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Chak Jhumra

City in Punjab, Pakistan

Overview

Chak Jhumra is a small yet lively town in the Punjab province of Pakistan, known for its strategic railway junction and industrial presence. The city offers a window into authentic local life, with a mix of traditional bazaars and modern amenities.

Geographic Context

Jurisdiction
Pakistan
Province
Punjab
Population
37,214
Time Zone
Asia/Karachi
Coordinates
31.57°, 73.18°

Key Metrics

Safety Score · estimate
50
Female Safety
30
LGBTQ+ Safety
15
Traffic Safety
40
Food Safety
55
Monthly Cost · estimate
$280
Local Cost
$183
Local Income
$120
Cashless
20
English
30
Temperature
26.2°C
Summer Avg
35.9°C
Winter Avg
14.4°C
Record High
51.1°C
Record Low
-1.7°C
Humidity
37%
Precipitation
427 mm
Internet Speed
11 Mbps
Upload
9 Mbps
Latency
36 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
LYP
Distance
29 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 94 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.

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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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