Ireland recorded 8905 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Ireland reported 1711233 Coronavirus Cases. This dataset includes a chart with historical data for Ireland Coronavirus Deaths.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.

Please see FAQ for latest information on COVID-19 Data Hub data flows: https://covid-19.geohive.ie/pages/helpfaqsNotice:Due to the surge of cases over the Christmas period 2021, and increased processing times, updates of the Local Electoral Area (LEA) data were paused. Updates of the LEA map of the most recent 14-day period resumed on 17th February 2022 (cases up to midnight 14th February 2022). This data includes confirmed cases (PCR) only and does not include positive antigen results uploaded to the HSE portal.From the week of 30th May 2022 LEA data will no longer be updated.Please refer to the FAQ page for more information.14 Day Incidence of confirmed COVID-19 cases by LEA.This hosted feature view provides a visualisation of the 14 Day Incidence rate per 100k population of COVID-19 cases at the Local Electoral Area (LEA) level across Ireland. In total, there are 166 LEA's across Ireland.Please note: For confidentiality reasons, following consultation with the CSO, all LEA's with values below 5 have been suppressed to 'Less than 5'. Where a rate per 100k is set to 'Less than 5' it means that the LEA has a 14 Day incidence below 5 and its value has been suppressed to show 'Less than 5'. This is not an indication of zero (0) confirmed cases. For a proportion of notified COVID-19 cases, their location on the map may reflect their place of work rather than their home address. Confirmed cases have been geo-coded and allocated to Local Electoral Areas (LEA's) by the Health Intelligence Unit (HIU) at the HSE.This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Tailte Éireann, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland's COVID-19 Data Hub are built using the GeoHive platform, Ireland's Geospatial Data Hub.

Datasets in this publication report the number of diagnoses with coronavirus disease (COVID-19) as reported by the Department of Health in Ireland. This includes new cases diagnosed per day and cumulative cases, hospitalisations, ICU admissions, deaths, number of healthcare workers, number of clusters, gender of cases, age groups of cases, mode of transmission, age groups of those hospitalised, and cases per county. To aid standardisation of age groups and cases per county, the population estimates by age group for 2019 and the actual county population in the 2016 Census from Ireland's Central Statistics Office are also included as separate datasets, to allow expression of cases per million population.

These are

1. YYYYMMDD_covid_ie_cases_analysis.csv, where data from Ireland's Health Protection Surveillance Centre is included up to midnight on the date YYYYMMDD.
2. age_population_cso_2019.csv
3. counties_population_cso_2016.csv

Older datasets are also included as follows.

For the files YYYYMMDD_covid_ie_age_groups.csv, variable descriptions are as follows:

• age_group: Age groups, in years
• cases: Total cases of COVID-19 diagnosed in Ireland by age group, as per the Department of Health
• pop_estimate: National population estimates by age group for 2019 in Ireland, as per the Central Statistics Office (Table 7 https://www.cso.ie/en/releasesandpublications/er/pme/populationandmigrationestimatesapril2019/), expressed in thousands.
• cases_per_million: Cases of COVID-19 diagnosed in Ireland by age group, expressed per 1 million individuals

For the files YYYYMMDD_covid_ie_daily_cases, variable descriptions are as follows:

• date: Date, in DD-MM-YYYY format
• daily_cases: New cases of COVID-19 diagnosed per day in Ireland, as per the Department of Health (https://www.gov.ie/en/news/7e0924-latest-updates-on-covid-19-coronavirus/)
• cumulative_cases: Cumulative number of COVID-19 cases in Ireland
• percent_daily_increase: New cases of COVID-19 diagnosed per day in Ireland as a percentage of cumulative number of cases up to that date.

