This dataset is a catalogue of seal images that were collected as part of the former Countryside Council for Wales (CCW) and Natural Resources Wales' (NRW) seal monitoring and evidence work. Images were also provided by volunteers, partners, organisations and members of the public through collaboration with CCW/NRW. The images are of heads, necks and flanks of grey seals (mostly female) photographed at seal haul out sites around the Celtic and Irish Seas from 1992 to 2016 and show the pelage markings of seals that can be individually recognised/identified from subsequent photographic encounters – photo-identification (Capture, Mark, Recapture). The database contains over 17,000 photographic images of more than 9,000 grey seals. Photo-ID allows individual seals to be captu red through time and space and analyses of the data provide insights into site fidelity and associations, movements and connectivity, and longevity/survival.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Wales by race. It includes the distribution of the Non-Hispanic population of Wales across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Wales across relevant racial categories.

Key observations

Of the Non-Hispanic population in Wales, the largest racial group is White alone with a population of 2,745 (96.32% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Wales
• Population: The population of the racial category (for Non-Hispanic) in the Wales is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Wales total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Wales Population by Race & Ethnicity. You can refer the same here

This statistical bulletin presents separate profiles for each of the six areas identified in the Wales Spatial Plan, summarising the key features of each area from a statistical perspective.

Source agency: Welsh Government

Designation: National Statistics

Language: English

Alternative title: Data for the Areas Identified in the Wales Spatial Plan

The CVSP data flow was discontinued in November 2024.

The Chief Medical Officer (CMO) for England, working with the CMOs of the devolved nations and other senior clinicians, commissioned NHS Digital to produce a list of people at “high risk” of complications from COVID-19, who should be shielded for at least 12 weeks. The CMO for Wales commissioned a collaboration of national bodies in Wales (NWIS, DU, NWSSP, PHW) to identify “high risk” people for the Welsh population, based largely on the NHS Digital methodology. This list is referred to as the Shielded Patient List (SPL).

The “high risk” list was defined as a subset of a wider group of people who may be “at risk”. Specific advice applies to these groups, currently this advice is: • “At Risk” – large group normally at risk from the flu - should practice strict social distancing • “At high risk” – a smaller sub-group (circa 70k), defined by CMO – should practice complete social “shielding” NHS Digital have described the methodology that has been used to identify patients who meet the high risk criteria due to their inclusion in one or more of the disease groups.

As there are differences in some of the systems used across the devolved nations, nuanced differences in application and interpretation of CMO guidance, this document describes the Welsh methodology.

https://nwis.nhs.wales/coronavirus/coronavirus-content/coronavirus-documents/covid-19-high-risk-shielded-patient-list-identification-methodology/

Dataset received it's final update in March 2022

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Feature Names Relationship File contains a record for each feature name and any attributes associated with it. Each feature name can be linked to the corresponding edges that make up that feature in the All Lines shapefile (edges.shp), where applicable to the corresponding address range or ranges in the Address Range Relationship File (addr.dbf), or to both files. Although this file includes feature names for all linear features, not just road features, the primary purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute, which can be used to link to the Address Range Relationship File (addr.dbf). The linear feature is identified by the linear feature identifier (LINEARID) attribute, which can be used to relate the address range back to the name attributes of the feature in the Feature Names Relationship File or to the feature record in the Primary Roads, Primary and Secondary Roads, or All Roads shapefiles. The edge to which a feature name applies can be determined by linking the feature name record to the All Lines shapefile (edges.shp) using the permanent edge identifier (TLID) attribute. The address range identifier(s) (ARID) for a specific linear feature can be found by using the linear feature identifier (LINEARID) from the Feature Names Relationship File through the Address Range/Feature Name Relationship File (addrfn.dbf).

About this dataset

Context

The dataset tabulates the population of North Wales by race. It includes the population of North Wales across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of North Wales across relevant racial categories.

Key observations

The percent distribution of North Wales population by race (across all racial categories recognized by the U.S. Census Bureau): 84.16% are white, 0.29% are Black or African American, 1.84% are Asian, 2.81% are some other race and 10.90% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the North Wales
• Population: The population of the racial category (excluding ethnicity) in the North Wales is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of North Wales total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for North Wales Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Wales town by race. It includes the population of Wales town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Wales town across relevant racial categories.

