Poverty Probability Index (PPI) lookup table for Tajikistan
ppiTJK2015
A data frame with 9 columns and 101 rows:
scorePPI score
nlFoodFood poverty line
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)
# Access Tajikistan PPI table ppiTJK2015#> score nlFood nl100 nl150 nl200 median ppp125 ppp200 ppp250 #> 0 0 48.2 100.0 100.0 100.0 70.9 18.2 34.0 54.3 #> 1 1 48.2 100.0 100.0 100.0 70.9 18.2 34.0 54.3 #> 2 2 48.2 100.0 100.0 100.0 70.9 18.2 34.0 54.3 #> 3 3 48.2 100.0 100.0 100.0 70.9 18.2 34.0 54.3 #> 4 4 48.2 100.0 100.0 100.0 70.9 18.2 34.0 54.3 #> 5 5 48.2 100.0 100.0 100.0 70.9 18.2 34.0 54.3 #> 6 6 48.2 100.0 100.0 100.0 70.9 18.2 34.0 54.3 #> 7 7 48.2 100.0 100.0 100.0 70.9 18.2 34.0 54.3 #> 8 8 48.2 100.0 100.0 100.0 70.9 18.2 34.0 54.3 #> 9 9 48.2 100.0 100.0 100.0 70.9 18.2 34.0 54.3 #> 10 10 48.2 100.0 100.0 100.0 68.1 13.6 33.4 54.3 #> 11 11 48.2 100.0 100.0 100.0 68.1 13.6 33.4 54.3 #> 12 12 48.2 100.0 100.0 100.0 68.1 13.6 33.4 54.3 #> 13 13 48.2 100.0 100.0 100.0 68.1 13.6 33.4 54.3 #> 14 14 48.2 100.0 100.0 100.0 68.1 13.6 33.4 54.3 #> 15 15 48.2 100.0 100.0 100.0 62.1 3.6 29.2 54.3 #> 16 16 48.2 100.0 100.0 100.0 62.1 3.6 29.2 54.3 #> 17 17 48.2 100.0 100.0 100.0 62.1 3.6 29.2 54.3 #> 18 18 48.2 100.0 100.0 100.0 62.1 3.6 29.2 54.3 #> 19 19 48.2 100.0 100.0 100.0 62.1 3.6 29.2 54.3 #> 20 20 39.0 84.8 99.3 100.0 54.5 3.6 28.4 44.7 #> 21 21 39.0 84.8 99.3 100.0 54.5 3.6 28.4 44.7 #> 22 22 39.0 84.8 99.3 100.0 54.5 3.6 28.4 44.7 #> 23 23 39.0 84.8 99.3 100.0 54.5 3.6 28.4 44.7 #> 24 24 39.0 84.8 99.3 100.0 54.5 3.6 28.4 44.7 #> 25 25 37.8 77.9 96.7 99.5 48.7 2.1 20.0 43.7 #> 26 26 37.8 77.9 96.7 99.5 48.7 2.1 20.0 43.7 #> 27 27 37.8 77.9 96.7 99.5 48.7 2.1 20.0 43.7 #> 28 28 37.8 77.9 96.7 99.5 48.7 2.1 20.0 43.7 #> 29 29 37.8 77.9 96.7 99.5 48.7 2.1 20.0 43.7 #> 30 30 28.3 73.3 95.0 98.9 42.8 2.0 16.4 34.5 #> 31 31 28.3 73.3 95.0 98.9 42.8 2.0 16.4 34.5 #> 32 32 28.3 73.3 95.0 98.9 42.8 2.0 16.4 34.5 #> 33 33 28.3 73.3 95.0 98.9 42.8 2.0 16.4 34.5 #> 34 34 28.3 73.3 95.0 98.9 42.8 2.0 16.4 34.5 #> 35 35 19.2 63.3 91.4 98.1 32.0 0.7 10.3 24.8 #> 36 36 19.2 63.3 91.4 98.1 32.0 0.7 10.3 24.8 #> 37 37 19.2 63.3 91.4 98.1 32.0 0.7 10.3 24.8 #> 38 38 19.2 63.3 91.4 98.1 32.0 0.7 10.3 24.8 #> 39 39 19.2 63.3 91.4 98.1 32.0 0.7 10.3 24.8 #> 40 40 13.3 51.5 85.4 95.7 23.1 0.7 7.5 17.4 #> 41 41 13.3 51.5 85.4 95.7 23.1 0.7 7.5 17.4 #> 42 42 13.3 51.5 85.4 95.7 23.1 0.7 7.5 17.4 #> 43 43 13.3 51.5 85.4 95.7 23.1 0.7 7.5 17.4 #> 44 44 13.3 51.5 85.4 95.7 23.1 0.7 7.5 17.4 #> 45 45 9.7 45.3 81.8 93.0 15.7 0.7 4.4 11.1 #> 46 46 9.7 45.3 81.8 93.0 15.7 0.7 4.4 11.1 #> 47 47 9.7 45.3 81.8 93.0 15.7 0.7 4.4 11.1 #> 48 48 9.7 45.3 81.8 93.0 15.7 0.7 4.4 11.1 #> 49 49 9.7 45.3 81.8 93.0 15.7 0.7 4.4 11.1 #> 50 50 8.2 37.5 72.6 88.0 13.5 0.5 3.6 11.1 #> 51 51 8.2 37.5 72.6 88.0 13.5 0.5 3.6 11.1 #> 52 