Poverty Probability Index (PPI) lookup table for El Salvador
ppiSLV2010
A data frame with 9 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nlFoodFood poverty line
nl150National poverty line (150%)
nl200National poverty line (200%)
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)
# Access El Salvador PPI table ppiSLV2010#> score nl100 nlFood nl150 nl200 extreme ppp125 ppp250 ppp375 #> 0 0 100.0 70.3 100.0 100.0 86.8 100.0 100.0 100.0 #> 1 1 100.0 70.3 100.0 100.0 86.8 100.0 100.0 100.0 #> 2 2 100.0 70.3 100.0 100.0 86.8 100.0 100.0 100.0 #> 3 3 100.0 70.3 100.0 100.0 86.8 100.0 100.0 100.0 #> 4 4 100.0 70.3 100.0 100.0 86.8 100.0 100.0 100.0 #> 5 5 88.1 67.9 100.0 100.0 78.8 96.4 100.0 100.0 #> 6 6 88.1 67.9 100.0 100.0 78.8 96.4 100.0 100.0 #> 7 7 88.1 67.9 100.0 100.0 78.8 96.4 100.0 100.0 #> 8 8 88.1 67.9 100.0 100.0 78.8 96.4 100.0 100.0 #> 9 9 88.1 67.9 100.0 100.0 78.8 96.4 100.0 100.0 #> 10 10 93.3 54.0 98.1 99.0 67.9 94.6 99.6 100.0 #> 11 11 93.3 54.0 98.1 99.0 67.9 94.6 99.6 100.0 #> 12 12 93.3 54.0 98.1 99.0 67.9 94.6 99.6 100.0 #> 13 13 93.3 54.0 98.1 99.0 67.9 94.6 99.6 100.0 #> 14 14 93.3 54.0 98.1 99.0 67.9 94.6 99.6 100.0 #> 15 15 85.3 47.9 97.5 99.3 56.5 90.8 100.0 100.0 #> 16 16 85.3 47.9 97.5 99.3 56.5 90.8 100.0 100.0 #> 17 17 85.3 47.9 97.5 99.3 56.5 90.8 100.0 100.0 #> 18 18 85.3 47.9 97.5 99.3 56.5 90.8 100.0 100.0 #> 19 19 85.3 47.9 97.5 99.3 56.5 90.8 100.0 100.0 #> 20 20 80.1 40.2 95.8 97.6 53.8 87.5 99.1 100.0 #> 21 21 80.1 40.2 95.8 97.6 53.8 87.5 99.1 100.0 #> 22 22 80.1 40.2 95.8 97.6 53.8 87.5 99.1 100.0 #> 23 23 80.1 40.2 95.8 97.6 53.8 87.5 99.1 100.0 #> 24 24 80.1 40.2 95.8 97.6 53.8 87.5 99.1 100.0 #> 25 25 75.0 24.6 91.3 95.4 41.3 81.1 97.2 99.9 #> 26 26 75.0 24.6 91.3 95.4 41.3 81.1 97.2 99.9 #> 27 27 75.0 24.6 91.3 95.4 41.3 81.1 97.2 99.9 #> 28 28 75.0 24.6 91.3 95.4 41.3 81.1 97.2 99.9 #> 29 29 75.0 24.6 91.3 95.4 41.3 81.1 97.2 99.9 #> 30 30 69.2 20.3 87.5 94.4 32.1 75.4 96.5 99.3 #> 31 31 69.2 20.3 87.5 94.4 32.1 75.4 96.5 99.3 #> 32 32 69.2 20.3 87.5 94.4 32.1 75.4 96.5 99.3 #> 33 33 69.2 20.3 87.5 94.4 32.1 75.4 96.5 99.3 #> 34 34 69.2 20.3 87.5 94.4 32.1 75.4 96.5 99.3 #> 35 35 56.0 12.1 80.3 92.3 23.1 62.9 94.4 98.9 #> 36 36 56.0 12.1 80.3 92.3 23.1 62.9 94.4 98.9 #> 37 37 56.0 12.1 80.3 92.3 23.1 62.9 94.4 98.9 #> 38 38 56.0 12.1 80.3 92.3 23.1 62.9 94.4 98.9 #> 39 39 56.0 12.1 80.3 92.3 23.1 62.9 94.4 98.9 #> 40 40 43.5 8.4 67.3 86.7 16.5 51.6 88.6 94.4 #> 41 41 43.5 8.4 67.3 86.7 16.5 51.6 88.6 94.4 #> 42 42 43.5 8.4 67.3 86.7 16.5 51.6 88.6 94.4 #> 43 43 43.5 8.4 67.3 86.7 16.5 51.6 88.6 94.4 #> 44 44 43.5 8.4 67.3 86.7 16.5 51.6 88.6 94.4 #> 45 45 40.4 5.8 69.3 81.9 13.2 47.6 85.0 93.3 #> 46 46 40.4 5.8 69.3 81.9 13.2 47.6 85.0 93.3 #> 47 47 40.4 5.8 69.3 81.9 13.2 47.6 85.0 93.3 #> 48 48 40.4 5.8 69.3 81.9 13.2 47.6 85.0 93.3 #> 49 49 40.4 5.8 