Poverty Probability Index (PPI) lookup table for Fiji
ppiFJI2014
A data frame with 8 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
medianPoorest half below 100% national
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)
# Access Fiji PPI table ppiFJI2014#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 #> 0 0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 1 1 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 2 2 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 3 3 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 4 4 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 5 5 84.6 100.0 100.0 71.4 71.4 82.8 93.7 #> 6 6 84.6 100.0 100.0 71.4 71.4 82.8 93.7 #> 7 7 84.6 100.0 100.0 71.4 71.4 82.8 93.7 #> 8 8 84.6 100.0 100.0 71.4 71.4 82.8 93.7 #> 9 9 84.6 100.0 100.0 71.4 71.4 82.8 93.7 #> 10 10 84.6 100.0 100.0 67.6 44.5 80.4 93.7 #> 11 11 84.6 100.0 100.0 67.6 44.5 80.4 93.7 #> 12 12 84.6 100.0 100.0 67.6 44.5 80.4 93.7 #> 13 13 84.6 100.0 100.0 67.6 44.5 80.4 93.7 #> 14 14 84.6 100.0 100.0 67.6 44.5 80.4 93.7 #> 15 15 84.3 98.2 99.1 58.3 21.5 62.1 78.6 #> 16 16 84.3 98.2 99.1 58.3 21.5 62.1 78.6 #> 17 17 84.3 98.2 99.1 58.3 21.5 62.1 78.6 #> 18 18 84.3 98.2 99.1 58.3 21.5 62.1 78.6 #> 19 19 84.3 98.2 99.1 58.3 21.5 62.1 78.6 #> 20 20 76.3 91.9 97.6 51.1 18.0 53.8 69.8 #> 21 21 76.3 91.9 97.6 51.1 18.0 53.8 69.8 #> 22 22 76.3 91.9 97.6 51.1 18.0 53.8 69.8 #> 23 23 76.3 91.9 97.6 51.1 18.0 53.8 69.8 #> 24 24 76.3 91.9 97.6 51.1 18.0 53.8 69.8 #> 25 25 59.1 87.4 95.6 31.6 5.9 34.2 57.1 #> 26 26 59.1 87.4 95.6 31.6 5.9 34.2 57.1 #> 27 27 59.1 87.4 95.6 31.6 5.9 34.2 57.1 #> 28 28 59.1 87.4 95.6 31.6 5.9 34.2 57.1 #> 29 29 59.1 87.4 95.6 31.6 5.9 34.2 57.1 #> 30 30 52.1 84.8 94.1 24.6 4.6 28.1 49.3 #> 31 31 52.1 84.8 94.1 24.6 4.6 28.1 49.3 #> 32 32 52.1 84.8 94.1 24.6 4.6 28.1 49.3 #> 33 33 52.1 84.8 94.1 24.6 4.6 28.1 49.3 #> 34 34 52.1 84.8 94.1 24.6 4.6 28.1 49.3 #> 35 35 40.6 75.2 89.3 16.3 1.7 18.0 30.5 #> 36 36 40.6 75.2 89.3 16.3 1.7 18.0 30.5 #> 37 37 40.6 75.2 89.3 16.3 1.7 18.0 30.5 #> 38 38 40.6 75.2 89.3 16.3 1.7 18.0 30.5 #> 39 39 40.6 75.2 89.3 16.3 1.7 18.0 30.5 #> 40 40 24.1 60.2 81.1 7.2 0.0 9.2 19.4 #> 41 41 24.1 60.2 81.1 7.2 0.0 9.2 19.4 #> 42 42 24.1 60.2 81.1 7.2 0.0 9.2 19.4 #> 43 43 24.1 60.2 81.1 7.2 0.0 9.2 19.4 #> 44 44 24.1 60.2 81.1 7.2 0.0 9.2 19.4 #> 45 45 17.3 45.8 68.6 3.4 0.0 2.5 11.0 #> 46 46 17.3 45.8 68.6 3.4 0.0 2.5 11.0 #> 