Poverty Probability Index (PPI) lookup table for Nigeria
ppiNGA2015
A data frame with 13 columns and 101 rows:
scorePPI score
nlFoodFood poverty line
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)
ppp190Below $1.90 per day purchasing power parity (2011)
ppp310Below $3.10 per day purchasing power parity (2011)
# Access Nigeria PPI table ppiNGA2015#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp400 ppp500 #> 0 0 92.7 100.0 100.0 100.0 96.3 100.0 100.0 100.0 100.0 100.0 #> 1 1 92.7 100.0 100.0 100.0 96.3 100.0 100.0 100.0 100.0 100.0 #> 2 2 92.7 100.0 100.0 100.0 96.3 100.0 100.0 100.0 100.0 100.0 #> 3 3 92.7 100.0 100.0 100.0 96.3 100.0 100.0 100.0 100.0 100.0 #> 4 4 92.7 100.0 100.0 100.0 96.3 100.0 100.0 100.0 100.0 100.0 #> 5 5 92.7 100.0 100.0 100.0 96.3 100.0 100.0 100.0 100.0 100.0 #> 6 6 92.7 100.0 100.0 100.0 96.3 100.0 100.0 100.0 100.0 100.0 #> 7 7 92.7 100.0 100.0 100.0 96.3 100.0 100.0 100.0 100.0 100.0 #> 8 8 92.7 100.0 100.0 100.0 96.3 100.0 100.0 100.0 100.0 100.0 #> 9 9 92.7 100.0 100.0 100.0 96.3 100.0 100.0 100.0 100.0 100.0 #> 10 10 55.5 87.9 98.5 100.0 67.0 81.0 98.5 100.0 100.0 100.0 #> 11 11 55.5 87.9 98.5 100.0 67.0 81.0 98.5 100.0 100.0 100.0 #> 12 12 55.5 87.9 98.5 100.0 67.0 81.0 98.5 100.0 100.0 100.0 #> 13 13 55.5 87.9 98.5 100.0 67.0 81.0 98.5 100.0 100.0 100.0 #> 14 14 55.5 87.9 98.5 100.0 67.0 81.0 98.5 100.0 100.0 100.0 #> 15 15 51.9 82.1 98.5 100.0 60.1 77.7 98.5 100.0 100.0 100.0 #> 16 16 51.9 82.1 98.5 100.0 60.1 77.7 98.5 100.0 100.0 100.0 #> 17 17 51.9 82.1 98.5 100.0 60.1 77.7 98.5 100.0 100.0 100.0 #> 18 18 51.9 82.1 98.5 100.0 60.1 77.7 98.5 100.0 100.0 100.0 #> 19 19 51.9 82.1 98.5 100.0 60.1 77.7 98.5 100.0 100.0 100.0 #> 20 20 44.2 75.9 95.8 97.7 50.4 74.1 96.1 97.5 99.7 99.8 #> 21 21 44.2 75.9 95.8 97.7 50.4 74.1 96.1 97.5 99.7 99.8 #> 22 22 44.2 75.9 95.8 97.7 50.4 74.1 96.1 97.5 99.7 99.8 #> 23 23 44.2 75.9 95.8 97.7 50.4 74.1 96.1 97.5 99.7 99.8 #> 24 24 44.2 75.9 95.8 97.7 50.4 74.1 96.1 97.5 99.7 99.8 #> 25 25 28.8 69.6 92.8 96.8 37.6 63.1 92.9 96.4 99.6 99.8 #> 26 26 28.8 69.6 92.8 96.8 37.6 63.1 92.9 96.4 99.6 99.8 #> 27 27 28.8 69.6 92.8 96.8 37.6 63.1 92.9 96.4 99.6 99.8 #> 28 28 28.8 69.6 92.8 96.8 37.6 63.1 92.9 96.4 99.6 99.8 #> 29 29 28.8 69.6 92.8 96.8 37.6 63.1 92.9 96.4 99.6 99.8 #> 30 30 19.2 53.4 84.1 93.8 27.1 48.8 85.0 92.5 99.2 99.8 #> 31 31 19.2 53.4 84.1 93.8 27.1 48.8 85.0 92.5 99.2 99.8 #> 32 32 19.2 53.4 84.1 93.8 27.1 48.8 85.0 92.5 99.2 99.8 #> 33 33 19.2 53.4 84.1 93.8 27.1 48.8 85.0 92.5 99.2 99.8 #> 34 34 19.2 53.4 84.1 93.8 27.1 48.8 85.0 92.5 99.2 99.8 #> 35 35 12.7 40.1 75.4 90.9 18.5 35.8 76.6 87.5 98.5 99.2 #> 36 36 12.7 40.1 75.4 90.9 18.5 35.8 76.6 87.5 98.5 99.2 #> 37 37 12.7 40.1 75.4 90.9 18.5 35.8 76.6 87.5 98.5 99.2 #> 38 38 12.7 40.1 75.4 90.9 18.5 35.8 76.6 87.5 98.5 99.2 #> 39 39 12.7 40.1 75.4 90.9 18.5 35.8 76.6 87.5 98.5 99.2 #> 40 40 6.0 30.6 61.2 81.2 10.2 25.8 62.4 78.5 96.5 98.3 #> 41 41 6.0 30.6 61.2 81.2 10.2 25.8 62.4 78.5 96.5 98.3 #> 42 42 6.0 30.6 61.2 81.2 10.2 25.8 62.4 78.5 96.5 98.3 #> 43 43 6.0 30.6 61.2 81.2 10.2 25.8 62.4 78.5 96.5 98.3 #> 44 44 6.0 30.6 61.2 81.2 10.2 25.8 62.4 78.5 96.5 98.3 #> 45 45 4.4 20.9 55.6 78.8 8.3 16.8 56.7 75.5 95.3 98.1 #> 46 46 4.4 20.9 55.6 78.8 8.3 16.8 56.7 75.5 95.3 98.1 #> 47 47 4.4 20.9 55.6 78.8 8.3 16.8 56.7 75.5 95.3 98.1 #> 48 48 4.4 20.9 55.6 78.8 8.3 16.8 56.7 75.5 95.3 98.1 #> 49 49 4.4 20.9 55.6 78.8 8.3 16.8 56.7 75.5 95.3 98.1 #> 50 50 1.9 13.4 43.1 66.4 5.2 11.1 43.5 63.0 90.2 96.6 #> 51 51 1.9 13.4 43.1 66.4 5.2 11.1 43.5 63.0 90.2 96.6 #> 52 52 1.9 13.4 43.1 66.4 5.2 11.1 43.5 63.0 90.2 96.6 #> 53 53 1.9 13.4 43.1 66.4 5.2 11.1 43.5 63.0 90.2 96.6 #> 54 54 1.9 13.4 43.1 66.4 5.2 11.1 43.5 63.0 90.2 96.6 #> 55 55 1.1 5.0 32.0 54.4 2.0 4.6 32.5 49.2 84.3 91.6 #> 56 56 1.1 5.0 32.0 54.4 2.0 4.6 32.5 49.2 84.3 91.6 #> 57 57 1.1 5.0 32.0 54.4 2.0 4.6 32.5 49.2 84.3 91.6 #> 58 58 1.1 5.0 32.0 54.4 2.0 4.6 32.5 49.2 84.3 91.6 #> 59 59 1.1 5.0 32.0 54.4 2.0 4.6 32.5 49.2 84.3 91.6 #> 60 60 0.2 3.8 25.9 49.4 0.3 2.9 26.5 44.9 82.3 87.7 #> 61 61 0.2 3.8 25.9 49.4 0.3 2.9 26.5 44.9 82.3 87.7 #> 62 62 0.2 3.8 25.9 49.4 0.3 2.9 26.5 44.9 82.3 87.7 #> 63 63 0.2 3.8 25.9 49.4 0.3 2.9 26.5 44.9 82.3 87.7 #> 64 64 0.2 3.8 25.9 49.4 0.3 2.9 26.5 44.9 82.3 87.7 #> 65 65 0.2 2.7 14.2 35.4 0.3 2.5 14.3 32.1 70.0 83.2 #> 66 66 0.2 2.7 14.2 35.4 0.3 2.5 14.3 32.1 70.0 83.2 #> 67 67 0.2 2.7 14.2 35.4 0.3 2.5 14.3 32.1 70.0 83.2 #> 