Poverty Probability Index (PPI) lookup table for Romania
Format
A data frame with 9 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
nl150National poverty line (150%)
nl200National poverty line (200%)
extremeUSAID extreme poverty
ppp250Below $2.50 per day purchasing power parity (2005)
ppp375Below $3.75 per day purchasing power parity (2005)
ppp500Below $5.00 per day purchasing power parity (2005)
laekenLaeken poverty line
Examples
# Access Romania PPI table
ppiROU2009
#> score nl100 nl150 nl200 extreme ppp250 ppp375 ppp500 laeken
#> 0 0 77.9 100.0 100.0 77.9 77.9 100.0 100.0 100.0
#> 1 1 77.9 100.0 100.0 77.9 77.9 100.0 100.0 100.0
#> 2 2 77.9 100.0 100.0 77.9 77.9 100.0 100.0 100.0
#> 3 3 77.9 100.0 100.0 77.9 77.9 100.0 100.0 100.0
#> 4 4 77.9 100.0 100.0 77.9 77.9 100.0 100.0 100.0
#> 5 5 68.1 100.0 100.0 57.3 55.6 92.5 100.0 87.6
#> 6 6 68.1 100.0 100.0 57.3 55.6 92.5 100.0 87.6
#> 7 7 68.1 100.0 100.0 57.3 55.6 92.5 100.0 87.6
#> 8 8 68.1 100.0 100.0 57.3 55.6 92.5 100.0 87.6
#> 9 9 68.1 100.0 100.0 57.3 55.6 92.5 100.0 87.6
#> 10 10 50.2 82.8 97.1 45.3 45.3 72.9 93.0 78.5
#> 11 11 50.2 82.8 97.1 45.3 45.3 72.9 93.0 78.5
#> 12 12 50.2 82.8 97.1 45.3 45.3 72.9 93.0 78.5
#> 13 13 50.2 82.8 97.1 45.3 45.3 72.9 93.0 78.5
#> 14 14 50.2 82.8 97.1 45.3 45.3 72.9 93.0 78.5
#> 15 15 46.7 85.3 96.2 35.2 34.9 74.3 92.3 79.9
#> 16 16 46.7 85.3 96.2 35.2 34.9 74.3 92.3 79.9
#> 17 17 46.7 85.3 96.2 35.2 34.9 74.3 92.3 79.9
#> 18 18 46.7 85.3 96.2 35.2 34.9 74.3 92.3 79.9
#> 19 19 46.7 85.3 96.2 35.2 34.9 74.3 92.3 79.9
#> 20 20 32.1 77.4 95.6 18.1 16.0 59.6 89.4 62.6
#> 21 21 32.1 77.4 95.6 18.1 16.0 59.6 89.4 62.6
#> 22 22 32.1 77.4 95.6 18.1 16.0 59.6 89.4 62.6
#> 23 23 32.1 77.4 95.6 18.1 16.0 59.6 89.4 62.6
#> 24 24 32.1 77.4 95.6 18.1 16.0 59.6 89.4 62.6
#> 25 25 25.1 69.3 91.5 10.3 10.1 45.1 76.7 56.6
#> 26 26 25.1 69.3 91.5 10.3 10.1 45.1 76.7 56.6
#> 27 27 25.1 69.3 91.5 10.3 10.1 45.1 76.7 56.6
#> 28 28 25.1 69.3 91.5 10.3 10.1 45.1 76.7 56.6
#> 29 29 25.1 69.3 91.5 10.3 10.1 45.1 76.7 56.6
#> 30 30 14.6 55.6 85.1 4.7 4.3 28.8 56.9 49.1
#> 31 31 14.6 55.6 85.1 4.7 4.3 28.8 56.9 49.1
#> 32 32 14.6 55.6 85.1 4.7 4.3 28.8 56.9 49.1
#> 33 33 14.6 55.6 85.1 4.7 4.3 28.8 56.9 49.1
#> 34 34 14.6 55.6 85.1 4.7 4.3 28.8 56.9 49.1
#> 35 35 8.8 43.5 77.7 1.9 1.6 16.9 45.6 33.1
#> 36 36 8.8 43.5 77.7 1.9 1.6 16.9 45.6 33.1
#> 37 37 8.8 43.5 77.7 1.9 1.6 16.9 45.6 33.1
#> 38 38 8.8 43.5 77.7 1.9 1.6 16.9 45.6 33.1
#> 39 39 8.8 43.5 77.7 1.9 1.6 16.9 45.6 33.1
#> 40 40 4.2 31.0 68.0 0.7 0.7 9.4 33.1 29.3
#> 41 41 4.2 31.0 68.0 0.7 0.7 9.4 33.1 29.3
#> 42 42 4.2 31.0 68.0 0.7 0.7 9.4 33.1 29.3
#> 43 43 4.2 31.0 68.0 0.7 0.7 9.4 33.1 29.3
#> 44 44 4.2 31.0 68.0 0.7 0.7 9.4 33.1 29.3
#> 45 45 2.5 17.8 53.9 0.4 0.4 5.5 20.4 14.3
#> 46 46 2.5 17.8 53.9 0.4 0.4 5.5 20.4 14.3
#> 47 47 2.5 17.8 53.9 0.4 0.4 5.5 20.4 14.3
#> 48 48 2.5 17.8 53.9 0.4 0.4 5.5 20.4 14.3
#> 49 49 2.5 17.8 53.9 0.4 0.4 5.5 20.4 14.3
#> 50 50 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10.0
