Poverty Probability Index (PPI) lookup table for Nicaragua

ppiNIC2013

Format

A data frame with 10 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp800

Below $8.00 per day purchasing power parity (2005)

Source

www.povertyindex.org

Examples

# Access Nicaragua PPI table ppiNIC2013
#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp250 ppp375 ppp800 #> 0 0 80.5 100.0 100.0 100.0 85.1 66.8 89.3 100.0 100.0 #> 1 1 80.5 100.0 100.0 100.0 85.1 66.8 89.3 100.0 100.0 #> 2 2 80.5 100.0 100.0 100.0 85.1 66.8 89.3 100.0 100.0 #> 3 3 80.5 100.0 100.0 100.0 85.1 66.8 89.3 100.0 100.0 #> 4 4 80.5 100.0 100.0 100.0 85.1 66.8 89.3 100.0 100.0 #> 5 5 61.8 97.6 100.0 100.0 71.8 37.7 89.3 99.5 100.0 #> 6 6 61.8 97.6 100.0 100.0 71.8 37.7 89.3 99.5 100.0 #> 7 7 61.8 97.6 100.0 100.0 71.8 37.7 89.3 99.5 100.0 #> 8 8 61.8 97.6 100.0 100.0 71.8 37.7 89.3 99.5 100.0 #> 9 9 61.8 97.6 100.0 100.0 71.8 37.7 89.3 99.5 100.0 #> 10 10 52.1 93.7 100.0 100.0 60.7 28.4 84.3 98.7 100.0 #> 11 11 52.1 93.7 100.0 100.0 60.7 28.4 84.3 98.7 100.0 #> 12 12 52.1 93.7 100.0 100.0 60.7 28.4 84.3 98.7 100.0 #> 13 13 52.1 93.7 100.0 100.0 60.7 28.4 84.3 98.7 100.0 #> 14 14 52.1 93.7 100.0 100.0 60.7 28.4 84.3 98.7 100.0 #> 15 15 43.4 87.6 98.7 100.0 53.0 13.7 78.6 96.3 100.0 #> 16 16 43.4 87.6 98.7 100.0 53.0 13.7 78.6 96.3 100.0 #> 17 17 43.4 87.6 98.7 100.0 53.0 13.7 78.6 96.3 100.0 #> 18 18 43.4 87.6 98.7 100.0 53.0 13.7 78.6 96.3 100.0 #> 19 19 43.4 87.6 98.7 100.0 53.0 13.7 78.6 96.3 100.0 #> 20 20 21.4 71.6 98.3 99.9 34.4 5.7 62.5 92.8 100.0 #> 21 21 21.4 71.6 98.3 99.9 34.4 5.7 62.5 92.8 100.0 #> 22 22 21.4 71.6 98.3 99.9 34.4 5.7 62.5 92.8 100.0 #> 23 23 21.4 71.6 98.3 99.9 34.4 5.7 62.5 92.8 100.0 #> 24 24 21.4 71.6 98.3 99.9 34.4 5.7 62.5 92.8 100.0 #> 25 25 14.2 67.7 94.4 99.4 24.5 2.7 48.5 89.3 100.0 #> 26 26 14.2 67.7 94.4 99.4 24.5 2.7 48.5 89.3 100.0 #> 27 27 14.2 67.7 94.4 99.4 24.5 2.7 48.5 89.3 100.0 #> 28 28 14.2 67.7 94.4 99.4 24.5 2.7 48.5 89.3 100.0 #> 29 29 14.2 67.7 94.4 99.4 24.5 2.7 48.5 89.3 100.0 #> 30 30 11.1 59.3 90.6 98.4 21.6 1.1 44.5 78.9 100.0 #> 31 31 11.1 59.3 90.6 98.4 21.6 1.1 44.5 78.9 100.0 #> 32 32 11.1 59.3 90.6 98.4 21.6 1.1 44.5 78.9 100.0 #> 33 33 11.1 59.3 90.6 98.4 21.6 1.1 44.5 78.9 100.0 #> 34 34 11.1 59.3 90.6 98.4 21.6 1.1 44.5 78.9 100.0 #> 35 35 4.1 40.4 81.5 96.9 11.1 0.8 21.9 70.9 99.9 #> 36 36 4.1 40.4 81.5 96.9 11.1 0.8 21.9 70.9 99.9 #> 37 37 4.1 40.4 81.5 96.9 11.1 0.8 21.9 70.9 99.9 #> 38 38 4.1 40.4 81.5 96.9 11.1 0.8 21.9 70.9 99.9 #> 39 39 4.1 40.4 81.5 96.9 11.1 0.8 21.9 70.9 99.9 #> 40 40 2.9 21.3 62.6 89.0 6.8 0.4 12.1 49.2 98.6 #> 41 41 2.9 21.3 62.6 89.0 6.8 0.4 12.1 49.2 98.6 #> 42 42 2.9 21.3 62.6 89.0 6.8 0.4 12.1 49.2 98.6 #> 43 43 2.9 21.3 62.6 89.0 6.8 0.4 12.1 49.2 98.6 #> 44 44 2.9 21.3 62.6 89.0 6.8 0.4 12.1 49.2 98.6 #> 45 45 0.4 14.6 54.3 80.3 4.0 0.0 7.9 37.6 94.4 #> 46 46 0.4 14.6 54.3 80.3 4.0 0.0 7.9 37.6 94.4 #> 47 47 0.4 14.6 54.3 80.3 4.0 0.0 7.9 37.6 94.4 #> 48 48 0.4 14.6 54.3 80.3 4.0 0.0 7.9 37.6 94.4 #> 49 49 0.4 14.6 54.3 80.3 4.0 0.0 7.9 37.6 