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巴西
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數字是全球統一尺度的研究估算；R 代表研究中。所有內容均非旅遊建議。
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找到心儀的飯店了？訂房前，先看看周邊區域。
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非常安全
較安全
謹慎
高風險
很高風險
極端風險
聖保羅: 56
數字是全球統一尺度的研究估算；R 代表研究中。所有內容均非旅遊建議。
找到心儀的飯店了？訂房前，先看看周邊區域。
點選搜尋會把查詢內容與所選城市傳送給 OpenStreetMap Nominatim，請勿輸入私人住址或敏感資訊。 搜尋服務政策
出發前，先瞭解
低信心的首版參考：結合國家或地區級結構指標與官方旅遊提示。
城市研究估算為 56/100；模型尺度上分數越高越安全。 證據日期: · 信賴度: D
顏色反映城市內部的區域證據。 空白處缺少區域證據，不代表安全。
32 個已映射區域 ·
邊界資料: Prefeitura de São Paulo · São Paulo — 32 subprefeituras (GeoSampa / URBIS) (Creative Commons Attribution-ShareAlike 4.0 (CC BY-SA 4.0))
城市估算不能評估某條街道、某家飯店或特定時段。
A low-confidence first reference using Brazil-level structural indicators with official violent-crime, robbery, and kidnapping guidance kept in the property dimension only.
Batch-generated global-scale research estimates. Local signals are used when available; otherwise documented country-level baselines and official current-condition guidance provide a low-confidence first reference. Not travel advice.
All 32 municipal subprefecture boundaries are represented, not the wider metropolitan region. Area variation uses the published traffic-death counts in Prefeitura de São Paulo's July 2025 indicator collection divided by its 2022 resident populations. The source lists a 2016-2023 historical series but does not explicitly state the aggregation window of the displayed counts; these are NOT annual rates. Log relative pressure is standardized across all 32 subprefectures, centered on the unchanged city score 56, with multiplier 4 and bounds 48-64. This cohort differs from the old five-parent sample. Only mobility evidence varies; population is not road-use, commuter or visitor exposure. No day/night difference or official safety ranking is inferred. 2026 display boundaries are joined to the published subprefecture names, not a reconstruction of historical boundaries. Derived geometry: Prefeitura de São Paulo / GeoSampa / URBIS, CC BY-SA 4.0. Research estimates, not travel advice.
alerts are not long-term baseline risk; event footprint may not equal traveler exposure; alert severity cannot be copied directly into Safrom score
country-level only; humanitarian risk framing differs from traveler exposure; composite inputs can overlap Safrom dimensions; current event conditions require separate signals
country-level only; reporting and justice-system differences; latest year differs by country; not traveler-specific
country-level only; availability does not measure emergency accessibility; latest year differs by country; distribution within a country is hidden
country-level only; collection is not annual for every country; some values are modeled estimates; resident exposure differs from traveler exposure
does not provide a comparable São Paulo incident rate; large within-city and time-of-day variation remains hidden; advisory level is not an absolute safety score; U.S.-traveler perspective
country-level only; modeled perceptions rather than traveler incidents; cannot represent neighborhood variation or current events; confidence intervals must not be discarded