Poverty Probability Index (PPI) lookup table for Cambodia
ppiKHM2015_gov
A data frame with 9 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
medianMedian poverty line
ppp125Below $1.25 per day purchasing power parity (2005)
ppp200Below $2.00 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
ppp500Below $5.00 per day purchasing power parity (2005)
# Access Cambodia PPI table ppiKHM2015_gov#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp500 #> 0 0 100.0 100.0 100.0 55.8 41.4 100.0 100.0 100.0 #> 1 1 100.0 100.0 100.0 55.8 41.4 100.0 100.0 100.0 #> 2 2 100.0 100.0 100.0 55.8 41.4 100.0 100.0 100.0 #> 3 3 100.0 100.0 100.0 55.8 41.4 100.0 100.0 100.0 #> 4 4 100.0 100.0 100.0 55.8 41.4 100.0 100.0 100.0 #> 5 5 91.9 97.8 100.0 55.8 41.4 91.9 95.4 100.0 #> 6 6 91.9 97.8 100.0 55.8 41.4 91.9 95.4 100.0 #> 7 7 91.9 97.8 100.0 55.8 41.4 91.9 95.4 100.0 #> 8 8 91.9 97.8 100.0 55.8 41.4 91.9 95.4 100.0 #> 9 9 91.9 97.8 100.0 55.8 41.4 91.9 95.4 100.0 #> 10 10 74.5 95.8 100.0 55.8 26.4 80.8 91.3 100.0 #> 11 11 74.5 95.8 100.0 55.8 26.4 80.8 91.3 100.0 #> 12 12 74.5 95.8 100.0 55.8 26.4 80.8 91.3 100.0 #> 13 13 74.5 95.8 100.0 55.8 26.4 80.8 91.3 100.0 #> 14 14 74.5 95.8 100.0 55.8 26.4 80.8 91.3 100.0 #> 15 15 59.8 95.8 100.0 31.7 11.8 64.3 88.0 100.0 #> 16 16 59.8 95.8 100.0 31.7 11.8 64.3 88.0 100.0 #> 17 17 59.8 95.8 100.0 31.7 11.8 64.3 88.0 100.0 #> 18 18 59.8 95.8 100.0 31.7 11.8 64.3 88.0 100.0 #> 19 19 59.8 95.8 100.0 31.7 11.8 64.3 88.0 100.0 #> 20 20 50.5 94.8 100.0 25.8 10.0 59.7 87.3 100.0 #> 21 21 50.5 94.8 100.0 25.8 10.0 59.7 87.3 100.0 #> 22 22 50.5 94.8 100.0 25.8 10.0 59.7 87.3 100.0 #> 23 23 50.5 94.8 100.0 25.8 10.0 59.7 87.3 100.0 #> 24 24 50.5 94.8 100.0 25.8 10.0 59.7 87.3 100.0 #> 25 25 41.4 87.3 96.0 23.1 9.6 54.9 80.3 99.7 #> 26 26 41.4 87.3 96.0 23.1 9.6 54.9 80.3 99.7 #> 27 27 41.4 87.3 96.0 23.1 9.6 54.9 80.3 99.7 #> 28 28 41.4 87.3 96.0 23.1 9.6 54.9 80.3 99.7 #> 29 29 41.4 87.3 96.0 23.1 9.6 54.9 80.3 99.7 #> 30 30 29.7 80.5 95.1 15.1 6.3 38.4 75.1 98.5 #> 31 31 29.7 80.5 95.1 15.1 6.3 38.4 75.1 98.5 #> 32 32 29.7 80.5 95.1 15.1 6.3 38.4 75.1 98.5 #> 33 33 29.7 80.5 95.1 15.1 6.3 38.4 75.1 98.5 #> 34 34 29.7 80.5 95.1 15.1 6.3 38.4 75.1 98.5 #> 35 35 21.0 66.4 92.3 8.0 1.0 27.3 58.3 97.6 #> 36 36 21.0 66.4 92.3 8.0 1.0 27.3 58.3 97.6 #> 37 37 21.0 66.4 92.3 8.0 1.0 27.3 58.3 97.6 #> 38 38 21.0 66.4 92.3 8.0 1.0 27.3 58.3 97.6 #> 39 39 21.0 66.4 92.3 8.0 1.0 27.3 58.3 97.6 #> 40 40 9.3 54.0 86.5 3.2 0.7 16.1 44.8 96.7 #> 41 41 9.3 54.0 86.5 3.2 0.7 16.1 44.8 96.7 #> 42 42 9.3 54.0 86.5 3.2 0.7 16.1 44.8 96.7 #> 43 43 9.3 54.0 86.5 3.2 0.7 16.1 44.8 96.7 #> 44 44 9.3 54.0 86.5 3.2 0.7 16.1 44.8 96.7 #> 45 45 7.9 41.6 75.0 2.3 0.3 10.9 31.1 93.5 #> 46 46 7.9 41.6 75.0 2.3 0.3 10.9 31.1 93.5 #> 47 47 7.9 41.6 75.0 2.3 0.3 10.9 31.1 93.5 #> 48 48 7.9 41.6 75.0 2.3 0.3 10.9 31.1 93.5 #> 49 49 