Geo Data – Country, Region, Latitude, Longitude in Google Data Studio
Google Data Studio provides the ‘Geo’ data type for geographical data. You see this data type when you create or edit a data source schema in Data Studio:

Use the ‘Geo’ data type if you want Data Studio to expect geographic data (like a city, region, country, continent) when processing a field in the underlying data source.
‘Geo’ data types are generally used with Google Maps or Geo Charts :

You can insert a Google Map or Geo Chart in your Data Studio report from the ‘Insert’ menu:


Following are the various Geo data types available in Google Data Studio:
- Country
- Country code
- Continent
- Continent code
- SubContinent
- SubContinent Code
- Region
- Region code
- City
- City code
- Metro
- Metro code
- Latitude, Longitude
- Postal Code
- Address
#1 Country

Use the ‘country’ data type if you want Data Studio to expect a country name when processing a field in the connected data source.
For example, the ‘United Kingdom’ is an example of a country name.
The following are examples of country names:

You can get the full list of valid country names from here: https://www.worldometers.info/geography/alphabetical-list-of-countries/
#2 Country code

Use the ‘Country code’ data type if you want Data Studio to expect a country code (instead of country name) when processing a field in the connected data source.
For example, the country code for ‘United Kingdom’ is ‘GB’.
The following are examples of country codes:

You can get the full list of valid country codes from here: https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2
Get the ebook on Google Data Studio (50+ Pages)
#3 Continent

Use the ‘Continent’ data type if you want Data Studio to expect a continent name when processing a field in the connected data source.
The following are examples of valid continent names (in the context of Data Studio):
- Africa
- Oceania
- Americas
- Asia
- Europe
#4 Continent code

Use the ‘Continent code’ data type if you want Data Studio to expect a continent code (instead of continent name) when processing a field in the connected data source.
For example, the continent code for Europe is 150.
The following are examples of continent codes:

You can get the full list of the valid continent codes from here: https://developers.google.com/chart/interactive/docs/gallery/geochart#Continent_Hierarchy
#5 SubContinent

Use the ‘SubContinent’ data type if you want Data Studio to expect a sub-continent name when processing a field in the connected data source.
For example, ‘Northern Europe’ is a sub-continent name.
The following are examples of sub-continent names:

You can get the full list of the valid sub-continent names from here: https://developers.google.com/chart/interactive/docs/gallery/geochart#Continent_Hierarchy
#6 SubContinent Code

Use the ‘SubContinent Code’ data type if you want Data Studio to expect a sub-continent code (instead of sub-continent name) when processing a field in the connected data source.
For example, the sub-continent code for Northern Europe is 154.
You can get the full list of the valid sub-continent codes from here: https://developers.google.com/chart/interactive/docs/gallery/geochart#Continent_Hierarchy
#7 Region

Use the ‘Region’ data type if you want data studio to expect a region name when processing a field in the connected data source.
For example, ‘California’ is a region in the ‘United States’. Use Google to find region names of a particular country.
Note: Region data is not available for all countries.
#8 Region code

Use the ‘Region Code’ data type if you want Data Studio to expect a region code (instead of region name) when processing a field in the connected data source.
For example, the region code for ‘California’ is ‘US-CA’
Note: Region code data is not available for all countries.
#9 City

Use the ‘City’ data type if you want data studio to expect a city name when processing a field in the connected data source. For example, ‘London’ is a city.
#10 City code

Use the ‘City code’ data type if you want Data Studio to expect a city code (instead of city name) when processing a field in the connected data source.
For example, the city code for ‘London’ is 1006886.
You can get the list of the valid city codes from here: https://developers.google.com/analytics/devguides/collection/protocol/v1/geoid
#11 Metro

The ‘Metro’ data type is only applicable to the United States.
Use this data type if you want Data Studio to expect a metro name when processing a field in the connected data source.
For example, ‘New York’ is a metro.
You can get the list of metro cities in the United States from here: https://en.wikipedia.org/wiki/Cities_and_metropolitan_areas_of_the_United_States
#12 Metro code

The ‘Metro code’ data type is only applicable to the United States.
Use this data type if you want data studio to expect a metro code (instead of metro name) when processing a field in the connected data source.
For example, the metro code for ‘New York’ city is 200201.
Note: Metro codes for the US start with 200
#13 Latitude, Longitude

Use the ‘Latitude, Longitude’ data type if you want Data Studio to expect a Latitude, Longitude information when processing a field in the connected data source.
Use the Latitude and Longitude Finder https://www.latlong.net/ to get the Latitude and Longitude data for a particular geo-location.
You can also use this tool to find GPS coordinates: https://www.maps.ie/coordinates.html