Please see FAQ for latest information on COVID-19 Data Hub Data Flows: https://covid-19.geohive.ie/pages/helpfaqs. Notice: Please note that data for the 30th of May 2023 is missing from this dataset.If you are downloading this data set as a CSV please follow these steps to sort the dataset by date.1. Click the 'Download' button.2. In the download pane that opens on the left, click the 'Download' button under CSV. This should be the first option.3. Open the file.4. Highlight column D by click 'D'.5. In the ribbon, in the Editing group click 'Sort & Filter'.6. From the drop down menu that appears select the first option to sort from oldest to newest.7. In the pop-up window that appears make sure that 'Expand the selection' is selected.8. Click 'Sort', the dataset will now be sorted by date. See the section What impact has the cyber-attack of May 2021 on the HSE IT systems had on reporting of COVID-19 data on the Data Hub? in the FAQ for information about issues in data from May 2021. Between 14th May 2021 and 29th July 2021 only the fields 'Number of confirmed COVID-19 cases Admitted on site' (SUM_number_of_confirmed_covid_19_ca) and 'Number of new COVID-19 cases confirmed in the past 24 hrs' (SUM_number_of_new_covid_19_cases_co) in this service were updated.The fields 'Number of New Admissions COVID-19 Positive previous 24hrs' (SUM_no_new_admissions_covid19_p) and 'Number of Discharges COVID-19 Positive previous 24hrs' (SUM_no_discharges_covid19_posit) have no data during this period of time. Detailed dataset containing a range of COVID-19 related indicators for Acute Hospitals in Ireland. Data is provided for Confirmed COVID-19 cases and the number of new admissions and discharges. Data is based on an aggregate of 29 Acute Hospitals. Data has been provided by the HSE Performance Management Improvement Unit (PMIU).This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Tailte Éireann, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland's COVID-19 Data Hub are built using the GeoHive platform, Ireland's Geospatial Data Hub.

Please see FAQ for latest information on COVID-19 Data Hub Data Flows: https://covid-19.geohive.ie/pages/helpfaqs. Notice: See the section What impact has the cyber-attack of May 2021 on the HSE IT systems had on reporting of COVID-19 data on the Data Hub? in the FAQ for information about issues in data from May 2021. Due to the ongoing disruption to the HSE IT systems, until further notice the updates for this Open Data service will be provided once daily. These fields are 'nCovidConf' (ncovidconf), 'nDischCovidConf' (ndischcovidconf) and 'nAdmitCovidConf' (adcconf). Dataset on COVID-19 patients in Intensive Care Units in Ireland. Data is provided for Confirmed COVID-19 cases and the number of new admissions and discharges. Data is based on an aggregate of all public and private ICU/HDU hospitals (including surge units). Data has been provided by the National Office of Clinical Audit (NOCA) ICU Bed Information System (ICU-BIS).This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Tailte Éireann, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland's COVID-19 Data Hub are built using the GeoHive platform, Ireland's Geospatial Data Hub.

Abstract copyright UK Data Service and data collection copyright owner.

Background
The Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The Annual Population Survey, also held at the UK Data Archive, is derived from the LFS.

The LFS was first conducted biennially from 1973-1983, then annually between 1984 and 1991, comprising a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter. From 1992 it moved to a quarterly cycle with a sample size approximately equivalent to that of the previous annual data. Northern Ireland was also included in the survey from December 1994. Further information on the background to the QLFS may be found in the documentation.

The UK Data Service also holds a Secure Access version of the QLFS (see below); household datasets; two-quarter and five-quarter longitudinal datasets; LFS datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.

LFS Documentation
The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned (the latest questionnaire available covers July-September 2022). Volumes are updated periodically, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.

LFS response to COVID-19

From April 2020 to May 2022, additional non-calendar quarter LFS microdata were made available to cover the pandemic period. The first additional microdata to be released covered February to April 2020 and the final non-calendar dataset covered March-May 2022. Publication then returned to calendar quarters only. Within the additional non-calendar COVID-19 quarters, pseudonymised variables Casenop and Hserialp may contain a significant number of missing cases (set as -9). These variables may not be available in full for the additional COVID-19 datasets until the next standard calendar quarter is produced. The income weight variable, PIWT, is not available in the non-calendar quarters, although the person weight (PWT) is included. Please consult the documentation for full details.

Occupation data for 2021 and 2022 data files

The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.

