Poverty Probability Index (PPI) lookup table for Senegal
ppiSEN2009
A data frame with 11 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nlFoodFood poverty line
extremeUSAID extreme poverty
nl75National poverty line (75%)
nl125National poverty line (125%)
nl150National poverty line (150%)
nl200National poverty line (200%)
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)
# Access Senegal PPI table ppiSEN2009#> score nl100 nlFood extreme nl75 nl125 nl150 nl200 ppp125 ppp250 ppp375 #> 0 0 58.2 24.2 28.5 38.8 77.1 89.0 95.7 36.4 83.9 97.8 #> 1 1 58.2 24.2 28.5 38.8 77.1 89.0 95.7 36.4 83.9 97.8 #> 2 2 58.2 24.2 28.5 38.8 77.1 89.0 95.7 36.4 83.9 97.8 #> 3 3 58.2 24.2 28.5 38.8 77.1 89.0 95.7 36.4 83.9 97.8 #> 4 4 58.2 24.2 28.5 38.8 77.1 89.0 95.7 36.4 83.9 97.8 #> 5 5 65.0 24.9 28.5 35.0 79.1 82.8 96.4 39.8 85.6 95.4 #> 6 6 65.0 24.9 28.5 35.0 79.1 82.8 96.4 39.8 85.6 95.4 #> 7 7 65.0 24.9 28.5 35.0 79.1 82.8 96.4 39.8 85.6 95.4 #> 8 8 65.0 24.9 28.5 35.0 79.1 82.8 96.4 39.8 85.6 95.4 #> 9 9 65.0 24.9 28.5 35.0 79.1 82.8 96.4 39.8 85.6 95.4 #> 10 10 68.3 30.8 37.7 45.3 81.2 88.6 96.0 43.9 88.3 96.6 #> 11 11 68.3 30.8 37.7 45.3 81.2 88.6 96.0 43.9 88.3 96.6 #> 12 12 68.3 30.8 37.7 45.3 81.2 88.6 96.0 43.9 88.3 96.6 #> 13 13 68.3 30.8 37.7 45.3 81.2 88.6 96.0 43.9 88.3 96.6 #> 14 14 68.3 30.8 37.7 45.3 81.2 88.6 96.0 43.9 88.3 96.6 #> 15 15 58.6 23.6 28.9 35.0 75.3 83.2 92.3 33.5 82.7 93.5 #> 16 16 58.6 23.6 28.9 35.0 75.3 83.2 92.3 33.5 82.7 93.5 #> 17 17 58.6 23.6 28.9 35.0 75.3 83.2 92.3 33.5 82.7 93.5 #> 18 18 58.6 23.6 28.9 35.0 75.3 83.2 92.3 33.5 82.7 93.5 #> 19 19 58.6 23.6 28.9 35.0 75.3 83.2 92.3 33.5 82.7 93.5 #> 20 20 56.0 16.4 26.2 29.9 74.3 82.8 91.2 30.4 80.0 91.7 #> 21 21 56.0 16.4 26.2 29.9 74.3 82.8 91.2 30.4 80.0 91.7 #> 22 22 56.0 16.4 26.2 29.9 74.3 82.8 91.2 30.4 80.0 91.7 #> 23 23 56.0 16.4 26.2 29.9 74.3 82.8 91.2 30.4 80.0 91.7 #> 24 24 56.0 16.4 26.2 29.9 74.3 82.8 91.2 30.4 80.0 91.7 #> 25 25 46.9 15.5 25.2 29.7 57.0 69.8 81.1 27.6 63.4 82.5 #> 26 26 46.9 15.5 25.2 29.7 57.0 69.8 81.1 27.6 63.4 82.5 #> 27 27 46.9 15.5 25.2 29.7 57.0 69.8 81.1 27.6 63.4 82.5 #> 28 28 46.9 15.5 25.2 29.7 57.0 69.8 81.1 27.6 63.4 82.5 #> 29 29 46.9 15.5 25.2 29.7 57.0 69.8 81.1 27.6 63.4 82.5 #> 30 30 51.3 7.8 21.4 28.2 72.1 78.5 95.5 19.3 77.2 97.2 #> 31 31 51.3 7.8 21.4 28.2 72.1 78.5 95.5 19.3 77.2 97.2 #> 32 32 51.3 7.8 21.4 28.2 72.1 78.5 95.5 19.3 77.2 97.2 #> 33 33 51.3 7.8 21.4 28.2 72.1 78.5 95.5 19.3 77.2 97.2 #> 34 34 51.3 7.8 21.4 28.2 72.1 78.5 95.5 19.3 77.2 97.2 #> 35 35 42.3 7.7 16.9 18.5 65.3 72.8 89.8 16.1 72.1 89.2 #> 36 36 42.3 7.7 16.9 18.5 65.3 72.8 89.8 16.1 72.1 89.2 #> 37 37 42.3 7.7 16.9 18.5 65.3 72.8 89.8 16.1 72.1 89.2 #> 38 38 42.3 7.7 16.9 18.5 65.3 72.8 89.8 16.1 72.1 89.2 #> 39 39 42.3 7.7 16.9 18.5 65.3 72.8 89.8 16.1 72.1 89.2 #> 40 40 34.8 1.5 18.5 15.1 58.4 72.6 85.1 14.5 61.9 88.1 #> 41 41 34.8 1.5 18.5 15.1 58.4 72.6 85.1 14.5 61.9 88.1 #> 42 42 34.8 1.5 18.5 15.1 58.4 72.6 85.1 14.5 61.9 88.1 #> 43 43 34.8 1.5 18.5 15.1 58.4 72.6 85.1 14.5 61.9 88.1 #> 44 44 34.8 1.5 18.5 15.1 