Data

Number of clinical trials

See all data and research on:

What you should know about this indicator

  • This data comes from the database. It only includes or clinical trials that are marked as "completed" and have a valid "completion date". , which provide access to investigational drugs or devices for patients with serious conditions, are not included in this data.
  • Country location is determined by the country with the most locations listed in the trial. If multiple countries have the same number of locations, the first one listed is used.
  • The year is the year of the trial's completion date. This is first entered (as a planned completion data) when the trial is first registered, and then updated when the trial is completed.
Number of clinical trials
Annual number of completed clinical trials registered in the database for each country. Registration in the ClinicalTrials database is mandatory for trials in the United States, but voluntary for other countries.
Source
ClinicalTrials.gov (2025)with major processing by Our World in Data
Last updated
July 28, 2025
Next expected update
July 2026
Date range
1918–2031
Unit
trials

Sources and processing

ClinicalTrials.gov – Clinical Trials (ClinicalTrials.gov)

ClinicalTrials.gov is a website and online database of clinical research studies and information about their results. The purpose of ClinicalTrials.gov is to provide information about clinical research studies to the public, researchers, and health care professionals.

Retrieved on
July 28, 2025
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
National Library of Medicine (US), National Center for Biotechnology Information, ClinicalTrials.gov. U.S. National Institutes of Health, https://clinicaltrials.gov/ (2025)

ClinicalTrials.gov is a website and online database of clinical research studies and information about their results. The purpose of ClinicalTrials.gov is to provide information about clinical research studies to the public, researchers, and health care professionals.

Retrieved on
July 28, 2025
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
National Library of Medicine (US), National Center for Biotechnology Information, ClinicalTrials.gov. U.S. National Institutes of Health, https://clinicaltrials.gov/ (2025)

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline
Notes on our processing step for this indicator
  • If multiple locations are listed, the country with the most locations listed is used. If multiple countries have the same number of locations, the first one listed is used.
  • If a trial has no locations listed or the country is not specified, the location is set to "Location not specified".

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Number of clinical trials”, part of the following publication: Tuna Acisu, Saloni Dattani, Fiona Spooner, Veronika Samborska, Hannah Ritchie, and Max Roser (2025) - “Medicine and Biotechnology”. Data adapted from ClinicalTrials.gov. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/number-of-clinical-trials.html [online resource] (archived on March 4, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

ClinicalTrials.gov (2025) – with major processing by Our World in Data

Full citation

ClinicalTrials.gov (2025) – with major processing by Our World in Data. “Number of clinical trials” [dataset]. ClinicalTrials.gov, “Clinical Trials (ClinicalTrials.gov)” [original data]. Retrieved April 14, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/number-of-clinical-trials.html (archived on March 4, 2026).

Quick download

Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.

Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/number-of-clinical-trials.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/number-of-clinical-trials.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/number-of-clinical-trials.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/number-of-clinical-trials.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/number-of-clinical-trials.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/number-of-clinical-trials.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/number-of-clinical-trials.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/number-of-clinical-trials.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear