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Kabupaten Nagekeo

City in Nusa Tenggara Timur, Indonesia

Overview

Kabupaten Nagekeo, located on Flores Island in Indonesia, is a region of lush landscapes, scenic villages, and a cultural traditions. The area is lesser-known among international tourists but offers pristine nature, authentic cultural experiences, and friendly local communities.

Geographic Context

Jurisdiction
Indonesia
Province
Nusa Tenggara Timur
Population
—
Time Zone
Asia/Jakarta
Coordinates
-8.87°, 121.21°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
50
Monthly Cost · estimate
$442
Local Cost
$220
Local Income
$170
Cashless
30
English
25
Temperature
27.0°C
Summer Avg
27.7°C
Winter Avg
25.5°C
Record High
32.9°C
Record Low
21.9°C
Humidity
77%
Precipitation
1517 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BJW
Distance
25 km

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 2025-12-09.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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