Poverty Probability Index (PPI) lookup table for Ghana using poverty definitions deflated with the change in 100
ppiGHA2015_b
A data frame with 8 columns and 101 rows:
scorePPI score
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)
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 Ghana PPI table ppiGHA2015_b#> score ppp125 ppp200 ppp250 ppp375 ppp500 ppp190 ppp310 #> 0 0 83.9 96.7 97.9 100.0 100.0 89.0 99.1 #> 1 1 83.9 96.7 97.9 100.0 100.0 89.0 99.1 #> 2 2 83.9 96.7 97.9 100.0 100.0 89.0 99.1 #> 3 3 83.9 96.7 97.9 100.0 100.0 89.0 99.1 #> 4 4 83.9 96.7 97.9 100.0 100.0 89.0 99.1 #> 5 5 83.9 96.7 97.9 100.0 100.0 89.0 99.1 #> 6 6 83.9 96.7 97.9 100.0 100.0 89.0 99.1 #> 7 7 83.9 96.7 97.9 100.0 100.0 89.0 99.1 #> 8 8 83.9 96.7 97.9 100.0 100.0 89.0 99.1 #> 9 9 83.9 96.7 97.9 100.0 100.0 89.0 99.1 #> 10 10 59.6 84.5 93.5 97.9 99.4 74.9 95.2 #> 11 11 59.6 84.5 93.5 97.9 99.4 74.9 95.2 #> 12 12 59.6 84.5 93.5 97.9 99.4 74.9 95.2 #> 13 13 59.6 84.5 93.5 97.9 99.4 74.9 95.2 #> 14 14 59.6 84.5 93.5 97.9 99.4 74.9 95.2 #> 15 15 47.3 78.7 88.2 96.4 98.9 65.6 91.2 #> 16 16 47.3 78.7 88.2 96.4 98.9 65.6 91.2 #> 17 17 47.3 78.7 88.2 96.4 98.9 65.6 91.2 #> 18 18 47.3 78.7 88.2 96.4 98.9 65.6 91.2 #> 19 19 47.3 78.7 88.2 96.4 98.9 65.6 91.2 #> 20 20 39.4 75.1 86.1 96.3 98.7 62.4 87.9 #> 21 21 39.4 75.1 86.1 96.3 98.7 62.4 87.9 #> 22 22 39.4 75.1 86.1 96.3 98.7 62.4 87.9 #> 23 23 39.4 75.1 86.1 96.3 98.7 62.4 87.9 #> 24 24 39.4 75.1 86.1 96.3 98.7 62.4 87.9 #> 25 25 31.1 66.0 79.4 94.4 97.3 50.8 82.1 #> 26 26 31.1 66.0 79.4 94.4 97.3 50.8 82.1 #> 27 27 31.1 66.0 79.4 94.4 97.3 50.8 82.1 #> 28 28 31.1 66.0 79.4 94.4 97.3 50.8 82.1 #> 29 29 31.1 66.0 79.4 94.4 97.3 50.8 82.1 #> 30 30 20.3 51.1 69.4 87.5 95.4 35.4 71.6 #> 31 31 20.3 51.1 69.4 87.5 95.4 35.4 71.6 #> 32 32 20.3 51.1 69.4 87.5 95.4 35.4 71.6 #> 33 33 20.3 51.1 69.4 87.5 95.4 35.4 71.6 #> 34 34 20.3 51.1 69.4 87.5 95.4 35.4 71.6 #> 35 35 10.6 39.8 54.9 79.6 90.2 25.8 59.1 #> 36 36 10.6 39.8 54.9 79.6 90.2 25.8 59.1 #> 37 37 10.6 39.8 54.9 79.6 90.2 25.8 59.1 #> 38 38 10.6 39.8 54.9 79.6 90.2 25.8 59.1 #> 39 39 10.6 39.8 54.9 79.6 90.2 25.8 59.1 #> 40 40 7.8 27.5 42.0 74.5 85.7 17.3 46.1 #> 41 41 7.8 27.5 42.0 74.5 85.7 17.3 46.1 #> 42 42 7.8 27.5 42.0 74.5 85.7 17.3 46.1 #> 43 43 7.8 27.5 42.0 74.5 85.7 17.3 46.1 #> 44 44 7.8 27.5 42.0 74.5 85.7 17.3 46.1 #> 45 45 3.5 18.8 31.3 64.3 79.7 10.3 36.7 #> 46 46 3.5 18.8 31.3 64.3 79.7 10.3 36.7 #> 47 47 3.5 18.8 31.3 64.3 79.7 10.3 36.7 #> 48 48 3.5 18.8 31.3 64.3 79.7 10.3 36.7 #> 49 49 3.5 18.8 31.3 64.3 79.7 10.3 36.7 #> 50 50 