Statistics borough Maren-Kessel

Statistics borough Maren-Kessel

Check out data on over 250 topics about the borough Maren-Kessel in municipality Oss. Explore figures, tables, and charts, complete with clear definitions for each topic. Dive into the data now!
Check out data on over 250 topics about the borough Maren-Kessel in municipality Oss. Explore figures, tables, and charts, complete with clear definitions for each topic. Dive into the data now!

View many more figures and charts for the borough Maren-Kessel on the Dutch version of this page at AlleCijfers.nl.

Population per year
The borough Maren-Kessel has 1.450 inhabitants in 2025.

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The chart above shows the number of inhabitants per year based on data from CBS for the borough Maren-Kessel.


The table below shows the number of inhabitants per year based on data from CBS for the borough Maren-Kessel:

JaarPopulation Borough Maren-Kessel% difference
20251.4503,94%
20241.395-1,06%
20231.410-1,05%
20221.4253,26%
20211.3800,73%
20201.370-0,72%
20191.3800,0%
20181.380-0,36%
20171.3850,36%
20161.380-1,08%
20151.395-2,11%
20141.4250,0%
20131.425geen data

Het number of inhabitants in the borough Maren-Kessel has changed with 25 inhabitants from 1.425 inhabitants in 2013 to 1.450 inhabitants in 2025 (that is a change of 1,75%). The average difference per year over the entire period from 2013 to 2025 was 2 inhabitants (0,16%).

The number of inhabitants is the number of persons as recorded in the population register on the first of January of each year.

Population at the map of the borough Maren-Kessel
Map of the surroundings of the borough Maren-Kessel.
Image of the borough Maren-Kessel at the map. This image is used as introduction to this page. This page shows a lot of information about the population in the borough Maren-Kessel (such as the distribution by age groups of the residents, the composition of households, whether inhabitants are natives or Dutch with an immigration background, data about the houses (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 Maren-Kessel with the population per neighbourhood in 2025. The numbers at the map represent the following neighbourhoods: 1: Kessel, 2: Maren-Kessel, 3: Maren, 4: Buitengebied het Laag Heemaal, 5: ’t Wild.

Regional overview

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House characteristics
There are 591 houses in de wijk Maren-Kessel.
Information about the homes in this region based on open data from the Dutch Central Bureau of Statistics. Overview image with 4 pie charts.

The four pie charts above show the percentage distribution of dwellings by various housing characteristics. Available categories include ownership, occupancy, dwelling type, building type, and construction period. The year to which the data apply is shown at the center of the chart. Click the image to view a larger version.

See the explanation below for the definitions of the housing characteristics.

Definitions of the characteristics of the dwellings in the borough Maren-Kessel:

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.
Average house value per year in the borough Maren-Kessel
The average property value in The borough Maren-Kessel was €493.000 in 2025.

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The chart above shows the average WOZ property value per year in the borough Maren-Kessel.


The table below shows the average WOZ house value per year based on data from the CBS for the borough Maren-Kessel:

JaarAverage property value Borough Maren-Kessel% difference
2025€493.0004,01%
2024€474.0003,72%
2023€457.00016%
2022€394.00010%
2021€357.0001,42%
2020€352.0005,4%
2019€334.00036%
2018€246.0002,07%
2017€241.000-15%
2016€282.00018%
2015€239.000-2,85%
2014€246.000-8,9%
2013€270.000geen data

The average property value in the borough Maren-Kessel has changed with €223.000 from €270.000 in 2013 to €493.000 in 2025 (that is a change of 83%). The average difference per year over the entire period from 2013 to 2025 was €18.583 (5,9%). The development of the data over time follows a clearly increasing trend: The numbers grow almost every year.

Determination of the real estate value (WOZ value):

Average dwelling value based on the WOZ:
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).
Types of dwellings
Corner dwelling type is most common in Borough Maren-Kessel: there are 348 addresses with house type corner dwelling type.
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The pie chart above shows the number and percentage of dwellings by type in the borough Maren-Kessel.

