Current Account Balance (% GDP, 3 yr avg) | Upper MIP Threshold | Lower MIP Threshold | |
2007 | -5.13318694521421 | 6 | -4 |
2008 | -6.2559163151325 | 6 | -4 |
2009 | -6.33332341157857 | 6 | -4 |
2010 | -4.82697488948959 | 6 | -4 |
2011 | -3.31191121972886 | 6 | -4 |
2012 | -2.32515624886433 | 6 | -4 |
2013 | -1.14818461276775 | 6 | -4 |
2014 | -0.00248569040042305 | 6 | -4 |
2015 | 2.341194519479 | 6 | -4 |
2016 | 0.437424533449962 | 6 | -4 |
2017 | 2.90497697780472 | 6 | -4 |
Source publication: Balance of International Payments, Q2 2018
Get the data: StatBank BPA15 (Current Account), StatBank N1705 (Gross Domestic Product)
The current account balance is mainly driven by exports less imports, although it also includes net income and current transfers in and out of Ireland, as shown in the CSO note on Trends in Net Factor Income. As part of the Macroeconomic Imbalance Procedure (MIP), the current account balance is expressed as a three year average in terms of a percentage of GDP. A positive current account balance usually indicates that exports are greater than imports and vice versa. From 2007 to 2013, Ireland ran a current account deficit (measured as a three year average) and breached the lower MIP threshold from 2007 to 2010. The current account became less negative from 2010-2013. It became positive from 2015 as a result of the relocation of companies to Ireland and their associated contract manufacturing exports. The modest surplus in 2016 was mainly due to increased R&D related IP imports in that year. While the strong surplus resumed in 2017 due to lower R&D related IP imports combined with increased computer service exports.
Supplementary analysis:
Current Account Balance (% GDP, 3 yr avg) | Modified Current Account Balance (CA*) (% GDP, 3 yr avg) | Upper MIP Threshold | Lower MIP Threshold | |
2007 | -5.13318694521421 | -4.22516266239114 | 6 | -4 |
2008 | -6.2559163151325 | -5.30755012945755 | 6 | -4 |
2009 | -6.33332341157857 | -4.98223106655137 | 6 | -4 |
2010 | -4.82697488948959 | -4.0951118586722 | 6 | -4 |
2011 | -3.31191121972886 | -2.57125909967278 | 6 | -4 |
2012 | -2.32687782275419 | -2.48602833390436 | 6 | -4 |
2013 | -1.14818461276775 | -1.84766491760721 | 6 | -4 |
2014 | -0.00248569040042305 | -1.27616590952457 | 6 | -4 |
2015 | 2.341194519479 | 0.329478956831276 | 6 | -4 |
2016 | 0.437424533449962 | 1.1364260419948 | 6 | -4 |
2017 | 2.90497697780472 | 1.37004529557443 | 6 | -4 |
A new measure of Irish domestic economic activity was requested by the CSO’s Economic Statistics Review Group (ESRG) due to the recent difficulty of interpreting gross domestic product (GDP). This was mainly due to the impact on GDP of mobile international assets and global firms redomiciling their headquarters to Ireland. The development of a modified current balance, CA*, has been the CSO’s response concerning the balance of payments (BOP) data. CA* is the current account balance (CA) where the following items have been removed:
1a. The depreciation of capital assets held outside Ireland owned by Irish resident foreign-owned firms, e.g. intellectual property (IP) and leased aircraft.
1b. The repatriated global income of companies that moved their headquarters to Ireland, e.g. redomiciled firms or corporate inversions.
2a. The net cost of investment in aircraft related to leasing.
2b. The cost of R&D related IP imports.
3a. Revenues from R&D related IP exports.
3b. The cost of R&D services imports.
3c. The depreciation on R&D service imports.
CA* excludes the depreciation of foreign-owned domestic capital (such as trade in IP and aircraft leasing) because it is borne by foreign investors and consequently does not affect CA*. The retained earnings of redomiciled firms are predominantly owned by foreign investors and are not taken into account by CA* either. Finally, some firms borrow money abroad to finance their investment by purchasing IP from their parent company. In the long-term, this debt is repaid from the profit on the IP or the aircraft being leased. This borrowing is not a liability of residents of Ireland and the purchase of this IP is excluded when deriving CA*.
As part of the Macroeconomic Imbalance Procedure (MIP), both CA and CA* are expressed as a three-year average in terms of a percentage of GDP. From the above figure we can observe that from 2012 to 2014, CA* was lower than CA. This difference is mainly due to the increase of redomiciled incomes. Notably, in 2014, CA* was negative (-1.3%) while CA has a value of zero. The decrease in the current account from 2015 (2.3%) to 2016 (0.4%) changed to an increase for CA* between 2015 (0.3%) and 2016 (1.1%). In 2017, a value of 1.4% for CA* was observed, compared to 2.9% for CA. This difference is mainly due to the depreciation on R&D service imports and trade in IP being greater than the up-front investment in IP. Note that CA* as a percentage of GNI* would show a similar trend to that of CA* as a percentage of GDP, but with movements of slightly greater magnitude since GNI* is a smaller aggregate. More information on the modified current account balance can be found here.
Net IIP (% of GDP) | MIP Threshold | |
2007 | -31.4 | -35 |
2008 | -95.3 | -35 |
2009 | -115.7 | -35 |
2010 | -113.5 | -35 |
2011 | -139.1 | -35 |
2012 | -137.7 | -35 |
2013 | -133.3 | -35 |
2014 | -164.3 | -35 |
2015 | -198.7 | -35 |
2016 | -170.7 | -35 |
2017 | -149.3 | -35 |
Source publication: International Investment Position and External Debt, Q2 2018
Get the data: StatBank BPQ26
The IIP is a statistical statement that shows, at a point in time, the value of:
- financial assets of residents of an economy that are claims on non-residents, and gold bullion held as reserve assets and
- the liabilities of residents of an economy to non-residents
Ireland's Net IIP as a percentage of GDP has breached the MIP threshold since 2008.
Supplementary analysis:
General Government | Central Bank | Monetary Financial Institutions | Non-Financial Corporations | Other Sectors | MIP Threshold | |
2012 | -61.3733905579399 | -44.2465299972605 | -0.552460962469181 | -66.4825130125103 | 35.3991644598667 | -35 |
2013 | -60.0726981692067 | -28.4528851391158 | -6.6489923411256 | -65.7618301263881 | 28.0838363290759 | -35 |
2014 | -67.4149478729287 | -8.75867931098048 | -1.29908035147369 | -97.7638612948815 | 11.3327734879053 | -35 |
2015 | -50.3537587582439 | 0.963930703669414 | 4.60248335981285 | -165.173526576674 | 11.5850754571051 | -35 |
2016 | -45.558983592998 | 2.15893162346242 | 8.7392995824138 | -157.648122326039 | 21.9179686499266 | -35 |
2017 | -41.729284961409 | 4.73734317092244 | 13.5945734589099 | -151.200911223692 | 25.5214035564925 | -35 |
Get the data: StatBank BPQ22
The table above shows the contribution of various sectors to the Net IIP as a percentage of GDP. Non-financial corporations contribute the most in every year and this has more than doubled between 2012 and 2015, mainly due to the non-resident financing of domestic intellectual property. Further information on this is contained in the CSO's National Balance Sheet publication. In 2017, the general government contribution fell for the second year in a row.
