ppiETH2016 {ppitables}

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

https://www.povertyindex.org

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"]