Life Expectancy in DR Congo vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

DR Congo

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	DR Congo			Tanzania
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.8	102.5	101.9	102.6
99	100.8	100.7	100.9	101.7	101	101.7
98	99.9	99.8	100	100.8	100.1	100.9
97	99	98.8	99.1	100	99.2	100.1
96	98.1	97.9	98.2	99.1	98.4	99.3
95	97.3	97	97.3	98.3	97.5	98.4
94	96.4	96.2	96.5	97.4	96.6	97.7
93	95.5	95.3	95.7	96.6	95.8	96.9
92	94.7	94.4	94.8	95.8	94.9	96.1
91	93.9	93.6	94	95.1	94.1	95.4
90	93.1	92.8	93.3	94.3	93.3	94.6
89	92.3	92	92.5	93.5	92.5	93.9
88	91.5	91.2	91.7	92.7	91.7	93.2
87	90.8	90.4	91	92	90.9	92.5
86	90	89.7	90.2	91.3	90.1	91.9
85	89.3	89	89.5	90.6	89.4	91.2
84	88.6	88.3	88.8	89.9	88.7	90.6
83	87.9	87.6	88.1	89.2	88	90
82	87.2	86.9	87.4	88.6	87.3	89.4
81	86.5	86.2	86.8	87.9	86.6	88.9
80	85.9	85.6	86.1	87.3	86	88.3
79	85.3	84.9	85.5	86.8	85.3	87.8
78	84.7	84.3	85	86.2	84.7	87.3
77	84.1	83.7	84.4	85.6	84.1	86.8
76	83.6	83.2	83.9	85.1	83.5	86.3
75	83	82.6	83.4	84.5	83	85.8
74	82.5	82.1	82.9	84	82.4	85.3
73	82	81.6	82.4	83.5	81.9	84.8
72	81.5	81.1	81.9	83	81.4	84.3
71	81.1	80.6	81.5	82.5	80.9	83.9
70	80.6	80.1	81	82.1	80.4	83.4
69	80.2	79.7	80.6	81.6	79.9	83
68	79.8	79.2	80.3	81.2	79.4	82.6
67	79.4	78.8	79.9	80.7	79	82.2
66	79	78.4	79.5	80.3	78.5	81.8
65	78.6	78	79.2	79.9	78.1	81.4
64	78.3	77.6	78.9	79.5	77.6	81
63	78	77.3	78.6	79.1	77.2	80.7
62	77.6	76.9	78.3	78.7	76.8	80.3
61	77.3	76.6	78	78.4	76.4	80
60	77.1	76.3	77.8	78	76.1	79.7
59	76.8	76	77.5	77.7	75.7	79.4
58	76.5	75.7	77.3	77.4	75.4	79.1
57	76.3	75.4	77.1	77.1	75	78.9
56	76	75.1	76.8	76.8	74.7	78.6
55	75.8	74.9	76.6	76.5	74.4	78.3
54	75.5	74.6	76.4	76.2	74.1	78.1