Real Effective Exchange Rate (3 yr % change) | Upper MIP Threshold | Lower MIP Threshold | |
2007 | 3 | 5 | -5 |
2008 | 7.3 | 5 | -5 |
2009 | 5.2 | 5 | -5 |
2010 | -5.4 | 5 | -5 |
2011 | -9.6 | 5 | -5 |
2012 | -12.2 | 5 | -5 |
2013 | -3.8 | 5 | -5 |
2014 | -3.6 | 5 | -5 |
2015 | -6.4 | 5 | -5 |
2016 | -6.7 | 5 | -5 |
2017 | -6.1 | 5 | -5 |
Get the data: Eurostat database
The real effective exchange rate (REER) is a country’s exchange rate relative to a basket of exchange rates of other countries weighted according to their respective trade shares. A change in it, therefore, aims to assess a country's price or cost competitiveness relative to its principal competitors in international markets. A positive value indicates real appreciation and a loss of country competitiveness relative to principal trading partners. A negative value indicates improving country competitiveness relative to its principal trading partners. Changes in cost and price competitiveness depend on cost and price trends as well as exchange rate movements. This specific REER for the Macroeconomic Imbalance Procedure is deflated by the consumer price indices relative to a panel of 42 countries. The REER estimates from 2007 to 2009 follow a positive trend which changed from 2010 onwards following the financial crisis (Figure 3.5). From 2010 to 2012 the lower MIP threshold of -5% was breached followed by a recovery period during 2013 and 2014. Since then the indicator has breached its threshold each year.
Supplementary analysis:
Ireland | EU-27 | Germany | Netherlands | United Kingdom | USA | |
2007 | 3 | 3.86 | -1.5 | -2.1 | -0.4 | -6.5 |
2008 | 7.3 | 6.7962962962963 | 0.9 | -0.1 | -11.5 | -8.86519084541729 |
2009 | 5.2 | 6.34814814814815 | 2.9 | 2.7 | -19.9 | -4.35919792904678 |
2010 | -5.4 | 0.744444444444444 | -3.7 | -1.5 | -20.4 | -3.51958756205836 |
2011 | -9.6 | -2.32222222222222 | -4.8 | -2.4 | -7.8 | -4.53172495046357 |
2012 | -12.2 | -4.67037037037037 | -9 | -6 | 6 | -5.68845276571622 |
2013 | -3.8 | -0.866666666666667 | -1.8 | 0.5 | 3.4 | -0.825375447772302 |
2014 | -3.6 | -1.03333333333333 | -0.4 | 0.7 | 10.1 | 6.51938036136754 |
2015 | -6.4 | -1.81111111111111 | -2.1 | -0.8 | 10.8 | 16.3726046013911 |
2016 | -6.7 | -2.0962962962963 | -2.7 | -2.2 | 0.2 | 18.7519078272342 |
2017 | -6.1 | -1.87407407407407 | -2.8 | -1.8 | -10.9 | 15.9418606103526 |
Get the data: Eurostat database, World Bank database
The pattern of Ireland’s REER has been similar to other Euro area countries and to the EU-27 average. However, it has been different to those of the United Kingdom and the USA which have other currencies in circulation. It is important to note that data on the USA is calculated in a different way to Eurostat and therefore is not fully comparable. The indicator for the USA is computed using data from the World Bank’s World Development Indicators as a three year percentage change.
REER (3 yr % change) | Upper MIP Threshold | Lower MIP Threshold | |
United Kingdom | -10.9 | 5 | -5 |
Ireland | -6.1 | 5 | -5 |
Cyprus | -5.9 | 5 | -5 |
Romania | -5.6 | 5 | -5 |
Sweden | -5.6 | 5 | -5 |
Poland | -3.7 | 5 | -5 |
Bulgaria | -3.4 | 5 | -5 |
Italy | -3.3 | 5 | -5 |
France | -3.2 | 5 | -5 |
Finland | -3 | 5 | -5 |
Germany | -2.8 | 5 | -5 |
Spain | -2.8 | 5 | -5 |
Malta | -2.6 | 5 | -5 |
Greece | -2.4 | 5 | -5 |
Slovenia | -2.3 | 5 | -5 |
Slovakia | -2.2 | 5 | -5 |
Denmark | -2.1 | 5 | -5 |
Netherlands | -1.8 | 5 | -5 |
Luxembourg | -1.1 | 5 | -5 |
Portugal | -0.8 | 5 | -5 |
Croatia | -0.4 | 5 | -5 |
Hungary | -0.1 | 5 | -5 |
Austria | 0 | 5 | -5 |
Belgium | 0.7 | 5 | -5 |
Latvia | 1.1 | 5 | -5 |
Lithuania | 1.3 | 5 | -5 |
Estonia | 2.4 | 5 | -5 |
Czech Republic | 5.1 | 5 | -5 |
Get the data: Eurostat database
Figure 3.7 shows the EU-28 REER values for 2017. Ireland has the second lowest percentage change in REER value with the United Kingdom and Czech Republic experiencing the lowest and highest changes, respectively.
Export Market Share (5 yr % change) | MIP Threshold | |
2007 | -11.97 | -6 |
2008 | -16.72 | -6 |
2009 | 1.85 | -6 |
2010 | -6.27 | -6 |
2011 | -10.26 | -6 |
2012 | -16.27 | -6 |
2013 | -10.59 | -6 |
2014 | -14.63 | -6 |
2015 | 37.83 | -6 |
2016 | 58.7 | -6 |
2017 | 64.43 | -6 |
Source publication: Balance of International Payments
Get the data: Eurostat database
The export market share is calculated by dividing the exports of the country by the total exports of the world. For a country to increase its export market share its exports must increase at a faster rate than world exports. As a result a country’s exports may increase but its export market share may still fall. To capture the structural losses in competitiveness that can accumulate over longer time periods, this indicator is calculated as the percentage change in values compared to five years previously.
Ireland experienced negative values for this indicator each year from 2007 to 2014, with the exception of 2009, suggesting a decrease in export market shares. In most cases the MIP threshold of -6% was breached. This trend changed in 2015, when the indicator value rose to 40%, and 60% in 2016. The change largely relates to the amount of contract manufacturing carried out on behalf of Irish companies. The rise in contract manufacturing has led to the increase in goods exports from Irish companies and is explained in the Contract Manufacturing Information Notice (PDF 516KB) published by the CSO.
Supplementary analysis:
Export Market Share (5 yr % change) | MIP Threshold | |
Greece | -10.03 | -6 |
Finland | -4.3 | -6 |
Sweden | -4.29 | -6 |
United Kingdom | -0.96 | -6 |
Denmark | 0.5 | -6 |
Netherlands | 1.23 | -6 |
Italy | 1.98 | -6 |
Austria | 2.34 | -6 |
Estonia | 2.58 | -6 |
France | 2.69 | -6 |
Belgium | 3.87 | -6 |
Germany | 6.5 | -6 |
Slovakia | 6.67 | -6 |
Cyprus | 6.94 | -6 |
Latvia | 7.77 | -6 |
Czechia | 8.17 | -6 |
Lithuania | 9.73 | -6 |
Spain | 9.79 | -6 |
Malta | 11.2 | -6 |
Hungary | 11.27 | -6 |
Portugal | 14.62 | -6 |
Slovenia | 18.64 | -6 |
Bulgaria | 19.35 | -6 |
Croatia | 19.95 | -6 |
Luxembourg | 25.16 | -6 |
Poland | 28.44 | -6 |
Romania | 37.02 | -6 |
Ireland | 64.43 | -6 |
Get the data: Eurostat database
Ireland’s increase in share of exports was the highest in the EU in 2017, having surpassed Luxembourg by over 30% in 2016.
