stats19
stats19: A focused R data-access package for reproducible UK road-safety analysis. Ranked #99 of 106 in Statistical Analysis Software by our editors (3.0/10); pricing: Free plan; best for R users retrieving UK road-safety datasets.
At a glance
- Editor score3.0 / 10
- PricingFree plan
- Best forR users retrieving UK road-safety datasets
- Free planYes
- Paid fromFree
- DeploymentDesktop
- Facts checked23 Sep 2026
Where it wins
- Programmatically retrieves collision, casualty, and vehicle records
- Year selection and schemas support reproducible scripts
- Free, open-source package with CSV data import
Where it doesn't
- Focused on UK STATS19 datasets rather than broad statistical analysis
- Requires R scripting and self-hosted setup
- Support is centered on documentation and community channels
Our verdict on stats19
stats19 is an open-source R package from rOpenSci for downloading and reading UK Department for Transport STATS19 road-safety data. It is designed for analysts and researchers who work in R and need programmatic access to collision, casualty, and vehicle records. Users can select specified years, retrieve the relevant datasets, and read the downloaded files into R. The package targets reproducible data acquisition rather than serving as a standalone statistical testing application.
Its main strength is a focused retrieval workflow. Script-based access supports repeatable data collection, while included STATS19 schemas and metadata help analysts understand the structure of the records they import. The published product details identify CSV files from UK STATS19 datasets as the import format. As an open-source package with a free plan, stats19 can fit solo analysts, small teams, mid-market organizations, and enterprises that already use R. Deployment is self-hosted, and support is provided through documentation and community channels.
That focus also defines its limits. stats19 addresses access to a specific UK road-safety dataset, not broad statistical analysis across varied sources, and it does not provide a general-purpose desktop testing environment. Teams seeking statistical methods beyond the package's data-access role, datasets outside STATS19, or workflows that do not use R should choose another tool alongside or instead of it. Choose stats19 when reproducible, script-based retrieval of UK collision, casualty, and vehicle data is the priority; avoid it as the sole platform for wider statistical modeling or analysis needs.
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stats19 pricing
stats19 fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment | Desktop |
| Statistical tests | Not verified |
| Regression models | Not verified |
| Scripting support | Yes |
| Bayesian analysis | Not verified |
| Data import formats | CSV files from UK STATS19 datasets |
| Deployment | Self-hosted |
| Support | Docs, Community |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | docs.ropensci.org |
| Facts checked | 23 Sep 2026 |
Alternatives to stats19
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- IBM SPSS StatisticsA broad desktop statistics suite with testing, modeling, forecasting, reporting, and R/Python integration.9.2
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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