Google Data Studio Geo Map – Latitude Longitude

Last Updated: February 19, 2022

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:

Geo 1

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 Field Map / Geo Chart / Geo Heat Map / Geo Bubble Map:

geo map geo chart

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

insert menu
geo map

Geo data types available in Google Data Studio

Following are the various Geo data types available in Google Data Studio:

  1. Continent
  2. Subcontinent
  3. Country
  4. Country Subdivision (1st level)
  5. Country Subdividion (2nd level)
  6. Designated market area
  7. City
  8. Postal Code
  9. Address
  10. Latitude, Longitude

#1 Continent

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

#2 Subcontinent 

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:

subcontinent

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

#3 Country 

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:

list of countries

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

#4 Country Subdivision (1st Level)

country subdividion level 1

Use the ‘country subdivision (1st level)’ data type if you want Data Studio to expect a country subdivision name when processing a field in the connected data source. 

For example, the ‘US states’, ‘Canadian provinces’, ‘French regions’ are examples of a country subdivision (1st level). 

You can get a full list of Country subdivisions (1st level) here

https://support.google.com/datastudio/answer/9843174?hl=en#country-subdivision-1st-level&zippy=%2Cin-this-article

#5 Country Subdivision (2nd Level)

country subdividion level 2

Use the ‘country subdivision (2nd level)’ data type if you want Data Studio to expect a country subdivision at level 2 name when processing a field in the connected data source. 

For example, the ‘US countries’, ‘Italian and Spanish provinces ’, ‘French departments’ are examples of a country subdivision (2nd level). 

You can get a full list of Country subdivisions (2nd level) here

https://support.google.com/datastudio/answer/9843174?hl=en#country-subdivision-2nd-level&zippy=%2Cin-this-article

#6 Designated market area

designated market area

Use the ‘Designated market area’ data type if you want Data Studio to expect a Designated market area name when processing a field in the connected data source. 

Designated market areas are media markets or television market areas or simply a market region where the users can receive similar television and radio station offerings. This is currently supported only for the United States.

Examples of designated market areas are

  • New York
  • Los Angeles[b]
  • Chicago[c]
  • Philadelphia[d]
  • Dallas-Fort Worth[e]
  • San Francisco-Oakland-San Jose[f]
  • Atlanta[g]
  • Houston[h]
  • Washington (Hagerstown)[i]. 

You can get a full list of designated market areas here

https://support.google.com/datastudio/answer/9843174?hl=en#designated-market-area&zippy=%2Cin-this-article

#7 City 

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. 

#8 Postal Code

postal code

Use the ‘Postal code’ data type if you want data studio to expect 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:

postal code

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

postal code

#9 Address

Address

Use the Address data type if you want Data Studio to expect a 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:

address

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

address map

#10 Latitude, Longitude

Lattitude Longitude

Use the ‘Latitude, Longitude’ data type if you want Data Studio to expect 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

lattitude longitude finder

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

lattitude longitude

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:

lattitude longitude google map
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