Statistics neighbourhood Maren-Kessel

Statistics neighbourhood Maren-Kessel

Check out data on over 250 topics about the neighbourhood 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 neighbourhood 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 neighbourhood Maren-Kessel on the Dutch version of this page at AlleCijfers.nl.

Population per year
The neighbourhood Maren-Kessel has 765 inhabitants in 2025.

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


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

JaarPopulation Neighbourhood Maren-Kessel% difference
20257652,68%
2024745-0,67%
2023750-0,66%
20227554,86%
20217200,7%
20207150,0%
20197150,28%
20187130,56%
20177094,11%
20166811,34%
2015672-2,75%
20146911,32%
2013682geen data

The population of the neighbourhood Maren-Kessel has changed with 83 persons from 682 persons in 2013 to 765 persons in 2025 (that is a change of 12%). The average difference per year over the entire period from 2013 to 2025 was 7 persons (0,98%). The development of the data over time follows a slightly increasing trend: The numbers grow more often than not.

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 neighbourhood Maren-Kessel
Map of the surroundings of the neighbourhood Maren-Kessel.
Image of the neighbourhood 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 neighbourhood 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 341 houses in de buurt 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 neighbourhood 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 neighbourhood Maren-Kessel
The average property value in The neighbourhood Maren-Kessel was €405.000 in 2025.

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


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

JaarAverage property value Neighbourhood Maren-Kessel% difference
2025€405.0004,11%
2024€389.0003,73%
2023€375.00018%
2022€319.00013%
2021€283.0003,66%
2020€273.0002,8%
2019€265.55518%
2018€225.6642,99%
2017€219.1091,3%
2016€216.300-1,7%
2015€220.045-4,86%
2014€231.282-7,1%
2013€249.073geen data

The average property value in the neighbourhood Maren-Kessel has changed with €155.927 from €249.073 in 2013 to €405.000 in 2025 (that is a change of 63%). The average difference per year over the entire period from 2013 to 2025 was €12.994 (4,4%). The development of the data over time follows a clearly increasing trend: The numbers increase 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 Neighbourhood Maren-Kessel: there are 111 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 neighbourhood 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 Neighbourhood Maren-Kessel are C (90 addresses) and A (87 addresses).
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The chart above shows the number of addresses per type of energy label in the neighbourhood 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 Neighbourhood Maren-Kessel: 90 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 2 traffic accidents in total in Neighbourhood Maren-Kessel in 2024.

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The above graph shows the development of the number of traffic accidents in the neighbourhood 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 neighbourhood Maren-Kessel in 2024.

Outcome of traffic accidentsNumber of traffic accidents in 2024
Total2
Material damage2
Personal injury0
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 neighbourhood 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 neighbourhood 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 9 crimes were registered in Neighbourhood Maren-Kessel.
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Total number of registered crimes in the neighbourhood 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 neighbourhood Maren-Kessel a total of 150 crimes have been registered from 2012 to 2025. These crimes are classified into 21 different types of crime. In 2025 the police recorded 9 crimes in the neighbourhood 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 Neighbourhood Maren-Kessel in 2025 are Horizontal fraud (4 crimes) en Theft from/of public transport vehicles (1 crimes).
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Number of crimes for the 6 types of crimes as registered in 2025 in the neighbourhood Maren-Kessel.

Crime definitions (Dutch)
Total crime per month
In December 2025 no crimes were registered in Neighbourhood Maren-Kessel.
Image of a heatmap (a visual representation of data using colors to represent values) showing the total number of crimes in the neighbourhood 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 neighbourhood 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 5 crimes per 1,000 inhabitants of the type ‘diefstal’ in 2025 in Neighbourhood Maren-Kessel.
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Crime: number of crimes per 1,000 inhabitants in 2025 in the neighbourhood Maren-Kessel.

