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Gurgaon
City in Haryana, India
Overview
Gurgaon, also known as Gurugram, is a dynamic satellite city southwest of Delhi, famous for its skyscrapers, busy tech parks, and lively nightlife. With a blend of modern lifestyle amenities and traditional markets, the city attracts both business travelers and families seeking a lively urban environment.
Geographic Context
Jurisdiction
India
State
Haryana
Population
876,824
Time Zone
Asia/Kolkata
Coordinates
28.44°, 77.01°
Key Metrics
Safety Score
50
Female Safety
35
LGBTQ+ Safety
35
Traffic Safety
30
Food Safety
65
Monthly Cost
$1,120
Local Cost
$443
Local Income
$600
Cashless
85
English
75
Temperature
25.7°C
Summer Avg
32.9°C
Winter Avg
15.4°C
Record High
48.6°C
Record Low
-0.8°C
Humidity
44%
Precipitation
647 mm
Internet Speed
165 Mbps
Upload
139 Mbps
Latency
3 ms
City Vibrancy
27
Coworking
0
Cafes
1
Nightlife
0
Parks
26
Transport
0
Walk Score
0
Footways
—
Airport
DEL
Distance
16 km
Explore
Neighborhoods
Mapped288 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 288 neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 16 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-05.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 288 source-backed neighborhood entities are available for this city. Updated 2026-03-21.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 83/100.
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