Poverty Probability Index (PPI) lookup table for Jordan
ppiJOR2010
A data frame with 10 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
nl250National poverty line (250%)
extremeUSAID extreme poverty
ppp125Below $1.25 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
ppp375Below $3.75 per day purchasing power parity (2005)
ppp500Below $5.00 per day purchasing power parity (2005)
# Access Jordan PPI table ppiJOR2010#> score nl100 nl150 nl200 nl250 extreme ppp125 ppp250 ppp375 ppp500 #> 1 0 86.7 100.0 100.0 100.0 85.7 21.8 85.7 100.0 100.0 #> 2 1 86.7 100.0 100.0 100.0 85.7 21.8 85.7 100.0 100.0 #> 3 2 86.7 100.0 100.0 100.0 85.7 21.8 85.7 100.0 100.0 #> 4 3 86.7 100.0 100.0 100.0 85.7 21.8 85.7 100.0 100.0 #> 5 4 86.7 100.0 100.0 100.0 85.7 21.8 85.7 100.0 100.0 #> 6 5 65.7 94.4 99.2 100.0 44.7 2.7 51.6 90.4 96.6 #> 7 6 65.7 94.4 99.2 100.0 44.7 2.7 51.6 90.4 96.6 #> 8 7 65.7 94.4 99.2 100.0 44.7 2.7 51.6 90.4 96.6 #> 9 8 65.7 94.4 99.2 100.0 44.7 2.7 51.6 90.4 96.6 #> 10 9 65.7 94.4 99.2 100.0 44.7 2.7 51.6 90.4 96.6 #> 11 10 63.7 86.9 97.8 99.2 42.7 1.2 46.6 78.7 93.4 #> 12 11 63.7 86.9 97.8 99.2 42.7 1.2 46.6 78.7 93.4 #> 13 12 63.7 86.9 97.8 99.2 42.7 1.2 46.6 78.7 93.4 #> 14 13 63.7 86.9 97.8 99.2 42.7 1.2 46.6 78.7 93.4 #> 15 14 63.7 86.9 97.8 99.2 42.7 1.2 46.6 78.7 93.4 #> 16 15 39.5 78.5 96.2 98.5 22.2 2.1 26.6 68.2 90.7 #> 17 16 39.5 78.5 96.2 98.5 22.2 2.1 26.6 68.2 90.7 #> 18 17 39.5 78.5 96.2 98.5 22.2 2.1 26.6 68.2 90.7 #> 19 18 39.5 78.5 96.2 98.5 22.2 2.1 26.6 68.2 90.7 #> 20 19 39.5 78.5 96.2 98.5 22.2 2.1 26.6 68.2 90.7 #> 21 20 22.6 66.2 86.7 94.1 9.5 0.0 13.9 53.7 77.6 #> 22 21 22.6 66.2 86.7 94.1 9.5 0.0 13.9 53.7 77.6 #> 23 22 22.6 66.2 86.7 94.1 9.5 0.0 13.9 53.7 77.6 #> 24 23 22.6 66.2 86.7 94.1 9.5 0.0 13.9 53.7 77.6 #> 25 24 22.6 66.2 86.7 94.1 9.5 0.0 13.9 53.7 77.6 #> 26 25 16.0 52.0 74.4 89.5 6.6 0.0 8.8 37.1 63.2 #> 27 26 16.0 52.0 74.4 89.5 6.6 0.0 8.8 37.1 63.2 #> 28 27 16.0 52.0 74.4 89.5 6.6 0.0 8.8 37.1 63.2 #> 29 28 16.0 52.0 74.4 89.5 6.6 0.0 8.8 37.1 63.2 #> 30 29 16.0 52.0 74.4 89.5 6.6 0.0 8.8 37.1 63.2 #> 31 30 7.7 43.0 73.6 87.9 2.1 0.0 3.7 27.3 60.0 #> 32 31 7.7 43.0 73.6 87.9 2.1 0.0 3.7 27.3 60.0 #> 33 32 7.7 43.0 73.6 87.9 2.1 0.0 3.7 27.3 60.0 #> 34 33 7.7 43.0 73.6 87.9 2.1 0.0 3.7 27.3 60.0 #> 35 34 7.7 43.0 73.6 87.9 2.1 0.0 3.7 27.3 60.0 #> 36 35 3.3 27.3 57.2 76.2 0.7 0.0 2.0 14.0 42.8 #> 37 36 3.3 27.3 57.2 76.2 0.7 0.0 2.0 14.0 42.8 #> 38 37 3.3 27.3 57.2 76.2 0.7 0.0 2.0 14.0 42.8 #> 39 38 3.3 27.3 57.2 76.2 0.7 0.0 2.0 14.0 42.8 #> 40 39 3.3 27.3 57.2 76.2 0.7 0.0 2.0 14.0 42.8 #> 41 40 1.5 16.8 46.4 68.5 0.5 0.0 0.4 8.6 30.3 #> 42 41 1.5 16.8 46.4 68.5 0.5 0.0 0.4 8.6 30.3 #> 43 42 1.5 16.8 46.4 68.5 0.5 0.0 0.4 8.6 30.3 #> 44 43 1.5 16.8 46.4 68.5 0.5 0.0 0.4 8.6 30.3 #> 45 44 1.5 16.8 46.4 68.5 0.5 0.0 0.4 8.6 30.3 #> 46 45 0.2 6.9 29.3 50.7 0.0 0.0 0.2 3.3 15.9 #> 47 46 0.2 6.9 29.3 50.7 0.0 0.0 0.2 3.3 15.9 #> 48 47 0.2 6.9 29.3 50.7 0.0 0.0 0.2 3.3 15.9 #> 49 48 0.2 6.9 29.3 50.7 0.0 0.0 0.2 3.3 15.9 #> 50 49 0.2 6.9 29.3 50.7 0.0 0.0 0.2 3.3 15.9 #> 51 50 0.9 3.6 20.0 39.8 0.0 0.0 0.2 1.4 9.9 #> 52 51 0.9 3.6 20.0 39.8 0.0 0.0 0.2 1.4 9.9 #> 53 52 0.9 3.6 20.0 39.8 0.0 0.0 0.2 