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External Imbalances

Indicator 1: Current Account Balance

Current Account Balance (%GDP, 3 yr avg)Upper MIP ThresholdLower MIP Threshold
2010-4.033252092505396-4
2011-2.499655105484366-4
2012-2.077512195886546-4
2013-1.160315188102396-4
2014-0.2548934589789946-4
20152.340178821104996-4
20160.4230846991026276-4
20170.2272585808200866-4
20180.761580508407446-4
2019-1.621144049130446-4

Source publication: International Accounts Q2 2020

Get the dataStatBank BPA15 (Current Account), StatBank N1905 (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 percentage of GDP and presented as a three-year average. A positive current account balance usually indicates that exports are greater than imports, and vice versa. From 2010 to 2014, Ireland ran a current account deficit (measured as a three-year average) and breached the lower MIP threshold in 2010. The value of this indicator increased year on year from 2010-2015. A current account surplus was recorded in 2015 as a result of the relocation of companies to Ireland and their associated contract manufacturing exports. The modest but increasing current account surpluses from 2016 to 2018 were followed by a current account deficit in 2019. This current account deficit, at -1.6% (measured as a three-year average), was the first in 5 years and was mainly due to increased R&D related IP imports.

Supplementary analysis:

Current Account Balance (%GDP, 3 yr avg)Modifed Current Account Balance (CA*) (%GDP, 3 yr avg)Upper MIP ThresholdLower MIP Threshold
2010-4.03325209250539-4.098194945387636-4
2011-2.49965510548436-2.569004913036366-4
2012-2.07751219588654-2.454964319626196-4
2013-1.16031518810239-1.760732194276826-4
2014-0.254893458978994-1.095005993157216-4
20152.340178821104990.5955455690610196-4
20160.4230846991026271.515412911844696-4
20170.2272585808200862.580352440527056-4
20180.761580508407443.142205599287126-4
2019-1.621144049130443.965164452393696-4
Table 2.1 Modified Current Account Balance CA*, 2010-2019 (% of GDP, 3 year average)

Source publication: International Accounts Q1 2020 Final

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) adjusted as follows:

CA* = CA less (depreciation on R&D service imports and trade in IP + aircraft leasing depreciation + redomiciled incomes + R&D related IP exports) adding back (net aircraft related to leasing + R&D related IP imports + R&D service imports)

Because it is borne by foreign investors, the depreciation of foreign-owned capital (such as trade in IP and aircraft leasing) is excluded from, and thus 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 as a percentage of GDP. Figure 2.2 shows that from 2010 to 2015, CA* was lower than CA. This difference is mainly due to the increase of redomiciled incomes. Values for both the CA and CA* were positive from 2015 to 2018, with CA* showing a consistent upward trend. In 2019, CA* stood at 4.0% compared to a value of -1.6% for CA. The decrease in the current account balance from €19.6bn in 2018 to -€40.4bn in 2019 was mainly due to large R&D related IP imports, significantly widening the gap between CA and CA*.

More information on the modified current account balance can be found here.

Indicator 2: International Investment Position

Net IIP (% GDP)MIP Threshold
2010-113.6-35
2011-139.2-35
2012-137.8-35
2013-133.5-35
2014-164.4-35
2015-198.4-35
2016-172.2-35
2017-165.4-35
2018-180.9-35
2019-174-35
Table 2.2 Net International Investment Position, 2010-2019 (% of GDP)

Source publication: International Accounts Q2 2020

Get the data: StatBank BPQ26 (IIP), StatBank N1905 (GDP)

The net IIP is calculated as the value of financial assets of residents of an economy that are claims on non-residents, and gold bullion held as reserve assets, less the liabilities of residents of an economy to non-residents.

Ireland's net IIP as a percentage of GDP has breached the MIP threshold of -35% every year from 2010 to 2019.

Supplementary analysis:

General GovernmentCentral BankMonetary Financial InstitutionsNon-Financial CorporationsOther SectorsNet IIPMIP Threshold
2012-61.8392498172515-44.2748309576023-0.55281432748538-66.525036549707635.4218064692982-137.8-35
2013-60.5792357028327-28.5013584535899-6.6603197933369-65.873864243719928.1316809192945-133.5-35
2014-67.8623403775596-8.76514235349581-1.30003894480087-97.836001393813911.3411359583496-164.4-35
2015-50.59481915747590.962515170076054.59572460652912-164.93096902070711.5680627575109-198.4-35
2016-46.26914171980992.178288018492748.81765377073879-159.06155260718822.1144792085935-172.2-35
2017-41.11562750718243.73651323126513.361430421423-148.5260680388967.14045547909863-165.4-35
2018-38.25760124286677.3620888967723412.4892197219453-159.131889438692-3.38210198601775-180.9-35
2019-35.317412393168412.522644227933617.8317151194632-172.4539462043363.39530011150088-174-35
Table 2.3 Breakdown of Net International Investment Position, 2012-2019 (% of GDP)

Get the data: StatBank BPQ22 (IIP), StatBank N1905 (GDP)

Figure 2.4 and Table 2.3 above show the contribution of various sectors to the net IIP as a percentage of GDP. Non-financial corporations (NFCs) contributed the most to the net IIP in every year, with their contribution more than doubling 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. The portion of the net IIP attributable to general government has almost halved in the past five years, from its most significant value of -67.9% of GDP in 2014 to -35.3% of GDP in 2019. This reduction is mainly due to the significant increase in GDP over the period, which was largely driven by NFCs.

