Poverty Probability Index (PPI) lookup table for Uganda
ppiUGA2015
A data frame with 13 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
half100Poorest half below 100% national
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)
ppp400Below $4.00 per day purchasing power parity (2005)
ppp500Below $5.00 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 Uganda PPI table ppiUGA2015#> score nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp400 ppp500 ppp844 #> 0 0 87.3 97.3 99.2 70.8 96.7 99.4 99.7 100.0 100.0 100.0 #> 1 1 87.3 97.3 99.2 70.8 96.7 99.4 99.7 100.0 100.0 100.0 #> 2 2 87.3 97.3 99.2 70.8 96.7 99.4 99.7 100.0 100.0 100.0 #> 3 3 87.3 97.3 99.2 70.8 96.7 99.4 99.7 100.0 100.0 100.0 #> 4 4 87.3 97.3 99.2 70.8 96.7 99.4 99.7 100.0 100.0 100.0 #> 5 5 79.0 94.3 97.9 53.1 92.1 98.4 99.5 100.0 100.0 100.0 #> 6 6 79.0 94.3 97.9 53.1 92.1 98.4 99.5 100.0 100.0 100.0 #> 7 7 79.0 94.3 97.9 53.1 92.1 98.4 99.5 100.0 100.0 100.0 #> 8 8 79.0 94.3 97.9 53.1 92.1 98.4 99.5 100.0 100.0 100.0 #> 9 9 79.0 94.3 97.9 53.1 92.1 98.4 99.5 100.0 100.0 100.0 #> 10 10 58.7 82.3 93.6 31.1 76.0 94.2 98.3 99.8 100.0 100.0 #> 11 11 58.7 82.3 93.6 31.1 76.0 94.2 98.3 99.8 100.0 100.0 #> 12 12 58.7 82.3 93.6 31.1 76.0 94.2 98.3 99.8 100.0 100.0 #> 13 13 58.7 82.3 93.6 31.1 76.0 94.2 98.3 99.8 100.0 100.0 #> 14 14 58.7 82.3 93.6 31.1 76.0 94.2 98.3 99.8 100.0 100.0 #> 15 15 39.9 75.3 89.2 22.1 65.3 91.5 95.0 99.5 100.0 100.0 #> 16 16 39.9 75.3 89.2 22.1 65.3 91.5 95.0 99.5 100.0 100.0 #> 17 17 39.9 75.3 89.2 22.1 65.3 91.5 95.0 99.5 100.0 100.0 #> 18 18 39.9 75.3 89.2 22.1 65.3 91.5 95.0 99.5 100.0 100.0 #> 19 19 39.9 75.3 89.2 22.1 65.3 91.5 95.0 99.5 100.0 100.0 #> 20 20 30.4 72.0 88.6 11.7 58.4 90.4 95.0 99.0 99.9 100.0 #> 21 21 30.4 72.0 88.6 11.7 58.4 90.4 95.0 99.0 99.9 100.0 #> 22 22 30.4 72.0 88.6 11.7 58.4 90.4 95.0 99.0 99.9 100.0 #> 23 23 30.4 72.0 88.6 11.7 58.4 90.4 95.0 99.0 99.9 100.0 #> 24 24 30.4 72.0 88.6 11.7 58.4 90.4 95.0 99.0 99.9 100.0 #> 25 25 23.0 59.2 80.1 7.4 45.3 82.2 92.9 98.8 99.6 100.0 #> 26 26 23.0 59.2 80.1 7.4 45.3 82.2 92.9 98.8 99.6 100.0 #> 27 27 23.0 59.2 80.1 7.4 45.3 82.2 92.9 98.8 99.6 100.0 #> 28 28 23.0 59.2 80.1 7.4 45.3 82.2 92.9 98.8 99.6 100.0 #> 29 29 23.0 