Skip to main content

Data & Statistics: Home


Data is the raw information from which statistics are created.

  • Factual information: observational, experimental, simulated.
  • Example: machine-readable data files for statistical software programs.
  • Data can be analyzed and interpreted using statistical procedures to answer “why” or “how.” 
  • Data is used to create new information and knowledge.


Statistics provide an interpretation and summary of data.

  • Numerical data organized and interpreted.
  • Statistics are the results of data analysis. It usually comes in the form of a table, chart or graph.

*Who* might collect or publish this type of information?

Information can be free, require payment, freely available, or private. Common sources of information include:

  • Government Agencies – information funded by tax revenue is often free.
  • Non-Profit organizations.
  • Academic Institutions.
  • Private Sector – consider patent research.

*What* categories and formats might this information include?

Consider context terms when formulating queries.

  • Analyst reports
  • Articles
  • Company profiles
  • Country profiles
  • Economic indicators
  • Financial markets
  • Industry market research
  • Data repositories

*Where* might this information reside?

Understanding where information is located is a form of literacy.

  • Academic Database
  • Government
    • Unites States
    • International
  • Organization
  • Private sector


Sebastien Marion's picture
Sebastien Marion
New York City Campus Library
1855 Broadway
New York, NY, 10023
© 2020 New York Institute of Technology