Ireland recorded a Government Debt to GDP of 40.90 percent of the country's Gross Domestic Product in 2024. This dataset provides the latest reported value for - Ireland Government Debt to GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset is about countries per year in Ireland. It has 64 rows. It features 4 columns: country, central government debt, and unemployment.

The table relates to Gross National Debt (GND) only, providing a breakdown of the outstanding debt amounts into euro-denominated and non-euro denominated debt items as well as a residual maturity breakdown of debt. GND is the debt incurred by the Exchequer before the deduction of cash and other financial assets. It is the principal component of General Government Debt (GGD), which also includes the debt of other central and local government bodies, and is compiled and published by the Central Statistical Office (CSO). Gross National Debt data are published by the Central Bank of Ireland on a quarterly basis based on data from the National Treasury Management Agency (NTMA).

This dataset is about countries per year in Ireland. It has 64 rows. It features 4 columns: country, central government debt, and birth rate.

External Debt in Ireland decreased to 3043523 EUR Million in the first quarter of 2025 from 3068903 EUR Million in the fourth quarter of 2024. This dataset provides - Ireland External Debt - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Money and Banking Statistics contain data on the liabilities and assets of within-the-State offices of credit institutions. These data are further broken down by institutional sector, residency of counterparties, and by the type and maturity of the main asset (loans, holdings of securities) and liability instruments (deposits, securities issued) of interest. Detailed statistics are available on developments in Irish mortgage, consumer and deposit markets.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.

The table relates to Gross National Debt (GND) only, providing a breakdown of the outstanding debt amounts into euro-denominated and non-euro denominated debt items as well as a residual maturity breakdown of debt. GND is the debt incurred by the Exchequer before the deduction of cash and other financial assets. It is the principal component of General Government Debt (GGD), which also includes the debt of other central and local government bodies, and is compiled and published by the Central Statistical Office (CSO). Gross National Debt data are published by the Central Bank of Ireland on a quarterly basis based on data from the National Treasury Management Agency (NTMA).

This dataset provides values for GOVERNMENT DEBT TO GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Households Debt in Ireland decreased to 89.33 percent of gross income in 2023 from 96.52 percent in 2022. This dataset provides - Ireland Households Debt To Income- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset is about book subjects. It has 2 rows and is filtered where the books is Money and banking in Ireland : origins, development and future. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

BRC records of Irish mammals. Confined to records of Otter (Lutra lutra) extracted from CHAPMAN, P.J. and CHAPMAN L.L. (1982) Otter Survey of Ireland, Vincent Wildlife Trust. These records were extracted in BRC from the above publication and are included here as a test dataset. The original records were professionally-collected as simple 10km square data on parts of the Irish grid. There is a notable geographic distribution of records by 50km square due to the collection methods that are described in the publication.

This is the dataset for shark, skates and rays caught, tagged and released by charter skippers and sea anglers for Inland Fisheries Ireland (IFI) (formerly Inland Fisheries Trust, then Central Fisheries Board). The dataset, relating to use of conventional tags, spans from 1970 to 2018. The fish capture and tagging location, as listed in the data table, is bound in the relevant ICES statistical sub rectangle (ices.dk/data/maps/Pages/ICES-statistical-rectangles.aspx). The individual rectangles measure 20' of longitude by 10' of latitude and are roughly square in shape, measuring approximately 10 nautical miles by 10 nautical miles (or 18x18 km) at 60°N. Where required capture locations were assigned, because for many fish (all species) point-specific co-ordinates were not provided by all taggers. Fish tagged in any named bay were assigned to a centroid within that bay, and those tagged by specific skippers were assigned a point location 5 km from their vessel’s port of departure. Tagging events are generally distributed around the Irish coast but some fish were tagged off the UK coast. An interactive map incorporating all the tagging (open data) can be accessed in the app hosted in IFI’s Open Data Hub.

The co-operation of all charter skippers and anglers involved in this long-term tagging programme is much appreciated

Field Name

Field Alias

Field Type

Field Description

TagCommonName

Common Name

Text

Common name of Tagged Fish

cdSpecies

Species Code

Text

Species three letter code

TagDate

Tag Date

Date

Tagging date

Tagyear

Tag Year

Short

Tagging year

cdICESSub

ICES Statistical SubRectangles

Text

ICES subcode for use as a proxy for exact location.

TagEventID

Tag Event ID

Text

A unique ID for each tagging event as occasionally Tag Type Numbers were repeated.

