Statistics borough Monster

Statistics borough Monster

Check out data on over 250 topics about the borough Monster in municipality Westland. 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 Monster in municipality Westland. 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 Monster on the Dutch version of this page at AlleCijfers.nl.

Population per year
The borough Monster has 14.390 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 Monster.


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

JaarPopulation Borough Monster% difference
202514.390-0,28%
202414.4300,14%
202314.4101,77%
202214.1600,35%
202114.1100,93%
202013.980-0,11%
201913.9950,0%
201813.9950,68%
201713.9001,5%
201613.695-0,25%
201513.7300,0%
201413.730-0,79%
201313.840geen data

Het number of inhabitants in the borough Monster has changed with 550 persons from 13.840 persons in 2013 to 14.390 persons in 2025 (that is a change of 3,97%). The average difference per year over the entire period from 2013 to 2025 was 46 persons (0,33%).

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 Monster
Map of the surroundings of the borough Monster.
Image of the borough Monster 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 Monster (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 Monster with the population per neighbourhood in 2025. The numbers at the map represent the following neighbourhoods: 1: Kust Monster, 2: Westlandse Zoom De Duinen, 3: Westerhonk, 4: Polanen, 5: Kleine Geest en Molenwijk, 6: Zwartenhoek, 7: Grote Geest en Molenwijk, 8: Buitengebied Monster, 9: Monster Centrumgebied, 10: Bedrijventerrein Vlotlaan.

Regional overview

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House characteristics
There are 6,026 houses in de wijk Monster.
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 Monster:

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 Monster
The average property value in The borough Monster was €421.000 in 2024.

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The chart above shows the average WOZ property value per year in the borough Monster.


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

JaarAverage property value Borough Monster% difference
2024€421.0005,8%
2023€398.00011%
2022€357.0009,8%
2021€325.0008,3%
2020€300.0008,3%
2019€277.00010%
2018€251.0006,8%
2017€235.0003,98%
2016€226.0000,0%
2015€226.000-2,16%
2014€231.000-6,5%
2013€247.000geen data

The average property value in the borough Monster has changed with €174.000 from €247.000 in 2013 to €421.000 in 2024 (that is a change of 70%). The average difference per year over the entire period from 2013 to 2024 was €15.818 (5,1%). The development of the data over time follows a slightly increasing trend: The numbers grow more often than not.

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
Terraced houses is most common in Borough Monster: there are 2,710 addresses with house type terraced houses.
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The pie chart above shows the number and percentage of dwellings by type in the borough Monster.

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 juli 2025.

Energy labels
The most common energy labels in Borough Monster are C (2,002 addresses) and A (1,273 addresses).
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The chart above shows the number of addresses per type of energy label in the borough Monster. 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 July 1st, 2025.

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 Monster: 2,002 addresses have energy label C. The download with detailed information for the municipality Westland 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 58 traffic accidents in total in Borough Monster in 2024.

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The above graph shows the development of the number of traffic accidents in the borough Monster. 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 Monster in 2024.

Outcome of traffic accidentsNumber of traffic accidents in 2024
Total58
Material damage25
Personal injury33
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 Monster.

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 Monster. 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 November 17th, 2025.

Total recorded crime per month or per year
In 2024 a total of 333 crimes were registered in Borough Monster.
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Total number of registered crimes in the borough Monster, from 2012 to 2024 inclusive (when displaying the data per year) or May 2024 to October 2025 (when displaying the data per month).

In the borough Monster a total of 6,399 crimes have been registered from 2012 to 2024. These crimes are classified into 42 different types of crime. In 2024 the police recorded 333 crimes in the borough Monster. 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 Monster in 2024 are Horizontal fraud (61 crimes) en Theft of mopeds, scooters, bicycles (49 crimes).
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Number of crimes for the ten most common types of crimes, 2024, borough Monster.

