Life Expectancy in Congo vs India (1950-2026)

Life expectancy by current age

Chart Table

Congo

Male

Female

India

Male

Female

1x

Current age, years	Total life expectancy, years
	Congo			India
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	102.5	102.4	102.5
99	101	101	101	101.6	101.6	101.6
98	100.1	100.2	100.1	100.7	100.7	100.8
97	99.2	99.3	99.1	99.9	99.9	99.9
96	98.3	98.4	98.2	99	99	99.1
95	97.4	97.5	97.4	98.2	98.2	98.2
94	96.6	96.7	96.5	97.4	97.4	97.4
93	95.7	95.8	95.7	96.6	96.6	96.6
92	94.9	94.9	94.8	95.8	95.8	95.9
91	94	94.1	94	95.1	95	95.1
90	93.2	93.3	93.2	94.3	94.2	94.4
89	92.4	92.5	92.4	93.6	93.5	93.6
88	91.6	91.6	91.6	92.8	92.7	92.9
87	90.9	90.9	90.9	92.1	92	92.2
86	90.1	90.1	90.1	91.5	91.3	91.6
85	89.3	89.3	89.4	90.8	90.6	90.9
84	88.6	88.5	88.7	90.1	89.9	90.3
83	87.9	87.8	88	89.5	89.3	89.7
82	87.2	87.1	87.3	88.9	88.6	89.1
81	86.5	86.4	86.7	88.3	88	88.5
80	85.9	85.7	86	87.7	87.4	87.9
79	85.2	85	85.4	87.1	86.8	87.4
78	84.6	84.3	84.8	86.6	86.2	86.9
77	84	83.7	84.3	86	85.7	86.3
76	83.4	83.1	83.7	85.5	85.1	85.9
75	82.9	82.5	83.2	85	84.6	85.4
74	82.3	81.9	82.7	84.5	84.1	85
73	81.8	81.3	82.2	84.1	83.6	84.5
72	81.3	80.8	81.7	83.6	83.1	84.1
71	80.8	80.3	81.3	83.2	82.6	83.7
70	80.3	79.8	80.8	82.8	82.2	83.3
69	79.9	79.3	80.4	82.4	81.7	83
68	79.5	78.8	80	82	81.3	82.6
67	79.1	78.4	79.7	81.6	80.9	82.3
66	78.7	77.9	79.3	81.3	80.5	82
65	78.3	77.5	79	80.9	80.2	81.7
64	77.9	77.1	78.6	80.6	79.8	81.4
63	77.6	76.7	78.3	80.3	79.5	81.1
62	77.2	76.4	78	80	79.2	80.9
61	76.9	76	77.7	79.8	78.9	80.6
60	76.6	75.6	77.4	79.5	78.6	80.4
59	76.3	75.3	77.2	79.2	78.3	80.2
58	76	75	76.9	79	78	80
57	75.7	74.7	76.7	78.7	77.8	79.7
56	75.4	74.4	76.4	78.5	77.5	79.6
55	75.1	74.1	76.2	78.3	77.3	79.4
54	74.9	73.8	75.9	78.1	77.1	79.2
