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Poverty Probability Index (PPI) lookup table for South Africa

Usage

ppiZAF2009

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nlFood

Food poverty line

extreme

USAID extreme poverty

nu100

National upper poverty line (100%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp400

Below $4.00 per day purchasing power parity (2005)

Examples

  # Access South Africa PPI table
  ppiZAF2009
#>     score nl100 nlFood extreme nu100 ppp125 ppp250 ppp400
#> 0       0  98.0   92.8    78.9 100.0   76.3   95.9  100.0
#> 1       1  98.0   92.8    78.9 100.0   76.3   95.9  100.0
#> 2       2  98.0   92.8    78.9 100.0   76.3   95.9  100.0
#> 3       3  98.0   92.8    78.9 100.0   76.3   95.9  100.0
#> 4       4  98.0   92.8    78.9 100.0   76.3   95.9  100.0
#> 5       5  95.1   87.8    77.5 100.0   55.6   92.9   97.6
#> 6       6  95.1   87.8    77.5 100.0   55.6   92.9   97.6
#> 7       7  95.1   87.8    77.5 100.0   55.6   92.9   97.6
#> 8       8  95.1   87.8    77.5 100.0   55.6   92.9   97.6
#> 9       9  95.1   87.8    77.5 100.0   55.6   92.9   97.6
#> 10     10  96.3   77.0    54.7  99.6   40.5   92.5   99.1
#> 11     11  96.3   77.0    54.7  99.6   40.5   92.5   99.1
#> 12     12  96.3   77.0    54.7  99.6   40.5   92.5   99.1
#> 13     13  96.3   77.0    54.7  99.6   40.5   92.5   99.1
#> 14     14  96.3   77.0    54.7  99.6   40.5   92.5   99.1
#> 15     15  91.8   69.3    51.4  98.6   30.2   82.9   96.7
#> 16     16  91.8   69.3    51.4  98.6   30.2   82.9   96.7
#> 17     17  91.8   69.3    51.4  98.6   30.2   82.9   96.7
#> 18     18  91.8   69.3    51.4  98.6   30.2   82.9   96.7
#> 19     19  91.8   69.3    51.4  98.6   30.2   82.9   96.7
#> 20     20  81.9   50.9    37.9  97.2   21.6   70.1   94.7
#> 21     21  81.9   50.9    37.9  97.2   21.6   70.1   94.7
#> 22     22  81.9   50.9    37.9  97.2   21.6   70.1   94.7
#> 23     23  81.9   50.9    37.9  97.2   21.6   70.1   94.7
#> 24     24  81.9   50.9    37.9  97.2   21.6   70.1   94.7
#> 25     25  72.9   38.3    29.5  93.8   12.6   60.2   89.6
#> 26     26  72.9   38.3    29.5  93.8   12.6   60.2   89.6
#> 27     27  72.9   38.3    29.5  93.8   12.6   60.2   89.6
#> 28     28  72.9   38.3    29.5  93.8   12.6   60.2   89.6
#> 29     29  72.9   38.3    29.5  93.8   12.6   60.2   89.6
#> 30     30  64.2   24.8    18.6  92.6    5.1   45.4   81.6
#> 31     31  64.2   24.8    18.6  92.6    5.1   45.4   81.6
#> 32     32  64.2   24.8    18.6  92.6    5.1   45.4   81.6
#> 33     33  64.2   24.8    18.6  92.6    5.1   45.4   81.6
#> 34     34  64.2   24.8    18.6  92.6    5.1   45.4   81.6
#> 35     35  39.3   15.5    12.6  77.2    4.4   28.5   58.4
#> 36     36  39.3   15.5    12.6  77.2    4.4   28.5   58.4
#> 37     37  39.3   15.5    12.6  77.2    4.4   28.5   58.4
#> 38     38  39.3   15.5    12.6  77.2    4.4   28.5   58.4
#> 39     39  39.3   15.5    12.6  77.2    4.4   28.5   58.4
#> 40     40  29.6   10.3     7.1  73.8    2.0   20.3   47.9
#> 41     41  29.6   10.3     7.1  73.8    2.0   20.3   47.9
#> 42     42  29.6   10.3     7.1  73.8    2.0   20.3   47.9
#> 43     43  29.6   10.3     7.1  73.8    2.0   20.3   47.9
#> 44     44  29.6   10.3     7.1  73.8    2.0   20.3   47.9
#> 45     45  18.0    4.8     3.2  53.9    1.0   10.4   36.1
#> 46     46  18.0    4.8     3.2  53.9    1.0   10.4   36.1
#> 47     47  18.0    4.8     3.2  53.9    1.0   10.4   36.1
#> 48     48  18.0    4.8     3.2  53.9    1.0   10.4   36.1
#> 49     49  18.0    4.8     3.2  53.9    1.0   10.4   36.1
#> 50     50   5.4    1.1     1.0  27.9    0.4    2.6   13.7
#> 51     51   5.4    1.1     1.0  27.9    0.4    2.6   13.7
