Statistics neighbourhood De Groote Vliet

Statistics neighbourhood De Groote Vliet

Check out data on over 250 topics about the neighbourhood De Groote Vliet in municipality Den Bosch. 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 De Groote Vliet in municipality Den Bosch. 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 De Groote Vliet on the Dutch version of this page at AlleCijfers.nl.

Population per year
The neighbourhood De Groote Vliet has 35 inhabitants in 2025.

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


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

JaarPopulation Neighbourhood De Groote Vliet% difference
202535-12%
2024400,0%
20234014%
2022350,0%
2021350,0%
20203517%
201930-14%
201835inf%
20170geen data
20160geen data
20150geen data
20140geen data
20130geen data

Het number of inhabitants in the neighbourhood De Groote Vliet has changed with 35 inhabitants from 0 inhabitants in 2013 to 35 inhabitants in 2025 (that is a change of 35%). The average difference per year over the entire period from 2013 to 2025 was 3 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 neighbourhood De Groote Vliet
Map of the surroundings of the neighbourhood De Groote Vliet.
Image of the neighbourhood De Groote Vliet 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 De Groote Vliet (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 De Groote Wielen with the population per neighbourhood in 2025. The numbers at the map represent the following neighbourhoods: 1: Landelijk gebied De Groote Wielen, 2: De Stek, 3: De Beemden, 4: Centrum De Groote Wielen, 5: De Lanen, 6: De Watertuinen, 7: Broekland, 8: Overig landelijk gebied De Groote Wielen, 9: De Hoven, 10: Vlietdijk, 11: De Groote Vliet, 12: Brabantpoort.

Regional overview

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House characteristics
There are 32 houses in de buurt De Groote Vliet.
Information about the homes in this region based on open data from the Dutch Central Bureau of Statistics. Overview image with 4 pie charts.

The four pie charts above show the percentage distribution of dwellings by various housing characteristics. Available categories include ownership, occupancy, dwelling type, building type, and construction period. The year to which the data apply is shown at the center of the chart. Click the image to view a larger version.

See the explanation below for the definitions of the housing characteristics.

Definitions of the characteristics of the dwellings in the neighbourhood De Groote Vliet:

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 De Groote Vliet
The average property value in The neighbourhood De Groote Vliet was €273.148 in 2013.

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The chart above shows the average WOZ property value per year in the neighbourhood De Groote Vliet.


The table below shows the average WOZ house value per year based on data from the CBS for the neighbourhood De Groote Vliet:

JaarAverage property value Neighbourhood De Groote Vliet% difference
2025€82.00011%
2024€74.0001,37%
2023€73.0004,29%
2022€70.00011%
2021€63.00012%
2020€56.0003,7%
2019€54.000-78%
2018€250.0000,0%
2017€250.0000,0%
2016€250.0000,0%
2015€250.000-1,82%
2014€254.630-6,8%
2013€273.148geen data

The average property value in the neighbourhood De Groote Vliet has changed with €191.148 from €273.148 in 2013 to €82.000 in 2025 (that is a change of 70%). The average difference per year over the entire period from 2013 to 2025 was €-15.929 (-3,6%).

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 Neighbourhood De Groote Vliet: there are 24 addresses with house type % uninhabited.
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The pie chart above shows the number and percentage of dwellings by type in the neighbourhood De Groote Vliet.

The data on types of dwellings are based on the Kadaster housing classification and the Kadaster records on fixed and mobile residential units. The dwelling type is determined using a geographic-algorithmic method for buildings that contain a residential unit (buildings with a residential use function). The data reflect the situation as of 1 januari 2026.

Energy labels
The most common energy labels in Neighbourhood De Groote Vliet are A (40 addresses) and A++ (2 addresses).
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The chart above shows the number of addresses per type of energy label in the neighbourhood De Groote Vliet. 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 A is most common in Neighbourhood De Groote Vliet: 40 addresses have energy label A. The download with detailed information for the municipality Den Bosch 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 6 traffic accidents in total in Neighbourhood De Groote Vliet in 2024.

