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Rural schools data and resource project Main Goal: To provide rural districts in NYS an integrated resource for informed decision-making. Today’s presentation will include:. What already exists: Brief overview of 3 broad data resources for communities and school districts:
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Rural schools data and resource projectMain Goal:Toprovide rural districts in NYS an integrated resource for informed decision-making
Today’s presentation will include: • What already exists: • Brief overview of 3 broad data resources for communities and school districts: • PAD (Cornell Program on Applied Demographics) • American Factfinder (US Census data) • NCES (Census, Financial, and Administrative data) • What we hope to develop: • An integrated data base which includes enrollment trends, projections, community and regional demographics, financial and administrative data • Feedback from you • What would be most helpful? • What data do you need? • What is the best way for us to provide access, display, and help in interpreting data?
PAD Data - Profiles Options: Population and housing Population - components of change Housing Units - Components of Change Labor Statistics Options: Demographic Social Economic Housing
VIEW • http://www.cardi.cornell.edu • Census – American Factfinder • http://www.census.gov • NCES • http://nces.ed.gov/surveys/sdds/
NCES – enrollment, financial & administrative data for school districts
Next step: • Development of an integrated data resource for the Center for Rural Schools.
Age-specific net migration rates: What do they tell us? • How is the population changing (net of births and deaths)? • How does this vary among the different age groups? • How does this vary for different states and counties?
Sullivan County - projections 1990 2000 2035
Fallsburg School District • Case study illustrating what information is available that may be useful to you.
Enrollment PROJECTIONS:the next step • General Methods and Data: • Grade-progression ratios (cohort survival) • Enrollment data by grade by year, 10 year history • Birth data • Housing unit method • Number of housing units • Students per housing unit • Planned development added to housing inventory annually
Grade-progression ratios:measures the net effect of in- and out-migration, transfers to and from private schools, students repeating grades, drop-outs, etc. *Unique for each district, grade, and year*
Wrap up • We would like your feedback on what you have seen so far. • What would be most helpful to you? • What kind of data do you need to make informed decisions? • How would you like to access the data? How would you like it to be displayed? What sort of support from Cornell do you think you would need to interpret and use this data?
Thank You • Thank you for your help and support in this endeavor. • If you have further suggestions or questions, here is our contact information:
Program on Applied Demographics Group Joe D. Francis Director of Program on Applied Demographics 2nd Floor Beebe Hall Cornell University Ithaca, NY 14853 (607) 255-6042 jdf2@cornell.edu Jan Vink Research Support Specialist Program on Applied Demographics 2nd Floor Beebe Hall Cornell University Ithaca, NY 14853 (607) 255-8399 jkv3@cornell .edu
CaRDI Group Robin Blakely Extension Associate Community & Rural Development Institute Cornell University Ithaca, NY 14853 (607) 254-6795 rmb18@cornell.edu David Kay Extension Associate Community & Rural Development Institute Cornell University Ithaca, NY 14853 (607) 255-2123 dlk2@cornell.edu