Press Releases

Germans’ 2017 purchasing power to climb 1.7 percent

Press Releases

Germans’ 2017 purchasing power to climb 1.7 percent



Germans’ 2017 per-capita purchasing power will increase nominally by 1.7 percent to €22,239. The country’s 25 most populous districts alone comprise one-fourth of Germany’s total purchasing power. These are some of the findings of the 2017 GfK purchasing power study released today.

GfK forecasts a total purchasing power of €1,827.5 billion for Germany in the coming year, which corresponds to a 2.9 percent nominal increase over the previous year. This equates to an average per-capita purchasing power of €22,239 that Germans have available in 2017 for spending on consumer purchases, accommodation, recreation and saving.

Purchasing power is a measure of the population’s disposable net income, including government subsidies such as pension payments, unemployment assistance and child benefit. Rising wages in many industries and the positive development on the employment market will lead to higher incomes, which has a beneficial effect on purchasing power levels. On the other hand, Germany’s population grew by 1.2 percent from 2015 to 2016. This explains why Germany’s overall purchasing power is increasing by a substantial 2.9 percent, while the per-capita purchasing power is growing only moderately by +1.7 percent. The real-value amount that remains from this nominal increase depends on how consumer prices develop in 2017.

Regional distribution of purchasing power

The list of Germany’s top ten districts is mostly unchanged from last year. As in previous years, the rural district of Starnberg remains Germany’s district with the highest per-capita purchasing power. With €32,194 per person, inhabitants of Starnberg have around 45 percent more purchasing power than the national average. The urban district of Munich overtakes Main-Taunus-Kreis to assume fourth place. With €17,496 per person, the rural district of Görlitz continues to be in last place among Germany’s 402 districts. The rural district of Ahrweiler represents the national average.

2017 ranking

urban district (UD) /
     rural district (RD)

inhabitants

GfK Purchasing
Power 2017 per
inhabitant in €

purchasing
power index*

1

Starnberg RD

 133,621

32,194

 144.8

2

Hochtaunuskreis RD

 233,427

31,561

 141.9

3

Munich RD

 340,003

30,907

 139.0

4

Munich UD

 1,450,381

30,136

 135.5

5

Main-Taunus-Kreis RD

 232,848

29,931

 134.6

6

Ebersberg RD

 137,421

29,512

 132.7

7

Fürstenfeldbruck RD

 213,481

27,868

 125.3

8

Erlangen UD

 108,336

27,356

 123.0

9

Dachau RD

 149,370

27,291

 122.7

10

Stormarn RD

 239,614

26,675

 119.9

source: GfK Purchasing Power Germany 2017                     
* index per inhabitant; 100 = national average

Comparison of purchasing power volumes

For retail, it is relevant to know not just the average per-capita consumer potential, but also where purchasing power is most geographically concentrated. Among Germany’s 402 districts, the 25 most populous counties alone comprise one-fourth of the nation’s total purchasing power.

The purchasing power volume of a district is of course closely related to its number of inhabitants. Even so, the urban district of Munich outranks the more populous urban district of Hamburg in terms of total purchasing power thanks to its above-average per-capita purchasing power. However, with the exception of Munich, none of Germany’s most populous districts reaches the per-capita values of the top ten districts. Together, the 25 most populous districts have a per-capita purchasing power only around 4.6 percent above the national average.

Many of the urban districts that are among the 25 most populous districts and have very high purchasing power volumes feature below-average per-capita purchasing power. These large urban districts are home to many inhabitants with significantly lower purchasing power, such as students in university cities. For example, the urban district of Duisburg is one of the country’s 25 most populous districts, but its per-capita purchasing power is 15 percent below the national average. Bremen and other urban districts in the Ruhr region such as Dortmund and Essen as well as the city region of Aachen also have below-average purchasing power. The three most populous districts in eastern Germany – Berlin, Leipzig and Dresden – also have per-capita purchasing power levels that range from 8 to 13 percent below the national average. But thanks to their dense concentrations of purchasing power, these areas as well as the other populous districts offer attractive conditions for retail locations.

