Poverty Probability Index (PPI) lookup table for Tajikistan
Format
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)
Examples
# 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