TagTypeNum

Tag Type Num

Text

Tag Type and Number

TagType

Tag Type

Text

Type of Tag ie. D = Dart tag, J = Jumbo tag, P = Petersen disc tag

cdSpeciesLatin

Latin Name

Text

Latin Name

TaggerID

Tagger ID

Text

Pseudo-anonymized Tagger ID number

The National Population Database (NPD) for Northern Ireland is a point-based Geographical Information System (GIS) dataset that combines locational information from Ordnance Survey Northern Ireland (OSNI) with population information about those locations, mainly sourced from Northern Irish government statistics. The points represent individual buildings allowing the NPD NI to provide detailed local analysis for anywhere in Northern Ireland. The Health and Safety Laboratory (HSL) working with Staffordshire University originally created the NPD for Great Britain in 2004 to help its parent organisation, the Health and Safety Executive (HSE), assess the risks to society of major hazard sites e.g. oil refineries, chemical works and gas holders. Of particular interest to HSE were ‘sensitive’ populations e.g. schools and hospitals where the people at those locations may be more vulnerable to harm and potentially harder to evacuate in an emergency. The data for the NPD NI includes residential, schools and colleges, hospitals and workplace layers. The NPD NI was created using various datasets from OSNI and government organisations and contains other intellectual property so is only available under a license and for a fee. Please contact the HSL GIS team if you would like to discuss gaining access to the sample or full dataset.

The Gross Domestic Product (GDP) in Ireland was worth 577.39 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Ireland represents 0.54 percent of the world economy. This dataset provides the latest reported value for - Ireland GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

These data relate to new mortgage lending on residential property in Ireland on an annual basis. Data relates to those institutions [(banks and non-bank mortgage lenders)] who issue at least €50 million of new mortgage lending in a six-month period and are subsequently required to submit loan-level information to the Central Bank for the purposes of the macroprudential mortgage measures. The value and volume of new lending is provided, by borrower type, along with the distribution of lending by Loan-to-value and Loan-to-income ratio. Average characteristics are also provided. These data do not constitute official statistics. These data are published to support transparency and understanding of market developments.

This data was collected by the Geological Survey Ireland, the Department of Culture, Heritage and the Gaeltacht, the Discovery Programme, the Heritage Council, Transport Infrastructure Ireland, New York University, the Office of Public Works and Westmeath County Council. All data formats are provided as GeoTIFF rasters but are at different resolutions. Data resolution varies depending on survey requirements. Resolutions for each organisation are as follows: GSI – 1m DCHG/DP/HC - 0.13m, 0.14m, 1m NY – 1m TII – 2m OPW – 2m WMCC - 0.25m Both a DTM and DSM are raster data. Raster data is another name for gridded data. Raster data stores information in pixels (grid cells). Each raster grid makes up a matrix of cells (or pixels) organised into rows and columns. The grid cell size varies depending on the organisation that collected it. GSI data has a grid cell size of 1 meter by 1 meter. This means that each cell (pixel) represents an area of 1 meter squared.

The concept of Open Data is about making data held by public bodies available and easily accessible online for reuse and redistribution. Open Data gives everyone access to non-personal government data which can deliver enhanced economic, social, environmental and democratic benefits to all. The Open Data Initiative is designed to benefit society by increasing the amount of governmental data available to the public, promoting enhanced innovation and fair competition. Many of the apps we use on our phones on a daily basis rely on Open Data. Who leaves their house without checking the weather, the time of the next bus or goes to the beach without looking up the water quality, tidal times or parking facilities? Data.gov.ie is the central portal which provides access to all governmental open data. It provides easy access to datasets that are free to use, reuse, and redistribute. The portal is operated by the Government Reform Unit in the Department of Public Expenditure and Reform. Ireland’s Open Data Initiative began in 2014 when we joined the international Open Government Partnership. The Open Data Initiative has been very successful in Ireland and we are currently ranked 2nd in the EU Open Data Maturity assessment. The Open Data Governance Board was established in 2016 to work in the public interest. It leads the Open Data Initiative and oversees the implementation of the Government’s Open Data Strategy. The Board is made up of 10 to 12 representatives from academia, the public service, business, media and civil society. We would really like to hear how you are using Open Data and if you have 10 minutes please complete a short impact assessment survey for us. Share how you are using Open Data by submitting a Showcase which can be featured on the Portal. The Open Data listed in data.gov.ie is published by Government Departments and Public Bodies. Many datasets are individually published and updated by public organisations. Other datasets are harvested daily from existing, domain-specific data catalogues. If you would like to suggest a new dataset to publish, or if you have any comments about existing datasets, please visit the Suggest a Dataset page > If you have any questions or comments about data.gov.ie or Open Data, please contact the Department of Public Expenditure NDP Delivery and Reform at opendata@per.gov.ie > Data.gov.ie is built using CKAN and utilises elements of ckanext-dgu, available at github.com/datagovuk/ckanext-dgu

