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The most common method measuring and reporting poverty is the headcount ratio, given as the percentage of the population that is below the poverty line. For example, The New York Times in July 2012 reported the poverty headcount ratio as 11.1% of American population in 1973, 15.2% in 1983, and 11.3% in 2000. [6]
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According to World Bank, "Poverty headcount ratio at a defined value a day is the percentage of the population living on less than that value a day at 2017 purchasing power adjusted prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions."
The Foster–Greer–Thorbecke indices are a family of poverty metrics.The most commonly used index from the family, FGT 2, puts higher weight on the poverty of the poorest individuals, making it a combined measure of poverty and income inequality and a popular choice within development economics.
Headcount index (Po) is a widely-used measure, which simply indicates the proportion of the poor population. Although it does not indicate how poor the poor are. Formula: =, where Np is the number of poor and N is the total population.
Adjusted headcount ratio (M0), otherwise known as the MPI: This measure reflects both the incidence of poverty (the percentage of the population who are poor) and the intensity of poverty (the percentage of deprivations suffered by each person or household on average). M0 is calculated by multiplying the incidence (H) by the intensity (A). M0 ...
Head count ratio in South Africa. The head count ratio (HCR) is the population proportion that exists, or lives, below the poverty threshold. [1] One of the undesirable features of the head count ratio is that it ignores the depth of poverty; if the poor become poorer, the head count index does not change. [2]
Sen poverty measure combines the Gini coefficient for people living below the poverty line with headcount ration of poverty and the average income of these below the poverty line. [20] This measure has been developed by Nobel Prize winner Amartya Sen but has not yet been used in the field of income inequality hypothesis.