Competitiveness Indicators

Indicator 3: Real Effective Exchange Rate

REERUpper MIP ThresholdLower MIP Threshold
2010-5.45-5
2011-9.65-5
2012-12.25-5
2013-3.85-5
2014-3.65-5
2015-6.45-5
2016-7.15-5
2017-6.35-5
20182.35-5
2019-1.45-5

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 indicator is expressed as a three-year percentage change, deflated by the consumer price indices relative to a panel of 42 countries. From 2010 to 2012, the lower MIP threshold of -5% was breached, followed by a recovery period during 2013 and 2014. The indicator again breached the lower threshold each year from 2015 to 2017. The three-year percentage change in REER in 2018 and 2019, at 2.3% and -1.4% respectively, breached neither the upper nor the lower MIP thresholds.

 

Supplementary analysis:

IrelandEU28GermanyNetherlandsUnited KingdomUnited States
2010-5.4-0.0107142857142856-3.8-1.5-20.4-4.66518157870213
2011-9.6-2.52142857142857-4.9-2.4-7.8-5.41429556989579
2012-12.2-4.28928571428571-9-66-6.99519593138802
2013-3.8-0.721428571428572-1.80.53.4-2.46276743807709
2014-3.6-0.635714285714286-0.40.710.14.38476329146846
2015-6.4-1.42857142857143-1.5-0.910.712.8386593797127
2016-7.1-2.1-2.1-2.30.217.2364980752768
2017-6.3-2.00357142857143-2-1.8-10.815.0207444044561
20182.32.989285714285715.33.2-132.83070452765794
2019-1.41.371428571428572.12.4-2.91.5496942088749

Get the data: Eurostat databaseWorld Bank database

The pattern of Ireland’s REER has been similar to other Euro area countries and to the EU-28 average. However, it has been different to those of the United Kingdom and the USA where other currencies are 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 ThresholdLower MIP Threshold
Sweden-8.35-5
United Kingdom-2.95-5
Ireland-1.45-5
Portugal-0.45-5
Denmark-0.25-5
Cyprus-0.15-5
Italy0.25-5
Romania0.25-5
Finland0.25-5
Greece0.35-5
Hungary0.35-5
Slovenia15-5
Malta1.35-5
Croatia1.55-5
France1.65-5
Spain1.75-5
Luxembourg25-5
Germany2.15-5
Austria2.15-5
Netherlands2.45-5
Belgium2.65-5
Slovakia2.65-5
Poland2.85-5
Latvia3.75-5
Lithuania3.75-5
Bulgaria4.55-5
Estonia6.25-5
Czechia8.75-5

Get the data: Eurostat database

Figure 2.7 shows the three-year percentage changes in REER values for the EU-28 in 2019. Ireland had the third most negative percentage change in REER value in 2019. Sweden reported the largest decrease at -8.3%, while Czechia experienced the largest increase at 8.7%.

Indicator 4: Export Market Share

Export Market Share (5 yr % change)MIP Threshold
2010-6.27-6
2011-10.29-6
2012-18.43-6
2013-10.74-6
2014-14.81-6
201537.63-6
201658.36-6
201771.11-6
201878.39-6
201971.02-6

Source publication: International Accounts Q2 2020

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 a negative export market share (taken as a five-year percentage change), and breached the MIP threshold, each year from 2010 to 2014. This equates to a decrease in Ireland's exports relative to total world exports. This trend changed in 2015, when the indicator value rose to 37.6%. 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. The export market share indicator continued to show positive 5-year percentage changes from 2015 onwards and stood 71.0% in 2019.

Supplementary analysis:

Export Market Share (5 yr % change)MIP Threshold
Sweden-5.07-6
Belgium-3.08-6
Italy-2.63-6
United Kingdom-1.35-6
Germany-1.11-6
France-0.45-6
Netherlands0.73-6
Austria1.39-6
Slovakia1.89-6
Estonia1.99-6
Denmark2.6-6
Spain2.64-6
Latvia3.57-6
Greece3.65-6
Finland4.57-6
Czechia5.09-6
Hungary5.9-6
Portugal8.52-6
Luxembourg10.27-6
Cyprus13.67-6
Bulgaria15.43-6
Slovenia15.95-6
Lithuania16.75-6
Romania17.89-6
Malta18.11-6
Croatia22.52-6
Poland25.07-6
Ireland71.02-6

Get the data: Eurostat database

Ireland had the highest export market share indicator value in the EU in 2019, at 71.0%. As this indicator is calculated as a five-year percentage change, this figure continues to reflect the large year-on-year increase of 40.7% seen in 2015.

IrelandChinaGermanyNetherlandsUnited KingdomMIP Threshold
2010-6.2745.5905308443285-8.11-8.15-23.86-6
2011-10.2945.5905308443285-9.35-8.35-26.14-6
2012-18.4333.7604373952319-16.84-12.91-21.51-6
2013-10.7430.819465067695-13.15-11.51-12.26-6
2014-14.8132.2374806340524-9.69-11.52-10.43-6
201537.6329.9889519270303-3.3-6.881.09-6
201658.3627.41358912187191.99-3.10.11-6
201771.1118.02643946910745.641.39-2.3-6
201878.3910.76173860140573.21.72-0.78-6
201971.025.16811471115363-1.110.73-1.35-6

Get the data: Eurostat databaseWorld Bank database

Figure 2.10 shows Ireland’s change in export market share relative to three of its largest EU trading partners and China. From 2010-2014 Ireland and the other EU countries show negative export market shares, breaching the MIP threshold of -6%. Conversely, China showed strong positive changes in export market share from 2010-2016, declining significantly after 2016 to stand at 5.2% in 2019. 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.

