Redistricting Community Engagement Workshop · 2018-01-31 · Final Plan • Develop Enrollment...

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!