1.4 9.9 #> 54 53 0.9 3.6 20.0 39.8 0.0 0.0 0.2 1.4 9.9 #> 55 54 0.9 3.6 20.0 39.8 0.0 0.0 0.2 1.4 9.9 #> 56 55 0.0 2.1 9.5 24.6 0.0 0.0 0.0 0.1 5.8 #> 57 56 0.0 2.1 9.5 24.6 0.0 0.0 0.0 0.1 5.8 #> 58 57 0.0 2.1 9.5 24.6 0.0 0.0 0.0 0.1 5.8 #> 59 58 0.0 2.1 9.5 24.6 0.0 0.0 0.0 0.1 5.8 #> 60 59 0.0 2.1 9.5 24.6 0.0 0.0 0.0 0.1 5.8 #> 61 60 0.0 0.7 4.2 15.3 0.0 0.0 0.0 0.1 1.3 #> 62 61 0.0 0.7 4.2 15.3 0.0 0.0 0.0 0.1 1.3 #> 63 62 0.0 0.7 4.2 15.3 0.0 0.0 0.0 0.1 1.3 #> 64 63 0.0 0.7 4.2 15.3 0.0 0.0 0.0 0.1 1.3 #> 65 64 0.0 0.7 4.2 15.3 0.0 0.0 0.0 0.1 1.3 #> 66 65 0.0 0.0 1.1 5.8 0.0 0.0 0.0 0.0 0.4 #> 67 66 0.0 0.0 1.1 5.8 0.0 0.0 0.0 0.0 0.4 #> 68 67 0.0 0.0 1.1 5.8 0.0 0.0 0.0 0.0 0.4 #> 69 68 0.0 0.0 1.1 5.8 0.0 0.0 0.0 0.0 0.4 #> 70 69 0.0 0.0 1.1 5.8 0.0 0.0 0.0 0.0 0.4 #> 71 70 0.0 0.0 2.0 4.5 0.0 0.0 0.0 0.0 0.4 #> 72 71 0.0 0.0 2.0 4.5 0.0 0.0 0.0 0.0 0.4 #> 73 72 0.0 0.0 2.0 4.5 0.0 0.0 0.0 0.0 0.4 #> 74 73 0.0 0.0 2.0 4.5 0.0 0.0 0.0 0.0 0.4 #> 75 74 0.0 0.0 2.0 4.5 0.0 0.0 0.0 0.0 0.4 #> 76 75 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 77 76 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 78 77 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 79 78 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 80 79 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 81 80 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 82 81 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 83 82 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 84 83 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 85 84 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 86 85 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 87 86 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 88 87 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 89 88 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 90 89 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 91 90 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 92 91 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 93 92 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 94 93 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 95 94 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 96 95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 97 96 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 98 97 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 99 98 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 100 99 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> [ reached getOption("max.print") -- omitted 1 row ]# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiJOR2010[ppiJOR2010$score == ppiScore, ]#> score nl100 nl150 nl200 nl250 extreme ppp125 ppp250 ppp375 ppp500 #> 51 50 0.9 3.6 20 39.8 0 0 0.2 1.4 9.9# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiJOR2010, score == ppiScore)#> score nl100 nl150 nl200 nl250 extreme ppp125 ppp250 ppp375 ppp500 #> 51 50 0.9 3.6 20 39.8 0 0 0.2 1.4 9.9# Given a specific PPI score (from 0 - 100), get a poverty probability # based on a specific poverty definition. In this example, the USAID # extreme poverty definition ppiScore <- 50 ppiJOR2010[ppiJOR2010$score == ppiScore, "extreme"]#> [1] 0