Poverty Probability Index (PPI) lookup table for Colombia using new poverty definitions
ppiCOL2018_a
A data frame with 12 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)
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)
ppp190Below $1.90 per day purchasing power parity (2011)
ppp310Below $3.10 per day purchasing power parity (2011)
# Access Colombia PPI table ppiCOL2018_a#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp250 ppp375 ppp500 ppp190 #> 0 0 88.7 96.2 96.2 96.2 88.8 62.8 90.7 96.2 96.2 87.7 #> 1 1 88.7 96.2 96.2 96.2 88.8 62.8 90.7 96.2 96.2 87.7 #> 2 2 88.7 96.2 96.2 96.2 88.8 62.8 90.7 96.2 96.2 87.7 #> 3 3 88.7 96.2 96.2 96.2 88.8 62.8 90.7 96.2 96.2 87.7 #> 4 4 88.7 96.2 96.2 96.2 88.8 62.8 90.7 96.2 96.2 87.7 #> 5 5 79.7 98.2 100.0 100.0 83.0 49.8 84.7 97.6 99.9 72.8 #> 6 6 79.7 98.2 100.0 100.0 83.0 49.8 84.7 97.6 99.9 72.8 #> 7 7 79.7 98.2 100.0 100.0 83.0 49.8 84.7 97.6 99.9 72.8 #> 8 8 79.7 98.2 100.0 100.0 83.0 49.8 84.7 97.6 99.9 72.8 #> 9 9 79.7 98.2 100.0 100.0 83.0 49.8 84.7 97.6 99.9 72.8 #> 10 10 74.9 96.5 98.3 99.3 78.8 46.1 84.5 94.8 97.3 64.7 #> 11 11 74.9 96.5 98.3 99.3 78.8 46.1 84.5 94.8 97.3 64.7 #> 12 12 74.9 96.5 98.3 99.3 78.8 46.1 84.5 94.8 97.3 64.7 #> 13 13 74.9 96.5 98.3 99.3 78.8 46.1 84.5 94.8 97.3 64.7 #> 14 14 74.9 96.5 98.3 99.3 78.8 46.1 84.5 94.8 97.3 64.7 #> 15 15 57.2 92.9 98.7 99.7 63.9 28.4 67.8 90.5 97.3 44.2 #> 16 16 57.2 92.9 98.7 99.7 63.9 28.4 67.8 90.5 97.3 44.2 #> 17 17 57.2 92.9 98.7 99.7 63.9 28.4 67.8 90.5 97.3 44.2 #> 18 18 57.2 92.9 98.7 99.7 63.9 28.4 67.8 90.5 97.3 44.2 #> 19 19 57.2 92.9 98.7 99.7 63.9 28.4 67.8 90.5 97.3 44.2 #> 20 20 42.2 85.2 95.1 98.4 51.8 19.6 56.5 81.6 91.7 31.1 #> 21 21 42.2 85.2 95.1 98.4 51.8 19.6 56.5 81.6 91.7 31.1 #> 22 22 42.2 85.2 95.1 98.4 51.8 19.6 56.5 81.6 91.7 31.1 #> 23 23 42.2 85.2 95.1 98.4 51.8 19.6 56.5 81.6 91.7 31.1 #> 24 24 42.2 85.2 95.1 98.4 51.8 19.6 56.5 81.6 91.7 31.1 #> 25 25 28.8 72.9 90.4 95.7 40.2 12.8 43.2 68.4 83.6 20.1 #> 26 26 28.8 72.9 90.4 95.7 40.2 12.8 43.2 68.4 83.6 20.1 #> 27 27 28.8 72.9 90.4 95.7 40.2 12.8 43.2 68.4 83.6 20.1 #> 28 28 28.8 72.9 90.4 95.7 40.2 12.8 43.2 68.4 83.6 20.1 #> 