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State, federal district, or territory HDI (2022) [note 1] [1] Very High Human Development 1 Massachusetts: 0.956 New Hampshire: 3 Colorado: 0.952 Washington: 5 Minnesota: 0.951 6 Connecticut: 0.950 — District of Columbia: 0.947 7 Hawaii: 8 Vermont: 0.945 9 New Jersey: 0.943 10 Maryland: 0.942 11 Virginia: 0.939 12 Oregon: 0.938 13 New York: 0 ...
Standard indicators of the quality of life include wealth, employment, ... Quality of life can simply mean happiness, which is the subjective state of mind. By using ...
The indicators that make up the ACS go beyond simple measures of health and safety; they also address important personal outcomes such as community engagement, independence, decision-making, self-direction and other person-centered components of a quality life.
Avery-Stoss said quality-of-life factors are critical for attracting and retaining graduates and skilled workers. Although there is not a single, systematic way to measure quality of life, it can ...
Human Development Index map for Indian states in 2006, as calculated by Government of India and UNDP India. [15] This is a list of Indian states by their respective Human Development Index (HDI), as of 2008. [1] Kerala stands first in Human Development Index among the states in India. 1981 to 2011 Human development index in India
The Physical Quality of Life Index (PQLI) is an attempt to measure the quality of life or well-being of a country. The value is the average of three statistics: basic literacy rate , infant mortality, and life expectancy at age one, all equally weighted on a 1 to 100 scale.
Standard indicators of the quality of life include wealth, employment, the environment, physical and mental health, education, recreation and leisure time, social belonging, religious beliefs, safety, security and freedom
Researchers identified 11 statistically significant indicators that explained about 85% of the variation in life satisfaction scores across countries. These predicted scores represent a country’s quality of life index, with coefficients automatically weighing the importance of different factors.