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

Life expectancy by current age

Chart Table

DR Congo

Male

Female

Thailand

Male

Female

1x

Current age, years	Total life expectancy, years
	DR Congo			Thailand
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.8	102.9	102.7	103.1
99	100.8	100.7	100.9	102.1	101.8	102.2
98	99.9	99.8	100	101.2	101	101.4
97	99	98.8	99.1	100.4	100.2	100.5
96	98.1	97.9	98.2	99.7	99.5	99.8
95	97.3	97	97.3	98.9	98.7	99
94	96.4	96.2	96.5	98.2	97.9	98.3
93	95.5	95.3	95.7	97.4	97.2	97.6
92	94.7	94.4	94.8	96.7	96.5	96.9
91	93.9	93.6	94	96.1	95.7	96.2
90	93.1	92.8	93.3	95.4	95	95.6
89	92.3	92	92.5	94.7	94.3	95
88	91.5	91.2	91.7	94.1	93.7	94.3
87	90.8	90.4	91	93.5	93	93.8
86	90	89.7	90.2	92.9	92.4	93.2
85	89.3	89	89.5	92.3	91.8	92.7
84	88.6	88.3	88.8	91.8	91.1	92.2
83	87.9	87.6	88.1	91.2	90.6	91.7
82	87.2	86.9	87.4	90.7	90	91.2
81	86.5	86.2	86.8	90.2	89.4	90.8
80	85.9	85.6	86.1	89.8	88.9	90.4
79	85.3	84.9	85.5	89.3	88.4	90
78	84.7	84.3	85	88.9	87.9	89.6
77	84.1	83.7	84.4	88.5	87.4	89.3
76	83.6	83.2	83.9	88.1	86.9	89
75	83	82.6	83.4	87.7	86.5	88.7
74	82.5	82.1	82.9	87.4	86.1	88.4
73	82	81.6	82.4	87	85.7	88.1
72	81.5	81.1	81.9	86.7	85.3	87.9
71	81.1	80.6	81.5	86.4	84.9	87.6
70	80.6	80.1	81	86.1	84.5	87.4
69	80.2	79.7	80.6	85.8	84.1	87.2
68	79.8	79.2	80.3	85.5	83.8	87
67	79.4	78.8	79.9	85.2	83.4	86.8
66	79	78.4	79.5	85	83.1	86.6
65	78.6	78	79.2	84.8	82.8	86.5
64	78.3	77.6	78.9	84.5	82.5	86.3
63	78	77.3	78.6	84.3	82.2	86.1
62	77.6	76.9	78.3	84.1	82	86
61	77.3	76.6	78	83.8	81.7	85.8
60	77.1	76.3	77.8	83.6	81.4	85.7
59	76.8	76	77.5	83.4	81.1	85.5
58	76.5	75.7	77.3	83.2	80.9	85.4
57	76.3	75.4	77.1	83	80.6	85.2
56	76	75.1	76.8	82.8	80.3	85.1
55	75.8	74.9	76.6	82.6	80.1	85