Crime definitions (Dutch)
Total crime per month
In October 2025 a total of 26 crimes were registered in Borough Monster.
Image of a heatmap (a visual representation of data using colors to represent values) showing the total number of crimes in the borough Monster 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 Monster 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 Westland.

Crimes per 1,000 inhabitants
There were 10 crimes per 1,000 inhabitants of the type ‘diefstal’ in 2024 in Borough Monster.
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Crime: number of crimes per 1,000 inhabitants in 2024 in the borough Monster.

The chart shows the latest data on the number of crimes per 1,000 inhabitants for the borough Monster. 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
9 babies per 1,000 inhabitants were born in 2024 in Borough Monster.
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The chart above shows the development of the number of live babies born per 1,000 inhabitants the borough Monster.

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 Monster. 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
11 people per 1,000 inhabitants died in 2024 in Borough Monster.
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The graph above shows the development of the number of deaths per 1,000 inhabitants the borough Monster.

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 codeRegionalWK178305Code2025
Region nameRegionalMonsterName2025
Region typeRegionalWijkCategorical type2025
Sort codeRegional17830500Code2025
InhabitantsPopulation14,390Number2025
MenPopulation7,075Number2025
WomenPopulation7,320Number2025
Ages 0 - 15Population2,020Number2025
Ages 15 - 25Population1,685Number2025
Ages 25 - 45Population3,205Number2025
Ages 45 - 65Population4,270Number2025
Ages 65 and upPopulation3,210Number2025
Not marriedPopulation6,835Number2025
MarriedPopulation5,855Number2025
DivorcedPopulation1,010Number2025
WidowedPopulation690Number2025
% MenPopulation49%Percentage2025
% WomenPopulation51%Percentage2025
% Ages 0 - 15Population14%Percentage2025
% Ages 15 - 25Population12%Percentage2025
% Ages 25 - 45Population22%Percentage2025
% Ages 45 - 65Population30%Percentage2025
% Ages 65 and upPopulation22%Percentage2025
% Not marriedPopulation48%Percentage2025
% MarriedPopulation41%Percentage2025
% DivorcedPopulation7%Percentage2025
% WidowedPopulation4.79%Percentage2025
Births totalPopulation130Number2024
Births relativePopulation9Number per 1,000 inhabitants2024
Mortality totalPopulation160Number2024
Mortality relativePopulation11Number per 1,000 inhabitants2024
Origin NetherlandsMigration11,275Number2025
Origin outside NetherlandsMigration3,115Number2025
Origin EuropeMigration1,525Number2025
Origin outside EuropeMigration1,590Number2025
% Origin NetherlandsMigration78%Percentage2025
% Origin outside NetherlandsMigration22%Percentage2025
% Origin EuropeMigration11%Percentage2025
% Origin outside EuropeMigration11%Percentage2025
Born in Netherlands origin NetherlandsMigration11,275Number2025
Born in Netherlands origin EuropeMigration415Number2025
Born in Netherlands origin outside EuropeMigration755Number2025
Born in NetherlandsMigration1,170Number2025
Born in NetherlandsMigration12,445Number2025
Born outside Netherlands origin EuropeMigration1,110Number2025
Born outside Netherlands origin outside EuropeMigration830Number2025
Born outside NetherlandsMigration1,940Number2025
% Born in Netherlands origin NetherlandsMigration78%Percentage2025
% Born in Netherlands origin EuropeMigration2.88%Percentage2025
% Born in Netherlands origin outside EuropeMigration8.1%Percentage2025
% Born in NetherlandsMigration5.2%Percentage2025
% Born in NetherlandsMigration86%Percentage2025
% Born outside Netherlands origin EuropeMigration7.7%Percentage2025
% Born outside Netherlands origin outside EuropeMigration5.8%Percentage2025
% Born outside NetherlandsMigration13%Percentage2025
Native DutchMigration11,715Number2022
