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Poverty and purchasing power: Where most poor Germans live

2019-08-27T16:46:33.591Z


The incomes in East and West Germany diverge, but the cost of living as well. So who is really poor - measured by his place of residence? A study gives answers.



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In the west is well earned, in the east, the salaries are mau. This is true, 30 years after the fall of the wall, as certainty - exceptions confirm the rule.

But is that true? And what does it specifically mean for the everyday lives of people? After all, the former GDR and the old FRG also differ in terms of consumer prices, the cost of living and rents.

How does that affect? Are salary differences compensated, at least alleviated? Or, conversely, aggravated?

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In a new study, which is available to SPIEGEL, the Institute of German Business (IW) in Cologne answers. The short form: The purchasing power of the middle income is not so far apart in both parts of the country, as some might think. Namely, only 104 euros per month: While the purchasing power in the East is 1538 euros, it is 1642 euros in the West. The concept of purchasing power takes into account how much you can actually afford for the earned euro.

In the IW study, this scale is applied regionally. (And not, as usual, nationally: a value for the whole republic.) After all, it's all about the differences between the regions. In fact, the differences are larger with 121 euros between urban and rural dwellers than between East and West citizens.

In the city you are poor with more money

The IW comes to these figures by comparing the price level and the wage level for relatively small regions. Using an example, the IW researchers explain why this is important. "In Munich, the price level is 23 percent above the national average," they write. This results in a higher threshold for Munichers, from which it is socio-scientifically described that an employee is at risk of poverty. If one assumes the nationwide scale, Munich are poor with an income of less than 969 euros per month (relatively low income). Including the regional price level, they are up to an income of 1201 euros (relatively low purchasing power).

If one counts now how many people fall under this threshold, one knows, how many people in their region are poor, thus - in the example of Munich to stay - less than 1201 euro to earn.

The usual poverty rate usually crops up in the political discussion: It indicates how many people earn less than 60 percent of the nationwide median income - they are considered poor. That's ten percent in Munich (who earn less than 969 euros). The poverty rate according to purchasing power (with the Munich threshold of 1201 euros) is significantly higher: 18.3 percent.

The map shows that there is sometimes a different distribution than you are used to. Munich is at a comparable level as several regions in Mecklenburg-Vorpommern. This means that there is a similar proportion of people who often can not afford the bare minimum at their place of residence.

Purchasing power and poverty in German regions

Touch the card for details.

Note: When you tap the map, you see, among other things, which statistic region ("adjustment layer") is assigned to the particular district or city. Hamburg and Berlin are each divided into several such regions, but are shown summarized on the map. Deviating from this, the highest poverty rate is based on purchasing power in the districts of Berlin Neukölln (32.1%), Hamburg Mitte (30.7%), Berlin Mitte (Tiergarten, Wedding) / Friedrichshain-Kreuzberg / Charlottenburg-Wilmersdorf / Spandau (29.7 %) and Berlin Spandau (27.4%). The lowest purchasing power lies in Berlin Neukölln (1187 euros), as well as the highest common poverty rate (30.6%).

Perhaps surprising for some: The regions with the highest poverty rate according to purchasing power are all located in the west:

  • Bremerhaven,
  • Cologne,
  • Nuremberg,
  • Gelsenkirchen,
  • Bonn,
  • Frankfurt am Main,
  • the region Offenbach / Darmstadt / Wiesbaden,
  • Wuppertal,
  • Dortmund,
  • the region Herne / Bochum.

Unsurprisingly, none of the regions with a particularly low poverty rate are in the East.

In the following table you can find out the values ​​for your region - and several poverty indicators at once. Just type in the name of your county or county in the search box, then see which region was included in the study and you can see the poverty rate by purchasing power, the conventional poverty rate by income, purchasing power and price level. The price level of the entire Federal Republic is set here to 100, 123 means that a regional price level is 23 percent higher, 94 means that it is six percent lower.

