This data collection contains data primarily from both the 1841 and 1851 Census of Ireland used in Fernihough and Ó Gráda (2022). Also contained, where available, are population counts from the 1821 and 1831 censuses. The data collection also includes an amended version of the Civil Parish Shapefile from townlands.ie (OpenStreetMap Ireland, 2020). Both data sources were adjusted to ensure concordance. The towlands.ie data is open data is open data, licensed under the Open Data Commons Open Database License (ODbL). Please contact Alan Fernihough for further details or queries. The “shapefile” files are the GIS files one needs to load the spatial boundaries. The census data is included in the “data.csv” file and one must merge this to the shapefiles to work with these data. However, this is a simple process. The file “load and join.R” is an example of how this could be performed using the R statistical software package.Was early 19th century Ireland overpopulated and fertility at an unsustainable level, or did other factors cause the Great Irish Famine? Did the famine-induced migration to Britain spread infectious diseases and have a substantial impact on British mortality rates? Similarly, what impact did the famine have on the British labour force and economy generally? This research project will answer these questions. The Great Famine was a watershed in global history. It was the last major famine to occur in a Western economy, and had long-run impacts. The enduring legacy of the famine has sparked the interest of numerous novelists and playwrights. Earlier this year, news that media group Channel 4 was considering commissioning a Great Famine-based sitcom stoked an intense public debate. Many felt that this would trivialise the tragedy. The length and breadth of this debate underlined the immense interest that still surrounds the famine. However, the spectrum of opinions as to the causes and consequences of the famine also highlighted the need for further historical research. Let the Data Speak Joel Mokyr's influential 1983 book Why Ireland Starved redefined famine research. Before, famine-related research was largely based on qualitative assessments that left ample room for both conjecture and, rhetoric, and errors. Unlike previous researchers, Mokyr, wanted to let the data decide whether or not it was Ireland's overpopulation that caused the famine. To do this he gathered data on the population density of Irish regions and found that it was Ireland's least densely populated regions that were the ones that suffered worse during the famine. Mokyr's test did not support the overpopulation theory (captured by what is known as the Malthusian model). I hasten to add that the Malthusian model cannot be considered to have been refuted by this finding. For one thing, the possibility that more sophisticated econometric techniques and improved data will reverse the finding cannot be ruled out. (Mokyr, 1983). Whilst striking, Mokyr's analysis was based on variation between relatively few data points (Ireland's 32 counties), as the quote above testifies. This study is motivated by the above quote. Better data (from over 3,000 civil parishes) and more sophisticated econometric techniques exist, and therefore Mokyr's findings can at last be re-evaluated, something this project will do. Mokyr's philosophy of letting the data speak, can also be applied to help uncover some of the Great Famine's consequences. Specifically, this project will quantify the impact that famine-induced migration had on Britain. The famine caused a mass movement of the Irish population to Britain. Before the famine, there were around 430,000 Irish born in Britain. By 1851, the Irish-born population had grown to 730,000. This crisis-driven mass-migration echoes Europe's migration crisis today, as people flea from war-torn and economically desolate nations in Africa and Asia. In this sense, the Great Irish Famine provides a form of historical natural experiment from which we can learn from and gain a greater understanding of the consequences of mass migrations. What effect did the Irish famine have on Britain? This research will use newly available census data (released as part of the ESRC-funded ICeM project) to uncover how the Irish famine influenced the British economy and labour force. For example, did the influx of Irish in certain cities such as Liverpool and Manchester boost demand and help to speed up economic growth, or did this migration depress the wages of locals and therefore stifle economic advancement? In addition, this project will also use newly available records of regional mortality to calculate what impact, if any, the Great Famine had on mortality in England and Wales. If the Irish famine caused elevated levels of mortality, this implies that the ultimate death toll of the Irish famine is underestimated. Parish-level data transcribed from published sources, the official census returns for 1841 and 1851. In addition, to 1821 and 1831 were partially transcribed where they could be satisfactorily matched. Spatial data (shapefiles) were downloaded from townlands.ie. Both the transcribed census returns and the townlands.ie shapefile were amended to ensure concordance between all of the sources. For example, in instances where a civil parish straddled two or more baronies the individual returns for the parish were aggregated to a single data observation, which was then matched to the corresponding townlands.ie spatial polygon. Variables from the 1841 and 1851 censuses are split according to total and rural portions of each parish. The census reports reported the non-rural (towns, villages, etc.) share of each parish separately. In parishes with no non-rural portions (villages, small towns, etc.) the totals for the complete and rural variables will be equal. 58 per cent of parishes fit this criteria.