The chart shows the latest data on the number of crimes per 1,000 inhabitants for the neighbourhood 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
7 babies per 1,000 inhabitants were born in 2024 in Neighbourhood Maren-Kessel.
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The chart above shows the development of the number of live babies born per 1,000 inhabitants the neighbourhood 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 neighbourhood 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
3 people per 1,000 inhabitants died in 2024 in Neighbourhood Maren-Kessel.
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The graph above shows the development of the number of deaths per 1,000 inhabitants the neighbourhood 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 codeRegionalBU08282100Code2025
Region nameRegionalMaren-KesselName2025
Region typeRegionalBuurtCategorical type2025
Sort codeRegional08282100Code2025
InhabitantsPopulation765Number2025
MenPopulation385Number2025
WomenPopulation380Number2025
Ages 0 - 15Population100Number2025
Ages 15 - 25Population75Number2025
Ages 25 - 45Population190Number2025
Ages 45 - 65Population230Number2025
Ages 65 and upPopulation160Number2025
Not marriedPopulation330Number2025
MarriedPopulation340Number2025
DivorcedPopulation55Number2025
WidowedPopulation30Number2025
% MenPopulation50%Percentage2025
% WomenPopulation50%Percentage2025
% Ages 0 - 15Population13%Percentage2025
% Ages 15 - 25Population9.9%Percentage2025
% Ages 25 - 45Population25%Percentage2025
% Ages 45 - 65Population30%Percentage2025
% Ages 65 and upPopulation21%Percentage2025
% Not marriedPopulation44%Percentage2025
% MarriedPopulation45%Percentage2025
% DivorcedPopulation7.3%Percentage2025
% WidowedPopulation3.97%Percentage2025
Births totalPopulation5Number2024
Births relativePopulation7Number per 1,000 inhabitants2024
Mortality totalPopulation0Number2024
Mortality relativePopulation3Number per 1,000 inhabitants2024
Origin NetherlandsMigration670Number2025
Origin outside NetherlandsMigration95Number2025
Origin EuropeMigration60Number2025
Origin outside EuropeMigration35Number2025
% Origin NetherlandsMigration88%Percentage2025
% Origin outside NetherlandsMigration12%Percentage2025
% Origin EuropeMigration7.8%Percentage2025
% Origin outside EuropeMigration4.58%Percentage2025
Born in Netherlands origin NetherlandsMigration670Number2025
Born in Netherlands origin EuropeMigration20Number2025
Born in Netherlands origin outside EuropeMigration15Number2025
Born in NetherlandsMigration35Number2025
Born in NetherlandsMigration705Number2025
Born outside Netherlands origin EuropeMigration40Number2025
Born outside Netherlands origin outside EuropeMigration20Number2025
Born outside NetherlandsMigration60Number2025
% Born in Netherlands origin NetherlandsMigration88%Percentage2025
% Born in Netherlands origin EuropeMigration2.61%Percentage2025
% Born in Netherlands origin outside EuropeMigration4.58%Percentage2025
% Born in NetherlandsMigration1.96%Percentage2025
% Born in NetherlandsMigration92%Percentage2025
% Born outside Netherlands origin EuropeMigration5.2%Percentage2025
% Born outside Netherlands origin outside EuropeMigration2.61%Percentage2025
% Born outside NetherlandsMigration7.8%Percentage2025
Native DutchMigration675Number2022
Western totalMigration50Number2022
Non-western totalMigration30Number2022
Dutch Antilles and ArubaMigration0Number2022
MoroccoMigration0Number2022
SurinameMigration5Number2022
TurkeyMigration0Number2022
Other non-westernMigration25Number2022
Primary school pupils Education50Number2024
Secondary school pupils Education30Number2024
Secondary vocational education students (MBO) Education20Number2024
Higher professional education students (HBO) Education10Number2024
University students (WO) Education0Number2024
Practical education level Education160Number2023
Intermediate education level Education270Number2023
Theoretical education level Education130Number2023
% Practical education level Education29%Percentage2023
% Intermediate education level Education48%Percentage2023
% Theoretical education level Education23%Percentage2023
Households Households335Number2025
Single-person households Households100Number2025
Multi-person households Households235Number2025
Multi-person households without children Households110Number2025
Multi-person households with children Households120Number2025
