OS Open Names is an OpenData dataset that includes place names, road names and numbers and postcode for Great Britain and includes 2.5 million locations. The OS Open Names locator allows geocoding and searching against postcodes, street names, road numbers and places all in a single locator.

For more information about the OS Open Names dataset visit the following link: https://www.ordnancesurvey.co.uk/business-and-government/products/os-open-names.htmlData currency : January 2022

The Place Names gazetteer contains a geographical index of 336 towns and villages across Northern Ireland. The data was derived from OSNI's 1:250,000 Ireland North mapping. The locations represent the label position on the mapping rather than precise real world position. A gazetteer is a geographical index. The Place Names gazetteer contains a list of 336 towns and villages across Northern Ireland. Published here for Open Data. By download or use of this dataset you agree to abide by the LPS Open Government Data Licence.Please Note for Open Data NI Users: Esri Rest API is not Broken, it will not open on its own in a Web Browser but can be copied and used in Desktop and Webmaps

A comprehensive dataset of place names, roads numbers and postcodes for Great Britain.

Accurate locations Let your customer-facing staff find places quickly when talking to callers. OS Open Names provides the accurate locations of streets and postcodes in Great Britain.

Place name data Quickly look up places and roads with two names. OS Open Names contains place name data in English and their Welsh, Scots or Gaelic alternatives.

Simple licensing Save money and benefit from simple licensing terms. OS Open Names is free to view, download and use for commercial, education and personal purposes.

NWT Place Names Database

Context

Cultural diversity in the U.S. has led to great variations in names and naming traditions and names have been used to express creativity, personality, cultural identity, and values. Source: https://en.wikipedia.org/wiki/Naming_in_the_United_States

Content

This public dataset was created by the Social Security Administration and contains all names from Social Security card applications for births that occurred in the United States after 1879. Note that many people born before 1937 never applied for a Social Security card, so their names are not included in this data. For others who did apply, records may not show the place of birth, and again their names are not included in the data.

All data are from a 100% sample of records on Social Security card applications as of the end of February 2015. To safeguard privacy, the Social Security Administration restricts names to those with at least 5 occurrences.

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Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:usa_names

https://cloud.google.com/bigquery/public-data/usa-names

Dataset Source: Data.gov. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source — http://www.data.gov/privacy-policy#data_policy — and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Banner Photo by @dcp from Unplash.

Inspiration

What are the most common names?

What are the most common female names?

Are there more female or male names?

Female names by a wide margin?

Popular Baby Names by Sex and Ethnic Group Data were collected through civil birth registration. Each record represents the ranking of a baby name in the order of frequency. Data can be used to represent the popularity of a name. Caution should be used when assessing the rank of a baby name if the frequency count is close to 10; the ranking may vary year to year.

With OS Names API, you’ll have access to a straightforward, rapid lookup service: drilling down into the details we hold in our OS Open Names dataset. The API uses the OS Open Names dataset, a gazetteer or directory hosting detailed information about 2.5 million identifiable places in Great Britain including postcodes, roads and settlements. A free, searchable, reliable database to help you find and verify populated places, road names, road numbers and postcodes. OS Names API is a reliable way of supporting the discovery or identification and visualisation of a named place; geocoding; routing and navigation, and linking diverse information such as statistics or descriptions. OS Names can locate a feature using just its name, or it can find the closest location to a given point.

Most baby popular names per year from 2020-2024

This is the list of approved place names as per the Queensland Place Names Act 1994. Under the Act, all approved place names are to be recorded in the Gazetteer. The gazetteer is extracted from the place names database where each place name is represented as a point of latitude and longitude. Additional information on Place Names can be found at http://www.qld.gov.au/environment/land/place-names/

Most frequent baby names stats Data and Resources أسماء المواليد الاكثر تكرار حسب الجنس لعام (2020)PDF أسماء المواليد الاكثر تكرار حسب الجنس لعام (2020) Explore More information Download

🇬🇧 영국 English The Place Names gazetteer contains a geographical index of 336 towns and villages across Northern Ireland. The data was derived from OSNI's 1:250,000 Ireland North mapping. The locations represent the label position on the mapping rather than precise real world position. A gazetteer is a geographical index. The Place Names gazetteer contains a list of 336 towns and villages across Northern Ireland. Published here for Open Data. By download or use of this dataset you agree to abide by the LPS Open Government Data Licence.

The Atlas of Canada National Scale Data 1:5,000,000 Series consists of boundary, coast, island, place name, railway, river, road, road ferry and waterbody data sets that were compiled to be used for atlas medium scale (1:5,000,000 to 1:15,000,000) mapping. These data sets have been integrated so that their relative positions are cartographically correct. Any data outside of Canada included in the data sets is strictly to complete the context of the data.

OS Open Names is a geographic directory that contains basic information about identifiable places (Named Place). The content of the Product is divided into themes based on their type and local type classification values. The primary use of the product is to provide the location for a named place to support discovery or identification and visualisation, geocoding, routing and navigation and linking diverse information about a place (for example, statistics or descriptions). The name of the place will be the key property used for querying. It is also recognised that a place may have multiple names; an official name, which may be defined in multiple languages (English/Welsh or English/Gaelic), for example, Cardiff (English) and Caerdydd (Welsh). Names are not unique so additional location information is provided to enable users to refine their query to select the Named Place they are interested in. These include: postcode district, populated place, district/borough, county/unitary authority, European region and country. The OS Open Names specification will extend the Infrastructure for Spatial Information in the European Community (INSPIRE) Geographical Names theme to ensure that it is compliant with European open data initiatives.

