565	459	350	441	254.7
43	539	596	481	377	474	275.3
44	569	631	505	408	513	298.4
45	605	673	534	444	557	324
46	638	712	561	482	606	352
47	676	757	593	524	659	382
48	721	807	631	567	713	414
49	765	859	669	612	768	447
50	820	921	716	657	824	482
51	857	966	747	704	881	517
52	915	1,030	797	753	941	554
53	962	1,084	836	805	1,005	592
54	1,014	1,144	881	860	1,074	633
55	1,067	1,204	927	919	1,148	676
56	1,123	1,266	980	981	1,227	722
57	1,182	1,332	1,032	1,047	1,310	772
58	1,255	1,411	1,098	1,118	1,397	827
59	1,327	1,491	1,163	1,194	1,489	886
60	1,426	1,596	1,254	1,275	1,585	952
61	1,493	1,666	1,319	1,362	1,687	1,023
62	1,598	1,773	1,420	1,455	1,793	1,101
63	1,689	1,862	1,510	1,554	1,905	1,185
64	1,784	1,953	1,609	1,657	2,020	1,277
65	1,886	2,046	1,717	1,778	2,137	1,402
66	1,986	2,143	1,819	1,902	2,254	1,536
67	2,103	2,254	1,942	2,030	2,370	1,679
68	2,223	2,365	2,075	2,161	2,483	1,831
69	2,334	2,463	2,201	2,294	2,592	1,991
70	2,476	2,586	2,367	2,428	2,695	2,158
71	2,558	2,649	2,472	2,562	2,789	2,332
72	2,690	2,752	2,634	2,691	2,872	2,510
73	2,778	2,808	2,754	2,815	2,942	2,690
74	2,861	2,849	2,875	2,929	2,997	2,869
75	2,926	2,871	2,980	3,031	3,032	3,044
76	2,960	2,862	3,058	3,120	3,047	3,211
77	2,969	2,829	3,109	3,186	3,038	3,364
78	2,977	2,793	3,163	3,223	3,002	3,492
79	2,932	2,706	3,161	3,233	2,938	3,590
80	2,898	2,633	3,165	3,214	2,847	3,654
81	2,773	2,477	3,069	3,166	2,730	3,681
82	2,671	2,343	3,001	3,088	2,588	3,666
83	2,519	2,170	2,871	2,982	2,423	3,608
84	2,351	1,991	2,715	2,844	2,238	3,502
85	2,150	1,791	2,515	2,672	2,034	3,345
86	1,939	1,590	2,297	2,470	1,816	3,140
87	1,715	1,387	2,053	2,240	1,592	2,890
88	1,492	1,193	1,802	1,991	1,368	2,605
89	1,273	1,006	1,549	1,733	1,151	2,298
90	1,072	841	1,311	1,477	948	1,984
91	872	679	1,070	1,232	764	1,674
92	704	547	865	1,003	601	1,379
93	552	429	678	797	461	1,109
94	422	329	518	616	344	868
95	315	246.7	385	469	251.6	669
96	227.9	180.2	277	344	177.8	495
97	160.2	128.3	193.1	243.2	121.5	354
98	109.4	89.1	130.4	165.6	80	242.9
99	73.5	61.5	86.1	108.1	50.6	159.9
100	0	2.72	0	0	0	3.13

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 the Congo and the Philippines 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
• Congo vs Philippines: Facts and Figures

By topic vs comparisons:

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