Our Mission
StreetSignal exists to make Cape Town's scattered public data accessible at suburb level. Government datasets on crime, schools, healthcare, transport, and demographics are published across multiple portals in formats most people cannot use—shapefiles, 55,000-row spreadsheets, 400-page PDFs. We process these into structured, searchable suburb profiles so residents, newcomers, and researchers can find the data without needing specialist tools.
What We Provide
- Police Station Crime Statistics: SAPS quarterly crime figures for the station serving each suburb (14 categories)
- Census 2022: Population, median age, and household size from Statistics South Africa
- Census 2011: Historical socioeconomic indicators including income (15+ years old)
- Schools: Primary, secondary, and combined schools with phase, sector, and quintile information
- Healthcare: Public clinics, public hospitals, and private hospitals within suburb boundaries
- Parks & Green Space: Park counts, play equipment, and total green space area
- Fire Station Proximity: Nearest fire station with distance and class
- Minibus Taxi Routes: Taxi connections and route counts
- Transport: MyCiTi, Metrorail, Golden Arrow, and minibus taxi indicators
- Load Shedding: Block assignments for all load shedding stages
- Dam Levels: City-wide water storage metrics
- Air Quality: City-wide monitoring station data
- Household Survey 2024: Service delivery and quality of life indicators
- Urban Support Focus Areas: CoCT designated investment priority zones
- Libraries: Public library locations
How This Was Built
StreetSignal is a static site built with Astro, processing raw government data files (PDF, Excel, GeoJSON, Shapefile) using Python scripts. The site generates 752 pages from a single source of truth.
AI tools were used throughout development: Claude for strategy, data processing, and prompt engineering; GitHub Copilot for code implementation. AI governance constraints were embedded in the development process—not as an afterthought audit but as rules applied to every processing decision.
This includes deliberate choices about what the site does not do: it does not rank suburbs, interpolate crime estimates, create composite safety scores, or present derived statistics as facts. See the Methodology page for full detail on data processing.
About the Developer
StreetSignal was built by Kuziva Muzondo, a Zimbabwean South African programme manager and technologist based in London. With a career spanning 13 years across commercial operations, marketplace scaling, and digital product delivery—combined with certifications in AI governance (Oxford Saïd Business School), generative AI (Google), and programme management (Microsoft)—StreetSignal represents applied AI governance in practice: a working product where ethical constraints shaped development decisions.
Data Sources
All data comes from published government sources:
- South African Police Service (SAPS) — Crime statistics and station boundaries
- Statistics South Africa — Census 2022, Census 2011
- City of Cape Town Open Data Portal — Suburb boundaries, parks, fire stations, transport routes, load shedding, urban support focus areas, libraries
- Department of Basic Education via DataFirst — School masterlist (CC-BY licence)
- Western Cape Government — Healthcare facilities
- AQICN / South African Air Quality Information System — Air quality monitoring
- Department of Water and Sanitation — Dam levels
Legal & Attribution
All data is sourced from published government datasets under their respective open data terms. SAPS boundary data was used for internal spatial processing only and is not redistributed, per requirements under the Spatial Data Infrastructure Act. Department of Basic Education school data is used under the CC-BY licence with attribution to DataFirst.
StreetSignal's analysis and presentation is its own. For official statistics, consult source documents directly.
Contact
For questions, corrections, or data requests: hello@streetsignal.co.za