7.9 41.6 75.0 2.3 0.3 10.9 31.1 93.5 #> 50 50 4.7 35.8 68.9 2.0 0.1 8.1 25.2 90.6 #> 51 51 4.7 35.8 68.9 2.0 0.1 8.1 25.2 90.6 #> 52 52 4.7 35.8 68.9 2.0 0.1 8.1 25.2 90.6 #> 53 53 4.7 35.8 68.9 2.0 0.1 8.1 25.2 90.6 #> 54 54 4.7 35.8 68.9 2.0 0.1 8.1 25.2 90.6 #> 55 55 3.2 24.1 54.2 0.5 0.1 5.1 16.5 82.8 #> 56 56 3.2 24.1 54.2 0.5 0.1 5.1 16.5 82.8 #> 57 57 3.2 24.1 54.2 0.5 0.1 5.1 16.5 82.8 #> 58 58 3.2 24.1 54.2 0.5 0.1 5.1 16.5 82.8 #> 59 59 3.2 24.1 54.2 0.5 0.1 5.1 16.5 82.8 #> 60 60 1.3 17.5 49.6 0.5 0.0 1.9 7.9 78.9 #> 61 61 1.3 17.5 49.6 0.5 0.0 1.9 7.9 78.9 #> 62 62 1.3 17.5 49.6 0.5 0.0 1.9 7.9 78.9 #> 63 63 1.3 17.5 49.6 0.5 0.0 1.9 7.9 78.9 #> 64 64 1.3 17.5 49.6 0.5 0.0 1.9 7.9 78.9 #> 65 65 1.1 9.3 34.4 0.4 0.0 1.6 6.3 68.8 #> 66 66 1.1 9.3 34.4 0.4 0.0 1.6 6.3 68.8 #> 67 67 1.1 9.3 34.4 0.4 0.0 1.6 6.3 68.8 #> 68 68 1.1 9.3 34.4 0.4 0.0 1.6 6.3 68.8 #> 69 69 1.1 9.3 34.4 0.4 0.0 1.6 6.3 68.8 #> 70 70 0.0 4.2 18.7 0.0 0.0 0.0 0.6 51.7 #> 71 71 0.0 4.2 18.7 0.0 0.0 0.0 0.6 51.7 #> 72 72 0.0 4.2 18.7 0.0 0.0 0.0 0.6 51.7 #> 73 73 0.0 4.2 18.7 0.0 0.0 0.0 0.6 51.7 #> 74 74 0.0 4.2 18.7 0.0 0.0 0.0 0.6 51.7 #> 75 75 0.0 1.1 12.2 0.0 0.0 0.0 0.0 50.8 #> 76 76 0.0 1.1 12.2 0.0 0.0 0.0 0.0 50.8 #> 77 77 0.0 1.1 12.2 0.0 0.0 0.0 0.0 50.8 #> 78 78 0.0 1.1 12.2 0.0 0.0 0.0 0.0 50.8 #> 79 79 0.0 1.1 12.2 0.0 0.0 0.0 0.0 50.8 #> 80 80 0.0 0.0 9.2 0.0 0.0 0.0 0.0 45.4 #> 81 81 0.0 0.0 9.2 0.0 0.0 0.0 0.0 45.4 #> 82 82 0.0 0.0 9.2 0.0 0.0 0.0 0.0 45.4 #> 83 83 0.0 0.0 9.2 0.0 0.0 0.0 0.0 45.4 #> 84 84 0.0 0.0 9.2 0.0 0.0 0.0 0.0 45.4 #> 85 85 0.0 0.0 8.8 0.0 0.0 0.0 0.0 33.8 #> 86 86 0.0 0.0 8.8 0.0 0.0 0.0 0.0 33.8 #> 87 87 0.0 0.0 8.8 0.0 0.0 0.0 0.0 33.8 #> 88 88 0.0 0.0 8.8 0.0 0.0 0.0 0.0 33.8 #> 89 89 0.0 0.0 8.8 0.0 0.0 0.0 0.0 33.8 #> 90 90 0.0 0.0 6.8 0.0 0.0 0.0 0.0 29.1 #> 91 91 0.0 0.0 6.8 0.0 0.0 0.0 0.0 29.1 #> 92 92 0.0 0.0 6.8 0.0 0.0 0.0 0.0 29.1 #> 93 93 0.0 0.0 6.8 0.0 0.0 0.0 0.0 29.1 #> 94 94 0.0 0.0 6.8 0.0 0.0 0.0 0.0 29.1 #> 95 95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29.1 #> 96 96 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29.1 #> 97 97 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29.1 #> 98 98 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29.1 #> 99 99 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29.1 #> 100 100 0.0 0.0 0.0 0.0 0.0 0.0 0.0 29.1# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiKHM2015_gov[ppiKHM2015_gov$score == ppiScore, ]#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp500 #> 50 50 4.7 35.8 68.9 2 0.1 8.1 25.2 90.6# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiKHM2015_gov, score == ppiScore)#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp500 #> 50 50 4.7 35.8 68.9 2 0.1 8.1 25.2 90.6# 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 ppiKHM2015_gov[ppiKHM2015_gov$score == ppiScore, "nl100"]#> [1] 4.7