Life Expectancy in DR Congo vs Moldova (1950-2025)

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 DR Congo vs Moldova: 70.9 years vs 73 at 30, 78.6 vs 79.7 at 65, 85.9 vs 87 at 80 — significantly higher than the 62.2 vs 71.5 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 DR Congo and Moldova.

Table

Current age, years	Total life expectancy, years
	DR Congo			Moldova
	Average	Male	Female	Average	Male	Female
0	62.2	60.1	64.4	71.5	66.8	75.8
1	65.4	63.5	67.3	72.2	67.6	76.4
2	65.8	64	67.7	72.2	67.6	76.5
3	66.3	64.4	68.1	72.2	67.7	76.5
4	66.6	64.8	68.5	72.3	67.7	76.5
5	66.9	65.1	68.8	72.3	67.7	76.6
6	67.2	65.4	69	72.3	67.7	76.6
7	67.4	65.6	69.3	72.3	67.7	76.6
8	67.6	65.8	69.4	72.3	67.7	76.6
9	67.8	66	69.6	72.3	67.8	76.6
10	67.9	66.2	69.7	72.4	67.8	76.6
11	68.1	66.3	69.8	72.4	67.8	76.6
12	68.2	66.4	69.9	72.4	67.8	76.6
13	68.3	66.5	70	72.4	67.8	76.7
14	68.4	66.6	70.1	72.4	67.8	76.7
15	68.5	66.8	70.2	72.4	67.9	76.7
16	68.6	66.9	70.3	72.5	67.9	76.7
17	68.7	67	70.5	72.5	67.9	76.7
18	68.9	67.2	70.6	72.5	67.9	76.7
19	69	67.3	70.7	72.5	68	76.8
20	69.2	67.5	70.8	72.6	68	76.8
21	69.4	67.7	71	72.6	68.1	76.8
22	69.5	67.9	71.1	72.6	68.1	76.8
23	69.7	68.1	71.3	72.7	68.2	76.8
24	69.9	68.3	71.4	72.7	68.2	76.8
25	70.1	68.6	71.5	72.7	68.3	76.9
26	70.2	68.8	71.7	72.8	68.3	76.9
27	70.4	69	71.8	72.8	68.4	76.9
28	70.6	69.1	72	72.9	68.5	76.9
29	70.7	69.3	72.1	72.9	68.5	77
30	70.9	69.5	72.3	73	68.6	77
31	71.1	69.7	72.4	73	68.7	77
32	71.3	69.9	72.6	73.1	68.8	77.1
33	71.4	70.1	72.7	73.2	68.9	77.1
34	71.6	70.3	72.9	73.2	69	77.1
35	71.8	70.5	73	73.3	69.1	77.2
36	71.9	70.7	73.2	73.4	69.2	77.2
37	72.1	70.9	73.3	73.5	69.3	77.3
38	72.3	71	73.5	73.6	69.4	77.3
39	72.5	71.2	73.6	73.7	69.6	77.4
40	72.6	71.4	73.8	73.8	69.7	77.5
41	72.8	71.6	74	74	69.9	77.5
42	73	71.8	74.2	74.1	70.1	77.6
43	73.2	72	74.3	74.2	70.3	77.7
