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.
*Neighbourhood, Municipality, County / Micro postal code, Zip code
Retail purchasing power retention
- Kaufkraftbindung im Einzelhandel in Mio. €
- Kaufkraftbindung im Einzelhandel in € je Einwohner
- Purchasing Power Commitment in the Retail Trade as Index Value (FRG = 100)
*Neighbourhood, Municipality, County / Micro postal code, 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.
- einzelhandelsrelevante Kaufkraft absolut in Mio. €
- einzelhandelsrelevante Kaufkraft in € je Einwohner
- Retail-relevant purchasing power in per mille (FRG = 1,000)
- Retail-relevant purchasing power as per capita index value (FRG = 100)
*Street segment, Neighbourhood / 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.
Key sales figures
Product-specific sales indicators
These are sales of a respective specialist retailer (including specialist stores) and the corresponding specialist departments of department stores.
*Neighbourhood, Municipality, County / Micro postal code, Zip code
Opticians
- Optician businesses, total
- Optiker Umsatz in € (Brutto)
- Opticians Turnover per business in EUR (gross)
- Optiker Umsatz in Tsd. € (Brutto)
- Optiker Umsatz je Betrieb in Tsd. € (Brutto)
- Opticians Sales index Index
- Optiker Nettoumsatz in Tsd. €
- Optiker Nettoumsatz je Betrieb in Tsd. €
*Neighbourhood, Municipality, County / Micro postal code, Zip code
Hearing acoustics
- Hearing aid companies, total
- Hörakustiker Umsatz in € (Brutto)
- Hörakustiker Umsatz je Betrieb in € (Brutto)
- Hörakustiker Umsatz in Tsd. € (Brutto)
- Hörakustiker Umsatz je Betrieb in Tsd. € (Brutto)
- Hearing aid acousticians Sales index Index
- Hörakustiker Nettoumsatz in Tsd. €
- Hörakustiker Nettoumsatz je Betrieb in Tsd. €
- Hearing aid sales per inhabitant
*Neighbourhood, Municipality, County / Micro postal code, 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.
- Umsatzkennziffer absolut in Mio. €
- Umsatzkennziffer in € je Einwohner
- Sales ratio in per mille (FRG = 1,000)
- Sales ratio as per capita index value (FRG = 100)
Weitere produktspezifische Umsatzkennziffern auf Anfrage wie z.B.
- 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
Wofür Einzelhandel-Daten genutzt werden?
Wo lohnt sich die Eröffnung einer neuen Filiale?
Einzelhandelsumsatz, Kaufkraft und Zentralitätskennziffern helfen dabei, attraktive Regionen für neue Geschäfte zu identifizieren und Standortpotenziale zu bewerten.
Wo bestehen noch ungenutzte Umsatzpotenziale?
Der Vergleich von einzelhandelsrelevanter Kaufkraft und tatsächlichem Einzelhandelsumsatz zeigt, in welchen Regionen Kaufkraft abfließt oder zusätzliche Absatzchancen bestehen.
Wie lassen sich Vertriebsgebiete und Filialnetze optimieren?
Regionale Einzelhandelskennzahlen unterstützen dabei, bestehende Filialstandorte zu vergleichen, Vertriebsgebiete zu bewerten und Expansionsentscheidungen fundierter zu treffen.
Wo ist die Nachfrage nach bestimmten Warengruppen besonders hoch?
Sortimentsspezifische Kaufkraftdaten helfen, regionale Absatzpotenziale zu erkennen und Sortimente sowie Marketingmaßnahmen gezielter auf die Nachfrage auszurichten.