Poverty Probability Index (PPI) lookup table for Indonesia using legacy poverty definitions
Source:R/00_indonesia.R
ppiIDN2012.RdPoverty Probability Index (PPI) lookup table for Indonesia using legacy poverty definitions
Format
A data frame with 4 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
ppp125Below $1.25 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
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