Population per year
The borough Monster has 14.430 inhabitants in 2024.
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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:
| Jaar | Population Borough Monster | % difference |
|---|---|---|
| 2024 | 14.430 | 0,14% |
| 2023 | 14.410 | 1,77% |
| 2022 | 14.160 | 0,35% |
| 2021 | 14.110 | 0,93% |
| 2020 | 13.980 | -0,11% |
| 2019 | 13.995 | 0% |
| 2018 | 13.995 | 0,68% |
| 2017 | 13.900 | 1,50% |
| 2016 | 13.695 | -0,25% |
| 2015 | 13.730 | 0% |
| 2014 | 13.730 | -0,79% |
| 2013 | 13.840 | geen data |
The population of the borough Monster has changed with 590 inhabitants from 13.840 inhabitants in 2013 to 14.430 inhabitants in 2024 (that is a change of 4,26%). The average difference per year over the entire period from 2013 to 2024 was 54 inhabitants (0,38%).
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 borough Monster with the population per neighbourhood in 2024. 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
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House characteristics
There are 6,030 houses in de wijk Monster.
Percentages of home ownership, occupation, type and construction period.
View the explanation for the definitions of the home 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 €398.000 in 2023.
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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:
| Jaar | Average property value Borough Monster | % difference |
|---|---|---|
| 2023 | €398.000 | 11% |
| 2022 | €357.000 | 9,8% |
| 2021 | €325.000 | 8,3% |
| 2020 | €300.000 | 8,3% |
| 2019 | €277.000 | 10% |
| 2018 | €251.000 | 6,8% |
| 2017 | €235.000 | 3,98% |
| 2016 | €226.000 | 0% |
| 2015 | €226.000 | -2,16% |
| 2014 | €231.000 | -6,5% |
| 2013 | €247.000 | geen data |
The average property value in the borough Monster has changed with €151.000 from €247.000 in 2013 to €398.000 in 2023 (that is a change of 61%). The average difference per year over the entire period from 2013 to 2023 was €15.100 (5%). The development of the data over time follows a slightly increasing trend: The numbers increase 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).
Energy labels
The most common energy labels in Borough Monster are C (1,983 addresses) and A (1,219 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 1 July 2024.
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: 1,983 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 68 traffic accidents in total in Borough Monster in 2022.
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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 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 15 November 2024.
Total recorded crime per month or per year
In 2023 a total of 438 crimes were registered in Borough Monster.
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Total number of registered crimes in the borough Monster, from 2012 to 2023 inclusive (when displaying the data per year) or May 2023 to October 2024 (when displaying the data per month).
In the borough Monster a total of 6,063 crimes have been registered from 2012 to 2023. These crimes are classified into 42 different types of crime. In 2023 the police recorded 438 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 2023 are Accidents (road) (70 crimes) en Theft of mopeds, scooters, bicycles (64 crimes).
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Number of crimes for the ten most common types of crimes, 2023, borough Monster.
Crime definitions (Dutch)Total crime per month
In October 2024 a total of 29 crimes were registered in Borough Monster.
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 13.31 crimes per 1,000 inhabitants of the type ‘diefstal’ in 2023 in Borough Monster.
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Crime: number of crimes per 1,000 inhabitants in 2023 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
7 babies per 1,000 inhabitants were born in 2023 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
9 people per 1,000 inhabitants died in 2023 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.
