Datasets:
Correct scope: 5,000 large companies and organizations, not a top-5,000 ranking
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README.md
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pretty_name: "Let's Encrypt Adoption Among
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license: cc-by-4.0
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tags:
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- cybersecurity
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- 1K<n<10K
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# Let's Encrypt Adoption Among
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## Overview
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This dataset lists 5,050 large companies whose websites were found to use SSL/TLS certificates issued by Let's Encrypt. Each row carries firmographic context
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It is intended for technology research, cybersecurity analysis, technographic research, competitive intelligence, market analysis and data science.
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## Dataset Highlights
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* 5,050
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* Every
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* Every
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* 142 industries and 140 countries represented
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## What is Let's Encrypt?
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| Column | Type | Coverage | Description |
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| ------ | ---- | -------- | ----------- |
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| `Popularity Rank` | int64 | 100% | Website popularity rank, lower being more popular. Ranges from 5 to 1,959,064 |
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| `Domain` | string | 100% | Primary website domain. Unique across the file |
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| `Company Name` | string | 100% | Company or organization name, lowercased |
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| `Company Size` | string | 100% | Employee band. Two values: `5001-10000` (2,245 rows) and `10001+` (2,805 rows) |
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| `Industry` | string | 99.7% | Industry label, lowercased. 142 distinct values |
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| `LinkedIn URL` | string | 100% | Company LinkedIn profile path |
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| `Locality` | string | 85.1% | City or region, where available |
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| `Country` | string | 100% |
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| `TLD` | string | 100% | Top-level domain. 355 distinct values |
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| `Language` | string | 0.6% | Detected site language |
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| `Instagram` | string | 0.4% | Instagram handle |
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## Methodology
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Websites were analyzed for technical fingerprints associated with Let's Encrypt.
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Technology detection represents an observation at the time of collection and should not be interpreted as confirmation of an organization's complete infrastructure.
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* Website infrastructure can change over time.
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* Results represent observations from the dataset's collection period.
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* The dataset should not be interpreted as an official statement from any company regarding its technology stack.
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* Every row is an adopter, so the file describes what Let's Encrypt adopters look like. Measuring what share of large
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## Citation
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Plain text:
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StackScan. (2026). *Let's Encrypt Adoption Among
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BibTeX:
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```bibtex
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@misc{stackscan_lets_encrypt_2026,
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author = {{StackScan}},
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title = {Let's Encrypt Adoption Among
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year = {2026},
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publisher = {StackScan},
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howpublished = {\url{https://www.stackscan.com/technology/lets-encrypt}},
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---
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pretty_name: "Let's Encrypt Adoption Among 5,000 Large Companies and Organizations"
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license: cc-by-4.0
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tags:
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- cybersecurity
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- 1K<n<10K
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---
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# Let's Encrypt Adoption Among 5,000 Large Companies and Organizations
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## Overview
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This dataset lists 5,050 large companies and organizations whose websites were found to use SSL/TLS certificates issued by Let's Encrypt. Each row carries firmographic context: industry, employee band, country, locality, founding year and LinkedIn profile.
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The file is a sample of large organizations that use Let's Encrypt. It is not a ranking, and it is not the 5,000 largest or most popular organizations in the world.
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It is intended for technology research, cybersecurity analysis, technographic research, competitive intelligence, market analysis and data science.
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## Dataset Highlights
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* 5,050 organizations, one row each, with no repeated domains
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* Every organization in the file uses Let's Encrypt, so there is no adoption column. Adoption is the selection criterion
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* Every organization has 5,001 or more employees
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* 142 industries and 140 countries represented
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* Not only private companies: 1,120 rows (22%) are government bodies, universities, schools, non-profits and similar institutions
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## What is Let's Encrypt?
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| Column | Type | Coverage | Description |
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| ------ | ---- | -------- | ----------- |
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| `Popularity Rank` | int64 | 100% | Website popularity rank, lower being more popular. Ranges from 5 to 1,959,064. Rows are stored in ascending rank order |
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| `Domain` | string | 100% | Primary website domain. Unique across the file |
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| `Company Name` | string | 100% | Company or organization name, lowercased |
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| `Company Size` | string | 100% | Employee band. Two values: `5001-10000` (2,245 rows) and `10001+` (2,805 rows) |
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| `Industry` | string | 99.7% | Industry label, lowercased. 142 distinct values |
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| `LinkedIn URL` | string | 100% | Company LinkedIn profile path |
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| `Locality` | string | 85.1% | City or region, where available |
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| `Country` | string | 100% | Organization or website country. 140 distinct values |
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| `TLD` | string | 100% | Top-level domain. 355 distinct values |
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| `Language` | string | 0.6% | Detected site language |
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| `Instagram` | string | 0.4% | Instagram handle |
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## Methodology
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Websites were analyzed for technical fingerprints associated with Let's Encrypt. An organization is considered a Let's Encrypt adopter when the relevant certificate or technology footprint is detected on its associated website.
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Technology detection represents an observation at the time of collection and should not be interpreted as confirmation of an organization's complete infrastructure.
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* Website infrastructure can change over time.
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* Results represent observations from the dataset's collection period.
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* The dataset should not be interpreted as an official statement from any company regarding its technology stack.
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* Every row is an adopter, so the file describes what Let's Encrypt adopters look like. Measuring what share of large organizations use Let's Encrypt would require a comparable sample of non-adopters, which is not included here.
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## Citation
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Plain text:
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StackScan. (2026). *Let's Encrypt Adoption Among 5,000 Large Companies and Organizations* [Data set]. StackScan. https://www.stackscan.com/technology/lets-encrypt
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BibTeX:
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```bibtex
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@misc{stackscan_lets_encrypt_2026,
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author = {{StackScan}},
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title = {Let's Encrypt Adoption Among 5,000 Large Companies and Organizations},
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year = {2026},
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publisher = {StackScan},
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howpublished = {\url{https://www.stackscan.com/technology/lets-encrypt}},
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