Indicator 5: Nominal Unit Labour Cost

Nominal Unit Labour Costs (3 yr % change)MIP Threshold
2010-4.773268558810459
2011-14.97962215351859
2012-10.83405549437149
2013-1.769787279681619
2014-2.833234068727329
2015-18.50774998997239
2016-16.09514271482249
2017-14.55474991564939
2018-1.240640595935649
2019-4.357031514920069

Source publication: National Income and Expenditure 2019

Get the data: StatBank N1901 (Employee Compensation/Total Labour Costs), Eurostat database (Total Employment, Number of Employees), Eurostat database (GDP at Market Prices)

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 cost index corresponds to an increase in labour costs relative to labour productivity, resulting in lower competitiveness. This Macroeconomic Scoreboard indicator is presented as a three-year percentage change.

Ireland has not breached the MIP threshold for this indicator at any point during the period 2010-2019. The indicator value has been consistently negative, which would indicate increasing competitiveness for Ireland, however it should be noted that large negative values of this indicator from 2015 to 2017 were substantially affected by the level-shift in GDP in 2015. In 2019, the three-year change in Ireland’s nominal unit labour cost was -4.4%. 

Supplementary analysis:

Nominal Unit Labour Costs (3 yr % change)Labour Productivity (3 yr % change)Labour Costs (3 yr % change)MIP Threshold
2010-4.773268558810455.08377948850270.06784848176831079
2011-14.979622153518512.3521238320294-4.477799799461869
2012-10.83405549437149.81801036834176-2.079733817778949
2013-1.769787279681611.78489273193038-0.01648335227690599
2014-2.833234068727324.72058593366261.75360661601929
2015-18.507749989972325.65623298629872.400091538377449
2016-16.095142714822425.67025639833775.443449280942079
2017-14.554749915649325.85151102749637.534138332378459
2018-1.240640595935649.578757217225148.21927867066659
2019-4.3570315149200614.33311378261189.351583983113959

Get the data: StatBank N1901 (Employee Compensation/Total Labour Costs), Eurostat database (Total Employment, Number of Employees), Eurostat database (GDP at Market Prices)

Breaking nominal unit labour cost into its two components shows the interrelationship between labour costs and productivity. Since 2010, the three-year percentage changes in labour costs have been consistently lower than those in labour productivity. From 2011 to 2012, and again from 2015 to 2017, labour productivity increased at a significantly faster rate than labour costs, resulting in sharp declines in nominal unit labour costs and increasing overall economic competitiveness. The gap between labour productivity growth and labour cost growth was narrower from 2013 to 2014 and again from 2018 to 2019. This resulted in smaller decreases in nominal unit labour costs and more moderate growth in overall economic competitiveness during these periods. It should be noted that labour productivity increases from 2015 to 2017 were mainly due to the large increase in GDP in 2015.

Internal Indicators

Indicator 6: Deflated House Price Index

Deflated House Price Index (annual % change)MIP Threshold
2010-12.28625677514266
2011-17.83621273041416
2012-14.5480171174646
2013-0.03620967295066256
201415.47148747884556
201510.80764979471036
20167.159209535524926
20179.766193041749616
20187.866027768336126
2019-0.01506142481268846

Source publication: Residential Property Price Index, August 2020

Get the data: StatBank HPA06 (Residential Property Price Index), StatBank N1905 (Consumption at Current Market Prices by Item and Year), StatBank N1906 (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 percentage change 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. These series are chain linked to 2015 for comparability across countries.

Figure 2.13 shows that Ireland experienced decreases in the deflated house price index from 2010 to 2012, following the financial crisis. A turning point was seen in 2013, with neither an increase nor a decrease in deflated house prices over the year. From 2014 to 2018, Ireland saw large increases in the deflated house price index and breached the MIP threshold of 6% in each of these years. These increases show that there was higher inflation in the Irish housing market relative to the final consumption of households. In 2019, the deflated price index showed no year-on-year change. This was a result of the same level of inflation being seen for house prices as that of final consumption expenditure of households in general, approximately 2.3% for both. This constituted the first time in 6 years that this indicator did not breach the MIP threshold.

Deflated House Price Index (annual % change)Excluding DublinDublinMIP Threshold
2010-12.2862567751426-10.7232272068965-15.90336331006566
2011-17.8362127304141-18.6595613077261-16.79453896094476
2012-14.548017117464-16.2312166546751-12.72074253851386
2013-0.0362096729506625-8.112330587349948.350515132924066
201415.47148747884556.7993263621042623.07462963233046
201510.807649794710312.48507625050119.296295956965456
20167.159209535524929.662722643489574.756672792043626
20179.7661930417496111.07705291833778.413189175298816
20187.866027768336129.579738231522276.249063816951836
2019-0.01506142481268842.36418313986793-2.322699941555676

Get the data: StatBank HPA06 (Residential Property Price Index), StatBank N1905 (Consumption at Current Market Prices by Item and Year), StatBank N1906 (Consumption at Constant Market Prices by Item and Year)

Figure 2.14 shows a comparison of the year-on-year percentage change in the deflated house price index between Dublin and the rest of the country. In 2010, Dublin experienced a greater drop in the deflated house price index compared to the rest of the country. Similarly, Dublin experienced faster growth in the deflated house price index compared to the rest of Ireland in 2013 and 2014, as house prices began to recover post-recession. From 2014 to 2018, the deflated house price index both for properties within and outside Dublin increased, with prices outside Dublin increasing at a faster rate than prices in Dublin from 2015. In 2019, for the first time since 2012, the annual percentage change in the deflated house price index for Dublin was negative (-2.3%), while the corresponding figure for properties outside Dublin remained positive (2.4%).

