[Updated, 21.03.2019] Notes on the structural data in IZ Properties and IZ Cities

August 7, 2018 by IZ Research Blog

Are you interested in a specific property within a market and need the appropriate framework data on the location? The Nexiga structure data table, which we have permanently integrated into the detailed pages of IZ Properties and IZ Cities, offers you comprehensive figures and surveys on all German cities and municipalities within the last eight years (2010 – 2018).

At this point we would like to explain in detail how you can find the Nexiga structural data in IZ Properties and IZ Cities. In addition, we will explain which key figures are displayed, how they are collected and which reference dates they are based on.

Contents

  • Where can I find the structural data in IZ Properties?
  • Meaning of the individual values
  • Sources and data status
  • Adminstrative area structure
  • Census 2011

Where can I find the structural data?

Here you can find the structural data in the IZ Properties by performing a search and opening the detailed page of any property – illustrated here by the example of Tower 185 in Frankfurt

Next, select the menu item Structural data on the now opened property detailed page:

Now you can see the structural data for the location of the property:

In the IZ cities, follow the same procedure. First search for a city or open one of the links in the overview of all German cities with a population of 50,000 or more. On the cities detailed page that now opens, you can also reach the structural data table via the menu item Structural Data on the top right.

Meaning of the individual values

Demography Tab

Inhabitants

Population at place of main residence published as of 31.12. two years earlier (applies to data from 2010-2017, 2018 = 30.06.2016, from 2019 = 01.01. of the previous year)

Inhabitants by Age Group

Inhabitants at place of main residence, published as of 31.12. two years earlier (applies to data from 2010-2017, from 2018 = 01.01. of the previous year).

Grouped by the following five age groups: 0-14 years, 15-24 years, 25-49 years, 50-64 years, 65 years and older.

Male Inhabitants by Age Group

Male inhabitants at place of main residence, published as of 31.12. two years earlier (applies to data from 2010-2017, from 2018 = 01.01. of the previous year).

Grouped by the following five age groups: 0-14 years, 15-24 years, 25-49 years, 50-64 years, 65 years and older.

Female Inhabitants by Age Group

Female inhabitants at place of main residence, published as of 31.12. two years earlier (applies to data from 2010-2017, from 2018 = 01.01. of the previous year).

Grouped by the following five age groups: 0-14 years, 15-24 years, 25-49 years, 50-64 years, 65 years and older.

Population Movement

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

Foreigners

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

Purchasing Power Tab

Purchasing Power

Purchasing power (= disposable income) is recorded at the place of residence of the income earner. It is made up of 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 (basic unemployment benefit), unemployment benefits level I and II, social benefits, child benefits, benefits for education and participation, housing benefits, BAföG, etc. Statutory social contributions and taxes paid were eliminated.

Purchasing Power of Households

The general purchasing power in relation to the size of the households.

Purchasing Power for Consumer Goods of Daily Use

The purchasing power of daily needs comprises the products for basic needs. These primarily include food and luxury foodstuffs as well as clothing, shoes and personal care products as well as other goods for daily use. It does not include expenditure on motor vehicles, fuel, services, holiday trips, etc.

Consumption Purchasing Power

Consumer purchasing power refers to products that are used by consumers, such as food, cleaning products or cosmetics as short-term consumer goods or, for example, cars as long-term consumer goods. They are subject to wear and tear and are replaced at some point. In addition to goods and other tangible goods, consumer goods also include intangible goods such as services or insurance.

Discretionary Purchasing Power.

Disposable purchasing power is the available portion of purchasing power that is not tied up in rents, long-term insurance contracts, loan instalments etc.

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 Turnover Ratio

The turnover ratio includes turnover in stationary retail trade and in the food trade (bakeries, butchers and confectioners). The trade in motor vehicles, motor vehicle accessories, fuels, petrol stations and the mail order trade are not included.

Retail Purchasing Power Retention

The relationship between retail turnover and retail-relevant purchasing power is used to calculate purchasing power retention. This identifies spatial units with an inflow or outflow of purchasing power. The resulting centrality index is shown as a per capita index (FRG = 100) and indicates the degree of attractiveness (“magnetic effect”) of a spatial unit for its surrounding area.

Household Tab

Households in General

A household is defined as persons who live and work together.

By Three Classes of Size

Households grouped according to the following three size classes: One-person households, two-person households and households with three or more persons.

With Children

Households grouped by number of children present in the household.

By Six Income Classes

Households grouped by the following monthly net incomes: under 900€, 900-1500€, 1500-2600€, 2600-3500€, 3500-5000€, over 5000€.

By Lifestyle

DINKS households (Double Income No Kids) with a monthly household net income of more than 3,000 Euros.

High-consumption single households with a monthly net income of over 2,000 euros.

Yuppie households = The sum of DINKS and high-consumption singles under 35.

Real Estate and Construction Tab

The difference between residential and non-residential buildings is made according to the main focus of use. Buildings that – measured in terms of total usable floor space – are predominantly used for residential purposes are recorded as residential buildings and the other way round.

Current Residential Buildings

Current official buildings (residential/non-residential): Number of buildings according to the Federal Statistical Office differentiated according to the functions residential on the one hand and other (commercial, trade, culture, health, administration, etc.). The reference year of the data is 2 years previously. Example: Data from 2014 was collected in 2012.

