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 2 nd Round of Community Engagement Workshops to Evaluate Options • Consider Staffing • Make Report to the Board of Education

D EMOGRAPHIC S ERVICES FOR R EDISTRICTING A C OLLABORATIVE A PPROACH P UBLIC E NGAGEMENT M EETING

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 o School District Boundaries o Street Centerlines o Parcels o 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 o 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) • Lusher (20 Northwest) • Amstrong (16 West) • McCurdy (14 Northwest) • Brown (17 North) • Townsend (10 Central) • Garrett (13 West) • Walker (7 Northwest) • Jury (17 Central) • Larimore (18 Southeast)

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) Keeven (1 Central, 11 East) • • Barrington (6 Central, 15 North) Lawson (6 Northwest, 8 West) • • Cold Water (11 North, 1 Northwest) McNair (7 Northwest, 5 West) • • Grannemann (11 East, 2 Southeast) Russell (1 Northwest, 20 West) • • Jamestown (15 Central, 1 East) Twillman (7 East, 4 Southeast) • • Jana (13 North, 1 Northwest)

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

FACT FINDING 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

Any Questions?

OPTION DEVELOPMENT Interactive Map Charrette Guided By Staffing and Facility Planning Parameters

OPTION DEVELOPMENT 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 • 2 nd Round of Public Engagement Using Better Option… • Recode Planning Areas • Develop Enrollment Projections Based on Revised Planning Area Geography

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!