Poverty Probability Index (PPI) lookup table for Uganda 2022

Poverty Probability Index (PPI) lookup table for Uganda 2022

Usage

ppiUGA2022

Format

A data frame with 21 columns and 100 rows:

score

PPI score

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 50th percentile poverty line

percentile80

Below 60th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Uganda PPI table
  ppiUGA2022
#> # A tibble: 100 × 13
#>    score ppp100 ppp190 ppp320 ppp550 ppp800 ppp1100 ppp1500 ppp2170 percentile20
#>    <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>   <dbl>   <dbl>   <dbl>        <dbl>
#>  1     1   66.0   89.8   96.1   99.1   99.6    99.8    99.9    99.9         79.7
#>  2     2   63.9   89.1   95.9   99.1   99.6    99.7    99.8    99.9         78.5
#>  3     3   61.7   88.5   95.6   99.0   99.6    99.7    99.8    99.9         77.2
#>  4     4   59.5   87.8   95.4   99.0   99.6    99.7    99.8    99.9         75.9
#>  5     5   57.3   87.0   95.2   98.9   99.5    99.7    99.8    99.9         74.6
#>  6     6   55.0   86.2   94.9   98.8   99.5    99.7    99.8    99.9         73.2
#>  7     7   52.7   85.4   94.6   98.8   99.5    99.7    99.8    99.9         71.8
#>  8     8   50.4   84.6   94.3   98.7   99.5    99.7    99.8    99.9         70.3
#>  9     9   48.0   83.7   94.0   98.6   99.4    99.6    99.8    99.9         68.8
#> 10    10   45.7   82.7   93.7   98.5   99.4    99.6    99.8    99.9         67.2
#> # ℹ 90 more rows
#> # ℹ 3 more variables: percentile40 <dbl>, percentile60 <dbl>,
#> #   percentile80 <dbl>

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiUGA2022[ppiUGA2022$score == ppiScore, ]
#> # A tibble: 1 × 13
#>   score ppp100 ppp190 ppp320 ppp550 ppp800 ppp1100 ppp1500 ppp2170 percentile20
#>   <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>   <dbl>   <dbl>   <dbl>        <dbl>
#> 1    50   2.02   24.6   61.4   86.8   94.3    96.9    98.3    99.4         10.2
#> # ℹ 3 more variables: percentile40 <dbl>, percentile60 <dbl>,
#> #   percentile80 <dbl>

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiUGA2022, score == ppiScore)
#> # A tibble: 1 × 13
#>   score ppp100 ppp190 ppp320 ppp550 ppp800 ppp1100 ppp1500 ppp2170 percentile20
#>   <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>   <dbl>   <dbl>   <dbl>        <dbl>
#> 1    50   2.02   24.6   61.4   86.8   94.3    96.9    98.3    99.4         10.2
#> # ℹ 3 more variables: percentile40 <dbl>, percentile60 <dbl>,
#> #   percentile80 <dbl>

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the purchasing
  # power parity at $1.00
  ppiScore <- 50
  ppiUGA2022[ppiUGA2022$score == ppiScore, "ppp100"]
#> # A tibble: 1 × 1
#>   ppp100
#>    <dbl>
#> 1   2.02