Poverty Probability Index (PPI) lookup table for Cameroon
ppiCMR2013
A data frame with 8 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
extremeUSAID extreme poverty
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)
# Access Cameroon PPI table ppiCMR2013#> score nl100 nl150 nl200 extreme ppp125 ppp200 ppp250 #> 0 0 94.4 100.0 100.0 67.2 83.4 98.3 100.0 #> 1 1 94.4 100.0 100.0 67.2 83.4 98.3 100.0 #> 2 2 94.4 100.0 100.0 67.2 83.4 98.3 100.0 #> 3 3 94.4 100.0 100.0 67.2 83.4 98.3 100.0 #> 4 4 94.4 100.0 100.0 67.2 83.4 98.3 100.0 #> 5 5 83.3 97.0 99.2 51.2 74.0 94.9 98.6 #> 6 6 83.3 97.0 99.2 51.2 74.0 94.9 98.6 #> 7 7 83.3 97.0 99.2 51.2 74.0 94.9 98.6 #> 8 8 83.3 97.0 99.2 51.2 74.0 94.9 98.6 #> 9 9 83.3 97.0 99.2 51.2 74.0 94.9 98.6 #> 10 10 81.7 96.8 98.9 48.5 72.4 94.3 98.3 #> 11 11 81.7 96.8 98.9 48.5 72.4 94.3 98.3 #> 12 12 81.7 96.8 98.9 48.5 72.4 94.3 98.3 #> 13 13 81.7 96.8 98.9 48.5 72.4 94.3 98.3 #> 14 14 81.7 96.8 98.9 48.5 72.4 94.3 98.3 #> 15 15 72.1 95.5 98.1 33.4 50.4 90.5 95.6 #> 16 16 72.1 95.5 98.1 33.4 50.4 90.5 95.6 #> 17 17 72.1 95.5 98.1 33.4 50.4 90.5 95.6 #> 18 18 72.1 95.5 98.1 33.4 50.4 90.5 95.6 #> 19 19 72.1 95.5 98.1 33.4 50.4 90.5 95.6 #> 20 20 63.0 89.8 97.6 23.7 42.6 84.5 91.9 #> 21 21 63.0 89.8 97.6 23.7 42.6 84.5 91.9 #> 22 22 63.0 89.8 97.6 23.7 42.6 84.5 91.9 #> 23 23 63.0 89.8 97.6 23.7 42.6 84.5 91.9 #> 24 24 63.0 89.8 97.6 23.7 42.6 84.5 91.9 #> 25 25 47.7 82.8 95.2 21.0 30.7 73.1 87.9 #> 26 26 47.7 82.8 95.2 21.0 30.7 73.1 87.9 #> 27 27 47.7 82.8 95.2 21.0 30.7 73.1 87.9 #> 28 28 47.7 82.8 95.2 21.0 30.7 73.1 87.9 #> 29 29 47.7 82.8 95.2 21.0 30.7 73.1 87.9 #> 30 30 34.1 74.3 93.7 11.6 18.9 59.5 83.2 #> 31 31 34.1 74.3 93.7 11.6 18.9 59.5 83.2 #> 32 32 34.1 74.3 93.7 11.6 18.9 59.5 83.2 #> 33 33 34.1 74.3 93.7 11.6 18.9 59.5 83.2 #> 34 34 34.1 74.3 93.7 11.6 18.9 59.5 83.2 #> 35 35 30.0 63.8 84.2 7.9 13.6 47.4 67.6 #> 36 36 30.0 63.8 84.2 7.9 13.6 47.4 67.6 #> 37 37 30.0 63.8 84.2 7.9 13.6 47.4 67.6 #> 38 38 30.0 63.8 84.2 7.9 13.6 47.4 67.6 #> 39 39 30.0 63.8 84.2 7.9 13.6 47.4 67.6 #> 40 40 18.0 52.5 75.9 4.0 6.2 35.1 57.3 #> 41 41 18.0 52.5 75.9 4.0 6.2 35.1 57.3 #> 42 42 18.0 52.5 75.9 4.0 6.2 35.1 57.3 #> 43 43 18.0 52.5 75.9 4.0 6.2 35.1 57.3 #> 44 44 18.0 52.5 75.9 4.0 6.2 35.1 57.3 #> 45 45 10.6 42.8 67.5 2.3 3.4 23.0 41.8 #> 46 46 10.6 42.8 67.5 2.3 3.4 23.0 41.8 #> 47 47 10.6 42.8 67.5 2.3 3.4 23.0 41.8 #> 48 48 10.6 42.8 67.5 2.3 3.4 23.0 41.8 #> 49 49 10.6 42.8 67.5 2.3 3.4 23.0 41.8 #> 50 50 8.3 33.5 