Poverty Probability Index (PPI) lookup table for Peru based on data from the 2022 Encuesta Nacional de Hogares (ENAHO)

Poverty Probability Index (PPI) lookup table for Peru based on data from the 2022 Encuesta Nacional de Hogares (ENAHO)

Usage

ppiPER2024

Format

A data frame with 15 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp215

Below $2.15 per day purchasing power parity (2017)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

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)

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 Peru PPI table
  ppiPER2024
#> # A tibble: 101 × 15
#>    score nlFood nl100 nl150 nl200 ppp215 ppp365 ppp685 ppp190 ppp320 ppp550
#>    <dbl>  <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>
#>  1     0   67.0  37.9  87.7  95.5   16.1   45.4   80.6  10.7    36.1   69.2
#>  2     1   66.0  35.9  87.3  95.3   15.3   43.8   79.6  10.2    34.6   67.5
#>  3     2   64.9  33.9  86.8  95.1   14.5   42.3   78.5   9.69   33.2   65.8
#>  4     3   63.9  32.0  86.3  94.9   13.8   40.7   77.3   9.21   31.8   64.0
#>  5     4   62.8  30.1  85.8  94.7   13.1   39.1   76.2   8.75   30.5   62.2
#>  6     5   61.8  28.3  85.3  94.5   12.4   37.6   75.0   8.31   29.1   60.4
#>  7     6   60.7  26.6  84.8  94.3   11.8   36.1   73.7   7.89   27.8   58.6
#>  8     7   59.6  24.9  84.2  94.0   11.2   34.6   72.4   7.49   26.6   56.7
#>  9     8   58.5  23.4  83.6  93.8   10.6   33.2   71.1   7.11   25.4   54.8
#> 10     9   57.4  21.8  83.1  93.6   10.0   31.8   69.7   6.75   24.2   52.9
#> # ℹ 91 more rows
#> # ℹ 4 more variables: percentile20 <dbl>, 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
  ppiPER2024[ppiPER2024$score == ppiScore, ]
#> # A tibble: 1 × 15
#>   score nlFood nl100 nl150 nl200 ppp215 ppp365 ppp685 ppp190 ppp320 ppp550
#>   <dbl>  <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>
#> 1    50   17.4 0.785  46.6  72.8  0.936   3.20   13.5  0.714   2.32   4.56
#> # ℹ 4 more variables: percentile20 <dbl>, percentile40 <dbl>,
#> #   percentile60 <dbl>, percentile80 <dbl>

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiPER2024, score == ppiScore)
#> # A tibble: 1 × 15
#>   score nlFood nl100 nl150 nl200 ppp215 ppp365 ppp685 ppp190 ppp320 ppp550
#>   <dbl>  <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>
#> 1    50   17.4 0.785  46.6  72.8  0.936   3.20   13.5  0.714   2.32   4.56
#> # ℹ 4 more variables: percentile20 <dbl>, 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 USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiPER2024[ppiPER2024$score == ppiScore, "nl100"]
#> # A tibble: 1 × 1
#>   nl100
#>   <dbl>
#> 1 0.785