Western totalMigration1,475Number2022
Non-western totalMigration970Number2022
Dutch Antilles and ArubaMigration100Number2022
MoroccoMigration125Number2022
SurinameMigration155Number2022
TurkeyMigration90Number2022
Other non-westernMigration510Number2022
Primary school pupils Education1,120Number2024
Secondary school pupils Education700Number2024
Secondary vocational education students (MBO) Education380Number2024
Higher professional education students (HBO) Education290Number2024
University students (WO) Education80Number2024
Practical education level Education3,570Number2023
Intermediate education level Education4,690Number2023
Theoretical education level Education2,740Number2023
% Practical education level Education32%Percentage2023
% Intermediate education level Education43%Percentage2023
% Theoretical education level Education25%Percentage2023
Households Households6,245Number2025
Single-person households Households2,165Number2025
Multi-person households Households4,080Number2025
Multi-person households without children Households1,910Number2025
Multi-person households with children Households2,170Number2025
% Single-person households Households35%Percentage2025
% Multi-person households Households65%Percentage2025
% Multi-person households without children Households31%Percentage2025
% Multi-person households with children Households35%Percentage2025
Average household size Households2.2Average number2025
Employed labour force Income7,850Number2023
Net labor participationIncome75%Percentage2023
% EmployeesIncome81%Percentage2023
% Employees with permanent contractsIncome54%Percentage2023
% Employees with flexible contractsIncome27%Percentage2023
% Self-employedIncome19%Percentage2023
Income receivers per 1,000 inhabitantsIncome11,600Number2023
Income receiversIncome805Number per 1,000 inhabitants2023
Average income per income recipientIncome€39,000Average in euro2023
Average income per inhabitantIncome€32,900Average in euro2023
40% persons with lowest incomeIncome39%Percentage2023
20% persons with highest incomeIncome20%Percentage2023
Average standardized household incomeIncome€39,800euro2023
40% households with lowest incomeIncome35%Percentage2023
20% households with highest incomeIncome24%Percentage2023
Households with a low incomeIncome3.3%Percentage2023
% Households at social minimumIncome4.6%Percentage2023
Households up to 110% of the social minimumIncome7.1%Percentage2023
Households up to 120% of the social minimumIncome8.8%Percentage2023
Median capital assets of private householdsIncome€223,400euro2023
Persons with social security welfareIncome180Number2024
Persons with social security for incapacity for workIncome850Number2024
Persons with social security for unemployedIncome80Number2024
Persons with social security for elderlyIncome2,810Number2024
Persons with social security welfareIncome1%Percentage2024
Persons with social security for incapacity for workIncome6%Percentage2024
Persons with social security for unemployedIncome1%Percentage2024
Persons with social security for elderlyIncome19%Percentage2024
Young people with youth care in kindPopulation390Number2023
% Young people with youth carePopulation11%Percentage2023
WMO clientsPopulation1,005Number2023
WMO clients relativePopulation70Number per 1,000 inhabitants2023
Housing stockHouses6,026Number2024
Houses per 1,000 inhabitantsHouses418Number per 1,000 inhabitants2024
Newly built dwellingsHouses72Number2024
Non-dwelling stockHouses1,017Number2024
Newly built non-dwellingsHouses2Number2024
Average house valueHouses€421,000Average in euro2024
House value classHouses€400.000 tot €500.000Categorical type2024
Privately owned homesHouses4,459Number2024
Rented homesHouses1,567Number2024
Rental-housing by corporationHouses4,158Number2024
Homes other rentalHouses1,868Number2024
Ownership unknownHouses1,326Number2024
Single-family housesHouses542Number2024
Multi-family housesHouses0Number2024
InhabitedHouses5,845Number2024