54	75.5	74.6	76.4	82.4	79.9	84.8
53	75.3	74.3	76.2	82.2	79.6	84.7
52	75	74.1	76	82	79.4	84.6
51	74.8	73.8	75.8	81.9	79.1	84.4
50	74.6	73.6	75.6	81.7	78.9	84.3
49	74.4	73.3	75.4	81.5	78.7	84.2
48	74.2	73.1	75.2	81.3	78.5	84.1
47	74	72.9	75.1	81.2	78.2	84
46	73.8	72.7	74.9	81	78	83.9
45	73.6	72.5	74.7	80.8	77.8	83.8
44	73.4	72.3	74.5	80.7	77.6	83.7
43	73.2	72.1	74.4	80.5	77.4	83.6
42	73.1	71.9	74.2	80.4	77.2	83.5
41	72.9	71.7	74	80.2	77	83.5
40	72.7	71.5	73.9	80.1	76.8	83.4
39	72.5	71.3	73.7	80	76.6	83.3
38	72.3	71.1	73.5	79.8	76.4	83.2
37	72.2	70.9	73.4	79.7	76.3	83.2
36	72	70.7	73.2	79.6	76.1	83.1
35	71.8	70.5	73.1	79.5	76	83.1
34	71.7	70.3	72.9	79.4	75.9	83
33	71.5	70.2	72.8	79.3	75.8	82.9
32	71.3	70	72.6	79.3	75.6	82.9
31	71.1	69.8	72.5	79.2	75.5	82.9
30	71	69.6	72.3	79.1	75.4	82.8
29	70.8	69.4	72.2	79	75.3	82.8
28	70.6	69.2	72	79	75.2	82.7
27	70.5	69	71.9	78.9	75.1	82.7
26	70.3	68.8	71.8	78.8	75	82.7
25	70.1	68.6	71.6	78.7	74.9	82.6
24	69.9	68.4	71.5	78.7	74.8	82.6
23	69.8	68.2	71.3	78.6	74.7	82.6
22	69.6	68	71.2	78.5	74.7	82.5
21	69.4	67.8	71.1	78.5	74.6	82.5
20	69.3	67.6	70.9	78.4	74.5	82.5
19	69.1	67.4	70.8	78.3	74.3	82.4
18	69	67.2	70.7	78.3	74.2	82.4
17	68.8	67.1	70.6	78.2	74.1	82.3
16	68.7	67	70.4	78.1	74.1	82.3
15	68.6	66.8	70.3	78.1	74	82.3
14	68.5	66.7	70.2	78	73.9	82.3
13	68.4	66.6	70.1	78	73.9	82.2
12	68.3	66.5	70	78	73.9	82.2
11	68.2	66.4	69.9	77.9	73.8	82.2
10	68	66.3	69.8	77.9	73.8	82.2
9	67.9	66.1	69.7	77.9	73.8	82.1
8	67.7	65.9	69.5	77.9	73.8	82.1
7	67.5	65.7	69.4	77.9	73.7	82.1
6	67.3	65.5	69.1	77.8	73.7	82.1
5	67	65.2	68.9	77.8	73.7	82.1
4	66.7	64.9	68.6	77.8	73.7	82
3	66.4	64.5	68.3	77.7	73.6	82
2	66	64.1	67.9	77.7	73.6	82
1	65.5	63.6	67.4	77.7	73.5	81.9
0	62.4	60.2	64.6	77.1	72.9	81.4

