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Poverty Probability Index (PPI) lookup table for Dominican Republic

Usage

ppiDOM2010

Format

A data frame with 11 columns and 101 rows:

score

PPI score

nl50

National poverty line (50%)

nl75

National poverty line (75%)

nl100

National poverty line (100%)

nl150

National poverty line (150%)

extreme

USAID extreme poverty

nl200

National poverty line (200%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

Examples

  # Access Dominican Republic PPI table
  ppiDOM2010
#>     score nl50 nl75 nl100 nl150 extreme nl200 ppp125 ppp250 ppp375 ppp500
#> 0       0 45.3 71.9  91.3 100.0    64.3 100.0   10.2   49.5   77.3  100.0
#> 1       1 45.3 71.9  91.3 100.0    64.3 100.0   10.2   49.5   77.3  100.0
#> 2       2 45.3 71.9  91.3 100.0    64.3 100.0   10.2   49.5   77.3  100.0
#> 3       3 45.3 71.9  91.3 100.0    64.3 100.0   10.2   49.5   77.3  100.0
#> 4       4 45.3 71.9  91.3 100.0    64.3 100.0   10.2   49.5   77.3  100.0
#> 5       5 32.6 80.1  95.5 100.0    72.7 100.0    1.9   61.7   89.2   97.5
#> 6       6 32.6 80.1  95.5 100.0    72.7 100.0    1.9   61.7   89.2   97.5
#> 7       7 32.6 80.1  95.5 100.0    72.7 100.0    1.9   61.7   89.2   97.5
#> 8       8 32.6 80.1  95.5 100.0    72.7 100.0    1.9   61.7   89.2   97.5
#> 9       9 32.6 80.1  95.5 100.0    72.7 100.0    1.9   61.7   89.2   97.5
#> 10     10 25.9 62.7  85.9  95.7    52.2  99.3    0.0   35.8   78.5   92.1
#> 11     11 25.9 62.7  85.9  95.7    52.2  99.3    0.0   35.8   78.5   92.1
#> 12     12 25.9 62.7  85.9  95.7    52.2  99.3    0.0   35.8   78.5   92.1
#> 13     13 25.9 62.7  85.9  95.7    52.2  99.3    0.0   35.8   78.5   92.1
#> 14     14 25.9 62.7  85.9  95.7    52.2  99.3    0.0   35.8   78.5   92.1
#> 15     15 20.1 57.9  77.4  91.8    49.7  97.7    2.8   32.1   72.8   85.6
#> 16     16 20.1 57.9  77.4  91.8    49.7  97.7    2.8   32.1   72.8   85.6
#> 17     17 20.1 57.9  77.4  91.8    49.7  97.7    2.8   32.1   72.8   85.6
#> 18     18 20.1 57.9  77.4  91.8    49.7  97.7    2.8   32.1   72.8   85.6
#> 19     19 20.1 57.9  77.4  91.8    49.7  97.7    2.8   32.1   72.8   85.6
#> 20     20 16.6 41.6  65.8  92.7    35.2  96.6    2.0   24.2   55.2   78.2
#> 21     21 16.6 41.6  65.8  92.7    35.2  96.6    2.0   24.2   55.2   78.2
#> 22     22 16.6 41.6  65.8  92.7    35.2  96.6    2.0   24.2   55.2   78.2
#> 23     23 16.6 41.6  65.8  92.7    35.2  96.6    2.0   24.2   55.2   78.2
#> 24     24 16.6 41.6  65.8  92.7    35.2  96.6    2.0   24.2   55.2   78.2
#> 25     25  9.3 30.2  53.6  82.9    23.3  91.2    1.6   15.5   42.7   68.0
#> 26     26  9.3 30.2  53.6  82.9    23.3  91.2    1.6   15.5   42.7   68.0
#> 27     27  9.3 30.2  53.6  82.9    23.3  91.2    1.6   15.5   42.7   68.0
#> 28     28  9.3 30.2  53.6  82.9    23.3  91.2    1.6   15.5   42.7   68.0