Ireland | China | Germany | Netherlands | United Kingdom | MIP Threshold | |
2007 | -11.97 | 51.6697633808099 | 2.1 | -2.48 | -14.71 | -6 |
2008 | -16.72 | 41.8204280684153 | -4.52 | -6.08 | -22.48 | -6 |
2009 | 1.85 | 31.5965336400672 | -6.69 | -5.39 | -19.55 | -6 |
2010 | -6.27 | 26.8012599943709 | -7.77 | -8.15 | -23.64 | -6 |
2011 | -10.26 | 22.799744414565 | -9.09 | -8.32 | -25.7 | -6 |
2012 | -16.27 | 25.7680445370554 | -16.63 | -12.82 | -20.97 | -6 |
2013 | -10.59 | 27.5773767534343 | -12.42 | -11.36 | -11.95 | -6 |
2014 | -14.63 | 21.9537508730607 | -8.9 | -11.34 | -9.62 | -6 |
2015 | 37.83 | 24.3754151397597 | -2.63 | -6.75 | 2 | -6 |
2016 | 58.7 | 10.5059553509314 | 2.63 | -2.89 | 1.03 | -6 |
2017 | 64.43 | 4.81908492067359 | 6.5 | 1.23 | -0.96 | -6 |
Get the data: Eurostat database, World Bank database
Ireland and three of its largest EU trading partners have mainly experienced declining export market shares from 2007 to 2014. On the other hand, China has seen substantial increases each year, however these increases are at a declining rate. Ireland, in contrast, has reversed its trend of a decreasing market share seen up to 2014, and exhibited very large increases in its share from 2015 onwards. Note that the country comparison data is sourced from Eurostat, with the exception of the data for China which is from the World Development Indicators compiled by the World Bank.
Nominal Unit Labour Cost (3 yr % change) | MIP Threshold | |
2007 | 13.9 | 9 |
2008 | 17.8 | 9 |
2009 | 8.6 | 9 |
2010 | -4.8 | 9 |
2011 | -16.5 | 9 |
2012 | -12.7 | 9 |
2013 | -3.8 | 9 |
2014 | -3.7 | 9 |
2015 | -18.6 | 9 |
2016 | -18.8 | 9 |
2017 | -17.2 | 9 |
Source publication: National Income & Expenditure Annual, 2017
Get the data: StatBank N1702 (Employee Compensation/Total Labour Costs), StatBank ESQ05 (Number of Employees), StatBank N1704 (Gross Domestic Product)
The nominal unit labour cost is an index computed using the ratio of labour costs (compensation per employee) to labour productivity (GDP per person employed, including self-employed).
A rise in an economy’s nominal unit labour costs corresponds to an increase in labour costs relative to labour productivity, resulting in lower competitiveness.
During the period 2007-2009, Ireland experienced positive indicator values, which breached the MIP threshold of 9% in 2007 and 2008 (Figure 3.11). This trend was reversed after the financial crisis, leading to increased competitiveness in the Irish economy. The three year change in Ireland’s nominal unit labour cost indicator was -17.2% in 2017. Note that this estimate was substantially affected by the level-shift in GDP in 2015.
Supplementary analysis:
Nominal Unit Labour Cost (3 yr % change) | Labour Productivity (3 yr % change) | Labour Costs (3 yr % change) | MIP Threshold | |
2007 | 13.9 | -1.53958329035559 | 11.2576900080098 | 9 |
2008 | 17.8 | -2.00141217671015 | 15.1732326852427 | 9 |
2009 | 8.6 | 1.0727911784502 | 10.4929782602281 | 9 |
2010 | -4.8 | 6.75301687310964 | 1.94647430443012 | 9 |
2011 | -16.5 | 16.9151583875004 | -1.93456054981291 | 9 |
2012 | -12.7 | 13.4939860709987 | -1.12083005734992 | 9 |
2013 | -3.8 | 4.63667430778804 | 0.688075578403173 | 9 |
2014 | -3.7 | 4.88581555505787 | 1.09593151647486 | 9 |
2015 | -18.6 | 26.0867824673293 | 2.6544443732265 | 9 |
2016 | -18.8 | 29.8827507046365 | 5.52485683556199 | 9 |
2017 | -17.2 | 27.6607777158324 | 5.63070529827154 | 9 |
Get the data: Eurostat database (Compensation of Employees), StatBank N1702 (Employee Compensation/Total Labour Costs), StatBank ESQ05 (Number of Employees), StatBank N1704 (Gross Domestic Product)
Breaking nominal unit labour costs into its two components shows the interrelationship between labour costs and productivity. Until 2009, labour costs rose at a faster rate than labour productivity compared to their respective levels three years previously (Figure 3.12). This caused overall increases in nominal unit labour costs. Since 2010 the three year changes in labour costs were continually lower than those in labour productivity. From 2015 onwards, labour productivity increased at a significantly faster rate than labour costs thereby increasing overall economic competitiveness. Labour productivity increases since 2015 were mainly due to the large increase in GDP.
House Price Index (annual % change) | MIP Threshold | |
2007 | 4.3 | 6 |
2008 | -8.46660889216815 | 6 |
2009 | -13.6295030629603 | 6 |
2010 | -11.5390817838875 | 6 |
2011 | -17.842346806229 | 6 |
2012 | -14.8108042367197 | 6 |
2013 | -0.509530709231436 | 6 |
2014 | 15.1568590786917 | 6 |
2015 | 11.0563482686037 | 6 |
2016 | 6.58785759901568 | 6 |
2017 | 9.46910258627014 | 6 |
Source publication: Residential Property Price Index, September 2018
Get the data: StatBank HPA06 (Residential Property Price Index), StatBank N1705 (Consumption at Current Market Prices by Item and Year), StatBank N1706 (Consumption at Constant Market Prices by Item and Year)
The deflated house price index is the ratio between the residential property price index and the national accounts deflator for private final consumption expenditure for households. This year-on-year indicator measures inflation in the housing market relative to inflation in the final consumption expenditure of households. The national accounts deflator for private final consumption expenditure is obtained by dividing final consumption expenditure of households at current market prices (79a) by final consumption expenditure of households at constant market prices (92a). The deflated house price index is then calculated by dividing the house price index by this deflator.
From 2008 to 2013 Ireland experienced a decline in house price index (Figure 3.13) following the financial crisis. Since 2014 Ireland has seen increases in the deflated house price index with this indicator has breached the MIP threshold of 6%. These increases suggest inflation of the Irish housing market relative to the final consumption of households. A decrease in the rate of change in 2015 and 2016 follows the introduction of new lending regulations by the Central Bank. Compared to 2016, the overall increase in the deflated price index increased in 2017 at 9.5%.
Change in Deflated Price Index (2015=100) | Excluding Dublin | Dublin | MIP Threshold | |
2007 | 4.3 | 5.91208239947429 | 3.02293052493328 | 6 |
2008 | -8.46660889216815 | -7.23466867866117 | -10.6112671743453 | 6 |
2009 | -13.6295030629603 | -10.8676766178037 | -19.2896179158175 | 6 |
2010 | -11.5390817838875 | -9.96234505888451 | -15.1921207435628 | 6 |
2011 | -17.842346806229 | -18.6661070688995 | -16.7991761557329 | 6 |
2012 | -14.8108042367197 | -16.4690472790088 | -12.9725497391221 | 6 |
2013 | -0.509530709231436 | -8.56134689245311 | 7.84993006389225 | 6 |
2014 | 15.1568590786917 | 6.48222217511577 | 22.6770927241359 | 6 |
2015 | 11.0563482686037 | 12.7467086715564 | 9.55775150968612 | 6 |
2016 | 6.58785759901568 | 9.06238375174048 | 4.21129541470869 | 6 |
2017 | 9.46910258627014 | 10.7984491881392 | 8.10337349547872 | 6 |
Get the data: StatBank HPA06 (Residential Property Price Index), StatBank N1705 (Consumption at Current Market Prices by Item and Year), StatBank N1706 (Consumption at Constant Market Prices by Item and Year)
Figure 3.14 shows a comparison of the year-on-year deflated house price index between Dublin and the rest of the country. From 2007 to 2010, Dublin experienced an increased rate of deflation compared to the average of the remaining counties. Similarly, from 2011 to 2014 the rate of inflation was faster for Dublin than the rest of the country. From 2015 onwards both prices of property within and outside Dublin increased, however, the prices outside Dublin increased at a faster rate than prices in Dublin.
