834,573 research outputs found

    Expenditures of Urban and Rural Households in 2011

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    The United States is a nation of great diversity. Large houses and big red barns are found on the open farmlands of the Midwest while apartments and coffee shops occupy rs of busy city streets. The varying landscapes shape the lives, customs, and spending habits of Americans. Using data from the Bureau of Labor Statistics Consumer Expenditure Survey (CE), this BEYOND THE NUMBERS article examines demographic characteristics and spending habits of urban and rural households in the United States in 2011. In total, approximately 92 percent of households were urban and 8 percent were rural. The following data highlight important differences between consumer expenditures by rural and urban households in 2011: Urban households spent 7,808(18percent)morethanruralhouseholds.Urbanhouseholdsreceived7,808 (18 percent) more than rural households. Urban households received 15,779 (32 percent) more in yearly income than rural households. Higher housing expenditures by urban consumers accounted for about two-thirds of the difference in overall spending between urban and rural households. Rural households spent 32 percent more on prescription and nonprescription drugs than urban households. Urban households spent 28 percent more on food away from home and 5 percent less on food at home than rural households. Overall, urban households spent 7 percent more on food than rural households. Rural households spent more on gasoline and motor oil, and spent a higher percentage of their car and truck budgets on used vehicles. In the transportation spending category, urban households spent more on airline fares. Although rural and urban households spent about the same on entertainment, rural households spent more on pets, and urban households spent more on fees and admissions

    Knowledge, attitude and practice of urban and ruarl households towards principles of nutrition in Iran: results of NUTRIKAP Survey.

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    Background: The aim of this study was to assess knowledge, attitude and practice of urban and rural households toward principles of nutrition in Iran. Methods: The study population was Iranian households who live in rural and urban areas in all provinces of the country. The sampling method at householdsā€™ level in each province was single stage cluster sampling with equal size clusters. The incumbent data was collected by a structured questionnaire and through the interview with the eligible subject in each household. Results: A total of 14,136 Iranian households were selected as total sample size, 9,149 urban households, and 4,987 rural households. Around 57.2% of urban and 49.5% of rural households was aware of food groups. Respectively in urban and rural households, about 35.1% and 39.7% had correct knowledge toward roles of food groups. Approximately 41.5% and 39.9% of households had accurate knowledge about reason of food eating in urban and rural areas, respectively. The results showed that 79.6% of them had favorable attitudes. The most of the households consumed red meat and poultry weekly whereas fish was eaten rarely. Fruits, vegetables and dairy were consumed daily in the most of households. Sugar intake was daily in the most of households and cream and butter intake was weekly. Conclusion: The most of households had moderate knowledge and good attitudes. Practice of families about food consumption was good. The results of this study can be used for proper intervention for improving of health society

    Spending Patterns of High-income Households

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    [Excerpt] Although, less than 6 percent of the Nationā€™s consumer units (CUs) had annual incomes of more than 90,000in1994āˆ’95,thesehouseholdsaccountedforover14percentoftotalannualspending.Highincomehouseholdsspentabout90,000 in 1994-95, these households accounted for over 14 percent of total annual spending. High income households spent about 405 billion of the 2.8trilliontotaloutlaysofcompleteincomereporterhouseholds.Thesehighāˆ’incomehouseholds,onaverage,spentmorethanotherhouseholds(seetable),andtheyallocatedtheirexpendituresdifferently(seechart).Householdswithannualincomesofmorethan2.8 trillion total outlays of complete income reporter households. These high-income households, on average, spent more than other households (see table), and they allocated their expenditures differently (see chart). Households with annual incomes of more than 90,000, allocated larger shares to food away from home; housing operations, supplies and furnishings; personal insurance and pensions; cash contributions; entertainment; and apparel and services. Households with lower annual incomes allocated larger shares to food at home, shelter and utilities, transportation, and health care

    Food insecurity in veteran households: findings from nationally representative data

