Statistics neighbourhood Wilhelminahaven

Statistics neighbourhood Wilhelminahaven

Check out data on over 250 topics about the neighbourhood Wilhelminahaven in municipality Schiedam. Explore figures, tables, and charts, complete with clear definitions for each topic. Dive into the data now!
Check out data on over 250 topics about the neighbourhood Wilhelminahaven in municipality Schiedam. Explore figures, tables, and charts, complete with clear definitions for each topic. Dive into the data now!

View many more figures and charts for the neighbourhood Wilhelminahaven on the Dutch version of this page at AlleCijfers.nl.

Population per year
The neighbourhood Wilhelminahaven has 15 inhabitants in 2024.








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


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

JaarPopulation Neighbourhood Wilhelminahaven% difference
202415-25%
202320-4,76%
202221-16%
2021250,0%
20202519%
201921-16%
20182547%
201717-19%
2016210,0%
201521-16%
2014250,0%
201325geen data

The population of the neighbourhood Wilhelminahaven has changed with 10 persons from 25 persons in 2013 to 15 persons in 2024 (that is a change of 40%). The average difference per year over the entire period from 2013 to 2024 was -1 persons (-2,79%).

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

Population at the map of the neighbourhood Wilhelminahaven
Map of the surroundings of the neighbourhood Wilhelminahaven.
Image of the neighbourhood Wilhelminahaven at the map. This image is used as introduction to this page. This page shows a lot of information about the population in the neighbourhood Wilhelminahaven (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 Schiedamse Havens with the population per neighbourhood in 2024. The numbers at the map represent the following neighbourhoods: 1: Nieuw-Mathenesse, 2: Vijfsluizen, 3: Wilhelminahaven

Explore the statistics for all 84 regions within the municipality Schiedam using the overview page for Schiedam.

Regional overview

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House characteristics
There are 9 houses in de buurt Wilhelminahaven.
Information about the homes in this region based on open data from the Dutch Central Bureau of Statistics. Overview image with 4 pie charts.

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 neighbourhood Wilhelminahaven:

Houses by ownership:
Homes for sale are owned by the resident (s) or used as a second home. Rental houses are not occupied by the owner of the house. Rental homes are divided into (1) homes owned by a housing association or other institution. And (2) rental properties owned by companies, individuals and investors.
Houses by occupation:
A house is occupied if, according to the Personal Records Database, at least 1 person was registered at the corresponding address. All other homes are considered uninhabited.
Houses by type:
A house is defined as "multi-family" when it forms a whole building together with other houses or (business) spaces. This includes flats, gallery houses, ground floor and upstairs apartments, and apartments and houses above business premises. All other homes are defined as the "single-family" type.
Houses by contruction period:
The year of construction is the year in which a building containing a home was originally delivered. The construction period as used here has two possible values: (1) built in or after the year 2000 and (2) built before the year 2000.
Average house value per year in the neighbourhood Wilhelminahaven

There is no information available about the average WOZ property value in the neighbourhood Wilhelminahaven. The average WOZ value for the properties in the municipality Schiedam can be found on the page about the municipality Schiedam.

Energy labels
The most common energy labels in Neighbourhood Wilhelminahaven are A (41 addresses) and C (15 addresses).








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The chart above shows the number of addresses per type of energy label in the neighbourhood Wilhelminahaven. 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, 2025.

An energy label indicates how energy-efficient a building is. G is the worst energy label, and A+++++ is the best. Energy label A is most common in Neighbourhood Wilhelminahaven: 41 addresses have energy label A. The download with detailed information for the municipality Schiedam 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 10 traffic accidents in total in Neighbourhood Wilhelminahaven in 2023.








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The above graph shows the development of the number of traffic accidents in the neighbourhood Wilhelminahaven. 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 neighbourhood Wilhelminahaven.

Figures on traffic accidents

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

Police data about crime

The four charts below show the recorded crimes based on data from the police and the CBS for the neighbourhood Wilhelminahaven. 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 May 15th, 2025.