Private Sector Credit Flow (% of GDP) | MIP Threshold | |
2007 | 24.8566047803732 | 14 |
2008 | 21.9761839026564 | 14 |
2009 | -4.54612339360536 | 14 |
2010 | 2.22342579328954 | 14 |
2011 | 16.4236877290292 | 14 |
2012 | -0.585637188198742 | 14 |
2013 | -1.41262956174641 | 14 |
2014 | 2.53853330872335 | 14 |
2015 | -2.33901921376465 | 14 |
2016 | -15.6263464825064 | 14 |
2017 | -7.516367990125 | 14 |
Source publication: Institutional Sector Accounts Non-Financial and Financial 2017
Get the data: StatBank IFI04
Private sector credit flow represents the net amount of liabilities (loans and debt securities) which non-financial corporations (NFCs, S.11), households (S.14) and non-profit institutions serving households (NPISH, S.15) have incurred during the year. Transactions between units within each sector are eliminated to produce a consolidated presentation. The indicator is expressed as a percentage of GDP.
Figure 3.15 shows the relatively large positive flows of credit in the period 2007-2008, predominantly related to investment in residential and commercial property. Aside from 2011, the indicator has been below the MIP threshold since 2009. The threshold breach in 2011 was caused principally by refinancing operations of large multinational groups during this period. In 2017, private sector credit flows increased by €20.6bn over the 2016 level, standing at -7.5% of GDP – well below the MIP threshold of 14%.
Supplementary analysis:
Non-Financial Corporations | Households | Total | |
2007 | 24.1200585864607 | 24.8976754679995 | 49.0177340544602 |
2008 | 33.7214272866439 | 7.54304539460321 | 41.2644726812471 |
2009 | -5.71931608503375 | -2.01366476523815 | -7.7329808502719 |
2010 | 13.5475085213224 | -9.8183523861205 | 3.72915613520191 |
2011 | 36.9587721037702 | -8.85124592294578 | 28.1075261808244 |
2012 | 6.44057482644405 | -7.46670598790209 | -1.02613116145805 |
2013 | 2.100474776747 | -4.64211187712746 | -2.54163710038047 |
2014 | 10.5530736457343 | -5.595499632415 | 4.95757401331934 |
2015 | -1.61993020239336 | -4.51920352433747 | -6.13913372673082 |
2016 | -39.9761057444093 | -2.72104202760058 | -42.6971477720098 |
2017 | -19.9054348367907 | -2.20096556121113 | -22.1064003980018 |
A breakdown of private sector credit flow generally shows flows in non-financial corporation liabilities to be much greater than flows in household liabilities from 2008 onwards (Figure 3.16, Table 3.4). The scale of credit flow in both sectors has mainly declined since 2008. However, there was a sharp increase in flows of corporate liabilities in 2011, reflecting broad activity in the multinational sector. In 2016 and 2017 the large negative credit flow values of -€42.7bn and -€22.1bn, respectively, were mainly related to net repayment of non-financial corporate debt related to the funding of intellectual property.
A positive credit flow equates to a net incurrence of debt during the year whereas a negative sign indicates a net running-down of debt during the same accounting period. The negative credit flows occurring in the household sector since 2009, cumulatively amounting to €47.8bn, correspond to a net repayment, primarily of mortgage related debt.
Private Sector Debt (% of GDP) | MIP Threshold | |
2007 | 198.054321602706 | 133 |
2008 | 236.412530754006 | 133 |
2009 | 256.088214876223 | 133 |
2010 | 257.029202656829 | 133 |
2011 | 273.954497988546 | 133 |
2012 | 279.621028746396 | 133 |
2013 | 267.707216721378 | 133 |
2014 | 278.319819750563 | 133 |
2015 | 305.988572908229 | 133 |
2016 | 283.285036683289 | 133 |
2017 | 243.648899438432 | 133 |
Source publication: Institutional Sector Accounts Non-Financial and Financial 2017
Get the data: StatBank IFI05
Private sector debt is the stock of liabilities in the form of loans and debt securities held by non-financial corporations (NFCs, S.11), households (S.14) and non-profit institutions serving households (NPISH, S.15). Positions between units within each sector are eliminated to produce a consolidated presentation. This reflects the amount of funds that the sector receives from other sectors. The indicator is expressed as a percentage of GDP (Figure 3.17). For Ireland, this indicator has exceeded the threshold of 133% every year since 2001 (the first year of availability for this time series) and stood at 244% of GDP at the end of 2017.
Supplementary analysis:
NFCs (Foreign Parent) | NFCs (Irish Parent) | Households | Total Private Sector Debt | MIP Threshold | |
2007 | 35.9146470292412 | 63.604308545424 | 98.5353631780048 | 198.05431875267 | 133 |
2008 | 52.6201148415631 | 75.8303867187348 | 107.962029291715 | 236.412530852013 | 133 |
2009 | 68.3382038978832 | 71.5200513593677 | 116.229959851811 | 256.088215109062 | 133 |
2010 | 86.7097189679058 | 60.0878170083879 | 110.231666452402 | 257.029202428696 | 133 |
2011 | 102.636036146561 | 66.8212516901491 | 104.497209951976 | 273.954497788686 | 133 |
2012 | 110.992768876584 | 69.5111846885119 | 99.1168153018829 | 279.620768866979 | 133 |
2013 | 96.1292132351251 | 77.8852700158176 | 93.6927188706696 | 267.707202121612 | 133 |
2014 | 110.622057999818 | 86.2105747051879 | 81.4869061036022 | 278.319538808608 | 133 |
2015 | 166.28607813582 | 82.6403121039045 | 57.06213959872 | 305.988529838444 | 133 |
2016 | 140.925304269494 | 90.1360465262013 | 52.2333849159555 | 283.294735711651 | 133 |
2017 | 112.360909412444 | 83.6161277717053 | 47.672139096383 | 243.649176280532 | 133 |
The analysis shown in Figure 3.18 and Table 3.5 considers the residency of an NFC’s ultimate controlling parent as the basis for distinguishing between Irish-controlled and foreign-controlled enterprises. The expansion of private sector debt from 2007 to 2009 is driven primarily by growth in property related investment by the Irish private sector. During the period following the financial crisis (circa. 2009-2012), the contribution to overall private sector debt by Irish entities (NFCs and households) has been decreasing, while the contribution from foreign-owned NFCs has been steadily increasing. From 2013 to 2017, household debt (as a percentage of GDP) has continued to fall. Total private sector debt increased in 2014 and 2015 with notable increases in foreign-parent NFC debt, with a reversal in this trend in 2016 and 2017. For the first time since the economic crisis the combined debt of Irish parent non-financial corporations and households is below the MIP threshold.
Redomiciled PLCs | Foreign Parent (ROW Debt) | Irish Parent (ROW Debt) | Foreign Parent (Irish Debt) | Irish Parent (Irish Debt) | Households | MIP Threshold | |
2012 | 8.60843168763145 | 68.9727501752434 | 11.452244793355 | 42.0200187013409 | 49.4505082075254 | 99.1168153018829 | 133 |
2013 | 12.9560675072159 | 66.4219513825643 | 14.8151452424687 | 29.7072618525607 | 50.114057266133 | 93.6927188706696 | 133 |
2014 | 25.3967482526926 | 77.4525916371031 | 17.8030077805606 | 33.1694663627147 | 43.0108186719348 | 81.4869061036022 | 133 |
2015 | 28.211339429788 | 146.848590092803 | 15.9681285201242 | 19.4374880430168 | 38.4608441539923 | 57.06213959872 | 133 |
2016 | 31.5564602678955 | 125.49866684362 | 25.992505970765 | 15.4266374258738 | 32.5870802875408 | 52.2333849159555 | 133 |
2017 | 25.0245108274123 | 98.0093522012406 | 29.7383550030038 | 14.3515572112033 | 28.8532619412892 | 47.672139096383 | 133 |
In the period since 2009 several large multinational corporations have relocated their head offices to Ireland (i.e. redomiciled PLCs/corporate inversions), becoming an Irish parent NFC in this analysis. Figure 3.19 shows a breakdown of private sector debt by location of counterparty – i.e. whether the debt is held with an entity resident in Ireland or outside of Ireland, referred to as the rest of the world (ROW). This analysis exploits newly available classifications from the BPM6 methodology.