The data on types of dwellings are based on the Kadaster housing classification and the Kadaster records on fixed and mobile residential units. The dwelling type is determined using a geographic-algorithmic method for buildings that contain a residential unit (buildings with a residential use function). The data reflect the situation as of 1 januari 2026.

Energy labels
The most common energy labels in Borough Maren-Kessel are C (140 addresses) and A (118 addresses).
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The chart above shows the number of addresses per type of energy label in the borough Maren-Kessel. For this purpose, data at address level from the EP-Online system of the RVO was used. EP-Online is the official national database containing energy labels and energy performance indicators of buildings. The data used apply to the situation as per January 1st, 2026.

An energy label indicates how energy-efficient a building is. G is the worst energy label, and A+++++ is the best. Energy label C is most common in Borough Maren-Kessel: 140 addresses have energy label C. The download with detailed information for the municipality Oss contains the data on energy labels, both per postal code, place of residence, district, and neighbourhood, as well as per address.

Traffic accidents by outcome
There were 7 traffic accidents in total in Borough Maren-Kessel in 2024.

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The above graph shows the development of the number of traffic accidents in the borough Maren-Kessel. Use the filter above the graph to choose the display of the number of traffic accidents by the outcome of the accident.


The table below shows the number of traffic accidents in the borough Maren-Kessel in 2024.

Outcome of traffic accidentsNumber of traffic accidents in 2024
Total7
Material damage6
Personal injury1
Fatal outcome0

The traffic accident dataset BRON is linked to the digital road network. Based on the location of the accidents, it is determined which accidents fall within the borough Maren-Kessel.

Figures on traffic accidents

The data on accidents come from the Registered Accidents Netherlands (BRON) database of Rijkswaterstaat. This dataset contains traffic accident reports from the police linked to the digital road network. The accidents are categorized by the outcome of the accident: solely material damage, accidents with injured victims, and accidents with fatal outcomes. Personal injury is damage that someone has suffered due to physical injuries or psychological problems. Accidents with injured victims include all situations where someone has been hospitalized due to the accident, where first aid has been administered, and all other accidents where someone has been injured.

Police data about crime

The four charts below show the recorded crimes based on data from the police and the CBS for the borough Maren-Kessel. The descriptions of the types of crimes as used by the police can be found in the table with definitions of the different types of crimes (this information is in Dutch). The police data is updated monthly, the most recent update was on January 15th, 2026.

Total recorded crime per month or per year
In 2025 a total of 23 crimes were registered in Borough Maren-Kessel.
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Total number of registered crimes in the borough Maren-Kessel, from 2012 to 2025 inclusive (when displaying the data per year) or July 2024 to December 2025 (when displaying the data per month).

In the borough Maren-Kessel a total of 429 crimes have been registered from 2012 to 2025. These crimes are classified into 26 different types of crime. In 2025 the police recorded 23 crimes in the borough Maren-Kessel. Use the filter above the graph to show the data per month or per year.

Crimes by type of crime
The most common types of crimes in Borough Maren-Kessel in 2025 are Horizontal fraud (7 crimes) en Under influence (road) (3 crimes).
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Number of crimes for the ten most common types of crimes, 2025, borough Maren-Kessel.

Crime definitions (Dutch)
Total crime per month
In December 2025 one crime was registered in Borough Maren-Kessel.
Image of a heatmap (a visual representation of data using colors to represent values) showing the total number of crimes in the borough Maren-Kessel per month and per year.

The heatmap above provides a visual representation of the total number of crimes registered by the police per month in the borough Maren-Kessel over the past 6 years.

All data is available in the Excel document with police data as part of the download for the municipality of Oss.

Crimes per 1,000 inhabitants
There were 6 crimes per 1,000 inhabitants of the type ‘diefstal’ in 2025 in Borough Maren-Kessel.
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Crime: number of crimes per 1,000 inhabitants in 2025 in the borough Maren-Kessel.

The chart shows the latest data on the number of crimes per 1,000 inhabitants for the borough Maren-Kessel. For this purpose, the data on crimes have been grouped into (1) the total number of thefts (all forms, such as theft from homes and sheds, theft of cars and bicycles and shoplifting), (2) violence and sex crimes, (3) environmental violations, (4) fraud, (5) traffic violations, (6) vandalism and crimes against public order and (7) all other crimes.