2024 Reweighting

In February 2024, reweighted person-level data from July-September 2022 onwards were released. Up to July-September 2023, only the person weight was updated (PWT23); the income weight remains at 2022 (PIWT22). The 2023 income weight (PIWT23) was included from the October-December 2023 quarter. Users are encouraged to read the ONS methodological note of 5 February, Impact of reweighting on Labour Force Survey key indicators: 2024, which includes important information on the 2024 reweighting exercise.

End User Licence and Secure Access QLFS data

Two versions of the QLFS are available from UKDS. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes country and Government Office Region geography, 3-digit Standard Occupational Classification (SOC) and 3-digit industry group for main, second and last job (from July-September 2015, 4-digit industry class is available for main job only).

The Secure Access version contains more detailed variables relating to:

• age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child
• family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family
• nationality and country of origin
• finer detail...

Dataset on COVID-19 patients in Intensive Care Units in Ireland. Data is provided for Confirmed COVID-19 cases and the number of new admissions and discharges. Data is based on an aggregate of all public and private ICU/HDU hospitals (including surge units). Data has been provided by the National Office of Clinical Audit (NOCA) ICU Bed Information System (ICU-BIS). This service is used in Ireland’s COVID-19 Data Hub, produced as a collaboration between Lands Ireland, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland’s COVID-19 Data Hub are built using the GeoHive platform, Ireland’s Geospatial Data Hub.

Occupation data for 2021 and 2022 data files

The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022" style="background-color: rgb(255, 255, 255);">Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.

Latest edition information

For the fourth edition (September 2023), the variables NSECM20, NSECMJ20, SC2010M, SC20SMJ, SC20SMN and SOC20M have been replaced with new versions. Further information on the SOC revisions can be found in the ONS article published on 11 July 2023: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022" style="background-color: rgb(255, 255, 255);">Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.

This dataset provides a list of surnames that are reliably Irish and that can be used for identifying textual references to Irish individuals in the London area and surrounding countryside within striking distance of the capital. This classification of the Irish necessarily includes the Irish-born and their descendants. The dataset has been validated for use on records up to the middle of the nineteenth century, and should only be used in cases in which a few mis-classifications of individuals would not undermine the results of the work, such as large-scale analyses. These data were created through an analysis of the 1841 Census of England and Wales, and validated against the Middlesex Criminal Registers (National Archives HO 26) and the Vagrant Lives Dataset (Crymble, Adam et al. (2014). Vagrant Lives: 14,789 Vagrants Processed by Middlesex County, 1777-1786. Zenodo. 10.5281/zenodo.13103). The sample was derived from the records of the Hundred of Ossulstone, which included much of rural and urban Middlesex, excluding the City of London and Westminster. The analysis was based upon a study of 278,949 adult males. Full details of the methodology for how this dataset was created can be found in the following article, and anyone intending to use this dataset for scholarly research is strongly encouraged to read it so that they understand the strengths and limits of this resource:

Adam Crymble, 'A Comparative Approach to Identifying the Irish in Long Eighteenth Century London', _Historical Methods: A Journal of Quantitative and Interdisciplinary History_, vol. 48, no. 3 (2015): 141-152.

The data here provided includes all 283 names listed in Appendix I of the above paper, but also an additional 209 spelling variations of those root surnames, for a total of 492 names.