#> 52     52   5.4    1.1     1.0  27.9    0.4    2.6   13.7
#> 53     53   5.4    1.1     1.0  27.9    0.4    2.6   13.7
#> 54     54   5.4    1.1     1.0  27.9    0.4    2.6   13.7
#> 55     55   4.2    0.1     0.1  24.3    0.0    1.1   10.4
#> 56     56   4.2    0.1     0.1  24.3    0.0    1.1   10.4
#> 57     57   4.2    0.1     0.1  24.3    0.0    1.1   10.4
#> 58     58   4.2    0.1     0.1  24.3    0.0    1.1   10.4
#> 59     59   4.2    0.1     0.1  24.3    0.0    1.1   10.4
#> 60     60   0.9    0.4     0.4  11.0    0.0    0.4    5.0
#> 61     61   0.9    0.4     0.4  11.0    0.0    0.4    5.0
#> 62     62   0.9    0.4     0.4  11.0    0.0    0.4    5.0
#> 63     63   0.9    0.4     0.4  11.0    0.0    0.4    5.0
#> 64     64   0.9    0.4     0.4  11.0    0.0    0.4    5.0
#> 65     65   0.1    0.0     0.0   4.7    0.0    0.1    0.4
#> 66     66   0.1    0.0     0.0   4.7    0.0    0.1    0.4
#> 67     67   0.1    0.0     0.0   4.7    0.0    0.1    0.4
#> 68     68   0.1    0.0     0.0   4.7    0.0    0.1    0.4
#> 69     69   0.1    0.0     0.0   4.7    0.0    0.1    0.4
#> 70     70   0.0    0.0     0.0   1.4    0.0    0.0    0.0
#> 71     71   0.0    0.0     0.0   1.4    0.0    0.0    0.0
#> 72     72   0.0    0.0     0.0   1.4    0.0    0.0    0.0
#> 73     73   0.0    0.0     0.0   1.4    0.0    0.0    0.0
#> 74     74   0.0    0.0     0.0   1.4    0.0    0.0    0.0
#> 75     75   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 76     76   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 77     77   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 78     78   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 79     79   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 80     80   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 81     81   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 82     82   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 83     83   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 84     84   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 85     85   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 86     86   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 87     87   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 88     88   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 89     89   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 90     90   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 91     91   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 92     92   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 93     93   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 94     94   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 95     95   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 96     96   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 97     97   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 98     98   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 99     99   0.0    0.0     0.0   0.0    0.0    0.0    0.0
#> 100   100   0.0    0.0     0.0   0.0    0.0    0.0    0.0

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiZAF2009[ppiZAF2009$score == ppiScore, ]
#>    score nl100 nlFood extreme nu100 ppp125 ppp250 ppp400
#> 50    50   5.4    1.1       1  27.9    0.4    2.6   13.7

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiZAF2009, score == ppiScore)
#>    score nl100 nlFood extreme nu100 ppp125 ppp250 ppp400
#> 50    50   5.4    1.1       1  27.9    0.4    2.6   13.7

  # 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
  ppiZAF2009[ppiZAF2009$score == ppiScore, "nl100"]
#> [1] 5.4