PES Germany: Benchmarking As a Basis for Planning, Performance Management and Personal Evaluation Regional Disparities: Taking Into Account

Home , Bernburg (district), Pirmasens, Rheine, Sangerhausen (district), Verden (district)

Governance and Performance Management of Public Employment Services in the United States and the European Union, 3 - 4 September 2015

Steffen Sottung, Head of Controlling Unemployment Insurance, 4 September 2015

PES Germany: Benchmarking as a Basis for Planning, Performance Management and Personal Evaluation Regional Disparities: Taking into Account

Flensburg Labor Market Environment

Kiel Stralsund Neumünster Lübeck Greifswald Heide Rostock Classification of employment office districts in Germany Elmshorn

Bad Oldesloe Neubrandenburg Schwerin Hamburg Predominantly metropolitan districts with favourable Emden/Leer Stade Type I (5): metropolitan with favorable labor market Oldenburg/ labour market conditions Wilhelmshaven Bremen/ Eberswalde Bremerhaven Lüneburg/Uelzen

1 Bochum Neuruppin Type IIa (6): 2 Dortmund Metropolitanmetropolitan districts with with above above average average unemployment unemployment rates 3 Duisburg Vechta Celle Nienburg/ 4 Düsseldorf Stendal Verden 5 Essen Nordhorn Berlin 6 Gelsenkirchen Frankfurt (Oder) Helmstedt Type IIb (11): Metropolitan districts with very high unemployment rates 7 Mettmann Hannover metropolitan with high unemployment 8 Oberhausen Herford 9 Solingen/Wuppertal Osnabrück Magdeburg Potsdam Rheine Braunschweig/ Urbanisedurbanizeddistricts with withslightly slightly above above averageaverage Hildesheim Goslar Type IIc (8): Coesfeld Bielefeld Ahlen/ Detmold unemployment rates Hameln Dessau-Roßlau/ Cottbus Bernburg Münster Wittenberg unemployment Reckling- Halberstadt Wesel hausen Hamm Paderborn Districts with conurbational features with below average 6 Göttingen 6 2 Type IIIa (25): 1 Sangerhausen Oschatz 3 8 5 unemploymenturbanized withrates below average unemployment Hagen Meschede/Soest Nordhausen Halle Krefeld Leipzig Bautzen Riesa 4 7 Mönchen- 9 Iserlohn Kassel Weißenfels Dresden glbch. Gotha Type IIIb (14): Predominantlyrural with average rural districts unemployment with average unemployment rates Bergisch Glbch. Korbach Freiberg Pirna Köln Siegen Erfurt Aachen/ Chemnitz Marburg Jena urbanized with a large manufacturing sector Düren Bonn Zwickau Districts with conurbational features with a large manufacturing Altenburg/ Annaberg- Type IVa (21): Buchholz Suhl Gera sectorand favorableand favourablelabor labourmarket market conditions Brühl Neuwied Limburg/ Bad Hers- Gießen Wetzlar feld/Fulda Plauen Koblenz/Mayen Predominantlyrural with favorable rural districtslabor withmarket favourable labour market Montabaur Bad Hom- National border burg Type IVb (22): Hanau Bamberg/ conditions and strong seasonal dynamics Frankfurt Schweinfurt State border and strong seasonal dynamics Wiesbaden Coburg Bayreuth/Hof Trier Offenbach District border Aschaf- Bad Kreuznach Rural districts with very strong seasonal dynamics Mainz fenburg Würzburg Type IVc (7): rural with very strong seasonal dynamics Darmstadt Weiden and low unemployment rates

Fürth and low unemployment Kaiserslautern/ Mannheim Schwäbisch Hall/ Nürnberg 100 km Pirmasens Saarland Ludwigshf. Tauberbischofsheim Type Va (7): Predominantly metropolitan districts with Heidelberg Schwandorf metropolitan with high unemployment Landau high unemployment rates Karlsruhe/Heilbronn Ansbach/Weißenburg Rastatt Regensburg Ludwigs- Deggendorf burg Type Vb (11): Predominantlyrural with highrural districtsunemployment with high unemployment rates Waiblingen Aalen Donau- Ingolstadt Passau Stuttgart Göppingen wörth Nagold/ Pforzheim Landshut/Pfarrkirchen Reutlingen Type Vc (17): Ruralrural districts with severewith very severelabor labourmarketmarket conditions conditions Augsburg Offenburg Freising Ulm Rottweil/ Balingen München Villingen- Freiburg Schwenningen ( ) Number of districts in each type Kempten/ Weilheim Traunstein Konstanz/ Rosenheim Memmingen Lörrach Ravensburg Source: StatisticsIAB, Institute department for Labor of theMarket Federal ResearchEmployment Agency

EU-US Exchange, 4 September© 2015,IAB 2013 © Bundesagentur für Arbeit page 2 Identifying Potential for Improvement unemployment duration different labour market environments (in days, measured in June 2014)

Average: 142.4

Passau Essen Germany 102.4 180.3 Nürnberg Stuttgart Type I 131.4 151.1 Hamburg Düsseldorf Type IIa 140.5 166.1 Berlin Mitte Essen Type IIb 138.4 180.3 Aachen-Düren Hagen Type IIc 157.3 179.5 Freiburg Offenbach Type IIIa 139.7 180.0 Emden-Leer Göttingen Type IIIb 126.7 153.6 Fürth Aalen Type IVa 129.5 157.0 Kempten--Memmingen Aschaffenburg Type IVb 113.8 140.1 Passau Weiden Type IVc 102.4 121.7 Leipzig Halle Type Va 128.1 148.1 Freiberg Annaberg-Buchholz Type Vb 129.1 142.9 Stralsund Bernburg Type Vc 125.4 158.5

Percentage of unemployment prevention

Percentage of integrations

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