47 47 17.3 45.8 68.6 3.4 0.0 2.5 11.0 #> 48 48 17.3 45.8 68.6 3.4 0.0 2.5 11.0 #> 49 49 17.3 45.8 68.6 3.4 0.0 2.5 11.0 #> 50 50 11.9 37.1 59.5 1.1 0.0 1.6 5.6 #> 51 51 11.9 37.1 59.5 1.1 0.0 1.6 5.6 #> 52 52 11.9 37.1 59.5 1.1 0.0 1.6 5.6 #> 53 53 11.9 37.1 59.5 1.1 0.0 1.6 5.6 #> 54 54 11.9 37.1 59.5 1.1 0.0 1.6 5.6 #> 55 55 5.9 23.9 48.8 0.8 0.0 0.6 3.9 #> 56 56 5.9 23.9 48.8 0.8 0.0 0.6 3.9 #> 57 57 5.9 23.9 48.8 0.8 0.0 0.6 3.9 #> 58 58 5.9 23.9 48.8 0.8 0.0 0.6 3.9 #> 59 59 5.9 23.9 48.8 0.8 0.0 0.6 3.9 #> 60 60 1.8 12.6 29.4 0.3 0.0 0.2 2.2 #> 61 61 1.8 12.6 29.4 0.3 0.0 0.2 2.2 #> 62 62 1.8 12.6 29.4 0.3 0.0 0.2 2.2 #> 63 63 1.8 12.6 29.4 0.3 0.0 0.2 2.2 #> 64 64 1.8 12.6 29.4 0.3 0.0 0.2 2.2 #> 65 65 0.4 7.0 14.5 0.0 0.0 0.0 0.6 #> 66 66 0.4 7.0 14.5 0.0 0.0 0.0 0.6 #> 67 67 0.4 7.0 14.5 0.0 0.0 0.0 0.6 #> 68 68 0.4 7.0 14.5 0.0 0.0 0.0 0.6 #> 69 69 0.4 7.0 14.5 0.0 0.0 0.0 0.6 #> 70 70 0.0 1.6 8.3 0.0 0.0 0.0 0.0 #> 71 71 0.0 1.6 8.3 0.0 0.0 0.0 0.0 #> 72 72 0.0 1.6 8.3 0.0 0.0 0.0 0.0 #> 73 73 0.0 1.6 8.3 0.0 0.0 0.0 0.0 #> 74 74 0.0 1.6 8.3 0.0 0.0 0.0 0.0 #> 75 75 0.0 0.0 3.7 0.0 0.0 0.0 0.0 #> 76 76 0.0 0.0 3.7 0.0 0.0 0.0 0.0 #> 77 77 0.0 0.0 3.7 0.0 0.0 0.0 0.0 #> 78 78 0.0 0.0 3.7 0.0 0.0 0.0 0.0 #> 79 79 0.0 0.0 3.7 0.0 0.0 0.0 0.0 #> 80 80 0.0 0.0 2.7 0.0 0.0 0.0 0.0 #> 81 81 0.0 0.0 2.7 0.0 0.0 0.0 0.0 #> 82 82 0.0 0.0 2.7 0.0 0.0 0.0 0.0 #> 83 83 0.0 0.0 2.7 0.0 0.0 0.0 0.0 #> 84 84 0.0 0.0 2.7 0.0 0.0 0.0 0.0 #> 85 85 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 #> 87 87 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 #> 89 89 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 #> 91 91 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 #> 93 93 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 #> 95 95 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 #> 97 97 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 #> 99 99 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# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiFJI2014[ppiFJI2014$score == ppiScore, ]#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 #> 50 50 11.9 37.1 59.5 1.1 0 1.6 5.6# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiFJI2014, score == ppiScore)#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 #> 50 50 11.9 37.1 59.5 1.1 0 1.6 5.6# 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 ppiFJI2014[ppiFJI2014$score == ppiScore, "nl100"]#> [1] 11.9