Descriptive Statistics from the SK Multicultural Data V1

1 Number of Naturalized Respondents (2 1 [귀화연도 있음] or 2 1 [1. 해당]) in the Sample

# A tibble: 2 × 2
  naturalized_bi        n
  <dbl+lbl>         <int>
1 0 [해당 없음]      9398
2 1 [귀화연도 있음]  8086
# A tibble: 3 × 2
  naturalized_bi       n
  <dbl+lbl>        <int>
1  0 [0. 해당없음] 18419
2  1 [1. 해당]      8296
3 NA                3225
# A tibble: 2 × 2
  naturalized_bi      n
  <dbl+lbl>       <int>
1 0 [0. 해당없음]  7280
2 1 [1. 해당]      8254

2 Number of Naturalizations by Year

2.1 Number of Naturalizations by Year Full Data

2.2 Number of Naturalizations by Year (entered KR before 2011)

2.3 Number of Naturalizations by Year (entered KR after 2000)

3 Number of Naturalizations by Year across Waves

3.1 Number of Naturalizations by Year (2015 wave)

3.2 Number of Naturalizations by Year (2018 wave)

3.3 Number of Naturalizations by Year (2021 wave)

4 Number of Years it Took to Naturalize post 2011 and pre 2011

4.1 Number of Years it Took to Naturalize (Naturalized between 2000 and 2011)

4.2 Number of Years it Took to Naturalize (Naturalized between 2011 and 2018)

5 By Country

Created a data with respondents from Vietnam, Philippines, Thailand, Japan, Mongolia, and China. Dual indicates 1 if the respondent is from Vietnam, Philippines, or Thailand and 0 if the respondent is from Japan, Mongolia, or China.

6 By Income

Do we observe that the changes particularly helped marriage migrants with lower language ability or from poorer households?

# A tibble: 9 × 4
  varname  code label            `Monthly Income`
  <chr>   <dbl> <chr>            <chr>           
1 income      1 100만원 미만     $1,000          
2 income      2 100~200만원 미만 $2,000          
3 income      3 200~300만원 미만 $3,000          
4 income      4 300~400만원 미만 $4,000          
5 income      5 400~500만원 미만 $5,000          
6 income      6 500~600만원 미만 $6,000          
7 income      7 600~700만원 미만 $7,000          
8 income      8 700~800만원 미만 $8,000          
9 income      9 800만원 이상     over $8,000