% Single-person households Households30%Percentage2025
% Multi-person households Households70%Percentage2025
% Multi-person households without children Households33%Percentage2025
% Multi-person households with children Households36%Percentage2025
Average household size Households2.3Average number2025
Employed labour force Income430Number2023
Net labor participationIncome76%Percentage2023
% EmployeesIncome82%Percentage2023
% Employees with permanent contractsIncome63%Percentage2023
% Employees with flexible contractsIncome19%Percentage2023
% Self-employedIncome18%Percentage2023
Income receivers per 1,000 inhabitantsIncome600Number2024
Income receiversIncome805Number per 1,000 inhabitants2024
Average income per income recipientIncome€37,700Average in euro2023
Average income per inhabitantIncome€31,400Average in euro2023
40% persons with lowest incomeIncome36%Percentage2024
20% persons with highest incomeIncome19%Percentage2024
% persons Income1.1%Percentage2024
% persons Income4.9%Percentage2024
Average standardized household incomeIncome€38,200euro2023
40% households with lowest incomeIncome30%Percentage2024
20% households with highest incomeIncome26%Percentage2024
Households with a low incomeIncome0.6%Percentage2023
% Households at social minimumIncome3.5%Percentage2023
Households up to 110% of the social minimumIncome6.1%Percentage2023
Households up to 120% of the social minimumIncome7.7%Percentage2023
Median capital assets of private householdsIncome€232,400euro2024
Persons with social security welfareIncome10Number2024
Persons with social security for incapacity for workIncome40Number2024
Persons with social security for unemployedIncome0Number2024
Persons with social security for elderlyIncome140Number2024
Persons with social security welfareIncome1%Percentage2024
Persons with social security for incapacity for workIncome5%Percentage2024
Persons with social security for unemployedIncome0%Percentage2024
Persons with social security for elderlyIncome19%Percentage2024
Young people with youth care in kindPopulation20Number2024
% Young people with youth carePopulation13%Percentage2024
Wmo clientsPopulation60Number2024
Wmo clients relativePopulation78Number per 1,000 inhabitants2024
Housing stockHouses341Number2025
Houses per 1,000 inhabitantsHouses446Number per 1,000 inhabitants2025
Newly built dwellingsHouses22Number2024
Non-dwelling stockHouses16Number2025
Newly built non-dwellingsHouses0Number2024
Average house valueHouses€405,000Average in euro2025
House value classHouses€400.000 tot €500.000Categorical type2025
nannan321Number2025
nannan20Number2025
Privately owned homesHouses228Number2025
Rented homesHouses113Number2025
Rental-housing by corporationHouses95Number2025
Homes other rentalHouses18Number2025
Ownership unknownHouses0Number2025
Single-family housesHouses327Number2025
Multi-family housesHouses14Number2025
InhabitedHouses67%Percentage2025
UninhabitedHouses33%Percentage2025
% Privately owned homesHouses28%Percentage2025
% Rented homesHouses5%Percentage2025
% Rental-housing by corporationHouses0%Percentage2025
% Homes other rentalHouses94%Percentage2025
% Ownership unknownHouses6%Percentage2025
% Single-family housesHouses96%Percentage2025
% Multi-family housesHouses4%Percentage2025
% InhabitedHouses22Number2026
% UninhabitedHouses66Number2026
ApartmentsHouses52Number2026
Terraced housesHouses102Number2026
Corner dwelling typeHouses111Number2026
Semi-detached housesHouses0Number2026
Detached housesHouses6%Percentage2026
Unknown dwelling typeHouses19%Percentage2026
% Apartment dwelling typeHouses15%Percentage2026
% Terraced or linked dwelling typeHouses29%Percentage2026
% Corner dwelling typeHouses31%Percentage2026
% Semi-detached dwelling typeHouses0.0%Percentage2026
% Detached dwelling typeHouses0Number2026
% Unknown dwelling typeHouses56Number2026
Dwellings built before 1945Houses92Number2026
Dwellings built from 1945 to 1965Houses34Number2026
Dwellings built from 1965 to 1975Houses41Number2026
Dwellings built from 1975 to 1985Houses35Number2026
Dwellings built from 1985 to 1995Houses13Number2026
Dwellings built from 1995 to 2005Houses74Number2026
Dwellings built from 2005 to 2015Houses8Number2026
Dwellings built from 2015 to 2025Houses0Number2026
Dwellings built from 2025 onwardsHouses0.0%Percentage2026
Dwellings unknown year of builtHouses16%Percentage2026
% Dwellings built before 1945Houses26%Percentage2026
