Poverty Probability Index (PPI) lookup table for Kyrgyzstan
ppiKGZ2015
A data frame with 9 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
medianPoorest 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)
ppp500Below $5.00 per day purchasing power parity (2005)
# Access Kyrgyzstan PPI table ppiKGZ2015#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp500 #> 0 0 100.0 100.0 100.0 91.5 5.8 88.9 100.0 100.0 #> 1 1 100.0 100.0 100.0 91.5 5.8 88.9 100.0 100.0 #> 2 2 100.0 100.0 100.0 91.5 5.8 88.9 100.0 100.0 #> 3 3 100.0 100.0 100.0 91.5 5.8 88.9 100.0 100.0 #> 4 4 100.0 100.0 100.0 91.5 5.8 88.9 100.0 100.0 #> 5 5 98.0 100.0 100.0 88.6 1.6 71.4 92.0 100.0 #> 6 6 98.0 100.0 100.0 88.6 1.6 71.4 92.0 100.0 #> 7 7 98.0 100.0 100.0 88.6 1.6 71.4 92.0 100.0 #> 8 8 98.0 100.0 100.0 88.6 1.6 71.4 92.0 100.0 #> 9 9 98.0 100.0 100.0 88.6 1.6 71.4 92.0 100.0 #> 10 10 96.6 100.0 100.0 59.9 1.4 51.3 78.7 100.0 #> 11 11 96.6 100.0 100.0 59.9 1.4 51.3 78.7 100.0 #> 12 12 96.6 100.0 100.0 59.9 1.4 51.3 78.7 100.0 #> 13 13 96.6 100.0 100.0 59.9 1.4 51.3 78.7 100.0 #> 14 14 96.6 100.0 100.0 59.9 1.4 51.3 78.7 100.0 #> 15 15 89.9 100.0 100.0 55.3 1.4 38.7 74.5 100.0 #> 16 16 89.9 100.0 100.0 55.3 1.4 38.7 74.5 100.0 #> 17 17 89.9 100.0 100.0 55.3 1.4 38.7 74.5 100.0 #> 18 18 89.9 100.0 100.0 55.3 1.4 38.7 74.5 100.0 #> 19 19 89.9 100.0 100.0 55.3 1.4 38.7 74.5 100.0 #> 20 20 77.3 99.8 100.0 39.5 1.4 24.3 58.4 100.0 #> 21 21 77.3 99.8 100.0 39.5 1.4 24.3 58.4 100.0 #> 22 22 77.3 99.8 100.0 39.5 1.4 24.3 58.4 100.0 #> 23 23 77.3 99.8 100.0 39.5 1.4 24.3 58.4 100.0 #> 24 24 77.3 99.8 100.0 39.5 1.4 24.3 58.4 100.0 #> 25 25 68.0 99.1 100.0 30.5 1.1 15.8 45.7 100.0 #> 26 26 68.0 99.1 100.0 30.5 1.1 15.8 45.7 100.0 #> 27 27 68.0 99.1 100.0 30.5 1.1 15.8 45.7 100.0 #> 28 28 68.0 99.1 100.0 30.5 1.1 15.8 45.7 100.0 #> 29 29 68.0 99.1 100.0 30.5 1.1 15.8 45.7 100.0 #> 30 30 46.5 96.1 100.0 20.2 0.9 9.3 27.1 99.7 #> 31 31 46.5 96.1 100.0 20.2 0.9 9.3 27.1 99.7 #> 32 32 46.5 96.1 100.0 20.2 0.9 9.3 27.1 99.7 #> 33 33 46.5 96.1 100.0 20.2 0.9 9.3 27.1 99.7 #> 34 34 46.5 96.1 100.0 20.2 0.9 9.3 27.1 99.7 #> 35 35 40.7 89.4 99.9 12.6 0.3 4.5 19.2 96.0 #> 36 36 40.7 89.4 99.9 12.6 0.3 4.5 19.2 96.0 #> 37 37 40.7 89.4 99.9 12.6 0.3 4.5 19.2 96.0 #> 38 38 40.7 89.4 99.9 12.6 0.3 4.5 19.2 96.0 #> 39 39 40.7 89.4 99.9 12.6 0.3 4.5 19.2 96.0 #> 40 40 15.8 76.6 95.6 6.2 0.1 3.9 10.0 92.1 #> 41 41 15.8 76.6 95.6 6.2 0.1 3.9 10.0 92.1 #> 42 42 15.8 76.6 95.6 6.2 0.1 3.9 10.0 92.1 #> 43 43 15.8 76.6 95.6 6.2 0.1 3.9 10.0 92.1 #> 44 44 15.8 76.6 95.6 6.2 0.1 3.9 10.0 92.1 #> 45 45 11.7 65.2 90.5 5.4 0.1 2.5 7.3 85.2 #> 46 46 11.7 65.2 90.5 5.4 0.1 2.5 7.3 85.2 #> 47 47 11.7 65.2 90.5 5.4 0.1 2.5 7.3 85.2 #> 48 48 11.7 65.2 90.5 5.4 0.1 2.5 7.3 85.2 #> 49 49 11.7 65.2 90.5 5.4 0.1 2.5 7.3 85.2 #> 50 50 4.1 43.9 80.5 1.2 0.0 0.2 3.1 69.5 #> 51 51 4.1 43.9 80.5 1.2 0.0 0.2 3.1 69.5 #> 52 52 4.1 43.9 80.5 1.2 0.0 