A site to help policymakers, government officials, public and private agencies, and the public better understand Census data and related products.
Showing posts with label women. Show all posts
Showing posts with label women. Show all posts
Monday, February 22, 2016
Women Owned Businesses in the Region
Last week I posted about the region's minority owned businesses. Just like those data, data on women owned businesses can also be found in the 2012 Census of Business Owner, and specifically Table SB1200CSA01: Statistics for Firms by Industry, Gender, Ethnicity and Race. Below are just a few tidbits about female owned businesses in the Herkimer Oneida Counties region.
Thursday, March 5, 2015
Women in The Workforce: 1960 to 2010
As part of Women's History Month, the percentage of women making up the workforce in Herkimer County, 1960 to 2010.
Labels:
employment,
women,
work force
Thursday, July 11, 2013
How Mothers and Fathers Spend Their Work Week
I found this article from Businessweek.com about changes in parenting, especially for fathers, very interesting. The focus of the article is on how men are trying to find a balance between work and parenting. Of course part of that balance involves caring for the children (see this prior post about finding adequate day care arrangements). They offer the following graphic as a comparison of the typical work week hours put in for men and women, looking at data from 1965 and comparing it to similar data from 2011.
Based on the data from the PEW Research Center, while things seem to have become more balanced, women still provide twice as much child care, and do twice as much housework as men; they generally work only about half as much time per week as men, as well.
Based on the data from the PEW Research Center, while things seem to have become more balanced, women still provide twice as much child care, and do twice as much housework as men; they generally work only about half as much time per week as men, as well.
Labels:
child care,
housework,
men,
women
Friday, April 26, 2013
Back To The Future: Our Changing Workforce Characteristics
As an ancillary post to one I recently did on Where We Work and How We Get There, I wanted to add to that "look back at our future" with some data on changes in the workforce itself. Below are a couple graphics covering the percentage of the total county population in the civilian workforce, as well as the rise in female and college educated workers in both Herkimer and Oneida Counties. Click on either to enlarge the graphic for a better look at how we've changed over the last 50 years.
| Click to Enlarge |
| Click to Enlarge |
Labels:
education,
retrospective,
women,
workers,
workforce
Tuesday, April 9, 2013
Female Mortality Rates Rise in Almost Half of US Counties Between 1992 and 2006
An article in The Incidental Economist notes:
"There is a frightening graph in a recent article in Health Affairs by David Kindig and Erika Cheng. Kindig and Cheng looked at trends in male and female mortality rates from 1992–96 to 2002–06 in 3,140 US counties. What they found was that female mortality rates increased in 42.8% of counties (male mortality rates increased in only 3.4%). The counties are mapped below: red means that female mortality worsened. You can see a strong regional pattern: just about every county showed had worsened female mortality in several southern states, while no county showed such decline in New England. There are many questions about what explains this pattern. For example, did healthier women migrate out of the south from 1992 to 2006? Nevertheless, the map depicts a shocking pattern of female hardship, primarily in the southeast and midwest."
Click on the map to enlarge the view and note that central New York appears to fall into what Kindig and Cheng refer to as counties with "minimal improvement" in female mortality rates.
"There is a frightening graph in a recent article in Health Affairs by David Kindig and Erika Cheng. Kindig and Cheng looked at trends in male and female mortality rates from 1992–96 to 2002–06 in 3,140 US counties. What they found was that female mortality rates increased in 42.8% of counties (male mortality rates increased in only 3.4%). The counties are mapped below: red means that female mortality worsened. You can see a strong regional pattern: just about every county showed had worsened female mortality in several southern states, while no county showed such decline in New England. There are many questions about what explains this pattern. For example, did healthier women migrate out of the south from 1992 to 2006? Nevertheless, the map depicts a shocking pattern of female hardship, primarily in the southeast and midwest."
Click on the map to enlarge the view and note that central New York appears to fall into what Kindig and Cheng refer to as counties with "minimal improvement" in female mortality rates.
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| Click to Enlarge |
Labels:
deaths,
females,
morality rates,
women
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