Purchasing power and poverty in German regions

region Poverty rate according to purchasing power purchasing power Common poverty rate Prices
LK Pinneberg, LK Segeberg 12.9 1658 11 104.2
LK Stormarn, LK Duchy of Lauenburg, KS Lübeck 13.2 1707 12 102.9
KS Kiel, Kreis Ostholstein, Kreis Plön 19.1 1642 18.8 100.1
LK Neumünster, Kreis Steinburg, LK Rendsburg-Eckernförde 15.9 1643 17.1 96.8
KS Flensburg, Kreis Schleswig-Flensburg, Kreis Nordfriesland, Kreis Dithmarschen 15.8 1599 17.5 96.2
Hamburg center 30.7 1307 23.2 109
Hamburg Altona 22.3 1579 19.4 109
Hamburg Eimsbüttel 13.4 1817 9.7 109
Hamburg-Nord 14.7 1842 11 109
Hamburg Wandsbek 16.9 1582 12.5 109
Hamburg Bergedorf, Harburg 20 1510 15.3 109
LK Wolfsburg, LK Gifhorn, LK Helmstedt, LK Wolfenbüttel, KS Braunschweig, KS Salzgitter, LK Peine 13.5 1730 14.4 96.6
LK Goslar, LK Göttingen, LK Northeim 21.1 1567 22.9 95.2
Region Hannover 22.7 1568 22 100.7
Region Hannover 16 1676 15.4 100.7
LK Hameln-Pyrmont, LK Holzminden, LK Hildesheim 14.9 1631 17.2 94.5
LK Diepholz, LK Nienburg (Weser), LK Schaumburg 15.4 1676 17.7 94.5
LK Cuxhaven, LK Stade, LK Harburg, LK Osterholz, LK Rotenburg (Wümme) 12.1 1750 12.6 98.2
LK Lüneburg, LK Lüchow-Dannenberg, LK Uelzen, LK Celle, LK Heidekreis, LK Verden 14.2 1638 15.5 96.2
LK Emden, LK Leer, LK Aurich, KS Wilhelmshaven, LK Friesland, LK Wittmund, LK Wesermarsch 15.5 1605 18.9 92.8
LK Ammerland, LK Cloppenburg, KS Delmenhorst, KS Oldenburg, LK Oldenburg 13 1649 15.3 95
LK Osnabrück, LK Osnabrück, LK Vechta, LK Emsland, LK Grafschaft Bentheim 13.8 1635 16.4 93.7
KS Bremen 22 1524 20.9 101.6
KS Bremerhaven 27.3 1294 30.5 94.6
LK Kleve, KS Krefeld 16.8 1589 16.8 99.5
LK Wesel 13.3 1655 13.6 98.9
KS Duisburg 22.2 1428 22.8 98.3
KS Mülheim An der Ruhr, KS Oberhausen 22.5 1506 22.7 98.9
KS food 22.2 1549 21.2 101.2
LK Viersen, KS Mönchengladbach 16.2 1628 15.8 100
LK Rhein-Kreis Neuss 15.3 1660 12.7 104.9
KS Dusseldorf 22.1 1610 16.6 110.5
LK Mettmann 15.9 1623 13.3 105.3
KS Wuppertal 23.9 1475 23.6 100
KS Remscheid, KS Solingen 18.2 1499 17.7 100.4
LK Aachen, LK Aachen 21.1 1536 20.4 100.6
LK Düren, LK Heinsberg 13.3 1634 14.3 97.2
LK Rhein-Erft-Kreis, LK Euskirchen 16.1 1640 15.1 101.9
KS Cologne 25.9 1483 20 110.6
LK Leverkusen, LK Rheinisch-Bergischer-Kreis, LK Oberbergischer Kreis 16 1668 14.9 101.8
KS Bonn 24.9 1551 20.4 107.9
LK Rhein-Sieg-Kreis 13.4 1743 12.3 102
LK Borken, LK Steinfurt 12.7 1656 14.2 95.8
LK Coesfeld, LK Warendorf, KS Munster 16.1 1646 16 99.4
LK Bottrop, LK Recklinghausen 18.9 1499 19.1 99
KS Gelsenkirchen 25.6 1341 27.3 96.7
KS Bielefeld 20.9 1510 20.8 99.6
LK Gütersloh, LK Herford 11.8 1635 12.7 96.9
LK Minden-Lübbecke, LK Lippe 16.1 1603 17.7 95.9
LK Höxter, LK Paderborn 14.1 1628 16.3 95.1
KS Herne, KS Bochum 23.5 1458 23.4 99.5
KS Dortmund 23.8 1466 24.2 98.5
Hamm, LK Unna 18.7 1509 19.9 97.3
LK Soest, LK Hochsauerlandkreis 13.7 1678 16 94.8
