Spatial Indicators

Strategic Performance Indicators -View and Download Data via Interactive Tables

The AIRO indicator section contains links to our interactive data visualisations. Data visualisations provide access to data in an interactive, selectable and accessible manner. In this section you can view, select, filter, visualise amd download data to suit your needs.

Browse our Data Viz archive or explore AIROs work on the Regional Planning Guideline (RPG) Indicators or view the working example that is the Europe 2020 sustainable growth strategy, an example of how a long term strategic planning can be performance monitored.

Note: All data visible is available for download by selecting the table and selecting the "Export" icon at the bottom if the interactive table. The entire worksheet may be exported as a jpeg or pdf also.

Select from the following reports

Census 2011 Principal Demographic Results

Following the launch of the 2011 Census Principal Demographic Results, AIRO have developed a series of data visualisations to help with making the census outputs more accessible and interactive for the general public. We feel this is a way of adding lots of extra value to the great work already carried out by the CSO.

We have mirrored the CSO PDR output structure as closely as possible and developed 48 fully interactive tables. Each table is based on the 2011 results and we have also integrated census data from 2006 and 2002 where possible to provide users with a time series option.

These tools allow the user to select specific data of interest using clever filters that visualise what data the user wants to see. Visualisations can be downloaded, exported as images or extracted as raw data. Visualisations may also be embedded in other websites using the share option. For help or feedback contact AIRO here.

To access the official data release from the CSO please click here.

Principal Demographic Results 2011, Tables 1 to 10 (Population, Age, Sex and Marital Status)

Table 1: Population at Each Census Since 1841 by Province or County,Year, Sex and Census years

Table 2: Population at Each Census Since 1926 by Sex, Census years, Year and Age Group

Table 3: Percentage Change in Population by Constituency, Year, Census years and statistic (2002-2011).

Table 4: Percentage Change in Population by Sex, Province County or City, Year, Census years and Statistic (2002-2011)

Table 5: Population by Aggregate Town or Rural Area, Age Group, Year, Sex and Detailed Marital Status (2006-2011)

Table 6: Population by Sex, Province County or City, Year, Age Group and Detailed Marital Status, 2011

Table 7: Population by Sex, Province County or City, Year and Detailed Marital Status (2006-2011)

Table 8: Population by Sex, Province County or City, Year and Age Group (2006-2011)

Table 9: Population by Age last birthday, Year, Sex and At Each Year of age, 2011

Table 10: Average Number of Persons per Private Household by Province County or City, Year and Statistic (2006-2011)

Principal Demographic Results 2011, Tables 11-20 (Household Composition, Family Units, Children Born)

Table 11: Persons in Communal Establishments by Type of Communal Establishment, Year, Sex and Persons Per Establishment, 2006-2011

Table 12: Private Households by Composition of private household, Persons per Household and Year , 2006-2011

Table 13: Population by Province County or City, Year, Persons per Household and Composition of private household, 2011

Table 14: Private Households by Province County or City, Year, Number of Private Households and Type of household, 2006-2011

Table 15: Private Households by Sex, Marital Status of Reference Person, Year, Number of Private Households and Age group of reference person, 2011

Table 16: Population Aged 65 Years and Over by Sex, Province County or City, Year, Age Group and Statistic , 2011

Table 17: Private Households by Type of family unit, Age group of child, Year and Children per Family Unit, 2011

Table 18: Family Units with One Child Only in Private Households by Type of family unit, Year and Age group of child, 2006-2011

Table 19: Units with Two or More Children in Private Households by Type of family unit, Age group of youngest child, Year and Age group of eldest child, 2006-2011

Table 20: Females Usually Resident and Present in the State on Census Night by Marital Status, Age Group, Year and Number of children born alive, 2006-2011

Principal Demographic Results Tables 21-30 (Ethnicity, Nationality, Residency and the Travelling Community)

Table 21: Population by Usual Residence, Year, Sex and Type of Communal Establishment, 2011

Table 22: Population Usually Resident and Present in the State by Birthplace, Year, Sex and Age Group, 2006-2011

Table 23: Population Usually Resident and Present in the State by Birthplace, Year, Sex and Province County or City, 2011

Table 24: Population Aged One Year and Over Usually Resident and Present in the State by Usual Residence One Year Previously, Year, Sex and Irish / Non-Irish, 2006-2011

Table 25: Population by Year of taking up residence in Ireland (Republic), Country of Previous Residence, Year, Birthplace and Age Group

Table 26: Population Usually Resident and Present in the State by Age Group, Nationality, CensusYear, Sex and Statistic, 2006-2011