Abstract: This data shows the extent of land that might be flooded by the sea (coastal flooding) and the associated flood depths during a theoretical or ‘design’ flood event with an estimated probability of occurrence, rather than information for actual floods that have occurred in the past. This represents the worst case scenario as any flood defences potentially protecting the coastal floodplain are not taken into account. Flood event probabilities are referred to in terms of a percentage Annual Exceedance Probability, or ‘AEP’. This represents the probability of an event of this, or greater, severity occurring in any given year. These probabilities may also be expressed as the chance or odds (e.g. 200 to 1) of the event occurring in any given year. They are also commonly referred to in terms of a return period (e.g. the 200-year flood), although this period is not the length of time that will elapse between two such events occurring, as, although unlikely, two very severe events may occur within a short space of time. The following sets out the range of flood event probabilities for which coastal flood extent maps were developed, expressed in terms of Annual Exceedance Probability (AEP), and identifies their parallels under other forms of expression. 50% AEP can also be expressed as the 2 Year Return Period and as the 2:1 odds of occurrence in any given year. 20% AEP can also be expressed as the 5 Year Return Period and as the 5:1 odds of occurrence in any given year. 10% AEP can also be expressed as the 10 Year Return Period and as the 10:1 odds of occurrence in any given year. 5% AEP can also be expressed as the 20 Year Return Period and as the 20:1 odds of occurrence in any given year. 2% AEP can also be expressed as the 50 Year Return Period and as the 50:1 odds of occurrence in any given year. 1% AEP can also be expressed as the 100 Year Return Period and as the 100:1 odds of occurrence in any given year. 0.5% AEP can also be expressed as the 200 Year Return Period and as the 200:1 odds of occurrence in any given year. 0.1% AEP can also be expressed as the 1000 Year Return Period and as the 1000:1 odds of occurrence in any given year. The Present Day Scenario is also referred to as the Current Scenario. Present Day Scenario data was generated using methodologies based on historic flood data, without taking account of potential changes due to climate change. The potential effects of climate change have been separately modelled and reported on. Flooding from other sources may occur and areas that are not shown as being within a flood extent may therefore be at risk of flooding from other sources. The flood extent and depth maps are suitable for the assessment of flood risk at a strategic scale only, and should not be used to assess the flood hazard and risk associated with individual properties or point locations, or to replace a detailed flood risk assessment. Lineage: The National Coastal Flood Hazard Maps (NCFHM) 2021 are ‘predictive’ flood maps, as they provide predicted flood extent and depth information for a ‘design’ flood event that has an estimated probability of occurrence (e.g. the 0.5% AEP event), rather than information for floods that have occurred in the past. The maps have been produced at a strategic level to provide an overview of coastal flood hazard in Ireland, and minor or local features may not have been included in their preparation. A Digital Terrain Model (DTM) was used to generate the maps, which is a ‘bare-earth’ model of the ground surface with the digital removal of human-made and natural landscape features such as vegetation, buildings and bridges. This methodology can result in some of these human-made features, such as bridges and embankments, being shown within a flood extent, when in reality they do not flood. It should be noted that the flood extent maps indicate the predicted maximum extent of flooding, and flooding in some areas, such as near the edge of the floodplain area, might be very shallow. The predicted depth of flooding at a given location is indicated on the flood depth maps. The flood depth is displayed as a constant depth over grid squares with a 5m resolution, whereas in reality depths may vary within a given grid square. No post-processing of the flood extent and depth map datasets has been undertaken to remove small areas of flooding that are remote and isolated, small islands within the flooded area, etc. Local factors such as flood defence schemes, structures in or around river channels (e.g. bridges), buildings and other local influences, which might affect coastal flooding, have not been accounted for. Detailed explanations of the methods of derivation, data used, etc. is provided in the NCFHM 2021 Flood Mapping Methodology Report. Users of the maps should familiarise themselves fully with the contents of this report in advance of the use of the maps. Purpose: The data has been developed to inform a national assessment of flood risk that in turn will inform a review of the Preliminary Flood Risk Assessment required to comply with the requirements of the European Communities (Assessment and Management of Flood Risks) Regulations 2010 to 2015 (the “Regulations”) (implementing Directive 2007/60/EC) for the purposes of establishing a framework for the assessment and management of flood risks, aiming at the reduction of adverse consequences for human health, the environment, cultural heritage and economic activity associated with floods.

Analysis of ‘Inpatient/Day Case Waiting List’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/31135f68-08ae-440f-9525-89b1bd5fd673 on 16 January 2022.

--- Dataset description provided by original source is as follows ---

The National Treatment Purchase Fund (NTPF) is responsible for the collection, collation and validation of Inpatient, Day Case and Outpatient waiting lists.

