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Poverty Probability Index (PPI) lookup table for Russia

Usage

ppiRUS2010

Format

A data frame with 4 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

extreme

USAID extreme poverty

ppp625

Below $6.25 per day purchasing power parity (2005)

Examples

  # Access Russia PPI table
  ppiRUS2010
#>     score nl100 extreme ppp625
#> 0       0 100.0   100.0  100.0
#> 1       1 100.0   100.0  100.0
#> 2       2 100.0   100.0  100.0
#> 3       3 100.0   100.0  100.0
#> 4       4 100.0   100.0  100.0
#> 5       5  88.8    81.9   81.4
#> 6       6  88.8    81.9   81.4
#> 7       7  88.8    81.9   81.4
#> 8       8  88.8    81.9   81.4
#> 9       9  88.8    81.9   81.4
#> 10     10  68.0    56.4   56.0
#> 11     11  68.0    56.4   56.0
#> 12     12  68.0    56.4   56.0
#> 13     13  68.0    56.4   56.0
#> 14     14  68.0    56.4   56.0
#> 15     15  72.7    42.0   49.3
#> 16     16  72.7    42.0   49.3
#> 17     17  72.7    42.0   49.3
#> 18     18  72.7    42.0   49.3
#> 19     19  72.7    42.0   49.3
#> 20     20  59.2    36.3   45.8
#> 21     21  59.2    36.3   45.8
#> 22     22  59.2    36.3   45.8
#> 23     23  59.2    36.3   45.8
#> 24     24  59.2    36.3   45.8
#> 25     25  41.5    26.9   27.2
#> 26     26  41.5    26.9   27.2
#> 27     27  41.5    26.9   27.2
#> 28     28  41.5    26.9   27.2
#> 29     29  41.5    26.9   27.2
#> 30     30  35.1    16.2   19.0
#> 31     31  35.1    16.2   19.0
#> 32     32  35.1    16.2   19.0
#> 33     33  35.1    16.2   19.0
#> 34     34  35.1    16.2   19.0
#> 35     35  23.5    10.2   11.6
#> 36     36  23.5    10.2   11.6
#> 37     37  23.5    10.2   11.6
#> 38     38  23.5    10.2   11.6
#> 39     39  23.5    10.2   11.6
#> 40     40  15.0     6.4    6.8
#> 41     41  15.0     6.4    6.8
#> 42     42  15.0     6.4    6.8
#> 43     43  15.0     6.4    6.8
#> 44     44  15.0     6.4    6.8
#> 45     45   8.8     3.4    3.1
#> 46     46   8.8     3.4    3.1
#> 47     47   8.8     3.4    3.1
#> 48     48   8.8     3.4    3.1
#> 49     49   8.8     3.4    3.1
#> 50     50   4.5     1.6    1.4
#> 51     51   4.5     1.6    1.4
#> 52     52   4.5     1.6    1.4
#> 53     53   4.5     1.6    1.4
#> 54     54   4.5     1.6    1.4
#> 55     55   2.4     0.9    0.6
#> 56     56   2.4     0.9    0.6
#> 57     57   2.4     0.9    0.6
#> 58     58   2.4     0.9    0.6
#> 59     59   2.4     0.9    0.6
#> 60     60   1.4     0.6    0.5
#> 61     61   1.4     0.6    0.5
#> 62     62   1.4     0.6    0.5
#> 63     63   1.4     0.6    0.5
#> 64     64   1.4     0.6    0.5
#> 65     65   0.5     0.2    0.1
#> 66     66   0.5     0.2    0.1
#> 67     67   0.5     0.2    0.1
#> 68     68   0.5     0.2    0.1
#> 69     69   0.5     0.2    0.1
#> 70     70   0.2     0.1    0.0
#> 71     71   0.2     0.1    0.0
#> 72     72   0.2     0.1    0.0
#> 73     73   0.2     0.1    0.0
#> 74     74   0.2     0.1    0.0
#> 75     75   0.5     0.5    0.0
#> 76     76   0.5     0.5    0.0
#> 77     77   0.5     0.5    0.0
#> 78     78   0.5     0.5    0.0
#> 79     79   0.5     0.5    0.0
#> 80     80   0.0     0.0    0.0
#> 81     81   0.0     0.0    0.0
#> 82     82   0.0     0.0    0.0
#> 83     83   0.0     0.0    0.0
#> 84     84   0.0     0.0    0.0
#> 85     85   0.0     0.0    0.0
#> 86     86   0.0     0.0    0.0
#> 87     87   0.0     0.0    0.0
#> 88     88   0.0     0.0    0.0
#> 89     89   0.0     0.0    0.0
#> 90     90   0.0     0.0    0.0
#> 91     91   0.0     0.0    0.0
#> 92     92   0.0     0.0    0.0
#> 93     93   0.0     0.0    0.0
#> 94     94   0.0     0.0    0.0
#> 95     95   0.0     0.0    0.0
#> 96     96   0.0     0.0    0.0
#> 97     97   0.0     0.0    0.0
#> 98     98   0.0     0.0    0.0
#> 99     99   0.0     0.0    0.0
#> 100   100   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
  ppiRUS2010[ppiRUS2010$score == ppiScore, ]
#>    score nl100 extreme ppp625
#> 50    50   4.5     1.6    1.4

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiRUS2010, score == ppiScore)
#>    score nl100 extreme ppp625
#> 50    50   4.5     1.6    1.4

  # 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
  ppiRUS2010[ppiRUS2010$score == ppiScore, "nl100"]
#> [1] 4.5