% Dwellings built from 1945 to 1965Houses10%Percentage2026
% Dwellings built from 1965 to 1975Houses12%Percentage2026
% Dwellings built from 1975 to 1985Houses10%Percentage2026
% Dwellings built from 1985 to 1995Houses4.0%Percentage2026
% Dwellings built from 1995 to 2005Houses21%Percentage2026
% Dwellings built from 2005 to 2015Houses2.0%Percentage2026
% Dwellings built from 2015 to 2025Houses0.0%Percentage2026
% Dwellings built from 2025 onwardsHouses3,480Average in kWh2024
% Dwellings unknown year of builtHouses1,340Average in kWh2024
Average electricity supply per homeEnergyno dataPercentageno data
Average electricity feed-inEnergy10%Percentage2024
% Homes with solar powerEnergy2,080Average in kWh2023
% Homes primarily heated by electricityEnergy2,480Average in kWh2023
Average electricity usage apartmentEnergy2,540Average in kWh2023
Average electricity usage terraced homesEnergy3,160Average in kWh2023
Average electricity usage corner homesEnergy4,260Average in kWh2023
Average electricity usage semi-detached homesEnergy2,070Average in kWh2023
Average electricity usage detached homesEnergy3,740Average in kWh2023
Average electricity usage owner-occupied homesEnergy990Average per m³2024
Average electricity usage rental homesEnergy0%Percentage2014
Average natural gas usage totalEnergy4%Percentage2024
% Homes with district heatingEnergy90%Percentage2024
% Natural gas-free homesEnergy490Average per m³2023
% Natural gas homesEnergy830Average per m³2023
Average natural gas usage apartmentEnergy970Average per m³2023
Average natural gas usage terraced homesEnergy990Average per m³2023
Average natural gas usage corner homesEnergy1,290Average per m³2023
Average natural gas usage semi-detached homesEnergy1,090Average per m³2023
Average natural gas usage detached homesEnergy870Average per m³2023
Average natural gas usage owner-occupied homesEnergy105Number2024
Average natural gas usage rental homesEnergy5Number2024
Businesses totalBusiness35Number2024
Businesses agriculture, forestry, fishingBusiness15Number2024
Businesses industry and energyBusiness5Number2024
Businesses trade and cateringBusiness5Number2024
Businesses transport, information, communicationBusiness20Number2024
Businesses financial services, real estateBusiness10Number2024
Businesses business servicesBusiness10Number2024
Government, education, careBusiness4.76%Percentage2024
Businesses culture, recreation, other servicesBusiness33%Percentage2024
% Businesses agriculture, forestry, fishingBusiness14%Percentage2024
% Businesses industry and energyBusiness4.76%Percentage2024
% Businesses trade and cateringBusiness4.76%Percentage2024
% Businesses transport, information, communicationBusiness19%Percentage2024
% Businesses financial services, real estateBusiness9.5%Percentage2024
% Businesses business servicesBusiness9.5%Percentage2024
% Government, education, careBusiness450Number2025
% Businesses culture, recreation, other servicesBusiness335Number2025
Passenger cars totalTransport115Number2025
Passenger cars petrolTransport1.34Number2025
Passenger cars other fuelTransport776Number2025
Passenger cars per householdTransport50Number2025
Passenger cars per surfaceTransportno dataNumberno data
MotorcyclesTransport58Number of hectares2025
Public charging stationsTransport58Number of hectares2025
Surface totalRegional0Number of hectares2025
Surface landRegional1,319Number per km²2025
Surface waterRegional5Indicator 1-52025
Population densityRegional137Average number per km²2025
Address densityRegional9Number2025
Change in classification of neighborhoodsnan4Number2025
Crime totalCrime0Number2025
Crime theftCrime0Number2025
Crime violence and sexual abuseCrime4Number2025
Crime environmentalCrime0Number2025
Crime scamCrime0Number2025
Crime trafficCrime1Number2025
Crime destructionCrime12Number per 1,000 inhabitants2025
Crime otherCrime5Number per 1,000 inhabitants2025
Crime theftCrime0Number per 1,000 inhabitants2025
Crime theftCrime0Number per 1,000 inhabitants2025
Crime violence and sexual abuseCrime5Number per 1,000 inhabitants2025
Crime environmentalCrime0Number per 1,000 inhabitants2025
Crime scamCrime0Number per 1,000 inhabitants2025
Crime trafficCrime1Number per 1,000 inhabitants2025
Crime destructionCrime2Number2024
Crime otherCrime2Number2024
Traffic accidents totalTraffic accidents0Number2024
Traffic accidents only material damageTraffic accidents0Number2024