68 68 0.2 2.7 14.2 35.4 0.3 2.5 14.3 32.1 70.0 83.2 #> 69 69 0.2 2.7 14.2 35.4 0.3 2.5 14.3 32.1 70.0 83.2 #> 70 70 0.2 2.6 9.3 22.4 0.3 2.5 9.5 19.1 55.3 73.6 #> 71 71 0.2 2.6 9.3 22.4 0.3 2.5 9.5 19.1 55.3 73.6 #> 72 72 0.2 2.6 9.3 22.4 0.3 2.5 9.5 19.1 55.3 73.6 #> 73 73 0.2 2.6 9.3 22.4 0.3 2.5 9.5 19.1 55.3 73.6 #> 74 74 0.2 2.6 9.3 22.4 0.3 2.5 9.5 19.1 55.3 73.6 #> 75 75 0.0 0.0 2.7 7.9 0.0 0.0 2.7 7.1 43.2 59.9 #> ppp190 ppp310 #> 0 96.3 100.0 #> 1 96.3 100.0 #> 2 96.3 100.0 #> 3 96.3 100.0 #> 4 96.3 100.0 #> 5 96.3 100.0 #> 6 96.3 100.0 #> 7 96.3 100.0 #> 8 96.3 100.0 #> 9 96.3 100.0 #> 10 75.7 95.4 #> 11 75.7 95.4 #> 12 75.7 95.4 #> 13 75.7 95.4 #> 14 75.7 95.4 #> 15 71.4 95.3 #> 16 71.4 95.3 #> 17 71.4 95.3 #> 18 71.4 95.3 #> 19 71.4 95.3 #> 20 62.5 92.0 #> 21 62.5 92.0 #> 22 62.5 92.0 #> 23 62.5 92.0 #> 24 62.5 92.0 #> 25 48.0 87.5 #> 26 48.0 87.5 #> 27 48.0 87.5 #> 28 48.0 87.5 #> 29 48.0 87.5 #> 30 36.8 76.4 #> 31 36.8 76.4 #> 32 36.8 76.4 #> 33 36.8 76.4 #> 34 36.8 76.4 #> 35 25.9 65.8 #> 36 25.9 65.8 #> 37 25.9 65.8 #> 38 25.9 65.8 #> 39 25.9 65.8 #> 40 15.4 50.7 #> 41 15.4 50.7 #> 42 15.4 50.7 #> 43 15.4 50.7 #> 44 15.4 50.7 #> 45 10.6 42.5 #> 46 10.6 42.5 #> 47 10.6 42.5 #> 48 10.6 42.5 #> 49 10.6 42.5 #> 50 7.9 32.0 #> 51 7.9 32.0 #> 52 7.9 32.0 #> 53 7.9 32.0 #> 54 7.9 32.0 #> 55 2.9 20.4 #> 56 2.9 20.4 #> 57 2.9 20.4 #> 58 2.9 20.4 #> 59 2.9 20.4 #> 60 0.5 15.4 #> 61 0.5 15.4 #> 62 0.5 15.4 #> 63 0.5 15.4 #> 64 0.5 15.4 #> 65 0.5 7.8 #> 66 0.5 7.8 #> 67 0.5 7.8 #> 68 0.5 7.8 #> 69 0.5 7.8 #> 70 0.5 4.8 #> 71 0.5 4.8 #> 72 0.5 4.8 #> 73 0.5 4.8 #> 74 0.5 4.8 #> 75 0.0 1.8 #> [ 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 ppiNGA2015[ppiNGA2015$score == ppiScore, ]#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp400 ppp500 #> 50 50 1.9 13.4 43.1 66.4 5.2 11.1 43.5 63 90.2 96.6 #> ppp190 ppp310 #> 50 7.9 32# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiNGA2015, score == ppiScore)#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp200 ppp250 ppp400 ppp500 #> 50 50 1.9 13.4 43.1 66.4 5.2 11.1 43.5 63 90.2 96.6 #> ppp190 ppp310 #> 50 7.9 32# 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 ppiNGA2015[ppiNGA2015$score == ppiScore, "nl100"]#> [1] 13.4