53	74.6	73.5	75.7	77.9	76.8	79
52	74.4	73.2	75.5	77.8	76.7	78.9
51	74.1	73	75.3	77.6	76.5	78.8
50	73.9	72.7	75.1	77.5	76.3	78.6
49	73.7	72.5	74.9	77.3	76.2	78.5
48	73.5	72.2	74.7	77.2	76	78.4
47	73.3	72	74.5	77.1	75.8	78.3
46	73.1	71.8	74.3	76.9	75.7	78.2
45	72.9	71.6	74.1	76.8	75.6	78.2
44	72.7	71.4	74	76.7	75.4	78.1
43	72.5	71.2	73.8	76.6	75.3	78
42	72.3	71	73.7	76.5	75.2	77.9
41	72.2	70.9	73.5	76.4	75.1	77.9
40	72	70.7	73.3	76.3	75	77.8
39	71.9	70.5	73.2	76.3	74.9	77.7
38	71.7	70.4	73.1	76.2	74.8	77.7
37	71.6	70.2	72.9	76.1	74.7	77.6
36	71.4	70.1	72.8	76	74.6	77.6
35	71.3	69.9	72.7	75.9	74.5	77.5
34	71.2	69.8	72.5	75.9	74.4	77.5
33	71	69.6	72.4	75.8	74.3	77.4
32	70.9	69.5	72.3	75.7	74.2	77.4
31	70.8	69.4	72.2	75.7	74.2	77.3
30	70.7	69.3	72.1	75.6	74.1	77.3
29	70.6	69.1	72	75.6	74	77.2
28	70.5	69	71.9	75.5	74	77.2
27	70.3	68.9	71.8	75.5	73.9	77.1
26	70.2	68.8	71.7	75.4	73.9	77.1
25	70.1	68.7	71.6	75.4	73.8	77
24	70.1	68.6	71.5	75.3	73.7	77
23	70	68.5	71.5	75.3	73.7	76.9
22	69.9	68.4	71.4	75.2	73.6	76.9
21	69.8	68.3	71.3	75.2	73.6	76.9
20	69.7	68.2	71.2	75.1	73.5	76.8
19	69.6	68.1	71.2	75.1	73.5	76.8
18	69.6	68	71.1	75	73.4	76.7
17	69.5	68	71.1	75	73.4	76.7
16	69.4	67.9	71	75	73.4	76.7
15	69.4	67.8	71	74.9	73.3	76.6
14	69.3	67.8	70.9	74.9	73.3	76.6
13	69.3	67.8	70.9	74.9	73.3	76.6
12	69.3	67.7	70.8	74.9	73.3	76.6
11	69.2	67.7	70.8	74.8	73.2	76.5
10	69.2	67.6	70.8	74.8	73.2	76.5
9	69.2	67.6	70.7	74.8	73.2	76.5
8	69.1	67.5	70.7	74.8	73.2	76.5
7	69.1	67.5	70.6	74.7	73.1	76.4
6	69	67.4	70.6	74.7	73.1	76.4
5	68.9	67.4	70.5	74.6	73.1	76.4
4	68.8	67.3	70.4	74.6	73	76.3
3	68.7	67.2	70.3	74.5	73	76.3
2	68.5	67	70.1	74.5	72.9	76.2
1	68.2	66.7	69.8	74.3	72.7	75.9
0	66.4	64.7	68.2	72.7	71.2	74.4

