Improved Employment Data for Transportation Planning, 1998

Transportation planners typically use census data or small sample surveys to help estimate work trips in metropolitan areas. Census data are cheap to use but are only collected every 10 years and may not provide the answers that a planner is seeking. On the other hand, small sample survey data are fresh but can be very expensive to collect. This project involved using database and geographic information systems (GIS) technology to relate several administrative data sources that are not usually employed by transportation planners. These data sources included data collected by state agencies for unemployment insurance purposes and for drivers licensing. Together, these data sources could allow better estimates of the following information for a metropolitan area or planning region: · Locations of employers (work sites); · Locations of employees; · Travel flows between employees’ homes and their work locations. The required new employment database was created for a large, multi-county region in central Iowa. When evaluated against the estimates of a metropolitan planning organization, the new database did allow for a one to four percent improvement in estimates over the traditional approach. While this does not sound highly significant, the approach using improved employment data to synthesize home-based work (HBW) trip tables was particularly beneficial in improving estimated traffic on high-capacity routes. These are precisely the routes that transportation planners are most interested in modeling accurately. Therefore, the concept of using improved employment data for transportation planning was considered valuable and worthy of follow-up research.

LSTA Five Year Plan Evaluation Report 2008-2012, March 29, 2012

The evaluation’s overarching question was “Did the activities undertaken through the state’s LSTA plan achieve results related to priorities identified in the Act?” The evaluation was conducted and is organized according to the six LSTA priorities. The research design employed two major methodologies: 1. Data sources from Iowa Library Services / State Library of Iowa2 as well as U.S and state sources were indentified for quantitative analysis. These sources, which primarily reflect outputs for various projects, included: Statistics from the Public Library Annual Survey Statistics collected internally by Iowa Library Services such as number of libraries subscribing to sponsored databases, number of database searches, attendance at continuing education events, number of interlibrary loan transactions Evaluation surveys from library training sessions, professional development workshops and other programs supported by LSTA funds Internal databases maintained by Iowa Library Services Impact results from post training evaluations conducted by Iowa Library Services 2010 Iowa census data from the U.S. Census Bureau LSTA State Program Reports for the grant period 2. Following the quantitative analysis, the evaluator gathered qualitative data through interviews with key employees, a telephone focus group with district library consultants and two surveys: LSTA Evaluation Survey (Public Libraries) and LSTA Evaluation Survey (Academic Libraries). Both surveys provided sound samples with 43 representatives of Iowa’s 77 academic libraries and 371 representatives of Iowa’s 544 public libraries participating. Respondents represented libraries of all sizes and geographical areas. Both surveys included multiple choice and rating scale items as well as open-ended questions from which results were coded to identify trends, issues and recommendations.

Quarterly Census of Employment and Wages, Final County Data, First Quarter, 2004

First Quarterly County information for Census of Employment & Wage, County

Quarterly Census of Employment and Wages, Final Statewide Data, First Quarter, 2004

First Quarterly County information for Census of Employment & Wage, Statewide

Quarterly Census of Employment and Wages, Preliminary County Data, Second Quarter, 2004

Second Quarterly County information for Census of Employment & Wage, County

Quarterly Census of Employment and Wages, Preliminary Statewide Data, Second Quarter, 2004

Second Quarterly County information for Census of Employment & Wage, Statewide

Employment and Wages Covered by Unemployment Insurance, Final County Data, Third Quarter, 2003

Third Quarterly County information for Census of Employment & Wages - County

Employment and Wages Covered by Unemployment Insurance, Final Statewide Data, Third Quarter, 2003

Third Quarterly County information for Census of Employment & Wage, Statewide

Employment and Wages Covered by Unemployment Insurance, Final County Data, Fourth Quarter, 2003

Fourth Quarterly County information for Census of Employment & Wage, County

Employment and Wages Covered by Unemployment Insurance, Final Statewide Data, Fourth Quarter, 2003

Fourth Quarterly County information for Census of Employment & Wage, Statewide

Females and African-Americans in Iowa Prisons, Data Download, Iowa Department of Corrections, September 2008

incarceration in Iowa prisons, as compared to white males. The rates are particularly alarming for African-Americans, in that while the U.S. Census Bureau estimated that they comprised just 2.5% of the state’s population as of 2006, they constituted over 25% of Iowa’s prison population as of June 30, 2008.

1980 Census of population & housing: Iowa by place. Report 1A, Population characteristics, 1982

As with the 1970 Census, the U.S. Department of labor's Employment and Training Administration (ETA) has compiled a series of special reports for the use of program managers and other social scientists concerned with human resources. These reports. which were designed cooperatively by federal, state and local government research staff, include much unpublished data from the 1980 Census Summary Tape Files. The reports in this series cover not only all of the major government and census designated geographic areas in the United States, but also the unique administrative areas that concern program managers.