94.4 #> 50 50 0.0 6.7 43.4 70.2 1.0 0.0 2.9 25.7 89.8 #> 51 51 0.0 6.7 43.4 70.2 1.0 0.0 2.9 25.7 89.8 #> 52 52 0.0 6.7 43.4 70.2 1.0 0.0 2.9 25.7 89.8 #> 53 53 0.0 6.7 43.4 70.2 1.0 0.0 2.9 25.7 89.8 #> 54 54 0.0 6.7 43.4 70.2 1.0 0.0 2.9 25.7 89.8 #> 55 55 0.0 3.1 27.8 55.7 0.2 0.0 0.8 16.5 86.2 #> 56 56 0.0 3.1 27.8 55.7 0.2 0.0 0.8 16.5 86.2 #> 57 57 0.0 3.1 27.8 55.7 0.2 0.0 0.8 16.5 86.2 #> 58 58 0.0 3.1 27.8 55.7 0.2 0.0 0.8 16.5 86.2 #> 59 59 0.0 3.1 27.8 55.7 0.2 0.0 0.8 16.5 86.2 #> 60 60 0.0 1.3 16.1 41.7 0.2 0.0 0.3 8.0 74.3 #> 61 61 0.0 1.3 16.1 41.7 0.2 0.0 0.3 8.0 74.3 #> 62 62 0.0 1.3 16.1 41.7 0.2 0.0 0.3 8.0 74.3 #> 63 63 0.0 1.3 16.1 41.7 0.2 0.0 0.3 8.0 74.3 #> 64 64 0.0 1.3 16.1 41.7 0.2 0.0 0.3 8.0 74.3 #> 65 65 0.0 0.2 7.6 28.1 0.0 0.0 0.0 3.9 58.2 #> 66 66 0.0 0.2 7.6 28.1 0.0 0.0 0.0 3.9 58.2 #> 67 67 0.0 0.2 7.6 28.1 0.0 0.0 0.0 3.9 58.2 #> 68 68 0.0 0.2 7.6 28.1 0.0 0.0 0.0 3.9 58.2 #> 69 69 0.0 0.2 7.6 28.1 0.0 0.0 0.0 3.9 58.2 #> 70 70 0.0 0.0 6.3 12.0 0.0 0.0 0.0 1.6 38.7 #> 71 71 0.0 0.0 6.3 12.0 0.0 0.0 0.0 1.6 38.7 #> 72 72 0.0 0.0 6.3 12.0 0.0 0.0 0.0 1.6 38.7 #> 73 73 0.0 0.0 6.3 12.0 0.0 0.0 0.0 1.6 38.7 #> 74 74 0.0 0.0 6.3 12.0 0.0 0.0 0.0 1.6 38.7 #> 75 75 0.0 0.0 0.2 5.8 0.0 0.0 0.0 0.0 27.7 #> 76 76 0.0 0.0 0.2 5.8 0.0 0.0 0.0 0.0 27.7 #> 77 77 0.0 0.0 0.2 5.8 0.0 0.0 0.0 0.0 27.7 #> 78 78 0.0 0.0 0.2 5.8 0.0 0.0 0.0 0.0 27.7 #> 79 79 0.0 0.0 0.2 5.8 0.0 0.0 0.0 0.0 27.7 #> 80 80 0.0 0.0 0.0 4.6 0.0 0.0 0.0 0.0 25.2 #> 81 81 0.0 0.0 0.0 4.6 0.0 0.0 0.0 0.0 25.2 #> 82 82 0.0 0.0 0.0 4.6 0.0 0.0 0.0 0.0 25.2 #> 83 83 0.0 0.0 0.0 4.6 0.0 0.0 0.0 0.0 25.2 #> 84 84 0.0 0.0 0.0 4.6 0.0 0.0 0.0 0.0 25.2 #> 85 85 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 9.3 #> 86 86 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 9.3 #> 87 87 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 9.3 #> 88 88 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 9.3 #> 89 89 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 9.3 #> 90 90 0.0 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 0.0 #> 92 92 0.0 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 0.0 #> 94 94 0.0 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 0.0 #> 96 96 0.0 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 0.0 #> 98 98 0.0 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 0.0 #> [ reached getOption("max.print") -- omitted 1 row ]
# Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiNIC2013[ppiNIC2013$score == ppiScore, ]
#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp250 ppp375 ppp800 #> 50 50 0 6.7 43.4 70.2 1 0 2.9 25.7 89.8
# Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiNIC2013, score == ppiScore)
#> score nlFood nl100 nl150 nl200 extreme ppp125 ppp250 ppp375 ppp800 #> 50 50 0 6.7 43.4 70.2 1 0 2.9 25.7 89.8
# Given a specific PPI score (from 0 - 100), get a poverty probability # based on a specific poverty definition. In this example, the national # poverty line definition ppiScore <- 50 ppiNIC2013[ppiNIC2013$score == ppiScore, "nl100"]
#> [1] 6.7