Total recorded crime per month or per year
In 2024 a total of 49 crimes were registered in Neighbourhood Wilhelminahaven.








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Total number of registered crimes in the neighbourhood Wilhelminahaven, from 2012 to 2024 inclusive (when displaying the data per year) or November 2023 to April 2025 (when displaying the data per month).

In the neighbourhood Wilhelminahaven a total of 490 crimes have been registered from 2012 to 2024. These crimes are classified into 33 different types of crime. In 2024 the police recorded 49 crimes in the neighbourhood Wilhelminahaven. Use the filter above the graph to show the data per month or per year.

Crimes by type of crime
The most common types of crimes in Neighbourhood Wilhelminahaven in 2024 are Theft from/of motor vehicles (11 crimes) en Theft/burglary businesses etc. (8 crimes).








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Number of crimes for the ten most common types of crimes, 2024, neighbourhood Wilhelminahaven.

Crime definitions (Dutch)
Total crime per month
In April 2025 a total of 2 crimes were registered in Neighbourhood Wilhelminahaven.
Image of a heatmap (a visual representation of data using colors to represent values) showing the total number of crimes in the neighbourhood Wilhelminahaven per month and per year.

The heatmap above provides a visual representation of the total number of crimes registered by the police per month in the neighbourhood Wilhelminahaven 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 Schiedam.

Crimes per 1,000 inhabitants
There were 2,000 crimes per 1,000 inhabitants of the type ‘diefstal’ in 2024 in Neighbourhood Wilhelminahaven.








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Crime: number of crimes per 1,000 inhabitants in 2024 in the neighbourhood Wilhelminahaven.

The chart shows the latest data on the number of crimes per 1,000 inhabitants for the neighbourhood Wilhelminahaven. 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
45 babies per 1,000 inhabitants were born in 2023 in Neighbourhood Wilhelminahaven.








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The chart above shows the development of the number of live babies born per 1,000 inhabitants the neighbourhood Wilhelminahaven.

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

Birth figures

The figures on the relative number of births are based on data from CBS. The basis for this is the number of live births from January 1 to December 31 in relation to the number of inhabitants on January 1 of a year in the neighbourhood Wilhelminahaven. 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
0 people per 1,000 inhabitants died in 2023 in Neighbourhood Wilhelminahaven.








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The graph above shows the development of the number of deaths per 1,000 inhabitants the neighbourhood Wilhelminahaven.