53	75.3	74.3	76.2	75.9	73.8	77.9
52	75	74.1	76	75.7	73.5	77.6
51	74.8	73.8	75.8	75.4	73.3	77.4
50	74.6	73.6	75.6	75.2	73	77.2
49	74.4	73.3	75.4	75	72.7	77
48	74.2	73.1	75.2	74.7	72.5	76.8
47	74	72.9	75.1	74.5	72.3	76.6
46	73.8	72.7	74.9	74.3	72	76.5
45	73.6	72.5	74.7	74.1	71.8	76.3
44	73.4	72.3	74.5	73.9	71.6	76.1
43	73.2	72.1	74.4	73.8	71.4	76
42	73.1	71.9	74.2	73.6	71.2	75.8
41	72.9	71.7	74	73.4	71	75.6
40	72.7	71.5	73.9	73.2	70.8	75.5
39	72.5	71.3	73.7	73.1	70.7	75.4
38	72.3	71.1	73.5	72.9	70.5	75.2
37	72.2	70.9	73.4	72.8	70.3	75.1
36	72	70.7	73.2	72.6	70.2	75
35	71.8	70.5	73.1	72.5	70	74.8
34	71.7	70.3	72.9	72.4	69.9	74.7
33	71.5	70.2	72.8	72.2	69.7	74.6
32	71.3	70	72.6	72.1	69.6	74.5
31	71.1	69.8	72.5	72	69.5	74.4
30	71	69.6	72.3	71.9	69.3	74.3
29	70.8	69.4	72.2	71.8	69.2	74.2
28	70.6	69.2	72	71.7	69.1	74.1
27	70.5	69	71.9	71.6	69	74
26	70.3	68.8	71.8	71.4	68.9	73.9
25	70.1	68.6	71.6	71.4	68.7	73.9
24	69.9	68.4	71.5	71.3	68.6	73.8
23	69.8	68.2	71.3	71.2	68.5	73.7
22	69.6	68	71.2	71.1	68.4	73.6
21	69.4	67.8	71.1	71	68.3	73.6
20	69.3	67.6	70.9	70.9	68.2	73.5
19	69.1	67.4	70.8	70.8	68.1	73.4
18	69	67.2	70.7	70.8	68.1	73.4
17	68.8	67.1	70.6	70.7	68	73.3
16	68.7	67	70.4	70.6	67.9	73.3
15	68.6	66.8	70.3	70.6	67.9	73.2
14	68.5	66.7	70.2	70.5	67.8	73.2
13	68.4	66.6	70.1	70.5	67.8	73.2
12	68.3	66.5	70	70.5	67.7	73.1
11	68.2	66.4	69.9	70.4	67.7	73.1
10	68	66.3	69.8	70.4	67.7	73.1
9	67.9	66.1	69.7	70.4	67.6	73
8	67.7	65.9	69.5	70.3	67.6	73
7	67.5	65.7	69.4	70.3	67.5	72.9
6	67.3	65.5	69.1	70.2	67.5	72.9
5	67	65.2	68.9	70.2	67.4	72.8
4	66.7	64.9	68.6	70.1	67.3	72.7
3	66.4	64.5	68.3	69.9	67.2	72.6
2	66	64.1	67.9	69.8	67	72.4
1	65.5	63.6	67.4	69.5	66.8	72.2
0	62.4	60.2	64.6	67.6	64.8	70.4