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 the Congo can expect to live to 70.7 years compared to 75.6 in India, rising to 78.3 and 80.9 at 65, and to 85.9 and 87.7 at 80 — higher than the 66.4 and 72.7 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in the Congo and India.

Probability of surviving to a given age

Chart Table

Congo

Male

Female

India

Male

Female

1x

Age	Survival probability
	Congo			India
	Average	Male	Female	Average	Male	Female
100	0.12%	0.11%	0.13%	0.93%	0.75%	1.11%
99	0.19%	0.17%	0.22%	1.32%	1.06%	1.59%
98	0.3%	0.26%	0.35%	1.83%	1.47%	2.21%
97	0.46%	0.39%	0.54%	2.49%	2%	3%
96	0.69%	0.57%	0.82%	3.31%	2.67%	3.99%
95	1.01%	0.81%	1.2%	4.32%	3.48%	5.18%
94	1.43%	1.14%	1.72%	5.52%	4.47%	6.61%
93	1.98%	1.57%	2.4%	6.93%	5.64%	8.28%
92	2.68%	2.12%	3.27%	8.56%	7.01%	10.2%
91	3.55%	2.8%	4.34%	10.4%	8.58%	12.3%
90	4.63%	3.64%	5.65%	12.5%	10.4%	14.7%
89	5.9%	4.65%	7.2%	14.7%	12.3%	17.3%
88	7.39%	5.84%	9%	17.2%	14.5%	20.1%
87	9.11%	7.23%	11.1%	19.8%	16.8%	23%
86	11%	8.81%	13.3%	22.5%	19.2%	26%
85	13.2%	10.6%	15.9%	25.4%	21.8%	29.2%
84	15.5%	12.6%	18.6%	28.3%	24.5%	32.4%
83	18.1%	14.8%	21.5%	31.3%	27.3%	35.6%
82	20.7%	17.1%	24.5%	34.4%	30.2%	38.9%
81	23.5%	19.6%	27.5%	37.5%	33.1%	42.1%
80	26.4%	22.2%	30.7%	40.5%	36.1%	45.3%
79	29.3%	24.9%	33.8%	43.6%	39.1%	48.4%
78	32.3%	27.7%	37%	46.5%	42%	51.5%
77	35.3%	30.5%	40.1%	49.4%	44.9%	54.4%
76	38.2%	33.4%	43.2%	52.3%	47.7%	57.2%
75	41.2%	36.3%	46.2%	55%	50.4%	59.9%
74	44%	39.1%	49%	57.6%	53.1%	62.5%
73	46.8%	41.9%	51.8%	60.2%	55.8%	64.9%
72	49.5%	44.7%	54.4%	62.6%	58.3%	67.2%
71	52.1%	47.3%	56.9%	64.9%	60.8%	69.4%
70	54.5%	49.9%	59.3%	67.2%	63.2%	71.5%
69	56.9%	52.4%	61.5%	69.3%	65.4%	73.4%
68	59.1%	54.8%	63.5%	71.2%	67.5%	75.2%
67	61.2%	57%	65.5%	73.1%	69.5%	76.9%
66	63.2%	59.1%	67.3%	74.8%	71.4%	78.5%
65	65.1%	61.2%	69%	76.4%	73.1%	80%
64	66.9%	63.1%	70.6%	77.9%	74.7%	81.3%
63	68.5%	65%	72.1%	79.3%	76.3%	82.5%
62	70.1%	66.8%	73.6%	80.6%	77.7%	83.7%
61	71.6%	68.4%	74.9%	81.8%	79.1%	84.7%
60	73.1%	70%	76.1%	83%	80.4%	85.7%
59	74.4%	71.5%	77.3%	84%	81.6%	86.6%
58	75.6%	72.9%	78.4%	85%	82.8%	87.5%