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 codeRegionalBU06060202Code2024
Region nameRegionalWilhelminahavenName2024
Region typeRegionalBuurtCategorical type2024
Sort codeRegional06060202Code2024
InhabitantsPopulation15Number2024
MenPopulation5Number2024
WomenPopulation10Number2024
Ages 0 - 15Population0Number2024
Ages 15 - 25Population0Number2024
Ages 25 - 45Population0Number2024
Ages 45 - 65Population10Number2024
Ages 65 and upPopulation0Number2024
Not marriedPopulation10Number2024
MarriedPopulation0Number2024
DivorcedPopulation0Number2024
WidowedPopulation0Number2024
Origin NetherlandsMigration10Number2024
Origin outside NetherlandsMigration5Number2024
Origin EuropeMigration0Number2024
Origin outside EuropeMigration5Number2024
Born in NetherlandsMigration5Number2024
Born in Netherlands origin EuropeMigration0Number2024
Born in Netherlands origin outside EuropeMigration0Number2024
Born outside Netherlands origin EuropeMigration0Number2024
Born outside Netherlands origin outside EuropeMigration0Number2024
Native DutchMigration13Number2022
Western totalMigration4Number2022
Non-western totalMigration4Number2022
MoroccoMigration0Number2022
Dutch Antilles and ArubaMigration0Number2022
SurinameMigration0Number2022
TurkeyMigration0Number2022
Other non-westernMigration4Number2022
Births totalPopulation0Number2023
Births relativePopulation45Number per 1000 inhabitants2023
Mortality totalPopulation0Number2023
Mortality relativePopulation0Number per 1000 inhabitants2023
Households totalHouseholds5Number2024
Single-person householdsHouseholds0Number2024
Households without childrenHouseholds0Number2024
Households with childrenHouseholds5Number2024
Average household sizeHouseholds2.6Average number2024
Population densityRegional16Number per km²2024
Housing stockHouses9Number2024
Newly built dwellingsHousesno dataNumberno data
Non-dwelling stockHouses133Number2024
Newly built non-dwellingsHousesno dataNumberno data
Average house valueHousesno dataAverage numberno data
Percentage single-family housesHousesno dataPercentageno data
Percentage terraced houseHousesno dataPercentageno data
Percentage end-of-terrace houseHousesno dataPercentageno data
Percentage semi-detached houseHousesno dataPercentageno data
Percentage detached houseHousesno dataPercentageno data
Percentage multi-family housesHousesno dataPercentageno data
Percentage inhabitedHousesno dataPercentageno data
Percentage uninhabitedHousesno dataPercentageno data
Percentage privately owned homesHousesno dataPercentageno data
Percentage rented homesHousesno dataPercentageno data
Percentage rental-housing by corporationHousesno dataPercentageno data
Percentage homes other rentalHousesno dataPercentageno data
Ownership unknownHousesno dataPercentageno data
Percentage homes built before 2000Housesno dataPercentageno data
Percentage homes built since 2000Housesno dataPercentageno data
Percentage homes built more than ten years agoHousesno dataPercentageno data
Percentage homes built in the past ten yearsHousesno dataPercentageno data
Average electricity usage totalEnergy consumption4,120Average number per km²2023
Average electricity usage apartmentEnergy consumption3,930Average number per km²2022
Average electricity usage terraced homesEnergy consumptionno dataAverage number per km²no data
Average electricity usage corner homesEnergy consumptionno dataAverage number per km²no data
Average electricity usage semi-detached homesEnergy consumptionno dataAverage number per km²no data
Average electricity usage detached homesEnergy consumptionno dataAverage number per km²no data
Average electricity usage rental homesEnergy consumptionno dataAverage number per km²no data
Average electricity usage owner-occupied homesEnergy consumption4,330Average number per km²2022
Average natural gas usage totalEnergy consumption1,390Average in kWh2023
Average natural gas usage apartmentEnergy consumption1,370Average in kWh2022
Average natural gas usage terraced homesEnergy consumptionno dataAverage in kWhno data
Average natural gas usage corner homesEnergy consumptionno dataAverage in kWhno data
Average natural gas usage semi-detached homesEnergy consumptionno dataAverage in kWhno data
Average natural gas usage detached homesEnergy consumptionno dataAverage in kWhno data
Average natural gas usage rental homesEnergy consumptionno dataAverage in kWhno data
Average natural gas usage owner-occupied homesEnergy consumption1,500Average in kWh2022