LK Ennepe-Ruhr district, KS Hagen 21.1 1526 21.6 98.4
LK Märkischer Kreis 19.6 1541 20.3 97.9
LK Siegen-Wittgenstein, LK Olpe 13.5 1623 14.2 97.6
LK Hochtaunuskreis, LK Main-Taunus-Kreis, LK Rheingau-Taunus-Kreis 13.3 1820 10.3 109.3
LK Wetteraukreis, LK Main-Kinzig-Kreis 16.1 1630 14.8 102
KS Frankfurt Am Main 24.8 1493 16.6 115.7
LK Darmstadt-Dieburg, LK Bergstrasse, LK Odenwaldkreis 15.3 1609 13.9 102.3
KS Offenbach Am Main, KS Darmstadt, KS Wiesbaden 24.5 1464 19 108.7
LK Groß-Gerau, LK Offenbach 15.7 1620 12.7 106.5
LK Giessen, LK Marburg-Biedenkopf 18.4 1638 19.1 97.9
LK Lahn-Dill-Kreis, LK Limburg-Weilburg, LK Vogelsbergkreis 11.9 1688 14.2 94.7
LK Kassel, LK Kassel, LK Waldeck-Frankenberg 13.2 1699 15.9 93.1
LK Fulda, LK Hersfeld-Rotenburg, LK Schwalm-Eder-Kreis, LK Werra-Meißner-Kreis 13.9 1619 15.6 95.7
LK Altenkirchen (Westerwald), LK Neuwied, LK Westerwaldkreis, LK Rhein-Lahn-Kreis, LK Mayen-Koblenz, KS LKblenz, LK Ahrweiler, LK Cochem-Zell, LK Rhein-Hunsrück-Kr 13 1716 14.5 95.7
LK Bitburg-Prüm, LK Vulkaneifel, LK Bernkastel-Wittlich, LK Trier-Saarburg, KS Trier 14.3 1746 14.9 97.8
LK Bad Kreuznach, LK Birkenfeld, LK Mainz-Bingen, KS Mainz, KS Worms, LK Alzey-Worms 16.7 1706 15.9 101.4
LK Rhein-Pfalz-Kreis, KS Ludwigshafen Am Rhein, LK Bad Dürkheim, KS Frankenthal, KS Speyer, SK Neustadt, KS LKndau In Der Pfalz, LK Southern Wine Route, LK Germersheim 15.6 1636 15.5 99.7
LK Donnersbergkreis, LK Kaiserslautern, KS Kaiserslautern, KS Zweibrücken, LK Kusel, KS Pirmasens, LK Südwestpfalz 16.2 1672 17.7 95.5
SK Stuttgart 19.1 1615 13.8 112.1
LK Böblingen, LK Esslingen, LK Göppingen, LK Ludwigsburg, LK Rems-Murr-Kreis 12.1 1738 9.6 106.3
LK Heilbronn, LK Heilbronn, LK Hohenlohe district, LK Schwäbisch Hall, LK Main-Tauber-Kreis 12.5 1736 12.6 99.1
LK Heidenheim, LK Ostalbkreis 11.4 1747 11.6 98.9
LK Karlsruhe, LK Karlsruhe, SK Baden-Baden, LK Rastatt 14.2 1724 12.9 102.7
Heidelberg, Mannheim, LK Rhein-Neckar-Kreis, LK Neckar-Odenwald-Kreis 15.3 1694 13.6 103.6
LK Pforzheim, LK Enzkreis, LK Calw, LK Freudenstadt 12.1 1699 11.8 100.1
LK Freiburg Im Breisgau, LK Breisgau-Hochschwarzwald, LK Emmendingen, LK Ortenau 13.4 1649 12.4 102.3
LK Rottweil, LK Schwarzwald-Baar-Kreis, LK Tuttlingen 12.8 1684 13.1 98.6
LK Konstanz, LK Lörrach, LK Waldshut 13.4 1763 12 103.5
LK Reutlingen, LK Tübingen, LK Zollernalbkreis 13.9 1639 12.4 103.6
LK Ulm, LK Alb-Donau-Kreis, LK Biberach 12.1 1741 11.5 100.9
LK Lake Constance circle, LK Sigmaringen, LK Ravensburg 11.2 1745 10.5 101.4
LK Ingolstadt, LK Eichstätt, LK Neuburg-Schrobenhausen, LK Pfaffenhofen An Der Ilm 9.6 1809 9.4 100.2
LK Dachau, LK Fürstenfeldbruck, LK Landsberg Am Lech, LK Munich, LK Starnberg, LK Ebersberg, LK Erding, LK Freising 10.8 1810 7.4 112.6
KS Munich 18.3 1622 10 123.2
LK Bad Tölz Wolfratshausen, LK Garmisch -Partenkirchen, LK Miesbach, LK Weilheim-Schongau 13.4 1630 10.5 107.1