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Births per 1,000 inhabitants
8 babies per 1,000 inhabitants were born in 2024 in Borough Maren-Kessel.
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The chart above shows the development of the number of live babies born per 1,000 inhabitants the borough Maren-Kessel.

De cijfers over de geboortes per 1.000 aantal inwoners zijn berekend door het aantal levendgeborenen van 1 januari tot en met 31 december te delen door het aantal inwoners op 1 januari van het betreffende jaar.

Birth figures

The figures on the relative number of births are based on data from CBS. The basis for this is the number of live births from January 1 to December 31 in relation to the number of inhabitants on January 1 of a year in the borough Maren-Kessel. The relative number of births may be higher than expected based on the population. The relative figure concerns the number of births during the year compared to the number of inhabitants on January 1. In new-build areas, the number of residents can grow significantly in a year. For example, 10 children can be born in 1 year in a neighbourhood in which only 10 inhabitants live on January 1, but at the end of the year, for example, 200 inhabitants.

Deaths per 1,000 inhabitants
4 people per 1,000 inhabitants died in 2024 in Borough Maren-Kessel.
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The graph above shows the development of the number of deaths per 1,000 inhabitants the borough Maren-Kessel.

The figures on mortality per 1,000 inhabitants are based on data from CBS. The relative mortality is determined as the number of deaths from January 1 to December 31, per 1,000 inhabitants on January 1 of the year in question.

