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Poverty Probability Index (PPI) lookup table for Fiji

Usage

ppiFJI2014

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

median

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Examples

  # Access Fiji PPI table
  ppiFJI2014
#>     score nl100 nl150 nl200 median ppp125 ppp200 ppp250
#> 0       0 100.0 100.0 100.0  100.0  100.0  100.0  100.0
#> 1       1 100.0 100.0 100.0  100.0  100.0  100.0  100.0
#> 2       2 100.0 100.0 100.0  100.0  100.0  100.0  100.0
#> 3       3 100.0 100.0 100.0  100.0  100.0  100.0  100.0
#> 4       4 100.0 100.0 100.0  100.0  100.0  100.0  100.0
#> 5       5  84.6 100.0 100.0   71.4   71.4   82.8   93.7
#> 6       6  84.6 100.0 100.0   71.4   71.4   82.8   93.7
#> 7       7  84.6 100.0 100.0   71.4   71.4   82.8   93.7
#> 8       8  84.6 100.0 100.0   71.4   71.4   82.8   93.7
#> 9       9  84.6 100.0 100.0   71.4   71.4   82.8   93.7
#> 10     10  84.6 100.0 100.0   67.6   44.5   80.4   93.7
#> 11     11  84.6 100.0 100.0   67.6   44.5   80.4   93.7
#> 12     12  84.6 100.0 100.0   67.6   44.5   80.4   93.7
#> 13     13  84.6 100.0 100.0   67.6   44.5   80.4   93.7
#> 14     14  84.6 100.0 100.0   67.6   44.5   80.4   93.7
#> 15     15  84.3  98.2  99.1   58.3   21.5   62.1   78.6
#> 16     16  84.3  98.2  99.1   58.3   21.5   62.1   78.6
#> 17     17  84.3  98.2  99.1   58.3   21.5   62.1   78.6
#> 18     18  84.3  98.2  99.1   58.3   21.5   62.1   78.6
#> 19     19  84.3  98.2  99.1   58.3   21.5   62.1   78.6
#> 20     20  76.3  91.9  97.6   51.1   18.0   53.8   69.8
#> 21     21  76.3  91.9  97.6   51.1   18.0   53.8   69.8
#> 22     22  76.3  91.9  97.6   51.1   18.0   53.8   69.8
#> 23     23  76.3  91.9  97.6   51.1   18.0   53.8   69.8
#> 24     24  76.3  91.9  97.6   51.1   18.0   53.8   69.8
#> 25     25  59.1  87.4  95.6   31.6    5.9   34.2   57.1
#> 26     26  59.1  87.4  95.6   31.6    5.9   34.2   57.1
#> 27     27  59.1  87.4  95.6   31.6    5.9   34.2   57.1
#> 28     28  59.1  87.4  95.6   31.6    5.9   34.2   57.1
#> 29     29  59.1  87.4  95.6   31.6    5.9   34.2   57.1
#> 30     30  52.1  84.8  94.1   24.6    4.6   28.1   49.3
#> 31     31  52.1  84.8  94.1   24.6    4.6   28.1   49.3
#> 32     32  52.1  84.8  94.1   24.6    4.6   28.1   49.3
#> 33     33  52.1  84.8  94.1   24.6    4.6   28.1   49.3
#> 34     34  52.1  84.8  94.1   24.6    4.6   28.1   49.3
#> 35     35  40.6  75.2  89.3   16.3    1.7   18.0   30.5
#> 36     36  40.6  75.2  89.3   16.3    1.7   18.0   30.5
#> 37     37  40.6  75.2  89.3   16.3    1.7   18.0   30.5
#> 38     38  40.6  75.2  89.3   16.3    1.7   18.0   30.5
#> 39     39  40.6  75.2  89.3   16.3    1.7   18.0   30.5
#> 40     40  24.1  60.2  81.1    7.2    0.0    9.2   19.4
#> 41     41  24.1  60.2  81.1    7.2    0.0    9.2   19.4
#> 42     42  24.1  60.2  81.1    7.2    0.0    9.2   19.4
#> 43     43  24.1  60.2  81.1    7.2    0.0    9.2   19.4
