The Makings of Community
The local community of Gaithersburg, Maryland is a fairly well to do suburb of Washington D.C. Today, it has a number of industries characterized by the life sciences and science in general. The impetus for these industries arguably occurred midway through the 20th century when the National Institute of Standards and Technology (known at the time as the National Bureau of Standards) arrived (Gaithersburg Life, 2016). The correlation between this entity and other public sector interests in nearby Washington D.C. is responsible for the array of technology and science companies which populate this city, which still feels like a suburb in many ways. Gaithersburg is known for its diversity and its railroad.
In many ways, Gaithersburg’s historical development chronicles that of the United States itself. It originated in the 18th century as a small agricultural town in which the chief industry was husbandry. Moreover, the region had an assortment of trees including Oak trees that typified its landscape. However, with the creation of the railroad system at the end of the 19th century, the town began its development to modernity in earnest. By this time the town had been named after David Gaither who, early in the 19th century, built a...
References
Best Places. (2017). Gaithersburg, Maryland. http://www.bestplaces.net/ Retrieved from http://www.bestplaces.net/economy/city/maryland/gaithersburg
Data USA. (2015). Gaithersburg, M.D. https://datausa.io/ Retrieved from https://datausa.io/profile/geo/gaithersburg-md/#economy
Gaithersburg Life. (2017). A brief history of Gaithersburg, Maryland. http://gaithersburg.life/ Retrieved from http://gaithersburg.life/a-brief-history-of-gaithersburg-maryland/
United States Census Bureau. (2015). Gaithersburg city, Maryland. https://www.census.gov/ Retrieved from https://www.census.gov/quickfacts/fact/table/gaithersburgcitymaryland/POP060210#viewtop
Unemployment Rate The Disparity in the Unemployment Rate in the United States A recent article in the Sun Journal by Margaret Fisher (2012) has raised some serious questions as to the true state of the economy. While statistics from the department of labor assert the unemployment rate has dropped, giving the impression that the economy is in a recovery mode, Fisher maintains that this is misleading due to the fact that many
Unemployment rate in the United States has fluctuated between nine and ten percent for well over two years now ("Labor Force Statistics"). That rate is more than double what it was a mere ten years ago, putting millions more Americans on the unemployment compensation rolls. More alarming than the numbers is the general feeling of pessimism that has enveloped the country as the population wonders when the economy might turn
For example, one Pontiac Assembly plant in Pontiac, Michigan, "was running three consecutive eight-hour shifts, employing 3,000 people and making 1,300 trucks a day," in 2003, but in the summer of 2009, the plant had only 600 workers and "was running just one shift" (Mahler 2009, p.1). As a result of the failure of GM, the housing bubble, and the explosion of easy credit and 'creative' financing, many Michigan
"The Detroit, Michigan drop-out rate among black males is 50%, the Detroit unemployment rate among black males is 50%" (Kill 145). This demonstrates that education is very important when considering unemployment rates and that the auto industry is, to a certain degree, not the only institution responsible for the critical conditions currently faced by individuals in Michigan. Although it is difficult to determine what other factors are responsible for the
Thus, the testing will not only expose a relationship, but may shed light into how it will continue to evolve in the future. Using Microsoft Excel, a regression test was administered for each individual independent variable as it related to the dependent variable of general unemployment in Detroit. Data Automotive Industry Employment rates in thousands Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual 2002 2003 2004 2005 2006 2007 2008 96.9 2009 79.5 86.6 86.2 85.4 77.2 73.4 73.5 80.5 84.3 83.9 82.8 83.9 81.4 2010 82.7 82.7 82.6 83.3 83.8 85.0 81.2 83.3 87.6 89.4 89.8 90.2 85.1 2011 89.4 90.4 91.2 93.1 93.4 94.1 83.3 92.0 94.7 96.3 96.7 97.4 92.7 2012 97.6 98.2 99.3 97.4 98.5 99.5 95.8 96.8 97.7 97.7(P) P: Preliminary (United States Bureau of Labor Statistics 2012) Year Period labor force employment unemployment OUTPUT Regression Statistics Multiple R 0.872748 R Square 0.761689 Adjusted R. Square 0.7319 Standard Error 1.573775 Observations 10 ANOVA df SS MS F Significance
Cyclical Unemployment economists overstating cyclical unemployment rate understating natural rate? Are economists overstating the cyclical unemployment rate and understating the natural rate? Cyclical unemployment derives its name from the fact that it reflects the 'cyclical' ebbs and flows of the business cycle (Ask an economist, 2008, Labor Market Info). When the economy is doing poorly, workers are let go and are involuntarily unemployed. Although the contraction may begin within one economic sector, eventually
Our semester plans gives you unlimited, unrestricted access to our entire library of resources —writing tools, guides, example essays, tutorials, class notes, and more.
Get Started Now