Table 27: Population Usually Resident and Present in the State by Sex, Age Group, Year and Ethnic or Cultural background, 2006-2011

Table 28: Irish Travellers as a Proportion of the Total Population by Province County or City, Year, Statistic and Sex, 2011

Table 29: Irish Travellers by Sex, Age Group, Year and Detailed Marital Status, 2006-2011

Table 30: Irish Travellers in Private Households (Number) by Province County or City, Year and Type of household, 2006-2011

Principal Demographic Results Tables 31 to 40 (Irish Speakers, Religion and Housing)

Table 31: Population Aged Three Years and Over and Percentage of Irish Speakers by Sex, Age Group, Year and Statistic, 2006-2011

Table 32: Irish Speakers Aged 3+ by Sex, Age Group, Year, Gaeltacht Areas and Frequency of speaking Irish outside the education system, 2011

Table 33: Irish Speakers Aged 3+ Who Speak Irish Daily Within the Education System by Sex, Age Group, Year, Gaeltacht Areas and Frequency of speaking Irish outside the education system, 2011

Table 34: Ability to Speak Irish of Population Aged Three Years and Over by Gaeltacht Areas, Statistic, Year and Age Group, 2011

Table 35: Percentage Change in Population by Sex, Religion, Census Year and Statistic, 2002-2011

Table 36: Population by Province or County, Religion, Census Year and Statistic, 1891-2011

Table 37: Population Usually Resident and Present in the State (Number) by Sex, Nationality, Year and Religion, 2011

Table 38: Private Households in Permanent Housing Units by Province County or City, Year and Type of Private Accommodation, 2006-2011

Table 39: Private Households in Permanent Housing Units by Aggregate Town or Rural Area, Province County or City, Year, Nature of occupancy and Period in which built

Table 40: Private Households in Permanent Housing Units by Aggregate Town or Rural Area, Province County or City, Year, Number of Rooms Occupied and Period in which built

Principal Demographic Results Tables 41 to 48 (Housing continued, Rent, Occupancy & Languages))

Table 41: Private Households in Permanent Housing Units by Aggregate Town or Rural Area, Province County or City, Year, Type of Central Heating and Period in which built

Table 42: Private Households in Permanent Housing Units by Aggregate Town or Rural Area, Province County or City, Year, Type of water supply and Period in which built

Table 43: Private Households in Permanent Housing Units by Aggregate Town or Rural Area, Province County or City, Year, Type of sewerage system and Period in which built

Table 44: Rented Private Dwellings in Permanent Housing Units including Weekly and Average Rent by Nature of occupancy, Statistic, Year and Type of Private Accomodation, 2006-2011

Table 45: Permanent Housing Units by Occupancy Status by Province County or City,Year and Statistic, 2006-2011

Table 46:Persons usually resident and present in the state who speak a language other than English or Irish at home by Birthplace, Language Spoken, Year and Age Group, 2011

Table 47: Persons usually resident and present in the state who speak a language other than English or Irish at home by Nationality, Year, Sex and Ability to Speak English, 2011

Table 48: Persons usually resident and present in the state who speak a language other than English or Irish at home by Birthplace, Ability to Speak English, Year and Age Group, 2011

Profile 2 - Ages

Table CD203 Population Aged 65 Years and Over in Private Households by Sex, Regional Authority

Table CD209 - Population (Number) by Towns, Sex and Age Group

Table CD211 Enumerated Population by Age Group - Historical

Table CD214 - Age Dependency Ratios by Province County or City, Sex and Age Group

KITCASP

Economic Competitiveness and Resilience

Iceland

Scotland

KITCASP Partners: GDP

Environmental Resource Management

Iceland

Combined Regional Waste Indicator

Managed (integrated) Spatial Development

Scotland

GDA Territorial Performance Monitoring (ESPON TPM)

The Project

Territorial development at the regional level is becoming increasingly important for effectively addressing local and regional transformations as well as challenges at the European level. However, knowledge on the specific regional consequences of macro-challenges is limited and appropriate regional planning tools are rare. The Territorial Performance Monitoring (TPM) project focuses on European and global challenges with specific regional consequences:

climate change,
energy supply,
demographic development
and globalisation.

The aim is to establish knowledge on how territorial impacts of these macro challenges translate at the regional level and how to deal with these challenges effectively. It is considered important to share experiences and to exchange best practices that could be used to improve the effectiveness of how territorial strategies are implemented.

