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

Analyzing and Mapping Census and Student Data

2006 PNAIRP ConferenceWelches, 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 CollegesBeth Hartsoch, Research & Information Analyst, Skagit Valley CollegeMaureen Pettitt, Director Institutional Research, Skagit Valley College

Workshop Topics

Project BackgroundData StructureApplications

StatewideCollege – 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 $61,615 45% 44% 20%

Higher $46,581 26% 31% 23%

Middle $39,865 18% 24% 22%

Lower $34,088 12% 18% 19%

Lowest $24,444 7% 12% 17%

Washington State SES 2000

Household Income ($1999)

Adults with BA degree or higher

Persons employed professional

% Total State Population

Highest $74,707 54% 55% 19%

Higher $55,625 34% 40% 20%

Middle $47,437 23% 33% 20%

Lower $39,925 16% 26% 21%

Lowest $29,515 10% 18% 20%

Race still matters

S t a t e P o p u l a t i o n - R a c e a n d E t h n i c i t y b y S E S Q u i n t i l e s - 2 0 0 0

L a t / H i s p 4 7 % 2 1 % 1 4 % 1 1 % 7 %

N a A m 3 8 % 2 8 % 1 7 % 1 1 % 6 %

A f r A m 3 3 % 2 0 % 2 1 % 1 6 % 1 0 %

W h 1 7 % 2 1 % 2 1 % 2 1 % 2 0 %

A s / P a c 1 7 % 1 7 % 2 0 % 2 2 % 2 3 %

L o w e s t L o w e r M i d d l e H i g h e r H i g h e s t

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

Population: Children17 Yrs and Younger by SES Quintiles

1990

Highest 18% 19% 19% 20%

Higher 21% 22% 22% 22%

Middle 21% 22% 22% 22%

Lower 20% 19% 20% 19%

Lowest 20% 18% 17% 17%

Under 5 5-9 Yrs10-13 Yrs

14-17 Yrs

Population: Children17 Yrs and Younger by SES Quintiles

2000

Highest 16% 17% 18% 18%

Higher 18% 19% 19% 20%

Middle 19% 20% 21% 21%

Lower 21% 21% 21% 21%

Lowest 26% 23% 21% 20%

Under 5 5-9 Yrs10-13 Yrs

14-17 Yrs

Participation rates measure how close the resemblance is between state population and CTC students

Part Rate = % of students ÷ % state populationPart Rate less than 1 = less than populationPart Rate 1 = Parity Part Rate greater than 1 = more than population

Participation for Younger and Older Students by SES Quintiles - 2000

Lowest Lower Middle Higher Highest

CTC Students (18-24 Yrs)

.8 .85 1.03 1.14 1.35

CTC Students (25 +)

1.21 1.05 .99 .96 .75

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?”

Lowest Lower Middle Higher Highest

Additional information

For the full research report: Socioeconomic Well-Being of Washington State: Who Attends Community and Technical Colleges (Sept 2006) link to:http://www.sbctc.ctc.edu/data/rsrchrpts/resh_06-4.doc

Data Structure

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

Spatial DataGIS

GIS – Quick IntroGIS = Geographic Information SystemUseful for:

Visualizing distributionSpatial analysis

Types of Data:1. Point (students @ home addresses)2. Line (roads, rivers)3. Polygon (block groups, lakes, cities)4. Raster (hillshade, aerial photo)



Types of Data:1. Point (students @ home addresses)2. Line (roads, rivers) 3. Polygon (block groups, lakes, cities)4. Raster (hillshade, aerial photo)



Types of Data:1. Point (students @ 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 DataFamily StatusFund SourceEd backgroundEthnicProgramIntent

Census – Population DataDemographicEd backgroundEthnicSESMed HH Income / EthnicEmployment

Database – Placing Students in Block Groups

GIS

BG# 530730009003

DW Address: 234 Main St, Bellingham 98225

Student on Map

BG # on Student Record

Database – Adding Student Data to Block Groups

BG# 530730009003

BG# 530730009003

BG# 530730009003

Student data is aggregated for each block group and can be joined to the block group data by block group number

BG# 530730009003•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?


2000 SVC Students whose HHIN was less than $20,000: 4.4%


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?


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

N 1,414

Mean $31,782

Median $31,500

Std. Deviation $18,196

Quartiles 25% $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?


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?


Familiar Problem: Conflicting methods of tracking ethnic vs. race codes. Future data sets should match.

Census Data 1990 & 2000Separate ethnic and race code fieldsCan choose “Hispanic” as well as a race code

SBCTC Data 1993 & 2001One ethnic code fieldChoosing “Hispanic” precludes choosing another option


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?


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 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 DatabaseStatewide Map ImagesMaps that can be displayed on Google Earth

How can you use this data?

Google EarthFree software (with upgrade options)

http://earth.google.com

View data provided by SBCTC

GIS SoftwareData compatible with ESRI GIS – ArcGISSBCTC 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 SBCTCSee 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?

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

Documents

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