52 8.2 37.5 72.6 88.0 13.5 0.5 3.6 11.1 #> 53 53 8.2 37.5 72.6 88.0 13.5 0.5 3.6 11.1 #> 54 54 8.2 37.5 72.6 88.0 13.5 0.5 3.6 11.1 #> 55 55 3.9 23.4 56.4 79.6 8.6 0.3 2.5 6.5 #> 56 56 3.9 23.4 56.4 79.6 8.6 0.3 2.5 6.5 #> 57 57 3.9 23.4 56.4 79.6 8.6 0.3 2.5 6.5 #> 58 58 3.9 23.4 56.4 79.6 8.6 0.3 2.5 6.5 #> 59 59 3.9 23.4 56.4 79.6 8.6 0.3 2.5 6.5 #> 60 60 3.6 17.1 47.0 75.5 3.9 0.2 2.5 3.9 #> 61 61 3.6 17.1 47.0 75.5 3.9 0.2 2.5 3.9 #> 62 62 3.6 17.1 47.0 75.5 3.9 0.2 2.5 3.9 #> 63 63 3.6 17.1 47.0 75.5 3.9 0.2 2.5 3.9 #> 64 64 3.6 17.1 47.0 75.5 3.9 0.2 2.5 3.9 #> 65 65 3.3 13.2 39.8 66.6 3.7 0.0 2.4 3.6 #> 66 66 3.3 13.2 39.8 66.6 3.7 0.0 2.4 3.6 #> 67 67 3.3 13.2 39.8 66.6 3.7 0.0 2.4 3.6 #> 68 68 3.3 13.2 39.8 66.6 3.7 0.0 2.4 3.6 #> 69 69 3.3 13.2 39.8 66.6 3.7 0.0 2.4 3.6 #> 70 70 1.3 12.8 29.7 46.4 1.9 0.0 1.3 1.6 #> 71 71 1.3 12.8 29.7 46.4 1.9 0.0 1.3 1.6 #> 72 72 1.3 12.8 29.7 46.4 1.9 0.0 1.3 1.6 #> 73 73 1.3 12.8 29.7 46.4 1.9 0.0 1.3 1.6 #> 74 74 1.3 12.8 29.7 46.4 1.9 0.0 1.3 1.6 #> 75 75 0.7 4.8 23.1 38.1 1.0 0.0 0.7 1.0 #> 76 76 0.7 4.8 23.1 38.1 1.0 0.0 0.7 1.0 #> 77 77 0.7 4.8 23.1 38.1 1.0 0.0 0.7 1.0 #> 78 78 0.7 4.8 23.1 38.1 1.0 0.0 0.7 1.0 #> 79 79 0.7 4.8 23.1 38.1 1.0 0.0 0.7 1.0 #> 80 80 0.0 0.0 22.4 38.1 0.0 0.0 0.0 0.0 #> 81 81 0.0 0.0 22.4 38.1 0.0 0.0 0.0 0.0 #> 82 82 0.0 0.0 22.4 38.1 0.0 0.0 0.0 0.0 #> 83 83 0.0 0.0 22.4 38.1 0.0 0.0 0.0 0.0 #> 84 84 0.0 0.0 22.4 38.1 0.0 0.0 0.0 0.0 #> 85 85 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 86 86 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 87 87 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 88 88 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 89 89 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 90 90 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 91 91 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 92 92 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 93 93 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 94 94 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 95 95 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 96 96 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 97 97 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 98 98 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 99 99 0.0 0.0 0.0 8.7 0.0 0.0 0.0 0.0 #> 100 100 0.0 0.0 0.0 8.7 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 ppiTJK2015[ppiTJK2015$score == ppiScore, ]#> score nlFood nl100 nl150 nl200 median ppp125 ppp200 ppp250 #> 50 50 8.2 37.5 72.6 88 13.5 0.5 3.6 11.1# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiTJK2015, score == ppiScore)#> score nlFood nl100 nl150 nl200 median ppp125 ppp200 ppp250 #> 50 50 8.2 37.5 72.6 88 13.5 0.5 3.6 11.1# 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 ppiTJK2015[ppiTJK2015$score == ppiScore, "nl100"]#> [1] 37.5