UninhabitedHouses181Number2024
% Privately owned homesHouses69%Percentage2024
% Rented homesHouses31%Percentage2024
% Rental-housing by corporationHouses22%Percentage2024
% Homes other rentalHouses9%Percentage2024
% Ownership unknownHouses0%Percentage2024
% Single-family housesHouses74%Percentage2024
% Multi-family housesHouses26%Percentage2024
% InhabitedHouses97%Percentage2024
% UninhabitedHouses3%Percentage2024
ApartmentsHouses1,592Number2025
Terraced housesHouses2,710Number2025
Corner dwelling typeHouses1,052Number2025
Semi-detached housesHouses387Number2025
Detached housesHouses707Number2025
Unknown dwelling typeHouses0Number2025
% Apartment dwelling typeHouses25%Percentage2025
% Terraced or linked dwelling typeHouses42%Percentage2025
% Corner dwelling typeHouses16%Percentage2025
% Semi-detached dwelling typeHouses6%Percentage2025
% Detached dwelling typeHouses11%Percentage2025
% Unknown dwelling typeHouses0.0%Percentage2025
Dwellings built before 1945Houses852Number2025
Dwellings built from 1945 to 1965Houses990Number2025
Dwellings built from 1965 to 1975Houses883Number2025
Dwellings built from 1975 to 1985Houses881Number2025
Dwellings built from 1985 to 1995Houses877Number2025
Dwellings built from 1995 to 2005Houses646Number2025
Dwellings built from 2005 to 2015Houses456Number2025
Dwellings built from 2015 to 2025Houses741Number2025
Dwellings built from 2025 onwardsHouses119Number2025
Dwellings unknown year of builtHouses3Number2025
% Dwellings built before 1945Houses13%Percentage2025
% Dwellings built from 1945 to 1965Houses15%Percentage2025
% Dwellings built from 1965 to 1975Houses14%Percentage2025
% Dwellings built from 1975 to 1985Houses14%Percentage2025
% Dwellings built from 1985 to 1995Houses14%Percentage2025
% Dwellings built from 1995 to 2005Houses10%Percentage2025
% Dwellings built from 2005 to 2015Houses7%Percentage2025
% Dwellings built from 2015 to 2025Houses11%Percentage2025
% Dwellings built from 2025 onwardsHouses2.0%Percentage2025
% Dwellings unknown year of builtHouses0.0%Percentage2025
Average electricity supply per homeEnergy2,710Average in kWh2024
Average electricity feed-inEnergy920Average in kWh2024
% Homes with solar powerEnergy38%Percentage2024
% Homes primarily heated by electricityEnergy5%Percentage2024
Average electricity usage apartmentEnergy1,900Average in kWh2023
Average electricity usage terraced homesEnergy2,580Average in kWh2023
Average electricity usage corner homesEnergy2,690Average in kWh2023
Average electricity usage semi-detached homesEnergy3,400Average in kWh2023
Average electricity usage detached homesEnergy4,140Average in kWh2023
Average electricity usage owner-occupied homesEnergy2,170Average in kWh2023
Average electricity usage rental homesEnergy2,850Average in kWh2023
Average natural gas usage totalEnergy850Average per m³2024
% Homes with district heatingEnergy0%Percentage2014
% Natural gas-free homesEnergy2%Percentage2024
% Natural gas homesEnergy92%Percentage2024
Average natural gas usage apartmentEnergy620Average per m³2023
Average natural gas usage terraced homesEnergy810Average per m³2023
Average natural gas usage corner homesEnergy960Average per m³2023
Average natural gas usage semi-detached homesEnergy1,130Average per m³2023
Average natural gas usage detached homesEnergy1,380Average per m³2023
Average natural gas usage owner-occupied homesEnergy900Average per m³2023
Average natural gas usage rental homesEnergy780Average per m³2023
Businesses totalBusiness2,115Number2024
Businesses agriculture, forestry, fishingBusiness170Number2024
Businesses industry and energyBusiness430Number2024
Businesses trade and cateringBusiness285Number2024
Businesses transport, information, communicationBusiness105Number2024
Businesses financial services, real estateBusiness140Number2024
Businesses business servicesBusiness495Number2024
Government, education, careBusiness335Number2024
Businesses culture, recreation, other servicesBusiness160Number2024
% Businesses agriculture, forestry, fishingBusiness8%Percentage2024
