| ppiTZA2022 | R Documentation | 
Poverty Probability Index (PPI) lookup table for Tanzania 2022
ppiTZA2022
A data frame with 21 columns and 100 rows:
scorePPI score
nl_upperNational upper poverty line
nl_lowerNational lower poverty line
extremeExtreme poverty line
nl150National poverty line (150%)
nl200National poverty line (200%)
ppp100Below $1.00 per day purchasing power parity (2011)
ppp190Below $1.90 per day purchasing power parity (2011)
ppp320Below $3.20 per day purchasing power parity (2011)
ppp550Below $5.50 per day purchasing power parity (2011)
ppp800Below $8.00 per day purchasing power parity (2011)
ppp1100Below $11.00 per day purchasing power parity (2011)
ppp1500Below $15.00 per day purchasing power parity (2011)
ppp2170Below $21.70 per day purchasing power parity (2011)
ppp125Below $1.25 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
ppp500Below $5.00 per day purchasing power parity (2005)
percentile20Below 20th percentile poverty line
percentile40Below 40th percentile poverty line
percentile60Below 50th percentile poverty line
percentile80Below 60th percentile poverty line
  # Access Tanzania PPI table
  ppiTZA2022
  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiTZA2022[ppiTZA2022$score == ppiScore, ]
  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiTZA2022, score == ppiScore)
  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiTZA2022[ppiTZA2022$score == ppiScore, "extreme"]
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