ppiIND2016_r68: Poverty Probability Index (PPI) lookup table for India using...

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

Description

Poverty Probability Index (PPI) lookup table for India using r68 poverty definitions

Usage

ppiIND2016_r68

Format

A data frame with 16 columns and 101 rows:

score

PPI score

rangarajan100

National rangarajan (100%)

rangarajan150

National rangarajan (150%)

rangarajan200

National rangarajan (200%)

half100

Poorest half below 100% national

rbiUrban

RBI urban

rbiRural

RBI rural

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)

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 India PPI table
  ppiIND2016_r68

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiIND2016_r68[ppiIND2016_r68$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiIND2016_r68, 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
  # rangarajan poverty definition
  ppiScore <- 50
  ppiIND2016_r68[ppiIND2016_r68$score == ppiScore, "rangarajan100"]

ppitables documentation built on Jan. 13, 2021, 7:08 p.m.