The debt of redomiciled PLCs is shown separately from the other non-financial corporations. It is clear that, prior to 2017, entities with an Irish parent predominantly borrow from Irish counterparties, whilst entities with foreign parents are mostly indebted to non-resident counterparties. In 2015, there was a large increase in foreign parent NFC non-resident (ROW) debt. This was related to corporate restructuring, both for imports of individual assets and also reclassifications of entire balance sheets in 2015. As a percentage of GDP, 2016 and 2017 saw a reduction in private sector debt across most counterparty groups, except for Irish parent NFC non-resident (ROW) debt and redomiciled PLCs.
General Government Debt (% of GDP) | MIP Threshold | |
2007 | 23.908479630024 | 60 |
2008 | 42.4036981610383 | 60 |
2009 | 61.5428480726157 | 60 |
2010 | 85.9940019437041 | 60 |
2011 | 110.861867476919 | 60 |
2012 | 119.86462423523 | 60 |
2013 | 119.684085325863 | 60 |
2014 | 104.128156155111 | 60 |
2015 | 76.8190927586811 | 60 |
2016 | 73.4443964602288 | 60 |
2017 | 68.4403794498657 | 60 |
Source publication: Government Finance Statistics, Annual
Get the data: StatBank GFQ13 (Government Debt), StatBank N1724 (GDP)
General government gross debt (GG Debt) comprises of liabilities in the financial instruments currency and deposits (AF.2), debt securities (AF.3) and loans (AF.4). The scoreboard indicator is obtained by expressing GG Debt as a percentage of GDP.
GG Debt as a percentage of GDP grew steadily from 2007 to its peak in 2012 of 119.9% and breached the MIP threshold of 60% for the first time in 2009. GG Debt as a percentage of GDP has been decreasing since, with significant reductions seen in 2014 and 2015, due to the repayment of IMF loans in 2014 and a substantial increase in GDP in 2015. It has levelled out in 2016 and 2017, with a small decrease in debt as a percentage of GDP seen in 2017, from 73.4% to 68.4%. The level of GG Debt since 2008 has been strongly influenced by the financial crisis, the most significant factor being the state interventions in the banking sector from 2009 onwards. For more see file: 'Impact of Government support for financial Institutions, October 2018' (Source: CSO, Excel file 15.8KB).
Supplementary analysis:
General Government Debt (% of GDP) | General Government Debt (% of GNI*) | MIP Threshold | |
2007 | 23.908479630024 | 28.4778932109205 | 60 |
2008 | 42.4036981610383 | 50.7443947331523 | 60 |
2009 | 61.5428480726157 | 77.63588226133 | 60 |
2010 | 85.9940019437041 | 111.850421484463 | 60 |
2011 | 110.861867476919 | 149.840073921387 | 60 |
2012 | 119.86462423523 | 166.098826357913 | 60 |
2013 | 119.684085325863 | 157.288942778257 | 60 |
2014 | 104.128156155111 | 136.82146029012 | 60 |
2015 | 76.8190927586811 | 124.935866453508 | 60 |
2016 | 73.4443964602288 | 114.133779226171 | 60 |
2017 | 68.4403794498657 | 111.098232716274 | 60 |
Figure 3.21 shows gross general government debt both as a percentage of GDP, and as a percentage of GNI* (modified GNI excluding globalisation effects). A similar trend is seen in both series up to 2015, with movements of greater scale in the GG Debt as a percentage of GNI* series. From 2015, the level shift in GDP results in a greater difference between the two series than was previously seen.
The differential between government debt as a percentage of GDP and that as a percentage of GNI* is small before the financial crisis, with a difference between the two values of 4% in 2006 and 2007. This gap widens proportionally as government debt increases up to 2012 and reduces proportionally between 2012 and 2014 as government debt decreases. In 2015 there is a significant change in the differential, which is a result of the substantial jump in GDP of approximately 35%. The difference between government debt as a percentage of GDP and government debt as a percentage of GNI* stood at 48% in 2015. The value of government debt decreased by less than 1% in 2015, while GDP and GNI* increased by 35% and 9% respectively. Again, in 2016 and 2017, the reduction in government debt as a percentage of GDP/GNI* is a result of increases in the values of GDP and GNI*, with values of government debt changing by less than 0.5% in both years. For further information on GNI* and its calculation see the National Income and Expenditure Annual Results 2017.
Deposits | Debt Securities | Loans | MIP Threshold | |
2007 | 3.9 | 19 | 1 | 60 |
2008 | 4.7104887682365 | 36.2058467339886 | 1.48734557935816 | 60 |
2009 | 6.06010857667022 | 53.8122149979982 | 1.67081354192694 | 60 |
2010 | 8.17499758599102 | 57.4650160268268 | 20.3539231031422 | 60 |
2011 | 34.1183392946119 | 54.9436398475966 | 21.7997648707838 | 60 |
2012 | 35.4414287326157 | 49.8392540060782 | 34.5841349197004 | 60 |
2013 | 17.4275516423006 | 62.6187844052581 | 39.6376639404484 | 60 |
2014 | 10.7110180594192 | 60.9740402446939 | 32.4433190743286 | 60 |
2015 | 7.89176642103358 | 47.9171916262564 | 21.0101811745108 | 60 |
2016 | 7.80089753613069 | 45.4369920575553 | 20.2064239008411 | 60 |
2017 | 7.3431041577301 | 44.4326084611698 | 16.6646414554878 | 60 |
Source publication: Government Finance Statistics, Annual
Get the data: StatBank GFQ13 (Government Debt), StatBank N1724 (GDP)
Figure 3.22 shows a breakdown of general government debt into its constituent debt instruments. The largest amount of growth in debt securities occurred in 2009 to fund government spending. The significant increase in loan liabilities during the years 2010-2013 is predominantly a result of the EU-IMF programme of financial support. Deposits saw the largest amount of growth in 2011. This is mainly due to a combination of the reclassification of Irish Bank Resolution Corporation (IBRC) into the government sector from mid-2011 and the growing participation of the household sector in state savings schemes since 2008. The decline in the size of the currency and deposits sector once again in the period from 2013 to 2015 is related to the liquidation of IBRC. In 2016 and 2017, all debt instruments experienced a decrease as a percentage of GDP which was consistent with the reduction in general government debt.
GG Debt (% of GDP) | MIP Threshold | |
Estonia | 8.7 | 60 |
Luxembourg | 23 | 60 |
Bulgaria | 25.6 | 60 |
Czech Republic | 34.7 | 60 |
Romania | 35.1 | 60 |
Denmark | 36.1 | 60 |
Lithuania | 39.4 | 60 |
Latvia | 40 | 60 |
Sweden | 40.8 | 60 |
Poland | 50.6 | 60 |
Malta | 50.9 | 60 |
Slovakia | 50.9 | 60 |
Netherlands | 57 | 60 |
Finland | 61.3 | 60 |
Germany | 63.9 | 60 |
Ireland | 68.4 | 60 |
Hungary | 73.3 | 60 |
Slovenia | 74.1 | 60 |
Croatia | 77.5 | 60 |
Austria | 78.3 | 60 |
United Kingdom | 87.4 | 60 |
France | 98.5 | 60 |
Cyprus | 96.1 | 60 |
Spain | 98.1 | 60 |
Belgium | 103.4 | 60 |
Ireland (% GNI*) | 111.098177523154 | 60 |
Portugal | 124.8 | 60 |
Italy | 131.2 | 60 |
Greece | 176.1 | 60 |
Source Publication: National Income and Expenditure Annual Results 2017
Get the data: StatBank N1724 (GDP), StatBank GFQ13 (Government Debt), Eurostat database
Ireland’s general government gross debt as a percentage of GDP (68.4%) was the 14th highest in the EU in 2017. Ireland's GG Debt as a percentage of GNI* (modified GNI excluding globalisation effects) was 111.1%. If GNI* for Ireland is comparable to GDP for other countries which are less significantly affected by globalisation, then Ireland had the fourth highest level of government debt as a ratio of economic activity in the EU in 2017. For further information on GNI* and its calculation see the National Income and Expenditure Annual Results 2017.
