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Table 3 Descriptive statistics for Individual-Level Variables

From: Income inequality and self-rated health status in Colombia

 

Weighted Mean and Standard Deviation

Continuous Variables

Weighted means

Household income ($COP 2015)

2,781,907

(420,256)

Per-capita income ($COP 2015)

868,628

(1,572,912)

Equivalised income ($COP 2015)

1,074,374

(1,799,526)

Household size

3.93

 

(1.92)

Age (in-years)

44

(13.56)

 

Mean

Indicator Variables

Weighted means

Poor or fair health status

0.23

Ethnicity/Otherwiseb

0.11/0.89

Male/Femaleb

0.48/0.52

Married

0.23

Divorced or separated

0.10

Widowed

0.03

Singledb

0.64

Health insurance coverage/No insuranceb

0.72/0.28

Health insurance regime – Contributory

0.47

Health insurance regime – Subsidized

0.42

Health insurance regime – Other/Do not Knowb

0.11

Less than primary schoolb

0.05

Less than high school

0.38

Highschool, technical education or some college

0.32

College and advanced degree

0.10

Do not Know (Education)

0.15

Employed/Unemployedb

0.66/0.34

Urban/Ruralb

0.58/0.42

Owner occupied/Rentalb

0.52/0.48

Department level of socioeconomic developmenta

2.37

  1. Observations are pooled over a 8-years period (2011–2019). Sample is limited to individuals aged between 24–75. Weighted means are calculated using the ECV supplemental weights for individual observations
  2. aThree categories are considered: 1. Early; 2. Intermediate; 3. Advance. Educational variables are divided by the lower and upper bound, therefore Less than primary refers to a individual with no education or preschool studies, Less than high school refer to an individual who receive more than primary schooling but less than high school education, Highschool, technical education or some college refers to individuals in those cathegories and College and advanced degrees to individuals with the most education in our sample
  3. bReference category in the regression