% Businesses industry and energyBusiness20%Percentage2024
% Businesses trade and cateringBusiness13%Percentage2024
% Businesses transport, information, communicationBusiness4.95%Percentage2024
% Businesses financial services, real estateBusiness6.6%Percentage2024
% Businesses business servicesBusiness23%Percentage2024
% Government, education, careBusiness16%Percentage2024
% Businesses culture, recreation, other servicesBusiness7.5%Percentage2024
Passenger cars totalTransport7,340Number2024
Passenger cars petrolTransport5,860Number2024
Passenger cars other fuelTransport1,480Number2024
Passenger cars per householdTransport1.18Number2024
Passenger cars per surfaceTransport711Number2024
MotorcyclesTransport600Number2024
Surface totalRegional1,060Number of hectares2025
Surface landRegional1,033Number of hectares2025
Surface waterRegional27Number of hectares2025
Population densityRegional1,393Number per km²2025
Degree of urbanizationRegional3Indicator 1-52025
Address densityRegional1,351Average number per km²2025
Crime totalCrime333Number2024
Crime theftCrime139Number2024
Crime violence and sexual abuseCrime28Number2024
Crime environmentalCrime2Number2024
Crime scamCrime63Number2024
Crime trafficCrime59Number2024
Crime destructionCrime29Number2024
Crime otherCrime13Number2024
Crime theftCrime23Number per 1,000 inhabitants2024
Crime theftCrime10Number per 1,000 inhabitants2024
Crime violence and sexual abuseCrime2Number per 1,000 inhabitants2024
Crime environmentalCrime0Number per 1,000 inhabitants2024
Crime scamCrime4Number per 1,000 inhabitants2024
Crime trafficCrime4Number per 1,000 inhabitants2024
Crime destructionCrime2Number per 1,000 inhabitants2024
Crime otherCrime1Number per 1,000 inhabitants2024
Traffic accidents totalTraffic accidents58Number2024
Traffic accidents only material damageTraffic accidents25Number2024
Traffic accidents injuriesTraffic accidents33Number2024
Traffic accidents deadlyTraffic accidents0Number2024
Addresses totalRegional7,498Number2025
Addresses with postal codeRegional7,410Number2025
Addresses with residential functionRegional6,448Number2025
Addresses with meeting functionRegional57Number2025
Addresses with cell functionRegional0Number2025
Addresses with healthcare functionRegional61Number2025
Addresses with industrial functionRegional486Number2025
Addresses with office functionRegional76Number2025
Addresses with lodging functionRegional3Number2025
Addresses with educational functionRegional11Number2025
Addresses with sports functionRegional10Number2025
Addresses with retail functionRegional115Number2025
Addresses with other usage functionRegional369Number2025
Residential objectsRegional7,488Number2025
Berth locationsRegional0Number2025
Stand locationsRegional10Number2025
Buildings with addressRegional5,695Number2025
Addresses with buildingRegional7,484Number2025
Parcels with addressRegional5,098Number2025
Addresses with parcelRegional7,498Number2025
Addresses within built-up areaRegional6,823Number2025
Addresses outside built-up areaRegional675Number2025
Addresses with residential function within built-up areaRegional5,912Number2025
Addresses with residential function outside built-up areaRegional536Number2025
Buildings before 1700Regional0Number2025
Buildings 1700 to 1900Regional25Number2025
Buildings 1900 to 1925Regional128Number2025
Buildings 1925 to 1950Regional803Number2025
Buildings 1950 to 1970Regional1,384Number2025
Buildings 1970 to 1980Regional979Number2025
Buildings 1980 to 1990Regional698Number2025
Buildings 1990 to 2000Regional706Number2025
Buildings 2000 to 2010Regional212Number2025
Buildings 2010 to 2020Regional316Number2025
Buildings 2020 and laterRegional444Number2025
Buildings built before 1700Regional0Number2025
Buildings built from 1700 to 1900Regional31Number2025
Buildings built from 1900 to 1925Regional147Number2025
Buildings built from 1925 to 1950Regional877Number2025
Buildings built from 1950 to 1970Regional1,684Number2025
