ppiETH2016 {ppitables} | R Documentation |
Poverty Probability Index (PPI) lookup table for Ethiopia
Description
Poverty Probability Index (PPI) lookup table for Ethiopia
Usage
ppiETH2016
Format
A data frame with 21 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%)
ppp100
Below $1.00 per day purchasing power parity (2005)
ppp125
Below $1.25 per day purchasing power parity (2005)
ppp175
Below $1.75 per day purchasing power parity (2005)
ppp200
Below $2.00 per day purchasing power parity (2005)
ppp250
Below $2.50 per day purchasing power parity (2005)
ppp500
Below $5.00 per day purchasing power parity (2005)
ppp190
Below $1.90 per day purchasing power parity (2011)
ppp310
Below $3.10 per day purchasing power parity (2011)
ppp380
Below $3.80 per day purchasing power parity (2011)
ppp400
Below $4.00 per day purchasing power parity (2011)
half100
Poorest half below 100 national
percentile20
Below 20th percentile poverty line
percentile40
Below 40th percentile poverty line
percentile50
Below 50th percentile poverty line
percentile60
Below 60th percentile poverty line
percentile80
Below 80th percentile poverty line
Source
Examples
# Access Ethiopia PPI table
ppiETH2016
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiETH2016[ppiETH2016$score == ppiScore, ]
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiETH2016, score == ppiScore)
# 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
ppiETH2016[ppiETH2016$score == ppiScore, "nl100"]