Written answers

Tuesday, 11 July 2017

Department of An Taoiseach

Unemployment Data

Photo of Niall CollinsNiall Collins (Limerick County, Fianna Fail)
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74. To ask the Taoiseach the unemployment blackspots nationwide according to the latest unemployment data in the Census 2016 Summary Results - Part 2, by county, in tabular form. [32012/17]

Photo of Joe McHughJoe McHugh (Donegal, Fine Gael)
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The Census of Population 2016 Summary Results – Part 2 published on 15 June, 2017 recorded 79 unemployment blackspots. In this report an unemployment blackspot was defined as an Electoral Division whose labour force exceeded 200 persons and where the unemployment rate (on a Principal Economic Status basis) exceeded 27 per cent. There were 79 such EDs in 2016 with an average unemployment rate of 31.2 per cent compared with 12.9 per cent nationally. The following table is published in the report.

List of unemployment blackspots

CountyElectoral DivisionUnemployment rate
John's A, Limerick City58.3%
Galvone B, Limerick City45.0%
Ballynanty, Limerick City43.6%
Abbey C, Limerick City41.9%
Prospect B, Limerick City40.7%
Glentworth C, Limerick City40.2%
St. Laurence, Limerick City39.2%
Killeely A, Limerick City38.8%
Rathbane, Limerick City33.8%
Glentworth A, Limerick City33.7%
Singland A, Limerick City33.6%
Prospect A, Limerick City33.1%
John's B, Limerick City31.4%
Killeely B, Limerick City31.1%
Rathkeale Urban, Limerick31.1%
Dock A, Limerick City30.7%
Shannon B, Limerick City27.5%
LimerickCustom House, Limerick City27.3%
Priorswood B, Dublin City36.2%
Tallaght-Killinardan, South Dublin32.9%
Clondalkin-Cappaghmore, South Dublin32.2%
Ballymun D, Dublin City32.1%
Ballymun B, Dublin City31.8%
Kilmore C, Dublin City29.9%
Finglas North A, Dublin City28.9%
Finglas South C, Dublin City28.7%
Blanchardstown-Tyrrelstown, Fingal28.1%
Tallaght-Fettercairn, South Dublin28.0%
Ballymun C, Dublin City28.0%
DublinClondalkin-Rowlagh, South Dublin27.2%
Larchville, Waterford City37.6%
Morrisson's Road, Waterford32.6%
Newport's Square, Waterford City32.3%
Lisduggan, Waterford City31.5%
Ballybeg North, Waterford City30.9%
The Glen, Waterford City30.9%
Roanmore, Waterford City30.8%
Mount Sion, Waterford City30.0%
WaterfordKingsmeadow, Waterford29.3%
Mín an Chladaigh, Donegal35.3%
Clonleigh South, Donegal30.9%
Gort an Choirce, Donegal30.4%
Raphoe, Donegal29.2%
Letterkenny Urban, Donegal27.4%
DonegalLeitir Mhic an Bhaird, Donegal27.1%
Knocknaheeny, Cork City33.5%
Mayfield, Cork City33.2%
The Glen A, Cork City33.1%
Fair Hill B, Cork City29.7%
CorkFarranferris B, Cork City28.6%
Ardnaree South Urban, Mayo31.4%
An Geata Mór Theas, Mayo29.9%
Cnoc na Lobhar, Mayo29.6%
Ballina Urban, Mayo27.7%
MayoCnoc na Ráithe, Mayo27.0%
Kilrush Urban, Clare29.7%
Ennis No. 2 Urban, Clare29.1%
ClareKilkee, Clare28.1%
Longford No. 1 Urban, Longford39.7%
Meathas Truim, Longford27.7%
LongfordLongford Rural, Longford27.4%
Enniscorthy Urban, Wexford32.1%
Rosbercon Urban, Wexford30.8%
WexfordKillincooly, Wexford27.2%
Cavan Urban, Cavan35.8%
CavanBelturbet Urban, Cavan33.5%
Scainimh, Galway34.3%
GalwayGarmna, Galway County31.8%
Tipperary East Urban, South Tipperary34.0%
TipperaryCarrick-on-Suir Urban, Tipperary29.2%
KerryTralee Urban, Kerry27.2%
KildareAthy West Urban, Kildare35.0%
KilkennyUrlingford, Kilkenny27.5%
LouthDundalk Urban No. 2, Louth28.0%
MeathCeannanus Mór (Kells) Urban, Meath29.7%
MonaghanCastleblayney Urban, Monaghan27.7%
RoscommonBoyle Urban, Roscommon27.1%
WestmeathMullingar North Urban, Westmeath33.4%
WicklowRathmichael (Bray), Wicklow27.2%

Note:

The Quarterly National Household Survey (QNHS) is the official source of employment and unemployment statistics for the State. In the QNHS, the International Labour Organisation (ILO) classification is used and defines employment, unemployment and the inactive population. Unemployment is defined as persons who, in the week before the survey, were without work and available for work within the next two weeks, and had taken specific steps, in the preceding four weeks, to find work.

The Census uses the Principal Economic Status (PES) classification to establish the labour force situation of the respondent. The PES classification is based on how respondents would describe their present principal status including a status of being unemployed.

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