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 6,094 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 €445.000 in 2025.

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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
2025€445.0005,5%
2024€422.0006,3%
2023€397.00011%
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 €198.000 from €247.000 in 2013 to €445.000 in 2025 (that is a change of 80%). The average difference per year over the entire period from 2013 to 2025 was €16.500 (5,2%). 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
% Uninhabited is most common in Borough Monster: there are 2,739 addresses with house type % uninhabited.
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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 januari 2026.

Energy labels
The most common energy labels in Borough Monster are C (2,020 addresses) and A (1,281 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 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 Monster: 2,020 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 January 15th, 2026.

Total recorded crime per month or per year
In 2025 a total of 380 crimes were registered in Borough Monster.
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Total number of registered crimes in the borough Monster, 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 Monster a total of 6,779 crimes have been registered from 2012 to 2025. These crimes are classified into 42 different types of crime. In 2025 the police recorded 380 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 2025 are Theft of mopeds, scooters, bicycles (60 crimes) en Horizontal fraud (57 crimes).
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Number of crimes for the ten most common types of crimes, 2025, borough Monster.

Crime definitions (Dutch)
Total crime per month
In December 2025 a total of 23 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 11 crimes per 1,000 inhabitants of the type ‘diefstal’ in 2025 in Borough Monster.
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Crime: number of crimes per 1,000 inhabitants in 2025 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 inhabitantsIncome11,600Number2024
Income receiversIncome804Number per 1,000 inhabitants2024
Average income per income recipientIncome€41,300Average in euro2024
Average income per inhabitantIncome€34,800Average in euro2024
40% persons with lowest incomeIncome38%Percentage2024
20% persons with highest incomeIncome20%Percentage2024
% persons Income2.8%Percentage2024
% persons Income4.2%Percentage2024
Average standardized household incomeIncome€44,300euro2024
40% households with lowest incomeIncome34%Percentage2024
20% households with highest incomeIncome24%Percentage2024
Households with a low incomeIncome2.9%Percentage2023
% Households at social minimumIncome4.1%Percentage2023
Households up to 110% of the social minimumIncome6.6%Percentage2023
Households up to 120% of the social minimumIncome8.5%Percentage2023
Median capital assets of private householdsIncome€232,900euro2024
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 kindPopulation335Number2024
% Young people with youth carePopulation10%Percentage2024
Wmo clientsPopulation1,030Number2024
Wmo clients relativePopulation71Number per 1,000 inhabitants2024
Housing stockHouses6,094Number2025
Houses per 1,000 inhabitantsHouses423Number per 1,000 inhabitants2025
Newly built dwellingsHouses72Number2024
Non-dwelling stockHouses1,011Number2025
Newly built non-dwellingsHouses2Number2024
Average house valueHouses€445,000Average in euro2025
House value classHouses€400.000 tot €500.000Categorical type2025
nannan4,510Number2025
nannan1,584Number2025
Privately owned homesHouses4,205Number2025
Rented homesHouses1,889Number2025
Rental-housing by corporationHouses1,280Number2025
Homes other rentalHouses609Number2025
Ownership unknownHouses0Number2025
Single-family housesHouses5,850Number2025
Multi-family housesHouses244Number2025
InhabitedHouses69%Percentage2025
UninhabitedHouses31%Percentage2025
% Privately owned homesHouses21%Percentage2025
% Rented homesHouses10%Percentage2025
% Rental-housing by corporationHouses0%Percentage2025
% Homes other rentalHouses74%Percentage2025
% Ownership unknownHouses26%Percentage2025
% Single-family housesHouses96%Percentage2025
% Multi-family housesHouses4%Percentage2025
% InhabitedHouses1,593Number2026
% UninhabitedHouses2,739Number2026
ApartmentsHouses1,063Number2026
Terraced housesHouses395Number2026
Corner dwelling typeHouses712Number2026
Semi-detached housesHouses0Number2026
Detached housesHouses24%Percentage2026
Unknown dwelling typeHouses42%Percentage2026
% Apartment dwelling typeHouses16%Percentage2026
% Terraced or linked dwelling typeHouses6%Percentage2026
% Corner dwelling typeHouses11%Percentage2026
% Semi-detached dwelling typeHouses0.0%Percentage2026
% Detached dwelling typeHouses853Number2026
