Poverty Probability Index (PPI) lookup table for Nepal using new poverty definitions
Source:R/04_data.R
ppiNPL2013_a.RdPoverty Probability Index (PPI) lookup table for Nepal using new poverty definitions
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%)
extremeUSAID extreme poverty
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 Nepal PPI table
ppiNPL2013_a
#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp200 ppp250
#> 0 0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 1 1 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 2 2 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 3 3 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 4 4 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
#> 5 5 38.9 100.0 100.0 100.0 66.3 100.0 100.0 100.0
#> 6 6 38.9 100.0 100.0 100.0 66.3 100.0 100.0 100.0
#> 7 7 38.9 100.0 100.0 100.0 66.3 100.0 100.0 100.0
#> 8 8 38.9 100.0 100.0 100.0 66.3 100.0 100.0 100.0
#> 9 9 38.9 100.0 100.0 100.0 66.3 100.0 100.0 100.0
#> 10 10 32.3 77.8 100.0 100.0 45.6 82.1 100.0 100.0
#> 11 11 32.3 77.8 100.0 100.0 45.6 82.1 100.0 100.0
#> 12 12 32.3 77.8 100.0 100.0 45.6 82.1 100.0 100.0
#> 13 13 32.3 77.8 100.0 100.0 45.6 82.1 100.0 100.0
#> 14 14 32.3 77.8 100.0 100.0 45.6 82.1 100.0 100.0
#> 15 15 20.7 64.6 92.7 100.0 41.4 67.5 95.2 100.0
#> 16 16 20.7 64.6 92.7 100.0 41.4 67.5 95.2 100.0
#> 17 17 20.7 64.6 92.7 100.0 41.4 67.5 95.2 100.0
#> 18 18 20.7 64.6 92.7 100.0 41.4 67.5 95.2 100.0
#> 19 19 20.7 64.6 92.7 100.0 41.4 67.5 95.2 100.0
#> 20 20 14.6 59.3 91.2 99.4 32.7 64.8 95.0 99.6
#> 21 21 14.6 59.3 91.2 99.4 32.7 64.8 95.0 99.6
#> 22 22 14.6 59.3 91.2 99.4 32.7 64.8 95.0 99.6
#> 23 23 14.6 59.3 91.2 99.4 32.7 64.8 95.0 99.6
#> 24 24 14.6 59.3 91.2 99.4 32.7 64.8 95.0 99.6
#> 25 25 9.3 49.8 85.1 96.2 25.0 58.4 90.9 98.1
#> 26 26 9.3 49.8 85.1 96.2 25.0 58.4 90.9 98.1
#> 27 27 9.3 49.8 85.1 96.2 25.0 58.4 90.9 98.1
#> 28 28 9.3 49.8 85.1 96.2 25.0 58.4 90.9 98.1
#> 29 29 9.3 49.8 85.1 96.2 25.0 58.4 90.9 98.1
#> 30 30 7.4 38.9 78.0 94.7 20.9 45.1 84.6 96.9
#> 31 31 7.4 38.9 78.0 94.7 20.9 45.1 84.6 96.9
#> 32 32 7.4 38.9 78.0 94.7 20.9 45.1 84.6 96.9
#> 33 33 7.4 38.9 78.0 94.7 20.9 45.1 84.6 96.9
#> 34 34 7.4 38.9 78.0 94.7 20.9 45.1 84.6 96.9
#> 35 35 3.9 25.9 68.3 90.6 9.3 31.2 77.9 92.8
#> 36 36 3.9 25.9 68.3 90.6 9.3 31.2 77.9 92.8
#> 37 37 3.9 25.9 68.3 90.6 9.3 31.2 77.9 92.8
#> 38 38 3.9 25.9 68.3 90.6 9.3 31.2 77.9 92.8
#> 39 39 3.9 25.9 68.3 90.6 9.3 31.2 77.9 92.8
#> 40 40 2.0 17.7 57.3 84.5 5.6 21.6 69.8 86.9
#> 41 41 2.0 17.7 57.3 84.5 5.6 21.6 69.8 86.9
#> 42 42 2.0 17.7 57.3 84.5 5.6 21.6 69.8 86.9
