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nomisdata: Access 'Nomis' UK Labour Market Data and Statistics

Interface to the 'Nomis' database (<https://www.nomisweb.co.uk>), maintained by Durham University on behalf of the Office for National Statistics (ONS). Provides access to UK labour market statistics including census data, benefit claimant counts, and employment surveys. Supports automatic pagination, optional disk caching, spatial data via 'sf', and tidy data output. Independent implementation unaffiliated with ONS or Durham University.

Version: 0.1.2
Depends: R (≥ 4.1.0)
Imports: cli (≥ 3.6.0), dplyr (≥ 1.1.0), httr2 (≥ 1.0.0), jsonlite (≥ 1.8.0), rlang (≥ 1.1.0), tibble (≥ 3.2.0), utils, digest, methods
Suggests: cachem (≥ 1.0.0), ggplot2 (≥ 3.4.0), janitor (≥ 2.2.0), knitr (≥ 1.42), memoise (≥ 2.0.0), rappdirs (≥ 0.3.0), readr (≥ 2.1.0), rmarkdown (≥ 2.20), rsdmx (≥ 0.6.0), scales (≥ 1.2.0), sf (≥ 1.0.0), testthat (≥ 3.1.0), withr (≥ 2.5.0)
Published: 2026-02-10
DOI: 10.32614/CRAN.package.nomisdata
Author: Cheryl Isabella Lim ORCID iD [aut, cre]
Maintainer: Cheryl Isabella Lim <cheryl.academic at gmail.com>
BugReports: https://github.com/cherylisabella/nomisdata/issues
License: MIT + file LICENSE
URL: https://github.com/cherylisabella/nomisdata
NeedsCompilation: no
Language: en-GB
Materials: README, NEWS
CRAN checks: nomisdata results

Documentation:

Reference manual: nomisdata.html , nomisdata.pdf
Vignettes: Advanced Querying (source, R code)
Working with Geography (source, R code)
Getting Started with nomisdata (source, R code)
Spatial Analysis with nomisdata (source, R code)
Data Visualisation (source, R code)

Downloads:

Package source: nomisdata_0.1.2.tar.gz
Windows binaries: r-devel: nomisdata_0.1.2.zip, r-release: nomisdata_0.1.2.zip, r-oldrel: nomisdata_0.1.2.zip
macOS binaries: r-release (arm64): nomisdata_0.1.2.tgz, r-oldrel (arm64): nomisdata_0.1.2.tgz, r-release (x86_64): nomisdata_0.1.2.tgz, r-oldrel (x86_64): nomisdata_0.1.2.tgz
Old sources: nomisdata archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nomisdata to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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