Poverty Probability Index (PPI) lookup table for Philippines using legacy poverty definitions
Source:R/00_philippines.R
ppiPHL2014.RdPoverty Probability Index (PPI) lookup table for Philippines using legacy poverty definitions
Format
A data frame with 6 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)
ppp500Below $5.00 per day purchasing power parity (2005)
ppp432Below $4.32 per day purchasing power parity (1993)
Examples
# Access Philippines PPI table
ppiPHL2014
#> score nl100 ppp125 ppp250 ppp500 ppp432
#> 0 0 100.0 100.0 100.0 100.0 100.0
#> 1 1 100.0 100.0 100.0 100.0 100.0
#> 2 2 100.0 100.0 100.0 100.0 100.0
#> 3 3 100.0 100.0 100.0 100.0 100.0
#> 4 4 100.0 100.0 100.0 100.0 100.0
#> 5 5 100.0 100.0 100.0 100.0 100.0
#> 6 6 100.0 100.0 100.0 100.0 100.0
#> 7 7 100.0 100.0 100.0 100.0 100.0
#> 8 8 100.0 100.0 100.0 100.0 100.0
#> 9 9 100.0 100.0 100.0 100.0 100.0
#> 10 10 95.0 85.1 98.8 100.0 97.8
#> 11 11 95.0 85.1 98.8 100.0 97.8
#> 12 12 95.0 85.1 98.8 100.0 97.8
#> 13 13 95.0 85.1 98.8 100.0 97.8
#> 14 14 95.0 85.1 98.8 100.0 97.8
#> 15 15 90.1 72.6 98.0 100.0 96.8
#> 16 16 90.1 72.6 98.0 100.0 96.8
#> 17 17 90.1 72.6 98.0 100.0 96.8
#> 18 18 90.1 72.6 98.0 100.0 96.8
#> 19 19 90.1 72.6 98.0 100.0 96.8
#> 20 20 80.1 58.0 93.6 99.6 91.7
#> 21 21 80.1 58.0 93.6 99.6 91.7
#> 22 22 80.1 58.0 93.6 99.6 91.7
#> 23 23 80.1 58.0 93.6 99.6 91.7
#> 24 24 80.1 58.0 93.6 99.6 91.7
#> 25 25 71.8 42.7 90.6 99.3 88.2
#> 26 26 71.8 42.7 90.6 99.3 88.2
#> 27 27 71.8 42.7 90.6 99.3 88.2
#> 28 28 71.8 42.7 90.6 99.3 88.2
#> 29 29 71.8 42.7 90.6 99.3 88.2
#> 30 30 57.2 29.0 82.7 98.6 77.3
#> 31 31 57.2 29.0 82.7 98.6 77.3
#> 32 32 57.2 29.0 82.7 98.6 77.3
#> 33 33 57.2 29.0 82.7 98.6 77.3
#> 34 34 57.2 29.0 82.7 98.6 77.3
#> 35 35 41.6 17.6 71.4 97.7 64.5
#> 36 36 41.6 17.6 71.4 97.7 64.5
#> 37 37 41.6 17.6 71.4 97.7 64.5
#> 38 38 41.6 17.6 71.4 97.7 64.5
#> 39 39 41.6 17.6 71.4 97.7 64.5
#> 40 40 26.7 10.2 56.4 94.6 49.8
#> 41 41 26.7 10.2 56.4 94.6 49.8
#> 42 42 26.7 10.2 56.4 94.6 49.8
#> 43 43 26.7 10.2 56.4 94.6 49.8
#> 44 44 26.7 10.2 56.4 94.6 49.8
