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In the lab of Rebecca Gast, a microbial ecologist at Woods Hole Oceanographic Institution, we're using DNA-based molecular methods to count indicator organisms in beach sands and see how their numbers compare in different parts of beaches and over the course of the summer.
Figure 4 Montana Children Low-income Working Families without Health Insurance, 1999 Montana 30% United States 24% Note: Table made from bar graph Figure 5 Montana KIDS COUNT Indicators, Percent Change from 1990 to 1999 Percent of children in proverty (data reflect poverty in 1989 and 1998) Indicators Worse Better Montana 0 United States 5% Percent of families headed by a single parent Indicators Worse Better Montana 27% United States 13% Percent of children living in families where no parent has full-time, year-round employment Indicators Worse Better Montana 7% United States 17% Source: Annie E.
[FIGURE 2 OMITTED] [FIGURE 3 OMITTED] Table 1 KIDS COUNT Indicators, Missoula County Area % of Total Children 18 and % of Children Population Receiving Under as 18 and Under County Food Stamps of Population in Poverty MONTANA 7% 26% 21% Missoula 6% 23% 20% Ravalli 5% 26% 22% Lake 9% 28% 27% Sanders 6% 24% 25% Mineral 11% 24% 30% Source: KIDS COUNT, Bureau of Business and Economic Research, The University of Montana-Missoula.