29 29 28.8 72.9 90.4 95.7 40.2 12.8 43.2 68.4 83.6 20.1 #> 30 30 17.5 60.9 81.9 91.4 27.6 7.4 29.3 56.3 73.7 12.0 #> 31 31 17.5 60.9 81.9 91.4 27.6 7.4 29.3 56.3 73.7 12.0 #> 32 32 17.5 60.9 81.9 91.4 27.6 7.4 29.3 56.3 73.7 12.0 #> 33 33 17.5 60.9 81.9 91.4 27.6 7.4 29.3 56.3 73.7 12.0 #> 34 34 17.5 60.9 81.9 91.4 27.6 7.4 29.3 56.3 73.7 12.0 #> 35 35 9.2 45.0 70.8 83.2 16.3 3.8 17.9 39.8 59.2 5.8 #> 36 36 9.2 45.0 70.8 83.2 16.3 3.8 17.9 39.8 59.2 5.8 #> 37 37 9.2 45.0 70.8 83.2 16.3 3.8 17.9 39.8 59.2 5.8 #> 38 38 9.2 45.0 70.8 83.2 16.3 3.8 17.9 39.8 59.2 5.8 #> 39 39 9.2 45.0 70.8 83.2 16.3 3.8 17.9 39.8 59.2 5.8 #> 40 40 5.6 29.6 54.3 70.7 9.9 2.3 10.4 25.3 42.3 3.8 #> 41 41 5.6 29.6 54.3 70.7 9.9 2.3 10.4 25.3 42.3 3.8 #> 42 42 5.6 29.6 54.3 70.7 9.9 2.3 10.4 25.3 42.3 3.8 #> 43 43 5.6 29.6 54.3 70.7 9.9 2.3 10.4 25.3 42.3 3.8 #> 44 44 5.6 29.6 54.3 70.7 9.9 2.3 10.4 25.3 42.3 3.8 #> 45 45 2.6 18.2 41.7 60.7 4.9 1.3 5.1 14.4 28.6 1.8 #> 46 46 2.6 18.2 41.7 60.7 4.9 1.3 5.1 14.4 28.6 1.8 #> 47 47 2.6 18.2 41.7 60.7 4.9 1.3 5.1 14.4 28.6 1.8 #> 48 48 2.6 18.2 41.7 60.7 4.9 1.3 5.1 14.4 28.6 1.8 #> 49 49 2.6 18.2 41.7 60.7 4.9 1.3 5.1 14.4 28.6 1.8 #> 50 50 1.0 8.6 26.1 43.9 2.2 0.6 2.5 6.7 16.0 0.7 #> 51 51 1.0 8.6 26.1 43.9 2.2 0.6 2.5 6.7 16.0 0.7 #> 52 52 1.0 8.6 26.1 43.9 2.2 0.6 2.5 6.7 16.0 0.7 #> 53 53 1.0 8.6 26.1 43.9 2.2 0.6 2.5 6.7 16.0 0.7 #> 54 54 1.0 8.6 26.1 43.9 2.2 0.6 2.5 6.7 16.0 0.7 #> 55 55 0.6 4.3 14.5 31.4 1.2 0.4 1.1 3.3 8.2 0.5 #> 56 56 0.6 4.3 14.5 31.4 1.2 0.4 1.1 3.3 8.2 0.5 #> 57 57 0.6 4.3 14.5 31.4 1.2 0.4 1.1 3.3 8.2 0.5 #> 58 58 0.6 4.3 14.5 31.4 1.2 0.4 1.1 3.3 8.2 0.5 #> 59 59 0.6 4.3 14.5 31.4 1.2 0.4 1.1 3.3 8.2 0.5 #> 60 60 0.4 1.9 7.7 19.8 0.7 0.3 0.6 1.3 3.9 0.3 #> 61 61 0.4 1.9 7.7 19.8 0.7 0.3 0.6 1.3 3.9 0.3 #> 62 62 0.4 1.9 7.7 19.8 0.7 0.3 0.6 1.3 3.9 0.3 #> 63 63 0.4 1.9 7.7 19.8 0.7 0.3 0.6 1.3 3.9 0.3 #> 64 64 0.4 1.9 7.7 19.8 0.7 0.3 0.6 1.3 3.9 0.3 #> 65 65 0.1 1.1 3.8 11.5 0.2 0.0 0.2 0.8 1.8 0.0 #> 66 66 0.1 1.1 3.8 11.5 0.2 0.0 0.2 0.8 1.8 0.0 #> 67 67 0.1 1.1 3.8 11.5 0.2 0.0 0.2 0.8 1.8 0.0 #> 68 68 0.1 1.1 3.8 11.5 0.2 0.0 0.2 0.8 1.8 0.0 #> 69 69 0.1 1.1 3.8 11.5 0.2 0.0 