Unemployment Rate (3 yr avg) | MIP Threshold | |
2007 | 4.81666666666667 | 10 |
2008 | 5.525 | 10 |
2009 | 8.15 | 10 |
2010 | 11.3333333333333 | 10 |
2011 | 14.2 | 10 |
2012 | 15.1583333333333 | 10 |
2013 | 14.9 | 10 |
2014 | 13.75 | 10 |
2015 | 11.9 | 10 |
2016 | 10.1083333333333 | 10 |
2017 | 8.38333333333333 | 10 |
Source publication: Labour Force Survey
Get the data: StatBank QLF01
Unemployment rate is the percentage of people in the labour force who are unemployed. The indicator is derived as a three-year average based on the reference year plus the previous two years.
This indicator has exceeded the indicative threshold since 2010 (Figure 3.24). The average rate of unemployment has exhibited a downward trend since 2013 and is below the threshold in 2017 for the first time since 2009.
Supplementary analysis:
Unemployed under 24 Years (% of Labour Force) | Unemployed over 24 Years (% of Labour Force) | MIP Threshold | |
2007 | 1.73886405415494 | 3.0479637492419 | 10 |
2008 | 2.00526102747451 | 3.49766149501019 | 10 |
2009 | 2.79973596645655 | 5.32145189907973 | 10 |
2010 | 3.56617959169688 | 7.73925347076134 | 10 |
2011 | 4.04867695150506 | 10.115889782569 | 10 |
2012 | 3.99739481221742 | 11.114628861101 | 10 |
2013 | 3.74696843522762 | 11.0986210609365 | 10 |
2014 | 3.37541726791522 | 10.3050513619664 | 10 |
2015 | 2.8623932053447 | 8.96988275182514 | 10 |
2016 | 2.4461767529491 | 7.59960725397191 | 10 |
2017 | 2.06304901670361 | 6.26761497002373 | 10 |
Get the data: StatBank QLF04
From 2007 to 2011, the unemployment rate increased both for those aged 15-24 and those aged over 25 (Figure 3.25). In 2017, unemployment rate has decreased for both age groups, as it has done since 2013.
Not Stated/Not Applicable | Agriculture, Forestry and Fishing and Other Service Activities | Industry | Wholesale & Retail Trade; Repair of Motor Vehicles and Motorcycles | Construction | MIP Threshold | |
2007 | 1.70799465254863 | 1.75688763088403 | 0.558499073879091 | 0.499765037287739 | 0.588210110737548 | 10 |
2008 | 1.87358148109543 | 1.93498156819004 | 0.60374250086338 | 0.585122082605814 | 0.881937675840937 | 10 |
2009 | 2.40596018509177 | 2.48423834194935 | 0.880921914279011 | 0.857310225213355 | 1.77538359421997 | 10 |
2010 | 3.03484170011435 | 3.1330538229626 | 1.22627465748618 | 1.23236651343928 | 2.72611737350604 | 10 |
2011 | 3.75618167447451 | 3.87417323938618 | 1.50855611867209 | 1.57854475853158 | 3.35703912660731 | 10 |
2012 | 4.06145865028006 | 4.20498352224674 | 1.55467181888627 | 1.75390206863376 | 3.29934172449176 | 10 |
2013 | 4.20692886796016 | 4.37287046336775 | 1.46564468869018 | 1.7342368780219 | 2.86861421063688 | 10 |
2014 | 4.02562737813532 | 4.18780973713899 | 1.32053864323138 | 1.59517951543741 | 2.28475931700942 | 10 |
2015 | 3.84314639144771 | 3.98553646979705 | 1.08901457413369 | 1.30320558585029 | 1.66350088033922 | 10 |
2016 | 3.63568796911074 | 3.74941923980781 | 0.872228917147154 | 1.02579948021669 | 1.15984927394596 | 10 |
2017 | 3.22584372874596 | 3.31732965691029 | 0.68134156592847 | 0.82376719316921 | 0.821731636208966 | 10 |
Figure 3.26 shows the percentage of people unemployed who classified their previous sector of employment. The not stated/not applicable category in this figure includes persons who have never worked previously and those who have worked previously but not during the past eight years. Unemployment rate continued to reduce in 2017, most notably in the construction sector and agricultural sector.
Total Financial Sector Liabilities (y-o-y % change) | MIP Threshold | |
2007 | 9.63848649760032 | 16.5 |
2008 | 6.46900910318536 | 16.5 |
2009 | 3.36040588186048 | 16.5 |
2010 | 6.33653410680598 | 16.5 |
2011 | -2.28278229151342 | 16.5 |
2012 | -1.79388051756489 | 16.5 |
2013 | 1.94773932069683 | 16.5 |
2014 | 19.5480411929891 | 16.5 |
2015 | 9.59782613431017 | 16.5 |
2016 | 1.54745718489766 | 16.5 |
2017 | 4.31088922285061 | 16.5 |
Source publication: Institutional Sector Accounts Non-Financial and Financial 2017
Get the data: StatBank IFI03
This indicator measures the year-on-year change in the sum of all liabilities of the financial sector. The value for this indicator reduced between the years 2007 and 2009, as a result of deleveraging in the banking sector. This indicator only breached the MIP threshold of 16.5% in the year 2014 (Figure 3.27). The sharp increase in financial sector liabilities in 2014 was driven mainly by growth in the investment funds sector (S.124).
It should be noted that the generally positive year-on-year growth in total financial sector liabilities over the period 2007-2017 has been heavily influenced by the expansion of the investment funds sector in Ireland. While there was a contraction in this indicator in the period 2011 to 2012, the investment funds sector has expanded every year since 2008, as can be seen in Figure 3.28. For more information on the financial sector see The Financial Sector in Ireland's National Accounts 2016 - Thematic Research Publication.
Supplementary analysis:
Central Bank | Banks and Money Market Funds | Investment Funds | Other Financial Corporations | Total Financial Sector | |
2007 | 13.246039 | 189.989 | 24.8889747319599 | 49.2175956007068 | 277.341609332667 |
2008 | 62.611 | 58.831 | -125.05180052568 | 207.692872068786 | 204.083071543106 |
2009 | 8.187 | -117.362 | 109.4768964 | 112.569570186166 | 112.871466586166 |
2010 | 79.122 | -127.316 | 186.212992 | 81.9687159091544 | 219.987707909154 |
2011 | -28.15 | -266.049788753134 | 173.074345 | 36.8514387230189 | -84.2740050301156 |
2012 | -38.537 | -149.020185593866 | 199.627479115882 | -76.7836230444617 | -64.7133295224453 |
2013 | -32.837 | -92.860825653 | 162.462267025444 | 32.2388194458734 | 69.0032608183172 |
2014 | -23.1677632110422 | 75.7750680872714 | 453.568690549474 | 199.848270194261 | 706.024265619964 |
2015 | -3.04001143301284 | -28.7275979925522 | 165.44822688065 | 280.730812385027 | 414.411429840112 |
2016 | 4.76406303865305 | 24.9376680294515 | 119.28956238761 | -75.7629131115226 | 73.2283803441921 |
2017 | 6.12585469311 | -20.8518584474323 | 291.6322294363 | -69.7506139667998 | 207.155611715178 |
Aside from a contraction in 2008 as a result of the financial crisis, the investment funds sector has shown continuous growth in balance sheet size since 2007. Figure 3.28 shows the effect of this growth on the financial sector in helping to offset the deleveraging which occurred in the banking sector from 2009 to 2013. The banking sector showed year-on-year growth in its balance sheet during 2014, for the first time since 2008. Since 2014, the banking sector liabilities have fluctuated between contracting and expanding, with small overall changes in size relative to previous years.
