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.

Ranks and counts of baby names for boys and girls in England and Wales, 1996 to 2021.

The UK Government manages the .gov.uk domain name registry in order to signify digital services that are part of the administration of the state, so that they can be identified as authoritative and trustworthy.

The rules governing which organisations are eligible to register .gov.uk domain names and those names that may be used are set out in Naming and registering websites and social media channels.

Public sector bodies may register .gov.uk domain names for a variety of purposes:

Email only purposes Websites, including those for campaigns, education, information and transactions Page redirection (e.g. for alternative spellings of domain names) To maintain access to information on the UK Government Website Archive Domain registration is requested via an Internet Service Provider (ISP) to the technical administrators of the .gov.uk second level domain, JANET(UK). JANET(UK) acts as the domain name registry, holding information on which domain names are registered and who owns them on behalf of Cabinet Office.

Cabinet Office is responsible for approving requests for new domain names and any appeals. The .gov.uk domain name approvals and appeals process is described online.

These boys' names and girls' names lists have been collated from live Birth registrations in Northern Ireland, from 1997-2016.

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 is the Index of Place Names (IPN) in Great Britain as at December 2022 (published March 2023). 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 - 7 MB).(Note: Updated version 1.1 (published May 2023) reflects the change in registration districts from Northamptonshire to North Northamptonshire and West Northamptonshire.)

The UK Species Inventory is the most comprehensive curated database of UK wildlife taxonomy and nomenclature. Originally developed for the JNCC's "Recorder" biological recording package, the database has since 2000 been maintained by the Natural History Museum, London. Data has been sourced from published checklists and from a network of dedicated amateur and professional taxonomists. It forms the foundation for the largest biological recording and reporting systems in the UK, including all of the partners in the National Biodiversity Network. This extract from the UKSI has been created by the data management team at the NBN Atlas as as simplified derivative checklist.

This zip file contains the Code History Database for the United Kingdom as at December 2017. To download the zip file click the Download button. The Code History Database (CHD) contains the GSS nine-character codes, where allocated, for current and new statistical geographies from 1 January 2009. The codes consist of a simple alphanumeric structure; the first three characters (ANN) represent the area entity (i.e. type; or category of geography) and the following six characters (NNNNNN) represent the specific area instance. The CHD provides multiple functionality including details of codes, relationships, hierarchies and archived data. The CHD can be used in conjunction with the Register of Geographic Codes (RGC) that summarises the range of area instances within each geographic entity. The GSS Coding and Naming policy for some statistical geographies was implemented on 1 January 2011. From this date, where new codes have been allocated they should be used in all exchanges of statistics and published outputs that normally include codes. For further information on this product, please read the user guide and version notes contained within the product zip file.Updated Geographies

·
New entity for County Electoral Divisions (E58)

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Updates to Electoral Wards in England (E05), Clinical Commissioning Groups in England (E38) (name changes) and Waste Authorities in England (E50).

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Updates to all Geography Constitutions to as at 31/12/2017

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Changes to the SI Details, Name Changes and Information table.

Database Changes

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Updates to form design to account for December 2017 version have been made.Please Note - Field called Combined in Equivalents.csv and in database has been removed. This field was used for QA purposes. 02/03/18. Some CCGs added to Equivalents table. (09/03/18)

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The database includes a list of 1577 weed plant taxa found in cultivated fields of France and UK, along with basic ecological and biogeographical information.
The database is a CSV file in which the columns are separated with comma, and the decimal sign is ".".
It can be imported in R with the command "tax.discoweed <- read.csv("tax.discoweed_18Dec2017_zenodo.csv", header=T, sep=",", dec=".", stringsAsFactors = F)"

Taxonomic information is based on TaxRef v10 (Gargominy et al. 2016),
- 'taxref10.CD_REF' = code of the accepted name of the taxon in TaxRef,
- 'binome.discoweed' = corresponding latine name,
- 'family' = family name (following APG III),
- 'taxo' = taxonomic rank of the taxon, either 'binome' (species level) or 'infra' (infraspecific level),
- 'binome.discoweed.noinfra' = latine name of the superior taxon at species level (different from 'binome.discoweed' for infrataxa),
- 'taxref10.CD_REF.noinfra' = code of the accepted name of the superior taxon at species level.

The presence of each taxon in one or several of the following data sources is reported:
- Species list from a reference flora (observations in cultivated fields over the long term, without sampling protocol),
* 'jauzein' = national and comprehensive flora in France (Jauzein 1995),
- Species lists from plot-based inventories in cultivated fields,
* 'za' = regional survey in 'Zone Atelier Plaine & Val de Sèvre' in SW France (Gaba et al. 2010),
* 'biovigilance' = national survey of cultivated fields in France (Biovigilance, Fried et al. 2008),
* 'fse' = Farm Scale Evaluations in England and Scotland, UK (Perry, Rothery, Clark et al., 2003),
* 'farmbio' = Farm4Bio survey, farms in south east and south west of England, UK (Holland et al., 2013)
- Reference list of segetal species (species specialist of arable fields),
* 'cambacedes' = reference list in France (Cambacedes et al. 2002)

Life form information is extracted from Julve (2014) and provided in the column 'lifeform'.
The classification follows a simplified Raunkiaer classification (therophyte, hemicryptophyte, geophyte, phanerophyte-chamaephyte and liana). Regularly biannual plants are included in hemicryptophytes, while plants that can be both annual and biannual are assigned to therophytes.

