Unemployment data is extremely interesting when broken down by race, gender, geo

Question

Unemployment data is extremely interesting when broken down by race, gender, geographic area, or other defining characteristics because it tells a very different story than the simple national average data. For instance, when we consider unemployment rates by race from 1978-2006.

(This data can easily be accessed from the bureau of labor statistics at www.bls.gov.)

1. In a paragraph, explain what conclusions can be drawn from the time series data shown above? (Explain what the data is showing.)

2. According to your textbook, the data provided in the unemployment lecture video, and the attached document below, explain these unemployment rate discrepancies? (Make sure to cite the textbook and its page numbers)

UE Rate by Race supporting document.docx

Explanation / Answer

The data is not shown in the question.

1. The simple national average data on unemployment is an aggregate measure of unemployed people from all the categories of people who are differentiated by sex, race, color, etc. It does not reflect the differences in the unemployment rates of these sections. Whereas the actual unemployment data differs for each category of people. Blacks are more unemployed than the Whites or Hispanics, female unemployment rate is more than the male unemployment (which might be due to martial status, motherhood duties, etc) and unemployment rates can even differ due to geographical areas where Proximity to urban areas or factories might reduce unemployment rate than in the rural areas). All these differences are not reflected in the simple national average data on unemployment.

Document is not there.

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