Information about neighbourhood Limbricht:

Population numbers per year
The number of inhabitants in neighbourhood Limbricht in Sittard-Geleen in the Netherlands

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Population numbers in neighbourhood Limbricht in Sittard-Geleen in the Netherlands for the years 2013 thru 2023.

The number of inhabitants is the number of persons as registered in the population register on January 1st.

Population at the map of neighbourhood Limbricht
Map of the borough Guttecoven with the population per neighbourhood in 2023. This page shows a lot of information about residents (such as the distribution by age groups, family composition, gender, native or Dutch with an immigration background, ...), homes (numbers, types, price development, use, type of property, ...) and more (car ownership, energy consumption, ...) based on open data from the Dutch Central Bureau of Statistics and various other sources!

Map of the borough Guttecoven with the population per neighbourhood in 2023. The numbers at the map represent the following neighbourhoods: 1: Limbricht, 2: Guttecoven, 3: Einighausen.

Boroughs and neighborhoods

Have a look at the information for each per borough and neighborhood of Sittard-Geleen!

Average value of dwellings
The average of the house values in neighbourhood Limbricht in Sittard-Geleen in the Netherlands

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Average dwelling value for the years 2013 thru 2022.

The house value is based on the average WOZ value for all dwellings in neighbourhood Limbricht in Sittard-Geleen in the Netherlands. WOZ is the abbreviation for the Act of Immovable Property valuation. This value is determined yearly by the local government and used for several legal and taxation purposes.


Determination of the real estate value (WOZ value):
When determining the average dwelling value, only real estate objects are included that are registered as homes (main residence or home with practice space). The (provisional) average home value is determined with the valuation date of the previous year (this is based on the WOZ, the Real Estate Valuation Act).
Characteristics of the 1.151 dwellings in neighbourhood Limbricht
Information about the homes in this region based on open data from the Dutch Central Bureau of Statistics. Overview image with 4 pie charts.

Percentages of home ownership, occupation, type and construction period.


Definitions of the characteristics of the dwellings in neighbourhood Limbricht:

Houses by ownership:
Homes for sale are owned by the resident (s) or used as a second home. Rental houses are not occupied by the owner of the house. Rental homes are divided into (1) homes owned by a housing association or other institution. And (2) rental properties owned by companies, individuals and investors.
Houses by occupation:
A house is occupied if, according to the Personal Records Database, at least 1 person was registered at the corresponding address. All other homes are considered uninhabited.
Houses by type:
A house is defined as "multi-family" when it forms a whole building together with other houses or (business) spaces. This includes flats, gallery houses, ground floor and upstairs apartments, and apartments and houses above business premises. All other homes are defined as the "single-family" type.
Houses by contruction period:
The year of construction is the year in which a building containing a home was originally delivered. The construction period as used here has two possible values: (1) built in or after the year 2000 and (2) built before the year 2000.
Population per age group
The percentage of inhabitants per age group in neighbourhood Limbricht in Sittard-Geleen in the Netherlands

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Neighbourhood Limbricht, 2023, age groups.

Population, age groups: percentage of inhabitants per age category.

Civil status
Civil status: unmarried, married, divorced or widowed, Limbricht

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Neighbourhood Limbricht, 2023, civil status.

Population, civil status: percentage of inhabitants by civil status (see the explanation for the definitions of marital status, divorced and widowed).


Definitions civil status:
Unmarried:
Persons who have never married or entered into a registered partnership.
Married:
The marital status married arises after a marriage has been concluded or after a registered partnership has been entered into. Married people also include persons who live separated from each other.
Divorced:
The status divorced arises after the dissolution of a marriage or registered partnership other than through the death of the partner. Persons who only live separately (and are still married or registered as partners) are considered to be married..
Widowed:
The civil status widowed arises after dissolution of a marriage or registered partnership due to the death of the partner.
Data about more than 100 topics!

