On 14th June 2016, the Central Statistics Office (CSO) released the Preliminary Report for Census 2016. The preliminary results are the initial count of the census. They are based on the summary counts for each enumeration area which were compiled by the 4,663 census enumerators and which have been returned to the CSO in advance of the census forms themselves. Further detailed results will be released in different phases as they become available during 2017, commencing with the Principal Demographic Results

BackgroundDevelopmental and acquired paedophilic behaviour are considered two distinct phenomena, yet no study has systematically compared the cognitive profiles of individuals committing these forms of child sexual offenses (CSO). This study explored whether individuals with developmental and acquired paedophilic behaviour are characterised by similar or different neuropsychological underpinnings and how these differences manifest themselves in observable behaviour.MethodsThirty-four studies on developmental CSO and 17 (describing 21 cases) on acquired CSO were included. Multivariate meta-analytic approaches were adopted to investigate the cognitive abilities of individuals who committed CSO with (P+CSO) and without (CSO) a diagnosis of paedophilia (P), while a systematic review was conducted to identify the cognitive features of acquired CSO.ResultsMeta-analytic findings showed overall worse neuropsychological performances for developmental CSO compared to the control group (μ = −0.186; p = .002). Subgroup analyses confirmed these results for both CSO (μ = −0.232; p

Dataset created by merging the records held by the Office for the Scottish Charity Register with an administrative database, Milo, managed by the Scottish Council for Voluntary Organisations and used by the 32 third sector interface organisations (TSIs). It records all organisations held on either database, including additional operational sites for registered charities, and voluntary sector organisations that are not registered charities. The methods used to match the databases are described in the documentation. The database is also coded using the International Classification of Non-Profit Organisations (ICNPO) by searching for keywords in the organisation name and/or aims. A geographic identifier (datazone) is given for each organisation, and the relevant Scottish Index of Multiple Deprivation Quintile, and Rural-Urban Classification, is given for this location. Civil society organisations (CSOs) have always gathered and used information in some shape or form. However, on-going developments in modern digital computing, telecommunications, and mobile technologies mean that the early 21st century is bringing new opportunities and challenges for organisations seeking to extract value from the data they hold. This Civil Society Data Partnership project is a collaboration between the Scottish Council of Voluntary Organisations (SCVO) and the Universities of Stirling and St Andrew's. The project is centred at Stirling, combining social statistics expertise in the management and analysis of administrative data with a track record of collaborative applied social science research with CSOs. St Andrews brings expertise in CSO management and strategy, while SCVO provides a network of CSOs and expertise in engagement. Significant institutional investment in this project from all three partners shows their commitment to developments in this field. It forms part of Phase III of the ESRC's investment in the Big Data Network. It aims to develop the availability of administrative data on CSOs, while also helping civil society organisations to improve their ability to work with data. Scottish data, civil society and research organisations make a sensible focus for the project, since activities are substantially organised with Scotland whilst dealing with issues and resources that are of relevance to, and have the potential to contribute, across the UK. This proposal focusses on Scotland for a number of reasons. The standardised collection of CSO data at the local level promises a much more comprehensive list of civil society activity than relying on charity register data alone would provide. Capacity building with the established network of Third Sector Interfaces (TSIs) (similar to Councils of Voluntary Service in England & Wales) collecting this data has the potential not only to increase data use amongst CSOs, but also to improve the quality of data collection as the accurate recording of information becomes more valuable to those collecting it. The relatively advanced state of administrative data linkage in Scotland (e.g. indexed health records) opens up great potential for the further linking of CSO data to other sources, increasing both the research and policy impact. Lastly, the greater inequality of both income and health between communities in Scotland than elsewhere in the UK (Morelli and Seaman, 2012; Bell and Eiser, 2013) creates a compelling case for better understanding how both civil society participation and service provision is distributed across communities. The work will facilitate the provision of better data on the characteristics of Scottish civil society activity (including organisations, service provision, employment and volunteering) to researchers and policy practitioners in government, academia, and civil society itself. This data will be drawn from the Milo database of civil society organisations collected by local civil society infrastructure bodies across Scotland. Use of this data will increase understanding of how both civil society participation and service delivery is distributed across communities, and its relationship with inequality and deprivation. We will also develop the capacity of civil society organisations to make use of both the data they generate and the other data sources becoming more widely available, thereby supporting performance enhancements in service provision and organisational practice. Finally, the project will help to support collaborations between academics, public sector organisations and CSOs in Scotland to propose substantive research projects making use of this data that will impact policy and/or practice. The methods used to clean and match the databases to one another and to geographical data, are described in the documentation. The database includes some records for umbrella and parent organisations based in the rest of the UK or overseas.

