Poverty Probability Index (PPI) lookup table for Nepal using legacy poverty definitions
Source:R/04_data.R
ppiNPL2013.RdPoverty Probability Index (PPI) lookup table for Nepal using legacy poverty definitions
Format
A data frame with 4 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
ppp125Below $1.25 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
Examples
# Access Nepal PPI table
ppiNPL2013
#> score nl100 ppp125 ppp250
#> 0 0 100.0 100.0 100.0
#> 1 1 100.0 100.0 100.0
#> 2 2 100.0 100.0 100.0
#> 3 3 100.0 100.0 100.0
#> 4 4 100.0 100.0 100.0
#> 5 5 65.0 92.2 100.0
#> 6 6 65.0 92.2 100.0
#> 7 7 65.0 92.2 100.0
#> 8 8 65.0 92.2 100.0
#> 9 9 65.0 92.2 100.0
#> 10 10 60.3 91.1 100.0
#> 11 11 60.3 91.1 100.0
#> 12 12 60.3 91.1 100.0
#> 13 13 60.3 91.1 100.0
#> 14 14 60.3 91.1 100.0
#> 15 15 46.5 75.5 100.0
#> 16 16 46.5 75.5 100.0
#> 17 17 46.5 75.5 100.0
#> 18 18 46.5 75.5 100.0
#> 19 19 46.5 75.5 100.0
#> 20 20 36.3 72.2 100.0
#> 21 21 36.3 72.2 100.0
#> 22 22 36.3 72.2 100.0
#> 23 23 36.3 72.2 100.0
#> 24 24 36.3 72.2 100.0
#> 25 25 25.9 65.9 98.8
#> 26 26 25.9 65.9 98.8
#> 27 27 25.9 65.9 98.8
#> 28 28 25.9 65.9 98.8
#> 29 29 25.9 65.9 98.8
#> 30 30 16.6 55.4 97.8
#> 31 31 16.6 55.4 97.8
#> 32 32 16.6 55.4 97.8
#> 33 33 16.6 55.4 97.8
#> 34 34 16.6 55.4 97.8
#> 35 35 8.7 42.9 94.2
#> 36 36 8.7 42.9 94.2
#> 37 37 8.7 42.9 94.2
#> 38 38 8.7 42.9 94.2
#> 39 39 8.7 42.9 94.2
#> 40 40 5.7 28.4 89.9
#> 41 41 5.7 28.4 89.9
#> 42 42 5.7 28.4 89.9
#> 43 43 5.7 28.4 89.9
#> 44 44 5.7 28.4 89.9
#> 45 45 1.2 16.2 80.9
#> 46 46 1.2 16.2 80.9
#> 47 47 1.2 16.2 80.9
#> 48 48 1.2 16.2 80.9
#> 49 49 1.2 16.2 80.9
#> 50 50 0.5 9.2 71.8
#> 51 51 0.5 9.2 71.8
#> 52 52 0.5 9.2 71.8
#> 53 53 0.5 9.2 71.8
#> 54 54 0.5 9.2 71.8
#> 55 55 0.5 2.7 56.0
#> 56 56 0.5 2.7 56.0
#> 57 57 0.5 2.7 56.0
#> 58 58 0.5 2.7 56.0
#> 59 59 0.5 2.7 56.0
#> 60 60 0.0 1.7 41.0
#> 61 61 0.0 1.7 41.0
#> 62 62 0.0 1.7 41.0
#> 63 63 0.0 1.7 41.0
#> 64 64 0.0 1.7 41.0
#> 65 65 0.0 0.0 29.2
#> 66 66 0.0 0.0 29.2
#> 67 67 0.0 0.0 29.2
#> 68 68 0.0 0.0 29.2
#> 69 69 0.0 0.0 29.2
#> 70 70 0.0 0.0 14.0
#> 71 71 0.0 0.0 14.0
#> 72 72 0.0 0.0 14.0
#> 73 73 0.0 0.0 14.0
#> 74 74 0.0 0.0 14.0
#> 75 75 0.0 0.0 5.5
#> 76 76 0.0 0.0 5.5
#> 77 77 0.0 0.0 5.5
#> 78 78 0.0 0.0 5.5
#> 79 79 0.0 0.0 5.5
#> 80 80 0.0 0.0 2.1
#> 81 81 0.0 0.0 2.1
#> 82 82 0.0 0.0 2.1
#> 83 83 0.0 0.0 2.1
#> 84 84 0.0 0.0 2.1
#> 85 85 0.0 0.0 0.0
#> 86 86 0.0 0.0 0.0
#> 87 87 0.0 0.0 0.0
#> 88 88 0.0 0.0 0.0
#> 89 89 0.0 0.0 0.0
#> 90 90 0.0 0.0 0.0
#> 91 91 0.0 0.0 0.0
#> 92 92 0.0 0.0 0.0
#> 93 93 0.0 0.0 0.0
#> 94 94 0.0 0.0 0.0
#> 95 95 0.0 0.0 0.0
#> 96 96 0.0 0.0 0.0
#> 97 97 0.0 0.0 0.0
#> 98 98 0.0 0.0 0.0
#> 99 99 0.0 0.0 0.0
#> 100 100 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[ppiNPL2013$score == ppiScore, ]
#> score nl100 ppp125 ppp250
#> 50 50 0.5 9.2 71.8
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiNPL2013, score == ppiScore)
#> score nl100 ppp125 ppp250
#> 50 50 0.5 9.2 71.8
# 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[ppiNPL2013$score == ppiScore, "nl100"]
#> [1] 0.5