Stakeholders

The Dublin Regional Authority (DRA) is one of the five stakeholders involved in the project. The other stakeholders are as follows;

Department for Town and Country Planning, Housing Policy and Heritage,Flemish Government, Belgium (Lead Stakeholder)
Government of Catalonia, Ministry of Town and Country Planning and Public Works, Spain
Ministry of Economic Affairs and Energy of the State of North Rhine-Westphalia, Germany
Government of Navarra, Department of Housing and Spatial Planning, Spain

Planning System in the GDA

It is important to note at this point that there is a distinct difference between the planning system that operates within the GDA and the other 4 participating regions in this project. These regions all have a large range of legislative competencies for territorial policies in areas such as housing, demographics, economic development, transport, environment quality and planning, climate change, energy, water and waste management etc. Compared to other European states, the regional and local government system in Ireland are relatively weak with a much more limited range of functions and powers. Local Authorities do not have a role in policing, public transport or personal social services and powers in respect of education, health and agriculture are also very limited. The main social function relates to housing. The lack of financial autonomy within Local Authorities, with all funding coming from central government, also severely curtails their scope for independent action. In general, core competencies on most policies are managed by various Government Departments at the national level. The Regional Authorities (including the GDA) have an even more limited range of functions and powers with core responsibility being the development of the Regional Planning Guidelines (RPGs) and review of CDPs to ensure successful alignment with national policies such as the NSS and associated guidance documents.

Indicators and Monitoring Tool

Unlike other regions in this project, the GDA, therefore does not have specific policies and strategies for the macro-challenges of this project (demographics, globalisation, climate change and energy) but instead develops a series of guidance and recommendations that aim to align local implementation within the region in a coherent manner with national policies. At the moment there are no specific monitoring tools available for the regional authorities in the GDA. A large inventory of performance indicators have been highlighted as being useful in measuring the implementation of the plan, but it has been clearly stated within the documentation that all reporting will be dependent on the resources available to the DRA during the life time of the plan.

As part of this project the research partner in Ireland, the National Institute for Regional and Spatial Analysis (NIRSA) has developed a monitoring tool for the challenges outlined within this project. Both quantitative and qualitative indicators have been developed and are linked to specific policies within the RPGs. For further information see the sections below.

Climate Change

Indicators

The ESPON TPM project has identified the following climate change indicators, click on the links to follow:

C1.0 Anticipated Impacts as a Result of Climate Change 2050

C1.1 Overview of Sub-national Climate Change Strategies 2010

C1.2 Perceived Barriers to Local Authorities Addressing Climate Change

C1.3 Climate Change Strategies Published at County Level 2010

C2.0 Listed NATURA 2000 Areas

C3.0 Water Quality

C4.0 Siemens Green Cities Climate Index

Demography

The ESPON TPM project has identified the following demographic indicators, click on the links to follow:

D1.0 Population Growth

D2.0 Population Density Change 2002-2011

D3.0 Affordable Quality Housing

D4.0 Percentage Population Aged 65+

D5.0 Life Expectancy

D6.0 Young Age Dependency Ratio

D6.1 Old Age Dependency Ratio

D7.0 Ethnic Composition (i)

D7.1 Ethnic Composition (ii)

D8.0 Quality of Local Education

D9.0 Level of Education Attained

D10.0 Qualification of Labour Force - PT1

G10.1 Qualification of Labour Force - PT2

D11.0 Labour Force

D12.0 Unemployment

D13.0 Unstable Unemployment - Live Register

D14.0 Quality of Life

D15.0 At Risk of Poverty

D16.0 Deprivation

Energy

The ESPON TPM project has identified the following energy indicators, click on the links to follow:

E1.0 Energy Saving Behaviour

D2.0 Water Leakage

E3.0 Less Use of Sustainable Transport (Pt 1)

E3.1 Less Use of Sustainable Transport (Pt 2)

E4.0 Recycling

E5.0 Siemens Green Cities Climate Index

E6.0 Population Density Change 2002-2011

Globalisation

The ESPON TPM project has identified the following globalisation indicators, click on the links to follow:

G 1.0 Cost of Office Space

G2.0 Building Sectoral Clusters

G3.0 Components of Population Change

G4.0 New Types of Population

G5.0 Availability of Tourism Accommodation

G5.1 Change in Type of Tourism/Tourists

G6.0 Increase in International Traffic

G7.0 Internet Access

Regional Planning Indicators

Planning and policy making requires informed, objective quantified decision making. A strategy does not stop once the goals and policies have been set out. A strategy is a fluid, long term changeable process, and without the performance measurement of a strategy it is difficult to establish whether the strategy is bringing us towards the accomplishment of our set out goals or not.