#> 43 43 2.0 17.7 57.3 84.5 5.6 21.6 69.8 86.9
#> 44 44 2.0 17.7 57.3 84.5 5.6 21.6 69.8 86.9
#> 45 45 0.0 9.6 44.6 74.9 2.8 12.7 58.6 80.4
#> 46 46 0.0 9.6 44.6 74.9 2.8 12.7 58.6 80.4
#> 47 47 0.0 9.6 44.6 74.9 2.8 12.7 58.6 80.4
#> 48 48 0.0 9.6 44.6 74.9 2.8 12.7 58.6 80.4
#> 49 49 0.0 9.6 44.6 74.9 2.8 12.7 58.6 80.4
#> 50 50 0.0 5.3 32.5 61.7 1.8 6.4 44.5 65.5
#> 51 51 0.0 5.3 32.5 61.7 1.8 6.4 44.5 65.5
#> 52 52 0.0 5.3 32.5 61.7 1.8 6.4 44.5 65.5
#> 53 53 0.0 5.3 32.5 61.7 1.8 6.4 44.5 65.5
#> 54 54 0.0 5.3 32.5 61.7 1.8 6.4 44.5 65.5
#> 55 55 0.0 3.5 25.2 53.5 0.9 4.6 36.4 57.7
#> 56 56 0.0 3.5 25.2 53.5 0.9 4.6 36.4 57.7
#> 57 57 0.0 3.5 25.2 53.5 0.9 4.6 36.4 57.7
#> 58 58 0.0 3.5 25.2 53.5 0.9 4.6 36.4 57.7
#> 59 59 0.0 3.5 25.2 53.5 0.9 4.6 36.4 57.7
#> 60 60 0.0 1.8 12.3 36.0 0.0 2.3 17.7 42.3
#> 61 61 0.0 1.8 12.3 36.0 0.0 2.3 17.7 42.3
#> 62 62 0.0 1.8 12.3 36.0 0.0 2.3 17.7 42.3
#> 63 63 0.0 1.8 12.3 36.0 0.0 2.3 17.7 42.3
#> 64 64 0.0 1.8 12.3 36.0 0.0 2.3 17.7 42.3
#> 65 65 0.0 0.4 8.2 27.1 0.0 0.8 14.0 34.0
#> 66 66 0.0 0.4 8.2 27.1 0.0 0.8 14.0 34.0
#> 67 67 0.0 0.4 8.2 27.1 0.0 0.8 14.0 34.0
#> 68 68 0.0 0.4 8.2 27.1 0.0 0.8 14.0 34.0
#> 69 69 0.0 0.4 8.2 27.1 0.0 0.8 14.0 34.0
#> 70 70 0.0 2.0 4.6 16.8 0.0 0.4 7.7 19.4
#> 71 71 0.0 2.0 4.6 16.8 0.0 0.4 7.7 19.4
#> 72 72 0.0 2.0 4.6 16.8 0.0 0.4 7.7 19.4
#> 73 73 0.0 2.0 4.6 16.8 0.0 0.4 7.7 19.4
#> 74 74 0.0 2.0 4.6 16.8 0.0 0.4 7.7 19.4
#> 75 75 0.0 0.0 1.8 7.8 0.0 0.3 4.5 9.6
#> 76 76 0.0 0.0 1.8 7.8 0.0 0.3 4.5 9.6
#> 77 77 0.0 0.0 1.8 7.8 0.0 0.3 4.5 9.6
#> 78 78 0.0 0.0 1.8 7.8 0.0 0.3 4.5 9.6
#> 79 79 0.0 0.0 1.8 7.8 0.0 0.3 4.5 9.6
#> 80 80 0.0 0.0 0.9 5.2 0.0 0.2 1.5 7.2
#> 81 81 0.0 0.0 0.9 5.2 0.0 0.2 1.5 7.2
#> 82 82 0.0 0.0 0.9 5.2 0.0 0.2 1.5 7.2
#> 83 83 0.0 0.0 0.9 5.2 0.0 0.2 1.5 7.2
#> 84 84 0.0 0.0 0.9 5.2 0.0 0.2 1.5 7.2
#> 85 85 0.0 0.0 0.0 0.7 0.0 0.0 0.0 3.2
#> 86 86 0.0 0.0 0.0 0.7 0.0 0.0 0.0 3.2
#> 87 87 0.0 0.0 0.0 0.7 0.0 0.0 0.0 3.2
#> 88 88 0.0 0.0 0.0 0.7 0.0 0.0 0.0 3.2
#> 89 89 0.0 0.0 0.0 0.7 0.0 0.0 0.0 3.2
#> 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
ppiNPL2013_a[ppiNPL2013_a$score == ppiScore, ]
#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp200 ppp250
#> 50 50 0 5.3 32.5 61.7 1.8 6.4 44.5 65.5
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiNPL2013_a, score == ppiScore)
#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp200 ppp250
#> 50 50 0 5.3 32.5 61.7 1.8 6.4 44.5 65.5
# 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
ppiNPL2013_a[ppiNPL2013_a$score == ppiScore, "nl100"]
#> [1] 5.3