Poverty Probability Index (PPI) lookup table for Vietnam for 2023

Usage

ppiVNM2023

Format

A data frame with 8 columns and 101 rows:

score: PPI score
percentile20: Below 20th percentile poverty line
percentile40: Below 40th percentile poverty line
percentile60: Below 60th percentile poverty line
percentile80: Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Vietnam PPI table
  ppiVNM2023
#> # A tibble: 101 × 5
#>    score percentile20 percentile40 percentile60 percentile80
#>    <dbl>        <dbl>        <dbl>        <dbl>        <dbl>
#>  1     0         100.         100.         100.         100.
#>  2     1         100.         100.         100.         100.
#>  3     2         100.         100.         100.         100.
#>  4     3         100.         100.         100.         100.
#>  5     4         100.         100.         100.         100.
#>  6     5         100.         100.         100.         100.
#>  7     6         100.         100.         100.         100.
#>  8     7         100.         100.         100.         100.
#>  9     8         100.         100.         100.         100.
#> 10     9         100.         100.         100.         100.
#> # ℹ 91 more rows

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiVNM2023[ppiVNM2023$score == ppiScore, ]
#> # A tibble: 1 × 5
#>   score percentile20 percentile40 percentile60 percentile80
#>   <dbl>        <dbl>        <dbl>        <dbl>        <dbl>
#> 1    50         64.9         97.7         99.1         100.

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiVNM2023, score == ppiScore)
#> # A tibble: 1 × 5
#>   score percentile20 percentile40 percentile60 percentile80
#>   <dbl>        <dbl>        <dbl>        <dbl>        <dbl>
#> 1    50         64.9         97.7         99.1         100.

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiVNM2023[ppiVNM2023$score == ppiScore, "percentile20"]
#> # A tibble: 1 × 1
#>   percentile20
#>          <dbl>
#> 1         64.9