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 DR Congo can expect to live to 71 years compared to 71.9 in Tanzania, rising to 78.6 and 79.9 at 65, and to 85.9 and 87.3 at 80 — higher than the 62.4 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

DR Congo

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	DR Congo			Tanzania
	Average	Male	Female	Average	Male	Female
100	0.09%	0.04%	0.14%	0.67%	0.12%	1.28%
99	0.15%	0.07%	0.23%	0.94%	0.2%	1.76%
98	0.25%	0.13%	0.37%	1.29%	0.3%	2.36%
97	0.4%	0.21%	0.58%	1.73%	0.46%	3.12%
96	0.61%	0.34%	0.88%	2.29%	0.68%	4.05%
95	0.92%	0.54%	1.3%	2.99%	0.98%	5.16%
94	1.34%	0.83%	1.85%	3.82%	1.38%	6.46%
93	1.9%	1.24%	2.56%	4.81%	1.89%	7.95%
92	2.62%	1.79%	3.45%	5.97%	2.55%	9.63%
91	3.52%	2.51%	4.53%	7.28%	3.35%	11.5%
90	4.61%	3.42%	5.82%	8.82%	4.35%	13.5%
89	5.92%	4.52%	7.34%	10.5%	5.52%	15.7%
88	7.45%	5.83%	9.1%	12.4%	6.9%	18.1%
87	9.2%	7.33%	11.1%	14.4%	8.47%	20.5%
86	11.2%	9.03%	13.3%	16.6%	10.2%	23.1%
85	13.3%	10.9%	15.8%	19%	12.2%	25.7%
84	15.7%	13%	18.4%	21.4%	14.3%	28.4%
83	18.2%	15.2%	21.2%	23.9%	16.6%	31%
82	20.8%	17.6%	24%	26.5%	19%	33.6%
81	23.5%	20.1%	27%	29%	21.4%	36.1%
80	26.3%	22.6%	30%	31.5%	24%	38.5%
79	29.1%	25.3%	33%	34.1%	26.6%	41%
78	31.9%	27.9%	35.9%	36.6%	29.2%	43.4%
77	34.6%	30.5%	38.8%	39.2%	31.8%	45.8%
76	37.3%	33.2%	41.6%	41.7%	34.5%	48.2%
75	40%	35.7%	44.4%	44.2%	37.1%	50.6%
74	42.6%	38.3%	47%	46.6%	39.7%	52.9%
73	45.1%	40.8%	49.6%	49%	42.2%	55.1%
72	47.5%	43.1%	52%	51.3%	44.7%	57.3%
71	49.8%	45.4%	54.3%	53.5%	47.1%	59.4%
70	52%	47.6%	56.5%	55.7%	49.5%	61.4%
69	54.1%	49.7%	58.5%	57.7%	51.8%	63.3%
68	56%	51.7%	60.4%	59.7%	54%	65.2%
67	57.9%	53.6%	62.2%	61.7%	56.2%	67%
66	59.6%	55.4%	63.9%	63.6%	58.3%	68.8%
65	61.3%	57.2%	65.4%	65.4%	60.3%	70.5%
64	62.8%	58.8%	66.9%	67.2%	62.3%	72%
63	64.3%	60.3%	68.3%	68.8%	64.2%	73.5%
62	65.6%	61.8%	69.5%	70.4%	66%	74.9%
61	66.9%	63.2%	70.6%	71.9%	67.6%	76.2%
60	68%	64.4%	71.7%	73.3%	69.3%	77.5%
59	69.1%	65.6%	72.7%	74.7%	70.8%	78.6%
58	70.1%	66.7%	73.6%	75.9%	72.2%	79.7%
57	71.1%	67.8%	74.5%	77.1%	73.6%	80.7%
56	72%	68.8%	75.3%	78.2%	74.9%	81.6%
55	72.9%	69.8%	76.1%	79.3%	76.1%	82.5%
54	73.7%	70.7%	76.8%	80.3%	77.3%	83.3%