There is a requirement, as per Commission Implementing Regulation (EU) 2018/1799, to deliver Census data for the reference year 2021 to Eurostat. In September 2020, the Irish Government decided to postpone the scheduled April 2021 Census to April 2022 following a recommendation from CSO related to the impact of the Covid-19 pandemic. The CSO however has agreed that the office will still meet its legal requirement. It will base the Eurostat requirements on Census 2022 data, using administrative and other sources to appropriately adjust the data to reference year 2021. A (preliminary) headcount of usual residents at the 1 km² grid level (there are approximately 73,000 such square kilometres in Ireland) is required by Eurostat by 31^st December 2022. The data was produced in the following manner:

Initial preliminary Census estimate for April 2022 As part of the field operation for the 2022 Census, the CSO introduced a new smartphone-based application that allowed field staff to capture information about every dwelling in the country. This application facilitated the production of a preliminary population publication less than 12 weeks (June 23^rd) after census night (April 3^rd). The information includes data on the number of de facto occupants. This information is provisional, and the final file will not be completed until all collected paper forms are fully processed, which is expected to be around the end of January 2023. The provisional data should however be a very strong indicator of the final results.

The preliminary Census de facto population estimate was 5,123,536 persons, available at the 1 km² grid level. As we need the population on a usual resident basis, it was decided to adjust this estimated de facto population at the 1 km² grid level by applying the arithmetic differences between the 2016 usual resident and de facto population counts at that level to the de facto population for 2022. A ratio model, where rates of change of de facto to usual resident counts are applied instead of differences, was also considered but this led to more extreme adjustments, mainly where there was a large change in the population count of a cell between 2016 and 2022. This reduced the usual resident population to 5,101,268 for April 2022, a fall of 22,268 persons.

Temporary Absent Dwellings Census also provided data on the temporarily absent dwellings dataset (at 1 km² grid level), containing a count of persons usually resident in the State but whose entire household were abroad on census night and therefore not included in the de facto population count. This covers 33,365 temporarily absent dwellings with 50,749 temporarily absent persons across 9,138 grid cells. This category was not present in the 2016 figures so it was decided to include these absent persons as they meet the definition of usual residents and will be present in the final transmission, due March 2024. The resulting usually resident population count for 3^rd April 2022 was estimated as 5,152,671 persons.

Note that in a small number cases (80 grid cells), adjustments resulted in a negative cell value, but these were set to zero.

Final preliminary estimate

The CSO then adjusted this figure of estimated usual residents for 3^rd April 2022 back to the 3^rd December 2021 reference point by performing a reverse cohort-survival model.

Firstly, there are an estimated 21,528 births, some 12,405 deaths and approximately 63,595 inward and 25,730 outward migrants for the four-month period December 2021 to March 2022. This affects a total of approximately 123,000 persons, or about 2.4% in a total population of around 5.15 million persons. These population changes were ‘reversed’, as indicated below. Secondly, we also ‘reversed’ those persons who moved from their address within Ireland after December 3^rd 2021 to their Census April 3^rd 2022 address. Based on the selection method approximately 85,000 persons were moved to their previous address, representing about 1.7% of the population.

The steps in the process were:

Births We took the actual November 2015 to April 2016 births from Census 2016 with the variables grid reference, gender and NUTS3 as the sampling frame for the selection of births. Then, using data from table 19 in the Q1 2022 Vital Stats quarterly release (Table VSQ19 on Statbank), we derived the number of Q1 2022 births at NUTS3 by gender level. We also included a proportion of Q4 2021 births, taking one-third to represent December 2021. There are 21,528 births in total for the four-month period we are interested in (16,121 for Q1 2022 plus a third of the value of Q4 2021 which is 5,407), see table 2. Then, using the SAS procedure surveyselect, we selected, at random, the required number of births per strata from the frame and totalled up per grid reference. The resulting figure is the number of people removed from the Census 2021 grid totals, as these figures represent those born during December 2021 to March 2022.