The IPDC Waiting List Open Data report shows the total number of people waiting, across the various time bands, for Inpatient and Day case treatment in each Specialty (these numbers do not include GI Endoscopies, see separate report).

Statistical Disclosure Control (SDC) techniques have been applied to the data to preserve confidentiality and mitigate against identification or self-identification of individuals. In cases where there are less than 5 people in any particular cell, that value has been replaced with the average (mean) of all values that are less than 5 across that category. Any decimal values which arise have then been rounded. This may cause some rounding to occur when calculating sub-totals.

Where there are less than 20 people waiting in a particular specialty/hospital, the numbers have been aggregated under a ‘Small Volume’ heading

The Children’s Health Act 2018 came into effect on 1st January 2019. Under this act, Children’s Health Ireland was established and all assets, liabilities and records were transferred from Our Lady’s Children’s Hospital Crumlin, Temple Street Children’s University Hospital and National Children's Hospital at Tallaght University Hospital to the new body. From 1st January 2019, all NTPF reports reflect this change and data from the three sites of Children’s Health Ireland are reported as one entity. On the 31st of July 2019 Children's Health Ireland opened a new Paediatric Outpatient Department and Urgent Care Centre at CHI Connolly in Blanchardstown. The waiting lists for this site are incorporated into the Children's Health Ireland figures.

Please note that NTPF does not collect activity data, i.e., numbers treated or removed. A snapshot of the number of patients waiting in each hospital is collected and published, monthly, on the NTPF website.

Boards and management of individual public hospitals are responsible for the accuracy and the integrity of patient data submitted to NTPF.

The NTPF commenced publishing separate Adult and Child Waiting List Reports in April 2021. The Open Data report formats reflect this change from that date forward.

--- Original source retains full ownership of the source dataset ---

The below datasets have been published as part of the following paper: Barry Rodger, Imelda Maher and Rónán Riordan, A decade of EU law in the courts of Scotland and Ireland: national legal systems compared, Legal Studies (2021) 1 - 25. https://cup.org/2Oj7y41

Excel dataset entitled "Maher_I_Riordan_R_IRELAND_EU_LAW_DATASET_2009_2018" codes EU law cases before the Irish Superior Courts between 2009-2018. The dataset includes only civil law cases. Criminal law cases, and related issues, were excluded from the dataset.

The decisions of the Irish Lower Courts (Circuit and District Courts respectively), in contrast to the Superior Courts, are not normally published by the Irish Court Service and therefore the scope of the research was limited to the Irish Superior Courts for which comprehensive reports of decisions are maintained and publicly accessible by via the Court Service and other organisations.

Initial searches for EU law cases in the Irish Superior Courts provided potentially thousands of results over the ten year period that it was not possible for us to assess. As a result a more targeted search was employed which narrowed the Irish results to an initial dataset of 852 cases which was subject to qualitative assessment. A working paper outlining how the search was constructed, and how results were narrowed down, is accessible via the University College Dublin repository (http://hdl.handle.net/10197/11249)

The excel file entitled 'IE_267_REF_DATA_2009-2018.xlsx' complies references from Irish Courts and Tribunals to the Court of Justice of the European Union via the preliminary reference procedure under Article 267 of the Treaty on the Functioning of the European Union. This dataset records not only references from the Irish superior courts, but also from lower courts and tribunals within the state. Data was complied using information available on the Court of Justices website Curia.europa.eu. This dataset includes both civil and criminal law cases referred to the CJEU for clarification during the period.

Notice on dataset use;

These datasets are the property of the authors. Where other parties intend to use the dataset as part of their research, acknowledgement must be made as to the source of the dataset and of the original authors as having created the dataset. Contact authors via: imelda.maher@ucd.ie (University College Dublin) and r.riordan@phd.hertie-school.org (Hertie School Berlin).