53	74.5%	71.6%	77.5%	81.3%	78.4%	84.2%
52	75.3%	72.5%	78.2%	82.2%	79.4%	84.9%
51	76%	73.3%	78.9%	83%	80.4%	85.6%
50	76.7%	74.1%	79.5%	83.9%	81.4%	86.3%
49	77.4%	74.8%	80%	84.6%	82.3%	86.9%
48	78%	75.4%	80.5%	85.3%	83.1%	87.5%
47	78.5%	76.1%	81%	86%	83.9%	88.1%
46	79.1%	76.7%	81.5%	86.6%	84.7%	88.6%
45	79.6%	77.3%	82%	87.2%	85.4%	89.1%
44	80.1%	77.9%	82.5%	87.8%	86%	89.6%
43	80.7%	78.4%	82.9%	88.3%	86.7%	90%
42	81.2%	79%	83.4%	88.8%	87.2%	90.5%
41	81.6%	79.5%	83.8%	89.3%	87.8%	90.8%
40	82.1%	80%	84.2%	89.8%	88.3%	91.2%
39	82.5%	80.5%	84.6%	90.2%	88.8%	91.6%
38	83%	80.9%	85%	90.6%	89.3%	91.9%
37	83.4%	81.4%	85.4%	91%	89.8%	92.2%
36	83.8%	81.8%	85.7%	91.3%	90.2%	92.5%
35	84.1%	82.3%	86.1%	91.7%	90.6%	92.8%
34	84.5%	82.7%	86.4%	92%	90.9%	93.1%
33	84.9%	83.1%	86.7%	92.3%	91.3%	93.3%
32	85.3%	83.5%	87.1%	92.6%	91.6%	93.6%
31	85.6%	83.9%	87.4%	92.9%	92%	93.8%
30	86%	84.4%	87.7%	93.1%	92.3%	94%
29	86.4%	84.8%	88%	93.4%	92.5%	94.2%
28	86.7%	85.1%	88.3%	93.6%	92.8%	94.4%
27	87.1%	85.5%	88.6%	93.8%	93.1%	94.6%
26	87.4%	85.9%	88.9%	94%	93.3%	94.8%
25	87.7%	86.3%	89.1%	94.2%	93.6%	94.9%
24	88.1%	86.7%	89.4%	94.4%	93.8%	95.1%
23	88.4%	87.1%	89.7%	94.6%	94%	95.2%
22	88.7%	87.5%	89.9%	94.8%	94.2%	95.4%
21	89%	87.9%	90.2%	95%	94.4%	95.5%
20	89.3%	88.3%	90.4%	95.1%	94.6%	95.6%
19	89.6%	88.6%	90.6%	95.3%	94.8%	95.7%
18	89.9%	88.9%	90.9%	95.4%	95%	95.8%
17	90.1%	89.2%	91.1%	95.5%	95.1%	95.9%
16	90.3%	89.5%	91.2%	95.6%	95.2%	96%
15	90.5%	89.7%	91.4%	95.7%	95.3%	96.1%
14	90.7%	89.9%	91.6%	95.8%	95.4%	96.1%
13	90.9%	90%	91.7%	95.8%	95.5%	96.2%
12	91.1%	90.2%	91.9%	95.9%	95.5%	96.2%
11	91.2%	90.4%	92.1%	95.9%	95.6%	96.3%
10	91.4%	90.6%	92.2%	96%	95.7%	96.4%
9	91.6%	90.9%	92.4%	96.1%	95.7%	96.4%
8	91.9%	91.1%	92.7%	96.1%	95.8%	96.5%
7	92.2%	91.5%	92.9%	96.2%	95.9%	96.5%
6	92.5%	91.8%	93.3%	96.3%	96%	96.6%
5	92.9%	92.3%	93.6%	96.4%	96.1%	96.7%
4	93.4%	92.8%	94.1%	96.5%	96.2%	96.8%
3	93.9%	93.3%	94.5%	96.7%	96.4%	97%
2	94.6%	94%	95.1%	96.9%	96.6%	97.2%
1	95.3%	94.7%	95.8%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 68% of newborns in the DR Congo and 73.3% in Tanzania are expected to live past 60, 52% and 55.7% past 70, 26.3% and 31.5% past 80, and only 4.61% and 8.82% past 90.