69.3 81.9 13.2 47.6 85.0 93.3 #> 50 50 27.5 2.9 55.1 70.0 9.2 37.6 77.4 90.0 #> 51 51 27.5 2.9 55.1 70.0 9.2 37.6 77.4 90.0 #> 52 52 27.5 2.9 55.1 70.0 9.2 37.6 77.4 90.0 #> 53 53 27.5 2.9 55.1 70.0 9.2 37.6 77.4 90.0 #> 54 54 27.5 2.9 55.1 70.0 9.2 37.6 77.4 90.0 #> 55 55 19.3 2.2 49.5 63.6 5.7 28.2 73.3 89.5 #> 56 56 19.3 2.2 49.5 63.6 5.7 28.2 73.3 89.5 #> 57 57 19.3 2.2 49.5 63.6 5.7 28.2 73.3 89.5 #> 58 58 19.3 2.2 49.5 63.6 5.7 28.2 73.3 89.5 #> 59 59 19.3 2.2 49.5 63.6 5.7 28.2 73.3 89.5 #> 60 60 11.8 0.3 32.5 52.8 0.7 18.3 62.3 82.5 #> 61 61 11.8 0.3 32.5 52.8 0.7 18.3 62.3 82.5 #> 62 62 11.8 0.3 32.5 52.8 0.7 18.3 62.3 82.5 #> 63 63 11.8 0.3 32.5 52.8 0.7 18.3 62.3 82.5 #> 64 64 11.8 0.3 32.5 52.8 0.7 18.3 62.3 82.5 #> 65 65 13.0 0.5 26.3 44.6 0.9 16.1 55.0 73.4 #> 66 66 13.0 0.5 26.3 44.6 0.9 16.1 55.0 73.4 #> 67 67 13.0 0.5 26.3 44.6 0.9 16.1 55.0 73.4 #> 68 68 13.0 0.5 26.3 44.6 0.9 16.1 55.0 73.4 #> 69 69 13.0 0.5 26.3 44.6 0.9 16.1 55.0 73.4 #> 70 70 6.4 0.5 23.8 44.1 0.5 12.9 49.2 75.8 #> 71 71 6.4 0.5 23.8 44.1 0.5 12.9 49.2 75.8 #> 72 72 6.4 0.5 23.8 44.1 0.5 12.9 49.2 75.8 #> 73 73 6.4 0.5 23.8 44.1 0.5 12.9 49.2 75.8 #> 74 74 6.4 0.5 23.8 44.1 0.5 12.9 49.2 75.8 #> 75 75 3.9 0.0 11.5 32.1 0.5 4.3 39.2 64.0 #> 76 76 3.9 0.0 11.5 32.1 0.5 4.3 39.2 64.0 #> 77 77 3.9 0.0 11.5 32.1 0.5 4.3 39.2 64.0 #> 78 78 3.9 0.0 11.5 32.1 0.5 4.3 39.2 64.0 #> 79 79 3.9 0.0 11.5 32.1 0.5 4.3 39.2 64.0 #> 80 80 1.0 0.0 8.4 24.8 0.0 1.0 29.8 54.4 #> 81 81 1.0 0.0 8.4 24.8 0.0 1.0 29.8 54.4 #> 82 82 1.0 0.0 8.4 24.8 0.0 1.0 29.8 54.4 #> 83 83 1.0 0.0 8.4 24.8 0.0 1.0 29.8 54.4 #> 84 84 1.0 0.0 8.4 24.8 0.0 1.0 29.8 54.4 #> 85 85 0.5 0.0 11.0 25.2 0.0 0.5 28.3 42.9 #> 86 86 0.5 0.0 11.0 25.2 0.0 0.5 28.3 42.9 #> 87 87 0.5 0.0 11.0 25.2 0.0 0.5 28.3 42.9 #> 88 88 0.5 0.0 11.0 25.2 0.0 0.5 28.3 42.9 #> 89 89 0.5 0.0 11.0 25.2 0.0 0.5 28.3 42.9 #> 90 90 0.0 0.0 0.0 6.2 0.0 0.0 6.2 20.3 #> 91 91 0.0 0.0 0.0 6.2 0.0 0.0 6.2 20.3 #> 92 92 0.0 0.0 0.0 6.2 0.0 0.0 6.2 20.3 #> 93 93 0.0 0.0 0.0 6.2 0.0 0.0 6.2 20.3 #> 94 94 0.0 0.0 0.0 6.2 0.0 0.0 6.2 20.3 #> 95 95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 24.4 #> 96 96 0.0 0.0 0.0 0.0 0.0 0.0 0.0 24.4 #> 97 97 0.0 0.0 0.0 0.0 0.0 0.0 0.0 24.4 #> 98 98 0.0 0.0 0.0 0.0 0.0 0.0 0.0 24.4 #> 99 99 0.0 0.0 0.0 0.0 0.0 0.0 0.0 24.4 #> 100 100 0.0 0.0 0.0 0.0 0.0 0.0 0.0 24.4# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiSLV2010[ppiSLV2010$score == ppiScore, ]#> score nl100 nlFood nl150 nl200 extreme ppp125 ppp250 ppp375 #> 50 50 27.5 2.9 55.1 70 9.2 37.6 77.4 90# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiSLV2010, score == ppiScore)#> score nl100 nlFood nl150 nl200 extreme ppp125 ppp250 ppp375 #> 50 50 27.5 2.9 55.1 70 9.2 37.6 77.4 90# 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 ppiSLV2010[ppiSLV2010$score == ppiScore, "extreme"]#> [1] 9.2