BigQuery locations
This page explains the concept of location and the different regions where data can be stored and processed. Pricing for storage and analysis is also defined by location of data and reservations. For more information about pricing for locations, see BigQuery pricing. To learn how to set the location for your dataset, see Create datasets. For information about reservation locations, see Managing reservations in different regions.
For more information about how the BigQuery Data Transfer Service uses location, see Data location and transfers.
Locations and regions
BigQuery provides two types of data and compute locations:
A region is a specific geographic place, such as London.
A multi-region is a large geographic area, such as the United States or Europe, that contains many unique and discrete regions. Multi-region locations can provide larger quotas than single regions, but multi-regions don't provide regional redundancy. Data is stored in a single region and compute is only provided within that region. For cross-region redundancy BigQuery offers managed disaster recovery.
For either location type, BigQuery automatically stores copies of your data in two different zones within a single region in the selected location. Multi-regions are considered separate from other regions, even when located within the same zone. For more information about data availability and durability, see Disaster planning.
Supported locations
BigQuery datasets can be stored in the following regions and multi-regions. For more information about regions and zones, see Geography and regions.
Regions
The following table lists the regions in the Americas where BigQuery is available.| Region description | Region name | Details |
|---|---|---|
| Columbus, Ohio | us-east5 |
|
| Dallas | us-south1 |
 Low CO2
|
| Iowa | us-central1 |
Low CO2
|
| Los Angeles | us-west2 |
|
| Las Vegas | us-west4 |
|
| Mexico | northamerica-south1 |
|
| Montréal | northamerica-northeast1 |
Low CO2
|
| Northern Virginia | us-east4 |
|
| Oklahoma | us-central2 |
Low CO2
|
| Oregon | us-west1 |
Low CO2 |
| Salt Lake City | us-west3 |
|
| São Paulo | southamerica-east1 |
Low CO2
|
| Santiago | southamerica-west1 |
Low CO2
|
| South Carolina | us-east1 |
|
| Toronto | northamerica-northeast2 |
Low CO2
|
| Region description | Region name | Details |
|---|---|---|
| Bangkok | asia-southeast3 |
|
| Delhi | asia-south2 |
|
| Hong Kong | asia-east2 |
|
| Jakarta | asia-southeast2 |
|
| Melbourne | australia-southeast2 |
|
| Mumbai | asia-south1 |
|
| Osaka | asia-northeast2 |
|
| Seoul | asia-northeast3 |
|
| Singapore | asia-southeast1 |
|
| Sydney | australia-southeast1 |
|
| Taiwan | asia-east1 |
|
| Tokyo | asia-northeast1 |
| Region description | Region name | Details |
|---|---|---|
| Belgium | europe-west1 |
Low CO2
|
| Berlin | europe-west10 |
|
| Finland | europe-north1 |
Low CO2
|
| Frankfurt | europe-west3 |
|
| London | europe-west2 |
Low CO2
|
| Madrid | europe-southwest1 |
Low CO2
|
| Milan | europe-west8 |
|
| Netherlands | europe-west4 |
Low CO2
|
| Paris | europe-west9 |
Low CO2
|
| Stockholm | europe-north2 |
Low CO2
|
| Turin | europe-west12 |
|
| Warsaw | europe-central2 |
|
| Zürich | europe-west6 |
Low CO2
|
| Region description | Region name | Details |
|---|---|---|
| Dammam | me-central2 |
|
| Doha | me-central1 |
|