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

Odds of dying at each age

Chart Table

DR Congo

Male

Female

Tanzania

Male

Female

1x

Age	Probability of dying
	DR Congo			Tanzania
	Average	Male	Female	Average	Male	Female
100	43%	46.5%	42.1%	29.4%	38.6%	28.4%
99	41%	44.6%	40%	28.3%	37.1%	27.2%
98	39.2%	42.6%	38.2%	26.8%	35.3%	25.5%
97	37.3%	40.6%	36.2%	25.7%	33.9%	24.3%
96	35.4%	38.6%	34.1%	24.5%	32.3%	23%
95	33.4%	36.7%	32%	23.3%	30.7%	21.6%
94	31.3%	34.8%	29.8%	21.8%	28.9%	20.1%
93	29.4%	32.9%	27.7%	20.6%	27.3%	18.7%
92	27.4%	30.8%	25.7%	19.4%	25.7%	17.5%
91	25.6%	28.7%	23.9%	18.1%	24%	16%
90	23.8%	26.5%	22.2%	17.4%	22.9%	15.3%
89	22.1%	24.4%	20.7%	16.1%	21.3%	13.9%
88	20.5%	22.4%	19.3%	15.2%	20%	13%
87	19%	20.5%	18%	14.2%	18.6%	12%
86	17.6%	18.8%	16.7%	13.3%	17.3%	11.1%
85	16.2%	17.3%	15.5%	12.3%	16%	10.2%
84	15%	15.9%	14.3%	11.4%	14.9%	9.37%
83	13.8%	14.7%	13.1%	10.4%	13.7%	8.46%
82	12.6%	13.5%	12%	9.6%	12.6%	7.7%
81	11.6%	12.4%	10.9%	8.6%	11.4%	6.8%
80	10.5%	11.3%	9.95%	8.09%	10.6%	6.4%
79	9.61%	10.4%	9.03%	7.47%	9.73%	5.95%
78	8.76%	9.47%	8.2%	7.01%	9.02%	5.65%
77	7.99%	8.65%	7.46%	6.47%	8.26%	5.24%
76	7.3%	7.91%	6.79%	6.05%	7.65%	4.95%
75	6.67%	7.24%	6.2%	5.63%	7.08%	4.66%
74	6.1%	6.63%	5.65%	5.22%	6.52%	4.35%
73	5.57%	6.06%	5.15%	4.83%	6.02%	4.06%
72	5.07%	5.54%	4.68%	4.5%	5.58%	3.8%
71	4.62%	5.05%	4.25%	4.12%	5.1%	3.49%
70	4.2%	4.61%	3.85%	3.91%	4.8%	3.33%
69	3.82%	4.21%	3.48%	3.59%	4.41%	3.06%
68	3.48%	3.86%	3.16%	3.37%	4.12%	2.88%
67	3.18%	3.54%	2.87%	3.16%	3.84%	2.7%
66	2.92%	3.27%	2.61%	2.97%	3.6%	2.54%
65	2.68%	3.02%	2.38%	2.83%	3.4%	2.41%
64	2.46%	2.78%	2.17%	2.61%	3.15%	2.2%
63	2.25%	2.56%	1.98%	2.42%	2.92%	2.02%
62	2.06%	2.35%	1.8%	2.25%	2.71%	1.86%
61	1.88%	2.15%	1.63%	2.06%	2.49%	1.7%
60	1.71%	1.96%	1.48%	1.94%	2.34%	1.58%
59	1.57%	1.8%	1.35%	1.78%	2.14%	1.44%
58	1.45%	1.67%	1.24%	1.66%	1.99%	1.34%
57	1.35%	1.56%	1.16%	1.54%	1.85%	1.24%
56	1.27%	1.47%	1.09%	1.44%	1.73%	1.16%
55	1.21%	1.4%	1.03%	1.35%	1.62%	1.09%
54	1.15%	1.33%	0.98%	1.26%	1.52%	1.02%
53	1.09%	1.27%	0.92%	1.18%	1.42%	0.95%