44	73.4	72.2	74.5	74.4	70.5	77.8
45	73.6	72.4	74.7	74.5	70.7	77.9
46	73.8	72.7	74.8	74.7	70.9	78
47	74	72.9	75	74.9	71.1	78.1
48	74.2	73.1	75.2	75.1	71.3	78.2
49	74.4	73.3	75.4	75.2	71.6	78.3
50	74.6	73.5	75.5	75.4	71.9	78.4
51	74.8	73.8	75.7	75.7	72.1	78.6
52	75	74	75.9	75.9	72.4	78.7
53	75.2	74.3	76.1	76.1	72.7	78.8
54	75.5	74.6	76.4	76.3	73	79
55	75.7	74.8	76.6	76.6	73.3	79.2
56	76	75.1	76.8	76.8	73.7	79.3
57	76.2	75.4	77	77.1	74	79.5
58	76.5	75.7	77.3	77.4	74.4	79.7
59	76.8	76	77.5	77.7	74.7	79.9
60	77	76.3	77.7	78	75.1	80.1
61	77.3	76.6	78	78.3	75.5	80.3
62	77.6	76.9	78.3	78.7	76	80.6
63	77.9	77.3	78.6	79	76.4	80.8
64	78.3	77.6	78.9	79.4	76.9	81.1
65	78.6	78	79.2	79.7	77.3	81.3
66	79	78.4	79.5	80.1	77.8	81.6
67	79.4	78.8	79.9	80.5	78.2	81.9
68	79.8	79.2	80.2	80.9	78.7	82.2
69	80.2	79.6	80.6	81.3	79.2	82.5
70	80.6	80.1	81	81.7	79.7	82.9
71	81	80.6	81.4	82.1	80.1	83.3
72	81.5	81	81.9	82.5	80.6	83.6
73	82	81.5	82.4	83	81.1	84.1
74	82.5	82.1	82.8	83.5	81.7	84.5
75	83	82.6	83.3	84	82.2	85
76	83.5	83.2	83.9	84.6	82.8	85.5
77	84.1	83.7	84.4	85.2	83.4	86
78	84.7	84.3	85	85.7	84.1	86.5
79	85.3	84.9	85.5	86.3	84.7	87
80	85.9	85.6	86.1	87	85.4	87.6
81	86.5	86.2	86.8	87.6	86.1	88.2
82	87.2	86.9	87.4	88.2	86.8	88.8
83	87.9	87.6	88.1	88.9	87.5	89.4
84	88.6	88.3	88.8	89.6	88.3	90
85	89.3	89	89.5	90.3	89	90.7
86	90	89.7	90.2	91	89.8	91.4
87	90.7	90.4	91	91.7	90.6	92
88	91.5	91.2	91.7	92.5	91.4	92.7
89	92.3	92	92.5	93.2	92.2	93.5
90	93.1	92.8	93.3	94	93	94.2
91	93.9	93.6	94	94.8	93.8	95
92	94.7	94.4	94.8	95.6	94.7	95.7
93	95.5	95.3	95.7	96.4	95.5	96.5
94	96.4	96.2	96.5	97.2	96.4	97.3
95	97.3	97	97.3	98	97.3	98.1
96	98.1	97.9	98.2	98.9	98.2	99
97	99	98.8	99.1	99.7	99.1	99.8
98	99.9	99.8	100	100.6	100	100.7
99	100.8	100.7	100.9	101.5	100.9	101.5
100	101.8	101.6	101.8	102.4	101.8	102.4