LK Rosenheim, LK Rosenheim, LK Mühldorf Am Inn, LK Altötting, LK Berchtesgadener Land, LK Traunstein 10.9 1727 10.8 99.8
LK Landshut, LK Landshut, LK Kelheim, LK Rottal-Inn, LK Dingolfing-Landau 11.4 1735 12.5 96.7
LK Straubing, LK Straubing-Bogen, LK Deggendorf, LK Regen, KS Passau, LK Passau, LK Freyung-Grafenau 14.2 1691 16.4 93.9
LK Weiden in Upper Palatinate, LK Neustadt An der Waldnaab, LK Tirschenreuth, KS Amberg, LK Amberg -Sulzbach, LK Schwandorf 10.4 1741 13.1 92.9
LK Cham, LK Neumarkt In Upper Palatinate, KS Regensburg, LK Regensburg 13.8 1712 13.5 100.4
LK Coburg, LK Coburg, LK Kronach, LK Lichtenfels, KS Bamberg, LK Bamberg, LK Forchheim 12 1701 13.4 95.8
LK Hof, LK Hof, LK Kulmbach, KS Bayreuth, LK Bayreuth, LK Wunsiedel Im Fichtelgebirge 13.9 1639 16 94
LK Ansbach, LK Ansbach, LK Neustadt An der Aisch-Bad Windsheim, LK Weissenburg-Gunzenhausen 9.3 1806 11.1 94.6
Erlangen-Höchstadt, LK Fürth, LK Nürnberger Land, LK Roth 8.5 1867 8.6 99.2
KS Erlangen, KS Fürth, KS Schwabach 17.2 1678 16 102.9
KS Nuremberg 25.6 1462 23.3 103.3
LK Aschaffenburg, LK Aschaffenburg, LK Miltenberg 11.9 1697 12.2 98.7
LK Main-Spessart, KS Würzburg, LK Würzburg, LK Kitzingen 13 1744 13.6 97.6
LK Schweinfurt, LK Schweinfurt, LK Bad Kissingen, LK Rhön-Grabfeld, LK Haßberge 10.5 1706 12.7 94.2
LK Dillingen on the Danube, LK Donau-Ries, LK Aichach Friedberg, LK Augsburg 9.4 1735 9.9 98.3
KS Augsburg 16.7 1589 15.6 102.2
LK Memmingen, LK Lower Allgäu, LK Günzburg, LK Neu-Ulm 12.8 1653 13.5 97.8
LK Kaufbeuren, LK Ostallgäu, KS Kempten (Allgäu), LK Oberallgäu, LK Lindau (Lake Constance) 12.8 1617 13 99
LK Merzig-Wadern, LK Saarlouis, Rv Saarbruecken, LK Sankt Wendel, LK Neunkirchen, LK Saarpfalz-Kreis 15.6 1664 17.1 95.9
Berlin Mitte district (Tiergarten, Wedding), Friedrichshain-Kreuzberg, Charlottenburg-Wilmersdorf, in the district of Spandau 29.7 1298 28.4 101.1
Berlin Friedrichshain-Kreuzberg 24.2 1472 23 101.1
Berlin Pankow 8.6 1750 8th 101.1
Berlin Charlottenburg-Wilmersdorf 19 1674 18 101.1
Berlin Spandau 27.4 1380 26.3 101.1
Berlin Steglitz-Zehlendorf 12.8 1865 12.1 101.1
Berlin Tempelhof-Schöneberg 21 1533 19.9 101.1
Berlin Neukölln 32.1 1187 30.6 101.1
Berlin Treptow-Koepenick 13.2 1616 12.5 101.1
Berlin Marzahn-Hellersdorf 20.9 1443 19.8 101.1
Berlin Lichtenberg 18.4 1473 17.3 101.1
Berlin Reinickendorf 18.5 1544 17.7 101.1
LK Prignitz, LK Ostprignitz-Ruppin, LK Oberhavel 13.4 1576 16.5 93.8
LK Barnim, LK Uckermark 13.6 1626 16 94.1
LK Märkisch-Oderland, LK Oder-Spree, KS Frankfurt An Der Oder 12.8 1666 15.3 93.4
LK Havelland, KS Brandenburg An Der Havel, KS Potsdam, LK Potsdam-Mittelmark, LK Teltow-Fläming 12 1705 13.3 96.1
LK Dahme-Spreewald, KS Cottbus, LK Spree-Neisse, LK Oberspreewald-Lusatia, LK Elbe-Elster 14.8 1561 18.2 93.1
LK Schwerin, LK Nordwestmecklenburg, LK Ludwigslust-Parchim 14.6 1561 16.5 95.3
LK Rostock, LK Rostock 20.6 1416 20.7 99
LK Mecklenburg Lake District 19 1423 22.8 94