52	1.03%	1.2%	0.87%	1.11%	1.34%	0.9%
51	0.96%	1.12%	0.81%	1.03%	1.24%	0.83%
50	0.89%	1.04%	0.75%	0.97%	1.17%	0.79%
49	0.83%	0.96%	0.7%	0.9%	1.08%	0.73%
48	0.77%	0.89%	0.65%	0.84%	1.01%	0.68%
47	0.73%	0.84%	0.62%	0.78%	0.94%	0.63%
46	0.69%	0.8%	0.6%	0.73%	0.88%	0.59%
45	0.67%	0.76%	0.58%	0.69%	0.83%	0.56%
44	0.65%	0.74%	0.57%	0.64%	0.77%	0.52%
43	0.63%	0.71%	0.56%	0.6%	0.72%	0.49%
42	0.61%	0.69%	0.54%	0.57%	0.68%	0.47%
41	0.59%	0.66%	0.52%	0.53%	0.63%	0.44%
40	0.56%	0.63%	0.5%	0.51%	0.6%	0.42%
39	0.54%	0.6%	0.47%	0.47%	0.56%	0.39%
38	0.51%	0.58%	0.45%	0.45%	0.53%	0.37%
37	0.49%	0.56%	0.43%	0.42%	0.5%	0.34%
36	0.47%	0.54%	0.41%	0.39%	0.47%	0.33%
35	0.46%	0.53%	0.4%	0.37%	0.44%	0.31%
34	0.45%	0.52%	0.39%	0.35%	0.41%	0.29%
33	0.44%	0.51%	0.38%	0.33%	0.39%	0.27%
32	0.44%	0.5%	0.37%	0.31%	0.37%	0.25%
31	0.43%	0.49%	0.36%	0.29%	0.34%	0.24%
30	0.42%	0.48%	0.36%	0.28%	0.33%	0.23%
29	0.41%	0.47%	0.35%	0.26%	0.31%	0.21%
28	0.4%	0.47%	0.34%	0.25%	0.3%	0.2%
27	0.4%	0.46%	0.33%	0.24%	0.28%	0.19%
26	0.39%	0.46%	0.32%	0.22%	0.27%	0.18%
25	0.38%	0.46%	0.31%	0.21%	0.26%	0.17%
24	0.38%	0.46%	0.3%	0.2%	0.25%	0.16%
23	0.37%	0.46%	0.29%	0.19%	0.24%	0.15%
22	0.37%	0.45%	0.28%	0.18%	0.23%	0.14%
21	0.35%	0.44%	0.27%	0.17%	0.21%	0.13%
20	0.34%	0.41%	0.26%	0.16%	0.2%	0.13%
19	0.32%	0.38%	0.25%	0.15%	0.18%	0.12%
18	0.29%	0.34%	0.24%	0.14%	0.17%	0.11%
17	0.26%	0.31%	0.22%	0.12%	0.14%	0.1%
16	0.24%	0.27%	0.21%	0.1%	0.12%	0.09%
15	0.22%	0.24%	0.19%	0.09%	0.1%	0.08%
14	0.2%	0.22%	0.18%	0.08%	0.09%	0.07%
13	0.19%	0.21%	0.17%	0.07%	0.08%	0.06%
12	0.19%	0.2%	0.17%	0.06%	0.07%	0.06%
11	0.19%	0.21%	0.18%	0.06%	0.07%	0.05%
10	0.21%	0.23%	0.19%	0.06%	0.07%	0.05%
9	0.24%	0.26%	0.22%	0.06%	0.07%	0.06%
8	0.28%	0.3%	0.25%	0.07%	0.07%	0.06%
7	0.32%	0.35%	0.29%	0.08%	0.08%	0.07%
6	0.37%	0.41%	0.34%	0.08%	0.09%	0.08%
5	0.43%	0.47%	0.4%	0.1%	0.11%	0.09%
4	0.5%	0.54%	0.46%	0.13%	0.14%	0.12%
3	0.57%	0.61%	0.52%	0.18%	0.18%	0.17%
2	0.65%	0.69%	0.6%	0.25%	0.26%	0.25%
1	0.74%	0.79%	0.69%	0.41%	0.41%	0.4%
0	4.74%	5.25%	4.22%	2.69%	2.99%	2.38%

