ppiIND2016_r66: Poverty Probability Index (PPI) lookup table for India using...

In validmeasures/ppitables: Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)

Poverty Probability Index (PPI) lookup table for India using r66 poverty definitions

Description

Poverty Probability Index (PPI) lookup table for India using r66 poverty definitions

Usage

ppiIND2016_r66

Format

A data frame with 8 columns and 101 rows:

score

PPI score

tendulkar

National tendulkar

tendulkar100

National tendulkar (100%)

tendulkar150

National tendulkar (150%)

tendulkar200

National tendulkar (200%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp188

Below $1.88 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access India PPI table
  ppiIND2016_r66

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiIND2016_r66[ppiIND2016_r66$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiIND2016_r66, 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
  # tendulkar poverty definition
  ppiScore <- 50
  ppiIND2016_r66[ppiIND2016_r66$score == ppiScore, "tendulkar"]

validmeasures/ppitables documentation built on June 12, 2025, 11:52 a.m.