Poverty Probability Index (PPI) lookup table for Indonesia using legacy poverty definitions

ppiIDN2012

Format

A data frame with 4 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

www.povertyindex.org

Examples

# Access Indonesia PPI table ppiIDN2012
#> score nl100 ppp125 ppp250 #> 0 0 53.5 77.4 99.5 #> 1 1 53.5 77.4 99.5 #> 2 2 53.5 77.4 99.5 #> 3 3 53.5 77.4 99.5 #> 4 4 53.5 77.4 99.5 #> 5 5 44.3 72.1 99.0 #> 6 6 44.3 72.1 99.0 #> 7 7 44.3 72.1 99.0 #> 8 8 44.3 72.1 99.0 #> 9 9 44.3 72.1 99.0 #> 10 10 33.9 61.8 98.5 #> 11 11 33.9 61.8 98.5 #> 12 12 33.9 61.8 98.5 #> 13 13 33.9 61.8 98.5 #> 14 14 33.9 61.8 98.5 #> 15 15 22.3 49.9 97.0 #> 16 16 22.3 49.9 97.0 #> 17 17 22.3 49.9 97.0 #> 18 18 22.3 49.9 97.0 #> 19 19 22.3 49.9 97.0 #> 20 20 15.6 40.1 95.6 #> 21 21 15.6 40.1 95.6 #> 22 22 15.6 40.1 95.6 #> 23 23 15.6 40.1 95.6 #> 24 24 15.6 40.1 95.6 #> 25 25 9.6 28.8 92.0 #> 26 26 9.6 28.8 92.0 #> 27 27 9.6 28.8 92.0 #> 28 28 9.6 28.8 92.0 #> 29 29 9.6 28.8 92.0 #> 30 30 5.3 19.7 88.2 #> 31 31 5.3 19.7 88.2 #> 32 32 5.3 19.7 88.2 #> 33 33 5.3 19.7 88.2 #> 34 34 5.3 19.7 88.2 #> 35 35 2.6 12.0 80.8 #> 36 36 2.6 12.0 80.8 #> 37 37 2.6 12.0 80.8 #> 38 38 2.6 12.0 80.8 #> 39 39 2.6 12.0 80.8 #> 40 40 1.4 6.8 69.6 #> 41 41 1.4 6.8 69.6 #> 42 42 1.4 6.8 69.6 #> 43 43 1.4 6.8 69.6 #> 44 44 1.4 6.8 69.6 #> 45 45 0.7 3.5 56.2 #> 46 46 0.7 3.5 56.2 #> 47 47 0.7 3.5 56.2 #> 48 48 0.7 3.5 56.2 #> 49 49 0.7 3.5 56.2 #> 50 50 0.3 1.7 42.0 #> 51 51 0.3 1.7 42.0 #> 52 52 0.3 1.7 42.0 #> 53 53 0.3 1.7 42.0 #> 54 54 0.3 1.7 42.0 #> 55 55 0.1 0.9 28.3 #> 56 56 0.1 0.9 28.3 #> 57 57 0.1 0.9 28.3 #> 58 58 0.1 0.9 28.3 #> 59 59 0.1 0.9 28.3 #> 60 60 0.1 0.4 19.4 #> 61 61 0.1 0.4 19.4 #> 62 62 0.1 0.4 19.4 #> 63 63 0.1 0.4 19.4 #> 64 64 0.1 0.4 19.4 #> 65 65 0.0 0.1 10.7 #> 66 66 0.0 0.1 10.7 #> 67 67 0.0 0.1 10.7 #> 68 68 0.0 0.1 10.7 #> 69 69 0.0 0.1 10.7 #> 70 70 0.0 0.1 8.1 #> 71 71 0.0 0.1 8.1 #> 72 72 0.0 0.1 8.1 #> 73 73 0.0 0.1 8.1 #> 74 74 0.0 0.1 8.1 #> 75 75 0.0 0.1 4.0 #> 76 76 0.0 0.1 4.0 #> 77 77 0.0 0.1 4.0 #> 78 78 0.0 0.1 4.0 #> 79 79 0.0 0.1 4.0 #> 80 80 0.0 0.0 1.3 #> 81 81 0.0 0.0 1.3 #> 82 82 0.0 0.0 1.3 #> 83 83 0.0 0.0 1.3 #> 84 84 0.0 0.0 1.3 #> 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 ppiIDN2012[ppiIDN2012$score == ppiScore, ]
#> score nl100 ppp125 ppp250 #> 50 50 0.3 1.7 42
# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiIDN2012, score == ppiScore)
#> score nl100 ppp125 ppp250 #> 50 50 0.3 1.7 42
# Given a specific PPI score (from 0 - 100), get a poverty probability # based on a specific poverty definition. In this example, the national # poverty line definition ppiScore <- 50 ppiIDN2012[ppiIDN2012$score == ppiScore, "nl100"]
#> [1] 0.3