Here is how you enter the latitude and longitude information in Google Sheets:

This latitude and longitude information is for London, UK
If we use these coordinates on Google Maps (embedded in a Data Studio report), it is going to look like the one below:

#14 Postal Code
Use the ‘Postal code’ data type if you want data studio to expect a postcode (zip code) information when processing a field in the connected data source.
For example, the following is the postcode of Heathrow airport terminal 2:

If we use this postcode field on Google Maps (embedded in a Data Studio report), it is going to look like the one below:

#15 Address

Use the ‘Address’ data type if you want data studio to expect full address when processing a field in the connected data source.
For example, the following is the full address of the Prime Minister of the UK:

If we use this address field on Google Maps (embedded in a Data Studio report), it is going to look like the one below:

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Register for the FREE TRAINING...
"How to use Digital Analytics to generate floods of new Sales and Customers without spending years figuring everything out on your own."
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#1 Why digital analytics is the key to online business success.
#2 The number 1 reason why most marketers are not able to scale their advertising and maximize sales.
#3 Why Google and Facebook ads don’t work for most businesses & how to make them work.
#4 Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.
#5 The number 1 reason why conversion optimization is not working for your business.
#6 How to advertise on any marketing platform for FREE with an unlimited budget.
#7 How to learn and master digital analytics and conversion optimization in record time.
My best selling books on Digital Analytics and Conversion Optimization
Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.
Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.
Attribution Modelling in Google Analytics and Beyond
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.
Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.
Google Data Studio provides the ‘Geo’ data type for geographical data. You see this data type when you create or edit a data source schema in Data Studio:
Use the ‘Geo’ data type if you want Data Studio to expect geographic data (like a city, region, country, continent) when processing a field in the underlying data source.
‘Geo’ data types are generally used with Google Maps or Geo Charts :
You can insert a Google Map or Geo Chart in your Data Studio report from the ‘Insert’ menu:
Following are the various Geo data types available in Google Data Studio:
- Country
- Country code
- Continent
- Continent code
- SubContinent
- SubContinent Code
- Region
- Region code
- City
- City code
- Metro
- Metro code
- Latitude, Longitude
- Postal Code
- Address
#1 Country
Use the ‘country’ data type if you want Data Studio to expect a country name when processing a field in the connected data source.
For example, the ‘United Kingdom’ is an example of a country name.
The following are examples of country names:
You can get the full list of valid country names from here: https://www.worldometers.info/geography/alphabetical-list-of-countries/
#2 Country code
Use the ‘Country code’ data type if you want Data Studio to expect a country code (instead of country name) when processing a field in the connected data source.
For example, the country code for ‘United Kingdom’ is ‘GB’.
The following are examples of country codes:
You can get the full list of valid country codes from here: https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2
Get the ebook on Google Data Studio (50+ Pages)
#3 Continent
Use the ‘Continent’ data type if you want Data Studio to expect a continent name when processing a field in the connected data source.
The following are examples of valid continent names (in the context of Data Studio):
- Africa
- Oceania
- Americas
- Asia
- Europe
#4 Continent code
Use the ‘Continent code’ data type if you want Data Studio to expect a continent code (instead of continent name) when processing a field in the connected data source.
For example, the continent code for Europe is 150.
The following are examples of continent codes:
You can get the full list of the valid continent codes from here: https://developers.google.com/chart/interactive/docs/gallery/geochart#Continent_Hierarchy
#5 SubContinent
Use the ‘SubContinent’ data type if you want Data Studio to expect a sub-continent name when processing a field in the connected data source.
For example, ‘Northern Europe’ is a sub-continent name.
The following are examples of sub-continent names:
You can get the full list of the valid sub-continent names from here: https://developers.google.com/chart/interactive/docs/gallery/geochart#Continent_Hierarchy
#6 SubContinent Code
Use the ‘SubContinent Code’ data type if you want Data Studio to expect a sub-continent code (instead of sub-continent name) when processing a field in the connected data source.
For example, the sub-continent code for Northern Europe is 154.
You can get the full list of the valid sub-continent codes from here: https://developers.google.com/chart/interactive/docs/gallery/geochart#Continent_Hierarchy
#7 Region
Use the ‘Region’ data type if you want data studio to expect a region name when processing a field in the connected data source.
For example, ‘California’ is a region in the ‘United States’. Use Google to find region names of a particular country.
Note: Region data is not available for all countries.
#8 Region code
Use the ‘Region Code’ data type if you want Data Studio to expect a region code (instead of region name) when processing a field in the connected data source.
