Where Biodiversity Is Vanishing: Top 25 Countries With the Most Threatened Species
Introduction: Where Biodiversity Is Breaking
What happens when the wild goes silent? When forests echo with fewer bird calls and coral reefs lose their color? This page takes a closer look at the top 25 countries where biodiversity is under the most pressure, using real data, clear charts, and visual storytelling.
Every year, thousands of species move closer to extinction. But this isn’t just about animals disappearing. It’s about broken food chains, vanishing pollinators, and fragile ecosystems trying to stay afloat. Our data visualizations track the alarming rise in threatened vertebrates, invertebrates, and plant species across the years.
These charts do more than show numbers. They reveal patterns. They spotlight places where nature is calling for help — and where urgent action is still possible.
Powered by Chart.js, Leaflet maps, and spreadsheet-based datasets, this tool makes it easy to explore biodiversity loss in a way that's interactive and intuitive. You can compare countries, select years, and uncover trends that are often hidden in the headlines.
Data Sources: UNdata (United Nations Statistics Division), last accessed November 2024. World Conservation Union (IUCN), Gland and Cambridge, IUCN Red List of Threatened Species, last accessed June 2024.
It’s not too late. There’s still time to understand what’s happening, share the truth, and be part of the change.
Abstract
Abstract: This visual data story explores the rise in threatened biodiversity across the world’s top 25 countries, focusing on vertebrates, invertebrates, and plants. Using open-source tools and global datasets, we highlight critical patterns and shifts over time. The goal is to make biodiversity loss not just measurable, but understandable — and impossible to ignore.
Context and background
Context & Background: Biodiversity isn't just a scientific term — it's the fabric of life that holds ecosystems together. Yet in recent decades, this fabric has been fraying. Climate change, deforestation, pollution, and unsustainable development have pushed thousands of species toward extinction. From tropical rainforests to dry grasslands, no corner of the Earth has been untouched.
This project is grounded in real numbers and global data, but it’s meant for everyone — from researchers and students to concerned citizens. By breaking down species threat levels country by country, and showing how things have changed year by year, we hope to bring the biodiversity crisis closer to home.
Data Sources: UNdata (United Nations Statistics Division), last accessed November 2024. World Conservation Union (IUCN), Gland and Cambridge, IUCN Red List of Threatened Species, last accessed June 2024.
🌱 Source: UN data for Environment- Threatened species.
📝 Visual Guide: This horizontal bar chart shows the top 25 countries with the highest number of threatened invertebrate species for a selected year. The chart updates dynamically based on the year you choose from the dropdown. A soft red tone indicates the count intensity. Use this to explore how biodiversity threats to invertebrates (like insects, mollusks, and corals) vary globally over time.
🌱 Source: UN data for Environment- Threatened species.
📝 Visual Guide: This horizontal bar chart shows the top 25 countries with the highest number of threatened plant species for each selected year. The bars are shaded in a vibrant green to reflect biodiversity and vegetation themes. Countries are ranked from top to bottom based on how many plant species are reported as threatened. The year selector allows you to explore how rankings change over time.
🌱 Source: UN data for Environment- Threatened species.
📝 Visual Guide: This chart displays the leading countries reporting the most threatened vertebrate species (including mammals, birds, reptiles, amphibians, and fish) for each selected year. Like the plants chart, it uses a horizontal bar format—visually highlighting country-wise rankings in descending order. The bars are colored in earthy brown tones, suggesting the grounded nature of terrestrial and aquatic vertebrate life.
What the Data Says: Threatened Biodiversity Across Plants, Invertebrates & Vertebrates
We looked closely at the top 25 countries with the highest number of threatened species across three major groups—plants, invertebrates, and vertebrates. And what we found paints a picture that is both urgent and deeply interconnected.
Some countries like Brazil, India, Indonesia, and Mexico appear in all three lists. This isn’t just coincidence—it points to deep-rooted environmental stress affecting every layer of life, from the smallest insect to the tallest tree.
Threatened plant species are alarmingly high in many regions, yet they receive the least attention. These are the green foundations of life—quietly disappearing, even in countries known for conservation. It reminds us that saving biodiversity isn’t just about animals—it's about the roots too.
Invertebrates like insects, mollusks, and corals are under immense pressure, especially in places like Australia, Ecuador, and Madagascar. They might be small, but their role in ecosystems is enormous. What’s concerning is how invisible they’ve become in conservation conversations.
Vertebrates—the birds, mammals, amphibians, and reptiles—often serve as biodiversity indicators. Their rising threat levels, especially in tropical countries, are loud warnings. But they also show that at least some monitoring and data collection are improving.
What’s even more striking is that many of the most affected countries are also facing poverty, inequality, or political instability. The biodiversity burden is real—and it’s often not matched by the capacity to protect it.
Why This Data Matters
This isn’t just another set of charts. This is a mirror, showing us what’s at stake and where our attention needs to go.
Researchers and students can use this data to dive deeper—there’s still so much we don’t know, especially about invertebrates and plants. This can guide field studies, grant proposals, and classroom debates.
Policy makers and NGOs can identify countries where urgent, multi-species action is needed. And where small investments in data collection could lead to big conservation wins.
Educators and communicators can use these findings to tell richer, more inclusive stories about nature—not just the charismatic animals, but also the bugs, roots, and soil-dwellers that keep ecosystems alive.