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 79.1 in Thailand, rising to 78.6 and 84.8 at 65, and to 85.9 and 89.8 at 80 — higher than the 62.4 and 77.1 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 Thailand.

Probability of surviving to a given age

Chart Table

DR Congo

Male

Female

Thailand

Male

Female

1x

Age	Survival probability
	DR Congo			Thailand
	Average	Male	Female	Average	Male	Female
100	0.09%	0.04%	0.14%	3.38%	2.05%	4.79%
99	0.15%	0.07%	0.23%	4.53%	2.77%	6.38%
98	0.25%	0.13%	0.37%	5.9%	3.65%	8.27%
97	0.4%	0.21%	0.58%	7.52%	4.71%	10.5%
96	0.61%	0.34%	0.88%	9.37%	5.96%	13%
95	0.92%	0.54%	1.3%	11.5%	7.39%	15.7%
94	1.34%	0.83%	1.85%	13.8%	9.02%	18.7%
93	1.9%	1.24%	2.56%	16.3%	10.8%	21.9%
92	2.62%	1.79%	3.45%	19%	12.8%	25.4%
91	3.52%	2.51%	4.53%	21.8%	15%	29%
90	4.61%	3.42%	5.82%	24.8%	17.4%	32.7%
89	5.92%	4.52%	7.34%	28%	19.9%	36.4%
88	7.45%	5.83%	9.1%	31.1%	22.4%	40.2%
87	9.2%	7.33%	11.1%	34.3%	25.1%	43.9%
86	11.2%	9.03%	13.3%	37.5%	27.8%	47.6%
85	13.3%	10.9%	15.8%	40.6%	30.6%	51.1%
84	15.7%	13%	18.4%	43.7%	33.4%	54.5%
83	18.2%	15.2%	21.2%	46.7%	36.2%	57.6%
82	20.8%	17.6%	24%	49.6%	38.9%	60.7%
81	23.5%	20.1%	27%	52.4%	41.6%	63.5%
80	26.3%	22.6%	30%	55%	44.3%	66.1%
79	29.1%	25.3%	33%	57.5%	46.9%	68.6%
78	31.9%	27.9%	35.9%	59.9%	49.4%	70.8%
77	34.6%	30.5%	38.8%	62.2%	51.8%	72.9%
76	37.3%	33.2%	41.6%	64.3%	54.1%	74.8%
75	40%	35.7%	44.4%	66.2%	56.3%	76.5%
74	42.6%	38.3%	47%	68%	58.3%	78%
73	45.1%	40.8%	49.6%	69.7%	60.3%	79.4%
72	47.5%	43.1%	52%	71.3%	62.2%	80.7%
71	49.8%	45.4%	54.3%	72.9%	64%	81.9%
70	52%	47.6%	56.5%	74.3%	65.8%	83.1%
69	54.1%	49.7%	58.5%	75.6%	67.4%	84.1%
68	56%	51.7%	60.4%	76.9%	69%	85%
67	57.9%	53.6%	62.2%	78%	70.4%	85.8%
66	59.6%	55.4%	63.9%	79%	71.7%	86.6%
65	61.3%	57.2%	65.4%	80%	72.9%	87.3%
64	62.8%	58.8%	66.9%	81%	74.1%	87.9%
63	64.3%	60.3%	68.3%	81.9%	75.3%	88.6%
62	65.6%	61.8%	69.5%	82.7%	76.4%	89.1%
61	66.9%	63.2%	70.6%	83.5%	77.5%	89.7%
60	68%	64.4%	71.7%	84.3%	78.5%	90.3%
59	69.1%	65.6%	72.7%	85.1%	79.5%	90.8%
58	70.1%	66.7%	73.6%	85.8%	80.4%	91.3%
57	71.1%	67.8%	74.5%	86.5%	81.3%	91.7%