We took the entire Census 2016 data with the variables grid reference, gender, NUTS3 and broad age group (0-14, 15-29, 30-49, 50-64, 65-84 and 85+) as the sampling frame for the selection of people to add back in who died between December 2020 and March 2022. This stratification results in 96 cells. This frame serves as a proxy for the distribution of deaths across the 1km grid square strata. Next, we obtained the Q4 2021 and Q1 2022 mortality data stratified by gender, NUTS3 and age group, provided by the Vital Stats statistician. The total number is 12,405 deaths for the four-month period of interest (9,535 for Q1 2022 plus one third of the value for Q4 2021 which is 8,626), see tables 3 and 4.

Then using the SAS procedure surveyselect, we selected, at random, the required number of deaths per strata from the frame and total up per grid reference. The resulting figure is simply the number of people added to the Census 2021 grid figures as summarised at the grid level, as they represent those who died during December 2021 to March 2022.

Inward and outward migrants

The processing of the inward and outward migrants essentially follows the same methodology in that we used Census 2016 as a sampling frame for the inclusion of those who emigrated in December 2021 and March 2022 and the exclusion of those who immigrated in the same period.

We took the Census 2016 with the variables grid reference, gender, NUTS3, broad nationality (Irish, UK, EU14 excl. IE, EU15 to 27 and Rest of the World) and broad age group (0-14, 15-29, 30-49, 50-64, 65-84 and 85+) as the sampling frame for the selection of migrants. Using the Q4 2021 and Q1 2022 migration data, we got the required inward and outward movers. The Population and Migration statistician provided the data at an individual level for our purposes. There are 63,780 inward migrators (53,403 in Q1 2022 and 10,377 taking one-third of the Q4 2021 values) and 25,730 outward migrators (19,779 in Q1 2022 and 5,951 taking one-third of the Q4 2021 values), see tables 5 to 7.

Then, using SAS procedure surveyselect, we selected, at random, the required number of inward and outward migrants per strata from the frame and sum over grid reference. Given that there will be more inward than outward migrants, the resulting figures will generally be negative i.e., the population will fall.

Ukrainian refugees There are no official statistics, but it was estimated that there were more than 23,000 Ukrainian refugees present in the State in April 3 2022. It is difficult to know the exact numbers captured by the Census until the full final dataset is available. Ukrainian refugees were to be counted as immigrants and usual residents (UR) on the census form unless an individual classed themselves as a visitor, in which case they were de facto (DF) residents. From the point of view of the procedure being described here, Ukrainians who are classified

Metered network gas data on a Dublin postal district level from 2010-2019, translated from a HTML to parquet files.

Original dataset can be found at https://www.cso.ie/en/releasesandpublications/er/ngc/networkedgasconsumption2019/

This feature layer represents the proportion of the population who own their home (owned outright or owned with mortgage or loan). The layer has been developed as a proxy to represent SDG 1.4.2 ‘Proportion of Total Adult Population with Secure Tenure Rights to Land' for Ireland. Census 2016 data produced by the Central Statistics Office (CSO) and Administrative County boundary data produced by Tailte Éireann were used to create this feature layer.In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and Tailte Éireann are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 1 which aims to end poverty in all its forms everywhere.This indicator was previously named 1.4.2, however we have now published two datasets to measure progress towards Target 1.4, therefore this dataset will be 1.4.2a and the second dataset is called 1.4.2b.

VSB11 - Same Sex marriages celebrated (Number) by Sex, Regional Authority, Year and Form of Ceremony. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Same Sex marriages celebrated (Number) by Sex, Regional Authority, Year and Form of Ceremony

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This feature layer represents the proportion of the population who own their home (owned outright or owned with mortgage or loan). The layer has been developed as a proxy to represent SDG 1.4.2 ‘Proportion of Total Adult Population with Secure Tenure Rights to Land' for Ireland. Census 2016 data produced by the Central Statistics Office (CSO) and Electoral Division boundary data produced by Tailte Éireann were used to create this feature layer.In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and Tailte Éireann are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 1 which aims to end poverty in all its forms everywhere.This indicator was previously named 1.4.2, however we have now published two datasets to measure progress towards Target 1.4, therefore this dataset will be 1.4.2a and the second dataset is called 1.4.2b.