Percentage homes with district heatingEnergy consumption0%Percentage2014
Primary school studentsEducation0Number2023
Secondary school studentsEducation0Number2023
Vocational education studentsEducation0Number2023
Higher professional education studentsEducation0Number2023
University studentsEducation0Number2023
Basic education levelEducationno dataNumberno data
Intermediate education levelEducationno dataNumberno data
Higher education levelEducationno dataNumberno data
Net labor participationIncomeno dataPercentageno data
Percentage employeesIncomeno dataPercentageno data
Percentage self-employedIncomeno dataPercentageno data
Number of income receiversIncome0Number2023
Average income per income recipientIncomeno dataAverage numberno data
Average income per inhabitantIncomeno dataAverage numberno data
40% persons with lowest incomeIncomeno dataPercentageno data
20% persons with highest incomeIncomeno dataPercentageno data
Average standardized household incomeIncomeno datax 1,000 Eurono data
40% households with lowest incomeIncomeno dataPercentageno data
20% households with highest incomeIncomeno dataPercentageno data
Households with a low incomeIncomeno dataPercentageno data
Percentage households at social minimumIncomeno dataPercentageno data
Households up to 110% of the social minimumIncomeno dataPercentageno data
Households up to 120% of the social minimumIncomeno dataPercentageno data
Median capital assets of private householdsIncomeno datax 1,000 Eurono data
Persons with social security welfareIncomeno dataNumberno data
Persons with social security for incapacity for workIncomeno dataNumberno data
Persons with social security for unemployedIncomeno dataNumberno data
Persons with social security for elderlyIncomeno dataNumberno data
Young people with youth care in kindPopulationno dataNumberno data
Percentage young people with youth carePopulationno dataPercentageno data
WMO clientsPopulationno dataNumberno data
WMO clients relativePopulationno dataNumber per 1000 inhabitantsno data
Businesses totalBusiness135Number2024
Businesses agriculture, forestry, fishingBusiness0Number2024
Businesses industry and energyBusiness35Number2024
Businesses trade and cateringBusiness30Number2024
Businesses transport, information, communicationBusiness15Number2024
Businesses financial services, real estateBusiness5Number2024
Businesses business servicesBusiness35Number2024
Government, education, careBusiness5Number2024
Businesses culture, recreation, other servicesBusiness5Number2024
Passenger cars totalTransport160Number2024
Passenger cars petrolTransport80Number2024
Passenger cars other fuelTransport75Number2024
Passenger cars per householdTransport32Number2024
Passenger cars per surfaceRegional172Number2024
MotorcyclesTransport5Number2024
Surface totalRegional179Number of hectares2024
Surface landRegional93Number of hectares2024
Surface waterRegional85Number of hectares2024
Degree of urbanizationRegional3Indicator 1-52024
Address densityRegional1,462Average distance in km2024
Addresses totalRegional141Number2025
Addresses with postal codeRegional141Number2025
Addresses with residential functionRegional9Number2025
Addresses with meeting functionRegional4Number2025
Addresses with cell functionRegional0Number2025
Addresses with healthcare functionRegional2Number2025
Addresses with industrial functionRegional78Number2025
Addresses with office functionRegional42Number2025
Addresses with lodging functionRegional1Number2025
Addresses with educational functionRegional1Number2025
Addresses with sports functionRegional1Number2025
Addresses with retail functionRegional5Number2025
Addresses with other usage functionRegional17Number2025
Residential objectsRegional141Number2025
Berth locationsRegional0Number2025
Stand locationsRegional0Number2025
Buildings with addressRegional91Number2025
Addresses with buildingRegional141Number2025
Parcels with addressRegional104Number2025
Addresses with parcelRegional141Number2025
Addresses within built-up areaRegional141Number2025
Addresses outside built-up areaRegional0Number2025
Addresses with residential function within built-up areaRegional9Number2025
Addresses with residential function outside built-up areaRegional0Number2025
Buildings before 1700Regional0Number2025
Buildings 1700 to 1900Regional2Number2025
Buildings 1900 to 1925Regional3Number2025
Buildings 1925 to 1950Regional2Number2025