#> 51 51 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10.0
#> 52 52 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10.0
#> 53 53 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10.0
#> 54 54 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10.0
#> 55 55 0.1 6.3 30.3 0.0 0.0 0.7 6.7 5.9
#> 56 56 0.1 6.3 30.3 0.0 0.0 0.7 6.7 5.9
#> 57 57 0.1 6.3 30.3 0.0 0.0 0.7 6.7 5.9
#> 58 58 0.1 6.3 30.3 0.0 0.0 0.7 6.7 5.9
#> 59 59 0.1 6.3 30.3 0.0 0.0 0.7 6.7 5.9
#> 60 60 0.1 3.2 21.4 0.1 0.1 0.1 4.6 4.9
#> 61 61 0.1 3.2 21.4 0.1 0.1 0.1 4.6 4.9
#> 62 62 0.1 3.2 21.4 0.1 0.1 0.1 4.6 4.9
#> 63 63 0.1 3.2 21.4 0.1 0.1 0.1 4.6 4.9
#> 64 64 0.1 3.2 21.4 0.1 0.1 0.1 4.6 4.9
#> 65 65 0.0 0.7 10.6 0.0 0.0 0.0 1.1 2.2
#> 66 66 0.0 0.7 10.6 0.0 0.0 0.0 1.1 2.2
#> 67 67 0.0 0.7 10.6 0.0 0.0 0.0 1.1 2.2
#> 68 68 0.0 0.7 10.6 0.0 0.0 0.0 1.1 2.2
#> 69 69 0.0 0.7 10.6 0.0 0.0 0.0 1.1 2.2
#> 70 70 0.0 0.8 5.6 0.0 0.0 0.6 0.8 3.2
#> 71 71 0.0 0.8 5.6 0.0 0.0 0.6 0.8 3.2
#> 72 72 0.0 0.8 5.6 0.0 0.0 0.6 0.8 3.2
#> 73 73 0.0 0.8 5.6 0.0 0.0 0.6 0.8 3.2
#> 74 74 0.0 0.8 5.6 0.0 0.0 0.6 0.8 3.2
#> 75 75 0.0 0.0 2.4 0.0 0.0 0.0 0.0 0.3
#> 76 76 0.0 0.0 2.4 0.0 0.0 0.0 0.0 0.3
#> 77 77 0.0 0.0 2.4 0.0 0.0 0.0 0.0 0.3
#> 78 78 0.0 0.0 2.4 0.0 0.0 0.0 0.0 0.3
#> 79 79 0.0 0.0 2.4 0.0 0.0 0.0 0.0 0.3
#> 80 80 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 81 81 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 82 82 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 83 83 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 84 84 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 85 85 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 86 86 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 87 87 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 88 88 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 89 89 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 90 90 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 91 91 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 92 92 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 93 93 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 94 94 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 95 95 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 96 96 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 97 97 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 98 98 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 99 99 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
#> 100 100 0.0 0.0 0.0 0.0 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
ppiROU2009[ppiROU2009$score == ppiScore, ]
#> score nl100 nl150 nl200 extreme ppp250 ppp375 ppp500 laeken
#> 50 50 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiROU2009, score == ppiScore)
#> score nl100 nl150 nl200 extreme ppp250 ppp375 ppp500 laeken
#> 50 50 0.8 11.9 42.8 0.2 0.2 1.4 13.1 10
# 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
ppiROU2009[ppiROU2009$score == ppiScore, "nl100"]
#> [1] 0.8