56	72%	68.8%	75.3%	87.1%	82.2%	92.2%
55	72.9%	69.8%	76.1%	87.7%	83%	92.6%
54	73.7%	70.7%	76.8%	88.3%	83.8%	93%
53	74.5%	71.6%	77.5%	88.9%	84.6%	93.4%
52	75.3%	72.5%	78.2%	89.5%	85.3%	93.8%
51	76%	73.3%	78.9%	90%	86.1%	94.1%
50	76.7%	74.1%	79.5%	90.5%	86.8%	94.4%
49	77.4%	74.8%	80%	91%	87.4%	94.7%
48	78%	75.4%	80.5%	91.5%	88.1%	95%
47	78.5%	76.1%	81%	91.9%	88.7%	95.3%
46	79.1%	76.7%	81.5%	92.4%	89.4%	95.6%
45	79.6%	77.3%	82%	92.8%	90%	95.8%
44	80.1%	77.9%	82.5%	93.2%	90.5%	96%
43	80.7%	78.4%	82.9%	93.6%	91.1%	96.2%
42	81.2%	79%	83.4%	94%	91.6%	96.4%
41	81.6%	79.5%	83.8%	94.3%	92.1%	96.6%
40	82.1%	80%	84.2%	94.7%	92.6%	96.8%
39	82.5%	80.5%	84.6%	95%	93.1%	97%
38	83%	80.9%	85%	95.2%	93.5%	97.1%
37	83.4%	81.4%	85.4%	95.5%	93.8%	97.2%
36	83.8%	81.8%	85.7%	95.7%	94.2%	97.4%
35	84.1%	82.3%	86.1%	96%	94.5%	97.5%
34	84.5%	82.7%	86.4%	96.2%	94.8%	97.6%
33	84.9%	83.1%	86.7%	96.3%	95.1%	97.7%
32	85.3%	83.5%	87.1%	96.5%	95.3%	97.8%
31	85.6%	83.9%	87.4%	96.7%	95.6%	97.9%
30	86%	84.4%	87.7%	96.8%	95.8%	97.9%
29	86.4%	84.8%	88%	97%	96%	98%
28	86.7%	85.1%	88.3%	97.1%	96.2%	98.1%
27	87.1%	85.5%	88.6%	97.3%	96.4%	98.2%
26	87.4%	85.9%	88.9%	97.4%	96.6%	98.2%
25	87.7%	86.3%	89.1%	97.5%	96.8%	98.3%
24	88.1%	86.7%	89.4%	97.6%	97%	98.3%
23	88.4%	87.1%	89.7%	97.7%	97.1%	98.4%
22	88.7%	87.5%	89.9%	97.9%	97.3%	98.5%
21	89%	87.9%	90.2%	98%	97.5%	98.5%
20	89.3%	88.3%	90.4%	98.1%	97.7%	98.6%
19	89.6%	88.6%	90.6%	98.2%	97.9%	98.6%
18	89.9%	88.9%	90.9%	98.4%	98.1%	98.7%
17	90.1%	89.2%	91.1%	98.5%	98.2%	98.7%
16	90.3%	89.5%	91.2%	98.6%	98.4%	98.8%
15	90.5%	89.7%	91.4%	98.6%	98.5%	98.8%
14	90.7%	89.9%	91.6%	98.7%	98.6%	98.9%
13	90.9%	90%	91.7%	98.8%	98.6%	98.9%
12	91.1%	90.2%	91.9%	98.8%	98.7%	98.9%
11	91.2%	90.4%	92.1%	98.8%	98.7%	99%
10	91.4%	90.6%	92.2%	98.9%	98.8%	99%
9	91.6%	90.9%	92.4%	98.9%	98.8%	99%
8	91.9%	91.1%	92.7%	98.9%	98.8%	99.1%
7	92.2%	91.5%	92.9%	99%	98.9%	99.1%
6	92.5%	91.8%	93.3%	99%	98.9%	99.1%
5	92.9%	92.3%	93.6%	99%	98.9%	99.1%
4	93.4%	92.8%	94.1%	99.1%	99%	99.2%
3	93.9%	93.3%	94.5%	99.1%	99%	99.2%
2	94.6%	94%	95.1%	99.2%	99.1%	99.3%
1	95.3%	94.7%	95.8%	99.2%	99.2%	99.3%

