Poverty and Income Distribution: Concepts and Measurement

The World Bank's $1.90 per day poverty line is a widely used absolute poverty line, representing the minimum income required to meet basic needs.

The Lorenz Curve is a graphical representation of the cumulative distribution of income or wealth in a population, showing the proportion of total income or wealth held by each percentage of the population.

The Gini coefficient is a commonly used measure of income inequality, ranging from 0 to 1, where 0 represents perfect equality and 1 represents perfect inequality.

Measuring poverty involves several challenges, including defining a universal poverty line, collecting accurate data on income and expenditure, and accounting for non-monetary factors such as access to education, healthcare, and sanitation.

A relative poverty line is defined as a certain percentage of the median income, typically 50% or 60%, and is used to measure poverty in relation to the overall income distribution.

The Human Development Index (HDI) is a composite statistic of life expectancy, education, and per capita income indicators, used to measure human well-being and development.

The Multidimensional Poverty Index (MPI) is a multidimensional poverty measure that considers multiple deprivations in health, education, and living standards.

Measuring income inequality involves several challenges, including defining a universal measure of inequality, collecting accurate data on income and wealth, and accounting for non-monetary factors such as access to education, healthcare, and sanitation.

The Indian government's ₹32 per day poverty line is a commonly used poverty line in India, representing the minimum income required to meet basic needs.

The poverty gap index measures the average income shortfall of the poor, representing the average difference between the poverty line and the income of the poor.

The headcount ratio is a commonly used measure of poverty, representing the proportion of the population living below the poverty line.

Measuring human well-being involves several challenges, including defining a universal measure of well-being, collecting accurate data on various dimensions of well-being, and accounting for non-monetary factors such as happiness, life satisfaction, and social inclusion.

The Gini coefficient is a commonly used measure of economic inequality, ranging from 0 to 1, where 0 represents perfect equality and 1 represents perfect inequality.

The Human Poverty Index (HPI) is a composite statistic of life expectancy, education, and living standards indicators, used to measure human well-being and development.

The Multidimensional Poverty Index (MPI) is a multidimensional poverty measure that considers multiple deprivations in health, education, and living standards.