Poverty Probability Index (PPI) lookup table for Philippines using new poverty definitions
ppiPHL2014_a
A data frame with 11 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)
ppp500Below $5.00 per day purchasing power parity (2005)
ppp190Below $1.90 per day purchasing power parity (2011)
ppp310Below $3.10 per day purchasing power parity (2011)
# Access Philippines PPI table ppiPHL2014_a#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp500 ppp190 ppp310 #> 0 0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 1 1 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 2 2 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 3 3 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 4 4 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 5 5 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 6 6 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 7 7 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 8 8 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 9 9 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 #> 10 10 91.8 99.1 99.9 74.8 79.1 97.9 99.2 100.0 71.4 96.6 #> 11 11 91.8 99.1 99.9 74.8 79.1 97.9 99.2 100.0 71.4 96.6 #> 12 12 91.8 99.1 99.9 74.8 79.1 97.9 99.2 100.0 71.4 96.6 #> 13 13 91.8 99.1 99.9 74.8 79.1 97.9 99.2 100.0 71.4 96.6 #> 14 14 91.8 99.1 99.9 74.8 79.1 97.9 99.2 100.0 71.4 96.6 #> 15 15 88.6 98.7 99.9 62.3 69.6 97.0 98.9 100.0 56.5 94.5 #> 16 16 88.6 98.7 99.9 62.3 69.6 97.0 98.9 100.0 56.5 94.5 #> 17 17 88.6 98.7 99.9 62.3 69.6 97.0 98.9 100.0 56.5 94.5 #> 18 18 88.6 98.7 99.9 62.3 69.6 97.0 98.9 100.0 56.5 94.5 #> 19 19 88.6 98.7 99.9 62.3 69.6 97.0 98.9 100.0 56.5 94.5 #> 20 20 79.4 97.4 99.4 47.2 53.9 92.3 97.9 100.0 39.0 88.4 #> 21 21 79.4 97.4 99.4 47.2 53.9 92.3 97.9 100.0 39.0 88.4 #> 22 22 79.4 97.4 99.4 47.2 53.9 92.3 97.9 100.0 39.0 88.4 #> 23 23 79.4 97.4 99.4 47.2 53.9 92.3 97.9 100.0 39.0 88.4 #> 24 24 79.4 97.4 99.4 47.2 53.9 92.3 97.9 100.0 39.0 88.4 #> 25 25 64.2 91.5 98.1 28.1 33.8 82.1 92.8 99.9 23.4 75.8 #> 26 26 64.2 91.5 98.1 28.1 33.8 82.1 92.8 99.9 23.4 75.8 #> 27 27 64.2 91.5 98.1 28.1 33.8 82.1 92.8 99.9 23.4 75.8 #> 28 28 64.2 91.5 98.1 28.1 33.8 82.1 92.8 99.9 23.4 75.8 #> 29 29 64.2 91.5 98.1 28.1 33.8 82.1 92.8 99.9 23.4 75.8 #> 30 30 49.9 85.2 95.9 18.8 24.5 72.0 87.3 99.7 15.8 62.9 #> 31 31 49.9 85.2 95.9 18.8 24.5 72.0 87.3 99.7 15.8 62.9 #> 32 32 49.9 85.2 95.9 18.8 24.5 72.0 87.3 99.7 15.8 62.9 #> 33 33 49.9 85.2 95.9 18.8 24.5 72.0 87.3 99.7 15.8 62.9 #> 34 34 49.9 85.2 95.9 18.8 24.5 72.0 87.3 99.7 15.8 62.9 #> 35 35 32.9 75.0 92.6 10.4 13.6 56.2 78.5 99.1 8.2 46.6 #> 36 36 32.9 75.0 92.6 10.4 13.6 56.2 78.5 99.1 8.2 46.6 #> 37 37 32.9 75.0 92.6 10.4 13.6 56.2 78.5 99.1 8.2 46.6 #> 38 38 32.9 75.0 92.6 10.4 13.6 56.2 78.5 99.1 8.2 46.6 #> 39 39 32.9 75.0 92.6 10.4 13.6 56.2 78.5 99.1 8.2 46.6 #> 40 40 18.9 58.3 81.5 5.3 6.3 38.9 62.8 96.4 3.6 29.1 #> 41 41 18.9 58.3 81.5 5.3 6.3 38.9 62.8 96.4 3.6 29.1 #> 42 42 18.9 58.3 81.5 5.3 6.3 38.9 62.8 96.4 3.6 29.1 #> 43 43 18.9 58.3 81.5 5.3 6.3 38.9 62.8 96.4 3.6 29.1 #> 44 44 18.9 58.3 81.5 5.3 6.3 38.9 62.8 96.4 3.6 29.1 #> 45 45 9.4 38.7 65.7 