The table below shows data for more than 100 topics as most recently available for neighbourhood Limbricht in Sittard-Geleen in the Netherlands. Select a category to display the related topics:

BusinessValueUnitYear
Businesses total220number2022
Businesses agricultural forestry fishing5number2022
Businesses industry energy15number2022
Businesses trade catering30number2022
Businesses traffic information communications10number2022
Businesses financial service real estate15number2022
Businesses business services65number2022
Government, education, care50number2022
Businesses culture recreation other services30number2022
EnergyValueUnitYear
Average electricity usage total3.260average kWh2021
Average electricity usage appartment1.980average kWh2021
Average electricity usage terraced homes3.110average kWh2021
Average electricity usage corner homes3.280average kWh2021
Average electricity usage 2 under 1 roof homes3.280average kWh2021
Average electricity usage detached homes4.150average kWh2021
Average electricity usage rental homes2.320average kWh2021
Average electricity owner-occupied homes3.430average kWh2021
Average natural gas usage total1.680average m³2021
Average natural gas usage appartment970average m³2021
Average natural gas usage terraced homes1.560average m³2021
Average natural gas usage corner homes1.700average m³2021
Average natural gas usage 2 under 1 roof homes1.690average m³2021
Average natural gas usage detached homes2.210average m³2021
Average natural gas usage rental homes1.150average m³2021
Average natural gas owner-occupied homes1.770average m³2021
Percentage homes with district heating0%percentage2014
HouseholdsValueUnitYear
Households1.150number2023
Households 1 person340number2023
Households no children425number2023
Households with children385number2023
Households average size2,20average2023
HousesValueUnitYear
Number of houses1.151number2022
Average house value€262.000Euro2022
Percentage single-family houses87%percentage2022
Percentage multi-family houses 13%percentage2022
Percentage inhabited97%percentage2022
Percentage homes uninhabited3%percentage2022
Percentage homes private owned85%percentage2022
Percentage homes rented15%percentage2022
Percentage rental-housing by a corporation10%percentage2022
Percentage homes other rental5%percentage2022
Homes ownership unknown0%percentage2022
Percentage homes built before 200094%percentage2022
Percentage homes built since 20006%percentage2022
IncomeValueUnitYear
Number of income receivers2.100number2021
Average income per income receipient€36.600Euro2020
Average income per inhabitant€31.500Euro2021
40 percentile persons with lowest income34%percentage2021
20 percentile persons with highest income22%percentage2021
Active persons 15-75 year35%percentage2020
40 percentile households with lowest income27%percentage2021
20 percentile households with highest income24%percentage2021
Percentage households with a low income2,90%percentage2021
Percentage households at social minimum2,70%percentage2021
Persons with social security welfare20number2021
Persons with social security for incapacity for work120number2021
Persons with social security for unemployed20number2021
Persons with social security for elderly650number2021
MigrationValueUnitYear
Native Dutch2.220number2022
Western total265number2022
Not western total70number2022
Marcocco5number2022
Dutch Antilles5number2022
Surinam5number2022
Turkey5number2022
Other not western45number2022
PopulationValueUnitYear
Inhabitants2.540number2023
Men1.250number2023
Women1.285number2023
Ages 0 - 15355number2023
Ages 15 - 25225number2023
Ages 25 - 45545number2023
Ages 45 - 65680number2023
Ages 65 and up740number2023
Not married1.035number2023
Married1.190number2023
Divorced165number2023
Widowed150number2023
Births25number2021
Births relative10number per 1000 inhabitants2021
Mortality20number2021
Mortality relative7number per 1000 inhabitants2021
Crime theft24number per 1000 inhabitants2022
Crime violance and sexual abuse2number per 1000 inhabitants2022
Crime environmental0number per 1000 inhabitants2022
Crime scam14number per 1000 inhabitants2022
Crime traffic15number per 1000 inhabitants2022
Crime destruction5number per 1000 inhabitants2022
Crime other3number per 1000 inhabitants2022
Crime total63number per 1000 inhabitants2022
RegionalValueUnitYear
Region codeBU18830401code2023
Region nameLimbrichtname2023
Region typeBuurttype2023
Population density879number per km22023
Passenger cars per surface521average per km²2022
Surface total291hectares2023
Surface land289hectares2023
Surface water2hectares2023
Zipcode most occuring6141.0postal code2023
Measure of urbanity4indicator 1-52023
Address density634average per km22023
TransportValueUnitYear
Passenger cars total1.505number2022
Passenger cars petrol1.305number2022
Passenger cars other fuel200number2022
Passenger cars per household1,30average2022
Motorcycles100number2022

Download all data for all years and all regional levels for The Netherlands as a whole or a specific municipality. Try this example download for free. (The downloads are currently still in Dutch, translation can be prioritised on request.)

Open data sources used

Data is used from multiple Dutch open data providers. See this description of the sources with the definitions of all regional topics.

Sources & definitions
Under development
Work is in progress to add more information to this page

This page will be further expanded with more topics in clear graphs. This will be done in several iterations in the coming weeks.