It should be noted that part of the large increase in liabilities of the other financial corporations subsector shown in 2014 and 2015 is a result of a newly available data source for this period. Another driver of this change is the growth in balance sheet size of treasury companies. More detail is provided in the CSO’s note on Measuring Shadow Banking in the Irish National Accounts.
Activity Rate (3 yr % change) | MIP Threshold | |
2007 | 3.1 | -0.2 |
2008 | 0.9 | -0.2 |
2009 | -1.9 | -0.2 |
2010 | -4 | -0.2 |
2011 | -3.6 | -0.2 |
2012 | -1.9 | -0.2 |
2013 | 0.2 | -0.2 |
2014 | 0.6 | -0.2 |
2015 | 1 | -0.2 |
2016 | 0.9 | -0.2 |
2017 | 0.9 | -0.2 |
Source publication: Labour Force Survey, Q2 2018
Get the Data: StatBank QLF28 (ILO Participation Rates), Eurostat database
Activity rate is the percentage of the population aged 15-64 years in the labour force as a proportion of the total population of the same age. This particular indicator is measured as a three-year percentage change. This indicator breached its threshold of -0.2% in the years 2009-2012. Since 2013, the activity rate has become positive, with a value of 0.9% in 2017.
Ireland | Germany | Greece | Netherlands | United Kingdom | MIP Threshold | |
2007 | 3.1 | 3 | 0.3 | 1.9 | 0.2 | -0.2 |
2008 | 0.9 | 2.1 | 0.3 | 2.4 | 0.4 | -0.2 |
2009 | -1.9 | 1.4 | 0.7 | 2.3 | 0 | -0.2 |
2010 | -4 | 1.1 | 1.3 | -0.3 | -0.1 | -0.2 |
2011 | -3.6 | 1.4 | 0.6 | -1.2 | -0.3 | -0.2 |
2012 | -1.9 | 0.9 | 0.1 | -0.7 | 0.4 | -0.2 |
2013 | 0.2 | 0.9 | -0.3 | 1.2 | 1 | -0.2 |
2014 | 0.6 | 0.4 | 0.1 | 0.9 | 1.2 | -0.2 |
2015 | 1 | 0.4 | 0.3 | 0.6 | 0.8 | -0.2 |
2016 | 0.9 | 0.3 | 0.7 | 0.3 | 0.9 | -0.2 |
2017 | 0.9 | 0.5 | 0.9 | 0.7 | 0.9 | -0.2 |
Get the data: Eurostat database
Ireland’s activity rate grew as a three-year percentage change from 2007 to 2008, as it did for many comparable European countries. However, between 2009 to 2012 it declined sharply, whereas many other countries still saw increases in activity rate or much smaller decreases.
15-19 yrs | 20-24 yrs | 25-34 yrs | 35-44 yrs | 45-54 yrs | 55-64 yrs | Total | |
2007 | 9.52500000000001 | 39.625 | 100.875 | 53.65 | 43.875 | 37.7 | 285.25 |
2008 | -5.89999999999999 | 25.95 | 72.2 | 49.8999999999999 | 38.8 | 31.075 | 212.025 |
2009 | -36.675 | -15.975 | 25.7499999999999 | 38.9999999999999 | 30.875 | 21 | 63.9749999999998 |
2010 | -58.65 | -73.55 | -17.75 | 21.925 | 22.8249999999999 | 17.575 | -87.6250000000001 |
2011 | -51.8 | -88.45 | -37.925 | 18.5250000000001 | 16.175 | 13.775 | -129.7 |
2012 | -25.175 | -75.525 | -43.3499999999999 | 25.0500000000002 | 18.225 | 14 | -86.7749999999997 |
2013 | -7.125 | -39.675 | -47.8249999999999 | 35.975 | 22.8750000000001 | 22.65 | -13.1249999999998 |
2014 | -3.24999999999999 | -21.375 | -50.45 | 41.175 | 25.625 | 25.375 | 17.1 |
2015 | -3.925 | -9.44999999999999 | -51.9250000000001 | 39.5999999999999 | 33.575 | 38.325 | 46.1999999999998 |
2016 | 10.025 | -0.275000000000006 | -40.325 | 37.475 | 26.55 | 34.1999999999999 | 67.6499999999999 |
2017 | 6.92499999999998 | -5.17500000000004 | -34.5999999999999 | 40.6999999999999 | 35.5249999999999 | 39.2 | 82.5749999999999 |
The increases in the activity rate from 2007 to 2008 related in large part to people aged 25 to 34 years of age joining the labour force. The decline in the activity rate from 2010 onwards was mainly due to people aged 15 to 34 leaving the labour force.
Ireland | Germany | Greece | Netherlands | Spain | United Kingdom | |
2007 | 75.6 | 75.6 | 66.5 | 78.5 | 71.8 | 75.5 |
2008 | 74.8 | 75.9 | 66.7 | 79.3 | 72.7 | 75.8 |
2009 | 73 | 76.3 | 67.4 | 79.7 | 73.1 | 75.7 |
2010 | 71.6 | 76.7 | 67.8 | 78.2 | 73.5 | 75.4 |
2011 | 71.2 | 77.3 | 67.3 | 78.1 | 73.9 | 75.5 |
2012 | 71.1 | 77.2 | 67.5 | 79 | 74.3 | 76.1 |
2013 | 71.8 | 77.6 | 67.5 | 79.4 | 74.3 | 76.4 |
2014 | 71.8 | 77.7 | 67.4 | 79 | 74.2 | 76.7 |
2015 | 72.1 | 77.6 | 67.8 | 79.6 | 74.3 | 76.9 |
2016 | 72.7 | 77.9 | 68.2 | 79.7 | 74.2 | 77.3 |
2017 | 72.7 | 78.2 | 68.3 | 79.7 | 73.9 | 77.6 |
Get the data: Eurostat database
Compared to three of the country’s largest European trading partners (Germany, the Netherlands, and the United Kingdom), Ireland has consistently had a relatively low activity rate.
Long-term Unemployment Rate (3 yr % change) | MIP Threshold | |
2007 | -0.1 | 0.5 |
2008 | 0.3 | 0.5 |
2009 | 2.1 | 0.5 |
2010 | 5.5 | 0.5 |
2011 | 7.1 | 0.5 |
2012 | 5.7 | 0.5 |
2013 | 1.1 | 0.5 |
2014 | -2.2 | 0.5 |
2015 | -3.9 | 0.5 |
2016 | -3.8 | 0.5 |
2017 | -3.6 | 0.5 |
Source publication: Labour Force Survey, Q2 2018
Get the data: StatBank QLF04 (Duration of Unemployment), Eurostat database
The long-term unemployment rate expresses the number of people aged 15 to 74 unemployed for over one year as a percentage of the active population of the same age. The MIP threshold is 0.5%. After small changes in the long-term unemployment rate (measured as a three-year percentage change) in 2007 and 2008, Ireland’s long-term unemployment rate increased from 2009 to 2013 at rates far above the 0.5% threshold. However, since 2014, long-term unemployment as a three-year percentage change has continued to decline.