Buildings built from 1970 to 1980Regional1,042Number2025
Buildings built from 1980 to 1990Regional958Number2025
Buildings built from 1990 to 2000Regional1,127Number2025
Buildings built from 2000 to 2010Regional542Number2025
Buildings built from 2010 to 2020Regional520Number2025
Buildings built from 2020 onwardsRegional556Number2025
Undetermined energy labelEnergy consumption1,135Number2025
Provisional energy labelEnergy consumption2,613Number2025
Final energy labelsEnergy consumption3,750Number2025
Energy label A+++++Energy consumption0Number2025
Energy label A++++Energy consumption6Number2025
Energy label A+++Energy consumption151Number2025
Energy label A++Energy consumption49Number2025
Energy label A+Energy consumption49Number2025
Energy label AEnergy consumption1,273Number2025
Energy label BEnergy consumption1,013Number2025
Energy label CEnergy consumption2,002Number2025
Energy label DEnergy consumption462Number2025
Energy label EEnergy consumption497Number2025
Energy label FEnergy consumption463Number2025
Energy label GEnergy consumption398Number2025
Zipcode areaRegional2681AA-2681ZZName2025
Most common zipcodeRegional2681Name2025
Coverage percentage most common zipcodeRegional100%Percentage2025
Distance to general practitionerProximity0.8Average distance in km2024
General practitioners within 1 kmProximity1.4Average number2024
General practitioners within 3 kmProximity3.3Average number2024
General practitioners within 5 kmProximity9.3Average number2024
Distance to general practitioner postProximity5.8Average distance in km2024
Pharmacy distanceProximity0.8Average distance in km2024
Hospital with outpatient clinic distanceProximity4.0Average distance in km2024
Hospitals with outpatient clinic within 5 kmProximity1.0Average number2024
Hospitals with outpatient clinic within 10 kmProximity3.4Average number2024
Hospitals with outpatient clinic within 20 kmProximity11Average number2024
Hospital distanceProximity7.8Average distance in km2024
Hospitals within 5 kmProximity0.0Average number2024
Hospitals within 10 kmProximity1.1Average number2024
Hospitals within 20 kmProximity6Average number2024
Large supermarket distanceProximity0.8Average distance in km2024
Large supermarkets within 1 kmProximity2.7Average number2024
Large supermarkets within 3 kmProximity5.1Average number2024
Large supermarkets within 5 kmProximity11Average number2024
Other daily groceries distanceProximity0.9Average distance in km2024
Other daily groceries within 1 kmProximity6.1Average number2024
Other daily groceries within 3 kmProximity12Average number2024
Other daily groceries within 5 kmProximity38Average number2024
Department store distanceProximity1.3Average distance in km2024
Department stores within 5 kmProximity2.2Average number2024
Department stores within 10 kmProximity11Average number2024
Department stores within 20 kmProximity30Average number2024
Cafe distanceProximity1.3Average distance in km2024
Cafes within 1 kmProximity0.4Average number2024
Cafes within 3 kmProximity1.2Average number2024
Cafes within 5 kmProximity5.8Average number2024
Snack bar distanceProximity0.6Average distance in km2024
Snack bars within 1 kmProximity2.2Average number2024
Snack bars within 3 kmProximity6Average number2024
Snack bars within 5 kmProximity26Average number2024
Restaurant distanceProximity0.7Average distance in km2024
Restaurants within 1 kmProximity3.5Average number2024
Restaurants within 3 kmProximity8Average number2024
Restaurants within 5 kmProximity30Average number2024
Hotel distanceProximity1.5Average distance in km2024
Hotels within 5 kmProximity5.1Average number2024
Hotels within 10 kmProximity11Average number2024
Hotels within 20 kmProximity130Average number2024
Daycare distanceProximity0.7Average distance in km2024
Daycares within 1 kmProximity2.6Average number2024
Daycares within 3 kmProximity6.6Average number2024
Daycares within 5 kmProximity22Average number2024
After-school care distanceProximity0.7Average distance in km2024
