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Kabupaten Ngada

City in Nusa Tenggara Timur, Indonesia

Overview

Kabupaten Ngada is a mountainous regency in central Flores, Indonesia, celebrated for its cool climate, coffee plantations, and extraordinary traditional villages. The area offers culturally rich and scenic experiences far from crowded tourist hubs.

Geographic Context

Jurisdiction
Indonesia
Province
Nusa Tenggara Timur
Population
—
Time Zone
Asia/Jakarta
Coordinates
-8.67°, 121.00°

Key Metrics

Safety Score · estimate
60
Female Safety
52
LGBTQ+ Safety
25
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$407
Local Cost
$193
Local Income
$125
Cashless
28
English
30
Temperature
26.6°C
Summer Avg
26.5°C
Winter Avg
25.5°C
Record High
35.1°C
Record Low
19.9°C
Humidity
76%
Precipitation
1620 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BJW
Distance
8 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: 38/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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