International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.

Population aged 5 years and over by time leaving home to travel to work, school or college by Province. (Census 2022 Theme 11 Table 2 )Census 2022 table 11.2 is population aged 5+ by time leaving home to travel to work, school or college. Attributes include a breakdown of population by time leaving for work, school or college. Census 2022 theme 11 is Commuting, Working from Home and Childcare. Ireland is divided into four provinces - Leinster, Ulster, Munster and Connacht. They do not have any administrative functions and they are relevant for a number of historical, cultural and sporting reasons. The borders of the provinces coincide with the boundaries of counties. Three of the nine counties in Ulster are within the jurisdiction of the State.Coordinate reference system: Irish Transverse Mercator (EPSG 2157). These boundaries are based on 20m generalised boundaries sourced from Tailte Éireann Open Data Portal. Provinces - National Statutory Boundaries - 2019This dataset is provided by Tailte Éireann

Shoreline rates show how fast the coast is moving. They show if it is moving out towards the sea or back towards the land.Our shoreline is in constant movement. Changes to shorelines over time are to be expected due to processes like erosion (rock or sediment being removed) and deposition (sediment being dumped). Much of Ireland’s shoreline was shaped by the last ice-age. In many areas soft sediments were left behind by glaciers. In other areas there are more recent soft sediments such as dunes and sand spits deposited by action of sea or rivers.Coastal processes can erode these soft sediments. However, climate change driven factors such as sea-level rise and more frequent extreme storms will greatly increase the rate and scale at which coastal erosion is occurring.Satellite images and aerial photographs show us how the shoreline is changing from year to year. We used Tailte Éireann and BlueSky aerial images between 2000 to 2020/Maxar Worldview 2021 to assess the rate or speed of shoreline movement. The data points are spaced 50m apart. The data is split into four classes based on the rates of change. Accretion (deposition), Stable, Moderate Erosion and High Erosion.The change rate data points are spaced 50m apart. The data is split into four classes based on the rates of change. Accretion (deposition), Stable, Moderate Erosion and High Erosion.It is a vector dataset. Vector data portray the world using points, lines and polygons (area). The data is shown as points. Each point holds information about the Shoreline Change Rate (metre per year) and the Shoreline Classification.

EAACC03 - Characteristics of Children in Care in January 2024 and Children Who Left Care since April 2018. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Characteristics of Children in Care in January 2024 and Children Who Left Care since April 2018...

Fire and Ambulance Annual Incident Activity Log Dublin Fire Brigade (DF) and Ambulance (DA) annual incident activity logs. Fields include date, area of incident (district ID) and response time data. The fields from MOB through to CD are generated by the vehicle (either by a button press or a voice message) and they reflect its changing status.'TOC the time the call is received in the control centre'ORD the time the vehicle is ordered, i.e., mobilised to the incident by a control operator.'MOB the time at which the vehicle is mobile to incident (the vehicle has started to move)'IA the time the vehicle is in attendance (the vehicle is stopped at the incident)'LS leaving scene (the time the ambulance is leaving scene for hospital)'AH the time at hospital (ambulance has arrived at hospital)'MAV the time at which the vehicle is mobile and available (vehicle heading back to station)'CD the time at which the vehicle is closing down (back at station, vehicle radio is being shut down) Echo Life threatening Cardiac or respiratory arrest Delta Life threatening other than cardiac or respiratory arrest Charlie Serious not life threatening immediate Bravo Serious not life threatening urgent Alpha Non serious or life threatening Omega Minor illness or injury

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.

Disposable Income refers to an individual or household's net income once taxes and other employer deductions are taken into account. In other words, it is the amount of money an individual has for spending on essential and non-essential goods and services.