Indicator 7: Private Sector Credit Flow

Private Sector Credit Flow (% GDP)MIP Threshold
20102.2240551632553414
201116.441873934585914
2012-0.50053853312125814
2013-1.3708122436896914
20142.5484436609162314
2015-2.3356701087097814
2016-15.767149318107614
20170.1687622250801314
2018-8.6254931320446114
2019-9.1388683078212514

Source publication: Institutional Sector Accounts Non-Financial and Financial 2019

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 2.15 shows that, aside from 2011, the indicator has been below the MIP threshold since 2010. The threshold breach in 2011 was caused principally by refinancing operations of large multinational groups during this period. In 2019, private sector credit flow was -9.1% of GDP, well below the MIP threshold of 14%.

Supplementary analysis:

Non-Financial CorporationsHouseholdsTotal
201013.5475085213224-9.81835238612053.72915613520191
201136.9587721037702-8.8512459229457828.1075261808244
20126.44057482644405-7.317037322579-0.876462496134952
20132.100474776747-4.56267696487747-2.46220218813047
201410.5530736457343-5.579835672536614.97323797319773
2015-1.61993020239336-4.51945593038586-6.13938613277921
2016-39.9761057444093-2.72282680172762-42.6989325461369
20171.44886989474456-0.9419303343441260.506939560400433
2018-27.0698025029452-1.13435900908064-28.2041615120259
2019-32.2299843656738-0.309063220007619-32.5390475856814
Table 2.4 Breakdown of Private Sector Credit Flow, consolidated, 2010-2019 (€ billion)

The breakdown of private sector credit flow in Figure 2.16 shows that flows of non-financial corporations were generally much greater than flows of households. A positive credit flow represents a net incurrence of debt during the year whereas a negative credit flow indicates a net repayment of debt. There was a sharp increase in flows of corporate liabilities in 2011, reflecting broad activity in the multinational sector. In 2016, 2018 and 2019, the large negative credit flow values of -€42.7bn, -€28.2bn and -€32.5bn, respectively, were mainly caused by net repayment of non-financial corporate debt related to the funding of intellectual property.

The negative credit flows occurring in the household sector from 2010 to 2019, cumulatively amounting to €45.8bn, correspond to a net repayment, primarily of mortgage related debt. In 2019, household private sector credit flow was -€0.3bn, which means that the incurrence of debt and the repayment of debt by households were nearly equal that year.

Indicator 8: Private Sector Debt, consolidated

Private Sector Debt (% of GDP)MIP Threshold
2010257.1133
2011274.3133
2012279.1133
2013267.5133
2014277.9133
2015305.1133
2016285.4133
2017247.8133
2018231133
2019202.4133

Source publication: Institutional Sector Accounts Non-Financial and Financial 2019

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, as shown in Figure 2.17. 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 202.4% of GDP at the end of 2019.

Supplementary analysis:

NFCs (Foreign Parent)NFCs (Irish Parent)HouseholdsTotal Private Sector DebtMIP Threshold
201086.734120972840260.1047270298317110.262688046068257.10153604874133
2011102.74960719738466.8951921895748104.612840469169274.257639856128133
2012110.96419418124969.655942823690998.503816546134279.123953551074133
201396.295246826183778.016087170696693.2372650321046267.548599028985133
2014110.70490951692686.273822288277580.9082633849839277.886995190187133
2015166.04135038380282.518688104866756.5034697112683305.063508199937133
2016141.10443931554492.029467169810252.2405233339484285.374429819303133
2017116.75241322132384.772567724643446.2946494026334247.8196303486133
2018123.92691869615565.744366352124341.283957156272230.955242204551133
2019108.79439147682556.394154513527137.1766172551123202.365163245465133
Table 2.5 Breakdown of Private Sector Debt, consolidated, 2010-2019 (% of GDP)

Figure 2.18 shows the residency of an NFC’s ultimate controlling parent as the basis for distinguishing between Irish-controlled and foreign-controlled enterprises. In the period since 2010, 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.

Household debt as a percentage of GDP has fallen every year from 2010 to 2019. In contrast, foreign parent NFCs have showed a less clear trend, with significant year on year fluctuations. Foreign parent NFC debt grew by over 50% in 2015, causing the overall increase in private sector debt that year. This notable increase was driven by corporate restructuring, through both imports of individual assets and reclassifications of entire balance sheets in 2015, which meant that the level of capital assets in Ireland increased dramatically compared to 2014.

In 2017, for the first time since the economic crisis, the combined debt of Irish parent non-financial corporations and households fell below the MIP threshold. In 2019, debt of Irish parent NFCs and households decreased again, to 56.4% of GDP and 37.2% of GDP respectively.

