Poverty Probability Index (PPI) lookup table for Kenya
ppiKEN2011
A data frame with 11 columns and 101 rows:
scorePPI score
nlFoodFood poverty line
nl100National poverty line (100%)
nl150National poverty line (150%)
extremeUSAID extreme poverty
ppp125Below $1.25 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
ppp400Below $4.00 per day purchasing power parity (2005)
ppp844Below $8.44 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 Kenya PPI table ppiKEN2011#> score nlFood nl100 nl150 extreme ppp125 ppp250 ppp400 ppp844 ppp190 ppp310 #> 0 0 95.4 95.4 100.0 91.5 100.0 100.0 100.0 100.0 100.0 100.0 #> 1 1 95.4 95.4 100.0 91.5 100.0 100.0 100.0 100.0 100.0 100.0 #> 2 2 95.4 95.4 100.0 91.5 100.0 100.0 100.0 100.0 100.0 100.0 #> 3 3 95.4 95.4 100.0 91.5 100.0 100.0 100.0 100.0 100.0 100.0 #> 4 4 95.4 95.4 100.0 91.5 100.0 100.0 100.0 100.0 100.0 100.0 #> 5 5 72.6 95.0 100.0 73.9 97.5 100.0 100.0 100.0 93.3 100.0 #> 6 6 72.6 95.0 100.0 73.9 97.5 100.0 100.0 100.0 93.3 100.0 #> 7 7 72.6 95.0 100.0 73.9 97.5 100.0 100.0 100.0 93.3 100.0 #> 8 8 72.6 95.0 100.0 73.9 97.5 100.0 100.0 100.0 93.3 100.0 #> 9 9 72.6 95.0 100.0 73.9 97.5 100.0 100.0 100.0 93.3 100.0 #> 10 10 57.1 85.8 96.5 57.9 86.2 99.6 100.0 100.0 79.3 96.8 #> 11 11 57.1 85.8 96.5 57.9 86.2 99.6 100.0 100.0 79.3 96.8 #> 12 12 57.1 85.8 96.5 57.9 86.2 99.6 100.0 100.0 79.3 96.8 #> 13 13 57.1 85.8 96.5 57.9 86.2 99.6 100.0 100.0 79.3 96.8 #> 14 14 57.1 85.8 96.5 57.9 86.2 99.6 100.0 100.0 79.3 96.8 #> 15 15 47.4 82.5 95.7 46.9 86.0 99.3 99.7 100.0 79.5 96.4 #> 16 16 47.4 82.5 95.7 46.9 86.0 99.3 99.7 100.0 79.5 96.4 #> 17 17 47.4 82.5 95.7 46.9 86.0 99.3 99.7 100.0 79.5 96.4 #> 18 18 47.4 82.5 95.7 46.9 86.0 99.3 99.7 100.0 79.5 96.4 #> 19 19 47.4 82.5 95.7 46.9 86.0 99.3 99.7 100.0 79.5 96.4 #> 20 20 37.8 77.3 93.2 46.3 81.9 99.0 99.5 100.0 67.6 92.5 #> 21 21 37.8 77.3 93.2 46.3 81.9 99.0 99.5 100.0 67.6 92.5 #> 22 22 37.8 77.3 93.2 46.3 81.9 99.0 99.5 100.0 67.6 92.5 #> 23 23 37.8 77.3 93.2 46.3 81.9 99.0 99.5 100.0 67.6 92.5 #> 24 24 37.8 77.3 93.2 46.3 81.9 99.0 99.5 100.0 67.6 92.5 #> 25 25 32.8 67.9 89.1 36.5 70.1 96.2 99.4 100.0 63.2 87.9 #> 26 26 32.8 67.9 89.1 36.5 70.1 96.2 99.4 100.0 63.2 87.9 #> 27 27 32.8 67.9 89.1 36.5 70.1 96.2 99.4 100.0 63.2 87.9 #> 28 28 32.8 67.9 89.1 36.5 70.1 96.2 99.4 100.0 63.2 87.9 #> 29 29 32.8 67.9 89.1 36.5 70.1 96.2 99.4 100.0 63.2 87.9 #> 30 30 23.5 63.7 83.3 27.6 63.1 95.4 98.6 99.9 52.4 85.7 #> 31 31 23.5 63.7 83.3 27.6 63.1 95.4 98.6 99.9 52.4 85.7 #> 32 32 23.5 63.7 83.3 27.6 63.1 95.4 98.6 99.9 52.4 85.7 #> 33 33 23.5 63.7 83.3 27.6 63.1 95.4 98.6 99.9 52.4 85.7 #> 34 34 23.5 63.7 83.3 27.6 63.1 95.4 98.6 99.9 52.4 85.7 #> 35 35 12.7 46.4 75.7 16.8 49.0 91.8 98.2 99.9 39.4 73.0 #> 36 36 12.7 46.4 75.7 16.8 49.0 91.8 98.2 99.9 39.4 73.0 #> 37 37 12.7 46.4 75.7 16.8 49.0 91.8 98.2 99.9 39.4 73.0 #> 38 38 12.7 46.4 75.7 16.8 49.0 91.8 98.2 99.9 39.4 73.0 #> 39 39 12.7 46.4 75.7 16.8 49.0 91.8 98.2 99.9 39.4 73.0 #> 40 40 9.9 36.9 64.8 15.4 35.1 82.0 95.5 99.8 27.5 62.6 #> 41 41 9.9 36.9 64.8 15.4 35.1 82.0 95.5 99.8 27.5 62.6 #> 42 42 9.9 