More mortality (Dutch)
Data on more than 250 topics!
View the data on all topics in the table below.
TopicCategoryValueUnitYear
Region codeRegionalWK082821Code2025
Region nameRegionalMaren-KesselName2025
Region typeRegionalWijkCategorical type2025
Sort codeRegional08282100Code2025
InhabitantsPopulation1,450Number2025
MenPopulation740Number2025
WomenPopulation715Number2025
Ages 0 - 15Population185Number2025
Ages 15 - 25Population155Number2025
Ages 25 - 45Population310Number2025
Ages 45 - 65Population480Number2025
Ages 65 and upPopulation310Number2025
Not marriedPopulation620Number2025
MarriedPopulation670Number2025
DivorcedPopulation105Number2025
WidowedPopulation60Number2025
% MenPopulation51%Percentage2025
% WomenPopulation49%Percentage2025
% Ages 0 - 15Population13%Percentage2025
% Ages 15 - 25Population11%Percentage2025
% Ages 25 - 45Population22%Percentage2025
% Ages 45 - 65Population33%Percentage2025
% Ages 65 and upPopulation22%Percentage2025
% Not marriedPopulation43%Percentage2025
% MarriedPopulation46%Percentage2025
% DivorcedPopulation7.2%Percentage2025
% WidowedPopulation4.12%Percentage2025
Births totalPopulation10Number2024
Births relativePopulation8Number per 1,000 inhabitants2024
Mortality totalPopulation5Number2024
Mortality relativePopulation4Number per 1,000 inhabitants2024
Origin NetherlandsMigration1,265Number2025
Origin outside NetherlandsMigration185Number2025
Origin EuropeMigration125Number2025
Origin outside EuropeMigration60Number2025
% Origin NetherlandsMigration87%Percentage2025
% Origin outside NetherlandsMigration13%Percentage2025
% Origin EuropeMigration8.6%Percentage2025
% Origin outside EuropeMigration4.14%Percentage2025
Born in Netherlands origin NetherlandsMigration1,265Number2025
Born in Netherlands origin EuropeMigration35Number2025
Born in Netherlands origin outside EuropeMigration30Number2025
Born in NetherlandsMigration65Number2025
Born in NetherlandsMigration1,330Number2025
Born outside Netherlands origin EuropeMigration90Number2025
Born outside Netherlands origin outside EuropeMigration30Number2025
Born outside NetherlandsMigration120Number2025
% Born in Netherlands origin NetherlandsMigration87%Percentage2025
% Born in Netherlands origin EuropeMigration2.41%Percentage2025
% Born in Netherlands origin outside EuropeMigration4.48%Percentage2025
% Born in NetherlandsMigration2.07%Percentage2025
% Born in NetherlandsMigration92%Percentage2025
% Born outside Netherlands origin EuropeMigration6.2%Percentage2025
% Born outside Netherlands origin outside EuropeMigration2.07%Percentage2025
% Born outside NetherlandsMigration8.3%Percentage2025
Native DutchMigration1,275Number2022
Western totalMigration105Number2022
Non-western totalMigration45Number2022
Dutch Antilles and ArubaMigration0Number2022
MoroccoMigration5Number2022
SurinameMigration10Number2022
TurkeyMigration0Number2022
Other non-westernMigration30Number2022
Primary school pupils Education90Number2024
Secondary school pupils Education60Number2024
Secondary vocational education students (MBO) Education40Number2024
Higher professional education students (HBO) Education30Number2024
University students (WO) Education10Number2024
Practical education level Education240Number2023
Intermediate education level Education540Number2023
Theoretical education level Education300Number2023
% Practical education level Education22%Percentage2023
% Intermediate education level Education50%Percentage2023
% Theoretical education level Education28%Percentage2023
Households Households630Number2025
Single-person households Households180Number2025
Multi-person households Households450Number2025
Multi-person households without children Households225Number2025
Multi-person households with children Households225Number2025
% Single-person households Households29%Percentage2025
% Multi-person households Households71%Percentage2025
% Multi-person households without children Households36%Percentage2025
% Multi-person households with children Households36%Percentage2025
Average household size Households2.3Average number2025
Employed labour force Income840Number2023
Net labor participationIncome78%Percentage2023
% EmployeesIncome74%Percentage2023
% Employees with permanent contractsIncome53%Percentage2023
% Employees with flexible contractsIncome21%Percentage2023
% Self-employedIncome26%Percentage2023
Income receivers per 1,000 inhabitantsIncome1,200Number2024
Income receiversIncome860Number per 1,000 inhabitants2024
Average income per income recipientIncome€42,100Average in euro2023