After-school care within 1 kmProximity2.5Average number2024
After-school care within 3 kmProximity6.7Average number2024
After-school care within 5 kmProximity24Average number2024
Primary education distanceProximity0.8Average distance in km2024
Primary education within 1 kmProximity1.8Average number2024
Primary education within 3 kmProximity4.5Average number2024
Primary education within 5 kmProximity15Average number2024
Secondary education total distanceProximity3.2Average distance in km2024
Secondary education total within 3 kmProximity0.6Average number2024
Secondary education total within 5 kmProximity4.9Average number2024
Secondary education total within 10 kmProximity24Average number2024
Secondary education VMBO distanceProximity3.2Average distance in km2024
Secondary education VMBO within 3 kmProximity0.6Average number2024
Secondary education VMBO within 5 kmProximity4.9Average number2024
Secondary education VMBO within 10 kmProximity20Average number2024
Secondary education HAVO VWO distanceProximity3.6Average distance in km2024
Secondary education HAVO VWO within 3 kmProximity0.2Average number2024
Secondary education HAVO VWO within 5 kmProximity0.9Average number2024
Secondary education HAVO VWO within 10 kmProximity9.2Average number2024
Public green space total distanceProximity0.7Average distance in km2017
Park or garden distanceProximity2.1Average distance in km2017
Day recreational area distanceProximity2.8Average distance in km2017
Forest distanceProximity1.2Average distance in km2017
Open natural area total distanceProximity0.9Average distance in km2017
Open dry natural area distanceProximity0.9Average distance in km2017
Open wet natural area distanceProximity9.2Average distance in km2017
Semi-public green space total distanceProximity0.9Average distance in km2017
Sports field distanceProximity1.2Average distance in km2017
Allotment garden distanceProximity2.9Average distance in km2017
Residential recreational area distanceProximity2.0Average distance in km2017
Cemetery distanceProximity1.0Average distance in km2017
Recreational inland water distanceProximity2.8Average distance in km2017
Main road access distanceProximity0.9Average distance in km2024
Train station distanceProximity12Average distance in km2024
Major transfer station distanceProximity12Average distance in km2024
Library distanceProximity1.0Average distance in km2024
Swimming pool distanceProximity1.5Average distance in km2024
Artificial ice rink distanceProximity6.6Average distance in km2024
Performing arts distanceProximity5.2Average distance in km2024
Performing arts within 5 kmProximity0.3Average number2024
Performing arts within 10 kmProximity2.8Average number2024
Performing arts within 20 kmProximity26Average number2024
Pop venue distanceProximity12Average distance in km2024
Cinema distanceProximity12Average distance in km2024
Cinemas within 5 kmProximity0.0Average number2024
Cinemas within 10 kmProximity0.1Average number2024
Cinemas within 20 kmProximity10Average number2024
Sauna distanceProximity5.4Average distance in km2024
Tanning salon distanceProximity3.4Average distance in km2024
Museum distanceProximity6.6Average distance in km2024
Museums within 5 kmProximity0.0Average number2024
Museums within 10 kmProximity2.1Average number2024
Museums within 20 kmProximity34Average number2024
Attraction distanceProximity2.9Average distance in km2024
Attractions within 10 kmProximity2.3Average number2024
Attractions within 20 kmProximity15Average number2024
Attractions within 50 kmProximity48Average number2024
Fire station distanceProximity1.3Average distance in km2024

Table with more than 250 topics for the borough Monster.

👆 The table above shows the latest available data for the borough Monster for over 250 topics. The most recent update of the data was done at October 3rd, 2025. The rows are sorted by category and subject.

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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