#> 29     29  9.3 30.2  53.6  82.9    23.3  91.2    1.6   15.5   42.7   68.0
#> 30     30  4.8 22.2  43.5  77.2    17.3  90.8    1.4    9.1   33.5   58.2
#> 31     31  4.8 22.2  43.5  77.2    17.3  90.8    1.4    9.1   33.5   58.2
#> 32     32  4.8 22.2  43.5  77.2    17.3  90.8    1.4    9.1   33.5   58.2
#> 33     33  4.8 22.2  43.5  77.2    17.3  90.8    1.4    9.1   33.5   58.2
#> 34     34  4.8 22.2  43.5  77.2    17.3  90.8    1.4    9.1   33.5   58.2
#> 35     35  3.8  9.4  27.9  66.1     6.7  84.2    0.4    4.5   18.6   45.4
#> 36     36  3.8  9.4  27.9  66.1     6.7  84.2    0.4    4.5   18.6   45.4
#> 37     37  3.8  9.4  27.9  66.1     6.7  84.2    0.4    4.5   18.6   45.4
#> 38     38  3.8  9.4  27.9  66.1     6.7  84.2    0.4    4.5   18.6   45.4
#> 39     39  3.8  9.4  27.9  66.1     6.7  84.2    0.4    4.5   18.6   45.4
#> 40     40  1.7  8.0  25.4  54.7     6.0  74.5    0.2    3.6   16.6   36.2
#> 41     41  1.7  8.0  25.4  54.7     6.0  74.5    0.2    3.6   16.6   36.2
#> 42     42  1.7  8.0  25.4  54.7     6.0  74.5    0.2    3.6   16.6   36.2
#> 43     43  1.7  8.0  25.4  54.7     6.0  74.5    0.2    3.6   16.6   36.2
#> 44     44  1.7  8.0  25.4  54.7     6.0  74.5    0.2    3.6   16.6   36.2
#> 45     45  1.1  5.1  14.1  40.1     4.6  60.9    0.0    2.2    7.1   22.3
#> 46     46  1.1  5.1  14.1  40.1     4.6  60.9    0.0    2.2    7.1   22.3
#> 47     47  1.1  5.1  14.1  40.1     4.6  60.9    0.0    2.2    7.1   22.3
#> 48     48  1.1  5.1  14.1  40.1     4.6  60.9    0.0    2.2    7.1   22.3
#> 49     49  1.1  5.1  14.1  40.1     4.6  60.9    0.0    2.2    7.1   22.3
#> 50     50  1.0  4.2   9.6  27.4     2.7  52.9    0.4    1.5    6.8   15.2
#> 51     51  1.0  4.2   9.6  27.4     2.7  52.9    0.4    1.5    6.8   15.2
#> 52     52  1.0  4.2   9.6  27.4     2.7  52.9    0.4    1.5    6.8   15.2
#> 53     53  1.0  4.2   9.6  27.4     2.7  52.9    0.4    1.5    6.8   15.2
#> 54     54  1.0  4.2   9.6  27.4     2.7  52.9    0.4    1.5    6.8   15.2
#> 55     55  0.0  0.0   3.7  17.7     0.0  33.6    0.0    0.0    1.6    6.4
#> 56     56  0.0  0.0   3.7  17.7     0.0  33.6    0.0    0.0    1.6    6.4
#> 57     57  0.0  0.0   3.7  17.7     0.0  33.6    0.0    0.0    1.6    6.4
#> 58     58  0.0  0.0   3.7  17.7     0.0  33.6    0.0    0.0    1.6    6.4
#> 59     59  0.0  0.0   3.7  17.7     0.0  33.6    0.0    0.0    1.6    6.4
#> 60     60  0.3  0.3   1.3  10.2     0.3  22.0    0.0    0.3    0.3    2.3
#> 61     61  0.3  0.3   1.3  10.2     0.3  22.0    0.0    0.3    0.3    2.3
#> 62     62  0.3  0.3   1.3  10.2     0.3  22.0    0.0    0.3    0.3    2.3
#> 63     63  0.3  0.3   1.3  10.2     0.3  22.0    0.0    0.3    0.3    2.3
#> 64     64  0.3  0.3   1.3  10.2     0.3  22.0    0.0    0.3    0.3    2.3
#> 65     65  0.0  1.9   5.4  15.5     1.9  34.4    0.0    0.0    3.5    9.2