This chart shows the odds of living to each age from birth. 68% of newborns in the DR Congo and 84.3% in Thailand are expected to live past 60, 52% and 74.3% past 70, 26.3% and 55% past 80, and only 4.61% and 24.8% 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

Thailand

Male

Female

1x

Age	Probability of dying
	DR Congo			Thailand
	Average	Male	Female	Average	Male	Female
100	43%	46.5%	42.1%	26.9%	27.5%	26.6%
99	41%	44.6%	40%	25.3%	26%	24.9%
98	39.2%	42.6%	38.2%	23.3%	24.2%	22.9%
97	37.3%	40.6%	36.2%	21.5%	22.5%	21%
96	35.4%	38.6%	34.1%	19.8%	20.9%	19.2%
95	33.4%	36.7%	32%	18.2%	19.4%	17.5%
94	31.3%	34.8%	29.8%	16.7%	18%	16%
93	29.4%	32.9%	27.7%	15.4%	16.8%	14.7%
92	27.4%	30.8%	25.7%	14.3%	15.7%	13.5%
91	25.6%	28.7%	23.9%	13.2%	14.6%	12.4%
90	23.8%	26.5%	22.2%	12.1%	13.5%	11.3%
89	22.1%	24.4%	20.7%	11.1%	12.5%	10.3%
88	20.5%	22.4%	19.3%	10.2%	11.5%	9.39%
87	19%	20.5%	18%	9.3%	10.6%	8.49%
86	17.6%	18.8%	16.7%	8.48%	9.79%	7.66%
85	16.2%	17.3%	15.5%	7.72%	9.03%	6.89%
84	15%	15.9%	14.3%	7.03%	8.32%	6.18%
83	13.8%	14.7%	13.1%	6.39%	7.67%	5.54%
82	12.6%	13.5%	12%	5.83%	7.08%	4.97%
81	11.6%	12.4%	10.9%	5.31%	6.53%	4.46%
80	10.5%	11.3%	9.95%	4.83%	6.02%	3.99%
79	9.61%	10.4%	9.03%	4.39%	5.53%	3.57%
78	8.76%	9.47%	8.2%	3.99%	5.07%	3.18%
77	7.99%	8.65%	7.46%	3.6%	4.64%	2.83%
76	7.3%	7.91%	6.79%	3.25%	4.23%	2.51%
75	6.67%	7.24%	6.2%	2.94%	3.86%	2.23%
74	6.1%	6.63%	5.65%	2.67%	3.54%	1.98%
73	5.57%	6.06%	5.15%	2.44%	3.27%	1.78%
72	5.07%	5.54%	4.68%	2.25%	3.04%	1.62%
71	4.62%	5.05%	4.25%	2.09%	2.84%	1.47%
70	4.2%	4.61%	3.85%	1.94%	2.66%	1.35%
69	3.82%	4.21%	3.48%	1.79%	2.47%	1.22%
68	3.48%	3.86%	3.16%	1.62%	2.26%	1.09%
67	3.18%	3.54%	2.87%	1.45%	2.03%	0.96%
66	2.92%	3.27%	2.61%	1.29%	1.82%	0.85%
65	2.68%	3.02%	2.38%	1.21%	1.7%	0.79%
64	2.46%	2.78%	2.17%	1.16%	1.62%	0.75%
63	2.25%	2.56%	1.98%	1.1%	1.54%	0.71%
62	2.06%	2.35%	1.8%	1.03%	1.45%	0.67%
61	1.88%	2.15%	1.63%	0.98%	1.37%	0.63%
60	1.71%	1.96%	1.48%	0.93%	1.3%	0.6%
59	1.57%	1.8%	1.35%	0.88%	1.23%	0.57%
58	1.45%	1.67%	1.24%	0.83%	1.17%	0.54%
57	1.35%	1.56%	1.16%	0.79%	1.11%	0.51%
56	1.27%	1.47%	1.09%	0.75%	1.05%	0.48%
55	1.21%	1.4%	1.03%	0.71%	1%	0.46%
