Poverty Probability Index (PPI) lookup table for Colombia based on data from the 2022 Gran Encuesta Integrada de Hogares (GEIH).

Usage

ppiCOL2024

Format

A data frame with 16 columns and 101 rows:

score: PPI score
nl100: National poverty line (100%)
nl_extreme: National poverty line (extreme)
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 Colombia PPI table
  ppiCOL2024
#> # A tibble: 101 × 15
#>    score nl100 nl_extreme nl150 nl200 ppp215 ppp365 ppp685 ppp190 ppp320 ppp550
#>    <dbl> <dbl>      <dbl> <dbl> <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>
#>  1     0  98.6       93.4  99.7  99.9   88.9   94.3   99.5   86.6   93.9   99.0
#>  2     1  98.5       92.8  99.7  99.9   88.0   93.8   99.4   85.6   93.4   98.9
#>  3     2  98.4       92.2  99.7  99.9   87.1   93.3   99.3   84.6   92.8   98.8
#>  4     3  98.2       91.6  99.6  99.9   86.1   92.7   99.3   83.5   92.2   98.6
#>  5     4  98.1       90.9  99.6  99.8   85.0   92.0   99.2   82.3   91.5   98.5
#>  6     5  97.9       90.2  99.6  99.8   83.9   91.3   99.1   81.1   90.8   98.3
#>  7     6  97.7       89.4  99.5  99.8   82.7   90.6   99.0   79.8   90.0   98.2
#>  8     7  97.5       88.5  99.5  99.8   81.5   89.7   98.9   78.5   89.1   98.0
#>  9     8  97.3       87.6  99.4  99.8   80.2   88.9   98.8   77.0   88.2   97.8
#> 10     9  97.0       86.6  99.3  99.7   78.8   87.9   98.7   75.6   87.2   97.6
#> # 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
  ppiCOL2024[ppiCOL2024$score == ppiScore, ]
#> # A tibble: 1 × 15
#>   score nl100 nl_extreme nl150 nl200 ppp215 ppp365 ppp685 ppp190 ppp320 ppp550
#>   <dbl> <dbl>      <dbl> <dbl> <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>
#> 1    50  45.8       15.9  69.6  82.3   10.2   14.5   52.0   9.62   14.2   44.5
#> # 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(ppiCOL2024, score == ppiScore)
#> # A tibble: 1 × 15
#>   score nl100 nl_extreme nl150 nl200 ppp215 ppp365 ppp685 ppp190 ppp320 ppp550
#>   <dbl> <dbl>      <dbl> <dbl> <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>
#> 1    50  45.8       15.9  69.6  82.3   10.2   14.5   52.0   9.62   14.2   44.5
#> # 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
  ppiCOL2024[ppiCOL2024$score == ppiScore, "nl100"]
#> # A tibble: 1 × 1
#>   nl100
#>   <dbl>
#> 1  45.8