Karst is a type of landscape where the bedrock has dissolved and created features such as caves, enclosed depressions (sinkholes), disappearing streams, springs and turloughs (seasonal lakes). Limestone is the most common type of soluble rock. As rain falls it picks up carbon dioxide (CO2) in the air. When this rain reaches the ground and passes through the soil it picks up more CO2 and forms a weak acid solution. The acidified rain water trickles down through cracks and holes in the limestone and over time dissolves the rock. After traveling underground, sometimes for long distances, this water is then discharged at springs, many of which are cave entrances.There are many kinds of karst landforms, ranging in size from millimetres to kilometres. Dolines or sinkholes are small to medium sized enclosed depressions. Uvalas and poljes are large enclosed depressions. A swallow hole is the point where surface stream sinks underground. Turloughs are seasonal lakes. Springs occur where groundwater comes out at the surface, karst springs are usually much bigger than non-karst springs. Estevelles can act as springs or swallow holes. Dry valleys are similar to normal river valleys except they do not have a stream flowing at the bottom. A cave is a natural underground opening in rock large enough for a person to enter. Superficial Solution Features can be seen on rocks dissolved by rain and include pits, grooves, channels, clints (blocks) and grikes (joints). Please read the lineage for further details.This map shows the currently mapped karst landforms in Ireland.Geologists map and record information in the field. They also examine old maps and aerial photos.We collect new data to update our map and also use data made available from other sources such as academia and consultants. It is NOT a complete database and only shows areas that have been mapped by GSI, or submitted to the GSI. Many karst features are not included in this database. The user should not rely only on this database, and should undertake their own site study for karst features in the area of interest if needed.It is a vector dataset. Vector data portray the world using points, lines, and polygons (areas).The karst data is shown as points. Each point holds information on: Karst Feature Unique ID, Historic GSI Karst Feature ID, Karst Feature Type, Karst Feature Name, if it’s within another Karst Feature, Location Accuracy, Data Source, Comments, Details and County.Water tracing means ‘tagging’ water, usually by adding a colour or dye, to see where it goes. Dye is usually added to a sinking stream and all possible outlet points (such as springs and rivers) are tested for the dye.Water traces are recorded as a straight line between the location of tracer input (e.g. swallow hole) and detection (e.g. spring), but they don’t show the actual path water may take underground, which is likely to be much more winding.It is mainly used in karst areas to find out groundwater flow rates, the direction the water is travelling underground and to help define catchments (Zone of Contributions).The dataset should be used alongside the Karst Landforms 1:40,000 Ireland (ROI/NI) ITM.Geologists map and record information in the field. We collect new data to update our map and also use data made available from other sources such as Academia and Consultants. It is a vector dataset. Vector data portray the world using points, lines, and polygons (areas).The karst data is shown as lines. Each line holds information on: Tracer Line Unique ID, Input Site, Input Historic GSI Karst Feature ID, Output Site. Output Historic GSI Karst Feature ID, Tracer Test Date, Weather Conditions, Tracer Used, Quantity, Operator, Results, Minimum Groundwater Flow Rate, Hydraulic Gradient (slope of water table), Data Source, Catchment, Peak Concentration, Other Information, Flow Path, County, Length (m), Direction and Quality Checked.

Ireland IE: Foreign Direct Investment Position: Inward: Total: World data was reported at 1,299,938.000 EUR mn in 2023. This records a decrease from the previous number of 1,350,229.000 EUR mn for 2022. Ireland IE: Foreign Direct Investment Position: Inward: Total: World data is updated yearly, averaging 936,090.100 EUR mn from Dec 2012 (Median) to 2023, with 12 observations. The data reached an all-time high of 1,350,229.000 EUR mn in 2022 and a record low of 290,438.000 EUR mn in 2012. Ireland IE: Foreign Direct Investment Position: Inward: Total: World data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Ireland – Table IE.OECD.FDI: Foreign Direct Investment Position: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value, Own funds at book value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are not excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.