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Khairpur Mir’s

City in Sindh, Pakistan

Overview

Khairpur Mir's, set in Sindh province, is renowned for its rich heritage, ornate palaces, and lively bazaars. The city offers a unique mix of history, culture, and local hospitality, making it an emerging destination for curious travelers.

Geographic Context

Jurisdiction
Pakistan
Province
Sindh
Population
—
Time Zone
Asia/Karachi
Coordinates
27.53°, 68.76°

Key Metrics

Safety Score · estimate
35
Female Safety
25
LGBTQ+ Safety
10
Traffic Safety
40
Food Safety
45
Monthly Cost · estimate
$393
Local Cost
$217
Local Income
$120
Cashless
25
English
30
Temperature
28.8°C
Summer Avg
37.1°C
Winter Avg
17.7°C
Record High
52.0°C
Record Low
0.3°C
Humidity
30%
Precipitation
140 mm
Internet Speed
11 Mbps
Upload
7 Mbps
Latency
19 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
SKZ
Distance
22 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 124 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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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