#> 66     66  0.0  1.9   5.4  15.5     1.9  34.4    0.0    0.0    3.5    9.2
#> 67     67  0.0  1.9   5.4  15.5     1.9  34.4    0.0    0.0    3.5    9.2
#> 68     68  0.0  1.9   5.4  15.5     1.9  34.4    0.0    0.0    3.5    9.2
#> 69     69  0.0  1.9   5.4  15.5     1.9  34.4    0.0    0.0    3.5    9.2
#> 70     70  0.0  0.0   4.7  14.2     0.0  27.0    0.0    0.0    0.0    6.4
#> 71     71  0.0  0.0   4.7  14.2     0.0  27.0    0.0    0.0    0.0    6.4
#> 72     72  0.0  0.0   4.7  14.2     0.0  27.0    0.0    0.0    0.0    6.4
#> 73     73  0.0  0.0   4.7  14.2     0.0  27.0    0.0    0.0    0.0    6.4
#> 74     74  0.0  0.0   4.7  14.2     0.0  27.0    0.0    0.0    0.0    6.4
#> 75     75  0.0  0.0   2.5   4.6     0.0   8.7    0.0    0.0    0.0    3.0
#> 76     76  0.0  0.0   2.5   4.6     0.0   8.7    0.0    0.0    0.0    3.0
#> 77     77  0.0  0.0   2.5   4.6     0.0   8.7    0.0    0.0    0.0    3.0
#> 78     78  0.0  0.0   2.5   4.6     0.0   8.7    0.0    0.0    0.0    3.0
#> 79     79  0.0  0.0   2.5   4.6     0.0   8.7    0.0    0.0    0.0    3.0
#> 80     80  0.0  0.0   0.0   0.0     0.0   4.3    0.0    0.0    0.0    0.0
#> 81     81  0.0  0.0   0.0   0.0     0.0   4.3    0.0    0.0    0.0    0.0
#> 82     82  0.0  0.0   0.0   0.0     0.0   4.3    0.0    0.0    0.0    0.0
#> 83     83  0.0  0.0   0.0   0.0     0.0   4.3    0.0    0.0    0.0    0.0
#> 84     84  0.0  0.0   0.0   0.0     0.0   4.3    0.0    0.0    0.0    0.0
#> 85     85  0.0  0.0   0.0   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    0.0    0.0    0.0
#> 87     87  0.0  0.0   0.0   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    0.0    0.0    0.0
#> 89     89  0.0  0.0   0.0   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    0.0    0.0    0.0
#> 91     91  0.0  0.0   0.0   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    0.0    0.0    0.0
#> 93     93  0.0  0.0   0.0   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    0.0    0.0    0.0
#> 95     95  0.0  0.0   0.0   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    0.0    0.0    0.0
#> 97     97  0.0  0.0   0.0   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    0.0    0.0    0.0
#> 99     99  0.0  0.0   0.0   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    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
  ppiDOM2010[ppiDOM2010$score == ppiScore, ]
#>    score nl50 nl75 nl100 nl150 extreme nl200 ppp125 ppp250 ppp375 ppp500
#> 50    50    1  4.2   9.6  27.4     2.7  52.9    0.4    1.5    6.8   15.2

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiDOM2010, score == ppiScore)
#>    score nl50 nl75 nl100 nl150 extreme nl200 ppp125 ppp250 ppp375 ppp500
#> 50    50    1  4.2   9.6  27.4     2.7  52.9    0.4    1.5    6.8   15.2

  # 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
  ppiDOM2010[ppiDOM2010$score == ppiScore, "extreme"]
#> [1] 2.7