| Topic | Category | Value | Unit | Year |
|---|---|---|---|---|
| Region code | Regional | WK178305 | Code | 2024 |
| Region name | Regional | Monster | Name | 2024 |
| Region type | Regional | Wijk | Categorical type | 2024 |
| Sort code | Regional | 17830500 | Code | 2024 |
| Inhabitants | Population | 14,430 | Number | 2024 |
| Men | Population | 7,105 | Number | 2024 |
| Women | Population | 7,320 | Number | 2024 |
| Ages 0 - 15 | Population | 2,020 | Number | 2024 |
| Ages 15 - 25 | Population | 1,690 | Number | 2024 |
| Ages 25 - 45 | Population | 3,210 | Number | 2024 |
| Ages 45 - 65 | Population | 4,325 | Number | 2024 |
| Ages 65 and up | Population | 3,185 | Number | 2024 |
| Not married | Population | 6,810 | Number | 2024 |
| Married | Population | 5,940 | Number | 2024 |
| Divorced | Population | 990 | Number | 2024 |
| Widowed | Population | 690 | Number | 2024 |
| Origin Netherlands | Migration | 11,405 | Number | 2024 |
| Origin outside Netherlands | Migration | 3,030 | Number | 2024 |
| Origin Europe | Migration | 1,535 | Number | 2024 |
| Origin outside Europe | Migration | 1,495 | Number | 2024 |
| Born in Netherlands | Migration | 11,405 | Number | 2024 |
| Born in Netherlands origin Europe | Migration | 415 | Number | 2024 |
| Born in Netherlands origin outside Europe | Migration | 730 | Number | 2024 |
| Born outside Netherlands origin Europe | Migration | 1,115 | Number | 2024 |
| Born outside Netherlands origin outside Europe | Migration | 765 | Number | 2024 |
| Native Dutch | Migration | 11,715 | Number | 2022 |
| Western total | Migration | 1,475 | Number | 2022 |
| Non-western total | Migration | 970 | Number | 2022 |
| Morocco | Migration | 125 | Number | 2022 |
| Dutch Antilles and Aruba | Migration | 100 | Number | 2022 |
| Suriname | Migration | 155 | Number | 2022 |
| Turkey | Migration | 90 | Number | 2022 |
| Other non-western | Migration | 510 | Number | 2022 |
| Births total | Population | 105 | Number | 2023 |
| Births relative | Population | 7 | Number per 1000 inhabitants | 2023 |
| Mortality total | Population | 130 | Number | 2023 |
| Mortality relative | Population | 9 | Number per 1000 inhabitants | 2023 |
| Households total | Households | 6,240 | Number | 2024 |
| Single-person households | Households | 2,115 | Number | 2024 |
| Households without children | Households | 1,925 | Number | 2024 |
| Households with children | Households | 2,190 | Number | 2024 |
| Average household size | Households | 2.20 | Average number | 2024 |
| Population density | Regional | 1,397 | Number per km² | 2024 |
| Housing stock | Houses | 6,030 | Number | 2023 |
| Average house value | Houses | €398,000 | Average number | 2023 |
| Percentage single-family houses | Houses | 74% | Percentage | 2023 |
| Percentage multi-family houses | Houses | 26% | Percentage | 2023 |
| Percentage inhabited | Houses | 96% | Percentage | 2023 |
| Percentage uninhabited | Houses | 4% | Percentage | 2023 |
| Percentage privately owned homes | Houses | 69% | Percentage | 2023 |
| Percentage rented homes | Houses | 31% | Percentage | 2023 |
| Percentage rental-housing by corporation | Houses | 22% | Percentage | 2023 |
| Percentage homes other rental | Houses | 10% | Percentage | 2023 |
| Ownership unknown | Houses | 0% | Percentage | 2023 |
| Percentage homes built before 2000 | Houses | 82% | Percentage | 2023 |
| Percentage homes built since 2000 | Houses | 18% | Percentage | 2023 |
| Average electricity usage total | Energy consumption | 2,640 | Average number per km² | 2023 |
| Average electricity usage apartment | Energy consumption | 1,900 | Average number per km² | 2023 |
| Average electricity usage terraced homes | Energy consumption | 2,580 | Average number per km² | 2023 |