% Unknown dwelling typeHouses990Number2026
Dwellings built before 1945Houses881Number2026
Dwellings built from 1945 to 1965Houses881Number2026
Dwellings built from 1965 to 1975Houses877Number2026
Dwellings built from 1975 to 1985Houses647Number2026
Dwellings built from 1985 to 1995Houses457Number2026
Dwellings built from 1995 to 2005Houses631Number2026
Dwellings built from 2005 to 2015Houses281Number2026
Dwellings built from 2015 to 2025Houses4Number2026
Dwellings built from 2025 onwardsHouses13%Percentage2026
Dwellings unknown year of builtHouses15%Percentage2026
% Dwellings built before 1945Houses14%Percentage2026
% Dwellings built from 1945 to 1965Houses14%Percentage2026
% Dwellings built from 1965 to 1975Houses13%Percentage2026
% Dwellings built from 1975 to 1985Houses10%Percentage2026
% Dwellings built from 1985 to 1995Houses7%Percentage2026
% Dwellings built from 1995 to 2005Houses10%Percentage2026
% Dwellings built from 2005 to 2015Houses4.0%Percentage2026
% Dwellings built from 2015 to 2025Houses0.0%Percentage2026
% Dwellings built from 2025 onwardsHouses2,710Average in kWh2024
% Dwellings unknown year of builtHouses920Average in kWh2024
Average electricity supply per homeEnergyno dataPercentageno data
Average electricity feed-inEnergy5%Percentage2024
% Homes with solar powerEnergy1,900Average in kWh2023
% Homes primarily heated by electricityEnergy2,580Average in kWh2023
Average electricity usage apartmentEnergy2,690Average in kWh2023
Average electricity usage terraced homesEnergy3,400Average in kWh2023
Average electricity usage corner homesEnergy4,140Average in kWh2023
Average electricity usage semi-detached homesEnergy2,170Average in kWh2023
Average electricity usage detached homesEnergy2,850Average in kWh2023
Average electricity usage owner-occupied homesEnergy850Average per m³2024
Average electricity usage rental homesEnergy0%Percentage2014
Average natural gas usage totalEnergy2%Percentage2024
% Homes with district heatingEnergy92%Percentage2024
% Natural gas-free homesEnergy620Average per m³2023
% Natural gas homesEnergy810Average per m³2023
Average natural gas usage apartmentEnergy960Average per m³2023
Average natural gas usage terraced homesEnergy1,130Average per m³2023
Average natural gas usage corner homesEnergy1,380Average per m³2023
Average natural gas usage semi-detached homesEnergy900Average per m³2023
Average natural gas usage detached homesEnergy780Average per m³2023
Average natural gas usage owner-occupied homesEnergy2,115Number2024
Average natural gas usage rental homesEnergy170Number2024
Businesses totalBusiness430Number2024
Businesses agriculture, forestry, fishingBusiness285Number2024
Businesses industry and energyBusiness105Number2024
Businesses trade and cateringBusiness140Number2024
Businesses transport, information, communicationBusiness495Number2024
Businesses financial services, real estateBusiness335Number2024
Businesses business servicesBusiness160Number2024
Government, education, careBusiness8%Percentage2024
Businesses culture, recreation, other servicesBusiness20%Percentage2024
% Businesses agriculture, forestry, fishingBusiness13%Percentage2024
% Businesses industry and energyBusiness4.95%Percentage2024
% Businesses trade and cateringBusiness6.6%Percentage2024
% Businesses transport, information, communicationBusiness23%Percentage2024
% Businesses financial services, real estateBusiness16%Percentage2024
% Businesses business servicesBusiness7.5%Percentage2024
% Government, education, careBusiness7,395Number2025
% Businesses culture, recreation, other servicesBusiness5,680Number2025
Passenger cars totalTransport1,715Number2025
Passenger cars petrolTransport1.18Number2025
Passenger cars other fuelTransport716Number2025
Passenger cars per householdTransport615Number2025
Passenger cars per surfaceTransportno dataNumberno data
MotorcyclesTransport1,060Number of hectares2025
Public charging stationsTransport1,033Number of hectares2025
Surface totalRegional27Number of hectares2025
Surface landRegional1,393Number per km²2025
Surface waterRegional3Indicator 1-52025
Population densityRegional1,351Average number per km²2025
Address densityRegional380Number2025
Change in classification of neighborhoodsnan161Number2025
Crime totalCrime36Number2025
Crime theftCrime0Number2025
Crime violence and sexual abuseCrime58Number2025
Crime environmentalCrime74Number2025
Crime scamCrime33Number2025
Crime trafficCrime18Number2025
Crime destructionCrime26Number per 1,000 inhabitants2025
Crime otherCrime11Number per 1,000 inhabitants2025
Crime theftCrime3Number per 1,000 inhabitants2025
Crime theftCrime0Number per 1,000 inhabitants2025
Crime violence and sexual abuseCrime4Number per 1,000 inhabitants2025
Crime environmentalCrime5Number per 1,000 inhabitants2025
Crime scamCrime2Number per 1,000 inhabitants2025
Crime trafficCrime1Number per 1,000 inhabitants2025
Crime destructionCrime58Number2024
