Poverty Probability Index (PPI) lookup table for Namibia
Format
A data frame with 9 columns and 101 rows:
scorePPI score
nl100National lower poverty line (100%)
nu100National upper poverty line (100%)
nu150National upper poverty line (150%)
nu200National upper 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 Namibia PPI table
ppiNAM2013
#> score nl100 nu100 nu150 nu200 extreme ppp125 ppp200 ppp250
#> 0 0 77.4 96.2 100.0 100.0 80.2 87.1 100.0 100.0
#> 1 1 77.4 96.2 100.0 100.0 80.2 87.1 100.0 100.0
#> 2 2 77.4 96.2 100.0 100.0 80.2 87.1 100.0 100.0
#> 3 3 77.4 96.2 100.0 100.0 80.2 87.1 100.0 100.0
#> 4 4 77.4 96.2 100.0 100.0 80.2 87.1 100.0 100.0
#> 5 5 71.4 89.3 100.0 100.0 75.3 84.3 100.0 100.0
#> 6 6 71.4 89.3 100.0 100.0 75.3 84.3 100.0 100.0
#> 7 7 71.4 89.3 100.0 100.0 75.3 84.3 100.0 100.0
#> 8 8 71.4 89.3 100.0 100.0 75.3 84.3 100.0 100.0
#> 9 9 71.4 89.3 100.0 100.0 75.3 84.3 100.0 100.0
#> 10 10 68.9 82.6 98.9 99.4 69.8 79.0 98.9 99.3
#> 11 11 68.9 82.6 98.9 99.4 69.8 79.0 98.9 99.3
#> 12 12 68.9 82.6 98.9 99.4 69.8 79.0 98.9 99.3
#> 13 13 68.9 82.6 98.9 99.4 69.8 79.0 98.9 99.3
#> 14 14 68.9 82.6 98.9 99.4 69.8 79.0 98.9 99.3
#> 15 15 46.6 74.7 93.3 98.9 48.3 60.7 91.5 97.0
#> 16 16 46.6 74.7 93.3 98.9 48.3 60.7 91.5 97.0
#> 17 17 46.6 74.7 93.3 98.9 48.3 60.7 91.5 97.0
#> 18 18 46.6 74.7 93.3 98.9 48.3 60.7 91.5 97.0
#> 19 19 46.6 74.7 93.3 98.9 48.3 60.7 91.5 97.0
#> 20 20 42.3 66.9 92.0 98.5 40.9 52.9 88.5 95.8
#> 21 21 42.3 66.9 92.0 98.5 40.9 52.9 88.5 95.8
#> 22 22 42.3 66.9 92.0 98.5 40.9 52.9 88.5 95.8
#> 23 23 42.3 66.9 92.0 98.5 40.9 52.9 88.5 95.8
#> 24 24 42.3 66.9 92.0 98.5 40.9 52.9 88.5 95.8
#> 25 25 21.9 51.8 81.6 90.7 19.9 33.7 73.1 86.5
#> 26 26 21.9 51.8 81.6 90.7 19.9 33.7 73.1 86.5
#> 27 27 21.9 51.8 81.6 90.7 19.9 33.7 73.1 86.5
#> 28 28 21.9 51.8 81.6 90.7 19.9 33.7 73.1 86.5
#> 29 29 21.9 51.8 81.6 90.7 19.9 33.7 73.1 86.5
#> 30 30 17.1 39.4 70.5 88.9 15.7 24.7 63.0 80.3
#> 31 31 17.1 39.4 70.5 88.9 15.7 24.7 63.0 80.3
#> 32 32 17.1 39.4 70.5 88.9 15.7 24.7 63.0 80.3
#> 33 33 17.1 39.4 70.5 88.9 15.7 24.7 63.0 80.3
#> 34 34 17.1 39.4 70.5 88.9 15.7 24.7 63.0 80.3
#> 35 35 11.3 30.3 66.2 86.3 8.1 17.3 55.9 72.3
#> 36 36 11.3 30.3 66.2 86.3 8.1 17.3 55.9 72.3
#> 37 37 11.3 30.3 66.2 86.3 8.1 17.3 55.9 72.3
#> 38 38 11.3 30.3 66.2 86.3 8.1 17.3 55.9 72.3
#> 39 39 11.3 30.3 66.2 86.3 8.1 17.3 55.9 72.3
#> 40 40 6.0 16.7 51.2 71.9 3.4 9.3 35.9 57.1
#> 41 41 6.0 16.7 51.2 71.9 3.4 9.3 35.9 57.1
#> 42 42 6.0 16.7 51.2 71.9 3.4 9.3 35.9 57.1
#> 43 43 6.0 16.7 51.2 71.9 3.4 9.3 35.9 57.1
#> 44 44 6.0 16.7 51.2 71.9 3.4 9.3 35.9 57.1
#> 45 45 3.1 12.2 40.7 64.0 1.6 4.2 26.4 44.4
#> 46 46 3.1 12.2 40.7 64.0 1.6 4.2 26.4 44.4
#> 47 47 3.1 12.2 40.7 64.0 1.6 4.2 26.4 44.4
#> 48 48 3.1 12.2 40.7 64.0 1.6 4.2 26.4 44.4
#> 49 49 3.1 12.2 40.7 64.0 1.6 4.2 26.4 44.4
#> 50 50 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3
#> 51 51 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3
#> 52 52 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3