Buildings 1950 to 1970Regional9Number2025
Buildings 1970 to 1980Regional1Number2025
Buildings 1980 to 1990Regional16Number2025
Buildings 1990 to 2000Regional36Number2025
Buildings 2000 to 2010Regional17Number2025
Buildings 2010 to 2020Regional2Number2025
Buildings 2020 and laterRegional3Number2025
Buildings built before 1700Regional0Number2025
Buildings built from 1700 to 1900Regional2Number2025
Buildings built from 1900 to 1925Regional4Number2025
Buildings built from 1925 to 1950Regional2Number2025
Buildings built from 1950 to 1970Regional13Number2025
Buildings built from 1970 to 1980Regional1Number2025
Buildings built from 1980 to 1990Regional18Number2025
Buildings built from 1990 to 2000Regional43Number2025
Buildings built from 2000 to 2010Regional40Number2025
Buildings built from 2010 to 2020Regional15Number2025
Buildings built from 2020 onwardsRegional3Number2025
Undetermined energy labelEnergy consumption56Number2025
Provisional energy labelEnergy consumption31Number2025
Final energy labelsEnergy consumption54Number2025
Energy label A+++++Energy consumption0Number2025
Energy label A++++Energy consumption2Number2025
Energy label A+++Energy consumption0Number2025
Energy label A++Energy consumption8Number2025
Energy label A+Energy consumption7Number2025
Energy label AEnergy consumption41Number2025
Energy label BEnergy consumption6Number2025
Energy label CEnergy consumption15Number2025
Energy label DEnergy consumption2Number2025
Energy label EEnergy consumption0Number2025
Energy label FEnergy consumption1Number2025
Energy label GEnergy consumption3Number2025
Apartment dwelling typeHouses3Number2025
Terraced or linked dwelling typeHouses0Number2025
Corner dwelling typeHouses0Number2025
Semi-detached dwelling typeHouses2Number2025
Detached dwelling typeHouses4Number2025
Different dwelling typeHouses0Number2025
Unknown dwelling typeHouses0Number2025
Not applicable dwelling typeHouses132Number2025
Zipcode areaRegional3114EL-3115JDName2025
Most common zipcodeRegional3115Name2025
Coverage percentage most common zipcodeRegional99%Percentage2025
Crime theftCrime30Number2024
Crime violence and sexual abuseCrime1Number2024
Crime environmentalCrime0Number2024
Crime scamCrime1Number2024
Crime trafficCrime12Number2024
Crime destructionCrime2Number2024
Crime otherCrime3Number2024
Crime totalCrime49Number2024
Traffic accidents deadlyTraffic accidents1Number2023
Traffic accidents injuriesTraffic accidents2Number2023
Traffic accidents only material damageTraffic accidents7Number2023
Traffic accidents totalTraffic accidents10Number2023
Distance to general practitionerProximity1.6Average in Euro2023
General practitioners within 1 kmProximity0Average number2023
General practitioners within 3 kmProximity10Average number2023
General practitioners within 5 kmProximity23Average number2023
Distance to general practitioner postProximity3.0Average in Euro2023
Pharmacy distanceProximity1.1Average in Euro2023
Hospital with outpatient clinic distanceProximity3.0Average in Euro2023
Hospitals with outpatient clinic within 5 kmProximity1Average number2023
Hospitals with outpatient clinic within 10 kmProximity8Average number2023
Hospitals with outpatient clinic within 20 kmProximity26Average number2023
Hospital distanceProximity3.0Average in Euro2023
Hospitals within 5 kmProximity1Average number2023
Hospitals within 10 kmProximity4Average number2023
Hospitals within 20 kmProximity9Average number2023
Large supermarket distanceProximity1.3Average in Euro2023
Large supermarkets within 1 kmProximity0Average number2023
Large supermarkets within 3 kmProximity19Average number2023
Large supermarkets within 5 kmProximity41Average number2023
Other daily groceries distanceProximity1.0Average in Euro2023
Other daily groceries within 1 kmProximity1Average number2023
Other daily groceries within 3 kmProximity85Average number2023
Other daily groceries within 5 kmProximity200Average number2023
Department store distanceProximity2.6Average in Euro2023
Department stores within 5 kmProximity2Average number2023
Department stores within 10 kmProximity10Average number2023
Department stores within 20 kmProximity46Average number2023
Cafe distanceProximity1.0Average in Euro2023
Cafes within 1 kmProximity1Average number2023
Cafes within 3 kmProximity42Average number2023
Cafes within 5 kmProximity83Average number2023
Snack bar distanceProximity0.8Average in Euro2022
Snack bars within 1 kmProximity1Average number2022