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

The annual chance of dying is 4.74% in the birth year in the DR Congo and 2.69% in Tanzania, 0.42% vs 0.28% at age 30, 1.71% vs 1.94% at 60, and 10.5% vs 8.09% at 80.

Death rate by age in DR Congo vs Tanzania

Chart Table

DR Congo

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	DR Congo			Tanzania
	Total	Male	Female	Total	Male	Female
100	0	0	0	140.1	0.71	294.9
99	62	32	91.8	266.5	72.6	478
98	97.5	53.2	141.6	344	107.1	602
97	148	85.4	210.7	444	155.1	756
96	216.9	132.6	302	562	218.8	930
95	307	199.2	415	695	300	1,116
94	420	289.7	552	834	398	1,297
93	557	407	709	989	516	1,486
92	718	552	886	1,159	656	1,682
91	900	721	1,082	1,316	805	1,836
90	1,099	907	1,294	1,536	994	2,078
89	1,310	1,104	1,520	1,690	1,174	2,190
88	1,528	1,304	1,756	1,881	1,377	2,351
87	1,746	1,503	1,994	2,045	1,575	2,462
86	1,959	1,699	2,225	2,207	1,777	2,566
85	2,160	1,888	2,438	2,336	1,957	2,629
84	2,342	2,067	2,625	2,452	2,143	2,662
83	2,499	2,231	2,776	2,499	2,269	2,625
82	2,625	2,371	2,886	2,540	2,389	2,588
81	2,716	2,484	2,954	2,490	2,434	2,451
80	2,771	2,565	2,983	2,549	2,548	2,467
79	2,794	2,617	2,977	2,545	2,586	2,439
78	2,791	2,641	2,945	2,569	2,636	2,453
77	2,766	2,642	2,893	2,533	2,630	2,402
76	2,724	2,624	2,827	2,519	2,638	2,384
75	2,669	2,589	2,749	2,489	2,625	2,358
74	2,597	2,537	2,657	2,431	2,589	2,297
73	2,511	2,470	2,552	2,367	2,543	2,235
72	2,412	2,389	2,435	2,309	2,496	2,179
71	2,302	2,296	2,307	2,205	2,404	2,072
70	2,185	2,196	2,173	2,174	2,375	2,046
69	2,067	2,094	2,038	2,072	2,284	1,936
68	1,952	1,995	1,907	2,015	2,226	1,877
67	1,843	1,901	1,784	1,948	2,160	1,806
66	1,741	1,811	1,668	1,889	2,097	1,743
65	1,642	1,725	1,559	1,848	2,051	1,698
64	1,545	1,637	1,452	1,753	1,961	1,588
63	1,448	1,546	1,349	1,666	1,874	1,488
62	1,350	1,452	1,248	1,583	1,789	1,396
61	1,254	1,356	1,151	1,484	1,686	1,293
60	1,164	1,265	1,061	1,422	1,617	1,227
59	1,082	1,181	982	1,327	1,514	1,135
58	1,014	1,111	915	1,257	1,436	1,069
57	959	1,055	862	1,185	1,359	1,002
56	916	1,011	819	1,126	1,294	949
55	881	976	784	1,069	1,234	895
54	848	943	751	1,015	1,174	848
53	813	907	717	962	1,116	802
52	774	866	680	914	1,062	763
51	729	818	639	856	999	711
50	683	768	597	817	955	680
49	639	718	559	761	892	633
48	602	674	527	716	840	596
47	572	638	503	671	789	558
46	550	611	487	632	744	525
45	534	590	476	599	705	498
44	522	573	469	563	661	469
43	510	558	461	533	625	445
42	496	541	450	507	593	423
41	480	523	436	476	557	397
40	461	503	418	455	533	380
39	442	484	398	428	500	357
38	424	466	380	405	473	338
37	408	452	363	382	446	318
36	396	441	350	361	420	301
35	388	434	340	341	398	284.4
34	381	428	333	321	375	266.3
33	376	423	328	303	353	251.3
32	371	418	323	286.8	335	237.8
31	366	412	319	269.7	316	222.6
30	361	407	313	258.9	303	213.8
29	355	401	307	245	287.2	202.1
28	350	398	299.9	233.1	274.4	191
27	345	397	291.6	222.2	262.5	181.1
26	341	398	282.8	211.5	251.5	171
25	338	400	273.8	201.9	242.2	161.1
24	335	403	265.4	192.7	232.5	152.5
23	331	402	258	183.7	223.1	143.7
22	325	397	251.5	174.2	212.6	135.4
21	315	384	245.4	164	200.4	127
20	302	364	238.6	154.3	187.4	120.7
19	283.9	337	229.9	142.8	172.9	112.2
18	262.3	306	218.4	130.5	157.1	103.4
17	238.7	272.7	204.2	114.1	134.6	93.3
16	215.6	241.9	188.8	98.8	113.8	83.6
15	195	215.6	174.2	85	95.7	74
14	179.5	196.1	162.6	73.3	81.7	64.7
13	170.6	184.9	156	65.1	71.8	58.2
12	169.3	182.8	155.5	60	66.3	53.6
11	176.5	190.4	162.3	57.8	63.8	51.6
10	192.5	207.9	176.9	57.7	63	52.2
9	218	235.8	199.9	59.9	65.2	54.4
8	252.8	273.8	231.4	64.7	70.4	58.8
7	296.1	321	270.8	72.2	78.1	66.1
6	347	376	317	81.7	87.3	76
5	404	436	370	96.7	101.8	91.4
4	466	502	429	125.6	131.7	119.3
3	534	573	494	171.2	177.9	164.3
2	612	653	570	246.7	252.7	240.5
1	706	750	662	394	394	394
0	4,741	5,250	4,223	2,690	2,990	2,383

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 DR Congo, the most common age of death is 0, compared to 0 in Tanzania. The median age of death is 70.9 in the DR Congo and 72.6 in Tanzania, 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 DR Congo and Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x