Odds of living to age in DR Congo vs Moldova

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 67.8% in the DR Congo and 80% in Moldova are expected to survive till at least 60 years old, 51.8% and 61.9% will live to 70 years or older, 26.1% and 33.9% to 80+ years, and 4.57% and 8.67% 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
	DR Congo			Moldova
	Average	Male	Female	Average	Male	Female
1	95.2%	94.7%	95.7%	99%	98.9%	99.2%
2	94.5%	93.9%	95%	99%	98.8%	99.1%
3	93.9%	93.3%	94.5%	98.9%	98.8%	99.1%
4	93.3%	92.7%	94%	98.9%	98.7%	99%
5	92.9%	92.2%	93.5%	98.9%	98.7%	99%
6	92.4%	91.7%	93.2%	98.8%	98.7%	99%
7	92.1%	91.4%	92.8%	98.8%	98.6%	99%
8	91.8%	91%	92.6%	98.8%	98.6%	99%
9	91.5%	90.8%	92.3%	98.8%	98.6%	98.9%
10	91.3%	90.5%	92.1%	98.7%	98.6%	98.9%
11	91.1%	90.3%	91.9%	98.7%	98.6%	98.9%
12	90.9%	90.1%	91.8%	98.7%	98.5%	98.9%
13	90.8%	89.9%	91.6%	98.7%	98.5%	98.9%
14	90.6%	89.8%	91.5%	98.7%	98.5%	98.8%
15	90.4%	89.6%	91.3%	98.6%	98.4%	98.8%
16	90.2%	89.3%	91.1%	98.6%	98.4%	98.8%
17	90%	89.1%	90.9%	98.5%	98.3%	98.8%
18	89.8%	88.8%	90.7%	98.5%	98.3%	98.7%
19	89.5%	88.5%	90.5%	98.4%	98.2%	98.7%
20	89.2%	88.2%	90.3%	98.4%	98.1%	98.7%
21	88.9%	87.8%	90%	98.3%	98%	98.6%
22	88.6%	87.4%	89.8%	98.3%	97.9%	98.6%
23	88.3%	87%	89.5%	98.2%	97.8%	98.6%
24	87.9%	86.6%	89.3%	98.1%	97.7%	98.6%
25	87.6%	86.2%	89%	98%	97.6%	98.5%
26	87.2%	85.8%	88.7%	97.9%	97.4%	98.5%
27	86.9%	85.4%	88.4%	97.9%	97.3%	98.4%
28	86.5%	85%	88.1%	97.8%	97.1%	98.4%
29	86.2%	84.6%	87.8%	97.6%	97%	98.3%
30	85.8%	84.2%	87.5%	97.5%	96.8%	98.3%
31	85.5%	83.8%	87.2%	97.4%	96.6%	98.2%
32	85.1%	83.4%	86.9%	97.3%	96.4%	98.1%
33	84.7%	82.9%	86.5%	97.1%	96.1%	98%
34	84.3%	82.5%	86.2%	96.9%	95.9%	98%
35	84%	82.1%	85.9%	96.7%	95.6%	97.9%
36	83.6%	81.6%	85.5%	96.5%	95.3%	97.7%
37	83.2%	81.2%	85.2%	96.3%	94.9%	97.6%
38	82.8%	80.7%	84.8%	96%	94.5%	97.5%
39	82.3%	80.3%	84.4%	95.7%	94%	97.3%
40	81.9%	79.8%	84%	95.3%	93.6%	97.1%
41	81.4%	79.3%	83.6%	95%	93%	96.9%
42	80.9%	78.8%	83.2%	94.6%	92.5%	96.7%
43	80.4%	78.2%	82.7%	94.2%	91.8%	96.5%
44	79.9%	77.6%	82.3%	93.7%	91.2%	96.2%
45	79.4%	77.1%	81.8%	93.2%	90.5%	96%
46	78.9%	76.5%	81.3%	92.7%	89.7%	95.7%
47	78.3%	75.9%	80.8%	92.1%	88.9%	95.4%
