us-east-1 vs us-west-2 cost: comparing two popular regions

Quick answer

us-east-1 (N. Virginia) and us-west-2 (Oregon) are both among AWS's lowest-priced regions, and for most services their prices are the same or very close, with us-east-1 occasionally the cheapest and first to get new services. The cost difference between them is usually small, so the decision should weigh more than sticker price: latency to your users, data-transfer cost between regions and to other services, service availability, and disaster-recovery separation. For most workloads the two are close enough that latency, data residency, and existing footprint matter more than the marginal price gap.

us-east-1 and us-west-2 are the two regions teams most often compare, because both are cheap, mature, and feature-complete. The good news is that their pricing is close enough that you rarely have to agonize over the difference. The more important news is that cost is only one factor, and for these two regions it is often not the deciding one.

How the two compare on price

Factor	us-east-1	us-west-2
Overall pricing	Among the lowest, often cheapest	Among the lowest, very close
New services	Usually first to launch	Early, but sometimes after us-east-1
Typical difference	Small on most services	Small on most services

Both regions sit at or near the bottom of AWS's price range, which is why they are so popular. For most services the per-unit price is the same or within a small margin, with us-east-1 occasionally edging out as the cheapest and typically the first region to receive new services and features. us-west-2 is close behind on both. The raw price gap between them is usually not large enough to drive the decision alone.

Why cost is not the whole story

Since the price difference is small, other factors should weigh more. Latency to your users matters: serving West Coast or Asia-Pacific users from Oregon may beat Virginia. Data-transfer cost matters: keeping compute in the same region as the data and services it talks to avoids cross-region transfer fees that can exceed any regional price difference. And disaster-recovery strategy may want geographic separation between primary and backup regions.

The data-transfer trap

The biggest cost mistake is not the regional price gap, it is splitting a workload across regions and paying cross-region data transfer between the parts. That transfer cost can dwarf the small per-unit savings of choosing one region over the other, so co-locating related resources usually matters more than the region's sticker price. This is the same data-transfer dynamic behind many unexpected charges.

Choosing between them

For most workloads, pick the region closest to your users and your existing footprint, keeping related resources together to avoid transfer cost, and treat the small price difference as a tiebreaker rather than the main factor. us-east-1's status as the default and cheapest region is explained in the us-east-1 pricing guide, and a poorly-placed cross-region design is a frequent reason a bill runs high. Price your workload in each candidate region against the resource catalog so the comparison includes data transfer, not just per-unit rates.

FAQ

Is us-east-1 or us-west-2 cheaper?

Both are among AWS's lowest-priced regions, and for most services their prices are the same or very close, with us-east-1 occasionally the cheapest and typically first to get new services. The cost difference between them is usually small, so it rarely drives the decision alone. Factors like latency, data-transfer cost, and existing footprint usually matter more than the marginal price gap.

How much does region choice affect AWS cost?

Between two low-priced regions like us-east-1 and us-west-2, the per-unit price difference is small for most services. The bigger cost impact comes from data transfer: splitting a workload across regions incurs cross-region transfer fees that can dwarf any regional price difference. So co-locating related resources matters more for cost than the region's sticker price when choosing between these two.

What should I weigh besides cost when choosing a region?

Latency to your users (serving West Coast or Asia-Pacific users from Oregon may beat Virginia), data-transfer cost (keeping compute near the data and services it talks to avoids cross-region fees), service availability (us-east-1 usually gets new services first), data residency requirements, and disaster-recovery separation between primary and backup regions. For these two close-priced regions, these factors usually outweigh the small price gap.

Why is cross-region data transfer a cost trap?

Because splitting a workload across regions means paying per-GB cross-region data transfer between the parts, and that ongoing cost can exceed the small per-unit savings of choosing one region over another. Co-locating related resources in a single region avoids these fees. The regional price gap is minor next to the transfer cost of a poorly-placed, cross-region architecture.

Which region should I choose for a new workload?

For most workloads, pick the region closest to your users and your existing footprint, keeping related resources together to avoid cross-region transfer cost, and treat the small price difference between low-cost regions as a tiebreaker rather than the main factor. If you are already in one region, staying there usually beats moving for a marginal per-unit saving once transfer costs are considered.

How does C3X help compare region cost?

C3X prices your infrastructure from Terraform against a live catalog, so you can compare the cost of a workload in different regions, including the data-transfer implications, before you deploy. That helps you weigh the small per-unit regional difference against the larger data-transfer and co-location factors at design time, choosing a region on total cost rather than sticker price alone.

What to do next

Compare region cost including data transfer before you deploy. C3X reads your Terraform and prices your resources against a live catalog. Start with the quickstart.