Dataset owned and provided by NPWS. Dataset downloaded 17th September 2010. http://www.npws.ie/en/ProtectedSites/NaturalHeritageAreasNHAs/. The basic designation for wildlife is the Natural Heritage Area (NHA). This is an area considered important for the habitats present or which holds species of plants and animals whose habitat needs protection. To date, 75 raised bogs have been given legal protection, covering some 23,000 hectares. These raised bogs are located mainly in the midlands. A further 73 blanket bogs, covering 37,000ha, mostly in western areas are also designated as NHAs. In addition, there are 630 proposed NHAs (pNHAs), which were published on a non-statutory basis in 1995, but have not since been statutorily proposed or designated. These sites are of significance for wildlife and habitats. Some of the pNHAs are tiny, such as a roosting place for rare bats. Others are large - a woodland or a lake, for example. The pNHAs cover approximately 65,000ha and designation will proceed on a phased basis over the coming years. An archive of the Site Synopses for pNHAs can be downloaded here pNHA Site Synopses archive [4.2MB]. This PDF portfolio will require Adobe Reader 8 or higher to view. Please note that these synopses are based in many cases on old survey data and may not accurately reflect the status of the site at the current time. The Geological Survey of Ireland (GSI) is compiling a list of geological/geomorphological sites in need of protection through NHA designation. A committee of expert geologists provides an initial list of sites which then undergo a process of survey, reporting and review, to provide recommendations regarding NHA status or otherwise. The GSI has completed its list of karst (i.e. exposed limestone) and early fossil sites. Prior to statutory designation, pNHAs are subject to limited protection, in the form of: Rural Environment Protection Scheme (REPS) plans which require conservation of pNHAs and operate for a period of 5 years Forest Service requirement for NPWS approval before they will pay afforestation grants on pNHA lands Recognition of the ecological value of pNHAs by Planning and Licencing Authorities. Under the Wildlife Amendment Act (2000) , NHAs are legally protected from damage from the date they are formally proposed for designation.

Please see FAQ for latest information on COVID-19 Data Hub data flows: https://covid-19.geohive.ie/pages/helpfaqsNotice:Due to the current high levels of cases, the update of the Local Electoral Area (LEA) data is currently paused, given the increased reporting time and prioritisation of resources during this surge period. Updates will resume as early as possible.Please refer to the FAQ page for more information.14 Day Incidence of confirmed COVID-19 cases by LEA.This hosted feature view provides a visualisation of the 14 Day Incidence rate per 100k population of COVID-19 cases at the Local Electoral Area (LEA) level across Ireland. In total, there are 166 LEA's across Ireland.Please note: For confidentiality reasons, following consultation with the CSO, all LEA's with values below 5 have been suppressed to 'Less than 5'. Where a rate per 100k is set to 'Less than 5' it means that the LEA has a 14 Day incidence below 5 and its value has been suppressed to show 'Less than 5'. This is not an indication of zero (0) confirmed cases. For a proportion of notified COVID-19 cases, their location on the map may reflect their place of work rather than their home address. Confirmed cases have been geo-coded and allocated to Local Electoral Areas (LEA's) by the Health Intelligence Unit (HIU) at the HSE.This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Ordnance Survey Ireland (OSi), the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland's COVID-19 Data Hub are built using the GeoHive platform, Ireland's Geospatial Data Hub.

INFOMAR Shipwrecks. Published by Geological Survey Ireland. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This dataset shows the point locations of shipwrecks in Irish Waters surveyed by INSS and INFOMAR national seabed mapping projects. Over 480 surveyed shipwrecks have been recorded in the INFOMAR shipwreck inventory. The database accurately records the location of shipwrecks (known, unknown and in some cases uncharted), and contains detailed information regarding each wreck's condition on the seafloor, its extent, dimensions and water depth. This is possible by means of high resolution multibeam data acquired over the site of the wreck. None...

