Nexiga data finder

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Demographics | Market data

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

*Neighbourhood, Municipality, County / Micro postal code, Zip code / local network code, local network code and connection area

Inhabitants

  • Total inhabitants (also data level buildings, Street segment)
  • Inhabitants by gender
  • Population density (inhabitants per km2)
*Neighbourhood, Municipality, County / Micro postal code, Zip code, local network code, local network code and connection area

Population by 5 age groups

  • 0 - 14 years
  • 15 - 24 years
  • 25 - 49 years
  • 50 - 64 years
  • 65 years and older
*Neighbourhood, Municipality, County / Micro postal code, Zip code, local network code, local network code and connection area

Inhabitants according to 17 age groups

0 - 2, 3 - 5, 6 - 9, 10 - 14, 15 - 17, 18 - 19, 20 - 24, 25 - 29, 30 - 34, 35 - 39, 40 - 44, 45 - 49, 50 - 54, 55 - 59, 60 - 64, 65 - 74, 75 years and older

*Neighbourhood, Municipality, County / Micro postal code, Zip code, local network code, local network code and connection area

Inhabitants according to 5 age groups and gender

  • Male:
    • 0 - 14 years
    • 15 - 24 years
    • 25 - 49 years
    • 50 - 64 years
    • 65 years and older

 

  • Female:
    • 0 - 14 years
    • 15 - 24 years
    • 25 - 49 years
    • 50 - 64 years
    • 65 years and older
*Neighbourhood, Municipality, County / Micro postal code, Zip code, local network code, local network code and connection area

Inhabitants according to 17 age groups and gender

  • male: 0 - 2, 3 - 5, 6 - 9, 10 - 14, 15 - 17, 18 - 19, 20 - 24, 25 - 29, 30 - 34, 35 - 39, 40 - 44, 45 - 49, 50 - 54, 55 - 59, 60 - 64, 65 - 74, 75 years and older

 

  • female: 0 - 2, 3 - 5, 6 - 9, 10 - 14, 15 - 17, 18 - 19, 20 - 24, 25 - 29, 30 - 34, 35 - 39, 40 - 44, 45 - 49, 50 - 54, 55 - 59, 60 - 64, 65 - 74, 75 years and older
*Neighbourhood, Municipality, County / Micro postal code, Zip code, local network code, local network code and connection area

Population by 20 age groups

  • 0 - 2, 3 - 5, 6 - 9, 10 - 14, 15 - 17, 18 - 19, 20 - 24, 25 - 29, 30 - 34, 35 - 39, 40 - 44, 45 - 49, 50 - 54, 55 - 59, 60 - 64, 65 - 69, 70 - 74, 75 - 79, 80 - 84, 85 years and older
*Neighbourhood, Municipality, County / Micro postal code, Zip code, local network code, local network code and connection area

Population by 20 age groups and gender 

  • Male: 0 - 2, 3 - 5, 6 - 9, 10 - 14, 15 - 17, 18 - 19, 20 - 24, 25 - 29, 30 - 34, 35 - 39, 40 - 44, 45 - 49, 50 - 54, 55 - 59, 60 - 64, 65 - 69, 70 - 74, 75 - 79, 80 - 84, 85 years and older

 

  • female: 0 - 2, 3 - 5, 6 - 9, 10 - 14, 15 - 17, 18 - 19, 20 - 24, 25 - 29, 30 - 34, 35 - 39, 40 - 44, 45 - 49, 50 - 54, 55 - 59, 60 - 64, 65 - 69, 70 - 74, 75 - 79, 80 - 84, 85 years and older
*Neighbourhood, Municipality, County / Zip code 

Population by 21 age groups

  • 0 - 2, 3 - 5, 6 - 9, 10 - 14, 15 - 17, 18 - 19, 20 - 24, 25 - 29, 30 - 34, 35 - 39, 40 - 44, 45 - 49, 50 - 54, 55 - 59, 60 - 64, 65 - 69, 70 - 74, 75-79, 80 - 84, 85 - 89, 90 years and older
*Neighbourhood, Municipality, County / Zip code

Population by 21 age groups and gender 

  • Male: 0 - 2, 3 - 5, 6 - 9, 10 - 14, 15 - 17, 18 - 19, 20 - 24, 25 - 29, 30 - 34, 35 - 39, 40 - 44, 45 - 49, 50 - 54, 55 - 59, 60 - 64, 65 - 69, 70 - 74, 75-79, 80 - 84, 85 - 89, 90 years and older

 

  • female: 0 - 2, 3 - 5, 6 - 9, 10 - 14, 15 - 17, 18 - 19, 20 - 24, 25 - 29, 30 - 34, 35 - 39, 40 - 44, 45 - 49, 50 - 54, 55 - 59, 60 - 64, 65 - 69, 70 - 74, 75-79, 80 - 84, 85 - 89, 90 years and older

Population movement

The population movement results from the natural population movement (births and deaths) and the migration (inflows and outflows).