Biogeographic zones are also extracted from Julve (2014) and provided in the column 'biogeo'.
The main categories are 'atlantic', 'circumboreal', 'cosmopolitan, 'Eurasian', 'European', 'holarctic', 'introduced', 'Mediterranean', 'orophyte' and 'subtropical'.
In some cases, a precision is included within brackets after the category name. For instance, 'introduced(North America)' indicates that the taxon is introduced from North America.
In addition, some taxa are local endemics ('Aquitanian', 'Catalan', 'Corsican', 'corso-sard', 'ligure', 'Provencal').
A single taxon is classified 'arctic-alpine'.

Red list status of weed taxa is derived for France and UK:
- 'red.FR' is the status following the assessment of the French National Museum of Natural History (2012),
- 'red.UK' is based on the Red List of vascular plants of Cheffings and Farrell (2005), last updated in 2006.
The categories are coded following the IUCN nomenclature.

A habitat index is provided in column 'module', derived from a network-based analysis of plant communities in open herbaceous vegetation in France (Divgrass database, Violle et al. 2015, Carboni et al. 2016).
The main habitat categories of weeds are coded following the Divgrass classification,
- 1 = Dry calcareous grasslands
- 3 = Mesic grasslands
- 5 = Ruderal and trampled grasslands
- 9 = Mesophilous and nitrophilous fringes (hedgerows, forest edges...)
Taxa belonging to other habitats in Divgrass are coded 99, while the taxa absent from Divgrass have a 'NA' value.

Two indexes of ecological specialization are provided based on the frequency of weed taxa in different habitats of the Divgrass database.
The indexes are network-based metrics proposed by Guimera and Amaral (2005),
- c = coefficient of participation, i.e., the propensity of taxa to be present in diverse habitats, from 0 (specialist, present in a single habitat) to 1 (generalist equally represented in all habitats),
- z = within-module degree, i.e., a standardized measure of the frequency of a taxon in its habitat; it is negatve when the taxon is less frequent than average in this habitat, and positive otherwise; the index scales as a number of standard deviations from the mean.

Updates to Parishes (E04) (name change), Wards (E05) (name change), NMD (E07) (name change), Clinical Commissioning Groups in England (E38), NHS (Region, Local Office) (E39) and NHS England Regions (E40)Updates to Council Areas (S13) and Wards (S13)

50862 United Kingdom exporters importers export import shipment records of Name, Badge to India with prices, volume & current Buyer's suppliers relationships based on actual United Kingdom export trade database.

In 2021, Giant Bikes manufactured by the Taiwanese bicycle manufacturer of the same name, was the most popular bike brand in the UK as indicated by its high monthly average monthly search volume of 43,4000. Trek bikes followed closely as the second most popular bike brand in the country with an average monthly search volume 43,300.

Database containing personal details such as name, age, address of all and recently serving Magistrates in the judiciary covering England and Wales. This database will be amalgamated into the e-HR database to be rolled out in March 2015.

This Special Licence access dataset contains names and addresses from the Integrated Census Microdata (I-CeM) dataset of the censuses of Great Britain for the period 1851 to 1911. These data are made available under Special Licence (SL) access conditions due to commercial sensitivity.

The anonymised main I-CeM database that complements these names and addresses is available under SN 7481. It comprises the Censuses of Great Britain for the period 1851-1911; data are available for England and Wales for 1851-1861 and 1881-1911 (1871 is not currently available for England and Wales) and for Scotland for 1851-1901 (1911 is not currently available for Scotland). The database contains over 180 million individual census records and was digitised and harmonised from the original census enumeration books. It details characteristics for all individuals resident in Great Britain at each of the included Censuses. The original digital data has been coded and standardised; the I-CeM database has consistent geography over time and standardised coding schemes for many census variables.

This dataset of names and addresses for individual census records is organised per country (England and Wales; Scotland) and per census year. Within each data file each census record contains first and last name, street address and an individual identification code (RecID) that allows linking with the corresponding anonymised I-CeM record. The data cannot be used for true linking of individual census records across census years for commercial genealogy purposes nor for any other commercial purposes. The SL arrangements are required to ensure that commercial sensitivity is protected. For information on making an application, see the Access section.

The data were updated in February 2020, with some files redeposited with longer field length limits. Users should note that some name and address fields are truncated due to the limits set by the LDS project that transcribed the original data. No more than 10,000 records out of some 210 million across the study should be affected. Examples include:

• England and Wales:
  • 1851 - truncated at the 24th character (maximum I-CeM field length 95 characters)
  • 1881 - truncated at the 16th character (maximum I-CeM field length 50 characters).
• Scotland: for 1851‐71, truncations affect less than 0.01% of all addresses and for 1851 around 1% at most
  • 1851 - truncated at the 70th character
  • 1861 - truncated at the 76th character
  • 1871 - truncated at the 82th character
  • 1881 - truncated at the 50th character.

Further information about I-CeM can be found on the I-CeM Integrated Microdata Project and I-CeM Guide webpages.