Using this guide

This guide is designed to help you find both statistics and datasets. All data and statistics listed are either open-access or a JHU specific resource. This guide is organized by discipline. Guidance on finding discipline specific data and statistics is on the main page for each discipline, so be sure to check them out! Use the sidebar to find data and statistics relevant to your discipline of interest. These resources listings are not comprehensive, and are only designed to highlight prominent and significant data and statistics collections, by discipline.

Access to JHU Specific Content

Access to some data and statistics resources are limited to active Johns Hopkins affiliates, and will require you to log in with your JHED ID and password in order to use them. If you are on the Johns Hopkins "guest" wireless networks (on both Homewood and JHMI campuses), or off campus, you will NOT always be able to view full content of subscribed databases unless you use the Virtual Private Network (VPN).

What if I am unable to find the dataset or statistics I am looking for?

Reach out to us at dataservices@jhu.edu and we can assist you in finding locating the appropriate data or statistics.

If you know specifically which dataset you are interested in, but JHU does not subscribe, and you are an active JHU affiliate you may apply for a JHU Libraries Data Grant and, contingent on eligibility and availability, you will receive access to the data you need.

What is the difference between Data and Statistics?

Data	Statistics
Data are the direct result of a survey or research. Data are raw information before any interpretation or analysis. Data are generally in a machine-readable data file.	Statistics are the study of data through data analysis. Statistics can be numerical, or visual, such as a summary table or a graph.
When to use data: Use data when you are trying to answer the questions of how or why some phenomenon or process is occurring. This requires the use of inferential statistics, conducted on raw data, to make predictions (or inferences) from your data. Data should be used to derive new knowledge or corroborate existing observations.	When to use statistics: Statistical data are summaries of data generated by descriptive statistics. These include measures of frequency, distribution, variation, and rank. Use statistical data when trying to answer the questions of how much or how many.  Statistical data should be used when you need facts to support an argument or thesis.