58.4 72.6 85.1 14.5 61.9 88.1 #> 45 45 27.9 1.5 12.0 12.4 56.0 79.5 90.9 6.5 67.7 91.7 #> 46 46 27.9 1.5 12.0 12.4 56.0 79.5 90.9 6.5 67.7 91.7 #> 47 47 27.9 1.5 12.0 12.4 56.0 79.5 90.9 6.5 67.7 91.7 #> 48 48 27.9 1.5 12.0 12.4 56.0 79.5 90.9 6.5 67.7 91.7 #> 49 49 27.9 1.5 12.0 12.4 56.0 79.5 90.9 6.5 67.7 91.7 #> 50 50 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82.0 #> 51 51 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82.0 #> 52 52 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82.0 #> 53 53 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82.0 #> 54 54 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82.0 #> 55 55 22.2 0.2 9.2 8.2 46.3 62.4 89.9 5.5 56.4 88.5 #> 56 56 22.2 0.2 9.2 8.2 46.3 62.4 89.9 5.5 56.4 88.5 #> 57 57 22.2 0.2 9.2 8.2 46.3 62.4 89.9 5.5 56.4 88.5 #> 58 58 22.2 0.2 9.2 8.2 46.3 62.4 89.9 5.5 56.4 88.5 #> 59 59 22.2 0.2 9.2 8.2 46.3 62.4 89.9 5.5 56.4 88.5 #> 60 60 21.9 0.1 10.8 8.8 46.9 62.4 79.5 4.9 55.3 80.8 #> 61 61 21.9 0.1 10.8 8.8 46.9 62.4 79.5 4.9 55.3 80.8 #> 62 62 21.9 0.1 10.8 8.8 46.9 62.4 79.5 4.9 55.3 80.8 #> 63 63 21.9 0.1 10.8 8.8 46.9 62.4 79.5 4.9 55.3 80.8 #> 64 64 21.9 0.1 10.8 8.8 46.9 62.4 79.5 4.9 55.3 80.8 #> 65 65 19.9 0.7 7.6 8.4 40.0 54.3 74.8 3.5 48.8 78.5 #> 66 66 19.9 0.7 7.6 8.4 40.0 54.3 74.8 3.5 48.8 78.5 #> 67 67 19.9 0.7 7.6 8.4 40.0 54.3 74.8 3.5 48.8 78.5 #> 68 68 19.9 0.7 7.6 8.4 40.0 54.3 74.8 3.5 48.8 78.5 #> 69 69 19.9 0.7 7.6 8.4 40.0 54.3 74.8 3.5 48.8 78.5 #> 70 70 20.3 0.6 13.5 16.3 33.0 40.9 74.0 5.3 34.5 72.3 #> 71 71 20.3 0.6 13.5 16.3 33.0 40.9 74.0 5.3 34.5 72.3 #> 72 72 20.3 0.6 13.5 16.3 33.0 40.9 74.0 5.3 34.5 72.3 #> 73 73 20.3 0.6 13.5 16.3 33.0 40.9 74.0 5.3 34.5 72.3 #> 74 74 20.3 0.6 13.5 16.3 33.0 40.9 74.0 5.3 34.5 72.3 #> 75 75 17.7 0.0 5.5 3.8 32.2 44.6 67.1 2.0 34.6 70.4 #> 76 76 17.7 0.0 5.5 3.8 32.2 44.6 67.1 2.0 34.6 70.4 #> 77 77 17.7 0.0 5.5 3.8 32.2 44.6 67.1 2.0 34.6 70.4 #> 78 78 17.7 0.0 5.5 3.8 32.2 44.6 67.1 2.0 34.6 70.4 #> 79 79 17.7 0.0 5.5 3.8 32.2 44.6 67.1 2.0 34.6 70.4 #> 80 80 8.6 3.4 5.6 4.1 13.5 25.3 54.2 3.4 17.6 68.0 #> 81 81 8.6 3.4 5.6 4.1 13.5 25.3 54.2 3.4 17.6 68.0 #> 82 82 8.6 3.4 5.6 4.1 13.5 25.3 54.2 3.4 17.6 68.0 #> 83 83 8.6 3.4 5.6 4.1 13.5 25.3 54.2 3.4 17.6 68.0 #> 84 84 8.6 3.4 5.6 4.1 13.5 25.3 54.2 3.4 17.6 68.0 #> 85 85 4.3 0.0 0.0 0.0 16.6 43.0 54.7 0.0 42.4 63.8 #> 86 86 4.3 0.0 0.0 0.0 16.6 43.0 54.7 0.0 42.4 63.8 #> 87 87 4.3 0.0 0.0 0.0 16.6 43.0 54.7 0.0 42.4 63.8 #> 88 88 4.3 0.0 0.0 0.0 16.6 43.0 54.7 0.0 42.4 63.8 #> 89 89 4.3 0.0 0.0 0.0 16.6 43.0 54.7 0.0 42.4 63.8 #> [ 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 ppiSEN2009[ppiSEN2009$score == ppiScore, ]#> score nl100 nlFood extreme nl75 nl125 nl150 nl200 ppp125 ppp250 ppp375 #> 50 50 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiSEN2009, score == ppiScore)#> score nl100 nlFood extreme nl75 nl125 nl150 nl200 ppp125 ppp250 ppp375 #> 50 50 37.4 1.1 12.9 15.7 46.2 61.2 80.3 12.3 57.7 82# 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 ppiSEN2009[ppiSEN2009$score == ppiScore, "nl100"]#> [1] 37.4