0.2 0.8 1.8 0.0 #> 70 70 0.0 0.2 1.5 4.2 0.0 0.0 0.0 0.2 0.6 0.0 #> 71 71 0.0 0.2 1.5 4.2 0.0 0.0 0.0 0.2 0.6 0.0 #> 72 72 0.0 0.2 1.5 4.2 0.0 0.0 0.0 0.2 0.6 0.0 #> 73 73 0.0 0.2 1.5 4.2 0.0 0.0 0.0 0.2 0.6 0.0 #> 74 74 0.0 0.2 1.5 4.2 0.0 0.0 0.0 0.2 0.6 0.0 #> 75 75 0.0 0.2 0.4 2.6 0.0 0.0 0.1 0.2 0.3 0.0 #> 76 76 0.0 0.2 0.4 2.6 0.0 0.0 0.1 0.2 0.3 0.0 #> 77 77 0.0 0.2 0.4 2.6 0.0 0.0 0.1 0.2 0.3 0.0 #> 78 78 0.0 0.2 0.4 2.6 0.0 0.0 0.1 0.2 0.3 0.0 #> 79 79 0.0 0.2 0.4 2.6 0.0 0.0 0.1 0.2 0.3 0.0 #> 80 80 0.1 0.1 0.2 1.3 0.1 0.1 0.1 0.1 0.1 0.1 #> 81 81 0.1 0.1 0.2 1.3 0.1 0.1 0.1 0.1 0.1 0.1 #> 82 82 0.1 0.1 0.2 1.3 0.1 0.1 0.1 0.1 0.1 0.1 #> ppp310 #> 0 94.2 #> 1 94.2 #> 2 94.2 #> 3 94.2 #> 4 94.2 #> 5 94.0 #> 6 94.0 #> 7 94.0 #> 8 94.0 #> 9 94.0 #> 10 87.2 #> 11 87.2 #> 12 87.2 #> 13 87.2 #> 14 87.2 #> 15 78.6 #> 16 78.6 #> 17 78.6 #> 18 78.6 #> 19 78.6 #> 20 62.6 #> 21 62.6 #> 22 62.6 #> 23 62.6 #> 24 62.6 #> 25 45.3 #> 26 45.3 #> 27 45.3 #> 28 45.3 #> 29 45.3 #> 30 28.6 #> 31 28.6 #> 32 28.6 #> 33 28.6 #> 34 28.6 #> 35 16.5 #> 36 16.5 #> 37 16.5 #> 38 16.5 #> 39 16.5 #> 40 9.3 #> 41 9.3 #> 42 9.3 #> 43 9.3 #> 44 9.3 #> 45 4.3 #> 46 4.3 #> 47 4.3 #> 48 4.3 #> 49 4.3 #> 50 1.9 #> 51 1.9 #> 52 1.9 #> 53 1.9 #> 54 1.9 #> 55 1.0 #> 56 1.0 #> 57 1.0 #> 58 1.0 #> 59 1.0 #> 60 0.5 #> 61 0.5 #> 62 0.5 #> 63 0.5 #> 64 0.5 #> 65 0.2 #> 66 0.2 #> 67 0.2 #> 68 0.2 #> 69 0.2 #> 70 0.0 #> 71 0.0 #> 72 0.0 #> 73 0.0 #> 74 0.0 #> 75 0.0 #> 76 0.0 #> 77 0.0 #> 78 0.0 #> 79 0.0 #> 80 0.1 #> 81 0.1 #> 82 0.1 #> [ reached getOption("max.print") -- omitted 18 rows ]# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiCOL2018_a[ppiCOL2018_a$score == ppiScore, ]#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp250 ppp375 ppp500 ppp190 #> 50 50 1 8.6 26.1 43.9 2.2 0.6 2.5 6.7 16 0.7 #> ppp310 #> 50 1.9# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiCOL2018_a, score == ppiScore)#> score nlFood nl100 nl150 nl200 half100 ppp125 ppp250 ppp375 ppp500 ppp190 #> 50 50 1 8.6 26.1 43.9 2.2 0.6 2.5 6.7 16 0.7 #> ppp310 #> 50 1.9# 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 ppiCOL2018_a[ppiCOL2018_a$score == ppiScore, "nl100"]#> [1] 8.6