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Retail | Market data

Centrality index and purchasing power retention

Purchasing power retention is calculated from the ratio of retail sales to retail-relevant purchasing power. This identifies spatial units with an inflow or outflow of purchasing power. The resulting centrality index is shown as a per capita index (BRD = 100) and shows the degree of attractiveness ("magnetic effect") of a spatial unit for its surrounding area.

 

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

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

Retail purchasing power retention

  • Retail purchasing power retention in EUR million
  • Retail purchasing power in EUR per inhabitant
  • Purchasing Power Commitment in the Retail Trade as Index Value (FRG = 100)
*County, Municipality, Neighbourhood, Zip code, Micro-Zip code

Sales ratio in the retail trade

The sales indicator includes sales in the stationary retail trade and the food trade (bakeries, butchers and confectioners). The trade in motor vehicles, motor vehicle accessories, fuels, service stations and the mail order business are not included.

  • Sales ratio absolute in EUR million
  • Sales ratio in EUR per inhabitant
  • Sales ratio in per mille (FRG = 1,000)
  • Sales ratio as per capita index value (FRG = 100)
*County, Municipality, Neighbourhood, Zip code, Micro-Zip code

Retail-relevant purchasing power

Retail-relevant purchasing power results from the shares of disposable income available to the resident population of a given area for retail spending.

  • Retail-relevant purchasing power absolute in EUR million
  • Retail-relevant purchasing power in EUR per inhabitant
  • Retail-relevant purchasing power in per mille (FRG = 1,000)
  • Retail-relevant purchasing power as per capita index value (FRG = 100)
*Neighbourhood, Street segment, microZip code

Pedestrian Frequency Indicator

Nexiga analyzed all frequency-generating retail and service establishments nationwide at the street segment level and related them to the number of buildings.

The pedestrian frequency indicator includes retail locations from kiosks to department stores, but also doctors, banks, hairdressers, travel agencies, restaurants and cafés. The individual businesses are weighted by sector according to their frequency-generating significance. The location in pedestrian zones is included in the weighting as a further frequency-generating characteristic.

The pedestrian frequency indicator serves as an important parameter for location evaluation, because it illustrates well and poorly frequented locations at the finest spatial level. It is therefore an indispensable tool for location and store network planning.

Purchasing power and sales indicators

Product-specific sales indicators

These are sales of a respective specialist retailer (including specialist stores) and the corresponding specialist departments of department stores.

County, Municipality, Neighbourhood, Zip code, Micro-Zip code

Opticians

  • Optician businesses, total
  • Opticians Turnover in EUR (gross)
  • Opticians Turnover per business in EUR (gross)
  • Opticians Turnover in EUR thousand (gross)
  • Opticians Turnover per business in EUR thousand (gross)
  • Opticians Sales index Index
  • Opticians Net sales in EUR thousand
  • Opticians Net sales per business in EUR thousand
County, Municipality, Neighbourhood, Zip code, Micro-Zip code

Hearing acoustics 

  • Hearing aid companies, total
  • Hearing aid sales in EUR (gross)
  • Hearing aid acousticians Turnover per business in EUR (gross)
  • Hearing aid acousticians Turnover in EUR thousand (gross)
  • Hearing aid acousticians Turnover per business in EUR thousand (gross)
  • Hearing aid acousticians Sales index Index
  • Hearing aid acousticians Net sales in EUR thousand
  • Hearing aid acousticians Net sales per business in EUR thousand
  • Hearing aid sales per inhabitant

 

Further product-specific sales figures on request, e.g.

  • White/brown goods
  • Food and beverages
  • Clothing
  • Electrical household appliances
  • Building and do-it-yourself supplies
  • Toys
  • Home textiles
  • Books, newspapers and magazines
  • Living room furniture
  • PBS (paper, office, stationery)
  • Garden supplies
  • Books
  • Watches and jewelry

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!