What we hope most of all is this: that these charts make the invisible visible. That they open eyes, spark conversations, and help people care just a little more. Because protecting biodiversity isn’t just science—it’s a matter of empathy, urgency, and shared responsibility.
Method and Data Processing
Data Source and Collection
The primary data was obtained from UNdata, last accessed in November 2024. It included global records on threatened species categorized by year and country. Three core columns—Country, Year, and Value—were identified as essential for our analysis.
The entire dataset was then classified into three main biodiversity groups: Vertebrates, Invertebrates, and Plants. This classification formed the backbone of all subsequent visualizations and insights.
Data Processing
Using Python and the Pandas library, the raw data was first cleaned to ensure consistency and remove any incomplete or duplicate entries. Special care was taken to separate country-level records from broader continental groupings, which were excluded from the final analysis.
The dataset ranged from 2004 to 2023. For each year, the top 25 countries were selected based on the number of threatened species in each biodiversity category. This made the visualizations more focused, digestible, and relevant for public understanding.
Three separate CSV files were created—one for each of the biodiversity categories. These served as clean, structured datasets ready for embedding into the site’s visual tools.
Data Visualization
Each category was represented using a horizontal bar chart built with Chart.js. The values were hardcoded directly into the JavaScript files to improve performance and compatibility with low-bandwidth or offline scenarios.
A year selector was implemented to allow users to view data dynamically for each available year. Color schemes were kept distinct for each category, aligned with the I Hug Trees brand palette, to create visual separation and clarity.
The final charts were embedded on the main webpage using separate iframes for modularity and ease of reuse across other sections and blog posts.
Technical Validation
All values were double-checked against the official IUCN Red List numbers to ensure reliability. Manual checks were also done to verify country-wise rankings and consistency across years.
The charts were tested across modern web browsers and devices to ensure smooth rendering, legibility, and responsiveness. No external APIs were used during runtime, allowing for secure and predictable chart behavior.
All data files and scripts are publicly reproducible, ensuring transparency and the ability for other researchers and educators to reuse this work for their own projects or classrooms.
README: Threatened Species Biodiversity Charts
Generated on: 2025-04-20
Created by: I Hug Trees (ihugtrees.org)
Dataset Title
Global Biodiversity Trends in Threatened Species (2004–2023)
Data download links
Date of Data Collection
Original data spans from 2004 to 2023, with the most recent dataset extracted and cleaned in November 2024.
Data Source
Primary Sources: UNdata, IUCN Red List Summary Tables (via UN Statistics Division)
Processed and visualized using Python (Pandas), and embedded using Chart.js for dynamic charts
Overview
This dataset showcases the top 25 countries with the highest counts of threatened species, broken into three categories: Vertebrates, Invertebrates, and Plants.
Each chart uses color-coded, horizontal bar visualizations to help users interactively explore year-wise biodiversity risk levels across nations.
Data Processing Steps
Data Cleaning – Filtered to remove inconsistencies, separate country-level data from continents.
Category Classification – Grouped into Vertebrates, Invertebrates, and Plants for better comparison.
Country Selection – Only the top 25 countries per category were retained to improve focus and visualization clarity.
CSV Generation – Three separate CSV files were created using Python Pandas for each biodiversity group.
Data Format
File Type: CSV (.csv)
Columns:
Country – Name of the country
Year – Values from 2004 to 2023
Value – Total number of threatened species per year per country
Group – Vertebrates, Invertebrates, or Plants
Scope and Limitations
Focus: The charts present the most visible biodiversity hotspots but do not account for sub-national data or ecosystem-specific threats.
Updates: Last updated in April 2025; future updates will enhance accuracy with finer categories and additional species data.
Use Case: Suitable for awareness campaigns, educational tools, and biodiversity policy monitoring dashboards.
Usage and Applications
Understanding biodiversity risk patterns over time
Highlighting priority countries for conservation actions
Teaching biodiversity concepts in schools and universities
Supporting global SDG 15 (Life on Land) initiatives
Software and Tools Used
Python (Pandas) – Data filtering, ranking, and CSV creation
Chart.js – Chart rendering with embedded JavaScript
HTML iFrames – Embedding reusable visual components into the I Hug Trees website
Access and Citation
To explore the full visualizations and insights, visit I Hug Trees - Data Analytics.
If you use or refer to this dataset, kindly cite the following:
How to cite this dataset
AMA Style:
“Global Biodiversity Trends in Threatened Species.” I Hug Trees. https://ihugtrees.org/data-analytics/where-biodiversity-is-vanishing-top25-countries-with-most-threatened-species.html Accessed Apr 20, 2025.
BibTeX Style:
@misc{ihugtrees2025_threatened, title = {Global Biodiversity Trends in Threatened Species}, author = {{I Hug Trees}}, year = {2025}, howpublished = {\url{https://ihugtrees.org/data-analytics/where-biodiversity-is-vanishing-top25-countries-with-most-threatened-species.html}}, note = {Accessed: 2025-04-20} }
Understanding CC BY 4.0 and Giving Credit
The data visualizations, content, and insights on this page are shared under the Creative Commons Attribution 4.0 (CC BY 4.0) license. This means you are free to use, share, and adapt the materials, as long as you give proper credit to "I Hug Trees." Attribution ensures that the time and effort behind creating and sharing this knowledge are acknowledged. Here's how you can give credit:
The visualization chart is courtesy of "I Hug Trees - Data Analytics" . The primary dataset comes from [Data Source link - for example: UN Data ] or other third-party sources.