Analysis of ‘Census 2016 Preliminary Results’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/72178122-88ff-45c4-a67d-699a8fda7542 on 14 January 2022.

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

On 14th June 2016, the Central Statistics Office (CSO) released the Preliminary Report for Census 2016. The preliminary results are the initial count of the census. They are based on the summary counts for each enumeration area which were compiled by the 4,663 census enumerators and which have been returned to the CSO in advance of the census forms themselves. Further detailed results will be released in different phases as they become available during 2017, commencing with the Principal Demographic Results

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

VSB09 - Same Sex marriages celebrated (Number) by Year, Regional Authority and Form of Ceremony. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Same Sex marriages celebrated (Number) by Year, Regional Authority and Form of Ceremony

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Mediennutzung. Bürgerliches Engagement. Themen: 1. Mediennutzung: Zugriff auf Nachrichten im Internet in den letzten zwei Tagen; Art des Zugriffs: Website der Nachrichtenquelle, Website oder App eines Nachrichtenaggregators, von Freunden geteilte oder in persönlichen sozialen Netzwerken gepostete Artikel oder Posts, Messaging-App, Suchmaschine, Email-Newsletter oder Benachrichtigungen, Emails von Verwandten, Freunden oder Bekannten; Reaktion auf die Nachrichten: Diskussion mit Verwandten, Freunden oder Kollegen, Senden eines Artikels oder Videos über diese Nachricht an jemanden, Kommentieren oder Teilen der Nachricht in sozialen Netzwerken im Internet, Teilen der Nachricht über eine Messaging-App, Hinterlassen eines Kommentars auf einer Nachrichten-Website, Suche nach mehr Informationen über das Thema, Speichern des Artikels für später, Online-Suche für mehr Informationen; in den letzten 7 Tagen genutzte soziale Netzwerke im Internet. 2. Bürgerliches Engagement: Gefühl der Informiertheit durch Zivilgesellschaftliche Organisationen (ZGO) in Bezug auf für den Befragten bedeutende Themen; Engagement bei ZGOs im eigenen Land auf die folgenden Arten: Teilnahme an von ZGOs organisierten Demonstrationen o.ä., regelmäßige ehrenamtliche Aktivitäten für ZGOs, Engagement für ZGOs hauptsächlich online oder in sozialen Netzwerken im Internet, aktive Ermunterung anderer für ein Engagement bei einer ZGO, Geldspenden an ZGOs, anderes Engagement, kein Engagement für ZGOs; Engagement der ZGO des Befragten in Bezug auf europäische Angelegenheiten; Faktoren zur Erhöhung des persönlichen Engagements bei ZGOs: Überzeugung der Wirksamkeit des persönlichen Engagements, Wissen um die Verwendung des persönlichen finanziellen Beitrags durch die ZGO, Teilnahme an konkreten von der ZGO organisierten Aktivitäten, regelmäßige Informationen zu laufenden Aktivitäten und Projekten, Anerkennung der eigenen Meinung und des persönlichen Beitrags, Rückmeldung zu Erreichtem, Möglichkeit der Wahl einer flexiblen Form des Engagements, anderes; wichtigste Tätigkeitsfelder für ZGOs im eigenen Land; Auswirkungen von wahrgenommenen Kampagnen in den letzten zwei Jahren auf das persönliche Verhalten: Teilen eines Videos oder Bildes der Kampagne, Diskussion des Kampagnen-Themas mit Verwandten, Freunden oder Kollegen, Entschluss zur Teilnahme an Wahlen, Aufnehmen konkreter Aktivitäten, Teilnahme an öffentlichen Diskussionen zum Thema der Kampagne, Teilnahme an Online-Besprechungen zum Thema der Kampagne, Online-Recherche zu weiteren Informationen zum Kampagnen-Thema, Entschluss für eine Geldspende an eine ZGO, anderes; Teilnahme an öffentlichen Beratungen in der eigenen Stadt in den letzten zwölf Monaten; Nützlichkeit der Initiative; Gründe zur Bewertung der Initiative als nützlich; Gründe zur Bewertung der Initiative als nicht nützlich; Rezeption von Medienberichten über Aktivitäten des Europäischen Parlaments in der letzten Zeit; allgemeine Richtung der Dinge in der EU. Demographie: Häufigkeit der Internetnutzung; Image der EU; Einschätzung der EU-Mitgliedschaft des eigenen Landes als positiv; Alter; Geschlecht; Staatsangehörigkeit; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Region; Urbanisierungsgrad; Besitz eines Mobiltelefons; Festnetztelefon im Haushalt; Haushaltszusammensetzung und Haushaltsgröße; Nationengruppe; Gewichtungsfaktor. Zusätzlich verkodet wurde: Befragten-ID; Land; Interviewmodus (Mobiltelefon oder Festnetz. Media habits. Civic engagement. Topics: 1. Media habits: access news online in the last two days; kind of access: website of the news source, news aggregator app or website, articles or posts in personal online social networks or that were shared by friends, messaging app or alerts, search engine, email newsletters or notifications, email from relatives, friends, or acquaintances; reaction to the news: discuss it with relatives, friends, or colleagues, send an article or video about that news to someone, comment on or share the news on online social networks, share the news on a messaging app, leave a comment on a news website, search for more information about the topic, save the article for later, research online to try to learn more; online social networks used in the last 7 days. 2. Civic engagement: feeling of being informed by civil society organisations (CSOs) about issues that matter to the respondent personally; engagement with CSOs in the own country in the following ways: participation in demonstrations or similar activities organized by a CSO, regular volunteering in various activities for CSOs, engagement with CSOs mainly online or on social networks, actively encouraging other people to engage with a CSO, donate money to CSOs, engagement in another way, no engagement with CSOs; engagement of respondent’s CSO in European issues; factors that increase personal engagement in CSOs: conviction that personal engagement will have a real impact, knowledge how personal financial engagement will be used by the CSO, participation in concrete activities organized by CSOs, regular information on ongoing activities and projects, own opinion and input are taken into account, receive feedback on what has been achieved, choose a flexible form of engagement, other; most important topics to be treated by CSOs in the own country; impact of campaigns seen in the last two years on personal behaviour: share a video or an image from this campaign, discuss the campaign topic with relatives, friends, colleagues, decide to vote in elections, take concrete actions, take part in public discussions on the campaign topic, take part in an online consultation on the campaign topic, do some research online to find out more about the campaign topic, decide to donate money to a CSO, other; participation in public consultations in the own city in last twelve months; usefulness of the initiative; reasons for considering the initiative useful; reasons for considering the initiative not useful; recent reception of media reports on activities of the European Parliament; general direction things are going in the EU. Demography: frequency of internet use; image of the EU; assessment of the own country’s membership in the EU as a good thing; age; sex; nationality; age at end of education; occupation; professional position; region; type of community; own a mobile phone and fixed (landline) phone; household composition and household size; nation group; weighting factor.Additionally coded was: respondent ID; country; type of phone line.