#> 44     44  24.1  60.2  81.1    7.2    0.0    9.2   19.4
#> 45     45  17.3  45.8  68.6    3.4    0.0    2.5   11.0
#> 46     46  17.3  45.8  68.6    3.4    0.0    2.5   11.0
#> 47     47  17.3  45.8  68.6    3.4    0.0    2.5   11.0
#> 48     48  17.3  45.8  68.6    3.4    0.0    2.5   11.0
#> 49     49  17.3  45.8  68.6    3.4    0.0    2.5   11.0
#> 50     50  11.9  37.1  59.5    1.1    0.0    1.6    5.6
#> 51     51  11.9  37.1  59.5    1.1    0.0    1.6    5.6
#> 52     52  11.9  37.1  59.5    1.1    0.0    1.6    5.6
#> 53     53  11.9  37.1  59.5    1.1    0.0    1.6    5.6
#> 54     54  11.9  37.1  59.5    1.1    0.0    1.6    5.6
#> 55     55   5.9  23.9  48.8    0.8    0.0    0.6    3.9
#> 56     56   5.9  23.9  48.8    0.8    0.0    0.6    3.9
#> 57     57   5.9  23.9  48.8    0.8    0.0    0.6    3.9
#> 58     58   5.9  23.9  48.8    0.8    0.0    0.6    3.9
#> 59     59   5.9  23.9  48.8    0.8    0.0    0.6    3.9
#> 60     60   1.8  12.6  29.4    0.3    0.0    0.2    2.2
#> 61     61   1.8  12.6  29.4    0.3    0.0    0.2    2.2
#> 62     62   1.8  12.6  29.4    0.3    0.0    0.2    2.2
#> 63     63   1.8  12.6  29.4    0.3    0.0    0.2    2.2
#> 64     64   1.8  12.6  29.4    0.3    0.0    0.2    2.2
#> 65     65   0.4   7.0  14.5    0.0    0.0    0.0    0.6
#> 66     66   0.4   7.0  14.5    0.0    0.0    0.0    0.6
#> 67     67   0.4   7.0  14.5    0.0    0.0    0.0    0.6
#> 68     68   0.4   7.0  14.5    0.0    0.0    0.0    0.6
#> 69     69   0.4   7.0  14.5    0.0    0.0    0.0    0.6
#> 70     70   0.0   1.6   8.3    0.0    0.0    0.0    0.0
#> 71     71   0.0   1.6   8.3    0.0    0.0    0.0    0.0
#> 72     72   0.0   1.6   8.3    0.0    0.0    0.0    0.0
#> 73     73   0.0   1.6   8.3    0.0    0.0    0.0    0.0
#> 74     74   0.0   1.6   8.3    0.0    0.0    0.0    0.0
#> 75     75   0.0   0.0   3.7    0.0    0.0    0.0    0.0
#> 76     76   0.0   0.0   3.7    0.0    0.0    0.0    0.0
#> 77     77   0.0   0.0   3.7    0.0    0.0    0.0    0.0
#> 78     78   0.0   0.0   3.7    0.0    0.0    0.0    0.0
#> 79     79   0.0   0.0   3.7    0.0    0.0    0.0    0.0
#> 80     80   0.0   0.0   2.7    0.0    0.0    0.0    0.0
#> 81     81   0.0   0.0   2.7    0.0    0.0    0.0    0.0
#> 82     82   0.0   0.0   2.7    0.0    0.0    0.0    0.0
#> 83     83   0.0   0.0   2.7    0.0    0.0    0.0    0.0
#> 84     84   0.0   0.0   2.7    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
  ppiFJI2014[ppiFJI2014$score == ppiScore, ]
#>    score nl100 nl150 nl200 median ppp125 ppp200 ppp250
#> 50    50  11.9  37.1  59.5    1.1      0    1.6    5.6

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiFJI2014, score == ppiScore)
#>    score nl100 nl150 nl200 median ppp125 ppp200 ppp250
#> 50    50  11.9  37.1  59.5    1.1      0    1.6    5.6

  # 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
  ppiFJI2014[ppiFJI2014$score == ppiScore, "nl100"]
#> [1] 11.9