Climate twins of Oceanside, CA

These are the US cities whose 12-month climate pattern most closely matches Oceanside's. Each "twin" must be at least 140 miles away to avoid trivial near-neighbor matches. Similarity is computed across all 24 monthly metrics (12 average temperatures + 12 average precipitations), normalized so temperature and precipitation contribute equally.

Rank 1 closest
King City, CA
similarity distance: 0.647 (lower = more similar)
Rank 2 closest
Greenfield, CA
similarity distance: 0.647 (lower = more similar)
Rank 3 closest
Milpitas, CA
similarity distance: 0.769 (lower = more similar)

Side-by-side: Oceanside vs its climate twin

Top match: King City, CA

Month Oceanside King City
High Low Precip High Low Precip
January 66.7°F 40.5°F 2.37 in 63.3°F 38.3°F 2.44 in
February 66.0°F 42.1°F 2.90 in 65.3°F 40.3°F 2.54 in
March 66.3°F 46.2°F 1.68 in 69.9°F 42.3°F 1.98 in
April 68.9°F 47.6°F 0.87 in 73.9°F 44.0°F 0.83 in
May 69.8°F 54.4°F 0.30 in 78.0°F 47.7°F 0.35 in
June 72.7°F 58.2°F 0.11 in 82.8°F 50.9°F 0.04 in
July 76.5°F 62.1°F 0.05 in 84.9°F 53.8°F 0.01 in
August 78.3°F 62.1°F 0.04 in 85.2°F 53.7°F 0.01 in
September 77.8°F 59.2°F 0.13 in 85.1°F 51.5°F 0.06 in
October 75.0°F 52.6°F 0.64 in 79.9°F 46.4°F 0.54 in
November 70.9°F 43.8°F 0.79 in 69.6°F 40.7°F 0.98 in
December 66.1°F 39.8°F 1.98 in 62.0°F 37.1°F 2.05 in

Cities that consider Oceanside their climate twin

These US cities have Oceanside in their top 3 most-similar list — meaning if you were to move from any of these places, Oceanside would feel familiar.

How this is computed

Each city is represented by a 24-dimensional vector: 12 monthly average temperatures and 12 monthly average precipitations. Each dimension is z-score normalized across the population of US cities, so that temperature variance and precipitation variance contribute proportionally. Distance between cities is Euclidean. We filter out cities within 2° latitude/longitude (~140 miles) so that "twins" mean climatically similar but geographically distinct — not just the neighboring town. Full methodology →