Average income per inhabitantIncome€35,800Average in euro2023
40% persons with lowest incomeIncome37%Percentage2024
20% persons with highest incomeIncome21%Percentage2024
% persons Income1.5%Percentage2024
% persons Income2.7%Percentage2024
Average standardized household incomeIncome€44,200euro2023
40% households with lowest incomeIncome27%Percentage2024
20% households with highest incomeIncome31%Percentage2024
Households with a low incomeIncome1.7%Percentage2023
% Households at social minimumIncome3.3%Percentage2023
Households up to 110% of the social minimumIncome5.1%Percentage2023
Households up to 120% of the social minimumIncome5.9%Percentage2023
Median capital assets of private householdsIncome€345,500euro2024
Persons with social security welfareIncome20Number2024
Persons with social security for incapacity for workIncome70Number2024
Persons with social security for unemployedIncome10Number2024
Persons with social security for elderlyIncome250Number2024
Persons with social security welfareIncome1%Percentage2024
Persons with social security for incapacity for workIncome5%Percentage2024
Persons with social security for unemployedIncome1%Percentage2024
Persons with social security for elderlyIncome18%Percentage2024
Young people with youth care in kindPopulation30Number2024
% Young people with youth carePopulation10%Percentage2024
Wmo clientsPopulation85Number2024
Wmo clients relativePopulation62Number per 1,000 inhabitants2024
Housing stockHouses591Number2025
Houses per 1,000 inhabitantsHouses408Number per 1,000 inhabitants2025
Newly built dwellingsHouses26Number2024
Non-dwelling stockHouses52Number2025
Newly built non-dwellingsHouses0Number2024
Average house valueHouses€493,000Average in euro2025
House value classHouses€400.000 tot €500.000Categorical type2025
nannan567Number2025
nannan24Number2025
Privately owned homesHouses455Number2025
Rented homesHouses136Number2025
Rental-housing by corporationHouses95Number2025
Homes other rentalHouses41Number2025
Ownership unknownHouses0Number2025
Single-family housesHouses567Number2025
Multi-family housesHouses24Number2025
InhabitedHouses77%Percentage2025
UninhabitedHouses23%Percentage2025
% Privately owned homesHouses16%Percentage2025
% Rented homesHouses7%Percentage2025
% Rental-housing by corporationHouses0%Percentage2025
% Homes other rentalHouses96%Percentage2025
% Ownership unknownHouses4%Percentage2025
% Single-family housesHouses96%Percentage2025
% Multi-family housesHouses4%Percentage2025
% InhabitedHouses30Number2026
% UninhabitedHouses66Number2026
ApartmentsHouses54Number2026
Terraced housesHouses119Number2026
Corner dwelling typeHouses348Number2026
Semi-detached housesHouses0Number2026
Detached housesHouses5%Percentage2026
Unknown dwelling typeHouses11%Percentage2026
% Apartment dwelling typeHouses9%Percentage2026
% Terraced or linked dwelling typeHouses19%Percentage2026
% Corner dwelling typeHouses56%Percentage2026
% Semi-detached dwelling typeHouses0.0%Percentage2026
% Detached dwelling typeHouses75Number2026
% Unknown dwelling typeHouses111Number2026
Dwellings built before 1945Houses123Number2026
Dwellings built from 1945 to 1965Houses72Number2026
Dwellings built from 1965 to 1975Houses59Number2026
Dwellings built from 1975 to 1985Houses47Number2026
Dwellings built from 1985 to 1995Houses27Number2026
Dwellings built from 1995 to 2005Houses87Number2026
Dwellings built from 2005 to 2015Houses14Number2026
Dwellings built from 2015 to 2025Houses2Number2026
Dwellings built from 2025 onwardsHouses12%Percentage2026
Dwellings unknown year of builtHouses18%Percentage2026
% Dwellings built before 1945Houses20%Percentage2026
% Dwellings built from 1945 to 1965Houses12%Percentage2026
% Dwellings built from 1965 to 1975Houses10%Percentage2026
% Dwellings built from 1975 to 1985Houses8%Percentage2026
% Dwellings built from 1985 to 1995Houses4.0%Percentage2026
% Dwellings built from 1995 to 2005Houses14%Percentage2026
% Dwellings built from 2005 to 2015Houses2.0%Percentage2026
% Dwellings built from 2015 to 2025Houses0.0%Percentage2026
% Dwellings built from 2025 onwardsHouses3,790Average in kWh2024
% Dwellings unknown year of builtHouses1,850Average in kWh2024
Average electricity supply per homeEnergyno dataPercentageno data
Average electricity feed-inEnergy10%Percentage2024
% Homes with solar powerEnergy2,250Average in kWh2023
% Homes primarily heated by electricityEnergy2,580Average in kWh2023
Average electricity usage apartmentEnergy2,530Average in kWh2023
Average electricity usage terraced homesEnergy3,210Average in kWh2023
