SB9Analysis

SB9Analysis is a point-in-time analysis repository for Texas teacher-pay proposals associated with SB 9 (88-R), related retention-allotment scenarios, and district-level teacher-experience mapping.

The repository combines notebooks, scripts, spreadsheets, and static outputs to make legislative compensation proposals easier to inspect outside the Capitol narrative.

What the Repository Covers

The analysis focuses on questions such as:

• how proposed raises or allotments distribute across districts
• what those proposals imply for total cost and district-level effects
• how district experience profiles vary across Texas
• how downloadable HB 3 raise-report artifacts can be collected and reviewed

Key Inputs

Important source files in the repository include:

• Directory.xlsx District directory and enrollment context
• Staff Salary FTE Report_Statewide_Districts_2022-2023.csv Statewide district staffing / FTE data
• DSTAF.csv TAPR district staff dataset used for experience analysis
• 2021-2022 TAPR DStaff Legend.xlsx Column dictionary for the TAPR staffing export

Key Analysis Artifacts

• SB 9 retention allotment analysis_05.09.23.xlsx
• SB 9 retention allotment analysis_05.11.23.xlsx
• SB 9 Analysis_raise proposals.xlsx
• SB 9 Analysis_raise proposals_v1.xlsx
• TX School Districts_% Total Teachers, 6+ Yrs Experience.html

These outputs capture different slices of the legislative and staffing analysis and should be read as project artifacts rather than a formal software package.

Scripts

main.py

Builds a district-level retention-allotment analysis by:

• loading district directory data
• matching total teaching staff from statewide staffing exports
• calculating retention-allotment cost scenarios
• exporting the resulting workbook

gen_teacher_experience_map.py

Builds a district-level teacher-experience map by:

• joining district boundary geometry to district staffing data
• calculating the share of teachers with six or more years of experience
• exporting a GeoJSON artifact and static HTML map

The district-geometry input is configurable through:

SB9_DISTRICTS_GEOJSON=/path/to/Current_Districts_2023.geojson

download_hb3_raise_reports.py

Downloads HB 3 raise-report files referenced in xlsx_links.txt for bulk review.

Quick Start

1. Create an environment

python3 -m venv .venv
.venv/bin/pip install pandas openpyxl geopandas folium branca

2. Run the retention-allotment analysis

.venv/bin/python main.py

3. Generate the teacher-experience map

SB9_DISTRICTS_GEOJSON=/path/to/Current_Districts_2023.geojson \
.venv/bin/python gen_teacher_experience_map.py

4. Download additional raise reports

.venv/bin/python download_hb3_raise_reports.py

Repository Character

This repo is intentionally analysis-heavy rather than package-like. It preserves source spreadsheets, notebooks, scripts, and published artifacts together so that the logic, assumptions, and outputs stay inspectable in one place.

Notes

• The analysis is tied to a specific legislative period and historical data snapshot.
• Some outputs are static artifacts retained for reference rather than regenerated on every run.
• Geographic map generation depends on an external district boundary GeoJSON file, which is why the path is configurable instead of hardcoded.

License

The source code and original documentation in this repository are released under the MIT License. See LICENSE.

Underlying public datasets, legislative materials, and published workbook artifacts may carry their own source or usage terms.

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