Please see FAQ for latest information on COVID-19 Data Hub data flows: https://covid-19.geohive.ie/pages/helpfaqsNotice:Due to the surge of cases over the Christmas period 2021, and increased processing times, updates of the Local Electoral Area (LEA) historic time series were paused. Updates of the historic time series resumed on 25th February 2022 (for cases created up to midnight on 21st February). As work is still ongoing to geo-code all cases created during the surge period, there is a gap in the historic LEA time series for cases created between 21st December 2021 and 21st January 2022. From the week of 30th May 2022 LEA data will no longer be updated.Please refer to the FAQ page for more information.14 Day Incidence of confirmed COVID-19 cases by LEA.14 Day Time Series Incidence Rate of confirmed COVID-19 cases by LEA - Rate per 100kThis hosted feature view provides a visualisation of the 14 Day Incidence rate per 100k population of COVID-19 cases at the Local Electoral Area (LEA) level across Ireland. In total, there are 166 LEA's across Ireland.Please note: For confidentiality reasons, following consultation with the CSO, all LEA's with values below 5 have been suppressed to 'Less than 5'. Where a rate per 100k is set to 'Less than 5' it means that the LEA has a 14 Day incidence below 5 and its value has been suppressed to show 'Less than 5'. This is not an indication of zero (0) confirmed cases. For a proportion of notified COVID-19 cases, their location on the map may reflect their place of work rather than their home address. Confirmed cases have been geo-coded and allocated to Local Electoral Areas (LEA's) by the Health Intelligence Unit (HIU) at the HSE.This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Tailte Éireann, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland's COVID-19 Data Hub are built using the GeoHive platform, Ireland's Geospatial Data Hub.

Abstract copyright UK Data Service and data collection copyright owner.Background The Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The LFS was first conducted biennially from 1973-1983. Between 1984 and 1991 the survey was carried out annually and consisted of a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter (data were then collected seasonally). From 1992 quarterly data were made available, with a quarterly sample size approximately equivalent to that of the previous annual data. The survey then became known as the Quarterly Labour Force Survey (QLFS). From December 1994, data gathering for Northern Ireland moved to a full quarterly cycle to match the rest of the country, so the QLFS then covered the whole of the UK (though some additional annual Northern Ireland LFS datasets are also held at the UK Data Archive). Further information on the background to the QLFS may be found in the documentation. Longitudinal data The LFS retains each sample household for five consecutive quarters, with a fifth of the sample replaced each quarter. The main survey was designed to produce cross-sectional data, but the data on each individual have now been linked together to provide longitudinal information. The longitudinal data comprise two types of linked datasets, created using the weighting method to adjust for non-response bias. The two-quarter datasets link data from two consecutive waves, while the five-quarter datasets link across a whole year (for example January 2010 to March 2011 inclusive) and contain data from all five waves. A full series of longitudinal data has been produced, going back to winter 1992. Linking together records to create a longitudinal dimension can, for example, provide information on gross flows over time between different labour force categories (employed, unemployed and economically inactive). This will provide detail about people who have moved between the categories. Also, longitudinal information is useful in monitoring the effects of government policies and can be used to follow the subsequent activities and circumstances of people affected by specific policy initiatives, and to compare them with other groups in the population. There are however methodological problems which could distort the data resulting from this longitudinal linking. The ONS continues to research these issues and advises that the presentation of results should be carefully considered, and warnings should be included with outputs where necessary. LFS Documentation The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned. However, volumes are updated periodically by ONS, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.Occupation data for 2021 and 2022 data filesThe ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.2022 WeightingThe population totals used for the latest LFS estimates use projected growth rates from Real Time Information (RTI) data for UK, EU and non-EU populations based on 2021 patterns. The total population used for the LFS therefore does not take into account any changes in migration, birth rates, death rates, and so on since June 2021, and hence levels estimates may be under- or over-estimating the true values and should be used with caution. Estimates of rates will, however, be robust. Latest edition informationFor the second edition (September 2023), a new version of the data file with revised SOC variables was deposited. Further information on the SOC revisions can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022. Main Topics:The five-quarter longitudinal datasets include a subset of the most commonly used variables from the Quarterly Labour Force Survey (QLFS), covering the main areas of the survey. See documentation for details Compilation or synthesis of existing material the datasets were created from existing QLFS data. They do not contain all records, but only those of respondents of working age who have responded to the survey in all the periods being linked. The data therefore comprise approximately one third of all QLFS variables. Cases were linked using the QLFS panel design.