Key observations

The percent distribution of Wales town population by race (across all racial categories recognized by the U.S. Census Bureau): 96.34% are white, 0.43% are Black or African American, 0.50% are some other race and 2.73% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Wales town
• Population: The population of the racial category (excluding ethnicity) in the Wales town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Wales town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Wales town Population by Race & Ethnicity. You can refer the same here

This is the dataset for the paper "Reasons to learn a minoritised language: the case of migrant new speakers of Welsh in Cardiff, Wales” accepted for publication" in Language, Culture and Curriculum. The dataset contains 10 de-identified interview transcripts and dairies related to participants' reasons to learn Welsh and everyday experiences of using and practising the language. Pseudonyms are used in the dataset.

The dataset currently contains (1) a table of time periods (defined with start and end dates) during which a patient had any diagnosis of asthma; (2) and table of time periods for asthma severity level (based on prescriptions), asthma exacerbations, asthma-related hospital episodes, and asthma control; and (3) a table for other asthma-related data represented as events (e.g., lung function, blood tests, and A&E visit).

Includes an e-cohort of most people with a history of asthma in Wales, derived from the SAIL Databank's core datasets. Individuals are identified from the Welsh Longitudinal General Practice (WLGP) using several case definitions (e.g., having ever GP asthma diagnosis, asthma treatment in the last 12 months, or both). Data for each patient include essential research-ready asthma-related variables derived from primary and secondary care data, such as asthma treatment step, asthma severity, asthma exacerbations, and asthma-related death. The case definitions and some clinical variables are represented as clinical states. Additional case definitions and variables are actively being added. The WAO dataset is intended to support a wide range of cross-sectional and longitudinal epidemiological asthma studies as well as asthma surveillance, service planning, and health policy.

In 2019/20, a survey conducted in Wales found that around ** percent of women and ** percent reported to have suffered from allergies in the previous 12 months. Moreover, in this period approximately ** percent of men and ** percent of women in Wales had high blood pressure.

In order to better understand opportunities to build resilience in the Welsh marine environment, a report was commissioned by Natural Resources Wales to identify potential spatial opportunities to restore valuable marine habitats. The report created spatial products (Arc Geo database) for: areas in the floodplain that might be suitable for the creation of mudflat and saltmarsh through managed realignment and areas where the right conditions might exist for native oyster habitat and horse mussel bed restoration. The horse mussel data was provided from JNCC. The report also addresses restoration potential for Sabellaria alveolata reefs although no spatial data was created for this habitat and seagrass habitat although this was provided as a map image from JNCC. These spatial Data layers should be considered as initial aides to identifying potential locations or areas but come with several limitations which have been discussed in the report. Any restoration projects should undergo further site validation and local engagement before proceeding with any specific site. The following GIS datasets were created for this: Saltmarsh_Mudflat_Opportunities_Opportunities_Floodplains_SMPpolicy Native_Oyster_Opportunities Wave_Height_Grid_ABPmerSeastates Current_Speed_Grid_ABPmerSeastates Historic_Saltmarsh_Extents S_alveolata_records_historic_and_current O_edulis_records_historic_and_current M_modiolus_records_historic_and_current Potential_Beneficial_Use_Sources

The information presented here covers the condition of residential properties, including Houses in Multiple Occupation (HMOs), assessed by local authorities under the Housing Health and Safety Rating System (HHSRS). The HHSRS is used to determine whether residential premises are safe to live in. It replaced the Fitness Standard in July 2006. Local authorities use the System to determine whether a hazard exists that may cause harm to the health and safety of a potential occupant. Hazards are divided into two categories. Those which score high on the scale (and therefore the greatest risk) are called Category 1 hazards. Those that fall lower down the scale and pose a lesser risk are called Category 2 hazards. Where a condition is classified as a Category 1 hazard the local authority has a duty to take the appropriate enforcement action. If it poses a Category 2 hazard the local authority may take enforcement action.

