Political data and governmental data encompasses all data about governments and political actors, from the macro level (international) to the micro level (local). The data measures data on national security, lobbyists, national spending and debt, trade agreements, historical treaties, government benefits programs, and more.
This data comes from government records and policies as well as international organizations and research institutions. Third parties may also conduct their own polls and surveys.
Most of this data comes in the form of tables that show dates and regions, though maps are also common. They also include data from government and third-party sources, especially census data.
Additionally, these datasets show a diversity of granularity. Some datasets, for example, list party registration by county and demographics (sex, race, income bracket). Other datasets, meanwhile, are more broad, such as corruption indices by country.
Governments use this data to make internal policy decisions as well as diplomatic or trade decisions. Ambassadors and consulates also find various aspects of this data category useful in the performance of their duties.
Additional users of political data include commercial companies and investors looking to expand into a new market. Other companies, like travel agencies, use this data to measure risks of doing their businesses in different countries, or different areas of foreign countries.
Some political data sources are trustworthy, such as primary sources like regulations and treaties. Other measurements—surveys and polls in particular—have been shown to be very difficult to measure. However, diligent poll sampling and interviewing can mitigate these inaccuracies.
American professional sports owners have contributed nearly $47 million in federal elections since 2015, according to research by ESPN in partnership with FiveThirtyEight, including $10 million to Republican causes and $1.9 million to Democratic causes so far in the 2020 election cycle.
ZIGRAM’s dataset – ‘Anti Money Laundering Penalties’ provides Economic Data, Legal Case Data, Political Data, Environmental Data and that can be used in
Transparent Data’s dataset – ‘Sanction Lists API – data from 16 of the world’s largest sanction lists’ provides Company Data and Political Data that can be used in Supplier Risk, and B2B Credit Risk
Transparent Data’s dataset – ‘PEP API Politicians Data | Global coverage from 8 largest world lists’ provides Company Data, Political Data and Consumer Lifestyle Data that can be used in Supplier Risk and