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The above graph shows the development of the number of traffic accidents in the neighbourhood De Groote Vliet. Use the filter above the graph to choose the display of the number of traffic accidents by the outcome of the accident.


The table below shows the number of traffic accidents in the neighbourhood De Groote Vliet in 2024.

Outcome of traffic accidentsNumber of traffic accidents in 2024
Total6
Material damage6
Personal injury0
Fatal outcome0

The traffic accident dataset BRON is linked to the digital road network. Based on the location of the accidents, it is determined which accidents fall within the neighbourhood De Groote Vliet.

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 De Groote Vliet. 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 39 crimes were registered in Neighbourhood De Groote Vliet.
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Total number of registered crimes in the neighbourhood De Groote Vliet, from 2012 to 2025 inclusive (when displaying the data per year) or July 2024 to December 2025 (when displaying the data per month).

In the neighbourhood De Groote Vliet a total of 376 crimes have been registered from 2012 to 2025. These crimes are classified into 25 different types of crime. In 2025 the police recorded 39 crimes in the neighbourhood De Groote Vliet. 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 De Groote Vliet in 2025 are Other property crimes (12 crimes) en Vandalism or property damage (7 crimes).
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Number of crimes for the ten most common types of crimes, 2025, neighbourhood De Groote Vliet.

Crime definitions (Dutch)
Total crime per month
In December 2025 a total of 2 crimes were registered in Neighbourhood De Groote Vliet.
Image of a heatmap (a visual representation of data using colors to represent values) showing the total number of crimes in the neighbourhood De Groote Vliet 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 De Groote Vliet 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 Den Bosch.

Crimes per 1,000 inhabitants
There were 571 crimes per 1,000 inhabitants of the type ‘diefstal’ in 2025 in Neighbourhood De Groote Vliet.
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Crime: number of crimes per 1,000 inhabitants in 2025 in the neighbourhood De Groote Vliet.

The chart shows the latest data on the number of crimes per 1,000 inhabitants for the neighbourhood De Groote Vliet. 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
27 babies per 1,000 inhabitants were born in 2024 in Neighbourhood De Groote Vliet.
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The chart above shows the development of the number of live babies born per 1,000 inhabitants the neighbourhood De Groote Vliet.

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 De Groote Vliet. 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