Performance measurement is central to the implementation of any strategy. The improved availability of datasets mean it is possible to establish what levels of progress are being made.

AIRO are currently developing a set of performance measurement indicators to work side by side with the development of the Regional Planning Guidelines to improve the quality of implementation and provide a tangible indication of how the documents are functioning as a planning tool across the 8 regional authorities.

The following sections mirror those of the Regional Planning Guidelines and provide detailed monitoring indicators relevant to each section of the RPGs.

Note: Where available, data is presented at Regional (NUTSIII) level, County level and where applicable Settlement level.

1. Settlement Strategy

The purpose of the Settlement Strategy is to set out a guide for the future direction of growth and investment by defining the settlement hierarchy and the identifying of key growth areas.

The indicators listed below aim to provide a monitoring framework to track the progress of population and housing trends in relation to the policy aims and targets.

Indicators:

Census 2011 - Housing Stock, Occupancy & Vacancy

1.1 Housing

The housing indicator provides information on Housing Completions, Permissions and the amount of serviced land available. This data allows us to track the location and level of development at a county level as well as the demand for future housing through permissions. Having data on the amount of serviced land available is key with regard to future housing surplus/demand and land availability.

Interactive table contains:

Housing Completions 2006 - 2010
Housing Permissions 2006 - 2010
Serviced Land Available 2006 - 2010

Source data obtained from the DECLG and is available to download here.

1.2 Population

Based on the DECLG Population projections these indicators summarise each relevant settlement, county and region for the present future years of 2016 and 2022. Data is also provided on the progress made in achieving the population targets and the level of growth required to meet targets.

Interactive Table Contains:

Population 2010
Target Population 2016
Target Population 2022
% Population Growth required to meet 2016 and 2022 targets

Source data obtained from the DECLG and is available to download here

1.3 Unfinished Estates

This set of indicators provide data on the existing situation with regard to unfinished estates. The data has been aggregated to region and county level and provides us with the quantity and status of estates. This data is particularly interesting when viewed comparatively with the housing development indicators.

Interactive Table Contains:

Number/Percentage of Units by Type in each County
Construction Status of Units by Number/Percentage in each County
Summary of Units by County
Source data obtained from the DECLG and available to download here.

2. Economic Strategy

The economic challenges currently being faced in Ireland show us that while policy aims and targets can be set the profile and performance of an economy can change rapidly. This case highlights the need for constant monitoring of the economic performance.

The following indicators aim to track the progress and development of business and employment at a regional and county level.

Indicators:

QHNS - Employment Indicators Q1 2005 - Q4 2012

2.1 Employment Overview

This indicator summarises the employment situation in each county and region. Collectively on one sheet quarterly Employment, Unemployment and Labour Force figures are available to view and download. The Rate of Unemployment and Participation Rate are also available on this indicator sheet. The State Employment, Unemployment and Labour Force Age/Sex distribution figures are available to add context to county and regional figures.

Interactive Table Contains:

Population in Employment
Population Unemployed
Population in Labour Force
Participation Rate
Unemployment Rate
Age/Sex Distribution of Population Values (State only)

Note: All data quarterly from Q1 2005 to Q4 2010

2.2 Disposable Income and GVA

This table summarises the average disposable income at regional level between 2000-2008. Disposable Income is defined as "Total income minus current taxes and social insurance contributions" (CSO)

This indicator also provides a breakdown of Gross Value Added (GVA) at Regional level. A regional comparison for GDP, GVA is defined as "a measure of the value of the final goods and services produced in a region (less the materials and services used which come from outside the region) priced at the value which the producers received minus any taxes payable and plus any subsidies receivable as a consequence of their production or sale" (CSO)

Interactive Table Contains:

Average Disposable Income (2000-2008)
Gross Value Added (GVA) at basic Prices (2000-2008)
GVA per person at basic prices (2000-2008)
Indices of GVA per person at basic prices, EU=100 (2000-2008)
Indices of GVA per person at basic prices, State=100 (2000-2008)
% Change GDP/GNP (2005-2010)

Source data and detailed descriptions and background notes from the CSO available here.

2.3 Tourism

This indicator provides an overview of tourist numbers and tourist revenue for 2009 at at county and regional level.

Interactive Table Contains:

Visitor Numbers by Origin 2009
Tourist Revenue Generated 2009

2.4 Port Traffic

This indicator provides a summary of port traffic for each qualifying region. The indicator measures the tonnage of goods recieved, handled and forwarded for each port in the country.

Interactive Table Contains:

Tonnage of Goods Handled by Irish Ports 2000-2009

Source Data and further details here.