| Average electricity usage corner homes | Energy consumption | 2,690 | Average number per km² | 2023 |
| Average electricity usage semi-detached homes | Energy consumption | 3,400 | Average number per km² | 2023 |
| Average electricity usage detached homes | Energy consumption | 4,140 | Average number per km² | 2023 |
| Average electricity usage rental homes | Energy consumption | 2,170 | Average number per km² | 2023 |
| Average electricity usage owner-occupied homes | Energy consumption | 2,850 | Average number per km² | 2023 |
| Average natural gas usage total | Energy consumption | 870 | Average in kWh | 2023 |
| Average natural gas usage apartment | Energy consumption | 620 | Average in kWh | 2023 |
| Average natural gas usage terraced homes | Energy consumption | 810 | Average in kWh | 2023 |
| Average natural gas usage corner homes | Energy consumption | 960 | Average in kWh | 2023 |
| Average natural gas usage semi-detached homes | Energy consumption | 1,130 | Average in kWh | 2023 |
| Average natural gas usage detached homes | Energy consumption | 1,380 | Average in kWh | 2023 |
| Average natural gas usage rental homes | Energy consumption | 780 | Average in kWh | 2023 |
| Average natural gas usage owner-occupied homes | Energy consumption | 900 | Average in kWh | 2023 |
| Percentage homes with district heating | Energy consumption | 0% | Percentage | 2014 |
| Education level low | Population | 3,670 | Number | 2022 |
| Education level medium | Population | 4,620 | Number | 2022 |
| Education level high | Population | 2,580 | Number | 2022 |
| Net labor participation | Income | 68% | Percentage | 2022 |
| Percentage employees | Income | 81% | Percentage | 2022 |
| Percentage self-employed | Income | 19% | Percentage | 2022 |
| Number of income receivers | Income | 11,400 | Number | 2022 |
| Average income per income recipient | Income | €37,000 | Average number | 2022 |
| Average income per inhabitant | Income | €31,100 | Average number | 2022 |
| 40 percentile persons with lowest income | Income | 38% | Percentage | 2022 |
| 20 percentile persons with highest income | Income | 21% | Percentage | 2022 |
| Active persons 15-75 years | Income | 37% | Percentage | 2022 |
| 40 percentile households with lowest income | Income | 33% | Percentage | 2022 |
| 20 percentile households with highest income | Income | 25% | Percentage | 2022 |
| Percentage households with a low income | Income | 2.80% | Percentage | 2022 |
| Percentage households at social minimum | Income | 3.60% | Percentage | 2022 |
| Households up to 110% of the social minimum | Income | 5.9% | Percentage | 2022 |
| Households up to 120% of the social minimum | Income | 7.6% | Percentage | 2022 |
| Median capital assets of private households | Income | €237 | x 1,000 Euro | 2022 |
| Persons with social security welfare | Income | 190 | Number | 2023 |
| Persons with social security for incapacity for work | Income | 840 | Number | 2023 |
| Persons with social security for unemployed | Income | 70 | Number | 2023 |
| Persons with social security for elderly | Income | 2,810 | Number | 2023 |
| Young people with youth care in kind | Population | 360 | Number | 2022 |
| Percentage young people with youth care | Population | 11% | Percentage | 2022 |
| WMO clients | Population | 915 | Number | 2022 |
| WMO clients relative | Population | 65 | Number per 1000 inhabitants | 2022 |
| Businesses total | Business | 2,010 | Number | 2023 |
| Businesses agriculture, forestry, fishing | Business | 165 | Number | 2023 |
| Businesses industry and energy | Business | 410 | Number | 2023 |
| Businesses trade and catering | Business | 260 | Number | 2023 |