There is no mortality data available for the neighbourhood De Groote Vliet. 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 codeRegionalBU07960702Code2025
Region nameRegionalDe Groote VlietName2025
Region typeRegionalBuurtCategorical type2025
Sort codeRegional07960702Code2025
InhabitantsPopulation35Number2025
MenPopulation20Number2025
WomenPopulation15Number2025
Ages 0 - 15Population0Number2025
Ages 15 - 25Population5Number2025
Ages 25 - 45Population15Number2025
Ages 45 - 65Population10Number2025
Ages 65 and upPopulation5Number2025
Not marriedPopulation25Number2025
MarriedPopulation5Number2025
DivorcedPopulation0Number2025
WidowedPopulation0Number2025
% MenPopulation57%Percentage2025
% WomenPopulation43%Percentage2025
% Ages 0 - 15Population0.0%Percentage2025
% Ages 15 - 25Population14%Percentage2025
% Ages 25 - 45Population43%Percentage2025
% Ages 45 - 65Population29%Percentage2025
% Ages 65 and upPopulation14%Percentage2025
% Not marriedPopulation83%Percentage2025
% MarriedPopulation17%Percentage2025
% DivorcedPopulation0.0%Percentage2025
% WidowedPopulation0.0%Percentage2025
Births totalPopulation0Number2024
Births relativePopulation27Number per 1,000 inhabitants2024
Mortality totalPopulation0Number2024
Mortality relativePopulation0Number per 1,000 inhabitants2024
Origin NetherlandsMigration15Number2025
Origin outside NetherlandsMigration15Number2025
Origin EuropeMigration0Number2025
Origin outside EuropeMigration15Number2025
% Origin NetherlandsMigration50%Percentage2025
% Origin outside NetherlandsMigration50%Percentage2025
% Origin EuropeMigration0.0%Percentage2025
% Origin outside EuropeMigration50%Percentage2025
Born in Netherlands origin NetherlandsMigration15Number2025
Born in Netherlands origin EuropeMigration0Number2025
Born in Netherlands origin outside EuropeMigration10Number2025
Born in NetherlandsMigration10Number2025
Born in NetherlandsMigration25Number2025
Born outside Netherlands origin EuropeMigration5Number2025
Born outside Netherlands origin outside EuropeMigration10Number2025
Born outside NetherlandsMigration15Number2025
% Born in Netherlands origin NetherlandsMigration50%Percentage2025
% Born in Netherlands origin EuropeMigration0.0%Percentage2025
% Born in Netherlands origin outside EuropeMigration33%Percentage2025
% Born in NetherlandsMigration33%Percentage2025
% Born in NetherlandsMigration83%Percentage2025
% Born outside Netherlands origin EuropeMigration17%Percentage2025
% Born outside Netherlands origin outside EuropeMigration33%Percentage2025
% Born outside NetherlandsMigration50%Percentage2025
Native DutchMigration20Number2022
Western totalMigration5Number2022
Non-western totalMigration10Number2022
Dutch Antilles and ArubaMigration0Number2022
MoroccoMigration0Number2022
SurinameMigration0Number2022
TurkeyMigration5Number2022
Other non-westernMigration5Number2022
Primary school pupils Education0Number2024
Secondary school pupils Education0Number2024
Secondary vocational education students (MBO) Education0Number2024
Higher professional education students (HBO) Education0Number2024
University students (WO) Education0Number2024
Practical education level Educationno dataNumberno data
Intermediate education level Educationno dataNumberno data
Theoretical education level Educationno dataNumberno data
% Practical education level Educationno dataPercentageno data
% Intermediate education level Educationno dataPercentageno data
% Theoretical education level Educationno dataPercentageno data
Households Households30Number2025
Single-person households Households25Number2025
Multi-person households Households5Number2025
Multi-person households without children Households0Number2025
Multi-person households with children Households5Number2025
% Single-person households Households83%Percentage2025
% Multi-person households Households17%Percentage2025
% Multi-person households without children Households0%Percentage2025
% Multi-person households with children Households17%Percentage2025
Average household size Households1.1Average number2025
Employed labour force Income20Number2023
Net labor participationIncomeno dataPercentageno data
% EmployeesIncomeno dataPercentageno data
% Employees with permanent contractsIncomeno dataPercentageno data
% Employees with flexible contractsIncomeno dataPercentageno data
% Self-employedIncomeno dataPercentageno data
Income receivers per 1,000 inhabitantsIncome0Number2024
