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EU NUTS Code and Name

• [ #Geo ]

DataHerb Metadata

  • DataHerb ID: eu_nuts
  • DataHerb Name: EU NUTS Code and Name
  • Contributors: LM
  • Description: make the eu nuts levels more accessible
  • GitHub Repository: datumorphism/dataset-eu-nuts

DataHerb Leaves: Files in Dataset

  • Metadata
  • Usage
  • Name: NUTS 2006 Version in JSON
  • File:
  • Format: json
  • Size: 82187

Fields

  1. country: Country codes and names in NUTS system
  2. nuts_1: NUTS 1 codes and names in NUTS system
  3. nuts_2: NUTS 2 codes and names in NUTS system
  4. nuts_3: NUTS 3 codes and names in NUTS system

Import Data

Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2006__2008_2011.json"
df = pd.read_json(url)
  • Name: NUTS 2013 Version in JSON
  • File:
  • Format: json
  • Size: 85985

Fields

  1. country: Country codes and names in NUTS system
  2. nuts_1: NUTS 1 codes and names in NUTS system
  3. nuts_2: NUTS 2 codes and names in NUTS system
  4. nuts_3: NUTS 3 codes and names in NUTS system

Import Data

Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2013__2015_2017.json"
df = pd.read_json(url)
  • Name: NUTS 2010 Version in CSV
  • File:
  • Format: csv
  • Size: 98838

Fields

  1. nuts_code: NUTS Code
  2. nuts_level: Level in the NUTS system
  3. country:
  4. nuts_1:
  5. nuts_2:
  6. nuts_3:

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2010__2012_2014.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2010__2012_2014.csv"
df = pd.read_csv(url)
  • Name: NUTS 2013 Version in CSV
  • File:
  • Format: csv
  • Size: 102674

Fields

  1. nuts_code: NUTS Code
  2. nuts_level: Level in the NUTS system
  3. country:
  4. nuts_1:
  5. nuts_2:
  6. nuts_3:

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2013__2015_2017.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2013__2015_2017.csv"
df = pd.read_csv(url)
  • Name: NUTS 2021 Version in JSON
  • File:
  • Format: json
  • Size: 98491

Fields

  1. country: Country codes and names in NUTS system
  2. nuts_1: NUTS 1 codes and names in NUTS system
  3. nuts_2: NUTS 2 codes and names in NUTS system
  4. nuts_3: NUTS 3 codes and names in NUTS system

Import Data

Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2021__2021_.json"
df = pd.read_json(url)
  • Name: NUTS 2006 Version in CSV
  • File:
  • Format: csv
  • Size: 92354

Fields

  1. nuts_code: NUTS Code
  2. nuts_level: Level in the NUTS system
  3. country:
  4. nuts_1:
  5. nuts_2:
  6. nuts_3:

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2006__2008_2011.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2006__2008_2011.csv"
df = pd.read_csv(url)
  • Name: NUTS 2003 Version in CSV
  • File:
  • Format: csv
  • Size: 75952

Fields

  1. nuts_code: NUTS Code
  2. nuts_level: Level in the NUTS system
  3. country:
  4. nuts_1:
  5. nuts_2:
  6. nuts_3:

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2003__2004_2007.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2003__2004_2007.csv"
df = pd.read_csv(url)
  • Name: NUTS 2010 Version in JSON
  • File:
  • Format: json
  • Size: 82911

Fields

  1. country: Country codes and names in NUTS system
  2. nuts_1: NUTS 1 codes and names in NUTS system
  3. nuts_2: NUTS 2 codes and names in NUTS system
  4. nuts_3: NUTS 3 codes and names in NUTS system

Import Data

Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2010__2012_2014.json"
df = pd.read_json(url)
  • Name: NUTS 2016 Version in JSON
  • File:
  • Format: json
  • Size: 85721

Fields

  1. country: Country codes and names in NUTS system
  2. nuts_1: NUTS 1 codes and names in NUTS system
  3. nuts_2: NUTS 2 codes and names in NUTS system
  4. nuts_3: NUTS 3 codes and names in NUTS system

Import Data

Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2016__2018_2020.json"
df = pd.read_json(url)
  • Name: NUTS 2016 Version in CSV
  • File:
  • Format: csv
  • Size: 97450

Fields

  1. nuts_code: NUTS Code
  2. nuts_level: Level in the NUTS system
  3. country:
  4. nuts_1:
  5. nuts_2:
  6. nuts_3:

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2016__2018_2020.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2016__2018_2020.csv"
df = pd.read_csv(url)
  • Name: NUTS 2021 Version in CSV
  • File:
  • Format: csv
  • Size: 84380

Fields

  1. nuts_code: NUTS Code
  2. nuts_level: Level in the NUTS system
  3. country:
  4. nuts_1:
  5. nuts_2:
  6. nuts_3:

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2021__2021_.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2021__2021_.csv"
df = pd.read_csv(url)
  • Name: NUTS 2003 Version in JSON
  • File:
  • Format: json
  • Size: 67433

Fields

  1. country: Country codes and names in NUTS system
  2. nuts_1: NUTS 1 codes and names in NUTS system
  3. nuts_2: NUTS 2 codes and names in NUTS system
  4. nuts_3: NUTS 3 codes and names in NUTS system

Import Data

Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-nuts/master/dataset/nuts_v2003__2004_2007.json"
df = pd.read_json(url)

References:

  • History of NUTS @ Eurostats
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