We examine the emotional bases of Welsh identities in relation to social action and political participation. The role of group emotion has been neglected in social identity research on nationality. We investigate the importance of emotion as a product of identity and context, as a mediator of social action, and as a basis for collective identity definition itself. Our aim is to assess how Welsh identity is defined, examine its emotional bases, and investigate how this orients people to different political projects, including assimilation with England, devolution, and independence. Key findings: (1) While the Welsh language clearly plays an important role in national identity in Wales, there is also variation in how and why it is important. (2) For Welsh speakers, these relate to strategic concerns about the relationship between Wales and England, and have consequences for how non-Welsh speakers are positioned within the national category. (3) For non-Welsh speakers, orientations to the Welsh language relate more to their need to define or claim their own place within the national category. (4) Welsh language ability in turn has the potential to impact on support for political action – such as Welsh national autonomy – through its influence on one’s sense of national identity. (5) These effects are accentuated in contexts where the Welsh language is more prominent. In such contexts, not speaking Welsh can increase one’s identification as English, as well as undermining Welsh identification. (5) Emotions such as anger play an important role in explaining how perceived threats to identity, coupled with a sense of historical illegitimacy, create conditions under which more radical strategies (e.g., an arson campaign) are considered. (6) As well as being shaped by social identities, the nature and sharedness of others’ emotional reactions also help to shape the identities that emerge as a basis for action. This project examines the emotional bases of Welsh identities in relation to social action and political participation. The Welsh context is ripe for a study of national identity. There is no clear consensus concerning the issue of independence among the Welsh and the range of views is broad and dynamic. A critical feature of Welsh identity is the Welsh language, which provides a marker of national identity that is also a way of differentiating and even excluding the English. The Welsh context therefore provides an arena in which theoretical debates about national identity and its contested nature can be considered. We apply a social identity approach that takes into account the emotional aspects of identity to help us understand social action. The research is planned in three related phases: 1) interviews and survey, 2) field experiments, and 3) laboratory experiments. The initial phase will gather evidence concerning the different identity groupings, and the nature of their associated identity projects. In the second phase we address the flexibility of Welsh identity and investigate the ways in which emotions, identity salience, and identity conflicts vary as a function of comparative context and audience, and how people define their Welsh identity. Data collection methods included face-to-face interviews, questionnaire-based surveys (hard-copy and web-based), telephone interviews, and lab-based experiments. Participants were adults recruited in Wales. A total of 1685 were recruited.

The purpose of this data capture was to understand the distribution of species in Wales in order to inform conservation decisions. Collation of around 500,000 invertebrate occurrence records, most of which relate to Wales. This is the primary database used by Natural Resources Wales; incorporates other major invertebrate datasets. Includes terrestrial, freshwater and coastal airbreathing invertebrates but not marine species. The database also contains records of associated taxa and incidental records of other species, including alga, vascular plants, amphibians, mammals, birds, fungi, reptiles and bryophytes. Records have been derived from a wide variety of sources, including publications, records provided by schemes and societies, records created by Countryside Council for Wales and Natural Resources Wales staff as part of their normal work, records provided by amateur recorders, other inventories, results from structured surveys or monitoring projects etc. There are over 5,000 different recorders listed in the database. This dataset superseded the UK Invertebrate Site Register (UK ISR) in 1991/2, however, UK ISR data for Wales was incorporated into, and used as a basis for the WID. Other significant surveys which have been incorporated into the WID include Welsh Peatland Invertebrate Survey (WPIS) and the Welsh Parkland Invertebrate Survey amongst others. Significant subsets have been derived from WID for specific purposes e.g. Welsh Marsh Fritillaries, UK Biodiversity Action Plan (BAP) invertebrate data for Wales, Invertebrates on National Nature Reserves. Data accuracy is reliant on original sources. However, data has been transcribed by experienced invertebrate biologists in order to research incomplete records and minimise errors. Any uncertainties about a particular record, are noted in the database, and removed from the published records on the NBN Atlas. The database is constantly updated, and updated biannually on the NBN Atlas. Any records where there is not enough information to be fully verified are identified and these are not disseminated to external sources.

According to the census of 2021, approximately ******* people aged 16 or over in England and Wales identified with a gay or lesbian sexual orientation, approximately **** percent of the population. A further ******* people identified as being bisexual, or **** percent of the population. In the same census there were ******* who identified as being pansexual, ****** as asexual, ****** as queer, and ****** as another sexual orientation.

Statistics on the levels and trends in detections and detection rates in England and Wales Source agency: Home Office Designation: National Statistics Language: English Alternative title: Detections