54	1.15%	1.33%	0.98%	0.68%	0.95%	0.44%
53	1.09%	1.27%	0.92%	0.65%	0.91%	0.41%
52	1.03%	1.2%	0.87%	0.62%	0.88%	0.39%
51	0.96%	1.12%	0.81%	0.6%	0.84%	0.37%
50	0.89%	1.04%	0.75%	0.57%	0.81%	0.35%
49	0.83%	0.96%	0.7%	0.54%	0.78%	0.32%
48	0.77%	0.89%	0.65%	0.52%	0.74%	0.3%
47	0.73%	0.84%	0.62%	0.49%	0.72%	0.28%
46	0.69%	0.8%	0.6%	0.47%	0.69%	0.27%
45	0.67%	0.76%	0.58%	0.45%	0.67%	0.25%
44	0.65%	0.74%	0.57%	0.44%	0.64%	0.23%
43	0.63%	0.71%	0.56%	0.42%	0.62%	0.22%
42	0.61%	0.69%	0.54%	0.39%	0.59%	0.21%
41	0.59%	0.66%	0.52%	0.37%	0.55%	0.19%
40	0.56%	0.63%	0.5%	0.35%	0.52%	0.18%
39	0.54%	0.6%	0.47%	0.32%	0.48%	0.17%
38	0.51%	0.58%	0.45%	0.3%	0.44%	0.16%
37	0.49%	0.56%	0.43%	0.27%	0.4%	0.14%
36	0.47%	0.54%	0.41%	0.25%	0.36%	0.13%
35	0.46%	0.53%	0.4%	0.23%	0.33%	0.12%
34	0.45%	0.52%	0.39%	0.21%	0.3%	0.11%
33	0.44%	0.51%	0.38%	0.19%	0.28%	0.1%
32	0.44%	0.5%	0.37%	0.18%	0.26%	0.09%
31	0.43%	0.49%	0.36%	0.17%	0.25%	0.08%
30	0.42%	0.48%	0.36%	0.16%	0.24%	0.08%
29	0.41%	0.47%	0.35%	0.15%	0.23%	0.08%
28	0.4%	0.47%	0.34%	0.15%	0.22%	0.07%
27	0.4%	0.46%	0.33%	0.14%	0.21%	0.07%
26	0.39%	0.46%	0.32%	0.13%	0.2%	0.07%
25	0.38%	0.46%	0.31%	0.13%	0.19%	0.06%
24	0.38%	0.46%	0.3%	0.12%	0.18%	0.06%
23	0.37%	0.46%	0.29%	0.12%	0.18%	0.06%
22	0.37%	0.45%	0.28%	0.12%	0.18%	0.06%
21	0.35%	0.44%	0.27%	0.12%	0.19%	0.06%
20	0.34%	0.41%	0.26%	0.13%	0.19%	0.06%
19	0.32%	0.38%	0.25%	0.13%	0.2%	0.06%
18	0.29%	0.34%	0.24%	0.12%	0.19%	0.06%
17	0.26%	0.31%	0.22%	0.11%	0.17%	0.05%
16	0.24%	0.27%	0.21%	0.1%	0.14%	0.05%
15	0.22%	0.24%	0.19%	0.08%	0.11%	0.05%
14	0.2%	0.22%	0.18%	0.07%	0.09%	0.04%
13	0.19%	0.21%	0.17%	0.05%	0.07%	0.04%
12	0.19%	0.2%	0.17%	0.04%	0.05%	0.03%
11	0.19%	0.21%	0.18%	0.04%	0.05%	0.03%
10	0.21%	0.23%	0.19%	0.03%	0.04%	0.03%
9	0.24%	0.26%	0.22%	0.03%	0.04%	0.03%
8	0.28%	0.3%	0.25%	0.03%	0.04%	0.02%
7	0.32%	0.35%	0.29%	0.03%	0.04%	0.03%
6	0.37%	0.41%	0.34%	0.03%	0.04%	0.03%
5	0.43%	0.47%	0.4%	0.04%	0.04%	0.03%
4	0.5%	0.54%	0.46%	0.04%	0.04%	0.04%
3	0.57%	0.61%	0.52%	0.05%	0.05%	0.04%
2	0.65%	0.69%	0.6%	0.05%	0.05%	0.05%
1	0.74%	0.79%	0.69%	0.06%	0.06%	0.07%
0	4.74%	5.25%	4.22%	0.76%	0.84%	0.67%