Average electricity usage corner homesEnergy4,260Average in kWh2023
Average electricity usage semi-detached homesEnergy2,570Average in kWh2023
Average electricity usage detached homesEnergy3,950Average in kWh2023
Average electricity usage owner-occupied homesEnergy1,200Average per m³2024
Average electricity usage rental homesEnergy0%Percentage2014
Average natural gas usage totalEnergy3%Percentage2024
% Homes with district heatingEnergy89%Percentage2024
% Natural gas-free homesEnergy600Average per m³2023
% Natural gas homesEnergy840Average per m³2023
Average natural gas usage apartmentEnergy990Average per m³2023
Average natural gas usage terraced homesEnergy1,060Average per m³2023
Average natural gas usage corner homesEnergy1,470Average per m³2023
Average natural gas usage semi-detached homesEnergy1,300Average per m³2023
Average natural gas usage detached homesEnergy1,070Average per m³2023
Average natural gas usage owner-occupied homesEnergy270Number2024
Average natural gas usage rental homesEnergy55Number2024
Businesses totalBusiness55Number2024
Businesses agriculture, forestry, fishingBusiness40Number2024
Businesses industry and energyBusiness10Number2024
Businesses trade and cateringBusiness15Number2024
Businesses transport, information, communicationBusiness45Number2024
Businesses financial services, real estateBusiness25Number2024
Businesses business servicesBusiness20Number2024
Government, education, careBusiness21%Percentage2024
Businesses culture, recreation, other servicesBusiness21%Percentage2024
% Businesses agriculture, forestry, fishingBusiness15%Percentage2024
% Businesses industry and energyBusiness3.77%Percentage2024
% Businesses trade and cateringBusiness5.7%Percentage2024
% Businesses transport, information, communicationBusiness17%Percentage2024
% Businesses financial services, real estateBusiness9.4%Percentage2024
% Businesses business servicesBusiness7.5%Percentage2024
% Government, education, careBusiness885Number2025
% Businesses culture, recreation, other servicesBusiness625Number2025
Passenger cars totalTransport260Number2025
Passenger cars petrolTransport1.4Number2025
Passenger cars other fuelTransport50Number2025
Passenger cars per householdTransport95Number2025
Passenger cars per surfaceTransportno dataNumberno data
MotorcyclesTransport1,855Number of hectares2025
Public charging stationsTransport1,784Number of hectares2025
Surface totalRegional70Number of hectares2025
Surface landRegional81Number per km²2025
Surface waterRegional5Indicator 1-52025
Population densityRegional104Average number per km²2025
Address densityRegional23Number2025
Change in classification of neighborhoodsnan8Number2025
Crime totalCrime2Number2025
Crime theftCrime0Number2025
Crime violence and sexual abuseCrime7Number2025
Crime environmentalCrime4Number2025
Crime scamCrime1Number2025
Crime trafficCrime1Number2025
Crime destructionCrime16Number per 1,000 inhabitants2025
Crime otherCrime6Number per 1,000 inhabitants2025
Crime theftCrime1Number per 1,000 inhabitants2025
Crime theftCrime0Number per 1,000 inhabitants2025
Crime violence and sexual abuseCrime5Number per 1,000 inhabitants2025
Crime environmentalCrime3Number per 1,000 inhabitants2025
Crime scamCrime1Number per 1,000 inhabitants2025
Crime trafficCrime1Number per 1,000 inhabitants2025
Crime destructionCrime7Number2024
Crime otherCrime6Number2024
Traffic accidents totalTraffic accidents1Number2024
Traffic accidents only material damageTraffic accidents0Number2024
Traffic accidents injuriesTraffic accidents674Number2026
Traffic accidents deadlyTraffic accidents665Number2026
Addresses totalRegional617Number2026
Addresses with postal codeRegional12Number2026
Addresses with residential functionRegional0Number2026
Addresses with meeting functionRegional0Number2026
Addresses with cell functionRegional56Number2026
Addresses with healthcare functionRegional1Number2026
Addresses with industrial functionRegional11Number2026
Addresses with office functionRegional1Number2026
Addresses with lodging functionRegional1Number2026
Addresses with educational functionRegional1Number2026
Addresses with sports functionRegional10Number2026
Addresses with retail functionRegional674Number2026
Addresses with other usage functionRegional0Number2026
Residential objectsRegional0Number2026
Berth locationsRegional644Number2026
Stand locationsRegional672Number2026
Buildings with addressRegional558Number2026
Addresses with buildingRegional674Number2026
Parcels with addressRegional461Number2026