ObjectivesThe study aimed to assess if specialised healthcare service interventions in Wales benefit the population equitably in work commissioned by the Welsh Health Specialised Services Committee (WHSSC).ApproachThe study utilised anonymised individual-level, population-scale, routinely collected electronic health record (EHR) data held in the Secure Anonymised Information Linkage (SAIL) Databank to identify patients resident in Wales receiving specialist cardiac interventions. Measurement was undertaken of associated patient outcomes 2-years before and after the intervention (minus a 6-month clearance period on either side) by measuring events in primary care, hospital attendance, outpatient and emergency department. The analysis controlled for comorbidity (Charlson) and deprivation (Welsh Index of Multiple Deprivation), stratified by admission type (elective or emergency) and membership of top 5% post-intervention costs. Costs were estimated by multiplying events by mean person cost estimates.ResultsWe identified 5,999 percutaneous coronary interventions (PCI) and 1,640 coronary artery bypass graft (CABG) between 2014-06-01 to 2020-02-29. The ratio of emergency to elective interventions was 2.85 for PCI and 1.04 for CABG. In multivariate analysis significant associations were identified for comorbidity (OR = 1.52, CI = (1.01–2.27)), deprivation (OR = 1.34, CI = (1.03–1.76)) and rurality (OR = 0.81, CI = (0.70–0.95)) for PCI interventions, and comorbidity (OR = 1.47, CI = (1.10–1.98)) for CABG. Higher costs post-intervention were associated with increased comorbidity for PCI and CABG in the top 5% cost groups, but for PCI this was not seen outside the top 5%. For PCI, moderate cost increase was associated with increased deprivation, but the picture was more mixed following CABG interventions. For both interventions, lower costs post intervention were seen in rural locations.ConclusionWe identified and compared health outcomes for selected specialist cardiac interventions amongst patients resident in Wales, with these methods and analyses, providing a template for comparing other cardiac interventions.

The UK is committed through international agreements and European obligations to the establishment of an ecologically coherent network of Marine Protected Areas (MPAs) to conserve marine ecosystems and biodiversity. The identification of areas of high biodiversity may be helpful for planning both Marine Protected Areas and for Marine Spatial Planning and can contribute to an ecosystem-based approach to the management of our seas. Furthermore, identifying which areas are most important for biodiversity not only yields benefits for the maintenance of ecosystem structure and functioning but can also enable cost effective prioritisation of areas for marine protection.

Each data layer produced in relation to this project has its own metadata entry. The main objective of the project is to provide maps indicating different levels of biodiversity in Welsh waters (including the intertidal). The data covers the Welsh coastline from mean high water to 12 nautical miles offshore.

Abstract copyright UK Data Service and data collection copyright owner. The aims of the project were as follows : to collect and process information from the data relating to the Welsh language in the 1891 Census Enumerators' Returns in 20 selected communities in Wales; to create computer-readable data files on the language ability of around 90,000 individuals, i.e. five per cent of the population; to undertake a quantitative analysis of the socio-economic structure of Welsh/English language ability on the basis of the above data; to develop a classification of occupations in order to explore links between economic activity and the process of language change; to write a volume on the basis of the above in order to deepen our socio-cultural understanding of a society in which nearly a million people spoke Welsh and over half a million were monoglot Welsh. Main Topics: The dataset contains 35 files, each of which consists of a 100 per cent sample of the enumeration district in twenty communities selected from the 178 sub-registration districts in Wales, i.e. 90,000 individuals or five per cent of the total population of wales in 1891. Two specific datafiles were created for each district. Variables in the first file identify : the individual person, enumeration district, schedule number, first name, surname, relation to head of household, marital status, gender, age, occupation, employment status, occupation code, country/county of birth, birthplace and language spoken. Variables in the second file identify : the enumeration district, schedule number, whether a Welsh-language schedule was used, number of persons in the household, number of rooms and address. Purposive selection/case studies Transcription of existing materials transcribed from the Census Enumerators' Returns for 1891

This data collation is made up of two datasets showing tranquil areas across Wales for 1997 and 2009. A map of the land of Wales, graded to show levels of Tranquillity. It results from combining several underlying layers of data, covering different factors that either contribute to tranquillity or detract from tranquillity. Produced to provide a strategic baseline for monitoring change in tranquillity in Wales to inform strategic planning and policy-making. Tranquillity is an aspect of the Welsh Government's Noise Action Plan (in response to the European Noise Directive) and is one of the qualitative measures of natural resources benefits provided by landscapes, as used in SoNaRR 2016. An accompanying technical report details the methodology used and provides map images of underlying data layers and the resulting Tranquil Areas Map. Caveats: 1. The resolution of some layers that informed the map were coarse, meaning that those parts of the data are unsuitable for using at a detailed scale. 2. Tranquillity was not formally defined in the accompanying technical report. Welsh Government has more recently defined the term and Natural Resources Wales adopted this definition for SoNaRR 2016. Tranquillity is is an untroubled state, which is peaceful, calm and free from unwanted disturbances. This can refer to a state of mind or a particular environment. The 2009 dataset repeats more or less the same methodology used for a similar study in 1997. This allows change over time to be reported. Other projects in other parts of the UK using data at better resolution and with more sophisticated analysis means that the Wales 1997 and 2009 studies are regarded as crude. However to date the 2009 study is the most recent Tranquil Areas map available for Wales.