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Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Statistics and Probability

2012

Northern Ohio Data and Information Service (NODIS)

Articles 1 - 3 of 3

Full-Text Articles in Social and Behavioral Sciences

Analysis Of Median Household Income Differences Between Election Day-Vbm And Eip Voters, Mark Salling, Norman Robbins Aug 2012

Analysis Of Median Household Income Differences Between Election Day-Vbm And Eip Voters, Mark Salling, Norman Robbins

All Maxine Goodman Levin School of Urban Affairs Publications

Analysis of early in-person (EIP) voting in 2008 in Cuyahoga County shows that African-American, white, and Hispanic voters who used EIP voting had significantly lower incomes than members of those same groups who voted on election day or by mail. This result applies to those voting EIP on weekdays, extended weekday hours, weekends, and the three days before election day.


Racial And Ethnic Proportions Of Early In-Person Voters In Cuyahoga County, General Election 2008, And Implications For 2012, Norman Robbins, Mark Salling Jan 2012

Racial And Ethnic Proportions Of Early In-Person Voters In Cuyahoga County, General Election 2008, And Implications For 2012, Norman Robbins, Mark Salling

All Maxine Goodman Levin School of Urban Affairs Publications

No abstract provided.


Demographic And Socioeconomic Conditions And A Patron Borrowing Analysis Of Cleveland Public Library Branch And Main Libraries, Mark Salling Jan 2012

Demographic And Socioeconomic Conditions And A Patron Borrowing Analysis Of Cleveland Public Library Branch And Main Libraries, Mark Salling

All Maxine Goodman Levin School of Urban Affairs Publications

We provide here an analysis of the demographic and socioeconomic characteristics of the Cleveland Public Library’s (CPL) service area and that of the neighborhoods in which the library’s patrons live. We also describe the borrowing patterns for the branch and downtown, Main Library, locations. The census-based demographic and socioeconomic data used for the analysis include income, number of children, race, Hispanic ethnicity, language spoken at home, ability to speak English, public-versus-private school attendance by grade level, housing tenure (owner/renter), educational attainment, employment status, and place of employment (Cleveland versus other). Data from the 2010 census and the Census Bureau’s 2005-2009 …