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Purchasing Power | Market Data

*Area level that is directly available for the feature. Further area levels on request.

*County, Municipality, Neighbourhood, Street segment, Zip code, Mikro-Zip code

Purchasing power in general

Purchasing power (= disposable income) is recorded at the place of residence of the income earner. It comprises income from employment and self-employment, from agriculture and forestry, from renting and leasing, from assets and from transfer payments such as pensions and annuities, Hartz IV, unemployment benefits I and II, social benefits, child benefits, benefits for education and participation, housing benefits, BAföG etc. Statutory social contributions and taxes paid have been eliminated.

 

Reported:

 

  • Purchasing power [million €]     

  • Purchasing power per inhabitant [€] / only for the data level County, Municipality, Neighbourhood, Zip code

  • Purchasing power per thousand [ppm BRD] / only for the data level County, Municipality, Neighbourhood, Zip code

  • Purchasing power category (only for the data level Street segment)

  • Purchasing power index (FRG = 100)   

  • Purchasing power index1 (O- or W-Germany = 100)

  • Purchasing power index2 (KGS2 / Federal state = 100) / only for the data level County, Municipality, Neighbourhood

  • Purchasing power index3 (KGS3 / Administrative district = 100) / only for the data level County, Municipality, Neighbourhood

  • Purchasing power index5 (KGS5 / County = 100) / only for the data level County, Municipality, Neighbourhood

  • Purchasing power index8 (KGS8 / Municipality = 100) / only for the data level Neighbourhood

  • Purchasing power indexP2 (PLZ2 = 100) / only for the data level Zip code

*County, Municipality, Neighbourhood, Street segment, Zip code, Mikro-Zip code

Household purchasing power

  • Purchasing power [million €]
  • Purchasing power in € per household
*County, Municipality

Household purchasing power by 5 age groups

  • Purchasing power [million €]
  • Purchasing power in € per household
  • Purchasing power [€ million] in households with a head of household under 30 years of age
  • Purchasing power [€ million] in households with a head of household aged 30 to under 40
  • Purchasing power [€ million] in households with head of household aged 40 to under 50
  • Purchasing power [€ million] in households with head of household aged 50 to under 60
  • Purchasing power [€ million] in households with head of household aged 60 and over

Product-specific purchasing power

Nexiga provides purchasing power figures for numerous products/product groups. Individual product-specific sales potentials can be calculated on request.

*Municipality, Neighbourhood, Zip code, Micro-Zip code

Ophthalmic optical products

  • Purchasing power of optical products [€ million]
  • Purchasing power of optical products [1,000 €]
  • Purchasing power of optical products [€ per inhabitant]
  • Sales indicator for ophthalmic optical products Index (FRG = 100)
  • Purchasing power of optical products [€ million] in net terms
  • Purchasing power of optical products [€ 1,000] in net terms
  • Purchasing power of optical products [€ per inhabitant] in net
*Municipality

Books

  • Purchasing power for books, total [€ million]
  • Purchasing power for books, total per inhabitant [€]
  • Purchasing power for books, total [ppm BRD]
  • Purchasing power for books, total Index (FRG = 100)

Further product-specific purchasing power data on request:

Clothing

  • Menswear
  • Women's clothing
  • Children's clothing
  • Laundry

Prefabricated houses

Shoes

  • Men's shoes
  • Children shoes
  • Sports shoes

Electric

  • White goods
  • Brown goods
  • Small electrical appliances

Office

  • Paper/office supplies/stationery (PBS)
  • Office Electronics
  • Office furniture

Furniture

  • Living room furniture
  • Kitchens (furniture)
  • Office furniture
  • Garden furniture
  • Contract furniture
  • Living room lights
  • Home textiles
  • Garden tools

Newspapers and magazines

  • Bathroom equipment

  • Floor coverings

  • Sporting goods

  • Toys

  • Cosmetics

  • Food and beverages

  • Food except Building

  • Cosmetics

  • Ophthalmic optical products

  • OTC (over-the-counter medicines)

  • Watches and jewelry

  • Luxury articles

  • Cell phones

  • Message transmission

Insurances

  • Life insurance
  • Private health insurance
  • Accident insurance
  • Liability insurances
  • Building insurances
  • Legal protection
  • Automotive

Banking products

  • Building savings
  • Savings bonds
  • Demand deposits
  • Time deposits
  • Securities/Shares
  • Installment loans
  • Mortgage loan
  • Pension products (company pension plans, "Riester", "Rürup")
  • Housing Loan
  • Investment certificates

More questions about our data?

Are you interested in a specific data characteristic or would you like to learn how it can be used for analyses and with our systems? Please use the contact form without any obligation. We are looking forward to your questions!