Crime otherCrime25Number2024
Traffic accidents totalTraffic accidents33Number2024
Traffic accidents only material damageTraffic accidents0Number2024
Traffic accidents injuriesTraffic accidents7,546Number2026
Traffic accidents deadlyTraffic accidents7,461Number2026
Addresses totalRegional6,502Number2026
Addresses with postal codeRegional58Number2026
Addresses with residential functionRegional0Number2026
Addresses with meeting functionRegional64Number2026
Addresses with cell functionRegional484Number2026
Addresses with healthcare functionRegional75Number2026
Addresses with industrial functionRegional3Number2026
Addresses with office functionRegional10Number2026
Addresses with lodging functionRegional10Number2026
Addresses with educational functionRegional108Number2026
Addresses with sports functionRegional366Number2026
Addresses with retail functionRegional7,536Number2026
Addresses with other usage functionRegional0Number2026
Residential objectsRegional10Number2026
Berth locationsRegional5,745Number2026
Stand locationsRegional7,530Number2026
Buildings with addressRegional5,147Number2026
Addresses with buildingRegional7,546Number2026
Parcels with addressRegional6,867Number2026
Addresses with parcelRegional679Number2026
Addresses within built-up areaRegional5,965Number2026
Addresses outside built-up areaRegional537Number2026
Addresses with residential function within built-up areaRegional0Number2026
Addresses with residential function outside built-up areaRegional26Number2026
Buildings before 1700Regional133Number2026
Buildings 1700 to 1900Regional797Number2026
Buildings 1900 to 1925Regional1,383Number2026
Buildings 1925 to 1950Regional977Number2026
Buildings 1950 to 1970Regional698Number2026
Buildings 1970 to 1980Regional706Number2026
Buildings 1980 to 1990Regional212Number2026
Buildings 1990 to 2000Regional315Number2026
Buildings 2000 to 2010Regional498Number2026
Buildings 2010 to 2020Regional0Number2026
Buildings 2020 and laterRegional32Number2026
Buildings built before 1700Regional152Number2026
Buildings built from 1700 to 1900Regional870Number2026
Buildings built from 1900 to 1925Regional1,683Number2026
Buildings built from 1925 to 1950Regional1,038Number2026
Buildings built from 1950 to 1970Regional958Number2026
Buildings built from 1970 to 1980Regional1,127Number2026
Buildings built from 1980 to 1990Regional542Number2026
Buildings built from 1990 to 2000Regional520Number2026
Buildings built from 2000 to 2010Regional608Number2026
Buildings built from 2010 to 2020Regional1,077Number2026
Buildings built from 2020 onwardsRegional2,492Number2026
Undetermined energy labelEnergy consumption3,977Number2026
Provisional energy labelEnergy consumption0Number2026
Final energy labelsEnergy consumption10Number2026
Energy label A+++++Energy consumption222Number2026
Energy label A++++Energy consumption73Number2026
Energy label A+++Energy consumption80Number2026
Energy label A++Energy consumption1,281Number2026
Energy label A+Energy consumption1,034Number2026
Energy label AEnergy consumption2,020Number2026
Energy label BEnergy consumption471Number2026
Energy label CEnergy consumption454Number2026
Energy label DEnergy consumption447Number2026
Energy label EEnergy consumption377Number2026
Energy label FEnergy consumption2681AA-2681ZZName2026
nanType of house number range2681Name2026
nanNumber of public space100%Percentage2026
Most common zipcodeRegional0.8Average distance in km2024
Coverage percentage most common zipcodeRegional1.4Average number2024
Distance to general practitionerProximity3.3Average number2024
General practitioners within 1 kmProximity9.3Average number2024
General practitioners within 3 kmProximity5.8Average distance in km2024
General practitioners within 5 kmProximity0.8Average distance in km2024
Distance to general practitioner postProximity4.0Average distance in km2024
Pharmacy distanceProximity1.0Average number2024
Hospital with outpatient clinic distanceProximity3.4Average number2024
Hospitals with outpatient clinic within 5 kmProximity11Average number2024
Hospitals with outpatient clinic within 10 kmProximity7.8Average distance in km2024
Hospitals with outpatient clinic within 20 kmProximity0.0Average number2024
Hospital distanceProximity1.1Average number2024
Hospitals within 5 kmProximity6Average number2024
Hospitals within 10 kmProximity0.8Average distance in km2024
Hospitals within 20 kmProximity2.7Average number2024
Large supermarket distanceProximity5.1Average number2024
Large supermarkets within 1 kmProximity11Average number2024
Large supermarkets within 3 kmProximity0.9Average distance in km2024
Large supermarkets within 5 kmProximity6.1Average number2024
Other daily groceries distanceProximity12Average number2024
Other daily groceries within 1 kmProximity38Average number2024
Other daily groceries within 3 kmProximity1.3Average distance in km2024
Other daily groceries within 5 kmProximity2.2Average number2024