What is included in this income dataset?

All data is also calculated as a total (in Euros), a percentage (%) and as an index - with an index of 100 representing the average disposable income per selected administrative level. The disposable income data for Ireland is available at street and 4-digit postal code level.

Our Irish Disposable Income datasets include the following variables:

Income

• Total Number of Inhabitants

Households

• Total Number of Households

Disposable Income

• Total Disposable Income
• Average Disposable Income per Inhabitant
• Average Disposable Income per Household

• Disposable income is also known as purchasing power. Purchasing power simply is the amount of money a person has left to buy products. It is a good indicator of the economic wealth of certain areas. Having access to this data greatly improves strategic decisions you make.

  The Purchasing Power data highlights regions where high numbers of potential buyers live. By concentrating your marketing efforts on these regions, you can generate better results, increase efficiency, and conserve resources.

• The chief data source used for the compilation of the purchasing power figures is each country's distribution of income-information obtained through an analysis of official tax statistics. In the case of countries for which this kind of information is only partially or not at all available, other factors are considered, such as data on demographics, the workforce, unemployment figures, etc.

  In the case of countries without official population statistics at the level of postcodes, population data is calculated. Area-based projections are being avoided as much as possible. The calculation of highly accurate purchasing power figures is possible using mathematical formulas that have been refined over the course of many years.

• At the 4-digit postal code level, there are 139 areas in this dataset.

• Spotzi's geomarketing tool, Spotzi Profiling, effectively leverages this data. It provides in-depth insights into income and other characteristics, enabling personalized marketing for various customer segments.

  Together, the Disposable Income dataset and Spotzi tools create a potent resource, empowering marketers to comprehend disposable income trends and income distribution across different regions of the country, guiding improved planning and more intelligent selling techniques.

  How does it work?
  
  Location is key to our geomarketing platform. It serves as the means by which we can link more data to your customers' locations, extracting valuable insights from your customer data.

  With Customer Profiling, you can enrich your customer list in just a few steps with this dataset on disposable income, gaining deeper insights into your most valuable customers.

• Spotzi Targeting make excellent use of this data. Spotzi Targeting allows businesses to group people with similar locations and income levels, enabling the creation of ads that truly connect and result in better sales and returns on investment.

Shoreline rates show how fast the coast is moving. They show if it is moving out towards the sea or back towards the land.Our shoreline is in constant movement. Changes to shorelines over time are to be expected due to processes like erosion (rock or sediment being removed) and deposition (sediment being dumped). Much of Ireland’s shoreline was shaped by the last ice-age. In many areas soft sediments were left behind by glaciers. In other areas there are more recent soft sediments such as dunes and sand spits deposited by action of sea or rivers. Coastal processes can erode these soft sediments. However, climate change driven factors such as sea-level rise and more frequent extreme storms will greatly increase the rate and scale at which coastal erosion is occurring. Satellite images and aerial photographs show us how the shoreline is changing from year to year. Here Tailte Éireann aerial images between 2000 to 2020/Maxar Worldview 2021 were used to assess the rate or speed of shoreline movement. The data points are spaced 50m apart. The data is split into four classes based on the rates of change. Accretion (deposition), Stable, Moderate Erosion and High Erosion.It is a vector dataset. Vector data portray the world using points, lines and polygons (area). The data is shown as points. Each point holds information about the Shoreline Change Rate (metre per year) and the Shoreline Classification.