Redomiciled PLCsForeign Parent (ROW Debt)Irish Parent (ROW Debt)Foreign Parent (Irish Debt)Irish Parent (Irish Debt)HouseholdsMIP Threshold
20128.6139470942982569.184516504771511.543631735788241.779677676477549.498363993604598.503816546134133
201312.978169221004866.537307451407914.838371274841229.757939374775850.199546674850593.2372650321046133
201425.415598999221177.510823104562717.815479819793233.194086412363143.042743469263380.9082633849839133
201528.1698200328701146.63246902155515.944627790294819.408881362247438.404240281701856.5034697112683133
201631.8395266970448126.62431999104526.225662851711914.480119324499933.964277621053652.2405233339484133
201724.501600854897299.288439684399931.139302538554917.463973536922829.131664331191346.2946494026334133
201829.4164654969938107.84407941605116.164506305291616.082839280104120.16339454983941.283957156272133
201922.058660387416494.645314061359616.776324237911114.149077415465717.559169888199637.1766172551123134
Table 2.6 Breakdown of Private Sector Debt by Location of Counterparty, 2012-2019 (% of GDP)

Figure 2.19 shows a breakdown of private sector debt by location of counterparty i.e. whether the debt is held with an entity resident in Ireland (Irish Debt) or outside of Ireland (Rest of World Debt). This analysis exploits newly available classifications from the BPM6 methodology. The debt of redomiciled PLCs is shown separately from the other non-financial corporations.

Prior to 2017, entities with an Irish parent predominantly borrowed from Irish counterparties, whilst entities with foreign parents were 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 for reclassifications of entire balance sheets in 2015. As a percentage of GDP, 2019 saw a reduction in private sector debt across all counterparty groups except for Irish parent NFC non-resident (ROW) debt.

Indicator 9: General Government Debt

General Government Debt (% GDP)MIP Threshold
201086.018106563927660
2011110.98326421021260
2012119.94928728070260
2013119.89577765900660
2014104.21731198884960
201576.705230680266260
201674.082102145792860
201766.996574418999560
201862.96324613286260
201957.350772782550860

Source publication: Government Finance Statistics October 2020

Get the data: StatBank GFQ13 (Government Debt), StatBank N1924 (GDP)

General government gross debt (GG debt) consists of liabilities in the financial instruments of currency and deposits (AF.2), debt securities (AF.3) and loans (AF.4). The scoreboard indicator is the ratio of GG debt to GDP, which is the standard approach to comparing public debt internationally. It should be noted that the MIP threshold is set at the same level as the Stability and Growth Pact Treaty obligations (see Stability and Growth Pact chapter).

The GG debt ratio grew rapidly from 2010 to its peak in 2012/2013 of 119.9%, an increase of 34 percentage points. The debt ratio has been in decline since 2013. In 2014 the Irish state repaid the borrowings provided by the IMF, as well as the bilateral loans from Sweden and Denmark, thus reducing both the ratio and level of debt. The decline in the GG debt ratio of 28 percentage points in 2015 is primarily due to the exceptional level of growth in GDP that year. The ratio has continued to decrease in subsequent years, more as a result of GDP increases than any substantial reduction in nominal debt. By the end of 2019, GG debt as a percentage of GDP decreased to 57.4%, constituting the first time in over 10 years that this indicator did not breach the MIP threshold. The value of GG debt in 2019 stood at €204.2bn.

The GG Debt level 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: Ireland - Impact of Government Support for Financial Institutions October 2019 (XLS 18KB)  (Source: CSO, Excel file 18KB).

Supplementary analysis:

General Government Debt (% GDP)General Government Debt (% GNI*)MIP Threshold
201086.0181065639276111.89207221045660
2011110.983264210212150.02095408288360
2012119.949287280702166.06655755591960
2013119.895777659006157.29916877273560
2014104.217311988849136.44219028834460
201576.7052306802662123.9553170167960
201674.0821021457928114.81640455096960
201766.9965744189995108.07230274357360
201862.963246132862103.61294803273260
201957.350772782550895.550002807569260

Figure 2.21 shows GG debt both as a percentage of GDP, and as a percentage of GNI* (modified GNI excluding globalisation effects). Presenting debt in the context of GNI* can be more useful for analytical comparisons and, in particular, as a measure of the debt burden. In 2015, there is a significant change in the differential between government debt as a percentage of GDP and that as a percentage of GNI*, as a result of the substantial jump in GDP during the year. The difference between government debt as a percentage of GDP and government debt as a percentage of GNI* stood at 47.3% 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, between 2015 and 2019, the reduction in government debt as a percentage of GDP/GNI* is a result of increases in the values of GDP and GNI*, with the level of government debt in monetary terms at the end of 2019 higher than it had been in 2015. For further information on GNI* and its calculation see the National Income and Expenditure 2019.

Currency and Deposits Debt SecuritiesLoansMIP Threshold
20108.1772890854873257.480968743129120.359634390436960
201134.154873790617655.004354601714521.823866253990560
201235.464097775116549.871132183896434.614240366811860
201317.457241819136462.725463921715539.713076180753160
201410.718976622246561.019345530095132.47898394637860
20157.8801473274529947.846642866457820.978607935313460
20167.8717690323337845.744627962890120.465546115128260
20177.19066083100843.314627335806616.491415601379360
20186.6204148647537941.05110450690415.29184256890660
20196.2406103427206737.513234776103913.596903567627260

Source publication: Government Finance Statistics October 2020

Get the data: StatBank GFQ13 (Government Debt), StatBank N1924 (GDP)

Figure 2.22 shows a breakdown of general government debt into its constituent debt instruments, each shown as a percentage of GDP. The significant increase in loan liabilities during the years 2010-2013 is predominantly a result of the EU-IMF programme of financial support. In 2011, currency and deposits saw much larger growth than debt securities or loans. 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. The decline in the size of currency and deposits once again in the period from 2013 to 2015 is related to the liquidation of IBRC. Between 2015 and 2019, all debt instruments experienced a decrease as a percentage of GDP.

