Poverty Probability Index (PPI) lookup table for Ghana using poverty definitions deflated with the change in 100% of national poverty line
Source:R/04_data.R
ppiGHA2015_b.RdPoverty Probability Index (PPI) lookup table for Ghana using poverty definitions deflated with the change in 100% of national poverty line
Format
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)
Examples
# 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