Simulations of collision times in gravity driven granular flow

We use simulations to investigate collision time distributions as one approaches the static limit of steady-state flow of dry granular matter. The collision times fall in a power-law distribution with an exponent dictated by whether the grains are ordered or disordered. Remarkably, the exponents have almost no dependence on dimension. We are also able to resolve a disagreement between simulation and experiments on the exponent of the collision time power-law distribution.Comment: 7 pages, 5 figure

Census 2000 Mail Response Rate: Nebraska Counties

Maps of Nebraska Counties\u27 response rate via mail to the Census 200

Analysis of Urban and Rural Data for Various Nebraska Geographies: 2000

Value-added analysis of urban/rural for various Nebraska geographies: 200

Why the 2020 Census is Important to Nebraska

Did you know that the distribution of political representation and taxpayer’s dollars is based upon how many residents the Census counts

Rankings of Poverty Data by Race and Ethnicity for the 100 Most Populated Metro Areas at the Time of the Data Release: 2000 Census, 2006‐10 American Community Survey, and 2009‐13 American Community Survey

The long form of the 2000 Census collected income information from which poverty data are calculated. The long form was sent to a sample of households, with about 1 in 6 households across the United States receiving the long form. The 2000 Census had full (100%) nonresponse follow‐up with those households that did not return the long form questionnaire

Nebraska and Lancaster County\u27s Demographic Trends

Presented to the Kiwanis Club of Lincoln

UNO Center For Public Affairs Research Data Brief: March 24, 2016, 2016-001

Notes from the U.S. Census Bureau\u27s March 24, 2016, release of County and Metro Area Population Estimates as of July 1, 2015: The following are key aspects of these new population estimates, summarized in bullet-style form. Figures the Nebraska locations are the focus of this summary; they are listed in no particular order. Associated excel tables contain the data. Figure 1 show the percentage change in population from 2010 to 2015 for Nebraska counties

Analysis of Median Incomes as Adjusted for the Costs of Goods and Services in the 100 Most Populous Metro Areas

In 2007 the Center for Public Affairs Research (CPAR) released an analysis of 2006 American Community Survey (ACS) income data from the U. S. Census Bureau. These data were adjusted for the costs of goods as services (COGS) using indices released by the Council for Community and Economic Research. At that time the Omaha metro area ranked 2nd best among the 100 most populous metros for which data were available regarding this “purchasing power”. The Omaha metro’s median income in 2006 dollars was $51,627, but when accounting for Omaha’s relatively low cost of goods and services, this income had a purchasing power of$58,303. This trailed only the Raleigh, North Carolina metro area in terms of income adjusted for the costs of goods and services and bested other notable metros such as Kansas City (ranked 7th), the Washington, DC metro (9th), Dallas-Fort Worth (12tz) , Denver (13th), and Chicago (25th). Joining Raleigh and Omaha in the top 5 metros on this measure were Des Moines, Atlanta, and Colorado Springs

State Rankings for the Percentage Change in Various Age Groups: 2000 to 2010

State Rankings for the Percentage Change in Various Age Groups (2000-2010