Historic lists of top 100 names for baby boys and girls for 1904 to 1994 at 10-yearly intervals.

Rank and count of the top names for baby boys, changes in rank since the previous year and breakdown by country, region, mother's age and month of birth.

Rank and count of the top names for baby girls, changes in rank since the previous year and breakdown by country, region, mother's age and month of birth.

The most popular name for baby boys in England in 2022 was Noah which was the chosen name for 4,320 babies. Noah was also the second-most popular baby name in Wales in this year while Olivia wa s the most popular name for girls in England.

The most popular names for baby girls in England 2022 were Olivia, Amelia and Isla. In the same year, the most popular name for baby boys in England was Noah.

This is the Index of Place Names (IPN) in Great Britain as at December 2023 (published July 2024). The IPN was first produced after the 1831 Census; this new version has been greatly expanded in content and extent. Featuring over 100,000 entries, it lists the names of localities and geography areas throughout England, Scotland and Wales. The IPN is published annually and with an updated and informative user guide giving a full rundown and explanation of the contents (File Size - 8 MB).

This user guide gives a full rundown and explanation of the contents of the new 2021 Index of Place Names (IPN) in Great Britain. The download includes PDF and ODT versions of the user guide. (File Size - 570KB)

Chosen names reflect changes in societal values, personal tastes and cultural diversity. Vogues in name usage can be easily shown on a case by case basis, by plotting the rise and fall in their popularity over time. However, individual name choices are not made in isolation and trends in naming are better understood as group-level phenomena. Here we use network analysis to examine onomastic (name) datasets in order to explore the influences on name choices within the UK over the last 170 years. Using a large representative sample of approximately 22 million forenames from England and Wales given between 1838 and 2014, along with a complete population sample of births registered between 1996 and 2016, we demonstrate how trends in name usage can be visualised as network graphs. By exploring the structure of these graphs various patterns of name use become apparent, a consequence of external social forces, such as migration, operating in concert with internal mechanisms of change. In general, we show that the topology of network graphs can reveal naming vogues, and that naming vogues in part reflect social and demographic changes. Many name choices are consistent with a self-correcting feedback loop, whereby rarer names become common because there are virtues perceived in their rarity, yet with these perceived virtues lost upon increasing commonality. Towards the present day, we can speculate that the comparatively greater range of media, freedom of movement, and ability to maintain globally-distributed social networks increases the number of possible names, but also ensures they may more quickly be perceived as commonplace. Consequently, contemporary naming vogues are relatively short-lived with many name choices appearing a balance struck between recognisability and rarity. The data are available in multiple forms including via an easy-to-use web interface at http://demos.flourish.studio/namehistory.

This file contains names and codes for Nomenclature of Territorial Units for Statistics, level 2 (NUTS2) in the United Kingdom as at the 1 January 2012. (File Size - 1 KB)

This file contains the names and codes for the countries of the United Kingdom as at 31 December 2015. (File Size - 1 KB)

This statistic shows the results of a survey in which people in England were asked what they call their main evening meal, dinner or tea? As can be seen in this statistic, whether or not someone says 'tea' or 'dinner' has a strong relationship to whether they live in the north or south of England, with northerners far more likely to say 'tea' and southerners 'dinner'. There is also a weaker relationship between respondents and their social class; The working class in both regions are more likely than the middle class to say 'tea' rather than 'dinner'.

This file contains the names and codes for the countries of the United Kingdom as at 31st December 2024. (File size - 16 KB)Field Names - CTRY24CD, CTRY24NM, CTRY24NMWField Types - Text, Text, TextField Lengths - 9, 17, 16

This file contains names and codes for local administrative units - level 1 in the United Kingdom as at 1st January 2025. (File size - 48KB)Field Names - LAU125CD, LAU125NMField Types - Text, TextField Lengths - 9, 36

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

These data were originally collected by the Censuses of Population for England and Wales, and for Scotland. They were computerised by the Great Britain Historical GIS Project and its collaborators. They form part of the Great Britain Historical Database, which contains a wide range of geographically-located statistics, selected to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain, generally at sub-county scales.

The census gathered data on levels of educational attainment only from 1951. In 1951 and 1961, attainment was measured simply by the age at which a person's education was completed, rather than by the level of qualifications achieved. These data cover, broadly, the adult population, including many people who had completed their education decades before the relevant census, so the data are indicative of the general level of education of the workforce at the census date, but are a problematic guide to the performance of the education system at that date. The census reports also include cross-tabulations of age of education completion with current age, but not with the level of geographical detail of the transcribed tables.

The 1951 data for England and Wales were computerised by Danny Dorling (now of Oxford University), as part of research funded by the Joseph Rowntree Foundation.

Latest edition information:

For the 2nd edition (June 2021), data for Scotland for 1951 and data for England & Wales and Scotland for 1961 have been added to the study.

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This file contains names and codes for Nomenclature of Territorial Units for Statistics, level 1 (NUTS1) in the United Kingdom as at the 1 January 2018. (File Size - 16 KB)Field Names - NUTS118CD, NUTS118NMField Types - Text, TextField Lengths - 3, 24

This dataset comprises a corpus of names, in both the first and middle position, for approximately 22 million individuals born in England and Wales between 1838 and 2014. This data is obtained from birth records made available by a set of volunteer-run genealogical resources - collectively, the 'UK local BMD project' (http://www.ukbmd.org.uk/local) - and has been re-purposed here to demonstrate the applicability of network analysis methods to an onomastic dataset. The ownership and licensing of the intellectual property constituting the original birth records is detailed at https://www.ukbmd.org.uk/TermsAndConditions. Under section 29A of the UK Copyright, Designs and Patents Act 1988, a copyright exception permits copies to be made of lawfully accessible material in order to conduct text and data mining for non-commercial research. The data included in this dataset represents the outcome of such a text-mining analysis. No birth records are included in this dataset, and nor is it possible for records to be reconstructed from the data presented herein. The data comprises an archive of tables, presenting this corpus in various forms: as a rank order of names (in both the first and middle position) by number of registered births per year, and by the total number of births across all years sampled. An overview of the data is also provided, with summary statistics such as the number of usable records registered per year, most popular names per year, and measures of forename diversity and the surname-to-forename usage ratio (an indicator of which forenames are more likely to be transferred uses of surnames). These tables are extensive but not exhaustive, and do not exclude the possibility that errors are present in the corpus. Data are also presented both as '.expression' files (an input format readable by the network analysis tool Graphia Professional) and as '.layout' files, a text file format output by Graphia Professional that describes the characteristics of the network so that it may be replicated. Characteristics of the original birth records that allow the identification of individuals - for instance, full name or location of birth - have been removed.