36.9 64.8 15.4 35.1 82.0 95.5 99.8 27.5 62.6 #> 43 43 9.9 36.9 64.8 15.4 35.1 82.0 95.5 99.8 27.5 62.6 #> 44 44 9.9 36.9 64.8 15.4 35.1 82.0 95.5 99.8 27.5 62.6 #> 45 45 4.7 30.0 64.3 7.4 24.9 75.3 93.8 99.5 14.4 54.6 #> 46 46 4.7 30.0 64.3 7.4 24.9 75.3 93.8 99.5 14.4 54.6 #> 47 47 4.7 30.0 64.3 7.4 24.9 75.3 93.8 99.5 14.4 54.6 #> 48 48 4.7 30.0 64.3 7.4 24.9 75.3 93.8 99.5 14.4 54.6 #> 49 49 4.7 30.0 64.3 7.4 24.9 75.3 93.8 99.5 14.4 54.6 #> 50 50 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2 #> 51 51 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2 #> 52 52 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2 #> 53 53 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2 #> 54 54 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2 #> 55 55 0.9 13.9 41.8 2.3 6.8 44.4 75.5 95.6 4.2 22.5 #> 56 56 0.9 13.9 41.8 2.3 6.8 44.4 75.5 95.6 4.2 22.5 #> 57 57 0.9 13.9 41.8 2.3 6.8 44.4 75.5 95.6 4.2 22.5 #> 58 58 0.9 13.9 41.8 2.3 6.8 44.4 75.5 95.6 4.2 22.5 #> 59 59 0.9 13.9 41.8 2.3 6.8 44.4 75.5 95.6 4.2 22.5 #> 60 60 0.5 6.1 32.3 0.3 1.4 29.0 63.2 94.6 0.9 10.2 #> 61 61 0.5 6.1 32.3 0.3 1.4 29.0 63.2 94.6 0.9 10.2 #> 62 62 0.5 6.1 32.3 0.3 1.4 29.0 63.2 94.6 0.9 10.2 #> 63 63 0.5 6.1 32.3 0.3 1.4 29.0 63.2 94.6 0.9 10.2 #> 64 64 0.5 6.1 32.3 0.3 1.4 29.0 63.2 94.6 0.9 10.2 #> 65 65 0.9 4.6 20.4 1.2 0.8 20.3 47.4 87.5 0.4 7.0 #> 66 66 0.9 4.6 20.4 1.2 0.8 20.3 47.4 87.5 0.4 7.0 #> 67 67 0.9 4.6 20.4 1.2 0.8 20.3 47.4 87.5 0.4 7.0 #> 68 68 0.9 4.6 20.4 1.2 0.8 20.3 47.4 87.5 0.4 7.0 #> 69 69 0.9 4.6 20.4 1.2 0.8 20.3 47.4 87.5 0.4 7.0 #> 70 70 0.2 3.8 11.1 0.2 0.1 8.9 31.7 78.7 0.2 1.7 #> 71 71 0.2 3.8 11.1 0.2 0.1 8.9 31.7 78.7 0.2 1.7 #> 72 72 0.2 3.8 11.1 0.2 0.1 8.9 31.7 78.7 0.2 1.7 #> 73 73 0.2 3.8 11.1 0.2 0.1 8.9 31.7 78.7 0.2 1.7 #> 74 74 0.2 3.8 11.1 0.2 0.1 8.9 31.7 78.7 0.2 1.7 #> 75 75 0.0 0.0 4.1 0.0 0.1 5.4 21.1 70.6 0.0 2.3 #> 76 76 0.0 0.0 4.1 0.0 0.1 5.4 21.1 70.6 0.0 2.3 #> 77 77 0.0 0.0 4.1 0.0 0.1 5.4 21.1 70.6 0.0 2.3 #> 78 78 0.0 0.0 4.1 0.0 0.1 5.4 21.1 70.6 0.0 2.3 #> 79 79 0.0 0.0 4.1 0.0 0.1 5.4 21.1 70.6 0.0 2.3 #> 80 80 0.4 0.4 6.7 0.4 0.1 3.0 10.8 60.0 0.4 0.4 #> 81 81 0.4 0.4 6.7 0.4 0.1 3.0 10.8 60.0 0.4 0.4 #> 82 82 0.4 0.4 6.7 0.4 0.1 3.0 10.8 60.0 0.4 0.4 #> 83 83 0.4 0.4 6.7 0.4 0.1 3.0 10.8 60.0 0.4 0.4 #> 84 84 0.4 0.4 6.7 0.4 0.1 3.0 10.8 60.0 0.4 0.4 #> 85 85 0.0 0.0 4.1 0.0 0.0 1.2 4.7 43.3 0.0 0.0 #> 86 86 0.0 0.0 4.1 0.0 0.0 1.2 4.7 43.3 0.0 0.0 #> 87 87 0.0 0.0 4.1 0.0 0.0 1.2 4.7 43.3 0.0 0.0 #> 88 88 0.0 0.0 4.1 0.0 0.0 1.2 4.7 43.3 0.0 0.0 #> 89 89 0.0 0.0 4.1 0.0 0.0 1.2 4.7 43.3 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 ppiKEN2011[ppiKEN2011$score == ppiScore, ]#> score nlFood nl100 nl150 extreme ppp125 ppp250 ppp400 ppp844 ppp190 ppp310 #> 50 50 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiKEN2011, score == ppiScore)#> score nlFood nl100 nl150 extreme ppp125 ppp250 ppp400 ppp844 ppp190 ppp310 #> 50 50 1.9 17.8 49.4 2.5 9.6 61.1 88.5 98.7 5.9 30.2# 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 ppiKEN2011[ppiKEN2011$score == ppiScore, "extreme"]#> [1] 2.5