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. Secure Access QLFS data Secure Access datasets for the QLFS are available from the April-June 1992 quarter, and include additional, detailed variables not included in the standard 'End User Licence' (EUL) versions (see under GN 33246). Extra variables that typically can be found in the Secure Access versions but not in the EUL relate to:geography (see 'Spatial Units' below)date of birth, including dayeducation and training: including type of 'other qualifications', more detail regarding the number of O'levels/GCSE passes, type of qualification gained in last 12 months, class of first degree, type of degree held, UK country of highest degree, type of current educational institution, level of Welsh baccalaureate, activities to improve knowledge or skills in last 12 months, attendance at adult learning taught courses, attendance at leisure or educational classes, self-teaching, payment of job-related training feeshousehold and family characteristics: including number of family units (and extended family units) with dependent children only, and with non-dependent children only, total number of family units with more than one person, total number of eligible people, type of household, type of family unit, number of bedroomsemployment: including industry code of main job, whether working full-time or part-time, reason job is temporary, payment of own National Insurance and tax, when started working at previous job, whether paid or self-employed in previous job, contracts with employment agencyunemployment and job hunting: including main reason for not being employed prior to current job, reasons for leaving job (provision of care or other personal/family reasons), use of internet for job hunting, if and when will work in the futuretemporary leave from work: including proportion of salary received and duration of leaveaccidents at work and work-related health problemsnationality, national identity and country of birth: including whether lived continuously in UK, month of most recent arrival to UK, frequency of Welsh speakingoccurrence of learning difficulty or disabilitybenefits, including additional variables on type of benefits claimed and tax credit paymentsSecure Access versions of QLFS household datasets are available from 2009 under SN 7674. Prospective users of a Secure Access version of the QLFS will need to fulfil additional requirements, commencing with the completion of an extra application form to demonstrate to the data owners exactly why they need access to the extra, more detailed variables, in order to obtain permission to use that version. Secure Access users must also complete face-to-face training and agree to Secure Access' User Agreement (see 'Access' section below). Therefore, users are encouraged to download and inspect the EUL version of the data prior to ordering the Secure Access version. Well-Being variables are not included in the LFS Users should note that subjective well-being variables (Satis, Worth, Happy, Anxious and Sad) are not available on the LFS, despite being referenced in the questionnaire. Users who wish to analyse well-being variables should apply for the Annual Population Survey instead (see SNs 6721 and 7961). LFS Documentation The documentation available from the Archive to accompany LFS datasets largely consists of the relevant versions of each volume of the user guide. However, LFS volumes are updated periodically by ONS, so users are advised to check the ONS LFS 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.The study documentation presented in the Documentation section includes the most recent documentation for the LFS only, due to available space. Documentation for previous years is provided alongside the data for access and is also available upon request. Variables DISEA and LNGLST Dataset A08 (Labour market status of disabled people) which ONS suspended due to an apparent discontinuity between April to June 2017 and July to September 2017 is now available. As a result of this apparent discontinuity and the inconclusive investigations at this stage, comparisons should be made with caution between April to June 2017 and subsequent time periods. However users should note that the estimates are not seasonally adjusted, so some of the change between quarters could be due to seasonality. Further recommendations on historical comparisons of the estimates will be given in November 2018 when ONS are due to publish estimates for July to September 2018.Latest Edition InformationFor the thirty-eighth edition (October 2023), a new data file for April-June 2023 and a new 2023 variable catalogue have been added to the study. Main Topics: The QLFS questionnaire comprises a 'core' of questions which are included in every survey, together with some 'non-core' questions which vary from quarter to quarter. The questionnaire can be split into two main parts. The first part contains questions on the respondent's household, family structure, basic housing information and demographic details of household members. The second part contains questions covering economic activity, education and health, and also may include a few questions asked on behalf of other government departments (for example the Department for Work and Pensions and the Home Office). Until 1997, the questions on health focussed on problems that affect the respondent's work. Since then, the questions have covered all health problems. Detailed questions on income have also been included in each quarter since 1993. The basic questionnaire is revised each year, and a new version published, along with a transitional version that details changes from the previous year's questionnaire. Four sampling frames are used. See documentation for details.

EAACC08 - Children in care in January 2024 and children who left care since April 2018. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Children in care in January 2024 and children who left care since April 2018...

EAACC07 - Enrolments in Education of Children who left Care and All Children aged 18-23 in January 2024. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Enrolments in Education of Children who left Care and All Children aged 18-23 in January 2024...