Addresses with parcelRegional213Number2026
Addresses within built-up areaRegional442Number2026
Addresses outside built-up areaRegional175Number2026
Addresses with residential function within built-up areaRegional0Number2026
Addresses with residential function outside built-up areaRegional31Number2026
Buildings before 1700Regional32Number2026
Buildings 1700 to 1900Regional34Number2026
Buildings 1900 to 1925Regional160Number2026
Buildings 1925 to 1950Regional112Number2026
Buildings 1950 to 1970Regional89Number2026
Buildings 1970 to 1980Regional49Number2026
Buildings 1980 to 1990Regional26Number2026
Buildings 1990 to 2000Regional56Number2026
Buildings 2000 to 2010Regional55Number2026
Buildings 2010 to 2020Regional0Number2026
Buildings 2020 and laterRegional32Number2026
Buildings built before 1700Regional33Number2026
Buildings built from 1700 to 1900Regional34Number2026
Buildings built from 1900 to 1925Regional166Number2026
Buildings built from 1925 to 1950Regional112Number2026
Buildings built from 1950 to 1970Regional89Number2026
Buildings built from 1970 to 1980Regional60Number2026
Buildings built from 1980 to 1990Regional35Number2026
Buildings built from 1990 to 2000Regional56Number2026
Buildings built from 2000 to 2010Regional55Number2026
Buildings built from 2010 to 2020Regional83Number2026
Buildings built from 2020 onwardsRegional269Number2026
Undetermined energy labelEnergy consumption322Number2026
Provisional energy labelEnergy consumption0Number2026
Final energy labelsEnergy consumption0Number2026
Energy label A+++++Energy consumption24Number2026
Energy label A++++Energy consumption4Number2026
Energy label A+++Energy consumption3Number2026
Energy label A++Energy consumption118Number2026
Energy label A+Energy consumption71Number2026
Energy label AEnergy consumption140Number2026
Energy label BEnergy consumption75Number2026
Energy label CEnergy consumption24Number2026
Energy label DEnergy consumption72Number2026
Energy label EEnergy consumption60Number2026
Energy label FEnergy consumption5398CA-5398KNName2026
nanType of house number range5398Name2026
nanNumber of public space100%Percentage2026
Most common zipcodeRegional4.3Average distance in km2024
Coverage percentage most common zipcodeRegional0.0Average number2024
Distance to general practitionerProximity0.0Average number2024
General practitioners within 1 kmProximity0.9Average number2024
General practitioners within 3 kmProximity17Average distance in km2024
General practitioners within 5 kmProximity4.5Average distance in km2024
Distance to general practitioner postProximity11Average distance in km2024
Pharmacy distanceProximity0.0Average number2024
Hospital with outpatient clinic distanceProximity0.3Average number2024
Hospitals with outpatient clinic within 5 kmProximity7Average number2024
Hospitals with outpatient clinic within 10 kmProximity17Average distance in km2024
Hospitals with outpatient clinic within 20 kmProximity0.0Average number2024
Hospital distanceProximity0.0Average number2024
Hospitals within 5 kmProximity1.0Average number2024
Hospitals within 10 kmProximity4.3Average distance in km2024
Hospitals within 20 kmProximity0.0Average number2024
Large supermarket distanceProximity0.0Average number2024
Large supermarkets within 1 kmProximity0.9Average number2024
Large supermarkets within 3 kmProximity4.2Average distance in km2024
Large supermarkets within 5 kmProximity0.0Average number2024
Other daily groceries distanceProximity0.1Average number2024
Other daily groceries within 1 kmProximity1.8Average number2024
Other daily groceries within 3 kmProximity8.8Average distance in km2024
Other daily groceries within 5 kmProximity0.0Average number2024
Department store distanceProximity1.1Average number2024
Department stores within 5 kmProximity11Average number2024
Department stores within 10 kmProximity4.0Average distance in km2024
Department stores within 20 kmProximity0.0Average number2024
Cafe distanceProximity0.1Average number2024
Cafes within 1 kmProximity1.3Average number2024
Cafes within 3 kmProximity4.0Average distance in km2024
Cafes within 5 kmProximity0.0Average number2024
Snack bar distanceProximity0.2Average number2024
Snack bars within 1 kmProximity2.6Average number2024
Snack bars within 3 kmProximity3.5Average distance in km2024
Snack bars within 5 kmProximity0.1Average number2024
Restaurant distanceProximity0.3Average number2024
Restaurants within 1 kmProximity2.1Average number2024
Restaurants within 3 kmProximity1.6Average distance in km2024
Restaurants within 5 kmProximity1.0Average number2024