Department store distanceProximity11Average number2024
Department stores within 5 kmProximity30Average number2024
Department stores within 10 kmProximity1.3Average distance in km2024
Department stores within 20 kmProximity0.4Average number2024
Cafe distanceProximity1.2Average number2024
Cafes within 1 kmProximity5.8Average number2024
Cafes within 3 kmProximity0.6Average distance in km2024
Cafes within 5 kmProximity2.2Average number2024
Snack bar distanceProximity6Average number2024
Snack bars within 1 kmProximity26Average number2024
Snack bars within 3 kmProximity0.7Average distance in km2024
Snack bars within 5 kmProximity3.5Average number2024
Restaurant distanceProximity8Average number2024
Restaurants within 1 kmProximity30Average number2024
Restaurants within 3 kmProximity1.5Average distance in km2024
Restaurants within 5 kmProximity5.1Average number2024
Hotel distanceProximity11Average number2024
Hotels within 5 kmProximity130Average number2024
Hotels within 10 kmProximity0.7Average distance in km2024
Hotels within 20 kmProximity2.6Average number2024
Daycare distanceProximity6.6Average number2024
Daycares within 1 kmProximity22Average number2024
Daycares within 3 kmProximity0.7Average distance in km2024
Daycares within 5 kmProximity2.5Average number2024
After-school care distanceProximity6.7Average number2024
After-school care within 1 kmProximity24Average number2024
After-school care within 3 kmProximity0.8Average distance in km2024
After-school care within 5 kmProximity1.8Average number2024
Primary education distanceProximity4.5Average number2024
Primary education within 1 kmProximity15Average number2024
Primary education within 3 kmProximity3.2Average distance in km2024
Primary education within 5 kmProximity0.6Average number2024
Secondary education total distanceProximity4.9Average number2024
Secondary education total within 3 kmProximity24Average number2024
Secondary education total within 5 kmProximity3.2Average distance in km2024
Secondary education total within 10 kmProximity0.6Average number2024
Secondary education VMBO distanceProximity4.9Average number2024
Secondary education VMBO within 3 kmProximity20Average number2024
Secondary education VMBO within 5 kmProximity3.6Average distance in km2024
Secondary education VMBO within 10 kmProximity0.2Average number2024
Secondary education HAVO VWO distanceProximity0.9Average number2024
Secondary education HAVO VWO within 3 kmProximity9.2Average number2024
Secondary education HAVO VWO within 5 kmProximity0.7Average distance in km2017
Secondary education HAVO VWO within 10 kmProximity2.1Average distance in km2017
Public green space total distanceProximity2.8Average distance in km2017
Park or garden distanceProximity1.2Average distance in km2017
Day recreational area distanceProximity0.9Average distance in km2017
Forest distanceProximity0.9Average distance in km2017
Open natural area total distanceProximity9.2Average distance in km2017
Open dry natural area distanceProximity0.9Average distance in km2017
Open wet natural area distanceProximity1.2Average distance in km2017
Semi-public green space total distanceProximity2.9Average distance in km2017
Sports field distanceProximity2.0Average distance in km2017
Allotment garden distanceProximity1.0Average distance in km2017
Residential recreational area distanceProximity2.8Average distance in km2017
Cemetery distanceProximity0.9Average distance in km2024
Recreational inland water distanceProximity12Average distance in km2024
Main road access distanceProximity12Average distance in km2024
Train station distanceProximity1.0Average distance in km2024
Major transfer station distanceProximity1.5Average distance in km2024
Library distanceProximity6.6Average distance in km2024
Swimming pool distanceProximity5.2Average distance in km2024
Artificial ice rink distanceProximity0.3Average number2024
Performing arts distanceProximity2.8Average number2024
Performing arts within 5 kmProximity26Average number2024
Performing arts within 10 kmProximity12Average distance in km2024
Performing arts within 20 kmProximity12Average distance in km2024
Pop venue distanceProximity0.0Average number2024
Cinema distanceProximity0.1Average number2024
Cinemas within 5 kmProximity10Average number2024
Cinemas within 10 kmProximity5.4Average distance in km2024
Cinemas within 20 kmProximity3.4Average distance in km2024
Sauna distanceProximity6.6Average distance in km2024
Tanning salon distanceProximity0.0Average number2024
Museum distanceProximity2.1Average number2024
Museums within 5 kmProximity34Average number2024
Museums within 10 kmProximity2.9Average distance in km2024
Museums within 20 kmProximity2.3Average number2024
Attraction distanceProximity15Average number2024
Attractions within 10 kmProximity48Average number2024
Attractions within 20 kmProximity1.3Average 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 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