57	76.8%	74.3%	79.4%	86%	83.9%	88.3%
56	77.9%	75.5%	80.4%	86.9%	84.9%	89%
55	79%	76.7%	81.3%	87.7%	85.8%	89.7%
54	80%	77.9%	82.2%	88.4%	86.7%	90.4%
53	81%	79%	83%	89.1%	87.4%	90.9%
52	81.9%	80%	83.8%	89.7%	88.1%	91.4%
51	82.8%	81%	84.6%	90.2%	88.7%	91.8%
50	83.6%	81.9%	85.3%	90.7%	89.3%	92.2%
49	84.3%	82.8%	86%	91.1%	89.8%	92.6%
48	85.1%	83.6%	86.6%	91.6%	90.3%	92.9%
47	85.7%	84.3%	87.2%	92%	90.8%	93.2%
46	86.4%	85%	87.8%	92.3%	91.3%	93.5%
45	87%	85.7%	88.3%	92.7%	91.7%	93.7%
44	87.6%	86.3%	88.8%	93%	92.1%	93.9%
43	88.1%	86.9%	89.3%	93.3%	92.5%	94.1%
42	88.6%	87.5%	89.7%	93.5%	92.8%	94.3%
41	89.1%	88%	90.2%	93.8%	93.1%	94.5%
40	89.5%	88.5%	90.6%	94%	93.4%	94.7%
39	90%	89%	91%	94.2%	93.7%	94.8%
38	90.4%	89.5%	91.4%	94.4%	93.9%	95%
37	90.8%	89.9%	91.7%	94.6%	94.2%	95.1%
36	91.1%	90.3%	92%	94.8%	94.4%	95.2%
35	91.5%	90.6%	92.4%	95%	94.6%	95.4%
34	91.8%	91%	92.6%	95.1%	94.8%	95.5%
33	92.1%	91.3%	92.9%	95.3%	95%	95.6%
32	92.4%	91.7%	93.2%	95.4%	95.2%	95.7%
31	92.7%	92%	93.4%	95.6%	95.3%	95.8%
30	93%	92.2%	93.7%	95.7%	95.5%	95.9%
29	93.2%	92.5%	93.9%	95.8%	95.6%	96%
28	93.4%	92.8%	94.1%	95.9%	95.8%	96.1%
27	93.7%	93%	94.3%	96%	95.9%	96.1%
26	93.9%	93.3%	94.5%	96.1%	96%	96.2%
25	94.1%	93.5%	94.7%	96.2%	96.1%	96.3%
24	94.3%	93.7%	94.9%	96.3%	96.2%	96.4%
23	94.5%	94%	95%	96.4%	96.3%	96.5%
22	94.7%	94.2%	95.2%	96.5%	96.4%	96.6%
21	94.8%	94.4%	95.3%	96.6%	96.5%	96.6%
20	95%	94.5%	95.4%	96.7%	96.6%	96.7%
19	95.1%	94.7%	95.6%	96.7%	96.7%	96.8%
18	95.3%	94.9%	95.7%	96.8%	96.8%	96.8%
17	95.4%	95%	95.8%	96.9%	96.8%	96.9%
16	95.5%	95.1%	95.9%	96.9%	96.9%	96.9%
15	95.6%	95.2%	95.9%	97%	97%	97%
14	95.7%	95.3%	96%	97%	97%	97%
13	95.7%	95.4%	96.1%	97.1%	97%	97.1%
12	95.8%	95.4%	96.1%	97.1%	97.1%	97.1%
11	95.8%	95.5%	96.2%	97.1%	97.1%	97.1%
10	95.9%	95.6%	96.2%	97.2%	97.1%	97.2%
9	96%	95.6%	96.3%	97.2%	97.2%	97.2%
8	96%	95.7%	96.4%	97.2%	97.2%	97.2%
7	96.1%	95.8%	96.4%	97.3%	97.3%	97.3%
6	96.2%	95.9%	96.5%	97.3%	97.3%	97.3%
5	96.3%	96%	96.6%	97.4%	97.4%	97.4%
4	96.4%	96.1%	96.8%	97.5%	97.5%	97.5%
3	96.6%	96.3%	96.9%	97.5%	97.5%	97.5%
2	96.9%	96.6%	97.2%	97.6%	97.6%	97.7%
1	97.3%	97%	97.7%	97.9%	97.9%	98%