In 2019, there were approximately 302,020 British citizens living in Spain, with a further 293,061 in Ireland and 176,672 in France. By comparison, there were only 604 British people living in Slovenia, the fewest of any European Union member state. As a member of the European Union, British citizens had the right to live and work in any EU member state. Although these rights were lost for most British citizens after the UK left the EU in 2020, Britons already living in EU states were able to largely retain their previous rights of residence. EU citizens living in the UK EU citizens living in the UK face the same dilemma that British nationals did regarding their legal status after Brexit. In the same year, there were 902,000 Polish citizens, 404,000 Romanians, and 322,000 people from the Republic of Ireland living in the UK in that year, along with almost 2 million EU citizens from the other 24 EU member states. To retain their rights after Brexit, EU citizens living in the UK were able to apply for the EU settlement scheme. As of March 2024, there have been around 7.9 million applications to this scheme, with Romanian and Polish nationals the most common nationality at 1.71 million applications, and 1.23 million applications respectively. Is support for Brexit waning in 2024? As of May 2024, the share of people in the UK who think leaving the EU was the wrong decision stood at 55 percent, compared with 31 percent who think it was the correct choice. In general, support for Brexit has gradually eroded since April 2021, when 46 percent of people supported Brexit, compared with 43 percent who regretted it. What people think Britain's relationship with the EU should be is, however, still unclear. A survey from November 2023 indicated that just 31 percent thought the UK should rejoin the EU, with a further 11 percent supporting rejoining the single market, but not the EU. Only ten percent of respondents were satisfied with the current relationship, while nine percent wished to reduce ties even further.

Abstract copyright UK Data Service and data collection copyright owner. This dataset arises from the survey work undertaken by four closely co-ordinated projects, which were part of the Devolution and Constitutional Change research programme of the Economic and Social Research Council (ESRC). The principal aim of the projects was to establish whether initial reactions to the introduction of devolution in Scotland, Wales and Northern Ireland enhanced (or otherwise) the legitimacy of the United Kingdom and the new institutions themselves. More specifically the projects aimed to find answers to the following questions:Did the introduction of devolution change the distribution of national identity?Did support for the UK political system rise or fall?Were patterns similar or different across the four territories?Can any changes that have occurred in national identity and so on be attributed to devolution or to other processes such as generational change?There were in addition a number of country-specific issues, for example, support for regional government in England. The objective of the survey research was to provide a firm empirical basis on which to study these questions. This dataset is derived from several existing sources:British Social Attitudes Surveys, 2001 and 2003, produced by the National Centre for Social Research (NatCen) Scottish Social Attitudes Surveys, 2001 and 2003, produced by NatCen and the Scottish Centre for Social ResearchWales Life and Times Study (Welsh Election Study), 2001 (held at the UK Data Archive (UKDA) under SN 4546), and Wales Life and Times Study (Welsh Assembly Election Study), 2003, (SN 5052), which were produced by the universities of Wales (Aberystwyth) and Oxford, and NatCenNorthern Ireland Life and Times Survey, 2001 and 2003, produced by the Northern Ireland Social and Political Archive (ARK)The copyright of the data taken from these surveys rests with the original producers (see copyright statement below). Main Topics: The dataset contains both common questions asked in all four territories in a standard form and territory-specific questions that are relevant to the particular context. There are over 30 common items, covering measures of national identity, national sentiment, attitudes towards the constitutional status of each of the four territories, measures of system efficacy, indicators of post-materialist attitudes and exposure to globalisation, knowledge of the settlement and perceptions of the costs and benefits of devolution. In addition, there is a comprehensive range of relevant demographic information about the respondents. Variable names and labels have been standardised in order to facilitate comparisons both across territories and over time. Standard Measures: Likert scales of social and political values: 'Left-right scale' (see variables 'leftrigh' and 'leftrigh1'), and 'Libertarian-authoritarian scale' (see variable 'libauth'). One-stage stratified or systematic random sample Multi-stage stratified random sample see documentation for individual study series for full details. Compilation or synthesis of existing material data taken from existing datasets