48	77.7%	75.2%	80.3%	91.5%	88%	95%
49	77.1%	74.5%	79.8%	90.9%	87%	94.6%
50	76.5%	73.8%	79.2%	90.2%	86%	94.2%
51	75.8%	73.1%	78.6%	89.4%	84.9%	93.8%
52	75.1%	72.2%	78%	88.6%	83.7%	93.4%
53	74.3%	71.4%	77.3%	87.8%	82.5%	92.8%
54	73.5%	70.5%	76.6%	86.9%	81.2%	92.3%
55	72.6%	69.5%	75.8%	85.9%	79.8%	91.7%
56	71.8%	68.5%	75%	84.9%	78.4%	91.1%
57	70.8%	67.5%	74.2%	83.8%	76.8%	90.3%
58	69.9%	66.5%	73.3%	82.6%	75.2%	89.5%
59	68.9%	65.4%	72.4%	81.3%	73.5%	88.7%
60	67.8%	64.2%	71.4%	80%	71.7%	87.8%
61	66.6%	62.9%	70.4%	78.5%	69.7%	86.8%
62	65.4%	61.6%	69.2%	77%	67.7%	85.7%
63	64%	60.1%	68%	75.3%	65.5%	84.5%
64	62.6%	58.6%	66.6%	73.6%	63.3%	83.3%
65	61%	56.9%	65.2%	71.9%	61%	82%
66	59.4%	55.2%	63.6%	70%	58.7%	80.6%
67	57.6%	53.4%	61.9%	68.1%	56.4%	79.1%
68	55.8%	51.5%	60.2%	66.2%	54.1%	77.5%
69	53.8%	49.5%	58.3%	64.1%	51.7%	75.7%
70	51.8%	47.4%	56.2%	61.9%	49.3%	73.7%
71	49.6%	45.2%	54.1%	59.7%	46.9%	71.6%
72	47.3%	42.9%	51.8%	57.2%	44.3%	69.3%
73	44.9%	40.5%	49.3%	54.6%	41.7%	66.7%
74	42.4%	38.1%	46.8%	51.9%	38.9%	64%
75	39.8%	35.6%	44.1%	49.1%	36.1%	61.2%
76	37.1%	33%	41.4%	46.2%	33.2%	58.2%
77	34.4%	30.4%	38.6%	43.1%	30.3%	55.1%
78	31.7%	27.7%	35.7%	40.1%	27.4%	51.9%
79	28.9%	25.1%	32.7%	37%	24.5%	48.6%
80	26.1%	22.5%	29.8%	33.9%	21.7%	45.2%
81	23.3%	19.9%	26.8%	30.9%	19%	41.8%
82	20.6%	17.5%	23.9%	27.9%	16.5%	38.4%
83	18%	15.1%	21%	25%	14.1%	35%
84	15.5%	12.9%	18.2%	22.2%	11.9%	31.6%
85	13.2%	10.8%	15.6%	19.5%	9.96%	28.2%
86	11.1%	8.96%	13.2%	17%	8.17%	25%
87	9.12%	7.27%	11%	14.6%	6.59%	21.9%
88	7.39%	5.78%	9.02%	12.5%	5.23%	18.9%
89	5.87%	4.49%	7.27%	10.5%	4.07%	16.2%
90	4.57%	3.39%	5.76%	8.67%	3.11%	13.6%
91	3.48%	2.49%	4.48%	7.08%	2.33%	11.3%
92	2.59%	1.77%	3.41%	5.69%	1.71%	9.27%
93	1.88%	1.23%	2.53%	4.51%	1.23%	7.46%
94	1.33%	0.82%	1.83%	3.51%	0.86%	5.9%
95	0.91%	0.54%	1.28%	2.68%	0.59%	4.58%
96	0.61%	0.34%	0.87%	2.01%	0.39%	3.49%
97	0.39%	0.21%	0.57%	1.48%	0.25%	2.6%
98	0.25%	0.12%	0.37%	1.06%	0.16%	1.9%
99	0.15%	0.07%	0.23%	0.75%	0.1%	1.36%
100	0.09%	0.04%	0.14%	0.52%	0.06%	0.95%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 4.8% in the birth year in the DR Congo and 0.96% in Moldova, 0.42% vs 0.13% at age 30, 1.72% vs 1.82% at 60, and 10.6% vs 8.94% at 80.