Traffic accidents injuriesTraffic accidents369Number2026
Traffic accidents deadlyTraffic accidents366Number2026
Addresses totalRegional353Number2026
Addresses with postal codeRegional9Number2026
Addresses with residential functionRegional0Number2026
Addresses with meeting functionRegional0Number2026
Addresses with cell functionRegional3Number2026
Addresses with healthcare functionRegional0Number2026
Addresses with industrial functionRegional0Number2026
Addresses with office functionRegional1Number2026
Addresses with lodging functionRegional1Number2026
Addresses with educational functionRegional1Number2026
Addresses with sports functionRegional3Number2026
Addresses with retail functionRegional369Number2026
Addresses with other usage functionRegional0Number2026
Residential objectsRegional0Number2026
Berth locationsRegional347Number2026
Stand locationsRegional369Number2026
Buildings with addressRegional275Number2026
Addresses with buildingRegional369Number2026
Parcels with addressRegional357Number2026
Addresses with parcelRegional12Number2026
Addresses within built-up areaRegional348Number2026
Addresses outside built-up areaRegional5Number2026
Addresses with residential function within built-up areaRegional0Number2026
Addresses with residential function outside built-up areaRegional0Number2026
Buildings before 1700Regional0Number2026
Buildings 1700 to 1900Regional7Number2026
Buildings 1900 to 1925Regional97Number2026
Buildings 1925 to 1950Regional61Number2026
Buildings 1950 to 1970Regional64Number2026
Buildings 1970 to 1980Regional28Number2026
Buildings 1980 to 1990Regional6Number2026
Buildings 1990 to 2000Regional46Number2026
Buildings 2000 to 2010Regional38Number2026
Buildings 2010 to 2020Regional0Number2026
Buildings 2020 and laterRegional0Number2026
Buildings built before 1700Regional0Number2026
Buildings built from 1700 to 1900Regional7Number2026
Buildings built from 1900 to 1925Regional99Number2026
Buildings built from 1925 to 1950Regional61Number2026
Buildings built from 1950 to 1970Regional64Number2026
Buildings built from 1970 to 1980Regional39Number2026
Buildings built from 1980 to 1990Regional15Number2026
Buildings built from 1990 to 2000Regional46Number2026
Buildings built from 2000 to 2010Regional38Number2026
Buildings built from 2010 to 2020Regional30Number2026
Buildings built from 2020 onwardsRegional121Number2026
Undetermined energy labelEnergy consumption218Number2026
Provisional energy labelEnergy consumption0Number2026
Final energy labelsEnergy consumption0Number2026
Energy label A+++++Energy consumption23Number2026
Energy label A++++Energy consumption4Number2026
Energy label A+++Energy consumption3Number2026
Energy label A++Energy consumption87Number2026
Energy label A+Energy consumption41Number2026
Energy label AEnergy consumption90Number2026
Energy label BEnergy consumption42Number2026
Energy label CEnergy consumption11Number2026
Energy label DEnergy consumption35Number2026
Energy label EEnergy consumption3Number2026
Energy label FEnergy consumption5398GA-5398JLName2026
nanType of house number range5398Name2026
nanNumber of public space100%Percentage2026
Most common zipcodeRegional4.1Average distance in km2024
Coverage percentage most common zipcodeRegional0.0Average number2024
Distance to general practitionerProximity0.0Average number2024
General practitioners within 1 kmProximity1.0Average number2024
General practitioners within 3 kmProximity18Average distance in km2024
General practitioners within 5 kmProximity4.1Average distance in km2024
Distance to general practitioner postProximity12Average distance in km2024
Pharmacy distanceProximity0.0Average number2024
Hospital with outpatient clinic distanceProximity0.0Average number2024
Hospitals with outpatient clinic within 5 kmProximity7Average number2024
Hospitals with outpatient clinic within 10 kmProximity18Average 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 kmProximity4.1Average distance in km2024
Hospitals within 20 kmProximity0.0Average number2024
Large supermarket distanceProximity0.0Average number2024
Large supermarkets within 1 kmProximity1.0Average number2024
Large supermarkets within 3 kmProximity4.0Average distance in km2024
Large supermarkets within 5 kmProximity0.0Average number2024
Other daily groceries distanceProximity0.0Average number2024
Other daily groceries within 1 kmProximity2.0Average number2024
Other daily groceries within 3 kmProximity9.3Average distance in km2024