| Businesses transport, information, communication | Business | 100 | Number | 2023 |
| Businesses financial services, real estate | Business | 180 | Number | 2023 |
| Businesses business services | Business | 425 | Number | 2023 |
| Government, education, care | Business | 305 | Number | 2023 |
| Businesses culture, recreation, other services | Business | 160 | Number | 2023 |
| Passenger cars total | Transport | 7,340 | Number | 2024 |
| Passenger cars petrol | Transport | 5,860 | Number | 2024 |
| Passenger cars other fuel | Transport | 1,480 | Number | 2024 |
| Passenger cars per household | Transport | 1.18 | Number | 2024 |
| Passenger cars per surface | Regional | 711 | Number | 2024 |
| Motorcycles | Transport | 600 | Number | 2024 |
| Surface total | Regional | 1,060 | Number of hectares | 2024 |
| Surface land | Regional | 1,033 | Number of hectares | 2024 |
| Surface water | Regional | 27 | Number of hectares | 2024 |
| Degree of urbanization | Regional | 3 | Indicator 1-5 | 2024 |
| Address density | Regional | 1,356 | Average distance in km | 2024 |
| Addresses total | Regional | 7,438 | Number | 2024 |
| Addresses with postal code | Regional | 7,353 | Number | 2024 |
| Addresses with residential function | Regional | 6,393 | Number | 2024 |
| Addresses with meeting function | Regional | 54 | Number | 2024 |
| Addresses with cell function | Regional | 0 | Number | 2024 |
| Addresses with healthcare function | Regional | 71 | Number | 2024 |
| Addresses with industrial function | Regional | 480 | Number | 2024 |
| Addresses with office function | Regional | 73 | Number | 2024 |
| Addresses with lodging function | Regional | 3 | Number | 2024 |
| Addresses with educational function | Regional | 11 | Number | 2024 |
| Addresses with sports function | Regional | 10 | Number | 2024 |
| Addresses with retail function | Regional | 116 | Number | 2024 |
| Addresses with other usage function | Regional | 367 | Number | 2024 |
| Residential objects | Regional | 7,427 | Number | 2024 |
| Berth locations | Regional | 0 | Number | 2024 |
| Stand locations | Regional | 11 | Number | 2024 |
| Buildings with address | Regional | 5,672 | Number | 2024 |
| Addresses with building | Regional | 7,423 | Number | 2024 |
| Parcels with address | Regional | 4,753 | Number | 2024 |
| Addresses with parcel | Regional | 7,438 | Number | 2024 |
| Addresses within built-up area | Regional | 6,224 | Number | 2024 |
| Addresses outside built-up area | Regional | 1,214 | Number | 2024 |
| Addresses with residential function within built-up area | Regional | 5,342 | Number | 2024 |
| Addresses with residential function outside built-up area | Regional | 1,051 | Number | 2024 |
| Buildings before 1700 | Regional | 0 | Number | 2024 |
| Buildings 1700 to 1900 | Regional | 25 | Number | 2024 |
| Buildings 1900 to 1925 | Regional | 127 | Number | 2024 |
| Buildings 1925 to 1950 | Regional | 803 | Number | 2024 |
| Buildings 1950 to 1970 | Regional | 1,385 | Number | 2024 |
| Buildings 1970 to 1980 | Regional | 980 | Number | 2024 |
| Buildings 1980 to 1990 | Regional | 697 | Number | 2024 |
| Buildings 1990 to 2000 | Regional | 709 | Number | 2024 |
| Buildings 2000 to 2010 | Regional | 212 | Number | 2024 |
| Buildings 2010 to 2020 | Regional | 316 | Number | 2024 |
| Buildings 2020 and later | Regional | 418 | Number | 2024 |
| Buildings built before 1700 | Regional | 0 | Number | 2024 |
| Buildings built from 1700 to 1900 | Regional | 32 | Number | 2024 |
| Buildings built from 1900 to 1925 | Regional | 146 | Number | 2024 |
| Buildings built from 1925 to 1950 | Regional | 878 | Number | 2024 |
| Buildings built from 1950 to 1970 | Regional | 1,680 | Number | 2024 |