1.5 12.6 22.5 49.4 68.2 4.7 25.8 #> 51 51 1.5 12.6 22.5 49.4 68.2 4.7 25.8 #> 52 52 1.5 12.6 22.5 49.4 68.2 4.7 25.8 #> 53 53 1.5 12.6 22.5 49.4 68.2 4.7 25.8 #> 54 54 1.5 12.6 22.5 49.4 68.2 4.7 25.8 #> 55 55 1.5 7.0 15.5 41.7 60.3 3.6 18.1 #> 56 56 1.5 7.0 15.5 41.7 60.3 3.6 18.1 #> 57 57 1.5 7.0 15.5 41.7 60.3 3.6 18.1 #> 58 58 1.5 7.0 15.5 41.7 60.3 3.6 18.1 #> 59 59 1.5 7.0 15.5 41.7 60.3 3.6 18.1 #> 60 60 0.7 4.0 9.0 31.3 52.1 1.5 11.3 #> 61 61 0.7 4.0 9.0 31.3 52.1 1.5 11.3 #> 62 62 0.7 4.0 9.0 31.3 52.1 1.5 11.3 #> 63 63 0.7 4.0 9.0 31.3 52.1 1.5 11.3 #> 64 64 0.7 4.0 9.0 31.3 52.1 1.5 11.3 #> 65 65 0.1 1.9 5.6 22.4 42.6 0.5 6.6 #> 66 66 0.1 1.9 5.6 22.4 42.6 0.5 6.6 #> 67 67 0.1 1.9 5.6 22.4 42.6 0.5 6.6 #> 68 68 0.1 1.9 5.6 22.4 42.6 0.5 6.6 #> 69 69 0.1 1.9 5.6 22.4 42.6 0.5 6.6 #> 70 70 0.1 1.7 3.7 15.5 31.9 0.4 4.3 #> 71 71 0.1 1.7 3.7 15.5 31.9 0.4 4.3 #> 72 72 0.1 1.7 3.7 15.5 31.9 0.4 4.3 #> 73 73 0.1 1.7 3.7 15.5 31.9 0.4 4.3 #> 74 74 0.1 1.7 3.7 15.5 31.9 0.4 4.3 #> 75 75 0.0 0.3 0.8 7.7 18.3 0.0 1.6 #> 76 76 0.0 0.3 0.8 7.7 18.3 0.0 1.6 #> 77 77 0.0 0.3 0.8 7.7 18.3 0.0 1.6 #> 78 78 0.0 0.3 0.8 7.7 18.3 0.0 1.6 #> 79 79 0.0 0.3 0.8 7.7 18.3 0.0 1.6 #> 80 80 0.0 0.1 0.5 2.2 6.9 0.0 0.7 #> 81 81 0.0 0.1 0.5 2.2 6.9 0.0 0.7 #> 82 82 0.0 0.1 0.5 2.2 6.9 0.0 0.7 #> 83 83 0.0 0.1 0.5 2.2 6.9 0.0 0.7 #> 84 84 0.0 0.1 0.5 2.2 6.9 0.0 0.7 #> 85 85 0.0 0.0 0.2 0.7 4.4 0.0 0.2 #> 86 86 0.0 0.0 0.2 0.7 4.4 0.0 0.2 #> 87 87 0.0 0.0 0.2 0.7 4.4 0.0 0.2 #> 88 88 0.0 0.0 0.2 0.7 4.4 0.0 0.2 #> 89 89 0.0 0.0 0.2 0.7 4.4 0.0 0.2 #> 90 90 0.0 0.0 0.0 0.2 1.2 0.0 0.0 #> 91 91 0.0 0.0 0.0 0.2 1.2 0.0 0.0 #> 92 92 0.0 0.0 0.0 0.2 1.2 0.0 0.0 #> 93 93 0.0 0.0 0.0 0.2 1.2 0.0 0.0 #> 94 94 0.0 0.0 0.0 0.2 1.2 0.0 0.0 #> 95 95 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 #> 97 97 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 #> 99 99 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# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiGHA2015_b[ppiGHA2015_b$score == ppiScore, ]#> score ppp125 ppp200 ppp250 ppp375 ppp500 ppp190 ppp310 #> 50 50 1.5 12.6 22.5 49.4 68.2 4.7 25.8# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiGHA2015_b, score == ppiScore)#> score ppp125 ppp200 ppp250 ppp375 ppp500 ppp190 ppp310 #> 50 50 1.5 12.6 22.5 49.4 68.2 4.7 25.8# Given a specific PPI score (from 0 - 100), get a poverty probability # based on a specific poverty definition. In this example, the below $1.25 # per day purchasing power parity (2005) ppiScore <- 50 ppiGHA2015_b[ppiGHA2015_b$score == ppiScore, "ppp125"]#> [1] 1.5