Welcome Redistricting Community Engagement Workshop #3 - - PowerPoint PPT Presentation

Welcome Redistricting Community Engagement Workshop #3

Redistricting Community Engagement Workshop

• Dr. Nettie Collins-Hart

Superintendent 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

Timeline

2017-18: Study Year, Review of Demographics 2018-19: Update Demographics, make decisions on options 2019-20: Implement Redistricting Plan

The Website

• Mrs. Kimberly McKenzie

Director of Communications and Marketing

Hazelwood School District:

https://www.hazelwoodschools.org/

The Process

• Mr. Chris Norman

Chief 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 SERVICES

FOR

REDISTRICTING A COLLABORATIVE APPROACH

PUBLIC ENGAGEMENT MEETING

PROJECT TEAM

• Charles Kofron, Ph.D. LLC
• Gloria Davis
• District Leadership Solutions
• UNICOM•ARC

OVERVIEW

Data 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

OVERVIEW

Option 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 PROCESSING

Base Mapping Data

• Acquire and Process Base Reference Data Layers
• Data Source: St. Louis County
• Data Layers
• School District Boundaries
• Street Centerlines
• Parcels
• Address Points
• Additional Reference Data
• EDULOG Attendance Areas
• TR,i Architects St. Louis

BASE MAPPING LAYERS

DATA COLLECTION AND PROCESSING

Data 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 PROCESSING

Spatial Planning Parameters for Defining Planning Areas

• Limit number of planning areas to manageable number
• Identify planning areas to contain concentrations of students
• Neighborhoods
• Subdivisions
• Apartment 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 PROCESSING

Place Student Addresses on Base Map

• Geocode 10 Years of Student Addresses
• Extracted from fall (September 30)
• 2016 student addresses
• Help define planning area geography

DATA COLLECTION AND PROCESSING

Planning 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 PROCESSING

20 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 PROCESSING

11 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 PROCESSING

Importance and Uses of Planning Areas

• Develop Enrollment Projections
• Used in Interactive Map Charrettes
• Used in Option Development

Any Questions?

FACT FINDING

Student Record Geocoding

• Last 10 School Years
• Assign student addresses to

planning areas

• Review unmatched student

records and assign in-District records to planning areas

• Develop final counts of

students by planning areas and by school year

FACT FINDING

Geocoded Student Record Summary

• Total Records – 165,718
• In District Records – 154,224
• Records Requiring Review – 11,222

FACT FINDING

Geocoding 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 Snapshot B-K 1.226351 1.185318 1.07876 1.186916 K-1 1.129547 1.099966 1.065816 1.041825 1-2 1.037421 1.028509 1.018638 1.039698 2-3 1.034723 1.022169 1.01714 1.0287 3-4 1.023394 1.015418 1.009013 1.034853 4-5 1.026129 1.017375 1.005966 1.028194 5-6 1.029701 1.020744 1.016286 1.042588 6-7 1.015955 1.014877 1.013402 1.016987 7-8 1.013456 1.010378 1.003645 1.018519 8-9 1.026614 1.024201 1.019246 1.027591 9-10 1.014818 1.0087 1.00433 1.010347 10-11 0.999642 0.99171 0.98698 1.008163 11-12 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 DEVELOPMENT

Interactive Map Charrette Guided By Staffing 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 PLAN

Final Report

• Planning Parameters
• Map Scenarios
• Staffing Analysis
• Facility Analysis
• Enrollment Projections
• Recommended Plan

Board Presentation

SUMMARY

Data 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

SUMMARY

Option Development

• Staffing Analysis
• Facility Analysis
• Map Charrette
• Alternate Series of Enrollment Projections Using Revised

Attendance Area Geography from Map Charrette

Final Plan Recommendation

• Final Enrollment Projections
• Staffing Analysis Results
• Facility Analysis Results
• Better Plan Recommendation

Working Group Activity

Thank you for attending… Good Night Everyone!