0.2 3.1 69.5 #> 53 53 4.1 43.9 80.5 1.2 0.0 0.2 3.1 69.5 #> 54 54 4.1 43.9 80.5 1.2 0.0 0.2 3.1 69.5 #> 55 55 3.9 27.3 60.2 0.7 0.0 0.2 2.2 50.3 #> 56 56 3.9 27.3 60.2 0.7 0.0 0.2 2.2 50.3 #> 57 57 3.9 27.3 60.2 0.7 0.0 0.2 2.2 50.3 #> 58 58 3.9 27.3 60.2 0.7 0.0 0.2 2.2 50.3 #> 59 59 3.9 27.3 60.2 0.7 0.0 0.2 2.2 50.3 #> 60 60 2.9 21.4 51.0 0.4 0.0 0.2 1.6 39.8 #> 61 61 2.9 21.4 51.0 0.4 0.0 0.2 1.6 39.8 #> 62 62 2.9 21.4 51.0 0.4 0.0 0.2 1.6 39.8 #> 63 63 2.9 21.4 51.0 0.4 0.0 0.2 1.6 39.8 #> 64 64 2.9 21.4 51.0 0.4 0.0 0.2 1.6 39.8 #> 65 65 1.3 6.9 38.8 0.4 0.0 0.2 0.9 25.0 #> 66 66 1.3 6.9 38.8 0.4 0.0 0.2 0.9 25.0 #> 67 67 1.3 6.9 38.8 0.4 0.0 0.2 0.9 25.0 #> 68 68 1.3 6.9 38.8 0.4 0.0 0.2 0.9 25.0 #> 69 69 1.3 6.9 38.8 0.4 0.0 0.2 0.9 25.0 #> 70 70 1.2 4.5 31.6 0.4 0.0 0.2 0.9 19.6 #> 71 71 1.2 4.5 31.6 0.4 0.0 0.2 0.9 19.6 #> 72 72 1.2 4.5 31.6 0.4 0.0 0.2 0.9 19.6 #> 73 73 1.2 4.5 31.6 0.4 0.0 0.2 0.9 19.6 #> 74 74 1.2 4.5 31.6 0.4 0.0 0.2 0.9 19.6 #> 75 75 1.2 4.5 18.9 0.4 0.0 0.2 0.9 12.1 #> 76 76 1.2 4.5 18.9 0.4 0.0 0.2 0.9 12.1 #> 77 77 1.2 4.5 18.9 0.4 0.0 0.2 0.9 12.1 #> 78 78 1.2 4.5 18.9 0.4 0.0 0.2 0.9 12.1 #> 79 79 1.2 4.5 18.9 0.4 0.0 0.2 0.9 12.1 #> 80 80 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 81 81 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 82 82 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 83 83 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 84 84 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 85 85 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 86 86 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 87 87 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 88 88 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 89 89 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 90 90 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 91 91 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 92 92 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 93 93 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 94 94 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 95 95 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 96 96 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 97 97 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 98 98 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 99 99 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1 #> 100 100 1.2 4.5 18.7 0.4 0.0 0.2 0.9 12.1# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiKGZ2015[ppiKGZ2015$score == ppiScore, ]#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp500 #> 50 50 4.1 43.9 80.5 1.2 0 0.2 3.1 69.5# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiKGZ2015, score == ppiScore)#> score nl100 nl150 nl200 median ppp125 ppp200 ppp250 ppp500 #> 50 50 4.1 43.9 80.5 1.2 0 0.2 3.1 69.5# 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 ppiKGZ2015[ppiKGZ2015$score == ppiScore, "nl100"]#> [1] 4.1