#> 53 53 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3
#> 54 54 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3
#> 55 55 1.1 4.9 17.7 36.9 0.7 1.1 10.4 19.4
#> 56 56 1.1 4.9 17.7 36.9 0.7 1.1 10.4 19.4
#> 57 57 1.1 4.9 17.7 36.9 0.7 1.1 10.4 19.4
#> 58 58 1.1 4.9 17.7 36.9 0.7 1.1 10.4 19.4
#> 59 59 1.1 4.9 17.7 36.9 0.7 1.1 10.4 19.4
#> 60 60 0.7 2.3 11.5 28.9 0.5 0.8 6.2 12.4
#> 61 61 0.7 2.3 11.5 28.9 0.5 0.8 6.2 12.4
#> 62 62 0.7 2.3 11.5 28.9 0.5 0.8 6.2 12.4
#> 63 63 0.7 2.3 11.5 28.9 0.5 0.8 6.2 12.4
#> 64 64 0.7 2.3 11.5 28.9 0.5 0.8 6.2 12.4
#> 65 65 0.6 1.7 5.3 18.2 0.5 0.8 3.8 6.2
#> 66 66 0.6 1.7 5.3 18.2 0.5 0.8 3.8 6.2
#> 67 67 0.6 1.7 5.3 18.2 0.5 0.8 3.8 6.2
#> 68 68 0.6 1.7 5.3 18.2 0.5 0.8 3.8 6.2
#> 69 69 0.6 1.7 5.3 18.2 0.5 0.8 3.8 6.2
#> 70 70 0.6 1.7 5.3 12.0 0.5 0.8 3.8 6.2
#> 71 71 0.6 1.7 5.3 12.0 0.5 0.8 3.8 6.2
#> 72 72 0.6 1.7 5.3 12.0 0.5 0.8 3.8 6.2
#> 73 73 0.6 1.7 5.3 12.0 0.5 0.8 3.8 6.2
#> 74 74 0.6 1.7 5.3 12.0 0.5 0.8 3.8 6.2
#> 75 75 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2
#> 76 76 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2
#> 77 77 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2
#> 78 78 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2
#> 79 79 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2
#> 80 80 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2
#> 81 81 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2
#> 82 82 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2
#> 83 83 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2
#> 84 84 0.6 1.7 5.3 11.6 0.5 0.8 3.8 6.2
#> 85 85 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 86 86 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 87 87 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 88 88 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 89 89 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 90 90 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 91 91 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 92 92 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 93 93 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 94 94 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 95 95 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 96 96 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 97 97 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 98 98 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 99 99 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
#> 100 100 0.6 1.8 5.3 11.6 0.5 0.8 3.8 6.2
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiNAM2013[ppiNAM2013$score == ppiScore, ]
#> score nl100 nu100 nu150 nu200 extreme ppp125 ppp200 ppp250
#> 50 50 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiNAM2013, score == ppiScore)
#> score nl100 nu100 nu150 nu200 extreme ppp125 ppp200 ppp250
#> 50 50 2.1 7.6 25.1 51.5 1.3 2.5 15.6 33.3
# 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
ppiNAM2013[ppiNAM2013$score == ppiScore, "nl100"]
#> [1] 2.1