#> 45 45 18.5 6.4 41.8 86.7 35.1
#> 46 46 18.5 6.4 41.8 86.7 35.1
#> 47 47 18.5 6.4 41.8 86.7 35.1
#> 48 48 18.5 6.4 41.8 86.7 35.1
#> 49 49 18.5 6.4 41.8 86.7 35.1
#> 50 50 7.7 2.6 26.3 76.0 19.5
#> 51 51 7.7 2.6 26.3 76.0 19.5
#> 52 52 7.7 2.6 26.3 76.0 19.5
#> 53 53 7.7 2.6 26.3 76.0 19.5
#> 54 54 7.7 2.6 26.3 76.0 19.5
#> 55 55 3.4 0.9 12.1 60.9 8.6
#> 56 56 3.4 0.9 12.1 60.9 8.6
#> 57 57 3.4 0.9 12.1 60.9 8.6
#> 58 58 3.4 0.9 12.1 60.9 8.6
#> 59 59 3.4 0.9 12.1 60.9 8.6
#> 60 60 1.0 0.3 6.0 46.4 4.0
#> 61 61 1.0 0.3 6.0 46.4 4.0
#> 62 62 1.0 0.3 6.0 46.4 4.0
#> 63 63 1.0 0.3 6.0 46.4 4.0
#> 64 64 1.0 0.3 6.0 46.4 4.0
#> 65 65 0.7 0.2 2.9 30.8 2.0
#> 66 66 0.7 0.2 2.9 30.8 2.0
#> 67 67 0.7 0.2 2.9 30.8 2.0
#> 68 68 0.7 0.2 2.9 30.8 2.0
#> 69 69 0.7 0.2 2.9 30.8 2.0
#> 70 70 0.2 0.0 1.1 19.7 0.9
#> 71 71 0.2 0.0 1.1 19.7 0.9
#> 72 72 0.2 0.0 1.1 19.7 0.9
#> 73 73 0.2 0.0 1.1 19.7 0.9
#> 74 74 0.2 0.0 1.1 19.7 0.9
#> 75 75 0.1 0.0 0.7 7.6 0.6
#> 76 76 0.1 0.0 0.7 7.6 0.6
#> 77 77 0.1 0.0 0.7 7.6 0.6
#> 78 78 0.1 0.0 0.7 7.6 0.6
#> 79 79 0.1 0.0 0.7 7.6 0.6
#> 80 80 0.0 0.0 0.3 3.2 0.0
#> 81 81 0.0 0.0 0.3 3.2 0.0
#> 82 82 0.0 0.0 0.3 3.2 0.0
#> 83 83 0.0 0.0 0.3 3.2 0.0
#> 84 84 0.0 0.0 0.3 3.2 0.0
#> 85 85 0.0 0.0 0.0 1.1 0.0
#> 86 86 0.0 0.0 0.0 1.1 0.0
#> 87 87 0.0 0.0 0.0 1.1 0.0
#> 88 88 0.0 0.0 0.0 1.1 0.0
#> 89 89 0.0 0.0 0.0 1.1 0.0
#> 90 90 0.0 0.0 0.0 0.0 0.0
#> 91 91 0.0 0.0 0.0 0.0 0.0
#> 92 92 0.0 0.0 0.0 0.0 0.0
#> 93 93 0.0 0.0 0.0 0.0 0.0
#> 94 94 0.0 0.0 0.0 0.0 0.0
#> 95 95 0.0 0.0 0.0 0.0 0.0
#> 96 96 0.0 0.0 0.0 0.0 0.0
#> 97 97 0.0 0.0 0.0 0.0 0.0
#> 98 98 0.0 0.0 0.0 0.0 0.0
#> 99 99 0.0 0.0 0.0 0.0 0.0
#> 100 100 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
ppiPHL2014[ppiPHL2014$score == ppiScore, ]
#> score nl100 ppp125 ppp250 ppp500 ppp432
#> 50 50 7.7 2.6 26.3 76 19.5
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiPHL2014, score == ppiScore)
#> score nl100 ppp125 ppp250 ppp500 ppp432
#> 50 50 7.7 2.6 26.3 76 19.5
# 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
ppiPHL2014[ppiPHL2014$score == ppiScore, "nl100"]
#> [1] 7.7