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

Usage

ppiHND2023

Format

A data frame with 18 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl_extreme

National poverty line (extreme)

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)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Examples

  # Access Honduras PPI table
  ppiHND2023
#> # A tibble: 101 × 18
#>    score nl100 nl_extreme ppp100 ppp190 ppp320 ppp550 ppp800 ppp1100 ppp1500
#>    <dbl> <dbl>      <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>   <dbl>   <dbl>
#>  1     0  88.7       68.4   32.2   56.5   82.8   94.8   96.7    99.0    99.6
#>  2     1  88.3       67.4   31.1   55.2   81.9   94.5   96.5    99.0    99.6
#>  3     2  87.9       66.4   30.1   53.8   81.0   94.1   96.3    98.9    99.6
#>  4     3  87.4       65.4   29.1   52.5   80.1   93.8   96.0    98.8    99.5
#>  5     4  86.9       64.4   28.1   51.2   79.2   93.4   95.8    98.7    99.5
#>  6     5  86.4       63.3   27.2   49.9   78.2   93.0   95.5    98.6    99.5
#>  7     6  85.9       62.3   26.2   48.6   77.2   92.5   95.3    98.5    99.4
#>  8     7  85.4       61.2   25.3   47.2   76.1   92.1   95.0    98.4    99.4
#>  9     8  84.8       60.1   24.4   45.9   75.0   91.6   94.7    98.3    99.3
#> 10     9  84.3       59.0   23.6   44.6   73.9   91.1   94.3    98.2    99.3
#> # ℹ 91 more rows
#> # ℹ 8 more variables: ppp2170 <dbl>, ppp125 <dbl>, ppp250 <dbl>, ppp500 <dbl>,
#> #   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
  ppiHND2023[ppiHND2023$score == ppiScore, ]
#> # A tibble: 1 × 18
#>   score nl100 nl_extreme ppp100 ppp190 ppp320 ppp550 ppp800 ppp1100 ppp1500
#>   <dbl> <dbl>      <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>   <dbl>   <dbl>
#> 1    50  48.1       18.4   4.13   8.41   20.1   42.6   55.9    76.3    87.4
#> # ℹ 8 more variables: ppp2170 <dbl>, ppp125 <dbl>, ppp250 <dbl>, ppp500 <dbl>,
#> #   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(ppiHND2023, score == ppiScore)
#> # A tibble: 1 × 18
#>   score nl100 nl_extreme ppp100 ppp190 ppp320 ppp550 ppp800 ppp1100 ppp1500
#>   <dbl> <dbl>      <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>   <dbl>   <dbl>
#> 1    50  48.1       18.4   4.13   8.41   20.1   42.6   55.9    76.3    87.4
#> # ℹ 8 more variables: ppp2170 <dbl>, ppp125 <dbl>, ppp250 <dbl>, ppp500 <dbl>,
#> #   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
  ppiHND2023[ppiHND2023$score == ppiScore, "nl_extreme"]
#> # A tibble: 1 × 1
#>   nl_extreme
#>        <dbl>
#> 1       18.4