This data set includes names, designations, and discovery circumstances for the numbered asteroids, sorted in order of number. This data set supercedes past versions of both the ASTNAMES and DISCOVER asteroid data sets. It represents an extension of a file originally prepared by Pilcher (1979) [PILCHER1979] for the Tucson Revised Index of Asteroid Data (TRIAD) and updated in Pilcher (1989) [PILCHER1989] for the Asteroids II database. The data for asteroids numbered 4045 and greater were either provided by the Minor Planet Center or extracted from the Minor Planet Circulars, which are published by the Minor Planet Center on behalf of Commission 20 of the International Astronomical Union. In some cases, an institution or survey is credited with the discovery rather than an individual. No attempt has been made to correct the inconsistencies in the presentation of names (that is, some names are given with initials and some are not), or in the way locations are specified (for example, Pilcher distinguishes between the Lowell Observatory and Anderson Mesa locations in Flagstaff).

The collection of geolocated placenames in Canada represents a consistent and comprehensive distribution of named places across Canada. Named places include large and small cities, villages, First Nations Communities, Small Hamlets etc. This data draws from public information maintained by Natural Resources Canada as part of the Canadian Geographical Names Database and public information maintained by Crown-Indigenous Relations and Northern Affairs Canada. The set of geolocated placenames is currently used for the administration of rural broadband Internet contribution programs, but is equally applicable for other mapping or modelling purposes where a comprehensive set of geolocated placenames across Canada is required.

This dataset contains the Camden, Barnet, Brent, City of London, City of Westminster, Haringey and Islington extract of the OS Open Names dataset.

This table of street names is based on the street directory maintained by the Department of Public Works & Parks (DPW&P) of the City of Worcester, MA. For labeling purposes, the unique name identifier, Street Name ID (NEW_NM_ID), corresponds with appropriate road centerline segments in the separate Street Centerlines dataset. To view the Street Directory visit the City of Worcester Street Directory.Informing Worcester is the City of Worcester's open data portal where interested parties can obtain public information at no cost.

The Digital City Map (DCM) data represents street lines and other features shown on the City Map, which is the official street map of the City of New York. The City Map consists of 5 different sets of maps, one for each borough, totaling over 8000 individual paper maps. The DCM datasets were created in an ongoing effort to digitize official street records and bring them together with other street information to make them easily accessible to the public. The Digital City Map (DCM) is comprised of seven datasets; Digital City Map, Street Center Line, City Map Alterations, Arterial Highways and Major Streets, Street Name Changes (areas), Street Name Changes (lines), and Street Name Changes (points).

All of the Digital City Map (DCM) datasets are featured on the Streets App

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

Updates for this dataset, along with other multilayered maps on NYC Open Data, are temporarily paused while they are moved to a new mapping format. Please visit https://www.nyc.gov/site/planning/data-maps/open-data/dwn-digital-city-map.page to utilize this data in the meantime.

This data set includes names, designations, and discovery circumstances for the numbered asteroids, sorted in order of catalog number.

Place-names represent a fundamental geographical identifier, which also have considerable cultural, historical and linguistic importance. Scotland had a great tradition of publishing descriptive (long-form) gazetteers in the 19th century. This dataset is the GIS point format output from a project funded by the Scottish Government in the early 2010s, to create a Definitive Place-Name Gazetteer for Scotland, which helped meet the INSPIRE requirements for a place-name layer. The data also forms the underlying content for the Gazetteer for Scotland web pages: https://www.scottish-places.info/ In 2009 a workshop was run in conjunction with the Royal Commission on the Ancient and Historic Monuments of Scotland (RCAHMS) to examine the range of gazetteers in use in Scotland, together with a broad set of requirements. This identified a number of organisations which hold or maintain at least 15 different gazetteers that include geographical names for Scotland. The two most significant gazetteers were the Gazetteer for Scotland and the Ordnance Survey 1:50000 (OS 1:50K) product - which together form the basis for this dataset. The Gazetteer for Scotland is a descriptive gazetteer, with a modest number (22,000) of rich entries, including a textual description and rich feature-typing. At the time of creation, the OS 1:50K gazetteer had long been Ordnance Survey's only place-name gazetteer, used as part of numerous applications. It was decided that, for this new 'definitive' place name gazetteer, any named feature could/ should potentially be included, but it was accepted that the list will always be incomplete. This dataset could be used (and potentially linked with) other datasets like the Ordnance Survey Open Names, the One Scotland Gazetteer and the Historical Names gazetteer. The methodology for this data was a combination of automated and manual editing. Automated methods were used in feature classification and duplicate detection. Manual editing was required both to confirm or provide a feature classification, but also to improve the spatial referencing. Standards had to be adopted; for example water bodies were spatially located by a point which approximated its centre, while rivers were spatially located at their termination and other liner features by a random point along their length. The former gives a useful spatial reference, the latter in many cases does not. Quality checking suggests that 95% of points were located to 100m or better, and 5% located to 20m or better. More than 90% of features are classified correctly, on the basis of the evidence available. Copyrights and acknowledgments. The dataset is (c) Bruce M. Gittings (University of Edinburgh) and the Scottish Government. This dataset contains Ordnance Survey data (c) Crown copyright and database right 2010, released by The Secretary of State for Communities and Local Government, April 2010.