GG Debt (% GDP)MIP Threshold
Estonia8.460
Bulgaria20.460
Luxembourg22.160
Czechia30.860
Denmark33.260
Sweden35.160
Romania35.260
Lithuania36.360
Latvia36.960
Malta43.160
Poland4660
Slovakia4860
Netherlands48.660
Ireland (% of GDP)57.350772782550860
Finland59.460
Germany59.860
Slovenia66.160
Hungary66.360
Austria70.460
Croatia73.260
United Kingdom85.460
Spain95.560
Cyprus95.560
Ireland (% of GNI*)95.550002807569260
France98.160
Belgium98.660
Portugal117.760
Italy134.860
Greece176.660

Source Publication: National Income and Expenditure 2019

Get the data: StatBank N1924 (IE GDP), StatBank GFQ13 (IE Government Debt), Eurostat database 

Expressed as a percentage of GDP, Ireland’s general government gross debt (57.4% of GDP) is mid-table, or 14th lowest, with respect to other EU member states. Ireland's GG Debt as a percentage of GNI* (modified GNI excluding globalisation effects) was 95.6%. If GNI* for Ireland is comparable to GDP for other countries which are less significantly affected by globalisation, then Ireland had the sixth highest level of government debt as a ratio of economic activity in the EU in 2019.

Indicator 10: Unemployment Rate

Unemployment Rate (3 yr avg)MIP Threshold
201011.333333333333310
201114.210
201215.158333333333310
201314.910
201413.7510
201511.910
201610.108333333333310
20178.3833333333333310
20186.9833333333333310
20195.8333333333333310

Source publication: Labour Force Survey Q2 2020

Get the data: StatBank QLF02

The 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 exceeded the MIP threshold from 2010 to 2016 (Figure 2.24). Unemployment has exhibited a downward trend since 2012, dropping below the threshold in 2017. The unemployment rate was 5.8% in 2019, the lowest level over the 10-year period.

Supplementary analysis:

Unemployed 15-24 years (3 yr avg)Unemployed 25+ years (3 yr avg)Total Unemployed
201081.95177.375259.325
201191.65228.608333333333320.258333333333
201289.3916666666667248.475337.866666666667
201383.675247.883333333333331.558333333333
201475.625230.933333333333306.558333333333
201564.6916666666667202.733333333333267.425
201655.9083333333333173.633333333333229.541666666667
201747.8145.183333333333192.983333333333
201842.4666666666667120.95163.416666666667
201938.275100.5138.775

Get the data: StatBank QLF04

Figure 2.25 shows the number of unemployed people, as a three-year average, broken down by age, illustrating the share of those who are younger than 25 and those who are aged 25 and over. From 2010 to 2011, unemployment increased both for those aged 15-24 and those aged over 25 (Figure 2.25). The number of unemployed people in both age groups has been decreasing since 2012. In 2019, approximately 100,000 people aged over 25 were unemployed, while the corresponding figure for those aged between 15 and 24 was just over 38,000.

For further information on the unemployment levels for different age groups, please see the Labour Force Survey results, and the associated StatBank tables. Further information on youth unemployment can also be found in Indicator 14 below.

IndustryConstructionWholesale & Retail Trade; Repair of Motor Vehicles and MotorcyclesAll Other Services + Agriculture, Forestry and FishingNot Stated/Not ApplicableTotal Unemployed
201028.116666666666762.47528.241666666666771.011111111111169.7666666666667259.325
201134.12575.9535.67589.677777777777884.9166666666667320.258333333333
201234.766666666666773.791666666666739.208333333333399.327777777777890.8083333333333337.866666666667
201332.72564.02538.725102.09166666666794.0083333333333331.558333333333
201429.57551.12535.725100.01666666666790.2833333333333306.558333333333
201524.591666666666737.541666666666729.42588.22586.9333333333333267.425
201619.908333333333326.42523.408333333333375.183.1833333333333229.541666666667
201715.766666666666718.966666666666719.083333333333362.308333333333374.75192.983333333333
201812.416666666666712.358333333333316.208333333333354.858333333333365.825163.416666666667
201910.23333333333338.6513.908333333333348.87555.6583333333333138.775
Table 2.7 Number of unemployed people (by former sector of employment, 3 year average) 2010-2019

Figure 2.26 shows a breakdown of the number of unemployed people, as a three-year average, by 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 reduced across all sectors for each year in the period 2014 to 2019. The not stated/not applicable category, which includes those who are long-term unemployed, has had the largest contribution to the three year average numbers of unemployed people every year since 2016.

Indicator 11: Total Financial Sector Liabilities

Total Financial Sector Liabilities (y-o-y % change)MIP Threshold
20106.3365341068059416.5
2011-2.2827822915134116.5
2012-1.7938805175648616.5
20131.9477393206968416.5
201419.548041192989116.5
20159.6347897154456416.5
20161.5132202635472916.5
20174.2560728202423216.5
20184.551757805504316.5
201915.466355912935916.5

Source publication: Institutional Sector Accounts Non-Financial and Financial 2019

Get the data: StatBank IFI03

This indicator measures the year-on-year change in the sum of all liabilities of the financial sector. Figure 2.27 shows that this indicator only breached the MIP threshold of 16.5% in the year 2014. The generally positive year-on-year growth in total financial sector liabilities over the period 2010-2019 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 2010, as can be seen in Figure 2.28. For more information on the financial sector see The Financial Sector in Ireland's National Accounts 2018.