Purchasing power of Germany’s 25 most populous districts

population ranking

urban district (UD) / rural district (RD)

inhabitants (1.1.2016)

2017 purchasing power total in mil. €

2017 purchasing power index*

purchasing power index ranking

1

Berlin UD

3,520,031

71,773

91.7

286

2

Hamburg UD

1,787,408

43,488

109.4

53

3

Munich UD

1,450,381

43,708

135.5

4

4

Hannover Region RD

1,144,481

26,330

103.4

115

5

Cologne UD

1,060,582

25,498

108.1

71

6

Frankfurt am Main UD

732,688

18,707

114.8

27

7

Stuttgart UD

623,738

15,509

111.8

40

8

Recklinghausen RD

617,807

13,114

95.5

226

9

Düsseldorf UD

612,178

16,162

118.7

16

10

Rhine-Sieg-Kreis RD

596,213

14,371

108.4

66

11

Dortmund UD

586,181

12,041

92.4

272

12

Essen UD

582,624

12,722

98.2

177

13

Leipzig UD

560,472

10,826

86.9

336

14

Bremen UD

557,464

11,658

94.0

251

15

Aachen city region

553,922

11,528

93.6

256

16

Dresden UD

543,825

10,997

90.9

293

17

Rhine-Neckar-Kreis RD

541,859

13,260

110.0

49

18

Ludwigsburg RD

534,074

13,767

115.9

21

19

Esslingen RD

524,127

13,505

115.9

22

20

Nuremberg UD

509,975

11,796

104.0

107

21

Duisburg UD

491,231

9,277

84.9

351

22

Mettmann RD

483,279

12,173

113.3

35

23

Rhine-Erft-Kreis RD

466,657

11,265

108.5

63

24

Wesel RD

462,664

10,320

100.3

157

25

Rhine-Kreis Neuss RD

450,026

11,443

114.3

30

source: GfK Purchasing Power Germany 2017                     
* index per inhabitant; 100 = national average

About the study

GfK Purchasing Power is defined as the sum of the net income of the population, as measured at the place of residence. These purchasing power figures take into account income related to self- and non-self employment as well as capital gains and government subsidies, such as unemployment assistance, child benefit and pension contributions. Not included in these calculations are expenditures related to living expenses, insurance, rent and associated costs such as utilities (gas and/or electricity), clothing and savings plans.

As a result, a nominal increase in purchasing power does not mean that each individual has more actual money at his or her disposal if rising costs for the above-mentioned expenditures exceed the purchasing power increase. Also important to note is the fact that the purchasing power of a given region reflects an average value among the inhabitants living there rather than the purchasing power of specific individuals, households or the associated income distribution and gap between “rich” and “poor”.
Calculations are carried out on the basis of reported income and earnings, statistics relating to state benefits as well as forecasts provided by economic institutes. GfK releases the purchasing power prognosis for the new year in January. As of that time, the new GfK purchasing power data is available for all of Germany’s urban and rural districts, municipalities and postcodes. The purchasing power data for street segments is updated in the second half of the year. 

Applications of purchasing power

Regional GfK purchasing power data serves as an important planning basis for sales and marketing endeavors among companies from a diverse range of industries. These applications require an accurate illustration of the regional distribution of purchasing power. The focus of the GfK study is consequently not on tracking data trends over the years, but rather on providing a prognosis that reflects this regional distribution. It is therefore not advisable to compare current figures with data from previous years.

Additional information on GfK’s regional market data can be found at www.gfk.com/marketdata.
Print-quality illustrations can be found here.

About GfK

GfK is the trusted source of relevant market and consumer information that enables its clients to make smarter decisions. More than 13,000 market research experts combine their passion with GfK’s long-standing data science experience. This allows GfK to deliver vital global insights matched with local market intelligence from more than 100 countries. By using innovative technologies and data sciences, GfK turns big data into smart data, enabling its clients to improve their competitive edge and enrich consumers’ experiences and choices.

To find out more, visit  www.gfk.com
or follow GfK on Twitter: www.twitter.com/gfk.

Responsible under press legislation
GfK GeoMarketing GmbH
Public Relations
Cornelia Lichtner
Werner-von-Siemens-Str. 9
Gebäude 6508
76646 Bruchsal; Germany
T+49 7251 9295 270
cornelia.lichtner(at)gfk.com


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