56.3 2.3 2.7 18.0 32.9 #> 51 51 8.3 33.5 56.3 2.3 2.7 18.0 32.9 #> 52 52 8.3 33.5 56.3 2.3 2.7 18.0 32.9 #> 53 53 8.3 33.5 56.3 2.3 2.7 18.0 32.9 #> 54 54 8.3 33.5 56.3 2.3 2.7 18.0 32.9 #> 55 55 4.3 25.7 47.7 0.9 0.9 10.4 23.9 #> 56 56 4.3 25.7 47.7 0.9 0.9 10.4 23.9 #> 57 57 4.3 25.7 47.7 0.9 0.9 10.4 23.9 #> 58 58 4.3 25.7 47.7 0.9 0.9 10.4 23.9 #> 59 59 4.3 25.7 47.7 0.9 0.9 10.4 23.9 #> 60 60 3.6 17.2 37.2 0.3 0.3 5.4 17.5 #> 61 61 3.6 17.2 37.2 0.3 0.3 5.4 17.5 #> 62 62 3.6 17.2 37.2 0.3 0.3 5.4 17.5 #> 63 63 3.6 17.2 37.2 0.3 0.3 5.4 17.5 #> 64 64 3.6 17.2 37.2 0.3 0.3 5.4 17.5 #> 65 65 1.7 8.3 25.1 0.3 0.3 4.2 9.0 #> 66 66 1.7 8.3 25.1 0.3 0.3 4.2 9.0 #> 67 67 1.7 8.3 25.1 0.3 0.3 4.2 9.0 #> 68 68 1.7 8.3 25.1 0.3 0.3 4.2 9.0 #> 69 69 1.7 8.3 25.1 0.3 0.3 4.2 9.0 #> 70 70 0.9 5.7 20.7 0.0 0.0 1.5 5.5 #> 71 71 0.9 5.7 20.7 0.0 0.0 1.5 5.5 #> 72 72 0.9 5.7 20.7 0.0 0.0 1.5 5.5 #> 73 73 0.9 5.7 20.7 0.0 0.0 1.5 5.5 #> 74 74 0.9 5.7 20.7 0.0 0.0 1.5 5.5 #> 75 75 0.9 3.5 13.3 0.0 0.0 1.3 3.4 #> 76 76 0.9 3.5 13.3 0.0 0.0 1.3 3.4 #> 77 77 0.9 3.5 13.3 0.0 0.0 1.3 3.4 #> 78 78 0.9 3.5 13.3 0.0 0.0 1.3 3.4 #> 79 79 0.9 3.5 13.3 0.0 0.0 1.3 3.4 #> 80 80 0.5 2.9 9.3 0.0 0.0 0.6 2.3 #> 81 81 0.5 2.9 9.3 0.0 0.0 0.6 2.3 #> 82 82 0.5 2.9 9.3 0.0 0.0 0.6 2.3 #> 83 83 0.5 2.9 9.3 0.0 0.0 0.6 2.3 #> 84 84 0.5 2.9 9.3 0.0 0.0 0.6 2.3 #> 85 85 0.0 1.2 7.0 0.0 0.0 0.4 0.8 #> 86 86 0.0 1.2 7.0 0.0 0.0 0.4 0.8 #> 87 87 0.0 1.2 7.0 0.0 0.0 0.4 0.8 #> 88 88 0.0 1.2 7.0 0.0 0.0 0.4 0.8 #> 89 89 0.0 1.2 7.0 0.0 0.0 0.4 0.8 #> 90 90 0.0 1.1 3.3 0.0 0.0 0.4 0.8 #> 91 91 0.0 1.1 3.3 0.0 0.0 0.4 0.8 #> 92 92 0.0 1.1 3.3 0.0 0.0 0.4 0.8 #> 93 93 0.0 1.1 3.3 0.0 0.0 0.4 0.8 #> 94 94 0.0 1.1 3.3 0.0 0.0 0.4 0.8 #> 95 95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 96 96 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 97 97 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 98 98 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 99 99 0.0 0.0 0.0 0.0 0.0 0.0 0.0 #> 100 100 0.0 0.0 0.0 0.0 0.0 0.0 0.0# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiCMR2013[ppiCMR2013$score == ppiScore, ]#> score nl100 nl150 nl200 extreme ppp125 ppp200 ppp250 #> 50 50 8.3 33.5 56.3 2.3 2.7 18 32.9# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiCMR2013, score == ppiScore)#> score nl100 nl150 nl200 extreme ppp125 ppp200 ppp250 #> 50 50 8.3 33.5 56.3 2.3 2.7 18 32.9# 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 ppiCMR2013[ppiCMR2013$score == ppiScore, "extreme"]#> [1] 2.3