Income receiversIncome0Number per 1,000 inhabitants2024
Average income per income recipientIncomeno dataAverage in eurono data
Average income per inhabitantIncomeno dataAverage in eurono data
40% persons with lowest incomeIncomeno dataPercentageno data
20% persons with highest incomeIncomeno dataPercentageno data
% persons Incomeno dataPercentageno data
% persons Incomeno dataPercentageno data
Average standardized household incomeIncomeno dataeurono data
40% households with lowest incomeIncomeno dataPercentageno data
20% households with highest incomeIncomeno dataPercentageno data
Households with a low incomeIncomeno dataPercentageno data
% 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 dataeurono data
Persons with social security welfareIncome0Number2015
Persons with social security for incapacity for workIncome0Number2015
Persons with social security for unemployedIncome0Number2015
Persons with social security for elderlyIncome0Number2015
Persons with social security welfareIncomeno dataPercentageno data
Persons with social security for incapacity for workIncomeno dataPercentageno data
Persons with social security for unemployedIncomeno dataPercentageno data
Persons with social security for elderlyIncomeno dataPercentageno data
Young people with youth care in kindPopulationno dataNumberno data
% Young people with youth carePopulationno dataPercentageno data
Wmo clientsPopulation10Number2024
Wmo clients relativePopulation300Number per 1,000 inhabitants2024
Housing stockHouses32Number2025
Houses per 1,000 inhabitantsHouses914Number per 1,000 inhabitants2025
Newly built dwellingsHouses0Number2024
Non-dwelling stockHouses51Number2025
Newly built non-dwellingsHouses0Number2024
Average house valueHouses€82,000Average in euro2025
House value classHousesMinder dan €100.000Categorical type2025
nannan32Number2025
nannan0Number2025
Privately owned homesHouses0Number2025
Rented homesHouses32Number2025
Rental-housing by corporationHouses32Number2025
Homes other rentalHouses0Number2025
Ownership unknownHouses0Number2025
Single-family housesHouses30Number2025
Multi-family housesHouses2Number2025
InhabitedHouses0%Percentage2025
UninhabitedHouses100%Percentage2025
% Privately owned homesHouses100%Percentage2025
% Rented homesHouses0%Percentage2025
% Rental-housing by corporationHouses0%Percentage2025
% Homes other rentalHouses100%Percentage2025
% Ownership unknownHouses0%Percentage2025
% Single-family housesHouses94%Percentage2025
% Multi-family housesHouses6%Percentage2025
% InhabitedHouses0Number2026
% UninhabitedHouses24Number2026
ApartmentsHouses8Number2026
Terraced housesHouses0Number2026
Corner dwelling typeHouses0Number2026
Semi-detached housesHouses0Number2026
Detached housesHouses0.0%Percentage2026
Unknown dwelling typeHouses75%Percentage2026
% Apartment dwelling typeHouses25%Percentage2026
% Terraced or linked dwelling typeHouses0.0%Percentage2026
% Corner dwelling typeHouses0.0%Percentage2026
% Semi-detached dwelling typeHouses0.0%Percentage2026
% Detached dwelling typeHouses0Number2026
% Unknown dwelling typeHouses0Number2026
Dwellings built before 1945Houses0Number2026
Dwellings built from 1945 to 1965Houses0Number2026
Dwellings built from 1965 to 1975Houses0Number2026
Dwellings built from 1975 to 1985Houses0Number2026
Dwellings built from 1985 to 1995Houses0Number2026
Dwellings built from 1995 to 2005Houses32Number2026
Dwellings built from 2005 to 2015Houses0Number2026
Dwellings built from 2015 to 2025Houses0Number2026
Dwellings built from 2025 onwardsHouses0.0%Percentage2026
Dwellings unknown year of builtHouses0.0%Percentage2026
% Dwellings built before 1945Houses0.0%Percentage2026
% Dwellings built from 1945 to 1965Houses0.0%Percentage2026
% Dwellings built from 1965 to 1975Houses0.0%Percentage2026
% Dwellings built from 1975 to 1985Houses0.0%Percentage2026
% Dwellings built from 1985 to 1995Houses0.0%Percentage2026
% Dwellings built from 1995 to 2005Houses100%Percentage2026
% Dwellings built from 2005 to 2015Houses0.0%Percentage2026
% Dwellings built from 2015 to 2025Houses0.0%Percentage2026
% Dwellings built from 2025 onwardsHouses2,290Average in kWh2024
% Dwellings unknown year of builtHouses0Average in kWh2024
Average electricity supply per homeEnergyno dataPercentageno data
Average electricity feed-inEnergyno dataPercentageno data
% Homes with solar powerEnergy1,722Average in kWh2015
% Homes primarily heated by electricityEnergy1,540Average in kWh2023
