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Burmā
City in Jerash, Jordan
Overview
Burmā is a quaint village in the Jerash governorate, northern Jordan, known for its olive groves and tight-knit community. Visitors will experience authentic rural Jordanian life and scenic countryside views, with proximity to ancient Jerash and natural parks.
Geographic Context
Jurisdiction
Jordan
Governorate
Jerash
Population
4,735
Time Zone
Asia/Amman
Coordinates
32.22°, 35.79°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
30
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$580
Local Cost
$330
Local Income
$400
Cashless
20
English
25
Temperature
21.3°C
Summer Avg
29.0°C
Winter Avg
12.5°C
Record High
47.5°C
Record Low
-2.5°C
Humidity
56%
Precipitation
265 mm
Internet Speed
10 Mbps
Upload
4 Mbps
Latency
24 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
ADJ
Distance
34 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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