Other daily groceries within 5 kmProximity0.0Average number2024
Department store distanceProximity1.0Average number2024
Department stores within 5 kmProximity11Average number2024
Department stores within 10 kmProximity4.0Average distance in km2024
Department stores within 20 kmProximity0.0Average number2024
Cafe distanceProximity0.0Average number2024
Cafes within 1 kmProximity1.2Average number2024
Cafes within 3 kmProximity3.9Average distance in km2024
Cafes within 5 kmProximity0.0Average number2024
Snack bar distanceProximity0.0Average number2024
Snack bars within 1 kmProximity3.0Average number2024
Snack bars within 3 kmProximity4.2Average distance in km2024
Snack bars within 5 kmProximity0.0Average number2024
Restaurant distanceProximity0.0Average number2024
Restaurants within 1 kmProximity2.1Average number2024
Restaurants within 3 kmProximity1.2Average distance in km2024
Restaurants within 5 kmProximity1.0Average number2024
Hotel distanceProximity3.0Average number2024
Hotels within 5 kmProximity35Average number2024
Hotels within 10 kmProximity0.3Average distance in km2024
Hotels within 20 kmProximity1.0Average number2024
Daycare distanceProximity1.0Average number2024
Daycares within 1 kmProximity2.1Average number2024
Daycares within 3 kmProximity0.3Average distance in km2024
Daycares within 5 kmProximity1.0Average number2024
After-school care distanceProximity1.0Average number2024
After-school care within 1 kmProximity3.0Average number2024
After-school care within 3 kmProximity0.3Average distance in km2024
After-school care within 5 kmProximity1.0Average number2024
Primary education distanceProximity1.0Average number2024
Primary education within 1 kmProximity2.1Average number2024
Primary education within 3 kmProximity12Average distance in km2024
Primary education within 5 kmProximity0.0Average number2024
Secondary education total distanceProximity0.0Average number2024
Secondary education total within 3 kmProximity0.0Average number2024
Secondary education total within 5 kmProximity12Average distance in km2024
Secondary education total within 10 kmProximity0.0Average number2024
Secondary education VMBO distanceProximity0.0Average number2024
Secondary education VMBO within 3 kmProximity0.0Average number2024
Secondary education VMBO within 5 kmProximity12Average distance in km2024
Secondary education VMBO within 10 kmProximity0.0Average number2024
Secondary education HAVO VWO distanceProximity0.0Average number2024
Secondary education HAVO VWO within 3 kmProximity0.0Average number2024
Secondary education HAVO VWO within 5 kmProximity1.39Average distance in km2017
Secondary education HAVO VWO within 10 kmProximity4.14Average distance in km2017
Public green space total distanceProximity1.67Average distance in km2017
Park or garden distanceProximity1.59Average distance in km2017
Day recreational area distanceProximity1.44Average distance in km2017
Forest distanceProximity1.48Average distance in km2017
Open natural area total distanceProximity3.36Average distance in km2017
Open dry natural area distanceProximity0.63Average distance in km2017
Open wet natural area distanceProximity0.63Average distance in km2017
Semi-public green space total distanceProximity10Average distance in km2017
Sports field distanceProximity2.34Average distance in km2017
Allotment garden distanceProximity8.7Average distance in km2017
Residential recreational area distanceProximity1.62Average distance in km2017
Cemetery distanceProximity0.3Average distance in km2024
Recreational inland water distanceProximity11Average distance in km2024
Main road access distanceProximity16Average distance in km2024
Train station distanceProximity4.1Average distance in km2024
Major transfer station distanceProximity8.6Average 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 kmProximity8.6Average 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 kmProximity11Average distance in km2024
Sauna distanceProximity12Average 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 kmProximity0.0Average number2024
Attraction distanceProximity4.0Average number2024
Attractions within 10 kmProximity43Average number2024
Attractions within 20 kmProximity3.9Average distance in km2024

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

👆 The table above shows the latest available data for the neighbourhood 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