Average electricity usage apartmentEnergy1,630Average in kWh2023
Average electricity usage terraced homesEnergy3,769Average in kWh2015
Average electricity usage corner homesEnergy4,537Average in kWh2015
Average electricity usage semi-detached homesEnergy1,560Average in kWh2023
Average electricity usage detached homesEnergy3,824Average in kWh2015
Average electricity usage owner-occupied homesEnergy360Average per m³2024
Average electricity usage rental homesEnergy0%Percentage2014
Average natural gas usage totalEnergyno dataPercentageno data
% Homes with district heatingEnergyno dataPercentageno data
% Natural gas-free homesEnergy667Average per m³2015
% Natural gas homesEnergy440Average per m³2023
Average natural gas usage apartmentEnergy1,210Average per m³2023
Average natural gas usage terraced homesEnergy1,454Average per m³2015
Average natural gas usage corner homesEnergy2,065Average per m³2015
Average natural gas usage semi-detached homesEnergy1,435Average per m³2015
Average natural gas usage detached homesEnergy650Average per m³2023
Average natural gas usage owner-occupied homesEnergy40Number2024
Average natural gas usage rental homesEnergy0Number2024
Businesses totalBusiness5Number2024
Businesses agriculture, forestry, fishingBusiness5Number2024
Businesses industry and energyBusiness0Number2024
Businesses trade and cateringBusiness5Number2024
Businesses transport, information, communicationBusiness10Number2024
Businesses financial services, real estateBusiness10Number2024
Businesses business servicesBusiness5Number2024
Government, education, careBusiness0.0%Percentage2024
Businesses culture, recreation, other servicesBusiness12%Percentage2024
% Businesses agriculture, forestry, fishingBusiness12%Percentage2024
% Businesses industry and energyBusiness0.0%Percentage2024
% Businesses trade and cateringBusiness12%Percentage2024
% Businesses transport, information, communicationBusiness25%Percentage2024
% Businesses financial services, real estateBusiness25%Percentage2024
% Businesses business servicesBusiness12%Percentage2024
% Government, education, careBusiness15Number2025
% Businesses culture, recreation, other servicesBusiness15Number2025
Passenger cars totalTransport0Number2025
Passenger cars petrolTransport0.5Number2025
Passenger cars other fuelTransport48Number2025
Passenger cars per householdTransport0Number2025
Passenger cars per surfaceTransportno dataNumberno data
MotorcyclesTransport31Number of hectares2025
Public charging stationsTransport31Number of hectares2025
Surface totalRegional0Number of hectares2025
Surface landRegional113Number per km²2025
Surface waterRegional4Indicator 1-52025
Population densityRegional892Average number per km²2025
Address densityRegional39Number2025
Change in classification of neighborhoodsnan20Number2025
Crime totalCrime4Number2025
Crime theftCrime0Number2025
Crime violence and sexual abuseCrime0Number2025
Crime environmentalCrime6Number2025
Crime scamCrime7Number2025
Crime trafficCrime2Number2025
Crime destructionCrime1,114Number per 1,000 inhabitants2025
Crime otherCrime571Number per 1,000 inhabitants2025
Crime theftCrime114Number per 1,000 inhabitants2025
Crime theftCrime0Number per 1,000 inhabitants2025
Crime violence and sexual abuseCrime0Number per 1,000 inhabitants2025
Crime environmentalCrime171Number per 1,000 inhabitants2025
Crime scamCrime200Number per 1,000 inhabitants2025
Crime trafficCrime57Number per 1,000 inhabitants2025
Crime destructionCrime6Number2024
Crime otherCrime6Number2024
Traffic accidents totalTraffic accidents0Number2024
Traffic accidents only material damageTraffic accidents0Number2024
Traffic accidents injuriesTraffic accidents83Number2026
Traffic accidents deadlyTraffic accidents70Number2026
Addresses totalRegional32Number2026
Addresses with postal codeRegional0Number2026
Addresses with residential functionRegional0Number2026
Addresses with meeting functionRegional0Number2026
Addresses with cell functionRegional19Number2026
Addresses with healthcare functionRegional12Number2026
Addresses with industrial functionRegional0Number2026
Addresses with office functionRegional1Number2026
Addresses with lodging functionRegional4Number2026
Addresses with educational functionRegional6Number2026
Addresses with sports functionRegional13Number2026
Addresses with retail functionRegional83Number2026
Addresses with other usage functionRegional0Number2026
Residential objectsRegional0Number2026