This chart shows the odds of living to each age from birth. 73.1% of newborns in the Congo and 83% in India are expected to live past 60, 54.5% and 67.2% past 70, 26.4% and 40.5% past 80, and only 4.63% and 12.5% past 90.

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

Odds of dying at each age

Chart Table

Congo

Male

Female

India

Male

Female

1x

Age	Probability of dying
	Congo			India
	Average	Male	Female	Average	Male	Female
100	39.6%	37.4%	41.1%	31.3%	31%	31.5%
99	38%	36.1%	39.4%	29.7%	29.5%	29.8%
98	36.2%	34.3%	37.4%	28%	28%	28.1%
97	34.6%	33.1%	35.6%	26.4%	26.4%	26.4%
96	33%	31.7%	33.8%	24.8%	24.9%	24.7%
95	31.3%	30.3%	32%	23.2%	23.4%	23.1%
94	29.6%	28.8%	30.1%	21.8%	22.1%	21.6%
93	27.9%	27.3%	28.2%	20.4%	20.8%	20.1%
92	26.2%	25.8%	26.5%	19.1%	19.5%	18.8%
91	24.5%	24.3%	24.7%	17.8%	18.3%	17.5%
90	23.2%	23.1%	23.2%	16.5%	17.1%	16.2%
89	21.6%	21.6%	21.5%	15.3%	15.9%	14.9%
88	20.2%	20.4%	20%	14.2%	14.8%	13.8%
87	18.8%	19.2%	18.6%	13.1%	13.7%	12.7%
86	17.6%	18%	17.2%	12.1%	12.8%	11.7%
85	16.3%	16.9%	15.9%	11.2%	11.9%	10.7%
84	15.1%	15.8%	14.6%	10.4%	11%	9.9%
83	13.9%	14.7%	13.4%	9.64%	10.3%	9.12%
82	12.9%	13.7%	12.3%	8.92%	9.57%	8.39%
81	11.8%	12.6%	11.2%	8.24%	8.88%	7.71%
80	11%	11.8%	10.3%	7.58%	8.22%	7.06%
79	9.99%	10.9%	9.34%	6.97%	7.57%	6.45%
78	9.21%	10.1%	8.55%	6.39%	6.97%	5.89%
77	8.41%	9.26%	7.75%	5.86%	6.42%	5.38%
76	7.74%	8.57%	7.08%	5.39%	5.92%	4.91%
75	7.11%	7.91%	6.46%	4.95%	5.47%	4.48%
74	6.5%	7.28%	5.86%	4.57%	5.08%	4.11%
73	5.94%	6.7%	5.32%	4.23%	4.73%	3.76%
72	5.43%	6.16%	4.84%	3.9%	4.39%	3.45%
71	4.91%	5.6%	4.34%	3.6%	4.06%	3.16%
70	4.54%	5.18%	3.99%	3.31%	3.74%	2.89%
69	4.1%	4.7%	3.58%	3.03%	3.43%	2.65%
68	3.76%	4.32%	3.27%	2.77%	3.13%	2.42%
67	3.44%	3.95%	2.97%	2.52%	2.85%	2.2%
66	3.14%	3.62%	2.7%	2.3%	2.6%	2%
65	2.9%	3.34%	2.49%	2.1%	2.38%	1.82%
64	2.67%	3.09%	2.28%	1.92%	2.19%	1.65%
63	2.46%	2.86%	2.09%	1.76%	2.02%	1.5%
62	2.28%	2.65%	1.93%	1.61%	1.87%	1.36%
61	2.08%	2.43%	1.76%	1.49%	1.73%	1.24%
60	1.95%	2.28%	1.65%	1.38%	1.61%	1.14%
59	1.78%	2.08%	1.5%	1.28%	1.5%	1.06%
58	1.66%	1.93%	1.4%	1.19%	1.4%	0.99%
57	1.54%	1.79%	1.3%	1.11%	1.29%	0.92%
56	1.44%	1.68%	1.22%	1.02%	1.19%	0.84%