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

Table

Age	Probability of dying
	DR Congo			Moldova
	Average	Male	Female	Average	Male	Female
0	4.8%	5.31%	4.29%	0.96%	1.09%	0.81%
1	0.75%	0.8%	0.7%	0.07%	0.07%	0.07%
2	0.66%	0.7%	0.61%	0.05%	0.06%	0.05%
3	0.58%	0.62%	0.53%	0.04%	0.04%	0.04%
4	0.51%	0.55%	0.46%	0.03%	0.04%	0.03%
5	0.44%	0.48%	0.4%	0.03%	0.03%	0.02%
6	0.38%	0.41%	0.35%	0.02%	0.02%	0.02%
7	0.33%	0.36%	0.3%	0.02%	0.02%	0.02%
8	0.28%	0.3%	0.25%	0.02%	0.02%	0.02%
9	0.24%	0.26%	0.22%	0.02%	0.02%	0.02%
10	0.21%	0.23%	0.2%	0.02%	0.02%	0.02%
11	0.2%	0.21%	0.18%	0.02%	0.02%	0.02%
12	0.19%	0.21%	0.17%	0.03%	0.03%	0.02%
13	0.19%	0.21%	0.17%	0.03%	0.03%	0.02%
14	0.2%	0.22%	0.18%	0.03%	0.04%	0.03%
15	0.22%	0.24%	0.19%	0.04%	0.05%	0.03%
16	0.24%	0.27%	0.21%	0.04%	0.06%	0.03%
17	0.27%	0.31%	0.23%	0.05%	0.07%	0.03%
18	0.3%	0.35%	0.24%	0.05%	0.08%	0.03%
19	0.32%	0.38%	0.26%	0.06%	0.09%	0.03%
20	0.34%	0.42%	0.27%	0.06%	0.1%	0.03%
21	0.36%	0.44%	0.28%	0.07%	0.1%	0.03%
22	0.37%	0.46%	0.28%	0.07%	0.11%	0.03%
23	0.38%	0.47%	0.29%	0.08%	0.12%	0.03%
24	0.38%	0.47%	0.3%	0.08%	0.12%	0.04%
25	0.39%	0.47%	0.31%	0.09%	0.13%	0.04%
26	0.39%	0.47%	0.32%	0.09%	0.15%	0.05%
27	0.4%	0.47%	0.33%	0.1%	0.16%	0.05%
28	0.41%	0.47%	0.34%	0.11%	0.17%	0.06%
29	0.42%	0.48%	0.35%	0.12%	0.19%	0.06%
30	0.42%	0.49%	0.36%	0.13%	0.2%	0.07%
31	0.43%	0.5%	0.37%	0.15%	0.22%	0.08%
32	0.44%	0.51%	0.38%	0.16%	0.24%	0.08%
33	0.45%	0.51%	0.38%	0.18%	0.27%	0.09%
34	0.46%	0.52%	0.39%	0.2%	0.3%	0.11%
35	0.47%	0.53%	0.4%	0.23%	0.34%	0.12%
36	0.48%	0.54%	0.41%	0.26%	0.38%	0.13%
37	0.49%	0.56%	0.43%	0.29%	0.43%	0.15%
38	0.52%	0.58%	0.45%	0.32%	0.47%	0.17%
39	0.54%	0.61%	0.48%	0.35%	0.52%	0.18%
40	0.57%	0.63%	0.5%	0.38%	0.57%	0.2%
41	0.59%	0.66%	0.53%	0.41%	0.62%	0.22%
42	0.62%	0.69%	0.55%	0.44%	0.67%	0.24%
43	0.64%	0.72%	0.56%	0.48%	0.72%	0.26%
44	0.66%	0.74%	0.57%	0.52%	0.78%	0.28%
45	0.68%	0.77%	0.59%	0.56%	0.85%	0.31%
46	0.7%	0.8%	0.6%	0.61%	0.92%	0.33%
47	0.73%	0.84%	0.63%	0.66%	1%	0.36%