For example, the region code for ‘California’ is ‘US-CA’
Note: Region code data is not available for all countries.
#9 City
Use the ‘City’ data type if you want data studio to expect a city name when processing a field in the connected data source. For example, ‘London’ is a city.
#10 City code
Use the ‘City code’ data type if you want Data Studio to expect a city code (instead of city name) when processing a field in the connected data source.
For example, the city code for ‘London’ is 1006886.
You can get the list of the valid city codes from here: https://developers.google.com/analytics/devguides/collection/protocol/v1/geoid
#11 Metro
The ‘Metro’ data type is only applicable to the United States.
Use this data type if you want Data Studio to expect a metro name when processing a field in the connected data source.
For example, ‘New York’ is a metro.
You can get the list of metro cities in the United States from here: https://en.wikipedia.org/wiki/Cities_and_metropolitan_areas_of_the_United_States
#12 Metro code
The ‘Metro code’ data type is only applicable to the United States.
Use this data type if you want data studio to expect a metro code (instead of metro name) when processing a field in the connected data source.
For example, the metro code for ‘New York’ city is 200201.
Note: Metro codes for the US start with 200
#13 Latitude, Longitude
Use the ‘Latitude, Longitude’ data type if you want Data Studio to expect a Latitude, Longitude information when processing a field in the connected data source.
Use the Latitude and Longitude Finder https://www.latlong.net/ to get the Latitude and Longitude data for a particular geo-location.
You can also use this tool to find GPS coordinates: https://www.maps.ie/coordinates.html
Here is how you enter the latitude and longitude information in Google Sheets:
This latitude and longitude information is for London, UK
If we use these coordinates on Google Maps (embedded in a Data Studio report), it is going to look like the one below:
#14 Postal Code
Use the ‘Postal code’ data type if you want data studio to expect a postcode (zip code) information when processing a field in the connected data source.
For example, the following is the postcode of Heathrow airport terminal 2:
If we use this postcode field on Google Maps (embedded in a Data Studio report), it is going to look like the one below:
#15 Address
Use the ‘Address’ data type if you want data studio to expect full address when processing a field in the connected data source.
For example, the following is the full address of the Prime Minister of the UK:
If we use this address field on Google Maps (embedded in a Data Studio report), it is going to look like the one below:
Related Articles
- How to use Supermetrics for Google Sheets Add-on
- How to extract data from Google Analytics into Google Sheets
- How to extract data from Google Ads into Google Sheets
- How to extract data from Facebook Ads into Google Sheets
- How to extract data from Google Search Console into Google Sheets
- Guide to Supermetrics queries for Google Sheets
- How to extract data from Excel or CSV file into Google Sheets
- Google Data Studio Tutorial – 2019
- How to format Google Sheets data for Google Data Studio
- How to use Google Data Studio with Google Sheets
- Community Visualization Access in Google Data Studio
- Data Source Version History in Google Data Studio
- Dimensions and metrics in Google Data Studio
- Field editing in reports – Google Data Studio
- Guide to Data Source Fields in Google Data Studio
- Guide to Data Source in Google Data Studio
- How to create and configure a data source in Google Data Studio
- How to Share Data Source with others in Google Data Studio
- Understanding Data Freshness in Google Data Studio
- Understanding Data Source Credentials in Google Data Studio
- How to use Google Data Studio in another language
- Doing Basic Maths on Numeric Fields via Calculated Fields
- Google Data Studio Number Formats / Data Types
- Guide to Calculated Fields in Google Data Studio
- Guide to Date and Time Data Types in Google Data Studio
- How to work with ‘Text’ data type in Google Data Studio
- How to work with Boolean data type in Google Data Studio
- The ‘Data Set Configuration Error’ in Google Data Studio
- Working with Timezones in Google Sheets and Google Data Studio
- Formula Rejection in Google Data Studio
- Understanding Functions in Google Data Studio
- How to Edit a Calculated Field in Google Data Studio
- Why You Should Avoid Using Functions and Calculated Fields in Data Studio
- Geo Data – Country, Region, Latitude, Longitude in Google Data Studio
Register for the FREE TRAINING...
"How to use Digital Analytics to generate floods of new Sales and Customers without spending years figuring everything out on your own."
Here’s what we’re going to cover in this training…
#1 Why digital analytics is the key to online business success.
#2 The number 1 reason why most marketers are not able to scale their advertising and maximize sales.
#3 Why Google and Facebook ads don’t work for most businesses & how to make them work.
#4 Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.
#5 The number 1 reason why conversion optimization is not working for your business.
#6 How to advertise on any marketing platform for FREE with an unlimited budget.
#7 How to learn and master digital analytics and conversion optimization in record time.
My best selling books on Digital Analytics and Conversion Optimization
Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.
Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.
Attribution Modelling in Google Analytics and Beyond
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.
Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.