55	1.35%	1.57%	1.14%	0.93%	1.08%	0.77%
54	1.27%	1.47%	1.07%	0.83%	0.97%	0.69%
53	1.19%	1.37%	1.01%	0.74%	0.87%	0.61%
52	1.12%	1.29%	0.95%	0.66%	0.78%	0.54%
51	1.04%	1.19%	0.88%	0.59%	0.7%	0.47%
50	0.98%	1.12%	0.84%	0.53%	0.64%	0.42%
49	0.91%	1.04%	0.78%	0.49%	0.6%	0.38%
48	0.85%	0.97%	0.73%	0.45%	0.56%	0.34%
47	0.79%	0.9%	0.68%	0.42%	0.53%	0.31%
46	0.74%	0.84%	0.64%	0.4%	0.5%	0.29%
45	0.7%	0.79%	0.61%	0.37%	0.47%	0.26%
44	0.65%	0.73%	0.57%	0.34%	0.43%	0.24%
43	0.61%	0.69%	0.54%	0.31%	0.4%	0.22%
42	0.58%	0.65%	0.51%	0.29%	0.36%	0.21%
41	0.54%	0.6%	0.48%	0.26%	0.33%	0.19%
40	0.52%	0.57%	0.46%	0.24%	0.31%	0.18%
39	0.48%	0.53%	0.43%	0.23%	0.29%	0.16%
38	0.45%	0.5%	0.41%	0.22%	0.27%	0.15%
37	0.43%	0.47%	0.38%	0.2%	0.26%	0.14%
36	0.4%	0.44%	0.36%	0.19%	0.25%	0.13%
35	0.38%	0.42%	0.34%	0.18%	0.23%	0.12%
34	0.36%	0.39%	0.32%	0.17%	0.21%	0.12%
33	0.33%	0.37%	0.3%	0.15%	0.19%	0.11%
32	0.32%	0.35%	0.29%	0.14%	0.18%	0.11%
31	0.3%	0.33%	0.27%	0.13%	0.16%	0.1%
30	0.28%	0.31%	0.26%	0.13%	0.15%	0.1%
29	0.27%	0.3%	0.24%	0.12%	0.14%	0.1%
28	0.26%	0.28%	0.23%	0.12%	0.14%	0.09%
27	0.24%	0.27%	0.21%	0.11%	0.13%	0.09%
26	0.23%	0.26%	0.2%	0.11%	0.13%	0.09%
25	0.22%	0.25%	0.19%	0.11%	0.12%	0.09%
24	0.21%	0.24%	0.18%	0.1%	0.12%	0.09%
23	0.2%	0.23%	0.17%	0.1%	0.11%	0.08%
22	0.19%	0.22%	0.16%	0.09%	0.1%	0.08%
21	0.18%	0.21%	0.15%	0.08%	0.09%	0.07%
20	0.17%	0.19%	0.14%	0.08%	0.09%	0.07%
19	0.15%	0.18%	0.13%	0.07%	0.08%	0.07%
18	0.14%	0.16%	0.12%	0.07%	0.07%	0.06%
17	0.12%	0.14%	0.1%	0.07%	0.07%	0.06%
16	0.11%	0.12%	0.09%	0.06%	0.06%	0.06%
15	0.09%	0.1%	0.08%	0.06%	0.06%	0.05%
14	0.08%	0.09%	0.07%	0.05%	0.05%	0.05%
13	0.07%	0.08%	0.07%	0.04%	0.04%	0.04%
12	0.07%	0.07%	0.06%	0.04%	0.04%	0.03%
11	0.06%	0.07%	0.06%	0.03%	0.03%	0.03%
10	0.06%	0.07%	0.06%	0.03%	0.03%	0.03%
9	0.07%	0.07%	0.06%	0.03%	0.03%	0.03%
8	0.07%	0.08%	0.07%	0.04%	0.04%	0.04%
7	0.08%	0.09%	0.07%	0.05%	0.05%	0.04%
6	0.09%	0.1%	0.09%	0.06%	0.06%	0.06%
5	0.11%	0.11%	0.1%	0.07%	0.07%	0.07%
4	0.14%	0.15%	0.14%	0.07%	0.07%	0.07%
3	0.19%	0.2%	0.19%	0.08%	0.07%	0.08%
2	0.28%	0.28%	0.28%	0.1%	0.09%	0.11%
1	0.44%	0.44%	0.45%	0.28%	0.25%	0.3%
0	2.67%	2.99%	2.35%	2.09%	2.13%	2.05%

