Poverty Probability Index (PPI) lookup table for Namibia
ppiNAM2013
A data frame with 9 columns and 101 rows:
scorePPI score
nl100National lower poverty line (100%)
nu100National upper poverty line (100%)
nu150National upper poverty line (150%)
nu200National upper 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 Namibia PPI table ppiNAM2013#> score nl100 nu100 nu150 nu200 extreme ppp125 ppp200 ppp250 #> 0 0 77.4 96.2 100.0 100.0 80.2 87.1 100.0 100.0 #> 1 1 77.4 96.2 100.0 100.0 80.2 87.1 100.0 100.0 #> 2 2 77.4 96.2 100.0 100.0 80.2 87.1 100.0 100.0 #> 3 3 77.4 96.2 100.0 100.0 80.2 87.1 100.0 100.0 #> 4 4 77.4 96.2 100.0 100.0 80.2 87.1 100.0 100.0 #> 5 5 71.4 89.3 100.0 100.0 75.3 84.3 100.0 100.0 #> 6 6 71.4 89.3 100.0 100.0 75.3 84.3 100.0 100.0 #> 7 7 71.4 89.3 100.0 100.0 75.3 84.3 100.0 100.0 #> 8 8 71.4 89.3 100.0 100.0 75.3 84.3 100.0 100.0 #> 9 9 71.4 89.3 100.0 100.0 75.3 84.3 100.0 100.0 #> 10 10 68.9 82.6 98.9 99.4 69.8 79.0 98.9 99.3 #> 11 11 68.9 82.6 98.9 99.4 69.8 79.0 98.9 99.3 #> 12 12 68.9 82.6 98.9 99.4 69.8 79.0 98.9 99.3 #> 13 13 68.9 82.6 98.9 99.4 69.8 79.0 98.9 99.3 #> 14 14 68.9 82.6 98.9 99.4 69.8 79.0 98.9 99.3 #> 15 15 46.6 74.7 93.3 98.9 48.3 60.7 91.5 97.0 #> 16 16 46.6 74.7 93.3 98.9 48.3 60.7 91.5 97.0 #> 17 17 46.6 74.7 93.3 98.9 48.3 60.7 91.5 97.0 #> 18 18 46.6 74.7 93.3 98.9 48.3 60.7 91.5 97.0 #> 19 19 46.6 74.7 93.3 98.9 48.3 60.7 91.5 97.0 #> 20 20 42.3 66.9 92.0 98.5 40.9 52.9 88.5 95.8 #> 21 21 42.3 66.9 92.0 98.5 40.9 52.9 88.5 95.8 #> 22 22 42.3 66.9 92.0 98.5 40.9 52.9 88.5 95.8 #> 23 23 42.3 66.9 92.0 98.5 40.9 52.9 88.5 95.8 #> 24 24 42.3 66.9 92.0 98.5 40.9 52.9 88.5 95.8 #> 25 25 21.9 51.8 81.6 90.7 19.9 33.7 73.1 86.5 #> 26 26 21.9 51.8 81.6 90.7 19.9 33.7 73.1 86.5 #> 27 27 21.9 51.8 81.6 90.7 19.9 33.7 73.1 86.5 #> 28 28 21.9 51.8 81.6 90.7 19.9 33.7 73.1 86.5 #> 29 29 21.9 51.8 81.6 90.7 19.9 33.7 73.1 86.5 #> 30 30 17.1 39.4 70.5 88.9 15.7 24.7 63.0 80.3 #> 31 31 17.1 39.4 70.5 88.9 15.7 24.7 63.0 80.3 #> 32 32 17.1 39.4 70.5 88.9 15.7 24.7 63.0 80.3 #> 33 33 17.1 39.4 70.5 88.9 15.7 24.7 63.0 80.3 #> 34 34 17.1 39.4 70.5 88.9 15.7 24.7 63.0 80.3 #> 35 35 11.3 30.3 66.2 86.3 8.1 17.3 55.9 72.3 #> 36 36 11.3 30.3 66.2 86.3 8.1 17.3 55.9 72.3 #> 37 37 11.3 30.3 66.2 86.3 8.1 17.3 55.9 72.3 #> 38 38 11.3 30.3 66.2 86.3 8.1 17.3 55.9 72.3 #> 39 39 11.3 30.3 66.2 86.3 8.1 17.3 55.9 72.3 #> 40 40 6.0 16.7 51.2 71.9 3.4 9.3 35.9 57.1 #> 41 41 6.0 16.7 51.2 71.9 3.4 9.3 35.9 57.1 #> 42 42 6.0 16.7 51.2 71.9 3.4 9.3 35.9 57.1 #> 43 43 6.0 16.7 51.2 71.9 3.4 9.3 35.9 57.1 #> 44 44 6.0 16.7 51.2 71.9 3.4 9.3 35.9 57.1 #> 45 45 3.1 12.2 40.7 64.0 1.6 4.2 26.4 44.4 #> 46 46 3.1 12.2 40.7 64.0 1.6 4.2 26.4 44.4 #> 47 47 3.1 12.2 40.7 64.0 1.6 4.2 26.4 44.4 #> 48 48 3.1 12.2 40.7 64.0 1.6 4.2 26.4 44.4 #> 49 49 3.1 12.2 40.7 64.0 1.6 4.2 26.4 44.4 #> 50 50 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3 #> 51 51 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3 #> 52 52 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3 #> 53 53 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3 #> 54 54 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3 #> 55 55 1.1 4.9 17.7 36.9 0.7 1.1 10.4 19.4 #> 56 56 1.1 4.9 17.7 36.9 0.7 1.1 10.4 19.4 #> 57 57 1.1 4.9 17.7 36.9 0.7 1.1 10.4 19.4 #> 58 58 1.1 4.9 17.7 36.9 0.7 1.1 10.4 19.4 #> 59 59 1.1 4.9 17.7 36.9 0.7 1.1 10.4 19.4 #> 60 60 0.7 2.3 11.5 28.9 0.5 0.8 6.2 12.4 #> 61 61 0.7 2.3 11.5 28.9 0.5 0.8 6.2 12.4 #> 62 62 0.7 2.3 11.5 28.9 0.5 0.8 6.2 12.4 #> 63 63 0.7 2.3 11.5 28.9 0.5 0.8 6.2 12.4 #> 64 64 0.7 2.3 11.5 28.9 0.5 0.8 6.2 12.4 #> 65 65 0.6 1.7 5.3 18.2 0.5 0.8 3.8 6.2 #> 66 66 0.6 1.7 5.3 18.2 0.5 0.8 3.8 6.2 #> 67 67 0.6 1.7 5.3 18.2 0.5 0.8 3.8 6.2 #> 68 68 0.6 1.7 5.3 18.2 0.5 0.8 3.8 6.2 #> 69 69 0.6 1.7 5.3 18.2 0.5 0.8 3.8 6.2 #> 70 70 0.6 1.7 5.3 12.0 0.5 0.8 3.8 6.2 #> 71 71 0.6 1.7 5.3 12.0 0.5 0.8 3.8 6.2 #> 72 72 0.6 1.7 5.3 12.0 0.5 0.8 3.8 6.2 #> 73 73 0.6 1.7 5.3 12.0 0.5 0.8 3.8 6.2 #> 74 74 0.6 1.7 5.3 12.0 0.5 0.8 3.8 6.2 #> 75 75 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2 #> 76 76 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2 #> 77 77 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2 #> 78 78 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2 #> 79 79 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2 #> 80 80 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2 #> 81 81 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2 #> 82 82 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2 #> 83 83 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2 #> 84 84 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2 #> 85 85 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 86 86 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 87 87 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 88 88 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 89 89 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 90 90 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 91 91 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 92 92 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 93 93 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 94 94 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 95 95 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 96 96 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 97 97 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 98 98 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 99 99 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2 #> 100 100 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiNAM2013[ppiNAM2013$score == ppiScore, ]#> score nl100 nu100 nu150 nu200 extreme ppp125 ppp200 ppp250 #> 50 50 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiNAM2013, score == ppiScore)#> score nl100 nu100 nu150 nu200 extreme ppp125 ppp200 ppp250 #> 50 50 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3# 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 ppiNAM2013[ppiNAM2013$score == ppiScore, "nl100"]#> [1] 2.1