3. Rural Development

In the context of Rural areas the RPGs aim to identify and examine trends and challenges for areas in relation to rural housing, rural community, service provision and rural enterprise.

Monitoring Indicators have been drawn up to improve the knowledge base behind decision making which will allow more informed policy development and rational implementation.

Indicators:

3.1 Urban/Rural Split

This indicator summarizes the Urban/Rural make up of each county an region. Using Electoral Districts (the smallest administrative boundary), each ED is given a classification based on research carried out by the CSO. For example an ED in Dublin city Centre is 100% urban but an ED on the outskirts of a county town might be 40% rural 60% urban and an ED in the Wicklow mountains 100% rural. Findings were aggregated to county level to inform us the urban/rural make up of each county.

The Urban/Rural Split at ED level was also used to identify the Urban/Rural populations for 2002,2006 and upcoming 2011

Interactive Table Contains:

% Urban/Rural Split (Aggregated from ED level)
Urban/Rural Population Split 2002,2006 and 2011 (Derived from ED Populations)

The source population data was taken from the CSO database direct.

3.2 Distribution of Employment - Location of Work

Using Census Place of Work (POWCAR) data this indicator analysis the distribution of employment at Electoral District and County Level. The aim here is to identify where people work in relation to their homes. Work locations have been placed into four categories: Work from Home, Live/Work in the Same County, Live/Work in a different county and at a micro level, Live/Work in the same ED.

Interactive Table Contains:

The %/Number of People Living and Working in the Same ED
The %/Number of People Living and Working in the Same County
The %/Number of People Working in a Different County
The %/Number of People who Work from Home

Note:Analysis based on POWCAR data from 2006

4. Physical Infrastructure, Transport and Commuting Patterns

This broad section of the guidelines assesses the provision of infrastructure in the context of ; Transport, Water Supply, Waste Management, Energy and Communications, Investment requirements and Habitat Impacts.

Indicators have been developed to assess the progress of infrastructure provision and needs and also to summarise commuting patterns nationwide .

Indicators:

4.2 Commuting Patterns: Distance Travelled to Work

This indicator provides details of the distance people living in the region, county or settlement travel to work. The information is broken into eight ranges covering: 0-2km, 3-4km, 5-9km, 10-14km,15-25km, 25-49km, 50km+ and not stated. The data may be viewed by percentage of trips or actual number of trips.

Interactive Table Contains:

Breakdown of Number and Percentage of Trip Distances (KM) to Work at County, Regional and Settlement Level.

Note: Distance Traveled to Work data sourced from the CSO 2006 POWCAR database.

4.3 Commuting Patterns: Journey Minutes to Work

This indicator summarises the number of minutes people living within a region, county or settlement spend traveling to work. Data is grouped into ranges of: 0-15mins, 16-30mins, 31-45mins, 46-60mins, 61-90mins, 91+mins and Not Stated. Data is available to view as a percentage of trips or by number of trips.

Interactive Table Contains:

Analysis of Travel Times to Work at Region, County and Settlement Level

Note: Journey Minutes to Work data sourced from the CSO 2006 POWCAR database.

4.4 Commuting Patterns: Departure Times

This indicator summarises the time people living in regions, counties and settlements depart for work in the morning. The data is grouped into eight ranges: Before 7:00, 7:00-7:30, 7:30-8:00, 8:00-8:30, 8:30-9:00, 9:00-9:30, After 9:30 and Not Stated. Data is available to view as a percentage of trips or by number of actual trips.

Interactive Table Contains:

Departure Times to Work at Regional, County and Settlement Level.

Note: Departure Times Data Sourced form CSO 2006 POWCAR Database.

4.5 Household Waste, Landfill and Bring Sites

This indicator looks at waste generation at county and regional level both by tonnage generated and tonnage per head population (2006). Also summarised is the tonnage of waste brought to Landfill, Civic Amenity Sites and Bring Sites at a county level.

Interactive Data Contains:

Tonnage Household Waste Generation 2005-2009
Tonnage Household Waste Generation Per Head Popualtion 2005-2009
Tonnage Brought to Landfill (County) 2006-2009
Tonnage Brought to Bring Banks (County) 2006-2009
Tonnage Brought to Civic Amenity Sites (County) 2006-2009

Data is sourced from the EPA National Waste Reports whch can be found here on the EPA publication website

4.6 Local Authority Road Investment

Based on data sourced from local authority service indicator reports this indicator summarises the number of kilometers of local and regional roads, improved, maintained and constructed under road restoration programs and specific grant schemes.