Supplementary analysis:
15-24 years | 25-44 years | 45 years and over | Total | |
2007 | -0.0500000000000007 | 1.175 | 0.199999999999999 | 1.325 |
2008 | 3.425 | 3.85 | 2.35 | 9.625 |
2009 | 15.125 | 23.35 | 10.925 | 49.4 |
2010 | 28.675 | 63.675 | 29.525 | 121.875 |
2011 | 28.025 | 88.325 | 38.35 | 154.7 |
2012 | 17.25 | 67.75 | 37.525 | 122.525 |
2013 | -7.825 | 13.3 | 17.875 | 23.35 |
2014 | -15.925 | -33.125 | 1.775 | -47.275 |
2015 | -21.325 | -47.775 | -13.4 | -82.5 |
2016 | -13.825 | -46.375 | -19.475 | -79.675 |
2017 | -12.45 | -40.775 | -23.35 | -76.575 |
Separating out the figures, it is clear that the bulk of those who became long-term unemployed from 2009 to 2012, measured as a three-year change in absolute values, were aged between 25 and 44 years of age. The decline in the numbers unemployed from 2014 to 2016 was also mostly made up of people in this age category.
Long-term Unemployment Rate | |
Germany | 6.8 |
Czechia | 7.9 |
Netherlands | 8.9 |
Austria | 9.8 |
Hungary | 10.7 |
Denmark | 11 |
Slovenia | 11.2 |
Malta | 11.3 |
Estonia | 12.1 |
United Kingdom | 12.1 |
Bulgaria | 12.9 |
Lithuania | 13.3 |
Ireland | 14.4 |
Poland | 14.8 |
Luxembourg | 15.4 |
Latvia | 17 |
Sweden | 17.8 |
Romania | 18.3 |
Slovakia | 18.9 |
Belgium | 19.3 |
Finland | 20.1 |
France | 22.3 |
Portugal | 23.8 |
Cyprus | 24.7 |
Croatia | 27.2 |
Italy | 34.7 |
Spain | 38.6 |
Greece | 43.6 |
Source publication: Labour Force Survey Q2 2018
Get the data: StatBank QLF04 (Duration of Unemployment), Eurostat database
In 2017 Ireland had the 13th lowest long-term unemployment rate in the EU (Figure 3.35).
Ireland | Germany | Greece | France | Netherlands | Spain | United Kingdom | |
2007 | 9.2 | 11.8 | 22.7 | 19.5 | 9.4 | 18.1 | 14.3 |
2008 | 13.5 | 10.4 | 21.9 | 19 | 8.6 | 24.5 | 15 |
2009 | 24.5 | 11.1 | 25.7 | 23.6 | 10.2 | 37.7 | 19.1 |
2010 | 28.1 | 9.8 | 33 | 23.3 | 11.1 | 41.5 | 19.9 |
2011 | 29.6 | 8.5 | 44.7 | 22.6 | 10 | 46.2 | 21.3 |
2012 | 30.8 | 8 | 55.3 | 24.4 | 11.7 | 52.9 | 21.2 |
2013 | 26.7 | 7.8 | 58.3 | 24.9 | 13.2 | 55.5 | 20.7 |
2014 | 23.4 | 7.7 | 52.4 | 24.2 | 12.7 | 53.2 | 17 |
2015 | 20.2 | 7.2 | 49.8 | 24.7 | 11.3 | 48.3 | 14.6 |
2016 | 16.8 | 7.1 | 47.3 | 24.6 | 10.8 | 44.4 | 13 |
2017 | 14.4 | 6.8 | 43.6 | 22.3 | 8.9 | 38.6 | 12.1 |
Source publication: Labour Force Survey, Q2 2018
Get the data: StatBank QLF04 (Duration of Unemployment), Eurostat database
Since 2010 Ireland’s long-term unemployment rate has been higher than three of its major trading partners (Germany, the Netherlands, and the United Kingdom) but this gap has narrowed in recent years.
Youth Unemployment Rate (3 yr % change) | MIP Threshold | |
2007 | 0.4 | 2 |
2008 | 4.8 | 2 |
2009 | 15.7 | 2 |
2010 | 18.9 | 2 |
2011 | 16.1 | 2 |
2012 | 6.3 | 2 |
2013 | -1.4 | 2 |
2014 | -6.2 | 2 |
2015 | -10.6 | 2 |
2016 | -9.9 | 2 |
2017 | -9 | 2 |
Source publication: Labour Force Survey, Q2 2018
Get the data: StatBank QLF18 (ILO Participation, Employment and Unemployment Characteristics by Age Group)
The MIP threshold is a 2% change over three years. Ireland’s youth unemployment increased at a rate exceeding this threshold from 2008 to 2012, peaking with an 18.9% increase in 2010. Substantial reduction in youth unemployment can be seen from 2014 onwards.
Supplementary analysis:
Unemployed Persons Aged 15-19 yrs | Unemployed Persons Aged 20-24 yrs | |
2007 | 2.45 | 3.425 |
2008 | 7.7 | 14.925 |
2009 | 14.175 | 41.9 |
2010 | 9.7 | 40.5 |
2011 | 4.75 | 24.325 |
2012 | -2.875 | -3.84999999999999 |
2013 | -3.35 | -13.775 |
2014 | -6.075 | -18.05 |
2015 | -10.425 | -22.4 |
2016 | -7.25 | -19.075 |
2017 | -6.15 | -18.2 |
Get the data: StatBank QLF18
Classifying the change in youth unemployment by age, it can be seen that most of the change in youth unemployment is mainly driven by those aged from 20 to 24.
Youth Unemployment Rate | |
Germany | 6.8 |
Czechia | 7.9 |
Netherlands | 8.9 |
Austria | 9.8 |
Hungary | 10.7 |
Denmark | 11 |
Slovenia | 11.2 |
Malta | 11.3 |
Estonia | 12.1 |
United Kingdom | 12.1 |
Bulgaria | 12.9 |
Lithuania | 13.3 |
Ireland | 14.4 |
Poland | 14.8 |
Luxembourg | 15.4 |
Latvia | 17 |
Sweden | 17.8 |
Romania | 18.3 |
Slovakia | 18.9 |
Belgium | 19.3 |
Finland | 20.1 |
France | 22.3 |
Portugal | 23.8 |
Cyprus | 24.7 |
Croatia | 27.2 |
Italy | 34.7 |
Spain | 38.6 |
Greece | 43.6 |
Get the data: Eurostat database
Ireland’s youth unemployment rate (3-year change in percentage of active population aged 15-24) compared to its EU neighbours in 2017 is shown in Figure 3.39. Ireland had the 13th lowest youth unemployment rate in 2017.
Ireland | Germany | Greece | Netherlands | Spain | United Kingdom | |
2007 | 9.2 | 11.8 | 22.7 | 9.4 | 18.1 | 14.3 |
2008 | 13.5 | 10.4 | 21.9 | 8.6 | 24.5 | 15 |
2009 | 24.5 | 11.1 | 25.7 | 10.2 | 37.7 | 19.1 |
2010 | 28.1 | 9.8 | 33 | 11.1 | 41.5 | 19.9 |
2011 | 29.6 | 8.5 | 44.7 | 10 | 46.2 | 21.3 |
2012 | 30.8 | 8 | 55.3 | 11.7 | 52.9 | 21.2 |
2013 | 26.7 | 7.8 | 58.3 | 13.2 | 55.5 | 20.7 |
2014 | 23.4 | 7.7 | 52.4 | 12.7 | 53.2 | 17 |
2015 | 20.2 | 7.2 | 49.8 | 11.3 | 48.3 | 14.6 |
2016 | 16.8 | 7.1 | 47.3 | 10.8 | 44.4 | 13 |
2017 | 14.4 | 6.8 | 43.6 | 8.9 | 38.6 | 12.1 |
Get the data: Eurostat database
Figure 3.40 shows the youth unemployment rate as levels rather than changes in percentage points each year since 2007. Compared to the Netherlands and Germany, Ireland’s youth unemployment rate has been relatively high since 2009.
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