59.2 80.1 7.4 45.3 82.2 92.9 98.8 99.6 100.0 #> 30 30 10.0 37.3 66.9 3.9 27.9 66.9 82.6 95.4 99.0 99.8 #> 31 31 10.0 37.3 66.9 3.9 27.9 66.9 82.6 95.4 99.0 99.8 #> 32 32 10.0 37.3 66.9 3.9 27.9 66.9 82.6 95.4 99.0 99.8 #> 33 33 10.0 37.3 66.9 3.9 27.9 66.9 82.6 95.4 99.0 99.8 #> 34 34 10.0 37.3 66.9 3.9 27.9 66.9 82.6 95.4 99.0 99.8 #> 35 35 7.0 32.5 60.3 2.1 23.9 60.5 77.2 93.1 97.2 99.4 #> 36 36 7.0 32.5 60.3 2.1 23.9 60.5 77.2 93.1 97.2 99.4 #> 37 37 7.0 32.5 60.3 2.1 23.9 60.5 77.2 93.1 97.2 99.4 #> 38 38 7.0 32.5 60.3 2.1 23.9 60.5 77.2 93.1 97.2 99.4 #> 39 39 7.0 32.5 60.3 2.1 23.9 60.5 77.2 93.1 97.2 99.4 #> 40 40 6.3 28.7 54.7 2.1 20.1 56.6 71.5 91.6 95.0 99.1 #> 41 41 6.3 28.7 54.7 2.1 20.1 56.6 71.5 91.6 95.0 99.1 #> 42 42 6.3 28.7 54.7 2.1 20.1 56.6 71.5 91.6 95.0 99.1 #> 43 43 6.3 28.7 54.7 2.1 20.1 56.6 71.5 91.6 95.0 99.1 #> 44 44 6.3 28.7 54.7 2.1 20.1 56.6 71.5 91.6 95.0 99.1 #> 45 45 3.0 21.4 43.3 1.1 10.9 45.7 60.0 81.4 89.2 98.8 #> 46 46 3.0 21.4 43.3 1.1 10.9 45.7 60.0 81.4 89.2 98.8 #> 47 47 3.0 21.4 43.3 1.1 10.9 45.7 60.0 81.4 89.2 98.8 #> 48 48 3.0 21.4 43.3 1.1 10.9 45.7 60.0 81.4 89.2 98.8 #> 49 49 3.0 21.4 43.3 1.1 10.9 45.7 60.0 81.4 89.2 98.8 #> 50 50 1.6 10.7 28.9 0.4 4.9 29.3 45.3 75.0 85.7 96.1 #> 51 51 1.6 10.7 28.9 0.4 4.9 29.3 45.3 75.0 85.7 96.1 #> 52 52 1.6 10.7 28.9 0.4 4.9 29.3 45.3 75.0 85.7 96.1 #> 53 53 1.6 10.7 28.9 0.4 4.9 29.3 45.3 75.0 85.7 96.1 #> 54 54 1.6 10.7 28.9 0.4 4.9 29.3 45.3 75.0 85.7 96.1 #> 55 55 0.5 5.4 16.0 0.2 3.1 19.5 34.2 65.1 73.9 91.8 #> 56 56 0.5 5.4 16.0 0.2 3.1 19.5 34.2 65.1 73.9 91.8 #> 57 57 0.5 5.4 16.0 0.2 3.1 19.5 34.2 65.1 73.9 91.8 #> 58 58 0.5 5.4 16.0 0.2 3.1 19.5 34.2 65.1 73.9 91.8 #> 59 59 0.5 5.4 16.0 0.2 3.1 19.5 34.2 65.1 73.9 91.8 #> 60 60 0.4 2.4 10.8 0.0 0.3 11.1 21.6 57.4 69.1 90.3 #> 61 61 0.4 2.4 10.8 0.0 0.3 11.1 21.6 57.4 69.1 90.3 #> 62 62 0.4 2.4 10.8 0.0 0.3 11.1 21.6 57.4 69.1 90.3 #> 63 63 0.4 2.4 10.8 0.0 0.3 11.1 21.6 57.4 69.1 90.3 #> 64 64 0.4 2.4 10.8 0.0 0.3 11.1 21.6 57.4 69.1 90.3 #> 65 65 0.4 1.0 6.5 0.0 0.0 3.0 10.5 37.7 59.1 86.3 #> 66 66 0.4 1.0 6.5 0.0 0.0 3.0 10.5 37.7 59.1 86.3 #> 67 67 0.4 1.0 6.5 0.0 0.0 3.0 10.5 37.7 59.1 86.3 #> 68 68 0.4 1.0 6.5 0.0 0.0 3.0 10.5 37.7 59.1 86.3 #> 69 69 0.4 1.0 6.5 0.0 0.0 3.0 10.5 37.7 59.1 86.3 #> 70 70 0.0 0.6 3.6 0.0 0.0 0.8 4.9 27.9 40.9 72.3 #> 71 71 0.0 0.6 3.6 0.0 0.0 0.8 4.9 27.9 40.9 72.3 #> 72 72 0.0 0.6 3.6 0.0 0.0 0.8 4.9 27.9 40.9 72.3 #> 73 73 0.0 0.6 3.6 0.0 0.0 0.8 4.9 27.9 40.9 72.3 #> 74 74 0.0 0.6 3.6 0.0 0.0 0.8 4.9 27.9 40.9 72.3 #> 75 75 0.0 0.0 1.7 0.0 0.0 0.0 2.7 17.9 31.3 69.5 #> ppp190 ppp310 #> 0 96.7 99.4 #> 1 96.7 99.4 #> 2 96.7 99.4 #> 3 96.7 99.4 #> 4 96.7 99.4 #> 5 92.5 98.7 #> 6 92.5 98.7 #> 7 92.5 98.7 #> 8 92.5 98.7 #> 9 92.5 98.7 #> 10 81.1 96.6 #> 11 81.1 96.6 #> 12 81.1 96.6 #> 13 81.1 96.6 #> 14 81.1 96.6 #> 15 73.5 93.2 #> 16 73.5 93.2 #> 17 73.5 93.2 #> 18 73.5 93.2 #> 19 73.5 93.2 #> 20 68.3 92.6 #> 21 68.3 92.6 #> 22 68.3 92.6 #> 23 68.3 92.6 #> 24 68.3 92.6 #> 25 54.5 88.1 #> 26 54.5 88.1 #> 27 54.5 88.1 #> 28 54.5 88.1 #> 29 54.5 88.1 #> 30 37.5 76.7 #> 31 37.5 76.7 #> 32 37.5 76.7 #> 33 37.5 76.7 #> 34 37.5 76.7 #> 35 29.7 70.7 #> 36 29.7 70.7 #> 37 29.7 70.7 #> 38 29.7 70.7 #> 39 29.7 70.7 #> 40 26.0 63.5 #> 41 26.0 63.5 #> 42 26.0 63.5 #> 43 26.0 63.5 #> 44 26.0 63.5 #> 45 16.7 51.6 #> 46 16.7 51.6 #> 47 16.7 51.6 #> 48 16.7 51.6 #> 49 16.7 51.6 #> 50 8.1 36.1 #> 51 8.1 36.1 #> 52 8.1 36.1 #> 53 8.1 36.1 #> 54 8.1 36.1 #> 55 4.0 27.9 #> 56 4.0 27.9 #> 57 4.0 27.9 #> 58 4.0 27.9 #> 59 4.0 27.9 #> 60 0.6 17.2 #> 61 0.6 17.2 #> 62 0.6 17.2 #> 63 0.6 17.2 #> 64 0.6 17.2 #> 65 0.4 6.4 #> 66 0.4 6.4 #> 67 0.4 6.4 #> 68 0.4 6.4 #> 69 0.4 6.4 #> 70 0.0 2.1 #> 71 0.0 2.1 #> 72 0.0 2.1 #> 73 0.0 2.1 #> 74 0.0 2.1 #> 75 0.0 0.5 #> [ reached getOption("max.print") -- omitted 25 rows ]# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiUGA2015[ppiUGA2015$score == ppiScore, ]#> score nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp400 ppp500 ppp844 #> 50 50 1.6 10.7 28.9 0.4 4.9 29.3 45.3 75 85.7 96.1 #> ppp190 ppp310 #> 50 8.1 36.1# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiUGA2015, score == ppiScore)#> score nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp400 ppp500 ppp844 #> 50 50 1.6 10.7 28.9 0.4 4.9 29.3 45.3 75 85.7 96.1 #> ppp190 ppp310 #> 50 8.1 36.1# 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 ppiUGA2015[ppiUGA2015$score == ppiScore, "nl100"]#> [1] 1.6