The following data and statistics on crime, pollution, and overall safety in Jaboatão dos Guararapes are derived from a combination of trusted public sources and insights gathered from user contributions.
This comprehensive approach helps provide a balanced view of the city's crime rates, environmental concerns, air quality, and public safety. By aggregating information from government reports, environmental studies, and direct feedback from residents, we aim offer an up-to-date and thorough analysis of key factors impacting quality of life in Jaboatão dos Guararapes.
For 2024, crime data for Jaboatão dos Guararapes is currently not available, leaving an opportunity for further data collection and analysis.
The absence of updated or reported crime data underscores the need for comprehensive data collection to accurately assess and address safety perceptions and realities in the city.
The crime ranking by city for Brazil is based on a continuously updated index, incorporating data up to 36 months old and calculated twice a year. Cities are ranked on a scale from "very low" to "very high" crime levels, with safety being the inverse, where a high safety index indicates a safer city.
Current data regarding air quality and pollution levels in Jaboatão dos Guararapes lacks detailed reporting, highlighting a gap in environmental monitoring.
The lack of detailed information on waste and noise pollution in Jaboatão dos Guararapes points to the need for improved local monitoring and reporting systems.
Insights into green spaces and water quality in Jaboatão dos Guararapes for 2024 are minimal, suggesting an opportunity for enhanced environmental analysis and community engagement.
The pollution ranking for Brazil is based on a combination of visitor perceptions and data from institutions like the World Health Organization. The Pollution Index estimates overall pollution levels by considering air and water pollution, garbage disposal, and other factors, with air pollution given the highest weight, while the Pollution Exp Scale uses an exponential function to highlight extremely polluted cities.