Interactive Table Contains:

Km Roads Maintained/Improved under Roads Restoration Programme
KM Roads Constructed under Specific Improvement Grants Scheme

Europe 2020 Targets

Eurostat, the EU’s statistical office provides the European Union and its member states with high quality, comparable statistical data at national, regional and local level. The aim is to provide decision and policy makers at all levels with a solid base of reliable and objective statistics while also supplying the public and media information on the performance and condition of member states. The ability for direct comparison between member states allows nations to assess, compare and identify needs which may not have been accessible in the past.

The Europe 2020 Targets were developed based around the Europe 2020 strategy. This is the EUs growth strategy replacing the outgoing Lisbon strategy and running until 2020. Based around three reinforcing priorities “to become a smart, inclusive and sustainable economy”, the strategy identified five key objectives focusing on;

Employment
Education
Innovation
Social inclusion
Climate/Energy.

Targets were set for each of the five objectives. In order to measure the progress of each target eleven indicators were selected to provide a monitoring mechanism for the life of the strategy.

Explore the categories below to view the indicators for each target:

Target 1: 75% of the population aged 20-64 should be employed

This target measures the employment level within the 20-64 year age cohort in Europe. The target for 2020 is that 75% of all those aged between 20-64 will be employed.

Irish Context

The current (2010) EU27 average is 69% which means a percentage increase of 6% is required by 2010. The Republic of Ireland is currently below the EU27 average at 67% having decreased shaprply from a high of 74% in 2007.

Indicator: Employment rate by gender, age group 20-64

Description: The employment rate is calculated by dividing the number of persons aged 20 to 64 in employment by the total population of the same age group. The indicator is based on the EU Labour Force Survey. The survey covers the entire population living in private households and excludes those in collective households such as boarding houses, halls of residence and hospitals. Employed population consists of those persons who during the reference week did any work for pay or profit for at least one hour, or were not working but had jobs from which they were temporarily absent.

Data Source: Collected as part of the EU LFS (Labour Force Survey) carried out by Eurostat on a quarterly/annual basis. Data is sourced from the National Accounts and harmonised at EU level with the main tasks the correction of breaks in data, estimation of missing values and the reconciliation of LFS with other data sources.

Date: 2000 - 2009

Frequency: Annual

Download Source Data: Eurostat

Target 2: 3% of the EU's GDP should be invested in R&D

This indicator aims to assess the percentage of a countries GDP that is invested in Research and Development with an overall target of 3% for each country. R&D is important for any country as a mechanism for the development of future industries and safeguarding existing activities.

Irish Context

At present Ireland is slightly behind the EU investing 1.8% of GDP in R&D while the EU currently invests 2.0%.While the investment in EU27 average has only increased by 0.1% investment in Ireland has increased by 0.7% in the same period.

Indicator: Gross Domestic Expenditure on R&D

Description: The indicator provided is GERD (Gross domestic expenditure on R&D) as a percentage of GDP. "Research and experimental development (R&D) comprise creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society and the use of this stock of knowledge to devise new applications" (Frascati Manual, 2002 edition, § 63 ). R&D is an activity where there are significant transfers of resources between units, organisations and sectors and it is important to trace the flow of R&D funds.

Data Source: Basic completions of national R&D statistics are provided to Eurostat by Member States. The national compilations are provided in different breakdowns and in the basic units national currencies (NAC), for R&D expenditure, and number of full-time equivalents (FTE) and head count (HC), for R&D personnel.

Date: 2000 - 2009

Frequency: Annual

Download Source Data: Eurostat

Target 3: The "20/20/20" climate/energy targets should be met

The climate/energy targets are measured by three indicators that represent, from three different viewpoints how country is performing in terms of production of pollutants, development of clean energy and improvement in energy efficiency. Each indicator shares a common objective of reaching a 20% target and were named as the 20/20/20 climate/energy targets which are as follows:

Reduce Greenhouse emissions by 20% compared to 1990 levels (Note: Target aim is to reduce the EU average by 20%, each country has their own specific targets that will reduce the total emissions by 20%)
Increase the share of renewable energy sources in final energy consumption to 20% (Note: Each country has individual targets that aim to collectively increase the EU27 average share of renewables by 20%)
20% Increase in energy efficiency

Irish Context

Reduce Greenhouse Emissions by 20%

With regard to reducing greenhouse emissions by 20% Ireland is currently struggling to achieve its individual target of 20% and is one of the worst performers in the EU with an increase of 23% while the EU27 on average has reduced its overall output by 11.3%

Increase share in renewables by 20%

In increasing its share in renewables by 20% Ireland has a low target compared to some and must increase the share of renewables to 16%. In terms of progress Ireland has slowly increased its share of renewable energy generation to 3.8% with an increase of 0.8% over the last two years. The EU27 currently stands at 10.3% with the best performing country being Sweden with 44.4% of its 49% target already achieved.

