Final blacklist

opendatafortaxjustice

Files Size Format Created Updated License Source
5 0B csv zip 4 months ago
Download

Data Files

File Description Size Last changed Download
anti_beps_measures 2kB csv (2kB) , json (22kB)
blacklist 4kB csv (4kB) , json (36kB)
fair_taxation 5kB csv (5kB) , json (48kB)
tax_transparency 8kB csv (8kB) , json (58kB)
datapackage_zip Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 22kB zip (22kB)

anti_beps_measures  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
jurisdiction 1 string (default)
Passes Implementation of Anti-Beps Measures 2 string (default)
Member of the Inclusive Framework on BEPS 3 string (default)
Signatory of the MLI 4 string (default)
Implements ATAD 5 string (default)

blacklist  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
jurisdiction 1 string (default)
blacklisted? 2 string (default)
Passes Criterion Tax Transparency 3 string (default)
Passes Criterion Fair Taxation 4 string (default)
Passes Criterion Anti Beps 5 string (default)
Listed solely on criterion two 6 string (default)
Income Level 7 string (default)
OECD member, G20 member, EU candidate or Financial Center? 8 string (default)

fair_taxation  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
jurisdiction 1 string (default)
passes fair taxation 2 string (default)
is a sink of a conduit (with sink centrality value) 3 string (default)
witholding tax rate on dividends 4 string (default)
has a zero percent rate? 5 string (default)
has a preferential tax regime? 6 string (default)
Corporate tax rate (2017) 7 number (default)
Corporate tax rate ranking 8 string (default)
Has transfer pricing rules? 9 string (default)
has thin cap rules? 10 string (default)
has CFC rules? 11 string (default)

tax_transparency  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
jurisdiction 1 string (default)
Passes Tax Transparency 2 string (default)
Passes Criterion 1.1 3 string (default)
MCAA signatory 4 string (default)
CRS by MCAA or Bilateral Network 5 string (default)
Number of Automatic exchange relations 6 number (default)
Passes Criterion 1.2 7 string (default)
Global Forum Rating 8 string (default)
Rating Schedule 9 string (default)
Passes Criterion 1.3 10 string (default)
Multilateral Convention Signatory 11 string (default)
Number of treaties with EU Countries that contain paragraph 4 & 5 12 number (default)
Has Sufficient Treaty Network 13 string (default)

Import into your tool

Data-cli or just data is the program to get and post your data with the datahub.
Use data with the datahub.io almost like you use git with the github. Here are installation instructions.

data get https://datahub.io/opendatafortaxjustice/blacklist
tree opendatafortaxjustice/blacklist
# Get a list of dataset's resources
curl -L -s https://datahub.io/opendatafortaxjustice/blacklist/datapackage.json | grep path

# Get resources

curl -L https://datahub.io/opendatafortaxjustice/blacklist/r/0.csv

curl -L https://datahub.io/opendatafortaxjustice/blacklist/r/1.csv

curl -L https://datahub.io/opendatafortaxjustice/blacklist/r/2.csv

curl -L https://datahub.io/opendatafortaxjustice/blacklist/r/3.csv

curl -L https://datahub.io/opendatafortaxjustice/blacklist/r/4.zip

If you are using R here's how to get the data you want quickly loaded:

install.packages("jsonlite", repos="https://cran.rstudio.com/")
library("jsonlite")

json_file <- 'https://datahub.io/opendatafortaxjustice/blacklist/datapackage.json'
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# get list of all resources:
print(json_data$resources$name)

# print all tabular data(if exists any)
for(i in 1:length(json_data$resources$datahub$type)){
  if(json_data$resources$datahub$type[i]=='derived/csv'){
    path_to_file = json_data$resources$path[i]
    data <- read.csv(url(path_to_file))
    print(data)
  }
}

Note: You might need to run the script with root permissions if you are running on Linux machine

Install the Frictionless Data data package library and the pandas itself:

pip install datapackage
pip install pandas

Now you can use the datapackage in the Pandas:

import datapackage
import pandas as pd

data_url = 'https://datahub.io/opendatafortaxjustice/blacklist/datapackage.json'

# to load Data Package into storage
package = datapackage.Package(data_url)

# to load only tabular data
resources = package.resources
for resource in resources:
    if resource.tabular:
        data = pd.read_csv(resource.descriptor['path'])
        print (data)

For Python, first install the `datapackage` library (all the datasets on DataHub are Data Packages):

pip install datapackage

To get Data Package into your Python environment, run following code:

from datapackage import Package

package = Package('https://datahub.io/opendatafortaxjustice/blacklist/datapackage.json')

# print list of all resources:
print(package.resource_names)

# print processed tabular data (if exists any)
for resource in package.resources:
    if resource.descriptor['datahub']['type'] == 'derived/csv':
        print(resource.read())

If you are using JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use the following code snippet:

const {Dataset} = require('data.js')

const path = 'https://datahub.io/opendatafortaxjustice/blacklist/datapackage.json'

// We're using self-invoking function here as we want to use async-await syntax:
;(async () => {
  const dataset = await Dataset.load(path)
  // get list of all resources:
  for (const id in dataset.resources) {
    console.log(dataset.resources[id]._descriptor.name)
  }
  // get all tabular data(if exists any)
  for (const id in dataset.resources) {
    if (dataset.resources[id]._descriptor.format === "csv") {
      const file = dataset.resources[id]
      // Get a raw stream
      const stream = await file.stream()
      // entire file as a buffer (be careful with large files!)
      const buffer = await file.buffer
      // print data
      stream.pipe(process.stdout)
    }
  }
})()
Datapackage.json