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

The annual chance of dying is 2.67% in the birth year in the Congo and 2.09% in India, 0.28% vs 0.13% at age 30, 1.95% vs 1.38% at 60, and 11% vs 7.58% at 80.

Death rate by age in Congo vs India

Chart Table

Congo

Male

Female

India

Male

Female

1x

Age	Death rate
	Congo			India
	Total	Male	Female	Total	Male	Female
100	0	2.72	0	218.3	169	269.5
99	73.5	61.5	86.1	392	313	474
98	109.4	89.1	130.4	514	412	620
97	160.2	128.3	193.1	658	529	792
96	227.9	180.2	277	822	665	986
95	315	246.7	385	1,003	817	1,198
94	422	329	518	1,201	986	1,427
93	552	429	678	1,413	1,171	1,668
92	704	547	865	1,634	1,369	1,914
91	872	679	1,070	1,855	1,573	2,156
90	1,072	841	1,311	2,066	1,771	2,381
89	1,273	1,006	1,549	2,261	1,961	2,585
88	1,492	1,193	1,802	2,438	2,138	2,763
87	1,715	1,387	2,053	2,594	2,300	2,913
86	1,939	1,590	2,297	2,729	2,449	3,035
85	2,150	1,791	2,515	2,845	2,584	3,132
84	2,351	1,991	2,715	2,942	2,705	3,202
83	2,519	2,170	2,871	3,017	2,809	3,246
82	2,671	2,343	3,001	3,066	2,890	3,261
81	2,773	2,477	3,069	3,085	2,943	3,245
80	2,898	2,633	3,165	3,074	2,966	3,199
79	2,932	2,706	3,161	3,035	2,958	3,127
78	2,977	2,793	3,163	2,975	2,927	3,033
77	2,969	2,829	3,109	2,900	2,879	2,925
76	2,960	2,862	3,058	2,814	2,822	2,807
75	2,926	2,871	2,980	2,724	2,761	2,686
74	2,861	2,849	2,875	2,635	2,701	2,565
73	2,778	2,808	2,754	2,542	2,636	2,442
72	2,690	2,752	2,634	2,444	2,560	2,319
71	2,558	2,649	2,472	2,337	2,470	2,194
70	2,476	2,586	2,367	2,221	2,364	2,069
69	2,334	2,463	2,201	2,099	2,242	1,944
68	2,223	2,365	2,075	1,972	2,113	1,819
67	2,103	2,254	1,942	1,845	1,983	1,696
66	1,986	2,143	1,819	1,721	1,857	1,574
65	1,886	2,046	1,717	1,603	1,741	1,455
64	1,784	1,953	1,609	1,494	1,635	1,341
63	1,689	1,862	1,510	1,393	1,540	1,234
62	1,598	1,773	1,420	1,301	1,452	1,137
61	1,493	1,666	1,319	1,217	1,371	1,052
60	1,426	1,596	1,254	1,144	1,297	980
59	1,327	1,491	1,163	1,078	1,226	918
58	1,255	1,411	1,098	1,015	1,157	863
57	1,182	1,332	1,032	952	1,085	808
56	1,123	1,266	980	885	1,010	751
55	1,067	1,204	927	813	928	688
54	1,014	1,144	881	737	844	621
53	962	1,084	836	662	762	554
52	915	1,030	797	593	688	491
51	857	966	747	533	624	435
50	820	921	716	484	573	388
49	765	859	669	446	535	350
48	721	807	631	415	505	318
47	676	757	593	389	480	290.9
46	638	712	561	366	455	267.7
45	605	673	534	342	429	246.9
44	569	631	505	317	399	227.8
43	539	596	481	292.6	368	210.4
42	513	565	459	269.3	338	194.4
41	482	529	434	248.3	311	180
40	461	506	416	230.3	288.3	167.1
39	434	474	393	215.5	270.6	155.3
38	411	448	373	203.1	256.6	144.7
37	387	422	352	192	244.1	135.2
36	367	399	334	181.4	231.7	126.7
35	347	377	316	170.6	217.9	119.1
34	326	355	296.8	159	201.8	112.2
33	308	336	280.5	147.3	184.8	106.2
32	292.4	319	265.8	136.5	168.6	101.1
31	275.1	301	249.1	127.2	154.5	97
30	264.4	288.9	239.4	120	143.4	94
29	250.5	274.3	226.3	115	135.7	92
28	238.5	262.8	213.9	111.8	130.7	90.9
27	227.6	252.1	202.6	109.6	127.3	90
26	216.8	242.3	190.8	107.3	124	88.9
25	206.9	234.1	179.3	104.3	119.9	87
24	197.6	225.7	169	99.8	114.1	84
23	188.3	217.3	158.7	94	106.8	80
22	178.5	207.8	148.7	87.7	98.7	75.6
21	168	196.6	138.8	81.6	90.8	71.4
20	158	184.2	131.3	76.1	83.7	67.7
19	146.1	170.3	121.4	71.6	77.6	64.9
18	133.5	155.1	111.4	67.8	72.3	62.8
17	117.2	133.7	100.4	64.1	67.3	60.6
16	101.9	113.8	89.7	59.8	61.8	57.5
15	88	96.3	79.6	54.3	55.5	52.9
14	76.3	82.8	69.7	47.7	48.4	46.8
13	68.1	73.3	62.8	40.5	41.1	39.9
12	63	68	58	34.4	35	33.7
11	60.8	65.6	55.9	30.4	31.2	29.6
10	61	65.2	56.6	28.4	29.4	27.4
9	63.5	67.8	59.1	30	31.4	28.5
8	68.7	73.3	64	36.6	38.8	34.2
7	76.9	81.7	72	46.5	49.5	43.2
6	87.5	91.9	82.9	57.2	60.5	53.6
5	104	107.7	100.1	66.6	69	63.9
4	135.6	139.5	131.7	72.2	72.2	72.3
3	186.3	189.4	183.1	73.9	69.6	78.6
2	269.7	269.8	269.5	100.6	90.7	111.1
1	433	425	441	269.3	247.9	292.1
0	2,669	2,985	2,347	2,091	2,131	2,048

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 the Congo, the most common age of death is 78, compared to 81 in India. The median age of death is 71.8 in the Congo and 76.8 in India, 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 the Congo and India more than their death rates.

Life expectancy in other countries

+ -

1x