48	0.78%	0.9%	0.66%	0.71%	1.08%	0.39%
49	0.83%	0.97%	0.7%	0.77%	1.18%	0.42%
50	0.9%	1.04%	0.76%	0.83%	1.28%	0.45%
51	0.97%	1.12%	0.82%	0.89%	1.38%	0.49%
52	1.03%	1.2%	0.88%	0.96%	1.48%	0.54%
53	1.1%	1.27%	0.93%	1.04%	1.58%	0.59%
54	1.16%	1.34%	0.98%	1.12%	1.69%	0.65%
55	1.22%	1.41%	1.04%	1.21%	1.81%	0.71%
56	1.28%	1.48%	1.09%	1.3%	1.94%	0.79%
57	1.36%	1.56%	1.16%	1.41%	2.1%	0.87%
58	1.45%	1.67%	1.25%	1.54%	2.28%	0.96%
59	1.57%	1.81%	1.36%	1.67%	2.49%	1.05%
60	1.72%	1.97%	1.49%	1.82%	2.72%	1.14%
61	1.88%	2.16%	1.64%	1.97%	2.96%	1.24%
62	2.07%	2.36%	1.8%	2.12%	3.18%	1.34%
63	2.26%	2.57%	1.99%	2.26%	3.39%	1.45%
64	2.47%	2.79%	2.18%	2.4%	3.58%	1.57%
65	2.69%	3.03%	2.39%	2.54%	3.76%	1.7%
66	2.93%	3.28%	2.62%	2.7%	3.93%	1.86%
67	3.2%	3.55%	2.88%	2.89%	4.13%	2.06%
68	3.49%	3.87%	3.17%	3.11%	4.37%	2.3%
69	3.83%	4.22%	3.49%	3.38%	4.66%	2.58%
70	4.21%	4.62%	3.86%	3.7%	5.01%	2.9%
71	4.63%	5.06%	4.26%	4.08%	5.44%	3.27%
72	5.09%	5.55%	4.7%	4.5%	5.96%	3.66%
73	5.58%	6.07%	5.16%	4.97%	6.56%	4.06%
74	6.11%	6.64%	5.67%	5.46%	7.24%	4.47%
75	6.68%	7.26%	6.21%	5.98%	8%	4.89%
76	7.31%	7.93%	6.81%	6.53%	8.81%	5.33%
77	8.01%	8.67%	7.48%	7.09%	9.66%	5.8%
78	8.78%	9.48%	8.22%	7.66%	10.5%	6.32%
79	9.63%	10.4%	9.05%	8.28%	11.4%	6.89%
80	10.6%	11.4%	9.97%	8.94%	12.3%	7.52%
81	11.6%	12.4%	11%	9.65%	13.3%	8.21%
82	12.7%	13.5%	12%	10.4%	14.3%	8.95%
83	13.8%	14.7%	13.1%	11.2%	15.4%	9.74%
84	15%	15.9%	14.3%	12.1%	16.7%	10.6%
85	16.2%	17.3%	15.5%	13%	17.9%	11.5%
86	17.6%	18.8%	16.7%	13.9%	19.3%	12.4%
87	19%	20.5%	18%	14.9%	20.7%	13.4%
88	20.5%	22.4%	19.3%	16%	22.1%	14.5%
89	22.1%	24.4%	20.7%	17.1%	23.6%	15.7%
90	23.8%	26.6%	22.3%	18.3%	25.1%	16.9%
91	25.6%	28.7%	23.9%	19.6%	26.6%	18.2%
92	27.5%	30.8%	25.7%	20.9%	28.3%	19.5%
93	29.4%	32.9%	27.7%	22.2%	30%	20.9%
94	31.4%	34.8%	29.8%	23.6%	31.6%	22.3%
95	33.4%	36.8%	32%	25%	33.3%	23.8%
96	35.4%	38.7%	34.2%	26.5%	34.9%	25.4%
97	37.3%	40.6%	36.3%	28%	36.6%	27%
98	39.2%	42.6%	38.2%	29.5%	38.3%	28.6%
99	41%	44.6%	40.1%	31%	40%	30.3%
100	43%	46.5%	42.2%	32.5%	41.6%	31.9%