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

The annual chance of dying is 4.74% in the birth year in the DR Congo and 0.76% in Thailand, 0.42% vs 0.16% at age 30, 1.71% vs 0.93% at 60, and 10.5% vs 4.83% at 80.

Death rate by age in DR Congo vs Thailand

Chart Table

DR Congo

Male

Female

Thailand

Male

Female

1x

Age	Death rate
	DR Congo			Thailand
	Total	Male	Female	Total	Male	Female
100	0	0	0	906	530	1,303
99	62	32	91.8	1,143	719	1,589
98	97.5	53.2	141.6	1,374	882	1,890
97	148	85.4	210.7	1,615	1,060	2,196
96	216.9	132.6	302	1,855	1,247	2,491
95	307	199.2	415	2,082	1,435	2,757
94	420	289.7	552	2,298	1,626	2,999
93	557	407	709	2,505	1,819	3,222
92	718	552	886	2,704	2,011	3,427
91	900	721	1,082	2,878	2,190	3,596
90	1,099	907	1,294	3,009	2,344	3,702
89	1,310	1,104	1,520	3,107	2,476	3,762
88	1,528	1,304	1,756	3,171	2,586	3,775
87	1,746	1,503	1,994	3,193	2,668	3,731
86	1,959	1,699	2,225	3,180	2,726	3,642
85	2,160	1,888	2,438	3,139	2,763	3,517
84	2,342	2,067	2,625	3,072	2,778	3,364
83	2,499	2,231	2,776	2,986	2,775	3,193
82	2,625	2,371	2,886	2,888	2,755	3,014
81	2,716	2,484	2,954	2,779	2,719	2,829
80	2,771	2,565	2,983	2,658	2,666	2,639
79	2,794	2,617	2,977	2,529	2,595	2,448
78	2,791	2,641	2,945	2,389	2,506	2,253
77	2,766	2,642	2,893	2,240	2,402	2,060
76	2,724	2,624	2,827	2,090	2,289	1,874
75	2,669	2,589	2,749	1,946	2,174	1,701
74	2,597	2,537	2,657	1,815	2,067	1,548
73	2,511	2,470	2,552	1,702	1,973	1,416
72	2,412	2,389	2,435	1,605	1,892	1,304
71	2,302	2,296	2,307	1,520	1,820	1,207
70	2,185	2,196	2,173	1,439	1,748	1,117
69	2,067	2,094	2,038	1,352	1,664	1,027
68	1,952	1,995	1,907	1,249	1,556	929
67	1,843	1,901	1,784	1,133	1,427	826
66	1,741	1,811	1,668	1,023	1,302	734
65	1,642	1,725	1,559	967	1,237	687
64	1,545	1,637	1,452	937	1,204	663
63	1,448	1,546	1,349	897	1,156	630
62	1,350	1,452	1,248	852	1,105	595
61	1,254	1,356	1,151	818	1,065	569
60	1,164	1,265	1,061	782	1,023	541
59	1,082	1,181	982	747	979	514
58	1,014	1,111	915	716	941	490
57	959	1,055	862	686	904	468
56	916	1,011	819	656	867	446
55	881	976	784	627	829	425
54	848	943	751	601	797	405
53	813	907	717	580	773	386
52	774	866	680	559	751	367
51	729	818	639	537	727	347
50	683	768	597	515	702	327
49	639	718	559	494	678	307
48	602	674	527	474	656	288.2
47	572	638	503	455	636	270.1
46	550	611	487	438	617	253.3
45	534	590	476	422	600	238
44	522	573	469	406	582	224
43	510	558	461	389	561	211
42	496	541	450	370	537	198.9
41	480	523	436	350	509	187.4
40	461	503	418	329	477	175.9
39	442	484	398	307	444	164.3
38	424	466	380	283	409	152.4
37	408	452	363	259.7	375	140.2
36	396	441	350	237.3	342	128
35	388	434	340	216.6	313	116.5
34	381	428	333	198.7	288.3	106
33	376	423	328	183.9	267.9	96.9
32	371	418	323	172.3	252	89.3
31	366	412	319	163.2	239.6	83.1
30	361	407	313	155.8	229.6	78
29	355	401	307	149.3	220.5	73.8
28	350	398	299.9	142.7	210.9	70.1
27	345	397	291.6	136	200.7	66.8
26	341	398	282.8	129.3	190.3	63.8
25	338	400	273.8	123.1	181	61.3
24	335	403	265.4	118.6	174.6	59.2
23	331	402	258	116.8	172.5	57.8
22	325	397	251.5	117.6	175	57.1
21	315	384	245.4	120.7	181.2	57
20	302	364	238.6	124.3	188	57.1
19	283.9	337	229.9	125.9	191.1	56.9
18	262.3	306	218.4	122.2	184.7	56
17	238.7	272.7	204.2	112.5	167.5	54.1
16	215.6	241.9	188.8	97.5	141.4	50.9
15	195	215.6	174.2	80.9	113.1	46.8
14	179.5	196.1	162.6	65.5	87.5	42.1
13	170.6	184.9	156	53.1	67.8	37.5
12	169.3	182.8	155.5	43.9	53.9	33.2
11	176.5	190.4	162.3	37.4	44.7	29.7
10	192.5	207.9	176.9	33.3	39.2	27.1
9	218	235.8	199.9	31	36.2	25.4
8	252.8	273.8	231.4	29.9	34.8	24.6
7	296.1	321	270.8	30.1	34.9	25
6	347	376	317	31.6	36.3	26.6
5	404	436	370	34.7	39.1	30
4	466	502	429	39.3	43.1	35.2
3	534	573	494	45.5	48.1	42.6
2	612	653	570	53.4	54.3	52.5
1	706	750	662	63.5	61.6	65.5
0	4,741	5,250	4,223	761	845	672

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 87 in Thailand. The median age of death is 70.9 in the DR Congo and 81.8 in Thailand, 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 Thailand more than their death rates.

Life expectancy in other countries

+ -

1x