*Municipality, County

Natural population movement

  • Total live births
  • Live births male
  • Live-born female
  • Deceased, total
  • Deceased male
  • Deceased female
  • Departures, total (across municipal borders)
  • Immigration, total (across municipal borders)
  • Population movement: Births and inflows minus deaths and outflows
  • Fluctuation rate (inflows plus outflows per 1,000 inhabitants)
  • Net migration (difference between immigration and emigration)
*Street segment

Departures and arrivals in 5 classes 

  • Departures, total
  • Outward migration, total as per capita index (FRG = 100)
  • Departures near, inhabitants
  • Outward migration within Municipality as a per capita index (FRG = 100)
  • Departures far away, residents
  • Departures across municipal borders as a per capita index (FRG = 100)
  • Immigration, total
  • Immigration, total as per capita index (FRG = 100)
  • Immigration near, residents
  • Immigration within Municipality as a per capita index (FRG = 100)
  • Inward migration, residents
  • Immigration across municipal borders as a per capita index (FRG = 100)

Key figures on population movement

  • Net migration
  • Population movement: Births and inflows minus deaths and outflows
  • Fluctuation rate: In-migration plus out-migration per 1,000 inhabitants
*Neighbourhood

Moving in and out

  • Departures, total
  • Outward migration, total as per capita index (FRG = 100)
  • Departures near, inhabitants
  • Outward migration within Municipality as a per capita index (FRG = 100)
  • Departures far away, residents
  • Departures across municipal borders as a per capita index (FRG = 100)
  • Immigration, total
  • Immigration, total as per capita index (FRG = 100)
  • Immigration near, residents
  • Immigration within Municipality as a per capita index (FRG = 100)
  • Inward migration, residents
  • Immigration across municipal borders as a per capita index (FRG = 100)
*Municipality, County

Population by educational attainment

  • Population with lower secondary school leaving certificate
  • Population with secondary school leaving certificate / polytechnic secondary school
  • Population with technical college or university entrance qualification
  • Population with apprenticeship/apprenticeship training
  • Population with master craftsman/technician training or technical college
  • Population with a degree from a university of applied sciences or university

Population forecast

Population forecast for the years 2025, 2030 and 2035. Based on official regional population projection data and forecasts by the Federal Statistical Office.

*Neighbourhood, Municipality, County / Zip code
  • Current population, total
  • Population 2025, total
  • Population 2030, total
  • Population 2035, total
*Municipality , County / Zip code

Population forecast by 5 age groups

  • Current population, total
  • Population 2025, total
  • Population 2030, total
  • Population 2035, total

 

  • Population 0 - 14 years - 2025, 15 - 24 years - 2025, 25 - 49 years - 2025, 50 - 64 years - 2025, 65 years and older - 2025

 

  • Population 0 - 14 years - 2030, 15 - 24 years - 2030, 25 - 49 years - 2030, 50 - 64 years - 2030, 65 years and older - 2030

 

  • Population 0 - 14 years - 2035, 15 - 24 years - 2035, 25 - 49 years - 2035, 50 - 64 years - 2035, 65 years and older - 2035
*Municipality, County / Zip code

Population forecast by 19 age groups

  • Current population, total
  • Population, total - 2025
  • Population male - 2025
  • Population female - 2025
  • Population, total - 2030
  • Population male - 2030
  • Population female - 2030
  • Inhabitants, total - 2035
  • Population male - 2035
  • Population female - 2035

 

  • Population male 2025: under 1 year, 1 - 4 years, 5 - 9 years, 10 - 14 years, 15 - 19 years, 20 - 24, 25 - 29 years, 30 - 34 years, 35 - 39 years, 40 - 44 years, 45 - 49 years, 50 - 54 years, 55 - 59 years, 60 - 64 years, 65 - 69 years, 70 - 74 years, 75 - 79 years, 80 - 84 years, 85 years and older

 

  • Population male 2030: under 1 year, 1 - 4 years, 5 - 9 years, 10 - 14 years, 15 - 19 years, 20 - 24, 25 - 29 years, 30 - 34 years, 35 - 39 years, 40 - 44 years, 45 - 49 years, 50 - 54 years, 55 - 59 years, 60 - 64 years, 65 - 69 years, 70 - 74 years, 75 - 79 years, 80 - 84 years, 85 years and older

 

  • Population male 2035: under 1 year, 1 - 4 years, 5 - 9 years, 10 - 14 years, 15 - 19 years, 20 - 24, 25 - 29 years, 30 - 34 years, 35 - 39 years, 40 - 44 years, 45 - 49 years, 50 - 54 years, 55 - 59 years, 60 - 64 years, 65 - 69 years, 70 - 74 years, 75 - 79 years, 80 - 84 years, 85 years and older

 

