A DECADÊNCIA DO GUARUJÁ: O que deu errado na "Pérola"?

The Dream of Living in Guarujá? Guarujá was once the most coveted destination on the São Paulo coast, known worldwide as the "Pearl of the Atlantic." But what happened to the city? In this video, we conduct an in-depth analysis of Guarujá's urban and economic decline and why the city failed to keep pace with the development of São Paulo and other cities on the southern and northern coast. Understand the historical planning errors, the public safety crisis, and how the lack of investment in infrastructure transformed once-luxurious neighborhoods into scenes of abandonment. Why did the elites abandon Guarujá? Explore with us the socioeconomic factors that explain the decline of one of the greatest symbols of Brazilian tourism and what the future holds for the region. An essential investigation for those who enjoy urbanism, the history of São Paulo, and Brazilian geography. 🔔 Subscribe to the channel for more complete analyses of Brazilian cities! 🧭 Check out the playlist with other cities to live in:    • Analisando Cidades do Brasil   BOOK: HOW TO LIE WITH STATISTICS FIFINE K688 MICROPHONE, USED IN THE VIDEO 📚 Methodology and Data Sources (Technical Documentation) 👇 HOW DID WE EVALUATE HEALTH IN THIS VIDEO? Our analysis goes beyond the basic count of "health center buildings". We cross-referenced official infrastructure data, actual care, and clinical outcomes to generate 3 pillars of evaluation: 1. COVERAGE (Access) We didn't just count walls, but rather the Installed Capacity for Care. The Rule: We followed the Technical Note from SAPS/MS. We cross-referenced the number of Health Teams (eSF and eAP) available in the CNES with the estimated population. The Difference: We compared the Theoretical Supply (how many people the contracted doctors can attend to) with the Real Access (how many people have an active/linked registration in the system). 2. QUALITY (Performance) The Benchmark: We used the official Traffic Light Signaling of the Ministry of Health (Previne/e-Gestor). The Criteria: We evaluated 7 crucial indicators (Prenatal care, Vaccination, Hypertension, Diabetes, etc.). The scores (0 to 10) strictly respect the government's target ranges: 🔵 Blue (Excellent) | 🟢 Green (Good) | 🟠 Orange (Regular) | 🔴 Red (Critical). 3. EFFICIENCY (Avoidable Hospitalizations - ICSAP) Legal Basis: We follow Ordinance GM/MS No. 221/2008. What it measures: We monitor hospitalizations for diseases that should have been resolved at the health center (e.g., Diarrhea, Infections, Uncontrolled Diabetes). A high rate here suggests a failure in Primary Care. 📌 DATA SOURCES AND DATES 🏥 HEALTH (Primary and Hospital Care) Sources: CNES (Infrastructure), SISAB (Indicators), and SIH/SUS (Hospitalizations). Processing: Database (BigQuery) and e-Gestor AB Panels. 📅 Reference Dates: Coverage: April/2025. Quality (Grades): 1st Quarter of 2025. Hospitalizations (ICSAP): Consolidated Year 2024. 📥 Data Extraction Date: 06/12/2025. 👥 POPULATION Source: IBGE (Brazilian Institute of Geography and Statistics). Data: Resident Population Estimates. 📅 Reference: July/2025. 👮 SECURITY Sources: IPEA and Brazilian Forum on Public Security. Report: Atlas of Violence 2026 (Data ref. 2024). 💰 ECONOMY AND FINANCE Public Finances: National Treasury Secretariat (STN) - FINBRA via IPEA Data. SOURCE: IPEA DATA · STN/FINBRA 📅 EXTRACTION: March 2026 Employment/Companies: SOURCE: RAIS 2026 · Ministry of Labor DATABASE - MARCH/26 VEHICLE FLEET: 📌 Source: SENATRAN and IBGE. Vehicle fleet data referring to December 2010, 2022, 2024 and 2025. The indicators per inhabitant were calculated by Explora Brasil based on the corresponding population of each year. Extraction: July/2026 🎓 EDUCATION Source: INEP (Ministry of Education). Indicator: IDEB (Basic Education Development Index). 📅 Base Year: 2023. ⚠️ DISCLAIMER: 1. Data Dynamics: The coverage indicator measures installed capacity (teams existing in the official system). Due to staff turnover, there may be teams temporarily without a doctor at the time of the consultation, a figure that fluctuates daily. 2. Time Lag: The data presented are the most recent publicly available from official bodies (Federal Government/IBGE) up to the extraction date mentioned above.