Community Characteristics Sample Clauses

Community Characteristics. Historic and Archeological Sites and Natural Landnarks

Community Characteristics.  Members of the coffee, horticulture and handicraft organizations in those communities selected for RVCP are primarily located in remote areas with difficult access and at some distance from their local seat of government (cabecera municipal). These communities are in precarious conditions lacking basic services. A significant percentage of the members from those communities work in coffee; the families make their living as day laborers, subsistence farmers or from informal handicraft production. Much of the population provides seasonal labor to supplement their income. ARTEXCO works to implement RVCP activities in 27 communities that were in danger of losing their handicraft traditions threatened by imported synthetic material, low wages and youth with little interest in learning the craft. RVCP interventions rekindled this economic activity and awakened interest among younger workers to continue to make handicrafts by taking advantage of the tools procured by RVCP to optimize productive processes and lower production costs.  The communities are primarily indigenous population from three ethnic groups: Mam, Quiche and Kaqchikel. The languages spoken are Popti, Kanjobal, Mam, Pocomam, Quiche and Kaqchikel.  RVCP communities are about 90% reliant on coffee production, primarily micro, small and medium growers producing coffee as follows: Strictly Hard Bean (SHB) (70%), Hard Bean (HB) (20%) and Extra Prime (EP) (10%). The coffee tree varieties that predominate in the area are about 98% Arabica – Bourbon, Caturra, Catuai, Xxxxx. The remaining two percent is Robusta, found primarily in the San Marcos lowlands. The land upon which coffee is planted is sloped (80%) and hilly (20%). The soils are volcanic and predominantly loamy clay, loamy xxxxx and chalky clay.  The growers participating through RVCP reside primarily in communities facing dire circumstances because of the global financial crisis and the effects of climate change. The problems they face include:  food insecurity;  reliance on a single crop (90% reliant on coffee production) while some individuals provide seasonal labor in nearby areas;  70% of the road infrastructure is in poor condition; many are dirt roads that are difficult to travel during the rainy season;  public services are deficient or almost non-existent (health, security and education);  limited income diversification;  increased environmental impact from human activities, and  high levels of poverty and chronic child malnu...

Community Characteristics. Community characteristics are presented in Table 2. Across communities, the proportion of women reporting IPV was 21.7% (0.0-48.6), 42.7% (16.3-66.6) of women had higher relative schooling, 60.7% (31.3-91.2), and 15.8% (1.4-43.4) of women had household decision-making power. The mean wealth index was -0.32 (-2.16-1.34). Xxxxxxx correlations between community variables are shown in Table 3. The percent of women reporting prior year IPV was positively associated with the proportion of women who worked in the past year and the proportion of women with household decision-making power. The percent of women who had greater relative schooling was negatively associated with the percent of women reporting prior year IPV. Mean wealth index was not significantly associated with community IPV. Percent working in the past year, percent of women with household-decision making power, and mean wealth index were all negatively associated with percent greater relative schooling. Mean wealth index and percent of women with household-decision making power were positively associated with the percent of women working in the past year. Mean wealth index and percent of women with household-decision making power were positively associated. Following the model building strategy outlined above, we first ran Model 1, an unconditional means model, to establish a baseline variance (0.105) for prior year IPV. Models 2-4 are two-level random intercept models in which we examined each community variable separately. Only the percent of women who reported prior year IPV in the community was significant with prior year IPV, so Model 4 was also our final model. Controlling for relative education, woman’s education, history of family violence, work and relationship status, age, and number of children at home, the log odds of experiencing prior year IPV increased by 5% for every percent increase in community level IPV (OR = 1.05, 95% CI = 1.05, 1.06). The community variance component was reduced to 0.001 and was non-significant.

Community Characteristics. ▪ Financial resources ▪ Funding of school programs ▪ Priorities for schooling