| Buildings built from 1970 to 1980 | Regional | 1,042 | Number | 2024 |
| Buildings built from 1980 to 1990 | Regional | 957 | Number | 2024 |
| Buildings built from 1990 to 2000 | Regional | 1,141 | Number | 2024 |
| Buildings built from 2000 to 2010 | Regional | 542 | Number | 2024 |
| Buildings built from 2010 to 2020 | Regional | 521 | Number | 2024 |
| Buildings built from 2020 onwards | Regional | 484 | Number | 2024 |
| Undetermined energy label | Energy consumption | 1,243 | Number | 2024 |
| Provisional energy label | Energy consumption | 2,778 | Number | 2024 |
| Final energy labels | Energy consumption | 3,417 | Number | 2024 |
| Energy label A+++++ | Energy consumption | 0 | Number | 2024 |
| Energy label A++++ | Energy consumption | 2 | Number | 2024 |
| Energy label A+++ | Energy consumption | 21 | Number | 2024 |
| Energy label A++ | Energy consumption | 12 | Number | 2024 |
| Energy label A+ | Energy consumption | 33 | Number | 2024 |
| Energy label A | Energy consumption | 1,219 | Number | 2024 |
| Energy label B | Energy consumption | 961 | Number | 2024 |
| Energy label C | Energy consumption | 1,983 | Number | 2024 |
| Energy label D | Energy consumption | 524 | Number | 2024 |
| Energy label E | Energy consumption | 524 | Number | 2024 |
| Energy label F | Energy consumption | 482 | Number | 2024 |
| Energy label G | Energy consumption | 434 | Number | 2024 |
| Apartment dwelling type | Houses | 1,554 | Number | 2024 |
| Terraced or linked dwelling type | Houses | 2,714 | Number | 2024 |
| Corner dwelling type | Houses | 1,050 | Number | 2024 |
| Semi-detached dwelling type | Houses | 385 | Number | 2024 |
| Detached dwelling type | Houses | 690 | Number | 2024 |
| Different dwelling type | Houses | 0 | Number | 2024 |
| Unknown dwelling type | Houses | 0 | Number | 2024 |
| Not applicable dwelling type | Houses | 1,034 | Number | 2024 |
| Zipcode area | Regional | 2681AA-2681ZZ | Name | 2024 |
| Most common zipcode | Regional | 2681 | Name | 2024 |
| Coverage percentage most common zipcode | Regional | 100% | Percentage | 2024 |
| Crime theft | Crime | 192 | Number | 2023 |
| Crime violence and sexual abuse | Crime | 32 | Number | 2023 |
| Crime environmental | Crime | 2 | Number | 2023 |
| Crime scam | Crime | 59 | Number | 2023 |
| Crime traffic | Crime | 98 | Number | 2023 |
| Crime destruction | Crime | 41 | Number | 2023 |
| Crime other | Crime | 14 | Number | 2023 |
| Crime total | Crime | 438 | Number | 2023 |
| Traffic accidents deadly | Traffic accidents | 0 | Number | 2022 |
| Traffic accidents injuries | Traffic accidents | 37 | Number | 2022 |
| Traffic accidents only material damage | Traffic accidents | 31 | Number | 2022 |
| Traffic accidents total | Traffic accidents | 68 | Number | 2022 |
| Distance to general practitioner | Proximity | 0.90 | Average in Euro | 2023 |
| General practitioners within 1 km | Proximity | 1 | Average number | 2023 |
| General practitioners within 3 km | Proximity | 3 | Average number | 2023 |
| General practitioners within 5 km | Proximity | 9 | Average number | 2023 |
| Distance to general practitioner post | Proximity | 5.70 | Average in Euro | 2023 |
| Pharmacy distance | Proximity | 0.90 | Average in Euro | 2023 |
| Hospital with outpatient clinic distance | Proximity | 4.00 | Average in Euro | 2023 |
| Hospitals with outpatient clinic within 5 km | Proximity | 1 | Average number | 2023 |
| Hospitals with outpatient clinic within 10 km | Proximity | 3 | Average number | 2023 |
| Hospitals with outpatient clinic within 20 km | Proximity | 11 | Average number | 2023 |
| Hospital distance | Proximity | 7.80 | Average in Euro | 2023 |
| Hospitals within 5 km | Proximity | 0 | Average number | 2023 |