Marriages Registered (Number) by Country of Residence, Form of Ceremony, Year and Bride and Groom

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Media habits. Civic engagement. Topics: 1. Media habits: access news online in the last two days; kind of access: website of the news source, news aggregator app or website, articles or posts in personal online social networks or that were shared by friends, messaging app or alerts, search engine, email newsletters or notifications, email from relatives, friends, or acquaintances; reaction to the news: discuss it with relatives, friends, or colleagues, send an article or video about that news to someone, comment on or share the news on online social networks, share the news on a messaging app, leave a comment on a news website, search for more information about the topic, save the article for later, research online to try to learn more; use of selected online social networks in the last week. 2. Civic engagement: feeling of being informed by civil society organisations (CSOs) about issues that matter to the respondent personally; engagement with CSOs in the own country in the following ways: participation in demonstrations or similar activities organized by a CSO, regular volunteering in various activities for CSOs, engagement with CSOs mainly online or on social networks, actively encouraging other people to engage with a CSO, donate money to CSOs, engagement in another way, no engagement with CSOs; engagement of respondent’s CSO in European issues; factors that increase personal engagement in CSOs: conviction that personal engagement will have a real impact, knowledge how personal financial engagement will be used by the CSO, participation in concrete activities organized by CSOs, regular information on ongoing activities and projects, own opinion and input are taken into account, receive feedback on what has been achieved, choose a flexible form of engagement, other; most important topics to be treated by CSOs in the own country; impact of campaigns seen in the last two years on personal behaviour: share a video or an image from this campaign, discuss the campaign topic with relatives, friends, colleagues, decide to vote in elections, take concrete actions, take part in public discussions on the campaign topic, take part in an online consultation on the campaign topic, do some research online to find out more about the campaign topic, decide to donate money to a CSO, other; participation in public consultations in the own city in last twelve months; usefulness of the initiative; reasons for considering the initiative useful; reasons for considering the initiative not useful; recent reception of media reports on activities of the European Parliament; general direction things are going in the EU. Demography: frequency of internet use; image of the EU; assessment of the own country’s membership in the EU as a good thing; age; sex; nationality; age at end of education; occupation; professional position; region; type of community; own a mobile phone and fixed (landline) phone; household composition and household size; nation group; weighting factor. Additionally coded was: respondent ID; country; type of phone line.

