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Table 3 Absolute increase and difference from the observed increase in overall life expectancy in two hypothetical scenarios when the same mortality change rates in small-to-middle urban areas (SMUAs) and rural areas (RAs) were posited for the 2000–2009 and 2010–2019 periods: Findings from the Korean Statistical Information Services, 2000–2019, Men and women

From: Contributions of the life expectancy gap reduction between urban and rural areas to the increase in overall life expectancy in South Korea from 2000 to 2019

 

2000–2009

2010–2019

 

Year 2000, yrs

(A)

Year 2009, yrs

(B)

Absolute

increase, yrs

(B)-(A)

Difference from the observed increase, yrs

Year 2010, yrs

(C)

Year 2019, yrs

(D)

Absolute

increase, yrs

(D)-(C)

Difference from the observed increase, yrs

Men

        

Observed

72.3

(72.2, 72.4)

76.8

(76.8, 76.9)

4.5

(4.5, 4.6)

 

77.0

(76.9, 77.0)

80.4

(80.4, 80.5)

3.5

(3.4, 3.5)

 

Scenario 1

 

76.3

(76.2, 76.4)

4.0

(3.9, 4.1)

-0.5

(-0.6, -0.4)

 

80.0

(80.0, 80.1)

3.1

(3.0, 3.2)

-0.4

(-0.5, -0.3)

Scenario 2

 

77.7

(77.6, 77.8)

5.4

(5.3, 5.5)

0.9

(0.8, 0.9)

 

81.2

(81.2, 81.3)

4.2

(4.2, 4.3)

0.8

(0.7, 0.9)

Women

        

Observed

79.6

(76.6, 79.7)

83.6

(83.5, 83.7)

4.0

(3.9, 4.1)

 

83.8

(83.8, 83.9)

86.4

(86.4, 86.5)

2.6

(2.5, 2.7)

 

Scenario 1

 

83.2

(83.2, 83.3)

3.6

(3.5, 3.7)

-0.4

(-0.5, -0.3)

 

86.2

(86.1, 86.2)

2.4

(2.3, 2.5)

-0.3

(-0.4, -0.2)

Scenario 2

 

84.4

(84.3, 84.5)

4.8

(4.7, 4.9)

0.8

(0.7, 0.9)

 

87.1

(87.0, 87.2)

3.3

(3.2, 3.4)

0.7

(0.6, 0.7)

  1. In Scenario 1, age-specific mortalities in the SMUA and RA groups were hypothesized to decrease at the same rate as in the LUA group. In Scenario 2, the age-specific mortality decrease in SMUAs and RAs was hypothesized to be 20% faster than the observed rate
  2. The numbers in parentheses indicate the boundary values of the 95% uncertainty interval