Increase energy efficiency by 20%

Ireland is performing well in achieving this target. Progress since the target year reports a drop of 30 KGOE(Kilogram of Oil Equivalent per 1000 Euro) which represents a 22% drop while the EU27 average reports a 20 KGOE which represents an 11% drop. See indicator text for details on KGOC.

Indicator 1: Greenhouse gas emissions, base year 1990

Description: This indicator shows trends in total man-made emissions of the ‘Kyoto basket’ of greenhouse gases. It presents annual total emissions in relation to 1990 emissions The ‘Kyoto basket’ of greenhouse gases includes: carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), and the so-called F-gases (hydrofluorocarbons, perfluorocarbons and sulphur hexafluoride (SF6)). These gases are aggregated into a single unit using gas-specific global warming potential (GWP) factors. The aggregated greenhouse gas emissions are expressed in units of CO2 equivalents. The EU as a whole is committed to achieving at least a 20% reduction of its greenhouse gas emissions by 2020 compared to 1990. This objective implies: - a 21 % reduction in emissions from sectors covered by the EU ETS (emission trading scheme) compared to 2005 by 2020; - a reduction of 10 % in emissions for sectors outside the EU ETS. To achieve this 10% overall target each Member State has agreed country-specific greenhouse gas emission limits for 2020 compared to 2005 (Council Decision 2009/406/EC). Data Source: European Environment Agency

Data Source: The European Union (EU) as a party to the United Nations Framework Convention on Climate Change (UNFCCC) reports annually its greenhouse gas inventory for the year t-2 and within the area covered by its Member States. The inventory also constitutes the EU-15 submission under the Kyoto Protocol. The EU greenhouse gas inventory is the most relevant and accurate source of information on greenhouse gas emissions in the EU, and serves to monitor all anthropogenic emissions by sources and removals by sinks of greenhouse gases not controlled by the Montreal Protocol. The inventory contains data on carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), perfluorocarbons (PFCs), hydrofluorocarbons (HFCs) and sulphur hexafluoride (SF6). The EU inventory is fully consistent with national greenhouse gas inventories compiled by the EU Member States.

Date: 1990 - 2008

Frequency: Annual

Download Source Data: Eurostat

Indicator 3: Energy Intensity of the Economy

Description: This indicator is the ratio between the gross inland consumption of energy and the gross domestic product (GDP) for a given calendar year. It measures the energy consumption of an economy and its overall energy efficiency. The gross inland consumption of energy is calculated as the sum of the gross inland consumption of five energy types: coal, electricity, oil, natural gas and renewable energy sources. The GDP figures are taken at chain linked volumes with reference year 2000. The energy intensity ratio is determined by dividing the gross inland consumption by the GDP. Since gross inland consumption is measured in kgoe (kilogram of oil equivalent) and GDP in 1 000 EUR, this ratio is measured in kgoe per 1 000 EUR.

Data Source: All necessary data related to energy data is compiled through five annual Joint Questionnaires (one for each type of energy above-mentioned). These questionnaires are called « joint » because they are shared by Eurostat and the International Energy Agency (organisation that belongs to the OECD).

Date: 2000 - 2008

Frequency: Annual

Download Source Data: Eurostat

Target 4: The share of early school leavers should be under 10% and at least 40% of 30-34 years old should have completed a tertiary or equivalent education

Indicator 1: Early leavers from education and training by gender

Description: Early leavers from education and training by gender - Percentage of the population aged 18-24 with at most lower secondary education and not in further education or training.

Data Source: The Labour Force Survey (LFS) education-related indicators on early leavers from education and training, education attainment level and young people neither in employment nor in education and training (NEET) are a collection of annual series based on the quarterly results of the EU Labour Force Survey (EU-LFS). They are published in the section 'main indicators'. The data source, EU-LFS is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator.

Date: 2000 - 2009

Frequency: Annual

Download Source Data: Eurostat

Indicator 2: Tertiary educational attainment by gender, age group 30-34

Description: The share of the population aged 30-34 years who have successfully completed university or university-like (tertiary-level) education with an education level ISCED 1997 (International Standard Classification of Education) of 5-6. This indicator measures the Europe 2020 strategy's headline target to increase the share of the 30-34 years old having completed tertiary or equivalent education to at least 40% in 2020.