Berth locationsRegional53Number2026
Stand locationsRegional83Number2026
Buildings with addressRegional20Number2026
Addresses with buildingRegional83Number2026
Parcels with addressRegional83Number2026
Addresses with parcelRegional0Number2026
Addresses within built-up areaRegional32Number2026
Addresses outside built-up areaRegional0Number2026
Addresses with residential function within built-up areaRegional0Number2026
Addresses with residential function outside built-up areaRegional0Number2026
Buildings before 1700Regional0Number2026
Buildings 1700 to 1900Regional0Number2026
Buildings 1900 to 1925Regional0Number2026
Buildings 1925 to 1950Regional0Number2026
Buildings 1950 to 1970Regional11Number2026
Buildings 1970 to 1980Regional6Number2026
Buildings 1980 to 1990Regional1Number2026
Buildings 1990 to 2000Regional33Number2026
Buildings 2000 to 2010Regional2Number2026
Buildings 2010 to 2020Regional0Number2026
Buildings 2020 and laterRegional0Number2026
Buildings built before 1700Regional0Number2026
Buildings built from 1700 to 1900Regional0Number2026
Buildings built from 1900 to 1925Regional0Number2026
Buildings built from 1925 to 1950Regional0Number2026
Buildings built from 1950 to 1970Regional19Number2026
Buildings built from 1970 to 1980Regional7Number2026
Buildings built from 1980 to 1990Regional2Number2026
Buildings built from 1990 to 2000Regional51Number2026
Buildings built from 2000 to 2010Regional4Number2026
Buildings built from 2010 to 2020Regional33Number2026
Buildings built from 2020 onwardsRegional37Number2026
Undetermined energy labelEnergy consumption13Number2026
Provisional energy labelEnergy consumption2Number2026
Final energy labelsEnergy consumption0Number2026
Energy label A+++++Energy consumption1Number2026
Energy label A++++Energy consumption2Number2026
Energy label A+++Energy consumption2Number2026
Energy label A++Energy consumption40Number2026
Energy label A+Energy consumption2Number2026
Energy label AEnergy consumption1Number2026
Energy label BEnergy consumption0Number2026
Energy label CEnergy consumption0Number2026
Energy label DEnergy consumption0Number2026
Energy label EEnergy consumption0Number2026
Energy label FEnergy consumption5245NL-5245PEName2026
nanType of house number range5245Name2026
nanNumber of public space100%Percentage2026
Most common zipcodeRegional2.3Average distance in km2024
Coverage percentage most common zipcodeRegional0.0Average number2024
Distance to general practitionerProximity7Average number2024
General practitioners within 1 kmProximity15Average number2024
General practitioners within 3 kmProximity8Average distance in km2024
General practitioners within 5 kmProximity2.4Average distance in km2024
Distance to general practitioner postProximity2.6Average distance in km2024
Pharmacy distanceProximity2.0Average number2024
Hospital with outpatient clinic distanceProximity4.0Average number2024
Hospitals with outpatient clinic within 5 kmProximity9Average number2024
Hospitals with outpatient clinic within 10 kmProximity8Average distance in km2024
Hospitals with outpatient clinic within 20 kmProximity0.0Average number2024
Hospital distanceProximity1.0Average number2024
Hospitals within 5 kmProximity1.0Average number2024
Hospitals within 10 kmProximity1.8Average distance in km2024
Hospitals within 20 kmProximity0.0Average number2024
Large supermarket distanceProximity6Average number2024
Large supermarkets within 1 kmProximity17Average number2024
Large supermarkets within 3 kmProximity1.8Average distance in km2024
Large supermarkets within 5 kmProximity0.0Average number2024
Other daily groceries distanceProximity17Average number2024
Other daily groceries within 1 kmProximity42Average number2024
Other daily groceries within 3 kmProximity1.9Average distance in km2024
Other daily groceries within 5 kmProximity1.0Average number2024
Department store distanceProximity5Average number2024
Department stores within 5 kmProximity15Average number2024
Department stores within 10 kmProximity1.8Average distance in km2024
Department stores within 20 kmProximity0.0Average number2024
Cafe distanceProximity3.0Average number2024
Cafes within 1 kmProximity7Average number2024
Cafes within 3 kmProximity1.5Average distance in km2024
Cafes within 5 kmProximity0.0Average number2024
Snack bar distanceProximity20Average number2024
Snack bars within 1 kmProximity43Average number2024
Snack bars within 3 kmProximity1.2Average distance in km2024