Snack bars within 3 kmProximity54Average number2022
Snack bars within 5 kmProximity118Average number2022
Restaurant distanceProximity0.6Average in Euro2023
Restaurants within 1 kmProximity2Average number2023
Restaurants within 3 kmProximity66Average number2023
Restaurants within 5 kmProximity128Average number2023
Hotel distanceProximity1Average number2022
Hotels within 5 kmProximity8Average in Euro2022
Hotels within 10 kmProximity73Average number2022
Hotels within 20 kmProximity121Average number2022
Daycare distanceProximity1.0Average in Euro2023
Daycares within 1 kmProximity1Average number2023
Daycares within 3 kmProximity32Average number2023
Daycares within 5 kmProximity78Average number2023
After-school care distanceProximity1.0Average in Euro2023
After-school care within 1 kmProximity0Average number2023
After-school care within 3 kmProximity24Average number2023
After-school care within 5 kmProximity58Average number2023
Primary education distanceProximity1.0Average in Euro2023
Primary education within 1 kmProximity1Average number2023
Primary education within 3 kmProximity16Average number2023
Primary education within 5 kmProximity37Average number2023
Secondary education total distanceProximity1.6Average in Euro2023
Secondary education total within 3 kmProximity5Average number2023
Secondary education total within 5 kmProximity11Average number2023
Secondary education total within 10 kmProximity49Average number2023
Secondary education VMBO distanceProximity1.6Average in Euro2023
Secondary education VMBO within 3 kmProximity3Average number2023
Secondary education VMBO within 5 kmProximity8Average number2023
Secondary education VMBO within 10 kmProximity37Average number2023
Secondary education HAVO VWO distanceProximity1.7Average in Euro2023
Secondary education HAVO VWO within 3 kmProximity3Average number2023
Secondary education HAVO VWO within 5 kmProximity5Average number2023
Secondary education HAVO VWO within 10 kmProximity23Average number2023
Public green space total distanceProximity0.3Average in Euro2017
Park or garden distanceProximity0.3Average in Euro2017
Day recreational area distanceProximity3.0Average in Euro2017
Forest distanceProximity4.4Average in Euro2017
Open natural area total distanceProximity1.0Average in Euro2017
Open dry natural area distanceProximity10Average in Euro2017
Open wet natural area distanceProximity1.0Average in Euro2017
Semi-public green space total distanceProximity0.7Average in Euro2017
Sports field distanceProximity0.7Average in Euro2017
Allotment garden distanceProximity1.7Average in Euro2017
Residential recreational area distanceProximity6.3Average in Euro2017
Cemetery distanceProximity1.0Average in Euro2017
Recreational inland water distanceProximity1.1Average in Euro2017
Main road access distanceProximity1.0Average in Euro2023
Train station distanceProximity3.3Average in Euro2023
Major transfer station distanceProximity7.6Average in Euro2023
Library distanceProximity2.0Average in Euro2023
Swimming pool distanceProximity1.1Average in Euro2023
Artificial ice rink distanceProximity12Average in Euro2023
Museum distanceProximity2.1Average in Euro2023
Museums within 5 kmProximity5Average number2023
Museums within 10 kmProximity20Average number2023
Museums within 20 kmProximity32Average number2023
Performing arts distanceProximity2.3Average in Euro2023
Performing arts within 5 kmProximity4Average number2023
Performing arts within 10 kmProximity18Average number2023
Performing arts within 20 kmProximity33Average number2023
Pop venue distanceProximity3Average number2023
Cinema distanceProximity2.3Average in Euro2023
Cinemas within 5 kmProximity3Average number2023
Cinemas within 10 kmProximity10Average number2023
Cinemas within 20 kmProximity14Average number2023
Sauna distanceProximity2Average number2023
Tanning salon distanceProximity2Average number2023
Attraction distanceProximity3.4Average in Euro2023
Attractions within 10 kmProximity6Average number2023
Attractions within 20 kmProximity20Average number2023
Attractions within 50 kmProximity51Average number2023
Fire station distanceProximity3Average number2023

Table with more than 250 topics for the neighbourhood Wilhelminahaven.

👆 The table above shows the latest available data for the neighbourhood Wilhelminahaven for over 250 topics. The most recent update of the data was done at March 27th, 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