Supplementary analysis: 

Central BankBanks and Money Market FundsInvestment FundsOther Financial CorporationsTotal Financial Sector
201079.12-127.32186.21299281.9687159091544219.981707909154
2011-28.15-266.05173.07434536.8514387230189-84.2742162769814
2012-38.54-149.02199.627479115882-76.7836230444617-64.7161439285796
2013-32.83-92.86162.46226702544432.238819445873369.011086471317
2014-23.1775.7699999999999453.568690549474199.848270194261706.016960743735
2015-3.04000000000001-28.72165.44822688065282.326812385027416.015039265677
20164.7600000000000124.9300000000001119.28956238761-77.358913111522871.6206492760875
20176.20999999999999-20.8099999999999281.51422811499-62.3861444044096204.52808371058
20182.5663.079999999999992.105056259169570.2988704221257228.043926681295
201918.37142.06576.01775478144173.6742630339719810.122017815413
Table 2.8 Breakdown of Change in Financial Sector Liabilities, 2010-2019 (€ billion)

The investment funds sector has shown continuous growth in balance sheet size since 2010. Figure 2.28 shows the effect of this growth on the financial sector in helping to offset the deleveraging which occurred in the banking sector from 2010 to 2013. The banking sector showed year-on-year growth in its balance sheet during 2014 for the first time in the period shown. Between 2015 and 2017, the banking sector liabilities have fluctuated between contracting and expanding, with small overall changes in size relative to previous years. More substantial levels of growth were seen in the banking sector in 2018 and 2019. An €810bn increase in total financial sector liabilities was seen in 2019, the largest increase in the ten-year period under observation. The investment funds sector accounted for €576bn of this increase, with the change driven by strong positive equity market performance and high levels of investment in debt securities during the year.

It should be noted that part of the large increase in liabilities of the other financial corporations sector 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.

Indicator 12: Activity Rate

Activity Rate (3 year p.p change) MIP Threshold
2010-4-0.2
2011-3.6-0.2
2012-1.9-0.2
20130.2-0.2
20140.6-0.2
20151-0.2
20160.9-0.2
20170.9-0.2
20180.8-0.2
20190.6-0.2

Get the Data: Eurostat database

The activity rate (also known as the participation 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 indicator is measured as a three-year percentage point change. This indicator breached its threshold of -0.2pp during the years 2010-2012. Since 2013, the three-year percentage point change in the activity rate has been positive, with a value of 0.6pp in 2019.

IrelandGermanyGreeceNetherlandsUnited KingdomMIP Threshold
2010-41.11.31.2-0.1-0.2
2011-3.61.40.60.3-0.3-0.2
2012-1.90.90.10.90.4-0.2
20130.20.9-0.31.51-0.2
20140.60.40.10.91.2-0.2
201510.40.30.60.8-0.2
20160.90.30.70.30.9-0.2
20170.90.50.90.70.9-0.2
20180.810.40.71-0.2
20190.61.30.21.20.8-0.2

Get the data: Eurostat database

Figure 2.30 shows the change in Ireland’s activity rate compared with selected EU countries. From 2010 to 2012, the change in Ireland’s activity rate breached the MIP threshold of -0.2pp. While Germany and the Netherlands did not breach the MIP threshold at any time during the ten-year period, the United Kingdom and Greece breached the threshold in 2011 and 2013 respectively.

15 - 19 years20 - 24 years25 - 34 years35 - 44 years45 - 54 years55 - 64 yearsTotal
2010-58.65-73.55-17.7521.92522.824999999999917.575-87.6250000000001
2011-51.8-88.45-37.92518.525000000000116.17513.775-129.7
2012-25.175-75.525-43.349999999999925.050000000000218.22514-86.7749999999997
2013-7.125-39.675-47.824999999999935.97522.875000000000122.65-13.1249999999999
2014-3.24999999999999-21.375-50.4541.17525.62525.37517.0999999999999
2015-3.925-9.44999999999999-51.925000000000139.599999999999933.57538.32546.1999999999998
201610.025-0.275000000000006-40.32537.47526.5534.267.6499999999999
20176.92499999999998-5.17500000000004-34.599999999999940.699999999999935.524999999999939.282.5749999999999
20188.849999999999992.59999999999999-27.324999999999941.52533.837.27596.725
2019-3.700000000000024.125-23.9536.099999999999946.17539.52598.2749999999999
Table 2.9 Active population (by age group, 3 year change), 2010-2019

Figure 2.31 shows the three-year change in the number of labour force participants by age group. The decline in the activity rate from 2010 to 2012 was due to a large reduction in the number of 15 to 34 year olds in the labour force.

IrelandGermanyGreeceNetherlandsSpainUnited Kingdom
201071.676.767.877.973.575.4
201171.277.367.378.173.975.5
201271.177.267.57974.376.1
201371.877.667.579.474.376.4
201471.877.767.47974.276.7
201572.177.667.879.674.376.9
201672.777.968.279.774.277.3
201772.778.268.379.773.977.6
201872.978.668.280.373.777.9
201973.379.268.480.973.878.1

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.

Indicator 13: Long-term Unemployment Rate

Long Term Unemployment Rate (3 year p.p change) MIP Threshold
20105.462342735422550.5
20117.030288657403710.5
20125.639485957045920.5
20131.059882532207550.5
2014-2.193271202029770.5
2015-3.847950514264570.5
2016-3.698999115013790.5
2017-3.522587823507630.5
2018-3.228208165179140.5
2019-2.639435281570350.5

Source publication: Labour Force Survey Q2 2020

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 for the three-year percentage point change of the long-term unemployment rate is 0.5%. Ireland’s long-term unemployment rate increased from 2010 to 2013 at rates far above the 0.5% threshold. However, since 2014, long-term unemployment as a three-year percentage point change has shown a decrease every year.

