Google Data Studio Geo Map – Latitude Longitude

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 Google Data Studio Geo Map / Chart :

Google Data Studio Geo Map

**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

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#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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