Purchasing Power in 2026

Find the potential customers who are interested in your products.

Consumer barometer for market analysis

Once a year, we calculate the projected purchasing power for all of Germany. In its latest purchasing power analysis, Nexiga has determined that per capita purchasing power has risen to 31,650 EUR: that is approximately 1,650 EUR more than in the previous year.

 

In real terms, purchasing power looks different “in the pockets” of citizens due to the current crises and significantly higher prices. Persistent inflation directly affects the trend in purchasing power and plays a decisive role in determining the real value of money in the hands of consumers.

 

When inflation rises, purchasing power falls, as the same amount of money can buy fewer goods or services. As a result, Germans have experienced a decline in real wages since 2021. The official inflation rate in Germany for 2025 averaged about 2.2% for the year .

 

According to the data, consumer prices rose by 2.2 percent compared to the previous year. This means that inflation remained at a similar level from 2024 to 2025, indicating a certain degree of stabilization following the sharp fluctuations of previous years. In 2023, it stood at 5.9%, and in 2022, it was as high as 6.9%. (Source: Statista)

The calculation does not take into account individual expenses such as rent, utilities, insurance, or other living expenses. Purchasing power thus deliberately reflects the theoretically available demand in a region and serves as the basis for informed decisions regarding location, sales, and expansion.

Commitment to successful marketing

Map of Purchasing Power in Germany in 2026

Purchasing power as the key to making informed market decisions

Optimize your customer management and manage locations, advertising, and sales in a targeted and efficient manner. The projected purchasing power for 2026 across all of Germany provides a solid foundation for strategic decisions.

 

As a key indicator, it reveals where actual demand potential exists—and enables highly targeted planning of marketing and sales activities. Because it is available at the microgeographic level, target groups can be segmented even more precisely, and regional differences can be taken into account with great accuracy.

 

Reach your customers exactly where it really pays off for you.

Regional distribution of purchasing power

The current analysis, which presents purchasing power in 2026 for all of Germany at Municipality, shows the regional distribution of purchasing power (purchasing power at the municipal level: “Index DE = 100 » €31,620 per resident per year”).

 

Purchasing power is particularly high in and around the major cities. The municipalities with the highest purchasing power extend in a crescent shape through the west of Germany, from Hamburg to Hanover and the Rhine region with Düsseldorf, the Rhine-Main area around Frankfurt, the Stuttgart region and the Munich area.

 

In 2026, the municipalities with the highest purchasing power will once again include Grünwald near Munich (comparison index 246.1) and Wohltorf near Hamburg (205.6). Königstein im Taunus (190.9) is once again in third place, followed by Pullach im Isartal (191.2) in the greater Munich area. There, residents have roughly twice the purchasing power of the national average.

The east-west difference remains stable 

As was the case last year, the“poorer” larger municipalitiesinclude Zittau in Saxony (83.8), Wolgast in Mecklenburg-Western Pomerania (83.9), and Prenzlau in Brandenburg (85.5)—all of which are located in the new federal states. However, numerous municipalities in western Germany also fall into this group with low purchasing power. These include cities such as the university town of Giessen in Hesse (81.5) and Germersheim in Rhineland-Palatinate (84.1). Trier (84.9), Bremerhaven (86.2), and Gelsenkirchen (88.6) are also among the cities with low purchasing power. 

 

A disparity between theWest, which has higher purchasing power, and the East remains evident. Although municipalities in eastern Germany have been catching up year after year, the disparity in purchasing power will remain stable in 2026.

Nexiga's purchasing power map provides companies with a valuable basis for finding out the distribution of purchasing power within Germany and deriving strategic decisions from this. By identifying the regions with the highest (and lowest) purchasing power, companies can develop more targeted marketing and sales strategies and estimate resources more efficiently. This is particularly important when planning new locations, branches or sales networks, as choosing the right location can make a significant contribution to a company's success. Taking purchasing power into account is a decisive factor in effectively reaching potential customers and maximizing sales.

Purchasing power is defined here as the portion of disposable income that is freely available to households after deduction of taxes and social security contributions. This includes not only earned income, but also pensions, unemployment benefits, state transfer payments such as citizens' allowance or child benefit, as well as capital income. It is important to note that purchasing power is measured at the population's place of residence, which implies that the purchasing power map does not show where the money is ultimately spent. This can be particularly important for local marketing and local sales strategies, as areas with high purchasing power can be specifically selected for business activities.

In summary, Nexiga's purchasing power map is an indispensable tool for companies that want to be successful on the German market. It enables precise targeting, well-founded location decisions and the optimization of marketing and sales activities based on purchasing power distribution. Companies that use this information can base their strategies on solid data and thus minimize the risk of bad investments.

 
Sources: Nexiga's own calculations based on data from the DIW (German Institute for Economic Research), the Federal Statistical Office and the Federal Employment Agency. The data basis for the purchasing power map is a combination and enables Nexiga to create a detailed and reliable map of the distribution of purchasing power in Germany. 

Purchasing power indices are important indicators that show the disposable income of the population in different geographical units.

 

Overview of the various purchasing power indices:

  1. Purchasing Power Index (Germany = 100): This index sets purchasing power in Germany as the base value of 100. It serves as a benchmark for comparing purchasing power relative to the average.
  2. Purchasing Power Index1 (East or West Germany = 100): This index compares purchasing power between East and West Germany. It shows how purchasing power varies between the two regions within East and West Germany.
  3. Purchasing Power Index 2 (KGS2 / Federal state 100): This index sets the purchasing power of a federal state as the base value of 100. It allows for the comparison of purchasing power across different federal states.
  4. Purchasing Power Index 3 (KGS3 / Administrative district 100): This index compares purchasing power within an administrative district and sets it as the base value of 100.
  5. Purchasing Power Index 5 (KGS5 / County 100): This index sets the purchasing power of a county as a base value of 100 and allows for comparisons of purchasing power across different counties.
  6. Purchasing Power Index 8 (KGS8 / Municipality 100): This index compares purchasing power within a Municipality sets it as the base value of 100.
  7. Purchasing Power Index P2 (Postal Code 2 = 100): This index sets the purchasing power of a specific postal code area as a base value of 100, allowing for comparisons of purchasing power across different postal code areas.

 

These indices are useful for market analysis, location planning and targeted marketing strategies, as they help to understand and compare the consumption potential in different regions.