Purpose: This study explores female-headed households in Grand Bassa, Lofa and Nimba counties to discern Liberia's smallholding, subsistence agriculture. Amid environmental and communal dynamics, addressing factors causing challenges of farming is imperative. Methodology: Using explanatory sequential methods this study collects, explains, and…

This paper studies multidimensional poverty for Argentina, Brazil, Chile, El Salvador, Mexico and Uruguay for the period 1992-2006. The approach overcomes the limitations of the two traditional methods of poverty analysis in Latin America (income-based and unmet basic needs) by combining income with five other dimensions: school attendance for…

The impact of a large manufacturing plant on a small village in "middle America" was explored in this paper. Research was conducted in Illinois using Putnam County as an "experimental" region and Iroquois County as a "control." In the spring of 1966, the Jones and Laughlin Steel Corporation began construction of a…

Examining the relationship between urban to rural migrants and household income, 2,118 respondents representing urban and rural populations stratified across different labor markets within 8 counties in the northeastern Coastal Plains of North Carolina were surveyed. The variables employed were: households by race, female head, absence of 1974…

In 1972 and 1973, 7 southern states (Alabama, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee) were surveyed to determine household head or spouse's perceptions of quality of life (QOL) in their county of residence and to determine perceptions of change in quality of life for their family situations, within their…

Household socioeconomic characteristics in nonmetropolitan areas of the New England states and New Jersey were examined to determine if differences existed among communities according to their growth status--growing, stable, declining. Data for the regional analysis came from 2,141 interviews; chi-square was used to test for significant…

A study was made of 538 disadvantaged and 247 non-disadvantaged household heads in Iowa -- their occupation, training desired, material possessions, membership and participation. The sample included 643 males and 142 females and was distributed in zones from open country to large urban areas. According to the prescribed criteria 14% of the…

As part of a larger study prepared to provide local leaders with information on socioeconomic characteristics and household attitudes in four Kentucky counties, this databook on Harlan County is compiled from 1961 (open country area) and 1973 (nonopen country area and open country area) surveys. The sampling procedure involved a random selection…

As part of a larger study prepared to provide local leaders with information on socioeconomic characteristics and household attitudes in four Kentucky counties, this databook on Wolfe County is compiled from 1961 (open country area) and 1973 (open country and nonopen country area) surveys. The sampling procedure involved a random selection of…

Change and persistent problems in the quality of life of open-country families (n=317) in four eastern Kentucky counties (Harlan, Perry, Whitley, and Wolfe) were examined via comparison of data derived from surveys of household heads in 1961 and 1973. The 1961 survey provided data on occupations, income, level of living, and opinions re: the…

Data from the Annual Housing Survey indicated that 22% of all employed United States household heads commuted to a county different from that in which they lived in 1975. Commuting was more prevalent among men than among women and slightly higher for whites than for Blacks. Commuting tended to increase until age 25-34 and then to decline after age…

Using the U.S. Census definition of poverty, an attempt was made to determine: how many poverty level South Dakota families there were in 1970 and where they resided; the socioeconomic factors explaining county differences in poverty incomes; whether those factors explaining poverty incidence would correlate with county differences in the extent…