| Hospitals within 10 km | Proximity | 1 | Average number | 2023 |
| Hospitals within 20 km | Proximity | 6 | Average number | 2023 |
| Large supermarket distance | Proximity | 0.80 | Average in Euro | 2023 |
| Large supermarkets within 1 km | Proximity | 3 | Average number | 2023 |
| Large supermarkets within 3 km | Proximity | 5 | Average number | 2023 |
| Large supermarkets within 5 km | Proximity | 11 | Average number | 2023 |
| Other daily groceries distance | Proximity | 0.90 | Average in Euro | 2023 |
| Other daily groceries within 1 km | Proximity | 7 | Average number | 2023 |
| Other daily groceries within 3 km | Proximity | 14 | Average number | 2023 |
| Other daily groceries within 5 km | Proximity | 44 | Average number | 2023 |
| Department store distance | Proximity | 1.30 | Average in Euro | 2023 |
| Department stores within 5 km | Proximity | 2 | Average number | 2023 |
| Department stores within 10 km | Proximity | 11 | Average number | 2023 |
| Department stores within 20 km | Proximity | 30 | Average number | 2023 |
| Cafe distance | Proximity | 1.30 | Average in Euro | 2023 |
| Cafes within 1 km | Proximity | 0 | Average number | 2023 |
| Cafes within 3 km | Proximity | 1 | Average number | 2023 |
| Cafes within 5 km | Proximity | 6 | Average number | 2023 |
| Snack bar distance | Proximity | 0.70 | Average in Euro | 2022 |
| Snack bars within 1 km | Proximity | 2 | Average number | 2022 |
| Snack bars within 3 km | Proximity | 6 | Average number | 2022 |
| Snack bars within 5 km | Proximity | 23 | Average number | 2022 |
| Restaurant distance | Proximity | 0.70 | Average in Euro | 2023 |
| Restaurants within 1 km | Proximity | 5 | Average number | 2023 |
| Restaurants within 3 km | Proximity | 11 | Average number | 2023 |
| Restaurants within 5 km | Proximity | 39 | Average number | 2023 |
| Hotel distance | Proximity | 2 | Average number | 2022 |
| Hotels within 5 km | Proximity | 5.10 | Average in Euro | 2022 |
| Hotels within 10 km | Proximity | 14 | Average number | 2022 |
| Hotels within 20 km | Proximity | 122 | Average number | 2022 |
| Daycare distance | Proximity | 0.70 | Average in Euro | 2023 |
| Daycares within 1 km | Proximity | 2 | Average number | 2023 |
| Daycares within 3 km | Proximity | 7 | Average number | 2023 |
| Daycares within 5 km | Proximity | 23 | Average number | 2023 |
| After-school care distance | Proximity | 0.70 | Average in Euro | 2023 |
| After-school care within 1 km | Proximity | 2 | Average number | 2023 |
| After-school care within 3 km | Proximity | 6 | Average number | 2023 |
| After-school care within 5 km | Proximity | 22 | Average number | 2023 |
| Primary education distance | Proximity | 0.80 | Average in Euro | 2023 |
| Primary education within 1 km | Proximity | 2 | Average number | 2023 |
| Primary education within 3 km | Proximity | 4 | Average number | 2023 |
| Primary education within 5 km | Proximity | 15 | Average number | 2023 |
| Secondary education total distance | Proximity | 3.20 | Average in Euro | 2023 |
| Secondary education total within 3 km | Proximity | 1 | Average number | 2023 |
| Secondary education total within 5 km | Proximity | 5 | Average number | 2023 |
| Secondary education total within 10 km | Proximity | 24 | Average number | 2023 |
| Secondary education VMBO distance | Proximity | 3.20 | Average in Euro | 2023 |
| Secondary education VMBO within 3 km | Proximity | 1 | Average number | 2023 |
| Secondary education VMBO within 5 km | Proximity | 5 | Average number | 2023 |
| Secondary education VMBO within 10 km | Proximity | 20 | Average number | 2023 |
| Secondary education HAVO VWO distance | Proximity | 3.60 | Average in Euro | 2023 |