Notes: Net Migration is the difference between inflows and outflows. Inflows = people coming to Northern Ireland to live Outflows = people leaving Northern Ireland to live elsewhere In general the precision of the migration estimates could be considered to be no better than to the nearest 100. The estimates are produced using a variety of data sources and statistical models. Therefore small estimates should not be taken to refer to particular individuals. The migration element of the components of change have been largely derived from a data source which is known to be deficient in recording young adult males and outflows from Northern Ireland. Therefore the estimates are subject to adjustment to account for this and, while deemed acceptable for their use, will not provide definitive numbers of the population in the reported groups/areas. Further information is available in the Limitations section of the statistical bulletin: NISRA 2023 Mid-year Population Estimates webpage Time Period Estimates are provided for mid-2002 to mid-2023. Methodology The cohort-component method was used to create the population estimates for 2022. This method updates the Census estimates by 'ageing on' populations and applying information on births, deaths and migration. Further information is available at: NISRA 2023 Mid-year Population Estimates webpage Geographic Referencing Population Estimates are based on a large number of secondary datasets. Where the full address was available, the Pointer Address database was used to allocate a unique property reference number (UPRN) and geo-spatial co-ordinates to each home address. These can then be used to map the address to particular geographies. Where it was not possible to assign a unique property reference number to an address using the Pointer database, or where the secondary dataset contained only postcode information, the Central Postcode Directory was used to map home address postcodes to higher geographies. A small proportion of records with unknown geography were apportioned based on the spatial characteristics of known records. Further Information NISRA Mid-year Population Estimates webpage Contact: NISRA Customer Services 02890 255156 census@nisra.gov.uk Responsible Statistician: Jonathan Harvey

This survey is a not up-to-date version. Please, use the updated version included in the EVS integrated data files. This national dataset is only available for replication purposes and analysis with additional country-specific variables (see ´Further Remarks´).

Two online overviews offer comprehensive metadata on the EVS datasets and variables.

The extended study description for the EVS 2008 provides country-specific information on the origin and outcomes of the national surveys The variable overview of the four EVS waves 1981 1990 1999/2000 and 2008 allows for identifying country specific deviations in the question wording within and across the EVS waves.

These overviews can be found at: Extended Study Description Variable Overview

Moral, religious, societal, political, work, and family values of Europeans.

Topics: 1. Perceptions of life: importance of work, family, friends and acquaintances, leisure time, politics and religion; frequency of political discussions with friends; happiness; self-assessment of own health; memberships and unpaid work (volunteering) in: social welfare services, religious or church organisations, education, or cultural activities, labour unions, political parties, local political actions, human rights, environmental or peace movement, professional associations, youth work, sports clubs, women´s groups, voluntary associations concerned with health or other groups; tolerance towards minorities (people with a criminal record, of a different race, left/right wing extremists, alcohol addicts, large families, emotionally unstable people, Muslims, immigrants, AIDS sufferers, drug addicts, homosexuals, Jews, gypsies and Christians - social distance); trust in people; estimation of people´s fair and helpful behaviour; internal or external control; satisfaction with life.

1. Work: reasons for people to live in need; importance of selected aspects of occupational work; employment status; general work satisfaction; freedom of decision-taking in the job; importance of work (work ethics, scale); important aspects of leisure time; attitude towards following instructions at work without criticism (obedience work); give priority to nationals over foreigners as well as men over women in jobs.

2. Religion: Individual or general clear guidelines for good and evil; religious denomination; current and former religious denomination; current frequency of church attendance and at the age of 12; importance of religious celebration at birth, marriage, and funeral; self-assessment of religiousness; churches give adequate answers to moral questions, problems of family life, spiritual needs and social problems of the country; belief in God, life after death, hell, heaven, sin and re-incarnation; personal God versus spirit or life force; own way of connecting with the divine; interest in the sacred or the supernatural; attitude towards the existence of one true religion; importance of God in one´s life (10-point-scale); experience of comfort and strength from religion and belief; moments of prayer and meditation; frequency of prayers; belief in lucky charms or a talisman (10-point-scale); attitude towards the separation of church and state.

3. Family and marriage: most important criteria for a successful marriage (scale); attitude towards childcare (a child needs a home with father and mother, a woman has to have children to be fulfilled, marriage is an out-dated institution, woman as a single-parent); attitude towards marriage, children, and traditional family structure (scale); attitude towards traditional understanding of one´s role of man and woman in occupation and family (scale); attitude towards: respect and love for parents, parent´s responsibilities for their children and the responsibility of adult children for their parents when they are in need of long-term care; importance of educational goals; attitude towards abortion.