Supplementary analysis:

15-24 years25-44 years45 years and over Total
201028.67563.67529.525121.875
201128.02588.32538.35154.675
201217.2567.7537.525122.55
2013-7.82513.317.87523.35
2014-15.925-33.1251.775-47.275
2015-21.325-47.775-13.4-82.425
2016-13.825-46.375-19.475-79.675
2017-12.45-40.775-23.35-76.6
2018-11.075-36.975-23.275-71.4
2019-8.575-29.975-21.025-59.575
Table 2.10 Number of People Long-term Unemployed (by age group, 3 year change), 2010-2019

Figure 2.34 and Table 2.10 show that the majority of the increase in long-term unemployed numbers from 2010 to 2012 (measured as a three-year change) came from the 25-44 years category. This age category also made the largest contribution to the decline in the numbers unemployed from 2014 to 2019.

2019
Czechia0.6
Poland0.7
Denmark0.8
Estonia0.9
Sweden0.9
United Kingdom0.9
Netherlands1
Hungary1.1
Malta1.1
Austria1.1
Germany1.2
Finland1.2
Luxembourg1.3
Ireland1.58895812230783
Romania1.7
Lithuania1.9
Slovenia1.9
Cyprus2.1
Belgium2.3
Bulgaria2.4
Croatia2.4
Latvia2.4
Portugal2.8
France3.4
Slovakia3.4
Spain5.3
Italy5.6
Greece12.2

Source publication: Labour Force Survey Q2 2020

Get the data: StatBank QLF04 (Duration of Unemployment), Eurostat databaseStatbank QLF06 (Persons in Labour Force)

In 2019, Ireland had the 14th lowest long-term unemployment rate in the EU (Figure 2.35).

IrelandGermanyGreeceFranceNetherlandsSpainUnited Kingdom
20106.867509986684423.35.73.91.37.32.5
20118.727126032340122.88.83.91.68.92.7
20129.156512746729022.414.54.21.9112.7
20137.927392518891972.318.54.52.5132.7
20146.533854830310352.219.54.52.912.92.2
20155.30856223246445218.24.6311.41.6
20164.228393403878181.7174.62.59.51.3
20173.011267006802721.615.64.21.97.71.1
20182.080354067285311.413.63.81.46.41.1
20191.588958122307831.212.23.415.30.9

Source publication: Labour Force Survey Q2 2020

Get the data: StatBank QLF04 (Duration of Unemployment), Eurostat databaseStatbank QLF06 (Persons in Labour Force)

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.

Indicator 14: Youth Unemployment

Youth Unemployment Rate (3 year p.p change) MIP Threshold
201018.97720569288762
201116.12336226579232
20126.299502791982052
2013-1.405811736129772
2014-6.171260666963262
2015-10.57194086841452
2016-9.932578649711892
2017-9.0166935803872
2018-6.472707808887252
2019-4.318267595563782

Source publication: Labour Force Survey Q2 2020

Get the data: StatBank QLF18 (ILO Participation, Employment and Unemployment Characteristics by Age Group)

The youth unemployment rate is the unemployment rate of people aged 15-24 as a percentage of the labour force of the same age. This indicator is expressed as a three-year change in percentage points. The MIP threshold for youth unemployment is a 2 percentage point increase over three years. Ireland’s youth unemployment increased at a rate exceeding this threshold between 2010 and 2012, with the highest increase of 19% seen in 2010. Substantial reduction in youth unemployment can be seen since 2013.

Supplementary analysis:

Unemployed Persons Aged 15-19 yrsUnemployed Persons Aged 20-24 yrs
20109.740.5
20114.7524.325
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
2018-1.825-14.175
2019-2.1-10.425

Get the data: StatBank QLF18

Classifying the change in youth unemployment by age, Figure 2.38 shows that the change in youth unemployment is mainly driven by those aged from 20 to 24.

Youth Unemployment Rate
Czechia5.6
Germany5.8
Netherlands6.7
Slovenia8.1
Austria8.5
Bulgaria8.9
Malta9.2
Poland9.9
Denmark10.1
Estonia11.1
United Kingdom11.2
Hungary11.4
Lithuania11.9
Latvia12.4
Ireland12.5
Belgium14.2
Slovakia16.1
Croatia16.6
Cyprus16.6
Romania16.8
Luxembourg17
Finland17.2
Portugal18.3
France19.6
Sweden20.1
Italy29.2
Spain32.5
Greece35.2

Get the data: Eurostat database

Figure 2.39 shows Ireland’s youth unemployment rate compared to its EU neighbours for 2019. Ireland's youth unemployment rate sits mid-table, 14th highest, in 2019.

IrelandGermanyGreeceNetherlandsSpainUnited Kingdom
201028.19.83311.141.519.9
201129.68.544.71046.221.3
201230.8855.311.752.921.2
201326.77.858.313.255.520.7
201423.47.752.412.753.217
201520.27.249.811.348.314.6
201616.87.147.310.844.413
201714.46.843.68.938.612.1
201813.86.239.97.234.311.3
201912.55.835.26.732.511.2

Get the data: Eurostat database

Figure 2.40 shows the youth unemployment rate for the period 2010-2019. This is the number of 15-24 year olds unemployed expressed as percentage of the labour force (also known as active population) of the same age. Compared to the Netherlands and Germany, Ireland’s youth unemployment rate has been relatively high since 2010, but remains significantly lower than that of Spain and Greece.

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