Hotel distanceProximity3.1Average number2024
Hotels within 5 kmProximity36Average number2024
Hotels within 10 kmProximity1.0Average distance in km2024
Hotels within 20 kmProximity0.6Average number2024
Daycare distanceProximity1.0Average number2024
Daycares within 1 kmProximity2.5Average number2024
Daycares within 3 kmProximity1.0Average distance in km2024
Daycares within 5 kmProximity0.6Average number2024
After-school care distanceProximity1.0Average number2024
After-school care within 1 kmProximity2.8Average number2024
After-school care within 3 kmProximity1.2Average distance in km2024
After-school care within 5 kmProximity0.6Average number2024
Primary education distanceProximity0.9Average number2024
Primary education within 1 kmProximity2.1Average number2024
Primary education within 3 kmProximity11Average distance in km2024
Primary education within 5 kmProximity0.0Average number2024
Secondary education total distanceProximity0.0Average number2024
Secondary education total within 3 kmProximity0.6Average number2024
Secondary education total within 5 kmProximity11Average distance in km2024
Secondary education total within 10 kmProximity0.0Average number2024
Secondary education VMBO distanceProximity0.0Average number2024
Secondary education VMBO within 3 kmProximity0.6Average number2024
Secondary education VMBO within 5 kmProximity11Average distance in km2024
Secondary education VMBO within 10 kmProximity0.0Average number2024
Secondary education HAVO VWO distanceProximity0.0Average number2024
Secondary education HAVO VWO within 3 kmProximity0.3Average number2024
Secondary education HAVO VWO within 5 kmProximity1.0Average distance in km2017
Secondary education HAVO VWO within 10 kmProximity4.2Average distance in km2017
Public green space total distanceProximity1.6Average distance in km2017
Park or garden distanceProximity1.4Average distance in km2017
Day recreational area distanceProximity1.6Average distance in km2017
Forest distanceProximity1.8Average distance in km2017
Open natural area total distanceProximity3.5Average distance in km2017
Open dry natural area distanceProximity1.2Average distance in km2017
Open wet natural area distanceProximity1.3Average distance in km2017
Semi-public green space total distanceProximity9.6Average distance in km2017
Sports field distanceProximity2.8Average distance in km2017
Allotment garden distanceProximity8.4Average distance in km2017
Residential recreational area distanceProximity2.0Average distance in km2017
Cemetery distanceProximity0.4Average distance in km2024
Recreational inland water distanceProximity10Average distance in km2024
Main road access distanceProximity15Average distance in km2024
Train station distanceProximity4.6Average distance in km2024
Major transfer station distanceProximity8.4Average distance in km2024
Library distanceProximity14Average distance in km2024
Swimming pool distanceProximity11Average distance in km2024
Artificial ice rink distanceProximity0.0Average number2024
Performing arts distanceProximity0.0Average number2024
Performing arts within 5 kmProximity8.7Average number2024
Performing arts within 10 kmProximity11Average distance in km2024
Performing arts within 20 kmProximity11Average distance in km2024
Pop venue distanceProximity0.0Average number2024
Cinema distanceProximity0.0Average number2024
Cinemas within 5 kmProximity3.0Average number2024
Cinemas within 10 kmProximity8.9Average distance in km2024
Cinemas within 20 kmProximity10Average distance in km2024
Sauna distanceProximity11Average distance in km2024
Tanning salon distanceProximity0.0Average number2024
Museum distanceProximity0.0Average number2024
Museums within 5 kmProximity12Average number2024
Museums within 10 kmProximity12Average distance in km2024
Museums within 20 kmProximity0.1Average number2024
Attraction distanceProximity4.3Average number2024
Attractions within 10 kmProximity44Average number2024
Attractions within 20 kmProximity4.3Average distance in km2024

Table with more than 250 topics for the borough Maren-Kessel.

👆 The table above shows the latest available data for the borough Maren-Kessel for over 250 topics. The most recent update of the data was done at January 15th, 2026. The rows are sorted by category and subject.

Table usage:

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Download and data sources
Download as Excel datasets and open data sources used

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.)

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

Sources & definitions