2.5 2.9 21.9 42.6 91.4 1.8 16.0 #> 46 46 9.4 38.7 65.7 2.5 2.9 21.9 42.6 91.4 1.8 16.0 #> 47 47 9.4 38.7 65.7 2.5 2.9 21.9 42.6 91.4 1.8 16.0 #> 48 48 9.4 38.7 65.7 2.5 2.9 21.9 42.6 91.4 1.8 16.0 #> 49 49 9.4 38.7 65.7 2.5 2.9 21.9 42.6 91.4 1.8 16.0 #> 50 50 5.0 24.1 51.2 0.7 1.2 12.1 27.2 83.1 0.6 8.5 #> 51 51 5.0 24.1 51.2 0.7 1.2 12.1 27.2 83.1 0.6 8.5 #> 52 52 5.0 24.1 51.2 0.7 1.2 12.1 27.2 83.1 0.6 8.5 #> 53 53 5.0 24.1 51.2 0.7 1.2 12.1 27.2 83.1 0.6 8.5 #> 54 54 5.0 24.1 51.2 0.7 1.2 12.1 27.2 83.1 0.6 8.5 #> 55 55 1.5 12.3 31.6 0.1 0.2 5.3 14.3 69.2 0.1 3.3 #> 56 56 1.5 12.3 31.6 0.1 0.2 5.3 14.3 69.2 0.1 3.3 #> 57 57 1.5 12.3 31.6 0.1 0.2 5.3 14.3 69.2 0.1 3.3 #> 58 58 1.5 12.3 31.6 0.1 0.2 5.3 14.3 69.2 0.1 3.3 #> 59 59 1.5 12.3 31.6 0.1 0.2 5.3 14.3 69.2 0.1 3.3 #> 60 60 0.8 6.0 18.2 0.0 0.1 2.7 6.4 52.2 0.0 1.8 #> 61 61 0.8 6.0 18.2 0.0 0.1 2.7 6.4 52.2 0.0 1.8 #> 62 62 0.8 6.0 18.2 0.0 0.1 2.7 6.4 52.2 0.0 1.8 #> 63 63 0.8 6.0 18.2 0.0 0.1 2.7 6.4 52.2 0.0 1.8 #> 64 64 0.8 6.0 18.2 0.0 0.1 2.7 6.4 52.2 0.0 1.8 #> 65 65 0.2 2.5 10.1 0.0 0.0 0.7 3.2 37.1 0.0 0.6 #> 66 66 0.2 2.5 10.1 0.0 0.0 0.7 3.2 37.1 0.0 0.6 #> 67 67 0.2 2.5 10.1 0.0 0.0 0.7 3.2 37.1 0.0 0.6 #> 68 68 0.2 2.5 10.1 0.0 0.0 0.7 3.2 37.1 0.0 0.6 #> 69 69 0.2 2.5 10.1 0.0 0.0 0.7 3.2 37.1 0.0 0.6 #> 70 70 0.0 0.8 3.8 0.0 0.0 0.2 1.0 21.3 0.0 0.1 #> 71 71 0.0 0.8 3.8 0.0 0.0 0.2 1.0 21.3 0.0 0.1 #> 72 72 0.0 0.8 3.8 0.0 0.0 0.2 1.0 21.3 0.0 0.1 #> 73 73 0.0 0.8 3.8 0.0 0.0 0.2 1.0 21.3 0.0 0.1 #> 74 74 0.0 0.8 3.8 0.0 0.0 0.2 1.0 21.3 0.0 0.1 #> 75 75 0.0 0.6 1.7 0.0 0.0 0.1 0.7 13.1 0.0 0.1 #> 76 76 0.0 0.6 1.7 0.0 0.0 0.1 0.7 13.1 0.0 0.1 #> 77 77 0.0 0.6 1.7 0.0 0.0 0.1 0.7 13.1 0.0 0.1 #> 78 78 0.0 0.6 1.7 0.0 0.0 0.1 0.7 13.1 0.0 0.1 #> 79 79 0.0 0.6 1.7 0.0 0.0 0.1 0.7 13.1 0.0 0.1 #> 80 80 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.0 0.0 0.0 #> 81 81 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.0 0.0 0.0 #> 82 82 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.0 0.0 0.0 #> 83 83 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.0 0.0 0.0 #> 84 84 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.0 0.0 0.0 #> 85 85 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.3 0.0 0.0 #> 86 86 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.3 0.0 0.0 #> 87 87 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.3 0.0 0.0 #> 88 88 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.3 0.0 0.0 #> 89 89 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.3 0.0 0.0 #> [ reached getOption("max.print") -- omitted 11 rows ]# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiPHL2014_a[ppiPHL2014_a$score == ppiScore, ]#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp500 ppp190 ppp310 #> 50 50 5 24.1 51.2 0.7 1.2 12.1 27.2 83.1 0.6 8.5# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiPHL2014_a, score == ppiScore)#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp500 ppp190 ppp310 #> 50 50 5 24.1 51.2 0.7 1.2 12.1 27.2 83.1 0.6 8.5# 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 ppiPHL2014_a[ppiPHL2014_a$score == ppiScore, "nl100"]#> [1] 5