Analyzing and Mapping Census and Student Data 2006 PNAIRP Conference Welches, OR

Acknowledgements The State Board for Community Colleges wishes to thank the Ford Foundation’s Bridges to Opportunity Program and the Washington State College Spark Foundation for their support for this project.

Presenters David Prince, State Board for Community & Technical Colleges Beth Hartsoch, Research & Information Analyst, Skagit Valley College Maureen Pettitt, Director Institutional Research, Skagit Valley College

Workshop Topics Project Background Data Structure Applications Statewide College – SVC Example Sample Questions Next Steps What will colleges get? How can you use the data? Q & A

Project Background

A Census Based Proxy for Student Socioeconomic Status and Income Based on census data for income, education (BA or higher) and occupation (professional/managerial) Student address matched to census Student assigned median household income and SES for area mapped

Washington State Socioeconomic Status Quintiles 1990 and 2000 Washington State SES 1990 Household Income ($1999) Adults with BA degree or higher Persons employed professional % Total State Population Highest $61,61545%44%20% Higher $46,58126%31%23% Middle $39,86518%24%22% Lower $34,08812%18%19% Lowest $24,4447%12%17% Washington State SES 2000 Household Income ($1999) Adults with BA degree or higher Persons employed professional % Total State Population Highest $74,70754%55%19% Higher $55,62534%40%20% Middle $47,43723%33%20% Lower $39,92516%26%21% Lowest $29,51510%18%20%

Race still matters

State population- more than ever before our future adults are being born and raised in low SES households.

Participation rates measure how close the resemblance is between state population and CTC students Part Rate = % of students ÷ % state population Part Rate less than 1 = less than population Part Rate 1 = Parity Part Rate greater than 1 = more than population

Participation for Younger and Older Students by SES Quintiles LowestLowerMiddleHigherHighest CTC Students (18-24 Yrs) CTC Students (25 +)

Students socioeconomic differences become even more magnified by colleges, raising the question, “ How best can system support colleges so varied in student body and community make-up? ”

Additional information For the full research report: Socioeconomic Well- Being of Washington State: Who Attends Community and Technical Colleges (Sept 2006) link to:

Data Structure Relational Database (MS Access) SBCTC Data Warehouse & Census Data tables Spatial Data GIS

GIS – Quick Intro GIS = Geographic Information System Useful for: Visualizing distribution Spatial analysis Types of Data: 1. Point home addresses) 2. Line (roads, rivers) 3. Polygon (block groups, lakes, cities) 4. Raster (hillshade, aerial photo)

GIS – Quick Intro GIS = Geographic Information System Useful for: Visualizing distribution Spatial analysis Types of Data: 1. Point home addresses) 2. Line (roads, rivers) 3. Polygon (block groups, lakes, cities) 4. Raster (hillshade, aerial photo)

GIS – Quick Intro GIS = Geographic Information System Useful for: Visualizing distribution Spatial analysis Types of Data: 1. Point home addresses) 2. Line (roads, rivers) 3. Polygon (block groups, lakes, cities) 4. Raster (hillshade, aerial photo)

GIS – Quick Intro GIS = Geographic Information System Useful for: Visualizing distribution Spatial analysis Types of Data: 1. Point home addresses) 2. Line (roads, rivers) 3. Polygon (block groups, lakes, cities) 4. Raster (hillshade, aerial photo)

GIS – Quick Intro GIS = Geographic Information System Useful for: Visualizing distribution Spatial analysis Types of Data: 1. Point home addresses) 2. Line (roads, rivers) 3. Polygon (block groups, lakes, cities) 4. Raster (hillshade, aerial photo)

Spatial Data – Raster

Database – Example Contents DW – Student Data Family Status Fund Source Ed background Ethnic Program Intent Census – Population Data Demographic Ed background Ethnic SES Med HH Income / Ethnic Employment

Database – Placing Students in Block Groups GIS BG# DW Address: 234 Main St, Bellingham Student on Map BG # on Student Record

Database – Adding Student Data to Block Groups BG# Student data is aggregated for each block group and can be joined to the block group data by block group number BG# Students: 218 % Hispanic Students: 5.4% # Transfer Students: 59

Applications

Sample Questions – Demographics of our Population What percent of our students’ household income is below $20,000 for a grant application? How has the SES of our district changed between census dates? What is the median household income of Hispanic students in our district?

Sample Questions – Demographics of our Population 2000 SVC Students whose HHIN was less than $20,000: 4.4%

Sample Questions – Demographics of our Population What percent of our students’ household income is below $20,000 for a grant application? How has the SES of our district changed between census dates? What is the median household income of Hispanic students in our district?

Sample Questions – Demographics of our Population What percent of our students’ household income is below $20,000 for a grant application? How has the SES of our district changed between census dates? What is the median household income of Hispanic students in our district?

Hispanic SVC Students' Household Income N1,414 Mean$31,782 Median$31,500 Std. Deviation$18,196 Quartiles25%$27,012 50%$31,500 75%$37,273 * Based on Median Household Income Census data for the Hispanic population of the block group.

Sample Questions – Serving Our Minority Population Where are minority groups concentrated within our district? Where are these groups underrepresented in the student population? Should we extend our ESL program to a remote location?

Sample Questions – Serving Our Minority Population Where are minority groups concentrated within our district? Where are these groups underrepresented in the student population? Should we extend our ESL program to a remote location?

Sample Questions – Serving Our Minority Population Familiar Problem: Conflicting methods of tracking ethnic vs. race codes. Future data sets should match. Census Data 1990 & 2000 Separate ethnic and race code fields Can choose “Hispanic” as well as a race code SBCTC Data 1993 & 2001 One ethnic code field Choosing “Hispanic” precludes choosing another option

Sample Questions – Serving Our Minority Population Where are minority groups concentrated within our district? Where are these groups underrepresented in the student population? Should we extend our ESL program to a remote location?

Sample Questions – Improving our Marketing Efforts What percent of the population is between 18 and 25 years of age? What is the geographic distribution of the population older than 25 years who have less than an Associate’s Degree? What percent of the population attends a community or technical college?

Sample Questions – Improving our Marketing Efforts What percent of the population is between 18 and 25 years of age? What is the geographic distribution of the population older than 25 years who have less than an Associate’s Degree? What percent of the population attends a community or technical college?

Sample Questions – Improving our Marketing Efforts What percent of the population is between 18 and 25 years of age? What is the geographic distribution of the population older than 25 years who have less than an Associate’s Degree? What percent of the population attends a community or technical college?

What will the colleges get? Access Database Statewide Map Images Maps that can be displayed on Google Earth

How can you use this data? Google Earth Free software (with upgrade options) View data provided by SBCTC GIS Software Data compatible with ESRI GIS – ArcGIS SBCTC ArcGIS license

Google Earth Interactive mapping product of Google License levels Free – view data $20 Upgrade – speed, high res printing, annotation $400 Upgrade – more speed, import spreadsheets, measurement tools View data from this project, provided as *.kml files by SBCTC See handout “Using Google Earth…” for more

Questions What questions do you have about the data? What limitations are there for proxy SES and income data? How do you think your college might use this information?