Persons aged 15 years and over who do not participate in walking or any other form of sport or physical activity (%) by Reason for Non-Participation, Quarter and Sex

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This feature layer represents the proportion of dwellings without basic services (no central heating, no piped water supply or no sewerage facilities). The layer has been developed to represent SDG 1.4.1 'Proportion of Population Living in Households with Access to Basic Services' for Ireland. Census 2016 data produced by the Central Statistics Office (CSO) and NUTS 3 boundary data produced by Tailte Éireann were used to create this feature layer.In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and Tailte Éireann are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 1 which aims to end poverty in all its forms everywhere.

Persons aged 15 years and over who do not participate in walking or any other form of sport or physical activity (%) by Reason for Non-Participation, Quarter and Degree of Urbanisation

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Persons aged 15 years and over who do not participate in walking or any other form of sport or physical activity (%) by Reason for Non-Participation, Quarter and Principal Economic Status

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This feature layer represents Sustainable Development Goal indicator 1.2.1 'Proportion of Population Living Below the National Poverty Line' for Ireland in 2018. The layer was created using 'at risk of poverty rate' data from the Survey on Income and Living Conditions (SILC) 2018 produced by the Central Statistics Office (CSO) and NUTS 3 boundary data produced by Tailte Éireann. The data set includes at risk of poverty rates from 2004 through to 2018.The NUTS3 boundaries were amended on the 21st of November 2016 (Regulation (EC) No 2066/2016). Data for years 2004-2011, inclusive, refer to the former Regional Authorities established under the NUTS Regulation (Regulation (EU) 1059/2003) (more info). Data for years 2012-2018 refer to the current NUTS3 boundaries. The changes resulting from the amendment are that Louth has moved from the Border to the Mid-East and what was formerly South Tipperary has moved from the South-East to the Mid-West. An overall value for State is also included within this feature service, however to symbolise by NUTS3 region this value has been filtered out of the map view. The filter can be removed by clicking on the filter icon in the map viewer. In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and Tailte Éireann are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 1 which aims to end poverty in all its forms everywhere.

This feature layer represents Sustainable Development Goal indicator 1.1.1 'Proportion of the Population in Consistent Poverty' for Ireland in 2018. The layer was created using consistent poverty rate data from the Survey on Income and Living Conditions (SILC) 2018 produced by the Central Statistics Office (CSO) and NUTS 3 boundary data produced by Tailte Éireann. The data set includes consistent poverty rates from 2004 through to 2018. The NUTS3 boundaries were amended on the 21st of November 2016 (Regulation (EC) No 2066/2016). Data for years 2004-2011, inclusive, refer to the former Regional Authorities established under the NUTS Regulation (Regulation (EU) 1059/2003) (more info). Data for years 2012-2018 refer to the current NUTS3 boundaries. The changes resulting from the amendment are that Louth has moved from the Border to the Mid-East and what was formerly South Tipperary has moved from the South-East to the Mid-West. An overall value for State is also included within this feature service, however to symbolise by NUTS3 region this value has been filtered out of the map view. The filter can be removed by clicking on the filter icon in the map viewer. In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and Tailte Éireann are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 1 which aims to end poverty in all its forms everywhere.