Date: 2000 - 2009

Frequency: Annual

Download Source Data: Eurostat

Target 5: Reduction of poverty by aiming to lift at least 20 million people out of the risk of poverty or exclusion

Overview: This target is focused at quantifying and reducing the levels of the population who are at risk of social exclusion or poverty across the EU27 by 20 million.

The progress of this target is measured by assessing the financial conditions, the supply of material goods and the level of work intensity across the households of the EU27. Three indicators focus on these individual elements of poverty and one overview indicator summarises number of people who are either at risk-of-poverty and/or materially deprived and/or living in households with very low work intensity.

Irish Context:

Population at risk of poverty or exclusion (union of the three sub-indicators below)

Overall Ireland sits in the upper middle of the range in comparison to other EU coutires. Currently 25% of Irelands population is at risk of poverty or exclusion; this figure is relatively constant to that of 2005 with a slight dip down to 22% in 2006. To put this figure in perspective the UK currently has a rate of 22% and Germany 20%. In population terms this amounts to 1.1 million people in Ireland which is a fraction of the 113.7 million EU27 Population at risk.

Persons living in households with very low work intensity

In terms of low work intensity Ireland fares worse than any other country in the EU 27 by some distance. This indicator shows that Ireland has a household low work intensity rate of 19.8%. The closest country with a figure of 12.6% is the UK while Germany has a figure of 12.8%. The number of households in Ireland with low work intensity is 739,000. The figure has increased sharply in the last number of years risinig from 429,000 in 2006.

Persons at risk of poverty after social transfers (e.g Social welfare payments)

In assessing persons at risk of poverty after social transfers, Ireland has a rate of 15%. This figure is in the middle of the range across the EU with the Czech Republic having the lowest rate at 8.6% and Latvia the highest at 25.7%. Ireland’s rate has decreased considerably over the last five years dropping from 19.7%. This is in line with the increase in wages and social welfare improvements over that five year period.

Severely Materially Deprived Persons

The percentage of population who are classified as materially (see indicator text below for definition) deprived in Ireland currently stands at 6.1% of the population. While this figure has increased by 1% over the last five years the EU27 average is at 8.1% leaving Ireland 2% below the average. Comparison states such as the UK and Germany have rates of 5.4% and 3.3% respectively.

For details descriptions and to view the indicators follow the links below.

Indicator 1: Population at risk of poverty or exclusion

Description: This indicator summarizes number of people who are either at risk-of-poverty and/or materially deprived and/or living in households with very low work intensity. Interactions between the indicators are excluded. At risk-of-poverty are persons with an equivalised disposable income below the risk-of-poverty threshold, which is set at 60 % of the national median equivalised disposable income (after social transfers). The collection "material deprivation" covers indicators relating to economic strain, durables, housing and environment of the dwelling. Severely materially deprived persons have living conditions severely constrained by a lack of resources, they experience at least 4 out of 9 following deprivations items: cannot afford i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, vi) a car, vii) a washing machine, viii) a colour TV, or ix) a telephone. People living in households with very low work intensity are people aged 0-59 living in households where the adults work less than 20% of their total work potential during the past year.`

Data Source: The domain "income and living conditions" covers four topics: main indicators, income distribution and monetary poverty, living conditions, material deprivation and childcare arrangements indicators, which are again structured into collections of indicators on specific topics.

The collection "main indicators" houses those indicators provided under the Open Method of Coordination in the area of combating poverty and social exclusion. This group of indicators houses the following three collections: the overarching portfolio of indicators, the social inclusion portfolio and the pensions portfolio. For more details on this as well as definitions of the indicators please see http://ec.europa.eu/social/main.jsp?catId=756&langId=en

Date: 2005 - 2009

Frequency: Annual

Download Source Data: Eurostat

Indicator 2: Persons living in households with very low work intensity

Description: People living in households with very low work intensity are people aged 0-59 living in households where the adults work less than 20% of their total work potential during the past year.

Date: 2005 - 2009

Frequency: Annual

Download Source Data: Eurostat

Indicator 4: Severely materially deprived persons

Description: The collection "material deprivation" covers indicators relating to economic strain, durables, housing and environment of the dwelling. Severely materially deprived persons have living conditions severely constrained by a lack of resources, they experience at least 4 out of 9 following deprivations items: cannot afford i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, vi) a car, vii) a washing machine, viii) a colour TV, or ix) a telephone.

Date: 2005 - 2009

Frequency: Annual

Download Source Data: Eurostat