Death rate by age in the DR Congo compared to Moldova

In the DR Congo, the most common age of death is 0, compared to 78 in Moldova. The median age of death is 70.8 in the DR Congo and 74.7 in Moldova — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	DR Congo			Moldova
	Total	Male	Female	Total	Male	Female
0	4,802	5,309	4,287	959	1,095	814
1	714	757	670	68.9	70.2	67.5
2	619	659	577	51.8	55.1	48.2
3	541	579	502	39.4	43.5	35
4	472	508	435	30.7	35	26.2
5	409	441	376	24.7	28.7	20.4
6	352	380	323	20.8	24.4	17
7	300	325	275.2	18.7	21.7	15.4
8	256.4	277.2	235.2	18.1	20.5	15.4
9	221	238.7	203.1	18.6	20.6	16.4
10	195.2	210.4	179.6	19.9	21.6	18.1
11	178.8	192.7	164.8	22.1	23.9	20.2
12	171.5	184.9	157.8	25.1	27.5	22.5
13	172.8	187	158.3	28.7	32.8	24.5
14	181.7	198.3	165	33	40	25.9
15	197.5	218	176.7	37.8	49	26.7
16	218.3	244.6	191.5	42.9	59.3	26.9
17	241.7	275.7	207.1	48.3	70	27
18	265.5	309	221.5	53.3	80	27.1
19	287.2	341	233.1	57.7	88.6	27.6
20	305	368	241.8	61.5	95.5	28.4
21	319	388	248.7	65.1	101.2	29.6
22	328	401	254.8	69.1	107	31.4
23	334	406	261.3	73.7	113.5	33.7
24	338	406	268.8	79.2	121.5	36.7
25	341	404	277.2	85.6	131.1	40.2
26	345	402	286.3	93	142.2	44.4
27	348	401	295.2	101.2	154.4	49.1
28	353	402	303	109.8	167.5	54.3
29	358	405	311	119.4	181.6	60.2
30	364	410	317	130.2	197	66.7
31	370	416	322	142.7	214.7	74.1
32	375	422	327	157.6	235.6	82.6
33	380	427	331	175.2	260.6	92.4
34	385	431	337	196.1	290.3	103.6
35	391	437	344	220.3	324	116.3
36	400	444	354	246.7	363	130.4
37	412	455	367	274.9	403	145.4
38	427	469	383	304	445	161.2
39	445	487	402	333	488	177.5
40	464	506	421	362	530	194.4
41	483	526	439	391	573	211.9
42	500	544	454	420	617	230.4
43	513	561	464	452	663	250.1
44	525	576	472	486	712	271.1
45	537	593	479	523	766	293.6
46	552	613	490	562	824	317
47	574	641	506	605	887	343
48	604	677	530	651	954	369
49	642	720	562	699	1,025	397
50	686	770	600	749	1,097	428
51	732	820	642	800	1,169	463
52	776	868	682	852	1,239	502
53	815	909	720	910	1,307	546
54	850	945	754	972	1,375	597
55	883	977	786	1,036	1,446	655
56	918	1,012	821	1,106	1,524	718
57	961	1,056	864	1,183	1,615	785
58	1,015	1,112	917	1,268	1,718	856
59	1,083	1,182	983	1,359	1,833	928
60	1,164	1,265	1,063	1,453	1,951	1,002
61	1,255	1,356	1,152	1,544	2,061	1,075
62	1,351	1,451	1,249	1,628	2,154	1,149
63	1,448	1,545	1,350	1,704	2,222	1,225
64	1,545	1,635	1,453	1,769	2,267	1,306
65	1,642	1,723	1,559	1,825	2,293	1,397
66	1,739	1,809	1,668	1,891	2,311	1,503
67	1,841	1,898	1,783	1,970	2,331	1,629
68	1,950	1,992	1,906	2,059	2,362	1,778
69	2,064	2,090	2,036	2,166	2,408	1,950
70	2,181	2,191	2,170	2,293	2,472	2,141
71	2,297	2,290	2,303	2,432	2,551	2,340
72	2,407	2,382	2,430	2,576	2,641	2,534
73	2,505	2,463	2,547	2,715	2,734	2,711
74	2,590	2,529	2,651	2,835	2,820	2,864
75	2,660	2,580	2,741	2,935	2,888	2,991
76	2,715	2,615	2,819	3,015	2,927	3,100
77	2,756	2,632	2,884	3,061	2,926	3,195
78	2,779	2,630	2,934	3,072	2,881	3,278
79	2,782	2,605	2,965	3,065	2,795	3,349
80	2,758	2,553	2,970	3,034	2,674	3,404
81	2,702	2,471	2,940	2,984	2,528	3,436
82	2,611	2,359	2,872	2,912	2,362	3,439
83	2,486	2,218	2,761	2,813	2,182	3,406
84	2,329	2,055	2,609	2,683	1,990	3,338
85	2,146	1,877	2,423	2,530	1,787	3,235
86	1,946	1,688	2,210	2,362	1,577	3,102
87	1,734	1,493	1,980	2,180	1,365	2,941
88	1,516	1,295	1,743	1,990	1,157	2,754
89	1,300	1,096	1,508	1,792	960	2,543
90	1,090	900	1,283	1,589	780	2,312
91	892	715	1,072	1,386	621	2,067
92	712	547	878	1,187	484	1,812
93	552	404	702	1,000	368	1,559
94	416	287	546	826	271.8	1,317
95	304	197.3	411	669	195.4	1,091
96	214.7	131.2	298.2	532	136.9	886
97	146.4	84.5	208.2	414	93.4	703
98	96.4	52.6	139.9	314	61.9	544
99	61.2	31.6	90.6	232.7	39.8	411
100	0	0	0	105.1	0	216.3

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 DR Congo and Moldova 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
• DR Congo vs Moldova: Complete comparison

By topic vs comparisons:

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