  • Population female 2025: under 1 year, 1 - 4 years, 5 - 9 years, 10 - 14 years, 15 - 19 years, 20 - 24, 25 - 29 years, 30 - 34 years, 35 - 39 years, 40 - 44 years, 45 - 49 years, 50 - 54 years, 55 - 59 years,60 - 64 years, 65 - 69 years, 70 - 74 years, 75 - 79 years, 80 - 84 years, 85 years and older
  • Population female 2030: under 1 year, 1 - 4 years, 5 - 9 years, 10 - 14 years, 15 - 19 years, 20 - 24, 25 - 29 years, 30 - 34 years, 35 - 39 years, 40 - 44 years, 45 - 49 years, 50 - 54 years, 55 - 59 years, 60 - 64 years, 65 - 69 years, 70 - 74 years, 75 - 79 years, 80 - 84 years, 85 years and older

 

  • Population female 2035: under 1 year, 1 - 4 years, 5 - 9 years, 10 - 14 years, 15 - 19 years, 20 - 24, 25 - 29 years, 30 - 34 years, 35 - 39 years, 40 - 44 years, 45 - 49 years, 50 - 54 years, 55 - 59 years, 60 - 64 years, 65 - 69 years, 70 - 74 years, 75 - 79 years, 80 - 84 years, 85 years and older

Population development

Population development in recent years from 2005 onwards.

*Municipality, County

Population development by 5 age groups from 2005

Inhabitants 2005

  • Population 2005: 0 - 14 years, 15 - 24 years, 25 - 49, 50 - 64 years ,65 years and older 2005

 

Population development absolute and % 2005 to 2006

  • Population development 0 - 14 years absolute 2005 to 2006
  • Population development 15 - 24 years absolute 2005 to 2006
  • Population development 25 - 49 years absolute 2005 to 2006
  • Population development 50 - 64 years absolute 2005 to 2006
  • Development of population aged 65 and over absolute 2005 to 2006

 

Population development in % 2005 to 2006

  • Population development 0 - 14 years in % 2005 to 2006
  • Population development 15 - 24 years in % 2005 after 2006
  • Population development 25 - 49 years in % 2005 after 2006
  • Population development 50 - 64 years in % 2005 after 2006
  • Population development 65 years and older in % 2005 to 2006
  • Inhabitants 2006
  • Population 0 - 14 years - 2006
  • Population 15 - 24 years - 2006
  • Inhabitants 25 - 49 years - 2006
  • Inhabitants 50 - 64 years - 2006
  • Population aged 65 and over - 2006

 

Population development absolute 2006 to 2007

  • Population development 0 - 14 years absolute 2006 to 2007
  • Population development 15 - 24 years absolute 2006 to 2007
  • Population development 25 - 49 years absolute 2006 to 2007
  • Population development 50 - 64 years absolute 2006 to 2007
  • Development of population aged 65 and over absolute 2006 to 2007

 

Population development in % 2006 to 2007

  • Population development 0 - 14 years in % 2006 to 2007
  • Population development 15 - 24 years in % 2006 to 2007
  • Population development 25 - 49 years in % 2006 to 2007
  • Population development 50 - 64 years in % 2006 to 2007
  • Population development 65 years and older in % 2006 to 2007

 

Years 2008-2019 according to the same principle

 

Population development absolute 2019 after 2020

  • Population development 0 - 14 years absolute2019 after 2020
  • Population development 15 - 24 years absolute2019 after 2020
  • Population development 25 - 49 years absolute2019 after 2020
  • Population development 50 - 64 years absolute2019 after 2020
  • Population development aged 65 and over absolute2019 to 2020

 

Population development in % 2019 after 2020

  • Population development 0 - 14 years in % 2019 after 2020
  • Population development 15 - 24 years in % 2019 after 2020
  • Population development 25 - 49 years in % 2019 after 2020
  • Population development 50 - 64 years in % 2019 after 2020
  • Population development 65 years and older in % 2019 after 2020
*Municipality, County / Zip code

Population by health insurance

  • Residents with statutory health insurance
  • Residents with private health insurance

Foreigners

Foreigners are all persons who are not Germans within the meaning of Article 116 (1) of the Basic Law.

*Neighbourhood, Municipality, County / Micro postal code, Zip code

Foreigners by ethnic group

Divided into 8 country groups:

 

  • North America, Australia and Oceania
  • Central and South America
  • Northern and Western Europe
  • Southern Europe
  • Eastern Europe
  • Asia, Africa, Middle East
  • Russia, Belarus, Ukraine
  • Other
*Neighbourhood, Municipality, County / Micro postal code, Zip code

Total foreigners

  • Foreigners absolute
  • Percentage of foreigners

Marital status

*Municipality, County

Population by marital status

  • Divorced/widowed
  • Single
  • Married

Marriages

  • Marriages
  • Divorces

Further data on request:

e.g.

Graduates *Municipality

  • Number of graduates from general education schools
  • Number of graduates from vocational schools

Career starter *Municipality 

  • Number of career starters at the place of work
  • Number of career starters at place of residence

Glasses *Municipality / Zip code

  • Number of potential users of visual aids
  • Spectacle wearer index

Hearing aids *Municipality / Zip code

  • Number of hearing aid users

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!