| Secondary education HAVO VWO within 3 km | Proximity | 0 | Average number | 2023 |
| Secondary education HAVO VWO within 5 km | Proximity | 1 | Average number | 2023 |
| Secondary education HAVO VWO within 10 km | Proximity | 9 | Average number | 2023 |
| Public green space total distance | Proximity | 0.70 | Average in Euro | 2017 |
| Park or garden distance | Proximity | 2.10 | Average in Euro | 2017 |
| Day recreational area distance | Proximity | 2.80 | Average in Euro | 2017 |
| Forest distance | Proximity | 1.20 | Average in Euro | 2017 |
| Open natural area total distance | Proximity | 0.90 | Average in Euro | 2017 |
| Open dry natural area distance | Proximity | 0.90 | Average in Euro | 2017 |
| Open wet natural area distance | Proximity | 9.20 | Average in Euro | 2017 |
| Semi-public green space total distance | Proximity | 0.90 | Average in Euro | 2017 |
| Sports field distance | Proximity | 1.20 | Average in Euro | 2017 |
| Allotment garden distance | Proximity | 2.90 | Average in Euro | 2017 |
| Residential recreational area distance | Proximity | 2.00 | Average in Euro | 2017 |
| Cemetery distance | Proximity | 1.00 | Average in Euro | 2017 |
| Recreational inland water distance | Proximity | 2.80 | Average in Euro | 2017 |
| Main road access distance | Proximity | 0.90 | Average in Euro | 2023 |
| Train station distance | Proximity | 11.50 | Average in Euro | 2023 |
| Major transfer station distance | Proximity | 12.60 | Average in Euro | 2023 |
| Library distance | Proximity | 1.00 | Average in Euro | 2023 |
| Swimming pool distance | Proximity | 1.70 | Average in Euro | 2023 |
| Artificial ice rink distance | Proximity | 6.60 | Average in Euro | 2023 |
| Museum distance | Proximity | 6.60 | Average in Euro | 2023 |
| Museums within 5 km | Proximity | 0 | Average number | 2023 |
| Museums within 10 km | Proximity | 2 | Average number | 2023 |
| Museums within 20 km | Proximity | 35 | Average number | 2023 |
| Performing arts distance | Proximity | 5.20 | Average in Euro | 2023 |
| Performing arts within 5 km | Proximity | 0 | Average number | 2023 |
| Performing arts within 10 km | Proximity | 3 | Average number | 2023 |
| Performing arts within 20 km | Proximity | 26 | Average number | 2023 |
| Pop venue distance | Proximity | 12 | Average number | 2023 |
| Cinema distance | Proximity | 11.60 | Average in Euro | 2023 |
| Cinemas within 5 km | Proximity | 0 | Average number | 2023 |
| Cinemas within 10 km | Proximity | 0 | Average number | 2023 |
| Cinemas within 20 km | Proximity | 9 | Average number | 2023 |
| Sauna distance | Proximity | 5 | Average number | 2023 |
| Tanning salon distance | Proximity | 4 | Average number | 2023 |
| Attraction distance | Proximity | 2.90 | Average in Euro | 2023 |
| Attractions within 10 km | Proximity | 2 | Average number | 2023 |
| Attractions within 20 km | Proximity | 15 | Average number | 2023 |
| Attractions within 50 km | Proximity | 49 | Average number | 2023 |
| Fire station distance | Proximity | 1 | Average number | 2023 |
Table with more than 250 topics for the borough Monster.
The table below shows the latest available data for the borough Monster for over 250 topics! The rows are sorted by category and subject.
Table usage:
- Search the table using the search field above the table. This will filter the rows of the table so that only rows containing the search term are displayed.
- Sort the contents of the table by clicking on the column headers.
- Navigate through the table using the buttons at the bottom right of the table.
- On small screens: Scroll the table horizontally to see all columns (the first column remains fixed in view).
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