redistricting community engagement workshop · 2018-01-31 · final plan • develop enrollment...
TRANSCRIPT
WelcomeRedistricting Community
Engagement Workshop #3
Redistricting Community Engagement Workshop
Dr. Nettie Collins-HartSuperintendent of Schools
February 5, 2018
Purpose• Last redistricting more than ten years ago
• Shifts in enrollment patterns
• More capacity than needed – (i.e. repurposing EMS)
• Schools imbalanced
Timeline2017-18: Study Year, Review of Demographics
2018-19: Update Demographics, make decisions on options
2019-20: Implement Redistricting Plan
The Website
Mrs. Kimberly McKenzieDirector of
Communications and Marketing
Hazelwood School District:https://www.hazelwoodschools.org/
The Process
Mr. Chris NormanChief Financial Officer
Process• Host Four (4) Community Engagement Workshops • Develop Options for Drawing Attendance Zones • Host 2nd Round of Community Engagement Workshops
to Evaluate Options• Consider Staffing • Make Report to the Board of Education
DEMOGRAPHIC SERVICESFOR
REDISTRICTINGA COLLABORATIVE APPROACH
PUBLIC ENGAGEMENT MEETING
PROJECT TEAM Charles Kofron, Ph.D. LLC Gloria Davis District Leadership Solutions UNICOM•ARC
OVERVIEWData Collection and Processing
• Base Geographic Data Planning area parameters
• Student Data• Birth Data
• Fact Finding• Public Engagement Parameters for facilities and staffing
• Develop enrollment projections based on current attendance area geography• Staffing and facility analysis
OVERVIEWOption Development
• Planning Areas Student and birth counts
• Staffing and Facility Analyses
• Interactive Map Charrette
Final Plan• Develop Enrollment Projections Using final redistricting map
• Advance Better Option
DATA COLLECTION AND PROCESSINGBase Mapping Data
• Acquire and Process Base Reference Data LayersData Source: St. Louis CountyData Layers
o School District Boundarieso Street CenterlinesoParcelsoAddress Points
• Additional Reference DataEDULOG Attendance AreasTR,i Architects St. Louis
BASE MAPPING LAYERS
DATA COLLECTION AND PROCESSINGData Processing Objectives
• Develop Planning Area Geography
Logical groupings of parcels within attendance areas
• Develop Student and Birth Counts by Planning Area
Review and assign in-District unmatched records to planning areas
• Develop Enrollment Projection Model Using Planning Area Counts
DATA COLLECTION AND PROCESSINGSpatial Planning Parameters for Defining Planning Areas
• Limit number of planning areas to manageable number• Identify planning areas to contain concentrations of studentsNeighborhoodsSubdivisionsApartment complexes
• Use parcel and street centerlines as boundaries• Keep planning areas contiguous• Define planning areas within existing attendance areas• Where possible, define planning areas within intersections of major
arterial roads, highways, creeks, and fenced-in structures (i.e., planning area boundaries do not cross these types of roads, hydrographic features, and other cultural features)
DATA COLLECTION AND PROCESSINGPlace Student Addresses on Base Map
• Geocode 10 Years of Student AddressesExtracted from fall (September 30) 2016 student addresses
oHelp define planning area geography
DATA COLLECTION AND PROCESSINGPlanning Area Summary
300 Planning Areas
16,985 Student Records from 2016
• 276 planning areas with 2016 students
• 24 planning areas without 2016 students
• 2016 student counts range from 1 to 205
• Average 2016 student count is 62
DATA COLLECTION AND PROCESSING20 Elementary Attendance Areas
9 areas without middle school area splits(Elementary Area, Number of Planning Areas, Middle School Area)
• Amstrong (16 West)
• Brown (17 North)
• Garrett (13 West)
• Jury (17 Central)
• Larimore (18 Southeast)
• Lusher (20 Northwest)
• McCurdy (14 Northwest)
• Townsend (10 Central)
• Walker (7 Northwest)
DATA COLLECTION AND PROCESSING11 areas with middle school area splits
(Elementary Area, Number of Planning Areas, Middle School Area)
• Arrowpoint (3 East, 19 Southeast)• Barrington (6 Central, 15 North)• Cold Water (11 North, 1 Northwest)• Grannemann (11 East, 2 Southeast)• Jamestown (15 Central, 1 East)• Jana (13 North, 1 Northwest)
• Keeven (1 Central, 11 East)• Lawson (6 Northwest, 8 West)• McNair (7 Northwest, 5 West)• Russell (1 Northwest, 20 West)• Twillman (7 East, 4 Southeast)
DATA COLLECTION AND PROCESSINGImportance and Uses of Planning Areas
•Develop Enrollment Projections
•Used in Interactive Map Charrettes
•Used in Option Development
Any Questions?
