Poverty Probability Index (PPI) lookup table for Nepal using legacy poverty definitions

ppiNPL2013

Format

A data frame with 4 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

www.povertyindex.org

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