Cuurent Apartments in Residential Buildings

Current official buildings (residential/non-residential): Number of buildings according to the Federal Statistical Office differentiated according to the functions residential on the one hand and other (commercial, trade, culture, health, administration, etc.), grouped according to the number of dwellings. The reference year of the data is 2 years previously. Example: Data from 2014 was collected in 2012.

Current Residential Buildings by Number of Dwellings

Current official buildings (residential/non-residential): Number of buildings according to the Federal Statistical Office differentiated according to the functions residential on the one hand and other (commercial, trade, culture, health, administration, etc.), grouped according to the number of residential rooms. The reference year of the data is 2 years previously. Example: Data from 2014 was collected in 2012.

Building Permits for Residential Buildings (new construction)

Number of building permits issued in the reference year differentiated by residential (including mixed use) and non-residential. The reference year of the data is 2 years previously. Example: Data from 2014 were collected in 2012.

Building Permits for Dwellings in Residential Buildings (new construction)

Number of building permits issued in the reference year differentiated by residential (including mixed-use) and non-residential, grouped by the number of dwellings. The reference year of the data is 2 years previously. Example: Data from 2014 were collected in 2012.

Building Permits for Non-Residential Buildings (new construction)

Number of building permits issued in the reference year differentiated by residential (including mixed use) and non-residential. The reference year of the data is 2 years previously. Example: Data from 2014 were collected in 2012.

Completions of Residential Buildings

Number of building completions in the reference year differentiated by residential (including mixed use) and non-residential. The reference year of the data is 2 years previously. Example: Data from 2014 were collected in 2012. The statistical offices of some municipalities carried out an intensive reconciliation of building completions in 2014. In these cases, building completions from previous years are also included in 2014.

Completions of Apartments in Residential Buildings

Number of construction completions in the reference year differentiated by residential (including mixed use) and non-residential, grouped by the number of dwellings. The reference year of the data is 2 years previously. Example: Data from 2014 were collected in 2012. The statistical offices of some municipalities carried out an intensive reconciliation of construction completions in 2014. In these cases, building completions of previous years are also included in 2014.

Completions of Non-Residential Buildings

Number of building completions in the reference year differentiated by residential (including mixed use) and non-residential. The reference year of the data is 2 years previously. Example: Data from 2014 were collected in 2012. The statistical offices of some municipalities carried out an intensive reconciliation of building completions in 2014. In these cases, building completions from previous years are also included in 2014.

Construction Power Residential Buildings

Construction power includes all services aimed at the construction or maintenance of buildings. Thus, in addition to new construction activities, this also includes construction measures on existing buildings. It does not matter whether these are subject to approval or not.

Construction Power Non-Residential Buildings

Construction power includes all services aimed at the construction or maintenance of buildings. Thus, in addition to new construction activities, this also includes construction measures on existing buildings. It does not matter whether these are subject to approval or not.

Tenant and Owner Ratio

Update of official statistics on owner-occupied and rented apartments.

Labour Market Tab

Labour Force and Employment

Employed persons = Employed persons are all civilian labour force members who carry out an economic activity as employees, self-employed persons or assisting family members.

Labour Force = Total of Employed and Unemployed Persons

Commuting Data

Outward commuters are those who leave the municipality in which they have their main residence in order to pursue their occupation. Incoming commuters are those who come to work in a municipality where they do not live.

Unemployed People

The number of residents without employment.

Employees at the Place of Work by Economic Sector

The number of employees grouped by 14 economic sectors, for example “agriculture, forestry, fishing”, “construction” or “hotels and restaurants”.

Self-Employed and Freelancers

Self-employed persons and freelancers with a monthly net income of more than 1,500 euros are shown, excluding small traders and self-employed persons in agriculture.

Tourism

Various data on tourism, for example the “tourism index” (guest beds per 1,000 inhabitants).

Gross Value Added

Gross value added is a key figure in the output account of the national accounts. It results from the total value of goods and services produced in the production process, minus the value of intermediate inputs.

Use of Space Tab

Use of Space

Use of space. Proportion of land covered by building, commercial or transport use, grouped by 15 land types.

Sources and Data Status

The sources of the data are very diverse: sources include statistical offices of the federal government, state and cities, economic institutions and associations, market surveys etc. Depending on the geographical precision of the available market information, it is either aggregated in statistical procedures from very small spatial units to larger ones or, conversely, disaggregated by means of special procedures. In any case, the aim is always to map the data comprehensively – at city, district and municipality level. All data are forecast values.

All data for the years 2010 to 2017 have the status 31.12. two years earlier. This corresponds to the most recent data available at the time of data delivery.

From 2018 onwards, all data is based on the cut-off date 01.01. of the respective previous year (01.01.2017, etc.). The values in the table Inhabitants under the category Demographics have the cut-off date 30.06.2016 for 2018.

Exception: data on purchasing power.

The data on purchasing power are forecast for the respective current year.

Area Structure

The official territorial structure of the Federal Republic of Germany is hierarchical. The relationship between the different territorial levels is clearly defined by a numerical referencing system. This structure based by the official district municipality key KGS. Each municipality is defined with an 8-digit key number (KGS8).

Census 2011

From 2015 (data status 31.12.2013) onwards, the findings of the 2011 Census have been taken into account. The figures of the data of the years 2014 (data status 31.12.2012) and 2013 (data status 31.12.2011) may deviate from the official figures of the Federal Statistical Office in that the findings of the Census 2011 have not yet been taken into account.

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