FACT FINDINGStudent Record Geocoding
• Last 10 School YearsAssign student addresses to
planning areasReview unmatched student
records and assign in-District records to planning areasDevelop final counts of
students by planning areas and by school year
FACT FINDINGGeocoded Student Record Summary
• Total Records – 165,718
• In District Records – 154,224
• Records Requiring Review – 11,222
FACT FINDINGGeocoding Live Birth Records
• Used to project Kindergarten enrollments
Last 10 Years (2005-2016)• Obtain live birth (mother’s address) data from Missouri Department of
Health and Senior Services (MoDHSS)• Assign Kindergarten cohort years based on birth month and year• Assign birth addresses to planning areas• Review unmatched birth records and assign in-District records to
planning areas• Develop final counts of births by planning areas and by Kindergarten
cohort year
Geocoded Birth Record Summary• Total Records – 29,896
• In District Records – 14,404
• Records Requiring Review – 15,492
FACT FINDING
Data Review and Purpose• To Account for, Locate, and Count All in-District Student and Birth
Record Addresses Within Planning Areas
Base Map Data Reports for Data Review• Planning Area Maps by Elementary Attendance Area• Address Points (individual addresses) by Planning Area and
Elementary Area• Street Centerlines by Planning Area and Elementary Area
After Record Review…
FACT FINDING
Enrollment Projection Model Development• Arrange/Code Planning Areas to Unique Elementary/Middle School
Areas• Sum Planning Area Counts for Unique Elementary/Middle School
Areas Birth counts Student counts
• Develop First Round of Enrollment Projections for Unique Elementary Attendance Areas
FACT FINDING
Counts and Enrollment Projections by Class Cohorts
FACT FINDING
Cohort Survival Ratios• Calculated for Each Unique Attendance Area• Applied to Last Grade Counts to Generate Projections
Grades High Mid Low SnapshotB-K 1.226351 1.185318 1.07876 1.186916K-1 1.129547 1.099966 1.065816 1.0418251-2 1.037421 1.028509 1.018638 1.0396982-3 1.034723 1.022169 1.01714 1.02873-4 1.023394 1.015418 1.009013 1.0348534-5 1.026129 1.017375 1.005966 1.0281945-6 1.029701 1.020744 1.016286 1.0425886-7 1.015955 1.014877 1.013402 1.0169877-8 1.013456 1.010378 1.003645 1.0185198-9 1.026614 1.024201 1.019246 1.0275919-10 1.014818 1.0087 1.00433 1.01034710-11 0.999642 0.99171 0.98698 1.00816311-12 0.995141 0.991661 0.98667 0.987491
FACT FINDING
• 4 Series of Projections (High, Mid, Low, Snapshot)• Based on Births, Student Residence Counts, Current Attendance Area Geography, and Cohort Survival Ratios
FACT FINDING
Staffing and Facility Planning Parameters• Enrollment Projections• Staffing Goals• Facility Analysis
FACT FINDING
Any Questions?
OPTION DEVELOPMENTInteractive Map Charrette
Guided ByStaffing and Facility Planning Parameters
Redrawing Attendance Areas Using Planning Area Geography• Based on Student Resident Counts and Births
OPTION DEVELOPMENT
Current Enrollment Impacts of Planning Area Geography Changes
OPTION DEVELOPMENT
Develop 3 Map Scenarios
• Input of Planning Group
• Identify Better Option
• 2nd Round of Public Engagement
Using Better Option…
• Recode Planning Areas
• Develop Enrollment Projections Based on Revised Planning Area Geography
OPTION DEVELOPMENT
FINAL PLANFinal Report
• Planning Parameters• Map Scenarios• Staffing Analysis• Facility Analysis• Enrollment Projections• Recommended Plan
Board Presentation
SUMMARYData Collection and Processing
• Obtain and Process Base Map Data • Obtain, Geocode, and Count Student Records• Obtain, Geocode, and Count Birth Records
Fact Finding• Develop Planning Areas Using Spatial Planning Parameters• Develop Enrollment Projections Using Planning Area Geography
SUMMARYOption Development
• Staffing Analysis• Facility Analysis• Map Charrette• Alternate Series of Enrollment Projections Using Revised
Attendance Area Geography from Map CharretteFinal Plan Recommendation
• Final Enrollment Projections• Staffing Analysis Results• Facility Analysis Results• Better Plan Recommendation
Working Group Activity
Thank you for attending…
Good Night Everyone!