4. Politics and society: political interest; political participation; preference for individual freedom or social equality; self-assessment on a left-right continuum (10-point-scale); self-responsibility or governmental provision; free decision of job-taking of the unemployed or no permission to refuse a job; advantage or harmfulness of competition; liberty of firms or governmental control; equal incomes or incentives for individual efforts; attitude concerning capitalism versus government ownership; postmaterialism (scale); expectation of future development (less emphasis on money and material possessions, greater respect for authority); trust in institutions; satisfaction with democracy; assessment of the political system of the country as good or bad (10-point-scale); preferred type of political system (strong leader, expert decisions, army should rule the country, or democracy); attitude towards democracy (scale).

5. Moral attitudes (scale: claiming state benefits without entitlement, cheating on taxes, joyriding, taking soft drugs, lying, adultery,...

Logainm: The Placenames Database of Ireland. Published by Department of Tourism, Culture, Arts, Gaeltacht, Sport and Media. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).The Placenames Database of Ireland was created by the Gaois research group in Fiontar & Scoil na Gaeilge (DCU) in collaboration with The Placenames Branch (Department of Culture, Heritage and the Gaeltacht). This is a comprehensive management system for data, archival records and placenames research conducted by the State. It is a public resource for Irish people at home and abroad, and for all those who appreciate the rich heritage of Irish placenames. The database has been accessible via the logainm.ie public website since 2008. The data is now available via a web-based Application Programming Interface (API) that exposes the database contents to programmatic queries....

Abstract copyright UK Data Service and data collection copyright owner. The British Household Panel Survey (BHPS) ran for 18 waves, from 1991-2009, and was conducted by the ESRC UK Longitudinal Studies Centre (ULSC), together with the Institute for Social and Economic Research (ISER) at the University of Essex. The ULSC, established in 1999, was a continuation of the research resource component of the ESRC Research Centre on Micro-Social Change (MISOC), established in 1989. In addition to running panel studies, ISER undertakes a programme of research based on panel data, using Understanding Society, the BHPS and other national panels to monitor and measure social change. The main objective of the BHPS was to further understanding of social and economic change at the individual and household level in Britain, and to identify, model and forecast such changes and their causes and consequences in relation to a range of socio-economic variables. It was designed as an annual survey of each adult member (aged 16 years and over) of a nationally representative sample of more than 5,000 households, making a total of approximately 10,000 individual interviews. The same individuals were re-interviewed in successive waves and, if they left their original households, all adult members of their new households were also interviewed. Children were interviewed once they reach the age of 16; there was also a special survey of household members aged 11-15 included in the BHPS from Wave 4 onwards (the British Youth Panel, or BYP). From Wave 9, two additional samples were added to the BHPS in Scotland and Wales, and at Wave 11 an additional sample from Northern Ireland (which formed the Northern Ireland Household Panel Study or NIHPS), was added to increase the sample to cover the whole of the United Kingdom. For Waves 7-11, the BHPS also provided data for the European Community Household Panel (ECHP). For details of sampling, methodology and changes to the survey over time, see Volume A of the documentation (Introduction, Technical Report and Appendices). Further information may be found on the ISER BHPS webpages.For the eighth edition (October 2018) all data files were replaced with new versions. The main changes are: a) the addition to the main dataset of net income variables, previously released separately; b) the addition of variables to assist linkage to the Understanding Society dataset (SN 6614) which includes BHPS sample members; c) some enhancements to data included in the XWAVEDAT file, and d) a range of data corrections mainly from user comments: these include limited corrections to income data, fixing issues with employment history and occupation data at wave 18 and some issues with weights. Volume A of the documentation has been updated to provide further details on the changes. This edition also splits the previous SN 5151 into an End User Licence (EUL) / Special Licence split to reflect Understanding Society. The variables excluded from the EUL version relate to month of birth (day of birth is not included in either version), full occupation codes, rare country of birth / nationality occurrences, and the full urban-rural classification. Data users should also note that the income variables have been top-coded for the EUL release.