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    OBJECTIVE: The present study is the first to use nationally representative data to compare rates of food insecurity among households with veterans of the US Armed Forces and non-veteran households. DESIGN: We used data from the 2005-2013 waves of the Current Population Survey - Food Security Supplement to identify rates of food insecurity and very low food security in veteran and non-veteran households. We estimated the odds and probability of food insecurity in veteran and non-veteran households in uncontrolled and controlled models. We replicated these results after separating veteran households by their most recent period of service. We weighted models to create nationally representative estimates. SETTING: Nationally representative data from the 2005-2013 waves of the Current Population Survey - Food Security Supplement. SUBJECTS: US households (n 388 680). RESULTS: Uncontrolled models found much lower rates of food insecurity (8Ā·4 %) and very low food security (3Ā·3 %) among veteran households than in non-veteran households (14Ā·4 % and 5Ā·4 %, respectively), with particularly low rates among households with older veterans. After adjustment, average rates of food insecurity and very low food security were not significantly different for veteran households. However, the probability of food insecurity was significantly higher among some recent veterans and significantly lower for those who served during the Vietnam War. CONCLUSIONS: Although adjusting eliminated many differences between veteran and non-veteran households, veterans who served from 1975 and onwards may be at higher risk for food insecurity and should be the recipients of targeted outreach to improve nutritional outcomes

    Chicago Neighborhood Indicators 2000-2012

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    Key statistics for Chicago neighborhoods from 2000-2012, including the following indicators:Chicago Community Areas by Race and EthnicityIndividuals in Households with Incomes below 100% FPL (Poverty)Individuals in Households with Incomes below 50% FPL (Extreme Poverty)Individuals in Households with Incomes from 100 to 199% FPL (Low Income)Educational Attainment of Population Age 25+Renter Households Paying Over 30% of Income on Housing CostsRenter Households Paying Over 50% of Income on Housing CostsHouseholds Receiving Cash Public AssistanceHouseholds Receiving SNAP (Food Stamps)Employment Status of the Population Age 16+Poverty Status by Family Typ

    Australian households and families

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    The size of Australian households and the forms they take have changed in profound ways across the years. These trends result from the interaction of many factors; for example, the increasing size and ageing of the population, along with an extended period of ā€œhealthy ageingā€; technological advances; immigration patterns and cultural changes; economic shifts and the changing financial capacities of families; delays in milestones that most people experience in the course of their lives (such as leaving home, marrying and having children); changes in fertility; increased instability of relationships; increased family mobility and dispersion; and the increasing participation of women in the workforce.This fact sheet outlines the extent and nature of various changes that have been occurring in households in Australia, with particular attention given to households consisting of families of different forms. An understanding of these changes is an important policy issue, given that lifestyles, needs and resources are affected by the circumstances of living alone or with others, in a family or non-family setting. Such changes may have wide repercussions extending not only to immediate family members living elsewhere, but also to neighbourhoods and communities

    disAbility in Farm Households

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    [Excerpt] Recent information from the Census 2002 and a national survey conducted by the Teagasc National Farm Survey, indicates that disability affects a significant number of farm household members. Government through current and proposed legislation is in the process of developing both policy and practice to ensure that people with disability enjoy equality and full participation in society. Teagasc in the delivery of its services wishes to ensure that persons with disability are accommodated to the fullest possible extent. Teagasc plan to continue to investigate what services and supports are required by farm families related to disability. This booklet aims to inform the farming community about disability issues and to indicate how Teagasc services could be of assistance to farm households with a disabled member

    Hispanic Household Spending in 2015

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    Although the Hispanic population has grown more slowly in recent years, it still exerts a powerful influence on the U.S. economy. Consumer Expenditure Survey (CE) data show that, in 2015, households with a reference person of Hispanic or Latino origin were 13 percent of the sample, compared with 12.2 percent in 2010 and 10.6 percent in 2005. This Beyond the Numbers article uses 2015 CE data to examine spending by households with a Hispanic or Latino reference person, compared with households without a Hispanic or Latino reference person. (In the article, for convenience, ā€œHispanic or Latinoā€ is shortened to ā€œHispanic.ā€) Spending by Hispanic households is compared with spending by households with a non-Hispanic White reference person and spending by households with a non-Hispanic Black or African-American reference person
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