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Found 10 records similar to Quality of Life - Housing
Income from employment allows for the purchase of goods and services. Employment status may also affect esteem and well-being. A high unemployment rate inversely impacts quality of life, since it may influence personal self-esteem, dignity and security; as well, have an impact on the purchasing of more basic needs. The greater the proportion of people working part year, part time relative to those working full-year, full time inversely influences quality of life, since it may indicate the lack of full-time employment opportunities.
Leisure and recreational activities affect overall well-being and can have a direct bearing on health. Opportunity for and access to leisure and recreational activities directly influences quality of life, since they are necessary for individual health and well-being.
The quality of the physical environment has effects on well-being, social participation and health. Populations with high spatial concentrations or densities (for example, the density of dwellings requiring major repairs) inversely influence quality of life, in terms of social behaviour and health, since they 1) inversely impact on the landscape, interfering with the ability to enjoy and appreciate the environment; and 2) result in concentrations of poor housing conditions, thus inversely impacting upon the environment and health. High levels of air pollution may severely impact health.
Stability is important for overall well-being and can be affected by adverse changes in the social environment. Lack of social stability inversely influences quality of life, because it suggests a possible breakdown of the social order. Impacts on health and well-being may vary, but can potentially have detrimental long-lasting repercussions for society and the individual. Lower mobility (or change in residence) among the population through time implies greater social cohesion.
Positive relationships play an important role in the mental health and well-being of youth. These include relationships with family and peers, and in schools and communities. Persistent negative thoughts and feelings may be related to poor mental health and well-being.
Health and education services now dominate the public sector, and have become important components of the local economy and social well-being. The map shows the difference between the actual employment in education services and the expected level, based on the city's population.
Health and education services now dominate the public sector, and have become important components of the local economy and social well-being. The map shows the difference between the actual employment in health services and the expected level, based on the city's population.
This synthesis paper summarizes the current state of knowledge and debate about the economic benefits of prevention. This includes evaluations of specific clinical, health protection, and health promotion interventions, as well as the potential micro- and macro-economic benefits of acting on broader determinants of health (e.g., early childhood development) for health and well-being.
The Community Well-Being (CWB) Index is a method of assessing socio-economic well-being in Canadian communities. Various indicators of socio-economic well-being, including education, labour force activity, income and housing, are derived from Statistics Canada's Census of Population and combined to give each community a well-being "score". These scores are used to compare well-being across First Nations and Inuit communities with well-being in other Canadian communities. Indicator values may be missing for a community because of non-participation in the census, inadequate data quality, or insufficient population size.
Health and education services now dominate the public sector, and have become important components of the local economy and social well-being. The map shows the difference between the actual employment in education and health activities and the expected level, based on the city's population. For the most part, these services are funded by provincial agencies, although local agencies may make location decisions. Education and health facilities are not closely related to income levels, so the expected levels of employment depend mainly on the population size.