Snack bars within 5 kmProximity0.0Average number2024
Restaurant distanceProximity21Average number2024
Restaurants within 1 kmProximity47Average number2024
Restaurants within 3 kmProximity2.5Average distance in km2024
Restaurants within 5 kmProximity1.0Average number2024
Hotel distanceProximity21Average number2024
Hotels within 5 kmProximity37Average number2024
Hotels within 10 kmProximity1.3Average distance in km2024
Hotels within 20 kmProximity0.0Average number2024
Daycare distanceProximity20Average number2024
Daycares within 1 kmProximity34Average number2024
Daycares within 3 kmProximity1.3Average distance in km2024
Daycares within 5 kmProximity0.0Average number2024
After-school care distanceProximity20Average number2024
After-school care within 1 kmProximity37Average number2024
After-school care within 3 kmProximity1.3Average distance in km2024
After-school care within 5 kmProximity0.0Average number2024
Primary education distanceProximity9Average number2024
Primary education within 1 kmProximity20Average number2024
Primary education within 3 kmProximity3.2Average distance in km2024
Primary education within 5 kmProximity0.0Average number2024
Secondary education total distanceProximity5Average number2024
Secondary education total within 3 kmProximity9Average number2024
Secondary education total within 5 kmProximity3.2Average distance in km2024
Secondary education total within 10 kmProximity0.0Average number2024
Secondary education VMBO distanceProximity5Average number2024
Secondary education VMBO within 3 kmProximity8Average number2024
Secondary education VMBO within 5 kmProximity3.2Average distance in km2024
Secondary education VMBO within 10 kmProximity0.0Average number2024
Secondary education HAVO VWO distanceProximity2.0Average number2024
Secondary education HAVO VWO within 3 kmProximity4.0Average number2024
Secondary education HAVO VWO within 5 kmProximity0.37Average distance in km2015
Secondary education HAVO VWO within 10 kmProximity0.37Average distance in km2015
Public green space total distanceProximity3.52Average distance in km2015
Park or garden distanceProximity1.57Average distance in km2015
Day recreational area distanceProximity2.5Average distance in km2015
Forest distanceProximity2.5Average distance in km2015
Open natural area total distanceProximity3.06Average distance in km2015
Open dry natural area distanceProximity0.65Average distance in km2015
Open wet natural area distanceProximity0.83Average distance in km2015
Semi-public green space total distanceProximity1.94Average distance in km2015
Sports field distanceProximity5Average distance in km2015
Allotment garden distanceProximity0.83Average distance in km2015
Residential recreational area distanceProximity1.76Average distance in km2015
Cemetery distanceProximity1.3Average distance in km2024
Recreational inland water distanceProximity2.3Average distance in km2024
Main road access distanceProximity6.2Average distance in km2024
Train station distanceProximity2.3Average distance in km2024
Major transfer station distanceProximity3.0Average distance in km2024
Library distanceProximity4.4Average distance in km2024
Swimming pool distanceProximity5.7Average distance in km2024
Artificial ice rink distanceProximity0.0Average number2024
Performing arts distanceProximity4.0Average number2024
Performing arts within 5 kmProximity10Average number2024
Performing arts within 10 kmProximity5.8Average distance in km2024
Performing arts within 20 kmProximity5.7Average distance in km2024
Pop venue distanceProximity0.0Average number2024
Cinema distanceProximity2.0Average number2024
Cinemas within 5 kmProximity5Average number2024
Cinemas within 10 kmProximity7.4Average distance in km2024
Cinemas within 20 kmProximity2.4Average distance in km2024
Sauna distanceProximity5.8Average distance in km2024
Tanning salon distanceProximity0.0Average number2024
Museum distanceProximity6Average number2024
Museums within 5 kmProximity18Average number2024
Museums within 10 kmProximity4.1Average distance in km2024
Museums within 20 kmProximity1.0Average number2024
Attraction distanceProximity6Average number2024
Attractions within 10 kmProximity49Average number2024
Attractions within 20 kmProximity1.9Average distance in km2024

Table with more than 250 topics for the neighbourhood De Groote Vliet.

👆 The table above shows the latest available data for the neighbourhood De Groote Vliet 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