{'fraction_non_alphanumeric': 0.016319129646418858, 'fraction_numerical': 0.0, 'mean_word_length': 5.308571428571429, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Measuring Human Poverty by Population and Factor Decomposable Indices

The human poverty index concentrates on deprivations in the living standard of a population in terms of failures in three basic dimensions of life, namely, decent living standard, educational attainment rate and life expectancy at birth. This paper considers a global deprivation index using an arbitrary number of dimensions of human life. If we consider only the three basic dimensions of well-being, a member of this family becomes increasingly related to the human poverty index. For any partitioning of the population into two or more groups, with respect to characteristics like age, sex, race, region etc., we can calculate the percentage contributions of deprivations in different groups and hence identify the groups which are more affected by deprivation. This becomes extremely important from a policy perspective. Using a factor decomposability condition we can similarly isolate the dimensions which are major contributors to global deprivation. We also provide an empirical illustration of the index using Indian data.