LK Vorpommern-Rügen, LK Vorpommern-Greifswald 21.3 1414 22.9 96.7
LK Chemnitz, LK Mittelsachsen 14.2 1528 17.6 93.1
LK Vogtlandkreis, LK Erzgebirgskreis, LK Zwickau 12.6 1552 16.3 92.1
KS Dresden 17.1 1588 17.7 97.8
LK Bautzen, LK Görlitz 14.2 1538 18 92.3
LK Saxon Switzerland Eastern Ore Mountains, LK Meissen 12.6 1528 14.8 94.8
KS Leipzig 20.7 1502 22.4 95.5
LK Leipzig, LK North Saxony 14.5 1555 17.4 93.4
LK Dessau-Roßlau, LK Anhalt-Bitterfeld, LK Wittenberg 18.7 1496 21.9 93.1
LK Halle (Saale), LK Burgenlandkreis, LK Saalekreis 19.3 1470 22.6 94.2
LK Altmarkkreis Salzwedel, LK Stendal 21.8 1464 26.7 91.5
LK Magdeburg, LK Börde, LK Jerichower Land, LK Salzlandkreis 16.4 1547 19.8 92.9
LK Harz, LK Mansfeld-Südharz 15.1 1508 18.6 92.5
LK Eichsfeld, LK Nordhausen, LK Unstrut Hainich circle, LK Kyffhäuserkreis 14.7 1533 19.3 91.8
LK Erfurt, KS Weimar, LK Gotha, LK Sömmerda, LK Ilm-Kreis, LK Weimarer Land 14.8 1559 17.2 94.6
LK Gera, KS Jena, LK Saalfeld-Rudolstadt, LK Saale-Holzland-Kreis, LK Saale-Orla-Kreis, LK Greiz, LK Altenburger Land 15.8 1507 17.9 94.7
LK Suhl, KS Eisenach, LK Wartburg circle, LK Schmalkalden-Meiningen, LK Hildburghausen, LK Sonneberg 11.4 1580 14.5 93.1

Source: Forschungsdatenzentrum (Microdata Microcensus 2016), BBSR, Institute of German Business
Prices: D = 100; KS = district-free city, SK = city district, LK = district

The cutting of the regions follows here the so-called adaptation layers. This concept has been established by the Federal Institute for Building, Urban and Spatial Research (BBSR) in order to find statistically meaningful differences in price levels. The adjustment layers vary in population between 100,000 and 500,000; large cities may be single districts, while in rural areas several districts may be considered together.

How meaningful are these data - after all, a study commissioned by the employer-friendly IW on behalf of the industry-friendly initiative New Social Market Economy (INSM)? The cutting of the regions, however complicated it may seem, is considered a statistically quite meaningful concept. It could be more problematic which goods were used in the calculation of price levels: For a price comparison that is relevant for low-income households, above all, goods that belong to the minimum standard of living would have to be used. Here, however, worked with nationwide average prices. This could reduce the poverty effect in the data here and there.

On the other hand, housing costs are a major part of the expenditure, especially the rent. And that could have been exacerbating in the more than two years that have passed since the data was collected.

However, the study authors themselves assume that West and East could have come closer since then. After all, wages continued to rise, much more than prices.

Source: spiegel

All business articles on 2019-08-27

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